Intelligent gas pipeline network valve well safety monitoring management system

Abstract

The present application belongs to the technical field of valve well safety monitoring and management, and specifically discloses a kind of wisdom gas pipe network valve well safety monitoring and management system, comprising: state monitoring module, abnormal analysis module, degradation analysis module, sequencing generation module, valve well screening module and route planning module;The present application collects and analyzes valve rod displacement data, real-time monitors the degradation of equipment performance, evaluates the valve rod performance degradation of valve well, effectively avoids the safety accidents caused by ignoring early signals of mechanical failure, simultaneously determines gas concentration anomaly by dynamically using different analysis indexes and threshold values according to the real-time opening angle of valve well cover, improves the accuracy of progressive failure warning, and further correlates real-time safety degradation degree with historical degradation degree time series data, generates maintenance demand degree by combining safety degradation degree change rate, accurately locates the valve well requiring maintenance, and reduces the probability of safety accidents.

Description

Technical Field

[0001] This invention belongs to the field of valve well safety monitoring and management technology, and relates to a smart gas pipeline valve well safety monitoring and management system. Background Technology

[0002] Gas pipeline valve wells are critical ancillary facilities in gas pipeline systems, typically located at branches, bends, and ends of gas pipelines. They are used for the installation, inspection, and maintenance of various gas valves, instruments, and auxiliary equipment. Gas leaks may occur within valve wells; in the event of a leak, gas accumulation could lead to explosions, fires, and other serious safety accidents, threatening the lives and property of those in the vicinity. Furthermore, the normal operation of the equipment within valve wells is crucial for the stable gas supply of the pipeline network. Monitoring and managing these wells allows for the timely detection of equipment malfunctions, ensuring the continuity and reliability of the gas supply. Therefore, safety monitoring and management of valve wells are necessary.

[0003] For example, Chinese invention patent CN118153962B discloses a method and Internet of Things (IoT) system for safety monitoring of pipeline valve wells based on smart gas, including: acquiring gas monitoring data of the valve well; acquiring external environmental data of the valve well, including environmental water storage data; determining anomaly assessment data of the valve well based on the gas monitoring data; determining risk assessment data of the valve well based on the external environmental data; determining target valve wells for maintenance and target scheduling strategies based on the anomaly assessment data and risk assessment data; and distributing the target scheduling strategy to the smart gas pipeline maintenance engineering object sub-platform of the pipeline valve well safety monitoring IoT system.

[0004] The existing technologies mentioned above have the following shortcomings: 1. They mainly rely on gas monitoring data and external environmental data, lack monitoring of equipment operating status, and cannot fully assess the performance degradation of equipment valve stems, thus leading to the omission of early warning signals of mechanical failures.

[0005] 2. Currently, fixed thresholds are used to judge gas leaks or environmental anomalies without dynamically adjusting the thresholds according to the equipment's operating status. This leads to an increased false alarm rate in valve wells, resulting in insufficient timeliness of early warning for progressive faults. Summary of the Invention

[0006] In view of this, in order to solve the problems mentioned in the background technology, a smart gas pipeline valve well safety monitoring and management system is proposed.

[0007] The objective of this invention can be achieved through the following technical solution: This invention provides a smart gas pipeline valve well safety monitoring and management system, including: a status monitoring module that timestamps the environmental data and valve stem displacement data of each valve well monitored in real time.

[0008] The anomaly analysis module performs anomaly analysis on the timestamped environmental data and valve stem displacement data with their preset thresholds to obtain the environmental safety degradation degree and valve stem displacement safety degradation degree of each valve well.

[0009] The degradation analysis module performs multi-dimensional fusion analysis based on the environmental safety degradation degree and valve stem displacement safety degradation degree of each valve well to obtain the real-time safety degradation degree of each valve well.

[0010] The sorting generation module performs correlation analysis between the real-time safety degradation degree of each valve well and the historical degradation degree time series data to generate the maintenance requirement degree of each valve well.

[0011] The valve well screening module uses a dynamic threshold algorithm to screen valve wells that require inspection, based on the maintenance needs of each valve well and the periodic inspection data of the gas pipeline network.

[0012] The route planning module generates the optimal inspection route based on the gas pipeline network topology and the valve wells to be inspected.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention collects and analyzes valve stem displacement data, monitors the degradation of equipment performance in real time, avoids the current lack of equipment operation status monitoring, evaluates the valve stem performance degradation of valve well, and effectively avoids safety accidents caused by ignoring early mechanical failure signals.

[0014] (2) This invention uses different analytical indicators and thresholds to dynamically determine the abnormal gas concentration based on the real-time opening angle of the valve well cover, thus avoiding the misjudgment problem caused by fixed thresholds and improving the accuracy of progressive fault warning.

[0015] (3) This invention associates real-time safety degradation degree with historical degradation degree time series data, combines the safety degradation degree change rate to generate maintenance demand degree, and dynamically filters valve wells that need to be inspected, accurately locates valve wells that need maintenance, avoids blind inspection, improves the timeliness of early warning of potential risks, and reduces the probability of safety accidents.

[0016] (4) This invention quantifies the real-time safety degradation degree by multi-dimensional fusion analysis of environmental safety degradation degree and valve stem displacement safety degradation degree, thereby achieving a comprehensive assessment of multi-dimensional risks and improving the accuracy of the assessment.

[0017] (5) This invention constructs a node connection diagram based on the gas pipeline network topology and generates the optimal inspection route with the shortest path distance through a path planning algorithm, thereby reducing inspection costs and ensuring full coverage of all valve wells that require inspection, thus improving emergency response efficiency. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram showing the connections of the various modules in the system of the present invention.

[0020] Figure 2 This is a schematic diagram showing the connection steps of the valve stem displacement safety degradation analysis of the present invention.

[0021] Figure 3 This is a schematic diagram showing the connection of the maintenance requirement generation steps in this invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Please see Figure 1 As shown, the present invention provides a smart gas pipeline valve well safety monitoring and management system, which includes: a status monitoring module, an anomaly analysis module, a degradation analysis module, a sorting generation module, a valve well screening module, and a route planning module.

[0024] In the above, the anomaly analysis module is connected to the status monitoring module and the degradation analysis module, respectively; the sorting generation module is connected to the degradation analysis module and the valve well screening module, respectively; and the valve well screening module is also connected to the route planning module.

[0025] The status monitoring module timestamps the environmental data and valve stem displacement data of each valve well that are monitored in real time.

[0026] It should be added that the environmental data includes: the gas concentration in each valve well, the water level in the well, and the real-time opening angle of the well cover. The gas concentration is monitored by an infrared gas sensor installed above the inside of the valve well, the water level in the well is monitored by a static pressure liquid level sensor installed at the bottom of the well, and the real-time opening angle of the well cover is monitored by an inclination sensor installed at the inner edge of the well cover.

[0027] It should be added that the valve stem displacement data includes: the stroke and response time of the valve stem in the valve well. The stroke of the valve stem is obtained by monitoring the displacement sensor installed on the valve stem. The response time of the valve stem is obtained by synchronously collecting the valve control command sending time and the valve stem arrival feedback time, and calculating the time difference between the two to obtain the actual response time.

[0028] The anomaly analysis module performs anomaly analysis on the timestamp-aligned environmental data and valve stem displacement data with their preset thresholds to obtain the environmental safety degradation degree and valve stem displacement safety degradation degree of each valve well.

[0029] For example, the environmental safety degradation analysis of each valve well includes: determining the anomalies of the gas concentration, water level, and real-time opening angle of the manhole cover of each valve well in the environmental data according to their preset thresholds, and obtaining the anomaly determination results of the real-time opening angle of the manhole cover, gas concentration, and water level of each valve well.

[0030] Furthermore, the abnormal determination of the real-time opening angle of the manhole cover of each valve well includes: taking the difference between the real-time opening angle of the manhole cover and the preset opening angle as the opening angle difference of the manhole cover of each valve well, and comparing it with the preset opening angle difference threshold.

[0031] If the difference in the opening angle of the valve well cover is less than or equal to the preset threshold for the difference in the opening angle of the valve well cover, then the real-time opening angle of the valve well cover is determined to be normal; otherwise, the real-time opening angle of the valve well cover is determined to be abnormal.

[0032] Furthermore, the abnormal gas concentration determination of each valve well includes: comparing the real-time opening angle of the manhole cover of each valve well with the preset minimum opening angle of the manhole cover to obtain the opening and closing status of the manhole cover of each valve well.

[0033] It should be added that the process of obtaining the real-time opening and closing status of the manhole covers of each valve well is as follows: if the real-time opening angle of the manhole cover of the valve well is less than or equal to the preset minimum opening angle of the manhole cover, then the manhole cover of the valve well is determined to be in the closed state; otherwise, the manhole cover of the valve well is determined to be in the open state, and thus the real-time opening angle of the manhole cover of each valve well is obtained.

[0034] When the valve well cover is in the open state, the gas concentration and time interval between the real-time monitoring time point and the previous monitoring time point are extracted from the environmental data, and then the concentration change amount and concentration change rate are calculated.

[0035] It should be added that the formula for calculating the concentration change is ΔC = CC′, where ΔC is the concentration change, C is the gas concentration at the real-time monitoring point, and C′ is the gas concentration at the previous monitoring point. A positive value indicates an increase in concentration, and a negative value indicates a decrease in concentration. The formula for calculating the rate of concentration change is... In the formula, v is the rate of concentration change, and Δt is the time interval, reflecting how fast the concentration changes per unit time.

[0036] The concentration change amount and concentration change rate are compared with the corresponding preset first threshold. If either exceeds the preset first threshold, the gas concentration is determined to be abnormal.

[0037] It should be added that the preset first threshold corresponding to the concentration change amount is the allowable concentration change amount threshold. This threshold is based on the reasonable concentration fluctuation range caused by natural ventilation when the manhole cover is open, such as an allowable concentration decrease of 15%-25% within 30 minutes after opening the cover. The preset first threshold corresponding to the concentration change rate is the allowable concentration change rate threshold, which reflects the upper limit of the concentration diffusion rate under normal ventilation conditions. Gas concentration anomaly determination: If the concentration change amount is greater than the concentration change threshold or the concentration change rate is greater than the allowable concentration change rate threshold, then the gas concentration change is determined to be abnormal.

[0038] When the valve well cover is closed, extract the gas concentration time series data within a preset time window from the environmental data, and calculate the concentration fluctuation variance and concentration trend slope.

[0039] It should be added that the preset time window refers to a specific time period set in advance on the time axis, that is, the time range within which the gas concentration time series data is extracted from the environmental data when the valve well cover is in the closed state.

[0040] It should be added that the time-series data of gas concentration C1, C2, ..., C within the preset time window should be extracted. m Calculate the concentration fluctuation variance: This reflects the stability of concentration in a closed environment; a larger variance indicates more abnormal fluctuations. In the formula, σ... 2 Let m be the variance of the concentration fluctuation, m be the number of times the gas concentration was monitored, and C be the value of the concentration fluctuation. i Let i be the gas concentration from the i-th gas monitoring. The average gas concentration is denoted as k. The trend slope is obtained by fitting the time-series concentration data through linear regression, resulting in the trend slope k of the time-concentration curve. A positive value indicates an upward trend, and a negative value indicates a downward trend.

[0041] The concentration fluctuation variance and concentration trend slope are compared with the corresponding preset second threshold. If either exceeds the preset second threshold, the gas concentration is determined to be abnormal.

[0042] It should be added that the preset second threshold corresponding to the concentration fluctuation variance is the allowable concentration fluctuation variance threshold. This allowable concentration fluctuation variance threshold represents the normal concentration fluctuation range under closed conditions, fitted based on historical data. Similarly, the preset second threshold corresponding to the concentration trend slope is the allowable concentration trend slope threshold, which strictly limits the rate of concentration change in a closed environment. Gas concentration anomaly determination: If the concentration fluctuation variance exceeds the allowable concentration fluctuation variance threshold or the concentration trend slope exceeds the allowable concentration trend slope threshold, the gas concentration is determined to be abnormal.

[0043] It should be added that the setting principle of the first and second preset thresholds is as follows: When the manhole cover is open, the ventilation conditions are improved after the manhole cover is opened, and the concentration is allowed to fluctuate more significantly. Therefore, the first preset threshold is more lenient and focuses on monitoring short-term abnormal changes, such as sudden rises or falls exceeding the standard. When the manhole cover is closed, a relatively closed space is formed, and the concentration should remain stable. Therefore, the second preset threshold is more stringent and identifies slow leakage accumulation or data anomalies by using long-term fluctuation variance and trend slope to avoid missing the gradual risks in the closed environment.

[0044] To address the differences in physical characteristics between open and closed manhole covers, different analytical indicators and threshold systems are adopted. This solves the problem that traditional single standards cannot take into account both ventilation and airtight scenarios. At the same time, the open state focuses on the real-time changes at adjacent time points, while the closed state analyzes the trend characteristics within a time window, forming a risk identification capability at multiple time scales.

[0045] This invention, through its embodiment, dynamically employs different analytical indicators and thresholds based on the real-time opening angle of the valve well cover to determine abnormal gas concentrations, thus avoiding misjudgments caused by fixed thresholds and improving the accuracy of progressive fault warnings.

[0046] Furthermore, the determination of abnormal water level in each valve well includes comparing the water level in each valve well with a preset water level threshold.

[0047] If the water level in the well is lower than the preset water level threshold, the water level in the well is considered normal; otherwise, the water level in the well is considered abnormal.

[0048] The abnormal judgment results of the real-time opening angle of the manhole cover, gas concentration, and water level in the well are normalized to obtain the degradation degree of the real-time opening angle of the manhole cover, gas concentration, and water level in the well.

[0049] The environmental safety degradation degree of each valve well is obtained by multi-dimensional fusion calculation of the real-time opening angle of the manhole cover, the gas concentration, and the degradation degree of the water level in the well.

[0050] It should be added that the calculation process for the environmental safety degradation degree of the valve well is as follows: the abnormal judgment results of the real-time opening angle of the manhole cover, the gas concentration, and the water level in the well are converted into a degradation degree index in the range of 0-1. The specific rules are as follows: the degradation degree of the real-time opening angle of the manhole cover is recorded as S1. If the real-time opening angle of the manhole cover is abnormal, then S1 = 1; if the real-time opening angle of the manhole cover is normal, then S1 = 0. The degradation degree of the gas concentration is S2. If the gas concentration is abnormal, then S2 = 1; if the gas concentration is normal, then S2 = 0. The degradation degree of the water level in the well is S3. If the water level in the well is abnormal, then S3 = 1; if the water level in the well is normal, then S3 = 0.

[0051] Based on the impact of each dimension on the environmental safety of the valve well, a pre-defined weight allocation rule is established, assuming the weights are: real-time opening angle of the well cover (Y1), gas concentration (Y2), and water level in the well (Y3). The environmental safety degradation degree D is calculated using a weighted summation method: D = Y1 × S1 + Y2 × S2 + Y3 × S3. A higher environmental safety degradation degree indicates a more severe degree of environmental safety degradation. Here, Y1 + Y2 + Y3 = 1, and Y2 > Y3 > Y1. For ease of analysis, Y1 can be specifically set to 0.2, Y2 to 0.5, and Y3 to 0.3.

[0052] It should be added that gas concentration is a high-risk and fatal factor. Excessive gas concentration may instantly cause serious accidents such as explosions and poisoning. It has the highest degree of harm and the risk evolves very quickly. Its weight should be significantly higher than other factors. Although excessive water level in the well is a gradual hidden danger, long-term accumulation will lead to serious consequences such as equipment damage and structural collapse. Therefore, its degree of harm is second. The risk of people falling due to abnormal opening angle of the manhole cover can be effectively controlled through timely protection. Its degree of harm and scope of impact are relatively low. Therefore, its degree of harm is relatively low. Thus, Y2>Y3>Y1 is set.

[0053] Please see Figure 2 As shown, exemplarily, the valve stem displacement safety degradation analysis of each valve well includes: Q1, taking the absolute value of the difference between the actual stroke and the preset stroke of the valve stem in each valve well as the stroke difference of the valve stem in each valve well as the valve stem displacement data.

[0054] Q2. The ratio of the stroke difference to the preset stroke is taken as the stroke deviation rate of the valve stem in each valve well.

[0055] Q3. Match and compare the stroke deviation rate of the valve stem in each valve well with the stroke deviation rate range corresponding to each stroke safety degradation degree to obtain the stroke safety degradation degree of the valve stem in each valve well.

[0056] Q4. Perform a delay rate analysis on the response time of the valve stem in each valve well and the preset valve stem response time in the valve stem displacement data to obtain the safe degradation degree of the response time of the valve stem in each valve well.

[0057] Furthermore, the safety degradation analysis of the valve stem response time in each valve well includes: Q4-1, using the difference between the response time and the preset valve stem response time as the response delay rate.

[0058] Q4-2. Compare the response latency rate with the preset response latency rate threshold.

[0059] Q4-3. If the response delay rate is less than or equal to the response delay rate threshold, the safety degradation degree of the valve stem response time in the valve well is 0.

[0060] Q4-4. If the response delay rate is greater than the response delay rate threshold, the comparison analysis result between the response delay rate and the response delay rate threshold shall be used as the safe degradation degree of the valve stem response time in the valve well, and then the safe degradation degree of the valve stem response time in each valve well shall be obtained.

[0061] It should be added that the formula for calculating the response time security degradation is as follows: In the formula, φ represents the response time safety degradation degree, and δ and δ′ represent the response delay rate and the response delay rate threshold, respectively.

[0062] Q5. The average of the stroke safety degradation degree and the response time safety degradation degree shall be used as the valve stem displacement safety degradation degree of each valve well.

[0063] This invention, through the collection and analysis of valve stem displacement data, monitors the degradation of equipment performance in real time, overcoming the current lack of equipment operation status monitoring, and assesses the performance degradation of valve stems in valve wells, effectively preventing safety accidents caused by ignoring early signs of mechanical failure.

[0064] The degradation analysis module performs multi-dimensional fusion analysis based on the environmental safety degradation degree and valve stem displacement safety degradation degree of each valve well to obtain the real-time safety degradation degree of each valve well.

[0065] It should be added that the formula for calculating real-time security degradation is: In the formula For real-time safety degradation, η1 and η2 are the environmental safety degradation and valve stem displacement safety degradation, respectively. and These are the weights for environmental safety degradation and valve stem displacement safety degradation, respectively.

[0066] It should be added that environmental safety degradation is directly related to systemic fatal risks such as explosions, poisoning, and structural collapse. Its impact is wide-ranging and irreversible, and the evolution of these risks may exceed safety thresholds, triggering a chain reaction of accidents. In contrast, valve stem displacement safety degradation primarily reflects equipment operating accuracy or control function failure, representing a localized operational risk. It can usually be addressed promptly through equipment maintenance and condition monitoring. Its severity and urgency are lower than environmental risks; therefore, setting [a specific threshold] is unnecessary. For ease of analysis, It can specifically take the value 0.6. It can be specifically set to a value of 0.4.

[0067] This invention, through multi-dimensional fusion analysis of environmental safety degradation and valve stem displacement safety degradation, quantifies real-time safety degradation, achieves comprehensive assessment of multi-dimensional risks, and thus improves the accuracy of the assessment.

[0068] The sorting generation module performs correlation analysis between the real-time safety degradation degree of each valve well and the historical degradation degree time series data to generate the maintenance requirement degree of each valve well.

[0069] Please see Figure 3 As shown, exemplarily, the generation of maintenance requirement for each valve well includes: W1, extracting historical degradation time-series data for each valve well, constructing a safety degradation change curve for each valve well with time as the horizontal axis and safety degradation as the vertical axis.

[0070] W2. Extract the slope from the safety degradation change curve as the safety degradation change rate of each valve well.

[0071] W3. The real-time safety degradation degree and the rate of change of safety degradation degree of each valve well are weighted and fused to obtain the maintenance requirement degree of each valve well.

[0072] It should be added that the formula for calculating maintenance demand is as follows: In the formula To maintain the demand level, λ1 and λ2 are the real-time security degradation level and the rate of change of security degradation level, respectively. and These are the weights for real-time security degradation and the rate of change of security degradation, respectively.

[0073] It should be added that the real-time safety degradation rate directly reflects the current risk level faced by the valve well, such as immediate threats like excessive gas concentration and abnormal water levels. These are directly related to personnel safety and stable equipment operation, and are core risks that need to be addressed first. The safety degradation rate, on the other hand, focuses on reflecting the risk development trend and is a forward-looking indicator. While it can help predict future risks, its urgency is lower than that of current risks. To ensure safety, existing high-risk issues must be addressed first; therefore, this setting... For ease of analysis, It can specifically take the value 0.6. It can be specifically set to a value of 0.4.

[0074] The valve well screening module filters valve wells that require inspection based on the maintenance needs of each valve well and the periodic inspection data of the gas pipeline network, using a dynamic threshold algorithm.

[0075] For example, the step of filtering valve wells requiring inspection using a dynamic threshold algorithm includes: extracting the historical inspection time closest to the current inspection time for each valve well from the periodic inspection data of the gas pipeline network, subtracting the historical inspection time from the current inspection time, and obtaining the difference as the inspection interval time for each valve well.

[0076] The maintenance requirement and inspection interval of each valve well are compared with preset thresholds. Valve wells with a maintenance requirement greater than the preset maintenance requirement threshold or an inspection interval greater than the preset inspection interval threshold are selected as valve wells requiring inspection.

[0077] This invention relates to a method that associates real-time safety degradation with historical degradation time-series data, combines the rate of change of safety degradation to generate a maintenance requirement, and dynamically filters valve wells that need to be inspected. This method accurately locates valve wells that require maintenance, avoids blind inspections, improves the timeliness of early warning of potential risks, and reduces the probability of safety accidents.

[0078] The route planning module generates the optimal inspection route based on the gas pipeline network topology and the valve wells to be inspected, using a path planning algorithm.

[0079] For example, the step of generating the optimal inspection route through the path planning algorithm includes: constructing a node connection graph with valve well locations as location nodes based on the gas pipeline network topology, and marking the path distances.

[0080] Extract the location nodes corresponding to the valve wells requiring inspection from the node connection graph to form a set of nodes to be inspected. Based on the set of nodes to be inspected and the location node connection graph, generate multiple candidate inspection routes covering all valve wells requiring inspection through a path planning algorithm.

[0081] The candidate inspection route with the shortest path distance is selected from the path distances of each candidate inspection route and is then selected as the optimal inspection route.

[0082] This invention reduces inspection costs by constructing a node connection graph based on the gas pipeline network topology and generating the optimal inspection route with the shortest path distance through a path planning algorithm. At the same time, it ensures full coverage of all valve wells requiring inspection and improves emergency response efficiency.

[0083] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0084] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0085] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0086] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0087] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0088] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A smart gas pipeline valve well safety monitoring and management system, characterized in that: The system includes: The status monitoring module timestamps and aligns the environmental data and valve stem displacement data of each valve well in real time. The anomaly analysis module performs anomaly analysis on the timestamp-aligned environmental data and valve stem displacement data with their preset thresholds to obtain the environmental safety degradation degree and valve stem displacement safety degradation degree of each valve well. The degradation analysis module performs multi-dimensional fusion analysis based on the environmental safety degradation degree and valve stem displacement safety degradation degree of each valve well to obtain the real-time safety degradation degree of each valve well; The sorting generation module performs correlation analysis between the real-time safety degradation degree of each valve well and the historical degradation degree time series data to generate the maintenance requirement degree of each valve well. The valve well screening module filters valve wells that require inspection based on the maintenance needs of each valve well and the periodic inspection data of the gas pipeline network, using a dynamic threshold algorithm. The route planning module generates the optimal inspection route based on the gas pipeline network topology and the valve wells to be inspected. The abnormal gas concentration determination for each valve well includes: comparing the real-time opening angle of the well cover of each valve well with a preset minimum opening angle to obtain the opening / closing state of the well cover; when the well cover of the valve well is in the open state, extracting the gas concentration and time interval between the real-time monitoring time point and the previous monitoring time point from the environmental data, and then calculating the concentration change amount and concentration change rate; comparing the concentration change amount and concentration change rate with the corresponding preset first threshold, and if either exceeds the preset first threshold, the gas concentration is determined to be abnormal; when the well cover of the valve well is in the closed state, extracting the gas concentration time series data within a preset time window from the environmental data, calculating the concentration fluctuation variance and concentration trend slope; comparing the concentration fluctuation variance and concentration trend slope with the corresponding preset second threshold, and if either exceeds the preset second threshold, the gas concentration is determined to be abnormal.

2. The intelligent gas pipeline valve well safety monitoring and management system according to claim 1, characterized in that: The environmental safety degradation analysis of each valve well includes: The gas concentration, water level, and real-time opening angle of the manhole cover in each valve well in the environmental data are respectively judged against their preset thresholds to obtain the anomaly judgment results of the real-time opening angle of the manhole cover, gas concentration, and water level in each valve well. The abnormal judgment results of the real-time opening angle of the manhole cover, gas concentration and water level in the well are normalized to obtain the degradation degree of the real-time opening angle of the manhole cover, gas concentration and water level in the well. The environmental safety degradation degree of each valve well is obtained by multi-dimensional fusion calculation of the real-time opening angle of the manhole cover, the gas concentration, and the degradation degree of the water level in the well.

3. The intelligent gas pipeline valve well safety monitoring and management system according to claim 2, characterized in that: The determination of abnormal real-time opening angle of the manhole cover for each valve well includes: The difference between the real-time opening angle of the manhole cover and the preset opening angle is used as the opening angle difference of the manhole cover for each valve well, and it is compared with the preset opening angle difference threshold. If the difference in the opening angle of the valve well cover is less than or equal to the preset threshold for the difference in the opening angle of the valve well cover, then the real-time opening angle of the valve well cover is determined to be normal; otherwise, the real-time opening angle of the valve well cover is determined to be abnormal.

4. The intelligent gas pipeline valve well safety monitoring and management system according to claim 2, characterized in that: The determination of abnormal water levels in each valve well includes: The water level in each valve well is compared with the preset water level threshold. If the water level in the well is lower than the preset water level threshold, the water level in the well is considered normal; otherwise, the water level in the well is considered abnormal.

5. The intelligent gas pipeline valve well safety monitoring and management system according to claim 1, characterized in that: The analysis of the safety degradation of valve stem displacement in each valve well includes: Q1. Take the absolute value of the difference between the actual stroke and the preset stroke of the valve stem in each valve well in the valve stem displacement data as the stroke difference of the valve stem in each valve well; Q2. The ratio of the stroke difference to the preset stroke is taken as the stroke deviation rate of the valve stem in each valve well; Q3. Match and compare the stroke deviation rate of the valve stem in each valve well with the stroke deviation rate range corresponding to each stroke safety degradation degree to obtain the stroke safety degradation degree of the valve stem in each valve well; Q4. Perform a delay rate analysis on the response time of the valve stem in each valve well and the preset valve stem response time in the valve stem displacement data to obtain the safety degradation degree of the response time of the valve stem in each valve well. Q5. The average of the stroke safety degradation degree and the response time safety degradation degree shall be used as the valve stem displacement safety degradation degree of each valve well.

6. The intelligent gas pipeline valve well safety monitoring and management system according to claim 5, characterized in that: The safety degradation analysis of valve stem response time in each valve well includes: The difference between the response time and the preset valve stem response time is used as the response delay rate; Compare the response latency rate with a preset response latency rate threshold; If the response delay rate is less than or equal to the response delay rate threshold, the safety degradation degree of the valve stem response time in the valve well is 0. If the response delay rate is greater than the response delay rate threshold, the comparison analysis result between the response delay rate and the response delay rate threshold is taken as the safe degradation degree of the valve stem response time in the valve well, and then the safe degradation degree of the valve stem response time in each valve well is obtained.

7. The intelligent gas pipeline valve well safety monitoring and management system according to claim 1, characterized in that: The generation of maintenance requirements for each valve well includes: W1. Extract the historical degradation time series data of each valve well, and construct the safety degradation change curve of each valve well with time as the horizontal axis and safety degradation as the vertical axis. W2. Extract the slope from the safety degradation change curve as the safety degradation change rate of each valve well; W3. The real-time safety degradation degree and the rate of change of safety degradation degree of each valve well are weighted and fused to obtain the maintenance requirement degree of each valve well.

8. The intelligent gas pipeline valve well safety monitoring and management system according to claim 7, characterized in that: The method of filtering valve wells requiring inspection using a dynamic threshold algorithm includes: Extract the most recent historical inspection time of each valve well from the periodic inspection data of the gas pipeline network. Subtract the historical inspection time from the current inspection time. The difference is the inspection interval time of each valve well. The maintenance requirement and inspection interval of each valve well are compared with preset thresholds. Valve wells with a maintenance requirement greater than the preset maintenance requirement threshold or an inspection interval greater than the preset inspection interval threshold are selected as valve wells requiring inspection.

9. The intelligent gas pipeline valve well safety monitoring and management system according to claim 1, characterized in that: The process of generating the optimal inspection route using a path planning algorithm includes: Based on the gas pipeline network topology, a node connection graph is constructed with valve well locations as location nodes, and path distances are marked. Extract the location nodes corresponding to the valve wells requiring inspection from the node connection graph to form a set of nodes to be inspected. Based on the set of nodes to be inspected and the location node connection graph, generate multiple candidate inspection routes covering all valve wells requiring inspection through a path planning algorithm. The candidate inspection route with the shortest path distance is selected from the path distances of each candidate inspection route and is then selected as the optimal inspection route.

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