Alarm pressure dynamic adjusting method and system of gas pressure adjusting device

Abstract

The invention provides an alarm pressure dynamic adjusting method and system for a gas pressure adjusting device, and relates to the technical field of pipeline transmission and distribution, and the method comprises the steps: continuously collecting the temperature and pressure of a pipeline where the gas pressure adjusting device is located and the pressure difference of a filter, and carrying out the processing to obtain characteristic parameters related to the actual working pressure of the gas pressure adjusting device; processing according to the characteristic parameters and a historical alarm pressure threshold value of the gas pressure regulating device to obtain an alarm pressure prediction value of the gas pressure regulating device, and dynamically adjusting a current alarm pressure value of the gas pressure regulating device according to the alarm pressure prediction value. The method has the beneficial effects that the alarm pressure prediction value is predicted based on the continuously collected pipeline temperature and pipeline pressure of the gas pressure regulating device and the filter pressure difference, the alarm pressure of the gas pressure regulating device is dynamically adjusted to adapt to continuous change of the pipeline operation working condition, the safety of the gas pipeline is improved, false alarm or missing alarm is avoided, and the safety of the gas pipeline is improved. The whole process does not need manual participation, and the labor cost is effectively saved.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline transportation and distribution, and in particular to a method and system for dynamically adjusting the alarm pressure of a gas pressure regulating device. Background Art

[0002] The natural gas pipeline pressure monitoring and alarm system is a safety monitoring system designed specifically for natural gas pipelines. It monitors the pressure changes of the pipeline in real time through the pressure sensor installed on the pipeline. When the pipeline pressure fluctuates abnormally (such as too high, too low, or a sharp change in pressure, etc.), the system will immediately issue an audible and visual alarm and send an alarm message to relevant personnel so that timely measures can be taken to prevent accidents.

[0003] In the operation of natural gas pipelines, especially those supplying gas to industrial users, the pressure setting of the alarm system is key to the effective operation of the system. Industrial gas consumption often fluctuates periodically or continuously due to changes in production demand. In order to maintain operational safety and avoid false alarms or missed alarms, it is necessary to frequently update and maintain the alarm pressure settings of the natural gas pipeline pressure monitoring system to ensure that the system adapts to the dynamic characteristics of pipeline operating conditions.

[0004] Many gas supply operators still rely on traditional systems that lack the ability to integrate with modern data analysis tools, predictive models, or AI-driven anomaly detection. Traditional systems lack dynamic adjustment mechanisms and still use manually configured static set values. As pipeline operating conditions continue to change, static set values ​​are difficult to adapt to actual needs and may lead to false alarms or missed alarms. In addition, traditional systems also have the problem of over-reliance on manual labor and experience. Frequent manual updates of alarm settings require dedicated personnel to monitor and analyze gas usage trends, which is manpower-consuming. The adjustment of alarm parameters relies on the operator's experience and judgment, lacking quantitative analysis and scientific basis. Summary of the invention

[0005] In view of the problems existing in the prior art, the present invention provides a method for dynamically adjusting the alarm pressure of a gas pressure regulating device, comprising:

[0006] Step S1, continuously collecting the pipeline temperature, pipeline pressure and filter pressure difference of the gas pressure regulating device, and processing to obtain characteristic parameters related to the actual working pressure of the gas pressure regulating device;

[0007] Step S2, obtaining an alarm pressure prediction value of the gas pressure regulating device according to the characteristic parameter and the historical alarm pressure threshold value of the gas pressure regulating device, and dynamically adjusting the current alarm pressure value of the gas pressure regulating device according to the alarm pressure prediction value.

[0008] Preferably, the characteristic parameters include at least one of an estimated actual working pressure of the gas pressure regulating device, a deviation of the actual working pressure, an average pipeline pressure, a maximum pipeline pressure, a minimum pipeline pressure, an average pipeline temperature, a maximum pipeline temperature and a minimum pipeline temperature.

[0009] Preferably, in step S1, the process of obtaining the estimated value of the actual working pressure includes:

[0010] Step A1, obtaining the pipeline pressures and filter differential pressures continuously collected for a preset time, and forming a first pressure sequence according to the pipeline pressures, and forming a second pressure sequence according to the filter differential pressures;

[0011] Step A2, determining whether the pressure difference of each filter in the second pressure sequence is greater than the minimum working pressure difference of the gas pressure regulating device:

[0012] If not, discard the first pressure sequence and the second pressure sequence and return to step A1;

[0013] If so, the average of the pipeline pressures in the first pressure sequence is calculated as the estimated value of the actual working pressure.

[0014] Preferably, in step A1, the process of forming the first pressure sequence according to the pressures of the pipelines includes:

[0015] Each pipeline pressure is added to the first set, and then the outliers in the first set are removed by the interquartile range method and re-sorted by acquisition time to form the first pressure sequence. Preferably, in step S1, the process of obtaining the actual working pressure deviation includes:

[0016] Step B1, continuously determining whether the absolute value of the difference between the collected pipeline pressures and the preset working pressure of the gas pressure regulating device is not greater than a first threshold value:

[0017] If not, return to step B1;

[0018] If yes, go to step B2;

[0019] Step B2, obtaining the actual working pressure deviation according to the deviation between the difference and the second threshold value;

[0020] The first threshold is greater than the second threshold.

[0021] Preferably, step B2 comprises:

[0022] Step B21, configuring a corresponding deviation measurement value for the corresponding pipeline pressure according to the deviation between the difference and the second threshold value, and storing the deviation measurement value in a list;

[0023] Step B22: When the total number of the deviation measurement values ​​included in the list reaches a preset value, the ratio of the sum of all the deviation measurement values ​​in the list to the total number is calculated to obtain the actual working pressure deviation.

[0024] Preferably, in step B21, the deviation metric value is configured according to the following formula:

[0025]

[0026] Wherein, V is the deviation metric value, P t is the pipeline pressure, P set is the preset working pressure, th1 is the preset allowable pressure deviation, P set *th1 is the second threshold.

[0027] Preferably, the first threshold is P set *(AC+th1), where P set is the preset working pressure, AC is the accuracy grade of the gas pressure regulating device, and th1 is the preset allowable pressure deviation.

[0028] Preferably, in step S2, the process of dynamically adjusting the current alarm pressure value of the gas pressure regulating device according to the alarm pressure prediction value includes:

[0029] Determine whether the absolute value of the difference between the warning pressure prediction value and the current warning pressure value is greater than a third threshold:

[0030] If yes, the predicted value of the warning pressure is used to replace the current warning pressure value;

[0031] If not, the current alarm pressure value is still used;

[0032] Wherein, the third threshold is A t-1 *th2, A t-1 is the current alarm pressure value, and th2 is the threshold coefficient.

[0033] The present invention also provides a system for dynamically adjusting the alarm pressure of a gas pressure regulating device, which applies the above-mentioned method for dynamically adjusting the alarm pressure and comprises:

[0034] The edge device is used to continuously collect the pipeline temperature, pipeline pressure and filter pressure difference of the gas pressure regulating device, and process them to obtain characteristic parameters related to the actual working pressure of the gas pressure regulating device;

[0035] The cloud is connected to the edge device, and is used to obtain the alarm pressure prediction value of the gas pressure regulating device according to the characteristic parameters and the historical alarm pressure threshold value of the gas pressure regulating device, and dynamically adjust the current alarm pressure value of the gas pressure regulating device according to the alarm pressure prediction value.

[0036] The above technical solution has the following advantages or beneficial effects:

[0037] 1) Based on the continuously collected pipeline temperature, pipeline pressure and filter pressure difference prediction of the gas pressure regulating device, the alarm pressure prediction value is obtained to dynamically adjust the alarm pressure of the gas pressure regulating device to adapt to the continuous changes in pipeline operating conditions, improve the safety of the gas pipeline and avoid false alarms or missed alarms. The entire process does not require manual participation, effectively saving labor costs;

[0038] 2) The process of obtaining characteristic parameters related to the actual working pressure of the gas pressure regulating device based on the continuously collected pipeline temperature, pipeline pressure and filter pressure difference of the gas pressure regulating device is executed by the edge device. The edge device only needs to upload the processed characteristic parameters to the cloud for processing. There is no need to upload all the collected original data, which saves communication costs and energy consumption, reduces the data communication requirements of the Internet of Things, and improves the cloud-edge collaboration capability. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 The figure is a flow chart of a method for dynamically adjusting the alarm pressure of a gas pressure regulating device in a preferred embodiment of the present invention;

[0040] Figure 2 It is a flowchart of the process of obtaining the estimated value of the actual working pressure in a preferred embodiment of the present invention;

[0041] Figure 3 It is a flow chart of the process of obtaining the actual working pressure deviation in a preferred embodiment of the present invention;

[0042] Figure 4 This is a sub-flow diagram of step B2 in a preferred embodiment of the present invention;

[0043] Figure 5 The figure is a structural schematic diagram of a system for dynamically adjusting the alarm pressure of a gas pressure regulating device in a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0044] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. The present invention is not limited to this embodiment, and other embodiments may also fall within the scope of the present invention as long as they conform to the gist of the present invention.

[0045] In a preferred embodiment of the present invention, based on the above problems existing in the prior art, a method for dynamically adjusting the alarm pressure of a gas pressure regulating device is provided. Figure 1 As shown, including:

[0046] Step S1, continuously collecting the pipeline temperature, pipeline pressure and filter pressure difference of the gas pressure regulating device, and processing to obtain characteristic parameters related to the actual working pressure of the gas pressure regulating device;

[0047] Step S2, obtaining an alarm pressure prediction value of the gas pressure regulating device according to the characteristic parameter and the historical alarm pressure threshold value of the gas pressure regulating device, and dynamically adjusting the current alarm pressure value of the gas pressure regulating device according to the alarm pressure prediction value.

[0048] Specifically, in this embodiment, the pipeline pressure is the downstream pipeline pressure of the gas pressure regulating device, which can be collected by an outlet pressure transmitter installed at the outlet of the gas pressure regulating device. The filter pressure difference is the front and rear pressure difference of the upstream filter of the gas pressure regulating device, which can be collected by a differential pressure transmitter installed on the filter. The pipeline temperature can be collected by a temperature transmitter installed near the inlet of the gas pressure regulating device.

[0049] Furthermore, a relatively high acquisition frequency may be used to acquire pipeline pressure, filter pressure difference, and pipeline temperature as high-frequency characteristic data. Specifically, a first acquisition frequency may be used to acquire pipeline pressure and filter pressure difference, and a second acquisition frequency may be used to acquire pipeline temperature, wherein the first acquisition frequency is higher than the second acquisition frequency. Preferably, for civil gas pressure regulating devices, the first acquisition frequency may be 1 Hz to 10 Hz, for industrial gas pressure regulating devices, the first acquisition frequency may be 10 Hz to 100 Hz, and for some advanced or safety-critical applications, the first acquisition frequency may be 1 kHz. During the normal operation of the gas pressure regulating device, high-frequency sampling of the gas temperature is not required. Therefore, the second acquisition frequency is not limited here, and a conventional acquisition frequency that is less than the first acquisition frequency may be used.

[0050] Furthermore, considering the computing power requirements, it is preferred to deploy the prediction process of the alarm pressure prediction value in the cloud. However, in order to meet the ever-changing pipeline operating conditions, it is necessary to continuously collect the above-mentioned high-frequency feature data, which will generate a large amount of time series data. If all the collected high-frequency feature data are submitted to the cloud for processing, the communication cost and energy consumption will increase. Among them, for terminal devices in specific environments, the local network bandwidth and network stability may not be able to support the regular communication of large amounts of data. For battery-powered devices, their energy reserves may not be able to support the uploading of high-frequency data. To solve this technical problem, the collection of the above-mentioned high-frequency feature data is preferably implemented by edge devices, and then edge computing is performed by edge devices to obtain characteristic parameters related to the actual working pressure of the gas pressure regulating device, that is, low-frequency feature data. The edge device then uploads the low-frequency feature data to the cloud for prediction to reduce the data communication requirements of the Internet of Things.

[0051] In a preferred embodiment of the present invention, the characteristic parameters include at least one of an estimated value of the actual working pressure of the gas pressure regulating device, a deviation of the actual working pressure, an average pipeline pressure, a maximum pipeline pressure, a minimum pipeline pressure, an average pipeline temperature, a maximum pipeline temperature and a minimum pipeline temperature.

[0052] In a preferred embodiment of the present invention, in step S1, Figure 2 As shown, the process of obtaining the estimated value of the actual working pressure includes:

[0053] Step A1, obtaining the pressure of each pipeline and the pressure difference of each filter for a preset time period, and forming a first pressure sequence according to the pressure of each pipeline, and forming a second pressure sequence according to the pressure difference of each filter;

[0054] Step A2, determining whether the pressure difference of each filter in the second pressure sequence is greater than the minimum working pressure difference of the gas pressure regulating device:

[0055] If not, the first pressure sequence and the second pressure sequence are discarded and the process returns to step A1;

[0056] If so, the average of the pipeline pressures in the first pressure sequence is calculated as the estimated value of the actual working pressure.

[0057] In a preferred embodiment of the present invention, in step A1, the process of forming a first pressure sequence according to the pressure of each pipeline includes:

[0058] The pressure of each pipeline is added to the first set, and then the outliers in the first set are removed by the interquartile range method and re-sorted by acquisition time to form the first pressure sequence.

[0059] Specifically, in this embodiment, within the preset time length T, assuming that the number of sampling frames of the pipeline pressure continuously collected is n, a first set P of length n arranged in the order of collection time is obtained = {P1, P2, ..., P n}.

[0060] The interquartile range method is then used to identify outliers. Specifically, outliers are defined as points outside the following range R:

[0061] R: [Q1-1.5*IQR, Q3+1.5*IQR], where IQR=Q3-Q1

[0062] Among them, Q1 is the first quartile (25%), and Q3 is the third quartile (75%).

[0063] Any value outside the above range R is considered abnormal and needs to be removed from the first set to obtain the first pressure sequence: P = {P1, P2, ..., P m}, where m is the length of the first pressure sequence, and 0 <m<n。

[0064] For the second pressure sequence P filter = {P f1 , P f2 ,…,P fm}, this time series represents the filter pressure difference at the inlet of the gas pressure regulating device. If the second pressure series P filter If the pressure difference of all filters in the second pressure sequence P is greater than the minimum working pressure difference of the gas pressure regulating device, filter The minimum working pressure difference here can also be called the minimum input pressure difference, which means the minimum filter pressure difference level required for the normal operation of the gas pressure regulating device or pipeline and accurate flow detection when the flow rate is greater than a certain lower limit.

[0065] For an effective second pressure sequence, Gaussian modeling is preferably used, and the mean and variance of the second pressure sequence are calculated according to the following formula:

[0066]

[0067] Among them, μ represents the mean, that is, the estimated value of actual work pressure. σ 2 Represents the variance, which is used to evaluate the pressure stabilization performance of the gas pressure regulating device.

[0068] In a preferred embodiment of the present invention, in step S1, Figure 3 As shown, the process of obtaining the actual working pressure deviation includes:

[0069] Step B1, continuously judging whether the absolute value of the difference between the collected pressures of each pipeline and the preset working pressure of the gas pressure regulating device is not greater than a first threshold value:

[0070] If not, return to step B1;

[0071] If yes, go to step B2;

[0072] Step B2, obtaining the actual working pressure deviation according to the deviation between the difference and the second threshold value;

[0073] The first threshold is greater than the second threshold.

[0074] Specifically, in this embodiment, when the pressure regulating valve of the gas pressure regulating device is opened, its operating pressure, i.e., the pipeline pressure P t Will change to the preset working pressure P set If the absolute value of the difference between each pipeline pressure and the preset working pressure of the gas pressure regulating device is greater than the first threshold, the actual working pressure deviation will not be evaluated during the collection period, and the subsequent alarm pressure prediction value will not be calculated, so as to realize the cross-validation of the actual working pressure deviation and the actually collected pipeline pressure, that is, the online detection result of the operating pressure, so as to improve the robustness of the algorithm output.

[0075] In a preferred embodiment of the present invention, Figure 4 As shown, step B2 includes:

[0076] Step B21, configuring a corresponding deviation measurement value for the corresponding pipeline pressure according to the deviation between the difference value and the second threshold value, and storing the deviation measurement value in a list;

[0077] Step B22: When the total number of deviation measurement values ​​included in the list reaches a preset value, the ratio of the sum of all deviation measurement values ​​in the list to the total number is calculated to obtain the actual working pressure deviation.

[0078] In a preferred embodiment of the present invention, in step B21, the deviation metric value is configured according to the following formula:

[0079]

[0080] Where V is the deviation metric, P t is the pipeline pressure, P set is the preset working pressure, th1 is the preset allowable pressure deviation, P set *th1 is the second threshold.

[0081] In a preferred embodiment of the present invention, the first threshold is P set *(AC+th1), where P setis the preset working pressure, AC is the accuracy grade of the gas pressure regulating device, and th1 is the preset allowable pressure deviation.

[0082] Specifically, in this embodiment, after processing to obtain each characteristic parameter, it is preferred to use the XGboost method for prediction. The full name of the XGboost method is eXtreme Gradient Boosting, which is an ensemble learning algorithm based on a gradient boosting decision tree. The algorithm formula is expressed as follows:

[0083] Predicted(A t )=XGBoost(F t ,A t-1 ,A t-2 ,…)

[0084] The algorithm formula indicates that the characteristic parameters and historical alarm pressure thresholds collected and processed during the current preset time are used as the input of the XGboost model, and the alarm pressure prediction value is used as the output of the XGboost model. Here, A t It represents the predicted value of the alarm pressure obtained by processing the characteristic parameters collected and processed based on the current preset time. t Indicates the characteristic parameters collected and processed using the current preset duration, A t-1 and A t-2 Respectively represent the historical alarm pressure thresholds that have changed in the last two times, where A t-1 It can be understood as the alarm pressure threshold currently in use. When making predictions here, it is preferred to use at least two historical alarm pressure thresholds to input into the XGboost model.

[0085] Furthermore, when the actual working pressure deviation participates in model prediction, since the tree-based model XGboost model is used for prediction, and the XGboost model can use discrete features and continuous features, the actual working pressure deviation can be further processed into discrete features to participate in model prediction. For example, when the ratio of the sum of all deviation measurement values ​​to the total number in the list is greater than the preset value k, it is considered that the actual working pressure of the gas pressure regulating device deviates significantly from the preset working pressure. At this time, the actual working pressure deviation is assigned to 1, otherwise it is assigned to 0.

[0086] The actual work pressure deviation can also be used as a continuous feature to participate in model prediction, that is, the ratio of the sum of all deviation measurement values ​​in the list to the total number is directly used as the actual work pressure deviation to participate in model prediction.

[0087] After the alarm pressure prediction value is obtained, it is necessary to further determine whether parameter update is required. In a preferred embodiment of the present invention, in step S2, the process of dynamically adjusting the current alarm pressure value of the gas pressure regulating device according to the alarm pressure prediction value includes:

[0088] Determine whether the absolute value of the difference between the alarm pressure prediction value and the current alarm pressure value is greater than the third threshold:

[0089] If yes, the predicted value of the alarm pressure is used to replace the current alarm pressure value;

[0090] If not, the current alarm pressure value will still be used;

[0091] Among them, the third threshold is A t-1 *th2, A t-1 is the current alarm pressure value, and th2 is the threshold coefficient.

[0092] The present invention also provides a system for dynamically adjusting the alarm pressure of a gas pressure regulating device, which applies the above-mentioned method for dynamically adjusting the alarm pressure, such as Figure 5 As shown, including:

[0093] Edge device 1 is used to continuously collect the pipeline temperature, pipeline pressure and filter pressure difference of the gas pressure regulating device, and process to obtain characteristic parameters related to the actual working pressure of the gas pressure regulating device;

[0094] The cloud 2 is connected to the edge device 1, and is used to obtain the alarm pressure prediction value of the gas pressure regulating device according to the characteristic parameters and the historical alarm pressure threshold value of the gas pressure regulating device, and dynamically adjust the current alarm pressure value of the gas pressure regulating device according to the alarm pressure prediction value.

[0095] The above description is only a preferred embodiment of the present invention, and does not limit the implementation mode and protection scope of the present invention. For those skilled in the art, it should be aware that all solutions obtained by equivalent substitutions and obvious changes made using the contents of this specification and illustrations should be included in the protection scope of the present invention.

Claims

1. A method for dynamically adjusting the alarm pressure of a gas pressure regulating device, characterized in that: include: Step S1, continuously collecting the pipeline temperature, pipeline pressure and filter pressure difference of the gas pressure regulating device, and processing to obtain characteristic parameters related to the actual working pressure of the gas pressure regulating device; Step S2, obtaining an alarm pressure prediction value of the gas pressure regulating device according to the characteristic parameter and the historical alarm pressure threshold value of the gas pressure regulating device, and dynamically adjusting the current alarm pressure value of the gas pressure regulating device according to the alarm pressure prediction value.

2. The method for dynamically adjusting the alarm pressure according to claim 1, characterized in that: The characteristic parameters include at least one of an estimated value of the actual working pressure of the gas pressure regulating device, a deviation of the actual working pressure, an average pipeline pressure, a maximum pipeline pressure, a minimum pipeline pressure, an average pipeline temperature, a maximum pipeline temperature and a minimum pipeline temperature.

3. The method for dynamically adjusting the alarm pressure according to claim 2, characterized in that: In step S1, the process of obtaining the estimated value of the actual working pressure includes: Step A1, obtaining the pipeline pressures and filter differential pressures continuously collected for a preset time, and forming a first pressure sequence according to the pipeline pressures, and forming a second pressure sequence according to the filter differential pressures; Step A2, determining whether the pressure difference of each filter in the second pressure sequence is greater than the minimum working pressure difference of the gas pressure regulating device: If not, discard the first pressure sequence and the second pressure sequence and return to step A1; If so, the average of the pipeline pressures in the first pressure sequence is calculated as the estimated value of the actual working pressure.

4. The method for dynamically adjusting the alarm pressure according to claim 3, characterized in that: In step A1, the process of forming the first pressure sequence according to the pipeline pressures includes: The pipeline pressures are added to the first set, and then outliers in the first set are removed by using the interquartile range method and then re-sorted by acquisition time to form the first pressure sequence.

5. The method for dynamically adjusting the alarm pressure according to claim 2, characterized in that: In step S1, the process of obtaining the actual working pressure deviation includes: Step B1, continuously determining whether the absolute value of the difference between the collected pipeline pressures and the preset working pressure of the gas pressure regulating device is not greater than a first threshold value: If not, return to step B1; If yes, go to step B2; Step B2, obtaining the actual working pressure deviation according to the deviation between the difference and the second threshold value; The first threshold is greater than the second threshold.

6. The method for dynamically adjusting the alarm pressure according to claim 5, characterized in that: The step B2 comprises: Step B21, configuring a corresponding deviation measurement value for the corresponding pipeline pressure according to the deviation between the difference and the second threshold value, and storing the deviation measurement value in a list; Step B22: When the total number of the deviation measurement values ​​included in the list reaches a preset value, the ratio of the sum of all the deviation measurement values ​​in the list to the total number is calculated to obtain the actual working pressure deviation.

7. The method for dynamically adjusting the alarm pressure according to claim 6, characterized in that: In step B21, the deviation metric value is configured according to the following formula: Wherein, V is the deviation metric value, P t is the pipeline pressure, P set is the preset working pressure, th1 is the preset allowable pressure deviation, P set *th1 is the second threshold.

8. The method for dynamically adjusting the alarm pressure according to claim 5, characterized in that: The first threshold is P set *(AC+th1), where P set is the preset working pressure, AC is the accuracy grade of the gas pressure regulating device, and th1 is the preset allowable pressure deviation.

9. The method for dynamically adjusting the alarm pressure according to claim 1, characterized in that: In step S2, the process of dynamically adjusting the current alarm pressure value of the gas pressure regulating device according to the alarm pressure prediction value includes: Determine whether the absolute value of the difference between the warning pressure prediction value and the current warning pressure value is greater than a third threshold: If yes, the predicted value of the warning pressure is used to replace the current warning pressure value; If not, the current alarm pressure value is still used; Wherein, the third threshold is A t-1 *th2, A t-1 is the current alarm pressure value, and th2 is the threshold coefficient.

10. A dynamic adjustment system for the alarm pressure of a gas pressure regulating device, characterized in that: The method for dynamically adjusting the alarm pressure as claimed in any one of claims 1 to 9 comprises: The edge device is used to continuously collect the pipeline temperature, pipeline pressure and filter pressure difference of the gas pressure regulating device, and process them to obtain characteristic parameters related to the actual working pressure of the gas pressure regulating device; The cloud is connected to the edge device, and is used to obtain the alarm pressure prediction value of the gas pressure regulating device according to the characteristic parameters and the historical alarm pressure threshold value of the gas pressure regulating device, and dynamically adjust the current alarm pressure value of the gas pressure regulating device according to the alarm pressure prediction value.

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