Gas leakage monitoring system for environment-friendly ring main unit

Abstract

This invention discloses a gas leak monitoring system for environmentally friendly ring main units (RNBs), belonging to the field of environmentally friendly RNB monitoring technology. The invention includes a real-time data acquisition and monitoring platform, which is communicatively connected to a joint real-time data acquisition and storage module, an external environmental gas dynamic analysis module, an internal environmental gas risk analysis module, and an emergency control decision processing module. The invention achieves multi-source data fusion monitoring of the internal and external environments of the RNB through the joint real-time data acquisition and storage module, solving the problem of the one-sidedness of single-parameter monitoring and improving the accuracy of leak risk identification. It utilizes real-time algorithms to achieve second-level data processing and graded risk warning, shortening fault response time. Based on a comprehensive risk index, a graded emergency response mechanism is established to accurately handle different risks, ensuring equipment safety while reducing operation and maintenance costs.

Description

Technical Field

[0001] This invention relates to the field of environmentally friendly ring main unit monitoring technology, specifically a gas leakage monitoring system for environmentally friendly ring main units. Background Technology

[0002] With increasing global emphasis on environmental protection and sustainable development, traditional ring main units (RNs) using sulfur hexafluoride (SF6) as insulation are facing elimination pressure due to their high greenhouse effect potential. Environmentally friendly RNs, which use nitrogen, dry air, or mixtures of environmentally friendly gases to replace SF6, have become the mainstream choice in the power distribution network sector. However, the insulation performance of environmentally friendly gases is more sensitive to parameters such as gas pressure and humidity. Leakage risks may lead to equipment insulation failure or even safety accidents. Therefore, it is necessary to establish an efficient gas leakage monitoring system.

[0003] Environmentally friendly gases are less stable than SF6 gases and will gradually decompose during use, leading to a decrease in the insulation level inside the gas box. If a gas leak occurs, the problem of reduced insulation performance will be more serious, which may cause damage to the switchgear inside the ring main unit due to electrical breakdown and cause a safety accident. Therefore, it is necessary to detect the gas composition and leakage situation in environmentally friendly gas-insulated ring main units so as to arrange maintenance and replacement of insulating gas in a timely manner to ensure the insulation performance and safe operation of the ring main unit.

[0004] In conjunction with the above, it should be noted that the Chinese patent application CN2023107251851 discloses an online leakage, pressure, and discharge monitoring device for SF6 gas in a ring main unit. Based on an MCU, the device uses an SF6 multi-channel acquisition and switching circuit to control the on / off state of multiple solenoid valves in turn. This allows the gas pump to draw gas from different monitoring points into the sensor chamber to perform leakage detection at multiple ring main unit monitoring points. It can detect the degree of SF6 gas leakage in the ring main unit or switch cabinet in the early stage of leakage. Then, it can perform comprehensive analysis of SF6 pressure monitoring and ozone monitoring to make a preventive judgment on the health status inside the cabinet.

[0005] In reality.

[0006] To address the aforementioned technical deficiencies, a solution is proposed. Summary of the Invention

[0007] The purpose of this invention is to provide a gas leakage monitoring system for environmentally friendly ring main units to solve the problems mentioned above.

[0008] To achieve the above objectives, the present invention provides the following technical solution: a gas leakage monitoring system for an environmentally friendly ring network cabinet, comprising a real-time acquisition ring network monitoring platform, wherein the real-time acquisition ring network monitoring platform is communicatively connected to a joint real-time data 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;

[0009] The joint data real-time acquisition and storage module continuously acquires the external and internal environmental parameters of the ring network cabinet in stages based on the timeline. After preprocessing, the parameters are stored in the monitoring platform in time sequence and transmitted to the external environmental gas dynamic analysis module and the internal environmental gas risk analysis module, respectively.

[0010] The external environment gas dynamic analysis module generates gas state abnormality signals and temperature and humidity influence signals based on external environment parameters, and sends them to the internal environment gas risk analysis module and 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 based on the risk level signal.

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

[0013] By deploying sensor arrays outside the ring network cabinet, real-time data on external environmental gas concentration, temperature, and humidity are collected to construct external environmental parameters. Similarly, internal environmental parameters are constructed by collecting internal environmental air pressure and concentration data of various gas components using built-in sensor arrays. Noise reduction processing is performed on the raw data parameters, and outliers are filtered using a sliding window algorithm to generate a continuous and smooth data stream. The processed data is indexed by timestamp and stored in the distributed database of the monitoring platform, and simultaneously pushed to the external environmental gas dynamic analysis module and the internal environmental gas risk analysis module.

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

[0015] Based on time-series data of ambient gas concentrations, the magnitude of concentration change per unit time is calculated to determine whether abnormal fluctuations exist. Simultaneously, temperature and humidity data are combined to analyze the comprehensive impact of environmental parameters on gas stability. If the concentration change exceeds the warning threshold or the combined effect of temperature and humidity exceeds the safe range, an ambient environmental warning signal S is generated. ext Including information sources on the impact of temperature and humidity, the external environment early warning signal S ext The data is sent to the internal environment gas risk analysis module and the emergency control decision processing module.

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

[0017] Real-time temperature and humidity data are compared with preset optimal environmental parameters to calculate parameter deviation. A comprehensive temperature and humidity impact index is generated using a weighted summation model. If the index exceeds a critical value, it is determined that the environmental conditions have a significant impact on gas stability, thus confirming the data source of temperature and humidity impact information and generating a temperature and humidity impact signal S. htAnd send it to the internal environment gas risk analysis module.

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

[0019] Real-time monitoring of indoor air pressure changes, calculation of the rate of pressure change per unit time, and analysis of characteristic gas concentration variation patterns based on gas component concentration data; if the rate of pressure change or characteristic gas concentration change exceeds the normal range, an abnormal indoor air pressure signal S is generated. p .

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

[0021] Based on the ideal gas state equation obtained from the real-time acquisition ring network monitoring platform, and combined with real-time air pressure, gas concentration, 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 gaseous substances per unit time is derived, and then the leakage rate is calculated. If the leakage rate exceeds the preset leakage threshold, a gas leakage risk is determined, 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 air pressure signal S p Internal environment leakage signal S i External environment early warning signal S ext Temperature and humidity affect signal S ht Multi-dimensional integration is carried out, and the comprehensive risk index R is obtained by conversion through the comprehensive risk index model. The preset index range level table is retrieved from the real-time data collection ring network monitoring platform and compared with the comprehensive risk index R to generate the corresponding risk signal and send it to the emergency control decision processing module.

[0024] The beneficial effects of this invention are:

[0025] 1. This invention constructs a full-scenario monitoring system by jointly collecting multi-dimensional data such as gas concentration, temperature, humidity, and air pressure in the internal and external environment of the ring network cabinet. This solves the problem of the one-sidedness of single parameter monitoring, improves the accuracy of leakage risk identification, and enables multi-source data fusion monitoring.

[0026] 2. This invention achieves second-level data processing and minute-level risk warning by using real-time algorithms such as moving average filtering and differential calculation. 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. This invention establishes a three-level response mechanism based on a comprehensive risk index, from early warning to automatic gas replenishment and emergency power cut-off, to achieve precise risk management, avoid excessive intervention or insufficient response, ensure safe equipment operation while reducing operation and maintenance costs, and provide tiered emergency response.

[0028] 4. This invention uses comprehensive analysis of the effects of temperature and humidity to dynamically correct the interference of environmental parameters on the gas state. It is applicable to environmentally friendly ring network cabinet monitoring under different climatic conditions, improves the environmental robustness of the system, and has strong environmental adaptability.

[0029] 5. This invention forms a complete closed loop from data acquisition and risk analysis to emergency response, reducing reliance on manual intervention, improving the automation level of the monitoring system, providing technical support for the intelligent operation and maintenance of the power distribution network, and enabling intelligent closed-loop management. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art 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.

[0031] Figure 1 This is a system flowchart of the present invention;

[0032] Figure 2 This is a flowchart of the data acquisition process of the system of the present invention. Detailed Implementation

[0033] 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.

[0034] Example 1: Please refer to Figure 1 - Figure 2 As shown, this embodiment is a gas leak monitoring system for an environmentally friendly ring network cabinet, including a real-time acquisition ring network monitoring platform, a joint data real-time acquisition and storage module connected to the real-time acquisition ring network monitoring 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 external and internal environmental parameters of the ring network cabinet in stages based on a timeline. After preprocessing, the parameters are stored in the monitoring platform according to the time series and then transmitted to the external environmental gas dynamic analysis module and the internal environmental gas risk analysis module, respectively. The operation steps of the joint data real-time acquisition and storage module are as follows:

[0036] By deploying sensor arrays outside the ring main unit, real-time data on ambient gas concentration, temperature, and humidity are collected to construct ambient parameters.

[0037] The internal environment parameters are constructed by collecting indoor air pressure data and concentration data of various gas components through a built-in sensor group.

[0038] The original data parameters are denoised using a sliding window algorithm to filter outliers, generating a continuous and smooth data stream. The sliding window algorithm's moving average filtering model is as follows:

[0039]

[0040] in, D represents the filtered data at time t; j This represents the raw data collected at time j, specifically including external environmental gas concentration data, temperature data, humidity data, or alternatively, internal environmental air pressure data and concentration data of each gas component; n represents the window size, which can be n = 10 / second, meaning the average of 10 sampling points within every 10 seconds is taken to effectively filter out high-frequency noise; and pre-stored deviation exceeding preset thresholds and filtered data are retrieved from the real-time acquisition ring network monitoring platform. Compare:

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

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

[0043] The external environment gas dynamic analysis module generates gas state anomaly signals and temperature and humidity influence 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 time-series data of ambient gas concentrations, the concentration change rate per unit time is calculated to determine whether abnormal fluctuations exist. Combined with temperature and humidity data, the comprehensive impact of environmental parameters on gas stability is analyzed. The concentration change rate calculation model is as follows:

[0045]

[0046] Where δC represents the magnitude of the concentration change, C t Represented as the current concentration of gases in the external environment; C t-Δt Δ represents the concentration value of the previous monitoring period; Δ represents the increment; Δt represents the monitoring period.

[0047] The threshold K for changes in external environmental concentration is retrieved from the real-time data collection and monitoring platform. ext The concentration change amplitude value δC, when δC > K ext At that time, an external environment early warning signal S is generated. ext And the information source affected by temperature and humidity, and the threshold K for changes in concentration in the external environment. ext Including warning thresholds or the combined impact of temperature and humidity on the safety range, the external environmental warning signal S ext Send to the internal environment gas risk analysis module and the emergency control decision processing module;

[0048] It should be noted that the threshold K for changes in environmental concentration ext The monitoring rate is set to 1% / min, with a monitoring cycle Δt = 2 / min. When δC = 1.2% / min is calculated at a certain moment, an abnormal fluctuation in the ambient gas concentration is determined, and an ambient early warning signal S is generated. ext .

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

[0050] The real-time temperature and humidity data are compared with the preset optimal environmental parameters to calculate the parameter deviation.

[0051] The comprehensive impact index of temperature and humidity is generated using a weighted summation model. The model for the comprehensive impact index of temperature and humidity is as follows:

[0052]

[0053] Where Q represents the combined influence index of temperature and humidity, and T represents the real-time temperature; T opt Indicated as the optimal temperature; T range The value is represented by H, which indicates the allowable temperature fluctuation range; H represents the real-time humidity. opt Indicated as optimal humidity; H range The value represents the allowable fluctuation range of humidity; α and β represent weighting coefficients, and the index retrieved from the real-time data collection ring network monitoring platform exceeds the critical value Q. th Compared with the comprehensive influence index of temperature and humidity Q, when Q > Q th When this occurs, it is determined that environmental conditions have a significant impact on gas stability, the data source of the temperature and humidity influence information is confirmed, and a temperature and humidity influence signal S is generated. htAnd send it to the internal environment gas risk analysis module;

[0054] It should be noted that in the comprehensive analysis of the effects of temperature and humidity, the optimal temperature T... opt =20℃, allowable temperature fluctuation range T range =10℃, optimal humidity H opt =60%RH, allowable humidity fluctuation range H range =20%RH, weighting coefficients α=0.7, β=0.3, the exponent exceeds the critical value Q. th =0.6. If at a certain moment T=28℃ and H=75%RH, the calculated Q=0.72>0.6. However, it is not limited to this. The parameters should be adjusted according to the actual needs.

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

[0056] Real-time monitoring of indoor air pressure changes and calculation of the rate of air pressure change per unit time. The calculation model for the rate of air pressure change is as follows:

[0057]

[0058] Where δW represents the rate of change of air pressure; W z W represents the ambient air pressure at the current moment. z-1 The pressure value at the previous moment is represented by Δz; the time interval is represented by Δz.

[0059] By combining gas component concentration data, analyze the concentration variation patterns of characteristic gases;

[0060] If the rate of change in air pressure or the change in the concentration of a characteristic gas exceeds the normal range, the normal range represents the air pressure change threshold K. int It is obtained from the real-time data collection and monitoring platform, when δW > K int At that time, an abnormal internal environmental air pressure signal S is generated. p ;

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

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

[0063]

[0064] Where L represents the leakage rate, characterizing the amount of gas leakage per unit time; V represents the gas volume inside the ring main unit, an inherent parameter of the equipment; C int,i,t P represents the concentration of the i-th gas component at time t, collected in real time by a gas component sensor, where t and i represent natural numbers greater than zero; int,i.t Let T represent the ambient air pressure at time t, collected by a pressure sensor; R represents the gas constant, with a value of 8.314 J / mol·K; int The value is represented as the indoor ambient temperature, which is the real-time collected indoor ambient temperature data; Δg represents the monitoring period, which is the time interval between two adjacent data collections.

[0065] By comparing the gas state parameters Δg over two consecutive monitoring periods, the change in the amount of gaseous substance per unit time is derived, and the leakage rate L is calculated. The pre-stored leakage threshold L is then retrieved from the real-time data acquisition ring network monitoring platform. th Compare with the leakage rate L; when L > L th If a leak signal is generated, it indicates a risk of gas leakage, and an internal environment leak signal S is generated. i The signal strength is positively correlated with the magnitude by which L exceeds the threshold;

[0066] It should be noted that if the gas leakage rate calculation uses nitrogen (N2) as the characteristic component, then in this state, i = 1 and the volume inside the ring main unit is V = 12 m³. 3 Monitoring cycle Δg = 5 min, leakage preset threshold L th =0.02 mol / min;

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

[0068] At time t-Δg: 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 follows:

[0070] The negative sign indicates a decrease in concentration / leakage. L = 0.032 > 0.02, indicating a leakage risk, and an internal environmental leakage signal S is generated. i It will trigger linked analysis, but is not limited to this. The specific adjustments will be made based on actual needs and collected parameters.

[0071] The linkage analysis steps of the indoor air risk analysis module are as follows: The abnormal ambient air pressure signal S... p Internal environment leakage signal S i External environment early warning signal S ext Temperature and humidity affect signal S ht By integrating multiple dimensions, the comprehensive risk index R is obtained through conversion using a comprehensive risk index model: The comprehensive risk index model is as follows:

[0072]

[0073] Where Sd represents the quantization value of each individual 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 weighting coefficient of each signal; the preset index range level table, which has been analyzed and stored based on historical data, is retrieved from the real-time acquisition ring network monitoring platform and compared with the comprehensive risk index R. The preset index 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 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 processing module. When it is medium risk, the gas replenishment device is automatically activated to maintain stable internal air pressure.

[0076] When R≥R2, it indicates high risk and is sent to the emergency control decision processing module. When the risk is high, 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 response and decision-making module executes a tiered response mechanism.

[0078] Combining Embodiments 1 and 2, this invention achieves multi-source data fusion monitoring of the internal and external environment of the ring main unit by combining a real-time data acquisition and storage module, solving the problem of the one-sidedness of single-parameter monitoring and improving the accuracy of leakage risk identification; it achieves second-level data processing and minute-level risk warning through real-time algorithms, shortening fault response time; it establishes a hierarchical emergency response mechanism based on a comprehensive risk index to accurately handle different risks, ensuring equipment safety while reducing operation and maintenance costs; it dynamically corrects environmental interference through comprehensive temperature and humidity impact analysis, enhancing the system's environmental robustness; and it forms an intelligent closed-loop management system from data acquisition to emergency handling, reducing manual intervention, improving the intelligent operation and maintenance level of the power distribution network, and providing an efficient and comprehensive solution for gas leakage monitoring of environmentally friendly ring main units.

[0079] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

[0080] In the description of this specification, the references to terms such as "an embodiment," "example," and "specific example" indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described can be combined in any suitable manner in one or more embodiments or examples. The joint real-time data acquisition and storage module adopts the following hardware configuration: the external environment gas concentration sensor can be a Honeywell XCD gas detector with an accuracy of ±2%FS, acquiring the concentration of gases such as oxygen and nitrogen in real time; the temperature and humidity sensor is a Swiss Rozhonic HC2A-S type, with a temperature measurement range of -40 to 80°C and a humidity measurement range of 0 to 100%RH; the internal environment air pressure sensor is a US MEAS MS5803 type with an accuracy of ±0.01%FS, acquiring air pressure data; the gas component sensor is an Agilent 7890B gas chromatograph, monitoring the concentration of each component of the SF6 substitute gas in real time; however, this is not a limitation, and specific replacements may be made according to actual use.

[0081] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A gas leak monitoring system for environmentally friendly ring main units, characterized in that, This includes a real-time data acquisition and monitoring platform, which is connected to a joint real-time data acquisition and storage module, an external ambient air dynamic analysis module, an internal ambient air risk analysis module, and an emergency control decision processing module. The joint data real-time acquisition and storage module continuously acquires the external and internal environmental parameters of the ring network cabinet in stages based on the timeline. After preprocessing, the parameters are stored in the monitoring platform in time sequence and transmitted to the external environmental gas dynamic analysis module and the internal environmental gas risk analysis module, respectively. The external environment gas dynamic analysis module generates gas state abnormality signals and temperature and humidity influence signals based on external environment parameters, and sends them to the internal environment gas risk analysis module and emergency control decision processing module. The internal environment air 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 based on the risk level signal. The operation steps of the joint data real-time acquisition and storage module are as follows: By deploying sensor arrays outside the ring network cabinet, real-time data on external environmental gas concentration, temperature, and humidity are collected to construct external environmental parameters. Similarly, internal environmental parameters are constructed by collecting internal environmental air pressure and concentration data of various gas components using built-in sensor arrays. Noise reduction processing is performed on the raw data parameters, and outliers are filtered using a sliding window algorithm to generate a continuous and smooth data stream. The processed data is indexed by timestamp and stored in the distributed database of the monitoring platform, and simultaneously pushed to the external environmental gas dynamic analysis module and the internal environmental gas risk analysis module. The operation steps of the external environment air dynamic analysis module are as follows: Based on time-series data of ambient gas concentrations, the magnitude of concentration change per unit time is calculated to determine whether abnormal fluctuations exist. Simultaneously, temperature and humidity data are combined to analyze the comprehensive impact of environmental parameters on gas stability. If the concentration change exceeds the warning threshold or the combined effect of temperature and humidity exceeds the safe range, an ambient environmental warning signal is generated. Including information sources on the impact of temperature and humidity, and external environmental early warning signals. Send to the internal environment gas risk analysis module and the emergency control decision processing module; The steps for analyzing the combined effects of temperature and humidity in the external environment dynamic analysis module are as follows: Real-time temperature and humidity data are compared with preset optimal environmental parameters to calculate parameter deviation. A comprehensive temperature and humidity impact index is generated using a weighted summation model. If the index exceeds a critical value, it is determined that the environmental conditions have a significant impact on gas stability, thus confirming the data source of temperature and humidity impact information and generating a temperature and humidity impact signal. And send it to the internal environment gas risk analysis module.

2. The gas leakage monitoring system for environmentally friendly ring main units according to claim 1, characterized in that, The operation steps of the internal environment gas risk analysis module are as follows: Real-time monitoring of indoor air pressure changes, calculation of the rate of pressure change per unit time, and analysis of characteristic gas concentration variation patterns based on gas component concentration data; if the rate of pressure change or characteristic gas concentration change exceeds the normal range, an abnormal indoor air pressure signal is generated. .

3. The gas leakage monitoring system for environmentally friendly ring main units according to claim 2, characterized in that, The leakage rate calculation steps for the internal environment gas risk analysis module are as follows: Based on the ideal gas state equation obtained from the real-time acquisition ring network monitoring platform, and combined with real-time air pressure, gas concentration, 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 gaseous substances per unit time is derived, and then the leakage rate is calculated. If the leakage rate exceeds the preset leakage threshold, a gas leakage risk is determined, and an internal environment leakage signal is generated. .

4. The gas leakage monitoring system for environmentally friendly ring main units according to claim 3, characterized in that, The linkage analysis steps of the internal environment gas risk analysis module are as follows: Abnormal ambient air pressure signal Internal environment leakage signal External environmental early warning signals Temperature and humidity affect the signal Multi-dimensional integration is carried out, and the comprehensive risk index R is obtained by conversion through the comprehensive risk index model. The preset index range level table is retrieved from the real-time data collection ring network monitoring platform and compared with the comprehensive risk index R to generate the corresponding risk signal and send it to the emergency control decision processing module.

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