Pressure gauge inspection method and device based on edge calculation and electronic equipment

Abstract

The invention provides a pressure meter inspection method and device based on edge calculation and electronic equipment, and relates to the technical field of meter inspection. The method comprises the following steps: shooting a meter image for a target pressure meter, and sending the shot meter image to a target edge calculation device; and then, based on the target edge calculation device, analyzing the meter image to determine the to-be-inspected pressure meter which needs to be inspected. And then, according to the installation position of the to-be-patrolled pressure gauge, determining a target patrolling route, and patrolling the to-be-patrolled pressure gauge based on the target patrolling route to obtain a patrolling image and patrolling data of the to-be-patrolled pressure gauge. And sending the patrol image and / or the patrol data to a target edge computing device to generate a patrol report at the target edge computing device, and further sending the patrol report to a target cloud computing center communicating with the target edge computing device. The abnormal condition of the pressure gauge can be detected and responded in time.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of meter inspection, and in particular to a pressure meter inspection method and device based on edge computing and an electronic device. BACKGROUND

[0002] A pressure meter is an instrument used to measure and display the fluid pressure of a device. Since the data of the pressure meter is crucial for the safe operation of the device, the pressure meter needs to be monitored or inspected to ensure that the device operates within a safe pressure range. With the increasing intelligence and automation level of the power system, the monitoring or inspection demand of the pressure meter is increasing.

[0003] The prior art relies on manual inspection or obtains the data of the pressure meter through fixed collection devices. In manual inspection, the inspector needs to go to the site where the pressure meter is installed to obtain the data of the pressure meter by visually checking the display panel of the pressure meter. In obtaining the data of the pressure meter through fixed collection devices, a fixedly installed camera can be used to monitor the pressure meter through video, and the video is transmitted to a central server. The central server analyzes the video to obtain the data of the pressure meter and generates an inspection report.

[0004] However, the prior art cannot timely detect and respond to abnormal conditions of the pressure meter. SUMMARY

[0005] The present application provides a pressure meter inspection method and device based on edge computing and an electronic device to solve the technical problem that the prior art cannot timely detect and respond to abnormal conditions of the pressure meter.

[0006] In a first aspect, the present application provides a pressure meter inspection method based on edge computing, comprising:

[0007] Taking a meter image of a target pressure meter, sending the meter image to a target edge computing device; based on the target edge computing device, analyzing the meter image to determine a to-be-inspected pressure meter that needs to be inspected; wherein the target pressure meter includes the to-be-inspected pressure meter;

[0008] Based on the installation position of the to-be-inspected pressure meter, determining a target inspection route; based on the target inspection route, inspecting the to-be-inspected pressure meter to obtain an inspection image and inspection data of the to-be-inspected pressure meter;

[0009] Sending the inspection image and / or the inspection data to the target edge computing device to generate an inspection report at the target edge computing device; and sending the inspection report to a target cloud computing center in communication with the target edge computing device.

[0010] In a possible design, the method further includes:

[0011] In a possible design, the method further includes:

[0012] In a possible design, the method further includes:

[0013] In a possible design, the method further includes:

[0014] In a possible design, the method further includes:

[0015] In a possible design, the method further includes:

[0016] In a possible design, the method further includes:

[0017] In a possible design, the method further includes:

[0018] In a possible design, the method further includes:

[0019] In a possible design, the method further includes:

[0020] In a possible design, the method further includes:

[0021] In a possible design, the method further includes:

[0022] In a possible design, the method further includes:

[0023] If a fault alarm signal sent by the target pressure gauge is received based on the target edge computing device, the target pressure gauge is determined as a to-be-inspected pressure gauge that needs to be inspected.

[0024] In a possible design, before the gauge image is captured for the target pressure gauge, the method further includes:

[0025] A gas insulated switchgear (GIS) to be monitored is determined, and a corresponding target pressure gauge is arranged for each gas chamber of the GIS, where the target pressure gauge is configured to monitor the gas pressure in the gas chamber;

[0026] Based on the number of target pressure gauges, at least one target edge computing device is installed between indoor equipment where the GIS is located.

[0027] In a possible design, the method further includes:

[0028] A first hash value of the inspection image and / or the inspection data is calculated, a second hash value of the inspection image and / or the inspection data is recalculated based on a preset time interval, and the first hash value is compared with the second hash value to perform periodic hash verification on the inspection image and / or the inspection data.

[0029] The storage time length of the inspection image and / or the inspection data in the target edge computing device is determined, and if the storage time length is greater than or equal to a preset time length, the inspection image and / or the inspection data are sent to the target cloud computing center.

[0030] In a second aspect, the present application provides a pressure gauge inspection device based on edge computing, which includes:

[0031] The shooting module is configured to capture a gauge image for a target pressure gauge.

[0032] The sending module is configured to send the gauge image to a target edge computing device.

[0033] The determining module is configured to analyze the gauge image based on the target edge computing device to determine a to-be-inspected pressure gauge that needs to be inspected, where the target pressure gauge includes the to-be-inspected pressure gauge.

[0034] The determining module is further configured to determine a target inspection route based on the installation position of the to-be-inspected pressure gauge.

[0035] The inspection module is configured to inspect the to-be-inspected pressure gauge based on the target inspection route to obtain an inspection image and inspection data of the to-be-inspected pressure gauge.

[0036] The sending module is further configured to send the inspection image and / or the inspection data to the target edge computing device, so that the target edge computing device generates an inspection report; and send the inspection report to a target cloud computing center in communication with the target edge computing device.

[0037] In a possible design, the inspection module further includes a delivery module configured to deliver the target inspection route to an indoor unmanned aerial vehicle airport; and the indoor unmanned aerial vehicle airport is located in an indoor equipment room where the pressure gauge to be inspected is located, and the indoor equipment room represents a room where the pressure gauge to be inspected is placed.

[0038] The photographing module is further configured to control a unmanned aerial vehicle of the indoor unmanned aerial vehicle airport to photograph an inspection image of the pressure gauge to be inspected at a point indicated by the target inspection route.

[0039] The inspection module further includes an identification module configured to identify a first pressure gauge reading included in the inspection image.

[0040] The determination module is further configured to determine the first pressure gauge reading as the inspection data.

[0041] In a possible design, the sending module is further configured to:

[0042] If the inspection data is in a preset normal range, the sending module is further configured to send the inspection data to the target edge computing device.

[0043] If the inspection data is not in the preset normal range, the sending module is further configured to send the inspection image and the inspection data to the target edge computing device.

[0044] If the inspection data is not identified based on the inspection image, the sending module is further configured to send the inspection image to the target edge computing device.

[0045] In a possible design, the identification module is further configured to identify a second pressure gauge reading included in the meter image based on the target edge computing device.

[0046] The determination module is further configured to determine the target pressure gauge as the pressure gauge to be inspected if the second pressure gauge reading meets a preset inspection requirement.

[0047] In a possible design, the determination module is further configured to:

[0048] If the target pressure gauge included in the meter image is identified based on the target edge computing device to meet a preset fault state, the determination module is further configured to determine the target pressure gauge as the pressure gauge to be inspected.

[0049] If a fault alarm signal sent by the target pressure gauge is received based on the target edge computing device, the target pressure gauge is determined as a to-be-inspected pressure gauge that needs to be inspected.

[0050] In a possible design, the determining module is further configured to determine a gas insulated switchgear (GIS) to be monitored.

[0051] The edge computing-based pressure gauge inspection device further includes a setting module and an installation module.

[0052] The setting module is configured to set a corresponding target pressure gauge for each gas chamber of the GIS, where the target pressure gauge is configured to monitor the gas pressure in the gas chamber.

[0053] The installation module is configured to install at least one target edge computing device between indoor equipment of the GIS based on the number of target pressure gauges.

[0054] In a possible design, the edge computing-based pressure gauge inspection device further includes a computing module and a verification module.

[0055] The computing module is configured to calculate a first hash value of the inspection image and / or the inspection data, and recalculate a second hash value of the inspection image and / or the inspection data based on a preset time interval.

[0056] The verification module is configured to compare the first hash value with the second hash value to perform periodic hash verification on the inspection image and / or the inspection data.

[0057] The determining module is further configured to determine a storage duration of the inspection image and / or the inspection data in the target edge computing device.

[0058] The sending module is further configured to send the inspection image and / or the inspection data to the target cloud computing center if the storage duration is greater than or equal to a preset duration.

[0059] In a third aspect, the present application provides an electronic device, including at least one processor and a memory; the memory stores computer execution instructions; the at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the method in the first aspect and various possible designs.

[0060] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, wherein the computer readable storage medium stores computer execution instructions, and when a processor executes the computer execution instructions, the method in the first aspect and various possible designs are implemented.

[0061] In a fifth aspect, an embodiment of the present application provides a computer program product, comprising a computer program, and when a processor executes the computer program, the method in the first aspect and various possible designs are implemented.

[0062] The edge computing-based pressure gauge inspection method, device and electronic equipment provided by the present application take a gauge image of a target pressure gauge, and send the taken gauge image to a target edge computing device. Then, based on the target edge computing device, the gauge image is analyzed to determine a to-be-inspected pressure gauge that needs to be inspected. Next, according to the installation position of the to-be-inspected pressure gauge, a target inspection route is determined, and based on the target inspection route, the to-be-inspected pressure gauge is inspected to obtain an inspection image and inspection data of the to-be-inspected pressure gauge. The inspection image and / or the inspection data are sent to the target edge computing device to generate an inspection report at the target edge computing device, and the inspection report is further sent to a target cloud computing center in communication with the target edge computing device. As can be seen, the target edge computing device can process most of the data, and only the inspection report is sent to the target cloud computing center, greatly reducing the amount of data transmitted to the target cloud computing center, thereby avoiding excessive occupation of network bandwidth. In addition, by setting the target edge computing device, data processing can be performed near the target pressure gauge, greatly reducing the time delay of data transmission, thereby improving the real-time performance and abnormal response speed of the pressure gauge inspection, and the abnormal condition of the pressure gauge can be detected and responded in time. BRIEF DESCRIPTION OF DRAWINGS

[0063] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and serve to explain the principles of the present application together with the specification.

[0064] Figure 1 Flowchart of the edge computing-based pressure gauge inspection method provided by an embodiment of the present application Figure One ;

[0065] Figure 2 Flowchart of the edge computing-based pressure gauge inspection method provided by an embodiment of the present application Figure Two ;

[0066] Figure 3 Structural diagram of the edge computing-based pressure gauge inspection method provided by an embodiment of the present application

[0067] Figure 4 A hardware structure diagram of an electronic device according to an embodiment of the present application is provided.

[0068] The above-described drawings show specific embodiments of the present application, which will be described in greater detail below. The drawings and descriptions are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to a person skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0069] The exemplary embodiments will be described in detail herein with reference to the attached drawings. The same reference numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments are not meant to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the appended claims.

[0070] The terms "first", "second", "third", "fourth" and the like in the description and in the claims of the present application, and in the above-described drawings if any, are used to distinguish between similar objects and not necessarily for describing a specific sequential or chronological order. It is to be understood that the use of these terms herein is to be construed to cover the embodiments of the application described herein, for example, in any order.

[0071] In the embodiments of the present application, the words "exemplary" and "for example" are used to mean example, illustration, or instance, and do not necessarily have to imply a ranking of superiority over other embodiments or examples. The use of these terms herein is to be construed to cover the embodiments of the application described herein, for example, in any order.

[0072] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of the relevant data need to comply with relevant laws, regulations and standards, and provide corresponding operation portal for user to choose authorization or refusal.

[0073] In many devices, the pressure must be maintained within a certain range to ensure that the device can be safely and effectively operated. Too high or too low pressure can cause device failure, low efficiency, and even cause safety accidents.

[0074] The pressure gauge, as a measuring and displaying device for measuring and displaying the internal pressure of equipment, directly affects the operating conditions and safety of the equipment. By monitoring or patrolling the pressure gauge, it can be ensured that the equipment operates within a safe pressure range, avoiding accidents and losses.

[0075] The prior art relies on manual inspection or fixed acquisition equipment to obtain the data of the pressure gauge. In manual inspection, the inspector needs to go to the site where the pressure gauge is installed to obtain the data of the pressure gauge by visually checking the display panel of the pressure gauge.

[0076] However, manual inspection may result in low frequency of data collection of the pressure gauge, especially when there are a large number of pressure gauges, real-time monitoring or real-time inspection cannot be achieved. In addition, manual inspection is prone to human errors, such as reading errors or missing abnormal conditions.

[0077] In the process of obtaining the data of the pressure gauge by fixed acquisition equipment, a fixedly installed camera can be used to monitor the video of the pressure gauge, and the video captured is transmitted to a central server. The central server analyzes the video to obtain the data of the pressure gauge and generates a patrol report.

[0078] Although the data of the pressure gauge can be obtained by fixed acquisition equipment to achieve high-frequency data collection, the data processing completely relies on the central server, which results in a huge computing load of the central server. At the same time, the camera continuously transmits high-definition video to the central server, which not only affects other data communication but also causes network delay. The network delay and the computing load of the central server result in a long response time for abnormal detection and response of the pressure gauge.

[0079] Therefore, the prior art cannot timely detect and respond to abnormal conditions of the pressure gauge.

[0080] In view of the above technical problems, considering that manual inspection is inefficient and has large errors, and relying on the central server to process the data of the pressure gauge cannot timely detect and respond to abnormal conditions of the pressure gauge, the inventors thought of setting multiple edge computing devices near the pressure gauge, completing the data processing of the pressure gauge by the edge computing devices, without the need to send all data to the central server, avoiding excessive occupation of network bandwidth. At the same time, since the edge computing devices are close to the pressure gauge, the time delay of data transmission is greatly reduced, and multiple edge computing devices process data together, without causing a huge computing load of the edge computing devices. Therefore, by setting the edge computing devices, the problems of network delay and computing load are solved, and the edge computing devices can timely process the data of the pressure gauge, thereby timely detecting and responding to abnormal conditions of the pressure gauge.

[0081] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific examples. The following specific examples can be combined with each other, and the same or similar concepts or processes can not be described again in some examples. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0082] The embodiments of the present application provide a pressure gauge inspection method based on edge computing. First of all, it needs to be pointed out that the pressure gauge inspection method based on edge computing provided by the embodiments of the present application is for a gas-insulated switchgear (GIS).

[0083] The GIS is usually composed of multiple gas chambers, and each gas chamber contains different electrical components, such as circuit breakers, disconnectors, grounding switches, current transformers, and voltage transformers.

[0084] Therefore, the pressure gauge in the present application is used to measure the pressure state of SF6 gas in each gas chamber of the GIS.

[0085] Figure 1 The flowchart of the pressure gauge inspection method based on edge computing provided by the embodiments of the present application Figure One As shown in Figure 1 The pressure gauge inspection method based on edge computing includes:

[0086] S101, taking a gauge image for a target pressure gauge, sending the gauge image to a target edge computing device; based on the target edge computing device, analyzing the gauge image to determine a to-be-inspected pressure gauge that needs to be inspected.

[0087] Explanatorily, the target pressure gauge, the target edge computing device, and the to-be-inspected pressure gauge are located in the same indoor equipment room, wherein the target pressure gauge includes the to-be-inspected pressure gauge. The indoor equipment room refers to a room or area specially used for placing various equipment and systems. In the indoor equipment room of the present application, the target pressure gauge, the target edge computing device, and the to-be-inspected pressure gauge are placed, and the GIS to be monitored is also placed.

[0088] Specifically, the GIS to be monitored is determined, and a corresponding target pressure gauge is set for each gas chamber of the GIS, i.e., each gas chamber corresponds to a target pressure gauge. According to the number of target pressure gauges, at least one target edge computing device is installed in the indoor equipment room.

[0089] The installed target edge computing device can form an edge computing cluster to jointly use the computing resources, storage resources and network resources of all target edge computing devices. By connecting the target pressure gauge to the edge computing cluster, the target edge computing device in the edge computing cluster can provide patrol service for the target pressure gauge.

[0090] It should be noted that the purpose of building an edge computing cluster is to form a virtual computing power pool and a virtual storage pool in units of distributed target edge computing devices, so as to dynamically adjust the allocation of computing resources, storage resources and network resources of the target edge computing devices.

[0091] The virtual computing power pool is used to call all available computing power in the edge computing cluster. The failure or unavailability of a few target edge computing devices will not cause the entire virtual computing power pool to be unavailable, but only reduce the computing power of part of the program.

[0092] The virtual storage pool is used to call all available storage in the edge computing cluster for data storage and backup. Assuming that there are N target edge computing devices in the edge computing cluster, a piece of data can be copied N times to obtain N identical data, and the N data will be distributed and stored in the storage devices of each target edge computing device, that is, each target edge computing device stores a piece of data. Therefore, if the number of target edge computing devices with unavailable storage devices is less than N, the integrity and readability of the data will not be affected. It should be understood that in order to avoid tampering with the N data, periodic hash verification is required for each piece of data. N is a positive integer greater than or equal to 1.

[0093] Further, after the target pressure gauge and the target edge computing device are installed, the gauge image of the target pressure gauge can be taken. In one possible implementation, a camera can be installed directly in front of the target pressure gauge to take the gauge image of the target pressure gauge. It can be understood that multiple gauge images of the pressure gauge are usually taken at different time points to record the trend of pressure change.

[0094] Next, the taken gauge image is sent to the target edge computing device, and the target edge computing device identifies the reading of the target pressure gauge in the gauge image. If the reading of the target pressure gauge meets the preset patrol requirement, the target pressure gauge is determined as a to-be-patrolled pressure gauge that needs to be patrolled. The target edge computing device can use a trained artificial intelligence algorithm (such as a convolutional neural network) to identify the reading of the target pressure gauge in the gauge image. The training process of the artificial intelligence algorithm can refer to the prior art, which will not be described here.

[0095] It should be explained that the preset patrol requirement includes the following six aspects:

[0096] (1) The pressure variation amplitude of the target pressure gauge is greater than a preset threshold.

[0097] Wherein, the absolute value of the difference between the readings of the target pressure gauge in the two gauge images is determined as the pressure variation value of the target pressure gauge. The interval between the shooting times of the two gauge images is determined as the pressure variation time, and the pressure variation amplitude is the pressure variation value divided by the pressure variation time.

[0098] (2) The reading of the target pressure gauge in the gauge image cannot be recognized, and after a set interval of time, the reading of the target pressure gauge in the newly photographed gauge image still cannot be recognized.

[0099] (3) The reading of the target pressure gauge in the gauge image is greater than the upper limit of the target pressure gauge or less than the lower limit of the target pressure gauge.

[0100] (4) The target pressure gauge in the gauge image indicates an alarm position, and the target edge computing device detects that the relay component in the target pressure gauge does not send an alarm signal.

[0101] Explanatorily, the alarm position usually refers to a certain specific scale or range on the target pressure gauge. The target pressure gauge indicating an alarm position means that the reading of the target pressure gauge has reached or exceeded a preset safety threshold, and there may be potential safety risks or abnormal situations.

[0102] (5) The target pressure gauge in the gauge image indicates an alarm position, and the target edge computing device detects that the relay component in the target pressure gauge sends an alarm signal.

[0103] (6) The target pressure gauge in the gauge image does not indicate an alarm position, and the target edge computing device detects that the relay component in the target pressure gauge sends an alarm signal.

[0104] It should be understood that aspects (4) to (6) are more urgent than aspects (1) to (3), and therefore, the patrol priority of aspects (4) to (6) is higher than that of aspects (1) to (3). If necessary, once aspects (4) to (6) occur, the patrol function for the pressure gauge to be patrolled should be triggered immediately.

[0105] In addition, if the target pressure gauge is analyzed by the target edge computing device to have the following two situations, the target pressure gauge should also be considered as a pressure gauge to be patrolled:

[0106] (1) The target pressure gauge in the gauge image meets a preset fault state, for example, the appearance of the target pressure gauge in the gauge image is damaged, leaking oil, etc.

[0107] (2) The target edge computing device receives the fault alarm signal sent by the target pressure gauge.

[0108] It should be noted that if the above two situations occur, the inspection function of the to-be-inspected pressure gauge should also be triggered immediately.

[0109] S102, based on the installation position of the to-be-inspected pressure gauge, determine the target inspection route; based on the target inspection route, inspect the to-be-inspected pressure gauge to obtain the inspection image and inspection data of the to-be-inspected pressure gauge.

[0110] It can be understood that all to-be-inspected pressure gauges are within the coverage range of the target inspection route. The process of inspecting the to-be-inspected pressure gauge is as follows: the target inspection route is sent to the indoor unmanned aerial vehicle airport, wherein the indoor unmanned aerial vehicle airport is also arranged in the indoor equipment room where the to-be-inspected pressure gauge is located. After receiving the target inspection route, the indoor unmanned aerial vehicle airport controls the unmanned aerial vehicle on the airport to take off and go to the inspection point indicated by the target inspection route to take the inspection image of the to-be-inspected pressure gauge.

[0111] After the unmanned aerial vehicle takes the inspection image of the to-be-inspected pressure gauge, it uses its own computing power to identify the reading of the to-be-inspected pressure gauge in the inspection image to obtain the inspection data.

[0112] It should be noted that a mobile robot can be used instead of an unmanned aerial vehicle to inspect the to-be-inspected pressure gauge. The inspection process of the mobile robot is the same as that of the unmanned aerial vehicle, and will not be described here. In addition, a wireless sensor network can be deployed to replace image analysis. The wireless sensor network can directly collect data of the target pressure gauge in real time, reducing the process of image analysis.

[0113] In order to distinguish, the reading of the to-be-inspected pressure gauge in the inspection image of the to-be-inspected pressure gauge taken by the unmanned aerial vehicle is determined as the first pressure gauge reading. The reading of the target pressure gauge in the gauge image of the target pressure gauge taken by the camera is determined as the second pressure gauge reading.

[0114] S103, send the inspection image and / or inspection data to the target edge computing device to generate an inspection report in the target edge computing device; send the inspection report to the target cloud computing center in communication with the target edge computing device.

[0115] Specifically, if the inspection data is in the preset normal range, the inspection data is sent to the target edge computing device, because in this case, the inspection image does not participate in the generation of the inspection report, and can be sent when the target edge computing device is idle for recording. If the inspection data is not in the preset normal range, such as exceeding the range of the pressure gauge (greater than the upper limit of the pressure gauge, or less than the lower limit of the pressure gauge), or indicating an alarm position, the inspection image and the inspection data are sent to the target edge computing device. If the inspection data is not identified based on the inspection image, the inspection image is sent to the target edge computing device.

[0116] It should be noted that, in order to avoid the possibility of random tampering of the inspection image and / or the inspection data, the inspection image and / or the inspection data need to be hashed. In one possible implementation, a first hash value of the inspection image and / or the inspection data is calculated, and a second hash value of the inspection image and / or the inspection data is recalculated based on a preset time interval. The first hash value is compared with the second hash value to periodically hash the inspection image and / or the inspection data.

[0117] Illustratively, if the first hash value is consistent with the second hash value, it indicates that the inspection image and / or the inspection data has not been tampered with; if the first hash value is inconsistent with the second hash value, it indicates that the inspection image and / or the inspection data has been tampered with.

[0118] Next, the target edge computing device analyzes the received inspection image and / or inspection data to generate an inspection report. The inspection report records the preliminary analysis conclusion, i.e. the running state (normal or abnormal) of each pressure gauge to be inspected. Further, the target edge computing device sends the inspection report to the target cloud computing center for archiving.

[0119] At the same time, the target edge computing device also pushes the inspection report to the relevant operation and maintenance personnel, so that the operation and maintenance personnel can timely understand the running state of the pressure gauge to be inspected.

[0120] It should be noted that the inspection image and / or the inspection data in the target edge computing device has a storage duration, i.e. the inspection image and / or the inspection data can be saved in the target edge computing device for a first preset duration (such as 3 months). After the first preset duration, the background automatically transfers the inspection image and / or the inspection data to other target edge computing devices in the edge computing cluster that have idle space, while updating the access link and checking the integrity of the inspection image and / or the inspection data.

[0121] If the storage duration of the inspection images and / or inspection data in the edge computing cluster is greater than or equal to the second preset duration (e.g., 1 year), the inspection images and / or inspection data will be sent to the target cloud computing center, and the access link will be updated simultaneously. The second preset duration is longer than the first preset duration.

[0122] If the inspection images and / or inspection data have been stored in the target cloud computing center for a third preset duration (e.g., 5 years), and the inspection images and / or inspection data have never been accessed within the third preset duration, then the inspection images and / or inspection data will be deleted from the cloud computing center. The third preset duration is longer than the second preset duration.

[0123] In summary, the overall process of the edge computing-based pressure gauge inspection method is described. Figure 2 A flowchart illustrating the edge computing-based pressure gauge inspection method provided in this application embodiment. Figure Two ,like Figure 2 As shown, the overall process of this edge computing-based pressure gauge inspection method is as follows:

[0124] S201. Take an image of the target pressure gauge using a camera directly in front of the target pressure gauge;

[0125] S202, Send the meter image to the target edge computing device; Based on the target edge computing device, identify the second pressure gauge reading contained in the meter image;

[0126] S203. Based on the reading of the second pressure gauge, determine the pressure gauges that need to be inspected.

[0127] S204. Determine the target inspection route based on the installation location of the pressure gauges to be inspected;

[0128] S205. The target edge computing device verifies the target inspection route and, after confirming that it is correct, sends the target inspection route to the indoor UAV airport.

[0129] S206, The drones at the indoor drone airport take off and take inspection images of the pressure gauges to be inspected at the inspection points indicated by the target inspection route.

[0130] S207. The UAV uses its own computing power to identify the readings of the pressure gauges to be inspected in the inspection images and obtain inspection data.

[0131] S208. The UAV sends the inspection images and / or inspection data to the target edge computing device, and the target edge computing device generates an inspection report for this inspection.

[0132] S209, the target edge computing device sends the inspection report to the target cloud computing center and pushes it to the relevant operation and maintenance personnel.

[0133] The pressure gauge inspection method based on edge computing provided in the application takes a gauge image for each target pressure gauge set in the GIS to be monitored, and sends the taken gauge image to a target edge computing device. Then, based on the target edge computing device, the second pressure gauge reading contained in the gauge image is identified, and the pressure gauge to be inspected is determined. Next, according to the installation position of the pressure gauge to be inspected, a target inspection route is determined. The target inspection route is sent to the indoor drone airport, and the drone of the indoor drone airport is controlled to take an inspection image for the pressure gauge to be inspected at the inspection point indicated by the target inspection route, and the first pressure gauge reading contained in the inspection image is determined as the inspection data. Further, the inspection image and / or the inspection data are sent to the target edge computing device to generate an inspection report at the target edge computing device, and the inspection report is sent to the target cloud computing center in communication with the target edge computing device. If the storage time of the inspection image and / or the inspection data at the target edge computing device is greater than or equal to a preset time, the inspection image and / or the inspection data are also sent to the target cloud computing center. As can be seen, the target edge computing device can process most of the data, and the target cloud computing center is responsible for receiving the inspection report generated by the target edge computing device and storing the inspection image and / or the inspection data with a storage time greater than or equal to a preset time, greatly reducing the amount of data transmitted to the target cloud computing center, thereby avoiding excessive occupation of network bandwidth. In addition, by setting the target edge computing device, data processing can be performed near the target pressure gauge, greatly reducing the time delay of data transmission. The cooperative work of the target edge computing device and the drone inspection further realizes efficient and real-time pressure gauge inspection, improves the real-time performance and abnormal response speed of the pressure gauge inspection, and thus can timely detect and respond to abnormal conditions of the pressure gauge.

[0134] Figure 3 The structure diagram of the pressure gauge inspection device based on edge computing provided in the embodiments of the application is shown in Figure 3 The pressure gauge inspection device based on edge computing 300 comprises a shooting module 301, a sending module 302, a determining module 303, and an inspection module 304.

[0135] The shooting module 301 is configured to take a gauge image for a target pressure gauge.

[0136] The sending module 302 is configured to send the gauge image to a target edge computing device.

[0137] The determining module 303 is configured to analyze the meter image based on the target edge computing device, to determine the to-be-inspected pressure meter that needs to be inspected; the target pressure meter includes the to-be-inspected pressure meter.

[0138] The determining module 303 is further configured to determine the target inspection route based on the installation position of the to-be-inspected pressure meter.

[0139] The inspection module 304 is configured to inspect the to-be-inspected pressure meter based on the target inspection route, to obtain an inspection image and inspection data of the to-be-inspected pressure meter.

[0140] The sending module 302 is further configured to send the inspection image and / or the inspection data to the target edge computing device, to generate an inspection report at the target edge computing device; and send the inspection report to a target cloud computing center in communication with the target edge computing device.

[0141] In a possible design, the inspection module 304 further includes a delivering module 305 configured to deliver the target inspection route to an indoor unmanned aerial vehicle airport; the indoor unmanned aerial vehicle airport is located in an indoor equipment room where the to-be-inspected pressure meter is located, and the indoor equipment room represents a room where the to-be-inspected pressure meter is placed.

[0142] The photographing module 301 is further configured to control the unmanned aerial vehicle of the indoor unmanned aerial vehicle airport to photograph the inspection image for the to-be-inspected pressure meter at an inspection point indicated by the target inspection route.

[0143] The inspection module 304 further includes an identifying module 306 configured to identify a first pressure meter reading included in the inspection image.

[0144] The determining module 303 is further configured to determine the first pressure meter reading as the inspection data.

[0145] In a possible design, the sending module 302 is further configured to:

[0146] If the inspection data is in a preset normal range, the sending module 302 sends the inspection data to the target edge computing device.

[0147] If the inspection data is not in the preset normal range, the sending module 302 sends the inspection image and the inspection data to the target edge computing device.

[0148] If the inspection data is not identified based on the inspection image, the sending module 302 sends the inspection image to the target edge computing device.

[0149] In a possible design, the identifying module 306 is further configured to identify a second pressure meter reading included in the meter image based on the target edge computing device.

[0150] The determining module 303 is further configured to determine the target pressure gauge as the pressure gauge to be inspected if the second pressure gauge reading meets the preset inspection requirement.

[0151] In a possible design, the determining module 303 is further configured to:

[0152] determine the target pressure gauge as the pressure gauge to be inspected if the target pressure gauge is identified based on the target edge computing device and meets a preset fault state;

[0153] determine the target pressure gauge as the pressure gauge to be inspected if the target pressure gauge sends a fault alarm signal based on the target edge computing device.

[0154] In a possible design, the determining module 303 is further configured to determine the gas insulated switchgear GIS to be monitored.

[0155] The pressure gauge inspection device based on edge computing 300 further includes a setting module 307 and an installation module 308.

[0156] The setting module 307 is configured to set a corresponding target pressure gauge for each gas chamber of the GIS, where the target pressure gauge is configured to monitor the gas pressure in the gas chamber.

[0157] The installation module 308 is configured to install at least one target edge computing device in the indoor equipment where the GIS is located based on the number of target pressure gauges.

[0158] In a possible design, the pressure gauge inspection device based on edge computing 300 further includes a computing module 309 and a verification module 310.

[0159] The computing module 309 is configured to calculate a first hash value of the inspection image and / or the inspection data, and recalculate a second hash value of the inspection image and / or the inspection data based on a preset time interval.

[0160] The verification module 310 is configured to compare the first hash value with the second hash value to perform periodic hash verification on the inspection image and / or the inspection data.

[0161] The determining module 303 is further configured to determine a storage duration of the inspection image and / or the inspection data in the target edge computing device.

[0162] The sending module 302 is further configured to send the inspection image and / or the inspection data to the target cloud computing center if the storage duration is greater than or equal to a preset duration.

[0163] The pressure gauge inspection device based on edge computing provided by the embodiments of the present application can be used to execute the pressure gauge inspection method based on edge computing in any of the above embodiments, and has similar implementation principles and technical effects, which will not be described here again.

[0164] It should be noted that the division of each module of the above device is only a logical division of functions, and all or part of the modules can be integrated into one physical entity or physically separated when actually implemented. Moreover, all or part of the modules can be integrated together or independently implemented. The processing element described herein can be an integrated circuit having a signal processing capability. In the implementation process, each step of the above method or each module can be completed by the integrated logic circuit of the hardware in the processor element or the instruction in the form of software.

[0165] Figure 4 The structure schematic diagram of the electronic device provided by the embodiments of the present application is shown in the figure. Figure 4 As shown in the figure, the electronic device can include a transceiver 41, a processor 42, and a memory 43.

[0166] The processor 42 executes the computer execution instructions stored in the memory, so that the processor 42 executes the scheme in the above embodiments. The processor 42 can be a general-purpose processor, including a central processing unit CPU, a network processor NP, etc.; it can also be a digital signal processor DSP, an application-specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component.

[0167] The memory 43 is connected with the processor 42 through a system bus and completes mutual communication, and the memory 43 is used to store computer program instructions.

[0168] The transceiver 41 can be used for communication interaction with other devices.

[0169] The system bus can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus or the like. The system bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in the figure, but it does not mean that there is only one bus or only one type of bus. The transceiver is used to realize the communication between the database access device and other computers (such as clients, read-write libraries and read-only libraries). The memory can include random access memory (RAM) and can also include non-volatile memory.

[0170] The electronic device provided by the embodiments of the present application can be used to execute the method provided by any of the above embodiments, and has similar implementation principles and technical effects, which will not be described here.

[0171] The embodiments of the present application also provide a computer readable storage medium, which stores computer instructions, and when the computer instructions are executed on a computer, the computer executes the method provided by any of the above embodiments.

[0172] The embodiments of the present application also provide a computer program product, which includes a computer program stored in a computer readable storage medium, and at least one processor can read the computer program from the computer readable storage medium, and when the at least one processor executes the computer program, the method provided by any of the above embodiments can be implemented.

[0173] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and actual implementation can have another division manner, for example, a plurality of modules can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed modules can be indirect coupling or communication connection through some interfaces, devices or modules, and can be electrical, mechanical or other forms.

[0174] The modules described as separate components can or can not be physically separated, and the components shown as modules can or can not be physical units, that is, they can be located in one place, or they can be distributed on a plurality of network units. According to actual needs, some or all of the modules can be selected to implement the embodiments of the present application.

[0175] In addition, each functional module in each embodiment of the present application can be integrated in one processing unit, or each module can be physically present alone, or two or more modules can be integrated in one unit. The above-mentioned modules can be realized in the form of hardware or in the form of hardware plus software functional modules.

[0176] The integrated modules realized in the form of software functional modules can be stored in a computer readable storage medium. The software functional modules stored in a storage medium include a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute part of the steps of the method of each embodiment of the present application.

[0177] It should be understood that the above-mentioned processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. The steps of the method disclosed in the present application can be directly embodied as hardware processor execution or executed by a combination of hardware and software modules in the processor.

[0178] The memory can include a high-speed RAM memory, and can also include a non-volatile storage NVM, for example at least one disk memory, and can also be a U disk, a mobile hard disk, a read-only memory, a magnetic disk or an optical disk, etc.

[0179] The bus can be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, the bus in the drawings of the present application does not limit to only one bus or one type of bus.

[0180] The aforementioned storage medium can be realized by any type of volatile or nonvolatile storage devices or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk. The storage medium can be any available medium that can be accessed by a general or special purpose computer.

[0181] An exemplary storage medium is coupled to the processor so that the processor can read information from, and write information to, the storage medium. Of course, the storage medium can be a part of the processor. The processor and the storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the storage medium can be located in a remote terminal or a host computer.

[0182] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware. The aforementioned program can be stored in a computer readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes ROM, RAM, magnetic disk or optical disk and various storage media that can store program codes.

[0183] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the above embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. An edge-computing-based pressure gauge tour method, characterized by, The method comprises the following steps: taking a meter image of a target pressure meter, and sending the meter image to a target edge computing device; based on the target edge computing device, analyzing the meter image to determine a to-be-inspected pressure meter that needs to be inspected; wherein the target pressure meter comprises the to-be-inspected pressure meter; based on the installation position of the to-be-inspected pressure meter, determining a target inspection route, and based on the target inspection route, inspecting the to-be-inspected pressure meter to obtain an inspection image and inspection data of the to-be-inspected pressure meter; sending the inspection image and / or the inspection data to the target edge computing device to generate an inspection report at the target edge computing device, and sending the inspection report to a target cloud computing center in communication with the target edge computing device.

2. The method of claim 1, wherein, The step of based on the target inspection route, inspecting the to-be-inspected pressure meter to obtain an inspection image and inspection data of the to-be-inspected pressure meter comprises the following steps: issuing the target inspection route to an indoor drone airport; wherein the indoor drone airport is located in an indoor equipment room where the to-be-inspected pressure meter is located, and the indoor equipment room represents a room where the to-be-inspected pressure meter is placed; controlling a drone of the indoor drone airport to take an inspection image of the to-be-inspected pressure meter at an inspection point indicated by the target inspection route; identifying a first pressure meter reading contained in the inspection image, and determining the first pressure meter reading as the inspection data.

3. The method of claim 1, wherein, The step of sending the inspection image and / or the inspection data to the target edge computing device comprises the following steps: if the inspection data is within a preset normal range, sending the inspection data to the target edge computing device; if the inspection data is not within the preset normal range, sending the inspection image and the inspection data to the target edge computing device; if the inspection data is not identified based on the inspection image, sending the inspection image to the target edge computing device.

4. The method of claim 1, wherein, The step of based on the target edge computing device, analyzing the meter image to determine a to-be-inspected pressure meter that needs to be inspected comprises the following steps: based on the target edge computing device, identifying a second pressure meter reading contained in the meter image; if the second pressure meter reading meets a preset inspection requirement, determining the target pressure meter as the to-be-inspected pressure meter that needs to be inspected.

5. The method of claim 4, wherein, The method further comprises the following steps: if the target pressure meter identified based on the target edge computing device meets a preset fault state, determining the target pressure meter as the to-be-inspected pressure meter that needs to be inspected; if a fault alarm signal sent by the target pressure meter is received based on the target edge computing device, determining the target pressure meter as the to-be-inspected pressure meter that needs to be inspected.

6. The method of claim 1, wherein, Before the step of taking a meter image of a target pressure meter, the method further comprises the following steps: Determine a gas insulated switchgear GIS to be monitored, and for each gas chamber of the GIS, set a corresponding target pressure gauge; wherein the target pressure gauge is used to monitor the gas pressure in the gas chamber; Based on the number of target pressure gauges, install at least one target edge computing device between the chamber equipment where the GIS is located.

7. The method according to any one of claims 1 to 6, characterized in that, The method further comprises: Calculate a first hash value of the patrol image and / or the patrol data; based on a preset time interval, recalculate a second hash value of the patrol image and / or the patrol data; compare the first hash value with the second hash value to perform periodic hash verification on the patrol image and / or the patrol data; Determine the storage duration of the patrol image and / or the patrol data at the target edge computing device; if the storage duration is greater than or equal to a preset duration, send the patrol image and / or the patrol data to the target cloud computing center.

8. An edge computing based pressure gauge walking device, characterized by, Comprise: A shooting module for shooting a gauge image for a target pressure gauge; A sending module for sending the gauge image to a target edge computing device; A determination module for analyzing the gauge image based on the target edge computing device to determine a to-be-patrolled pressure gauge that needs to be patrolled; wherein the target pressure gauge includes the to-be-patrolled pressure gauge; The determination module is also used to determine a target patrol route based on the installation position of the to-be-patrolled pressure gauge; A patrol module for patrolling the to-be-patrolled pressure gauge based on the target patrol route to obtain a patrol image and patrol data of the to-be-patrolled pressure gauge; The sending module is also used to send the patrol image and / or the patrol data to the target edge computing device to generate a patrol report at the target edge computing device; and send the patrol report to a target cloud computing center in communication with the target edge computing device.

9. An electronic device, comprising: Comprise: A processor, and a memory in communication with the processor; The memory stores computer execution instructions; The processor executes the computer execution instructions stored in the memory to implement the edge computing-based pressure gauge patrol method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer execution instructions, and the computer execution instructions are executed by the processor to implement the edge computing-based pressure gauge patrol method according to any one of claims 1 to 7.

Images