Method and system for analyzing complex overhead working scene of power transformation major

Abstract

The invention provides a power transformation major complex high-altitude operation scene analysis method and system, and relates to the field of power transformation high-altitude operation scenes, and the method comprises the steps: analyzing the fault condition of power transformation equipment according to the data of the power transformation equipment, and analyzing the load state of the power transformation equipment according to the high-altitude operation scheduling data; according to the working data of the to-be-evaluated worker, simulating the trajectory change of the operation safety area, dividing the operation safety areas of other workers according to the high-altitude operation scheduling data, judging the overlapping condition of the operation safety areas, analyzing the dangerous condition of the operation, and determining the working safety of the to-be-evaluated worker. According to the method, the danger of the operation is comprehensively analyzed through the overlapping of the working arrangement tracks of the high-altitude operation, the faults of the power transformation equipment and the loads of the power transformation equipment, the safety of the working personnel of the high-altitude operation is guaranteed, and the risk of working arrangement of the high-altitude operation is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of high-altitude operation scenes for power transformation, and in particular to a method and system for analyzing complex high-altitude operation scenes for power transformation. Background Art

[0002] The complex high-altitude work scenarios in power substations mainly involve the installation and maintenance of ultra-high voltage transmission lines, which require high-intensity work on towers and wires that are tens to hundreds of meters high. The working environment is complex and there are high risks. Therefore, in high-altitude operations, scheduling is an important part of ensuring work safety. Scientific and reasonable scheduling can not only improve work efficiency, but also effectively reduce work risks.

[0003] When it comes to scheduling high-altitude work, existing arrangements often only consider a few factors, such as the worker's working hours and tasks, while ignoring the worker's physical condition, work experience, and the comprehensive impact of the work on the substation equipment. For example, the impact of worker weight on equipment load, as well as the differences in safety risks faced by workers with different levels of work experience, are not fully considered. Furthermore, there is a lack of quantitative assessment of the impact of working time and fatigue on work safety, making it difficult to accurately determine whether work arrangements are appropriate, increasing safety risks associated with high-altitude work.

[0004] Current assessments of safe areas for aerial work are primarily based on pre-set, fixed spaces, without fully considering individual differences among workers and the complexity of their work movements. Workers of different weights, levels of work experience, and types of work movements require different safety spaces. For example, experienced workers may require a smaller safety margin when performing certain work movements, while novices require a larger safety margin. Existing assessment methods are unable to provide personalized safety space assessments for each worker, resulting in inaccurate demarcation of safe areas for work, prone to overlapping safety areas, and an increased risk of collisions and interference between workers.

[0005] When assessing the hazards of aerial work, existing methods often focus on a single factor, such as overlap in safe work areas or failures in substation equipment, without comprehensively considering these factors. This single-factor assessment fails to fully reflect the actual level of danger in an operation and can easily lead to misjudgments of operational risk. For example, even if there is no overlap in safe work areas, if substation equipment is operating at high load and has potential failures, the operation still poses a high risk.

[0006] In order to solve the above problems, the present invention provides a method and system for analyzing complex high-altitude operation scenarios in power transformation. Summary of the Invention

[0007] In view of this, the embodiments of the present invention provide a method and system for analyzing complex high-altitude work scenarios in power substations. By comprehensively analyzing the dangers of high-altitude work scheduling trajectories, power substation equipment failures, and power substation equipment loads, the method helps ensure the safety of high-altitude workers and reduces the risks of high-altitude work scheduling. To achieve the above objectives, the embodiments of the present invention provide the following technical solutions: The first aspect of the embodiment of the present invention provides a method for analyzing complex high-altitude operations in a power transformation professional, including the following specific steps: S1. Collect substation equipment data and high-altitude work schedule data, analyze substation equipment failures based on substation equipment data, and analyze substation equipment load status based on high-altitude work schedule data; S2. Collecting the work data of the staff to be evaluated, and simulating the trajectory changes of the work safety area based on the work data of the staff to be evaluated; S3. Divide the work safety zones of other workers based on the high-altitude work schedule data, and determine the overlap of the work safety zones based on the simulated trajectory changes of the work safety zone of the worker to be evaluated and the work safety zones of other workers; S4. Analyze the operation hazard situation based on the overlap of the operation safety area, the failure situation of the substation equipment and the load status of the substation equipment; S5. Determine whether the high-altitude work arrangement complies with regulations based on the work hazards of the staff to be assessed.

[0008] Specifically, S1 includes the following specific steps: Collecting substation equipment data, wherein the substation equipment data includes current data, temperature data, and crack data; Preprocess the current data, temperature data, and crack data, extract the current features, temperature features, and crack features, and input the preprocessed and extracted current data, temperature image, and crack feature vector into a pre-trained substation equipment fault judgment model to obtain the substation equipment failure probability; Collecting high-altitude work scheduling data, including worker weight, working hours, working days, work experience level, work action type, and work route; The load is obtained by multiplying the weight of the workers by the acceleration of gravity. The equipment load ratio is obtained by dividing the total load of the workers by the maximum static load of the substation equipment. The operation time ratio is obtained by dividing the operation time by the maximum allowable single operation time of the substation equipment. The operation fatigue ratio is obtained by the operation fatigue ratio calculation formula, which is: ,in, is the fatigue coefficient, The load impact value is obtained by multiplying the load weight by the equipment load ratio, the time impact value is obtained by multiplying the time weight by the operation time ratio, and the fatigue impact value is obtained by multiplying the fatigue weight by the operation fatigue ratio. The sum of the load impact value, time impact value and fatigue impact value is obtained to obtain the comprehensive load impact value of the substation equipment. The sum of the load weight, time weight and fatigue weight is 1.

[0009] Specifically, S2 includes the following specific steps: Collecting work data of the staff member to be evaluated, wherein the work data of the staff member to be evaluated includes the staff member's weight, work experience level, work action type and work route; Use 3D laser scanning to build a digital model of the work area, perform spatial grid division, input the worker's work route, discretize the path into a coordinate sequence, and obtain the preset work safety space based on the action type corresponding to the coordinate point; Obtain the preset operating safety space, worker weight, and work experience level, obtain a weight correction factor based on the worker weight, obtain a safety margin factor based on the work experience level, and multiply the preset operating safety space by the weight correction factor and then by the safety margin factor to obtain the matched operating safety space. Traverse each coordinate point on the operation route, connect the operation safety space after matching each coordinate point to obtain the operation safety area trajectory.

[0010] Specifically, S3 includes the following specific steps: Obtain the working coordinates of other workers in the same period based on the high-altitude work schedule data, obtain the preset working safety space based on the action type corresponding to the coordinate points of other workers, and obtain the working safety area of ​​other workers based on the preset working safety space, worker weight and work experience level; A three-dimensional grid coordinate system is established for the work area. Starting from the starting point of the work safety area trajectory, each work safety area on the work safety area trajectory is traversed in turn, and the overlapping grid set of the work safety areas of the worker to be evaluated and other workers is output. The overlapping volume is obtained by multiplying the number of overlapping grids by the area of ​​a single grid. The overlapping degree of the work safety area is obtained by dividing the overlapping volume by the volume of the work safety area of ​​the worker to be evaluated at the corresponding coordinates.

[0011] Specifically, the S4 includes the following specific steps: Obtain the distance between the corresponding coordinates of the overlapping area and the substation equipment, and obtain the fault value of the substation equipment under the influence of the overlapping area according to the overlapping influence calculation formula. The overlapping influence calculation formula is: ,in, is the failure probability of the nth substation equipment, is the distance between the overlapping area and the nth substation, is the average distance between the corresponding coordinates of the overlapping area and the substation equipment, is the number of substation equipment; The safety area overlap hazard impact value is obtained by multiplying the safety area overlap weight by the overlap degree of the operation safety area. The substation equipment fault hazard impact value is obtained by multiplying the fault weight by the fault value of the substation equipment under the influence of the overlapping area. The load hazard impact value is obtained by multiplying the comprehensive load weight by the comprehensive load impact value of the substation equipment. The operation hazard value is obtained by summing the safety area overlap hazard impact value, the substation equipment fault hazard impact value and the load hazard impact value. The sum of the safety area overlap weight, the fault weight and the comprehensive load weight is 1.

[0012] Specifically, S5 includes the following specific steps: Whether the high-altitude work arrangement complies with the specifications is judged based on the comparison results of the work hazard value of the staff to be evaluated and the work hazard threshold. If the work hazard value of the staff to be evaluated is greater than or equal to the work hazard threshold, the high-altitude work arrangement is judged to be non-compliant with the specifications and a danger warning is issued. If the work hazard value of the staff to be evaluated is less than the work hazard threshold, the high-altitude work arrangement is judged to be compliant with the specifications.

[0013] The second aspect of the embodiment of the present invention shows a system for analyzing complex high-altitude operations in power substations, which is used to implement a method for analyzing complex high-altitude operations in power substations, including: Equipment failure analysis module, used to collect substation equipment data and analyze substation equipment failure conditions based on the substation equipment data; Equipment load analysis module, used to collect high-altitude work scheduling data and analyze the load status of substation equipment based on the high-altitude work scheduling data; The safety trajectory simulation module is used to collect the work data of the personnel to be evaluated and simulate the trajectory changes of the working safety area based on the work data of the personnel to be evaluated; The area overlap judgment module is used to divide the work safety areas of other workers according to the high-altitude work scheduling data, and judge the overlap of the work safety areas based on the simulated trajectory changes of the work safety area of ​​the worker to be evaluated and the work safety areas of other workers; Operation hazard analysis module, used to analyze operation hazard conditions based on the overlap of operation safety areas, substation equipment failure conditions, and substation equipment load conditions; The arrangement specification analysis module is used to determine whether the high-altitude work arrangement complies with the specifications based on the work hazard situation of the staff to be assessed.

[0014] The third aspect of an embodiment of the present invention shows an electronic device, which includes a processor and a memory, wherein the memory is used to store program code and data for analyzing complex high-altitude work scenarios in the substation profession, and the processor is used to call the program instructions in the memory to execute a method for analyzing complex high-altitude work scenarios in the substation profession as shown in the first aspect of the embodiment of the present invention.

[0015] The fourth aspect of an embodiment of the present invention shows a storage medium, which includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute a method for analyzing complex high-altitude work scenarios in a substation as shown in the first aspect of an embodiment of the present invention.

[0016] Based on the above-mentioned embodiment of the present invention, a method and system for analyzing complex high-altitude work scenarios in power substations are provided. The method includes: collecting power substation equipment data and high-altitude work scheduling data, analyzing power substation equipment failure conditions based on the power substation equipment data, analyzing power substation equipment load conditions based on the high-altitude work scheduling data, collecting work data of staff to be evaluated, simulating trajectory changes of work safety areas based on the work data of staff to be evaluated, dividing work safety areas of other staff according to the high-altitude work scheduling data, judging the overlap of work safety areas based on the simulated trajectory changes of work safety areas of staff to be evaluated and work safety areas of other staff, analyzing work danger conditions based on the overlap of work safety areas, power substation equipment failure conditions and power substation equipment load conditions, and judging whether the high-altitude work arrangement complies with the specifications based on the work danger conditions of staff to be evaluated. The present invention comprehensively analyzes the danger of work through the overlap of high-altitude work scheduling trajectories, power substation equipment failures and power substation equipment loads, which is beneficial to ensuring the safety of high-altitude workers and reducing the risks of high-altitude work scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0018] Figure 1 This is a flow chart of a method for analyzing complex high-altitude operations in power substations according to an embodiment of the present invention; Figure 2 This is a flow chart of a method S1 for analyzing complex high-altitude operations in a power transformation professional according to an embodiment of the present invention; Figure 3This is a flow chart of a method S2 for analyzing complex high-altitude operations scenarios for power substations according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of a complex high-altitude operation scenario analysis system for power transformation professionals according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] The terms "first," "second," "third," "fourth," and the like in the specification and claims of the present invention and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to the process, method, product, or apparatus.

[0021] It should be noted that the descriptions of "first," "second," etc. in the present invention are for descriptive purposes only and should not be understood as indicating or implying their relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features specified as "first" or "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions of the various embodiments may be combined with each other, but this must be based on the fact that they can be implemented by a person of ordinary skill in the art. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0022] In the present invention, the terms "comprises," "comprising," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0023] See also Figure 1 The present invention provides an embodiment of a method for analyzing complex high-altitude operation scenarios in power transformation, which includes the following specific steps: S1. Collect substation equipment data and high-altitude work schedule data, analyze substation equipment failures based on substation equipment data, and analyze substation equipment load status based on high-altitude work schedule data; See also Figure 2 In this embodiment, S1 includes the following specific steps: Collect substation equipment data, including current data, temperature data, and crack data; During the specific implementation of this embodiment, current monitoring points are pre-set at the connection points of the substation equipment to obtain the real-time load current at the current monitoring points. Whether there is an overload condition is determined by the current change. Temperature monitoring points are pre-set at the wire clamps, terminal blocks, contacts, the surface of the insulator steel cap, the top of the bushing, etc., and thermal images of the temperature monitoring points are obtained by an infrared thermal imager. Whether there is an overheating area is determined by the temperature change. Images are pre-captured of the porcelain insulator surface, the arrester porcelain sleeve, the equipment wire clamp body, the bend of the drain wire, the disconnector contact support, the bushing porcelain sleeve, etc. The captured images are pre-processed and crack pixels are identified using pre-trained crack segmentation models such as U-Net and DeepCrack. Cracks are located and segmented, and the detected crack areas are quantitatively analyzed to obtain the length, width, area ratio, and direction distribution. Some of the substation equipment problems collected during the implementation of this embodiment are shown in Table 1 below: Table 1

[0024] The current data, temperature data and crack data were preprocessed. A low-pass filter was applied to the current data to remove high-frequency noise. The data was scaled according to the rated current of the substation equipment so that the data were distributed in the interval [-1, 1] or [0, 1]. Fixed-length data segments were intercepted as samples. SIFT feature point matching and affine transformation were performed on the thermal images at different time points. The median filter was applied to remove noise. The pixel value (temperature) was scaled to the interval [0, 1]. The main area of ​​the equipment was cropped and scaled to a standard size of 224x224 pixels. The crack feature vector was calculated for the crack data. Each crack feature was z-score normalized. The current features, temperature features and crack features were analyzed. Extract the seam characteristics, obtain the effective value, crest factor, and total harmonic distortion rate of the current characteristics, use FFT or Welch method to calculate the power spectrum density, obtain the dominant frequency and its amplitude, calculate the wavelet packet energy entropy using 'db4' wavelet for three-layer decomposition, calculate the node energy distribution entropy, use empirical mode decomposition (EMD) intrinsic mode function (IMF) energy, obtain hotspot monitoring of temperature characteristics, obtain the maximum temperature, average temperature, and hotspot area through adaptive threshold segmentation, obtain gradient characteristics, calculate the gradient direction histogram, calculate the Zernike moment or Hu moment to describe the temperature field distribution morphology, divide the equipment into grids, and count the average temperature of each grid. , maximum temperature, temperature difference, the current data, temperature image, and crack feature vector after preprocessing and feature extraction are input into the pre-trained substation fault judgment model to obtain the failure probability of the substation equipment; the input of the current branch is the current signal of 1000 time steps, the network structure is 1D convolution layer (64 filters), maximum pooling and bidirectional LSTM (32 units), and the output is a 32-dimensional time series feature vector. The input of the temperature branch is a 224×224 pixel infrared image, the network structure is a ResNet50 feature extractor (ImageNet pre-training), and the output is a 2048-dimensional image feature vector. The input of the crack branch is length, width , area proportion and direction structured feature vectors. The network structure is a fully connected encoder, and the output is a 16-dimensional feature vector. The multimodal fusion layer connects the three feature vectors. The decision layer outputs the failure probability of the substation equipment. The model parameters are trained using labeled data to enable accurate prediction of the failure probability. The current, temperature and crack data sets are divided into a 70% training set, a 15% validation set and a 15% test set. Each sample corresponds to a binary label (0 = normal, 1 = fault) or a fault level label. In this embodiment, the fault level can be selected as [0, 0.2) for normal, [0.2, 0.6) for warning, [0.6, 0.9) for high risk, and [0.9, 1.0] is urgent. First, perform branch pre-training, freeze the other branches, train each branch (current branch, temperature branch, crack branch) separately, initialize good features, then train the fusion layer, freeze the weights of the three branches, and only train the fusion layer (attention layer) and decision layer. Finally, fine-tune end-to-end, unfreeze all layers, fine-tune the entire network with a low learning rate, monitor the validation set loss, and stop training if it does not decrease for several consecutive times, and restore the best model. Collect high-altitude work scheduling data, including worker weight, working hours, working days, work experience level, work action type and work route; The load is obtained by multiplying the weight of the workers by the acceleration of gravity. When multiple people are working, the loads of all workers need to be accumulated. The longer the load is applied, the higher the risk of creep or stress relaxation of the equipment material. Especially under high temperature or high stress, the possibility of loosening of the connectors also increases. Continuous operation for multiple days will increase the cumulative risk of fatigue damage to the equipment. Even if the load on a single day is within the safe range, long-term cycling may cause microcracks to initiate and propagate. Taking into account the static load, time accumulation effect and equipment fatigue characteristics, the equipment load ratio is obtained by dividing the total worker load by the maximum static load designed for the substation equipment. The operation time ratio is obtained by dividing the operation time by the maximum allowable single operation time of the substation equipment. The operation fatigue ratio is obtained by the operation fatigue ratio calculation formula, which is: ,in, is the fatigue coefficient. In the specific implementation of this embodiment, it was tested that the fatigue effect approaches 63% saturation after 3 days and approaches 90% after 7 days. Therefore, the fatigue coefficient can be set to 0.3 / day. The load impact value is obtained by multiplying the load weight by the equipment load ratio, the time impact value is obtained by multiplying the time weight by the operation time ratio, and the fatigue impact value is obtained by multiplying the fatigue weight by the operation fatigue ratio. The sum of the load impact value, time impact value and fatigue impact value is obtained to obtain the comprehensive load impact value of the substation equipment. The sum of the load weight, time weight and fatigue weight is 1.

[0025] S2. Collecting the work data of the staff to be evaluated, and simulating the trajectory changes of the work safety area based on the work data of the staff to be evaluated; See also Figure 3 In this embodiment, S2 includes the following specific steps: Collect work data of the staff to be evaluated, including the staff's weight, work experience level, work action type, and work route. In the specific implementation of this embodiment, the work action types are divided into bending, walking, climbing, equipment inspection, and equipment maintenance. The action influence coefficient corresponding to bending is 0.9, the action influence coefficient for equipment inspection and equipment maintenance is 1.1, the action influence coefficient corresponding to climbing is 1.2, and the action influence coefficient corresponding to walking is 1.3; Use 3D laser scanning to build a digital model of the work area, divide the space into grids, and mark the attributes of key areas. Key areas include load-bearing areas, that is, areas with a load capacity greater than or equal to 200kg / m 2 , restricted area, that is, the load capacity is 100-200kg / m 2 The worker's work route is input and the path is discretized into a coordinate sequence. The preset work safety space is obtained according to the action type corresponding to the coordinate point. For example, if a worker is performing equipment maintenance at the coordinates (120.5, 45.3, 1.8), the worker's safety space is a cylinder with a radius of 1.2m and a height of 2.0m, plus a 90° sector with a radius of 1.9m extending from the center of the circle to the 30° direction in the equipment extension area. The preset operation safety space in this embodiment is shown in Table 2 below: Table 2 Action Type Safe Space Shape Preset safe working space walk Cylinder Radius 0.8 bend over semi-ellipsoid Length 1.5 × width 0.8 × height 0.6 Climbing cuboid Length 1.2 × Width 0.8 × Height 2.5 Equipment inspection and equipment maintenance Compound Shapes Radius 1.2 + equipment extension area

[0026] Obtain the preset operation safety space, the weight of the staff and the work experience level, obtain the weight correction coefficient according to the weight of the staff, and obtain the safety margin coefficient according to the work experience level. In the specific implementation of this embodiment, the weight of the staff is obtained. When the weight is less than or equal to 60kg, the weight correction coefficient is 1.2. When the weight is greater than 60kg and less than or equal to 80kg, the weight standard is not corrected. When the weight is greater than or equal to 80kg, the weight correction coefficient is 1.4. The historical operation records of the staff are obtained, and the experience level of the staff is divided into levels one to three. Level three is the highest level. The safety margin coefficient corresponding to level one is 1.3, the safety margin coefficient corresponding to level two is 1.1, and the safety margin coefficient corresponding to level three is 0.9. The preset operation safety space is multiplied by the weight correction coefficient and then multiplied by the safety margin coefficient to obtain the matched operation safety space. This embodiment This example considers the experience level of workers to achieve precise safety management and avoid over- or under-protection. Skilled workers generally have a deeper understanding of work processes, potential risk points, and emergency measures, and are more responsive. Based on their proficiency, the safety margin can be appropriately relaxed while ensuring safety, thereby reducing unnecessary constraints and improving work efficiency. New or unfamiliar workers have relatively weaker risk identification and response capabilities and are more likely to make mistakes or encounter unexpected situations. Therefore, a stricter and more conservative safety margin needs to be set to provide more direct protection and supervision to prevent accidents caused by lack of experience. By differentiating proficiency levels, resources that most need strict monitoring and protection can be allocated to new or complex task areas with higher risks. Skilled workers can work efficiently within a more relaxed safety margin, reducing waiting and coordination time, thereby improving overall project progress. Traverse each coordinate point on the operation route, connect the operation safety space after matching each coordinate point to obtain the operation safety area trajectory.

[0027] This embodiment can identify potential risks in advance and dynamically adjust the scheduling plan by simulating trajectory changes in the safe area.

[0028] S3. Divide the work safety zones of other workers based on the high-altitude work schedule data, and determine the overlap of the work safety zones based on the simulated trajectory changes of the work safety zone of the worker to be evaluated and the work safety zones of other workers; In this embodiment, S3 includes the following specific steps: Obtain the working coordinates of other workers in the same period based on the high-altitude work schedule data, obtain the preset working safety space based on the action type corresponding to the coordinate points of other workers, and obtain the working safety area of ​​other workers based on the preset working safety space, worker weight and work experience level; A three-dimensional grid coordinate system is established for the work area. Starting from the starting point of the work safety area trajectory, each work safety area on the work safety area trajectory is traversed in turn. The overlapping grid set of the work safety areas of the worker to be evaluated and other workers is output. The overlapping volume is obtained by multiplying the number of overlapping grids by the area of ​​a single grid. The overlapping degree of the work safety area is obtained by dividing the overlapping volume by the volume of the work safety area of ​​the worker to be evaluated at the corresponding coordinates. For example, if the work safety area of ​​the worker to be evaluated is the grid [101-120, 201-220, 301-310] and the work safety area of ​​other workers is the grid [111-130, 211-230, 301-305], then the overlapping area is the grid [111-120, 211-220, 301-305], and the overlapping volume is 0.5m³.

[0029] S4. Analyze the operation hazard situation based on the overlap of the operation safety area, the failure situation of the substation equipment and the load status of the substation equipment; In this embodiment, S4 includes the following specific steps: Obtain the distance between the corresponding coordinates of the overlapping area and the substation equipment, and obtain the fault value of the substation equipment under the influence of the overlapping area according to the overlapping impact calculation formula. The overlapping impact calculation formula is: ,in, is the failure probability of the nth substation equipment, is the distance between the overlapping area and the nth substation, is the average distance between the corresponding coordinates of the overlapping area and the substation equipment, The number of substation equipment is calculated. By calculating the distance between the overlapping area and the substation equipment, it is possible to accurately identify which substation equipment is directly affected by the overlapping area and the extent of the impact. For example, equipment closer than the safety threshold may fail due to arcing, vibration, or misoperation, while equipment farther away is less at risk. Protective measures can be dynamically adjusted based on the level of the fault threshold. The safety area overlap hazard impact value is obtained by multiplying the safety area overlap weight by the overlap degree of the operation safety area. The substation equipment fault hazard impact value is obtained by multiplying the fault weight by the fault value of the substation equipment under the influence of the overlapping area. The load hazard impact value is obtained by multiplying the comprehensive load weight by the comprehensive load impact value of the substation equipment. The operation hazard value is obtained by summing the safety area overlap hazard impact value, the substation equipment fault hazard impact value and the load hazard impact value. The sum of the safety area overlap weight, the fault weight and the comprehensive load weight is 1.

[0030] S5. Determine whether the high-altitude work arrangement complies with regulations based on the work hazards of the staff to be assessed.

[0031] In this embodiment, S5 includes the following specific steps: Whether the high-altitude work arrangement complies with the specifications is judged based on the comparison results of the work hazard value of the staff to be evaluated and the work hazard threshold. If the work hazard value of the staff to be evaluated is greater than or equal to the work hazard threshold, the high-altitude work arrangement is judged to be non-compliant with the specifications and a danger warning is issued. If the work hazard value of the staff to be evaluated is less than the work hazard threshold, the high-altitude work arrangement is judged to be compliant with the specifications.

[0032] During the specific implementation of this embodiment, the weights and thresholds are obtained through experiments by experts in this field. The steps of obtaining the weights and thresholds include: obtaining several high-altitude work schedules, and having the experts in this field judge whether the high-altitude work arrangements comply with the specifications. At the same time, the weights and thresholds are substituted into the steps in this embodiment to obtain the worker's work hazard value and the judgment result of whether it complies with the specifications. The system judgment results and the judgment results of technical personnel in this field are imported into the trained fitting software for fitting, and the weights and threshold values ​​with the highest accuracy in judging whether it complies with the specifications are obtained.

[0033] See also Figure 4 A complex high-altitude operation scene analysis system for power substation is implemented based on the above-mentioned complex high-altitude operation scene analysis method for power substation, including: an equipment failure analysis module for collecting power substation equipment data and analyzing power substation equipment failure conditions based on the power substation equipment data; Equipment load analysis module, used to collect high-altitude work scheduling data and analyze the load status of substation equipment based on the high-altitude work scheduling data; The safety trajectory simulation module is used to collect the work data of the personnel to be evaluated and simulate the trajectory changes of the working safety area based on the work data of the personnel to be evaluated; The area overlap judgment module is used to divide the work safety areas of other workers according to the high-altitude work scheduling data, and judge the overlap of the work safety areas based on the simulated trajectory changes of the work safety area of ​​the worker to be evaluated and the work safety areas of other workers; Operation hazard analysis module, used to analyze operation hazard conditions based on the overlap of operation safety areas, substation equipment failure conditions, and substation equipment load conditions; The arrangement specification analysis module is used to determine whether the high-altitude work arrangement complies with the specifications based on the work hazard situation of the staff to be assessed.

[0034] An embodiment of the present invention provides an electronic device, which includes a processor and a memory. The memory is used to store program code and data for analyzing complex high-altitude work scenarios in the substation profession, and the processor is used to call program instructions in the memory to execute a method for analyzing complex high-altitude work scenarios in the substation profession as disclosed in the above embodiment.

[0035] An embodiment of the present invention provides a storage medium, which includes the electronic device provided by the above-mentioned embodiment of the present invention, and the electronic device is used to execute a method for analyzing complex high-altitude work scenarios in a power transformation specialty as disclosed in the above-mentioned embodiment.

[0036] The above embodiments may be implemented in whole or in part through software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes a collection of one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media may be a solid-state drive.

[0037] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. For system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple. For relevant parts, refer to the partial description of the method embodiment. The system and system embodiments described above are only schematic. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying any creative work.

[0038] Professionals will further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in this invention can be implemented using electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the above description generally describes the components and steps of each example according to their functions. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this invention.

[0039] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein, but is intended to be embodied in the widest possible manner consistent with the principles and novel features disclosed herein.

Claims

1. A method for analyzing complex high-altitude operation scenarios in power transformation, characterized by: The specific steps include: S1. Collect substation equipment data and high-altitude work schedule data, analyze substation equipment failures based on substation equipment data, and analyze substation equipment load status based on high-altitude work schedule data; S2. Collecting the work data of the staff to be evaluated, and simulating the trajectory changes of the work safety area based on the work data of the staff to be evaluated; S3. Divide the work safety zones of other workers based on the high-altitude work schedule data, and determine the overlap of the work safety zones based on the simulated trajectory changes of the work safety zone of the worker to be evaluated and the work safety zones of other workers; S4. Analyze the operation hazard situation based on the overlap of the operation safety area, the failure situation of the substation equipment and the load status of the substation equipment; S5. Determine whether the high-altitude work arrangement complies with regulations based on the work hazards of the staff to be assessed.

2. The method for analyzing complex high-altitude operations in power transformation according to claim 1 is characterized in that: The S1 includes the following specific steps: Collecting substation equipment data, wherein the substation equipment data includes current data, temperature data, and crack data; Preprocess the current data, temperature data, and crack data, extract the current features, temperature features, and crack features, and input the preprocessed and extracted current data, temperature image, and crack feature vector into a pre-trained substation equipment fault judgment model to obtain the substation equipment failure probability; Collecting high-altitude work scheduling data, including worker weight, working hours, working days, work experience level, work action type, and work route; The load is obtained by multiplying the weight of the workers by the acceleration of gravity. The equipment load ratio is obtained by dividing the total load of the workers by the maximum static load of the substation equipment. The operation time ratio is obtained by dividing the operation time by the maximum allowable single operation time of the substation equipment. The operation fatigue ratio is obtained by the operation fatigue ratio calculation formula, which is: ,in, is the fatigue coefficient, is the number of working days; The load impact value is obtained by multiplying the load weight by the equipment load ratio, the time impact value is obtained by multiplying the time weight by the operation time ratio, and the fatigue impact value is obtained by multiplying the fatigue weight by the operation fatigue ratio. The sum of the load impact value, time impact value and fatigue impact value is obtained to obtain the comprehensive load impact value of the substation equipment. The sum of the load weight, time weight and fatigue weight is 1.

3. The method for analyzing complex high-altitude operations in power transformation according to claim 2 is characterized in that: The S2 includes the following specific steps: Collecting work data of the staff member to be evaluated, wherein the work data of the staff member to be evaluated includes the staff member's weight, work experience level, work action type and work route; Use 3D laser scanning to build a digital model of the work area, perform spatial grid division, input the worker's work route, discretize the path into a coordinate sequence, and obtain the preset work safety space based on the action type corresponding to the coordinate point; Obtain the preset operating safety space, worker weight, and work experience level, obtain a weight correction factor based on the worker weight, obtain a safety margin factor based on the work experience level, and multiply the preset operating safety space by the weight correction factor and then by the safety margin factor to obtain the matched operating safety space. Traverse each coordinate point on the operation route, connect the operation safety space after matching each coordinate point to obtain the operation safety area trajectory.

4. The method for analyzing complex high-altitude operations in power transformation according to claim 3 is characterized in that: The S3 includes the following specific steps: Obtain the working coordinates of other workers in the same period based on the high-altitude work schedule data, obtain the preset working safety space based on the action type corresponding to the coordinate points of other workers, and obtain the working safety area of ​​other workers based on the preset working safety space, worker weight and work experience level; A three-dimensional grid coordinate system is established for the work area. Starting from the starting point of the work safety area trajectory, each work safety area on the work safety area trajectory is traversed in turn, and the overlapping grid set of the work safety areas of the worker to be evaluated and other workers is output. The overlapping volume is obtained by multiplying the number of overlapping grids by the area of ​​a single grid. The overlapping degree of the work safety area is obtained by dividing the overlapping volume by the volume of the work safety area of ​​the worker to be evaluated at the corresponding coordinates.

5. The method for analyzing complex high-altitude operations in power transformation according to claim 4 is characterized in that: The S4 includes the following specific steps: Obtain the distance between the corresponding coordinates of the overlapping area and the substation equipment, and obtain the fault value of the substation equipment under the influence of the overlapping area according to the overlapping influence calculation formula. The overlapping influence calculation formula is: ,in, is the failure probability of the nth substation equipment, is the distance between the overlapping area and the nth substation, is the average distance between the corresponding coordinates of the overlapping area and the substation equipment, is the number of substation equipment; The safety area overlap hazard impact value is obtained by multiplying the safety area overlap weight by the overlap degree of the operation safety area. The substation equipment fault hazard impact value is obtained by multiplying the fault weight by the fault value of the substation equipment under the influence of the overlapping area. The load hazard impact value is obtained by multiplying the comprehensive load weight by the comprehensive load impact value of the substation equipment. The operation hazard value is obtained by summing the safety area overlap hazard impact value, the substation equipment fault hazard impact value and the load hazard impact value. The sum of the safety area overlap weight, the fault weight and the comprehensive load weight is 1.

6. The method for analyzing complex high-altitude operations in power transformation according to claim 5 is characterized in that: The S5 includes the following specific steps: Whether the high-altitude work arrangement complies with the specifications is judged based on the comparison results of the work hazard value of the staff to be evaluated and the work hazard threshold. If the work hazard value of the staff to be evaluated is greater than or equal to the work hazard threshold, the high-altitude work arrangement is judged to be non-compliant with the specifications and a danger warning is issued. If the work hazard value of the staff to be evaluated is less than the work hazard threshold, the high-altitude work arrangement is judged to be compliant with the specifications.

7. A system for analyzing complex high-altitude operations in power substations, used to implement a method for analyzing complex high-altitude operations in power substations as described in any one of claims 1 to 6, characterized in that: include: Equipment failure analysis module, used to collect substation equipment data and analyze substation equipment failure conditions based on the substation equipment data; Equipment load analysis module, used to collect high-altitude work scheduling data and analyze the load status of substation equipment based on the high-altitude work scheduling data; The safety trajectory simulation module is used to collect the work data of the personnel to be evaluated and simulate the trajectory changes of the working safety area based on the work data of the personnel to be evaluated; The area overlap judgment module is used to divide the work safety areas of other workers according to the high-altitude work scheduling data, and judge the overlap of the work safety areas based on the simulated trajectory changes of the work safety area of ​​the worker to be evaluated and the work safety areas of other workers; Operation hazard analysis module, used to analyze operation hazard conditions based on the overlap of operation safety areas, substation equipment failure conditions, and substation equipment load conditions; The arrangement specification analysis module is used to determine whether the high-altitude work arrangement complies with the specifications based on the work hazard situation of the staff to be assessed.

8. An electronic device, characterized in that: The electronic device includes a processor and a memory, the memory is used to store program code and data for analyzing complex high-altitude work scenarios for substations, and the processor is used to call program instructions in the memory to execute a method for analyzing complex high-altitude work scenarios for substations as described in any one of claims 1-6.

9. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute a method for analyzing complex high-altitude operations scenarios in power transformation as described in any one of claims 1-6.

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