Particulate Collection and Analysis

BACKGROUND

The present embodiments relate to environmental technology directed at particulate collection and analysis. More specifically, the embodiments relate to a control system and dynamic modification of one or more components associated with the particulate collection and analysis.

Particulate matter, also known as particle pollution, is a term that defines an airborne mixture of solid particles and liquid droplets. Some particles, such as dust, dirt, soot, or smoke, are large or dark enough to be seen with the naked eye. Others are small and can only be detected using a tool, such as an electron microscope. It is understood that particles that comprise particulate matters come in different shapes and sizes, and can be made up of different chemicals. Some particles are emitted directly from a source, and some particles form in the atmosphere as a result of complex reactions of chemicals. It is further understood that when inhaled, particulate matter can cause serious health problems.

Data produced from monitoring air quality may be employed to mitigate such adverse health effects. For example, pollen may be detected and associated levels measured to mitigate or prevent allergic reactions. Tools for atmospheric sampling are known and utilized for measurement data of particulate matter. Such tools include, but are not limited to, continuous volumetric spore traps, and non-volumetric or non-continuous spore traps. However, these known tools have limitations, such as relying on a manual process with a person counting and identifying captured particulate matter, e.g. material. The manual process is labor intensive and slow. There is a need to automate the process so that quality control measures can be developed and deployed.

SUMMARY

An apparatus, computer system, and method are provided to deploy an airborne particle monitoring device.

In one aspect, the apparatus is provided with a fluid channel configured to receive a fluid flow. A capture medium is provided in communication with the fluid channel, with the capture medium being configured to acquire a particulate. A device is positioned relative to the capture medium to analyze the acquired particulate, and an operatively coupled recorder is provided to create a recordation of the particulate. In addition, a modifiable component is provided in communication with the capture medium. An operatively coupled control system dynamically adjusts the modifiable component responsive to the acquired and analyzed particulate.

In another aspect, the system includes a processing unit operatively coupled to memory, and a system and system components in communication with the processing unit. A control system is also provided operatively coupled to the system and system components. The system is configured to collect particulate matter. The system comprises a fluid channel configured to receive a fluid flow. A capture medium is provided in communication with the fluid channel, with the capture medium being configured to acquire a particulate. A device is positioned relative to the capture medium to analyze the acquired particulate, and an operatively coupled recorder is provided to create a recordation of the particulate. In addition, a modifiable component is provided in communication with the capture medium. An operatively coupled control system dynamically adjusts the modifiable component responsive to the acquired and analyzed particulate.

In yet another aspect, the method collects and analyzes particulate matter, and dynamically adjusts a physically component responsive to the analysis, thereby physically modifying an associated particulate collection apparatus and/or system. Fluid flow is received across a fluid channel. A capture medium is positioned in communication with the fluid channel, with the capture medium configured to acquire particulate matter. The acquired particulate is subject to being analyzed, and a corresponding recordation of the analyzed particulate is created. In response to the acquired and analyzed particulate, a modifiable component in communication with the capture medium is physically and dynamically adjusted.

These and other features and advantages will become apparent from the following detailed description of the presently preferred embodiment(s), taken in conjunction with the accompanying drawings.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

The drawings referenced herein form a part of the specification. Features shown in the drawings are meant as illustrative of only some embodiments, and not of all embodiments unless otherwise explicitly indicated.

FIG. 1 depicts a schematic diagram to illustrate an apparatus and associated configuration and tools to support the capture, measure, and identification of airborne material.

FIG. 2 depicts a flow chart illustrating functionality of the system and apparatus shown and described in FIG. 1.

FIG. 3 depicts a flow chart illustrating functionality of material delivery to the fluid channel.

FIG. 4 depicts a flow chart illustrating a process for dynamically modifying a position of the material with respect to the fluid channel.

FIG. 5 depicts a flow chart illustrating a process for processing acquired image(s).

FIG. 6 is a block diagram illustrating an example of a computer system/server of a cloud based support system, to implement the process described above with respect to FIGS. 1-5.

FIG. 7 depicts a block diagram illustrating a cloud computer environment.

FIG. 8 depicts a block diagram illustrating a set of functional abstraction model layers provided by the cloud computing environment.

DETAILED DESCRIPTION

It will be readily understood that the components of the present embodiments, as generally described and illustrated in the Figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the apparatus, system, and method of the present embodiments, as presented in the Figures, is not intended to limit the scope of the embodiments, as claimed, but is merely representative of selected embodiments.

Reference throughout this specification to “a select embodiment,” “one embodiment,” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present embodiments. Thus, appearances of the phrases “a select embodiment,” “in one embodiment,” or “in an embodiment” in various places throughout this specification are not necessarily referring to the same embodiment.

The illustrated embodiments will be best understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and processes that are consistent with the embodiments as claimed herein.

An aspirated enclosure is provided to direct fluid and associated fluid flow at a capture medium. A control system is operatively coupled to the aspirated enclosure to facilitate and enable capturing, measuring, and identifying airborne material. The control system regulates fluid flow at a controlled medium to capture particles, with measurement and identification being handled by a combination of one or more light reflectance sensors and computer image processing. In one embodiment, the capture medium is moveable and the aspiration rate is variable. Results associated with the measurement and identification data are logged locally and/or remotely across a network connection.

Referring to FIG. 1, a schematic diagram (100) is provided to illustrate an apparatus and associated configuration and tools to support the capture, measure, and identification of airborne material. As shown, the apparatus is provided with a physical form shown herein as a body (110), e.g. enclosure. An inlet (122) and an outlet (132) are provided to accommodate fluid flow. As shown, the inlet (122) and outlet (132) are positioned on opposite walls of the body. More specifically, the inlet (122) is positioned on a first wall (120), and the outlet (132) is positioned on a second wall (130). Arrows are provided to illustrate fluid flow. As shown, fluid enters the body (110) through the inlet at (122), and exits the body (110) through the outlet (132). In one embodiment, the fluid follows a path (112) through the body (110), although the path (112) is not fixed within a physical conduit within the body (110). The path (112) is referred to herein as a fluid channel. In one embodiment, fluid channel (112) is a physical conduit with conduit walls. Similarly, in one embodiment, the confines of the fluid channel (112) are set by the confines of interior walls of the body (110). Accordingly, the inlet and outlet, (122) and (132), respectively, are positioned relative to the body to facilitate and enable fluid flow through the enclosure across the fluid channel (112).

A material (140) in the form of a capture medium is positioned within the enclosure (110) and in communication with the fluid channel (112). The purpose and function of the material (140) is to acquire and collect particulate matter present in the fluid channel (112). In one embodiment, the material (140) has an external layer (142) comprised of an adhesive material or a material with adhesive properties. These adhesive characteristics enable the material (140) to capture and acquire particulate matter flowing across the fluid channel (112). Particulate matter may come in different forms, including but not limited to, pollen, dust, insets, asbestos fiber, etc., or various other elements present in the form of airborne material. The material (140) is positioned proximal to a set of feeders (144) and (146), with the material (140) forming a capture platform. The feeders (144) and (146) are each configured to rotate, as shown by the represented arrows, (144a) and (146a), respectively. In the example shown herein, each feeder is shown to rotate in a clockwise direction, although the direction of the rotation should not be considered limiting. As the feeders (144) and (146) rotate, the material (140) is presented to the fluid channel (112). In one embodiment, the presentation of the material (140) allows new material to be presented to the fluid channel (112) to capture particulate matter not previously captured. Accordingly, material (140) is configured to be fed into and presented to the fluid channel (112).

As shown herein, the enclosure (110), and more specifically the associated body, is comprised of side walls (120) and (130), and proximally positioned walls (160) and (170). In the example shown herein, walls (160) and (170) are positioned perpendicular to walls (120) and (130). For ease of description, walls (160) and (170) are referred to herein as bottom and top walls, respectively, although this description should not be considered limiting. The material (140) and the associated material presentation mechanisms (144) and (146) are shown positioned relative to the wall (160). More specifically, feeder (144) is shown positioned adjacent to the wall (160), while feeder (146) is shown positioned relative to wall (130) and spaced apart from wall (160). The positioning of the feeders (144) and (146) is merely an example and should not be considered limiting. In one embodiment, the position of one or both of the feeders (144) and (146) may be modified. For example, in one embodiment, both feeders (144) and (146) may be positioned adjacent to and in communication with the wall (160) to form a horizontal or relatively horizontal positioning of the material (140). Similarly, and as shown herein, the position of the feeder (146) creates an angular position, a (148), of the material (140) relative to the wall (160). The position of one or both of the feeders (144) and (146) may be individually or independently modified. In one embodiment, the modification may be manual or automated. The position of the feeders (144) and (146) dictates the angular position of the material (140), together with the position of the material relative to the fluid channel (112). Accordingly, the position of the material (140) is modifiable with respect to the fluid channel (112) and the associated fluid flow.

An image capture device (172) is positioned in the enclosure (110) relative to the material (140). In one embodiment, the image capture device may be a camera. The image capture device (172) is configured to capture images of the material (140) and to measure reflected light. The image capture device (172) is connected to a control system (174), also referred to herein interchangeably as a micro-controller. In one embodiment, the control system (174) is located remote or separate from the enclosure (110) and associated image capture device (172), and is operatively coupled to the enclosure (110) and associated tools via a network connection (176). The image capture device (172) may be referred to as a particle monitoring device, detector or machine. It is understood that the image capture device (172) employs one or more techniques to capture and analyze particulate matter. In one embodiment, the image capture device (172) captures one or more images, such as, but not limited to, pictures, photographs, or snapshots, of the material (140) to acquire data related to any captured particulate matter. The image capture device (172) may have embedded functionality to analyze and examine captured particulate matter, or in one embodiment, the image capture device (172) may be operatively coupled to a tool, such as the control system (174) positioned locally or remotely, configured to identify different types of particulate based on their morphology, e.g., color, shape, texture, size, openings, or combinations thereof. It is understood that different particles may have different light absorbing characteristics, with some particles absorbing specific wavelengths and others reflecting different wavelengths. In one embodiment, a computer image algorithm (178) is operatively coupled to the image capture device (172) and the associated control system, with the algorithm (178) to gather particulate data, such as, but not limited to, particulate count and species identification. In one embodiment, the computer image algorithm may be, but is not limited to, a computer vision algorithm. Accordingly, as particulate matter is acquired by and saturates the material (140), the image capture device (172) measures characteristics of the saturated material (140).

The image capture device (172) is operatively connected to the control system, shown locally as the micro-controller (174), and the network connection (176). The micro-controller (174) measures data acquired from the image capture device (172). In one embodiment, the micro-controller (174) measures reflected light from photographs. Similarly, in one embodiment, the micro-controller (174) sets or modifies an interval for the image capture device (172) to acquire images, e.g. take photographs, of the saturated material (140). As shown, printer (162) is positioned proximal to the material (140) and the inlet (122). The printer (162) is configured to physically apply indicia (166) to the material (140) thereby creating a physical recordation of the particulate. For example, in one embodiment, the indicia include data with respect to date and time. The indicia are fixed to the material (140). If the material (140) is separated from the image capture device or any other tool, a physical record of recordation characteristics is embedded or attached to the material (140). One of the goals and functions of the enclosure (110) and associated tools is to capture data directed at particulate matter, and to preserve a record of the associated data. Accordingly, particulate data may be physically maintained on one or more tangible mediums, including the physical material (140) and an image on a computer readable medium created by the image capture device (172).

As shown, a fluid flow apparatus (164), also referred to herein as a fan, is shown positioned within the enclosure (110). The fluid flow apparatus (164) functions to control or modify a fluid flow rate across the fluid channel (112). In one embodiment, the fluid flow rate may be static, or in another embodiment, the fluid flow rate may be dynamic. For example, in one embodiment, a setting of the apparatus (164) may be modified, such as an adjustment of an associated fan speed, which effectively adjusts a rate of fluid flow across the fluid channel (112). The apparatus (164) is operatively coupled to the control system (174). In one embodiment, the control system (174) sets or changes the fan speed, or in one embodiment the fan orientation, of the apparatus (164), thereby controlling the fluid flow rate across the channel (112). In one embodiment, any such setting or changes to the settings of the apparatus (164) are responsive to data acquired by the image capture device (172), and in one embodiment, analyzed by the micro-controller (174). Accordingly, modification of the fluid flow apparatus (164) is dynamic and responsive to saturation of the material (140) and associated particulate saturation data.

In addition to control of the fan (164) and associated fan speed, the control system (174) is operatively coupled to the feeders (144) and (146) and the material (140). As data directed at acquired particulate material is gathered and analyzed, the position of the material (140) may be dynamically changed. For example, the material (140) may be saturated, or in one embodiment over-saturated, and the feeders (144) and (146) may be actuated to deliver fresh material (140), e.g. non-saturated material, to the fluid channel (112). In one embodiment, the feeders (144) and (146) may rotate at a set rate of rotation, with the saturation or non-saturation dictating any changes to the rate of rotation that may need to be modified by the control system (174). In addition to the rotation rate of the feeders (144) and (146), the angular position of the first feeder (144) with respect to the second feeder (146) may be modified, thereby changing the angular position of the material (140) with respect to the fluid channel (112). For example, in one embodiment, the control system (174) may raise or lower the vertical position of the feeders (144) and (146), either independently or in conjunction. Accordingly, the feeders (144) and (146), their position(s), and their rate(s) of rotation may be dynamically adjusted by the control system, thereby changing the position of the material (140).

The enclosure (110) together with the tools and operatively coupled components provide a system and apparatus to collect particulate matter and to support analysis thereof. In one embodiment, the enclosure (110) is referred to as an aspirated enclosure. The collection is automated via the image capture device (172), micro-controller (174), network connection (176), as well as the dynamically adjustable fan (164) and the feeders (144) and (146). The data from the particulate matter attached to the material (140) is acquired by the image capture device (172) and analyzed via an algorithm, including but not limited to a computer image or computer vision algorithm. This analysis is conveyed to the micro-controller (174) which dynamically adjusts one or more of the adjustable components that comprise the system. In addition, the material (140) creates a physical record for scientific analysis and compliance auditing. Indicia (166) are physically and permanently affixed to the material (140) to support maintenance of the physical record. The control and delivery of the material (140) may be directed at the rate in which the material is presented to the fluid communication channel and/or the position of the presentation. For example, in one embodiment, the delivery rate of the material (140) may be subject to material inventory. Accordingly, the dynamically adjustable elements of the enclosure support and enable dynamic control of fluid flow and material (140).

Referring to FIG. 2, a flow chart (200) is provided illustrating functionality of the system and apparatus shown and described in FIG. 1. Fluid flow enters the fluid channel via a fluid inlet (202). In one embodiment, the fluid flow may be natural or in one embodiment facilitate by a fluid flow device, e.g. fan. As shown and described in FIG. 1, the fluid channel may be positioned within an enclosure, or in one embodiment, external to an enclosure. A capture medium is positioned relative to the fluid channel and proximal to an associated fluid flow (204). In one embodiment, fluid flows across a fluid channel, and the material is positioned relative to the channel. The material is configured with an adhesive material, such as an epoxy or an epoxy resin. As the fluid encounters the material, particulate matter present in the fluid attaches and/or adheres to the material (206). It is understood that the material may become saturated with particulate, and as such an inventory control mechanism is provided to manage delivery of the material to the fluid channel. Details of the material delivery to the fluid channel are shown and described in FIG. 3. An image capture device is operatively coupled to or proximally positioned to the material and creates one or more images of the material and any captured particulate (208). In one embodiment, the image capture device is activated in response to the material acquiring particulate. Similarly, in one embodiment, the image capture device creates images at frequent intervals, with the frequency subject to dynamic modification. Following step (208), the acquired images are presented to a computer image algorithm operatively coupled to the image capture device, so that the acquired images may be analyzed (210). Accordingly, the material is subject to saturation in the fluid channel and a record of the saturation is maintained in the material and memorialized via the image capture device.

Referring to FIG. 3, a flow chart (300) is provided illustrating functionality of material delivery to the fluid channel. As shown and described in FIGS. 1 and 2, the material is utilized to physically gather particulate to be analyzed. The material is delivered to the fluid channel (302). In one embodiment, the material is delivered at a rate, which may be dynamically modified. As the material is being delivered to the fluid channel, indicia are applied to a surface of the material (304). The indicia function to create a physical recordation of the particulate. In one embodiment, the indicia include the date and time in which the material is present in the fluid channel. As shown in FIGS. 1 and 2, an image capture device is operatively coupled to the material, and functions to create one or more images of the material with the affixed indicia (306). In one embodiment, the images are acquired at a set or dynamically modifiable frequency. Similarly, in one embodiment, a computer image algorithm is operatively coupled to the image capture device, and data attained from the algorithm may be fed into the image capture device to dynamically modify the image acquisition functionality. In addition to the image capture device adjustment functionality, the image capture device and the associated data may be employed to dynamically adjust the rate at which the material is delivered to the fluid channel. As one or more images of the material are processed (308), it is determined if the delivery rate of the material inventory needs to be modified or should remain static (310). If it is determined that the delivery rate should remain static, the process returns to step (302). Conversely, if it is determined that the delivery rate is subject to modification, the terms of the modification are conveyed to a material control mechanism to adjust the material delivery rate (312). In one embodiment, the adjustment changes the speed of rotation of one or more of the rollers (144) and (146). It is understood that there may be a finite quantity of material in an associated inventory and that the material delivery and the delivery rate may be subject to the remaining inventory. Accordingly, the delivery of the material to the fluid channel is dynamically modifiable.

In addition to controlling the rate of material delivery to the fluid channel, the position of the material is also subject to change and/or adjustment. Referring to FIG. 4, a flow chart (400) is provided to illustrate a process for dynamically modifying a position of the material with respect to the fluid channel. It is understood that in one embodiment the fluid channel is amorphous, e.g. not present in a fixed conduit. At the same time, it is critical that the material be presented to the fluid channel and provided an opportunity to acquire particulate matter. As images of the material are acquired (402) and analyzed (404), a saturation assessment is conducted (406). More specifically, it is determined if the gathered material is sufficient, e.g. a sufficient amount of particulate matter, for analysis (408). It is understood that the fluid channel may be subject to change, and such change may require a position change of the material so that it can meet a minimum saturation requirement. A positive response to the determination at step (408) is followed by a return to step (402) for continued image gathering of saturated material. However, a negative response to the determination at step (408) is followed by further analysis as to positioning the material (410). For example, in one embodiment, a saturation area of the material may be indicative of the fluid channel. Similarly, in one embodiment, a fan operatively positioned relative to the material may dictate the location of the fluid channel. Following the analysis at step (410), a position of one or both of the rollers is modified so that the material is present in the fluid channel (412). In one embodiment, a vertical position of one or both of the rollers may be modified to change the vertical and/or angular position of the material with respect to the fluid channel. Accordingly, as demonstrated the position of the material with respect to the fluid channel is dynamically modifiable.

As shown in FIG. 2, the image capture device acquires an image of the material. Referring to FIG. 5, a flow chart (500) is provided illustrating processing the acquired image(s). As shown, in response to the image capture device acquiring one or more images (502) and an associated computer image algorithm is invoked (504). The algorithm essentially processes the images (504). In one embodiment, the algorithm measures reflected light. In another embodiment, the algorithm conducts a particulate count, e.g. particulate per square inch, or species identification. These are merely examples of some of the aspects of the computer image algorithm, and should not be considered limiting. As shown in FIG. 1, the image capture device is operatively coupled to a controller, e.g. micro-controller, also referred to herein as a control system. The controller is shown local to the image capture device, e.g. adjacently positioned. Although in one embodiment, the controller may be operatively coupled to the image capture device across a network connection. Based upon output of the computer algorithm, e.g. computer vision or computer image algorithm, it is determined if any dynamically configurable or adjustable components of the system need to be modified (506). Examples of such components include, but are not limited to, the fan, the roller(s), the image capture device, or the material feed mechanism. In one embodiment, each adjustable component is an addressable component and has an associated and unique address, so that any modifications to the component may be separately addressed. A positive response to the determination at step (506) is followed by identifying the component, and in one embodiment, the component address (508), and sending associated adjustment or modification instructions to the identified component (510). Following step (510) or a negative response to the determination at step (506), the process returned to step (502) for continued assessment. Accordingly, analysis of the material takes place at one or more periodic intervals with selective and dynamic adjustment to one or more system components, all while the system continues to gather and process new particulate data.

The system shown in FIG. 1, and the processes that support the system functionality, as shown and described in FIGS. 2-5, are directed at an aspirate enclosure directing fluid, e.g. air, to a capture medium, e.g. sticky paper. The capture medium is held relative to motorized rollers, thereby allowing the exposed fluid medium to be captured and preserved on a tangible medium via saturation with particulate matter. The image capture device captures images of the saturated medium, and an associated computer image algorithm conducts measurements of material images. Output from the measurements, e.g. readings, can be logged locally, or in one embodiment transmitted via a network connection for review and storage at a remote location. A controller, or in one embodiment, a control system, is operatively coupled to the algorithm and the dynamically modifiable system components. One or more of the components are dynamically adjusted. For example, the rollers can be set to move the medium to a new segment at a set interval, responsive to a saturation level, responsive to material supply inventory, etc. Similarly, the air flow mechanism may need to adjust the airflow rate across the material depending on sampling needs or environmental conditions. Accordingly, the system and associated processes provide a platform for dynamic particulate collection and analysis.

As shown in FIGS. 1-5, particulate collection and analysis takes place locally and/or remotely. The system components, also referred to herein as tools, are dynamically adjustable, and in one embodiment separately addressable thereby supporting independent and dynamic adjustment. Although in some embodiments a single component modification is demonstrated, it is understood that multiple modifications on one or more components responsive to the image analysis of the saturated material may be applied. Accordingly, the system and supporting methods provide dynamically responsive particulate collection and analysis.

Aspects of dynamic environment shown and described in FIGS. 1-5 employ one or more functional tools to support particulate collection. Aspects of functional tool(s) of the system may be operatively coupled to a computer system/server in a single location, or in one embodiment, may be configured in a cloud based system sharing computing resources. With references to FIG. 6, a block diagram (600) is provided illustrating an example of a computer system/server (602), hereinafter referred to as a host (602) in communication with a cloud based support system, to implement the processes described above with respect to FIGS. 1-5. Host (602) 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 host (602) 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 file systems (e.g., distributed storage environments and distributed cloud computing environments) that include any of the above systems, devices, and their equivalents.

Host (602) 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. Host (602) may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.

As shown in FIG. 6, host (602) is shown in the form of a general-purpose computing device. The components of host (602) may include, but are not limited to, one or more processors or processing units (604), a system memory (606), and a bus (608) that couples various system components including system memory (606) to processor (604). Bus (608) 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 Interconnects (PCI) bus. Host (602) typically includes a variety of computer system readable media. Such media may be any available media that is accessible by host (602) and it includes both volatile and non-volatile media, removable and non-removable media.

Memory (606) can include computer system readable media in the form of volatile memory, such as random access memory (RAM) (630) and/or cache memory (632). By way of example only, storage system (634) can be provided for reading from and writing to a non-removable, non-volatile magnetic media (not shown and typically called a “hard drive”). Although not shown, 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 (608) by one or more data media interfaces.

Program/utility (640), having a set (at least one) of program modules (642), may be stored in memory (606) by way of example, and not limitation, as well as an operating system, one or more application programs, other program modules, and program data. Each of the operating systems, one or more application programs, other program modules, and program data or some combination thereof, may include an implementation of a networking environment. Program modules (642) generally carry out the functions and/or methodologies of embodiments to data modeling directed at particulate collection and analysis and output to experience continued particulate collection and physical manifestation of adjustment of one or more system component and tools to enable and support the collection. For example, the set of program modules (642) may include one or more modules configured as computer implemented tools to support the methods shown and described in FIGS. 2-5.

Host (602) may also communicate with one or more external devices (614), such as a keyboard, a pointing device, a sensory input device, a sensory output device, apparatus (240) etc.; a visual display (624); one or more devices that enable a user to interact with host (602); and/or any devices (e.g., network card, modem, etc.) that enable host (602) to communicate with one or more other computing devices. Such communication can occur via Input/Output (I/O) interface(s) (622). Still yet, host (602) 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 network adapter (620). As depicted, network adapter (620) communicates with the other components of host (602) via bus (608). In one embodiment, a plurality of nodes of a distributed file system (not shown) is in communication with the host (602) via the I/O interface (622) or via the network adapter (620). It should be understood that although not shown, other hardware and/or software components could be used in conjunction with host (602). 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.

In this document, the terms “computer program medium,” “computer usable medium,” and “computer readable medium” are used to generally refer to media such as main memory (606), including RAM (630), cache (632), and storage system (634), such as a removable storage drive and a hard disk installed in a hard disk drive.

Computer programs (also called computer control logic) are stored in memory (606). Computer programs may also be received via a communication interface, such as network adapter (620). Such computer programs, when run, enable the computer system to perform the features of the present embodiments as discussed herein. In particular, the computer programs, when run, enable the processing unit (604) to perform the features of the computer system. Accordingly, such computer programs represent controllers of the computer system.

In one embodiment, host (602) is a node (610) of a cloud computing environment. As is known in the art, cloud computing is a model of service delivery for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, network bandwidth, servers, processing, memory, storage, applications, virtual machines, and services) that can be rapidly provisioned and released with minimal management effort or interaction with a provider of the service. This cloud model may include at least five characteristics, at least three service models, and at least four deployment models. Example of such characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with the service's provider.

Broad network access: capabilities are available over a network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to demand. There is a sense of location independence in that the consumer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher layer of abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time.

Measured service: cloud systems automatically control and optimize resource use by leveraging a metering capability at some layer of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer is to use the provider's applications running on a cloud infrastructure. The applications are accessible from various client devices through a thin client interface such as a web browser (e.g., web-based email). The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages and tools supported by the provider. The consumer does not manage or control the underlying cloud infrastructure including networks, servers, operating systems, or storage, but has control over the deployed applications and possibly application hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, deployed applications, and possibly limited control of select networking components (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for an organization. It may be managed by the organization or a third party and may exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by several organizations and supports a specific community that has shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It may be managed by the organizations or a third party and may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the general public or a large industry group and is owned by an organization selling cloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or more clouds (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load balancing between clouds).

A cloud computing environment is service oriented with a focus on statelessness, low coupling, modularity, and semantic interoperability. At the heart of cloud computing is an infrastructure comprising a network of interconnected nodes.

Referring now to FIG. 7, an illustrative cloud computing network (900) is presented. As shown, cloud computing network (700) includes a cloud computing environment (950) having one or more cloud computing nodes (710) with which local computing devices used by cloud consumers may communicate. Examples of these local computing devices include, but are not limited to, personal digital assistant (PDA) or cellular telephone (754A), desktop computer (754B), laptop computer (754C), and/or automobile computer system (754N). Individual nodes within nodes (710) may further communicate with one another. They may be grouped (not shown) physically or virtually, in one or more networks, such as Private, Community, Public, or Hybrid clouds as described hereinabove, or a combination thereof. This allows cloud computing environment (700) to offer infrastructure, platforms and/or software as services for which a cloud consumer does not need to maintain resources on a local computing device. It is understood that the types of computing devices (754A-N) shown in FIG. 7 are intended to be illustrative only and that the cloud computing environment (750) can communicate with any type of computerized device over any type of network and/or network addressable connection (e.g., using a web browser).

Referring now to FIG. 8, a set of functional abstraction layers (800) provided by the cloud computing network of FIG. 7 is shown. It should be understood in advance that the components, layers, and functions shown in FIG. 8 are intended to be illustrative only, and the embodiments are not limited thereto. As depicted, the following layers and corresponding functions are provided: hardware and software layer (810), virtualization layer (820), management layer (830), and workload layer (840). The hardware and software layer (810) includes hardware and software components. Examples of hardware components include mainframes, in one example IBM® zSeries® systems; RISC (Reduced Instruction Set Computer) architecture based servers, in one example IBM pSeries® systems; IBM xSeries® systems; IBM BladeCenter® systems; storage devices; networks and networking components. Examples of software components include network application server software, in one example IBM WebSphere® application server software; and database software, in one example IBM DB2® database software. (IBM, zSeries, pSeries, xSeries, BladeCenter, WebSphere, and DB2 are trademarks of International Business Machines Corporation registered in many jurisdictions worldwide).

Virtualization layer (820) provides an abstraction layer from which the following examples of virtual entities may be provided: virtual servers; virtual storage; virtual networks, including virtual private networks; virtual applications and operating systems; and virtual clients.

In one example, management layer (830) may provide the following functions: resource provisioning, metering and pricing, user portal, service layer management, and SLA planning and fulfillment. Resource provisioning provides dynamic procurement of computing resources and other resources that are utilized to perform tasks within the cloud computing environment. Metering and pricing provides cost tracking as resources are utilized within the cloud computing environment, and billing or invoicing for consumption of these resources. In one example, these resources may comprise application software licenses. Security provides identity verification for cloud consumers and tasks, as well as protection for data and other resources. User portal provides access to the cloud computing environment for consumers and system administrators. Service layer management provides cloud computing resource allocation and management such that required service layers are met. Service Layer Agreement (SLA) planning and fulfillment provides pre-arrangement for, and procurement of, cloud computing resources for which a future requirement is anticipated in accordance with an SLA.

Workloads layer (840) provides examples of functionality for which the cloud computing environment may be utilized. Examples of workloads and functions which may be provided from this layer include, but are not limited to: mapping and navigation; software development and lifecycle management; virtual classroom education delivery; data analytics processing; transaction processing; and dynamic particulate collection and analysis.

It will be appreciated that there is disclosed herein a system, method, apparatus, and computer program product for collecting and evaluating particulate in a fluid channel, modeling the evaluated data, translating the evaluated data into product modification, and ascertaining and communicating output in the form of dynamic and physical product change. As disclosed, the system, method, apparatus, and computer program product apply computer vision algorithm(s) and associated processing to the particulate analysis. Similarly, the system, method, apparatus and computer program product create a physical record for scientific analysis and/or compliance auditing.

While particular embodiments of the present embodiments have been shown and described, it will be obvious to those skilled in the art that, based upon the teachings herein, changes and modifications may be made without departing from these embodiments and their broader aspects. Therefore, the appended claims are to encompass within their scope all such changes and modifications as are within the true spirit and scope of the embodiments. Furthermore, it is to be understood that the embodiments are solely defined by the appended claims. It will be understood by those with skill in the art that if a specific number of an introduced claim element is intended, such intent will be explicitly recited in the claim, and in the absence of such recitation no such limitation is present. For non-limiting example, as an aid to understanding, the following appended claims contain usage of the introductory phrases “at least one” and “one or more” to introduce claim elements. However, the use of such phrases should not be construed to imply that the introduction of a claim element by the indefinite articles “a” or “an” limits any particular claim containing such introduced claim element to embodiments containing only one such element, even when the same claim includes the introductory phrases “one or more” or “at least one” and indefinite articles such as “a” or “an”; the same holds true for the use in the claims of definite articles.

The present embodiments may be a system, a method, and/or a computer program product. In addition, selected aspects of the present embodiments 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/or hardware aspects that may all generally be referred to herein as a “circuit,” “module” or “system.” Furthermore, aspects of the present embodiments may take the form of computer program product embodied in a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present embodiments. Thus embodied, the disclosed system, a method, and/or a computer program product are operative to improve the functionality and operation of particulate collection and analysis.

The computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a dynamic or static random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a magnetic storage device, a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.

Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network may comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device.

Computer readable program instructions for carrying out operations of the present embodiments may be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code 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 computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server or cluster of servers. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) may execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present embodiments.

Aspects of the present embodiments are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the embodiments. 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 readable program instructions.

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

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

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts or carry out combinations of special purpose hardware and computer instructions.

It will be appreciated that, although specific embodiments have been described herein for purposes of illustration, various modifications may be made without departing from the spirit and scope of the embodiments. In particular, the components for collect and analyze particular are not limited to placement and positioning within an enclosure or an aspirated enclosure. The components and associated processing may be carried out by different computing platforms or across multiple devices. Furthermore, the analysis may be localized, remote, or spread across multiple systems. The image capture device may come in different forms, including but not limited to, a detector, a digital imaging sensor, a spectral imaging device, and any sensor or device configured to capture fluid flow and associated particulate matter. Accordingly, the scope of protection of these embodiments is limited only by the following claims and their equivalents.

	Number	Date	Country
Parent	16133776	Sep 2018	US
Child	17133947		US

Particulate Collection and Analysis

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