A method and system for automatically labeling low-voltage power distribution safety operation specifications

Abstract

A method for automatically labeling the safety standards of low-voltage power distribution operations includes the following steps: Step S1: Obtaining a power distribution operation screen and inputting the screen into a recognition model; Step S2: The recognition model identifies the worker and their work status based on the power distribution operation screen, wherein the work status includes the worker's position and clothing; Step S3: Obtaining a risk score for the current worker based on their work status, and determining the worker's risk level based on the risk score falling within a preset level range; and assigning a risk level to the worker's vicinity in the power distribution operation screen. The recognition model of the present invention, based on advanced algorithms and technologies, can accurately identify key information such as the worker's position and clothing, reducing errors that may be introduced by manual observation. This allows for proactive preventive measures, reduces the likelihood of accidents, and improves operational safety.

Description

Technical Field

[0001] The present invention relates to the field of image recognition technology, and in particular to a method and system for automatically labeling low-voltage power distribution safety operation specifications. Background Art

[0002] Low-voltage distribution systems are a vital component of my country's power system and are widely used. In recent years, my country's rapid economic development has led to a continuous increase in electricity consumption across all industries, leading to an even wider application of low-voltage distribution systems. To ensure safe use of low-voltage distribution systems, it is important to carefully understand their anti-electric shock protection methods, such as double grounding, protective earthing, and protective grounding. Considering the system's grounding types, relevant safety features should be implemented to fully leverage the advantages of low-voltage distribution systems and protect human life. In light of this, this article analyzes and discusses the safe use of low-voltage distribution systems. Low-voltage switchgear operates in complex environments and is used frequently, leading to frequent failures in actual operation. Grid operators and maintenance personnel must promptly troubleshoot these issues to ensure electricity supply to residents and businesses. In actual operation and maintenance, the varying age of low-voltage switchgear presents certain risks in low-voltage operations.

[0003] While there are relatively comprehensive technical regulations governing power distribution personnel's safe operating practices, some still ignore or even disregard safety regulations, performing dangerous distribution operations. This behavior significantly increases the risk of these operations. To mitigate these irregularities, many companies still rely on monitoring equipment to ensure safe operations. However, this method is highly labor-intensive and resource-intensive, requiring personnel to carefully observe the footage for extended periods of time. This strains monitoring personnel's mental state and hinders the detection of potential risks. Summary of the Invention

[0004] In view of the above-mentioned defects, the purpose of the present invention is to propose a method and system for automatic labeling of low-voltage distribution safety operation norms, so as to realize automatic monitoring of risk levels, reduce the possibility of accidents, and improve operation safety.

[0005] To achieve this purpose, the present invention adopts the following technical solution: a method for automatically labeling the safety operation specifications of low-voltage power distribution, comprising the following steps:

[0006] Step S1: obtaining a power distribution operation screen and inputting the power distribution operation screen into a recognition model;

[0007] Step S2: The recognition model identifies the worker and the working status according to the power distribution operation screen, wherein the working status includes the position of the worker and the clothing of the worker;

[0008] Step S3: Obtain the risk score of the current staff member based on the staff member's work status, and obtain the staff member's risk level based on the preset level range within which the risk score falls;

[0009] In the power distribution operation screen, risk levels are assigned to areas near workers.

[0010] Preferably, before executing step S1, the following steps need to be executed:

[0011] Obtain image data of clothing, hard hats, insulating gloves, bamboo ladders, tool boxes, and workers, and use annotation software to generate different datasets;

[0012] Performing an enhancement operation on the data set to obtain a first data set;

[0013] The first data set is input into the YOLOV9 neural network for training to obtain a trained recognition model.

[0014] Preferably, the risk score in step S3 includes a height work score, a clothing score, a safety helmet score, and an insulating glove score.

[0015] Preferably, the climbing work score is obtained as follows:

[0016] Identify bamboo ladders in the power distribution operation image and determine whether the number of bamboo ladders is greater than two. If so, perform image segmentation to crop the detection image containing only a single bamboo ladder. If not, use the power distribution operation image as the detection image.

[0017] Determine whether the height of the bamboo ladder in the detection image is greater than a threshold. If it is greater than the height threshold, assign a value to the height parameter. If it is not greater than the height threshold, do not assign a value to the height parameter.

[0018] Obtain the working conditions of workers climbing bamboo ladders, including the height of the workers, whether they are wearing safety gear, whether they have power distribution tools, and hand information;

[0019] Calculating the climbing work score according to the working conditions and height parameters;

[0020] The calculation formula for the climbing work score is as follows:

[0021]

[0022] Among them, ω1, ω2, ω3, and ω4 are the project weights respectively, h is the height parameter, when assigned, h=1, when not assigned, h=0, F is the safety parameter of the escalator personnel, Z1 is the safety parameter of the climbing height of the staff on the bamboo ladder, Z2 is the safety parameter of whether the staff wears safety measures, Z3 is the safety parameter of whether the staff places the distribution operation tools, Z4 is the safety parameter of the staff's hand distribution, Z1′ is the reference safety parameter for the climbing distance from the top of the ladder, Z2′ is the reference safety parameter for fully implementing safety measures, Z3′ is the reference safety parameter for the correct way to use distribution operation related tools, and Z4′ is the reference safety parameter for using both hands when going up and down the escalator.

[0023] Preferably, the steps for obtaining the work clothes rating are as follows:

[0024] Obtain the working scene of the power distribution operation screen and determine the working scene;

[0025] Determine whether the worker is wearing work clothes and / or reflective clothing. If they are wearing work clothes, assign a value to ε1; if they are wearing reflective clothing, assign a value to ε2;

[0026] Obtain the status of workers wearing work clothes, where the status of work clothes wearing includes wearing work clothes in compliance, wearing work clothes in non-compliance, and being unable to identify whether the work clothes are worn in compliance, and select the corresponding work clothes safety parameter C1 according to the status of workers wearing work clothes;

[0027] The reflective clothing wearing situation of the staff is obtained, where the wearing of work clothes includes wearing type I reflective clothing, wearing type II reflective clothing, wearing type III reflective clothing, and not wearing reflective clothing. The corresponding reflective clothing safety parameter C2 is selected according to the reflective clothing wearing situation of the staff and the work scene;

[0028] The work clothes score is calculated based on the reflective clothing safety parameters, the work clothes safety parameters, ε1 and ε2;

[0029] The calculation formula for the work clothes score is as follows:

[0030]

[0031] When ε1 is assigned a value, ε1 = 1, when ε1 is not assigned a value, ε1 = 0, when ε2 is assigned a value, ε2 = 1, when ε2 is not assigned a value, ε2 = 0;

[0032] C1 is the safety parameter for work clothes, C2 is the safety parameter for reflective clothing, C1′ is the reference safety parameter for wearing work clothes in compliance with regulations, and C2′ is the reference safety parameter for wearing reflective clothing that is suitable for work scenarios.

[0033] Preferably, the steps for obtaining the helmet rating are as follows:

[0034] Obtain the status of workers wearing safety helmets in the power distribution operation screen, and assign a safety parameter K1 to the safety helmet according to the status of wearing safety helmets, where the status of wearing safety helmets includes: not wearing safety helmets, not wearing safety helmets correctly, wearing safety helmets correctly, and being unable to detect whether safety helmets are worn;

[0035] After the helmet is inspected, it is tested to determine whether there are any damage points on the key points of the helmet, and the helmet safety parameter K2 is assigned according to the number of damage points;

[0036] The safety helmet score is calculated based on the safety helmet parameter K1 and the safety helmet parameter K2; wherein the safety helmet score calculation formula is as follows:

[0037]

[0038] in and is the weight coefficient, K1′ is the reference safety parameter for correctly wearing a helmet, and K is the reference safety parameter for an available helmet.

[0039] Preferably, the steps for obtaining the insulating gloves rating are as follows:

[0040] Obtain the wearing status of insulating gloves by workers in the distribution operation screen, and assign a value to the insulating gloves safety parameter M1 according to the wearing status of insulating gloves, wherein the wearing status of insulating gloves includes: not wearing insulating gloves, wearing insulating gloves, and being unable to detect whether gloves are worn;

[0041] After the insulating gloves are inspected, the insulating gloves are tested to determine whether there are any damaged points on the key points of the insulating gloves, and the safety parameter M2 of the insulating gloves is assigned according to the number of damaged points;

[0042] The rating of the safety helmet is calculated based on the insulating glove safety parameter M1 and the insulating glove safety parameter M2; wherein the rating calculation formula of the insulating glove is as follows:

[0043]

[0044] Where τ1 and τ2 are weight coefficients, M1′ is the reference safety parameter for correctly wearing insulating gloves, and M is the reference safety parameter for available insulating gloves.

[0045] Preferably, the risk level is calculated as follows:

[0046] N=e -[α1*δ+α2*γ+α3*μ+α4*θ] ;

[0047] Among them, α1, α2, α3 and α4 are weight factors.

[0048] A low-voltage power distribution safety operation standard automatic labeling system, using the low-voltage power distribution safety operation standard automatic labeling method, comprising an input module, an identification module and a labeling module;

[0049] The input module is used to obtain the power distribution operation picture and input the power distribution operation picture into the recognition model;

[0050] The recognition module is used to use the recognition model to identify the staff and the working status according to the power distribution operation screen;

[0051] The label module is used to obtain the risk score of the current staff member according to the staff member's work status, and obtain the risk level of the staff member according to the preset level range within which the risk score falls;

[0052] In the power distribution operation screen, risk levels are assigned to areas near workers.

[0053] One of the above technical solutions has the following advantages or beneficial effects: The recognition model of the present invention, based on advanced algorithms and technologies, can accurately identify key information such as the worker's location and clothing configuration, reducing errors that may be caused by manual observation. This allows preventive measures to be taken in advance, reducing the possibility of accidents and improving operational safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 is a flow chart of an embodiment of the method of the present invention.

[0055] Figure 2 This is a diagram of the automatic labeling results of a low-voltage power distribution safety operation site in one embodiment of the present invention.

[0056] Figure 3 1 is a schematic diagram of labels for different situations of wearing a helmet in one embodiment of the present invention.

[0057] Figure 4 It is a structural diagram of an embodiment of the system of the present invention. DETAILED DESCRIPTION

[0058] The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention and are not to be construed as limiting the present invention.

[0059] In the description of the embodiments of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the described features. In the description of the embodiments of the present invention, "plurality" means two or more, unless otherwise specifically specified.

[0060] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, "plurality" means two or more. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0061] like Figures 1 to 4 As shown, a method for automatically labeling the safety operation specifications of low-voltage power distribution includes the following steps:

[0062] Step S1: obtaining a power distribution operation screen and inputting the power distribution operation screen into a recognition model;

[0063] Step S2: The recognition model identifies the worker and the working status according to the power distribution operation screen, wherein the working status includes the position of the worker and the clothing of the worker;

[0064] Step S3: Obtain the risk score of the current staff member based on the staff member's work status, and obtain the staff member's risk level based on the preset level range within which the risk score falls;

[0065] In the power distribution operation screen, risk levels are assigned to areas near workers.

[0066] In the present invention, a recognition model is used to identify the power distribution operation screen, wherein the recognition model can be used to identify the workers, the positions of the workers, and the clothing and accessories of the workers in the power distribution operation screen. Because in the power distribution work, the workers are required to wear insulating gloves, safety helmets, work clothes, etc. in accordance with regulations to ensure the safety of the power distribution workers. After the recognition model identifies the working status, it will score the risk of the workers in the screen according to the preset risk scoring standards, and then determine the risk level of the workers based on the value of the risk score, and attach the risk level to the workers in the power distribution operation screen in real time. Figure 2As shown, after the picture is input, the monitoring personnel can determine whether there are staff members who are not wearing the correct clothing in the picture according to the risk level in the picture. Of course, plug-ins can also be added to identify staff members whose risk level is lower than the risk level, and then perform warnings and other operations.

[0067] The recognition model of this invention, based on advanced algorithms and technologies, can accurately identify key information such as the worker's location and clothing configuration, reducing the potential errors caused by manual observation. This allows for proactive preventive measures, reduces the likelihood of accidents, and improves operational safety.

[0068] Preferably, before executing step S1, the following steps need to be executed:

[0069] Obtain image data of clothing, hard hats, insulating gloves, bamboo ladders, tool boxes, and workers, and use annotation software to generate different datasets;

[0070] In one embodiment of the present invention, professional labeling software is used to label historical low-voltage distribution safety operation site images according to the conditions of the detection targets, and generate data sets corresponding to different conditions of different detection targets, such as Figure 3 As shown in the figure, labeling tools can help operators accurately locate and mark targets. By carefully analyzing the inspection images, we ensure that each target area is correctly labeled, thus forming a manually labeled target dataset.

[0071] Performing an enhancement operation on the data set to obtain a first data set;

[0072] The data enhancement operations can be: adding random pixels, Gaussian noise, random rectangular occlusion, random pixel zeroing, salt and pepper noise, animation effects, gradient mask blending, Gaussian blur, motion blur, changing color temperature, adaptive histogram equalization, horizontal flip, vertical flip, equal scaling, unequal scaling, random translation, HSV transformation, perspective transformation, random contrast, edge enhancement, random brightness, maximum pooling, average pooling, random cropping and filling, and other image enhancement methods; the expanded first data set covers a wider range of power distribution safety operation scenarios and work wear conditions. The expanded scenarios are conducive to improving the generalization ability of low-voltage power distribution safety operation standardization detection, so that it can adapt to more different scenarios and optical fibers, and detection tasks under angles. In addition, by adding noisy data images, it is also helpful to improve the noise resistance of model detection.

[0073] The first data set is input into the YOLOV9 neural network for training to obtain a trained recognition model.

[0074] The recognition model described in the present invention is obtained by training the YOLOV9 neural network. YOLOV9 solves problems such as gradient disappearance or gradient saturation while maintaining the original neural network convergence speed and convergence effect.

[0075] Preferably, the risk score in step S3 includes a height work score, a clothing score, a safety helmet score, and an insulating glove score.

[0076] In the present invention, since image data of clothing, hard hats, insulating gloves, bamboo ladders, tool boxes, and workers are added as training data when training the model, the recognition model can accurately identify information such as clothing, hard hats, insulating gloves, bamboo ladders, tool boxes, etc. in the distribution work screen; the identified data can cover all safety behavior norms of distribution workers, thereby comprehensively scoring whether the workers are working safely.

[0077] Preferably, the climbing work score is obtained as follows:

[0078] Identify bamboo ladders in the power distribution operation image and determine whether the number of bamboo ladders is greater than two. If so, perform image segmentation to crop the detection image containing only a single bamboo ladder. If not, use the power distribution operation image as the detection image.

[0079] Determine whether the height of the bamboo ladder in the detection image is greater than a threshold. If it is greater than the height threshold, assign a value to the height parameter. If it is not greater than the height threshold, do not assign a value to the height parameter.

[0080] Obtain the working conditions of workers climbing bamboo ladders, including the height of the workers, whether they are wearing safety gear, whether they have power distribution tools, and hand information;

[0081] Calculating the climbing work score according to the working conditions and height parameters;

[0082] The calculation formula for the climbing work score is as follows:

[0083]

[0084] Among them, ω1, ω2, ω3, and ω4 are the project weights respectively, h is the height parameter, when assigned, h=1, when not assigned, h=0, F is the safety parameter of the escalator personnel, Z1 is the safety parameter of the climbing height of the staff on the bamboo ladder, Z2 is the safety parameter of whether the staff wears safety measures, Z3 is the safety parameter of whether the staff places the distribution operation tools, Z4 is the safety parameter of the staff's hand distribution, Z1′ is the reference safety parameter for the climbing distance from the top of the ladder, Z2′ is the reference safety parameter for fully implementing safety measures, Z3′ is the reference safety parameter for the correct way to use distribution operation related tools, and Z4′ is the reference safety parameter for using both hands when going up and down the escalator.

[0085] In this invention, when calculating the score for equal-height work, workers climbing a single bamboo ladder are included in the scoring. Image segmentation and cropping techniques enable more accurate identification of individual ladders in the image, reducing misjudgments. Once the ladder is identified, its height is determined. A danger only arises when the ladder's height exceeds a threshold. Therefore, the height parameter h is assigned a value only when the ladder's height exceeds the threshold. The scoring criteria for Z1, Z2, Z3, Z4, Z1′, Z2′, Z3′, and Z4′ can be assigned accordingly based on national technical specifications, including the "National Electrical Equipment Safety Technical Specification" GB 19517-2023. Z1, Z2, Z3, and Z4 are automatically assigned based on the worker's height in the work image, whether they are wearing safety gear, whether they have power distribution tools placed, and whether their hands are in contact with the ladder. Z1′, Z2′, Z3′, and Z4′ are fixed values.

[0086] Preferably, the steps for obtaining the work clothes rating are as follows:

[0087] Obtain the working scene of the power distribution operation screen and determine the working scene;

[0088] Determine whether the worker is wearing work clothes and / or reflective clothing. If they are wearing work clothes, assign a value to ε1; if they are wearing reflective clothing, assign a value to ε2;

[0089] Obtain the status of workers wearing work clothes, where the status of work clothes wearing includes wearing work clothes in compliance, wearing work clothes in non-compliance, and being unable to identify whether the work clothes are worn in compliance, and select the corresponding work clothes safety parameter C1 according to the status of workers wearing work clothes;

[0090] The reflective clothing wearing situation of the staff is obtained, where the wearing of work clothes includes wearing type I reflective clothing, wearing type II reflective clothing, wearing type III reflective clothing, and not wearing reflective clothing. The corresponding reflective clothing safety parameter C2 is selected according to the reflective clothing wearing situation of the staff and the work scene;

[0091] The work clothes score is calculated based on the reflective clothing safety parameters, the work clothes safety parameters, ε1 and ε2;

[0092] The calculation formula for the work clothes score is as follows:

[0093]

[0094] When ε1 is assigned a value, ε1 = 1, when ε1 is not assigned a value, ε1 = 0, when ε2 is assigned a value, ε2 = 1, when ε2 is not assigned a value, ε2 = 0;

[0095] C1 is the safety parameter for work clothes, C2 is the safety parameter for reflective clothing, C1′ is the reference safety parameter for wearing work clothes in compliance with regulations, and C2′ is the reference safety parameter for wearing reflective clothing that is suitable for work scenarios.

[0096] When a worker is identified as wearing work clothing, a value is assigned to ε1. In actual work, different reflective clothing is required in different environments. Therefore, the reflective clothing safety parameter C2 is assigned based on the different environments and the reflective clothing worn by the worker. For example, when working in service areas, warehouses, and on factory roads, according to the electrical equipment safety technical specifications, Type I reflective clothing should be worn. If a worker is detected wearing Type I reflective clothing, C2 can be set to 1, and ε2 to 1. If a worker is detected wearing Type II or Type III reflective clothing, C2 can be set to 0.5, and ε2 to 1. If no worker is detected wearing reflective clothing, ε2 can be set to 0.1, and C2 can be set to 0. Similarly, the work clothing safety parameter C1 can also be obtained using this method. C1′ and C2′ are fixed values.

[0097] Preferably, the steps for obtaining the helmet rating are as follows:

[0098] Obtain the status of workers wearing safety helmets in the power distribution operation screen, and assign a safety parameter K1 to the safety helmet according to the status of wearing safety helmets, where the status of wearing safety helmets includes: not wearing safety helmets, not wearing safety helmets correctly, wearing safety helmets correctly, and being unable to detect whether safety helmets are worn;

[0099] After the helmet is inspected, it is tested to determine whether there are any damage points on the key points of the helmet, and the helmet safety parameter K2 is assigned according to the number of damage points;

[0100] The safety helmet score is calculated based on the safety helmet parameter K1 and the safety helmet parameter K2; wherein the safety helmet score calculation formula is as follows:

[0101]

[0102] in and is the weight coefficient, K1′ is the reference safety parameter for correctly wearing a helmet, and K is the reference safety parameter for an available helmet.

[0103] In the present invention, K1′ and K are fixed values, while K1 can be assigned a value based on whether the helmet is worn. For example, when the helmet is not worn, K1 = 0. When the helmet is not worn correctly, K1 = 0.5. When the helmet is worn correctly, K1 = 1. When it is impossible to detect whether the helmet is worn, K1 = 0.25.

[0104] The helmet safety parameter K2 is also assigned a corresponding value according to the number of damage points. For example, when 0 damage points are identified, K2=1; when 1 damage point is identified, K2=0.9, and so on, thereby obtaining the assigned value of the helmet safety parameter K2.

[0105] Preferably, the steps for obtaining the insulating gloves rating are as follows:

[0106] Obtain the wearing status of insulating gloves by workers in the distribution operation screen, and assign a value to the insulating gloves safety parameter M1 according to the wearing status of insulating gloves, wherein the wearing status of insulating gloves includes: not wearing insulating gloves, wearing insulating gloves, and being unable to detect whether gloves are worn;

[0107] After the insulating gloves are inspected, the insulating gloves are tested to determine whether there are any damaged points on the key points of the insulating gloves, and the safety parameter M2 of the insulating gloves is assigned according to the number of damaged points;

[0108] The rating of the safety helmet is calculated based on the insulating glove safety parameter M1 and the insulating glove safety parameter M2; wherein the rating calculation formula of the insulating glove is as follows:

[0109]

[0110] Where τ1 and τ2 are weight coefficients, M1′ is the reference safety parameter for correctly wearing insulating gloves, and M is the reference safety parameter for available insulating gloves.

[0111] In the present invention, M1′ and M are fixed values, while M1 can be assigned a value based on the wearing of insulating gloves. For example, when insulating gloves are not worn, M1 = 0. When insulating gloves are not worn correctly, M1 = 0.5. When insulating gloves are worn correctly, M1 = 1. When it is impossible to detect whether insulating gloves are worn, M1 = 0.25.

[0112] The insulating glove safety parameter M2 is also assigned a corresponding value according to the number of damage points. For example, when 0 damage points are identified, M2=1; when 1 damage point is identified, M2=0.9, and so on, thereby obtaining the assignment of the insulating glove safety parameter M2.

[0113] Preferably, the risk level is calculated as follows:

[0114] N=e -[α1*δ+α2*γ+α3*μ+α4*θ] ;

[0115] Among them, α1, α2, α3 and α4 are weight factors.

[0116] A low-voltage power distribution safety operation standard automatic labeling system, using the low-voltage power distribution safety operation standard automatic labeling method, comprising an input module, an identification module and a labeling module;

[0117] The input module is used to obtain the power distribution operation picture and input the power distribution operation picture into the recognition model;

[0118] The recognition module is used to use the recognition model to identify the staff and the working status according to the power distribution operation screen;

[0119] The label module is used to obtain the risk score of the current staff member according to the staff member's work status, and obtain the risk level of the staff member according to the preset level range within which the risk score falls;

[0120] In the power distribution operation screen, risk levels are assigned to areas near workers.

[0121] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative uses of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0122] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for automatically labeling the safety operation of low-voltage power distribution, characterized in that: The steps include: Step S1: Obtain a power distribution operation screen and input the power distribution operation screen into a recognition model, wherein the recognition model is a YOLOV9 neural network; Step S2: The recognition model identifies the worker and the working status according to the power distribution operation screen, wherein the working status includes the position of the worker and the clothing of the worker; Step S3: Obtain the risk score of the current staff member based on the staff member's work status, and obtain the staff member's risk level based on the preset level range within which the risk score falls; Attach risk levels to the vicinity of workers in the power distribution operation screen; The risk score in step S3 includes the height work score, clothing score, safety helmet score, and insulating gloves score; The specific steps for obtaining the climbing work score are as follows: Identify bamboo ladders in the power distribution operation image and determine whether the number of bamboo ladders is greater than two. If so, perform image segmentation to crop a detection image containing only a single bamboo ladder. If not, use the power distribution operation image as the detection image. Determine whether the height of the bamboo ladder in the detection image is greater than a threshold. If it is greater than the height threshold, assign a value to the height parameter. If it is not greater than the height threshold, do not assign a value to the height parameter. Obtain the working conditions of workers climbing bamboo ladders, including the height of the workers, whether they are wearing safety gear, whether they have power distribution tools, and hand information; Calculating the climbing work score according to the working conditions and height parameters; The calculation formula for the climbing work score is as follows: ； in 、 、 、 are the project weights, h is the height parameter, when assigned, h=1, when not assigned, h=0, F is the safety parameter for escalator personnel, Safety parameters for workers climbing height on bamboo ladders, Safety parameters for whether staff wear safety measures, Whether the workers place the safety parameters of the power distribution tools, Safety parameters for staff hand distribution, Refer to the safety parameters for the safe distance from the top of the ladder. To fully implement safety measures, wear reference safety parameters. Refer to the safety parameters for the correct way to use tools related to power distribution operations. Refer to the safety parameters for using a two-handed escalator when going up and down the escalator.

2. A method for automatically labeling the safety operation of low-voltage power distribution according to claim 1, characterized in that: Before executing step S1, you need to perform the following steps: Obtain image data of clothing, hard hats, insulating gloves, bamboo ladders, tool boxes, and workers, and use annotation software to generate different datasets; Performing an enhancement operation on the data set to obtain a first data set; The first data set is input into the YOLOV9 neural network for training to obtain a trained recognition model.

3. The method for automatically labeling the safety operation of low-voltage power distribution according to claim 1 is characterized in that: The steps to obtain a workwear rating are as follows: Obtain the working scene of the power distribution operation screen and determine the working scene; Determine whether the staff are wearing work clothes and / or reflective clothing. If they are wearing work clothes, Assignment, if wearing reflective clothing, then Assignment; Obtain the status of workers wearing work clothes, including whether they are wearing work clothes in compliance, wearing work clothes in non-compliance, or whether they are wearing work clothes in compliance. Then select the corresponding work clothes safety parameters according to the workers' wearing work clothes status. ; The reflective clothing wearing situation of the staff is obtained, where the wearing of work clothes includes wearing type I reflective clothing, wearing type II reflective clothing, wearing type III reflective clothing, and not wearing reflective clothing. The corresponding reflective clothing safety parameters are selected according to the staff wearing reflective clothing and the work scene. ; According to the safety parameters of reflective clothing, safety parameters of work clothes, as well as Calculating and obtaining the work clothes score; The calculation formula for the work clothes score is as follows: ； Among them When assigning a value, =1, when When no value is assigned, =0, when When assigning a value, =1, when When no value is assigned, =0; Safety parameters for work clothes, Safety parameters for reflective clothing. Refer to safety parameters for wearing work clothes in compliance with regulations. Refer to safety parameters for wearing reflective clothing that suits the work scenario.

4. The method for automatically labeling the safety operation of low-voltage power distribution according to claim 1 is characterized in that: The steps to obtain a hard hat rating are as follows: Obtain the status of workers wearing safety helmets in the distribution operation screen, and adjust the safety parameters of the safety helmets according to the status of wearing safety helmets. Assign a value, wherein the wearing of a helmet includes: not wearing a helmet, not wearing a helmet correctly, wearing a helmet correctly, and being unable to detect whether a helmet is worn; After the helmet is inspected, it is tested to determine whether there are any damage points on the key points of the helmet. The safety parameters of the helmet are adjusted according to the number of damage points. Assign a value; According to the safety parameters of the helmet Safety parameters with hard hats Calculate the rating of the helmet; the rating calculation formula of the helmet is as follows: ； in and is the weight coefficient, Refer to the safety parameters for correctly wearing a helmet, and K is the reference safety parameter for an available helmet.

5. The method for automatically labeling the safety operation of low-voltage power distribution according to claim 1 is characterized in that: The steps to obtain an insulating glove rating are as follows: Obtain the situation of workers wearing insulating gloves in the distribution operation screen, and adjust the safety parameters of the insulating gloves according to the situation of wearing insulating gloves. Assigning a value, wherein the wearing of insulating gloves includes: not wearing insulating gloves, wearing insulating gloves, and being unable to detect whether gloves are worn; After the insulating gloves are inspected, they are tested to determine whether there are any damage points on the key points of the insulating gloves. The safety parameters of the insulating gloves are adjusted according to the number of damage points. Assign a value; According to the safety parameters of insulating gloves Safety parameters of insulating gloves Calculate the rating of the safety helmet; the rating calculation formula for the insulating gloves is as follows: ； in and is the weight coefficient, Refer to the safety parameters for correctly wearing insulating gloves, and M is the reference safety parameters for usable insulating gloves.

6. The method for automatically labeling the safety operation of low-voltage power distribution according to claim 1 is characterized in that: The risk level is calculated as follows: ； in 、 、 and are all weight factors.

7. A low-voltage power distribution safety operation standard automatic labeling system, characterized by: A method for automatically labeling safety operation specifications for low-voltage power distribution as claimed in any one of claims 1 to 6, comprising an input module, an identification module and a labeling module; The input module is used to obtain the power distribution operation picture and input the power distribution operation picture into the recognition model; The recognition module is used to use the recognition model to identify the staff and the working status according to the power distribution operation screen; The label module is used to obtain the risk score of the current staff member according to the staff member's work status, and obtain the risk level of the staff member according to the preset level range within which the risk score falls; In the power distribution operation screen, risk levels are assigned to areas near workers.

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