Special gas and chemical operation and maintenance service management system

Abstract

The invention discloses a special gas and chemical operation and maintenance service management system, and relates to the technical field of chemical management. In order to solve the problem of unreasonable resource allocation or inventory shortage caused by lack of intelligent optimization of demand prediction and inventory management of special gases and chemicals in the prior art. According to the method, material supply and demand balance is realized through adaptive demand prediction and a dynamic inventory optimization algorithm, resource supply of operation and maintenance tasks is ensured, supply chain interruption risk assessment is combined to enhance supply chain elasticity, material supply stability is ensured, early warning and emergency response support are provided, and the risk assessment efficiency is improved. According to task priority dynamic sorting and a path and resource scheduling optimization algorithm, the task completion rate and execution quality are ensured, meanwhile, cross-module information linkage is achieved, the operation and maintenance efficiency is improved, the compliance and efficiency of the operation and maintenance process are comprehensively evaluated, a continuous improvement strategy is provided, and continuous improvement of system performance is promoted.

Description

Technical Field

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

[0002] In the current field of chemical management, special gases and chemicals often have high safety risks due to their unique physical and chemical properties. The patent application with publication number: CN117853014A discloses a gas and chemical operation and maintenance service management system, which uses the monitoring data abnormality judgment module to judge the safety monitoring data of chemical transportation, production and storage for abnormality, effectively improving the speed of abnormal data screening, converting the contrast difference into abnormal curve data, and overlapping and comparing the abnormal curve data with the grade curve data. By observing the shape of the curve, the abnormal values ​​in the data can be found. By real-time safety monitoring of the transportation, production and storage of chemicals, these leaks and emissions can be discovered in time, and corresponding measures can be taken to control and deal with them, thereby reducing the harm to the environment. Through safety monitoring, these problems can be discovered and dealt with in time to avoid the impact of these problems on production.

[0003] However, although the above patent solves the problems existing in traditional management methods, it lacks intelligent optimization of demand forecasting and inventory management for special gases and chemicals, resulting in unreasonable resource allocation or inventory shortages. In addition, there is a lack of comprehensive operation and maintenance optimization solutions, and it is impossible 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, and can monitor and warn of potential risks in real time, optimize operation and maintenance efficiency, reduce the occurrence of accidents, and improve the sustainability and economic benefits of overall operation and maintenance, so as to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: Special gas and chemical operation and maintenance service management system, including: The inventory management unit is used to obtain the special gas and chemical task plan, forecast the demand for special gas and chemicals based on the historical task plan data, generate the demand plan for special gas and chemicals based on the forecast results, and adjust the inventory according to the demand plan for special gas and chemicals; The operation and maintenance scheduling unit is used to execute each special gas and chemical task plan according to the task priority of the acquired special gas and chemical task plan, and at the same time, optimize resource allocation and path planning; The risk assessment unit is used to obtain real-time monitoring data for executing special gas and chemical mission plans, assess the risk level of special gases and chemicals based on the real-time monitoring data, identify and predict potential risks, and issue early warnings based on potential accident types based on risk prediction results; The performance optimization unit is used to determine the performance evaluation indicators of special gas and chemical task plans based on real-time monitoring data, and to 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.

[0006] Furthermore, the inventory management unit includes: The task management module is used to obtain the actively uploaded special gas and chemical task plans, and group and prioritize 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; Demand forecasting module, which is used to obtain historical task planning data, determine the usage characteristics of special gas and chemical consumables, establish a differentiated forecasting model based on the usage characteristics of consumables, predict the periodic demand trend and demand volume, and generate short-term, medium-term and long-term material demand plans based on the forecast results; The inventory balance module is used to build 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.

[0007] Furthermore, the inventory balancing module also includes: Obtain historical delivery records and historical real-time feedback data based on historical task planning data, and build a supplier evaluation model based on historical delivery records and historical real-time feedback data; Comprehensively score suppliers’ delivery time accuracy, quotation rationality, and quality reliability based on the supplier evaluation model, generate supplier rating results, and evaluate supply chain stability; Conduct supply chain disruption risk assessment based on supplier rating results and supply chain stability assessment results, determine whether inventory needs to be adjusted, and optimize replenishment strategies based on the results; Furthermore, the operation and maintenance scheduling unit includes: The task plan analysis module 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, used to allocate task resources according to the resource requirements of the task plan and the order of task execution, monitor the availability status of each task resource in real time, and generate a resource allocation plan; The path planning module is used to obtain the transportation starting point, destination and intermediate stations of the mission plan, generate the transportation path based on the real-time traffic conditions and transportation restrictions, and at the same time, according to the task priority and resource allocation plan, perform path combination optimization on the transportation paths of no less than one mission plan to generate a multi-task, multi-objective transportation path planning plan.

[0008] Furthermore, the risk assessment unit includes: Real-time monitoring module, used to collect real-time monitoring data of special gases and chemicals, perform anomaly detection on real-time monitoring data, and identify abnormal data points; 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; 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, and output visual warning information; 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.

[0009] Furthermore, the performance optimization unit includes: The operation and maintenance management module is used to compare the task plan progress with the actual task plan progress in real time based on the real-time monitoring data, identify and classify the actual progress deviation of the task plan, and identify whether the real-time monitoring data meets the execution standards and safety thresholds set in the task plan; The performance evaluation module is used to build a task performance evaluation model, conduct a comprehensive evaluation of the task plan based on multi-dimensional performance evaluation indicators, analyze the correlation between performance evaluation indicators, identify inefficient factors, and generate optimization suggestions based on the actual execution of the task and the evaluation results of the risk assessment unit; The environmental impact assessment module is used to obtain leakage and emission data from real-time monitoring data, evaluate the spread and impact of environmental pollution, predict potential environmental impacts based on the assessment results, and generate optimization suggestions.

[0010] Furthermore, the operation and maintenance management module is specifically: Based on 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 the tasks according to their progress deviation characteristics, and mark the specific degree of deviation; Determine the standard behavior pattern of task execution based on historical task planning data, and determine the safety threshold of each indicator based on the standard behavior pattern; When it is detected that the real-time monitoring data exceeds the preset safety thresholds of various indicators, feature extraction is performed on the abnormal data in the real-time monitoring data, and the extracted features are matched with the preset abnormal rule library to identify the abnormal type; The actual progress of the current task and the data anomaly information are associated to generate a real-time status adjustment plan for the task plan. At the same time, the identified task progress deviations and anomaly types are fed back as data to adjust the task execution order of the task plan.

[0011] Furthermore, the performance optimization unit is also used to determine whether the operation of the operation and maintenance personnel is compliant based on the real-time monitoring data, and the steps include: Based on real-time monitoring data, multiple operation sample data of operation and maintenance personnel are obtained. 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 key operation parameters of operation and maintenance personnel from each operation sample data, perform compliance identification on the extracted key operation parameters, and obtain identification results; 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; According to the key operation parameters and their identification results in each operation sample data, the compliance coefficient of the operation and maintenance personnel during the operation is calculated; 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 operation and maintenance personnel's operation is compliant. Extract the operation and maintenance behavior characteristic factors in each frame of the operation image, and screen out the violation characteristics and compliance characteristics based on the operation and maintenance behavior characteristic factors in each frame of the operation image; The compliance of the operation and maintenance personnel is calculated based on the violation features and compliance features in each frame of the operation image, and it is confirmed whether the compliance is less than the preset threshold. If so, it is confirmed that the operation and maintenance personnel's operation is non-compliant and the specific violation behavior is output. Otherwise, it is confirmed that the operation and maintenance personnel's operation is compliant.

[0012] Furthermore, the special gas and chemical operation and maintenance service management system further includes: a visual monitoring unit for realizing visual management of storage of special gases and chemicals; Among them, the visual monitoring unit includes: The basic model building module is used to build the basic model based on the structure in the warehouse; Material storage model management module, used to manage pre-configured storage models corresponding to various special gas storage and chemical storage; The monitoring and analysis module is used to retrieve the storage model to fill the basic model and obtain the monitoring model based on the in-and-out data and the inspection data of the warehouse; A first marking module is used to identify the monitoring data of each monitoring sensor in the warehouse in the monitoring model; The evolution analysis module is used to perform evolution analysis on each storage model filled in the monitoring model to determine the risk area and the risk level corresponding to each risk area; The second marking module is used to mark each risk area of ​​the monitoring model; The evolution analysis module performs evolution analysis on each storage model filled in the monitoring model, determines the risk area and the risk level corresponding to each risk area, and performs the following operations: Retrieve the evolution analysis library corresponding to each storage model; According to the corresponding associated records of the storage model, the corresponding associated risk-related areas are retrieved from the evolution analysis library; In the monitoring model, the risk-related areas of each storage model are represented; Based on the risk-related areas shown, the risk value of each point in the monitoring model is determined; the risk value calculation formula for each point is as follows: ; In the formula, Indicates The risk value of each point; Indicates risk-related areas; Based on the Points and The coefficient value is determined by the relative position of the risk-related areas; is the total number of risk-related areas; When The point is not in When in a risk-related area, ; When the The point is located at When in a risk-related area, ,in, , Respectively The central risk coefficient value and step coefficient corresponding to each risk-related area are configured. is the radius of the risk-related area, For the The distance between points distance from the center of the risk-related area; Determine the risk level of each point based on the preset risk value and risk level table; According to the same risk level, multiple closed areas corresponding to each risk level are determined.

[0013] Furthermore, the special gas and chemical operation and maintenance service management system also includes: The inspection analysis unit is used to construct an inspection route based on the monitoring model and analyze the inspection behavior during or after the inspection to determine the inspection effect; The inspection and analysis unit includes: A path planning area determination module is used to analyze the monitoring model and determine the path planning area; Inspection target area determination module, used to analyze the monitoring model and determine the inspection target area; Inspection path planning module, used to analyze the path planning area and the inspection target area, determine the inspection path and determine the inspection parameters of each inspection point on the inspection path; Inspection tracking and monitoring module, 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; 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: Determine whether there are any warehouse entrances and exits in the route planning area and the number of entrances and exits; 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; When the number of entrances and exits is one, the entrance and exit is used as the starting point and the ending point; When there are two or more entrances and exits, the two entrances and exits farthest from each other are used as the starting point and the ending point respectively; Perform path planning in the inspection planning area based on the starting point and the end point to obtain the planned inspection path; Map the difference area between the inspection target area and the inspection route planning area onto the inspection route and determine the mapping point; According to the position between the mapping point and each sampling point on the difference area, the sight set is determined; among them, each sight direction vector in the sight set is expressed as ; , , Respectively The sampling points correspond to the coordinate values ​​on each axis of the configured coordinate axis; , , They are the coordinate values ​​of the mapping points on each axis of the configured coordinate axis; Preconfigured altitude values; According to the pre-configured sampling rules, the inspection path is sampled, multiple inspection points are obtained and an inspection point set is constructed; According to the mapping points, the inspection points are screened and modified and the mapping points are added; Configure initial inspection parameters for non-mapped points in the inspection point set; Among them, the inspection tracking and monitoring module tracks and monitors 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: Analyze the inspection images and construct the inspection set corresponding to the inspection personnel; Calculate the angle between each sight direction vector in the inspection set and each sight direction vector in the sight set. The angle calculation formula is as follows: ; In the formula, Represents the angle between the sight direction vector in the inspection set and the sight direction vector in the sight set; , , are the parameter values ​​of the sight direction vector in the inspection set; , , are the parameter values ​​of the sight direction vector in the sight set; Associating the sight direction vector of the inspection set with the smallest angle with the sight direction vectors in the sight set; Based on the associated sight direction vector number and, the completion degree of each inspection point in the inspection point set is calculated. The calculation formula is as follows: ; In the formula, t represents the number of inspection points. Indicates The completion rate of each inspection point; Indicates The logarithm of the correlation between the sight direction vector of the inspection set corresponding to each inspection point and the sight direction vector in the sight set; For the The total number of sight direction vectors of the inspection set corresponding to the inspection points; For the The total number of sight direction vectors of the sight set corresponding to the inspection points; Based on the completion degree of each inspection point in the inspection point set, the inspection completion degree is calculated. The calculation formula is as follows: ; In the formula, Indicates the inspection completion degree; Indicates The preset weight coefficient corresponding to each inspection point; The total number of inspection points.

[0014] Compared with the prior art, the present invention has the following beneficial effects: Through adaptive demand forecasting and dynamic inventory optimization algorithms, we can achieve a balance between supply and demand of materials and ensure the supply of resources for operation and maintenance tasks. At the same time, we can enhance the resilience of the supply chain by combining supply chain disruption risk assessment, ensure the stability of material supply, and provide early warning and emergency response support to prevent potential safety accidents. According to the dynamic sorting of task priorities and the optimization algorithm of path and resource scheduling, we can efficiently allocate operation and maintenance tasks, optimize the scheduling path, and track the execution of tasks in real time to ensure the completion rate and execution quality of tasks. At the same time, we can realize cross-module information linkage, improve operation and maintenance efficiency, comprehensively evaluate the compliance and efficiency of operation and maintenance processes, provide continuous improvement strategies, promote the continuous improvement of system performance, ensure that operation and maintenance services comply with regulatory requirements and are continuously optimized to achieve more efficient, safer and smarter operation and maintenance services. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a module diagram of the special gas and chemical operation and maintenance service management system of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] In order to solve the technical problems in existing technologies, such as lack of intelligent optimization of demand forecasting and inventory management for special gases and chemicals, resulting in unreasonable resource allocation or inventory shortage, lack of comprehensive operation and maintenance optimization solutions, and inability to achieve efficient task execution and risk prevention and control, please refer to Figure 1 , this embodiment provides the following technical solutions: Special gas and chemical operation and maintenance service management system, including: The inventory management unit is used to obtain the special gas and chemical task plan, forecast the demand for special gas and chemicals based on the historical task plan data, generate the demand plan for special gas and chemicals based on the forecast results, and adjust the inventory according to the demand plan for special gas and chemicals; The operation and maintenance scheduling unit is used to execute each special gas and chemical task plan according to the task priority of the acquired special gas and chemical task plan, and at the same time, optimize resource allocation and path planning; The risk assessment unit is used to obtain real-time monitoring data for executing special gas and chemical mission plans, assess the risk level of special gases and chemicals based on the real-time monitoring data, identify and predict potential risks, and issue early warnings based on potential accident types based on risk prediction results; The performance optimization unit is used to determine the performance evaluation indicators of special gas and chemical task plans based on real-time monitoring data, and to 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.

[0018] In this embodiment, the balance between supply and demand of materials is achieved through adaptive demand forecasting and dynamic inventory optimization algorithms to ensure the supply of resources for operation and maintenance tasks. At the same time, supply chain disruption risk assessment is combined to enhance supply chain resilience, ensure the stability of material supply, and provide early warning and emergency response support to prevent potential safety accidents. According to the dynamic sorting of task priorities and the path and resource scheduling optimization algorithm, operation and maintenance tasks are efficiently allocated, the scheduling path is optimized, and the task execution is tracked in real time to ensure the task completion rate and execution quality. At the same time, cross-module information linkage is realized to improve operation and maintenance efficiency, comprehensively evaluate the compliance and efficiency of operation and maintenance processes, provide continuous improvement strategies, promote continuous improvement of system performance, ensure that operation and maintenance services comply with regulatory requirements and are continuously optimized to achieve more efficient, safer and smarter operation and maintenance services.

[0019] In this embodiment, the inventory management unit includes: The task management module is used to obtain the actively uploaded special gas and chemical task plans, and group and prioritize 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, synchronizes the task status of the special gas and chemical task plans, including the execution progress and completion feedback of the task plans, and realizes the full life cycle management of the tasks; The demand forecasting module is used to obtain historical mission planning data, determine the usage characteristics of special gas and chemical consumables, including high-frequency consumables and low-frequency consumables, establish a differentiated forecasting model based on the usage characteristics of consumables, predict the periodic demand trend and demand volume, and generate short-term, medium-term and long-term material demand plans based on the forecast results; In this embodiment, a time series analysis algorithm is used to predict the periodic demand trend. Combined with the task characteristics, a random forest model is used to predict the demand based on the characteristics of similar historical tasks, such as task scale and duration, and seasonal demand fluctuations, unplanned demand, market supply conditions, etc. are comprehensively considered to dynamically adjust the demand forecast results; The inventory balance module is used to build 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 to ensure that the inventory meets the task requirements while reducing the cost waste caused by excessive inventory; In this embodiment, the inventory balancing module further includes: Obtain historical delivery records and historical real-time feedback data based on historical task planning data, and build a supplier evaluation model based on historical delivery records and historical real-time feedback data; Comprehensively score suppliers’ delivery time accuracy, quotation rationality, and quality reliability based on the supplier evaluation model, generate supplier rating results, and evaluate supply chain stability; Conduct supply chain disruption risk assessment based on supplier rating results and supply chain stability assessment results to determine whether inventory needs to be adjusted, and optimize replenishment strategies based on the judgment results.

[0020] In this embodiment, efficient inventory management of special gases and chemicals is achieved by integrating task management, demand forecasting and inventory balance. By dynamically judging whether the inventory needs to be adjusted, the optimal replenishment plan is generated, and the inventory level is adjusted in real time to ensure inventory supply and demand balance, reduce inventory costs and reduce the risk of supply interruption, thereby improving overall operational efficiency.

[0021] In this embodiment, the operation and maintenance scheduling unit includes: The task plan analysis module 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, including adjustment strategies such as delayed tasks and urgent task insertion; Resource management module, which is used to allocate task resources according to the resource requirements of the task plan (such as gas type, transportation equipment, operators, etc.) and the order of task execution, monitor the availability status of each task resource in real time, and generate a resource allocation plan; 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.

[0022] 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.

[0023] In this embodiment, the risk assessment unit includes: 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; 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.); 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; 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.

[0024] 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.

[0025] In this embodiment, the performance optimization unit includes: The operation and maintenance management module is used to compare the task plan progress with the actual task plan progress in real time based on the real-time monitoring data, identify and classify the actual progress deviation of the task plan, such as delayed tasks, early completion of tasks, etc., and identify whether the real-time monitoring data meets the execution standards and safety thresholds set in the task plan. Combined with the task execution adjustment strategy of the task plan analysis module, the progress deviation and data anomaly are fed back to the task management module for dynamic adjustment of the task plan and execution strategy; The performance evaluation module is used to build a task performance evaluation model, conduct a comprehensive evaluation of the task plan based on multi-dimensional performance evaluation indicators such as task completion time, cost, and equipment utilization, analyze the correlation between performance evaluation indicators, identify inefficient factors, and generate optimization suggestions based on the actual execution of the task and the evaluation results of the risk assessment unit, including improving the task process, adjusting resource allocation, or optimizing equipment use strategies. The environmental impact assessment module is used to obtain leakage and emission data (such as gas composition, concentration, leakage time, etc.) in real-time monitoring data, evaluate the spread and impact of environmental pollution, predict potential environmental impacts based on the assessment results, and generate optimization suggestions, including improving chemical transportation, storage or waste disposal processes to reduce environmental pollution risks.

[0026] In this embodiment, the operation and maintenance management module is specifically: Based on real-time monitoring data, analyze the difference between the execution progress of the task plan and the time nodes set in the task plan, and classify the tasks according to the characteristics of task progress deviation, including delayed tasks, tasks completed ahead of schedule, tasks on track, etc., and mark the specific degree of deviation; Determine the standard behavior pattern of task execution based on historical task planning data, and determine the safety threshold of each indicator based on the standard behavior pattern; When it is detected that the real-time monitoring data exceeds the preset safety thresholds of various indicators, feature extraction is performed on the abnormal data in the real-time monitoring data, and the extracted features are matched with the preset abnormal rule library to identify the abnormal type, including but not limited to operation error, equipment abnormality, environmental interference, etc.; The actual progress of the current task and the data exception information are associated to generate a real-time status adjustment plan for the task plan, including delayed task rescheduling, early completion of resource scheduling optimization, and real-time abnormal data processing strategy. At the same time, the identified task progress deviations and exception types are fed back as data to adjust the task execution order of the task plan, including task priority rescheduling, resource reallocation, and operation process optimization.

[0027] In this embodiment, the operation and maintenance management module realizes accurate 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 standard behavior patterns and abnormal rule libraries, potential problems such as operation errors and equipment abnormalities are identified in a timely manner, and real-time status adjustment plans are generated to optimize resource scheduling and operation processes. The flexibility and accuracy of task execution are improved, the operation and maintenance risks are reduced, the overall operation and maintenance efficiency is improved, the smooth progress of tasks is ensured, and sustained and stable operational benefits are brought to the enterprise.

[0028] In this embodiment, the performance optimization unit is also used to determine whether the operation of the operation and maintenance personnel is compliant based on the real-time monitoring data, and the steps include: Based on real-time monitoring data, multiple operation sample data of operation and maintenance personnel are obtained. 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 key operation parameters of operation and maintenance personnel from each operation sample data. Key operation parameters include step execution sequence, task completion time, equipment operation frequency and number of abnormal alarms. Perform compliance identification on the extracted key operation parameters to obtain identification results. The identification results include compliant, partially compliant and non-compliant operation types and specific deviation reasons. 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; According to the key operation parameters and their identification results in each operation sample data, the compliance coefficient of the operation and maintenance personnel during the operation is calculated; 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 operation and maintenance personnel's operation is compliant. Extract the operation and maintenance behavior characteristic factors in each frame of the operation image. The operation and maintenance behavior characteristic factors include operation posture, device interaction behavior, and key step execution status. According to the operation and maintenance behavior characteristic factors in each frame of the operation image, filter out violation characteristics and compliance characteristics. Violation characteristics include step omission, incorrect operation action, timeout, etc. Compliance characteristics include completing steps in order, device operation accuracy, etc.; The compliance of the operation and maintenance personnel is calculated based on the violation features and compliance features in each frame of the operation image, and it is confirmed whether the compliance is less than the preset threshold. If so, it is confirmed that the operation and maintenance personnel's operation is non-compliant and the specific violation behavior is output. Otherwise, it is confirmed that the operation and maintenance personnel's operation is compliant.

[0029] In this embodiment, the performance optimization unit combines real-time monitoring data with multi-frame operation images to extract key parameters, identify compliance and quantitatively evaluate the operation process of the operation and maintenance personnel, so as to accurately determine whether the operation is compliant, and feedback the specific causes and characteristics of non-compliant behavior to the task management module, thereby realizing dynamic supervision and continuous optimization of the entire operation process.

[0030] In one embodiment, the special gas and chemical operation and maintenance service management system further includes: a visual monitoring unit for realizing visual management of storage of special gases and chemicals; Among them, the visual monitoring unit includes: The basic model building module is used to build the basic model based on the structure in the warehouse; Material storage model management module, used to manage pre-configured storage models corresponding to various special gas storage and chemical storage; The monitoring and analysis module is used to retrieve the storage model to fill the basic model and obtain the monitoring model based on the in-and-out data and the inspection data of the warehouse; A first marking module is used to identify the monitoring data of each monitoring sensor in the warehouse in the monitoring model; The evolution analysis module is used to perform evolution analysis on each storage model filled in the monitoring model to determine the risk area and the risk level corresponding to each risk area; The second marking module is used to mark each risk area of ​​the monitoring model; the marking method includes: showing the risk area boundary with a dotted line, and / or the difference in background color of the risk area; The evolution analysis module performs evolution analysis on each storage model filled in the monitoring model, determines the risk area and the risk level corresponding to each risk area, and performs the following operations: Retrieve the evolution analysis library corresponding to each storage model; the evolution analysis library is pre-configured, and the evolution is mainly in time. According to the existence time of the storage model, relevant evolution is performed, mainly considering factors such as material spillage; According to the history associated with the storage model, the corresponding risk-related area is retrieved from the evolution analysis library; the associated history includes storage time, storage method, storage material, etc.; In the monitoring model, the risk-related areas of each storage model are represented; Based on the risk-related areas shown, the risk value of each point in the monitoring model is determined; the risk value calculation formula for each point is as follows: ; In the formula, Indicates The risk value of each point; Indicates risk-related areas; Based on the Points and The coefficient value is determined by the relative position of the risk-related areas; is the total number of risk-related areas; When The point is not in When in a risk-related area, ; When the The point is located at When in a risk-related area, ,in, , Respectively The central risk coefficient value and step coefficient corresponding to each risk-related area are configured. is the radius of the risk-related area, For the The distance between points distance from the center of the risk-related area; Determine the risk level of each point based on the preset risk value and risk level table; the risk value and risk level table is pre-configured, and the risk level and risk value are associated one-to-one in the table; According to the same risk level, multiple closed areas corresponding to each risk level are determined.

[0031] For the safety of special gases and chemicals, inspection is inevitable. How to ensure the effectiveness of inspection? In one embodiment, the special gas and chemical operation and maintenance service management system also includes: The inspection analysis unit is used to construct an inspection route based on the monitoring model and analyze the inspection behavior during or after the inspection to determine the inspection effect; The inspection and analysis unit includes: A path planning area determination module is used to analyze the monitoring model and determine the path planning area; the path planning area is an area where the distance between each storage model is greater than a preset first width threshold; The inspection target area determination module is used to analyze the monitoring model and determine the inspection target area; the inspection target area is an 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; Inspection path planning module is used to analyze the path planning area and the inspection target area, determine the inspection path and the inspection parameters of each inspection point on the inspection path; the inspection parameters include the dwell time, sight set, etc. Inspection tracking and monitoring module, 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; 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: Determine whether there are any warehouse entrances and exits in the route planning area and the number of entrances and exits; 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; When the number of entrances and exits is one, the entrance and exit is used as the starting point and the ending point; When there are two or more entrances and exits, the two entrances and exits farthest from each other are used as the starting point and the ending point respectively; Perform path planning in the inspection planning area based on the starting point and the end point to obtain the planned inspection path; The difference area between the inspection target area and the inspection path planning area is mapped onto the inspection path and the mapping point is determined; the mapping point is determined by the point on the inspection path that is closest to the center point of the edge closest to the inspection path planning area. According to the position between the mapping point and each sampling point on the difference area, the sight set is determined; among them, each sight direction vector in the sight set is expressed as ; , , Respectively The sampling points correspond to the coordinate values ​​on each axis of the configured coordinate axis; , , They are the coordinate values ​​of the mapping points on each axis of the configured coordinate axis; Preconfigured altitude values; According to the pre-configured sampling rules, the inspection path is sampled, multiple inspection points are obtained and an inspection point set is constructed; According to the mapping points, the inspection points are screened and modified and the mapping points are added; Configure initial inspection parameters for non-mapped points in the inspection point set; Among them, the inspection tracking and monitoring module tracks and monitors 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: Analyze the inspection images and construct the inspection set corresponding to the inspection personnel; Calculate the angle between each sight direction vector in the inspection set and each sight direction vector in the sight set. The angle calculation formula is as follows: ; In the formula, Represents the angle between the sight direction vector in the inspection set and the sight direction vector in the sight set; , , are the parameter values ​​of the sight direction vector in the inspection set; , , are the parameter values ​​of the sight direction vector in the sight set; Associating the sight direction vector of the inspection set with the smallest angle with the sight direction vectors in the sight set; Based on the associated sight direction vector number and, the completion degree of each inspection point in the inspection point set is calculated. The calculation formula is as follows: ; In the formula, t represents the number of inspection points. Indicates The completion rate of each inspection point; Indicates The logarithm of the correlation between the sight direction vector of the inspection set corresponding to each inspection point and the sight direction vector in the sight set; For the The total number of sight direction vectors of the inspection set corresponding to the inspection points; For the The total number of sight direction vectors of the sight set corresponding to the inspection points; Based on the completion degree of each inspection point in the inspection point set, the inspection completion degree is calculated. The calculation formula is as follows: ; In the formula, Indicates the inspection completion degree; Indicates The preset weight coefficient corresponding to each inspection point; The total number of inspection points.

[0032] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. Special gas and chemical operation and maintenance service management system, characterized by: include: The inventory management unit is used to obtain the special gas and chemical task plan, forecast the demand for special gas and chemicals based on the historical task plan data, generate the demand plan for special gas and chemicals based on the forecast results, and adjust the inventory according to the demand plan for special gas and chemicals; The operation and maintenance scheduling unit is used to execute each special gas and chemical task plan according to the task priority of the acquired special gas and chemical task plan, and at the same time, optimize resource allocation and path planning; The risk assessment unit is used to obtain real-time monitoring data for executing special gas and chemical mission plans, assess the risk level of special gases and chemicals based on the real-time monitoring data, identify and predict potential risks, and issue early warnings based on potential accident types based on risk prediction results; The performance optimization unit is used to determine the performance evaluation indicators of special gas and chemical task plans based on real-time monitoring data, and to 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.

2. The special gas and chemical operation and maintenance service management system according to claim 1, characterized in that: Inventory management unit, including: The task management module is used to obtain the actively uploaded special gas and chemical task plans, and group and prioritize 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; Demand forecasting module, which is used to obtain historical task planning data, determine the usage characteristics of special gas and chemical consumables, establish a differentiated forecasting model based on the usage characteristics of consumables, predict the periodic demand trend and demand volume, and generate short-term, medium-term and long-term material demand plans based on the forecast results; The inventory balance module is used to build 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.

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

4. The special gas and chemical operation and maintenance service management system according to claim 3, characterized in that: Operation and maintenance scheduling unit, including: The task plan analysis module 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; The resource management module is used to allocate task resources according to the resource requirements of the task plan and the task execution sequence, monitor the availability status of each task resource in real time, and generate a resource allocation plan; The path planning module is used to obtain the transportation starting point, destination and intermediate stations of the mission plan, generate the transportation path based on the real-time traffic conditions and transportation restrictions, and at the same time, according to the task priority and resource allocation plan, perform path combination optimization on the transportation paths of no less than one mission plan to generate a multi-task, 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, used to collect real-time monitoring data of special gases and chemicals, perform anomaly detection on real-time monitoring data, and identify abnormal data points; 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; 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, and output visual warning information; 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.

6. The special gas and chemical operation and maintenance service management system according to claim 5, characterized in that: Performance Optimization Unit, including: The operation and maintenance management module is used to compare the task plan progress with the actual task plan progress in real time based on the real-time monitoring data, identify and classify the actual progress deviation of the task plan, and identify whether the real-time monitoring data meets the execution standards and safety thresholds set in the task plan; The performance evaluation module is used to build a task performance evaluation model, conduct a comprehensive evaluation of the task plan based on multi-dimensional performance evaluation indicators, analyze the correlation between performance evaluation indicators, identify inefficient factors, and generate optimization suggestions based on the actual execution of the task and the evaluation results of the risk assessment unit; The environmental impact assessment module is used to obtain leakage and emission data from real-time monitoring data, evaluate the spread and impact of environmental pollution, predict potential environmental impacts based on the assessment 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: Based on 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 the tasks according to their progress deviation characteristics, and mark the specific degree of deviation; Determine the standard behavior pattern of task execution based on historical task planning data, and determine the safety threshold of each indicator based on the standard behavior pattern; When it is detected that the real-time monitoring data exceeds the preset safety thresholds of various indicators, feature extraction is performed on the abnormal data in the real-time monitoring data, and the extracted features are matched with the preset abnormal rule library to identify the abnormal type; The actual progress of the current task and the data anomaly information are associated to generate a real-time status adjustment plan for the task plan. At the same time, the identified task progress deviations and anomaly types are fed back as data to 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 determine whether the operation of the operation and maintenance personnel is compliant based on the real-time monitoring data. The steps include: Based on real-time monitoring data, multiple operation sample data of operation and maintenance personnel are obtained. 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 key operation parameters of operation and maintenance personnel from each operation sample data, perform compliance identification on the extracted key operation parameters, and obtain identification results; 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; Calculate the compliance coefficient of the operation and maintenance personnel during the operation process based on the key operation parameters and identification results in each operation sample data; 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 operation and maintenance personnel's operation is compliant. Extract the operation and maintenance behavior characteristic factors in each frame of the operation image, and screen out the violation characteristics and compliance characteristics based on the operation and maintenance behavior characteristic factors in each frame of the operation image; The compliance of the operation and maintenance personnel is calculated based on the violation features and compliance features in each frame of the operation image, and it is confirmed whether the compliance is less than the preset threshold. If so, it is confirmed that the operation and maintenance personnel's operation is non-compliant and the specific violation behavior is output. Otherwise, it is confirmed that the operation and maintenance personnel's operation is compliant.

9. The special gas and chemical operation and maintenance service management system according to claim 1, characterized in that: Also includes: Visual monitoring unit, used to realize visual management of storage of special gases and chemicals; Among them, the visual monitoring unit includes: The basic model building module is used to build the basic model based on the structure in the warehouse; Material storage model management module, used to manage pre-configured storage models corresponding to various special gas storage and chemical storage; The monitoring and analysis module is used to retrieve the storage model to fill the basic model and obtain the monitoring model based on the in-and-out data and the inspection data of the warehouse; A first marking module is used to identify the monitoring data of each monitoring sensor in the warehouse in the monitoring model; The evolution analysis module is used to perform evolution analysis on each storage model filled in the monitoring model to determine the risk area and the risk level corresponding to each risk area; The second marking module is used to mark each risk area of ​​the monitoring model; The evolution analysis module performs evolution analysis on each storage model filled in the monitoring model, determines the risk area and the risk level corresponding to each risk area, and performs the following operations: Retrieve the evolution analysis library corresponding to each storage model; According to the corresponding associated records of the storage model, the corresponding associated risk-related areas are retrieved from the evolution analysis library; In the monitoring model, the risk-related areas of each storage model are represented; Based on the risk-related areas shown, the risk value of each point in the monitoring model is determined; the risk value calculation formula for each point is as follows: ； In the formula, Indicates Risk value of each point; Indicates risk-related areas; Based on the Points and The coefficient value is determined by the relative position of the risk-related areas; is the total number of risk-related areas; When The point is not in When in a risk-related area, ; When the The point is located at When in a risk-related area, ,in, , Respectively The central risk coefficient value and step coefficient corresponding to each risk-related area are configured. is the radius of the risk-related area, For the The distance between points distance from the center of the risk-related area; Determine the risk level of each point based on the preset risk value and risk level table; According to the same risk level, multiple closed areas corresponding to each risk level are determined.

10. The special gas and chemical operation and maintenance service management system according to claim 9, characterized in that: Also includes: The inspection analysis unit is used to construct an inspection route based on the monitoring model and analyze the inspection behavior during or after the inspection to determine the inspection effect; The inspection and analysis unit includes: A path planning area determination module is used to analyze the monitoring model and determine the path planning area; Inspection target area determination module, used to analyze the monitoring model and determine the inspection target area; Inspection path planning module, used to analyze the path planning area and the inspection target area, determine the inspection path and determine the inspection parameters of each inspection point on the inspection path; Inspection tracking and monitoring module, 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; 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: Determine whether there are any warehouse entrances and exits in the route planning area and the number of entrances and exits; 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; When the number of entrances and exits is one, the entrance and exit is used as the starting point and the ending point; When there are two or more entrances and exits, the two entrances and exits farthest from each other are used as the starting point and the ending point respectively; Perform path planning in the inspection planning area based on the starting point and the end point to obtain the planned inspection path; Map the difference area between the inspection target area and the inspection route planning area onto the inspection route and determine the mapping point; According to the position between the mapping point and each sampling point on the difference area, the sight set is determined; among them, each sight direction vector in the sight set is expressed as ; , , Respectively The sampling points correspond to the coordinate values ​​on each axis of the configured coordinate axis; , , They are the coordinate values ​​of the mapping points on each axis of the configured coordinate axis; Preconfigured altitude values; Perform point sampling on the inspection path according to the pre-configured sampling rules, obtain multiple inspection points and build an inspection point set; According to the mapping points, the inspection points are screened and modified and the mapping points are added; Configure initial inspection parameters for non-mapped points in the inspection point set; Among them, the inspection tracking and monitoring module tracks and monitors 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: Analyze the inspection images and construct the inspection set corresponding to the inspection personnel; Calculate the angle between each sight direction vector in the inspection set and each sight direction vector in the sight set. The angle calculation formula is as follows: ； In the formula, Represents the angle between the sight direction vector in the inspection set and the sight direction vector in the sight set; , , are the parameter values ​​of the sight direction vector in the inspection set; , , are the parameter values ​​of the sight direction vector in the sight set; Associating the sight direction vector of the inspection set with the smallest angle with the sight direction vectors in the sight set; Based on the associated sight direction vector number and, the completion degree of each inspection point in the inspection point set is calculated. The calculation formula is as follows: ； In the formula, t represents the number of inspection points. Indicates The completion rate of each inspection point; Indicates The logarithm of the correlation between the sight direction vector of the inspection set corresponding to each inspection point and the sight direction vector in the sight set; For the The total number of sight direction vectors of the inspection set corresponding to the inspection points; For the The total number of sight direction vectors of the sight set corresponding to each inspection point; Based on the completion degree of each inspection point in the inspection point set, the inspection completion degree is calculated. The calculation formula is as follows: ； In the formula, Indicates the inspection completion degree; Indicates The preset weight coefficient corresponding to each inspection point; The total number of inspection points.

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