Portable pressure transmitter fault judgment device and fault removal method thereof
By analyzing the fluctuations and correlations of the monitoring parameters of pressure transmitters and combining them with external pressure excitation tests, the problem of low efficiency in traditional detection methods has been solved, enabling early warning and accurate judgment of pressure transmitter faults.
Patent Information
- Application Number
- CN202511953978.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-23
- Publication Date
- 2026-03-06
AI Technical Summary
In the process of oil production and transportation in oilfields, pressure transmitters have various failure modes. Traditional detection methods are inefficient, unable to achieve early warning and accurate judgment, and difficult to distinguish between normal operating condition fluctuations and real faults.
By analyzing the fluctuation, correlation, and trend discrepancy of the monitoring parameters of the pressure transmitter, and combining this with external pressure excitation testing, the fault type can be identified and determined.
It enables early warning and accurate diagnosis of pressure transmitter failures, avoiding blind dismantling and improving detection efficiency and accuracy.
Smart Images
Figure CN121612489A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of fault detection technology, specifically to a portable pressure transmitter fault diagnosis device and its fault troubleshooting method. Background Technology
[0002] In the process of oil production and transportation in oilfields, pressure transmitters serve as key process monitoring instruments, continuously monitoring the pressure status of pipelines and equipment. The accuracy and reliability of their data are directly related to production safety, process optimization, and equipment maintenance efficiency.
[0003] Oilfield operating conditions are complex and variable. Pressure signals are affected by a combination of factors such as flow regulation, valve action, and multiphase flow impact. This results in pressure data under normal operating conditions exhibiting strong random fluctuations and dynamic changes, making it difficult to effectively distinguish between normal operating condition fluctuations and actual early faults. At the same time, pressure transmitters have diverse fault modes, involving multiple components such as sensors, circuits, and power supplies. Traditional methods rely on periodic disassembly and inspection for testing, which is inefficient and cannot provide early warning of faults or accurately determine the type of fault. Summary of the Invention
[0004] To address the aforementioned technical problems, a portable pressure transmitter fault diagnosis device and its troubleshooting method are provided to resolve the existing issues.
[0005] The solution to the technical problem of this application is to provide a portable pressure transmitter fault diagnosis device and a fault diagnosis method thereof, including the following steps: In a first aspect, embodiments of this application provide a method for troubleshooting a portable pressure transmitter, the method comprising the following steps: During the oil production and transportation process in the oil field, all monitoring parameters of each pressure transmitter at each moment in each monitoring cycle are acquired; For each pressure transmitter in each monitoring cycle, analyze the data fluctuation of each monitoring parameter, calculate the fluctuation change of each monitoring parameter, assess the degree of deviation from the overall fluctuation level, and determine the fluctuation deviation of each monitoring parameter. By analyzing the correlation of changes in different monitoring parameters of the pressure transmitter under normal operating conditions during historical periods, all related parameters of each monitoring parameter are obtained. For each pressure transmitter in each monitoring cycle, based on the inconsistency of the changing trends between each monitoring parameter and its different related parameters, the trend discrepancy of each monitoring parameter is determined. Combined with the fluctuation deviation, the abnormal assessment value of each pressure transmitter in each monitoring cycle is determined, the faulty pressure transmitter is identified, and it is included in the list of pressure transmitters to be inspected. The pressure transmitters on the test list are tested by applying external pressure, and the output response of the pressure transmitter under test is used to determine the fault type.
[0006] Preferably, the calculation of the fluctuation changes of each monitoring parameter includes: For each monitoring parameter of each pressure transmitter, calculate the average value of the data at all times within each monitoring cycle; The difference between the data of each monitoring parameter at each time point within each monitoring period and the average value is taken as the relative difference; The fluctuation change is the result of positively integrating all relative differences of each monitoring parameter within each monitoring period.
[0007] Preferably, determining the fluctuation deviation of each monitoring parameter includes: For each monitoring parameter, the average value of the fluctuation changes of all pressure transmitters in each monitoring cycle is taken as the overall fluctuation value. The fluctuation deviation is positively correlated with the fluctuation change, but negatively correlated with the overall fluctuation.
[0008] Preferably, the calculation process of the fluctuation deviation is as follows: the difference between the fluctuation change and the overall fluctuation is taken as the fluctuation deviation.
[0009] Preferably, obtaining all associated parameters for each monitoring parameter includes: Collect monitoring parameters of the pressure transmitter under normal operating conditions during historical periods to form a historical reference set, and calculate the correlation between each monitoring parameter in the historical reference set and the other monitoring parameters. For each monitoring parameter in the historical reference set, select all other monitoring parameters whose correlation with it is greater than a preset threshold, and mark them as all associated parameters of each monitoring parameter.
[0010] Preferably, determining the trend discrepancy of each monitoring parameter includes: Calculate the difference between the data of each monitoring parameter at two adjacent time points, and record it as the difference amount; Calculate the differences between all the differences between each monitoring parameter and each associated parameter in each monitoring period, and use this as the trend difference. The trend discrepancy is the result of positively fusing the trend differences between each monitoring parameter and all its associated parameters.
[0011] Preferably, the abnormal assessment value is positively correlated with the fluctuation deviation and trend discrepancy of all monitoring parameters.
[0012] Preferably, the method for identifying faulty pressure transmitters includes: performing anomaly detection on the abnormal evaluation values of all pressure transmitters in each monitoring cycle, and screening out pressure transmitters with anomalies. If a pressure transmitter shows anomalies in multiple consecutive monitoring cycles, then the pressure transmitter is faulty; otherwise, it is not faulty.
[0013] Preferably, the fault type determination process is as follows: If the change in the output electrical signal of the pressure transmitter under test is inconsistent with the change in the excitation pressure when a changing pressure excitation is applied, it is determined that the pressure sensing element of the pressure transmitter under test is faulty. If the output electrical signal of the pressure transmitter under test fluctuates continuously when a constant pressure excitation is applied, the measurement conversion circuit of the pressure transmitter under test is determined to be faulty. If the calculated pressure value corresponding to the output electrical signal of the pressure transmitter under test is inconsistent with the known constant standard air pressure when a known constant standard pressure excitation is applied, it is determined that the pressure transmitter under test has zero drift or abnormal temperature drift compensation circuit. If, under constant pressure excitation, adjusting the voltage of the power supply to the pressure transmitter under test causes fluctuations in the output electrical signal of the pressure transmitter under test, then the internal power supply voltage regulator module of the pressure transmitter under test is determined to be faulty. If the pressure transmitter under test does not output any electrical signal after being correctly connected when a constant pressure excitation is applied, then the power supply of the pressure transmitter under test is determined to be faulty.
[0014] Secondly, this application also provides a portable pressure transmitter fault diagnosis device. The device includes at least a standard pressure gauge, an air pump, a test line input interface, and an adjustable power supply. The test line input interface connects to the pressure transmitters on the test list. The air pump provides a standard pressure source. The standard pressure gauge monitors the input pressure. The adjustable power supply powers the pressure transmitter under test. This device applies pressure excitation to the pressure transmitters on the test list for testing and diagnosis.
[0015] This application has at least the following beneficial effects: This application analyzes the data volatility of individual monitoring parameters of each pressure transmitter, calculates the amount of volatility change, and determines the degree of volatility deviation of each pressure transmitter's monitoring parameters in each monitoring cycle by comparing the volatility of each pressure transmitter's monitoring parameter with the overall volatility of all pressure transmitters. Its advantages include dynamically identifying individuals whose behavior deviates from the overall pattern, assessing not only the volatility of individual transmitters but also comparing their volatility levels within the context of the entire group's operating conditions. This effectively eliminates normal synchronous volatility caused by changes in operating conditions, thus accurately identifying individuals with abnormal volatility. Furthermore, it obtains all related parameters for each monitoring parameter, which allows for the mining of inherent correlations between monitoring parameters using historical data under normal operating conditions. This facilitates subsequent analysis of situations where the coordinated changes between correlated monitoring parameters are disrupted. Finally, it determines the trend discrepancy of each monitoring parameter, which helps analyze inconsistencies in the coordinated changes between correlated monitoring parameters and reveals abnormal states of signal linkage within the pressure transmitters. This system reflects the possibility of abnormal data trends caused by pressure transmitter malfunctions; it determines the abnormal assessment value of each pressure transmitter in each monitoring cycle, identifying faulty pressure transmitters. Its beneficial effect lies in comprehensively evaluating whether the data change pattern of the pressure transmitter conforms to normal operating condition characteristics from two dimensions: its own data volatility and trend changes, reflecting the overall health status of the pressure transmitter and thus identifying faulty pressure transmitters. It also tests pressure transmitters on the inspection list by applying external pressure excitation and using the output response of the tested pressure transmitter to determine the fault type. Its beneficial effect is that it uses a portable device to apply standard pressure excitation to the faulty pressure transmitter and observes the output response of the tested pressure transmitter, directly linking complex online data analysis results with clear physical test phenomena. This achieves precise location of specific faulty components within the pressure transmitter, avoiding blindly dismantling and sending electrical components for repair after a fault occurs. It realizes a closed loop of fault troubleshooting from early warning to precise location, enabling early warning of faults and accurate judgment of fault types. Attached Figure Description
[0016] The following description, in conjunction with the accompanying drawings, provides a more detailed explanation of a troubleshooting method for a portable pressure transmitter according to this application.
[0017] Figure 1 A flowchart illustrating the steps of a portable pressure transmitter troubleshooting method provided in this application embodiment; Figure 2 A flowchart illustrating the steps of the method for obtaining the trend discrepancy of various monitoring parameters provided in the embodiments of this application; Figure 3 A schematic diagram of the overall structure of the portable pressure transmitter fault diagnosis device provided in the embodiments of this application; Figure 4 A schematic diagram of the split structure of the portable pressure transmitter fault diagnosis device provided in the embodiments of this application; Figure 5 This is a schematic diagram of the split structure of the inner box provided in an embodiment of this application. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description, in conjunction with the accompanying drawings and embodiments, provides a portable pressure transmitter fault diagnosis device and its fault diagnosis method. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.
[0020] Please see Figure 1 The diagram illustrates a flowchart of a troubleshooting method for a portable pressure transmitter according to an embodiment of this application. The method includes the following steps: Step 1: During the oil production and transportation process in the oil field, acquire all monitoring parameters of each pressure transmitter at each moment in each monitoring cycle, as well as the historical reference set.
[0021] A pressure transmitter is a pressure measuring instrument that transmits field pressure data remotely via sensors, using pneumatic or electric signals for control and remote transmission. It converts the pressure of gas or liquid sensed by the pressure sensing element into a standard electrical signal, which is then transmitted to secondary instruments to obtain accurate pressure values. This allows for precise monitoring of pressure changes throughout the oilfield production process, ensuring the safe, stable, and efficient operation of the oilfield.
[0022] However, during long-term operation, pressure transmitters are susceptible to environmental corrosion, mechanical vibration, component aging, and complex operating conditions, which can lead to malfunctions such as measurement drift, signal distortion, zero-point anomalies, communication interruptions, or even complete failure. These malfunctions directly result in inaccurate or lost monitoring data, potentially causing process imbalances, malfunctions or failures to operate equipment protection systems, production fluctuations, and even safety hazards. Therefore, it is necessary to detect and diagnose the malfunctions of pressure transmitters.
[0023] Based on the above analysis, for the entire production process of petroleum products in the oilfield industrial scenario, intelligent sensors are used to collect and record different monitoring parameters of each pressure transmitter in real time. The monitoring parameters include measured pressure, temperature data, power supply voltage, power supply current, output voltage, and output current. In this embodiment, the acquisition frequency of pressure and temperature data is 1Hz, and the acquisition frequency of power supply voltage, power supply current, output voltage and output current is 1kHz. As other implementation methods, the implementer can set them according to the actual situation. Among them, power supply voltage and power supply current refer to the voltage and current supplied to the pressure transmitter by the external power supply; output voltage and output current refer to the voltage and current output by the pressure transmitter after measuring the pressure and converting and transmitting it to the secondary instrument.
[0024] It should be noted that, in order to ensure the validity of the signal, the sampling frequency setting should satisfy the Nyquist sampling theorem.
[0025] Multiple moments are treated as a monitoring cycle, and all monitoring parameters of each pressure transmitter are acquired in real time at each moment within each monitoring cycle. In this embodiment, the monitoring period is 1 minute. As for other implementation methods, the implementer can set it according to the actual situation.
[0026] It also collects all monitoring parameters of the pressure transmitter under normal operating conditions during historical periods to form a historical reference set; It should be noted that only the monitoring parameters of a single pressure transmitter during normal operation need to be collected. In this embodiment, the monitoring parameters of the pressure transmitter during all monitoring cycles within a day under normal operating conditions are collected.
[0027] The collected monitoring parameters are interpolated and filled using the sinc interpolation method to reconstruct data that is continuous in time. Then, all collected monitoring parameters are normalized. In this embodiment, the maximum and minimum value normalization method is used for normalization.
[0028] It should be noted that sinc interpolation and maximum-minimum normalization are well-known techniques and will not be elaborated upon here.
[0029] At this point, all monitoring parameters of each pressure transmitter at each moment within each monitoring cycle, as well as the historical reference set, are obtained.
[0030] Step 2: For each pressure transmitter in each monitoring cycle, analyze the data fluctuation of each monitoring parameter, calculate the fluctuation change of each monitoring parameter, assess the degree of deviation from the overall fluctuation level, and determine the fluctuation deviation of each monitoring parameter.
[0031] In the production and transportation of petroleum products in oilfield industrial settings, pressure transmitters serve as on-site monitoring devices for production status and safety. The pressure data they monitor directly reflects the operating status of the equipment. Due to the complex and variable operating conditions in oilfield industrial settings, the data measured by pressure transmitters is affected by various factors such as flow rate, temperature, and valve opening. These factors cause the pressure and electrical signals collected by the pressure transmitters to exhibit obvious random fluctuations and dynamic changes. These changes are normal operating condition responses, but because such fluctuations are quite similar to the numerical fluctuations when a pressure transmitter malfunctions, it is difficult to distinguish a true fault based solely on data fluctuations.
[0032] Secondly, when production conditions change, although different pressure transmitters are located in different positions, i.e., in different production stages, the pressure data they measure will be affected by the same fluid dynamics. For example, when the flow rate changes, this change will gradually propagate along the direction of fluid flow at a certain speed. Pressure transmitters closer to the source of the flow rate change will feel the pressure change first, while pressure transmitters farther away from the source of the flow rate change will feel the change later. Therefore, different pressure transmitters will produce similar trends, but there will be a certain time delay, i.e., they have time delay synchronization.
[0033] Based on this analysis, the deviation of the data fluctuations of each monitored parameter under each pressure transmitter is analyzed, and the fluctuation deviation is calculated, specifically as follows: For each monitoring parameter of each pressure transmitter, calculate the average value of the data at all times within each monitoring cycle; The difference between the data of each monitoring parameter at each time point within each monitoring period and the average value is taken as the relative difference; In this embodiment, the absolute value of the difference between the data of each monitoring parameter at each time point within each monitoring period and the average value is taken as the relative difference.
[0034] The relative differences of each monitoring parameter in each monitoring period are positively integrated to represent the fluctuation change of each monitoring parameter of each pressure transmitter in each monitoring period. In this embodiment, the specific process of forward fusion is as follows: the sum of the relative differences of each monitoring parameter at all times in each monitoring period is taken as the fluctuation change amount. In other implementation methods, the implementer can calculate the mean of the relative differences of each monitoring parameter at all times in each monitoring period as the fluctuation change amount.
[0035] For each monitoring parameter, the average value of the fluctuation changes of all pressure transmitters in each monitoring cycle is taken as the overall fluctuation value. The difference between the fluctuation change and the overall fluctuation is used as the fluctuation deviation of each monitoring parameter of each pressure transmitter in each monitoring cycle.
[0036] In this embodiment, the absolute value of the difference between the fluctuation change and the overall fluctuation is used as the fluctuation deviation of each monitoring parameter of each pressure transmitter in each monitoring cycle.
[0037] It should be noted that the greater the relative difference, the larger the instantaneous deviation of the pressure transmitter's monitoring parameters from its average level. The greater the fluctuation, the larger the overall fluctuation of the pressure transmitter. The overall fluctuation reflects the average fluctuation of all pressure transmitters. The larger the value, the more frequent the changes in operating conditions throughout the production and conveying process, or the simultaneous abnormalities of multiple pressure transmitters. The greater the fluctuation deviation, the more the fluctuation of the pressure transmitter deviates significantly from the overall average level, reflecting a possible serious malfunction of the pressure transmitter.
[0038] Thus, the fluctuation deviation of each monitoring parameter of each pressure transmitter in each monitoring cycle is obtained.
[0039] Step 3: Obtain all associated parameters for each monitoring parameter by analyzing the correlation of changes in different monitoring parameters within the historical reference set; for each pressure transmitter in each monitoring cycle, determine the degree of trend discrepancy of each monitoring parameter based on the inconsistency of the changing trends between each monitoring parameter and its different associated parameters.
[0040] Furthermore, in pressure transmitters, certain monitored parameters exhibit coupled changes. For example, when pressure increases, the electrical signals inside the pressure transmitter, such as output voltage and output current, increase synchronously, thus converting the pressure data into an electrical signal for transmission. Under normal operating conditions, the monitored parameters with coupled changes in the pressure transmitter exhibit significant correlation and synchronicity. Even if individual data points show complex data distribution patterns under different operating conditions, the dynamic change patterns of these data over time are similar. However, when a pressure transmitter malfunctions, the correlation and synchronicity of the monitored parameters are disrupted. For instance, when a pressure transmitter experiences span drift faults, it means that the transmitter's measurement range has shifted. The pressure may be increasing, but the change in output current may not conform to the normal proportional relationship, or the change in output current may lag behind the change in pressure. In this case, the synchronicity between pressure changes and electrical signal changes is disrupted.
[0041] Furthermore, the flowchart of the method for obtaining the trend discrepancy of each monitoring parameter provided in the embodiments of this application is as follows: Figure 2 As shown.
[0042] Based on the above analysis, the correlation between different monitoring parameters within the historical reference set was analyzed, and monitoring parameters with correlation were selected, specifically: Calculate the correlation between each monitoring parameter in the historical reference set and the other monitoring parameters; In this embodiment, the degree of correlation is measured by calculating the absolute value of the Pearson correlation coefficient between each monitoring parameter and the other monitoring parameters. The Pearson correlation coefficient is a well-known technique and will not be described in detail here. As other implementation methods, implementers may use other methods of the prior art, such as the Spearman correlation coefficient, etc. This embodiment does not impose any special restrictions on this.
[0043] For each monitoring parameter in the historical reference set, select all other monitoring parameters whose correlation with them is greater than a preset threshold, and mark them as all associated parameters of each monitoring parameter; In this embodiment, since the Pearson correlation coefficient ranges from [value missing] to [value missing], [the value missing]. If the absolute value of the Pearson correlation coefficient is greater than 0.3, there is a certain correlation between the two variables. Therefore, the preset threshold is 0.3. As another implementation method, the implementer can set it according to the actual situation.
[0044] Secondly, by analyzing the inconsistencies in the changing trends between various monitoring parameters and related parameters, the degree of trend discrepancy is calculated, specifically as follows: For each pressure transmitter in each monitoring cycle, calculate the difference between the data of each monitoring parameter at each time and the data at adjacent times, and record it as the difference. In this embodiment, the absolute value of the difference between the data of each monitoring parameter at each time point and the data at the previous time point is calculated and denoted as the difference quantity.
[0045] Calculate the differences between all the differences between each monitoring parameter and each associated parameter in each monitoring period, and use this as the trend difference. In this embodiment, the DTW distance between all differences of each monitoring parameter and all differences of the corresponding associated parameters under each monitoring period is calculated as the trend difference. The DTW distance is a well-known technique and will not be described in detail here. As other implementation methods, implementers can use other methods of the prior art, such as the reciprocal of the Pearson correlation coefficient, Euclidean distance, etc. This embodiment does not impose any special restrictions on this.
[0046] For each pressure transmitter in each monitoring cycle, the trend differences between each monitoring parameter and all its associated parameters are positively integrated to form the trend discrepancy of each monitoring parameter. In this embodiment, the specific process of forward fusion is as follows: the average value of the trend difference between each monitoring parameter and all its associated parameters in each monitoring period is taken as the trend discrepancy degree. In other implementation methods, the implementer can take the sum of the trend differences between each monitoring parameter and all its associated parameters in each monitoring period as the trend discrepancy degree of each monitoring parameter of each pressure transmitter in each monitoring period.
[0047] It should be noted that the larger the difference, the greater the difference in the changes of the monitoring parameter between adjacent moments. The greater the trend difference, the more asynchronous the changes of the two monitoring parameters are. The greater the trend discrepancy, the more inconsistent the overall change trend of the monitoring parameter with all its associated parameters. This reflects that the pressure transmitter failure is more likely to disrupt the synchronous change relationship between the data, indicating that the pressure transmitter failure is more likely to cause data anomalies.
[0048] Thus, the trend discrepancy of each monitoring parameter for each pressure transmitter in each monitoring cycle is obtained.
[0049] Step 4: Based on the fluctuation deviation and trend inconsistency, determine the abnormal assessment value of each pressure transmitter in each monitoring cycle, identify the faulty pressure transmitters, and add them to the inspection list; test the pressure transmitters on the inspection list by applying external pressure excitation, and use the output response of the tested pressure transmitter to determine the fault type.
[0050] Furthermore, based on the degree of volatility deviation and the degree of trend discrepancy, anomaly assessment values are determined, specifically as follows: The abnormal assessment value of each pressure transmitter in each monitoring cycle is positively correlated with the fluctuation deviation and trend inconsistency of all monitoring parameters; In this embodiment, the mean of the product of the fluctuation deviation and trend discrepancy of all monitored parameters is used as the anomaly assessment value; in other implementations, the implementer may calculate the sum of the products of the fluctuation deviation and trend discrepancy of all monitored parameters as the anomaly assessment value.
[0051] It should be noted that the larger the abnormal assessment value, the more abnormal the change pattern of the monitoring parameter, and the more likely it is to be caused by a pressure transmitter malfunction.
[0052] Furthermore, based on the abnormal evaluation values, the faults of the pressure transmitter are assessed, specifically as follows: Anomaly detection is performed on the abnormal evaluation values of all pressure transmitters in each monitoring cycle to screen out the pressure transmitters with anomalies. If a pressure transmitter shows anomalies in multiple consecutive monitoring cycles, then the pressure transmitter is faulty; otherwise, it is not faulty. In this embodiment, the Raida criterion is used for anomaly detection. The Raida criterion is a well-known technology and will not be described in detail here. As other implementation methods, implementers can use other methods of existing technology, such as the LOF anomaly detection algorithm. This embodiment does not impose any special restrictions on this. If the pressure transmitter shows anomalies in 5 consecutive monitoring cycles, then the pressure transmitter is faulty. As other implementation methods, implementers can set it according to the actual situation.
[0053] Add the faulty pressure transmitters to the inspection list; For the pressure transmitters on the inspection list, an external pressure excitation is applied using a portable pressure transmitter fault diagnosis device to diagnose the fault. Specifically: If the change in the output electrical signal of the pressure transmitter under test is inconsistent with the change in the excitation pressure when a changing pressure excitation is applied, it is determined that the pressure sensing element of the pressure transmitter under test is faulty. If the output electrical signal of the pressure transmitter under test fluctuates continuously when a constant pressure excitation is applied, the measurement conversion circuit of the pressure transmitter under test is determined to be faulty. If the calculated pressure value corresponding to the output electrical signal of the pressure transmitter under test is inconsistent with the known constant standard air pressure when a known constant standard pressure excitation is applied, it is determined that the pressure transmitter under test has zero drift or abnormal temperature drift compensation circuit. If, under constant pressure excitation, adjusting the voltage of the power supply to the pressure transmitter under test causes fluctuations in the output electrical signal of the pressure transmitter under test, then the internal power supply voltage regulator module of the pressure transmitter under test is determined to be faulty. If the pressure transmitter under test does not output any electrical signal after being correctly connected when a constant pressure excitation is applied, then the power supply of the pressure transmitter under test is determined to be faulty.
[0054] Based on the same inventive concept as the above method, this application also provides a portable pressure transmitter fault diagnosis device, comprising: In this embodiment, the portable pressure transmitter fault diagnosis device can be directly connected to the pressure transmitter. This device uses an elimination method to locate the fault point, avoiding misdiagnosis and ensuring safety and reliability throughout the process. The device has three power supply modes: first, it can be used indoors with AC220V power; second, it can be used outdoors with a vehicle-mounted DC12V power supply; and third, the device has an internal energy storage device for self-powered operation.
[0055] The device consists of a base that supports the power supply and gas supply equipment. The power supply equipment provides power to the gas press and also supplies power to the electrical components. The gas pressure of the gas press is used to boost the pressure transmitter. The value is converted into a signal by a secondary instrument and read on the display. The pressure transmitter being tested is compared with a standard instrument for verification.
[0056] The device comprises a housing, battery, air pump, air tank, pressure transmitter interface, standard instrument, connection port, data cable, secondary instrument, display, 24V DC adjustable power supply, and charger. A schematic diagram of the overall structure of the portable pressure transmitter fault diagnosis device provided in this embodiment is shown below. Figure 3 As shown, where, Figure 3 1 represents the outer casing, and 2 represents the casing lid; A schematic diagram of the split structure of the portable pressure transmitter fault diagnosis device provided in this embodiment is shown below. Figure 4 As shown, where, Figure 4 3 represents the standard gauge, 4 represents the test gauge interface, 5 represents the vent valve, 6 represents the air tank, 7 represents the air pump, 8 represents the inner casing, 9 represents the 24V DC adjustable power supply, 10 represents the connecting pipe, 11 represents the numerical display, and 12 represents the test line input interface. The schematic diagram of the split structure of the inner box provided in this embodiment is as follows: Figure 5 As shown, where, Figure 5 8 represents the inner casing, 13 represents the secondary meter, 14 represents the charger, 15 represents the AC220V power socket, and 16 represents the DC12V battery.
[0057] When a pressure transmitter malfunctions, connect the pressure transmitter through the test line input interface and start the internal air pump. The air pump connection pipe is installed on the air tank, providing a stable pressure source to the tank. The air pressure is input through the connection pipe to the interface of the standard pressure gauge and the pressure transmitter under test. The input air pressure is increased or decreased by adjusting the air pump or vent valve. The real-time reading of the standard pressure gauge is observed, and the output current and output voltage of the pressure transmitter under test are recorded simultaneously. The secondary instrument and numerical display convert and display the electrical signals in real time, realizing the correspondence between the real-time pressure reading of the standard pressure gauge and the output electrical signal of the pressure transmitter. Thus, by applying external pressure excitation to the faulty pressure transmitter through this device, and comparing the standard pressure gauge reading with the output electrical signal of the pressure transmitter under test, the faulty component can be identified. Specifically: If the standard pressure gauge reading changes when the input air pressure is continuously adjusted and a different pressure excitation is applied, while the output electrical signal of the pressure transmitter under test remains stable or does not change accordingly, then it is determined that the pressure sensing element of the pressure transmitter under test is faulty. If the output electrical signal of the pressure transmitter under test exhibits irregular and continuous jittering or fluctuation when a constant air pressure is input, the measurement conversion circuit of the pressure transmitter under test is determined to be faulty. If the calculated pressure value corresponding to the output electrical signal of the pressure transmitter being measured is inconsistent with the known constant standard air pressure when a known constant standard air pressure is input, it is determined that the pressure transmitter being measured has zero drift or an abnormal temperature drift compensation circuit. If the input air pressure is kept constant and the power supply voltage of the device is adjusted, the output electrical signal of the pressure transmitter under test will fluctuate accordingly. In this case, the internal power supply voltage regulator module of the pressure transmitter under test is determined to be faulty. If the pressure transmitter under test has no electrical signal output after being correctly connected, and the connection line fault has been ruled out, then the power supply of the pressure transmitter under test is determined to be faulty.
[0058] The portable pressure transmitter fault diagnosis device uses the coordinated operation of multiple components to perform multi-faceted detection of the pressure transmitter's output electrical signal. It can quickly identify the fault point of the pressure transmitter without disassembly, avoiding unnecessary economic waste caused by disassembling and sending the whole machine for inspection, and achieving more precise detection of pressure transmitter faults.
[0059] It should be understood that, although Figure 1 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 1 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
[0060] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0061] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application. Therefore, any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of this application, without departing from the content of the technical solution of this application, shall fall within the protection scope of the technical solution of this application.
Claims
1. A portable pressure transmitter troubleshooting method, characterized by, The method comprises the following steps: During the oil production and transportation process of the oil field, all monitoring parameters of each pressure transmitter at each time in each monitoring period are acquired; For each pressure transmitter in each monitoring period, the data volatility of each monitoring parameter is analyzed, the fluctuation change amount of each monitoring parameter is calculated, the degree of deviation of each monitoring parameter from the overall fluctuation level is evaluated, and the fluctuation deviation degree of each monitoring parameter is determined; All correlation parameters of each monitoring parameter are acquired through the change correlation of different monitoring parameters of the pressure transmitter in the normal operation state in the historical period; For each pressure transmitter in each monitoring period, the trend discordance degree of each monitoring parameter is determined according to the inconsistency of the change trend between each monitoring parameter and its different correlation parameters, the abnormal evaluation value of each pressure transmitter in each monitoring period is determined in combination with the fluctuation deviation degree, the faulty pressure transmitter is identified, and is listed in the to-be-inspected list; The pressure transmitter on the to-be-inspected list is tested by applying external pressure excitation, and the output response of the tested pressure transmitter is used to judge the fault type.
2. A portable pressure transmitter troubleshooting method as claimed in claim 1, wherein, The calculation of the fluctuation change amount of each monitoring parameter comprises: For each monitoring parameter of each pressure transmitter, the average value of the data at all times in each monitoring period is calculated; The difference between the data of each monitoring parameter at each time in each monitoring period and the average value is taken as the relative difference; The fluctuation change amount is the result of the positive fusion of all relative differences of each monitoring parameter in each monitoring period.
3. A portable pressure transmitter troubleshooting method as described in claim 1 wherein, The determination of the fluctuation deviation degree of each monitoring parameter comprises: For each monitoring parameter, the average value of the fluctuation change amount of all pressure transmitters in each monitoring period is taken as the overall fluctuation amount. The fluctuation deviation degree is positively correlated with the fluctuation change amount, and is negatively correlated with the overall fluctuation amount.
4. A portable pressure transmitter troubleshooting method as described in claim 3 wherein, The calculation process of the fluctuation deviation degree is that the difference between the fluctuation change amount and the overall fluctuation amount is taken as the fluctuation deviation degree.
5. A portable pressure transmitter troubleshooting method as described in claim 1 wherein, The acquisition of all correlation parameters of each monitoring parameter comprises: The monitoring parameters of the pressure transmitter in the normal operation state in the historical period are collected to form a historical reference set, and the correlation degree between each monitoring parameter and the remaining monitoring parameters in the historical reference set is calculated; For each monitoring parameter in the historical reference set, all the remaining monitoring parameters with a correlation degree greater than a preset threshold are selected and marked as all correlation parameters of the monitoring parameter.
6. A portable pressure transmitter troubleshooting method as described in claim 1 wherein, The determination of the trend discordance degree of each monitoring parameter comprises: The difference between the data of each monitoring parameter at adjacent two times is calculated and is recorded as a difference amount; The difference between all difference amounts between each monitoring parameter and each correlation parameter in each monitoring period is calculated as a trend difference; The trend discordance degree is the result of the positive fusion of the trend difference between each monitoring parameter and all its correlation parameters.
7. A portable pressure transmitter troubleshooting method as described in claim 1 wherein, The abnormal evaluation value is positively correlated with the fluctuation deviation degree and the trend discordance degree of all monitoring parameters.
8. A portable pressure transmitter troubleshooting method as described in claim 1 wherein, The identification of the faulty pressure transmitter comprises: performing anomaly detection on the abnormal evaluation values of all pressure transmitters in each monitoring period, screening out the pressure transmitters with anomalies, if a pressure transmitter shows anomalies in continuous multiple monitoring periods, the pressure transmitter has a fault, otherwise, the pressure transmitter has no fault.
9. A portable pressure transmitter troubleshooting method as described in claim 1 wherein, The judgment process of the fault type comprises: If the output electric signal of the measured pressure transmitter is inconsistent with the change of the excitation pressure when the variable pressure excitation is applied, it is determined that the pressure sensing element of the measured pressure transmitter is faulty; If the output electric signal of the measured pressure transmitter is continuously jittered when the constant pressure excitation is applied, it is determined that the measurement conversion circuit of the measured pressure transmitter is faulty; If the output electric signal of the measured pressure transmitter is inconsistent with the known constant standard air pressure when the known constant standard pressure excitation is applied, it is determined that the measured pressure transmitter has zero drift or abnormal temperature drift compensation circuit; If the output electric signal of the measured pressure transmitter is fluctuated when the voltage of the power supply of the measured pressure transmitter is adjusted under the constant pressure excitation, it is determined that the internal power supply stabilizing module of the measured pressure transmitter is faulty; If the measured pressure transmitter has no any electric signal output after being correctly connected under the constant pressure excitation, it is determined that the power supply of the measured pressure transmitter is faulty.
10. A portable pressure transmitter fault determination device implementing the method as recited in claim 1, characterized in that, The device at least includes a standard pressure gauge, an air pump, a test line input interface and an adjustable power supply, wherein the pressure transmitter on the list to be tested is connected through the test line input interface, the standard pressure source is provided by the air pump, the input pressure is monitored by the standard pressure gauge, the measured pressure transmitter is powered by the adjustable power supply, and the device is used to apply pressure to the pressure transmitter on the list to be tested for test and judgment.