A method for intelligently determining failure of a voltage regulating device, a voltage regulating device, and a storage medium

By analyzing the outlet and inlet pressure data of pressure regulating equipment and combining it with user classification, intelligent fault diagnosis of pressure regulating equipment in gas transmission and distribution systems has been achieved. This solves the problem of relying on manual inspection in existing technologies and improves the intelligence and efficiency of equipment management.

CN119879090BActive Publication Date: 2025-11-07GUANGZHOU GAS GROUP CO LTD
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Patent Information

Application Number
CN202510078317.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-17
Publication Date
2025-11-07
Estimated Expiration
2045-01-17

AI Technical Summary

Technical Problem

The existing gas transmission and distribution system lacks an intelligent monitoring system, making it impossible to remotely monitor the status of pressure regulating equipment in real time. It relies on manual inspections to discover abnormal operating conditions, resulting in high maintenance costs and a lack of equipment performance optimization.

Method used

By collecting outlet pressure data from pressure regulating equipment, classifying users by type, analyzing gas usage time periods, and comparing with inlet pressure data, intelligent fault diagnosis can be achieved, including maintenance suggestions for components such as filters and valves.

Benefits of technology

It enables intelligent identification and timely alarm of voltage regulating equipment faults, improving the work efficiency of operators and reducing maintenance costs.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The application discloses a kind of intelligent determination methods for regulating equipment failure, regulating equipment and storage medium, it includes: according to user type classification, according to user classification acquisition first time period inside regulating equipment outlet pressure data, determine main gas time period;Detect whether the outlet pressure data in the first time period is within the regulating precision range, and analyze and determine the corresponding fault type;Analysis first time period inside the import pressure data of regulating equipment is analyzed, compares import pressure data to determine fault alarm;The application intelligently identifies gas time, determines equipment failure condition in time according to the set logical relationship, discovers abnormal working condition in time and issues warning;According to probability and the set logical relationship analysis corresponding fault, and generate fault handling recommended operation;Work personnel can sequentially investigate according to the probability of fault occurrence, preferentially check the fault node with highest probability, and continuously improve the work efficiency of work personnel.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of equipment detection, and in particular to a pressure regulating equipment fault intelligent determination method, a pressure regulating equipment and a storage medium. BACKGROUND

[0002] The gas transmission and distribution system is composed of gate stations, transmission and distribution pipe networks, and pressure regulators, operation management facilities and monitoring systems. In the safe and efficient use of natural gas and efficient transmission and distribution, the gas pressure regulator plays a role in adjusting the higher pressure in the upstream to a lower pressure for different types of users to safely and efficiently use gas. In the prior art, the gate stations and high-pressure regulating stations in the urban gas transmission and distribution system basically realize SCADA data monitoring of the operating conditions such as pressure, temperature, flow and valve position, and some stations have realized remote pressure regulation and flow limitation. However, most of the currently in-service low-pressure gas pressure regulating equipment is purely mechanical pressure regulating, which mainly relies on periodic manual inspection and repair to determine whether the equipment has abnormal conditions such as filter blockage, pressure regulator failure, and equipment leakage, and lacks analysis of user gas usage patterns. In order to strengthen the management of pressure regulating equipment, some pressure regulating equipment is retrofitted with a collection instrument, and the operating state of the pipe network is determined by combining manual data analysis.

[0003] The above-mentioned operating mode has the following defects: first, the pressure regulating system lacks an intelligent monitoring system, and the equipment condition cannot be remotely monitored in real time; abnormal conditions can only be discovered by periodic personnel inspection or user fault reporting, and an active management mode of "early warning" cannot be effectively formed. Second, the analysis of various data mainly relies on manual operation, which requires high experience of the operating personnel; and a large number of equipment easily causes a lack of comprehensive management and analysis of operating parameters, which is not conducive to the optimization of equipment performance and has high maintenance costs.

[0004] Therefore, it is urgent to provide a pressure regulating equipment fault intelligent determination method, a pressure regulating equipment and a storage medium to solve the above problems. SUMMARY

[0005] The main purpose of the present application is to provide a pressure regulating equipment fault intelligent determination method, a pressure regulating equipment and a storage medium, which aims to solve the existing technical problems.

[0006] To achieve the above-mentioned purpose, the present application provides a pressure regulating equipment fault intelligent determination method, comprising:

[0007] According to the user type, the outlet pressure data of the pressure regulating equipment in a first time period is collected according to the user classification, and the main gas usage time period is determined;

[0008] Detecting whether the outlet pressure data in the first time period is within the pressure regulating precision range and analyzing and determining the corresponding fault type;

[0009] The inlet pressure data of the pressure regulating device in the first time period is analyzed, and the fault alarm is determined by comparing the inlet pressure data.

[0010] Further, the classification according to the user type, the outlet pressure data of the pressure regulating device in the first time period is collected according to the user classification, and the main gas use time period is determined, including,

[0011] If it is a single non-resident user, all the outlet pressure data of the pressure regulating device collected in a day is directly analyzed;

[0012] If it is a non-single non-resident user, the outlet pressure data of the pressure regulating device in a time interval of 30 minutes is analyzed.

[0013] Further, the step of analyzing the outlet pressure data includes,

[0014] When A=P 出口 i+1 -P 出口 i >0, let A i =1;

[0015] When A=P 出口 i+1 -P 出口 i <0, let A i =-1;

[0016] When A=P 出口 i+1 -P 出口 i =0, let A i =0;

[0017] The relationship between A i and time t is analyzed, when |A i+1 -A i |>0, the time point is marked;

[0018] When |A i+1 -A i |=0, stop marking;

[0019] The data fitting of A i -t i in the marked first time period is performed, if the fitted curve conforms to a sine function or a cosine function, the time period is marked as a main gas use time.

[0020] Further, the step of detecting whether the outlet pressure data in the first time period is within the pressure regulating precision range and analyzing and determining the corresponding fault type includes,

[0021] When the outlet pressure is detected to be outside the pressure regulation accuracy range, the analysis of the outlet pressure is initiated to calculate the first area where the outlet pressure exceeds the upper limit of accuracy and the second area where the outlet pressure exceeds the lower limit of accuracy within the first time period.

[0022] If the first area is not equal to 0 and the second area is not equal to 0, then the pressure regulator pilot, signal tube or needle valve should be inspected.

[0023] If the first area is equal to 0 and the second area is less than 0, then the valve port, valve port gasket, signal tube, valve stem, and spring should be inspected.

[0024] If the first area is greater than 0 and the second area is equal to 0, then check whether the selected voltage regulator is appropriate.

[0025] Furthermore, the analysis of the inlet pressure data of the pressure regulating equipment within the first time period is performed, and the fault alarm is determined by comparing the inlet pressure data, including:

[0026] When the inlet pressure exceeds the set high limit alarm value, the system will issue an alarm for unstable gas supply pressure in the pipeline network / fault in the upstream pipeline network.

[0027] When the inlet pressure is lower than the set low alarm value, and the instantaneous pressure drop of three consecutive inlet pressures is greater than 0.05 MPa / min, the instantaneous pressure drop analysis is initiated.

[0028] Furthermore, the instantaneous pressure drop analysis step includes,

[0029] When the inlet pressure in the first time period is less than the normal operating pressure of the pipeline network and the instantaneous pressure drop in the first time period is greater than 0.05 MPa / min; and when the inlet pressure in the second time period is less than the normal operating pressure of the pipeline network and the instantaneous pressure drop in the second time period is greater than 0.05 MPa / min; and when the inlet pressure in the third time period is less than the normal operating pressure of the pipeline network and the instantaneous pressure drop in the third time period is greater than 0.05 MPa / min; the system issues an alarm signal and starts analysis, proceeding to the second step of analysis.

[0030] The analysis proceeds sequentially through the fourth time period, the fifth time period, ..., the nth time period. When the instantaneous voltage drop in the nth time period is not zero and the instantaneous voltage drop Δp in the nth time period... i+n It matches the time period t with △p i+n When the pressure drop is equal to at+b, it is determined that there is an upstream gas outage, severe water blockage, or pipeline rupture; when the instantaneous pressure drop in the nth time interval matches the time interval t, Δp is considered normal. i+n When the value is b, it is determined that a leak or third-party sabotage has occurred near the pipeline inlet.

[0031] Furthermore, it also includes,

[0032] Filter pressure analysis, when the filter pressure difference is greater than or equal to 30kpa, the system sends a filter clogging alarm, reminding cleaning or replacing the filter;

[0033] Shutoff valve judgment, when the shutoff valve is actuated, an outlet pressure overpressure alarm signal is sent, and analysis is performed, when the outlet pressure is greater than the preset shutoff pressure, it is determined that the pressure regulator is not working, prompting to repair the diaphragm / valve port, clean the valve port or replace the valve pad.

[0034] Further, it also includes,

[0035] After each fault alarm information, the system performs information entry, confirms the on-site fault point and operation;

[0036] The information of the pressure regulating equipment is entered, classified according to the manufacturer and model of the equipment, and various alarm information of the equipment is counted; when a fault occurs, the system simultaneously compares the same type of equipment and the same type of data, and gives the corresponding fault probability, providing operation guidance for equipment maintenance personnel.

[0037] A pressure regulating equipment, comprising:

[0038] A memory for storing a computer program;

[0039] A processor for executing the computer program to realize the steps of the intelligent fault judgment method of the pressure regulating equipment as described above.

[0040] A computer readable storage medium, the computer readable storage medium has a computer program stored thereon, and the computer program is executed by a processor to realize the steps of the intelligent fault judgment method of the pressure regulating equipment as described above.

[0041] The beneficial effects of the present application are embodied in:

[0042] The present application intelligently identifies the gas time, determines the equipment fault condition in time according to the set logical relationship, and timely discovers abnormal working conditions and sends an alarm.

[0043] According to the probability and the set logical relationship, the corresponding fault is analyzed, and a fault handling recommendation operation is generated; the operation personnel can sequentially troubleshoot according to the probability of the fault occurrence, preferentially check the fault node with the highest probability, and continuously improve the work efficiency of the operation personnel. BRIEF DESCRIPTION OF DRAWINGS

[0044] Figure 1 The present application is a pressure regulating equipment fault intelligent judgment method flowchart. DETAILED DESCRIPTION

[0045] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. In the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work are within the protection scope of the present application.

[0046] Please refer to Figure 1 The present application provides a kind of intelligent fault diagnosis method of pressure regulating equipment, comprising:

[0047] S10: according to user type classification, according to user classification, the pressure regulating equipment outlet pressure data in the first time period is collected, and the main gas time period is determined;

[0048] Before this step, it is also related to the determination of peak gas time;At present, gas users are mainly divided into residential users and non-residential users (industrial users, commercial users and public welfare users, etc.) according to user nature, wherein part of the non-residential users is supplied by a single pressure regulating device due to large gas consumption or the reason of surrounding pipeline setting.Under the premise that the pressure regulating device is normally operated, when the users corresponding to the pressure regulating device are all non-residential users, the outlet pressure of the pressure regulating device is generally smoothly fluctuated within the stable pressure precision range and the fluctuation frequency is high, and the gas consumption time is highly combined with the gas consumption behavior of users;When the users corresponding to the pressure regulating device are all residential users or mixed with non-residential and residential users, due to the mutual influence of gas consumption and gas consumption behavior of different types of users, the outlet pressure fluctuation is generally relatively gentle and low in frequency.

[0049] The discrimination of peak gas time is mainly to provide reference for pipeline network operation and prepare for subsequent intelligent pressure regulation according to user gas consumption time.There are three reasons: ① to obtain gas consumption peak and valley, to facilitate the adjustment of pipeline operation pressure, to increase outlet pressure during peak period, and to reduce pressure regulating outlet pressure during low valley period, thereby reducing the overall pipeline leakage;② analyzing gas consumption time is beneficial to the arrangement of rescue operation. The gas stop operation time is arranged in the low gas consumption time to reduce the influence on users;③ analyzing gas consumption time is beneficial to dispatching operation. During peak period, the upstream gas quantity demand increases, and during low valley time, the upstream quantity is reduced.

[0050] In an embodiment, the classification according to user type, the pressure regulating equipment outlet pressure data in the first time period is collected according to user classification, and the main gas time period is determined, comprising,

[0051] If it is a single non-residential user supply, directly analyze all the pressure regulating device outlet pressure data collected in a day;

[0052] If the user is not a single user, analyze the outlet pressure data of the pressure regulating device in the time interval of 30 minutes.

[0053] In an embodiment, the step of analyzing the outlet pressure data comprises,

[0054] When A=P 出口 i+1 -P 出口 i >0, let A i =1;

[0055] When A=P 出口 i+1 -P 出口 i <0, let A i =-1;

[0056] When A=P 出口 i+1 -P 出口 i =0, let A i =0;

[0057] Analyze the relationship between A i and time t, when |A i+1 -A i |>0, mark the time point;

[0058] When |A i+1 -A i |=0, stop marking;

[0059] Fit the data of A i -t i in the first marked time period, if the fitted curve conforms to a sine function or a cosine function, mark the time period as the main gas usage time.

[0060] When fitting for the first time, the data of the device for 21 days (an empirical value, 21 days can basically reflect the gas usage rule) need to be judged to determine the coinciding time period as the main gas usage time. For the determined time, data fitting is performed every month for comparison and correction.

[0061] S20: Detect whether the outlet pressure data in the first time period is within the pressure regulating precision range, and analyze and determine the corresponding fault type;

[0062] In an embodiment, the step of detecting whether the outlet pressure data in the first time period is within the pressure regulating precision range, and analyzing and determining the corresponding fault type, comprises,

[0063] When it is detected that the outlet pressure is not within the pressure regulating accuracy range, analysis of the outlet pressure is started, and a first area where the outlet pressure exceeds the upper limit of the accuracy and a second area where the outlet pressure exceeds the lower limit of the accuracy in a first time period are calculated;

[0064] If the first area is not equal to 0 and the second area is not equal to 0, the regulator commander, signal pipe or needle valve is overhauled;

[0065] If the first area is equal to 0 and the second area is less than 0, the valve port, valve port pad, signal pipe, valve rod and spring are overhauled;

[0066] If the first area is greater than 0 and the second area is equal to 0, whether the selection of the regulator is appropriate is checked.

[0067] According to the requirements of “Urban Gas Pressure Regulator” GB 27790-2020, the pressure regulator should meet the pressure regulating accuracy requirements, which are divided into AC1, AC2.5, AC5, AC10 and AC15, and the maximum allowable relative deviation is ±1%, ±2.5%, ±5%, ±10% and ±15% respectively. Each device can set the accuracy range [P a ,P b ] according to the accuracy provided by the manufacturer. The common abnormal situations mainly include outlet pressure drop and outlet pressure fluctuation, and the corresponding situations are as follows:

[0068]

[0069] S30: Analyzing the inlet pressure data of the pressure regulating device in the first time period to analyze and compare the inlet pressure data to determine the fault alarm.

[0070] In an embodiment, the analyzing the inlet pressure data of the pressure regulating device in the first time period to analyze and compare the inlet pressure data to determine the fault alarm comprises,

[0071] When the inlet pressure exceeds the set high limit alarm value, the system issues an unstable pipeline gas supply pressure / upstream pipeline network failure alarm;

[0072] When the inlet pressure is lower than the set low limit alarm value, and the instantaneous pressure drop of the continuous three inlet pressures is greater than 0.05 MPa / min, the analysis of the instantaneous pressure drop is started. Specifically, when the inlet pressure is lower than the set low limit alarm value, and the instantaneous pressure drop △p i (△p i =p i -p a ) of the continuous three inlet pressures is greater than 0.05 MPa / min, the analysis of △p i is started. ① If the upstream gas stops or is seriously water blocked or the pipeline is broken, the pressure in the pipeline will gradually decrease with the extension of time; that is, with the extension of t, the pressure drop △pi Step by step, the system sends upstream stop gas / water blockage / pipeline rupture alarm signals. ② If leakage occurs near the inlet end or third-party damage occurs, the material flow is lost at the leakage point, the local density decreases, causing the pressure to drop. At the same time, the pressure downstream will also decrease. With the extension of the leakage, the pressure in the pipeline tends to be stable, and the instantaneous pressure drop in the pipeline tends to be stable.

[0073] In an embodiment, the instantaneous pressure drop analysis step comprises,

[0074] When the inlet pressure in the first time period is less than the normal pressure value of the pipeline network operation and the instantaneous pressure drop in the first time period is greater than 0.05 MPa / min; and when the inlet pressure in the second time period is less than the normal pressure value of the pipeline network operation and the instantaneous pressure drop in the second time period is greater than 0.05 MPa / min; and when the inlet pressure in the third time period is less than the normal pressure value of the pipeline network operation and the instantaneous pressure drop in the third time period is greater than 0.05 MPa / min; the system sends an alarm signal and starts analysis, entering the second step analysis;

[0075] In turn, the fourth time period, the fifth time period,..., the n time period are analyzed, when the n time period instantaneous pressure drop is not equal to 0 and the n time period instantaneous pressure drop Δp i+n is consistent with the time period t Δp i+n = at + b, it is determined that upstream gas stop or serious water blockage or pipeline rupture occurs. When the n time period instantaneous pressure drop is consistent with the time period t Δp i+n = b (b is a constant), it is determined that leakage occurs near the inlet end of the pipeline / third-party damage.

[0076] In an embodiment, the intelligent fault diagnosis method of the pressure regulating device further comprises,

[0077] Filter before and after pressure analysis, when the pressure difference before and after the filter is ≥30kpa, the system sends a filter blockage alarm, reminding cleaning or replacing the filter;

[0078] Shutoff valve judgment, when the shutoff valve acts, an outlet pressure overpressure alarm signal is sent, and analysis is performed, when the outlet pressure is greater than the preset shutoff pressure, it is determined that the pressure regulator does not work, reminding to repair the diaphragm / valve port, clean the valve port or replace the valve pad.

[0079] In an embodiment, the intelligent fault diagnosis method of the pressure regulating device further comprises, after each fault alarm information, the system performs information entry, confirms the on-site fault point and operation;

[0080] The pressure regulating device information is entered, classified according to the manufacturer and model of the device, and various alarm information of the device is counted; when a fault occurs, the system simultaneously compares the same type of device and the same type of data, and gives the corresponding fault probability, providing operation guidance for device maintenance personnel.

[0081] In an embodiment, the intelligent fault determination method of the pressure regulating device further comprises a leakage condition analysis: when a leakage signal is detected, an alarm signal is sent to remind maintenance of sealing materials and valves.

[0082] Access control alarm analysis: when an access control opening signal is detected, an alarm message is sent to remind that the pressure regulating cabinet door is opened; a timer is started, and when T>1h, it is reminded that the device door is not closed tightly.

[0083] After each fault alarm message, the system performs information input to confirm the on-site fault point and operation.

[0084] The application also provides a pressure regulating device comprising:

[0085] a memory for storing a computer program;

[0086] a processor for executing the computer program to realize the steps of the intelligent fault determination method of the pressure regulating device as described above.

[0087] The application also provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to realize the steps of the intelligent fault determination method of the pressure regulating device as described above.

[0088] It should be noted that the above-described workflow is only illustrative and does not limit the protection scope of the application, and in actual application, a person skilled in the art can select part or all of them to achieve the purpose of the embodiment scheme according to actual needs, which is not limited here.

[0089] In addition, technical details not described in detail in the embodiment can be referred to the intelligent fault determination method of the pressure regulating device provided by any embodiment of the application, which will not be described here.

[0090] In addition, it should be noted that in this paper, the term "includes", "contains" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or system including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or includes elements inherent to such process, method, article or system. Without more limitations, the element defined by the statement "includes a" does not exclude the presence of another identical element in the process, method, article or system including the element.

[0091] The above-mentioned embodiment numbers of the application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0092] Those skilled in the art can clearly understand the above-mentioned embodiment method can be realized by means of software and the necessary general hardware platform, of course, can also be through hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application essentially or say the part of the prior art contribution can be embodied in the form of software products, the computer software product is stored in a storage medium (such as read only memory (Read Only Memory, ROM) / RAM, disk, optical disk), including a number of instructions to make a terminal device (may be a mobile phone, computer, server, or network equipment, etc.) executes the method described in various embodiments of the present application.

[0093] The above is only the preferred embodiment of the present application, not therefore limit the patent scope of the present application, any equivalent structure or equivalent flow transformation using the content of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for intelligent fault determination of a pressure regulating device, characterized in that, Comprise: According to the user type classification, according to the user classification acquisition first time period within the pressure regulating device outlet pressure data, determine the main gas time period; Detect whether the outlet pressure data within the first time period is within the pressure regulating accuracy range, and analyze and determine the corresponding fault type; The import pressure data of the pressure regulating device within the first time period is analyzed, and the import pressure data is compared with the high and low limit alarm value to determine the fault alarm; The user type classification, according to the user classification acquisition first time period within the pressure regulating device outlet pressure data, determine the main gas time period, comprising: If it is a single supply non-resident user, directly analyze all the pressure regulating device outlet pressure data collected within a day; If it is not a single supply non-resident user, analyze the pressure regulating device outlet pressure data of time interval 30 min; The outlet pressure data analysis step comprises: When A = P 出口 i+1 - P 出口 i > 0, let A i = 1; When A = P 出口 i+1 - P 出口 i <0, let A i = -1; When A=P 出口 i+1 -P 出口 i When =0, let A i =0; Analysis A i with respect to time t, when |A i+1 -A i is marked. When I A i+1 -A i I = 0, stop flag; A data fit is performed on the first time period i —t i The time period is marked as a gas dominated time if the fitted curve is a sinusoidal or a cosine function.

2. The method of claim 1, wherein: The detection of whether the outlet pressure data within the first time period is within the pressure regulating accuracy range, and the analysis to determine the corresponding fault type, comprising: When it is detected that the outlet pressure is not within the pressure regulating accuracy range, start the analysis of the outlet pressure, and calculate the first area of the outlet pressure exceeding the upper limit of the accuracy and the second area of the outlet pressure exceeding the lower limit of the accuracy within the first time period; If the first area is not equal to 0 and the second area is not equal to 0, repair the pressure regulator command, signal pipe or needle valve; If the first area is equal to 0 and the second area is less than 0, repair the valve port, valve port pad, signal pipe, valve rod and spring; If the first area is greater than 0 and the second area is equal to 0, repair whether the pressure regulator selection is suitable.

3. The method of claim 1, wherein: The import pressure data of the pressure regulating device within the first time period is analyzed, and the import pressure data is compared with the high and low limit alarm value to determine the fault alarm, comprising: When the import pressure exceeds the set high limit alarm value, the system issues a pipe network gas supply pressure instability / upper pipe network fault alarm; When the import pressure is lower than the set low limit alarm value, and the continuous three import pressure instantaneous pressure drop is greater than 0.05 MPa / min, start the analysis of the instantaneous pressure drop.

4. The method of claim 3, wherein: The instantaneous pressure drop analysis step comprises: When the first time period import pressure is less than the pipe network operation normal pressure value and the first time period instantaneous pressure drop is greater than 0.05 MPa / min; and when the second time period import pressure is less than the pipe network operation normal pressure value and the second time period instantaneous pressure drop is greater than 0.05 MPa / min; and when the third time period import pressure is less than the pipe network operation normal pressure value and the third time period instantaneous pressure drop is greater than 0.05 MPa / min; the system issues an alarm signal, and starts analysis, enters the second step analysis; The fourth time period, the fifth time period,... the n time period are analyzed in sequence, when the n time period momentary pressure drop is not equal to 0 and the n time period momentary pressure drop Δp i+n Complies with the time period t Δp i+n = at + b, it is determined that the upstream air stop or serious water blockage or pipeline rupture occurs; when the n time period momentary pressure drop complies with the time period t Δp i+n = b, it is determined that the pipeline inlet end near the leakage / third party damage occurs.

5. The method of claim 1, wherein: Also comprising: Filter before and after pressure analysis, when the filter before and after pressure difference is greater than or equal to 30 kPa, the system issues a filter blockage alarm, reminding cleaning or replacing the filter; When the cut-off valve acts, an outlet pressure overpressure alarm signal is issued, and analysis is performed, when the outlet pressure is greater than the preset cut-off pressure, it is determined that the pressure regulator does not work, prompting to repair the diaphragm / valve port, clean the valve port or replace the valve pad.

6. The method of claim 1, wherein: Also comprising: After each fault alarm, the system enters the fault alarm information, confirms the field fault point and operation; The system can record the information of the pressure regulating device, classify the devices according to the manufacturers and models, count the various alarm information of the devices, compare the same type of devices and the same type of data when a fault occurs, and give the corresponding fault probability to provide operation guidance for the device maintenance personnel.

7. A pressure regulating device, characterized by The application relates to a computer readable storage medium, comprising: A memory for storing a computer program; A processor for executing the computer program to realize the steps of the intelligent fault judgment method of the pressure regulating device according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that, The computer program is stored on the computer readable storage medium, and the processor executes the computer program to realize the steps of the intelligent fault judgment method of the pressure regulating device according to any one of claims 1 to 6.

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