Gas fire extinguishing system monitoring and early warning method, system, equipment and medium

Abstract

The invention relates to the technical field of monitoring and early warning, in particular to a gas fire extinguishing system monitoring and early warning method, system and equipment and a medium. According to the method, firstly, pressure and threshold data are collected according to a fixed time interval, and abnormal fluctuation is recognized by calculating a pressure difference value; when an abnormality is found, performing linear regression analysis by using historical data of abnormal fluctuation to obtain a pressure change trend line; intersection points of the trend line and the high-voltage threshold line or the low-voltage threshold line are calculated to correspond to a high-voltage risk point and a leakage risk point respectively, so that the remaining time of possible failure of the system is accurately predicted; and finally, according to the length of the prediction time, graded early warning information is sent out in time. According to the method, passive monitoring alarm is converted into active prediction early warning, and the problem of influence of temperature on pressure is effectively solved by introducing the concept of a real-time threshold value, so that early warning is more accurate and reliable, and sufficient preparation time is provided for system maintenance.

Description

Technical Field

[0001] The present application relates to the technical field of monitoring and early warning, and in particular to a method, system, equipment and medium for monitoring and early warning of a gas fire extinguishing system. Background Art

[0002] Gas fire extinguishing system is an important fire-fighting equipment that extinguishes fires by storing and releasing inert gas or chemical fire extinguishing agents. Such systems are widely used in important places such as computer rooms, communication rooms, and power distribution rooms. The reliability and effectiveness of the system are of great significance to protecting important assets and ensuring the safety of personnel. At the same time, the regular inspection and replacement of gas tanks are directly related to the effectiveness of the fire extinguishing system.

[0003] At present, the gas fire extinguishing system generally uses a pointer pressure gauge to indicate the real-time pressure of the gas tank. The pressure gauge is divided into a green zone and a red zone. When the pressure gauge pointer is in the green zone, it indicates that the pressure in the gas tank is normal. When the pressure gauge pointer enters the low-pressure red zone, it indicates that the gas tank is leaking excessively and the fire extinguishing system has failed. When the pressure gauge pointer enters the high-pressure red zone, it indicates that the gas tank pressure is too high and there is a risk of explosion. The integrity of the fire extinguishing device is achieved through regular manual inspections. When manual inspections find that the gas tank is leaking, it means that the fire extinguishing system may have been operating in failure for some time, which may be as long as several months (depending on the inspection cycle).

[0004] In recent years, gas fire extinguishing systems have begun to use pressure sensors to monitor the pressure of gas tanks in real time and set fixed upper and lower pressure alarm thresholds. When the detected pressure value exceeds the threshold range, the system will issue an alarm signal to prompt the operation and maintenance personnel to check, handle or replace the gas tank.

[0005] However, the existing gas fire extinguishing device monitoring system can only trigger an alarm when the pressure reaches a critical value. It cannot prepare in advance the equipment, personnel and spare parts required for maintenance, overhaul or replacement of equipment, resulting in a lack of planning for maintenance, overhaul and replacement work, which directly affects the continued effectiveness of the system and brings great safety risks to certain industries such as subways, metallurgy, petrochemicals, etc. that cannot arbitrarily stop work and production. Summary of the invention

[0006] In order to solve the problem that the existing gas fire extinguishing system cannot prepare the personnel and spare parts required for replacement in advance, resulting in a lack of planning for replacement work, the present application provides a gas fire extinguishing system monitoring and early warning method, system, equipment and medium, which adopts the following technical solutions: In a first aspect, the present application provides a gas fire extinguishing system monitoring and early warning method, comprising the following steps: Sampling at preset time intervals to obtain real-time pressure value, real-time high pressure threshold, real-time low pressure threshold and real-time time; Calculate the pressure difference between two adjacent real-time pressure values ​​according to the real-time moment, and compare the pressure difference with a preset pressure fluctuation determination threshold to determine whether pressure fluctuation occurs; When it is determined that pressure fluctuation occurs, the real-time pressure value, the real-time high pressure threshold, the real-time low pressure threshold and the real-time time are recorded, and linear regression is performed respectively to obtain an actual pressure regression line, a high pressure threshold regression line and a low pressure threshold regression line; Calculate a first intersection point of the actual pressure regression line with the high pressure threshold regression line or a second intersection point of the actual pressure regression line with the low pressure threshold regression line to obtain a predicted remaining time to a fault time point; According to the comparison result of the predicted remaining time and the preset warning duration level, a warning message of the corresponding level is determined and issued.

[0007] By adopting the above technical solution, in order to solve the problem that the gas fire extinguishing system is difficult to predict the pressure change trend, and considering the impact of temperature changes on pressure, the existing technology can only issue an alarm when the pressure reaches a fixed threshold. This passive monitoring method has serious shortcomings; for example, when a small leak occurs in the gas storage tank, the pressure may slowly but continuously drop to the low pressure threshold; or when the ambient temperature rises, the pressure may gradually rise to the high pressure threshold. If it is not discovered until the pressure reaches the alarm threshold, it is often too late, not only missing the best maintenance opportunity, but also endangering system safety and production safety; the present application first collects pressure and Threshold data, by calculating the pressure difference to identify abnormal fluctuations; when an abnormality is found, the historical data of abnormal fluctuations is used for linear regression analysis to obtain the pressure change trend line; by calculating the intersection of the trend line with the high-pressure threshold line or the low-pressure threshold line, which corresponds to the high-pressure risk point and the leakage risk point respectively, the remaining time of possible system failure can be accurately predicted; finally, according to the length of the predicted time, graded early warning information is issued in time; not only the transition from passive monitoring to active early warning is realized, but also by introducing the concept of real-time threshold, the problem of temperature affecting pressure is effectively solved, making the early warning more accurate and reliable, and providing sufficient preparation time for system maintenance, overhaul and replacement.

[0008] Optionally, after sampling and obtaining the real-time pressure value at a preset time interval, the method further includes the following steps: According to the upper and lower temperature limits of the preset ambient temperature range, the system pressure boundary value is calculated by the preset temperature-pressure conversion curve, where: The system minimum pressure boundary value is obtained by substituting the lower limit temperature into the temperature-pressure conversion curve and multiplying it by the system lower limit coefficient; The maximum pressure boundary value of the system is obtained by substituting the upper limit temperature into the temperature-pressure conversion curve and multiplying it by the system upper limit coefficient; Determine whether the real-time pressure value is within the range of the system maximum pressure boundary value and the system minimum pressure boundary value; If the real-time pressure value is not within the range of the system maximum pressure boundary value and the system minimum pressure boundary value, an out-of-bounds alarm message is directly issued.

[0009] By adopting the above technical solution, the present application first determines the upper and lower limits of the temperature range allowed by the system, then calculates the corresponding pressure value through the temperature-pressure conversion curve, and introduces the system upper and lower limit coefficients for correction to obtain accurate pressure boundary values; when the real-time pressure value is detected to exceed this dynamic range, the system immediately issues an out-of-bounds alarm, thereby improving the reliability and safety of the system.

[0010] Optionally, sampling at preset time intervals to obtain a real-time pressure value, a real-time high pressure threshold, a real-time low pressure threshold, and a real-time time specifically includes the following steps: Sampling at preset time intervals to obtain real-time pressure value, real-time temperature value and real-time time; Calculating a reference pressure value according to the real-time temperature value and a preset temperature-pressure conversion curve, wherein the temperature-pressure conversion curve is obtained according to the relationship between temperature and pressure under fixed gas composition conditions in a fixed space in the Clapeyron equation; Calculate a maximum pressure value and a minimum pressure value according to the reference pressure value, wherein the maximum pressure value is the reference pressure value multiplied by a first preset coefficient, and the minimum pressure value is the reference pressure value multiplied by a second preset coefficient; A real-time high pressure threshold and a real-time low pressure threshold are calculated based on the maximum pressure value, the minimum pressure value and the real-time pressure value, wherein the real-time high pressure threshold is the maximum pressure value minus the real-time pressure value multiplied by the pressure gauge accuracy, and the real-time low pressure threshold is the minimum pressure value plus the real-time pressure value multiplied by the pressure gauge accuracy.

[0011] By adopting the above technical scheme, the prior art often uses empirical values ​​or fixed ratios to set pressure thresholds, resulting in insufficient monitoring accuracy; the present application first collects real-time pressure values, temperature values ​​and time information at fixed time intervals; then calculates the theoretical reference pressure value at the current temperature based on the temperature-pressure conversion curve established based on the Clapeyron equation; amplifies and reduces the reference pressure value by introducing a preset coefficient to obtain a scientific and reasonable pressure fluctuation range; finally, considering the accuracy error of the pressure gauge, dynamically calculates the real-time high and low pressure thresholds; makes monitoring more accurate and reliable, solves the shortcomings of the traditional empirical threshold setting method, and provides a guarantee for the safe operation of the system.

[0012] Optionally, the calculation process of the pressure fluctuation determination threshold comprises the following steps: Get sensor range, sensor accuracy and sensor real-time value; According to the preset determination coefficient, the real-time value of the sensor, the sensor range and the sensor accuracy, the pressure fluctuation determination threshold ΔC is calculated, ΔC=k×(P / F)×Ac÷100, wherein k is the preset determination coefficient, P is the real-time value of the sensor, F is the sensor range, and Ac is the sensor accuracy.

[0013] By adopting the above technical scheme, the traditional method, when using the same fixed threshold, may be too loose when the pressure is high and fail to detect small leaks in time, and may be too strict and cause misjudgment when the pressure is low; the present application first obtains the basic parameter information of the sensor, including the range, accuracy and real-time measurement value; then introduces the mathematical formula ΔC=k×(P / F)×Ac÷100, which takes into account the ratio of the sensor's real-time value to the range, and combines the sensor accuracy and the preset determination coefficient to dynamically calculate the fluctuation determination threshold that best suits the current working state, which not only takes into account the performance parameters of the sensor, but also provides a flexible adjustment method by introducing the preset determination coefficient, making the fluctuation determination more accurate and reliable, and improving the detection sensitivity and accuracy of the system.

[0014] Optionally, the linear regression specifically includes the following steps: Recording the fluctuating real-time pressure value, the real-time high pressure threshold, the real-time low pressure threshold and the real-time time into a data set; When the number of data points in the data set exceeds a preset number, deleting the first recorded data point in the data set; The data points in the data set are used to perform linear regression to obtain the actual pressure regression line, the high pressure threshold regression line and the low pressure threshold regression line.

[0015] By adopting the above technical scheme, in the prediction of pressure change trend of gas fire extinguishing system, if all historical data are used for analysis, not only the amount of calculation is large, but also it is easily affected by the fluctuation of historical data, resulting in the prediction result deviating from the actual trend; the present application first records the real-time fluctuating pressure value, high and low pressure thresholds and time information into the data set; when the number of data points exceeds the preset limit, the first-in-first-out principle is adopted to automatically delete the earliest data point to ensure that the data set is always kept up to date; then linear regression is performed using this dynamically updated data set to obtain the pressure regression line and threshold regression line reflecting the current trend respectively; not only the calculation burden is reduced, but also the regression results more accurately reflect the real-time change trend of the system, providing a more reliable data basis for predicting the remaining time, and significantly improving the accuracy and timeliness of system warnings.

[0016] Optionally, determining and issuing a warning message of a corresponding level specifically includes the following steps: When the predicted remaining time is less than or equal to the preset first-level warning duration and greater than the preset second-level warning duration, a first-level warning message is issued; When the predicted remaining time is less than or equal to the preset second-level warning duration and greater than the preset third-level warning duration, a second-level warning message is issued; When the predicted remaining time is less than or equal to the preset third-level warning duration, a third-level warning message is issued.

[0017] By adopting the above technical scheme, this application divides the warning into three levels: a first-level warning is issued when the predicted remaining time is between the first-level and second-level warning durations, indicating that attention should be paid or equipment and materials should be prepared in advance; a second-level warning is issued when the remaining time drops between the second-level and third-level warning durations, indicating that personnel, equipment, tools, work orders, etc. need to be prepared for maintenance, overhaul or replacement; a third-level warning is issued when the remaining time is lower than the third-level warning duration, indicating that immediate disposal is required; through the multi-level warning mechanism, not only a clear indication of the urgency of the fault is provided, but also by reasonably setting the warning duration threshold, sufficient response time is reserved for equipment management personnel, effectively improving the pertinence and efficiency of system maintenance, reducing maintenance costs, ensuring the continuous and reliable operation of the system, and eliminating the ineffective operation of the fire extinguishing system.

[0018] Optionally, the method further comprises the following steps: When the real-time pressure value is lower than the real-time low-pressure threshold, the system enters a low-pressure alarm state; in the low-pressure alarm state, when the real-time pressure value is greater than or equal to the low-pressure hysteresis threshold, the system switches from the low-pressure alarm state to a normal state; When the real-time pressure value is higher than the real-time high-pressure threshold, the system enters a high-pressure alarm state; in the high-pressure alarm state, when the real-time pressure value is less than or equal to the high-pressure hysteresis threshold, the system switches from the high-pressure alarm state to a normal state; The low-pressure hysteresis threshold is greater than the low-pressure threshold, and the high-pressure hysteresis threshold is less than the high-pressure threshold.

[0019] By adopting the above-mentioned technical scheme, in order to solve the problem of frequent jitters in the gas fire extinguishing system when switching the pressure state; for example, when the system pressure value fluctuates near the low-pressure threshold, even if the fluctuation amplitude is very small, it will cause the system to frequently enter and exit the alarm state, which not only affects the system stability, but also interferes with the normal work of the maintenance personnel; the present application adopts different judgment criteria when entering and exiting the alarm state: when the pressure is lower than the low-pressure threshold, it enters the low-pressure alarm state, and only when the pressure rises to higher than the low-pressure hysteresis threshold will it exit the alarm state; similarly, when the pressure is higher than the high-pressure threshold, it enters the high-pressure alarm state, and only when the pressure drops below the high-pressure hysteresis threshold will it return to normal; through the state switching mechanism based on the hysteresis threshold, not only the frequent switching of the alarm state is effectively avoided, but also by reasonably setting the hysteresis interval, a more stable system operation state is provided, which significantly improves the system reliability and user experience, and reduces the false alarm rate and maintenance cost.

[0020] In a second aspect, the present application provides a gas fire extinguishing system monitoring and early warning system, comprising: A data acquisition module, used to obtain real-time pressure value, real-time high pressure threshold, real-time low pressure threshold and real-time time by sampling at preset time intervals; A fluctuation determination module, used for calculating a pressure difference between two adjacent real-time pressure values ​​according to the real-time moment, and comparing the pressure difference with a preset pressure fluctuation determination threshold to determine whether a pressure fluctuation occurs; An analysis and processing module, for recording the real-time pressure value, the real-time high pressure threshold, the real-time low pressure threshold and the real-time time when it is determined that pressure fluctuation occurs, and performing linear regression respectively to obtain an actual pressure regression line, a high pressure threshold regression line and a low pressure threshold regression line; A prediction calculation module, used to calculate a first intersection point of the actual pressure regression line and the high pressure threshold regression line or a second intersection point of the actual pressure regression line and the low pressure threshold regression line to obtain a predicted remaining time to a fault time point; The warning output module is used to determine and issue warning information of the corresponding level according to the comparison result of the predicted remaining time and the preset warning duration level.

[0021] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned gas fire extinguishing system monitoring and early warning method when executing the computer program.

[0022] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned gas fire extinguishing system monitoring and early warning method are implemented.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: 1. The present application first collects pressure and temperature data at fixed time intervals, and identifies abnormal fluctuations by calculating the pressure difference; when an abnormality is found, a linear regression analysis is performed using the historical data of the abnormal fluctuation to obtain a pressure change trend line; the intersection of the trend line and the high-pressure threshold line or the low-pressure threshold line is calculated, corresponding to the high-pressure risk point and the leakage risk point, respectively, so as to accurately predict the remaining time when the system may fail; finally, according to the length of the predicted time, hierarchical warning information is issued in a timely manner; not only the transition from passive monitoring to active warning is realized, but also the problem of the influence of temperature on pressure is effectively solved by introducing the concept of real-time threshold, making the warning more accurate and reliable, providing sufficient preparation time for system maintenance, and preventing the ineffective operation of the fire extinguishing system; 2. The existing technology often uses empirical values ​​or fixed ratios to set pressure thresholds, resulting in insufficient monitoring accuracy. The present application first collects real-time pressure values, temperature values ​​and time information at fixed time intervals; then calculates the theoretical reference pressure value at the current temperature based on the temperature-pressure conversion curve established by the Clapeyron equation; amplifies and reduces the reference pressure value by introducing a preset coefficient to obtain a scientific and reasonable pressure fluctuation range; finally, considering the accuracy error of the pressure gauge, dynamically calculates the real-time high and low pressure thresholds; makes monitoring more accurate and reliable, solves the shortcomings of the traditional empirical threshold setting method, and provides a guarantee for the safe operation of the system; 3. When the traditional method uses the same fixed threshold, it may be too loose when the pressure is high and fail to detect small leaks in time, and it may be too strict when the pressure is low and cause misjudgment; the present application first obtains the basic parameter information of the sensor, including the range, accuracy and real-time measurement value; then introduces the mathematical formula ΔC=k×(P / F)×Ac÷100, which takes into account the ratio of the sensor's real-time value to the range, and combines the sensor accuracy and the preset determination coefficient to dynamically calculate the fluctuation determination threshold that best suits the current working state. It not only takes into account the performance parameters of the sensor, but also provides a flexible adjustment method by introducing the preset determination coefficient, making the fluctuation determination more accurate and reliable, and improving the detection sensitivity and accuracy of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of a gas fire extinguishing system monitoring and early warning method according to an embodiment of the present application; Figure 2 It is a schematic diagram of linear regression in a gas fire extinguishing system monitoring and early warning method in an embodiment of the present application; Figure 3 It is a schematic diagram of issuing an out-of-bounds alarm in a gas fire extinguishing system monitoring and early warning method according to an embodiment of the present application; Figure 4It is a schematic diagram of step S110 in a gas fire extinguishing system monitoring and early warning method according to an embodiment of the present application; Figure 5 It is a schematic diagram of step S120 in a gas fire extinguishing system monitoring and early warning method according to an embodiment of the present application; Figure 6 It is a schematic diagram of step S130 in a gas fire extinguishing system monitoring and early warning method according to an embodiment of the present application; Figure 7 is a schematic diagram of step S150 in a gas fire extinguishing system monitoring and early warning method according to an embodiment of the present application; Figure 8 It is a schematic diagram of hierarchical warning in a gas fire extinguishing system monitoring and early warning method in an embodiment of the present application; Fig. 9 It is a schematic diagram of a hysteresis mechanism in a gas fire extinguishing system monitoring and early warning method according to an embodiment of the present application; Fig.10 This is a module diagram of a gas fire extinguishing system monitoring and early warning system according to an embodiment of the present application; Fig.11 It is a diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0026] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0027] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0028] In the first aspect, the present application provides a gas fire extinguishing system monitoring and early warning method, referring to Figure 1 , including the following steps: S110, sampling at preset time intervals to obtain a real-time pressure value, a real-time high pressure threshold, a real-time low pressure threshold and a real-time time.

[0029] In this embodiment, based on the pressure monitoring requirements of the gas fire extinguishing system, the system continuously collects data according to a preset sampling period (default 3 seconds). The collected data includes the real-time pressure value P i , Real-time high voltage threshold P 高压阈值i , Real-time low voltage threshold P 低压阈值i and the corresponding time t i , where i represents the sampling number. The real-time pressure value is obtained through a pressure sensor with an accuracy of Ac of 0.5% and a measuring range of 30 MPa.

[0030] Specifically, at the beginning of each sampling period, the system first obtains the ambient temperature T, and then calculates the high-pressure threshold and low-pressure threshold at the current temperature according to the temperature compensation algorithm. At the same time, the current timestamp t is recorded. i And read the real-time pressure value P through the pressure sensor i All collected data will be temporarily stored for subsequent fluctuation determination and linear regression analysis.

[0031] S120, calculating the pressure difference between two adjacent real-time pressure values ​​according to the real time, and comparing the pressure difference with a preset pressure fluctuation determination threshold to determine whether pressure fluctuation occurs.

[0032] In this embodiment, the system determines whether pressure fluctuation occurs by comparing the pressure difference between two adjacent samples. The pressure fluctuation determination threshold ΔC can be preset or dynamically calculated based on the sensor accuracy.

[0033] Specifically, when a new pressure value P is obtained i After that, the system calculates the difference between the pressure value and the previous pressure value |P i -P i-1 |, and compare the difference with the currently calculated pressure fluctuation judgment threshold ΔC. If the pressure difference is greater than or equal to ΔC, it is determined that pressure fluctuation occurs, triggering the subsequent data recording and analysis process; otherwise, the pressure state is considered stable and the original data remains unchanged.

[0034] S130. When it is determined that pressure fluctuation occurs, the real-time pressure value, the real-time high pressure threshold, the real-time low pressure threshold and the real time are recorded, and linear regression is performed to obtain the actual pressure regression line, the high pressure threshold regression line and the low pressure threshold regression line.

[0035] In this embodiment, when pressure fluctuations are detected, the system starts the data recording and linear regression analysis process. Each set of data includes a real-time pressure value, a high pressure threshold, a low pressure threshold and a corresponding timestamp.

[0036] Specifically, refer to Figure 2The system uses the recorded valid data to perform linear regression calculations and obtains three regression lines: the actual pressure regression line PT, the high pressure threshold regression line P u -T and low pressure threshold regression line P l -T. The least squares method is used for regression calculation to ensure that the regression line can best fit the observed data and accurately reflect the pressure change trend.

[0037] S140. Calculate a first intersection point of the actual pressure regression line and the high pressure threshold regression line or a second intersection point of the actual pressure regression line and the low pressure threshold regression line to obtain a predicted remaining time.

[0038] In this embodiment, the system predicts two critical states of the system by calculating the intersection of the regression lines: the underpressure state caused by gas cylinder leakage and the overpressure state caused by temperature rise. Specifically, the actual pressure regression line PT and the low pressure threshold regression line P l -T intersection point (second intersection point) is used to predict the time point when the gas cylinder leaks and needs to be replaced, and the high pressure threshold regression line P u The intersection point of -T (the first intersection point) is used to predict the time point of the gas cylinder explosion danger caused by the increase in ambient temperature. By analyzing the slope of the actual pressure regression line PT, the changing trend of the system pressure can be judged: when the slope is negative, it indicates the risk of gas cylinder leakage; when the slope is positive, it indicates the risk of overpressure caused by temperature increase. The system calculates the regression line P with the low pressure threshold according to different risk types. l -T or high pressure threshold regression line P u -T, thus predicting the time point T when the system reaches the critical state f .

[0039] Specifically, the system first calculates the slope of the actual pressure regression line PT. When the slope is negative, it indicates that the pressure continues to drop. The system calculates the intersection with the low-pressure threshold regression line. This time point indicates that the cylinder pressure will drop to a point that does not meet the fire extinguishing effectiveness requirements and must be repaired, refilled or replaced. When the slope is positive, it indicates that the pressure continues to rise. The system calculates the intersection with the high-pressure threshold regression line. This time point indicates that the cylinder pressure will reach the critical time when there is an explosion risk. The predicted remaining time ΔT is equal to the time T corresponding to the intersection f Subtract the current time T n (ΔT=T f -T n ). This prediction mechanism based on pressure change trends can accurately identify the specific risk types faced by the system, provide corresponding warning time, and guide equipment managers to take corresponding treatment measures in a targeted manner.

[0040] S150: Determine and issue a warning message of a corresponding level based on a comparison result between the predicted remaining time and a preset warning duration level.

[0041] In this embodiment, the system implements graded warnings based on the predicted remaining time ΔT. The setting of these time thresholds takes into account factors such as product delivery cycle, maintenance preparation time, and actual construction time, and can help equipment managers reasonably arrange the priority and progress of maintenance, repair, replacement, etc.

[0042] In one embodiment, referring to Figure 3 In step S110, after sampling and obtaining the real-time pressure value at a preset time interval, the method further includes the following steps: S310, calculating the system pressure boundary value according to the upper limit temperature and the lower limit temperature of the preset operating environment temperature range through a preset temperature-pressure conversion curve.

[0043] Among them, the system minimum pressure boundary value is obtained by substituting the lower limit temperature into the temperature-pressure conversion curve and multiplying it by the system lower limit coefficient; the system maximum pressure boundary value is obtained by substituting the upper limit temperature into the temperature-pressure conversion curve and multiplying it by the system upper limit coefficient.

[0044] In this embodiment, the system establishes the corresponding relationship between temperature and pressure through the temperature-pressure conversion curve to determine the safety boundary of the system pressure. The temperature-pressure conversion curve is established based on the Clapeyron equation (pV=nRT), which describes the relationship between temperature and pressure under fixed space and fixed gas composition conditions. The temperature range set by the system is usually -10°C to 60°C, which covers the temperature changes that the gas fire extinguishing system may encounter in actual applications.

[0045] Specifically, the system sets the lower limit coefficient to 0.92 and the upper limit coefficient to 1.08. The system substitutes the lower limit temperature -10℃ into the temperature-pressure conversion curve (y=0.0739005x+13.5099608) and multiplies it by the system lower limit coefficient 0.92, and obtains the system minimum pressure boundary value of 11.75MPa; substitutes the upper limit temperature 60℃ into the same curve and multiplies it by the system upper limit coefficient 1.08, and obtains the system maximum pressure boundary value of 19.38MPa. These two boundary values ​​constitute the safe operating range of the system pressure. Exceeding this range may cause system failure or safety hazards.

[0046] S320: Determine whether the real-time pressure value is within the range of the system maximum pressure boundary value and the system minimum pressure boundary value.

[0047] S330: If the real-time pressure value is not within the range of the system maximum pressure boundary value and the system minimum pressure boundary value, an out-of-bounds alarm message is directly issued.

[0048] In this embodiment, the system performs safety monitoring by comparing the current pressure value with the pressure boundary value in real time. This boundary detection mechanism is the first line of defense for system safety protection and can quickly detect abnormal conditions.

[0049] Specifically, the system will immediately perform boundary detection after each sampling. If the real-time pressure value is higher than 19.38MPa or lower than 11.75MPa, the system will immediately trigger an out-of-bounds alarm, which has a higher priority than the leak warning. This instant alarm mechanism is mainly used to respond to sudden pressure anomalies, such as severe leakage of gas cylinders or excessive pressure caused by drastic changes in ambient temperature. The out-of-bounds alarm will promptly notify relevant personnel through the system's preset alarm methods (such as sound and light alarms, remote notifications, etc.) to ensure that emergency measures can be taken.

[0050] In one embodiment, referring to Figure 4 In step S110, sampling is performed at preset time intervals to obtain a real-time pressure value, a real-time high pressure threshold, a real-time low pressure threshold and a real-time time, which specifically includes the following steps: S111. Sampling is performed at preset time intervals to obtain real-time pressure values, real-time temperature values ​​and real-time time.

[0051] In this embodiment, the system uses a fixed sampling period (default 3 seconds) to monitor the gas fire extinguishing device. In each sampling period, the system collects the real-time pressure value P through the pressure sensor. 实 , the real-time temperature value T is collected through the temperature sensor (DS18b20) and the current timestamp is recorded at the same time. The installation position of these sensors is optimized, and the temperature sensor is fixed in the open position between the gas cylinders to ensure accurate gas cylinder temperature data.

[0052] Specifically, the system first checks the working status of the sensor to ensure the data reliability of the temperature sensor and pressure sensor. The accuracy of the pressure sensor is 0.5% and the range is 30MPa; the measurement range of the temperature sensor is -10℃ to 60℃, and the temperature difference with the thermocouple measurement value is required to be within the allowable range. The system stores the collected data in a temporary cache to prepare for subsequent pressure compensation calculations.

[0053] S112, calculating a reference pressure value according to the real-time temperature value and a preset temperature-pressure conversion curve.

[0054] The temperature-pressure conversion curve is obtained based on the relationship between temperature and pressure under the condition of fixed gas composition in a fixed space in the Clapeyron equation.

[0055] In this embodiment, the system uses a temperature-pressure conversion curve based on the Clapeyron equation (pV=nRT) for pressure compensation calculation. The curve is obtained through laboratory temperature chamber testing. The test process includes collecting pressure data at different temperature points (-10°C to 60°C) and fitting with a quadratic polynomial to obtain the temperature-pressure conversion curve equation: P mark = aT+b, where a and b are fitting parameters.

[0056] Specifically, the system substitutes the collected real-time temperature value T into the temperature-pressure conversion curve equation to calculate the reference pressure value P at the current temperature. 标 For the IG541 system, taking 20℃ / 15MPa as the reference point, the curve equation obtained by fitting is y=0.0739005x+13.5099608. This compensation mechanism can effectively eliminate the influence of temperature change on pressure value and improve the accuracy of system monitoring.

[0057] S113. Calculate the maximum pressure value and the minimum pressure value according to the reference pressure value.

[0058] The maximum pressure value is the reference pressure value multiplied by a first preset coefficient, and the minimum pressure value is the reference pressure value multiplied by a second preset coefficient.

[0059] In this embodiment, the system is based on the calculated reference pressure value P 标 , combined with the requirements of the national standard "Gas Fire Extinguishing Systems and Components", determine the safe working range of pressure. The first preset coefficient is 1.1, and the second preset coefficient is 0.9. The setting of these coefficients takes into account the safety margin and working reliability of the equipment.

[0060] Specifically, the system calculates the maximum pressure value P 最大 =P 标 ×1.1 and minimum pressure value P 最小 =P 标 ×0.9. Taking the IG541 system as an example, at a reference temperature of 20°C, P 标 is 15MPa, then P 最大 16.5MPa, P 最小 This calculation method ensures that the pressure value always remains within a safe range while taking into account the impact of temperature changes.

[0061] S114. Calculate a real-time high pressure threshold and a real-time low pressure threshold according to the maximum pressure value, the minimum pressure value and the real-time pressure value.

[0062] The real-time high-pressure threshold is the maximum pressure value minus the real-time pressure value multiplied by the pressure gauge accuracy, and the real-time low-pressure threshold is the minimum pressure value plus the real-time pressure value multiplied by the pressure gauge accuracy.

[0063] In this embodiment, the system combines the calculated maximum and minimum pressure values, and considers the pressure gauge accuracy (0.5%) to dynamically calculate the real-time high and low pressure thresholds. This calculation method takes into account the measurement error of the pressure gauge and improves the reliability of monitoring.

[0064] Specifically, the system uses the pressure gauge accuracy compensation formula to calculate the threshold: real-time high pressure threshold = P 最大 -P 实 × 0.5%, real-time low voltage threshold = P 最小 +P 实 ×0.5%. For example, when P 实 When the pressure is 15MPa, considering the 0.5% accuracy of the pressure gauge, the high pressure threshold is 0.075MPa lower than the maximum pressure value, and the low pressure threshold is 0.075MPa higher than the minimum pressure value. This design can avoid false alarms caused by the accuracy error of the pressure gauge.

[0065] In one embodiment, referring to Figure 5 In step S120, the calculation process of the pressure fluctuation determination threshold includes the following steps: S121. Obtain sensor range, sensor accuracy, and sensor real-time value.

[0066] In this embodiment, the system determines the benchmark for pressure fluctuation determination by collecting three key parameters. The sensor range F represents the maximum measurement range of the pressure sensor. The pressure sensor used in this system has a range of 30MPa. The sensor accuracy Ac represents the accuracy of the measured value. The pressure sensor used in this system has an accuracy of 0.5%. The sensor real-time value P is the actual pressure reading obtained during the current sampling period. The accurate acquisition of these three parameters is the basis for achieving accurate fluctuation determination.

[0067] Specifically, the system first verifies the working status of the sensor to ensure the validity of the data. The sensor range F and accuracy Ac are fixed parameters read from the device configuration file when the system is initialized; the sensor real-time value P is obtained through real-time sampling, with a sampling frequency of once every 3 seconds. The system will perform validity checks on the collected real-time values, including value range checks and data continuity checks, to filter out possible abnormal data.

[0068] S122, calculating the pressure fluctuation determination threshold ΔC according to the preset determination coefficient, the real-time value of the sensor, the sensor range and the sensor accuracy.

[0069] Among them, ΔC=k×(P / F)×Ac÷100, k is the preset determination coefficient, P is the real-time value of the sensor, F is the sensor range, and Ac is the sensor accuracy.

[0070] In this embodiment, the system uses a dynamic calculation method to determine the pressure fluctuation judgment threshold ΔC. The preset judgment coefficient k is an empirical parameter, and its value is usually between 0.5 and 3, which is used to adjust the sensitivity of the judgment. The calculation formula ΔC=k×(P / F)×Ac÷100 comprehensively considers the real-time state and performance characteristics of the sensor, and can adaptively adjust the judgment threshold according to different pressure levels. This calculation method can effectively reduce misjudgments caused by pressure fluctuations.

[0071] Specifically, taking the IG541 system as an example, the current pressure value P is 15MPa, the sensor range F is 30MPa, the accuracy Ac is 0.5%, and the preset determination coefficient k is 2.0. The calculated pressure fluctuation determination threshold ΔC=2.0×(15 / 30)×0.5÷100=0.005MPa. This threshold is used as a dynamic reference value to determine whether the system has fluctuated. When the actual pressure change exceeds this threshold, the system will further determine whether there is a fluctuation. This dynamic threshold design not only ensures the sensitivity of the detection, but also avoids too frequent false alarms.

[0072] In one embodiment, referring to Figure 6 In step S130, linear regression specifically includes the following steps: S131. Record the fluctuating real-time pressure value, the real-time high pressure threshold, the real-time low pressure threshold and the real-time time into a data set.

[0073] In this embodiment, the system establishes a dynamic data set to store key data points in the monitoring process. Each data point contains four important parameters: real-time pressure value Preal, real-time high pressure threshold Phigh pressure threshold, real-time low pressure threshold Plow pressure threshold and corresponding timestamp. The collection cycle of these data is 3 seconds, forming continuous time series data. The system stores these data in chronological order to provide basic data support for subsequent trend analysis.

[0074] Specifically, in each sampling cycle, the system first verifies the validity of the data, including whether the pressure value is within the sensor range (0-30MPa), whether the timestamp is continuous, etc. The system stores the verified data in the data set in the format of "timestamp-pressure value-high pressure threshold-low pressure threshold" to ensure the integrity and traceability of the data.

[0075] S132: When the number of data points in the data set exceeds a preset number, delete the first recorded data point in the data set.

[0076] In this embodiment, the system uses a sliding window mechanism to manage the data set, and the preset number of data points is usually set to 6 points. This mechanism can ensure that the data set always contains the latest monitoring data, while avoiding excessive data volume causing excessive burden on the system. When the number of data points exceeds the preset value, the system will automatically delete the earliest data point to achieve dynamic update of data.

[0077] Specifically, the system checks the size of the data set each time a new data point is added. If it reaches 6 points, the oldest data point is deleted and the new data point is added. This first-in-first-out (FIFO) management method ensures the timeliness of the data and provides sufficient historical data support for pressure trend analysis.

[0078] S133. Perform linear regression using the data points in the data set to obtain an actual pressure regression line, a high pressure threshold regression line, and a low pressure threshold regression line.

[0079] In this embodiment, the system uses the least square method or linear regression for analysis, and fits the real-time pressure value, high pressure threshold and low pressure threshold respectively. The linear regression model uses time as the independent variable and pressure value as the dependent variable, that is, P=mt+b, where m is the pressure change rate and b is the initial pressure value. This analysis method can effectively reflect the pressure change trend over time.

[0080] Specifically, the system first standardizes the time series in the data set and converts the timestamp into relative time (in hours). Then, linear regression calculations are performed on the three sets of data (real-time pressure, high pressure threshold, and low pressure threshold) to obtain the slopes and intercepts of the three regression lines. For the IG541 system, if the slope of the actual pressure regression line is negative and the absolute value is greater than the threshold, it indicates that there may be a leak in the system. The system predicts the remaining time for the pressure to reach the warning value based on the slope of the regression line, providing a basis for maintenance decisions. The results of the regression analysis are also used to update the real-time display of the system, so that maintenance personnel can intuitively understand the pressure change trend.

[0081] In one embodiment, referring to Figure 7 In step S150, the corresponding level of warning information is determined and issued, which specifically includes the following steps: S151. When the predicted remaining time is less than or equal to the preset first-level warning duration and greater than the preset second-level warning duration, a first-level warning message is issued.

[0082] S152: When the predicted remaining time is less than or equal to the preset second-level warning duration and greater than the preset third-level warning duration, a second-level warning message is issued.

[0083] S153: When the predicted remaining time is less than or equal to the preset third-level warning duration, a third-level warning message is issued.

[0084] In this embodiment, the system implements graded warnings based on the predicted remaining time ΔT. The warnings are divided into three levels, and the corresponding time thresholds are: Level 1 warning time Lt1 (3 months), Level 2 warning time Lt2 (1 month) and Level 3 warning time Lt3 (1 week). Among them, the Level 1 warning time is determined based on the production and supply cycle of the gas fire extinguishing device; the Level 2 warning time takes into account the time required for maintenance preparation, personnel deployment, equipment preparation, and work ticket processing; the Level 3 warning time is determined based on the actual replacement or maintenance time, on-site support time, and necessary emergency backup time.

[0085] Specifically, refer to Figure 8 , the system compares the predicted remaining time ΔT with the three duration thresholds: when Lt2<ΔT≤Lt1 (between 1 month and 3 months), a first-level warning message is issued to prompt management personnel to start the procurement process to ensure that spare gas cylinders can be in place in time; when Lt3<ΔT≤Lt2 (between 1 week and 1 month), a second-level warning message is issued to notify maintenance personnel to prepare necessary maintenance tools, apply for work tickets, and coordinate maintenance personnel; when ΔT≤Lt3 (less than 1 week), a third-level warning message is issued, requiring maintenance personnel to immediately carry out replacement or maintenance work to ensure the continuous and safe operation of the system. This hierarchical warning mechanism based on the actual operation and maintenance process realizes the full process management from procurement, preparation to execution, and effectively guarantees the timeliness and reliability of maintenance work.

[0086] In one embodiment, referring to Fig. 9 , the method further comprises the following steps: S910. When the real-time pressure value is lower than the real-time low-pressure threshold, the system enters a low-pressure alarm state; in the low-pressure alarm state, when the real-time pressure value is greater than or equal to the low-pressure hysteresis threshold, the system switches from the low-pressure alarm state to the normal state.

[0087] In this embodiment, the system uses a low-pressure alarm mechanism with hysteresis to avoid frequent alarm switching when the pressure value fluctuates near the threshold. When the real-time pressure value P is lower than the real-time low-pressure threshold, the system triggers a low-pressure alarm; but the system will not immediately release the alarm state when the pressure value just exceeds the low-pressure threshold, but requires the pressure value to reach a higher hysteresis threshold (1.02 times the low-pressure threshold) before releasing the alarm. This design provides the necessary buffer space for system state switching.

[0088] Specifically, taking the IG541 system as an example, assuming that the current low pressure threshold is 12.5MPa, the low pressure differential threshold is 12.75MPa (12.5×1.02). When the pressure value drops below 12.5MPa, the system enters the low pressure alarm state. At this time, even if the pressure rises briefly to above 12.5MPa but does not reach 12.75MPa, the system still maintains the alarm state. Only when the pressure value rises steadily to 12.75MPa or above, the system will release the low pressure alarm state. This mechanism effectively prevents alarm jitter caused by pressure fluctuations and improves the stability of system operation.

[0089] S920: When the real-time pressure value is higher than the real-time high-pressure threshold, the system enters the high-pressure alarm state; in the high-pressure alarm state, when the real-time pressure value is less than or equal to the high-pressure hysteresis threshold, the system switches from the high-pressure alarm state to the normal state.

[0090] The low pressure hysteresis threshold is greater than the low pressure threshold, and the high pressure hysteresis threshold is less than the high pressure threshold.

[0091] In this embodiment, the system also uses a hysteresis mechanism to manage the high-pressure alarm. When the real-time pressure value P exceeds the real-time high-pressure threshold, the system enters the high-pressure alarm state; to release the high-pressure alarm state, the pressure value must drop below the high-pressure hysteresis threshold (0.98 times the high-pressure threshold). This asymmetric hysteresis design takes into account the physical characteristics of pressure changes and the system safety margin requirements.

[0092] Specifically, taking the IG541 system as an example, if the current high-pressure threshold is 18.6MPa, the high-pressure hysteresis threshold is 18.23MPa (18.6×0.98). When the system pressure exceeds 18.6MPa and triggers the high-pressure alarm, the system will maintain the high-pressure alarm state even if the pressure drops below 18.6MPa for a short time but is still above 18.23MPa. The system will only release the high-pressure alarm state when the pressure value stably drops below 18.23MPa. This design not only avoids frequent state switching, but also provides the necessary buffer time for stable control of system pressure.

[0093] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0094] In a second aspect, the present application provides a gas fire extinguishing system monitoring and early warning system. The gas fire extinguishing system monitoring and early warning system of the present application is described below in combination with the above-mentioned gas fire extinguishing system monitoring and early warning method.

[0095] Reference Fig.10 , a gas fire extinguishing system monitoring and early warning system, comprising: A data acquisition module, used to obtain real-time pressure value, real-time high pressure threshold, real-time low pressure threshold and real-time time by sampling at preset time intervals; A fluctuation determination module, used to calculate the pressure difference between two adjacent real-time pressure values ​​according to the real time, and compare the pressure difference with a preset pressure fluctuation determination threshold to determine whether pressure fluctuation occurs; An analysis and processing module, for recording the real-time pressure value, the real-time high pressure threshold, the real-time low pressure threshold and the real time when it is determined that a pressure fluctuation occurs, and performing linear regression respectively to obtain an actual pressure regression line, a high pressure threshold regression line and a low pressure threshold regression line; A prediction calculation module, used to calculate a first intersection point of an actual pressure regression line and a high pressure threshold regression line or a second intersection point of an actual pressure regression line and a low pressure threshold regression line to obtain a predicted remaining time; The warning output module is used to determine and issue warning information of the corresponding level based on the comparison result between the predicted remaining time and the preset warning duration level.

[0096] In one embodiment, a boundary detection module is further included, which is used to: after obtaining the real-time pressure value: According to the upper and lower temperature limits of the preset ambient temperature range, the system pressure boundary value is calculated by the preset temperature-pressure conversion curve, where: The system minimum pressure boundary value is obtained by substituting the lower limit temperature into the temperature-pressure conversion curve and then multiplying it by the system lower limit coefficient; The maximum pressure boundary value of the system is obtained by substituting the upper limit temperature into the temperature-pressure conversion curve and multiplying it by the system upper limit coefficient; Determine whether the real-time pressure value is within the range of the system maximum pressure boundary value and the system minimum pressure boundary value; If the real-time pressure value is not within the range of the system maximum pressure boundary value and the system minimum pressure boundary value, an out-of-bounds alarm message will be directly issued.

[0097] In one embodiment, the data acquisition module includes: A sampling unit, used to sample at preset time intervals to obtain real-time pressure values, real-time temperature values ​​and real-time time; A pressure calculation unit, used to calculate a reference pressure value according to a real-time temperature value and a preset temperature-pressure conversion curve, wherein the temperature-pressure conversion curve is obtained according to the relationship between temperature and pressure under a fixed gas composition condition in a fixed space in the Clapeyron equation; A threshold generation unit, for: Calculate a maximum pressure value and a minimum pressure value according to the reference pressure value, wherein the maximum pressure value is the reference pressure value multiplied by a first preset coefficient, and the minimum pressure value is the reference pressure value multiplied by a second preset coefficient; According to the maximum pressure value, the minimum pressure value and the real-time pressure value, the real-time high pressure threshold and the real-time low pressure threshold are calculated, where the real-time high pressure threshold is the maximum pressure value minus the real-time pressure value multiplied by the pressure gauge accuracy, and the real-time low pressure threshold is the minimum pressure value plus the real-time pressure value multiplied by the pressure gauge accuracy.

[0098] In one embodiment, the fluctuation determination module includes: A parameter acquisition unit, used to obtain the sensor range, sensor accuracy and sensor real-time value; The threshold calculation unit is used to calculate the pressure fluctuation judgment threshold ΔC according to the preset judgment coefficient, the real-time value of the sensor, the sensor range and the sensor accuracy, where ΔC=k×(P / F)×Ac÷100, wherein k is the preset judgment coefficient, P is the real-time value of the sensor, F is the sensor range, and Ac is the sensor accuracy.

[0099] In one embodiment, the analysis processing module includes: A data recording unit, for recording the real-time pressure value, the real-time high pressure threshold, the real-time low pressure threshold and the real-time time into a data set; A data updating unit, used for deleting the first recorded data point in the data set when the number of data points in the data set exceeds a preset number; The regression processing unit is used to perform linear regression using the data points in the data set to obtain an actual pressure regression line, a high pressure threshold regression line, and a low pressure threshold regression line.

[0100] In one embodiment, the warning output module includes: The first-level warning unit is used to issue a first-level warning message when the predicted remaining time is less than or equal to the preset first-level warning duration and greater than the preset second-level warning duration; The second-level warning unit is used to issue a second-level warning message when the predicted remaining time is less than or equal to the preset second-level warning duration and greater than the preset third-level warning duration; The third-level warning unit is used to issue a third-level warning message when the predicted remaining time is less than or equal to the preset third-level warning duration.

[0101] In one embodiment, a state control module is further included, which is used to: When the real-time pressure value is lower than the real-time low-pressure threshold, the system enters the low-pressure alarm state; when the real-time pressure value is greater than or equal to the low-pressure hysteresis threshold, the system switches from the low-pressure alarm state to the normal state; When the real-time pressure value is higher than the real-time high-pressure threshold, the system enters the high-pressure alarm state; when the real-time pressure value is less than or equal to the high-pressure hysteresis threshold, the system switches from the high-pressure alarm state to the normal state; The low pressure hysteresis threshold is greater than the low pressure threshold, and the high pressure hysteresis threshold is less than the high pressure threshold.

[0102] In one embodiment, the present application provides an electronic device, which may be a server, and its internal structure diagram may be as follows: Fig.11 As shown. The electronic device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a gas fire extinguishing system monitoring and early warning method is implemented.

[0103] Those skilled in the art will understand that Fig.11 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0104] In one embodiment, an electronic device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0105] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the above-mentioned computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0106] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A gas fire extinguishing system monitoring and early warning method, characterized in that: The steps include: Sampling at preset time intervals to obtain real-time pressure value, real-time high pressure threshold, real-time low pressure threshold and real-time time; Calculate the pressure difference between two adjacent real-time pressure values ​​according to the real-time moment, and compare the pressure difference with a preset pressure fluctuation determination threshold to determine whether pressure fluctuation occurs; When it is determined that pressure fluctuation occurs, the real-time pressure value, the real-time high pressure threshold, the real-time low pressure threshold and the real-time time are recorded, and linear regression is performed respectively to obtain an actual pressure regression line, a high pressure threshold regression line and a low pressure threshold regression line; Calculate a first intersection point of the actual pressure regression line with the high pressure threshold regression line or a second intersection point of the actual pressure regression line with the low pressure threshold regression line to obtain a predicted remaining time to a fault time point; According to the comparison result of the predicted remaining time and the preset warning duration level, a warning message of the corresponding level is determined and issued.

2. The gas fire extinguishing system monitoring and early warning method according to claim 1 is characterized in that: After sampling and obtaining the real-time pressure value at the preset time interval, the method further comprises the following steps: According to the upper and lower temperature limits of the preset ambient temperature range, the system pressure boundary value is calculated by the preset temperature-pressure conversion curve, where: The system minimum pressure boundary value is obtained by substituting the lower limit temperature into the temperature-pressure conversion curve and multiplying it by the system lower limit coefficient; The maximum pressure boundary value of the system is obtained by substituting the upper limit temperature into the temperature-pressure conversion curve and multiplying it by the system upper limit coefficient; Determine whether the real-time pressure value is within the range of the system maximum pressure boundary value and the system minimum pressure boundary value; If the real-time pressure value is not within the range of the system maximum pressure boundary value and the system minimum pressure boundary value, an out-of-bounds alarm message is directly issued.

3. The gas fire extinguishing system monitoring and early warning method according to claim 1 is characterized in that: Sampling at preset time intervals to obtain real-time pressure values, real-time high pressure thresholds, real-time low pressure thresholds and real-time time specifically includes the following steps: Sampling at preset time intervals to obtain real-time pressure value, real-time temperature value and real-time time; Calculating a reference pressure value according to the real-time temperature value and a preset temperature-pressure conversion curve, wherein the temperature-pressure conversion curve is obtained according to the relationship between temperature and pressure under fixed gas composition conditions in a fixed space in the Clapeyron equation; Calculate a maximum pressure value and a minimum pressure value according to the reference pressure value, wherein the maximum pressure value is the reference pressure value multiplied by a first preset coefficient, and the minimum pressure value is the reference pressure value multiplied by a second preset coefficient; A real-time high pressure threshold and a real-time low pressure threshold are calculated based on the maximum pressure value, the minimum pressure value and the real-time pressure value, wherein the real-time high pressure threshold is the maximum pressure value minus the real-time pressure value multiplied by the pressure gauge accuracy, and the real-time low pressure threshold is the minimum pressure value plus the real-time pressure value multiplied by the pressure gauge accuracy.

4. The gas fire extinguishing system monitoring and early warning method according to claim 1, characterized in that: The calculation process of the pressure fluctuation determination threshold comprises the following steps: Get sensor range, sensor accuracy and sensor real-time value; According to the preset determination coefficient, the real-time value of the sensor, the sensor range and the sensor accuracy, the pressure fluctuation determination threshold ΔC is calculated, ΔC=k×(P / F)×Ac÷100, wherein k is the preset determination coefficient, P is the real-time value of the sensor, F is the sensor range, and Ac is the sensor accuracy.

5. The gas fire extinguishing system monitoring and early warning method according to claim 1, characterized in that: The linear regression specifically comprises the following steps: Recording the fluctuating real-time pressure value, the real-time high pressure threshold, the real-time low pressure threshold and the real-time time into a data set; When the number of data points in the data set exceeds a preset number, deleting the first recorded data point in the data set; The data points in the data set are used to perform linear regression to obtain the actual pressure regression line, the high pressure threshold regression line and the low pressure threshold regression line.

6. The gas fire extinguishing system monitoring and early warning method according to claim 1, characterized in that: Determine and issue warning information of corresponding level, including the following steps: When the predicted remaining time is less than or equal to the preset first-level warning duration and greater than the preset second-level warning duration, a first-level warning message is issued; When the predicted remaining time is less than or equal to the preset second-level warning duration and greater than the preset third-level warning duration, a second-level warning message is issued; When the predicted remaining time is less than or equal to the preset third-level warning duration, a third-level warning message is issued.

7. The gas fire extinguishing system monitoring and early warning method according to claim 1, characterized in that: The method further comprises the steps of: When the real-time pressure value is lower than the real-time low-pressure threshold, the system enters a low-pressure alarm state; in the low-pressure alarm state, when the real-time pressure value is greater than or equal to the low-pressure hysteresis threshold, the system switches from the low-pressure alarm state to a normal state; When the real-time pressure value is higher than the real-time high-pressure threshold, the system enters a high-pressure alarm state; in the high-pressure alarm state, when the real-time pressure value is less than or equal to the high-pressure hysteresis threshold, the system switches from the high-pressure alarm state to a normal state; The low-pressure hysteresis threshold is greater than the low-pressure threshold, and the high-pressure hysteresis threshold is less than the high-pressure threshold.

8. A gas fire extinguishing system monitoring and early warning system, characterized in that: include: A data acquisition module, used to obtain real-time pressure value, real-time high pressure threshold, real-time low pressure threshold and real-time time by sampling at preset time intervals; A fluctuation determination module, used for calculating a pressure difference between two adjacent real-time pressure values ​​according to the real-time moment, and comparing the pressure difference with a preset pressure fluctuation determination threshold to determine whether a pressure fluctuation occurs; An analysis and processing module, for recording the real-time pressure value, the real-time high pressure threshold, the real-time low pressure threshold and the real-time time when it is determined that pressure fluctuation occurs, and performing linear regression respectively to obtain an actual pressure regression line, a high pressure threshold regression line and a low pressure threshold regression line; A prediction calculation module, used to calculate a first intersection point of the actual pressure regression line and the high pressure threshold regression line or a second intersection point of the actual pressure regression line and the low pressure threshold regression line to obtain a predicted remaining time to a fault time point; The warning output module is used to determine and issue warning information of the corresponding level according to the comparison result of the predicted remaining time and the preset warning duration level.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the gas fire extinguishing system monitoring and early warning method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the gas fire extinguishing system monitoring and early warning method described in any one of claims 1 to 7 are implemented.

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