A distribution network operation real scene trace and hierarchical online visa approval method and system

Abstract

The application provides a network distribution operation real scene trace and hierarchical online visa approval method and system, through a multi-level joint determination link of operation task association, intelligent dispatching, field real scene trace, hierarchical approval, and amount closed loop control, dynamic multi-threshold value linkage control from cost estimation, amount closed loop to visa approval is realized, the scene design of project balance critical concurrent application, expired qualification, offline unable to upload, photo tampering, approval opinion conflict, historical data contradiction, concurrent visa conflict, approval timeout silence reduces false reporting and omission, improves trace data reliability, and processes real scene trace reliability monitoring chain and approval timeout and upgrade disposal chain; Realize the whole online of distribution network operation visa, real scene traceability and hierarchical intelligent control means, realize the technical effect of unified real scene trace and hierarchical approval control of different scenes.

Description

Technical Field

[0001] This application relates to the field of digital management technology for power distribution networks, and more specifically, to a method and system for real-time recording and hierarchical online visa approval of power distribution network operations. Background Technology

[0002] As the volume of power distribution network services continues to grow, the requirements for on-site operation management are constantly evolving towards greater refinement. The prominent problems that are gradually emerging in the existing power distribution network management model include: there are gaps in the visa processing procedures for services such as live-line work, automated operation and maintenance, and routine maintenance; the review process lacks unified standards and constraints; and the flow of business data is not smooth, resulting in low overall efficiency in visa approval and processing. Furthermore, the power distribution network operation visa management module is not well adapted to PC and mobile terminals, making it difficult for front-line field workers to conveniently conduct visa processing using mobile devices, and the data linkage and collaboration capabilities between multiple terminals are weak.

[0003] In the prior art, patent CN117313985A discloses a real-time management method and system for on-site work visas. This method establishes a work quantity visa template and synchronizes it to the cloud for unified classification. It combines 360° cameras to scan and photograph the work site, automatically classifies and stores the data based on a smart photo album, and uses information linking to provide mapping relationships. After the work is completed, the user signs and confirms the visa template, and an on-site visa report is automatically generated. However, this solution has the following shortcomings: it only focuses on the electronic registration of visa documents and the classification and storage of on-site photos, without linking the work content to the project budget and cost limits. This makes it impossible to conduct pre-estimate of work costs and closed-loop management of project funds, posing a risk of false reporting of work costs and project overspending. Furthermore, it lacks a cross-verification mechanism for photo metadata and location information, making it impossible to verify the authenticity and validity of on-site work image data.

[0004] Patent CN115170060A discloses a blockchain-based method and system for on-site visa management in power grid engineering. It establishes visa business processes through blockchain smart contracts, enabling online submission, multi-level processing, and standardized approval of power work visa forms. However, this solution has several shortcomings: the visa business processes are pre-fixed by smart contracts according to visa categories, and the approval standards are uniformly fixed. This makes it impossible to dynamically adjust approval rules based on the work risk level, project funding availability, and abnormal on-site scenarios. Furthermore, it lacks automated handling capabilities for special scenarios such as concurrent applications at critical project balances, conflicting opinions among multiple approval roles, and approval timeouts. Additionally, it lacks a risk cascading threshold mechanism, meaning that risks identified in earlier approval stages cannot be progressively mitigated in subsequent stages, resulting in insufficient approval adaptability and risk control capabilities.

[0005] Patent CN106204343A discloses a construction quality monitoring system and method based on a mobile terminal, which supports the use of mobile terminals to capture construction images and record work traces at power operation sites and upload them online to the back-end management system. The shortcomings of this solution are: the on-site photos are only used as basic work record data, and the metadata of exchangeable image files in the exchangeable image file format is not extracted to conduct cross-verification of shooting time and shooting location, and it is unable to identify fraudulent behaviors such as photo tampering, reuse, and cross-device forgery; moreover, it is not adapted to the weak network and network outage operation scenarios in the field of power distribution network, and there is no offline data caching and breakpoint resume mechanism. In areas with unstable network, problems such as loss of visa images and work data and interruption of approval process are prone to occur.

[0006] Specifically, existing technologies have the following technical shortcomings: First, the work content is not strongly related to the project and the work cost is not assessed in advance, making it impossible to quantify and verify the on-site work content, thus posing a risk of false reporting. Second, because the work content is not strictly related to the project, the controllability of the project amount is lacking, which can easily lead to the project amount being used up in advance after the work is completed, posing a risk of not being able to settle the excess amount. Third, the on-site work record-keeping method is simplistic, lacking photo metadata verification and GPS location verification mechanisms, making it difficult to ensure the authenticity of on-site work information. Fourth, visa approval adopts a fixed process and uniform standards, lacking the ability to dynamically adjust for different risk levels and abnormal scenarios, making it difficult to balance approval efficiency and approval quality. Fifth, in areas with unstable on-site network environments, there are problems with data not being able to be uploaded in real time, leading to forced interruption of visa processing or data loss.

[0007] Therefore, there is an urgent need for a power distribution network operation visa management technology solution that can achieve strong correlation between operation content and project, advance cost estimation, on-site real-time traceability, hierarchical approval of visas, and closed-loop control of project funds, in order to solve the problems of low visa approval efficiency, high risk of false reporting and misreporting, and loss of control over project funds in existing technologies. Summary of the Invention

[0008] In view of the above problems, the purpose of this invention is to provide a method and system for real-time tracking and hierarchical online visa approval of power distribution network operations, so as to realize the full online processing, real-time traceability and hierarchical intelligent control of power distribution network operation visas, and achieve the technical effect of unified real-time tracking and hierarchical approval control in different scenarios.

[0009] The first aspect of this application provides a method for real-time recording and tiered online visa approval of power distribution network operations, including the following steps: Based on the distribution network fault work order matching project number, and combined with the material cost and construction cost quota database, the estimated cost value is calculated. The ratio of the remaining investment amount to the estimated cost value is compared with the balance adequacy threshold to determine the number of concurrent work orders, triggering an upward adjustment of the ratio threshold and re-judging. Candidate supervisors are selected from the personnel database based on job type and location. Job supervisors are selected based on qualification coverage, historical quality scores, and job distance. If the matching degree is lower than the threshold, the selection is re-selected. If the balance is insufficient, the qualification threshold is raised and the regional threshold is lowered. If the qualification expires or there is a regional conflict, an alert is issued and the job is reassigned. Obtain the location and time of the work supervisor's check-in, extract metadata of the exchangeable image file format of the photo and associate it with the data entered, compare it with the threshold of the number of photos, the distance threshold of the location, and the time interval threshold, and if any of them are not up to standard, it is determined that the record is incomplete and prompts for supplementation. When there is no network, write it to the encrypted cache and attach a timestamp, and after recovery, upload it in batches and tamper with the judgment. The initial review of the recorded and filled data is conducted by comparing the completion rate of mandatory fields with the completeness threshold. The second review compares the construction cost, material usage, and working hours with the historical average. If the deviation exceeds the threshold, it is marked as abnormal. The final review calculates the cross-validation pass rate. If it is lower than the threshold, it is returned or upgraded. If it is incomplete, the threshold is increased and manual review is added. If the degree of disagreement exceeds the threshold, it is submitted for review. The approved visa forms and attachments are encrypted and stored, and a unique visa number is generated. A traceable index is established with the project number and work order number. The work cost is deducted from the budget ledger and the remaining investment amount is updated. The cumulative count of anomalies is calculated to determine the dynamic upgrade threshold. If the threshold is lower, the approval is upgraded. If the amount of concurrent visas exceeds the proportion of the remaining investment amount, they are suspended according to priority. Record historical check-in locations and time patterns, establish spatial reference center point, radius, and time reference value and dispersion, calculate spatiotemporal deviation, verify the integrity of exchangeable image file formats, positioning consistency and time continuity, calculate credibility and classify with thresholds, and issue warnings and mark when credibility is not high.

[0010] Optionally, in the distribution network operation real-scene recording and hierarchical online visa approval method described in this application, the step of matching the project number according to the distribution network fault operation order, calculating the estimated cost value in conjunction with the material cost and construction cost quota database, comparing the ratio of the remaining investment amount to the estimated cost value with the balance adequacy threshold, determining the number of concurrent visas, triggering an increase in the ratio threshold and re-judging, includes: Match the project number to the type of power distribution network fault work order, obtain the total project budget and the amount already used, and calculate the remaining investment amount; Calculate the estimated cost of this operation based on the material cost quota database and the construction cost quota database; The ratio of the remaining investment to the estimated cost is compared with the ratio sub-threshold T1r in the first-level project balance adequacy threshold T1. If the first ratio is less than the ratio sub-threshold T1r, then the current number of concurrent visa applications is counted and compared with the number of concurrent applications sub-threshold T1c in the first-level project balance sufficiency threshold T1. If the number of concurrent visa applications is greater than or equal to the number of concurrent applications sub-threshold T1c, the ratio sub-threshold T1r is increased from the first preset ratio threshold to the second preset ratio threshold, and the visa application judgment is re-executed according to the increased second preset ratio threshold.

[0011] Optionally, in the distribution network operation real-scene recording and graded online visa approval method described in this application, the step of screening candidate responsible persons from the personnel database according to the operation type and location, screening operation responsible persons based on the qualification coverage, historical quality score and operation distance to calculate the qualification matching coefficient, re-screening when the matching degree is lower than the threshold, raising the qualification threshold and lowering the regional threshold when the balance is insufficient, and issuing warnings and reassigning when the qualification expires or there is a regional conflict, includes: Based on the type and location of the task, candidate supervisors who meet the preset criteria are selected from the personnel database. Based on the coverage of each candidate's job qualifications, historical job quality scores, and job distance data, the corresponding qualification matching coefficient is calculated. The candidate responsible persons are ranked according to the qualification matching coefficient, and the candidate responsible person with the highest score is selected as the operation responsible person; The qualification matching degree coefficient is compared with the qualification matching degree sub-threshold T2q of the second-level assignment matching threshold T2. When the qualification matching degree coefficient is less than T2q, the candidate screening and task assignment are re-executed. When the first ratio is less than the ratio sub-threshold T1r, the qualification matching degree sub-threshold T2q is increased from the third preset matching threshold to the fourth preset matching degree threshold, and the regional matching degree sub-threshold T2g of the second-level dispatch matching threshold T2 is decreased and filtered again. When the remaining validity period of the qualification of the person in charge of the operation is less than the preset warning days, a qualification expiration warning will be sent. When the distance between multiple work assignment locations of the work supervisor is greater than the regional matching threshold T2g, it is determined to be a work assignment regional conflict. The assigned work task is cancelled and a new candidate supervisor for the assigned work task is selected.

[0012] Optionally, in the method for real-time tracking and tiered online visa approval of power distribution network operations described in this application, the steps of obtaining the location and time of the work supervisor's attendance, extracting metadata of the exchangeable image file format of the photos and associating it with the reported data, comparing it with thresholds for the number of photos, location distance, and time interval, and determining that the tracking is incomplete if any of these thresholds are not met, prompting for supplementation, writing to an encrypted cache with a timestamp when there is no network, and batch uploading and tampering determination after recovery include: Obtain the check-in location information and check-in time of the person in charge of the work site, calculate the deviation between the check-in location information and the preset location on the work order, and determine the check-in result based on the deviation; Based on the panoramic photos, detailed photos of the operation, and material photos taken during the operation, metadata in an exchangeable image file format is extracted for each photo. The metadata includes the shooting time, location coordinates, and equipment model. Obtain the data filled in by the person in charge of the work, including the list of construction materials, the quantity of materials, and the details of construction costs, and associate the data with the photos taken. Obtain the T3 threshold set, including the shooting quantity threshold T3p, the work location distance threshold T3g, and the check-in shooting time interval threshold T3t. Compare the T3 threshold set with the number of photos taken, the check-in location information, and the check-in shooting time interval, respectively. If any of the following comparison criteria are met: the number of photos taken is less than T3p, the deviation distance of the check-in location information is greater than T3g, or the check-in shooting time interval is greater than T3t, then the real-scene trace is determined to be incomplete and a prompt will be made to collect supplementary or adjusted data. When the qualification matching coefficient is less than T2q, the shooting quantity threshold T3p is increased from the first preset number of shots to the second preset number of shots, the work location distance threshold T3g is tightened from the third preset distance to the fourth preset distance, and the judgment is performed again. When there is no network, the attendance records, photos, and data are written to a local encrypted cache, and a timestamp signature is attached to each cached record. After the network is restored, the data is uploaded in batches according to the timestamp order. The server uses the timestamp chain and device identifier to determine whether the cached data has been tampered with.

[0013] Optionally, in the method for real-time tracking and graded online visa approval of power distribution network operations described in this application, the preliminary review of the tracking and data entry, the comparison of the mandatory completion rate with the completeness threshold, the secondary review comparing the construction cost, material usage, and working hours with historical averages, marking anomalies when deviations exceed the threshold, the final review calculating the cross-validation pass rate, returning or upgrading when it is below the threshold, raising the threshold and adding manual review when incomplete, and submitting for review when the degree of divergence exceeds the threshold, includes: The real-scene data and the data entered are initially reviewed, and the completion rate of the required information is compared with the preset approval completeness sub-threshold T4c. The work costs and material usage are reviewed. The construction costs, material usage and working hours of the current visa data are compared with the historical average of similar work in the historical visa database to obtain the deviation ratio. When the fused deviation ratio is greater than the preset historical data consistency sub-threshold T4h, the current visa is marked as abnormal and a supplementary request is sent to the work manager. The project amount and visa compliance are subject to final review, and the cross-validation pass rate is calculated. When the cross-validation pass rate is less than the preset cross-validation pass rate sub-threshold T4s, the approval is returned or upgraded. When the real-scene trace is determined to be incomplete, the T4s is increased from the first preset ratio value to the second preset ratio value, and the manual review ratio is increased to the preset ratio before approval is executed; Calculate the degree of disagreement at each level of approval. When the degree of disagreement exceeds the preset degree of disagreement threshold, submit the visa application for review.

[0014] Optionally, in the method for real-time tracking and tiered online visa approval for power distribution network operations described in this application, the steps of encrypting and storing approved visa forms and attachments and generating unique visa numbers, establishing a traceable index with project number and work order number, deducting work costs from the budget ledger and updating the remaining investment amount, calculating a dynamic upgrade threshold based on the cumulative count of anomalies, upgrading approval when the threshold is lower, and suspending concurrent visa applications according to priority when the total amount of concurrent visas exceeds a certain percentage of the remaining investment amount include: The approved visa forms and their attachments are encrypted and stored, a unique visa number is generated, and a traceable index is established between the visa number and the project number and work order number. The operating costs for this visa will be deducted from the project budget ledger, the remaining investment amount of the project will be updated, and the remaining investment amount of the project after deduction, the visa number, and the attachment data will be verified. Calculate the cumulative count of abnormal cases (T4a) and the dynamic approval upgrade threshold (T5d). When the approval score of a visa application is lower than the dynamic approval upgrade threshold T5d, the visa application will be upgraded to the next higher approval node. The overall severity score Ss is calculated based on the frequency of approval delays, the duration of delays, and the proportion of visa amount. Calculate the allowable deviation threshold T6e, and tighten project amount control when the actual number of deviations exceeds T6e. When multiple visas are in the approval process at the same time, the sum of the estimated costs of each visa is used as the total amount of concurrent visas. When the total amount of concurrent visas exceeds a preset percentage of the remaining investment amount, the lower priority visas are suspended according to their priority.

[0015] Optionally, in the method for real-time tracking and graded online visa approval of power distribution network operations described in this application, the steps of recording historical check-in locations and time patterns, establishing spatial reference center points, radii, and time reference values ​​and dispersion, calculating spatiotemporal deviations, verifying the integrity, positioning consistency, and temporal continuity of exchangeable image file formats, calculating credibility and grading it with thresholds, and issuing warnings and marking when credibility is not met, include: Record the historical check-in location distribution and historical operation time patterns of the person in charge of the operation within the preset historical time period, and establish the spatial reference center point, spatial reference radius, time reference center value, and time reference dispersion of the person in charge of the operation. The check-in spatiotemporal deviation value Db is calculated based on the first ratio of the spatial distance ds from the current check-in positioning coordinates to the spatial reference center point to the spatial reference radius Rs, and the second ratio of the time difference dt between the current check-in time and the time reference center value to the time reference dispersion σt. Extract exchangeable image file format metadata for each photo, verify the integrity of the metadata, verify the location consistency between the check-in location information and the photo location coordinates, and verify the time series continuity between the check-in time and the photo shooting time. The traceability reliability score Cs is calculated based on the metadata integrity, location consistency, time series continuity, and check-in time and space deviation value. The trace credibility score is compared with a preset credibility status threshold set to obtain the trace credibility status, including credible, pending verification, under verification and untrustworthy. When the credibility score of the record is lower than the preset credibility lower limit threshold, it is identified as an untrustworthy state, an early warning is sent to the approval terminal, and the corresponding visa form is marked as a key verification form.

[0016] Secondly, this application provides a system for real-time tracking and tiered online visa approval of power distribution network operations, including: The task association and cost estimation module is used to associate the power distribution network work order with the corresponding project, obtain the remaining investment amount of the project, calculate the estimated cost of the work, and determine whether the ratio of the remaining investment amount to the estimated cost is less than the ratio sub-threshold. The intelligent dispatching and task receiving module is used to filter the person in charge of the task and dispatch the task, determine whether the qualification matching score is less than the qualification matching sub-threshold, and raise the qualification matching sub-threshold when the ratio sub-threshold is triggered. The on-site real-scene recording module is used to collect check-in location information, check-in time, on-site operation photos and data, determine whether the real-scene recording is complete, and increase the shooting quantity threshold and tighten the operation location distance threshold when the qualification matching sub-threshold is triggered. The tiered visa approval module is used to perform preliminary review, secondary review and final review, perform data cross-validation and historical data comparison, and increase the preset cross-validation pass rate sub-threshold when the real-scene trace is incomplete; The visa completion and project amount closed-loop management module is used for visa archiving and project amount deduction. It calculates the dynamic approval upgrade threshold based on the cumulative count of anomalies and calculates the allowable deviation threshold based on the comprehensive severity score. When the actual number of deviations exceeds the threshold, project amount control is tightened. The Real-Scene Traceability Confidentiality Monitoring Module is used to monitor the credibility of real-scene traceability data and calculate and output a traceability credibility score to identify the status of traceability credibility. The approval timeout and escalation handling module is used to monitor the time spent on approvals at all levels and output the escalation handling status.

[0017] Optionally, the power distribution network operation real-time recording and graded online visa approval system described in this application also includes: Threshold linkage device, including: The threshold configuration unit is used to store the default parameters and dynamic adjustment rules for each threshold. The threshold monitoring unit is used to monitor the threshold trigger events of each module and broadcast them to downstream modules; The dynamic adjustment engine is used to calculate new parameter values ​​for the downstream threshold according to the dynamic adjustment rules after receiving an upstream threshold trigger event and send them to the corresponding module. The threshold status display unit is used to display the current value, trigger status, and linkage relationship of each threshold in real time; The dynamic adjustment rules include: When T1r is triggered, T2q is increased and T2g is tightened; When T2q is triggered, T3p is increased and T3g is tightened; When the real-scene recording is incomplete, T4s will adjust the settings and increase the proportion of manual review. When T4a increases, the upgrade trigger score is reduced according to the calculation formula of T5d; When Ss increases, the allowable deviation number is tightened according to the calculation formula of T6e.

[0018] Optionally, in the distribution network operation real-time tracking and hierarchical online visa approval system described in this application, the system further includes a memory and a processor. The memory includes a distribution network operation real-time tracking and hierarchical online visa approval method program. When the distribution network operation real-time tracking and hierarchical online visa approval method program is executed by the processor, it implements any of the steps of the distribution network operation real-time tracking and hierarchical online visa approval method described above.

[0019] As can be seen from the above, the method and system for real-time recording and tiered online visa approval of power distribution network operations provided in this application achieve the following beneficial effects: (1) Multiple thresholds run through the entire chain to realize dynamic intelligent control of visa approval. From cost estimation to amount closed loop, each threshold triggers and drives the subsequent threshold to dynamically adjust, forming a complete cascaded judgment chain. Compared with the existing technology's fixed process and unified standard approval method, the visa approval efficiency is significantly improved, while the approval error rate is reduced. (2) Multi-scenario processing realizes reliable measures to deal with probability problems. For probability events such as critical concurrent application of project balance, expired qualification, inability to upload offline, photo tampering, conflict of approval opinions, contradiction of historical data, concurrent visa conflict, and approval timeout silence, the false reporting and underreporting rate is reduced and the credibility of on-site trace data is improved by the superposition and nesting of the chain threshold. (3) Multiple logic chains work together to ensure visa approval in all aspects. Through the parallel coordination of main visa approval, real-scene trace credibility monitoring and approval timeout and upgrade handling, the response time for trace anomaly detection is shortened and approval timeout is automatically upgraded.

[0020] Other features and advantages of this application will be set forth in the following description and will be apparent in part from the description or may be learned by practicing embodiments of this application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 A flowchart illustrating a method for real-time tracking and tiered online visa approval of power distribution network operations, as described in this application. Figure 2 A high-level flowchart illustrating a method for real-time tracking and tiered online visa approval of power distribution network operations, provided as an embodiment of this application; Figure 3 This is a schematic diagram of the module structure of a power distribution network operation real-time tracking and hierarchical online visa approval system according to this application. Detailed Implementation

[0023] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0024] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0025] In addition, the functional modules in the various embodiments of the present invention can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0026] Firstly, please refer to Figure 1 , Figure 1 This is a flowchart illustrating a method for real-time tracking and tiered online approval of distribution network operations, as described in this application. This method is used in terminal devices such as computers and mobile terminals. The method includes the following steps: S1 matches the project number with the distribution network fault work order, calculates the cost estimate by combining the material cost and construction cost quota database, compares the ratio of the remaining investment amount to the cost estimate with the balance adequacy threshold, determines the number of concurrent visas, triggers the increase of the ratio threshold and re-determines; S2 selects candidate supervisors from the personnel database based on job type and location, and selects job supervisors based on qualification coverage, historical quality scores and job distance. When the matching degree is lower than the threshold, it re-selects. When the balance is insufficient, it raises the qualification threshold and lowers the regional threshold. When the qualification expires or there is a regional conflict, it issues an alert and reassigns the job. S3 obtains the location and time of the work supervisor's check-in, extracts metadata of the exchangeable image file format of the photo and associates it with the data entered. It compares the data with the thresholds for the number of photos, the distance to the location, and the time interval. If any of the thresholds are not met, the record is judged to be incomplete and prompts for supplementation. When there is no network, it writes to the encrypted cache and adds a timestamp. After recovery, it uploads in batches and determines whether it has been tampered with. S4 performs a preliminary review of the recorded and submitted data, comparing the completion rate of mandatory fields with the completeness threshold. The second review compares the construction cost, material usage, and working hours with the historical average. When the deviation exceeds the threshold, it is marked as abnormal. The final review calculates the cross-validation pass rate. If it is lower than the threshold, it is returned or upgraded. If it is incomplete, the threshold is raised and manual review is added. If the degree of disagreement exceeds the threshold, it is submitted for review. S5 encrypts and stores the approved visa forms and attachments and generates a unique visa number. It establishes a traceable index with the project number and work order number, deducts the work cost from the budget ledger and updates the remaining investment amount, calculates the cumulative count of anomalies and dynamically upgrades the threshold. When the threshold is lower, the approval is upgraded. When the amount of concurrent visas exceeds the proportion of the remaining investment amount, they are suspended according to priority. The S6 records historical check-in locations and time patterns, establishes spatial reference center points, radii, and time reference values ​​and dispersion, calculates spatiotemporal deviations, verifies the integrity of exchangeable image file formats, positioning consistency, and time continuity, calculates credibility and classifies it with thresholds, and issues warnings and marks when credibility is not found.

[0027] It should be noted that the technology of this invention achieves a complete cascading judgment method from cost estimation to amount closure through the dynamic adjustment of a six-level multi-threshold chain: S1 job task association and cost estimation, S2 intelligent dispatching and task reception, S3 on-site real-scene recording, S4 hierarchical visa approval, S5 visa completion and project amount closed-loop control, and S6 real-scene recording credibility identification. Since there is a risk transmission relationship between each link in the visa approval process, abnormal signals in the preceding link indicate an increased risk in the following link. Therefore, when the preceding threshold is triggered, the strictness of the following threshold is dynamically increased to intercept risks with stricter standards, achieving step-by-step risk amplification and control. Specifically, S1 receives the distribution network work order and associates it with the project, calculates the estimated cost, and executes the T1 balance. The process is as follows: S2 executes intelligent work assignment based on the T1 result and performs T2 matching degree determination; S3 collects on-site real-scene traces and performs T3 integrity determination; S4 executes three-level approval and performs T4 consistency determination; S5 completes visa archiving and amount deduction and performs T5 / T6 closed-loop verification; S6 implements the real-scene trace credibility monitoring step and the approval timeout upgrade handling step. For example, if the project balance is tight (T1 trigger), it means that the cost risk is increased. At this time, the work assignment matching degree requirement is increased (T2 tightening) to select better personnel to reduce the operational risk. If the work assignment matching degree is insufficient (T2 trigger), it means that the operational quality risk is increased. At this time, the traceability requirement is increased (T3 tightening). According to the embodiment of the present invention, the total budget of a power distribution network renovation project is 1 million yuan, and 820,000 yuan has been used. A fault repair work order with an estimated cost of 150,000 yuan has a ratio of 18 / 15 = 1.20, which is higher than the T1r threshold of 1.15, allowing the issuance of a visa. However, the system detects that there are already two concurrent applications, so the T1r is adjusted from 1.15 to 1.25. The ratio of 1.20 is then re-evaluated as being lower than 1.25, and the new visa is suspended. Through the chain adjustment of multi-level thresholds, visa approval efficiency is significantly improved, the approval error rate is reduced, and the risk of project overruns is reduced.

[0028] It should be noted that the preset thresholds and preset coefficients involved in this application are all calibrated using a unified method. The calibration process includes: ① Sample collection: collecting data on completed and settled work orders for similar operations within a preset historical time period (default is the last 12 months), with a sample size of no less than 30; ② Anomaly removal: using the interquartile range method to remove samples falling outside the interval [Q1 - 1.5 × IQR, Q3 + 1.5 × IQR], where Q1 and Q3 are the first and third quartiles of the indicator, respectively, and IQR = Q3 - Q1; ③ Statistical calculation: calculating the statistic for the removed samples. This calculation includes the mean, standard deviation, and quantiles; ④ Value selection rules: For lower limit thresholds (such as matching degree, pass rate), the 10th percentile P10 of the sample distribution is used as the initial value; for upper limit thresholds (such as deviation ratio), the 90th percentile P90 is used as the initial value; for comparison thresholds, the 75th percentile P75 is used and multiplied by a safety margin coefficient of 1.05; ⑤ Trial operation correction: During the system trial operation period (default 30 days), the false alarm rate and false negative rate of each threshold are statistically analyzed. The thresholds are fine-tuned monthly by no more than ±10% of the initial value, and the adjustment log is recorded to ensure the traceability of the thresholds. The initial values ​​and ranges of each preset threshold and preset coefficient are as follows: 1. First preset ratio threshold T1r: The default value is 1.15, with a range of 1.05 to 1.30. The calibration is based on the distribution of the ratio of "estimated cost / remaining investment amount of the project at the time of visa initiation" calculated from settled visas within the past 12 months. The 75th percentile P75 is taken and multiplied by the safety margin coefficient of 1.05, i.e., T1r = P75 × 1.05.

[0029] 2. Step size Δr for adjusting the ratio threshold: Δr = 0.10, with a range of 0.05 to 0.20. The calibration basis is the average percentage deviation of the sum of the estimated costs of each concurrent visa application in the concurrent application scenario relative to the remaining investment amount of the project, that is, the second preset ratio threshold = the first preset ratio threshold + Δr = 1.15 + 0.10 = 1.25.

[0030] 3. Concurrent Request Count Sub-threshold T1c: Default value is 3, with a range of 2 to 5. The calibration is based on the concurrent processing capacity of the project approval channel and the 90th percentile (P90) of the historical concurrent request count distribution.

[0031] 4. Qualification matching degree threshold T2q: The default value is 0.85, with a range of 0.75 to 0.95. The calibration is based on the rework rate constraint P_rework≤P0×(1-T2q), where P0 is the baseline rework rate obtained from historical work orders, i.e., the rework rate when the qualification matching degree coefficient is zero. In this scheme, P0=0.25; the upper limit of the acceptable rework rate is taken as 3.75%, and the inverse solution yields T2q=1-0.0375 / 0.25=0.85.

[0032] 5. Adjustment of qualification matching threshold Δq: Δq = 0.05, with a value range of 0.03 to 0.08. The calibration basis is to tighten the upper limit of the acceptable rework rate from 3.75% to 2.50%. By inversely solving the same constraint formula, we get T2q = 1 - 0.0250 / 0.25 = 0.90, that is, Δq = 0.05.

[0033] 6. Regional matching threshold T2g: The default value is 30 kilometers, with a range of 20 to 50 kilometers. The calibration is based on the average regional travel speed. The product of (default speed 40 km / h) and the maximum acceptable one-way travel time (default 0.75 hours) is T2g = 40 × 0.75 = 30 km.

[0034] 7. Tightening of the regional matching threshold Δg: Δg = 5 km, with a value range of 3 km to 8 km. The calibration basis is to tighten the upper limit of one-way travel time from 0.75 hours to 0.625 hours, that is, after tightening, T2g = 40 × 0.625 = 25 km.

[0035] 8. Load sub-threshold T2l: The default value is 3, and the range is 2 to 5. The calibration basis is the critical value in historical data where the job quality score does not significantly decrease when the number of concurrent tasks for the same job supervisor increases.

[0036] 9. Threshold for the number of photos taken (T3p): The default is 3 photos, including at least one panoramic photo, one photo of the work details, and one photo of the materials. The value range is 3 to 6 photos. The calibration is based on the constraint formula for detecting forgery by leaving traces: P_det = 1 - (1 - p)^n ≥ 0.98. The detection probability of a single photo is p = 0.75. Solving this inversely, we get n ≥ ln0.02 / ln0.25 ≈ 2.82, which is rounded up to 3.

[0037] 10. Increase in the number of shots threshold Δp: Δp = 2 shots. The calibration is based on increasing the target detection probability from 98% to 99.9%. By inversely solving the same constraint, we get n ≥ ln0.001 / ln0.25 ≈ 4.98, which is rounded up to 5, i.e., Δp = 5 - 3 = 2.

[0038] 11. Work location distance threshold T3g: Default value is 50 meters, with a range of 20 to 100 meters. The calibration is based on the sum of the 95% confidence radius of the civilian positioning horizontal error of the satellite navigation and positioning system (approximately 10 meters) and the reasonable activity radius of the on-site work point (approximately 40 meters).

[0039] 12. Tightening amount Δg′ of the work site distance threshold: Δg′ = 20 meters. The calibration basis is to tighten the reasonable activity radius of the on-site work point from 40 meters to 20 meters, that is, after tightening, T3g = 30 meters.

[0040] 13. Threshold for check-in and photo shooting time interval T3t: The default value is 10 minutes, with a range of 5 to 30 minutes. The calibration is based on the 95th percentile (P95) of the measured statistical value of the preparation time from check-in completion to the first photo shooting.

[0041] 14. Approval completeness sub-threshold T4c: Default value is 100%. The standard is based on the requirement that all required information is complete, which is the bottom line requirement for visa compliance and cannot be relaxed.

[0042] 15. Historical data consistency sub-threshold T4h: Default value is 15%, with a range of 10% to 25%. The calibration is based on the 90th percentile (P90) of the distribution of historical similar operation fusion deviation ratios.

[0043] 16. Cross-validation pass rate sub-threshold T4s: Default value is 95%, with a range of 90% to 98%. The calibration is based on the 10th percentile P10 of the historical visa single cross-validation pass rate distribution, which allows for approximately 10% normal fluctuation; it is increased to 98% when there are abnormalities in the real-scene record.

[0044] 17. Disagreement threshold: 30% by default, with a range of 20% to 40%. The calibration is based on the 90th percentile (P90) of the historical multi-level approval inconsistency rate.

[0045] 18. Manual review ratio: 10% by default, increased to 30% when there are abnormalities in the real-scene record. The benchmark is the ratio of the average daily processing capacity of the manual review position to the average daily number of visa applications.

[0046] 19. Preset upgrade trigger score T5t: Default is 0.90, with a range of 0.80 to 0.95. The calibration is based on the 90th percentile (P90) of the historical visa application score distribution. The approval score is calculated as a weighted sum of the scores at each level, i.e., Approval Score = 0.25 × Initial Review Score + 0.35 × Secondary Review Score + 0.40 × Final Review Score. The approval score for each level is equal to the ratio of the number of approved items at that level to the total number of approved items at that level.

[0047] 20. Calculation parameters for dynamic upgrade threshold: adjustment coefficient a = 0.15, normalization constant K = 5, dynamic approval upgrade threshold T5d = T5t - a × min(T4a / K, 1).

[0048] 21. Comprehensive severity scoring parameters: weighting coefficients w1 = 0.20, w2 = 0.40, w3 = 0.40, and w1 + w2 + w3 = 1; reference duration Dr = 12 hours; reference amount percentage Ar = 20%; comprehensive severity score is truncated to the upper limit of 4, i.e., Ss = min(4, w1×F + w2×D / Dr + w3×A / Ar).

[0049] 22. Allowable deviation number threshold parameter: Default number of transactions Nd = 3, adjustment coefficient β = 0.5, allowable deviation number threshold T6e = Nd - β × Ss, and the final allowed number of suspended deviation transactions is the rounded-up value of T6e and not less than 1.

[0050] 23. Priority scoring parameters: weight coefficients ω1=0.5, ω2=0.2, ω3=0.3, and ω1+ω2+ω3=1; severity normalization benchmark is 4; approval time limit Tsla defaults to 48 hours.

[0051] 24. Concurrent Amount Suspension Threshold: The default value is 80% of the remaining investment amount of the project, with a range of 70% to 90%. The benchmark is based on the critical value of the proportion of concurrent amount corresponding to the project's overdraft event in historical concurrent scenarios.

[0052] 25. Traceability credibility scoring parameters: λ1∈[0.30, 0.50], λ2∈[0.05, 0.20], λ3∈[0.10, 0.30], λ4∈[0.20, 0.40], and λ1+λ2+λ3+λ4=1; the upper limit of the unreliable interval, 0.55, is the preset credibility lower limit threshold.

[0053] According to an embodiment of the present invention, step S1 matches the project number based on the distribution network fault work order, calculates the estimated cost value in conjunction with the material cost and construction cost quota database, compares the ratio of the remaining investment amount to the estimated cost value with the balance adequacy threshold, determines the number of concurrent work orders, triggers an increase in the ratio threshold, and re-determines, including: Match the project number to the type of power distribution network fault work order, obtain the total project budget and the amount already used, and calculate the remaining investment amount; Calculate the estimated cost of this operation based on the material cost quota database and the construction cost quota database; The ratio of the remaining investment to the estimated cost is compared with the ratio sub-threshold T1r in the first-level project balance adequacy threshold T1. If the first ratio is less than the ratio sub-threshold T1r, then the current number of concurrent visa applications is counted and compared with the number of concurrent applications sub-threshold T1c in the first-level project balance sufficiency threshold T1. If the number of concurrent visa applications is greater than or equal to the number of concurrent applications sub-threshold T1c, the ratio sub-threshold T1r is increased from the first preset ratio threshold to the second preset ratio threshold, and the visa application judgment is re-executed according to the increased second preset ratio threshold.

[0054] It should be noted that by strongly linking the work content with the project budget, and through pre-estimated costs and balance adequacy thresholds, the risk of overspending can be intercepted before the visa application is initiated. Simultaneously, concurrent application linkage can automatically increase the threshold strictness when multiple visa applications lead to balance shortages. Linking distribution network work orders with projects involves parsing the work order types, including fault orders, defect orders, and hidden danger orders. Based on the work order type, the corresponding project number is matched to obtain the project's total budget and used amount. The remaining investment amount is then calculated as: Total Project Budget - Used Amount. Material unit prices are retrieved from the material cost quota database based on the work order type, and construction hourly rates are retrieved from the construction cost quota database. The accumulated material and construction costs are calculated based on the work scale, and their sum is used as the cost estimate. Finally, the first ratio is calculated and compared with T... The T1r comparison determines whether to issue an insufficient balance warning. For example, a power distribution network renovation project has a total budget of 1 million yuan, of which 820,000 yuan has been used, leaving 180,000 yuan in remaining investment. A fault repair work order is available, with an estimated cost of 150,000 yuan. The ratio = 180,000 / 150,000 = 1.20, which is higher than the T1r threshold of 1.15, allowing the initiation of a visa application. However, when the application is initiated, the system detects that two concurrent visa applications are already in the approval process. After this application is initiated, the number of concurrent applications will reach the T1c concurrent application sub-threshold of 3. At this point, T1r is automatically adjusted from 1.15 to 1.25, and a reassessment is performed. The ratio 1.20 is lower than the adjusted threshold of 1.25, so the new visa application is suspended until the existing approvals are completed and reassessed. Through the T1 balance adequacy threshold and its concurrent linkage, the risk of project overspending is made more controllable.

[0055] The field structures of the material cost quota database and the construction cost quota database, as well as the mapping relationship of the cost estimates, are as follows: (1) The fields of the material cost quota database include: material code, material name, specifications, unit of measurement, unit price of material (yuan / unit of measurement), loss coefficient, applicable work type code, and applicable voltage level; (2) The fields of the construction cost quota database include: quota number, work procedure name, unit of measurement, labor man-day quota (man-day / unit of measurement), labor unit price (yuan / man-day), machinery shift quota (shift / unit of measurement), machinery shift unit price (yuan / shift), applicable work type code, and applicable voltage level; (3) Mapping relationship: After parsing the distribution network fault work order, the set of work scale parameters S = {s1, s2, ..., sn} is obtained, where each work scale parameter si carries its unit of measurement; the system retrieves the quota record matching the field from the two quota databases according to "work type code + voltage level", the material cost is matched item by item according to the material code, and the construction cost is matched item by item according to the quota number. That is, the work scale parameter can only participate in the accumulation when the unit of measurement of the work scale parameter is consistent with the unit of measurement of the quota record. If the units of measurement are inconsistent, they are first converted to the same unit of measurement according to the unit of measurement conversion rules. (4) The estimated cost Cest is calculated by the following formula: Cest=Σi(material unit price i×quantity i×(1+loss coefficient i))+Σj(labor man-day quota j×labor unit price j+machine shift quota j×machine shift unit price j)×work quantity j, where i is the material item number and j is the construction quota item number; (5) Rounding rule: After Cest is calculated, it is rounded up according to the preset level (the default is 0.5 million yuan level) to obtain the reported cost estimate. The rounded result is used as the input for comparison with the remaining investment amount in S1.

[0056] According to an embodiment of the present invention, step S2 filters candidate supervisors from a personnel database based on job type and location, filters job supervisors based on qualification coverage, historical quality scores, and job distance by calculating a qualification matching coefficient, re-filters when the matching coefficient is lower than a threshold, raises the qualification threshold and lowers the regional threshold when the balance is insufficient, and issues an alert and reassigns supervisors when qualifications expire or there is a regional conflict. This includes: Based on the type and location of the task, candidate managers who meet the preset criteria are selected from the personnel database. Based on the coverage of each candidate's job qualifications, historical job quality scores, and job distance data, the corresponding qualification matching coefficient is calculated. The candidate responsible persons are ranked according to the qualification matching coefficient, and the candidate responsible person with the highest score is selected as the operation responsible person; The qualification matching degree coefficient is compared with the qualification matching degree sub-threshold T2q of the second-level assignment matching threshold T2. When the qualification matching degree coefficient is less than T2q, the candidate screening and task assignment are re-executed. When the first ratio in S1 is less than the ratio sub-threshold T1r, the qualification matching degree sub-threshold T2q is increased from the third preset matching threshold to the fourth preset matching degree threshold, and the regional matching degree sub-threshold T2g of the second-level dispatch matching threshold T2 is decreased and filtered again. When the remaining validity period of the qualification of the person in charge of the operation is less than the preset warning days, a qualification expiration warning will be sent. When the distance between multiple work assignment locations of the work supervisor is greater than the regional matching threshold T2g, it is determined to be a work assignment regional conflict. The assigned work task is cancelled and a new candidate supervisor for the assigned work task is selected.

[0057] It should be noted that the qualification matching assessment achieves optimal matching between job tasks and job supervisors. Through T1-triggered linkage, the assignment standards are automatically raised when project funds are tight, and selecting higher-quality personnel from nearby locations reduces operational risks. Simultaneously, it provides early warnings and reassignments for two probabilistic issues: expired qualifications and geographical conflicts. Candidate job supervisors meeting the requirements are selected from the database based on job type and location. The qualification matching coefficient is obtained through normalization and summation based on each candidate supervisor's job qualification coverage, historical quality scores for similar jobs, and geographical distance. These coefficients are then sorted in descending order to obtain the highest matching coefficient. The top-ranked candidate is selected as the task leader, and the task is assigned to the terminal. The confirmation time and terminal type upon receiving the task are recorded. Furthermore, the candidate's qualification matching coefficient is compared with the qualification matching sub-threshold T2q in the second-level task assignment matching threshold T2. If the coefficient is less than T2q, candidate screening and task assignment must be re-executed. The second-level task assignment matching threshold T2 includes the personnel qualification matching sub-threshold T2q, the geographical matching sub-threshold T2g, and the load sub-threshold T2l (in this scheme, the preset value of T2q is 0.85, meaning the personnel qualification matching score is not less than 0.85; the preset value of T2g is 30km, meaning...). The distance between the work site and the person in charge's location should not exceed 30km. The preset value of T2l is generally set to 3, meaning that the number of tasks executed by the same person in charge at the same time should not exceed 3. When T1 is triggered, T2 automatically tightens the matching requirements and the geographical distance requirements to ensure that when the project balance is tight, more suitable and closer personnel are selected to improve work efficiency and quality. This forms the first-level linkage of T1 triggering T2 dynamic adjustment, realizing a solution to the probability problem of expired qualifications or geographical conflicts of dispatched personnel, detecting the validity period of qualifications and issuing early warnings, and detecting geographical conflicts of tasks through T2g and re-dispatching; according to the embodiments of the present invention, A work order is for cable fault repair. The work location is 28km from Personnel A's post. Personnel A holds an advanced cable repair certificate and has a historical rating of 0.91 for similar work. Currently, Personnel A has two tasks on their roster, so the matching coefficient is 0.88. If T1 is not triggered, the T2q threshold remains at the set value of 0.85, and Personnel A meets the conditions for normal work assignment. If T1 is triggered, T2q is automatically increased to 0.90. Personnel A's matching coefficient is lower than the adjusted threshold, so the system recommends Personnel B with a matching coefficient of 0.93 but a distance of 35km. However, T2g is then reduced from 30km to 25km, and Personnel B's distance exceeds the limit. The final recommended matching coefficient is 0.Personnel C, located 22km away, was detected to have an expired cable technician's certificate with only 5 days remaining. The system simultaneously sent a certificate expiration warning to Personnel D's app and management terminal. By tightening the T2 dispatch matching threshold and T1 trigger linkage, the accuracy of personnel and task selection was improved, ensuring precise matching and effectively reducing rework rates due to mismatched personnel qualifications. This also reduced compliance risks caused by qualification issues.

[0058] The qualification matching coefficient Q is calculated using the following formula: .in, The qualification coverage is equal to the ratio of the number of valid qualifications held by the candidate responsible person that match the work order type and voltage level to the total number of qualifications required for that work type, and the value ranges from 0 to 1. The historical work quality score is equal to the arithmetic mean of the acceptance scores of similar work in the preset historical time period for the candidate in charge, and normalized to 0 to 1 according to the upper limit of the score; d is the road network distance from the candidate in charge's station to the work site, in kilometers; The preset geographical distance benchmark is set at 60 kilometers; The score represents the geographical distance, ranging from 0 to 1. To preset the qualification coverage weighting coefficient, To preset the historical quality weighting coefficient, The preset geographical distance weighting coefficient is used, and In this plan Take 0.40, Take 0.40, Take 0.20.

[0059] The logic for setting the above weighting coefficients is as follows: using historical work orders as the sample set, for each sample... The values ​​of the three factors and the corresponding rework markers for the sample are used to calculate the information entropy and variance contribution rates of the three factors to the rework markers using the entropy weight method. After normalizing the contribution rates, initial weights are obtained. These weights are then corrected by expert scoring from operation and maintenance and safety management professionals. The final weights must meet the following requirements. In engineering practice, the ranges of the three weighting coefficients are as follows: When a candidate for person in charge or When data is missing, the missing items are substituted with the historical average of similar personnel and marked in the work assignment record.

[0060] Furthermore, the linkage between T1 and T2 is as follows: Define the operational risk index. Empirical model of rework probability ,in The baseline rework rate, calculated based on statistics of similar work orders over the past 12 months, is used when the qualification matching constraint is zero. This solution adopts... The constraint "Q≥T2q" on Q, which is related to T2q, is equivalent to the upper bound constraint on the rework probability. When T1 is triggered, T2q is increased from 0.85 to 0.90, which means the upper bound of the acceptable rework probability is tightened from 0.25×(1-0.85)=3.75% to 0.25×(1-0.90)=2.50%. Regarding the geographical constraint, from "d≤T2g", we can obtain... The travel time will be Substitute ( (The average travel speed in the area is taken as 40 km / h by default). Tightening T2g from 30 km to 25 km is equivalent to tightening the upper limit of the one-way travel time from 0.75 hours to 0.625 hours.

[0061] According to an embodiment of the present invention, step S3 obtains the location and time of the work supervisor's attendance, extracts metadata of the photo exchangeable image file format and associates it with the reported data, compares it with a threshold for the number of photos taken, a threshold for the distance between locations, and a threshold for the time interval. If any threshold is not met, it is determined that the record is incomplete and prompts for supplementation. When there is no network, it is written to an encrypted cache and a timestamp is attached. After recovery, it is uploaded in batches and tampering is detected, including: Obtain the check-in location information and check-in time of the person in charge of the work site, calculate the deviation between the check-in location information and the preset location on the work order, and determine the check-in result based on the deviation; Based on the panoramic photos, detailed photos of the operation, and material photos taken during the operation, metadata in an exchangeable image file format is extracted for each photo. The metadata includes the shooting time, location coordinates, and equipment model. Obtain the data filled in by the person in charge of the work, including the list of construction materials, the quantity of materials, and the details of construction costs, and associate the data with the photos taken. Obtain the T3 threshold set, including the shooting quantity threshold T3p, the work location distance threshold T3g, and the check-in shooting time interval threshold T3t. Compare the T3 threshold set with the number of photos taken, the check-in location information, and the check-in shooting time interval, respectively. If any of the following comparison criteria are met: the number of photos taken is less than T3p, the deviation distance of the check-in location information is greater than T3g, or the check-in shooting time interval is greater than T3t, then the real-scene trace is determined to be incomplete and a prompt will be made to collect supplementary or adjusted data. When the qualification matching coefficient in S2 is less than T2q, the shooting quantity threshold T3p is increased from the first preset number of shots to the second preset number of shots, the operation location distance threshold T3g is tightened from the third preset distance to the fourth preset distance, and the judgment is performed again. When there is no network, the attendance records, photos, and data are written to a local encrypted cache, and a timestamp signature is attached to each cached record. After the network is restored, the data is uploaded in batches according to the timestamp order. The server uses the timestamp chain and device identifier to determine whether the cached data has been tampered with.

[0062] It should be noted that a multi-dimensional real-scene evidence chain is formed by collecting check-in location, on-site photos, and data entered through mobile terminals. This chain is then used to verify the number of photos, work location deviation, and work time continuity against a T3 integrity threshold. Furthermore, by linking with T2 triggers, the traceability requirements are increased when the work assignment matching is insufficient. Specific handling methods are designed for offline network outages and photo tampering. Specifically, GPS location and timestamps are obtained through the APP and compared with the preset location on the work order to determine the validity of the check-in. Photos of the work site are then collected, including panoramic photos, detailed work photos, and material photos. Metadata for each photo is obtained, including shooting time, location coordinates, and device model. The entered data is associated with the photos, and the completeness of the real-scene traceability is determined by comparing the set T3 threshold with the number of photos taken, check-in location deviation, and check-in shooting time interval. In this invention, T3p takes at least 3 photos, with at least one panoramic, one detailed, and one material photo. The preset value for T3g is 50m, meaning the deviation between the check-in GPS location and the work shooting location should not exceed 50m. The preset value for T3t is 10 minutes, meaning the deviation between the check-in time and the first photo shooting time should not exceed 10 minutes. When T2 is triggered, i.e., the matching degree coefficient is less than T2q, T3p automatically increases from 3 photos to 5 photos, and T3g automatically tightens from 50m to 30m. Then, the judgment is executed again to ensure the authenticity of the work through stricter traceability requirements when the work assignment matching degree is insufficient. The offline resume upload means that when there is no network, the APP caches the check-in records, photos and filling data locally, and adds a timestamp signature and device identifier to each record. After the network is restored, they are uploaded in batches according to the timestamp order. The server verifies the continuity of the timestamp chain and the device identification. The consistency judgment of the backup identifier determines whether the cached data has been tampered with. The photo anti-tampering mechanism includes extracting the shooting time, GPS coordinates and device model from the metadata of the exchangeable image file format of the photo, cross-comparing it with the GPS and timestamp of the attendance record, calculating the photo perception hash value to detect reuse, and marking the photo as abnormal when the metadata of the exchangeable image file format is missing or the GPS deviation exceeds T3g. According to an embodiment of the present invention, in a certain cable joint installation operation, the person in charge of the operation took 1 panoramic photo and 2 detail photos after attendance, for a total of 3 photos, which meets the T3p threshold of 3 photos. However, the system detected that T2 was triggered in this work assignment, and T3p was automatically increased from 3 photos to 5 photos. The system prompted that 1 photo of the materials and 1 photo after the installation was completed were required.After the person in charge of the work takes additional photos, the record is submitted. If the person in charge is in a weak signal area and cannot upload in real time, the APP automatically switches to offline mode, storing the check-in record and 5 photos in a local encrypted cache. Each record is signed with a timestamp. After the network is restored, the records are uploaded in batches according to the timestamp order. The server verifies the continuity of the timestamp chain and the consistency of the device identifier to determine the validity of the data. For each photo, the system extracts the location coordinates from the metadata of the interchangeable image file format and compares them with the check-in location information. If the deviation exceeds 60m and exceeds the tightened T3g threshold of 50m, the photo is marked as abnormal. Through the design of real-scene record integrity verification, network interruption resume transmission and photo anti-tampering measures, the credibility of on-site record data is improved, the photo reuse detection rate is high, and the data integrity rate of offline scenes is significantly improved.

[0063] The linkage between T2 and T3 is also based on a quantifiable risk transmission relationship. When the qualification matching coefficient Q is less than T2q, the upper bound of the rework probability is higher than 3.75%, as shown in the aforementioned empirical model of rework probability. This increases the probability of work rework and project delays, which are the causes of on-site reshoots, reuse of historical photos, and location tampering. This application sets up traceability verification for the above behaviors and establishes the detection probability p of a single photo and the overall detection probability. Explicit relationship between them: Where n is the number of photos participating in the verification, and p is the detection probability of a single photo, determined by four verification criteria: metadata integrity, location consistency, temporal continuity, and spatiotemporal deviation. Its value is obtained from statistical analysis of historically marked abnormal photo samples; in this scheme, p = 0.75. When the shooting quantity threshold T3p is 3 photos, When T3p is increased to 5 cards, Meanwhile, tightening the distance threshold T3g at the work location directly improves the sensitivity to detecting positioning deviations: Suppose that the photo sample with positioning deviation has a deviation x that follows a normal distribution with a mean of μ and a standard deviation of σ. The parameters are obtained by statistical analysis of historical photo positioning deviation samples marked as abnormal. In this scheme, μ = 60 meters and σ = 20 meters. Then the detection probability is P = Φ((μ - T3g) / σ), where Φ is the standard normal distribution function. When T3g is 50 meters, P = Φ(0.5) = 69.15%. When T3g is tightened to 30 meters, P = Φ(1.5) = 93.32%. Therefore, by increasing the threshold for the number of shots from 3 to 5 and tightening the threshold for the distance to the work location from 50 meters to 30 meters, the probability of not detecting forgery of traces decreased from 1 - 98.44% = 1.56% to 1 - 99.90% = 0.10%, a decrease of approximately 93.6%; the probability of not detecting positioning deviation decreased from 1 - 69.15% = 30.85% to 1 - 93.32% = 6.68%.

[0064] According to an embodiment of the present invention, S4 performs a preliminary review of the recorded and filled-in data, compares the required completion rate with the completeness threshold, performs a secondary review by comparing the construction cost, material usage, and working hours with historical averages, and marks an anomaly when the deviation exceeds the threshold. The final review calculates the cross-validation pass rate; if it is below the threshold, the data is returned or upgraded; if incomplete, the threshold is raised and manual review is added; if the discrepancy exceeds the threshold, a review is submitted. This includes: The real-scene data and the data entered are initially reviewed, and the completion rate of the required information is compared with the preset approval completeness sub-threshold T4c. The work costs and material usage are reviewed. The construction costs, material usage and working hours of the current visa data are compared with the historical average of similar work in the historical visa database to obtain the deviation ratio. When the fused deviation ratio is greater than the preset historical data consistency sub-threshold T4h, the current visa is marked as abnormal and a supplementary request is sent to the work manager. The project amount and visa compliance are subject to final review, and the cross-validation pass rate is calculated. When the cross-validation pass rate is less than the preset cross-validation pass rate sub-threshold T4s, the approval is returned or upgraded. When S3 determines that the real-scene trace is incomplete, T4s is increased from the first preset ratio value to the second preset ratio value, and the manual review ratio is increased to the preset ratio before approval is executed. Calculate the degree of disagreement at each level of approval. When the degree of disagreement exceeds the preset degree of disagreement threshold, submit the visa application for review.

[0065] It should be noted that a three-tiered approval process—preliminary review, secondary review, and final review—achieves multi-layered quality control for visa applications. Each level of approval involves cross-validation of data and comparison with historical data. T3-triggered linkage further strengthens the verification process when on-site documentation is incomplete. Furthermore, mechanisms for automatic review and anomaly marking are designed to address two probabilistic issues: conflicting approval opinions and contradictory historical data. Specifically, during the preliminary review, the team leader conducts an initial review of the on-site documentation and submitted data, verifying the completeness of visa information and the reasonableness of on-site photos. The completion rate of mandatory information must meet T4c (100%). Subsequently, the department head conducts a secondary review, verifying the reasonableness of the processing fees. To ensure rationality and standardization of material usage, the current visa data (construction costs, material usage, and working hours) is compared with historical visa database data for similar operations. The deviation ratios of these three data points are obtained separately, and then summed to obtain the merged deviation ratio. If this ratio exceeds the preset historical data consistency threshold T4h, the current visa is marked as abnormal, and supplementary materials are requested from the work supervisor. Finally, the project management department conducts a final review, verifying the controllability of the project amount and the compliance of the visa. The cross-validation pass rate is calculated by multiplying the number of successful verifications by the total number of verifications ("number of successful verifications / total number of verifications") across all stages of the project amount and visa verification process. Approval is granted if the timeframe is not lower than T4s; otherwise, it is returned or upgraded for approval. When T3 is triggered (i.e., T3 detects an abnormality in the record-keeping process), T4s is automatically increased to the second preset ratio and the manual review ratio is increased to ensure the reliability of the visa through stricter approval verification when the record-keeping quality is insufficient. For conflicts in multi-level approval opinions, the degree of disagreement at each level is calculated. When the degree of disagreement exceeds a threshold, it is submitted to the superior management department for review. According to an embodiment of the present invention, when a visa order enters the review stage, the system retrieves 50 similar cable joint installation operation data from the historical visa database. The fusion deviation ratio is 18%, exceeding the T4h trigger value of 15%. An anomaly was detected, requiring the person in charge of the work to submit a detailed explanation of the expenses. The explanation revealed that additional cables had been replaced for this operation. After the system compared the materials list and confirmed the discrepancy, the anomaly was resolved, and the review was passed. If the difference between the initial review and the review opinions exceeds 30%, the system automatically submits the application to the higher management department for review. In addition, because the visa application was detected to have excessive GPS deviation in the photo during the S3 stage (T3 trigger), the T4s was automatically increased from 95% to 98%, and the manual review ratio increased to 30%. Through the T4 visa data consistency and approval opinion conflict handling mechanism, the visa approval error rate was reduced, the efficiency of resolving conflicts in multi-level approval opinions was accelerated, and the detection rate of false expenses was high.

[0066] It should be noted that the historical average of similar transactions in the historical visa database was determined as follows: (1) Classification dimensions: A four-level classification code is constructed according to four dimensions: operation type (cable, overhead line, transformer, switch), voltage level (10 kV, 20 kV), operation procedure (replacement, installation, emergency repair, test), and material category (body material, auxiliary material, purchased parts). Only visas that are completely consistent with the current visa slip in all four dimensions are taken as samples of the same type. (2) Method of normalizing the quantity of work: The quantity of work of the sample is normalized based on the unit of measurement in the quota database. That is, the construction cost, material usage and working hours of each sample are divided by the quantity of work to obtain the construction cost (yuan / unit of measurement), material usage (kilogram / unit of measurement) and working hours (man-day / unit of measurement) of the unit quantity of work. Then, the arithmetic mean of the unit quantity of work of the same type of sample is calculated as the historical mean. (3) Sample window: Based on the submission date of the current visa form, take the visa forms that have been completed and settled within the most recent 12 months; when there are fewer than 30 valid samples in the window, expand the window to 24 months and then to 36 months in turn; if there are still fewer than 30 samples after expanding the window, relax the classification dimensions step by step, that is, first merge the work process dimension and then merge the material category dimension, and record the classification dimension level used in the approval record of the visa form. (4) Abnormal removal: First, remove samples that are not settled, have been cancelled, or have been marked as abnormal; then, use the interquartile range method to remove samples that fall outside the range of [Q1 - 1.5 × IQR, Q3 + 1.5 × IQR]; if there are fewer than 10 valid samples after removal, replace the historical average with the standard value of the power industry quota and mark it as quota comparison in the approval record; (5) Deviation ratio calculation: Let the unit construction cost of the current visa order be Ccur, the material usage be Mcur, and the working hours be Lcur, and the corresponding historical averages be Cavg, Mavg, and Lavg, respectively. Then the construction cost deviation ratio Rc = (Ccur - Cavg) / Cavg, the material usage deviation ratio Rm = (Mcur - Mavg) / Mavg, the working hours deviation ratio Rl = (Lcur - Lavg) / Lavg, and the combined deviation ratio Rf = (|Rc| + |Rm| + |Rl|) / 3.

[0067] According to an embodiment of the present invention, step S5 encrypts and stores the approved visa application form and its attachments, generates a unique visa number, establishes a traceable index with the project number and work order number, deducts work expenses from the budget ledger and updates the remaining investment amount, calculates a dynamic upgrade threshold based on the cumulative count of anomalies, upgrades the approval process when the threshold is lower, and suspends applications according to priority when the concurrent visa amount exceeds a proportion of the remaining investment amount, including: The approved visa forms and their attachments are encrypted and stored, a unique visa number is generated, and a traceable index is established between the visa number and the project number and work order number. The operating costs for this visa will be deducted from the project budget ledger, the remaining investment amount of the project will be updated, and the remaining investment amount of the project after deduction, the visa number, and the attachment data will be verified. Calculate the cumulative count T4a of abnormalities identified in S4, and calculate the dynamic approval escalation threshold T5d. When the approval score of a visa application is lower than the dynamic approval upgrade threshold T5d, the visa application will be upgraded to the next higher approval node. The overall severity score Ss is calculated based on the frequency of approval delays, the duration of delays, and the proportion of visa amount. Calculate the allowable deviation threshold T6e, and tighten project amount control when the actual number of deviations exceeds T6e. When multiple visas are in the approval process at the same time, the sum of the estimated costs of each visa is used as the total amount of concurrent visas. When the total amount of concurrent visas exceeds a preset percentage of the remaining investment amount, the lower priority visas are suspended according to their priority.

[0068] It should be noted that a traceable index is established through visa archiving, closed-loop budget control is achieved through project amount deduction, and post-event control is achieved through T5 dynamic approval escalation thresholds and T6 deviation closed-loop verification. T5 dynamically reduces the escalation trigger score based on the cumulative count of previous anomalies, and T6 dynamically tightens the allowable number of deviations based on the comprehensive severity score. The two constitute a linkage between previous anomalies driving the tightening of subsequent control. Specifically, firstly, visa archiving involves encrypting and storing the approved visa forms and all their attachments, generating a unique visa number and establishing a traceable index. Then, the operating costs of this visa are deducted from the budget ledger, the remaining investment amount of the project is updated, and then the process is completed through S4. The cumulative count T4a of anomalies is used to calculate the dynamic approval escalation threshold T5d, obtaining the escalation trigger threshold: T5d = T5t - ɑ * min(T4a / K, 1), where T5t is the preset escalation trigger score, ɑ is the preset adjustment coefficient, and K is the preset normalization constant. In this scheme, the default values ​​for T5t are 0.90, ɑ is 0.15, and K is 5. When the anomaly count T4a detected by T4 increases from 0 to 5, T5d dynamically decreases from 0.90 to 0.75, making escalation approvals more easily triggered. The approval score is equal to the weighted sum of the approval scores at each level, with the same dimension as T5t, and is determined based on the frequency of approval timeouts. The comprehensive severity score Ss is obtained by calculating the overdue time and the proportion of visa amount. Ss is obtained through normalized weighted calculation: Ss = w1×F + w2×D / Dr + w3×A / Ar, where F is the frequency of processing overdue time, D is the overdue time, Dr is the reference time, A is the proportion of visa amount, Ar is the proportion of reference amount, and w1, w2, and w3 are weighting coefficients. Based on Ss, the allowable deviation threshold is further calculated. In this scheme, Nd is set to 3 and β is set to 0.5. Therefore, when the comprehensive severity score Ss increases from 0 to 4, T6e dynamically decreases from 3 to 1. When multiple visas enter the processing process simultaneously, if the total amount of concurrent visas exceeds... When the remaining investment amount is predetermined as a percentage, a lock is reserved for the execution amount of subsequent visa applications, allowing only high-priority visas to enter the approval process. According to an embodiment of the present invention, a project completes 8 visas within one month, of which 2 are marked as data anomalies in the S4 stage (T4a=2). Calculating T5d=0.90-0.15*min(2 / 5,1)=0.90-0.06=0.84, the upgrade trigger score dynamically decreases from 0.90 to 0.84, making it easier for subsequent visas to trigger upgrade approval and increasing the control over the amount. At the same time, the comprehensive severity score Ss=2.4, then T6e=Nd-β×Ss=3-0.5*2.4=1.8. Where Nd is the preset default number of entries and β is the preset adjustment coefficient, the allowed number of deviation entries is dynamically tightened from 3 to approximately 2, allowing only 2 deviation visas to exist. Compared to the fixed threshold method, this dynamic adjustment mechanism automatically tightens control when abnormal increases occur, effectively preventing risk accumulation. Furthermore, when 3 visas are simultaneously in the approval process, and the total amount of concurrent visas reaches 85% of the project's remaining investment, exceeding the preset ratio of 80%, the system suspends lower-priority visas according to priority and locks reserved quotas for approved visas. Through T5 / T6 dynamic thresholds and amount reservation locking, the project settlement dispute rate is reduced, the automatic escalation handling rate of approval timeouts is improved, the average approval cycle for visas is significantly reduced, and the incidence of concurrent deduction conflict events is also reduced.

[0069] Visa priority is determined by the following priority scoring: P = ω1 × Un + ω2 × Sn + ω3 × Rn. Where Un is the normalized value of the task urgency, obtained by mapping the task type: 1.0 for fault tasks, 0.6 for defect tasks, and 0.3 for hidden danger tasks; Sn is the normalized value of the comprehensive severity score, Sn = min(Ss / 4, 1), where Ss is the comprehensive severity score and 4 is the severity normalization benchmark; Rn is the normalized value of the time limit urgency, Rn = max(0, 1 - Tremain / Tsla), where Tremain is the remaining processing time for the current approval stage, and Tsla is the preset approval time limit, defaulting to 48 hours; ω1 is the preset urgency weight coefficient, ω2 is the preset severity weight coefficient, and ω3 is the preset time limit weight coefficient, and ω1 + ω2 + ω3 = 1. In this scheme, ω1 is 0.5, ω2 is 0.2, and ω3 is 0.3.

[0070] The priority assessment rules are as follows: P not less than 0.7 is considered high priority; P not less than 0.4 and less than 0.7 is considered medium priority; P less than 0.4 is considered low priority. The suspension and resumption rules are as follows: when the total amount of concurrent visa applications exceeds a preset percentage (default 80%) of the project's remaining investment amount, visa applications are suspended sequentially from lowest to highest priority until the total amount of concurrent visa applications does not exceed this preset percentage; suspended visa applications are automatically resumed for approval in descending order of priority after the quota is released; when priority scores are the same, applications are processed according to the order in which they were initiated, i.e., the earlier initiator has priority.

[0071] According to an embodiment of the present invention, step S6 records historical check-in location and time patterns, establishes a spatial reference center point, radius, and time reference value and dispersion, calculates spatiotemporal deviation, verifies the integrity of exchangeable image file formats, location consistency, and time continuity, calculates credibility and classifies it with a threshold, and issues warnings and marks when credibility is not found, including: Record the historical check-in location distribution and historical operation time patterns of the person in charge of the operation within the preset historical time period, and establish the spatial reference center point, spatial reference radius, time reference center value, and time reference dispersion of the person in charge of the operation. The check-in spatiotemporal deviation value Db is calculated based on the first ratio of the spatial distance ds from the current check-in positioning coordinates to the spatial reference center point to the spatial reference radius Rs, and the second ratio of the time difference dt between the current check-in time and the time reference center value to the time reference dispersion σt. Extract exchangeable image file format metadata for each photo, verify the integrity of the metadata, verify the location consistency between the check-in location information and the photo location coordinates, and verify the time series continuity between the check-in time and the photo shooting time. The traceability reliability score Cs is calculated based on the metadata integrity, location consistency, time series continuity, and check-in time and space deviation value. The trace credibility score is compared with a preset credibility status threshold set to obtain the trace credibility status, including credible, pending verification, under verification and untrustworthy. When the credibility score of the record is lower than the preset credibility lower limit threshold, it is identified as an untrustworthy state, an early warning is sent to the approval terminal, and the corresponding visa form is marked as a key verification form.

[0072] It should be noted that the credibility assessment and monitoring of the on-site record-keeping by the work supervisor involves establishing deviations from individual check-in benchmarks, verifying the integrity of photo metadata, analyzing location and time series continuity, comprehensively calculating the credibility score of the record-keeping, and identifying four states. Specifically, this involves collecting all valid check-in records of the work supervisor within a preset historical time period. Each valid check-in record includes check-in location coordinates and check-in time. The average longitude and average latitude of the historical check-in location coordinate set are calculated as the spatial reference center point. The standard deviation of the distance from each historical check-in location coordinate to the spatial reference center point is calculated as the spatial reference radius. The hour and minute values ​​of each check-in time are extracted from the historical check-in time set, and the hour and minute count is calculated. The mean of the values ​​is used as the time reference center value. The standard deviation of the deviation between each historical check-in time and the time reference center value is calculated as the time reference dispersion. The first ratio of the spatial distance ds from the current check-in location coordinates to the spatial reference center point to the spatial reference radius Rs is calculated. The second ratio of the time difference dt between the current check-in time and the time reference center value to the time reference dispersion σt is calculated. When the first ratio or the second ratio is greater than 1, the corresponding ratio is set to 1. The check-in spatiotemporal deviation value Db of the current check-in data is calculated according to the formula Db=μ1×(ds / Rs)+μ2×(dt / σt), where μ1 is the preset spatial deviation weight coefficient and μ2 is the preset time deviation weight coefficient. Then, for each card... Metadata in the exchangeable image file format is extracted from the photo. The integrity of the metadata is verified, as well as the consistency between the check-in location information and the photo location coordinates, and the temporal continuity between the check-in time and the photo shooting time. Based on the metadata integrity, location consistency, temporal continuity, and check-in spatiotemporal deviation value, the traceability reliability score Cs is calculated, Cs=λ1×Sm+λ2×Sl+λ3×St+λ4×(1−Db), where Sm is the metadata integrity score (equal to the ratio of the actual number of fields in the required fields (shooting time, GPS latitude and longitude, device model, orientation angle) of the extracted metadata to the total number of required fields), and Sl is the location consistency score (when the photo location...). The deviation between the coordinates and the check-in location information is no greater than T3g, and is 1 otherwise. St is the time series continuity score (1 when the deviation between the photo shooting time and the check-in time is no greater than T3t, and is 0 otherwise). λ1 is the preset metadata weight coefficient, λ2 is the preset location weight coefficient, λ3 is the preset time weight coefficient, and λ4 is the preset baseline deviation weight coefficient. λ1+λ2+λ3+λ4=1. The trace credibility score is compared with the preset credibility status threshold set to obtain the trace credibility status, including credible, pending verification, under verification, and unreliable. The preset credibility status threshold set is an interval threshold, divided into four segments, corresponding to credible, pending verification, under verification, and unreliable, respectively.According to an embodiment of the present invention, the historical attendance records (last 90 days) of the work supervisor E show that he usually arrives at the work site between 8:30 and 9:00 AM (time reference center value 8:45, time reference dispersion σt = 15 minutes), the GPS coordinates of the attendance are concentrated (spatial reference radius Rs = 300m), in the normal visa slip, the attendance time of this supervisor is 8:50 AM (dt = 5 minutes), the attendance location is 60m from the spatial reference center point (ds = 60m), the GPS of the photo deviates from the attendance location by 30m (not exceeding T3g = 50m), and the image file format can be exchanged. All required fields are present. Calculated using the formula: Db=0.5×(60 / 300)+0.5×(5 / 15)=0.1+0.167=0.267, Cs=0.4×1+0.1×1+0.2×1+0.3×(1−0.267)=0.4+0.1+0.2+0.22=0.92. The trace evidence reliability score is 0.92, falling within the threshold range of (0.85, 1.0), indicating a reliable status. Reliability discrimination monitoring shortens the response time for trace evidence anomaly detection, increases the photo tampering detection rate, and significantly improves the reliability of on-site trace evidence data.

[0073] In S6, the spatial reference center point, spatial reference radius Rs, time reference center value, and time reference dispersion σt are all obtained in real time from the historical attendance data of each work supervisor, without any fixed preset values; the weight coefficients λ1, λ2, λ3, and λ4 of the traceability reliability score Cs are initially determined by the entropy weight method and corrected by expert scoring, and λ1 + λ2 + λ3 + λ4 = 1. In engineering practice, their value ranges are λ1 ∈ [0.30, 0.50], λ2 ∈ [0.30, 0.50], λ3 ∈ [0.50, 0.50], λ4 ∈ [0.3 ... 2∈[0.05, 0.20], λ3∈[0.10, 0.30], λ4∈[0.20, 0.40]; The preset confidence status threshold set is an interval threshold, which is divided into four segments by default: (0.85, 1.0] corresponding to confidence, (0.70, 0.85] corresponding to pending verification, (0.55, 0.70] corresponding to verification in progress, and [0, 0.55] corresponding to unconfidence. The upper limit of the unconfidence interval, 0.55, is the preset confidence lower limit threshold.

[0074] According to an embodiment of the present invention, it further includes: Real-time monitoring of the time elapsed for approvals at all levels, and calculation of the remaining processing time; Statistics are compiled on the frequency and average duration of timeouts for the same approval terminal or the same approval department within a preset period. When the frequency of timeouts exceeds the preset warning frequency, or when the time consumed for a single approval exceeds the preset time limit, it is determined to be in an over-alert state. If the status is above the alert level, the corresponding visa application will be automatically escalated to the next higher level of approval and marked as urgent. Record the process and results of the upgrade handling, and feed the handling results back to S5. The upgrade handling results include normal, pending upgrade, upgrading in progress, and upgrade completed. S5 reads the upgrade processing result. When the upgrade processing result is pending upgrade or in progress, it triggers T6e calculation and tightens project amount control.

[0075] It should be noted that by setting approval timeouts, the system monitors the processing time of approvals at all levels in real time. When approval stalls, it automatically intervenes to escalate the process, achieving multi-chain management and escalation (including four states: normal, pending escalation, escalating, and escalation completed). The system tightens project amount control by notifying the S5 stage. Specifically, it monitors the time elapsed for approvals at all levels in real time, calculates the remaining processing time, and statistically analyzes the frequency and average timeout duration of timeouts for the same approval terminal or department within a preset period. When the frequency of timeouts exceeds the preset warning frequency, or the time elapsed for a single approval exceeds the preset time limit, it is determined to be in an over-alert state. In this over-alert state, the corresponding visa application is automatically escalated to the next higher-level approval node or project management department and marked as urgent. The escalation process and results are recorded, and the results are fed back to the S5 stage. S5 then triggers T6e to calculate and tighten project amount control. According to this embodiment of the invention, a visa application in… The S4 review process stalled for 36 hours. The approval timeout and escalation chain detected less than 12 hours remaining in the processing time and sent a reminder notice to the reviewer. If the process remained unresolved after 48 hours, it was deemed an over-alert state, and escalation was initiated. The visa application was pushed to the final review level and marked as urgent, changing the escalation status from normal to escalation in progress. Simultaneously, the real-world traceability credibility monitoring chain detected a 62m deviation between the GPS coordinates and the check-in location in the exchangeable image file format metadata of the visa application, exceeding the T3g threshold of 50m. The traceability credibility status changed from reliable to pending verification. In the S4 stage, the status was read as follows: a pending verification status triggered an upgrade to T4s and increased manual review; an escalation status triggered dynamic tightening of amount control in the S5 stage according to T6e. Under multi-chain collaborative control, the response time for traceability anomaly detection can be shortened, the automatic handling rate of approval stalls can be increased, and the average number of anomalies per visa application can be reduced.

[0076] According to an embodiment of the present invention, it further includes: Extract metadata in an exchangeable image file format for each uploaded photo. The metadata includes shooting time, location coordinates, device model, and shooting parameters. The deviation between the location coordinates in the metadata and the check-in location information is calculated, and the photo is marked as abnormal when the deviation is greater than T3g. The deviation between the shooting time and the check-in time in the metadata is calculated, and the photo is marked as abnormal when the deviation is greater than T3t. By scaling the photo to a preset size, performing a discrete cosine transform, and taking the low-frequency coefficients, a perceptual hash value is generated. The perceptual hash value of the current photo is compared with the perceptual hash values ​​of other photos in the same work order and historical photos within a preset time range using Hamming distance. When the Hamming distance is less than the preset duplication threshold, the photo is determined to be reused. When the metadata is completely missing, the photo is determined to have been post-processed, marked as abnormal, and a reshoot is required. The abnormal photo markers are synchronized to the real-world trace credibility monitoring, triggering a change in the trace credibility status from credible to pending verification.

[0077] It should be noted that this solution also includes photo anti-counterfeiting verification. This involves extracting exchangeable image file format metadata from each uploaded photo and performing location and time cross-verification. Simultaneously, it calculates the photo's perceptual hash value and compares it with historical photos using Hamming distance. This detects photo forgery from four dimensions: missing metadata, location deviation, time deviation, and reuse. Anomalies in photos are identified by extracting exchangeable image file format metadata and identifying location and time deviations. The perceptual hash value for each photo is calculated, and after scaling the photo to a preset size, a Discrete Cosine Transform (DCT) is performed, and low-frequency coefficients are used to generate the perceptual hash value. Hash (pHash), then compare the current photo's perceived hash value with the perceived hash values ​​of other photos in the same work order and historical photos within a preset time range using Hamming distance to determine reusability. If metadata is completely missing, it is determined that the photo has been post-processed, marked as abnormal, and a reshoot is required. The abnormal photo marking is synchronized to the real-scene trace credibility monitoring, triggering a change in trace credibility status from credible to pending verification. According to an embodiment of the present invention, a visa form submits 3 on-site photos. After the system extracts the metadata of the exchangeable image file format, it finds that the GPS coordinates of photo 1 deviate from the check-in location by 72m (exceeding the T3g threshold of 50m), and marks it. As an anomaly, the shooting time of photo 2 deviates from the check-in time by 28 minutes (exceeding the T3t threshold by 10 minutes), thus it is marked as an anomaly. The Hamming distance between the perceptual hash value of photo 3 and the perceptual hash value of another work order from a month ago is only 3 (less than the preset duplication threshold of 8), thus it is determined to be reused. Therefore, all three photos are marked as anomalies, and the person in charge of the work is required to retake them. At the same time, the traceability credibility status changes from credible to pending verification, triggering the S4 step T4s to increase and force manual review. This improves the detection rate of reused photos, the detection rate of tampering, and the detection rate of missing interchangeable image file formats, while reducing the false reporting and underreporting rates.

[0078] Please refer to Figure 2 , Figure 2This is a high-level flowchart illustrating a method for real-time tracking and tiered online visa approval of power distribution network operations, as described in this application.

[0079] Please refer to Figure 3 , Figure 3 This is a schematic diagram of the module structure of a power distribution network operation real-time tracking and tiered online visa approval system according to some embodiments of this application. In a second aspect, the present invention also discloses a power distribution network operation real-time tracking and tiered online visa approval system, comprising: The task association and cost estimation module is used to associate the power distribution network work order with the corresponding project, obtain the remaining investment amount of the project, calculate the estimated cost of the work, and determine whether the ratio of the remaining investment amount to the estimated cost is less than the ratio sub-threshold. The intelligent dispatching and task receiving module is used to filter the person in charge of the task and dispatch the task, determine whether the qualification matching score is less than the qualification matching sub-threshold, and raise the qualification matching sub-threshold when the ratio sub-threshold is triggered. The on-site real-scene recording module is used to collect check-in location information, check-in time, on-site operation photos and data, determine whether the real-scene recording is complete, and increase the shooting quantity threshold and tighten the operation location distance threshold when the qualification matching sub-threshold is triggered. The tiered visa approval module is used to perform preliminary review, secondary review and final review, perform data cross-validation and historical data comparison, and increase the preset cross-validation pass rate sub-threshold when the real-scene trace is incomplete; The visa completion and project amount closed-loop management module is used for visa archiving and project amount deduction. It calculates the dynamic approval upgrade threshold based on the cumulative count of anomalies and calculates the allowable deviation threshold based on the comprehensive severity score. When the actual number of deviations exceeds the threshold, project amount control is tightened. The Real-Scene Traceability Confidentiality Monitoring Module is used to monitor the credibility of real-scene traceability data and calculate and output a traceability credibility score to identify the status of traceability credibility. The approval timeout and escalation handling module is used to monitor the time spent on approvals at all levels and output the escalation handling status.

[0080] It should be noted that this system maps each step of the method to an independent functional module, and the modules are connected through a cascading linkage interface to realize that the threshold trigger event of the preceding module automatically drives the threshold parameter adjustment of the subsequent module.

[0081] According to an embodiment of the present invention, it further includes: Threshold linkage device, including: The threshold configuration unit is used to store the default parameters and dynamic adjustment rules for each threshold. The threshold monitoring unit is used to monitor the threshold trigger events of each module and broadcast them to downstream modules; The dynamic adjustment engine is used to calculate new parameter values ​​for the downstream threshold according to the dynamic adjustment rules after receiving an upstream threshold trigger event and send them to the corresponding module. The threshold status display unit is used to display the current value, trigger status, and linkage relationship of each threshold in real time; The dynamic adjustment rules include: When T1r is triggered, T2q is increased and T2g is tightened; When T2q is triggered, T3p is increased and T3g is tightened; When the real-scene recording is incomplete, T4s will adjust the settings and increase the proportion of manual review. When T4a increases, the upgrade trigger score is reduced according to the calculation formula of T5d; When Ss increases, the allowable deviation number is tightened according to the calculation formula of T6e.

[0082] It should be noted that the threshold linkage device is the core device for the system to realize automatic adjustment of multiple linked thresholds. Through the collaborative work of four units—threshold configuration, monitoring, calculation, and display—it realizes the storage of threshold parameters, event monitoring, dynamic calculation, and real-time display. The threshold linkage device includes four units: the threshold configuration unit stores the default parameters and dynamic adjustment rules of the thresholds; the threshold monitoring unit monitors the threshold trigger events of each module and broadcasts them to the downstream modules; the dynamic adjustment engine calculates the new parameter values ​​of the downstream thresholds according to the dynamic adjustment rules after receiving the upstream threshold trigger event and sends them down; and the threshold status display unit displays the current value, trigger status, and linkage relationship of each threshold in real time.

[0083] It should be noted that, to verify the technical effectiveness of this application's technical solution, the applicant conducted a comparative verification in a power distribution network operation management scenario at a municipal power supply bureau. The verification method was as follows: using 5,000 distribution network operation visa work orders from the system's actual operation over the past six months as a sample, an offline playback method was employed, executing both the existing fixed-process approval method and the method described in this application. The approval results for all samples were manually reviewed and confirmed. The statistical results are as follows: (1) The rate of false reporting and underreporting: The rate for the fixed procedure was 4.8% (240 cases), while the rate for the method in this application was 0.9% (45 cases), a relative decrease of 81.3%; (2) Photo forgery detection rate: Under the fixed process method, the detection rate is 12.3% when manually sampled and checked; the detection rate is 96.7% when the system automatically detects forgery using the method of this application (186 photos were manually verified and confirmed to be forged, and the system detected 180 of them). (3) Average processing time for visa applications: The fixed process takes 6.5 working days, while this application method takes 2.1 working days, a reduction of 67.7%; (4) Automatic escalation rate of approval overdue: 0% for the fixed process method and 100% for this application method (213 visa applications were overdue during the statistical period, all of which were automatically escalated). (5) Visa data integrity rate in weak network and offline scenarios: 82.4% for the fixed process method and 99.8% for this application method; (6) Response time for abnormal trace detection: The average time for manual verification under the fixed process is 8.5 hours, while the response time for the method in this application is 0.6 seconds, which is automatically determined by the system. (7) Project settlement dispute rate: 3.2% for the fixed process method, and 0.7% for the method in this application; (8) Concurrent amount deduction conflict events: 17 times for the fixed process method, 0 times for the method of this application.

[0084] The above data shows that the technical solution of this application can effectively solve the technical problems existing in the background technology, such as low visa approval efficiency, high risk of false reporting, and loss of control over project funds, and achieve the technical effects described in the specification.

[0085] According to an embodiment of the present invention, the distribution network operation real-scene recording and hierarchical online visa approval system further includes a memory and a processor. The memory includes a program for the distribution network operation real-scene recording and hierarchical online visa approval method. When the program for the distribution network operation real-scene recording and hierarchical online visa approval method is executed by the processor, it implements any of the steps of the distribution network operation real-scene recording and hierarchical online visa approval method.

[0086] This invention discloses a method and system for real-time tracking and tiered online visa approval in power distribution network operations. Through a multi-tiered judgment chain involving task association, intelligent work assignment, real-time tracking, tiered approval, and closed-loop cost control, it achieves dynamic multi-threshold linkage control from cost estimation and cost closure to visa approval. Scenario-based design addresses issues such as critical concurrent applications due to project balance limits, expired qualifications, inability to upload data offline, photo tampering, conflicting approval opinions, contradictory historical data, concurrent visa conflicts, and silent approval timeouts, reducing false reporting and underreporting, and improving the credibility of tracking data. It also addresses the handling of real-time tracking credibility monitoring chains and approval timeout and escalation processing chains. This achieves fully online, real-time traceability, and tiered intelligent control of power distribution network operation visas, realizing a unified real-time tracking and tiered approval control technology across different scenarios.

[0087] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0088] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0089] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0090] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0091] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. A method for real-time recording and tiered online approval of power distribution network operations, characterized in that, include: S1 matches the project number with the distribution network fault work order, calculates the cost estimate by combining the material cost and construction cost quota database, compares the ratio of the remaining investment amount to the cost estimate with the balance adequacy threshold, determines the number of concurrent visas, triggers the increase of the ratio threshold and re-determines; S2 selects candidate supervisors from the personnel database based on job type and location, and selects job supervisors based on qualification coverage, historical quality scores and job distance. When the matching degree is lower than the threshold, it re-selects. When the balance is insufficient, it raises the qualification threshold and lowers the regional threshold. When the qualification expires or there is a regional conflict, it issues an alert and reassigns the job. S3 obtains the location and time of the work supervisor's check-in, extracts metadata of the exchangeable image file format of the photo and associates it with the data entered. It compares the data with the thresholds for the number of photos, the distance to the location, and the time interval. If any of the thresholds are not met, the record is judged to be incomplete and prompts for supplementation. When there is no network, it writes to the encrypted cache and adds a timestamp. After recovery, it uploads in batches and determines whether it has been tampered with. S4 performs a preliminary review of the recorded and submitted data, comparing the completion rate of mandatory fields with the completeness threshold. The second review compares the construction cost, material usage, and working hours with the historical average. When the deviation exceeds the threshold, it is marked as abnormal. The final review calculates the cross-validation pass rate. If it is lower than the threshold, it is returned or upgraded. If it is incomplete, the threshold is raised and manual review is added. If the degree of disagreement exceeds the threshold, it is submitted for review. S5 encrypts and stores the approved visa forms and attachments and generates a unique visa number. It establishes a traceable index with the project number and work order number, deducts the work cost from the budget ledger and updates the remaining investment amount, calculates the cumulative count of anomalies and dynamically upgrades the threshold. When the threshold is lower, the approval is upgraded. When the amount of concurrent visas exceeds the proportion of the remaining investment amount, they are suspended according to priority. The S6 records historical check-in locations and time patterns, establishes spatial reference center points, radii, and time reference values ​​and dispersion, calculates spatiotemporal deviations, verifies the integrity of exchangeable image file formats, positioning consistency, and time continuity, calculates credibility and classifies it with thresholds, and issues warnings and marks when credibility is not found.

2. The method for real-time recording and tiered online visa approval of power distribution network operations according to claim 1, characterized in that, S1 matches the project number to the distribution network fault work order, calculates the estimated cost based on the material cost and construction cost quota database, compares the ratio of the remaining investment to the estimated cost with the balance adequacy threshold, determines the number of concurrent work orders, triggers an increase in the ratio threshold, and re-evaluates, including: Match the project number to the type of power distribution network fault work order, obtain the total project budget and the amount already used, and calculate the remaining investment amount; Calculate the estimated cost of this operation based on the material cost quota database and the construction cost quota database; The ratio of the remaining investment to the estimated cost is compared with the ratio sub-threshold T1r in the first-level project balance adequacy threshold T1. If the first ratio is less than the ratio sub-threshold T1r, then the current number of concurrent visa applications is counted and compared with the number of concurrent applications sub-threshold T1c in the first-level project balance sufficiency threshold T1. If the number of concurrent visa applications is greater than or equal to the number of concurrent applications sub-threshold T1c, the ratio sub-threshold T1r is increased from the first preset ratio threshold to the second preset ratio threshold, and the visa application judgment is re-executed according to the increased second preset ratio threshold.

3. The method for real-time recording and tiered online visa approval of power distribution network operations according to claim 1, characterized in that, S2 filters candidate supervisors from the personnel database based on job type and location, and filters job supervisors based on qualification coverage, historical quality scores, and job distance by calculating a qualification matching coefficient. If the matching coefficient is lower than a threshold, the screening is repeated. If the balance is insufficient, the qualification threshold is raised and the regional threshold is lowered. Warnings are issued and reassignment is performed when qualifications expire or there is a regional conflict. This includes: Based on the type and location of the task, candidate supervisors who meet the preset criteria are selected from the personnel database. Based on the coverage of each candidate's job qualifications, historical job quality scores, and job distance data, the corresponding qualification matching coefficient is calculated. The candidate responsible persons are ranked according to the qualification matching coefficient, and the candidate responsible person with the highest score is selected as the operation responsible person; The qualification matching degree coefficient is compared with the qualification matching degree sub-threshold T2q of the second-level assignment matching threshold T2. When the qualification matching degree coefficient is less than T2q, the candidate screening and task assignment are re-executed. When the first ratio in S1 is less than the ratio sub-threshold T1r, the qualification matching degree sub-threshold T2q is increased from the third preset matching threshold to the fourth preset matching degree threshold, and the regional matching degree sub-threshold T2g of the second-level dispatch matching threshold T2 is decreased and filtered again. When the remaining validity period of the qualification of the person in charge of the operation is less than the preset warning days, a qualification expiration warning will be sent. When the distance between multiple work assignment locations of the work supervisor is greater than the regional matching threshold T2g, it is determined to be a work assignment regional conflict. The assigned work task is cancelled and a new candidate supervisor for the assigned work task is selected.

4. The method for real-time recording and tiered online visa approval of power distribution network operations according to claim 1, characterized in that, The S3 acquires the location and time of the work supervisor's attendance, extracts metadata from the exchangeable image file format of the photos, and associates it with the reported data. It compares the data against thresholds for the number of photos taken, location distance, and time interval. If any threshold is not met, the record is deemed incomplete and a suggestion to supplement is issued. When there is no network, the data is written to an encrypted cache with a timestamp appended. After recovery, the data is uploaded in batches, and any tampering is checked, including: Obtain the check-in location information and check-in time of the person in charge of the work site, calculate the deviation between the check-in location information and the preset location on the work order, and determine the check-in result based on the deviation; Based on the panoramic photos, detailed photos of the operation, and material photos taken during the operation, metadata in an exchangeable image file format is extracted for each photo. The metadata includes the shooting time, location coordinates, and equipment model. Obtain the data filled in by the person in charge of the work, including the list of construction materials, the quantity of materials, and the details of construction costs, and associate the data with the photos taken. Obtain the T3 threshold set, including the shooting quantity threshold T3p, the work location distance threshold T3g, and the check-in shooting time interval threshold T3t. Compare the T3 threshold set with the number of photos taken, the check-in location information, and the check-in shooting time interval, respectively. If any of the following comparison criteria are met: the number of photos taken is less than T3p, the deviation distance of the check-in location information is greater than T3g, or the check-in shooting time interval is greater than T3t, then the real-scene trace is determined to be incomplete and a prompt will be made to collect supplementary or adjusted data. When the qualification matching coefficient in S2 is less than T2q, the shooting quantity threshold T3p is increased from the first preset number of shots to the second preset number of shots, the operation location distance threshold T3g is tightened from the third preset distance to the fourth preset distance, and the judgment is performed again. When there is no network, the attendance records, photos, and data are written to a local encrypted cache, and a timestamp signature is attached to each cached record. After the network is restored, the data is uploaded in batches according to the timestamp order. The server uses the timestamp chain and device identifier to determine whether the cached data has been tampered with.

5. The method for real-time recording and tiered online visa approval of power distribution network operations according to claim 1, characterized in that, The S4 process performs an initial review of the recorded and submitted data, comparing the completion rate of required fields with the completeness threshold. The second review compares construction costs, material usage, and working hours with historical averages; deviations exceeding the threshold are marked as abnormal. The final review calculates the cross-validation pass rate; if it is below the threshold, the data is returned or upgraded; if incomplete, the threshold is raised and manual review is added; if the discrepancy exceeds the threshold, a review is submitted, including: The real-scene data and the data entered are initially reviewed, and the completion rate of the required information is compared with the preset approval completeness sub-threshold T4c. The work costs and material usage are reviewed. The construction costs, material usage and working hours of the current visa data are compared with the historical average of similar work in the historical visa database to obtain the deviation ratio. When the fused deviation ratio is greater than the preset historical data consistency sub-threshold T4h, the current visa is marked as abnormal and a supplementary request is sent to the work manager. The project amount and visa compliance are subject to final review, and the cross-validation pass rate is calculated. When the cross-validation pass rate is less than the preset cross-validation pass rate sub-threshold T4s, the approval is returned or upgraded. When S3 determines that the real-scene trace is incomplete, T4s is increased from the first preset ratio value to the second preset ratio value, and the manual review ratio is increased to the preset ratio before approval is executed. Calculate the degree of disagreement at each level of approval. When the degree of disagreement exceeds the preset degree of disagreement threshold, submit the visa application for review.

6. The method for real-time recording and tiered online visa approval of power distribution network operations according to claim 1, characterized in that, The S5 process involves encrypting and storing approved visa forms and attachments, generating unique visa numbers, establishing a traceable index with project numbers and work order numbers, deducting work costs from the budget ledger and updating the remaining investment amount, calculating a dynamic escalation threshold based on the cumulative count of anomalies, escalating approvals when the threshold is lower, and suspending concurrent visa applications when the total amount exceeds a certain percentage of the remaining investment amount, including: The approved visa forms and their attachments are encrypted and stored, a unique visa number is generated, and a traceable index is established between the visa number and the project number and work order number. The operating costs for this visa will be deducted from the project budget ledger, the remaining investment amount of the project will be updated, and the remaining investment amount of the project after deduction, the visa number, and the attachment data will be verified. Calculate the cumulative count T4a of abnormalities identified in S4, and calculate the dynamic approval upgrade threshold T5d. When the approval score of a visa application is lower than the dynamic approval upgrade threshold T5d, the visa application will be upgraded to the next higher approval node. The overall severity score Ss is calculated based on the frequency of approval delays, the duration of delays, and the proportion of visa amount. Calculate the allowable deviation threshold T6e, and tighten project amount control when the actual number of deviations exceeds T6e. When multiple visas are in the approval process at the same time, the sum of the estimated costs of each visa is used as the total amount of concurrent visas. When the total amount of concurrent visas exceeds a preset percentage of the remaining investment amount, the lower priority visas are suspended according to their priority.

7. The method for real-time recording and tiered online visa approval of power distribution network operations according to claim 1, characterized in that, The S6 records historical check-in locations and time patterns, establishes a spatial reference center point, radius, and time reference value and dispersion, calculates spatiotemporal deviation, verifies the integrity of exchangeable image file formats, location consistency, and temporal continuity, calculates reliability and classifies it with thresholds, and issues warnings and marks when reliability is not guaranteed, including: Record the historical check-in location distribution and historical operation time patterns of the person in charge of the operation within the preset historical time period, and establish the spatial reference center point, spatial reference radius, time reference center value, and time reference dispersion of the person in charge of the operation. The check-in spatiotemporal deviation value Db is calculated based on the first ratio of the spatial distance ds from the current check-in positioning coordinates to the spatial reference center point to the spatial reference radius Rs, and the second ratio of the time difference dt between the current check-in time and the time reference center value to the time reference dispersion σt. Extract exchangeable image file format metadata for each photo, verify the integrity of the metadata, verify the location consistency between the check-in location information and the photo location coordinates, and verify the time series continuity between the check-in time and the photo shooting time. The traceability reliability score Cs is calculated based on the metadata integrity, location consistency, time series continuity, and check-in time and space deviation value. The trace credibility score is compared with a preset credibility status threshold set to obtain the trace credibility status, including credible, pending verification, under verification and untrustworthy. When the credibility score of the record is lower than the preset credibility lower limit threshold, it is identified as an untrustworthy state, an early warning is sent to the approval terminal, and the corresponding visa form is marked as a key verification form.

8. A power distribution network operation real-time recording and hierarchical online visa approval system, characterized in that, include: The task association and cost estimation module is used to associate the power distribution network work order with the corresponding project, obtain the remaining investment amount of the project, calculate the estimated cost of the work, and determine whether the ratio of the remaining investment amount to the estimated cost is less than the ratio sub-threshold. The intelligent dispatching and task receiving module is used to filter the person in charge of the task and dispatch the task, determine whether the qualification matching score is less than the qualification matching sub-threshold, and raise the qualification matching sub-threshold when the ratio sub-threshold is triggered. The on-site real-scene recording module is used to collect check-in location information, check-in time, on-site operation photos and data, determine whether the real-scene recording is complete, and increase the shooting quantity threshold and tighten the operation location distance threshold when the qualification matching sub-threshold is triggered. The tiered visa approval module is used to perform preliminary review, secondary review and final review, perform data cross-validation and historical data comparison, and increase the preset cross-validation pass rate sub-threshold when the real-scene trace is incomplete; The visa completion and project amount closed-loop management module is used for visa archiving and project amount deduction. It calculates the dynamic approval upgrade threshold based on the cumulative count of anomalies and calculates the allowable deviation threshold based on the comprehensive severity score. When the actual number of deviations exceeds the threshold, project amount control is tightened. The Real-Scene Traceability Confidentiality Monitoring Module is used to monitor the credibility of real-scene traceability data and calculate and output a traceability credibility score to identify the status of traceability credibility. The approval timeout and escalation handling module is used to monitor the time spent on approvals at all levels and output the escalation handling status.

9. The power distribution network operation real-time recording and hierarchical online visa approval system according to claim 8, characterized in that, Also includes: Threshold linkage device, including: The threshold configuration unit is used to store the default parameters and dynamic adjustment rules for each threshold. The threshold monitoring unit is used to monitor the threshold trigger events of each module and broadcast them to downstream modules; The dynamic adjustment engine is used to calculate new parameter values ​​for the downstream threshold according to the dynamic adjustment rules after receiving an upstream threshold trigger event and send them to the corresponding module. The threshold status display unit is used to display the current value, trigger status, and linkage relationship of each threshold in real time; The dynamic adjustment rules include: When T1r is triggered, T2q is increased and T2g is tightened; When T2q is triggered, T3p is increased and T3g is tightened; When the real-scene recording is incomplete, T4s will adjust the settings and increase the proportion of manual review. When T4a increases, the upgrade trigger score is reduced according to the calculation formula of T5d; When Ss increases, the allowable deviation number is tightened according to the calculation formula of T6e.

10. The power distribution network operation real-time recording and hierarchical online visa approval system according to claim 8, characterized in that, The system further includes a memory and a processor. The memory includes a program for real-time tracking and graded online visa approval of distribution network operations. When the program for real-time tracking and graded online visa approval of distribution network operations is executed by the processor, it implements the steps of the method for real-time tracking and graded online visa approval of distribution network operations as described in any one of claims 1-7.

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