Intelligent arrangement, storage, tracking and control method and system for sulfur hexafluoride gas cylinder

Abstract

The application relates to the technical field of data processing, and discloses an intelligent arrangement, storage, tracking and control method and system for sulfur hexafluoride gas cylinders. The method comprises the following steps: performing leakage risk assessment through a sulfur hexafluoride concentration sensor and a gas cylinder pressure monitoring device to obtain an environmental risk data set; performing multi-dimensional state sensing on the gas cylinder according to an intelligent label and an inclination angle sensor to obtain a gas cylinder dynamic state information set; performing path optimization through a multi-target search algorithm to obtain a multi-target path cost matrix; performing Pareto optimal solution screening through a front set maintenance mechanism to obtain an optimal scheduling path set; and performing gas cylinder life cycle tracking based on a state machine model to obtain full life cycle tracking data. The application solves the problems of intelligent scheduling optimization and full life cycle tracking and control under multi-target constraint conditions in sulfur hexafluoride gas cylinder storage management.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to an intelligent arrangement, storage, tracking, and management method and system for sulfur hexafluoride gas cylinders. BACKGROUND

[0002] With the wide application of sulfur hexafluoride gas insulated equipment in power systems, the safety management of sulfur hexafluoride gas cylinders has become an important part of power operation and maintenance. In the prior art, the management of sulfur hexafluoride gas cylinders mainly adopts an intelligent management system based on RFID tags and sensors. By installing electronic tags or sensor devices on the gas cylinders, combining intelligent storage facilities and background management software, automatic identification, location positioning, state monitoring, warehouse entry and exit management, and other functions of the gas cylinders are realized. These systems use handheld terminals or fixed read-write devices to quickly inventory the gas cylinders, register the warehouse entry and exit, track the location, and automatically record the use history, maintenance status, and abnormal alarm information of the gas cylinders.

[0003] However, the lack of uniform technical standards makes it difficult for devices from different manufacturers to be compatible, forming information silos. RFID tags are easily damaged or subject to signal interference in harsh environments, affecting identification accuracy. Manual operations are still common, and the degree of automation is limited. Gas cylinder state monitoring mainly relies on periodic inspections and lacks real-time continuous monitoring capabilities. Historical data analysis and prediction capabilities are weak, making it difficult to provide strong support for decision-making. In particular, during the scheduling and storage management of gas cylinders, existing systems mainly focus on optimizing a single objective, such as the shortest path or the fastest time, and lack comprehensive consideration of multi-objective constraints.

[0004] When the number of gas cylinders in the storage area is large and the layout is complex, and safety, efficiency, and operational convenience need to be considered simultaneously, traditional single-objective path planning methods cannot provide a Pareto optimal solution, leading to low efficiency and increased safety risks in actual operations. Furthermore, existing technologies lack specialized optimization algorithms for the special physical and chemical properties of sulfur hexafluoride gas, making it difficult to effectively handle the coupled optimization problem of multiple factors such as sulfur hexafluoride diffusion characteristics, gas cylinder safety operation requirements, and storage environment constraints, thereby affecting the overall management effect and system practicality. SUMMARY

[0005] The present application provides an intelligent arrangement, storage, tracking, and management method and system for sulfur hexafluoride gas cylinders, which solves the problem of intelligent scheduling optimization and full life cycle tracking and management under multi-objective constraint conditions in the storage and management of sulfur hexafluoride gas cylinders.

[0006] In a first aspect, the application provides an intelligent arrangement storage and tracking control method for sulfur hexafluoride cylinders, which comprises: performing leakage risk assessment processing on a storage area by a sulfur hexafluoride concentration sensor and a cylinder pressure monitoring device to obtain an environmental risk data set containing a diffusion coefficient and a pressure decay parameter; performing multi-dimensional state perception processing on the sulfur hexafluoride cylinder according to an intelligent tag and an inclination angle sensor to obtain a cylinder dynamic state information set; performing path optimization processing on the environmental risk data set and the cylinder dynamic state information set by a multi-objective search algorithm to obtain a multi-objective path cost matrix; performing Pareto optimal solution compression screening processing on the multi-objective path cost matrix by a front set maintenance mechanism to obtain an optimal scheduling path set; and monitoring the optimal scheduling path set by a cylinder life cycle tracking algorithm based on a state machine model to obtain cylinder full life cycle tracking data.

[0007] In a second aspect, the application provides an intelligent arrangement storage and tracking control system for sulfur hexafluoride cylinders, which comprises:

[0008] An evaluation module, configured to perform leakage risk assessment processing on a storage area by a sulfur hexafluoride concentration sensor and a cylinder pressure monitoring device to obtain an environmental risk data set containing a diffusion coefficient and a pressure decay parameter;

[0009] A perception module, configured to perform multi-dimensional state perception processing on the sulfur hexafluoride cylinder according to an intelligent tag and an inclination angle sensor to obtain a cylinder dynamic state information set;

[0010] An optimization module, configured to perform path optimization processing on the environmental risk data set and the cylinder dynamic state information set by a multi-objective search algorithm to obtain a multi-objective path cost matrix;

[0011] A screening module, configured to perform Pareto optimal solution compression screening processing on the multi-objective path cost matrix by a front set maintenance mechanism to obtain an optimal scheduling path set;

[0012] A monitoring module, configured to monitor the optimal scheduling path set by a cylinder life cycle tracking algorithm based on a state machine model to obtain cylinder full life cycle tracking data.

[0013] In a third aspect, an intelligent arrangement storage and tracking control device for sulfur hexafluoride cylinders is provided, which comprises a memory and a processor, the memory stores a computer program capable of running on the processor, and the processor implements the intelligent arrangement storage and tracking control method for sulfur hexafluoride cylinders described above when executing the computer program.

[0014] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium has stored thereon a computer program, which, when executed by a processor, causes the processor to perform the above-mentioned method for intelligent arrangement, storage and tracking control of a sulfur hexafluoride cylinder.

[0015] In the technical scheme provided in the present application, the storage area is subjected to leakage risk assessment processing by the sulfur hexafluoride concentration sensor and the cylinder pressure monitoring device, and an environmental risk data set based on the diffusion coefficient and the pressure decay parameter is established, effectively solving the problem that the prior art lacks special monitoring for the special physical and chemical properties of sulfur hexafluoride gas. Meanwhile, the sulfur hexafluoride cylinder is subjected to multi-dimensional state perception processing according to the intelligent tag and the inclination angle sensor, and the obtained cylinder dynamic state information set not only contains traditional position and pressure information, but also fuses key parameters such as cylinder posture and content state, overcoming the technical defects of single state monitoring dimension and incomplete information in the prior art. The multi-objective path cost matrix obtained by performing path optimization processing on the environmental risk data set and the cylinder dynamic state information set by the multi-objective search algorithm breaks through the limitations of traditional single-objective optimization, realizes comprehensive consideration of the carrying cost, the safety cost and the equipment cost, and effectively improves the scientificity and practicality of the scheduling decision. The Pareto optimal solution compression and screening processing of the multi-objective path cost matrix by the front set maintenance mechanism ensures that the optimal scheduling path set can be quickly obtained under complex constraint conditions, significantly improving the calculation efficiency and response speed of the system, and solving the technical problems of high multi-objective optimization calculation complexity and poor real-time performance in the prior art.

[0016] In the specific application field of sulfur hexafluoride cylinder intelligent arrangement, storage and tracking control, the multi-objective search algorithm adopted in the present application is specially optimized for the diffusion characteristics, safety operation requirements and storage environment constraints of sulfur hexafluoride gas. The diffusion dynamics calculation and safety threshold constraint mechanism integrated in the algorithm enable the path planning to fully consider the greenhouse gas characteristics and safety risks of sulfur hexafluoride, and have stronger pertinence and applicability compared with general optimization algorithms. The safety filtering and scheduling priority weight processing in the front set maintenance mechanism ensures that efficiency maximization is realized under the premise of safety guarantee, and in particular when processing large-scale cylinder scheduling tasks, the compression and screening mechanism can significantly reduce the calculation complexity while maintaining the solution quality. The cylinder life cycle tracking algorithm based on the state machine model establishes a full-process digital archive from warehousing to scrapping through real-time monitoring of state transition trigger conditions and association analysis of historical records, not only solving the problem that the prior art lacks continuous monitoring capability, but also realizing automatic identification and tracing of safety events through association analysis with safety monitoring data, significantly improving the intelligent level and safety guarantee capability of sulfur hexafluoride cylinder management. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort based on these drawings.

[0018] Figure 1 An embodiment schematic diagram of the intelligent arrangement, storage and tracking control method for the sulfur hexafluoride gas cylinder in the embodiment of the present application;

[0019] Figure 2 An embodiment schematic diagram of the intelligent arrangement, storage and tracking control system for the sulfur hexafluoride gas cylinder in the embodiment of the present application;

[0020] Figure 3 An embodiment schematic diagram of the intelligent arrangement, storage and tracking control device for the sulfur hexafluoride gas cylinder in the embodiment of the present application. DETAILED DESCRIPTION

[0021] The embodiment of the present application provides an intelligent arrangement, storage and tracking control method and system for a sulfur hexafluoride gas cylinder. The terms "first", "second", "third", "fourth" and the like (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the term "comprising" or "having" and any variation thereof is intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0022] For the convenience of understanding, the specific process of the embodiment of the present application will be described below. Please refer to Figure 1 An embodiment of the intelligent arrangement, storage and tracking control method for the sulfur hexafluoride gas cylinder in the embodiment of the present application includes:

[0023] Step S101, performing leakage risk assessment processing on the storage area by the sulfur hexafluoride concentration sensor and the gas cylinder pressure monitoring device, to obtain an environmental risk data set containing diffusion coefficient and pressure decay parameters;

[0024] Step S102, performing multi-dimensional state perception processing on the sulfur hexafluoride gas cylinder according to the intelligent tag and the inclination angle sensor, to obtain a gas cylinder dynamic state information set;

[0025] Step S103, the environment risk data set and the cylinder dynamic state information set are processed by a multi-objective search algorithm to obtain a multi-objective path cost matrix;

[0026] Step S104, the multi-objective path cost matrix is processed by a front set maintenance mechanism to obtain a set of optimal scheduling paths.

[0027] Step S105, the set of optimal scheduling paths is monitored by a cylinder life cycle tracking algorithm based on a state machine model to obtain cylinder full life cycle tracking data.

[0028] It can be understood that the execution subject of the present application can be an intelligent arrangement and storage and tracking management system for sulfur hexafluoride cylinders, and can also be a terminal or a server, and the specific implementation is not limited herein. The server is taken as an example for description in the embodiments of the present application.

[0029] Specifically, the sulfur hexafluoride concentration sensor is deployed in the storage area according to a preset grid layout, and the concentration data collected by the sensor includes specific numerical values, time stamps and three-dimensional spatial coordinate information. The diffusion coefficient calculation determines the ratio of the concentration difference between adjacent time points to the spatial distance, and when a certain position detects a concentration of C1 at time t1 and a concentration of C2 at time t2, the diffusion rate is obtained by calculating the concentration change rate and the time interval. The cylinder pressure monitoring device continuously records the change trend of the pressure value, and the pressure decay parameter is calculated by comparing the difference between the initial pressure value and the current pressure value, combined with the time factor to obtain the pressure decline slope. The risk level evaluation takes the diffusion coefficient and the pressure decay parameter as input variables, and divides the storage area into three levels of high risk, medium risk and low risk according to the preset risk evaluation standard.

[0030] The intelligent tag reader scans the RFID tag on the cylinder to obtain the unique identification code of the cylinder, which is associated with the basic attribute information of the cylinder, including capacity specification, production batch, inspection validity period and other key parameters. The inclination angle sensor monitors the spatial posture of the cylinder in real time, measures the inclination angle of the cylinder relative to the horizontal plane through the principle of gravity sensing, the pitch angle reflects the front and rear inclination degree of the cylinder, and the roll angle reflects the left and right inclination state. The spatial positioning calculation matches the position information read by the RFID with the sensor coordinates to generate accurate coordinate data including X, Y and Z dimensions. The internal pressure value collected by the pressure sensor is compared with the preset purity table to determine the purity level and gas density parameters of sulfur hexafluoride through the corresponding relationship between pressure and purity. The integrated state fusion integrates the inclination state parameters, position state information and content state parameters to form a data set describing the current state of the cylinder.

[0031] The multi-objective search algorithm is used to process the environmental risk data set and the dynamic state information set of the gas cylinder. The algorithm first converts the risk distribution map of the storage area into a calculable numerical matrix, assigns a higher weight value to the high-risk area, and assigns a lower weight value to the safe passage. The carrying distance cost data is obtained by calculating the straight-line distance between the current position and the target position of the gas cylinder, combining the obstacles on the path and the detour distance to obtain the actual carrying path length. The leakage exposure time evaluation is based on the residence time of the gas cylinder in different risk areas, and the risk degree of each risk area on the path is multiplied by the residence time to obtain the total leakage risk cost. Collision detection is achieved by analyzing the overlap between the moving trajectory of the gas cylinder and the positions of other gas cylinders, and calculating the probability of collision and the potential equipment damage risk. The multi-dimensional cost matrix combines the carrying cost, safety cost and equipment cost as three independent target dimensions.

[0032] The front set maintenance mechanism performs Pareto optimal solution screening on the multi-objective path cost matrix. The dominance relationship judgment compares the performance of different paths in three cost dimensions. When path A is not worse than path B in all dimensions and at least one dimension is better than path B, path A dominates path B. Hierarchical construction divides all non-dominated solutions into the first front set, and the solutions dominated by the solutions in the first front set form the second front set, and so on to form a hierarchical structure. Safety filtering removes paths that do not meet safety standards from the front set according to the safety concentration threshold of sulfur hexafluoride and the operating safety distance requirement. The scheduling priority weight gives different types of scheduling tasks corresponding importance weights based on actual operation requirements, and emergency scheduling tasks obtain higher priority weights. The comprehensive evaluation score is obtained by multiplying the performance of the path in each target dimension by the corresponding weight and summing it up. The path with the highest score is selected as the best scheduling path.

[0033] The state machine model is used to track the life cycle state of the gas cylinder. The state nodes include six main states: warehouse entry, warehouse, warehouse exit, use, maintenance and scrap. Each state has a clear definition and trigger condition. The state transition trigger monitors key parameters such as gas cylinder position change, pressure anomaly, temperature fluctuation, etc. When the monitored value exceeds the preset threshold, the state transition is automatically triggered. The state transition history records the timestamp, change reason, operator and related parameter value of each state change. The safety event tracking associates and analyzes the state transition record with the sulfur hexafluoride concentration monitoring data to identify potential leakage events and abnormal operation behaviors.

[0034] In a specific embodiment, the process of step S101 can specifically include the following steps:

[0035] Based on the sulfur hexafluoride concentration sensor, the concentration data is collected and processed in a grid arrangement in the storage area to obtain sulfur hexafluoride concentration raw data containing time stamp and spatial coordinates;

[0036] The raw data of sulfur hexafluoride concentration is processed according to the time sequence to obtain a sulfur hexafluoride diffusion parameter matrix containing diffusion rate and diffusion direction;

[0037] The pressure change data collected by the cylinder pressure monitoring device is processed by time series analysis to obtain pressure decay characteristic parameters containing pressure drop slope and pressure stability index;

[0038] According to the sulfur hexafluoride diffusion parameter matrix and the pressure decay characteristic parameters, risk level assessment processing is performed to obtain a leakage risk assessment result containing high-risk area coordinates and risk propagation path;

[0039] The leakage risk assessment result is associated and mapped with the storage area environmental parameters to obtain an environmental risk data set containing diffusion coefficient and pressure decay parameters.

[0040] Specifically, the grid arrangement refers to deploying sulfur hexafluoride concentration sensors in a regular grid pattern within the storage area, forming a uniformly distributed monitoring network. The sensors are arranged at a predetermined interval, and each sensor corresponds to a fixed grid node coordinate. The concentration value collected by the sensor is bound to its physical location coordinate to form a data record. The sulfur hexafluoride concentration raw data contains three core elements: the concentration value represents the detected sulfur hexafluoride gas concentration, the timestamp records the specific time of data collection, and the spatial coordinate identifies the three-dimensional position of the sensor in the storage area. Data collection and processing obtains real-time concentration readings by regularly scanning all sensors, and combines each scanning result with the corresponding time and location information to generate a structured raw data set. Diffusion coefficient calculation processing analyzes the concentration data trend at adjacent time points by comparing the concentration difference of the same sensor at consecutive time points to calculate the diffusion rate. The diffusion direction is determined by analyzing the concentration gradient between adjacent sensors. When a sensor detects an increase in concentration, the concentration changes of its surrounding sensors are compared to determine the main direction of gas diffusion. The sulfur hexafluoride diffusion parameter matrix takes diffusion rate and diffusion direction as matrix elements, each grid node corresponds to a position in the matrix, and the matrix element value reflects the diffusion characteristics of that position. Time series analysis identifies regular changes and abnormal fluctuations in the diffusion process by establishing a correspondence between time and concentration changes.

[0041] The pressure change data is obtained by continuously monitoring the pressure sensor installed on the gas cylinder, which records the real-time numerical change of the internal pressure of the gas cylinder. The time sequence analysis process arranges the pressure data in chronological order, and calculates the pressure change rate by calculating the pressure difference between adjacent time points. The pressure drop slope reflects the speed of the pressure decrease in the gas cylinder over time, which is calculated by dividing the pressure difference by the time interval. The pressure stability index evaluates the smoothness of the pressure change, which is determined by analyzing the fluctuation range of the pressure change rate. The smaller the fluctuation range, the more stable the pressure, and the larger the fluctuation range, the less stable the pressure. The pressure decay characteristic parameter takes the pressure drop slope and the pressure stability index as the key parameters to describe the pressure state of the gas cylinder. The risk level evaluation process takes the sulfur hexafluoride diffusion parameter matrix and the pressure decay characteristic parameter as input data for comprehensive analysis. The evaluation process first determines the severity of the gas leak according to the diffusion rate, and marks the area with high diffusion rate as a high-risk area. Then, combined with the diffusion direction information, the gas propagation path is predicted to determine the scope of the affected area. The pressure decay characteristic parameter is used to verify the judgment of the leakage degree, and the gas cylinder with large pressure drop slope and poor pressure stability is considered to have a risk of leakage. The high-risk area coordinates are generated by extracting the grid node coordinates where the diffusion rate exceeds the preset threshold, and the risk propagation path is drawn according to the distribution of the diffusion direction and the diffusion rate. The leakage risk evaluation result includes the specific location of all high-risk areas and the possible propagation trajectory of the gas.

[0042] The correlation mapping process integrates the leakage risk evaluation result with the environmental parameters of the storage area. The storage area environmental parameters include temperature distribution, humidity distribution, ventilation conditions and air flow direction, etc. environmental factors that affect the diffusion of sulfur hexafluoride. The mapping process matches the coordinate information in the risk evaluation result with the spatial distribution data of the environmental parameters to establish the correspondence between the risk area and the environmental conditions. The environmental risk data set combines the diffusion coefficient, the pressure decay parameter and the environmental parameters of the corresponding position to form a comprehensive risk description data.

[0043] In a specific embodiment, the process of performing step S102 can specifically include the following steps:

[0044] The intelligent tag on the sulfur hexafluoride cylinder is identified by the intelligent tag reader, and the cylinder identity data containing the unique identification and basic attribute information of the cylinder is obtained;

[0045] The spatial attitude of the sulfur hexafluoride cylinder is detected by the inclination angle sensor, and the cylinder inclination state parameter containing the pitch angle and the roll angle is obtained;

[0046] The cylinder identity data and the real-time position coordinates are calculated by spatial positioning, and the cylinder position state information containing three-dimensional coordinates and movement trajectory is obtained;

[0047] The internal pressure data collected by the cylinder pressure sensor is processed by purity correlation analysis to obtain the cylinder content state parameters including sulfur hexafluoride purity level and gas density.

[0048] The comprehensive state fusion processing is performed according to the cylinder tilt state parameters, cylinder position state information and cylinder content state parameters to obtain the cylinder dynamic state information set.

[0049] Specifically, the intelligent tag reader communicates with the RFID tag on the sulfur hexafluoride cylinder through radio frequency signals, and reads the digital information stored in the tag chip. The identification code reading process refers to the reader transmitting a specific frequency radio frequency signal to activate the tag, and the tag transmits the internal stored data back to the reader through backscatter mode after receiving the signal. The cylinder unique identification is a unique code assigned to each cylinder, usually composed of manufacturer code, production batch number and serial number, ensuring that each cylinder has a unique identity. The basic attribute information includes the physical characteristics and technical parameters of the cylinder, covering the cylinder capacity, maximum working pressure, production date, inspection period, material grade and other key information. The cylinder identity data combines the unique identification and basic attribute information to form a structured data record, establishing a digital archive of the cylinder.

[0050] The tilt angle sensor detects the spatial attitude change of the sulfur hexafluoride cylinder based on the gravity sensing principle. The accelerometer inside the sensor measures the components of gravity in different axes to calculate the tilt angle. The angle detection process calculates the spatial orientation of the cylinder by analyzing the angle between the gravity vector and the axes of the sensor coordinate system. The pitch angle describes the rotation angle of the cylinder around the horizontal axis, reflecting the degree of forward and backward tilt of the cylinder, with positive values indicating forward tilt and negative values indicating backward tilt. The roll angle describes the rotation angle of the cylinder around the longitudinal axis, reflecting the degree of left and right tilt of the cylinder, with positive values indicating right tilt and negative values indicating left tilt. The cylinder tilt state parameters record the values of pitch angle and roll angle to form a data set describing the spatial attitude of the cylinder.

[0051] The spatial positioning calculation process associates and matches the cylinder identification in the cylinder identity data with the position information of the reader to determine the specific position of the cylinder in the storage area. The real-time position coordinates are calculated by the triangulation algorithm, which uses the signal strength difference received by multiple readers to calculate the spatial coordinates of the cylinder. The three-dimensional coordinates include the position values of X-axis, Y-axis and Z-axis, accurately describing the position of the cylinder in three-dimensional space. The movement trajectory is formed by recording the position coordinate changes of the cylinder at different time points, and the coordinates at different time points are connected to form the motion path of the cylinder. The cylinder position state information integrates three-dimensional coordinates and movement trajectory data to comprehensively describe the spatial state and motion history of the cylinder.

[0052] The purity correlation analysis process establishes the correspondence between the internal pressure of the gas cylinder and the purity of sulfur hexafluoride, and performs data conversion based on the gas state equation and the purity reference table. The internal pressure data is collected by a pressure sensor installed at the valve of the gas cylinder, the sensor converts the pressure value into an electrical signal and transmits it to the data processing unit. The sulfur hexafluoride purity level is divided according to industry standards, usually divided into industrial grade, electrical grade and high purity grade, different purity levels correspond to different pressure ranges. The gas density is calculated by the ideal gas state equation, the pressure, temperature and molar mass are substituted into the equation to solve the density value. The gas cylinder content state parameter takes the purity level and gas density as the key indicators to describe the quality state of the gas cylinder content.

[0053] The comprehensive state fusion process integrates the gas cylinder tilt state parameter, gas cylinder position state information and gas cylinder content state parameter to form a comprehensive data set describing the current state of the gas cylinder. The fusion process uses data processing methods such as weighted average or priority sorting to combine different types of state parameters according to importance weights. The gas cylinder dynamic state information set contains the identity information, spatial position, attitude state, movement trajectory, content state and other multi-dimensional information of the gas cylinder, forming a digital description of the state of the gas cylinder.

[0054] In a specific embodiment, the process of performing step S103 can specifically include the following steps:

[0055] Based on the diffusion coefficient and pressure decay parameter in the environmental risk data set, the risk level division process is performed to obtain a storage area risk distribution map containing the boundary of the high-risk area and the range of the safe channel;

[0056] The distance between storage nodes is calculated based on the gas cylinder position state information in the gas cylinder dynamic state information set to obtain the transport distance cost data containing the gas cylinder transport path length and operation time consumption;

[0057] According to the storage area risk distribution map, the leakage exposure time evaluation process is performed on the gas cylinder scheduling path to obtain the leakage risk cost data containing the sulfur hexafluoride contact time and the personnel safety risk level;

[0058] The overlap area analysis process is performed on the collision detection range in the gas cylinder movement process to obtain the collision risk cost data containing the collision probability between gas cylinders and the equipment damage risk;

[0059] The transport distance cost data, the leakage risk cost data and the collision risk cost data are combined to form a multi-dimensional cost matrix.

[0060] Specifically, the risk level division process establishes risk evaluation criteria by analyzing the diffusion coefficient and pressure decay parameter in the environmental risk dataset, and divides the storage area into different levels according to the degree of danger. The diffusion coefficient reflects the propagation speed of sulfur hexafluoride gas in space, and the larger the value, the faster the gas diffusion and the higher the risk level. The pressure decay parameter describes the rate of decline of the internal pressure of the gas cylinder, and a fast decay rate indicates a risk of gas cylinder leakage. The division process compares the diffusion coefficient and pressure decay parameter with the preset threshold value, and when the diffusion coefficient exceeds the high-risk threshold or the pressure decay parameter exceeds the dangerous decay rate, the corresponding area is marked as a high-risk area. The high-risk area boundary is formed by connecting the peripheral coordinates of all high-risk grid nodes to form a closed area, and the safe passage range refers to the passage path connecting different safe areas with lower risk levels. The storage area risk distribution map distinguishes areas of different risk levels with different colors or markers, forming a visual risk distribution graph.

[0061] The distance calculation process calculates the spatial distance between storage nodes based on the gas cylinder position state information in the gas cylinder dynamic state information set. The storage node refers to the coordinate point of each gas cylinder storage position in the storage area, and the distance between nodes is obtained by calculating the Euclidean distance between two coordinate points. The gas cylinder handling path length refers to the actual moving distance from the starting node to the target node, considering the path adjustment around obstacles and away from high-risk areas. The operation time consumption is calculated based on the handling distance and the standard handling speed, and the handling speed is determined according to the weight of the gas cylinder, the proficiency of the operator, and the complexity of the path. The handling distance cost data takes path length and time consumption as key indicators to measure handling cost, and the longer the distance and the more time, the higher the handling cost.

[0062] The leakage exposure time evaluation process analyzes the time length of the gas cylinder scheduling path passing through different risk areas according to the storage area risk distribution map. The evaluation process divides the scheduling path into multiple path segments, each corresponding to a specific risk level area. The sulfur hexafluoride contact time is calculated by accumulating the residence time of the gas cylinder in each risk area, and the residence time is determined by dividing the path segment length by the moving speed. The personnel safety risk level is assessed based on the combination of contact time and area risk level, and the longer the contact time and the higher the area risk level, the higher the personnel safety risk level. The leakage risk cost data quantifies the contact time and safety risk level into numerical form as an important basis for path selection.

[0063] The collision detection range refers to a spatial area within a certain distance around the gas cylinder during movement, and the range size is determined according to the size of the gas cylinder and the safety distance requirement. The overlap area analysis processing judges the collision risk by comparing whether the collision detection ranges of different gas cylinders overlap in space. When the detection ranges of two or more gas cylinders overlap, it indicates that there is a collision risk, and the larger the overlap area, the higher the collision probability. The collision probability between gas cylinders is calculated by the ratio of the overlap area to the total area of the detection range, and the larger the ratio, the higher the collision probability. The equipment damage risk is evaluated based on the collision probability and the value of the gas cylinder, and the collision risk of a high-value gas cylinder corresponds to a higher equipment damage risk. The collision risk cost data converts the collision probability and the equipment damage risk into quantifiable cost values.

[0064] The multi-dimensional cost matrix combination processing integrates the carrying distance cost data, the leakage risk cost data and the collision risk cost data into a unified data structure. The combination processing first normalizes the three types of cost data, converting data of different dimensions into the same numerical range. Then, the normalized cost data is correspondingly combined according to the path number, forming a three-dimensional cost vector for each path. The multi-objective path cost matrix takes the path number as the row index and the carrying cost, the safety cost and the equipment cost as the column index, and the matrix elements represent the cost values of the corresponding path in each target dimension.

[0065] In a specific embodiment, the process of performing step S104 can specifically include the following steps:

[0066] Based on the carrying cost, the safety cost and the equipment cost in the multi-objective path cost matrix, perform the dominance relationship judgment processing to obtain Pareto dominance relationship data containing non-dominated solution identification and dominance level information;

[0067] Perform the front set hierarchical construction processing on the path solution set through the Pareto dominance relationship data to obtain a hierarchical front set structure containing a first front set and a secondary front set;

[0068] Perform the safety filtering processing on the hierarchical front set structure according to the sulfur hexafluoride safety threshold constraint to obtain a safety front set containing solutions that meet the safety distance requirement and the leakage risk limit;

[0069] Perform the solution set compression screening processing on the safety front set according to the scheduling priority weight to obtain a compressed front solution set containing high-priority paths and alternative paths;

[0070] Perform the sorting and selection processing on the path solutions in the compressed front solution set according to the comprehensive evaluation score to obtain an optimal scheduling path set.

[0071] Specifically, the dominance relationship judgment process determines the superior-inferior relationship between paths by comparing the performance of different paths in the multi-objective path cost matrix in the three dimensions of transportation cost, safety cost and equipment cost. Dominance relationship refers to when path A is not inferior to path B in all target dimensions, and strictly superior to path B in at least one dimension, path A dominates path B. The judgment process compares path pairs one by one. When the transportation cost of path A is less than or equal to the transportation cost of path B, the safety cost is less than or equal to the safety cost of path B, the equipment cost is less than or equal to the equipment cost of path B, and at least one cost dimension is strictly less than path B, path A dominates path B. Non-dominated solution identification records the path number that is not dominated by any other path, and the dominance level information indicates how many other paths each path is dominated by. The Pareto dominance relationship data organizes the dominance status of all paths into structured data, including the dominance relationship and the number of times each path is dominated. The front set hierarchical construction process groups the path solution set according to the dominance level based on the Pareto dominance relationship data. The hierarchical construction starts from the path with zero dominance times, and all solutions not dominated by any path are classified into the first front set, which represents the Pareto optimal solution under the current conditions. After removing the paths in the first front set, the dominance relationship of the remaining paths is recalculated, and the newly generated path with zero dominance times is classified into the second front set. The secondary front set contains the solution set of the second front set, the third front set and subsequent levels. The solution of each level is the Pareto optimal solution after removing the solution of the previous level. The hierarchical front set structure arranges the front sets of different levels according to the degree of superiority, and the first front set contains the global optimal solution, and the secondary front set contains the suboptimal solution.

[0072] The safety filtering process performs safety checks on paths in the hierarchical frontier set structure according to sulfur hexafluoride safety threshold constraints. The sulfur hexafluoride safety threshold constraints include maximum allowable concentration exposure time, minimum safe operating distance, maximum leakage risk level, and other safety standards. The filtering process checks whether each path meets the safety distance requirement, i.e., the minimum distance between the path and the high-risk area cannot be less than the preset safety distance threshold. The leakage risk limit requires that the cumulative exposure time of the path passing through the risk area cannot exceed the safety time limit, and the risk level score of the path cannot exceed the acceptable risk threshold. The safety frontier set only contains paths that pass all safety checks, and paths that are filtered out are not adopted even if they perform well in the cost dimension. The solution set compression screening process further screens the safety frontier set according to scheduling priority weights to reduce the number of candidate paths. The scheduling priority weights are determined according to the urgency, importance, and resource limitation of the sulfur hexafluoride cylinder scheduling task. Emergency scheduling tasks are given higher weight values, and ordinary maintenance scheduling tasks are given lower weight values. The screening process calculates the weighted evaluation score of each path, and sums the performance of the path in each target dimension and the corresponding priority weight. High-priority paths refer to paths with weighted evaluation scores exceeding a high-priority threshold, and alternative paths refer to paths with scores between a medium threshold and the high-priority threshold. The compressed frontier solution set retains a preset number of high-priority paths and alternative paths, and the remaining paths are discarded.

[0073] The sorting selection process sorts the paths in the compressed frontier solution set according to the comprehensive evaluation score. The comprehensive evaluation score considers the cost performance, safety performance, and scheduling applicability of the path, and calculates the total score of each path through a weighted comprehensive evaluation method. The sorting process arranges the paths in descending order of comprehensive evaluation score, with the path with the highest score being selected as the best scheduling path, and the path with the second highest score being selected as the backup scheme. The optimal scheduling path set includes the optimal path and several alternative paths selected through layer-by-layer screening and sorting.

[0074] In a specific embodiment, the process of performing the step of hierarchical frontier set construction processing on the path solution set by the Pareto dominance relationship data can specifically include the following steps:

[0075] Group and sort the non-dominated solution identifiers in the Pareto dominance relationship data according to the dominance level information to obtain dominance level grouping data containing zero dominance times solutions and multiple dominance times solutions;

[0076] Perform first frontier set initialization construction processing on the zero dominance times solutions in the dominance level grouping data to obtain a first frontier set containing completely non-dominated path solutions and corresponding generation values;

[0077] The multiple domination times solution in the domination hierarchical grouping data is processed by a secondary front set recursive construction process in ascending order of the domination hierarchy to obtain a secondary front set containing a second layer front solution set and a third layer front solution set;

[0078] The first front set and the secondary front set are processed by a hierarchical structure organization process based on the hierarchical relationship between the front sets to obtain front set hierarchical association data containing hierarchical indexes and set mapping relationships;

[0079] The front set hierarchical association data is processed by a hierarchical front set structure encapsulation process in descending order of the hierarchical order to obtain a hierarchical front set structure.

[0080] Specifically, the grouping sorting process classifies and arranges each path solution in the Pareto domination relationship data based on the dominated times. The non-dominated solution identifier records the numbers of all paths and the corresponding dominated times, and the domination hierarchical information represents the position of each path in the domination hierarchy structure. The grouping sorting groups the paths with the same dominated times into a group, the zero domination times solution refers to the path set that is not dominated by any other path, and the multiple domination times solution refers to the path set that is dominated by one or more paths. The sorting process arranges each group in order of the dominated times from small to large, forming a hierarchical grouping structure. The domination hierarchical grouping data systematically classifies all paths according to the domination relationship hierarchy, establishing a hierarchical relationship map of path solutions. The first front set initialization construction process is specially designed to process the path solutions with zero dominated times in the domination hierarchical grouping data. The zero domination times solution represents the solution that is not completely dominated by any path in all target dimensions among all candidate paths at present, and these solutions constitute the first layer of the Pareto front. The initialization construction extracts the path numbers of these zero domination times, and obtains the corresponding three-dimensional generation value of each path, including the transportation cost, the safety cost and the equipment cost. The completely non-dominated path solution refers to the path that is in the Pareto optimal state in multi-objective optimization, and any improvement on these paths will inevitably lead to a decline in the performance of at least one target dimension. The first front set combines the completely non-dominated path solution and its generation value to form a first layer solution set, representing the optimal solution combination under the current conditions.

[0081] The recursive construction of the secondary frontier set constructs the subsequent frontier set layer by layer in the order of increasing dominance level. The recursive construction starts from the first frontier set, removes all paths of the current level in each recursion, and then recalculates the dominance relationship of the remaining paths. In the multiple dominance number solution, the solution originally dominated by the paths in the first frontier set will have its dominance number reduced accordingly after the removal of the first frontier set. The dominance level increasing order refers to processing in the order of the original dominance number from small to large, giving priority to paths with smaller dominance numbers. The second-level frontier solution set contains paths with zero dominance numbers generated after the removal of the first frontier set, and the third-level frontier solution set contains paths with zero dominance numbers generated after the removal of the first and second frontier sets. The secondary frontier set integrates all non-first-level frontier sets to form a hierarchical Pareto frontier structure.

[0082] The hierarchical organization processing establishes the logical relationship and data structure between the first frontier set and the secondary frontier set. The hierarchical relationship between the frontier sets reflects the order of superiority and inferiority of different frontier sets in terms of Pareto optimality, with the first frontier set superior to the second frontier set, the second frontier set superior to the third frontier set, and so on. The organization processing assigns a level index to each frontier set, with the level index of the first frontier set being 1, the level index of the second frontier set being 2, and so on. The set mapping relationship establishes the correspondence between the level index and the content of the corresponding frontier set, recording the specific path number and cost information contained in each level. The frontier set hierarchical association data integrates the level index, the set mapping relationship, and the frontier set content into a unified data structure, establishing a complete hierarchical frontier set system.

[0083] The hierarchical frontier set structure packaging processing finally organizes and packages the frontier set hierarchical association data in the order of superiority and inferiority. The order of superiority and inferiority refers to the order of arrangement from the most optimal to the least optimal in terms of Pareto optimality, with a smaller level index indicating a higher priority. The packaging processing arranges the frontier sets of each level in the order of the index to form an ordered hierarchical structure. The hierarchical frontier set structure contains the frontier sets of all levels and their mutual relationships, forming a complete hierarchical Pareto frontier system, with each level representing a different degree of Pareto optimal solution set.

[0084] In a specific embodiment, the process of performing step S105 can specifically include the following steps:

[0085] According to the best scheduling path and the suboptimal scheduling path in the optimal scheduling path set, perform a cylinder state machine initialization setting processing to obtain a cylinder life cycle state node containing an entry state, an in-storage state, an exit state, and a maintenance state;

[0086] The state transition trigger condition data includes a position change trigger and a pressure abnormality trigger.

[0087] The state transition trigger condition data includes a position change trigger and a pressure abnormality trigger.

[0088] The state transition trigger condition data includes a position change trigger and a pressure abnormality trigger.

[0089] The state transition trigger condition data includes a position change trigger and a pressure abnormality trigger.

[0090] Specifically, the cylinder state machine initialization setting processing establishes the state machine framework of the cylinder life cycle management based on the best scheduling path and the suboptimal scheduling path selected from the optimal scheduling path set. The state machine is a data processing model that describes the management state of the cylinder in different stages by defining discrete state nodes and state transition rules. The initialization setting processing defines four core state nodes according to the actual business process of sulfur hexafluoride cylinder management: the warehouse-in state represents the initial state of the cylinder entering the storage area, the warehouse-in state represents the stable state of the cylinder normally stored in the designated position, the warehouse-out state represents the use state of the cylinder taken out for device maintenance or operation, and the maintenance state represents the special state of the cylinder needing inspection, cleaning or repair. The cylinder life cycle state node records the attribute information of each state through data structure, including state code, state name, allowed transition target state and state duration limit, etc. The state transition trigger condition monitoring processing establishes a real-time monitoring mechanism based on the cylinder life cycle state node, continuously detects the key events and parameter changes that cause state changes. The monitoring processing identifies the trigger conditions of state transition by analyzing the position information, pressure data, operation records and other multi-dimensional information of the cylinder. The position change trigger monitors the spatial position coordinate change of the cylinder, triggers the transition from the warehouse-in state to the warehouse-out state when the cylinder moves from the storage area to the operation area, and triggers the transition from the warehouse-out state to the warehouse-in state when the cylinder returns from the operation area to the storage area. The pressure abnormality trigger monitors the abnormal change of the internal pressure of the cylinder, triggers the transition from the current state to the maintenance state when the pressure drops below the preset threshold, and triggers the transition from the maintenance state to the warehouse-in state when the pressure returns to the normal range. The state transition condition data integrates the monitoring results, trigger thresholds and response rules of various triggers into structured data, establishing the basis for state transition judgment.

[0091] The real-time tracking record processing continuously monitors and records the transition process of the gas cylinder between different state nodes through the state transition condition data. The tracking record processing automatically generates a transition record each time a state transition occurs, and the record includes the pre-transition state, the post-transition state, the specific time when the transition occurs, and the reason for the transition. The state transition timestamp accurately records the occurrence time of each state change in the standard time format, and the transition reason identifier records the specific reason for triggering the transition, such as location change, pressure anomaly, manual operation, periodic inspection, etc. The gas cylinder state transition history record arranges all transition events in chronological order to form time series data of the state change of the gas cylinder, and each record contains the transition timestamp, the transition reason identifier, the pre-transition and post-transition state, and related parameter information.

[0092] The correlation analysis processing fuses the gas cylinder state transition history record with the sulfur hexafluoride safety monitoring data to identify the correlation between the state transition and the safety event. The correlation analysis establishes the correspondence between the data through time matching and space matching. The time matching correlates the state transition record and the safety monitoring data within the same time period, and the space matching correlates the state transition record and the safety monitoring data within the same region. The sulfur hexafluoride safety monitoring data includes safety-related information such as concentration exceeding event, pressure anomaly event, temperature anomaly event, etc. The leakage event record identifies the causal relationship between the gas cylinder state transition and the sulfur hexafluoride concentration anomaly through correlation analysis, and the abnormal operation log records the abnormal operation behavior related to the safety event. The gas cylinder safety event tracking data combines the state transition information and the safety monitoring information to form a comprehensive data set containing safety risk assessment and event traceability capability.

[0093] The whole life cycle data integration processing systematically organizes and summarizes the gas cylinder safety event tracking data in chronological order. The integration processing sorts all state transition records, safety event records, and operation history records of the gas cylinder from warehousing to scrapping in chronological order to establish a complete life history file of the gas cylinder. The chronological integration ensures that all events are arranged in chronological order, facilitating the tracing of the historical state and event development context of the gas cylinder. The gas cylinder whole life cycle tracking data includes the identity information, state change history, safety event record, operation and maintenance record, performance degradation trend, etc. of the gas cylinder, forming a digital archive of gas cylinder management.

[0094] The above describes the intelligent sorting, storage, and tracking control method for sulfur hexafluoride gas cylinders in the embodiments of the present application. The intelligent sorting, storage, and tracking control system for sulfur hexafluoride gas cylinders in the embodiments of the present application is described below. Please refer to Figure 2 An embodiment of the intelligent sorting, storage, and tracking control system for sulfur hexafluoride gas cylinders in the embodiments of the present application includes:

[0095] An evaluation module is configured to perform a leakage risk evaluation process on the storage area by the sulfur hexafluoride concentration sensor and the cylinder pressure monitoring device, and obtain an environmental risk data set including a diffusion coefficient and a pressure decay parameter;

[0096] A perception module is configured to perform a multi-dimensional state perception process on the sulfur hexafluoride cylinder according to the intelligent tag and the tilt angle sensor, and obtain a cylinder dynamic state information set;

[0097] An optimization module is configured to perform a path optimization process on the environmental risk data set and the cylinder dynamic state information set by a multi-objective search algorithm, and obtain a multi-objective path cost matrix;

[0098] A screening module is configured to perform a Pareto optimal solution compression screening process on the multi-objective path cost matrix by a front set maintenance mechanism, and obtain an optimal scheduling path set;

[0099] A monitoring module is configured to perform monitoring on the optimal scheduling path set by a cylinder life cycle tracking algorithm based on a state machine model, and obtain cylinder full life cycle tracking data.

[0100] The above Figure 2 The intelligent arrangement storage and tracking management system for the sulfur hexafluoride cylinder in the embodiment is described in detail from the perspective of the modular functional entity, and the intelligent arrangement storage and tracking management device for the sulfur hexafluoride cylinder in the embodiment is described in detail from the perspective of hardware processing.

[0101] Referring to Figure 3 In the embodiment, an intelligent arrangement storage and tracking management device for the sulfur hexafluoride cylinder is also provided, which can be a server, and the internal structure thereof can be as shown in Figure 3 The intelligent arrangement storage and tracking management device for the sulfur hexafluoride cylinder includes a processor, a memory, a display screen, an input device, a network interface and a database connected through a system bus. The processor of the computer is configured to provide computing and control capabilities. The memory of the intelligent arrangement storage and tracking management device for the sulfur hexafluoride cylinder includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium. The database of the intelligent arrangement storage and tracking management device for the sulfur hexafluoride cylinder is configured to store the corresponding data in the embodiment. The network interface of the intelligent arrangement storage and tracking management device for the sulfur hexafluoride cylinder is configured to communicate with an external terminal through a network connection. The computer program is executed by the processor to implement the above method.

[0102] Those skilled in the art can understand Figure 3The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the intelligent arrangement and storage and tracking control equipment for the sulfur hexafluoride cylinder to which the scheme of the present application is applied.

[0103] The present application also provides a computer readable storage medium, which can be a non-volatile computer readable storage medium, and can also be a volatile computer readable storage medium, and the computer readable storage medium stores instructions, and when the instructions run on a computer, the computer executes the steps of the intelligent arrangement and storage and tracking control method for the sulfur hexafluoride cylinder.

[0104] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described system, system and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be described here.

[0105] The integrated unit, if realized in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical scheme of the present application or the part that contributes to the prior art or the whole or part of the technical scheme can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a smart arrangement and storage and tracking control device for a sulfur hexafluoride cylinder (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program code storage media.

[0106] The above embodiments are only used to illustrate the technical scheme of the present application, but not to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical scheme recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical scheme deviate from the spirit and scope of the technical scheme of the embodiments of the present application.

Claims

1. A method for intelligent arrangement, storage, tracking and control of sulfur hexafluoride cylinders, characterized in that, The method includes: The storage area was assessed for leakage risk using a sulfur hexafluoride concentration sensor and a gas cylinder pressure monitoring device, resulting in an environmental risk dataset that includes diffusion coefficient and pressure decay parameters. Based on the smart tag and tilt angle sensor, multi-dimensional state perception processing is performed on the sulfur hexafluoride cylinder to obtain a set of dynamic state information of the cylinder. The environmental risk dataset and the gas cylinder dynamic status information set are processed by a multi-objective search algorithm to optimize the path, resulting in a multi-objective path cost matrix. This includes: classifying risk levels based on the diffusion coefficient and pressure attenuation parameters in the environmental risk dataset to obtain a storage area risk distribution map containing high-risk area boundaries and safe passage ranges; calculating the distance between storage nodes using the gas cylinder location status information in the gas cylinder dynamic status information set to obtain transport distance cost data including gas cylinder transport path length and operation time consumption; assessing the leakage exposure time of the gas cylinder scheduling path based on the storage area risk distribution map to obtain leakage risk cost data including sulfur hexafluoride exposure time and personnel safety risk level; analyzing the overlapping area of ​​the collision detection range during gas cylinder movement to obtain collision risk cost data including gas cylinder collision probability and equipment damage risk; and combining the transport distance cost data, leakage risk cost data, and collision risk cost data into a multi-dimensional cost matrix to obtain the multi-objective path cost matrix. Based on the multi-objective path cost matrix, Pareto optimal decompression and filtering are performed through a front set maintenance mechanism to obtain the optimal scheduling path set. The optimal scheduling path set is monitored using a gas cylinder lifecycle tracking algorithm based on a state machine model to obtain gas cylinder full lifecycle tracking data.

2. The method for intelligent arrangement, storage, tracking and control of SF6 cylinders as claimed in claim 1, wherein, The process of assessing the leakage risk of the storage area using a sulfur hexafluoride concentration sensor and a gas cylinder pressure monitoring device yields an environmental risk dataset containing diffusion coefficients and pressure decay parameters, including: Based on the sulfur hexafluoride concentration sensor, concentration data is collected and processed in a grid-like arrangement within the storage area to obtain raw sulfur hexafluoride concentration data containing timestamps and spatial coordinates; The original sulfur hexafluoride concentration data were processed by diffusion coefficient calculation according to the time series to obtain a sulfur hexafluoride diffusion parameter matrix containing diffusion rate and diffusion direction; Time-series analysis was performed on the pressure change data collected by the gas cylinder pressure monitoring device to obtain pressure decay characteristic parameters including pressure drop slope and pressure stability index. Based on the sulfur hexafluoride diffusion parameter matrix and the pressure decay characteristic parameters, a risk level assessment is performed to obtain a leakage risk assessment result that includes the coordinates of high-risk areas and the risk propagation path. The leakage risk assessment results are correlated and mapped with the environmental parameters of the storage area to obtain the environmental risk dataset containing the diffusion coefficient and pressure decay parameters.

3. The method for intelligent arrangement, storage, tracking and management of SF6 cylinders as claimed in claim 1, wherein, The process of performing multi-dimensional state perception processing on the sulfur hexafluoride cylinder based on smart tags and tilt angle sensors yields a set of dynamic state information for the cylinder, including: The intelligent tag on the sulfur hexafluoride cylinder is identified by the intelligent tag reader, and the cylinder identity data containing the unique identification and basic attribute information of the cylinder is obtained; The spatial posture of the sulfur hexafluoride cylinder is detected by the tilt angle sensor, and the cylinder tilt state parameters containing the pitch angle and roll angle are obtained; The cylinder identity data and real-time position coordinates are calculated and processed to obtain the cylinder position state information containing three-dimensional coordinates and movement trajectory; The internal pressure data collected by the cylinder pressure sensor is analyzed and processed to obtain the cylinder content state parameters containing the sulfur hexafluoride purity grade and gas density; The cylinder dynamic state information set is obtained by comprehensively fusing the cylinder tilt state parameters, the cylinder position state information and the cylinder content state parameters.

4. The method for intelligent storage and tracking management of SF6 cylinders as claimed in claim 1, wherein, The optimal scheduling path set is obtained by performing Pareto optimal solution compression screening processing on the multi-objective path cost matrix through the front set maintenance mechanism, including: The domination relationship judgment processing is performed on the carrying cost, safety cost and equipment cost in the multi-objective path cost matrix to obtain the Pareto domination relationship data containing the non-dominated solution identification and domination level information; The front set hierarchical construction processing is performed on the path solution set through the Pareto domination relationship data to obtain the hierarchical front set structure containing the first front set and the secondary front set; The safety filtering processing is performed on the hierarchical front set structure according to the sulfur hexafluoride safety threshold constraint to obtain the safety front set containing the solutions meeting the safety distance requirement and the leakage risk limit; The solution set compression screening processing is performed on the safety front set according to the scheduling priority weight to obtain the compressed front solution set containing the high-priority path and the alternative path; The path solution in the compressed front solution set is sorted and selected according to the comprehensive evaluation score to obtain the optimal scheduling path set.

5. The method for intelligent arrangement, storage, tracking and control of SF6 cylinders as claimed in claim 4, wherein, The hierarchical front set structure containing the first front set and the secondary front set is obtained by performing front set hierarchical construction processing on the path solution set through the Pareto domination relationship data, including: The non-dominated solution identification in the Pareto domination relationship data is grouped and sorted according to the domination level information to obtain the domination level grouping data containing the zero domination times solution and the multiple domination times solution; The first front set initialization construction processing is performed on the zero domination times solution in the domination level grouping data to obtain the first front set containing the completely non-dominated path solution and the corresponding generation value; The secondary front set recursive construction processing is performed on the multiple domination times solution in the domination level grouping data according to the increasing order of domination level to obtain the secondary front set containing the second layer front solution set and the third layer front solution set; The hierarchical structure organization processing is performed on the first front set and the secondary front set based on the hierarchical relationship between the front sets to obtain the front set hierarchical association data containing the hierarchical index and the set mapping relationship; The hierarchical front set structure encapsulation processing is performed on the front set hierarchical association data according to the hierarchical order from good to bad to obtain the hierarchical front set structure.

6. The method for intelligent storage and tracking management of SF6 cylinders as claimed in claim 1, wherein, The optimal scheduling path set is monitored by a state machine model-based cylinder life cycle tracking algorithm to obtain cylinder full life cycle tracking data, including: According to the best scheduling path and the suboptimal scheduling path in the optimal scheduling path set, a cylinder state machine initialization setting process is performed to obtain cylinder life cycle state nodes including a warehouse entry state, a warehouse storage state, a warehouse exit state, and a maintenance state; Based on the cylinder life cycle state nodes, a state transition trigger condition monitoring process is performed on a cylinder scheduling execution process to obtain state transition condition data including a position change trigger and a pressure abnormality trigger; Through the state transition condition data, a real-time tracking record process is performed on the transition path of the cylinder between each state node to obtain cylinder state transition history records including a state transition timestamp and a transition reason identifier; The cylinder state transition history records are associated with sulfur hexafluoride safety monitoring data for analysis to obtain cylinder safety event tracking data including leakage event records and abnormal operation logs; The cylinder safety event tracking data is integrated according to time sequence for full life cycle data integration processing to obtain the cylinder full life cycle tracking data.

7. An intelligent arrangement, storage and tracking control system for sulfur hexafluoride cylinders, characterized by, The intelligent arrangement and storage and tracking management system for sulfur hexafluoride cylinders includes: An evaluation module for performing a leakage risk evaluation process on a storage area through a sulfur hexafluoride concentration sensor and a cylinder pressure monitoring device to obtain an environmental risk data set including a diffusion coefficient and a pressure decay parameter; A perception module for performing a multi-dimensional state perception process on the sulfur hexafluoride cylinder according to an intelligent tag and an inclination angle sensor to obtain a cylinder dynamic state information set; An optimization module for performing a path optimization process on the environmental risk data set and the cylinder dynamic state information set through a multi-objective search algorithm to obtain a multi-objective path cost matrix, including: performing a risk level division process based on the diffusion coefficient and the pressure decay parameter in the environmental risk data set to obtain a storage area risk distribution map including a high-risk area boundary and a safe passage range; performing a calculation process on the distance between storage nodes through the cylinder position state information in the cylinder dynamic state information set to obtain carrying distance cost data including a cylinder carrying path length and an operation time consumption; performing a leakage exposure time evaluation process on the cylinder scheduling path according to the storage area risk distribution map to obtain leakage risk cost data including a sulfur hexafluoride contact time and a personnel safety risk level; performing an overlap area analysis process on the collision detection range during cylinder movement to obtain collision risk cost data including a cylinder collision probability and an equipment damage risk; and performing a multi-dimensional cost matrix combination process on the carrying distance cost data, the leakage risk cost data, and the collision risk cost data to obtain the multi-objective path cost matrix; A screening module for performing a Pareto optimal solution compression screening process on the multi-objective path cost matrix through a front set maintenance mechanism to obtain an optimal scheduling path set; A monitoring module is configured to monitor the optimal scheduling path set by a state machine model-based cylinder life cycle tracking algorithm to obtain cylinder full life cycle tracking data.

8. An intelligent arrangement, storage and tracking control device for sulfur hexafluoride cylinders, characterized by, The application also provides a computer readable storage medium storing the computer program.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by the processor, causes the processor to perform the intelligent arrangement and storage and tracking control method for the sulfur hexafluoride cylinder as defined in any one of claims 1 to 6. The computer program, when executed by the processor, causes the processor to perform the intelligent arrangement and storage and tracking control method for the sulfur hexafluoride cylinder as defined in any one of claims 1 to 6.

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