Grounding wire anti-loosening safety control system and method

Abstract

The present invention belongs to the field of electric power safety technology. A grounding wire anti-loosening safety management and control system and method are provided. The method comprises: using a fixed monitoring camera or a mobile monitoring camera to shoot high-definition image data of a target grounding wire clamp at close range, and determining the clamp type of the target grounding wire clamp according to the high-definition image data; determining a number of fixed components according to the clamp type, extracting component appearance features corresponding to each fixed component from the high-definition image data, and inputting the component appearance features into a loosening prediction model to obtain the loosening probability of the target grounding wire clamp; when the loosening probability is higher than the probability threshold, generating and outputting loosening warning information for the target grounding wire clamp. The present invention can automatically extract the component appearance features of the target grounding wire clamp that can be used to analyze the loosening probability, and then use the loosening prediction model to perform a comprehensive analysis of the component appearance features, so as to quickly determine the loosening probability of the target grounding wire clamp, thereby improving the efficiency of grounding wire anti-loosening management.

Description

Technical Field

[0001] The present invention relates to the field of power safety technology, and in particular to a ground wire anti-loosening safety management and control system and method. Background Art

[0002] The main purpose of the grounding wire is to protect personal safety and equipment safety. When an electrical device fails, the grounding wire can guide the fault current to the ground, preventing the device casing from being charged, thereby preventing electric shock accidents. In order to maintain a tight connection between the grounding wire and the conductor, a related grounding wire clamp is required to constrain the grounding wire. However, various factors such as vibration and aging can cause the grounding wire clamp to loosen, which will significantly increase the risk of electric shock.

[0003] The existing technology for automated looseness detection of grounding wire clamps is not sufficient, and a large number of grounding wire clamps still require manual inspection by patrol personnel, resulting in low inspection efficiency and difficulty in meeting actual needs. This technical problem urgently needs to be improved. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a ground wire anti-loosening safety management and control method, system, electronic equipment, computer storage medium and computer program product.

[0005] The present invention provides a grounding wire anti-loosening safety management and control method, the method comprising the following steps: using a fixed monitoring camera or a mobile monitoring camera to shoot high-definition image data of a target grounding wire clamp at a close distance, and determining the clamp type of the target grounding wire clamp according to the high-definition image data; determining a number of fixed components according to the clamp type, extracting component appearance features corresponding to each of the fixed components from the high-definition image data, inputting the component appearance features into a loosening prediction model, and obtaining the loosening probability of the target grounding wire clamp; when the loosening probability is higher than a probability threshold, generating and outputting loosening warning information for the target grounding wire clamp.

[0006] Optionally, the use of a fixed monitoring camera or a mobile monitoring camera to shoot high-definition image data of a target grounding wire clamp at close range includes: acquiring online map data within an inspection area, and determining whether the online map data includes a carrier device of a mobile monitoring camera; if the carrier device is included, controlling the carrier device to go to a corresponding position of the target grounding wire clamp, and using a mobile monitoring camera to shoot the high-definition image data of the target grounding wire clamp at close range; if the carrier device is not included, selecting a fixed monitoring camera closest to the target grounding wire clamp, controlling the fixed monitoring camera to aim at the target grounding wire clamp and gradually increasing the focal length to achieve close-range shooting of the high-definition image data of the target grounding wire clamp.

[0007] Optionally, determining the wire clamp type of the target grounding wire clamp based on the high-definition image data includes: identifying the target grounding wire clamp based on the high-definition image data, and extracting regional high-definition image data corresponding to the target grounding wire clamp from the high-definition image data, wherein the regional high-definition image data includes the target grounding wire clamp, a grounding wire, and a conductive wire; performing similarity analysis between the regional high-definition image data and template image data of various types of preset grounding wire clamps in a database, and determining the type of the preset grounding wire clamp corresponding to the hit template image data as the wire clamp type of the target grounding wire clamp.

[0008] Optionally, the method of determining a plurality of fixed components according to the wire clamp type and extracting component appearance features corresponding to each of the fixed components from the high-definition image data includes: obtaining the fixed components for constraining the grounding wire by looking up a table according to the wire clamp type, identifying each of the fixed components from the high-definition image data, and extracting a first component appearance feature corresponding to each of the fixed components, as well as a second component appearance feature corresponding to the grounding wire and a third component appearance feature corresponding to the conductive wire.

[0009] Optionally, the inputting the component appearance feature into the loosening prediction model to obtain the loosening probability of the target grounding wire clamp includes: inputting the first component appearance feature, the second component appearance feature, and the third component appearance feature into the loosening prediction model, using the main model of the loosening prediction model to predict and analyze the first component appearance feature to obtain a first loosening probability of the target grounding wire clamp; using the auxiliary model of the loosening prediction model to predict and analyze the second component appearance feature and the third component appearance feature to obtain a loosening auxiliary judgment coefficient; multiplying the loosening auxiliary judgment coefficient by the first loosening probability to obtain a second loosening probability, and using the second loosening probability as the loosening probability of the target grounding wire clamp.

[0010] Optionally, the main model of the looseness prediction model is trained by the BERT large model, and during the training process, the BERT large model is locally trained using small sample level training data; each piece of training data includes component appearance features of the grounding wire clamp, the type of the grounding wire clamp and label data, and the label data is used to represent the loosening probability of the grounding wire clamp.

[0011] The present invention also provides a grounding wire anti-loosening safety management and control system, the system includes a processing module and a computer storage medium, the processing module calls and runs the computer program in the computer storage medium to implement the following steps: using a fixed monitoring camera or a mobile monitoring camera to shoot high-definition image data of a target grounding wire clamp at close range, and determining the wire clamp type of the target grounding wire clamp according to the high-definition image data; determining a number of fixed components according to the wire clamp type, extracting component appearance features corresponding to each of the fixed components from the high-definition image data, and inputting the component appearance features into a loosening prediction model to obtain the loosening probability of the target grounding wire clamp; when the loosening probability is higher than a probability threshold, generating and outputting loosening warning information for the target grounding wire clamp.

[0012] The present invention also provides an electronic device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the computer program implements the method described in any of the preceding items when executed by the processor.

[0013] The present invention also provides a computer storage medium storing a computer program executable by a processor to implement any of the methods described above.

[0014] The present invention also provides a computer program product, which includes a computer program that can be executed by a processor to implement any of the methods described above.

[0015] The beneficial effect of the present invention is that the scheme of the present invention can automatically extract the component appearance features of the target grounding wire clamp that can be used to analyze the loosening probability through image recognition technology, and then use the pre-built loosening prediction model to conduct a comprehensive analysis of the component appearance features, so as to quickly determine the loosening probability of the target grounding wire clamp, thereby making an accurate decision on whether to perform an alarm process, and significantly improving the efficiency of grounding wire anti-loosening management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of a ground wire anti-loosening safety management and control method disclosed in an embodiment of the present invention.

[0018] Figure 2It is a structural schematic diagram of the looseness prediction model disclosed in an embodiment of the present invention.

[0019] Figure 3 It is a structural schematic diagram of a ground wire anti-loosening safety management and control system disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following is a description of the implementation of the present application by specific specific embodiments. People familiar with the technology can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0021] In addition, the technical features involved in the different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0022] like Figure 1 As shown, an embodiment of the present invention discloses a grounding wire anti-loosening safety management method, the method comprising the following steps: using a fixed monitoring camera or a mobile monitoring camera to shoot high-definition image data of a target grounding wire clamp at a close distance, and determining the clamp type of the target grounding wire clamp according to the high-definition image data; determining a number of fixed components according to the clamp type, extracting component appearance features corresponding to each of the fixed components from the high-definition image data, inputting the component appearance features into a loosening prediction model, and obtaining the loosening probability of the target grounding wire clamp; when the loosening probability is higher than a probability threshold, generating and outputting loosening warning information for the target grounding wire clamp.

[0023] In order to improve the efficiency of safety management of grounding wire loosening prevention, the present invention uses a fixed monitoring camera or a mobile monitoring camera to take close-up photos of each target grounding wire clamp in the area, so as to obtain high-definition image data of the target grounding wire clamp. The clamp type of the target grounding wire clamp can be determined based on the high-definition image data. Different types of grounding wire clamps fix the grounding wire and the conductive wire in different ways, and the corresponding fixed parts are also different. Then, the appearance features of the components corresponding to each fixed part are extracted from the high-definition image data, and the extracted appearance features of the components are deeply analyzed using a loosening prediction model to obtain the loosening probability of the target grounding wire clamp predicted by the model. When the loosening probability is higher than the probability threshold, it indicates that the target grounding wire clamp has signs of loosening. At this time, loosening warning information for the target grounding wire clamp is generated and output to prompt maintenance personnel to perform maintenance operations such as tightening or replacing the grounding wire clamp in time.

[0024] Therefore, the solution of the present invention can automatically extract the component appearance features of the target grounding wire clamp that can be used to analyze the loosening probability through image recognition technology, and then use the pre-built loosening prediction model to comprehensively analyze the component appearance features, so as to quickly determine the loosening probability of the target grounding wire clamp, thereby making an accurate decision on whether to perform an alarm process, and significantly improving the efficiency of grounding wire anti-loosening management.

[0025] Optionally, the use of a fixed monitoring camera or a mobile monitoring camera to shoot high-definition image data of a target grounding wire clamp at close range includes: acquiring online map data within an inspection area, and determining whether the online map data includes a carrier device of a mobile monitoring camera; if the carrier device is included, controlling the carrier device to go to a corresponding position of the target grounding wire clamp, and using a mobile monitoring camera to shoot the high-definition image data of the target grounding wire clamp at close range; if the carrier device is not included, selecting a fixed monitoring camera closest to the target grounding wire clamp, controlling the fixed monitoring camera to aim at the target grounding wire clamp and gradually increasing the focal length to achieve close-range shooting of the high-definition image data of the target grounding wire clamp.

[0026] In this embodiment, since the mobile monitoring camera can be moved to a closer distance to the target grounding wire clamp for shooting, compared with the fixed monitoring camera, the high-definition image data captured by it will contain more image details, which is conducive to accurately identifying the loose probability of the target grounding wire clamp. However, there may be no mobile monitoring camera around the location of the target grounding wire clamp.

[0027] In view of the above actual situation, the present invention transmits the real-time status information of the mobile monitoring camera and the fixed monitoring camera to the online map data. The online map data contains the layout positions of each fixed monitoring camera and the real-time upload position of the carrier device of the mobile monitoring camera. Based on the online map data, it can be judged whether there is a carrier device of the mobile monitoring camera in the inspection area where the target grounding wire clamp is located. If there is a carrier device, it is preferred to use a mobile monitoring camera to shoot the above high-definition image data, that is, control the carrier device to go to the corresponding position of the target grounding wire clamp, and use the mobile monitoring camera to shoot the high-definition image data of the target grounding wire clamp at close range. If there is no carrier device, it can only be shot by a fixed monitoring camera. Since the fixed monitoring camera is generally farther away than the mobile monitoring camera, the fixed monitoring camera closest to the target grounding wire clamp is first selected, and then the fixed monitoring camera is controlled to aim at the target grounding wire clamp and gradually increase the focal length, that is, the "close-up" high-definition image data of the target grounding wire clamp is shot with a long focal length. In addition, if there is no fixed monitoring camera in the inspection area or the fixed monitoring camera is too far away, the carrier device adjacent to the inspection area can be dispatched.

[0028] It should be noted that fixed monitoring cameras refer to various types of cameras installed in the inspection area, which can be dedicated to electrical equipment monitoring or cameras for other purposes, and the present invention does not specifically limit this. Mobile monitoring cameras are arranged on a carrier device, which can be a robot dedicated to electrical equipment inspection, including wheeled, foot-type, and crawler-type robots. The robot can perform close-range inspections of electrical equipment including grounding clamps in the inspection area according to preset programs or dispatch instructions.

[0029] Optionally, determining the wire clamp type of the target grounding wire clamp based on the high-definition image data includes: identifying the target grounding wire clamp based on the high-definition image data, and extracting regional high-definition image data corresponding to the target grounding wire clamp from the high-definition image data, wherein the regional high-definition image data includes the target grounding wire clamp, a grounding wire, and a conductive wire; performing similarity analysis between the regional high-definition image data and template image data of various types of preset grounding wire clamps in a database, and determining the type of the preset grounding wire clamp corresponding to the hit template image data as the wire clamp type of the target grounding wire clamp.

[0030] In this embodiment, first, the target grounding wire clamp is identified in the captured high-definition image data. Since the two ends of the target grounding wire clamp are wires and grounding wires, the target grounding wire clamp itself is relatively prominent and has a low identification difficulty. Then, based on the target grounding wire clamp as a reference, regional high-definition image data that includes the target grounding wire clamp, the grounding wire at the lower end of the target grounding wire clamp, and the conductive wire at the upper end of the target grounding wire clamp is intercepted from the high-definition image data. At the same time, a plurality of types of preset grounding wire clamps are pre-stored in the database, and corresponding template image data are configured for them. The template image data is used to describe the typical structure of the corresponding type of grounding wire clamp. The regional high-definition image data and the template image data of each preset grounding wire clamp are similarly analyzed to obtain the hit template image data, and the type of the preset grounding wire clamp corresponding to the hit template image data is determined as the clamp type of the target grounding wire clamp. The method of determining the clamp type of the target grounding wire clamp by performing similarity analysis based on the image is significantly more efficient than the method of directly extracting features, analyzing, and determining the clamp type of the high-definition image data.

[0031] It should be noted that, since the template image data of some preset grounding wire clamps in the database may not only contain the image of the grounding wire clamp itself, but also contain the images of the grounding wire and the conductive wire, it represents the image after the grounding wire clamp fixes the grounding wire and the conductive wire. Therefore, in order to improve the accuracy of the hit, the present invention is set to include the images of the grounding wire and the conductive wire in the high-definition image data of the area captured.

[0032] Optionally, the method of determining a plurality of fixed components according to the wire clamp type and extracting component appearance features corresponding to each of the fixed components from the high-definition image data includes: obtaining the fixed components for constraining the grounding wire by looking up a table according to the wire clamp type, identifying each of the fixed components from the high-definition image data, and extracting a first component appearance feature corresponding to each of the fixed components, as well as a second component appearance feature corresponding to the grounding wire and a third component appearance feature corresponding to the conductive wire.

[0033] In this embodiment, the grounding wire clamp includes a spiral grounding wire clamp, a duck tongue type (double tongue tension type) grounding wire clamp, etc. The spiral grounding wire clamp relies on bolts to adjust the tightness to achieve the constraint of the grounding wire, and the bolts and nuts are its fixing parts; the duck tongue type (double tongue tension type) grounding wire clamp relies on a tongue piece to fix and constrain the grounding wire, and the tongue piece is its fixing part. The fixing parts and their significant features of various types of grounding wire clamps are determined in advance, and a comparison table is constructed. According to the determined wire clamp type, the various fixing parts used to constrain the grounding wire can be obtained by looking up the table. Then, the appearance features of the first parts corresponding to each fixing part are extracted from the high-definition image data. The appearance characteristics of the first component also vary depending on the type of grounding wire clamp. For example, the appearance characteristics of the first component corresponding to the spiral grounding wire clamp are mainly the visible length of the threads on each bolt. The larger the visible length, the more obvious the signs of loosening of the bolts. When the visible lengths of the threads of multiple bolts are all long, it indicates that loosening and slipping are about to occur (when tightly connected, the threads of the bolts are basically in the metal matrix sheet, and the visible length is 0 or very small, and when the bolts are loose, the visible length will gradually increase). The appearance characteristics of the first component corresponding to the duck tongue type (double tongue tensioning type) grounding wire clamp are mainly the distance between the grounding wire and the conductive wire clamped by the two tongues and the arc-shaped top end of the grounding wire clamp body. The larger the distance, the more obvious the signs that the grounding wire and the conductive wire are likely to slip out of the clamping area of ​​the two tongues, and the smaller the distance, the less obvious the signs.

[0034] At the same time, in addition to analyzing the "tightness" of the grounding wire clamp itself, the loosening probability of the grounding wire also needs to consider the appearance characteristics of the second component of the grounding wire and the appearance characteristics of the third component of the conductive wire. The second component appearance characteristics and the third component appearance characteristics can be used to analyze the relative state of the grounding wire and the conductive wire, and the relative state is used to characterize the "tightness" between the grounding wire and the conductive wire. Combining the above-mentioned first component appearance characteristics, second component appearance characteristics, and third component appearance characteristics can more accurately analyze the loosening probability of the target grounding wire clamp.

[0035] Optionally, the inputting the component appearance feature into the loosening prediction model to obtain the loosening probability of the target grounding wire clamp includes: inputting the first component appearance feature, the second component appearance feature, and the third component appearance feature into the loosening prediction model, using the main model of the loosening prediction model to predict and analyze the first component appearance feature to obtain a first loosening probability of the target grounding wire clamp; using the auxiliary model of the loosening prediction model to predict and analyze the second component appearance feature and the third component appearance feature to obtain a loosening auxiliary judgment coefficient; multiplying the loosening auxiliary judgment coefficient by the first loosening probability to obtain a second loosening probability, and using the second loosening probability as the loosening probability of the target grounding wire clamp.

[0036] In this embodiment, if Figure 2 As shown, the looseness prediction model in the present invention includes a main model and an auxiliary model. After receiving the input appearance features of the first component, the appearance features of the second component, and the appearance features of the third component, the main model first performs an in-depth prediction analysis on the appearance features of the first component of the grounding wire clamp itself to obtain the first loosening probability of the target grounding wire clamp. Then, the auxiliary model performs a prediction analysis on the appearance features of the second component and the appearance features of the third component to obtain a looseness auxiliary judgment coefficient, which is the aforementioned relative state of the grounding wire and the conductive wire used to characterize the "tightness" between the grounding wire and the conductive wire. The larger the predicted looseness auxiliary judgment coefficient is, the tighter the grounding wire and the conductive wire are, the greater the pulling force between the two is, and it is more likely to cause looseness at the grounding wire clamp. At this time, the looseness auxiliary judgment coefficient (for example, 1.2) is set to adjust the aforementioned first loosening probability to a larger second loosening probability to improve the sensitivity of the loosening warning; the smaller the looseness auxiliary judgment coefficient is, the looser the grounding wire and the conductive wire are, the smaller the pulling force between the two is, and it is less likely to cause looseness at the grounding wire clamp. At this time, the looseness auxiliary judgment coefficient (for example, 1.0) is set to adjust the aforementioned first loosening probability to a smaller second loosening probability to appropriately reduce the sensitivity of the loosening warning. Therefore, by considering the loosening signs of the grounding wire clamp itself and the "tightness" between the grounding wire and the conductive wire at the same time to comprehensively predict the probability of loosening at the grounding wire clamp, the early warning for looseness can be made more accurate, and the probability of unnecessary increase in maintenance workload caused by false alarms can be reduced. Among them, the looseness auxiliary judgment coefficient can be a value greater than or equal to 1.

[0037] Among them, whether the grounding wire and the conductive wire are "tight" or "loose" is mainly determined by the degree of droop and the swing amplitude (caused by wind) of the wire between the two. The higher the droop or the larger the swing amplitude, the more "loose" the two are, and vice versa. Since the grounding wire is mostly a rigid column structure, the degree of droop is mainly based on the conductive wire. Based on the above rules, a number of real-life connection pictures involving the conductive wire and the grounding wire are collected (which can be a set of continuous frame pictures, which is conducive to extracting the swing amplitude), and the loose auxiliary judgment coefficient is calibrated based on the results of manual measurement to form training data for training the auxiliary model. The auxiliary model is preferably constructed based on a graph convolutional neural network, and the construction process of the sub-model is not repeated here.

[0038] Optionally, the main model of the looseness prediction model is trained by the BERT large model, and during the training process, the BERT large model is locally trained using small sample level training data; each piece of training data includes component appearance features of the grounding wire clamp, the type of the grounding wire clamp and label data, and the label data is used to represent the loosening probability of the grounding wire clamp.

[0039] In this embodiment, unlike the aforementioned auxiliary model, the main model in the present invention is derived based on the BERT large model. Specifically, small sample level training data is constructed, and the training data is used to perform local fine-tuning training on the BERT large model, thereby obtaining a main model that can be used to predict the first loosening probability of the target grounding wire clamp.

[0040] like Figure 3 As shown, the present invention also discloses a grounding wire anti-loosening safety management and control system, the system includes a processing module and a computer storage medium, the processing module calls and runs the computer program in the computer storage medium to implement the following steps: using a fixed monitoring camera or a mobile monitoring camera to shoot high-definition image data of a target grounding wire clamp at close range, and determining the clamp type of the target grounding wire clamp according to the high-definition image data; determining a number of fixed components according to the clamp type, extracting component appearance features corresponding to each of the fixed components from the high-definition image data, and inputting the component appearance features into a loosening prediction model to obtain the loosening probability of the target grounding wire clamp; when the loosening probability is higher than a probability threshold, generating and outputting loosening warning information for the target grounding wire clamp.

[0041] The present invention also discloses an electronic device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the computer program implements the method described in any of the preceding items when executed by the processor.

[0042] The present invention also discloses a computer storage medium, which stores a computer program that can be executed by a processor to implement any of the methods described in the preceding items.

[0043] The present invention also discloses a computer program product, which includes a computer program that can be executed by a processor to implement any of the methods described in the preceding items.

[0044] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0045] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0046] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0047] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, audio input, or tactile input).

[0048] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communications network). Examples of communications networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0049] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0050] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A ground wire anti-loosening safety management method, characterized in that: The method comprises the following steps: using a fixed monitoring camera or a mobile monitoring camera to shoot high-definition image data of a target grounding wire clamp at a close distance, and determining the wire clamp type of the target grounding wire clamp according to the high-definition image data; determining a number of fixed components according to the wire clamp type, extracting component appearance features corresponding to each of the fixed components from the high-definition image data, and inputting the component appearance features into a loosening prediction model to obtain the loosening probability of the target grounding wire clamp; when the loosening probability is higher than a probability threshold, generating and outputting loosening warning information for the target grounding wire clamp; Determine a plurality of fixing components according to the type of the wire clamp, and extract component appearance features corresponding to each of the fixing components from the high-definition image data, including: according to the type of the wire clamp, look up a table to obtain the fixing components used to constrain the grounding wire, identify each of the fixing components from the high-definition image data, and extract a first component appearance feature corresponding to each of the fixing components, a second component appearance feature corresponding to the grounding wire, and a third component appearance feature corresponding to the conductive wire; Inputting the component appearance feature into the loosening prediction model to obtain the loosening probability of the target grounding wire clamp includes: inputting the first component appearance feature, the second component appearance feature, and the third component appearance feature into the loosening prediction model, using the main model of the loosening prediction model to predict and analyze the first component appearance feature to obtain a first loosening probability of the target grounding wire clamp; using the auxiliary model of the loosening prediction model to predict and analyze the second component appearance feature and the third component appearance feature to obtain a loosening auxiliary judgment coefficient; multiplying the first loosening probability by the loosening auxiliary judgment coefficient to obtain a second loosening probability, and using the second loosening probability as the loosening probability of the target grounding wire clamp; wherein the loosening auxiliary judgment coefficient is the aforementioned relative state of the grounding wire and the conductive wire for characterizing the "tightness" between the grounding wire and the conductive wire.

2. A ground wire anti-loosening safety management and control method according to claim 1, characterized in that: Using a fixed monitoring camera or a mobile monitoring camera to shoot high-definition image data of a target grounding wire clamp at close range includes: obtaining online map data in an inspection area, and determining whether the online map data includes a carrier device of a mobile monitoring camera; if the carrier device is included, controlling the carrier device to go to a corresponding position of the target grounding wire clamp, and using a mobile monitoring camera to shoot the high-definition image data of the target grounding wire clamp at close range; if the carrier device is not included, selecting a fixed monitoring camera closest to the target grounding wire clamp, controlling the fixed monitoring camera to aim at the target grounding wire clamp and gradually increasing the focal length to achieve close-range shooting of the high-definition image data of the target grounding wire clamp.

3. A ground wire anti-loosening safety management and control method according to claim 2, characterized in that: Determining the wire clamp type of a target grounding wire clamp based on the high-definition image data comprises: identifying the target grounding wire clamp based on the high-definition image data, extracting regional high-definition image data corresponding to the target grounding wire clamp from the high-definition image data, wherein the regional high-definition image data includes the target grounding wire clamp, the grounding wire and the conductive wire; performing similarity analysis between the regional high-definition image data and template image data of various types of preset grounding wire clamps in a database, and determining the type of the preset grounding wire clamp corresponding to the hit template image data as the wire clamp type of the target grounding wire clamp.

4. A ground wire anti-loosening safety management and control method according to claim 1, characterized in that: The main model of the looseness prediction model is trained by the BERT large model, and during the training process, the BERT large model is locally trained using small sample level training data; each piece of training data includes component appearance features of the grounding wire clamp, the type of the grounding wire clamp and label data, and the label data is used to represent the loosening probability of the grounding wire clamp.

5. A ground wire anti-loosening safety management and control system, the system is based on the method described in any one of claims 1 to 4; including a processing module and a computer storage medium, characterized in that: The processing module calls and runs the computer program in the computer storage medium to implement the following steps: using a fixed monitoring camera or a mobile monitoring camera to shoot high-definition image data of a target grounding wire clamp at close range, and determining the clamp type of the target grounding wire clamp based on the high-definition image data; determining a number of fixed components based on the clamp type, extracting component appearance features corresponding to each of the fixed components from the high-definition image data, and inputting the component appearance features into a loosening prediction model to obtain a loosening probability of the target grounding wire clamp; when the loosening probability is higher than a probability threshold, generating and outputting loosening warning information for the target grounding wire clamp.

6. An electronic device, characterized in that: The electronic device comprises: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the computer program implements the method according to any one of claims 1 to 4 when executed by the processor.

7. A computer storage medium, characterized in that: The computer storage medium stores a computer program that can be executed by a processor to implement the method according to any one of claims 1 to 4.

8. A computer program product, characterized in that: The computer program product comprises a computer program executable by a processor to implement the method according to any one of claims 1 to 4.

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