This disclosure relates generally to methods for mapping utility lines and associated apparatus for mounting a smartphone on a utility locator device. More specifically, this disclosure relates to image processing and utility mapping methods via a smartphone optionally mounted on a utility locator device via for a smartphone mapping apparatus as well as methods using Deep Learning/artificial intelligence to recognize patterns and make predictions related to underground utilities including utility line type classification.
Utility locator devices, sometimes referred to as Geo-Locating Receivers (GLR), are used to locate utility lines buried or otherwise hidden from sight are well known in the art. The vast majority of utility locator devices known in the art may measure electromagnetic signals at one or a limited few frequencies from current coupled to an electrically conductive utility line via a transmitter device or from AC current inherently flowing through the utility such as with a power line. Known utility locator devices may be tuned to one or a limited few frequencies emitted by a utility line which may further be located via tracing the length of the utility line along the ground surface in a procedure commonly referred to as “line tracing.” Such devices are extremely limited in the information collected regarding buried utility lines and the environment in which they exist. For instance, such utility locator devices are limited to locating only those utility lines which have knowingly had current coupled thereto thus leaving a user ignorant of presence other unknown utility lines. Further, such utility locator devices provide little to no information regarding the locate environment that may have influence on the electromagnetic data and/or may otherwise provide information that be helpfully in precisely locating or mapping all buried utility lines.
There are few utility locator devices known in the art configured to measure electromagnetic signals across a large range of frequencies. Such utility locator devices may, in addition to the vast amounts of electromagnetic signal data, collect other data relating to the locating environment to facilitate precisely locating and mapping buried utility lines. For instance, such utility locator devices known in the art may determine geolocations via GNSS receivers and other INS sensor data. Further, some such utility locator devices may “tag” or determine and record the geolocation of assets in the locate environment that may be related to the buried utility lines, influence the measured electromagnetic signals, associating utility positions to maps of the same area, and/or have other significance to locating buried utility line. Whereas having this additional information is useful in precisely locating and mapping utility lines, the vastness of such data may be challenging to process in or near real-time.
Some more advanced utility locator devices may be part of a broader system wherein processing of data and/or measuring or collecting of other information may be accomplished by other connected devices (e.g., laptops, tablets, smartphones, remote servers, signal transmitters, base stations, other locating specific devices and the like) thus alleviating the burden of the utility locator device. As utility locator device continue to evolve and the need to include other devices in a larger locating system becomes desirable or necessary, there is a need to accommodate other connected devices in ways to facilitate ease of use as well as improve upon the functionality of such connected devices when used in conjunction with a utility locator device.
Further, ensuring that utility lines are accurately located and/or mapped is imperative for the protection of humans and infrastructure. Every year incorrectly or inaccurately located and mapped utility lines results in tragedy wherein excavation may mistakenly strike utility lines (e.g., explosions from damaged gas pipes, electrocutions and fires from damaged power lines, floods from damaged water lines, and the like). As a result, there is a vast financial cost from damage to nearby buildings and other infrastructure as well as injury and even death to workers and other people in the surrounding area. Known utility locating devices and systems may utilize GPS or other GNSS to determine and map the geolocations of electromagnetic signals. As there is often error in geolocations produced via GPS or other GNSS, mapped utility lines may not be as accurate as desired. Such errors may be further increased wherein teams excavating the utility line or lines again utilize GPS or other GNSS attempt to determine the location to dig to unearth the same utility lines. Likewise, there is a wealth of data present in the locate environment that is ignored by known devices and systems that may otherwise allow for more precise mapping of utility lines which, in turn, could result in more accurate and safe excavations of utility lines. The term “assets” or “ground assets,” as used herein, may be used to refer to such data present in the locate environment that may generally be along the ground surface.
Furthermore, known utility locator devices and systems fail to provide information regarding utility lines that may be useful to a user. For instance, various characteristics of a utility line, such as a utility line type (e.g., water, sewer, power, gas, telecommunication, and the like), may be useful information to a user for purposes of locating, mapping, or excavating a particular utility line.
Accordingly, there is a need in the art to address the above-described as well as other problems.
The present disclosure relates generally to methods for mapping utility lines and associated apparatus for mounting a smartphone on a utility locator device. More specifically, this disclosure relates to image processing and utility mapping methods via a smartphone optionally mounted on a utility locator device via for a smartphone mapping apparatus as well as methods using Deep Learning/artificial intelligence to recognize patterns and make predictions related to underground utilities including utility line type classification.
In accordance with one aspect of the present invention a smartphone mounting apparatus for coupling a smartphone to a utility locator device and related methods are disclosed. The smartphone mounting apparatus having a retainer element to mount and selectively retain a smartphone such that the camera(s) of the smartphone remain unobstructed and may approximately align with the median plane of the utility locator device and an angle joint element to orient the smartphone in the retainer element at a known angle such that the camera(s) of the smartphone has a field of view capturing still and video images of an asset to be tagged at the ground surface in front of the utility locator device during normal usage. Further, the smartphone mounting apparatus having a mounting element to secure the smartphone mounting apparatus to the utility locator device.
In accordance with another aspect of the invention, an asset tagging method that employees a smartphone retained in a smartphone mounting apparatus is disclosed. The method includes a step mounting a smartphone in a smartphone mounting apparatus coupled in a known position and orientation on a utility locator device. In another step, the method includes performing a utility locating operation via the utility locator device. In another step, the method includes identifying assets to be tagged. In another step, the method includes actuating asset tagging generating asset tagging data that includes the geolocation of the asset. In another step, the method includes capturing video and/or still images of the asset on the smartphone. In another step, the method includes communicating the video and/or still images of the asset to the utility locator device. In another step, the method includes correlating the video and/or still images of the asset with asset tagging data.
In accordance with another aspect of the invention, a locate environment scanning method employing a smartphone mounting apparatus is disclosed. In one step, the method includes mounting a smartphone in a smartphone mounting apparatus secured in a known position and orientation on a utility locator device. In another step, the method includes performing a utility locating operation with the utility locator device. In another step, the method includes generating images via the camera(s) of the smartphone at a known interval. In another step, the method includes associating each image with a geolocation of the image determined via the smartphone or utility locator device. In another step, the method includes storing, via one or more non-transitory memories, images and associated geolocations.
In accordance with another aspect of the invention, the method may include analyzing images in real-time for features of interest, and capturing images based on feature recognition.
In accordance with another aspect of the invention, a utility mapping method is disclosed. The method includes moving about a locate environment measuring electromagnetic signals via a utility locator device generating electromagnetic signal data. The utility locator device and/or a smartphone which may be disposed in a smartphone mounting apparatus may generate images of the locate environment at a known position relative to the utility locator device as well as geospatial data describing the pose/orientations and geolocations of the utility locator device in a world coordinate system. The method further includes mapping electromagnetic signal data based on the geospatial data of the utility locator device. The method includes identifying objects or other assets in the images that correlate or match those in a pre-existing digital map. The method further determines an offset value describing the distance and direction between the geolocations of objects/assets in the images of the locate environment and the geolocations of the objects/assets in the pre-existing digital map. The method further applies the offset values in both distance and direction to mapped electromagnetic signal data to generate an updated utility map. The method includes storing electromagnetic signal data, geospatial data, images of the locate environment, identified object/assets, offset values, and updated utility maps in one or more non-transitory memories.
In accordance with another aspect of the invention, a computer implemented method for utility line positions and characteristics including utility line type classification using Artificial Intelligence (AI) is disclosed. The method includes collecting Locating Data describing the positions of utility lines in the ground from electromagnetic signals via a utility locator device and Asset Data describing mapping and other data determined from images of the ground surface. The method further includes assembling a Training Database that includes Locating Data and Asset Data. Using deep learning to train a Neural Network (Artificial Intelligence/AI) via the Training Database Data. The method includes using AI to generate predictions regarding the positions of utility lines and utility line characteristics. The predictions may include utility line type classification. For instance, relationships between electromagnetic signal patterns and utility line types. The method includes outputting predictions regarding the positions of utility lines and utility line characteristics.
Various additional aspects, features, and functionality are further described below in conjunction with the appended Drawings.
The present application may be more fully appreciated in connection with the following detailed description taken in conjunction with the accompanying drawings, wherein:
The present disclosure relates generally to methods for mapping utility lines and associated apparatus for mounting a smartphone on a utility locator device. More specifically, this disclosure relates to image processing and utility mapping methods via a smartphone optionally mounted on a utility locator device via for a smartphone mapping apparatus as well as methods using Deep Learning/artificial intelligence to recognize patterns and make predictions related to underground utilities including utility line type classification.
In accordance with one aspect of the present invention a smartphone mounting apparatus for coupling a smartphone to a utility locator device is disclosed. The smartphone mounting apparatus having a retainer element to mount and selectively retain a smartphone such that the camera(s) of the smartphone remain unobstructed and may align with the median plane of the utility locator device. In some embodiments the camera or cameras may be or include LiDAR or other three-dimensional imaging apparatus to generate a three-dimensional image of an asset or three-dimensional position of features of interest, e.g. a street corner, road, etc. LiDAR may also be used to measure the distance to various points within an image. In some embodiments, images may be scanned for features in real-time, and the scanned features may be used for navigation. Optionally, all navigational features and sensors, as well as computational capabilities of the phone, should be available to be combined with locator sensors to improve navigational results.
The retainer element may, in some embodiments, be adjustable to accommodate different sized and shaped smartphones. The smartphone mounting apparatus further including an angle joint element to orient the smartphone in the retainer element at a known angle such that the camera(s) of the smartphone has a field of view capturing still and video images of an asset to be tagged at the ground surface in front of the utility locator device during normal usage. In some embodiments, the angle joint element may be adjustable to adjust the angle of the field of view for capturing still and video images of an asset to be tagged at the ground surface. Further, the smartphone mounting apparatus having a mounting element to secure the smartphone mounting apparatus to the utility locator device. In some embodiments, the mounting element may couple to the mast of the utility locator device. In further embodiments, the mounting element may couple to the head of the utility locator device. In some embodiments, the mounting element may be positioned on the utility locator device such that the user interface of an attached smartphone may be accessible by the user in control of the utility locator device.
In another aspect, the smartphone mounting apparatus embodiments of the present invention may include a wired connector for connecting the smartphone and utility locator device for the purpose of exchanging data and/or providing electrical power to the smartphone. In some such embodiments, a smartphone mounting apparatus may include a wireless charging mechanism for the purpose of providing electrical power to the smartphone. In further embodiments, a smartphone mounting apparatus of the present invention may include a battery in providing electrical power to the smartphone. In some embodiments, the smartphone may be charged when installed into the mount if a charge battery is present in the locator. Phone charging may be configured to charge the phone even if the locator is turned off.
In accordance with another aspect, the utility locator devices, smartphones, other system devices, and/or remote databases (e.g., cloud servers or the like) may be in wireless communication with each other. Further, the methods disclosed herein may include communicating data and images to one or more other devices for processing. For instance, in some embodiments, images may be generated via one or more cameras in the utility locator device and be communicated to a smartphone for processing. In such embodiments, the smartphone may receive images, electromagnetic data, geospatial data, and/or other data and tag asset, identify assets present in the locate environment and determine utility line type, determine utility line types, mapping of electromagnetic signals and utility lines, and other processing/analysis. It should be noted that in such embodiments that a smartphone may or may not be held in smartphone mounting apparatus of the present disclosure.
In another aspect, the specific optical characteristics of the smartphone may be communicated to the utility locator device. In some such embodiments, the specific optical characteristics may be included in correcting the geolocation of assets and utility lines.
In accordance with another aspect of the invention, an asset tagging method that employees a smartphone retained in a smartphone mounting apparatus is disclosed. The method includes a step mounting a smartphone in a smartphone mounting apparatus coupled in a known position and orientation on a utility locator device. In another step, the method includes performing a utility locating operation via the utility locator device. In another step, the method includes identifying assets to be tagged. In some instances, the tagging process may be voice activated. In another step, the method includes actuating asset tagging generating asset tagging data that includes the geolocation of the asset. For instance, the asset may be tagged via a laser rangefinder apparatus. In such embodiments, the orientation of the smartphone mounting apparatus may capture the laser on the asset in the field of view of the smartphone when installed. In another step, the method includes capturing video and/or still images of the asset on the smartphone. In another step, the method includes communicating the video and/or still images of the asset to the utility locator device. In another step, the method includes correlating the video and/or still images of the asset with asset tagging data. The position of the laser dot in the phone camera image may correspond to a distance due to using parallax due to the offset of the phone with respect to the laser.
In another aspect, the video and/or still images of the asset and corresponding asset tagging data may be communicated to a remote database and/or other remote device. For instance, the video and/or still images of the asset and corresponding asset tagging data may be communicated to a cloud computer and/or other computing device and/or other system device(s).
In another aspect, the correlated video and/or still images of the asset and the asset tagging data may further be correlated with electromagnetic signal data and associated utility line positions. Further, the correlated video and/or still images of the asset and the asset tagging data may further be correlated with notes or other user input. The term “correlate” as used herein may refer to an association or relationship between data/information or other aspects of the utility locating and/or asset tagging operations. Likewise, the terms “correlating” and “correlated” may refer to identifying or establishing a link or relationship between information/data or other aspects of the utility locating and/or asset tagging operations. Such correlations may spatially align or otherwise have a spatial relationship. For instance, electromagnetic data may have a correlating spatial relationship with tagged assets or other images of the locating environment. In other embodiments, such correlations may refer to relationships between data or sets of data. For instance, in some embodiments, such as the method 1100 of
In accordance with another aspect of the invention, a locate environment scanning method employing a smartphone mounting apparatus is disclosed. In one step, the method includes mounting a smartphone in a smartphone mounting apparatus secured in a known position and orientation on a utility locator device. In another step, the method includes performing a utility locating operation with the utility locator device. In another step, the method includes generating images via the camera(s) of the smartphone at a known interval. For instance, the interval may be based on timing or in change of position/geolocation. In an optional step, assets may be identified from the images. In some embodiments, the images may be three-dimensional (e.g., via LiDAR or other three-dimensional imaging system). In another step, the method includes associating each image with a geolocation of the image determined via the smartphone or utility locator device. Optionally, the method may include generating a map of the locate environment from the images and associated geolocations. Such a map may include the positions/geolocations of utility lines. In some embodiments, three-dimensional images may be used to generate a topographical map of the locate environment that may include utility line positions/geolocations. In another step, the method includes storing, via one or more non-transitory memories, images and associated geolocations.
In accordance with another aspect of the invention, a utility mapping method is disclosed. The method includes moving about a locate environment measuring electromagnetic signals via a utility locator device generating electromagnetic signal data. The utility locator device and/or a smartphone which may be disposed in a smartphone mounting apparatus may generate images of the locate environment at a known position relative to the utility locator device as well as geospatial data describing the pose/orientations and geolocations of the utility locator device in a world coordinate system. It should be noted that the images may be generated via cameras disposed in the utility locator device and/or cameras disposed in a smartphone which may be in a smartphone mounting apparatus. In at least one embodiment, images may be generated via cameras in the utility locator device and further communicated to a smartphone (which may or may not be in a smartphone mounting apparatus) for processing of images and other data. Likewise, such images and data may be communicated to a remote database (e.g., cloud server or the like) and/or other system devices (e.g., transmitter device, base station, camera control unit, pipe inspection camera, camera reel, and/or the like). Optionally, the method may include orthorectifying images of the locate environment. The orthorectification of images may occur in real-time or near real-time. The method further includes mapping electromagnetic signal data based on the geospatial data of the utility locator device. The method includes identifying objects or other assets in the images that correlate or match those in a pre-existing digital map. The method further determines an offset value describing the distance and direction between the geolocations of objects/assets in the images of the locate environment and the geolocations of the objects/assets in the pre-existing digital map. The method further applies the offset values in both distance and direction to mapped electromagnetic signal data to generate an updated utility map. Optionally, the method may include classifying utility lines with a utility type (e.g., gas, water, sewer, power, telecommunications, and the like). Further, the method may optionally include associating or correlating utility line type with the electromagnetic signal patterns of the prior step. The method includes storing electromagnetic signal data, geospatial data, images of the locate environment, identified object/assets, offset values, utility classifications and associated electromagnetic signal pattern data, and updated utility maps in one or more non-transitory memories.
In accordance with another aspect of the invention, a computer implemented method for utility line positions and characteristics including utility line type classification using Artificial Intelligence (AI) is disclosed. The method includes collecting Locating Data describing the positions of utility lines in the ground from electromagnetic signals via a utility locator device and Asset Data describing mapping and other data determined from images of the ground surface. The Locating Data may, for example, include electromagnetic data measured via the utility locator device, geospatial data describing geolocations and orientations/pose, depth estimates of utility lines, maps of utility lines, user input data, and other data relating to the location/position and characteristics of utility lines. The Asset Data may, for example, include asset tagging data, images of the locate environment, utility line classification data (e.g., data relating utility line type with images of assets and data relating determined utility line type with electromagnetic data), offset data, user input data, and other data relating to assets or other objects in the locate environment. The method further includes assembling a Training Database that includes Locating Data and Asset Data. Using deep learning to train a Neural Network (Artificial Intelligence/AI) via the Training Database Data. The method includes using AI to generate predictions regarding the positions of utility lines and utility line characteristics. The predictions may include utility line type classification. For instance, relationships between electromagnetic signal patterns and utility line types. The method includes outputting predictions regarding the positions of utility lines and utility line characteristics.
Details of example methods and devices that may be used in or combined with the devices and methods described herein, are disclosed in co-assigned patents and patent applications including: U.S. Pat. No. 5,808,239, issued Aug. 17, 1999, entitled VIDEO PUSH-CABLE; U.S. Pat. No. 6,545,704, issued Jul. 7, 1999, entitled VIDEO PIPE INSPECTION DISTANCE MEASURING SYSTEM; U.S. Pat. No. 6,831,679, issued Dec. 14, 2004, entitled VIDEO CAMERA HEAD WITH THERMAL FEEDBACK LIGHTING CONTROL; U.S. Pat. No. 6,958,767, issued Oct. 25, 2005, entitled VIDEO PIPE INSPECTION SYSTEM EMPLOYING NON-ROTATING CABLE STORAGE DRUM; U.S. Pat. No. 6,862,945, issued Mar. 8, 2005, entitled CAMERA GUIDE FOR VIDEO PIPE INSPECTION SYSTEM; U.S. Pat. No. 7,009,399, issued Mar. 7, 2006, entitled OMNIDIRECTIONAL SONDE AND LINE LOCATOR; U.S. Pat. No. 7,136,765, issued Nov. 14, 2006, entitled A BURIED OBJECT LOCATING AND TRACING METHOD AND SYSTEM EMPLOYING PRINCIPAL COMPONENTS ANALYSIS FOR BLIND SIGNAL DETECTION; U.S. Pat. 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No. 11,686,878, issued Jun. 27, 2023, entitled ELECTRONIC MARKER DEVICES FOR BURIED OR HIDDEN USE; U.S. Provisional Patent Application 63/524,698, filed Jul. 2, 2023, entitled FILTERING METHODS AND ASSOCIATED UTILITY LOCATOR DEVICES FOR LOCATING AND MAPPING BURIED UTILITY LINES; U.S. Provisional Patent Application 63/514,090, filed Jul. 17, 2023, entitled SMARTPHONE MAPPING APPARATUS FOR ASSET TAGGING AS USED WITH UTILITY LOCATOR DEVICES; U.S. Pat. No. 11,709,289, issued Jul. 25, 2023, entitled SONDE DEVICES WITH A SECTIONAL FERRITE CORE; U.S. patent application Ser. No. 18/365,225, filed Aug. 3, 2023, entitled SYSTEMS AND METHODS FOR INSPECTION ANIMATION; U.S. Pat. No. 11,719,376, issued Aug. 8, 2023, entitled DOCKABLE TRIPODAL CAMERA CONTROL UNIT; U.S. Pat. No. 11,719,646, issued Aug. 8, 2023, entitled PIPE MAPPING SYSTEMS AND METHODS; U.S. Pat. No. 11,719,846, issued Aug. 8, 2023, entitled BURIED UTILITY LOCATING SYSTEMS WITH WIRELESS DATA COMMUNICATION INCLUDING DETERMINATION OF CROSS COUPLING TO ADJACENT UTILITIES; U.S. patent application Ser. No. 18/233,285, filed Aug. 11, 2023, entitled BURIED OBJECT LOCATOR; U.S. patent application Ser. No. 18/236,786, filed Aug. 22, 2023, entitled MAGNETIC UTILITY LOCATOR DEVICES AND METHODS; U.S. Pat. No. 11,747,505, issued Sep. 5, 2023, entitled MAGNETIC UTILITY LOCATOR DEVICES AND METHODS; U.S. patent application Ser. No. 18/368,510, filed Sep. 14, 2023, entitled MULTIFUNCTION BURIED UTILITY LOCATING CLIPS; U.S. patent application Ser. No. 18/365,203, filed Sep. 14, 2023, entitled SYSTEMS AND METHODS FOR ELECTRONICALLY MARKING, LOCATING AND VIRTUALLY DISPLAYING BURIED UTILITIES; U.S. Pat. No. 11,768,308, issued Sep. 26, 2023, entitled SYSTEMS AND METHODS FOR ELECTRONICALLY MARKING, LOCATING AND VIRTUALLY DISPLAYING BURIED UTILITIES; U.S. Pat. No. 11,769,956, issued Sep. 26, 2023, entitled MULTIFUNCTION BURIED UTILITY LOCATING CLIPS; U.S. Pat. No. 11,782,179, issued Oct. 10, 2023, entitled BURIED OBJECT LOCATOR WITH DODECAHEDRAL ANTENNA CONFIGURATION APPARATUS AND METHODS; U.S. Pat. No. 11,789,093, issued Oct. 17, 2023, entitled THREE-AXIS MEASUREMENT MODULES AND SENSING METHODS; U.S. Provisional patent application Ser. No. 18/490,763, filed Oct. 20, 2023, entitled LINKED CABLE-HANDLING AND CABLE-STORAGE DRUM DEVICES AND SYSTEMS FOR COORDINATED MOVEMENT OF PUSH-CABLE; U.S. Pat. No. 11,796,707, issued Oct. 24, 2023, entitled USER INTERFACES FOR UTILITY LOCATORS; U.S. patent application Ser. No. 18/544,042, filed Dec. 18, 2023, entitled SYSTEMS, APPARATUS, AND METHODS FOR DOCUMENTING UTILITY POTHOLES AND ASSOCIATED UTILITY LINES; U.S. Pat. No. 11,876,283, issued Jan. 16, 2024, entitled COMBINED SATELLITE NAVIGATION AND RADIO TRANSCEIVER ANTENNA DEVICES; U.S. Pat. No. 11,894,707, issued Feb. 6, 2024, entitled RECHARGEABLE BATTERY PACK ONBOARD CHARGE STATE INDICATION METHODS AND APPARATUS; U.S. Pat. No. 11,909,104, issued Feb. 20, 2024, entitled ANTENNAS, MULTI-ANTENNA APPARATUS, AND ANTENNA HOUSINGS; U.S. Provisional Patent Application 63/558,098, filed Feb. 26, 2024, entitled SYSTEMS, DEVICES, AND METHODS FOR DOCUMENTING GROUND ASSETS AND ASSOCIATED UTILITY LINES; U.S. Pat. No. 11,921,225, issued Mar. 5, 2024, entitled ANTENNA SYSTEMS FOR CIRCULARLY POLARIZED RADIO SIGNALS; U.S. patent application Ser. No. 18/611,449, filed Mar. 20, 2024, entitled VIDEO INSPECTION AND CAMERA HEAD TRACKING SYSTEMS AND METHODS; U.S. Pat. No. 11,953,643, issued Apr. 9, 2024, entitled MAP GENERATION BASED ON UTILITY LINE POSITION AND ORIENTATION ESTIMATES; U.S. Provisional Patent 63/643,915, filed May 7, 2024, entitled SYSTEMS AND METHODS FOR LOCATING AND MAPPING BURIED UTILITY OBJECTS USING ARTIFICIAL INTELLIGENCE WITH LOCAL OR REMOTE PROCESSING; U.S. Provisional Patent 63/659,722, filed Jun. 13, 2024, entitled VEHICLE-MOUNTING DEVICES AND METHODS FOR USE IN VEHICLE-BASED LOCATING SYSTEMS; and U.S. Provisional application Ser. No. 18/758,937, filed Jun. 28, 2024, entitled FILTERING METHODS AND ASSOCIATED UTILITY LOCATOR DEVICES FOR LOCATING AND MAPPING BURIED UTILITY LINES. The content of each of the above-described patents and applications is incorporated by reference herein in its entirety. The above applications may be collectively denoted herein as the “co-assigned applications” or “incorporated applications.”
The following exemplary embodiments are provided for the purpose of illustrating examples of various aspects, details, and functions of apparatus and systems; however, the described embodiments are not intended to be in any way limiting. It will be apparent to one of ordinary skill in the art that various aspects may be implemented in other embodiments within the spirit and scope of the present disclosure.
It is noted that as used herein, the term, “exemplary” means “serving as an example, instance, or illustration.” Any aspect, detail, function, implementation, and/or embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects and/or embodiments.
As used herein, the term “position” may refer to a location or geolocation as well as a pose or orientation in three-dimensions at that location. For instance, a geolocation determined by GNSS may further include a pose or orientation at the geolocation determined via one or more inertial sensors (e.g., accelerometers, gyroscopic sensors, magnetometers, and the like). Further, the INS may include one or more barometers.
The term “electromagnetic signals” or “signals” as used herein may refer to the radiation of electromagnetic energy, and in particular to the associated magnetic field vectors. Such electromagnetic signals may be from current coupled to a conductive utility line, current inherently flowing through a utility line (e.g., power line), the re-radiation of electromagnetic energy (e.g., broadcast radio signals or the like), and other radiation of electromagnetic energy from other sources that may be measured via a utility locator device.
The term “median plane” may refer to a hypothetical plane vertically bisecting the bilaterally symmetrical utility locator device. The median plane may run from the top to the bottom of the utility locator device separating the utility locator device into right and left halves as illustrated in
The term “align” in relation to the camera or cameras of a smartphone and the median plane of a utility locator device when retained in a smartphone mounting apparatus of the present disclosure may refer to an approximation of the positions relative to one another. For instance, the term “align” as used herein may not necessarily exactly share space in the median plane. In some embodiments, the camera or cameras of a smartphone may align with the median plane of a utility locator device where the camera(s) are offset from the median plane by a number of inches but the frame of view of the camera(s) may still capture images and/or videos of an asset.
The term “asset” may refer to any object or attribute in the locate environment which may be of interest in locating or mapping utility lines. For instance, some “assets” may be or include objects and attributes tagged as a reference in correlating utility line positions in the ground to mapping data representing the ground surface. Further, some “assets” may be or include objects and attributes tagged based on a user's identifying the object's or attribute's potential influence on the electromagnetic signals measured by the utility locator device.
The term “asset tagging data” may refer to the data generated by a rangefinder apparatus used in tagging assets or objects in a locating environment. Such “asset tagging data” includes the geolocation of the tagged asset. The asset tagging data herein may be correlated with still images and/or video of an asset generated by a smartphone retained in a smartphone mounting apparatus of the present invention. Such data may, in some embodiments, further be correlated with electromagnetic signal data and utility line positions determined via the utility locator device and/or notes or other user input.
The term “correlate” as used herein may refer to an association or relationship between data/information or other aspects of the utility locating and/or asset tagging operations. Likewise, the terms “correlating” and “correlated” may refer to identifying or establishing a link or relationship between information/data or other aspects of the utility locating and/or asset tagging operations. Such correlations may spatially align or otherwise have a spatial relationship. For instance, electromagnetic data may have a correlating spatial relationship with tagged assets or other images of the locating environment. In other embodiments, such correlations may refer to relationships between data or sets of data. For instance, in some embodiments, such as the method 1100 of
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The utility locator device 100 may further determine geolocations and orientation/pose at those geolocations, referred to herein as “geospatial data,” in order to further map buried utility lines such as the utility line 150. For instance, the utility locator device 100 may include one or more GNSS 103 to receive navigation signals 165 from a plurality of GNSS satellites 160 in determining geolocations of the utility locator device 100. Further, the utility locator device 100 may include an inertial navigation system (INS) 104 (
Further, the utility locator device 100 may include a rangefinder apparatus 105 for tagging assets in the locating environment such as an asset 170. The rangefinder apparatus 105 may be or share aspects with U.S. patent application Ser. No. 17/845,290, filed Jun. 21, 2022, entitled DAYLIGHT VISIBLE AND MULTI-SPECTRAL LASER RANGEFINDERS AND ASSOCIATED SYSTEMS AND METHODS AND UTILITY LOCATOR DEVICES; U.S. Pat. No. 11,397,274, issued Jul. 26, 2022, entitled TRACKED DISTANCE MEASURING DEVICES, SYSTEMS, AND METHODS; and/or other devices disclosed in the incorporated patents and applications. The content of each of these applications is incorporated by reference herein in its entirety.
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It should also be noted that in some embodiments the camera or cameras may be or include LiDAR or other three-dimensional imaging apparatus to generate a three-dimensional image of an asset such as the asset 170. The smartphone mounting apparatus 120 may have an opening 121 such that the field of view 142 of the camera(s) 141 may be unobstructed by the smartphone mounting apparatus 120 in generating images and/or video of the asset 170 in the locating environment. Further, the smartphone mounting apparatus 120 may include a notch 122 such that, when installed, the smartphone mounting apparatus 120 may not block access to the data and charging port on the smartphone 140 allowing the smartphone 140, in some embodiments, to be plugged into a cable for purposes of charging and/or data transfer with the utility locator device 100 or other device.
As illustrated, the smartphone 140, supported by a smartphone mounting apparatus 120, and the utility locator device 100 may wireless communicate data (e.g., via wireless module which may be or include Bluetooth, Wi-Fi, cellular radio, ISM radio, or the like). For instance, the smartphone 140 may include a wireless module 143 (
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The utility locator device 100 may further include one or more GNSS 103 and INS 104 (e.g., one or more accelerometers, gyroscopes, magnetometers, and the like) in determining geolocations and positions or poses at the geolocations. Such positioning data may further be used in mapping utility lines emitting electromagnetic signals such as the utility line 150 emitting the signal 155. Likewise, as disclosed with the method 1100 of
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A wireless module 110 (e.g., Bluetooth, Wi-Fi, cellular radio, ISM radio, or the like) may be included in the utility locator device 100 in communicating data between the smartphone 140 (also having a wireless module 143) and the utility locator device 100. Likewise, the wireless module 110 of the utility locator device 100 and the wireless module 143 of the smartphone 140 may communicate data related to mapped utility lines and/or images of tagged assets and related data and/or other data measured by the utility locator device 100 and other connected devices and apparatus with one or more remote databases and/or other computing device(s) 190 (e.g., cloud servers, other system devices, or the like).
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In some embodiments in keeping with the present disclosure may adjust to accommodate different makes and models of smartphones that may be different sizes. Turning to
In some embodiments in keeping with the present disclosure the angle orientation may be adjustable via an adjustable angle orientation element to correct the orientation of the field of view of a smartphones cameras when retained in a smartphone mounting apparatus. Turning to
In some embodiments in keeping with the present disclosure a smartphone mounting apparatus may include a battery for charging a retained smartphone. Turning to
A smartphone mounting apparatus in keeping with the present disclosure may couple to the head or elsewhere on a utility locator device besides the mast of a utility locator device. In some such embodiments, the user interface of the smartphone may be viewable and otherwise accessible to the user while carrying the utility locator device.
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In an optional step 710, the method may include communicating the smartphone and/or camera specific characteristics to the utility locator device and/or other processing device. For instance, the camera or cameras of a smartphone may have known optical characteristics that may vary from model to model of smartphone. The smartphone and/or camera specific characteristics may be or include a phone model and/or serial number and/or like information that may identify the specific optical characteristics of the particular smartphone. In yet further embodiments, such data may be determined via the metadata of the images and/or video determined by the smartphone camera(s).
In a step 715, the method 700 may include performing a utility locating operation via the utility locator device. For instance, a user may carry the utility locator device through a locate area measuring electromagnetic signals.
In a step 720, the method 700 may include identifying assets to be tagged and actuating asset tagging to generate asset tagging data that includes the geolocation of assets. For instance, the asset may be tagged via a laser rangefinder apparatus. A user may press a button, give a voice command, or otherwise initiated the asset tagging procedure. In such embodiments, the orientation of the smartphone mounting apparatus may capture the laser on the asset in the field of view of the smartphone when installed. In some embodiments, image recognition or artificial intelligence may be used to identify particular objects or attributes in the locate environment for tagging. Likewise, anomalous or particular electromagnetic signal signature patterns measured at the utility locator device may initiate tagging of assets. In some embodiments, the geolocation of the asset may be determined through the known geolocation and orientation/pose data of the utility locator device and/or the connected smartphone. For instance, the utility locator device and/or the smartphone may determine orientation/pose at a position such that the position of an asset may be estimated relative to the utility locator device and/or smartphone. Such a position may be refined or more accurately calculated where the specific optical characteristics of the camera(s) are known (e.g., via the step 710). Further, as the geolocation of the utility locator device and/or smartphone may be determined through GNSS or the like, the geolocation of the asset may be determined.
In a step 725, the method 700 may include capturing video and/or still images of the asset on the smartphone retained in the smartphone mounting apparatus. It should be noted that in some embodiments the camera or cameras may be or include LiDAR or other three-dimensional imaging apparatus to generate a three-dimensional image of an asset. In some embodiments, the step 725 may be automated when the tagging procedure is initiated. In other embodiments, a user may, through the push of a button, providing a voice command, or like input, command the smartphone to capture the images(s) and/or video of the asset. In other embodiments, images may instead or additionally be generated via one or more cameras disposed in the utility locator device (e.g., the cameras 1006 of the utility locator device 1000 illustrated in
In an optional step 730, the method 700 may include communicating the video and/or still images of the asset to the utility locator device, smartphone, remote database or cloud server, and/or other processing device(s) and/or directly to the internet. For instance, the video and/or still images of the asset may be communicated to the utility locator device from the smartphone via Bluetooth, Wi-Fi, cellular radio, ISM, a wired connection, or the like. In such embodiments, processing of images and other data may occur in the utility locator device. In other embodiments, such processing may occur in the smartphone. Further, in some embodiments such as with the utility locator device 1000 of
In a step 735, the method 700 may include correlating the video and/or still images of the asset with the geolocation of the asset. In a step 740, the method 700 may include correlating electromagnetic data and associated utility line position(s) generated by the utility locator device with the correlated video/images and geolocations of assets.
In a step 745, the method 700 may include correlating any notes or other user input data with the correlated video/images and geolocations of assets and electromagnetic signal data and associated utility line positions. For instance, a user may type or provide a voice annotation to the tagged asset. Such voice annotated tagged assets may be U.S. patent application Ser. No. 18/354,926, filed Jul. 19, 2023, entitled NATURAL VOICE UTILITY ASSET ANNOTATION SYSTEM; and/or other devices disclosed in the incorporated patents and applications. The content of each of these applications is incorporated by reference herein in its entirety.
In an optional step 750, corrections to the asset and/or associated utility line geolocations may be made based, fully or in part, on smartphone and/or camera specific characteristics. For instance, knowing the specific optical characteristics associated with each image of an asset may, alone or in tandem with data from other sources (e.g., GNSS and/or INS in the utility locator device and/or smartphone or the like), to determine a more accurate position/geolocation of the asset and/or utility line(s).
In a step 755, the method 700 may include communicating data relating to the correlated video/images and geolocations of assets and electromagnetic data and associated utility line position(s) to a remote database and/or other computing device. For instance, the video and/or still images of the asset and corresponding asset tagging data as well as mapped utility lines may be communicated to a cloud computer and/or other computing device and/or other system device(s). In a step 760, the method 700 may include storing data relating to the correlated video/images and geolocations of assets and electromagnetic data and associated utility line position(s) in one or more non-transitory memories. The method 700 may optionally repeat at step 715 tagging other assets in the locating environment until the locating operation has been completed.
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In some embodiments, the utility locator device may include one or more cameras and analyzing and processing of images may be carried out on a smartphone. Likewise, analyzing and processing of images may instead or additionally occur on a remote database and/or other computing device(s) (e.g., cloud server or the like) and/or other system device (e.g., laptops, tablets, smartphones, remote servers, signal transmitters, base stations, other locating specific devices and the like).
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The utility locator device 1000 may further determine geolocations and orientation/pose at those geolocations, referred to herein as “geospatial data,” in order to further map buried utility lines such as the utility line 1050. For instance, the utility locator device 1000 may include one or more GNSS 1003 to receive navigation signals 1065 from a plurality of GNSS satellites 1060 in determining geolocations of the utility locator device 1000. Further, the utility locator device 1000 may include an inertial navigation system (INS) 1004 (
Further, the utility locator device 1000 may include a rangefinder apparatus 1005 for measuring distances to assets/objects from the utility locator device 1000 and/or tagging assets in the locating environment such as an asset 1070. The rangefinder apparatus 1005 may be or share aspects with U.S. patent application Ser. No. 17/845,290, filed Jun. 21, 2022, entitled DAYLIGHT VISIBLE AND MULTI-SPECTRAL LASER RANGEFINDERS AND ASSOCIATED SYSTEMS AND METHODS AND UTILITY LOCATOR DEVICES; U.S. Pat. No. 11,397,274, issued Jul. 26, 2022, entitled TRACKED DISTANCE MEASURING DEVICES, SYSTEMS, AND METHODS; and/or other devices disclosed in the incorporated patents and applications. The content of each of these applications is incorporated by reference herein in its entirety.
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The utility locator device 1000 is shown having a dodecahedral antenna array 1001 and a receiver circuitry 1002 which may, for example, include one or more buffers, amplifiers, signal conditioners, analog-to-digital (A/D) converters, multiplexers, and the like to provide filtering functionality, signal conditioning, or the like for outputs to a processing element 1011 having one or more processor to determine the emission positions of a plurality of electromagnetic signals, such as the electromagnetic signal 1055, relative to the utility locator device 1000. The processing element 1011 may further couple with a memory element 1012 having one or more non-transitory memories for the storage of data such as that relating to mapped buried utility lines, tagged assets, photographs/video of tagged assets, images of the locate environment, and the like.
The utility locator device 1000 may further include one or more GNSS 1003 and INS 1004 (e.g., one or more accelerometers, gyroscopes, magnetometers, and the like) in determining geolocations and positions or poses at the geolocations. Such positioning data may further be used in mapping utility lines emitting electromagnetic signals such as the utility line 1050 emitting the signal 1055. Likewise, as disclosed with the method 1100 of
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A wireless module 1010 (e.g., Bluetooth, Wi-Fi, cellular radio, ISM radio, or the like) may be included in the utility locator device 1000 to communicate data between the smartphone 1040 (also having a wireless module 1043) and the utility locator device 1000. For instance, the utility locator device 1000 may generate images of the locating environment and/or the asset 1070 and communicate such data to the smartphone 1040 for analyzing and processing of images (e.g., via the method 1100 of
In some embodiments (e.g., the utility locator device 1000 of
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In some configurations, the apparatus or systems described herein may include means for implementing features or providing functions described herein. In one aspect, the aforementioned means may be a module including a processor or processors, associated memory and/or other electronics in which embodiments of the invention reside, such as to implement image and/or video signal processing, switching, transmission, or other functions to process and/or condition camera outputs, control lighting elements, control camera selection, or provide other electronic or optical functions described herein. These may be, for example, modules or apparatus residing in camera assemblies, camera and lighting assemblies, or other assemblies disposed on or within a push-cable or similar apparatus.
Those of skill in the art would understand that information and signals, such as video and/or audio signals or data, control signals, or other signals or data may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, electro-mechanical components, or combinations thereof. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The various illustrative functions and circuits described in connection with the embodiments disclosed herein with respect to tools, instruments, and other described devices may be implemented or performed in one or more processing elements using elements such as a general or special purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. Processing elements may include hardware and/or software/firmware to implement the functions described herein in various combinations.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use various embodiments. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure.
Accordingly, the presently claimed invention is not intended to be limited to the aspects shown herein, but is to be accorded the full scope consistent with the specification and drawings, wherein reference to an element in the singular is not intended to mean “one and only one” unless specifically so stated, but rather “one or more.” Unless specifically stated otherwise, the term “some” refers to one or more. A phrase referring to “at least one of” a list of items refers to any combination of those items, including single members. As an example, “at least one of: a, b, or c” is intended to cover: a; b; c; a and b; a and c; b and c; and a, b and c.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the spirit or scope of the disclosure. Thus, the scope of the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the appended claims and their equivalents.
This application claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application Ser. No. 63/514,090, entitled SMARTPHONE MOUNTING APPARATUS AND METHODS FOR ASSET TAGGING AS USED WITH UTILITY LOCATOR DEVICES, filed Jul. 17, 2023, the content of which is incorporated by reference herein in its entirety for all purposes.
Number | Date | Country | |
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63514090 | Jul 2023 | US |