SYSTEMS AND METHODS FOR UTILIZING SENSOR INFORMATICS TO DETERMINE INSURANCE COVERAGE AND RECOVERABLE DEPRECIATION FOR PERSONAL OR BUSINESS PROPERTY

Abstract

A computer device and method for processing data to determine insurance coverage for objects and associated recoverable depreciation based upon informatic data. Informatic data is received from one or more informatic sensor devices relating to one or more objects associated with an insured property. Computer analysis is performed on the received informatic data to determine an insurance claim event for at least one of the one or more objects associated with the insured property. Computer analysis is also performed on the received informatic data to determine if recoverable depreciation is applicable to a determined insurance claim.

Description

FIELD OF THE INVENTION

The disclosed embodiments generally relate to a method and computerized system for collecting and utilizing sensor data, and more particularly, to utilizing sensor informatics to determine insurance coverage for personal or business property associated with an insured property and associated recoverable depreciation.

BACKGROUND OF THE INVENTION

Smart house functionality is a maturing space, but the opportunity for insurance companies remains largely untapped. Thus, the terms of insurance policies, such as homeowner insurance policies, may not be reflective of the true nature of the risks being insured.

Accordingly, there is an unmet need for measuring information relating to an insured risk, such as a residence or structures located on the residence premises, and utilizing that information to make appropriate modifications to insurance policy terms, such as the deductible amount.

SUMMARY OF THE INVENTION

The purpose and advantages of the below described illustrated embodiments will be set forth in and apparent from the description that follows. Additional advantages of the illustrated embodiments will be realized and attained by the devices, systems and methods particularly pointed out in the written description and claims hereof, as well as from the appended drawings.

To achieve these and other advantages and in accordance with the purpose of the illustrated embodiments, in one aspect described is a computer device and method for processing insurance claim data to determine insurance coverage for personal or business property and associated recoverable depreciation based upon informatic data. Informatic data is received from one or more informatic sensor devices relating to one or more items associated with an insured property and computer analysis is performed on the received informatic data to determine an insurance claim event for at least one of the one or more objects associated with the insured property. Preferably, electronic data relating to an insurance policy associated with the insured property is also received and analyzed to identify one or more relevant sections of the insurance policy relating to the determined insurance claim event regarding the at least one item. Predefined business rules are preferably utilized using the determined insurance claim event and relevant sections of the insurance policy to determine if the insurance policy supports an insurance claim regarding the determined insurance claim event. Computer analysis is preferably also performed on the received informatic data to determine if recoverable depreciation is applicable to a determined insurance claim.

The recoverable depreciation may be calculated by determining if an insured has replaced an object regarding an insurance claim and determining the value of the replaced item. Alternatively, the recoverable depreciation may be calculated by determining if an insured has repaired an item regarding an insurance claim and determining the value of the repaired item or the cost of the repairs.

In other aspects, electronic notification is provided to an insured that identifies an insurance claim for the determined insurance claim event that is supported by the insurance policy wherein the notification preferably identifies the determined applicability of recoverable depreciation for an insurance claim. Additionally, a determination may be made regarding the identification of one or more third party vendors relating to repairs to be made in connection with the determined insurance claim event, and further, repair services may be scheduled from the one or more third party vendors. Product documentation may also be electronically identified relating to the at least one item, wherein the product documentation preferably includes a service manual relating to the at least one item.

In yet another aspect, at least one camera sensor device detects indicia associated with the at least one object located in the insured property wherein analysis of the indicia determines insurance coverage for the at least one object. The indicia may be provided by an insurance company providing insurance coverage for the at least one object.

This summary section is provided to introduce a selection of concepts in a simplified form that are further described subsequently in the detailed description section. This summary section is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying appendices and/or drawings illustrate various non-limiting, example, inventive aspects in accordance with the present disclosure:

FIG. 1 illustrates an example system for utilizing informatics to inform and assist appliance repair, management, maintenance, and usage;

FIG. 2 illustrates a network computer device/node in accordance with an illustrated embodiment; and

FIG. 3 is a flow diagram of operational steps of the structural informatics module of FIG. 1.

DETAILED DESCRIPTION OF CERTAIN EMBODIMENTS

The illustrated embodiments are now described more fully with reference to the accompanying drawings wherein like reference numerals identify similar structural/functional features. The illustrated embodiments are not limited in any way to what is illustrated as the illustrated embodiments described below are merely exemplary, which can be embodied in various forms as appreciated by one skilled in the art. Therefore, it is to be understood that any structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a basis for the claims and as a representation for teaching one skilled in the art to variously employ the discussed embodiments. Furthermore, the terms and phrases used herein are not intended to be limiting but rather to provide an understandable description of the illustrated embodiments. Also, the flow charts and methods described herein do not imply either required steps or a required order to the steps, and the illustrated embodiments and processes may be implemented in any order and/or combination that is practicable.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Although any methods and materials similar or equivalent to those described herein can also be used in the practice or testing of the illustrated embodiments, exemplary methods and materials are now described.

It must be noted that as used herein and in the appended claims, the singular forms “a”, “an,” and “the” include plural referents unless the context clearly dictates otherwise. Thus, for example, reference to “a stimulus” includes a plurality of such stimuli and reference to “the signal” includes reference to one or more signals and equivalents thereof known to those skilled in the art, and so forth.

It is to be appreciated the illustrated embodiments discussed below are preferably a software algorithm, program or code residing on computer useable medium having control logic for enabling execution on a machine having a computer processor. The machine typically includes memory storage configured to provide output from execution of the computer algorithm or program.

As used herein, the term “software” is meant to be synonymous with any code or program that can be in a processor of a host computer, regardless of whether the implementation is in hardware, firmware or as a software computer product available on a disc, a memory storage device, or for download from a remote machine. The embodiments described herein include such software to implement the equations, relationships and algorithms described above. One skilled in the art will appreciate further features and advantages of the illustrated embodiments based on the above-described embodiments. Accordingly, the illustrated embodiments are not to be limited by what has been particularly shown and described, except as indicated by the appended claims. Commonly assigned U.S. Pat. Nos. 8,289,160 and 8,400,299 are related to certain embodiments described herein and are each incorporated herein by reference in their entirety.

As used herein, the term “risk related data” means data or information that may be relevant to an insurance company's decisions about underwriting, pricing, and other terms and conditions on which it is willing to issue insurance policies.

As used herein, the term “insurance policy” refers to a contract between an insurer, also known as an insurance company, and an insured, also known as a policyholder, in which the insurer agrees to indemnify the insured for specified losses, costs, or damage on specified terms and conditions in exchange of a certain premium amount paid by the insured. In a typical situation, when the insured suffers some loss for which he/she may have insurance the insured makes an insurance claim to request payment for the loss. It is to be appreciated for the purpose of the embodiments illustrated herein, the insurance policy is not to be understood to be limited to a residential or homeowners insurance policy, but can be for a commercial, umbrella, and other insurance policies known by those skilled in the art.

As also used herein, “insured” may refer to an applicant for a new insurance policy and/or may refer to an insured under an existing insurance policy.

As used herein, the term “insurance policy” may encompass a warranty or other contract for the repair, service, or maintenance of insured property.

As used herein, “insured property” means a dwelling, other buildings or structures, personal property, or business property, as well as the premises on which these are located, some or all which may be covered by an insurance policy.

Turning now descriptively to the drawings, FIG. 1 depicts an exemplary system 100 communicatively connected to sensors at an insured property in which below illustrated embodiments may be implemented. As to be further described below, it is to be understood examples of sensors include, but are not limited to, camera devices, webcams, smart tv camera devices (and other appliance camera devices), smart phone devices, tablet devices, satellite imaging devices (including high-device imaging satellite devices), infrared and/or radar devices and the like. It is to be further understood that first and second networks 50 are each a geographically distributed collections of nodes interconnected by communication links and segments for transporting data between end nodes, such as personal computers, work stations, smart phone devices, tablets, televisions, sensors and or other devices such as automobiles, etc. Many types of networks are available, with the types ranging from local area networks (LANs) to wide area networks (WANs). LANs typically connect the nodes over dedicated private communications links located in the same general physical location, such as an insured property, structure, residence or campus. WANs, on the other hand, typically connect geographically dispersed nodes over long-distance communications links, such as common carrier telephone lines, optical lightpaths, synchronous optical networks (SONET), synchronous digital hierarchy (SDH) links, or Powerline Communications (PLC), and others.

Communications 75 represents computerized communications as known by those skilled in the art. For instance, communications 75 may be wired links or may comprise a wireless communication medium, where certain nodes are in communication with other nodes, e.g., based on distance, signal strength, current operational status, location, etc. Moreover, each of the devices can communicate data packets (or frames) with other devices using predefined network communication protocols as will be appreciated by those skilled in the art, such as various wired protocols and wireless protocols etc., where appropriate. In this context, a protocol consists of a set of rules defining how the nodes interact with each other. Those skilled in the art will understand that any number of nodes, devices, links, etc. may be used in the computer network, and that the view shown herein is for simplicity. Also, while the embodiments are shown herein with reference to a general network cloud, the description herein is not so limited, and may be applied to networks that are hardwired.

As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or computer program product. Accordingly, aspects of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may generally be referred to herein as a “circuit,” “module” or “system.” Furthermore, aspects of the present invention may take the form of a computer program product embodied in one or more computer readable medium(s) having computer readable program code embodied thereon.

Any combination of one or more computer readable medium(s) may be utilized. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. For exemplary purposes and without limitations, examples of the computer readable storage medium include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the “C” programming language or similar programming languages. The program code may execute entirely on the server computer, partly on the server computer, as a stand-alone software package, partly on the server computer and partly on a remote computer (such as computing device 300) or entirely on the remote computer. In the latter scenario, the remote computer may be connected to the server computer through any type of network, including a local area network (LAN) or a wide area network (WAN), a combination thereof, or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).

Aspects of the present invention are described below with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.

These computer program instructions may also be stored in a non-transitory computer readable medium that can direct a computer, other programmable data processing apparatus, or other devices to function in a particular manner, such that the instructions stored in the computer readable medium produce an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions that execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.

Turning to FIG. 1, system 100 includes sensors 90 and management module 105 that includes retrieval engine 110, data engine 120, command generation engine 130 and policy engine 140. In one embodiment, first network 50 is a LAN and second network 50 is a WAN (best shown in FIG. 1), such as the internet, although it is contemplated herein that networks 50 may be any system and/or method of computerized communications as understood by those skilled in the art.

FIG. 2 is a schematic block diagram of an example computing device 300 that may be used (or components thereof) with one or more embodiments described herein. As explained above, in different embodiments these various devices be configured to communicate with each other in any suitable way, such as, for example, via communication 75 over networks 50.

Device 300 is only one example of a suitable system and is not intended to suggest any limitation as to the scope of use or functionality of embodiments of the invention described herein. Regardless, computing device 300 is capable of being implemented and/or performing any of the functionality set forth herein.

Computing device 300 is operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well-known computing systems, environments, and/or configurations that may be suitable for use with computing device 300 include, but are not limited to, personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputer systems, mainframe computer systems, and distributed data processing environments that include any of the above systems or devices, and the like.

Computing device 300 may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, and so on that perform particular tasks or implement particular abstract data types. Computing device 300 may be practiced in distributed data processing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed data processing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.

Device 300 is shown in FIG. 2 in the form of a general-purpose computing device. The components of device 300 may include, but are not limited to, one or more processors or processing units 310, a system memory 340, interface device 320, and a bus 305 that couples various system components including system memory 340 to processor 310.

Bus 305 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

Computing device 300 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by device 300, and it includes both volatile and non-volatile media, removable and non-removable media.

System memory 340 can include computer system readable media in the form of volatile memory, such as random access memory (RAM) 342, cache memory, and hard drive 345, which may include database 346. Computing device 300 may further include other removable/non-removable, volatile/non-volatile computer system storage media. By way of example only, hard drive 345 can be provided for reading from and writing to a non-removable, non-volatile magnetic media. Interface device 320 includes, without limitation, a magnetic disk drive for reading from and writing to a removable, non-volatile magnetic disk (e.g., a “floppy disk”), and an optical disk drive for reading from or writing to a removable, non-volatile optical disk such as a CD-ROM, DVD-ROM or other optical media can be provided. In such instances, each can be connected to bus 305 by one or more data media interfaces. As will be further depicted and described below, memory 340 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.

Management module 105, has a set (at least one) of engines, such as retrieval engine 110, data engine 120, command generation engine 130 and policy engine 140 described below, which may be stored in memory 340, and may function solely or in combination with an operating system, one or more application programs, other program modules, and program data. Each of the operating system, one or more application programs, other program modules, and program data or some combination thereof, may include an implementation of a networking environment. Management module 105 generally carry out the functions and/or methodologies of embodiments of the invention as described herein.

Device 300 may also communicate with one or more interface devices 320 such as a keyboard, a pointing device, a display, etc.; one or more devices that enable a user to interact with computing device 300; and/or any devices (e.g., network card, modem, etc.) that enable computing device 300 to communicate with one or more other computing devices. Such communication can occur via Input/Output (I/O) interfaces. Still yet, device 300 can communicate with one or more networks such as a local area network (LAN), a general wide area network (WAN), and/or a public network (e.g., the Internet) via a network adapter 320. As depicted, network adapter 320 communicates with the other components of computing device 300 via bus 305. It should be understood that although not shown, other hardware and/or software components could be used in conjunction with device 300. Examples, include, but are not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc.

FIGS. 1 and 2 are intended to provide a brief, general description of an illustrative and/or suitable exemplary environment in which embodiments of the below described present invention may be implemented. FIGS. 1 and 2 are exemplary of a suitable environment and are not intended to suggest any limitation as to the structure, scope of use, or functionality of an embodiment of the present invention. A particular environment should not be interpreted as having any dependency or requirement relating to any one or combination of components illustrated in an exemplary operating environment. For example, in certain instances, one or more elements of an environment may be deemed not necessary and omitted. In other instances, one or more other elements may be deemed necessary and added.

Sensor 90 includes captured data related to structures. It is contemplated herein that structures include any type of insured property structure (e.g., residential, commercial, retail, municipal, etc.) in which the capture and analysis of sensor data is useful for the reasons at least described herein. It is further contemplated herein that sensors may be installed on property that may or may not have a structure. In one embodiment, sensors 90 communicate directly with management module 105. However, it is contemplated herein that sensors 90 may communicate with computing device 300 operating on the same network 50 (best shown in FIG. 1). In this embodiment, computing device 300 receives information from sensors 90 and communicates the information to management module 105. Computing device 300 may immediately transfer the information to management module 105, it may be a delayed transfer (e.g., scheduled for the middle of the night when interne(usage is low), and/or it may be any communication methodology as known by those skilled in the art. Computing device 300 is preferably configured and operational to receive (capture) data from various sensors 90 regarding certain measured aspects of the insured property and transmit that captured data to a management module 105 via network 50. It is noted that device 300 may perform analytics regarding the captured sensor data regarding the insured property, and/or management module 105, preferably located or controlled by an insurance company/carrier, may perform such analytics, as also further described below. Further, sensors 90 may be connected to computing device 300 by wire, or by a wireless technology, or via any communication methodology as known by those skilled in the art.

Although various sensor types are illustrated in FIG. 1 and described below, the sensor types described and shown herein are not intended to be exhaustive as embodiments of the present invention may encompass any type of known or unknown sensor type which facilitates the purposes and objectives of the certain illustrated embodiments described herein. It is to be understood and appreciated, in accordance with the embodiments herein, sensors 90 are preferably installed, and its data is collected, maintained, accessed and otherwise utilized pursuant to the permission of the insured(s) and subject to appropriate security and privacy protections. Exemplary sensor types include (but are not limited to):

Motion sensor—One type of motion sensor 90 detects motion within a range of sensor 90. Thus, motion sensor 90 may be placed to detect when people, animals and/or objects move within sensor's 90 field of vision. Another type of sensor 90 may sense motion in the structure to which sensor 90 is attached. Although structures typically do not move, in the event of an earthquake, flood, damage to that part of the structure, and/or other devastating event, motion sensor 90 may detect the movement of the structure itself.Temperature sensor—Temperature sensor 90 detects the temperature of the desired medium. Thus, temperature sensor 90 may be configured to measure the temperature of ambient air or of a specific surface (e.g., the wall to which temperature sensor 90 is attached). It is contemplated herein that temperature sensor 90 may be placed outside the structure (e.g., on an outside wall and/or the roof), inside the structure (e.g., on an interior wall, an interior ceiling, an interior floor, a basement, an attic, a kitchen, a bathroom, a bedroom, a workspace, etc.), or at a boundary therebetween.Humidity sensor—As with other sensors 90, humidity sensor 90 may be placed anywhere inside/outside/on the structure as recognized by those skilled in the art.Gas detection sensor—Detects the presence of various gasses. As with other sensors 90, gas detection sensor 90 may be placed anywhere inside/outside/on the structure as recognized by those skilled in the art. For exemplary purposes only and without limitation, gas detection sensor may be configured to detect the presence of carbon monoxide (or any other harmful gasses, such as radon), oxygen, and/or methane (or any other flammable gasses). Further, the readings may be binary (e.g., either the gas is present or it is not present), or the readings may be quantitative (e.g., the percentage of air the comprises the gas, parts per million of the gas).Smoke detector sensor—Detects the presence of smoke. As with other sensors 90, smoke detection sensor 90 may be placed anywhere inside/outside/on the structure as recognized by those skilled in the art. The readings of smoke detection sensor may be binary (e.g., either the gas is present or it is not present), or the readings may be quantitative (e.g., the percentage of air the comprises smoke, parts per million of smoke).Water pressure sensor—Detects the water pressure at various locations within the structure. Water pressure sensors 90 may be placed anywhere inside or outside the structure and thus may provide information related to the stresses being induced upon the structure's plumbing system (including sewer lines, water lines, HVAC system, appliances, and automatic fire suppression systems). This information may be utilized by management module to indicate a plumbing system that is operating close to stress limits, and thus, a structure for which water damage may be more likely.Water flow sensor—Detects the amount of water flowing through selected points in the plumbing system(including sewer lines, water lines, HVAC system, appliances, and automatic fire suppression systems). Water flow sensor 90 may be placed anywhere inside or outside the structure and thus may provide information related to the amount of water being routed to the structure, and more particularly, which parts of the structure are receiving exactly (or approximately) how much water.Leak detection sensor—configured and operational to preferably monitor the presence of leaks from gas and water plumbing pipes both inside and outside the walls of the insured property. The leak detection sensor may have one or more probes attached to various locations of the insured property's plumbing and piping, and this device 90 may record the fact that there is a gas or water leak. An example of this is that a leak detection sensor can be placed behind the washing machine. If the hoses that connect the washing machine to the water line were to break the leak detection sensor would know that there was a water leak and notify the insured and/or the insurance company. The insured can also give prior authorization to the insurance company to act on their behalf to correct the water leak. For instance, call a plumber to turn off the water at the street when the leak detector activates and the insured does not respond to the leak detection sensor after a certain period of time. The leak detection sensors do not need to necessarily be placed around the appliance or pipe that they are intended to check for leaks. For example, an insured could place a sensor on the main water line that goes into the insured property and this sensor could know by changes in pressure, temperature, etc. that there is a later or gas leak in the insured property—even if the leak was inside the walls and not viewable inside the home. An analysis model could use the information about how often the leak detection sensor alerts, whether the insured uses leak detection sensor(s), and where they are placed in various ways such as rating the home insurance, tracking water pressure, and/or providing advice and guidance.Wind speed sensor—Wind speed sensor 90 detects the wind speed at that location and may be placed anywhere inside or outside the structure.Air pressure sensor—Air pressure sensor 90 may be placed anywhere inside or outside the structure. This information may be analyzed, for example, to determine how quickly and easily the structure's air pressure equalizes to air pressure changes to the outside air.Electrical system sensor—Electrical system sensor 90 detects the operational parameters of the structure's electrical system. Readings from sensor 90 could be used to determine if the voltage is (persistently) too high, too low, or if the voltage frequently drops and/or spikes. Such conditions may suggest that the insured property 300 is at risk for fire. Other types of electrical measurements could be taken, such as readings of current flowing through the electrical system. Still other types of electrical measurements could be determined include how energy is used and at what times of day it is used, etc.Structural sensor—Structural sensor 90 may be configured to detect the (changing) conditions of the structure's elements (e.g., support beams, floors, ceilings, roofs, walls, etc.). Structural readings from one or more locations inside and/or outside the structure could thus be recorded by sensor 90 and transmitted to management module 105.Environmental Sensor—Environmental sensor 90 may be configured to detect various environmental conditions relating to insured property 300, such as the air quality present in the structure, the presence of mold/bacteria/algae/lead paint or any contaminant adverse to human health (whether airborne or attached to a portion of the structure of the structure).Camera Sensor—Camera sensor 90 may be configured to detect various wavelengths, including without limitation visible light, infrared, and thermal. It is contemplated herein that cameras may be two-dimensional (2D) cameras, three-dimensional (3D) cameras, and/or any functionality as known in the art. It is contemplated herein that multiple 2D cameras may be used in cooperation and/or conjunction such that the location of detected objects may be determined, such as, again for exemplary purposes and without limitation, a common 3D camera configuration (e.g., two 2D cameras located a few inches apart horizontally), and a different 3D configuration (e.g., two 2D cameras located a few inches apart vertically, two or more 2D cameras located at different known locations such that the location of commonly detected objects can be calculated).

With exemplary sensors 90 identified and briefly described above, and as will be further discussed below, it is to be generally understood sensors 90 preferably record certain data parameters relating to products and services provided by an insurance carrier, such as USAA, to determine insurance policy modifications and other value added services such as those described below. It is to be understood and appreciated the aforementioned sensors 90 may be configured as wired and wireless types integrated in a networked environment (e.g., WAN, LAN, WiFi, 802.11X, 3G, LTE, etc.), which may also have an associated IP address. It is to be further appreciated the sensors 90 may consist of internal sensors located within the structure of a structure; external sensors located external of a structure; sound sensors for detecting ambient noise (e.g., for detecting termite and rodent activity, glass breakage, intruders, etc.); camera sensors (e.g., visible light, infrared light and/or any wavelength) such as those consisting of camera standalone devices, or by integrating into existing camera devices in a structure. It is additionally to be understood and appreciated that sensors 90 can be networked into a central computer hub (e.g., device 300) in an insured property to aggregate collected sensor data packets or sensors 90 may be communicatively connected to other sensors 90 and/or computing device 300 (e.g., hard wired to either). Aggregated data packets can be analyzed in either a computer system (e.g., computing device 300) or via an external computer environment (e.g., management module 105). Additionally, it is to be understood data packets collected from sensors 90 can be aggregated in computing device 300 and sent as an aggregated packet to management module 105 for subsequent analysis whereby data packets may be transmitted at prescribed time intervals (e.g., a benefit is to reduce cellular charges in that some insured properties may not have Internet access or to send during low internet usage hours).

In accordance with an illustrated embodiment, in addition to the aforementioned, computing device 300 may additionally be coupled to a clock which may keep track of time for sensors 90, thereby allowing a given item of data to be associated with the time at which the data was captured. For example, sensor 90 may recurrently capture readings of temperature, wind speed, humidity, appliance operating times, etc., and may timestamp each reading. The time at which the readings are taken may be used to reconstruct events or for other analytic purposes, such as those described herein. For example, the timestamps on wind speed readings taken during a hurricane may allow it to be determined, after the hurricane has occurred, how quickly the wind speed rose in the vicinity of the structure.

A storage component may further be provided and utilized to store data readings and/or timestamps in sensors 90. For example, a storage component may include, or may otherwise make use of, magnetic or optical disks, volatile random-access memory, non-volatile random-access memory, or any other type of storage device. There may be sufficient data storage capacity to store several hours or several weeks of data readings. For example, the severe part of a hurricane might last for half a day, a full day, or several days. A storage component might have sufficient storage capacity to allow twelve or more hours of readings to be stored, thereby allowing forensic reconstruction of how the hurricane affected the structure during the full time that the structure was experiencing the hurricane's impact.

A communication component may further be provided and utilized to communicate recorded information from computing device 300 to an external location, such as management module 105, which may be associated with an insurance carrier such as USAA. The communication component may be, or may comprise, a network communication card such as an Ethernet card, a WiFi card, or any other communication mechanism. However, the communication component could take any form and is not limited to these examples. The communication component might encrypt data that it communicates, in order to protect the security and/or privacy of the data. Additionally, data from sensors 90, a computerized clock and/or a storage component may be communicated directly to management module 105, via network 50, thus obviating or mitigating the need for computing device 300.

Management module 105 may include, or otherwise may cooperate with, retrieval engine 110. Retrieval engine 110 receives information from sensors 90 and/or computing device 300. In one embodiment, retrieval engine 110 sends a query to computing device 300 to respond with data generated by sensors 90. In another embodiment, retrieval engine 110 sends a query to sensors 90 to retrieve data they generated. In yet another embodiment, sensors 90 send data to retrieval engine 110 as the data is generated. In still another embodiment, sensors 90 store data and periodically (e.g., every night at 3:00 A.M.) send to retrieval engine 110. However, such is not an exhaustive list of methods of communicating data from sensors 90 to retrieval engine 110, and it is contemplated herein that data may be sent in any way as known in the art, including permutations of methods described herein.

In one embodiment a single instance of management module 105 receives communications from sensors 90 at a plurality of structures/locations (e.g., thousands of sensor locations communicating to a single management module 105), however it is contemplated herein that any permutation of sensor(s) 90 and management module(s) 105 may be utilized as would be readily understood by those skilled in the art.

Management module 105 may further include data engine 120 that analyzes data that has been generated by sensors 90. Data engine 120 may apply business rules to identify manuals related to an appliance that informatics has been communicated about, scheduling a repair for an appliance that informatics has been communicated about, sending a message to change a setting of an appliance that informatics has been communicated about, and/or sending a message about a repair and/or alteration including instructions on attending to such repair and/or alteration.

Data engine 120 may further electronically receive an insurance policy (e.g., covering an insured property) to identify one or more relevant sections of the insurance policy relating to the a determined insurance claim event regarding at least one or more items located in or on the insured property. Predefined business rules are preferably utilized in view of a determined insurance claim event for an item located in or on the insured property and relevant sections of the insurance policy to determine if the insurance policy supports an insurance claim regarding the determined insurance claim event for an item located in or on the insured property.

For exemplary purposes only, in one embodiment, detection sensors may detect indicia (e.g., a sticker, label, barcode, glyph, or the like) on an item, such as an appliance, that is consistent with warranty coverage for the item. The label may identify a coverage for the item (e.g., language such as “three-year warranty”) and/or the label may identify a repairing party and when the repairs were performed (e.g., a repair history for the item) (in which case, the parts that were worked on may be covered by a warranty provided by the repairing party). It is to be appreciated an insurance company may generate and provide the aforesaid indicia for a specific item. The indicia is preferably applied/associated with the intended object by the insured, an agent of the insured or an insurance company representative, such that the insurance company can readily electronically identify the object via analysis of informatics relating to the indicia.

In one embodiment, informatics is gathered about one or more items in a house, such as an appliance. The type of the appliance may be identified by data engine 120, and manuals relating to the appliance may be identified and electronically sent, such as to the owner of the appliance. Particular reference to a portion of the manual may be specifically identified and/or provided regarding an action to be taken.

In another embodiment, informatics is gathered about an appliance and that informatics is analyzed to determine a working condition of the appliance. For exemplary purposes only, the informatics may relate to a sound that the appliance is making (e.g., a clicking sound may indicate that the appliance is broken), the informatics may relate to a length of time that certain actions require as compared to a previous length of time that the same or a similar action required (e.g., previously it was five minutes for the temperature of ambient air in a freezer to stabilize after it was opened to remove an object, but now it is six minutes), infrared readings of the object (e.g., detecting a greater heat leakage in the seals of a refrigerator, detecting an increased high temperature for a dryer, detecting an increased amount of time for an object, such as a washing machine, to cool down). Based on the gathered and analyzed informatics, a repair service appointment maybe scheduled. It is also contemplated that once repair service is necessary an insurance company such as USAA can assist the owner of the appliance in scheduling the appointment using a contractor network or other network known to by the insurance company.

In another embodiment, based on the gathered and analyzed informatics, a message may be sent that recommends and identifies a setting change for an appliance (e.g., reduce HVAC burden, increase operating temperature of refrigerator because of sub-optimally performing cooling mechanism). It is also contemplated that advice and guidance can be provided to the insured by the insurance company based upon the gathered analyzed informatics about the appliance. This advice and guidance can be used to help extend the life of the appliance or help with scheduled maintenance.

In another embodiment, the informatics gathered using data engine 120 and this data can be compared to how the appliance is intended to perform as prescribed by the manufacturer. This information can be gathered from the manufacturer, from the manuals about the appliance, or other sources. When the appliance does not perform as intended by the manufacturer the insurance company or the appliance owner can be alerted. For example, the washing machine is intended to use X amount of water per minute, but the sensor in the appliance determines that a higher than acceptable amount of water is being consumed. This could indicate that the appliance is in need of repair and is in danger of breaking and causing water damage to the surrounding area.

In still another embodiment, a work project is identified based on gathered informatics. For exemplary purposes only, the work project may be painting a wall, creating an addition, replacing an appliance, finishing drywall, waterproofing a basement, and replacing and/or upgrading a roof. Subsequent to data engine 120 determining and identifying the work project, that determination may be utilized to inform and/or cause future decisions/recommendations.

In yet another embodiment, sensors can determine if recoverable depreciation in a claim for a covered loss can be provided to the insured. An example of how this could occur is a sensor 90 can send notification to the data engine 120 that the insured has replaced, repaired or maintained an item in question with like kind and quality or item(s) of similar quality and usefulness. When this happens, the insurance company is notified and can provide the insured recoverable depreciation. Management module 105 may further include command generation engine 130. Command generation engine 130 may send commands to sensors 90. Such commands may be sent through intermediary computing device 300, or such commands may be sent directly to sensors 90. Such commands may include, for exemplary purposes only and without limitation, an instruction to take an immediate reading, an instruction to take a series of readings (e.g., every five minutes for one hour, every minute for one week), an instruction to take more frequent readings (e.g., every hour rather than every six hours), an instruction to take less frequent readings (e.g, every day rather than every hour), and/or any permutations or derivations thereof as will be known by those skilled in the art.

Management module 105 may further include policy engine 140. Policy engine 140 may analyze the data such as described above with respect to data engine 120. It is contemplated herein that data engine 120 and policy engine 140 may work in cooperation/tandem, independently of each other, without interaction with the other, or any other permutations or derivations thereof as will be known by those skilled in the art.

FIG. 3 shows, in the form of a flow chart (process 1000), exemplary operational steps of utilizing system 100. Before turning to descriptions of FIG. 3, it is noted that the flow diagram shown therein are described, by way of example, with reference to components shown in FIGS. 1-2, although these operational steps may be carried out in any system and are not limited to the scenario shown in the aforementioned figures. Additionally, the flow diagrams in FIG. 3 shows an example in which operational steps are carried out in a particular order, as indicated by the lines connecting the blocks, but the various steps shown in these diagrams can be performed in any order, or in any combination or sub-combination.

With reference to FIG. 3, starting at step 1001, detection devices, such as sensors 90, are installed at a property, such as a structure, covered by the insurance policy. In one embodiment, sensors 90 may have been previously installed for other reasons (e.g., security cameras) and later re-configured to integrate with system 100. In another embodiment, sensors 90 are installed for at least the reason of integrating with and working with system 100. In still another embodiment, sensors 90 include a combination of pre-installed sensors 90 and newly-installed sensors 90.

Subsequently, information is gathered (step 1002) and received from sensors 90 (step 1003). As discussed above, information may be sent from sensors 90 to computing device 300, and subsequently to management module 105. In another embodiment, computing device 300 is not installed onsite and sensors 90 communicate directly to management module 105. In yet another embodiment, computing device 300 is installed onsite, and sensors 90 communicate directly to management module 105, through computing device, and/or a combination thereof.

Information is analyzed by management module (step 1004), such as by data engine 120 and/or policy engine 140. In one embodiment, data engine 120 considers the data and identifies appliances and their correlated documentation, such as repair instructions, recommends and/or schedules repair services, and/or provides recommendations based on a valuation of an appliance's working condition.

In one embodiment, command generation engine 130 may send additional commands to sensors 90 and/or computing device 300, such as via computing device 300 and/or directly to sensors 90. These commands may alter the types of measurements being performed, the frequency of measurements, the speed/frequency in which information is communicated from sensors 90, and/or any other settings. Subsequent to additional commands being sent to sensors 90, sensors 90 and/or computing device 300 execute and/or perform the additional commands and send additional information to management module 105. The additional information may be analyzed independent of the previously received information, and/or it may be analyzed and/or correlated with the previously received information.

Related information, such as, for exemplary purposes only and without limitation, maintenance advice, repair instructions, operating manuals, and/or repair services, may be sent (step 1005). Finally, a message, such as, for exemplary purposes only and without limitation, operating advice, may be sent to the operator of the item/appliance (step 1006).

In one embodiment, information received at management module 105 is immediately analyzed and then discarded. In another embodiment the information is analyzed and stored temporarily. In yet another embodiment, the information is stored for later analysis. And in still another embodiment, the information is stored via another device/module/engine.

The term “module”/“engine” is used herein to denote a functional operation that may be embodied either as a stand-alone component or as an integrated configuration of a plurality of subordinate components. Thus, “modules”/“engines” may be implemented as a single module or as a plurality of modules that operate in cooperation with one another. Moreover, although “modules”/“engines” may be described herein as being implemented as software, they could be implemented in any of hardware (e.g. electronic circuitry), firmware, software, or a combination thereof.

With certain illustrated embodiments described above, it is to be appreciated that various non-limiting embodiments described herein may be used separately, combined or selectively combined for specific applications. Further, some of the various features of the above non-limiting embodiments may be used without the corresponding use of other described features. The foregoing description should therefore be considered as merely illustrative of the principles, teachings and exemplary embodiments of this invention, and not in limitation thereof.

It is to be understood that the above-described arrangements are only illustrative of the application of the principles of the illustrated embodiments. Numerous modifications and alternative arrangements may be devised by those skilled in the art without departing from the scope of the illustrated embodiments, and the appended claims are intended to cover such modifications and arrangements.

Claims

1. A computer system for processing data, comprising: a memory configured. to store instructions;a processor disposed in communication with the memory, wherein the processor upon execution of the instructions is configured to: receive informatic data from one or more informatic sensor devices relating to one or more objects associated with an insured property;perform analysis on the received informatic data to determine an insurance claim event for at least one of the one or more objects associated with the insured property; andperform analysis on the received informatic data to determine if recoverable depreciation is applicable to a determined insurance claim.

2. A computer system as recited in claim 1, wherein the processor upon execution of the instructions is further configured to: receive an insurance policy associated with the insured property;analyze the insurance policy to identify one or more relevant sections of the insurance policy relating to the determined insurance claim event regarding the at least one object; andapply predefined business rules using the determined insurance claim event and relevant sections of the insurance policy to determine if the insurance policy supports an insurance claim regarding the determined insurance claim event.

3. A computer system as recited in claim 2, wherein the processor upon execution of the instructions is further configured to provide notification to an insured that identifies an insurance claim for the determined insurance claim event that is supported by the insurance policy wherein the notification further identifies the determined applicability of recoverable depreciation for an insurance claim.

4. The computer system as recited in claim 1, wherein the processor upon execution of the instructions is further configured to determine one or more third party vendors regarding repairs to be made regarding the determined insurance claim event.

5. The computer system as recited in claim 4, wherein the processor upon execution of the instructions is further configured to schedule repair services for the at least one object from one or more of the determined third party vendors.

6. The computer system as recited in claim 1, wherein the processor upon execution of the instructions is further configured to identify product documentation relating to the at least one object.

7. The computer system as recited in claim 6, wherein the product documentation includes a service manual related to the at least one object.

8. The computer system as recited in claim 1, wherein at least one camera sensor device detects indicia associated with the at least one object located in the insured property wherein analysis of the indicia determines insurance coverage for the at least one object.

9. The computer system as recited in claim 8, wherein the indicia is provided by an insurance company providing insurance coverage for the at least one object.

10. A computer system as recited in claim 1, wherein analysis for determining recoverable depreciation for the at least one object includes: determining if an insured has replaced an object regarding an insurance claim; anddetermining the value or replacement cost of the replaced item.

11. A computer system as recited in claim 1, wherein determining recoverable depreciation includes: determining if an insured has repaired an object regarding an insurance claim; anddetermining the value of the repaired object or cost to repair or restore the repaired item to its pre-loss condition.

12. A computer system for processing data, comprising: a memory configured to store instructions;a processor disposed in communication with the memory, wherein the processor upon execution of the instructions is configured to: receive informatic data from one or more informatic sensor devices relating to one or more objects associated with an insured property;perform analysis on the received informatic data to determine an insurance claim event for at least one of the one or more objects associated with the insured property;receive an insurance policy associated with the insured property;analyze the insurance policy to identify one or more relevant sections of the insurance policy relating to the determined insurance claim event regarding the at least one object;apply predefined business rules using the determined insurance claim event and relevant sections of the insurance policy to determine if the insurance policy supports an insurance claim regarding the determined insurance claim event; andperform analysis on the received informatic data to determine if recoverable depreciation is applicable to a determined insurance claim.

13. The computer system as recited in claim 12, wherein the processor upon execution of the instructions is further configured to determine one or more third party vendors regarding repairs to be made regarding the determined insurance claim event.

14. The computer system as recited in claim 13, wherein the processor upon execution of the instructions is further configured to schedule repair services for the at least one object from one or more of the determined third party vendors.

15. The computer system as recited in claim 11, wherein the processor upon execution of the instructions is further configured to identify product documentation relating to the at least one object.

16. The computer system as recited in claim 15, wherein the product documentation includes a service manual related to the at least one object.

17. A computer system as recited in claim 12, wherein analysis for determining recoverable depreciation for the at least one object includes: determining if an insured has replaced an object regarding an insurance claim; anddetermining the value or replacement cost of the replaced item.

18. A computer system as recited in claim 12, wherein determining recoverable depreciation includes: determining if an insured has repaired an object regarding an insurance claim; anddetermining the value of the repaired object or the cost to repair or restore the repaired item to its pre-loss condition.

19. A computer implemented method for processing insurance data comprising: receive, by processor, informatic data from one or more informatic sensor devices relating to one or more objects associated with an insured property;perform, by processor, analysis on the received informatic data to determine an insurance claim event for at least one of the one or more objects associated with the insured property;receive, by processor, an insurance policy associated with the insured property;analyze, by processor, the insurance policy to identify one or more relevant sections of the insurance policy relating to the determined insurance claim event regarding the at least one object;apply, by processor, predefined business rules using the determined insurance claim event and relevant sections of the insurance policy to determine if the insurance policy supports an insurance claim regarding the determined insurance claim event; andperform analysis on the received informatic data to determine if recoverable depreciation is applicable to a determined insurance claim.

20. The computer implemented method as recited in claim 19, wherein the object is an appliance.