Detection equipment for gas pipe network

Abstract

The embodiment of the utility model discloses detection equipment for a gas pipe network. The detection equipment comprises a mobile device, an image acquisition unit and a position identification unit, the moving device is used for moving along a pipeline line of the gas pipe network; the image acquisition unit is used for acquiring image information at a pipeline line of the gas pipe network; and the position identification unit is used for determining whether the third-party construction equipment exists within a preset distance from the pipeline line of the gas pipe network by using the image information and the obtained position information of the third-party construction equipment. According to the application, the image acquisition unit and the position identification unit are arranged on the mobile device, and the image acquisition unit and the position identification unit which move along the pipeline line are utilized to identify whether the third-party construction equipment exists within the preset distance; the technical problems that in the prior art, the gas pipe network can be prevented from being damaged by third-party construction only through manual inspection, the workload of workers is large, the investment cost is high, and the inspection efficiency is low are solved.

Description

Technical Field

[0001] The embodiments of the utility model relate to the field of detection technology, and in particular to a detection device for a gas pipeline network. Background Art

[0002] As urban gas pipeline construction enters a period of rapid development, the crisscrossing network of gas pipelines is increasingly exposed to risks brought on by third-party construction. Incidents of third-party construction damaging gas pipelines are common, impacting normal gas supply at the very least and endangering the lives and property of the public at the worst.

[0003] Currently, the main measure taken by gas companies to prevent third-party construction from damaging gas pipelines is to establish a management and control mechanism, assign dedicated personnel to each area, and regularly inspect high, medium, and low-pressure pipelines and facilities at a fixed frequency. This method can only achieve a fixed number of inspections, which is costly, labor-intensive, requires a lot of manpower, and is inefficient. It is also difficult to detect third-party construction in a timely manner. Utility Model Content

[0004] The embodiment of the utility model provides a gas pipe network detection device, which solves the technical problems in the prior art of preventing gas pipe networks from being damaged by third-party construction and relying only on manual inspections, which result in heavy workload, high investment costs and low inspection efficiency.

[0005] The embodiment of the present utility model provides a gas pipe network detection device, the detection device comprising a mobile device, an image acquisition unit and a position recognition unit;

[0006] The image acquisition unit and the position recognition unit are both mounted on the mobile device, and the image acquisition unit is electrically connected to the position recognition unit;

[0007] The moving device is used to move along the pipeline line of the gas pipeline network;

[0008] The image acquisition unit is used to acquire image information of the pipeline line of the gas network;

[0009] The position identification unit is used to determine whether there is third-party construction equipment within a preset distance from the pipeline line of the gas network by using the image information and the acquired position information of the third-party construction equipment.

[0010] Furthermore, the detection device also includes an edge intelligent computing unit;

[0011] The edge intelligent connection computing unit is electrically connected to the image acquisition unit and the position recognition unit respectively;

[0012] The edge intelligent computing unit is used to use an artificial intelligence recognition algorithm to perform calculations on the image information obtained by the image acquisition unit and the position information obtained by the position recognition unit.

[0013] Furthermore, the image acquisition unit includes at least two cameras;

[0014] At least two of the cameras are used to obtain the image information including RGB images, disparity maps, depth maps, and video information.

[0015] Furthermore, the position identification unit includes an inertial measurement subunit and a positioning subunit;

[0016] The inertial measurement subunit is used to obtain the position information of the third-party construction equipment;

[0017] The positioning subunit is used to determine the current position coordinates of the third-party construction equipment based on the position information.

[0018] Further, the location identification unit includes a device determination subunit;

[0019] The equipment determination subunit is configured to determine whether the third-party construction equipment exists within the preset distance from the pipeline line of the gas pipeline network based on the current position coordinates and the coordinates of the pipeline line of the gas pipeline network.

[0020] Furthermore, the detection device further includes an alarm unit;

[0021] The alarm unit is configured to issue an alarm when the position identification unit determines that the third-party construction equipment is within the preset distance from the pipeline line of the gas network.

[0022] Furthermore, the detection device also includes a host computer;

[0023] The host computer is respectively connected to the image acquisition unit, the position identification unit, and the alarm unit for communication;

[0024] The host computer is used to receive and display corresponding alarm information after the alarm unit is activated, wherein the alarm information at least includes: image information and location information of the third-party construction equipment that triggers the alarm unit to be activated.

[0025] Furthermore, the detection device further includes a communication unit and a power supply unit;

[0026] The communication unit includes at least a WIFI communication module, a 5G communication module, and a 4G communication module;

[0027] The power supply unit is used to supply power to the image acquisition unit and the position recognition unit.

[0028] Furthermore, the mobile device includes one of the following: a bus, a patrol car, an unmanned vehicle, a robot, a robot dog, and a drone.

[0029] Furthermore, the third-party construction equipment includes at least one of the following: an excavator, an engineering vehicle, a construction fence, construction pipes, a safety helmet, and engineering safety clothing.

[0030] The embodiment of the present utility model discloses a detection device for a gas pipeline network, comprising a mobile device, an image acquisition unit, and a position identification unit; the mobile device is used to move along the pipeline line of the gas pipeline network; the image acquisition unit is used to acquire image information at the pipeline line of the gas pipeline network; the position identification unit is used to use the image information and the acquired position information of the third-party construction equipment to determine whether there is third-party construction equipment within a preset distance from the pipeline line of the gas pipeline network. This application solves the technical problem in the prior art that preventing the gas pipeline network from being damaged by third-party construction can only rely on manual inspections, which has the problems of large workload, high investment costs, and low inspection efficiency, by arranging the image acquisition unit and the position identification unit on the mobile device, and using the image acquisition unit and the position identification unit moving along the pipeline line to identify whether there is third-party construction equipment within a preset distance. This realizes the technical effect of automated inspection of third-party construction conditions in the gas pipeline network, improving inspection efficiency, reducing personnel costs, and effectively reducing the accident rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a structural diagram of a gas pipe network detection device provided by an embodiment of the utility model. DETAILED DESCRIPTION

[0032] The present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are intended only to illustrate the present invention and are not intended to limit the present invention. It should also be noted that, for ease of description, the accompanying drawings only illustrate portions relevant to the present invention, not all of its components.

[0033] It should be noted that the terms "first," "second," and so on, in the specification, claims, and drawings of this utility model are used to distinguish different objects, rather than to limit a specific order. The following embodiments of this utility model can be implemented independently or in combination with each other, and this utility model does not impose specific limitations on this.

[0034] Figure 1 This is a structural diagram of a gas pipe network detection device provided by an embodiment of the utility model.

[0035] As Figure 1 shown, the gas pipe network detection device comprises a mobile device 10, an image acquisition unit 20, and a position recognition unit 30; the image acquisition unit 20 and the position recognition unit 30 are both mounted on the mobile device 10, and the image acquisition unit 20 is electrically connected with the position recognition unit 30.

[0036] The mobile device 10 is used to move along the pipeline route of the gas pipe network; the image acquisition unit 20 is used to acquire image information at the pipeline route of the gas pipe network; and the position recognition unit 30 is used to determine whether there is a third-party construction equipment within a preset distance from the pipeline route of the gas pipe network by using the image information and acquired position information of the third-party construction equipment.

[0037] Specifically, the image acquisition unit 20 and the position recognition unit 30 constitute a gas pipe network intelligent patrol all-in-one machine, which is mounted on the mobile device 10, and the installation position of the gas pipe network intelligent patrol all-in-one machine needs to have an unobstructed field of view in front of it and be able to clearly capture objects within a range of at least 30 meters in radius in front of the line of sight. Optionally, the mobile device 10 comprises one of the following: a bus, a patrol vehicle, a driverless vehicle, a robot, a robotic dog, a drone, and other devices that can carry the image acquisition unit 20 and the position recognition unit 30 to move along the pipeline route of the gas pipe network, which will not be described here.

[0038] During the process of the mobile device 10 patrolling along the pipeline route of the gas pipe network, the image acquisition unit 20 can collect image information around the gas pipeline in real time, which includes video information, parallax maps, color RGB (Red-Green-Blue) images, depth maps, etc. around the gas pipeline, and the position recognition unit 30 can acquire position information of third-party construction equipment around the gas pipeline in real time, and determine whether there is a third-party construction equipment within a preset distance by using the image information and the position information, wherein the preset distance can be set as needed, for example, 10 meters, 5 meters, etc. Assuming that the position information of the third-party construction equipment shows that it is at a position 12 meters away from the gas pipeline, and the preset distance is 10 meters, then the judgment result of the position recognition unit 30 is that there is no third-party construction equipment within the preset distance from the pipeline route of the gas pipe network.

[0039] Optionally, the third-party construction equipment at least comprises one of the following: an excavator, an engineering vehicle, a construction fence, a construction pipe, a safety helmet, and engineering safety clothing.

[0040] Specifically, the third-party construction equipment includes but is not limited to the above-mentioned contents, wherein the safety helmet and the engineering safety clothing are usually worn on the engineering construction personnel, i.e., the position recognition unit 30 can identify whether there is an engineering construction personnel within a preset distance from the pipeline route of the gas pipe network.

[0041] This application sets an image acquisition unit and a position recognition unit on a mobile device, and uses the image acquisition unit and the position recognition unit moving along the pipeline line to identify whether there is third-party construction equipment within a preset distance. It solves the technical problems in the existing technology that preventing the gas pipeline network from being damaged by third-party construction can only rely on manual inspections, which have the problems of large workload, high investment costs, and low inspection efficiency. It realizes the technical effect of automated inspection of third-party construction conditions in the gas pipeline network, improving inspection efficiency, reducing personnel costs, and effectively reducing the accident rate.

[0042] Optionally, the detection device also includes an edge intelligent computing unit; the edge intelligent computing unit is electrically connected to the image acquisition unit and the position identification unit respectively; the edge intelligent computing unit is used to use an artificial intelligence recognition algorithm to perform calculations on the image information acquired by the image acquisition unit and the position information acquired by the position identification unit.

[0043] Specifically, the edge intelligent computing unit is equipped with management software, has the functions of video and image processing and storage, and also has the function of computing and processing image information and location information using artificial intelligence recognition algorithms, as well as the function of uploading event and warning information. The edge intelligent computing unit is cascaded with the video platform, which can realize real-time viewing and playback of inspection videos through the video platform.

[0044] Specifically, the Edge Intelligent Computing Unit brings supercomputer performance to the edge. It is equipped with GPU (Graphics Processing Unit) and CPU (Central Processing Unit) modules, has an accelerated computing capability of at least 8TOPS computing power, and can access no less than 4-way 1080P video. It has rich interfaces and flexible expansion capabilities. It can run modern neural networks in parallel and process data from multiple high-resolution sensors.

[0045] Optionally, the image acquisition unit 20 includes at least two cameras; the at least two cameras are used to acquire image information including RGB images, disparity maps, depth maps, and video information.

[0046] Specifically, the image acquisition unit 20 utilizes at least two cameras to output a color RGB image and a depth map. The RGB image is a color image based on the three primary colors of red, green, and blue, and is used for AI (artificial intelligence) recognition. The depth map is obtained by simultaneously capturing the same object with two cameras, one left and one right, and then using the parallax between the two cameras to derive the object's depth information.

[0047] Specifically, the edge intelligent computing unit performs target recognition on the inspection target in the RGB image according to the pre-built artificial intelligence recognition algorithm to obtain the target recognition result. Among them, the target recognition result includes the target type, target size and target pixel information. The edge intelligent computing unit can also use the image information acquired by the image acquisition unit 20 to determine the distance information from the object to the camera, and use the plane XY coordinate system to calculate the three-dimensional coordinates of each point of the object, wherein the visual ranging distance of the depth map is not less than 30 meters. The edge intelligent computing unit can also obtain the depth information of the target based on the calculated parallax, and then calculate the three-dimensional coordinates of the target image in the camera coordinate system based on the depth information and the target pixel information.

[0048] Optionally, the position identification unit 30 includes an inertial measurement subunit and a positioning subunit; the inertial measurement subunit is used to obtain position information of the third-party construction equipment; and the positioning subunit is used to determine the current position coordinates of the third-party construction equipment based on the position information.

[0049] Specifically, the Inertial Measurement Unit (IMU) integrates a three-axis accelerometer, a three-axis gyroscope, a magnetometer, and a microcontroller. The microcontroller deploys complex signal processing algorithms to process the data collected by the sensors and provide accurate real-time 3D direction and heading. It can also be used to calibrate acceleration and angular velocity. The positioning subunit has a built-in antenna, a multi-frequency RTK (Real-Time Kinematic, real-time dynamic carrier phase difference technology) engine, and a high-precision navigation and positioning algorithm. It supports all existing civilian navigation and positioning systems and satellite augmentation systems, and can achieve centimeter-level high-precision real-time positioning and driving trajectory tracking of mobile devices.

[0050] The positioning sub-unit uses its own high-precision navigation and positioning algorithm, based on the three-dimensional coordinates of the target image in the camera coordinate system calculated by the edge intelligent computing unit, combined with the IMU inertial navigation data (3D direction, heading, calibrated acceleration and calibrated angular velocity, etc.) to perform fusion calculations to obtain the latitude and longitude coordinates of the third-party construction equipment (that is, the current position coordinates mentioned above).

[0051] Optionally, the location identification unit 30 includes an equipment determination subunit; the equipment determination subunit is used to determine whether there is third-party construction equipment within a preset distance from the pipeline line of the gas pipeline network based on the current location coordinates and the coordinates of the pipeline line of the gas pipeline network.

[0052] Specifically, the equipment determination subunit can use the latitude and longitude coordinates of the third-party construction equipment (i.e., the current position coordinates determined by the positioning subunit) to compare with the coordinates of the pipeline line of the gas pipeline to determine whether the third-party construction equipment is within a radius of 10 meters around the gas pipeline (assuming the preset distance is 10 meters). If so, it is determined that there is a third-party construction equipment, and a third-party construction alarm is subsequently triggered.

[0053] Optionally, the detection device further includes an alarm unit; the alarm unit is configured to issue an alarm prompt when the position identification unit 30 determines that there is third-party construction equipment within a preset distance from the pipeline line of the gas network.

[0054] Specifically, when the location identification unit 30 determines that there is third-party construction equipment within a preset distance from the pipeline line of the gas network, it will trigger the alarm unit to issue a third-party construction alarm. In addition to alerting the staff on the mobile device 10, the alarm information can also be reported in real time. The reported alarm information includes the event information that triggered the alarm, the corresponding image information, and 30-60 seconds of video information before and after the alarm. The length of the video information can be set as needed and is not limited to 30-60 seconds. It will not be repeated here.

[0055] Optionally, the detection equipment also includes a host computer; the host computer is respectively connected to the image acquisition unit 20, the position identification unit 30, and the alarm unit; the host computer is used to receive and display corresponding alarm information after the alarm unit is activated, wherein the alarm information at least includes: the image information and position information of the third-party construction equipment that triggers the action of the alarm unit.

[0056] Specifically, after receiving the alarm information sent by the alarm unit, the host computer can display the corresponding alarm information so that the staff of the host computer can conduct a secondary screening and confirmation based on the alarm information to confirm whether there is any ongoing third-party construction at the corresponding gas pipeline. For example, if the third-party construction equipment is determined to be an excavator, and the excavator is just temporarily parked within a preset distance and is not performing any construction operations, then the staff's secondary screening and confirmation can avoid misjudgment. If the staff's secondary screening and confirmation result shows that there is ongoing or imminent third-party construction, the corresponding staff will be notified so that they can communicate with the third-party construction party in a timely manner to avoid damage to the gas pipeline caused by the construction and reduce the risk of gas pipeline leakage and explosion.

[0057] Optionally, the detection device also includes a communication unit and a power supply unit; the communication unit includes at least a WIFI (wireless network communication technology) communication module, a 5G (5th Generation Mobile Communication Technology, fifth generation mobile communication technology) communication module, and a 4G (4th Generation Mobile Communication Technology, fourth generation mobile communication technology) communication module; the power supply unit is used to power the image acquisition unit and the position identification unit.

[0058] Specifically, the communication unit ensures that the detection equipment has multiple different communication methods. This not only enables communication between devices supporting different communication types, but also ensures redundant communication methods. If one communication method fails, another method can be used to continue communication. The power supply unit supports a DC voltage output of 12-24V.

[0059] In an embodiment of the present utility model, by comprehensively utilizing the corresponding data collected by the image acquisition unit and the position recognition unit, high-precision positioning, and the AI ​​algorithm fusion carried by the edge intelligent computing unit, etc., third-party construction risk events are accurately and quickly identified on the edge side, and construction risks are accurately located and warned in advance, thereby reducing the workload and cost of manual inspections, improving monitoring efficiency, and issuing early warnings before the start of third-party construction or during construction, so that gas pipeline operating units can take effective protective measures to avoid damage to the pipeline caused by construction and reduce the risk of pipeline leakage and explosion.

[0060] In the description of the embodiments of the present invention, unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0061] Finally, it should be noted that the above are merely preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will appreciate that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, and substitutions are readily apparent to those skilled in the art without departing from the scope of the present invention. Therefore, while the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments and may include many other equivalent embodiments without departing from the scope of the present invention. The scope of the present invention is determined by the appended claims.

Claims

1. A gas pipe network detection device, characterized in that: The detection device includes a mobile device, an image acquisition unit and a position recognition unit; The image acquisition unit and the position recognition unit are both mounted on the mobile device, and the image acquisition unit is electrically connected to the position recognition unit; The moving device is used to move along the pipeline line of the gas pipeline network; The image acquisition unit is used to acquire image information of the pipeline line of the gas network; The position identification unit is used to determine whether there is third-party construction equipment within a preset distance from the pipeline line of the gas network by using the image information and the acquired position information of the third-party construction equipment.

2. The gas pipe network detection device according to claim 1, characterized in that: The detection device also includes an edge intelligent computing unit; The edge intelligent connection computing unit is electrically connected to the image acquisition unit and the position recognition unit respectively; The edge intelligent computing unit is used to use an artificial intelligence recognition algorithm to perform calculations on the image information obtained by the image acquisition unit and the position information obtained by the position recognition unit.

3. The gas pipe network detection device according to claim 1, characterized in that: The image acquisition unit includes at least two cameras; At least two of the cameras are used to obtain the image information including RGB images, disparity maps, depth maps, and video information.

4. The gas pipe network detection device according to claim 2, characterized in that: The position identification unit includes an inertial measurement subunit and a positioning subunit; The inertial measurement subunit is used to obtain the position information of the third-party construction equipment; The positioning subunit is used to determine the current position coordinates of the third-party construction equipment based on the position information.

5. The gas pipe network detection device according to claim 4, characterized in that: The location identification unit includes a device determination subunit; The equipment determination subunit is configured to determine whether the third-party construction equipment exists within the preset distance from the pipeline line of the gas pipeline network based on the current position coordinates and the coordinates of the pipeline line of the gas pipeline network.

6. The gas pipe network detection device according to claim 1, characterized in that: The detection device also includes an alarm unit; The alarm unit is configured to issue an alarm when the position identification unit determines that the third-party construction equipment is within the preset distance from the pipeline line of the gas network.

7. The gas pipe network detection device according to claim 6, characterized in that: The detection equipment also includes a host computer; The host computer is respectively connected to the image acquisition unit, the position identification unit, and the alarm unit for communication; The host computer is used to receive and display corresponding alarm information after the alarm unit is activated, wherein the alarm information at least includes: image information and location information of the third-party construction equipment that triggers the alarm unit to be activated.

8. The gas pipe network detection device according to claim 1, characterized in that: The detection device also includes a communication unit and a power supply unit; The communication unit includes at least a WIFI communication module, a 5G communication module, and a 4G communication module; The power supply unit is used to supply power to the image acquisition unit and the position recognition unit.

9. The gas pipe network detection device according to claim 1, characterized in that: The mobile device includes one of the following: a bus, a patrol car, an unmanned vehicle, a robot, a robot dog, and a drone.

10. The gas pipe network detection device according to claim 1, characterized in that: The third-party construction equipment includes at least one of the following: excavators, construction vehicles, construction fences, construction pipes, safety helmets, and engineering safety clothing.

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