A power transformation professional complex high-altitude operation scene analysis method and system

Abstract

The application provides a power transformation professional complex high-altitude operation scene analysis method and system, relates to the field of power transformation high-altitude operation scenes, comprises the following steps: analyzing the fault condition of a power transformation device according to power transformation device data, analyzing the load state of the power transformation device according to high-altitude operation scheduling data, simulating the trajectory variation of an operation safety area according to the work data of a staff to be evaluated, dividing the operation safety area of other staff according to the high-altitude operation scheduling data, judging the overlap condition of the operation safety area, analyzing the operation danger condition, and judging whether the high-altitude operation arrangement conforms to the specification according to the operation danger condition of the staff to be evaluated. The application analyzes the danger of operation by comprehensively analyzing the overlap of high-altitude operation scheduling trajectories, the fault of a power transformation device and the load of a power transformation device, is favorable for guaranteeing the safety of high-altitude operation personnel and reducing the risk of high-altitude operation scheduling.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power transformation high-altitude operation scenes, and in particular to a power transformation professional complex high-altitude operation scene analysis method and system. BACKGROUND

[0002] The power transformation professional complex high-altitude operation scene mainly involves the erection and maintenance of ultra-high voltage transmission lines, which requires high-intensity work on iron towers and power lines that are tens to hundreds of meters high. The work environment is complex and has a high risk. Therefore, in high-altitude operation, scheduling is an important link to ensure operation safety. Scientific and reasonable scheduling not only improves work efficiency but also effectively reduces operation risks.

[0003] In terms of high-altitude operation scheduling, existing arrangements often only consider some factors, such as the working time and operation tasks of workers, while ignoring the physical condition, work experience of workers, and the comprehensive impact of operation on power transformation equipment. For example, the impact of worker weight on equipment load and the safety risk difference of workers with different work experience levels in the operation process are not fully considered. In addition, the impact of operation time and operation fatigue on operation safety is also lacking in quantitative evaluation, which leads to the inability to accurately determine whether the operation arrangement is reasonable, increasing the safety hazards of high-altitude operation.

[0004] Current evaluation of high-altitude operation safety zones is mainly based on pre-set fixed spaces, without fully considering individual differences of workers and complexity of operation actions. Workers with different weights, work experience levels, and operation action types require different safety spaces. For example, experienced workers may need a smaller safety space when performing certain operation actions, while novices need a larger safety margin. Existing evaluation methods cannot provide personalized safety space evaluation for each worker, leading to inaccurate division of operation safety zones and increasing the risk of collisions and interference between workers.

[0005] In evaluating the dangerous situation of high-altitude operation, existing methods often only focus on a single factor, such as the overlap of operation safety zones or the failure of power transformation equipment, without considering the overlap of operation safety zones, the failure of power transformation equipment, and the load state of power transformation equipment comprehensively. This single-factor evaluation method cannot fully reflect the actual danger level of the operation, which may lead to misjudgment of operation risks. For example, even if there is no overlap of operation safety zones, if the power transformation equipment is in high-load operation and has hidden faults, the operation still has a high risk.

[0006] To solve the above problems, the present application provides a power transformation professional complex high-altitude operation scene analysis method and system. SUMMARY

[0007] Therefore, the embodiment of the present application provides a power transformation professional complex aerial work scene analysis method and system, which analyzes the danger of work by overlapping aerial work scheduling track, power transformation equipment failure and power transformation equipment load, is beneficial to guarantee the safety of aerial work personnel and reduce the risk of aerial work scheduling;

[0008] To achieve the above object, the embodiment of the present application provides the following technical scheme:

[0009] The first aspect of the embodiment of the present application shows a power transformation professional complex aerial work scene analysis method, which comprises the following specific steps:

[0010] S1, collecting power transformation equipment data and aerial work scheduling data, analyzing power transformation equipment failure according to the power transformation equipment data, and analyzing power transformation equipment load state according to the aerial work scheduling data;

[0011] S2, collecting work data of the to-be-evaluated worker, and simulating track variation of the work safety area according to the work data of the to-be-evaluated worker;

[0012] S3, dividing the work safety area of other workers according to the aerial work scheduling data, and judging the overlap of the work safety area according to the simulated track variation of the work safety area of the to-be-evaluated worker and the work safety area of other workers;

[0013] S4, analyzing the work danger according to the overlap of the work safety area, the power transformation equipment failure and the power transformation equipment load state;

[0014] S5, judging whether the aerial work arrangement conforms to the specification according to the work danger of the to-be-evaluated worker.

[0015] Specifically, the S1 comprises the following specific steps:

[0016] Collecting power transformation equipment data, the power transformation equipment data comprising current data, temperature data and crack data;

[0017] Pretreating the current data, the temperature data and the crack data, extracting current features, temperature features and crack features, inputting the pretreated current data, temperature image and crack feature vector into a pre-trained power transformation equipment failure judgment model, and obtaining the failure probability of the power transformation equipment;

[0018] Collecting aerial work scheduling data, the aerial work scheduling data comprising worker weight, work duration, work days, work experience level, work action type and work route;

[0019] The load is obtained by multiplying the weight of the worker by the acceleration of gravity, the equipment load ratio is obtained by dividing the total load of the worker by the maximum static load of the power transformation equipment design, the operation time ratio is obtained by dividing the operation time by the maximum single operation time of the power transformation equipment, and the operation fatigue ratio is obtained by the operation fatigue ratio calculation formula: wherein, is the fatigue coefficient, is the number of operation days, the load influence value is obtained by multiplying the load weight by the equipment load ratio, the time influence value is obtained by multiplying the time weight by the operation time ratio, the fatigue influence value is obtained by multiplying the fatigue weight by the operation fatigue ratio, the comprehensive load influence value of the power transformation equipment is obtained by summing the load influence value, the time influence value and the fatigue influence value, and the sum of the load weight, the time weight and the fatigue weight is 1.

[0020] Specifically, the S2 includes the following specific steps:

[0021] The working data of the worker to be evaluated is collected, and the working data of the worker to be evaluated includes the weight of the worker, the working experience level, the operation action type and the operation route;

[0022] A digital model of the operation area is established using 3D laser scanning, spatial grid division is performed, the operation route of the worker is input, the path is discretized into a coordinate sequence, and the preset operation safety space is obtained according to the action type corresponding to the coordinate point;

[0023] The preset operation safety space, the weight of the worker and the working experience level are obtained, the weight correction coefficient is obtained according to the weight of the worker, the safety margin coefficient is obtained according to the working experience level, the matched operation safety space is obtained by multiplying the preset operation safety space by the weight correction coefficient and then by the safety margin coefficient;

[0024] Each coordinate point on the operation route is traversed, and the operation safety area track is obtained by connecting the matched operation safety space of each coordinate point.

[0025] Specifically, the S3 includes the following specific steps:

[0026] The operation coordinates of other workers in the same period are obtained according to the high-altitude operation scheduling data, the preset operation safety space is obtained according to the action type corresponding to the coordinate point of the other workers, and the operation safety area of the other workers is obtained according to the preset operation safety space, the weight of the worker and the working experience level.

[0027] A three-dimensional grid coordinate system is established for the work area, starting from the starting point of the work safety area track, each work safety area on the work safety area track is traversed in turn, and the overlapping grid set of the work safety area of the work staff to be evaluated and other work staff is output, the overlapping volume is obtained by multiplying the number of overlapping grids by the area of a single grid, and the overlap degree of the work safety area is obtained by dividing the overlapping volume by the volume of the work safety area of the work staff to be evaluated at the corresponding coordinates.

[0028] Specifically, the S4 includes the following specific steps:

[0029] The distance between the corresponding coordinates of the overlapping area and the power transformation equipment is obtained, and the fault value of the power transformation equipment under the influence of the overlapping area is obtained according to the overlapping influence calculation formula, the overlapping influence calculation formula is: , wherein, is the fault probability of the nth power transformation equipment, is the distance between the overlapping area and the nth power transformation equipment, is the average distance between the corresponding coordinates of the overlapping area and the power transformation equipment, is the number of power transformation equipments;

[0030] The safety area overlapping weight is multiplied by the overlap degree of the work safety area to obtain the safety area overlapping danger influence value, the fault weight is multiplied by the fault value of the power transformation equipment under the influence of the overlapping area to obtain the power transformation equipment fault danger influence value, the comprehensive load weight is multiplied by the comprehensive load influence value of the power transformation equipment to obtain the load danger influence value, and the sum of the safety area overlapping danger influence value, the power transformation equipment fault danger influence value and the load danger influence value is obtained to obtain the work danger value, and the sum of the safety area overlapping weight, the fault weight and the comprehensive load weight is 1.

[0031] Specifically, the S5 includes the following specific steps:

[0032] According to the comparison result of the work danger value of the work staff to be evaluated and the work danger threshold value, it is judged whether the high-altitude work arrangement conforms to the specification, if the work danger value of the work staff to be evaluated is greater than or equal to the work danger threshold value, it is judged that the high-altitude work arrangement does not conform to the specification and a danger warning is given, and if the work danger value of the work staff to be evaluated is less than the work danger threshold value, it is judged that the high-altitude work arrangement conforms to the specification.

[0033] The second aspect of the embodiment of the application shows a power transformation professional complex high-altitude work scene analysis system, which is used to realize a power transformation professional complex high-altitude work scene analysis method, and includes:

[0034] The device fault analysis module is used to collect power transformation equipment data, and analyze the fault condition of the power transformation equipment according to the power transformation equipment data;

[0035] The device load analysis module is used for collecting high-altitude operation scheduling data and analyzing the load state of the power transformation device according to the high-altitude operation scheduling data.

[0036] The safety trajectory simulation module is used for collecting work data of the staff to be evaluated and simulating the trajectory variation of the operation safety area according to the work data of the staff to be evaluated.

[0037] The area overlap judgment module is used for dividing the operation safety areas of other staff according to the high-altitude operation scheduling data and judging the overlap of the operation safety areas according to the simulated trajectory variation of the operation safety area of the staff to be evaluated and the operation safety areas of other staff.

[0038] The operation danger analysis module is used for analyzing the operation danger situation according to the overlap of the operation safety areas, the fault situation of the power transformation device and the load state of the power transformation device.

[0039] The arrangement specification analysis module is used for judging whether the high-altitude operation arrangement of the staff to be evaluated conforms to the specification according to the operation danger situation of the staff to be evaluated.

[0040] The third aspect of the embodiment of the application shows an electronic device, the electronic device includes a processor and a memory, the memory is used for storing the program code and data of the power transformation professional complex high-altitude operation scene analysis, and the processor is used for calling the program instruction in the memory to execute the power transformation professional complex high-altitude operation scene analysis method as shown in the first aspect of the embodiment of the application.

[0041] The fourth aspect of the embodiment of the application shows a storage medium, the storage medium includes a storage program, wherein, when the program runs, the device where the storage medium is located executes the power transformation professional complex high-altitude operation scene analysis method as shown in the first aspect of the embodiment of the application.

[0042] Based on the above, the method and system for analyzing the complex high-altitude operation scene of the power transformation profession provided by the embodiment of the application, the method comprises: collecting power transformation equipment data and high-altitude operation scheduling data, analyzing the power transformation equipment failure condition according to the power transformation equipment data, analyzing the power transformation equipment load state according to the high-altitude operation scheduling data, collecting the work data of the staff to be evaluated, simulating the trajectory variation of the operation safety area according to the work data of the staff to be evaluated, dividing the operation safety area of other staff according to the high-altitude operation scheduling data, judging the overlap of the operation safety area according to the simulated trajectory variation of the operation safety area of the staff to be evaluated and the operation safety area of other staff, analyzing the operation danger condition according to the overlap of the operation safety area, the power transformation equipment failure condition and the power transformation equipment load state, and judging whether the high-altitude operation arrangement conforms to the specification according to the operation danger condition of the staff to be evaluated. The application analyzes the danger of operation by the overlap of the high-altitude operation scheduling trajectory, the power transformation equipment failure and the power transformation equipment load, which is beneficial to the safety of the high-altitude operation personnel and reduces the risk of high-altitude operation scheduling. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only the embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of the provided drawings.

[0044] Figure 1 A flowchart of a method for analyzing a complex high-altitude operation scene of a power transformation profession is shown for the embodiment of the application.

[0045] Figure 2 A flowchart of S1 of a method for analyzing a complex high-altitude operation scene of a power transformation profession is shown for the embodiment of the application.

[0046] Figure 3 A flowchart of S2 of a method for analyzing a complex high-altitude operation scene of a power transformation profession is shown for the embodiment of the application.

[0047] Figure 4 A structure diagram of a system for analyzing a complex high-altitude operation scene of a power transformation profession is shown for the embodiment of the application. DETAILED DESCRIPTION

[0048] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative work are within the protection scope of the present application.

[0049] The terms "first", "second", "third", "fourth" and the like in the description and claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily indicate a particular order or sequence, and it should be understood that the data thus used can be interchanged, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to the process, method, product or device.

[0050] It should be noted that the description involving "first", "second" and the like in the present application is only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features, or implicitly indicating the number of the indicated technical features, so that the features with "first", "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions of various embodiments can be combined with each other, but must be based on the realization of a person of ordinary skill in the art, and when the combination of technical solutions contradicts each other or cannot be realized, it should be considered that the combination of technical solutions does not exist, and is not within the protection scope of the present application.

[0051] In the present application, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or includes elements inherent to such process, method, article or device. Without more limitations, the element defined by the sentence "including a" does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0052] Please refer to Figure 1 The present application provides an embodiment: a power transformation professional complex high-altitude operation scene analysis method, which comprises the following specific steps:

[0053] S1, collect power transformation equipment data and high-altitude operation scheduling data, analyze power transformation equipment fault conditions according to the power transformation equipment data, and analyze power transformation equipment load states according to the high-altitude operation scheduling data;

[0054] Please refer to Figure 2 In this embodiment, S1 includes the following specific steps:

[0055] The power transformation equipment data includes current data, temperature data, and crack data.

[0056] In the specific implementation of this embodiment, a current monitoring point is set at a connection point of the power transformation equipment in advance, the real-time load current of the current monitoring point is obtained, whether there is an overload condition is determined through current change, a temperature monitoring point is set at the surface of an online clamp, a wiring board, a contact, an insulator steel cap, a top of a bushing, and the like in advance, a thermal image of the temperature monitoring point is obtained through an infrared thermal imager, whether there is an overheating area is determined through temperature change, image acquisition is performed on the surface of a porcelain insulator, a porcelain sleeve of a lightning arrester, a body of a device clamp, a bending position of a current-carrying wire, a contact support of a disconnecting switch, a porcelain sleeve of a bushing, and the like, the acquired images are preprocessed, a pre-trained U-Net, DeepCrack, or other crack segmentation model is used to identify crack pixels, cracks are located and segmented, the detected crack regions are quantitatively analyzed, and length, width, area proportion, and trend distribution are obtained.

[0057] Some power transformation equipment problems collected in the specific implementation of this embodiment are shown in Table 1.

[0058] Table 1

[0059]

[0060] The current data, temperature data and crack data are preprocessed, a low-pass filter is applied to the current data to remove high-frequency noise, scaled according to the rated current of the power transformation equipment, so that the data is distributed in the interval [-1, 1] or [0, 1], a fixed length data segment is intercepted as a sample, SIFT feature point matching and affine transformation are performed on the thermal images at different time points, median filtering is applied to remove noise, the pixel value (temperature) is scaled to the interval [0, 1], the main body region of the equipment is cropped and scaled to the standard size of 224x224 pixels, the crack feature vector is calculated, the z-score standardization is performed on each crack feature, the current feature, temperature feature and crack feature are extracted, the effective value, peak factor and total harmonic distortion rate of the current feature are obtained, the power spectral density is calculated using the FFT or Welch method, the dominant frequency and its amplitude are obtained, the wavelet packet energy entropy calculation uses 'db4' wavelet for 3-level decomposition, the node energy distribution entropy value is calculated, the intrinsic mode function (IMF) energy of empirical mode decomposition (EMD) is used to obtain the hotspot monitoring of the temperature feature, the highest temperature, average temperature and hotspot area are obtained by adaptive threshold segmentation, the gradient feature is obtained, the gradient direction histogram is calculated, the Zernike moment or Hu moment is used to describe the temperature field distribution form, the equipment is divided into a grid, the average temperature, maximum temperature and temperature difference of each grid are counted, and the current data, temperature image and crack feature vector after preprocessing and feature extraction are input into the power transformation equipment fault judgment model pre-trained, to obtain the fault probability of the power transformation equipment; wherein the input of the current branch is 1000 time steps of current signal, the network structure is 1D convolution layer (64 filters), max 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 224x224 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 a structured feature vector of length, width, area ratio and trend, the network structure is a fully connected encoder, and the output is a 16-dimensional feature vector, the multi-modal fusion layer connects the three feature vectors, the decision layer outputs the power transformation equipment fault probability, the model parameters are trained using labeled data to accurately predict the fault probability, the current, temperature and crack data sets are divided into 70% training set, 15% validation set and 15% test set, each sample corresponds to a binary label (0=normal, 1=fault) or fault level label, the fault level of the present embodiment can be selected as [0, 0.2) for normal, [0.2, 0.6) for early warning, [0.6, 0.9) for high risk, and [0.9, 1.0] For emergency, first branch pre-training, freeze 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, only train the fusion layer (attention layer) and decision layer, finally end-to-end fine-tuning, unfreeze all layers, fine-tune the entire network with a lower learning rate, monitor the validation set loss, stop training if it does not decrease for several times in a row, and restore the best model.

[0061] Collect high-altitude operation scheduling data, including the weight of the worker, the operation duration, the operation days, the work experience level, the operation action type, and the operation route.

[0062] Multiply the weight of the worker by the acceleration due to gravity to obtain the load. When multiple people are working, the loads of all workers need to be accumulated. The longer the load acts, the higher the risk of creep or stress relaxation of equipment and materials, especially under high temperature or high stress, the possibility of loose connections also increases, and continuous multi-day work will increase the cumulative risk of fatigue damage of the equipment. Even if the single-day load is within the safe range, long-term cycling may cause micro-cracks to initiate and expand. Considering 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 of the power transformation equipment design, the operation time ratio is obtained by dividing the operation duration by the maximum single-allowed operation duration of the power transformation equipment, and the operation fatigue ratio is obtained by the operation fatigue ratio calculation formula: wherein, is the fatigue coefficient. In specific implementation, it is tested that the fatigue influence tends to be saturated at about 63% after 3 days, and at about 90% after 7 days. Therefore, the fatigue coefficient can be taken as 0.3 / day, is the operation days, the load influence value is obtained by multiplying the load weight by the equipment load ratio, the time influence value is obtained by multiplying the time weight by the operation time ratio, and the fatigue influence value is obtained by multiplying the fatigue weight by the operation fatigue ratio. The sum of the load influence value, the time influence value, and the fatigue influence value is obtained to obtain the comprehensive load influence value of the power transformation equipment. The sum of the load weight, the time weight, and the fatigue weight is 1.

[0063] S2, collect work data of the worker to be evaluated, and simulate trajectory changes of the operation safety area according to the work data of the worker to be evaluated;

[0064] Please refer to Figure 3 In this embodiment, S2 includes the following specific steps:

[0065] Collect the work data of the staff to be evaluated, including the weight of the staff, the work experience level, the operation action type and the operation route. In the specific implementation of the embodiment, the operation action type is divided into bending, walking, climbing, equipment inspection and equipment maintenance. The action influence coefficient corresponding to bending is 0.9, the action influence coefficient of 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.

[0066] A digital model of the operation area is established using 3D laser scanning, spatial grid division is performed, and key region attributes are labeled. The key regions include a bearing area, i.e., a bearing capacity greater than or equal to 200 kg / m 2 , a restriction area, i.e., a bearing capacity of 100-200 kg / m 2 , and an emergency refuge area, i.e., a safety platform. The operation route of the staff is input, the path is discretized into a coordinate sequence, the preset operation safety space is obtained according to the action type corresponding to the coordinate point, for example, a certain staff performs equipment maintenance at the coordinate (120.5, 45.3, 1.8), and the safety space of the staff is a cylinder with a radius of 1.2 m and a height of 2.0 m, plus a device extension area extending from the center to a 30° direction with a 90° sector with a radius of 1.9 m;

[0067] In the specific implementation of the embodiment, the preset operation safety space is shown in Table 2 as follows:

[0068] Table 2

[0069] Action type Safety space shape Pre-set work safety space Walking Cylinder Radius 0.8 Bending Half-ellipsoid Length 1.5 x width 0.8 x height 0.6 Climbing Cuboid Length 1.2 x width 0.8 x height 2.5 Equipment inspection and equipment maintenance Composite shape Radius 1.2 + equipment extension area

[0070] Obtaining the preset work safety space, the weight of the worker and the work experience level, obtaining the weight correction coefficient according to the weight of the worker, and obtaining the safety margin coefficient according to the work experience level. In the specific implementation of the embodiment, the weight of the worker is obtained. When the weight is less than or equal to 60 kg, the weight correction coefficient is 1.2. When the weight is greater than 60 kg and less than or equal to 80 kg, the weight standard is not corrected. When the weight is greater than or equal to 80 kg, the weight correction coefficient is 1.4. The historical work records of the worker are obtained. The experience level of the worker is divided into one to three levels. The highest level is three. The safety margin coefficient corresponding to the first level is 1.3. The safety margin coefficient corresponding to the second level is 1.1. The safety margin coefficient corresponding to the third level is 0.9. The matched work safety space is obtained by multiplying the preset work safety space by the weight correction coefficient and then by the safety margin coefficient. The embodiment considers the experience level of the worker to realize precise safety management, avoids excessive protection or insufficient protection, and skilled personnel usually have a deeper understanding of the work process, potential risk points and emergency measures and faster reaction ability. Based on the proficiency, the safety range can be appropriately relaxed under the premise of ensuring safety, thereby reducing unnecessary constraints and improving work efficiency. Novices or inexperienced personnel have relatively weak risk identification ability and response ability, and are more likely to make mistakes or encounter unexpected situations. Therefore, a more strict and conservative safety range needs to be set to provide more direct protection and supervision and prevent accidents caused by insufficient experience. By distinguishing proficiency, resources that need the most strict monitoring and protection can be allocated to novices with higher risks or complex task areas. Skilled workers can work efficiently in a more relaxed safety range, reducing waiting and coordination time, and thus improving overall project progress.

[0071] Connecting each coordinate point matched work safety space to obtain the work safety area track.

[0072] The embodiment can identify potential risks in advance and dynamically adjust the scheduling plan by simulating the track variation of the safety area.

[0073] S3, dividing the work safety area of other workers according to the high-altitude work scheduling data, judging the overlap of the work safety area according to the track variation of the simulated work safety area of the worker to be evaluated and the work safety area of the other workers;

[0074] In the embodiment, S3 includes the following specific steps:

[0075] Obtaining the work coordinates of other workers at the same period according to the high-altitude work scheduling data, obtaining the preset work safety space according to the action type corresponding to the coordinate point of the other workers, and obtaining the work safety area of the other workers according to the preset work safety space, the weight of the worker and the work experience level;

[0076] A three-dimensional grid coordinate system is established for the work area. Starting from the starting point of the work safety area track, each work safety area on the work safety area track is traversed in sequence, and the overlapping grid set of the work safety area of the work staff to be evaluated and other work staff is output. The overlapping volume is obtained by multiplying the number of overlapping grids by the area of a single grid. The overlap degree of the work safety area is obtained by dividing the overlapping volume by the volume of the work safety area of the work staff to be evaluated at the corresponding coordinates. For example, the work safety area of the work staff to be evaluated is grid [101-120, 201-220, 301-310], and the work safety area of other work staff is grid [111-130, 211-230, 301-305]. The overlapping area is grid [111-120, 211-220, 301-305], and the overlapping volume is 0.5 m³.

[0077] S4, analyzing the work danger situation according to the overlap of the work safety area, the fault situation of the power transformation equipment, and the load state of the power transformation equipment;

[0078] In this embodiment, S4 includes the following specific steps:

[0079] The distance between the corresponding coordinates of the overlapping area and the power transformation equipment is obtained, and the fault value of the power transformation equipment under the influence of the overlapping area is obtained according to the overlapping influence calculation formula. The overlapping influence calculation formula is: wherein, is the fault probability of the nth power transformation equipment, is the distance between the overlapping area and the nth power transformation equipment, is the average distance between the corresponding coordinates of the overlapping area and the power transformation equipment, is the number of power transformation equipments. Through the calculation of the distance between the overlapping area and the power transformation equipment, it can be accurately identified which power transformation equipment is directly affected by the work overlapping area and the degree of influence. For example, the equipment with a distance less than a safety threshold value may be caused to fail due to electric arc, vibration, or misoperation, while the equipment with a longer distance has a lower risk. According to the fault value, the protection measures are dynamically adjusted;

[0080] The safety area overlap danger influence value is obtained by multiplying the safety area overlap degree by the safety area overlap weight. The power transformation equipment fault danger influence value is obtained by multiplying the fault value of the power transformation equipment under the influence of the overlapping area by the fault weight. The load danger influence value is obtained by multiplying the comprehensive load influence value of the power transformation equipment by the comprehensive load weight. The work danger value is obtained by summing the safety area overlap danger influence value, the power transformation equipment fault danger influence value, and the load danger influence value. The sum of the safety area overlap weight, the fault weight, and the comprehensive load weight is 1.

[0081] S5, determining whether the high-altitude work arrangement conforms to the specification according to the work danger situation of the work staff to be evaluated.

[0082] In the embodiment, S5 comprises the following specific steps:

[0083] The work danger value of the worker to be evaluated is compared with the work danger threshold value to determine whether the high-altitude work arrangement is in compliance with the standard. If the work danger value of the worker to be evaluated is greater than or equal to the work danger threshold value, it is determined that the high-altitude work arrangement is not in compliance with the standard and a danger warning is given. If the work danger value of the worker to be evaluated is less than the work danger threshold value, it is determined that the high-altitude work arrangement is in compliance with the standard.

[0084] In the embodiment, the weight and the threshold value are obtained by experts in the field through experiments. The steps for obtaining the weight and the threshold value include: obtaining a plurality of high-altitude work scheduling tables, determining whether the high-altitude work arrangement is in compliance with the standard by experts in the field, and inputting the work danger value of the worker and the determination result of whether the high-altitude work arrangement is in compliance with the standard into the fitting software to obtain the weight and the threshold value with the highest accuracy of determining whether the high-altitude work arrangement is in compliance with the standard.

[0085] Referring to Figure 4 A complex high-altitude work scene analysis system for a power transformation profession, which is implemented based on the above-mentioned complex high-altitude work scene analysis method for a power transformation profession, comprises: a device fault analysis module configured to collect power transformation device data and analyze power transformation device fault conditions based on the power transformation device data;

[0086] A device load analysis module configured to collect high-altitude work scheduling data and analyze power transformation device load states based on the high-altitude work scheduling data;

[0087] A safety trajectory simulation module configured to collect work data of a worker to be evaluated and simulate trajectory changes of a work safety area based on the work data of the worker to be evaluated;

[0088] A region overlap determination module configured to divide work safety areas of other workers based on the high-altitude work scheduling data and determine an overlap condition 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 the other workers;

[0089] A work danger analysis module configured to analyze work danger conditions based on the overlap condition of the work safety areas, the power transformation device fault conditions, and the power transformation device load states;

[0090] An arrangement standard analysis module configured to determine whether the high-altitude work arrangement is in compliance with the standard based on the work danger conditions of the worker to be evaluated.

[0091] The electronic device provided by the embodiment of the present application comprises a processor and a memory, the memory is used for storing program codes and data of the complex high-altitude operation scene analysis of power transformation professionals, and the processor is used for calling program instructions in the memory to execute the complex high-altitude operation scene analysis method of power transformation professionals disclosed in the above embodiment.

[0092] The storage medium provided by the embodiment of the present application comprises the electronic device provided by the above embodiment of the present application, and the electronic device is used for executing the complex high-altitude operation scene analysis method of power transformation professionals disclosed in the above embodiment.

[0093] The above embodiment can be realized by software, hardware, firmware or any combination thereof, and when realized by software, the above embodiment can be realized in the form of a computer program product, which comprises one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the computer instructions or computer programs can generate the flow or function according to the embodiment of the present application. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center through a wired network or a wireless network. The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server, data center and the like containing one or more available medium collections. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD) or a semiconductor medium. The semiconductor medium can be a solid-state disk.

[0094] Each embodiment in the specification is described in a progressive manner, and the same or similar parts of each embodiment can be referred to each other. Each embodiment focuses on the difference from other embodiments. For the system or system embodiment, since it is basically similar to the method embodiment, it is described more simply. For the relevant part, refer to the part of the method embodiment. The above-described system and system embodiment are only illustrative, and the units described as separate components can be or can not be physically separated, and the components displayed as units can be or can not be physical units, that is, they can be located in one place or distributed on multiple network units. According to the actual needs, part or all of the modules can be selected to achieve the purpose of the embodiment. Those skilled in the art can understand and implement without creative labor.

[0095] Those skilled in the art will further appreciate that the units and algorithms described in connection with the examples disclosed herein can be embodied directly in hardware, in software, or in a combination of the two. For the sake of brevity, descriptions of a bare-bones example in terms of its components and functionality will not repeat those software and hardware details that are well known to one of ordinary skill in the art. Descriptions of examples in terms of operations do not imply that various embodiments are realized by a software program. Unless otherwise specified, the terms "software" and "program" are used herein to refer to machine-readable instructions, and the terms "computer" and "processor" are used herein to refer to a processing unit capable of executing machine-readable instructions. The various embodiments can be realized using any of a wide variety of hardware and software configurations, including a single processor or multiple processors, and including a single computer or multiple computers.

[0096] The foregoing description of the disclosed embodiments enables a person skilled in the art to make or use the application. Numerous modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein can be applied to other embodiments without departing from the spirit or scope of the application. Therefore, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for analyzing complex high-altitude work scenarios in substation operations, characterized in that, The specific steps include the following: S1. Collect data on power equipment and high-altitude operation schedules; analyze power equipment faults based on power equipment data; and analyze power equipment load status based on high-altitude operation schedules. S2. Collect the work data of the workers to be evaluated, and simulate the trajectory changes of the work safety area based on the work data of the workers to be evaluated; S3. Based on the high-altitude operation scheduling data, divide the work safety zones of other workers. Based on the simulated trajectory changes of the work safety zones of the workers to be evaluated and the work safety zones of other workers, determine the overlap of the work safety zones. Establish a three-dimensional grid coordinate system for the work area. Starting from the starting point of the work safety zone trajectory, traverse each work safety zone on the work safety zone trajectory in sequence. Output the set of overlapping grids of the work safety zones of the workers to be evaluated and other workers. Obtain the overlapping volume by multiplying the number of overlapping grids by the area of ​​a single grid. Obtain the degree of overlap of the work safety zones by dividing the overlapping volume by the volume of the work safety zone of the workers to be evaluated at the corresponding coordinates. S4. Analyze the hazardous conditions of the operation based on the overlap of the safe working areas, the fault status of the power equipment, and the load status of the power equipment; The specific steps include the following: Obtain the distance between the coordinates of the overlapping area and the substation equipment, and calculate 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 as follows: ,in, Let be the failure probability of the nth substation equipment. Let be the distance between the overlapping region and the nth transformer. This represents the average distance between the coordinates of the overlapping area and the substation equipment. The number of power equipment; The overlapping hazard impact value of the safety area is obtained by multiplying the overlapping weight of the safety area by the overlap degree of the work safety area. The fault hazard impact value of the substation equipment 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 impact value of the substation equipment by the comprehensive load impact value of the substation equipment. The work hazard value is obtained by summing the overlapping hazard impact value of the safety area, the fault hazard impact value of the substation equipment, and the load hazard impact value. The sum of the overlapping weight of the safety area, the fault weight, and the comprehensive load weight is 1. S5. Determine whether the high-altitude work arrangement complies with regulations based on the operational hazards of the workers to be assessed.

2. The method for analyzing complex high-altitude work scenarios in substation operations according to claim 1, characterized in that, S1 includes the following specific steps: Collect data from power equipment, including current data, temperature data, and crack data; The current data, temperature data, and crack data are preprocessed, and the current features, temperature features, and crack features are extracted. The preprocessed and feature-extracted current data, temperature images, and crack feature vectors are then input into a pre-trained substation fault judgment model to obtain the fault probability of the substation. Collect high-altitude work scheduling data, which includes worker weight, work duration, number of work days, work experience level, type of work action, and work route; The load is obtained by multiplying the worker's weight by the gravitational acceleration. The equipment load ratio is obtained by dividing the total worker load by the maximum design static load of the power equipment. The operation time ratio is obtained by dividing the operation duration by the maximum allowable operation duration of the power equipment per operation. The operation fatigue ratio is obtained by using the operation fatigue ratio calculation formula, which is as follows: ,in, The fatigue coefficient, 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 work scenarios in substation operations according to claim 2, characterized in that, S2 includes the following specific steps: Collect work data of the staff to be evaluated, including staff weight, work experience level, type of work action and work route; 3D laser scanning is used to create a digital model of the work area, spatial grid is divided, the work route of the workers is input, the path is discretized into a coordinate sequence, and the preset work safety space is obtained according to the action type corresponding to the coordinate point. The system obtains the preset safe working space, worker weight, and work experience level. It also obtains a weight correction factor based on worker weight and a safety margin factor based on work experience level. Finally, it obtains the matched safe working space by multiplying the preset safe working space by the weight correction factor and then by the safety margin factor. Traverse every coordinate point on the work route and connect the work safety spaces after matching each coordinate point to obtain the work safety area trajectory.

4. The method for analyzing complex high-altitude work scenarios in substation operations according to claim 3, characterized in that, S3 includes the following specific steps: Based on the high-altitude operation scheduling data, obtain the work coordinates of other workers during the same period. Based on the action type corresponding to the coordinates of other workers, obtain the preset work safety space. Based on the preset work safety space, worker weight, and work experience level, obtain the work safety area of ​​other workers.

5. The method for analyzing complex high-altitude work scenarios in substation operations according to claim 4, characterized in that, S5 includes the following specific steps: The high-altitude work arrangement is judged to be compliant with the standard by comparing the work hazard value of the worker to be evaluated with the work hazard threshold. If the work hazard value of the worker to be evaluated is greater than or equal to the work hazard threshold, the high-altitude work arrangement is judged to be non-compliant and a hazard warning is issued. If the work hazard value of the worker to be evaluated is less than the work hazard threshold, the high-altitude work arrangement is judged to be compliant.

6. A system for analyzing complex high-altitude work scenarios in substation operations, used to implement the method for analyzing complex high-altitude work scenarios in substation operations as described in any one of claims 1-5, characterized in that, include: The equipment fault analysis module is used to collect data from power equipment and analyze the fault conditions of power equipment based on the data. The equipment load analysis module is used to collect high-altitude operation scheduling data and analyze the load status of power equipment based on the high-altitude operation scheduling data. The safety trajectory simulation module is used to collect work data of the workers to be evaluated and to simulate the trajectory changes of the work safety area based on the work data of the workers to be evaluated. The area overlap judgment module is used to divide the work safety zones of other workers based on high-altitude operation scheduling data, and to judge the overlap of work safety zones based on the simulated trajectory changes of the work safety zones of the workers to be evaluated and the work safety zones of other workers. The job hazard analysis module is used to analyze job hazards based on the overlap of safe work areas, power equipment failures, and power equipment load conditions. The arrangement standard analysis module is used to determine whether the high-altitude operation arrangement complies with the standards based on the operational hazards of the workers to be evaluated.

7. 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 operation scenarios in substation operations. The processor is used to call the program instructions in the memory to execute the method for analyzing complex high-altitude operation scenarios in substation operations as described in any one of claims 1-5.

8. A storage medium, characterized in that, The storage medium includes a stored program, wherein, when the program is running, it controls the device where the storage medium is located to execute the method for analyzing complex high-altitude operation scenarios in substation operations as described in any one of claims 1-5.

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