Special Gas and Chemicals Operation and Maintenance Service Management System

Abstract

The present invention discloses a special gas and chemical operation and maintenance service management system, which relates to the technical field of chemical management. In order to solve the problems in the prior art that the lack of intelligent optimization of demand prediction and inventory management for special gases and chemicals leads to unreasonable resource allocation or inventory shortages; the present invention realizes the balance between material supply and demand through adaptive demand prediction and dynamic inventory optimization algorithms, ensures the resource supply for operation and maintenance tasks, and at the same time combines supply chain interruption risk assessment to enhance supply chain resilience, ensures the stability of material supply, and provides early warning and emergency response support. According to the task priority dynamic sorting and path and resource scheduling optimization algorithms, it ensures the task completion rate and execution quality, and at the same time realizes cross-module information linkage, improves operation and maintenance efficiency, comprehensively evaluates the compliance and efficiency of the operation and maintenance process, provides continuous improvement strategies, and promotes the continuous improvement of system performance.

Description

Technical Field

[0001] The present invention relates to the technical field of chemical management, and particularly to a special gas and chemical operation and maintenance service management system. Background Art

[0002] In the current field of chemical management, due to their unique physical and chemical properties, special gases and chemicals often pose relatively high safety risks. The patent application with the publication number: CN117853014A discloses a gas and chemical operation and maintenance service management system. Through the monitoring data anomaly determination module, the safety monitoring data of chemical transportation, production, and storage is judged for anomalies, effectively improving the speed of anomaly data investigation. The comparison difference is converted into anomaly curve data, and the anomaly curve data is compared with the grade curve data. By observing the shape of the curve, the anomaly values in the data can be found. Through real-time safety monitoring of chemical transportation, production, and storage, these leaks and emissions can be detected in a timely manner, and corresponding measures can be taken for control and treatment, thereby reducing the harm to the environment. Through safety monitoring, these problems can be detected and processed in a timely manner to avoid their impact on production.

[0003] However, although the above patent solves the problems existing in the traditional management method, it lacks intelligent optimization of the demand prediction and inventory management of special gases and chemicals, resulting in unreasonable resource allocation or inventory shortages, and lacks a comprehensive operation and maintenance optimization plan, unable to achieve efficient task execution and risk prevention and control. Summary of the Invention

[0004] The purpose of the present invention is to provide a special gas and chemical operation and maintenance service management system, which realizes efficient resource allocation and task execution through intelligent inventory management, task scheduling, risk assessment, and performance optimization, ensures safety and environmental compliance, can monitor and warn of potential risks in real time, optimize operation and maintenance efficiency, reduce the accident rate, and enhance the sustainability and economic benefits of the overall operation and maintenance, so as to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A special gas and chemical operation and maintenance service management system, comprising:

[0007] An inventory management unit, configured to obtain the task plan of special gases and chemicals, predict the demand for special gases and chemicals based on historical task plan data, generate a demand plan for special gases and chemicals based on the prediction result, and adjust the inventory according to the demand plan of special gases and chemicals;

[0008] An operation and maintenance scheduling unit, which is used to execute each special gas and chemical task plan according to the task priorities of the obtained special gas and chemical task plans. At the same time, it optimizes resource allocation and path planning;

[0009] A risk assessment unit, which is used to obtain real-time monitoring data for executing special gas and chemical task plans, evaluate the risk levels of special gases and chemicals based on the real-time monitoring data, identify and predict potential risks, and issue early warnings for potential accident types based on the risk prediction results;

[0010] A performance optimization unit, which is used to determine the performance evaluation indicators of special gas and chemical task plans based on real-time monitoring data, and optimize the operation and maintenance cycle and resource allocation strategy based on the performance evaluation indicators in combination with the risk assessment results of the risk assessment unit.

[0011] Furthermore, an inventory management unit includes:

[0012] A task management module, which is used to obtain the actively uploaded special gas and chemical task plans, group and label the priorities of the task plans according to the gas types, usage scenarios and urgency involved in the task plans. At the same time, it obtains the real-time feedback results of the performance optimization unit and synchronizes the task status of the special gas and chemical task plans;

[0013] A demand forecasting module, which is used to obtain historical task plan data, determine the usage characteristics of special gas and chemical consumables, establish a differential forecasting model based on the consumable usage characteristics, predict the periodic demand trends and quantities, and generate short-term, medium-term and long-term material demand plans based on the forecasting results;

[0014] An inventory balance module, which is used to construct an inventory balance model, set the safety inventory threshold range according to the characteristics of special gases and chemicals, and determine the replenishment strategy according to the task plan and demand plan.

[0015] Furthermore, the inventory balance module also includes:

[0016] Obtain historical delivery records and historical real-time feedback data based on historical task plan data, and construct a supplier evaluation model based on the historical delivery records and historical real-time feedback data;

[0017] Comprehensively score the delivery time accuracy, quotation reasonableness and quality reliability of suppliers according to the supplier evaluation model, and generate supplier rating results to evaluate the stability of the supply chain;

[0018] Conduct supply chain interruption risk assessment according to the supplier rating results and supply chain stability assessment results, judge whether the inventory needs to be adjusted, and optimize the replenishment strategy according to the judgment results;

[0019] Furthermore, the operation and maintenance scheduling unit includes:

[0020] The task plan analysis module is used to generate the sorting result of each special gas and chemical task plan based on the priority annotation, generate the task execution order, and adjust the task execution order in combination with the task execution progress;

[0021] The resource management module is used to allocate task resources according to the resource requirements of the task plan in combination with the task execution order, monitor the availability status of each task resource in real time, and generate a resource allocation plan;

[0022] The path planning module is used to obtain the transportation starting point, destination and intermediate stations of the task plan, generate the transportation path in combination with the real-time traffic conditions and transportation restrictions. At the same time, according to the task priority and the resource allocation plan, optimize the transportation paths of not less than one task plan for path combination to generate a multi-task and multi-objective transportation path planning plan.

[0023] Further, the risk assessment unit includes:

[0024] The real-time monitoring module is used to collect the real-time monitoring data of special gases and chemicals, perform anomaly detection on the real-time monitoring data, and identify abnormal data points;

[0025] The risk prediction module is used to establish a risk prediction model based on the monitoring data, evaluate the current risk level using the Bayesian network algorithm or regression analysis method, and identify potential accident types in combination with historical risk data and real-time monitoring data;

[0026] The grading early warning module is used to compare the risk prediction result with the preset risk level threshold to determine the risk level, trigger the corresponding early warning strategy according to different risk levels, and output visual early warning information;

[0027] The emergency response module is used to trigger the emergency treatment plan according to the early warning strategy, generate the corresponding disposal strategy, reallocate resources and adjust the task plan, and give priority to handling high-risk events.

[0028] Further, the performance optimization unit includes:

[0029] The operation and maintenance management module is used to compare the task plan progress with the actual task plan progress in real time according to the real-time monitoring data, identify the actual progress deviation of the task plan and classify it, and identify whether the real-time monitoring data meets the execution standards and safety thresholds set in the task plan;

[0030] The performance evaluation module is used to build a task performance evaluation model, comprehensively evaluate the task plan based on multi-dimensional performance evaluation indicators, analyze the correlation between performance evaluation indicators, identify inefficient factors, and generate optimization suggestions in combination with the actual task execution situation and the evaluation results of the risk assessment unit;

[0031] An environmental impact assessment module, which is used to obtain leakage and emission data in real-time monitoring data, evaluate the diffusion range and impact degree of environmental pollution, predict potential environmental impacts based on the evaluation results, and generate optimization suggestions.

[0032] Furthermore, the operation and maintenance management module is specifically as follows:

[0033] Based on the difference between the execution progress of the task plan analyzed from real-time monitoring data and the time nodes set in the task plan, classify according to the characteristics of the task progress deviation, and mark the specific deviation degree;

[0034] Based on historical task plan data, determine the standard behavior pattern of task execution, and determine the safety thresholds of various indicators according to the standard behavior pattern;

[0035] When it is detected that the real-time monitoring data exceeds the safety thresholds of the preset indicators, extract the characteristics of the abnormal data in the real-time monitoring data, match the extracted characteristics with the preset abnormal rule library, and identify the abnormal type;

[0036] Associate the actual progress of the current task and the data abnormality information to generate a real-time status adjustment plan for the task plan. At the same time, feedback the identified task progress deviation and abnormal type, and adjust the task execution order of the task plan.

[0037] Furthermore, the performance optimization unit is also used to judge whether the operations of the operation and maintenance personnel are compliant according to the real-time monitoring data, and its steps include:

[0038] Based on the real-time monitoring data, obtain multiple operation sample data of the operation and maintenance personnel. Each operation sample data includes the operation steps, operation duration, key equipment usage frequency and abnormal trigger records of the operation and maintenance personnel;

[0039] Extract the key operation parameters of the operation and maintenance personnel from each operation sample data, conduct compliance identification on the extracted key operation parameters, and obtain the identification result;

[0040] According to the operation standards set in the task plan, compare the key operation parameters with the standard process library to judge whether the key operation parameters meet the operation requirements;

[0041] According to the key operation parameters and their identification results in each operation sample data, calculate the compliance coefficient of the operation and maintenance personnel during the operation process;

[0042] Judge whether the compliance coefficient is lower than the preset standard compliance threshold. If so, extract multiple frame operation images of the operation and maintenance personnel based on the real-time monitoring data. Otherwise, confirm that the operations of the operation and maintenance personnel are compliant;

[0043] Extract the operation and maintenance behavior characteristic factors in each frame of the operation image, and screen out the violation characteristics and compliance characteristics according to the operation and maintenance behavior characteristic factors in each frame of the operation image;

[0044] Calculate the compliance degree of the operation and maintenance personnel according to the violation characteristics and compliance characteristics in each frame of the operation image, confirm whether the compliance degree is less than the preset threshold. If so, confirm that the operation of the operation and maintenance personnel is non-compliant and output the specific violation behavior. Otherwise, confirm that the operation of the operation and maintenance personnel is compliant.

[0045] Furthermore, the special gas and chemical operation and maintenance service management system further includes: a visualization monitoring unit for realizing the visualization management of the storage of special gases and chemicals;

[0046] Among them, the visualization monitoring unit includes:

[0047] A basic model construction module for constructing a basic model based on the structure in the storage warehouse;

[0048] A substance storage model management module for managing the storage models corresponding to the storage of each special gas and chemical configured in advance;

[0049] A monitoring and analysis module for filling the basic model by calling the storage model based on the inbound and outbound data and the inspection data obtained from the inspection of the storage warehouse to obtain a monitoring model;

[0050] A first marking module for marking the monitoring data of each sensor for monitoring in the storage warehouse in the monitoring model;

[0051] An evolution analysis module for performing evolution analysis on each storage model filled in the monitoring model to determine the risk areas and the corresponding risk levels of each risk area;

[0052] A second marking module for marking each risk area in the monitoring model;

[0053] Among them, the evolution analysis module performs evolution analysis on each storage model filled in the monitoring model to determine the risk areas and the corresponding risk levels of each risk area, and performs the following operations:

[0054] Call the evolution analysis library corresponding to each storage model;

[0055] According to the resume associated with the storage model, retrieve the associated risk-related areas from the evolution analysis library;

[0056] Represent the risk-related areas of each storage model in the monitoring model;

[0057] Based on the represented risk-related areas, determine the risk values of each point in the monitoring model; the calculation formula for the risk value of each point is as follows:

[0058] ;

[0059] Wherein, represents the risk value of the th point; represents the th risk-related area; is the coefficient value determined based on the relative position of the th point and the th risk-related area; is the total number of risk-related areas;

[0060] When the th point is not within the th risk-related area, ; When the th point is within the th risk-related area, , wherein, , are respectively the central risk coefficient value and the step coefficient configured corresponding to the th risk-related area, is the radius of the risk-related area, is the distance from the th point to the center of the th risk-related area;

[0061] Determine the risk level of each point according to the preset risk value and risk level table;

[0062] Determine multiple closed areas corresponding to each risk level according to the same risk level.

[0063] Furthermore, the special gas and chemical operation and maintenance service management system further includes:

[0064] An inspection analysis unit for constructing an inspection route based on a monitoring model and analyzing the inspection behavior during or after the inspection to determine the inspection effect;

[0065] Among them, the inspection analysis unit includes:

[0066] A path planning area determination module for analyzing the monitoring model to determine the path planning area;

[0067] An inspection target area determination module for analyzing the monitoring model to determine the inspection target area;

[0068] An inspection path planning module for analyzing the path planning area and the inspection target area to determine the inspection path and determine the inspection parameters of each inspection point on the inspection path;

[0069] An inspection tracking and monitoring module, which is used to track and monitor the inspection based on the determined inspection path and the inspection parameters of each inspection point on the inspection path, and output the task completion status after the inspection is completed;

[0070] Among them, the inspection path planning module analyzes the path planning area and the inspection target area, determines the inspection path and the inspection parameters of each inspection point on the inspection path, including:

[0071] Determine whether there are entrances and exits of the warehouse in the path planning area and the number of entrances and exits;

[0072] When the number of entrances and exits is zero, use the two points with the farthest distance as the starting point and the ending point respectively;

[0073] When the number of entrances and exits is one, use the entrance and exit as the starting point and the ending point;

[0074] When the number of entrances and exits is two or more, use the two entrances and exits with the farthest distance as the starting point and the ending point respectively;

[0075] Based on the starting point and the ending point, conduct path planning in the inspection planning area to obtain the planned inspection path;

[0076] Map the difference area between the inspection target area and the inspection path planning area to the inspection path and determine the mapped points;

[0077] Determine the line-of-sight set according to the positions between the mapped points and each sampling point on the difference area; among them, each line-of-sight direction vector in the line-of-sight set is expressed as ; , , are respectively the coordinate values of the th sampling point on each axis of the configured coordinate axis; , , are respectively the coordinate values of the mapped point on each axis of the configured coordinate axis; Pre-configured height value;

[0078] According to the pre-configured sampling rules, conduct point sampling on the inspection path, obtain multiple inspection points and construct an inspection point set;

[0079] Screen and correct the points in the inspection point set according to the mapped points and add the mapped points;

[0080] Configure initial inspection parameters for the non-mapped points in the inspection point set;

[0081] Among them, the inspection tracking and monitoring module performs tracking and monitoring on the inspection based on the determined inspection path and the inspection parameters of each inspection point on the inspection path, and outputs the task completion status after the inspection is completed, including:

[0082] Analyze the inspection images and construct an inspection set corresponding to the inspection personnel;

[0083] Calculate the angles between the line-of-sight direction vectors in the inspection set and the line-of-sight direction vectors in the line-of-sight set. The angle calculation formula is as follows:

[0084] ;

[0085] In the formula, represents the angle between the line-of-sight direction vector in the inspection set and the line-of-sight direction vector in the line-of-sight set; , , are the respective parameter values of the line-of-sight direction vector in the inspection set; , , are the respective parameter values of the line-of-sight direction vector in the line-of-sight set;

[0086] Associate the line-of-sight direction vector of the inspection set with the smallest angle with the line-of-sight direction vector in the line-of-sight set;

[0087] Based on the number of associated line-of-sight direction vectors, calculate the completion degree of each inspection point in the inspection point set. The calculation formula is as follows:

[0088] ;

[0089] In the formula, t represents the number of inspection points, represents the completion degree of the th inspection point; represents the number of pairs of associations between the line-of-sight direction vector of the inspection set corresponding to the th inspection point and the line-of-sight direction vector in the line-of-sight set; is the total number of line-of-sight direction vectors of the inspection set corresponding to the th inspection point; is the total number of line-of-sight direction vectors of the line-of-sight set corresponding to the th inspection point;

[0090] Based on the completion degree of each inspection point in the inspection point set, calculate the inspection completion degree. The calculation formula is as follows:

[0091] ;

[0092] In the formula, represents the inspection completion degree; represents the The preset weight coefficient corresponding to each inspection point; is the total number of inspection points.

[0093] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0094] Achieve the balance between material supply and demand through the adaptive demand prediction and dynamic inventory optimization algorithm, ensure the resource supply for the operation and maintenance tasks, and at the same time enhance the supply chain resilience by combining the supply chain interruption risk assessment, ensure the stability of material supply, and provide early warning and emergency response support to prevent potential safety accidents. Dynamically sort according to the task priority and optimize the path and resource scheduling algorithm, efficiently allocate the operation and maintenance tasks, optimize the scheduling path, and track the task execution status in real time to ensure the task completion rate and execution quality. At the same time, realize the cross-module information linkage, improve the operation and maintenance efficiency, comprehensively evaluate the compliance and efficiency of the operation and maintenance process, provide continuous improvement strategies, promote the continuous improvement of system performance, ensure that the operation and maintenance services meet the regulatory requirements and continue to optimize, so as to achieve more efficient, safer and more intelligent operation and maintenance services. Brief Description of the Drawings

[0095] Figure 1 It is a module diagram of the special gas and chemical operation and maintenance service management system of the present invention. Detailed Embodiments

[0096] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0097] To solve the technical problems in the prior art that there is a lack of intelligent optimization of the demand prediction and inventory management of special gases and chemicals, resulting in unreasonable resource allocation or inventory shortage, and there is a lack of a comprehensive operation and maintenance optimization plan, and it is impossible to achieve efficient task execution and risk prevention and control, please refer to Figure 1 This embodiment provides the following technical solutions:

[0098] The special gas and chemical operation and maintenance service management system includes:

[0099] An inventory management unit, which is used to obtain the special gas and chemical task plan, predict the demand for special gases and chemicals based on the historical task plan data, generate the demand plan for special gases and chemicals based on the prediction result, and adjust the inventory according to the demand plan for special gases and chemicals;

[0100] An operation and maintenance scheduling unit, which is used to execute each special gas and chemical task plan according to the task priorities of the obtained special gas and chemical task plans. At the same time, it optimizes resource allocation and path planning;

[0101] A risk assessment unit, which is used to obtain real-time monitoring data for executing special gas and chemical task plans, evaluate the risk levels of special gases and chemicals based on the real-time monitoring data, identify and predict potential risks, and issue early warnings based on the potential accident types of the risk prediction results;

[0102] A performance optimization unit, which is used to determine the performance evaluation indicators of special gas and chemical task plans based on real-time monitoring data, and optimize the operation and maintenance cycle and resource allocation strategy based on the performance evaluation indicators combined with the risk assessment results of the risk assessment unit.

[0103] In this embodiment, the balance between material supply and demand is achieved through an adaptive demand forecasting and dynamic inventory optimization algorithm to ensure the resource supply for operation and maintenance tasks. At the same time, the supply chain resilience is enhanced by combining the risk assessment of supply chain disruptions to ensure the stability of material supply, and early warning and emergency response support are provided to prevent potential safety accidents. According to the task priorities, dynamic sorting and path and resource scheduling optimization algorithms are used to efficiently allocate operation and maintenance tasks, optimize the scheduling path, and track the task execution status in real time to ensure the task completion rate and execution quality. At the same time, cross-module information linkage is realized to improve the operation and maintenance efficiency, comprehensively evaluate the compliance and efficiency of the operation and maintenance process, provide continuous improvement strategies, promote the continuous improvement of system performance, ensure that the operation and maintenance services comply with regulatory requirements and are continuously optimized, so as to achieve more efficient, safer and more intelligent operation and maintenance services.

[0104] In this embodiment, the inventory management unit includes:

[0105] A task management module, which is used to obtain the actively uploaded special gas and chemical task plans, group and label the priorities of the task plans according to the gas types, usage scenarios (such as transportation, storage or production) and urgency involved in the task plans. At the same time, it obtains the real-time feedback results of the performance optimization unit and synchronizes the task status of the special gas and chemical task plans, including the execution progress and completion feedback of the task plans, so as to realize the full life cycle management of tasks;

[0106] A demand forecasting module, which is used to obtain historical task plan data, determine the usage characteristics of special gas and chemical consumables, including high-frequency consumables and low-frequency consumables, establish a differential forecasting model based on the consumable usage characteristics, predict the periodic demand trends and quantities, and generate short-term, medium-term and long-term material demand plans based on the forecasting results;

[0107] In this embodiment, a time series analysis algorithm is used to predict the periodic demand trend. Combining with the task characteristics, a random forest model is adopted to predict the demand quantity according to the characteristics of historical similar tasks, such as task scale, duration, etc., and the seasonal demand fluctuations, unplanned demands, market supply conditions, etc. are comprehensively considered to dynamically adjust the demand prediction results;

[0108] An inventory balance module, which is used to build an inventory balance model, set a safety inventory threshold range according to the characteristics of special gases and chemicals, determine the replenishment strategy according to the task plan and demand plan, and ensure that the inventory meets the task requirements while reducing the cost waste caused by excessive inventory;

[0109] In this embodiment, the inventory balance module further includes:

[0110] Obtain historical delivery records and historical real-time feedback data based on historical task plan data, and build a supplier evaluation model based on the historical delivery records and historical real-time feedback data;

[0111] Comprehensively score the delivery time accuracy, quotation reasonableness and quality reliability of suppliers according to the supplier evaluation model, and generate supplier rating results to evaluate the stability of the supply chain;

[0112] Conduct supply chain interruption risk assessment according to the supplier rating results and the supply chain stability assessment results, judge whether the inventory needs to be adjusted, and optimize the replenishment strategy according to the judgment results.

[0113] In this embodiment, through the integration of task management, demand prediction and inventory balance, the efficient inventory management of special gases and chemicals is realized. By dynamically judging whether the inventory needs to be adjusted, an optimal replenishment plan is generated, and the inventory level is adjusted in real time to ensure the balance of inventory supply and demand, reduce the inventory cost and reduce the risk of out-of-stock, thus improving the overall operation efficiency.

[0114] In this embodiment, the operation and maintenance scheduling unit includes:

[0115] A task plan analysis module, which is used to generate the sorting result of each special gas and chemical task plan based on the priority annotation, and generate the task execution order, and adjust the task execution order in combination with the task execution progress, including adjustment strategies such as delayed tasks and emergency task insertion;

[0116] A resource management module, which is used to allocate task resources according to the resource requirements of the task plan (such as gas types, transportation equipment, operating personnel, etc.) in combination with the task execution order, monitor the availability status of each task resource in real time, and generate a resource allocation plan;

[0117] The path planning module is used to obtain the transportation starting point, destination and intermediate stations of the mission plan, and generate the transportation route based on the real-time traffic conditions (such as road conditions, weather, etc.) and transportation restrictions (such as special gas transportation safety requirements). At the same time, according to the task priority and resource allocation plan, the path combination optimization is performed on the transportation paths of no less than one mission plan to generate a multi-task, multi-objective transportation path planning plan to maximize transportation efficiency.

[0118] In this embodiment, the operation and maintenance scheduling unit sorts and dynamically adjusts task priorities through the task planning analysis module, optimizes the allocation and scheduling of key resources through the resource management module, optimizes the transportation route through the path planning module, ensures the efficient completion of tasks and maximizes the efficiency of resource utilization, and works in coordination with other units to achieve comprehensive optimization of operation and maintenance services.

[0119] In this embodiment, the risk assessment unit includes:

[0120] Real-time monitoring module, used to collect real-time monitoring data of special gases and chemicals, including gas flow, pressure, temperature, leakage detection information, etc., to perform anomaly detection on real-time monitoring data and identify abnormal data points;

[0121] The risk prediction module is used to establish a risk prediction model based on monitoring data, use Bayesian network algorithm or regression analysis method to evaluate the current risk level, and combine historical risk data with real-time monitoring data to identify potential accident types (such as leakage, explosion or storage environment exceeding the standard, etc.);

[0122] The graded warning module is used to compare the risk prediction results with the preset risk level threshold to determine the risk level, trigger the corresponding warning strategy according to different risk levels, including low risk prompt, medium risk reminder and high risk alarm, and output visual warning information;

[0123] The emergency response module is used to trigger the emergency handling plan according to the early warning strategy, generate corresponding disposal strategies, reallocate resources and adjust task plans, and give priority to high-risk events.

[0124] In this embodiment, the risk assessment unit monitors the task execution process through the real-time monitoring module, evaluates and predicts potential risks using the risk prediction module, classifies risks into levels and outputs warning information through the graded warning module, and combines with the emergency response module to link other units to quickly respond to high-risk events, thereby ensuring the safety and stability of system operation.

[0125] In this embodiment, the performance optimization unit includes:

[0126] The operation and maintenance management module is used to compare the progress of the task plan with the actual task plan progress in real time according to the real-time monitoring data, identify and classify the actual progress deviation of the task plan, such as delayed tasks, tasks completed ahead of schedule, etc., and identify whether the real-time monitoring data meets the execution standards and safety thresholds set in the task plan. Combining with the task execution adjustment strategy of the task plan analysis module, it feeds back the progress deviation and data anomalies to the task management module for dynamically adjusting the task plan and execution strategy;

[0127] The performance evaluation module is used to construct a task performance evaluation model, comprehensively evaluate the task plan based on multi-dimensional performance evaluation indicators such as task completion time, cost, and equipment utilization rate, analyze the correlation between performance evaluation indicators, identify inefficient factors, and generate optimization suggestions in combination with the actual task execution situation and the evaluation results of the risk assessment unit, including improving the task process, adjusting resource allocation, or optimizing equipment usage strategies, etc.;

[0128] The environmental impact assessment module is used to obtain the leakage and emission data (such as gas components, concentrations, leakage times, etc.) in the real-time monitoring data, evaluate the diffusion range and impact degree of environmental pollution, predict potential environmental impacts based on the evaluation results, and generate optimization suggestions, including improving chemical transportation, storage, or waste treatment processes to reduce environmental pollution risks.

[0129] In this embodiment, the operation and maintenance management module specifically includes:

[0130] Based on the real-time monitoring data, analyze the difference between the execution progress of the task plan and the time nodes set in the task plan, classify according to the characteristics of the task progress deviation, including delayed tasks, tasks completed ahead of schedule, tasks with normal progress, etc., and mark the specific deviation degree;

[0131] Based on the historical task plan data, determine the standard behavior pattern of task execution, and determine the safety thresholds of various indicators according to the standard behavior pattern;

[0132] When it is detected that the real-time monitoring data exceeds the safety thresholds of the preset indicators, extract the characteristics of the abnormal data in the real-time monitoring data, match the extracted characteristics with the preset abnormal rule library, and identify the types of anomalies, including but not limited to operation errors, equipment anomalies, environmental interferences, etc.;

[0133] Associate the current actual task progress and data anomaly information to generate a real-time status adjustment plan for the task plan, including rearranging delayed tasks, optimizing resource scheduling for tasks completed ahead of schedule, real-time processing strategies for abnormal data, etc. At the same time, feed back the identified task progress deviation and anomaly types, and adjust the task execution order of the task plan, including rearranging task priorities, reallocating resources, and optimizing operation processes, etc.

[0134] In this embodiment, the operation and maintenance management module realizes precise control of the execution progress of the task plan through real-time monitoring data analysis, effectively identifies and classifies task progress deviations, and ensures the timeliness of task execution. At the same time, by establishing a standard behavior pattern and an exception rule library, potential problems such as operation errors and equipment anomalies are identified in a timely manner, a real-time status adjustment plan is generated, and resource scheduling and operation processes are optimized. This improves the flexibility and accuracy of task execution, reduces operation and maintenance risks, enhances the overall operation and maintenance efficiency, ensures the smooth progress of tasks, and brings continuous and stable operation benefits to the enterprise.

[0135] In this embodiment, the performance optimization unit is further configured to determine whether the operations of the operation and maintenance personnel are compliant according to the real-time monitoring data, and the steps include:

[0136] Obtain multiple operation sample data of the operation and maintenance personnel based on the real-time monitoring data, and each operation sample data includes the operation steps, operation duration, key equipment usage frequency, and exception trigger records of the operation and maintenance personnel;

[0137] Extract the key operation parameters of the operation and maintenance personnel from each operation sample data. The key operation parameters include the step execution order, task completion time, equipment operation frequency, and number of exception alarms. Perform compliance identification on the extracted key operation parameters to obtain an identification result, and the identification result includes compliant, partially compliant, and non-compliant operation types and specific deviation reasons;

[0138] According to the operation standards set in the task plan, compare the key operation parameters with the standard process library to determine whether the key operation parameters meet the operation requirements;

[0139] Calculate the compliance coefficient of the operation and maintenance personnel during the operation process according to the key operation parameters and their identification results in each operation sample data;

[0140] Determine whether the compliance coefficient is lower than the preset standard compliance threshold. If so, extract multiple frames of operation images of the operation and maintenance personnel based on the real-time monitoring data. Otherwise, confirm that the operations of the operation and maintenance personnel are compliant;

[0141] Extract the operation behavior feature factors in each frame of operation image. The operation behavior feature factors include operation postures, equipment interaction behaviors, and key step execution statuses. Screen out violation features and compliance features from the operation behavior feature factors in each frame of operation image. The violation features include step omissions, incorrect operation actions, overtime stays, etc., and the compliance features include completing steps in sequence, equipment operation accuracy, etc.;

[0142] Calculate the compliance degree of the operation and maintenance personnel according to the violation features and compliance features in each frame of operation image, and confirm whether the compliance degree is less than the preset threshold. If so, confirm that the operations of the operation and maintenance personnel are non-compliant and output specific violation behaviors. Otherwise, confirm that the operations of the operation and maintenance personnel are compliant.

[0143] In this embodiment, the performance optimization unit combines real-time monitoring data with multiple frames of operation images to extract key parameters, identify compliance, and conduct quantitative evaluation on the operation process of the operation and maintenance personnel, so as to accurately judge whether the operation is compliant, and feedback the specific reasons and characteristics of non-compliant behaviors to the task management module, realizing dynamic supervision and continuous optimization of the entire operation process.

[0144] In one embodiment, the special gas and chemical operation and maintenance service management system further includes: a visualization monitoring unit for realizing the visualization management of the storage of special gases and chemicals;

[0145] Among them, the visualization monitoring unit includes:

[0146] A basic model construction module for constructing a basic model based on the structure in the storage warehouse;

[0147] A substance storage model management module for managing the storage models corresponding to the storage of each special gas and chemical configured in advance;

[0148] A monitoring and analysis module for filling the basic model by retrieving the storage model based on the inbound and outbound data and the inspection data obtained from the inspection of the storage warehouse to obtain a monitoring model;

[0149] A first marking module for marking the monitoring data of each sensor for monitoring in the storage warehouse in the monitoring model;

[0150] An evolution analysis module for conducting evolution analysis on each storage model filled in the monitoring model to determine the risk areas and the corresponding risk levels of each risk area;

[0151] A second marking module for marking each risk area in the monitoring model; the marking methods include: showing the boundary of the risk area with a dotted line, and / or, the difference in the background color of the risk area;

[0152] Among them, the evolution analysis module conducts evolution analysis on each storage model filled in the monitoring model to determine the risk areas and the corresponding risk levels of each risk area, and performs the following operations:

[0153] Retrieve the evolution analysis library corresponding to each storage model; the evolution analysis library is configured in advance, and the evolution is mainly in terms of time, and relevant evolution is carried out according to the existence time of the storage model, mainly considering factors such as material spillage;

[0154] According to the resume associated with the storage model, retrieve the risk-related areas associated with it from the evolution analysis library; the associated resume includes storage time, storage method, stored substances, etc.;

[0155] Represent the risk-related areas of each storage model in the monitoring model;

[0156] Based on the represented risk-related areas, determine the risk values of each point in the monitoring model; the calculation formula for the risk value of each point is as follows:

[0157] ;

[0158] In the formula, represents the risk value of the th point; represents the th risk-related area; is the coefficient value determined according to the relative position of the th point and the th risk-related area; is the total number of risk-related areas;

[0159] When the th point is not within the th risk-related area, ; when the th point is within the th risk-related area, , where , are respectively the central risk coefficient value and the step coefficient configured for the th risk-related area, is the radius of the risk-related area, is the distance from the th point to the center of the th risk-related area;

[0160] According to the preset risk value and risk level table, determine the risk level of each point; the risk value and risk level table is pre-configured, and the risk level and risk value are in one-to-one correspondence in the table;

[0161] According to the same risk level, determine multiple closed areas corresponding to each risk level.

[0162] For the safety of special gases and chemicals, patrol inspection is inevitable. How to ensure the effectiveness of patrol inspection; in one embodiment, the special gas and chemical operation and maintenance service management system further includes:

[0163] A patrol inspection analysis unit, configured to construct a patrol inspection route based on the monitoring model and analyze the patrol inspection behavior during or after the patrol inspection to determine the patrol inspection effect;

[0164] Among them, the patrol inspection analysis unit includes:

[0165] A path planning area determination module for analyzing the monitoring model to determine the path planning area; the path planning area is the area where the distance between each storage model is greater than a preset first width threshold;

[0166] An inspection target area determination module for analyzing the monitoring model to determine the inspection target area; the inspection target area is the area where the distance between each storage model is greater than a preset second width threshold; the first width threshold is greater than the second width threshold;

[0167] An inspection path planning module for analyzing the path planning area and the inspection target area to determine the inspection path and determine the inspection parameters of each inspection point on the inspection path; the inspection parameters include residence time, line of sight set, etc.;

[0168] An inspection tracking and monitoring module for tracking and monitoring the inspection based on the determined inspection path and the inspection parameters of each inspection point on the inspection path, and outputting the task completion status after the inspection is completed;

[0169] Among them, the inspection path planning module analyzes the path planning area and the inspection target area, determines the inspection path and determines the inspection parameters of each inspection point on the inspection path, including:

[0170] Determine whether there are entrances and exits of the warehouse in the path planning area and the number of entrances and exits;

[0171] When the number of entrances and exits is zero, the two points with the farthest distance are used as the starting point and the ending point respectively;

[0172] When the number of entrances and exits is one, the entrance and exit are used as the starting point and the ending point;

[0173] When the number of entrances and exits is two or more, the two entrances and exits with the farthest distance are used as the starting point and the ending point respectively;

[0174] Based on the starting point and the ending point, conduct path planning within the inspection planning area to obtain the planned inspection path;

[0175] Map the difference area between the inspection target area and the inspection path planning area to the inspection path and determine the mapped points; the determination of the mapped points is based on the point on the inspection path that is closest to the center point of the side of the difference area closest to the inspection path planning area;

[0176] Determine the line of sight set according to the positions between the mapped points and each sampling point on the difference area; among them, each line of sight direction vector in the line of sight set is expressed as ; 、 、 are respectively the The coordinate values of each sampling point on each axis of the configured coordinate axes; , , Are respectively the coordinate values of the mapping point on each axis of the configured coordinate axes; Pre-configured height value;

[0177] Perform point sampling on the patrol path according to the pre-configured sampling rules, obtain multiple patrol points and construct a patrol point set;

[0178] Screen and correct the points in the patrol point set according to the mapping points and add the mapping points;

[0179] Configure initial patrol parameters for the non-mapping points in the patrol point set;

[0180] Among them, the patrol tracking and monitoring module performs tracking and monitoring on the patrol based on the determined patrol path and the patrol parameters of each patrol point on the patrol path, and outputs the task completion status after the patrol is completed, including:

[0181] Analyze the patrol images and construct a patrol set corresponding to the patrol personnel;

[0182] Calculate the angles between each line-of-sight direction vector in the patrol set and each line-of-sight direction vector in the line-of-sight set. The angle calculation formula is as follows:

[0183] ;

[0184] In the formula, Represents the angle between the line-of-sight direction vector in the patrol set and the line-of-sight direction vector in the line-of-sight set; , , Are the respective parameter values of the line-of-sight direction vector in the patrol set; , , Are the respective parameter values of the line-of-sight direction vector in the line-of-sight set;

[0185] Associate the line-of-sight direction vector with the smallest angle in the patrol set with the line-of-sight direction vector in the line-of-sight set;

[0186] Based on the number of associated line-of-sight direction vectors, calculate the completion degree of each patrol point in the patrol point set. The calculation formula is as follows:

[0187] ;

[0188] In the formula, t represents the number of patrol points, Represents the Completion degree of the Represents the The logarithm of the association between the line-of-sight direction vector of the inspection set corresponding to an inspection point and the line-of-sight direction vectors within the line-of-sight set; is the total number of line-of-sight direction vectors of the inspection set corresponding to the th inspection point;

[0189] Based on the completion degrees of each inspection point in the inspection point set, calculate the inspection completion degree. The calculation formula is as follows:

[0190] ;

[0191] In the formula, represents the inspection completion degree; represents the preset weight coefficient corresponding to the th inspection point; is the total number of inspection points.

[0192] As described above, it is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.

Claims

1. Special gas and chemical operation and maintenance service management system, characterized in that, Including: An inventory management unit, which is used to obtain the task plans of special gases and chemicals, predict the demands of special gases and chemicals based on historical task plan data, generate demand plans for special gases and chemicals based on the prediction results, and adjust the inventory according to the demand plans of special gases and chemicals; An operation and maintenance scheduling unit, which is used to execute each task plan of special gases and chemicals according to the task priorities of the obtained task plans of special gases and chemicals. At the same time, it optimizes resource allocation and path planning; A risk assessment unit, which is used to obtain real-time monitoring data for executing the task plans of special gases and chemicals, evaluate the risk levels of special gases and chemicals based on the real-time monitoring data, identify and predict potential risks, and give early warnings based on the potential accident types of the risk prediction results; A performance optimization unit, which is used to determine the performance evaluation indicators of the task plans of special gases and chemicals based on the real-time monitoring data, and optimize the operation and maintenance cycle and resource allocation strategy based on the performance evaluation indicators combined with the risk assessment results of the risk assessment unit; A visualization monitoring unit, which is used to realize the visualization management of the storage of special gases and chemicals; An inspection analysis unit, which is used to construct an inspection route based on a monitoring model and analyze the inspection behavior during or after the inspection to determine the inspection effect; Among them, the visualization monitoring unit includes: A basic model construction module, which is used to construct a basic model based on the structure in the storage warehouse; A substance storage model management module, which is used to manage the storage models corresponding to the storage of each special gas and chemical configured in advance; A monitoring analysis module, which is used to fill the basic model by calling the storage model based on the inbound and outbound data and the inspection data of the inspection of the storage warehouse to obtain a monitoring model; A first marking module, which is used to mark the monitoring data of each sensor for monitoring in the storage warehouse in the monitoring model; An evolution analysis module, which is used to perform evolution analysis on each storage model filled in the monitoring model to determine the risk areas and the corresponding risk levels of each risk area; A second marking module, which is used to mark each risk area in the monitoring model; Among them, the evolution analysis module performs evolution analysis on each storage model filled in the monitoring model to determine the risk areas and the corresponding risk levels of each risk area, and performs the following operations: Call the evolution analysis library corresponding to each storage model; According to the resume associated with the storage model, retrieve the risk-related areas associated therewith from the evolution analysis library; Represent the risk-related areas of each storage model in the monitoring model; Based on the represented risk-related areas, determine the risk values of each point in the monitoring model; the calculation formula for the risk values of each point is as follows: ； In the formula, represents the risk value of the th point position; represents the th risk-related area; is the coefficient value determined according to the relative position of the th point position and the th risk-related area; is the total number of risk-related areas; When the th point is not within the th risk-related area, ; when the th point is within the th risk-related area, , where , are respectively the central risk coefficient value and the step coefficient configured for the th risk-related area, is the radius of the risk-related area, is the distance from the th point to the center of the th risk-related area; according to the preset risk value and risk level table, determine the risk level of each point; According to the same risk level, determine multiple closed areas corresponding to each risk level; Among them, the inspection analysis unit includes: A path planning area determination module, which is used to analyze the monitoring model to determine the path planning area; An inspection target area determination module, which is used to analyze the monitoring model to determine the inspection target area; An inspection path planning module, which is used to analyze the path planning area and the inspection target area to determine the inspection path and determine the inspection parameters of each inspection point on the inspection path; The patrol inspection tracking and monitoring module is used to track and monitor the patrol inspection based on the determined patrol inspection path and the patrol inspection parameters of each patrol inspection point on the patrol inspection path, and output the task completion status after the patrol inspection is completed; Among them, the patrol inspection path planning module analyzes the path planning area and the patrol inspection target area, determines the patrol inspection path and determines the patrol inspection parameters of each patrol inspection point on the patrol inspection path, including: Determine whether there are entrances and exits of the storage warehouse in the path planning area and the number of entrances and exits; When the number of entrances and exits is zero, use the two points with the farthest distance as the starting point and the ending point respectively; When the number of entrances and exits is one, use the entrance and exit as the starting point and the ending point; When the number of entrances and exits is two or more, use the two entrances and exits with the farthest distance as the starting point and the ending point respectively; Based on the starting point and the ending point, perform path planning in the patrol inspection planning area to obtain the planned patrol inspection path; Map the difference area between the patrol inspection target area and the patrol inspection path planning area to the patrol inspection path and determine the mapped points; Determine a line-of-sight set according to the positions between the mapped points and the respective sampling points on the difference region; wherein, each line-of-sight direction vector in the line-of-sight set is expressed as ; , , are the coordinate values corresponding to the th sampling point on each axis of the configured coordinate axes; , , are the coordinate values corresponding to the mapping point on each axis of the configured coordinate axes; Pre-configured height value Sample the points on the patrol inspection path according to the pre-configured sampling rules, obtain multiple patrol inspection points and construct a patrol inspection point set; Screen and correct the points in the patrol inspection point set according to the mapped points and add the mapped points; Configure initial patrol inspection parameters for the non-mapped points in the patrol inspection point set; Among them, the patrol inspection tracking and monitoring module tracks and monitors the patrol inspection based on the determined patrol inspection path and the patrol inspection parameters of each patrol inspection point on the patrol inspection path, and outputs the task completion status after the patrol inspection is completed, including: Analyze the patrol inspection images and construct a patrol inspection set corresponding to the patrol inspection personnel; Calculate the angles between the line-of-sight direction vectors in each patrol inspection set and the line-of-sight direction vectors in the line-of-sight set. The angle calculation formula is as follows: ； Wherein, represents the angle between the line-of-sight direction vector in the inspection set and the line-of-sight direction vector in the line-of-sight set; , , are the respective parameter values of the line-of-sight direction vector in the inspection set; , , are the respective parameter values of the line-of-sight direction vector in the line-of-sight set; Associate the line-of-sight direction vector of the patrol inspection set with the smallest angle with the line-of-sight direction vectors in the line-of-sight set; Based on the number of associated line-of-sight direction vectors, calculate the completion degree of each patrol inspection point in the patrol inspection point set. The calculation formula is as follows: ； where \(t\) represents the number of inspection points, represents the completion degree of the \(i\)-th inspection point; represents the number of pairs of associated line-of-sight direction vectors of the inspection set corresponding to the \(i\)-th inspection point and the line-of-sight direction vectors within the line-of-sight set; is the total number of line-of-sight direction vectors of the inspection set corresponding to the \(i\)-th inspection point; is the total number of line-of-sight direction vectors of the line-of-sight set corresponding to the \(i\)-th inspection point; Based on the completion degree of each patrol inspection point in the patrol inspection point set, calculate the patrol inspection completion degree. The calculation formula is as follows: ； Wherein, represents the inspection completion degree; represents the preset weight coefficient corresponding to the th inspection point; and N is the total number of inspection points.

2. The special gas and chemical operation and maintenance service management system according to claim 1, wherein The inventory management unit includes: The task management module is used to obtain the task plans of special gases and chemicals actively uploaded, group and label the task plans according to the gas types, usage scenarios and emergency levels involved in the task plans. At the same time, obtain the real-time feedback results of the performance optimization unit and synchronize the task status of the task plans of special gases and chemicals; The demand forecasting module is used to obtain historical task plan data, determine the usage characteristics of special gas and chemical consumables, establish a differential forecasting model based on the consumable usage characteristics, forecast the periodic demand trend and demand volume, and generate short-term, medium-term and long-term material demand plans based on the forecasting results; The inventory balance module is used to construct an inventory balance model, set the safety inventory threshold range according to the characteristics of special gases and chemicals, and determine the replenishment strategy according to the task plan and the demand plan.

3. The special gas and chemical operation and maintenance service management system according to claim 2, characterized in that The inventory balance module also includes: Obtain the historical delivery records and historical real-time feedback data based on the historical task plan data, and construct a supplier evaluation model based on the historical delivery records and historical real-time feedback data; Comprehensively score the delivery time accuracy, quotation reasonableness, and quality reliability of suppliers according to the supplier evaluation model, generate supplier rating results, and evaluate the stability of the supply chain; Conduct supply chain interruption risk assessment based on the supplier rating results and the supply chain stability assessment results, determine whether inventory needs to be adjusted, and optimize the replenishment strategy according to the judgment results.

4. The special gas and chemical operation and maintenance service management system according to claim 3, wherein Operation and maintenance scheduling unit, including: Task plan analysis module, which is used to generate the sorting results of each special gas and chemical task plan based on priority marking, generate the task execution order, and adjust the task execution order in combination with the task execution progress; Resource management module, which is used to allocate task resources according to the resource requirements of the task plan, in combination with the task execution order, monitor the availability status of each task resource in real time, and generate a resource allocation plan; Path planning module, which is used to obtain the transportation starting point, destination, and intermediate stations of the task plan, generate a transportation path in combination with the real-time traffic conditions and transportation restrictions. At the same time, according to the task priority and resource allocation plan, optimize the path combination of the transportation paths of not less than one task plan to generate a multi-task and multi-objective transportation path planning plan.

5. The special gas and chemical operation and maintenance service management system according to claim 4, characterized in that Risk assessment unit, including: Real-time monitoring module, which is used to collect real-time monitoring data of special gases and chemicals, detect anomalies in the real-time monitoring data, and identify abnormal data points; Risk prediction module, which is used to establish a risk prediction model based on the monitoring data, evaluate the current risk level using the Bayesian network algorithm or regression analysis method, and identify potential accident types in combination with historical risk data and real-time monitoring data; Hierarchical early warning module, which is used to compare the risk prediction results with the preset risk level threshold to determine the risk level, trigger corresponding early warning strategies according to different risk levels, and output visual early warning information; Emergency response module, which is used to trigger the emergency treatment plan according to the early warning strategy, generate corresponding disposal strategies, reallocate resources and adjust the task plan, and give priority to handling high-risk events.

6. The special gas and chemical operation and maintenance service management system according to claim 5, characterized in that Performance optimization unit, including: Operation and maintenance management module, which is used to compare the task plan progress with the actual task plan progress in real time according to the real-time monitoring data, identify the actual progress deviation of the task plan and classify it, and identify whether the real-time monitoring data meets the execution standards and safety thresholds set in the task plan; Performance evaluation module, which is used to construct a task performance evaluation model, comprehensively evaluate the task plan based on multi-dimensional performance evaluation indicators, analyze the correlation between performance evaluation indicators, identify inefficient factors, and generate optimization suggestions in combination with the actual task execution situation and the evaluation results of the risk assessment unit; Environmental impact assessment module, which is used to obtain the leakage and emission data in the real-time monitoring data, evaluate the diffusion range and impact degree of environmental pollution, predict potential environmental impacts based on the evaluation results, and generate optimization suggestions.

7. The special gas and chemical operation and maintenance service management system according to claim 6, characterized in that Operation and maintenance management module, specifically: Analyze the difference between the execution progress of the task plan and the time node set in the task plan based on the real-time monitoring data, classify according to the characteristics of the task progress deviation, and mark the specific deviation degree; Determine the standard behavior pattern of task execution based on historical task plan data, and determine the safety thresholds of various indicators according to the standard behavior pattern; When it is detected that the real-time monitoring data exceeds the safety thresholds of the preset indicators, extract the features of the abnormal data in the real-time monitoring data, match the extracted features with the preset abnormal rule library, and identify the abnormal type; Associate the actual progress of the current task with the data abnormality information to generate a real-time status adjustment plan for the task plan. At the same time, feedback the identified task progress deviation and abnormal type, and adjust the task execution order of the task plan.

8. The special gas and chemical operation and maintenance service management system according to claim 7, characterized in that, The performance optimization unit is also used to judge whether the operations of the operation and maintenance personnel are compliant according to the real-time monitoring data. The steps include: Obtain multiple operation sample data of the operation and maintenance personnel based on the real-time monitoring data. Each operation sample data includes the operation steps, operation duration, key equipment usage frequency, and abnormal trigger records of the operation and maintenance personnel; Extract the key operation parameters of the operation and maintenance personnel from each operation sample data, perform compliance identification on the extracted key operation parameters, and obtain the identification result; According to the operation standards set in the task plan, compare the key operation parameters with the standard process library to judge whether the key operation parameters meet the operation requirements; Calculate the compliance coefficient of the operation and maintenance personnel during the operation according to the key operation parameters and identification results in each operation sample data; Judge whether the compliance coefficient is lower than the preset standard compliance threshold. If so, extract multiple frame operation images of the operation and maintenance personnel based on the real-time monitoring data. Otherwise, confirm that the operations of the operation and maintenance personnel are compliant; Extract the operation behavior feature factors in each frame of operation image, and screen out the violation features and compliance features according to the operation behavior feature factors in each frame of operation image; Calculate the compliance degree of the operation and maintenance personnel according to the violation features and compliance features in each frame of operation image, confirm whether the compliance degree is less than the preset threshold. If so, confirm that the operations of the operation and maintenance personnel are non-compliant and output the specific violation behaviors. Otherwise, confirm that the operations of the operation and maintenance personnel are compliant.

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