Remote monitoring and fault diagnosis system for operating state of metering equipment

Abstract

This invention provides a remote monitoring and fault diagnosis system for the operating status of metering equipment, relating to the field of industrial automation instrument monitoring technology. The system includes: collecting and preprocessing actual flow rates and operating parameters at fixed time intervals; calculating an operating condition influence coefficient based on the operating parameters; calculating a flow rate influence coefficient and an instantaneous relative deviation value based on the actual flow rate; calculating a flow rate deviation judgment threshold and determining whether the flow meter is qualified; correcting the instantaneous relative deviation value under qualified conditions; constructing a sliding window to store the correction value; calculating a directional consistency index based on the correction value within the sliding window; determining a deviation fault and issuing an early warning. This invention, by dynamically adjusting the flow rate deviation judgment threshold and combining it with directional consistency trend analysis, achieves full-chain monitoring and diagnosis from instantaneous deviation to long-term cumulative deviation. It improves the accuracy of early warnings while identifying cumulative deviation trends, thereby enhancing the operational reliability and maintenance timeliness of metering equipment.

Description

Technical Field

[0001] This invention relates to the field of industrial automation instrumentation technology, specifically a remote monitoring and fault diagnosis system for the operating status of metering equipment. Background Technology

[0002] Electromagnetic water flow meters are key instruments in industrial water metering and process control. Their measurement accuracy directly affects the quality of water supply network leakage assessment, water trade settlement, and production process control. In actual operation, the measurement accuracy of electromagnetic water flow meters is significantly affected by fluctuations in operating parameters such as fluid temperature and pressure. Furthermore, they may experience progressive faults such as zero-point drift, electrode scaling, or aging of the excitation coil. Failure to detect metering deviations or faults in a timely manner will lead to a continuous increase in cumulative metering errors, resulting in resource waste or production anomalies. Therefore, remote monitoring of the operating status and fault diagnosis of electromagnetic water flow meters have significant practical engineering value.

[0003] In the prior art, CN119935286A discloses a method and system for calibrating ultrasonic water meters based on the Internet of Things (IoT). This technology includes: a data acquisition module that collects flow, temperature, pressure, and status information of the ultrasonic water meter in real time via the IoT; a data preprocessing module that cleans, filters, and formats the collected data to ensure its accuracy and consistency; a calibration parameter setting module that sets calibration parameters such as flow calibration points and temperature compensation coefficients according to the water meter's technical specifications and calibration standards; a calibration calculation module that uses these parameters to calibrate the data; a calibration result verification module that compares the calibrated flow data with standard data to verify its compliance; a result storage and transmission module that stores the calibration results in a remote database and transmits them to relevant personnel or systems; and a fault detection and alarm module that monitors the water meter's status in real time and triggers an alarm upon detecting an abnormality, notifying personnel for handling.

[0004] However, the aforementioned existing technologies, which use fixed flow deviation judgment thresholds, cannot adapt to the changes in deviation tolerance caused by fluctuations in operating conditions such as temperature and pressure, as well as deviations of the flow operating point from the optimal range, during actual operation of electromagnetic water flow meters. This results in low accuracy of instantaneous out-of-tolerance warnings and frequent misjudgments and missed detections. Furthermore, existing methods only focus on whether a single instantaneous deviation exceeds the limit, lacking the ability to track and quantitatively analyze the long-term trend of deviation direction changes. This makes it difficult to identify small but persistent systematic cumulative offset faults, and fails to achieve full-chain diagnosis from instantaneous anomalies to trend-based faults, affecting the operational reliability and timely maintenance of metering equipment.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide a remote monitoring and fault diagnosis system for the operating status of metering equipment, thereby solving the problems mentioned in the background art. This invention dynamically calculates the operating condition influence coefficient and flow influence coefficient based on the deviation of operating parameters and flow values ​​from upper and lower limit thresholds, enabling the flow deviation judgment threshold to adaptively adjust with environmental changes and range deviations. It normalizes and corrects the instantaneous relative deviation value under qualified conditions and constructs a sliding window; then, by calculating the directional consistency index of the deviation direction within the window, it quantitatively assesses the cumulative offset trend and provides graded early warnings. This invention achieves full-chain remote monitoring and diagnosis from instantaneous deviation to long-term cumulative offset.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] Remote monitoring and fault diagnosis system for metering equipment operation status:

[0009] Parameter acquisition and preprocessing module: Acquires the actual flow rate and operating parameters of the electromagnetic water flow meter at fixed time intervals. The operating parameters include electromagnetic water temperature data and electromagnetic water pressure data. The module also preprocesses the acquired actual flow rate and operating parameters.

[0010] Operating condition flow coupling analysis and qualification judgment module: Based on the pre-processed electromagnetic water temperature data and electromagnetic water pressure data, calculate the operating condition influence coefficient; based on the pre-processed actual flow value, calculate the flow influence coefficient Cd and the instantaneous relative deviation value of the flow; and based on the operating condition influence coefficient and the flow influence coefficient, calculate the flow deviation judgment threshold. Compare the instantaneous relative deviation value of the flow with the flow deviation judgment threshold to determine whether the electromagnetic water flow meter is qualified.

[0011] Deviation correction module: When judging the electromagnetic water flow meter to be qualified, the instantaneous relative deviation value of the flow is corrected to obtain the corrected instantaneous relative deviation value. A sliding window is constructed, and the corrected instantaneous relative deviation value is input into the sliding window.

[0012] Offset Diagnosis Module: Based on the corrected instantaneous relative deviation value within the sliding window, calculates the directional consistency index, and determines whether the electromagnetic water flow meter has an offset fault based on the magnitude of the directional consistency index, and generates a corresponding early warning signal.

[0013] Furthermore, the method for preprocessing the collected actual flow rate values ​​and operating parameters is as follows:

[0014] The preprocessing involves cleaning the collected actual flow rate values ​​and operating parameters.

[0015] The data cleaning process for the collected actual flow rate values ​​and operating parameters includes handling outliers and missing values. Statistical methods are used to identify outliers in the actual flow rate values, electromagnetic water temperature data, and electromagnetic water pressure data. Outliers in the actual flow rate values, electromagnetic water temperature data, and electromagnetic water pressure data are deleted. Linear interpolation is used to fill in the missing values ​​in the actual flow rate values, electromagnetic water temperature data, and electromagnetic water pressure data.

[0016] Furthermore, the formula used to calculate the operating condition influence coefficient is as follows:

[0017]

[0018] in, This is the operating condition influence coefficient;

[0019] The temperature data of the electromagnetic water after preprocessing;

[0020] The preset electromagnetic water reference temperature;

[0021] This is the preprocessed electromagnetic water pressure data;

[0022] The preset electromagnetic water reference pressure;

[0023] , These are the preset weighting coefficients for positive and negative temperature deviations, respectively, and they satisfy the following conditions: >0, >0;

[0024] , These are the preset weighting coefficients for positive and negative pressure deviations, respectively, and they satisfy the following conditions: >0, >0.

[0025] Furthermore, the formula used to calculate the flow influence coefficient Cd is as follows:

[0026]

[0027] in, This is the flow impact coefficient;

[0028] This represents the actual flow rate value after preprocessing.

[0029] , These are the preset lower and upper traffic thresholds, respectively, and both satisfy 0 < 0. < ;

[0030] The preset traffic sensitivity coefficient, and ≥0;

[0031] The preset power exponent, and ≥1;

[0032] The formula for calculating the instantaneous relative deviation of the flow rate is:

[0033]

[0034] in, This represents the instantaneous relative deviation of the flow rate.

[0035] This is the preset baseline flow rate value.

[0036] Furthermore, the formula used to calculate the flow deviation judgment threshold is as follows:

[0037]

[0038] in, The threshold for determining flow deviation;

[0039] This is the preset baseline deviation threshold;

[0040] The coupling coefficient is a preset value, which is determined based on calibration experiments conducted under different combinations of temperature, pressure, and flow rate.

[0041] Furthermore, the logic for determining whether the electromagnetic water flow meter is qualified is as follows:

[0042] when ≤ When the electromagnetic water flow meter is deemed qualified;

[0043] when > If the electromagnetic water flow meter is found to be unqualified, an instantaneous over-tolerance warning will be issued.

[0044] Furthermore, the correction of the instantaneous relative deviation value of the flow rate is performed in the following manner:

[0045] The instantaneous relative deviation value of the flow rate Divide by the current actual flow rate and the flow rate deviation threshold under operating conditions. To obtain the corrected instantaneous relative deviation value .

[0046] Furthermore, the method for constructing the sliding window is as follows:

[0047] Taking the current time when the electromagnetic water flow meter is deemed qualified as the endpoint, backtracking in the reverse direction of time sequence, extracting the corrected instantaneous relative deviation values ​​corresponding to N consecutive events in which the electromagnetic water flow meter is qualified, as a sliding window, where N is the total number of events in the sliding window in which the electromagnetic water flow meter is qualified, N is a preset positive integer, and N≥5.

[0048] After N electromagnetic water flow meter qualified events have been entered in the sliding window, each time a new electromagnetic water flow meter qualified event is entered, the corrected instantaneous relative deviation value corresponding to the earliest electromagnetic water flow meter qualified event in the sliding window is removed, so that the sliding window always contains the corrected instantaneous relative deviation values ​​corresponding to the most recent N electromagnetic water flow meter qualified events.

[0049] Furthermore, the formula used to calculate the directional consistency index is as follows:

[0050]

[0051] in, It is a directional consistency index;

[0052] For the first in the sliding window The deviation direction vector of an event indicating that an electromagnetic water flow meter has passed inspection. The calculation is based on the corrected instantaneous relative deviation value, and the formula used is as follows: ;

[0053] For summation index.

[0054] Furthermore, the logic for determining whether the electromagnetic water flow meter has an offset fault is as follows:

[0055] when ≥ When the electromagnetic water flow meter is found to have a severe systematic cumulative offset trend, an emergency warning signal is generated.

[0056] when When the electromagnetic water flow meter is found to have a slight systematic cumulative offset trend, a warning signal of concern is generated.

[0057] when < When the electromagnetic water flow meter is determined to have no systematic cumulative offset trend, a normal operation signal is generated.

[0058] in, The preset system high offset threshold, The preset system low offset threshold, and meets the following requirements. > >0.

[0059] Compared with the prior art, the beneficial effects of the present invention are:

[0060] This invention calculates the operating condition influence coefficient based on operating parameters and the flow influence coefficient based on the deviation of the actual flow value from the upper and lower limit thresholds. This allows the flow deviation judgment threshold to dynamically increase with fluctuations in operating conditions and deviations of the flow operating point from the optimal range. This quantifies the impact of environmental changes and range deviations and incorporates them into the qualification judgment standard, avoiding misjudgments or omissions under complex operating conditions caused by traditional fixed thresholds, and improving the accuracy of instantaneous over-tolerance warnings. The deviation correction module normalizes and corrects the instantaneous relative deviation value under qualified conditions, providing a unified comparison benchmark for the degree of deviation under different operating conditions and flow rates. The offset diagnosis module calculates the directional consistency index of the deviation direction within the sliding window, quantitatively assessing whether there is a systematic cumulative trend in the deviation and generating corresponding warning signals. This achieves full-chain remote monitoring and fault diagnosis of electromagnetic water flow meters, from instantaneous over-tolerance to long-term cumulative offset, improving the operational reliability, maintenance timeliness, and intelligence level of metering equipment. Attached Figure Description

[0061] Figure 1 Block diagram of a remote monitoring and fault diagnosis system for metering equipment operating status;

[0062] Figure 2 This is a schematic diagram of the operation process of a remote monitoring and fault diagnosis system for metering equipment. Detailed Implementation

[0063] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0064] It should be noted that, unless otherwise defined, the technical or scientific terms used in this invention should have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0065] Example:

[0066] Please see Figures 1-2 The present invention provides a technical solution:

[0067] This remote monitoring and fault diagnosis system for metering equipment operation status can be widely applied to water flow metering scenarios in the intelligent manufacturing equipment industry, and is especially suitable for fields with high requirements for metering reliability, such as smart water supply networks and industrial circulating water systems. The system includes the following functional modules:

[0068] Parameter acquisition and preprocessing module: Periodic acquisition is performed at fixed time intervals. The acquisition period can be flexibly configured according to the type of field equipment. For example, in the cooling water flow monitoring scenario of other metal processing machinery manufacturing such as machine tool fieldbus control system, a shorter acquisition interval can be set to capture rapidly fluctuating flow signals. Each acquisition synchronously obtains the actual flow value of the electromagnetic water flow meter and the corresponding operating parameters. The operating parameters include electromagnetic water temperature data and electromagnetic water pressure data. After the above data acquisition is completed, the acquired actual flow value and operating parameters are preprocessed to eliminate noise or abnormal fluctuations that may exist in the original data, making the data more suitable for subsequent analysis and judgment.

[0069] The method for preprocessing the collected actual flow rate values ​​and operating parameters is as follows:

[0070] The preprocessing involves cleaning the collected actual flow rate values ​​and operating parameters.

[0071] The data cleaning process for the collected actual flow rate values ​​and operating parameters includes handling outliers and missing values. Statistical methods are used to identify outliers in the actual flow rate, electromagnetic water temperature, and electromagnetic water pressure data. Specifically, by calculating the mean and standard deviation of each data sequence, data points exceeding three times the standard deviation of the mean are identified as outliers. After identification, outliers in the actual flow rate, electromagnetic water temperature, and electromagnetic water pressure data are deleted to avoid interfering with subsequent analysis. For missing values ​​in the actual flow rate, electromagnetic water temperature, and electromagnetic water pressure data, linear interpolation is used for filling. For a missing position, the two nearest valid data points are first identified, and their corresponding times and values ​​are recorded. Then, the time interval and value difference between the two valid points are calculated. Next, the proportion of the time interval between the missing position and the previous valid point to the total time interval between the two valid points is multiplied by the value difference and added to the value of the previous valid point. The result is the estimated value for the missing position, and this estimated value is used to fill in the missing value, thus forming a continuous and complete data sequence, ensuring the temporal continuity and integrity of the data.

[0072] Operating condition flow coupling analysis and qualification judgment module: Based on pre-processed electromagnetic water temperature and pressure data, it calculates the operating condition influence coefficient. This coefficient reflects the combined impact of the deviation of the current temperature from the reference temperature and the deviation of the current pressure from the reference pressure on the allowable deviation of flow measurement. The larger the deviation, the larger the operating condition influence coefficient, indicating that the allowable deviation range should be appropriately widened. Based on the pre-processed actual flow value, it calculates the flow influence coefficient Cd. This coefficient reflects the impact of the actual flow value deviating from the preset lower or upper flow threshold on the stability of flow measurement. When the actual flow is within the optimal range... The flow influence coefficient is 1. When the actual flow rate is lower than the lower threshold or higher than the upper threshold, the flow influence coefficient is greater than 1, indicating that the deviation from the optimal working range is more serious, and the allowable deviation range should be increased accordingly. At the same time, the instantaneous relative deviation value of the flow rate is calculated. This instantaneous relative deviation value of the flow rate reflects the relative deviation between the current actual flow rate value and the preset reference flow rate value. Based on the working condition influence coefficient and the flow influence coefficient, the flow deviation judgment threshold is calculated. This flow deviation judgment threshold adapts to the fluctuation of the working condition and the deviation of the flow working point from the optimal range. The instantaneous relative deviation value of the flow rate is compared with the flow deviation judgment threshold to determine whether the electromagnetic water flow meter is qualified.

[0073] This module is designed in accordance with the standardized data interface specifications in the field of industrial automatic control system device manufacturing, and can be seamlessly integrated with existing DCS, PLC and other control systems.

[0074] The formula used to calculate the operating condition influence coefficient is as follows:

[0075]

[0076] in, This is the operating condition influence coefficient;

[0077] The temperature data of the electromagnetic water after preprocessing;

[0078] The preset electromagnetic water reference temperature;

[0079] This is the preprocessed electromagnetic water pressure data;

[0080] The preset electromagnetic water reference pressure;

[0081] , These are the preset weighting coefficients for positive and negative temperature deviations, respectively, and they satisfy the following conditions: >0, >0;

[0082] , These are the preset weighting coefficients for positive and negative pressure deviations, respectively, and they satisfy the following conditions: >0, >0;

[0083] Regarding the temperature item ,when > At this time The temperature term is , The larger the value or the greater the positive temperature deviation, the higher this value indicates that high temperatures will lead to increased fluid conductivity, thermal expansion of the lining, and decreased measurement stability. Therefore, the allowable flow deviation threshold should be appropriately relaxed. < At this time, the temperature term is , The larger the value or the greater the negative temperature deviation, the larger this value indicates that low temperatures lead to decreased fluid conductivity and weakened signal strength. Simultaneously, increased fluid viscosity may cause changes in the flow velocity profile, and lining shrinkage may produce minor deformations. All these factors combined result in decreased measurement stability; therefore, the allowable flow deviation threshold should be correspondingly relaxed. = When the value is 1, it indicates that the current temperature is within the ideal working range, and there is no need to relax the deviation judgment standard due to temperature factors.

[0084] The formula used to calculate the flow influence coefficient Cd is as follows:

[0085]

[0086] in, This is the flow impact coefficient;

[0087] This represents the actual flow rate value after preprocessing.

[0088] , These are the preset lower and upper traffic thresholds, respectively, and both satisfy 0 < 0. < ;

[0089] The preset flow sensitivity coefficient, the flow sensitivity coefficient These are non-negative parameters determined based on the optimal operating range, range ratio, and historical calibration data of the electromagnetic water flow meter. ≥0;

[0090] The preset power exponent, and ≥1;

[0091] when hour, ,at this time, The smaller, The larger the value of the term, the more likely it is to lead to An increase in the value indicates that too low a flow rate will lead to a low flow velocity, a decrease in the signal-to-noise ratio, and an unstable fluid state. The natural fluctuation range of the measurement error will increase. Therefore, the allowable flow deviation judgment threshold should be increased accordingly to avoid misjudging normal error fluctuations as equipment malfunctions.

[0092] when hour, ,at this time, The larger, The larger the value of the term, the more likely it is to lead to An increase in the value indicates that excessive flow rate will lead to enhanced turbulence, increased pressure loss, and possible nonlinearity in sensor response. The natural fluctuation of measurement error will also increase. Therefore, the allowable flow rate deviation threshold should be increased accordingly.

[0093] when hour, This indicates that the actual flow rate is within the preset optimal operating range. Within this range, the flow velocity is within a reasonable range, the signal-to-noise ratio is sufficient, the fluid flow is stable, the sensor response has good linearity and stability, and the natural fluctuation of the measurement error is small. Therefore, there is no need to further relax the deviation judgment boundary based on the magnitude of the flow rate.

[0094] The formula for calculating the instantaneous relative deviation of the flow rate is:

[0095]

[0096] in, This represents the instantaneous relative deviation of the flow rate.

[0097] This is the preset baseline flow rate value.

[0098] The formula used to determine the flow deviation threshold is as follows:

[0099]

[0100] in, The threshold for determining flow deviation;

[0101] This is the preset baseline deviation threshold;

[0102] The coupling coefficient is a preset value, determined through calibration experiments under different combinations of temperature, pressure, and flow rate. Specifically, under different combinations of temperature, pressure, and flow rate, the maximum permissible deviation that makes the flow meter qualified is divided by the coefficient of performance. The calculated theoretical threshold is used as the ratio, which is the measured value of the coupling coefficient under that working condition. The maximum or average value under each working condition is taken as the theoretical threshold. .

[0103] The logic for determining whether an electromagnetic water flow meter is qualified is as follows:

[0104] when ≤ When the actual flow rate measured is within the range determined by the operating conditions and the flow rate operating point, it indicates that the relative deviation between the actual flow rate and the preset reference flow rate does not exceed the allowable range. The electromagnetic water flow meter is deemed qualified, its metering performance meets the usage requirements, and no intervention is required.

[0105] when > If the error occurs, it indicates that the relative deviation between the actual flow rate and the preset reference flow rate has exceeded the allowable range determined by the operating conditions and the flow rate operating point. The electromagnetic water flow meter is deemed unqualified, and an instantaneous over-tolerance warning is issued, indicating that there is a significant measurement deviation. The flow meter is then further manually checked to confirm whether there is any sudden interference or temporary malfunction.

[0106] Deviation Correction Module: When determining whether an electromagnetic water flow meter is qualified, the instantaneous relative deviation value of the flow rate is corrected to obtain a corrected instantaneous relative deviation value. This correction operation aims to eliminate the threshold influence caused by the deviation between the current operating condition and the flow rate operating point, so that the degree of deviation at different times is comparable. After completing the correction of the instantaneous relative deviation value of the flow rate, a sliding window is further constructed, and the corrected instantaneous relative deviation value is input into the sliding window for subsequent trend analysis.

[0107] The correction method for the instantaneous relative deviation of the flow rate is as follows:

[0108] The instantaneous relative deviation value of the flow rate Divide by the current actual flow rate and the flow rate deviation threshold under operating conditions. To obtain the corrected instantaneous relative deviation value This correction process essentially maps the original instantaneous deviation to a normalized scale that adapts to the current dynamic judgment boundary, ensuring a unified comparison benchmark for the degree of deviation obtained under different operating condition fluctuations and operating point deviations. Through this division operation, the corrected... It can eliminate the dynamic stretching effect of the operating condition influence coefficient and flow rate influence coefficient on the flow deviation judgment threshold, thereby truly reflecting the relative deviation position of the flow meter from its qualified boundary at the current moment, and providing dimensionless and scale-consistent input data for subsequent trend analysis and cumulative offset identification.

[0109] The method for constructing the sliding window is as follows:

[0110] Taking the current time when the electromagnetic water flow meter is deemed qualified as the endpoint, backtracking in the reverse direction of time sequence, extracting the corrected instantaneous relative deviation values ​​corresponding to N consecutive events in which the electromagnetic water flow meter is qualified, as a sliding window, where N is the total number of events in the sliding window in which the electromagnetic water flow meter is qualified, N is a preset positive integer, and N≥5.

[0111] Once N events indicating that an electromagnetic flow meter has passed have been entered into the sliding window, each time a new event indicating that an electromagnetic flow meter has passed is entered, the corrected instantaneous relative deviation value corresponding to the earliest event indicating that an electromagnetic flow meter has passed is removed from the sliding window. This ensures that the sliding window always contains the corrected instantaneous relative deviation values ​​corresponding to the most recent N events indicating that an electromagnetic flow meter has passed. In this way, the sliding window is dynamically updated over time, ensuring that the number of samples used for analysis remains constant while also ensuring that the data reflects the most recent operating status of the equipment.

[0112] Offset Diagnosis Module: Based on the corrected instantaneous relative deviation value within the sliding window, a directional consistency index is calculated. This index reflects the degree of consistency in the instantaneous relative deviation direction among each qualified event within the sliding window. A directional consistency index closer to 1 indicates a high degree of convergence in deviation directions, signifying a clear unidirectional systematic cumulative offset trend. A directional consistency index closer to 0 indicates random fluctuations in deviation directions, with no significant systematic offset tendency. Based on the magnitude of the directional consistency index, the module determines whether the electromagnetic water flow meter has an offset fault and generates corresponding early warning signals. Through a tiered judgment and early warning mechanism, early identification and differentiated response to offset faults are achieved.

[0113] The formula used to calculate the directional consistency index is as follows:

[0114]

[0115] in, It is a directional consistency index;

[0116] For the first in the sliding window The deviation direction vector of an event indicating that an electromagnetic water flow meter has passed inspection. The calculation is based on the corrected instantaneous relative deviation value, and the formula used is as follows: ;

[0117] For summation index.

[0118] The feature is that the logic for determining whether the electromagnetic water flow meter has a displacement fault is as follows:

[0119] when ≥ When the electromagnetic water flow meter shows a significant and continuous systematic cumulative offset trend, that is, the deviation direction remains highly consistent for a long time, the offset has accumulated to a serious level, which can easily lead to a large accumulation of measurement errors and affect the reliability of subsequent data. It is determined that the electromagnetic water flow meter has a severe systematic cumulative offset trend, and an emergency warning signal is generated. On-site or remote management personnel need to intervene and investigate quickly.

[0120] when When the deviation direction shows a certain degree of consistency, the cumulative degree is not serious. Although the measured value has a slow drift tendency, it has not yet caused significant error. It is determined that the electromagnetic water flow meter has a slight systematic cumulative offset trend, generating a warning signal to indicate that it is necessary to strengthen observation or arrange planned inspections to avoid developing into severe offset.

[0121] when < When the electromagnetic water flow meter shows no systematic cumulative offset trend, the deviation direction is randomly distributed and cancels each other out, and there is no obvious same-direction accumulation characteristic. It is determined that the electromagnetic water flow meter does not have a systematic cumulative offset trend, and a normal operation signal is generated. No special intervention is required, and monitoring and maintenance should continue according to the regular cycle.

[0122] in, The preset system high offset threshold, The preset system low offset threshold, and meets the following requirements. > >0;

[0123] The dynamic threshold and trend analysis technology adopted in this system reflects the trend of development towards self-adaptation and intelligence in the field of experimental analysis instrument manufacturing, such as intelligent measuring instruments, and has high technical foresight and engineering practical value.

[0124] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0125] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution.

[0126] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0127] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A remote monitoring and fault diagnosis system for the operating status of metering equipment, characterized in that: Parameter acquisition and preprocessing module: Acquires the actual flow rate and operating parameters of the electromagnetic water flow meter at fixed time intervals. The operating parameters include electromagnetic water temperature data and electromagnetic water pressure data. The module also preprocesses the acquired actual flow rate and operating parameters. Operating condition flow coupling analysis and qualification judgment module: Based on the pre-processed electromagnetic water temperature data and electromagnetic water pressure data, calculate the operating condition influence coefficient; based on the pre-processed actual flow value, calculate the flow influence coefficient Cd and the instantaneous relative deviation value of the flow; and based on the operating condition influence coefficient and the flow influence coefficient, calculate the flow deviation judgment threshold. Compare the instantaneous relative deviation value of the flow with the flow deviation judgment threshold to determine whether the electromagnetic water flow meter is qualified. Deviation correction module: When judging the electromagnetic water flow meter to be qualified, the instantaneous relative deviation value of the flow is corrected to obtain the corrected instantaneous relative deviation value. A sliding window is constructed, and the corrected instantaneous relative deviation value is input into the sliding window. Offset Diagnosis Module: Based on the corrected instantaneous relative deviation value within the sliding window, calculates the directional consistency index, and determines whether the electromagnetic water flow meter has an offset fault based on the magnitude of the directional consistency index, and generates a corresponding early warning signal.

2. The system according to claim 1, wherein: The method for preprocessing the collected actual flow rate values ​​and operating parameters is as follows: The preprocessing involves cleaning the collected actual flow rate values ​​and operating parameters. The data cleaning process for the collected actual flow rate values ​​and operating parameters includes handling outliers and missing values. Statistical methods are used to identify outliers in the actual flow rate values, electromagnetic water temperature data, and electromagnetic water pressure data. Outliers in the actual flow rate values, electromagnetic water temperature data, and electromagnetic water pressure data are deleted. Linear interpolation is used to fill in the missing values ​​in the actual flow rate values, electromagnetic water temperature data, and electromagnetic water pressure data.

3. The system according to claim 1, wherein: The formula used to calculate the operating condition influence coefficient is as follows: in, This is the operating condition influence coefficient; The temperature data of the electromagnetic water after preprocessing; The preset electromagnetic water reference temperature; This is the preprocessed electromagnetic water pressure data; The preset electromagnetic water reference pressure; , These are the preset weighting coefficients for positive and negative temperature deviations, respectively, and they satisfy the following conditions: >0, >0; , These are the preset weighting coefficients for positive and negative pressure deviations, respectively, and they satisfy the following conditions: >0, >

0.

4. The remote monitoring and fault diagnosis system for the operating status of metering equipment according to claim 3, characterized in that: The formula used to calculate the flow rate influence coefficient Cd is as follows: in, This is the flow impact coefficient; This represents the actual flow rate after preprocessing. , These are the preset lower and upper traffic thresholds, respectively, and both satisfy 0 < 0. < ; The preset traffic sensitivity coefficient, and ≥0; The preset power exponent, and ≥1; The formula for calculating the instantaneous relative deviation of the flow rate is: in, This represents the instantaneous relative deviation of the flow rate. This is the preset baseline flow rate value.

5. The remote monitoring and fault diagnosis system for the operating status of metering equipment according to claim 4, characterized in that: The formula used to determine the flow deviation threshold is as follows: in, The threshold for determining flow deviation; This is the preset baseline deviation threshold; The coupling coefficient is a preset value, which is determined based on calibration experiments conducted under different combinations of temperature, pressure, and flow rate.

6. The remote monitoring and fault diagnosis system for the operating status of metering equipment according to claim 5, characterized in that: The logic for determining whether an electromagnetic water flow meter is qualified is as follows: when ≤ When the electromagnetic water flow meter is deemed qualified; when > If the electromagnetic water flow meter is found to be unqualified, an instantaneous over-tolerance warning will be issued.

7. The remote monitoring and fault diagnosis system for the operating status of metering equipment according to claim 1, characterized in that: The correction method for the instantaneous relative deviation of the flow rate is as follows: The instantaneous relative deviation value of the flow rate Divide by the current actual flow rate and the flow rate deviation threshold under operating conditions. To obtain the corrected instantaneous relative deviation value .

8. The remote monitoring and fault diagnosis system for the operating status of metering equipment according to claim 7, characterized in that: The method for constructing the sliding window is as follows: Taking the current time when the electromagnetic water flow meter is deemed qualified as the endpoint, backtracking in the reverse direction of time sequence, extracting the corrected instantaneous relative deviation values ​​corresponding to N consecutive events in which the electromagnetic water flow meter is qualified, as a sliding window, where N is the total number of events in the sliding window in which the electromagnetic water flow meter is qualified, N is a preset positive integer, and N≥5. After N electromagnetic water flow meter qualified events have been entered in the sliding window, each time a new electromagnetic water flow meter qualified event is entered, the corrected instantaneous relative deviation value corresponding to the earliest electromagnetic water flow meter qualified event in the sliding window is removed, so that the sliding window always contains the corrected instantaneous relative deviation values ​​corresponding to the most recent N electromagnetic water flow meter qualified events.

9. The remote monitoring and fault diagnosis system for the operating status of metering equipment according to claim 1, characterized in that: The formula used to calculate the directional consistency index is as follows: in, It is a directional consistency index; For the first in the sliding window The deviation direction vector of an event indicating that an electromagnetic water flow meter has passed inspection. The calculation is based on the corrected instantaneous relative deviation value, and the formula used is as follows: ; For summation index.

10. The remote monitoring and fault diagnosis system for the operating status of metering equipment according to claim 9, characterized in that: The logic for determining whether the electromagnetic water flow meter has a misalignment fault is as follows: when ≥ When the electromagnetic water flow meter is found to have a severe systematic cumulative offset trend, an emergency warning signal is generated. when When the electromagnetic water flow meter is found to have a slight systematic cumulative offset trend, a warning signal of concern is generated. when < When the electromagnetic water flow meter is determined to have no systematic cumulative offset trend, a normal operation signal is generated. in, The preset system high offset threshold, The preset system low offset threshold, and meets the following requirements. > >0.

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