Gas leakage monitoring system for environment-friendly ring main unit

Abstract

The invention discloses a gas leakage monitoring system for an environment-friendly ring main unit, and belongs to the technical field of environment-friendly ring main unit monitoring. The system comprises a real-time acquisition looped network supervision platform, and a joint data real-time acquisition and storage module, an external environment gas dynamic analysis module, an internal environment gas risk analysis module and an emergency regulation and control decision processing module which are in communication connection with the real-time acquisition looped network supervision platform; multi-source data fusion monitoring of internal and external environments of the ring main unit is realized through the joint data real-time acquisition and storage module, the one-sidedness problem of single parameter monitoring is solved, and the leakage risk identification accuracy is improved; second-level data processing and grading risk early warning are realized by means of a real-time algorithm, and the fault response time is shortened; a grading emergency response mechanism is established based on the comprehensive risk index, different risks are precisely handled, and the operation and maintenance cost is reduced while the equipment safety is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of environmentally friendly ring main unit monitoring, and in particular to a gas leakage monitoring system for an environmentally friendly ring main unit. Background Art

[0002] With the world's increasing emphasis on environmental protection and sustainable development, traditional ring main units (RMUs) using sulfur hexafluoride as the insulating medium are facing pressure to be eliminated due to their high greenhouse effect potential. Environmentally friendly RMUs use nitrogen, dry air, or environmentally friendly gas mixtures to replace SF6, becoming the mainstream choice in the distribution network field. However, the insulation performance of environmentally friendly gases is more sensitive to parameters such as air pressure and humidity. The risk of leakage may cause equipment insulation failure or even safety accidents. Therefore, it is necessary to establish an efficient gas leakage monitoring system.

[0003] Environmentally friendly gas is less stable than SF6 gas and will gradually decompose during use, resulting in a decrease in the insulation level in the gas box. If a gas leak occurs, the problem of reduced insulation performance will become more serious, and the switchgear in the ring network cabinet may be damaged due to electrical breakdown, causing a safety accident. Therefore, it is necessary to detect the gas composition and leakage of the environmentally friendly gas insulated ring network cabinet in order to arrange timely maintenance and replacement of the insulating gas to ensure the insulation performance and safe operation of the ring network cabinet.

[0004] In conjunction with the above content, it should be noted that: the Chinese patent application number CN2023107251851 discloses an online leakage, pressure, and discharge monitoring device for SF6 gas in a ring main unit. Based on the MCU, the SF6 multi-gas acquisition switching circuit controls the on-off of multiple solenoid valves in turn, so that the gas pump draws the gas from different monitoring points into the sensor chamber to perform leakage detection on multiple monitoring points of the ring main unit. The SF6 gas leakage degree in the ring main unit or switch cabinet can be detected in time at the early stage of leakage, and then a comprehensive analysis of SF6 pressure monitoring and ozone monitoring is performed to make a preventive judgment on the health status of the cabinet.

[0005] In fact.

[0006] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0007] The object of the present invention is to provide a gas leakage monitoring system for an environmentally friendly ring main unit to solve the problems raised.

[0008] To achieve the above-mentioned object, the present invention provides the following technical solution: a gas leakage monitoring system for an environmentally friendly ring network cabinet, comprising a real-time data acquisition and monitoring platform, a joint data real-time acquisition and storage module, an external environment gas dynamic analysis module, an internal environment gas risk analysis module, and an emergency control decision processing module, to which the real-time data acquisition and monitoring platform is communicatively connected;

[0009] The joint data real-time acquisition and storage module continuously collects the external and internal environmental parameters of the ring network cabinet based on the timeline, stores them in the supervision platform in time series after preprocessing, and transmits them to the external environment gas dynamic analysis module and the internal environment gas risk analysis module respectively;

[0010] The external environment gas dynamic analysis module generates gas state abnormality signals and temperature and humidity impact signals based on external environment parameters, and sends them to the internal environment gas risk analysis module and the emergency control decision processing module;

[0011] The internal environment gas risk analysis module combines internal environment data parameters with external environment signals to generate a comprehensive risk level signal; the emergency control decision processing module executes a graded emergency response according to the risk level signal.

[0012] Furthermore, the operation steps of the joint data real-time acquisition and storage module are as follows:

[0013] Through the sensor group deployed outside the ring network cabinet, the external environment gas concentration data, temperature data, and humidity data are collected in real time to construct the external environment parameters. The internal environment air pressure data and the concentration data of each gas component are collected through the built-in sensor group to construct the internal environment parameters. The original data parameters are denoised, and the sliding window algorithm is used to filter out abnormal values ​​to generate a continuous and smooth data stream. The processed data is indexed by timestamp and stored in the distributed database of the supervision platform, and simultaneously pushed to the external environment gas dynamic analysis module and the internal environment gas risk analysis module.

[0014] Furthermore, the operating steps of the external environment air dynamic analysis module are as follows:

[0015] Based on the time series data of the external environment gas concentration, the concentration change amplitude per unit time is calculated to determine whether there is abnormal fluctuation; at the same time, combined with the temperature and humidity data, the comprehensive impact of environmental parameters on gas stability is analyzed; if the concentration change amplitude exceeds the warning threshold or the comprehensive impact of temperature and humidity exceeds the safety range, an external environment warning signal S is generated. ext And temperature and humidity affect the information source, the external environment warning signal S ext Sent to the internal environment gas risk analysis module and the emergency control decision processing module.

[0016] Furthermore, the steps for analyzing the comprehensive impact of temperature and humidity of the external environment dynamic analysis module are as follows:

[0017] Compare the real-time temperature and humidity data with the preset optimal environmental parameters and calculate the parameter deviation; generate a comprehensive temperature and humidity impact index through a weighted summation model. If the index exceeds the critical value, it is determined that the environmental conditions have a significant impact on gas stability. The data confirmation of the temperature and humidity impact information source is completed, and a temperature and humidity impact signal S is generated. htAnd send it to the internal environment gas risk analysis module.

[0018] Furthermore, the operating steps of the internal environment gas risk analysis module are as follows:

[0019] Monitor the change trend of internal environment air pressure in real time, calculate the air pressure change rate per unit time, and analyze the concentration change pattern of characteristic gases in combination with gas component concentration data; if the air pressure change rate or characteristic gas concentration change exceeds the normal range, generate an internal environment air pressure abnormality signal S p .

[0020] Furthermore, the leakage rate calculation steps of the internal environment gas risk analysis module are as follows:

[0021] Based on the real-time acquisition of the ring network monitoring platform to obtain the ideal gas state equation, combined with the real-time air pressure, gas concentration of each component and temperature data of the internal environment, a leakage rate calculation model is established; by comparing the gas state parameters of two consecutive monitoring cycles, the amount of gas substance per unit time is deduced, and then the leakage rate is calculated; if the leakage rate exceeds the preset leakage threshold, it is determined that there is a gas leakage risk, and an internal environment leakage signal S is generated. i .

[0022] Furthermore, the linkage analysis steps of the internal environment gas risk analysis module are as follows:

[0023] The abnormal ambient pressure signal S p , internal environment leakage signal S i and external environmental warning signals S ext , Temperature and humidity affect signal S ht Perform multi-dimensional fusion and obtain the comprehensive risk index R through conversion of the comprehensive risk index model; retrieve the preset index range level table from the real-time collection ring network supervision platform and compare it with the comprehensive risk index R, generate the corresponding risk signal and send it to the emergency control decision-making processing module.

[0024] The beneficial effects of the present invention are:

[0025] 1. The present invention builds a full-scene monitoring system by jointly collecting multi-dimensional data such as gas concentration, temperature, humidity, and air pressure of the internal and external environments of the ring network cabinet, solving the one-sided problem of single parameter monitoring, improving the accuracy of leakage risk identification, and integrating multi-source data for monitoring.

[0026] 2. The present invention uses real-time algorithms such as sliding average filtering and differential calculation to achieve second-level data processing and minute-level risk warning. Compared with the traditional offline analysis mode, it can capture the initial signal of gas leakage in advance, shorten the fault response time, and perform real-time dynamic analysis.

[0027] 3. The present invention establishes a three-level response mechanism based on a comprehensive risk index, from early warning prompts to automatic gas replenishment and emergency power outages, to achieve accurate risk management, avoid excessive intervention or insufficient response, ensure the safe operation of equipment, reduce operation and maintenance costs, and implement graded emergency response.

[0028] 4. The present invention analyzes the comprehensive impact of temperature and humidity and dynamically corrects the interference of environmental parameters on the gas state. It is suitable for environmentally friendly ring network cabinet monitoring under different climatic conditions, improves the environmental robustness of the system, and has strong environmental adaptability.

[0029] 5. The present invention forms a complete closed loop from data collection, risk analysis to emergency response, reduces dependence on manual intervention, improves the automation level of the monitoring system, and provides technical support for the intelligent operation and maintenance of the distribution network and intelligent closed-loop management. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0031] Figure 1 It is a system flow chart of the present invention;

[0032] Figure 2 This is a flowchart of the data collection process of the system of the present invention. DETAILED DESCRIPTION

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0034] Example 1: Please refer to Figure 1 - Figure 2 As shown, this embodiment is a gas leakage monitoring system for an environmentally friendly ring network cabinet, including a real-time data collection ring network supervision platform, a joint data real-time collection storage module connected to the real-time data collection ring network supervision platform, an external environment gas dynamic analysis module, an internal environment gas risk analysis module and an emergency control decision processing module.

[0035] The joint data real-time acquisition and storage module continuously collects the external and internal environmental parameters of the ring main unit based on the timeline. After pre-processing, it is stored in the supervision platform in time series and transmitted to the external environment gas dynamic analysis module and the internal environment gas risk analysis module respectively. The operation steps of the joint data real-time acquisition and storage module are as follows:

[0036] Through the sensor group deployed outside the ring network cabinet, the external environment gas concentration data, temperature data, and humidity data are collected in real time to build external environment parameters;

[0037] The internal environment air pressure data and the concentration data of each gas component are collected through the built-in sensor group to construct the internal environment parameters;

[0038] Denoising is performed on the original data parameters, and the sliding window algorithm is used to filter outliers to generate a continuous and smooth data stream. The sliding average filter model of the sliding window algorithm is:

[0039]

[0040] in, Represented as filtered data at time t; D j It represents the original collected data at the jth moment, including external environment gas concentration data, temperature data, humidity data or replaced by internal environment air pressure data and concentration data of each gas component; n represents the window size, which can be n = 10 / second, that is, taking the average of 10 sampling points within every 10 seconds to effectively filter out high-frequency noise; and retrieve the pre-stored deviation exceeding preset threshold and filtered data from the real-time acquisition ring network supervision platform To compare:

[0041] when When the deviation exceeds the preset threshold, a data abnormality signal is generated and sent to the real-time collection ring network supervision platform for recording;

[0042] The processed data is indexed and archived according to timestamps, stored in the distributed database of the supervision platform, and simultaneously pushed to the external environmental gas dynamic analysis module and the internal environmental gas risk analysis module.

[0043] The external environment gas dynamic analysis module generates gas state abnormality signals and temperature and humidity impact signals based on external environment parameters, and sends them to the internal environment gas risk analysis module and the emergency control decision processing module. The operation steps of the external environment gas dynamic analysis module are as follows:

[0044] Based on the time series data of the external environment gas concentration, the concentration change amplitude per unit time is calculated to determine whether there is abnormal fluctuation. Combined with the temperature and humidity data, the comprehensive impact of environmental parameters on gas stability is analyzed. The concentration change rate calculation model is:

[0045]

[0046] Among them, δC represents the concentration change amplitude, C t Expressed as the current ambient gas concentration; C t-Δt It is expressed as the concentration value of the previous monitoring period; Δ represents the increment; Δt represents the monitoring period;

[0047] The pre-stored external environment concentration change threshold K is retrieved from the real-time acquisition ring network monitoring platform ext With the concentration change amplitude δC, when δC>K ext When the external environment warning signal S is generated ext And temperature and humidity affect the information source, the external environment concentration change threshold K ext Including warning threshold or temperature and humidity comprehensive impact safety range, the external environment warning signal S ext Send to the internal environment gas risk analysis module and emergency control decision processing module;

[0048] It should be noted that the external environment concentration change threshold K ext Set to 1% / min, monitoring period Δt = 2 / min; when δC = 1.2% / min is calculated at a certain moment, it is determined that the external environment gas concentration fluctuates abnormally, and an external environment warning signal S is generated. ext .

[0049] The steps for analyzing the comprehensive impact of temperature and humidity in the external environment dynamic analysis module are as follows:

[0050] Compare the real-time temperature and humidity data with the preset optimal environmental parameters and calculate the parameter deviation;

[0051] The temperature and humidity comprehensive impact index is generated through the weighted sum model. The temperature and humidity comprehensive impact index model is:

[0052]

[0053] Among them, Q represents the comprehensive impact index of temperature and humidity, T represents the real-time temperature; T opt Expressed as the optimal temperature; T range Indicates the allowable temperature fluctuation range; H indicates the real-time humidity; H opt Expressed as optimal humidity; H range It is expressed as the allowable fluctuation range of humidity; α and β are expressed as weight coefficients, and the pre-stored index is retrieved from the real-time acquisition ring network supervision platform and exceeds the critical value Q th Compared with the comprehensive impact index Q of temperature and humidity, when Q>Q th When the environmental conditions have a significant impact on gas stability, the data confirmation of the temperature and humidity impact information source is completed, and the temperature and humidity impact signal S is generated. htAnd send it to the internal environment gas risk analysis module;

[0054] It should be noted that if the optimal temperature T opt =20℃, the temperature fluctuation range is T range =10℃, optimal humidity H opt =60%RH, humidity allowable fluctuation range H range =20%RH, weight coefficients α=0.7, β=0.3, the index exceeds the critical value Q th =0.6, if at a certain moment T=28°C, H=75%RH, it is calculated that Q=0.72>0.6, but it is not limited to this, and the parameters are adjusted according to actual needs.

[0055] Example 2: This example is a gas leakage monitoring system for an environmentally friendly ring main unit, including an internal environment gas risk analysis module that combines internal environment data parameters with external environment signals to generate a comprehensive risk level signal; an emergency control decision processing module that executes a graded emergency response based on the risk level signal. The operation steps of the internal environment gas risk analysis module are as follows:

[0056] Monitor the change trend of the internal environment air pressure in real time and calculate the air pressure change rate per unit time. The air pressure change rate calculation model is:

[0057]

[0058] Where δW represents the rate of change of air pressure; W z Indicates the ambient air pressure at the current moment; W z-1 It represents the air pressure value at the previous moment; Δz represents the time interval;

[0059] Combined with the gas component concentration data, the concentration variation pattern of characteristic gases is analyzed;

[0060] If the pressure change rate or characteristic gas concentration change exceeds the normal range, the normal range indicates the pressure change threshold K int , which is obtained from the real-time collection ring network supervision platform. When δW>K int When the internal environment air pressure abnormality signal S is generated p ;

[0061] It should be noted that in the internal environment gas risk analysis module, the pressure change threshold K int =0.005MPa / min, when δW=0.006MPa / min is detected, an abnormal internal environment pressure signal S is generated. p ;

[0062] The leakage rate calculation steps of the internal environment gas risk analysis module are as follows: Based on the real-time acquisition of the ring network supervision platform to obtain the ideal gas state equation, combined with the real-time air pressure, concentration of each component gas and temperature data of the internal environment, a leakage rate calculation model is established. The gas leakage rate model is derived based on the ideal gas state equation PV = nRT, specifically:

[0063]

[0064] Where L represents the leakage rate, which indicates the amount of gas leakage per unit time; V represents the gas volume in the ring network cabinet, which is an inherent parameter of the equipment; C int,i,t It is expressed as the concentration of the gas component in the i-th gas at the t-th time, which is collected in real time by the gas component sensor. t and i represent natural numbers greater than zero; P int,i.t It represents the ambient air pressure at time t, which is collected by the air pressure sensor; R represents the gas constant, which is 8.314J / MOL.K; T int It represents the internal environment temperature, and takes the real-time collected internal environment temperature data; Δg represents the monitoring period, that is, the time interval between two adjacent data collections;

[0065] By comparing the gas state parameters of two consecutive monitoring cycles Δg, the amount of gas substance changes per unit time is deduced, and then the leakage rate L is calculated. The pre-stored leakage preset threshold L is retrieved from the real-time acquisition ring network supervision platform. th Compare with the leakage rate L, when L>L th When a leakage signal is generated, it is determined that there is a gas leakage risk and an internal environment leakage signal S is generated. i , the signal strength is positively correlated with the amplitude of L exceeding the threshold;

[0066] It should be noted that if the gas leakage rate is calculated with nitrogen N2 as the characteristic component, in this state i = 1, the volume inside the ring main cabinet V = 12m 3 , monitoring period Δg=5min, leakage preset threshold L th =0.02 mol / min;

[0067] If the data collected at a certain moment is: C at time t int,i,t =500mol / m 3 , P int,i.t =1.01×10 5 Pa, T int =298K;

[0068] t-Δg moment: C int,i,t -Δg=510mol / m 3 , P int,i.t -=1.02×10 5 Pa;

[0069] The leakage rate is then calculated as:

[0070] Among them, the negative sign indicates concentration drop / leakage, L = 0.032 > 0.02, it is determined to be a leakage risk, and the internal environment leakage signal S is generated. i And trigger linkage analysis, but not limited to this, and adjust according to actual needs and collection parameters.

[0071] The linkage analysis steps of the internal environment air risk analysis module are as follows: the abnormal ambient air pressure signal S p , internal environment leakage signal S i and external environmental warning signals S ext , Temperature and humidity affect signal S ht Perform multi-dimensional integration and convert the comprehensive risk index R through the comprehensive risk index model: The comprehensive risk index model is:

[0072]

[0073] Where Sd represents the quantized value of each single signal, for example, d = 1 corresponds to S p d=2 corresponds to S i d=3 corresponds to S ext and d = 4 corresponds to S th ; wd represents the weight coefficient of each signal; the preset index interval range level table stored after historical data analysis is retrieved from the real-time acquisition ring network supervision platform for comparison with the comprehensive risk index R. The preset index interval range level table includes risk limits R1 and R2:

[0074] When R<R1, it indicates low risk and is sent to the emergency control decision-making processing module. When the risk is low, an audible and visual warning is triggered to alert the operation and maintenance personnel.

[0075] When R1≤R<R2, it indicates medium risk and is sent to the emergency control decision-making processing module. When the risk is medium, the air supply device is automatically activated to maintain the internal environment pressure stable;

[0076] When R≥R2, it indicates high risk and is sent to the emergency control decision-making processing module. In this case, the power supply is immediately cut off, the gas valve is closed, and a fault repair signal is sent to the remote monitoring center.

[0077] After receiving the risk level signal, the emergency control decision processing module executes the graded response mechanism.

[0078] In combination with Example 1 and Example 2, the present invention realizes multi-source data fusion monitoring of the internal and external environments of the ring network cabinet through a joint data real-time acquisition and storage module, solves the one-sidedness problem of single parameter monitoring, and improves the accuracy of leakage risk identification; uses real-time algorithms to realize second-level data processing and minute-level risk warning, shortening the fault response time; establishes a hierarchical emergency response mechanism based on the comprehensive risk index, accurately handles different risks, ensures equipment safety while reducing operation and maintenance costs; dynamically corrects environmental interference through comprehensive impact analysis of temperature and humidity, and enhances the environmental robustness of the system; forms intelligent closed-loop management from data acquisition to emergency processing, reduces manual intervention, improves the intelligent operation and maintenance level of the distribution network, and provides an efficient and comprehensive solution for environmentally friendly ring network cabinet gas leakage monitoring.

[0079] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

[0080] Throughout this specification, references to terms such as "one embodiment," "example," and "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. Schematic representations of these terms in this specification do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. The joint data real-time acquisition and storage module utilizes the following hardware configuration: A Honeywell XCD gas detector with an accuracy of ±2% FS is used as the external gas concentration sensor to collect real-time concentrations of gases such as oxygen and nitrogen; a Swiss Rotronic HC2A-S temperature and humidity sensor with a temperature measurement range of -40°C to 80°C and a humidity measurement range of 0% to 100% RH; an MS5803 internal pressure sensor from MEAS (USA) with an accuracy of ±0.01% FS to collect pressure data; and an Agilent 7890B gas chromatograph is used as the gas component sensor to monitor the concentrations of the various components of the SF6 substitute gas in real time. These are not intended to be limiting and may be replaced based on actual usage.

[0081] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A gas leakage monitoring system for an environmentally friendly ring main unit, characterized in that: It includes a real-time data collection ring network monitoring platform, a joint data real-time collection and storage module, an external environment gas dynamic analysis module, an internal environment gas risk analysis module and an emergency control decision processing module connected to the real-time data collection ring network monitoring platform; The joint data real-time acquisition and storage module continuously collects the external and internal environmental parameters of the ring network cabinet based on the timeline, stores them in the supervision platform in time series after preprocessing, and transmits them to the external environment gas dynamic analysis module and the internal environment gas risk analysis module respectively; The external environment gas dynamic analysis module generates gas state abnormality signals and temperature and humidity impact signals based on external environment parameters, and sends them to the internal environment gas risk analysis module and the emergency control decision processing module; The internal environment gas risk analysis module combines internal environment data parameters with external environment signals to generate a comprehensive risk level signal; the emergency control decision processing module executes a graded emergency response according to the risk level signal.

2. The gas leakage monitoring system for an environmentally friendly ring main unit according to claim 1, characterized in that: The operation steps of the joint data real-time acquisition and storage module are as follows: Through the sensor group deployed outside the ring network cabinet, the external environment gas concentration data, temperature data, and humidity data are collected in real time to construct the external environment parameters. The internal environment air pressure data and the concentration data of each gas component are collected through the built-in sensor group to construct the internal environment parameters. The original data parameters are denoised, and the sliding window algorithm is used to filter out abnormal values ​​to generate a continuous and smooth data stream. The processed data is indexed by timestamp and stored in the distributed database of the supervision platform, and simultaneously pushed to the external environment gas dynamic analysis module and the internal environment gas risk analysis module.

3. The gas leakage monitoring system for an environmentally friendly ring main unit according to claim 2, characterized in that: The operating steps of the external environment gas dynamic analysis module are as follows: Based on the time series data of the external environment gas concentration, the concentration change amplitude per unit time is calculated to determine whether there is abnormal fluctuation; at the same time, combined with the temperature and humidity data, the comprehensive impact of environmental parameters on gas stability is analyzed; if the concentration change amplitude exceeds the warning threshold or the comprehensive impact of temperature and humidity exceeds the safety range, an external environment warning signal S is generated. ext And temperature and humidity affect the information source, the external environment warning signal S ext Sent to the internal environment gas risk analysis module and the emergency control decision processing module.

4. The gas leakage monitoring system for an environmentally friendly ring main unit according to claim 3, characterized in that: The steps for analyzing the comprehensive impact of temperature and humidity of the external environment dynamic analysis module are as follows: Compare the real-time temperature and humidity data with the preset optimal environmental parameters and calculate the parameter deviation; generate a comprehensive temperature and humidity impact index through a weighted summation model. If the index exceeds the critical value, it is determined that the environmental conditions have a significant impact on gas stability. The data confirmation of the temperature and humidity impact information source is completed, and a temperature and humidity impact signal S is generated. ht And send it to the internal environment gas risk analysis module.

5. The gas leakage monitoring system for an environmentally friendly ring main unit according to claim 2, characterized in that: The operating steps of the internal environment gas risk analysis module are as follows: Monitor the change trend of internal environment air pressure in real time, calculate the air pressure change rate per unit time, and analyze the concentration change pattern of characteristic gases in combination with gas component concentration data; if the air pressure change rate or characteristic gas concentration change exceeds the normal range, generate an internal environment air pressure abnormality signal S p .

6. The gas leakage monitoring system for an environmentally friendly ring main unit according to claim 5, characterized in that: The leakage rate calculation steps of the internal environment gas risk analysis module are as follows: Based on the real-time data collection of the ring network monitoring platform, the ideal gas state equation is obtained. Combined with the real-time air pressure, concentration of each gas component, and temperature data of the internal environment, a leakage rate calculation model is established. By comparing the gas state parameters of two consecutive monitoring cycles, the change in the amount of gas per unit time is deduced, and the leakage rate is calculated. If the leakage rate exceeds the preset leakage threshold, it is determined that there is a gas leakage risk and an internal environment leakage signal S is generated. i .

7. The gas leakage monitoring system for an environmentally friendly ring main unit according to claim 6, characterized in that: The linkage analysis steps of the internal environment gas risk analysis module are as follows: The abnormal ambient pressure signal S p , internal environment leakage signal S i and external environmental warning signals S ext , Temperature and humidity affect signal S ht Perform multi-dimensional fusion and obtain the comprehensive risk index R through conversion of the comprehensive risk index model; retrieve the preset index range level table from the real-time collection ring network supervision platform and compare it with the comprehensive risk index R, generate the corresponding risk signal and send it to the emergency control decision-making processing module.

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