A method for collecting continuous electrical parameter data of a single-stroke cycle of an oil pump

Abstract

The present invention relates to the field of data processing technology, and in particular to a method for collecting continuous electrical parameter data of a single stroke cycle of an oil pump. The present invention continuously obtains the maximum balanced power of the oil pump and the load value of the motor in the drive system, calculates the system disturbance characterization parameters for the cycle segment, and in actual situations, there are occasional disturbances in the electromechanical system, the working environment of the oil pump is harsh, and in some cases, the electrical parameter data has certain vibration characteristics. The electrical parameter data of the output end of the frequency converter of the drive system is continuously obtained, the time node when the oil pump completes a single stroke is obtained, the electrical parameter data corresponding to each stroke cycle is determined, and the system disturbance category of the cycle segment is determined based on the system disturbance characterization parameters to process the electrical parameter data collected in the cycle segment. The present invention takes into account the noise data brought by the oil pump system to the electrical parameter data collection, and adaptively processes the collected electrical parameter data to improve the reliability and effectiveness of the collected electrical parameter data.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, and in particular to a method for collecting continuous electrical parameter data of a single-stroke cycle of an oil pump. Background Art

[0002] At present, speed sensors, pressure sensors and displacement sensors are mostly used to collect the speed, pressure and motion displacement signals of the oil pump. The current and voltage signals are collected at the motor end of the oil pump to obtain the law of motor load changes. The existing technology can split the large number of data blocks uploaded instantaneously in parallel into a data transmission process with serial as the main and parallel as the auxiliary through data freezing and transmission time offset settings, thereby reducing the instantaneous data transmission bandwidth and increasing the stability of the data transmission process. However, due to noise interference during the operation of the equipment, the noise interference is not processed, resulting in inaccurate collected electrical parameter data.

[0003] Chinese Patent Publication No.: CN114827774A, discloses an electrical data acquisition method, device and system, the method comprising: freezing and caching the electrical parameters sampled by the remote monitoring terminal; determining the transmission time offset of the electrical parameters according to the type of the remote monitoring terminal and the type of the electrical parameters; uploading the sampled electrical parameters to the cloud platform according to the transmission time offset of the electrical parameters. The present invention provides an electrical data acquisition method, device and system, which freezes and caches the sampled electrical parameters, and uploads the sampled electrical parameters to the cloud platform based on the determined transmission time offset. Therefore, the method can disassemble a large number of data blocks uploaded instantaneously in parallel into a data transmission process with serial as the main and parallel as the auxiliary through the setting of data freezing and transmission time offset, thereby reducing the instantaneous data transmission bandwidth and increasing the stability of the data transmission process.

[0004] However, there are still the following problems in the prior art:

[0005] The occasional disturbances in the electromechanical system of the oil pump are not taken into account. In addition, due to the harsh working environment of the oil pump, it has certain vibration characteristics in some cases. The superposition of multiple factors will introduce noise data into the collected electrical parameter data, resulting in inaccurate collected electrical parameter data. Summary of the invention

[0006] In order to solve the problem that the existing technology does not consider the occasional disturbance of the electromechanical system of the oil pump, and because the oil pump has a bad working environment and has certain vibration characteristics in some cases, the superposition of multiple factors will introduce noise data into the collected electrical parameter data, resulting in inaccurate collected electrical parameter data, the present invention provides a method for collecting continuous electrical parameter data of a single stroke cycle of an oil pump, comprising:

[0007] Step S1, continuously obtaining the maximum balanced power of the pumping unit and the load value of the motor in the driving system, and calculating the system disturbance characterization parameter for the periodic segment according to the maximum balanced power in the periodic segment combined with the discrete difference of the load value;

[0008] Step S2, continuously acquiring the electrical parameter data of the output end of the frequency converter of the drive system, acquiring the time node when the pumping unit completes a single stroke, and determining the electrical parameter data corresponding to each stroke cycle;

[0009] Step S3, determining the system disturbance category of the periodic segment based on the system disturbance characterization parameter, so as to process the electrical parameter data collected in the periodic segment,

[0010] The system disturbance category of the periodic segment is determined based on the system disturbance characterization parameter, including:

[0011] If the system disturbance characterization parameter is greater than or equal to a preset system disturbance characterization parameter standard threshold, then the periodic segment is determined to be a system strong disturbance category;

[0012] If the system disturbance characterization parameter is less than the preset system disturbance characterization parameter standard threshold, determining that the period segment is a system weak disturbance category;

[0013] Process the electrical parameter data collected during the period, including:

[0014] If the cycle segment is a system strong disturbance category, the validity of the stroke cycle is determined based on the difference in the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle, and the electrical parameter data within the effective stroke cycle is screened, including dividing the effective stroke cycle into several sub-cycles, determining the mutation sub-cycle based on the average amplitude of the time domain curve corresponding to the electrical parameter data within the sub-cycle, and retaining the electrical parameter data of the non-mutation sub-cycle within the effective stroke cycle;

[0015] If the periodic segment is a weak disturbance category of the system, then based on the similarity of the electrical parameter data in all stroke cycles in the periodic segment, determine whether the periodic segment meets the similarity standard, and only retain the electrical parameter data of any single stroke cycle in the periodic segment that meets the similarity standard;

[0016] Step S4, sending the electrical parameter data retained in step S3 to the analysis end.

[0017] Furthermore, the system disturbance characterization parameter for the periodic segment is calculated based on formula (1), where:

[0018] ;

[0019] In formula (1), E is the parameter representing the disturbance of the system, W is the maximum balanced power of the pumping unit, and Pi represents the load value at the i-th moment in the cycle segment. It represents the average of the load values ​​from time 0 to time T in the cycle segment, and W0 is the preset standard maximum balanced power.

[0020] Furthermore, the process of determining the difference between the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle includes:

[0021] Determine the system disturbance characterization parameters for a single stroke cycle,

[0022] determining system disturbance characterizing parameters of adjacent stroke cycles of a single stroke cycle,

[0023] The differences between the system disturbance characterizing parameters of a single stroke cycle and the system disturbance characterizing parameters of adjacent stroke cycles are calculated respectively to calculate the average value of each of the differences.

[0024] Furthermore, the determination of the validity of the stroke cycle based on the difference between the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle includes:

[0025] If the average value is within a preset average value standard threshold range, the stroke cycle is determined to be valid;

[0026] If the average value is outside the preset average value standard threshold range, the stroke cycle is determined to be invalid.

[0027] Furthermore, the step of determining the mutation sub-period based on the average amplitude of the time domain curve corresponding to the electrical parameter data in the sub-period includes:

[0028] Calculate the absolute average amplitude difference between the average amplitude of the time domain curve corresponding to the electrical parameter data in the effective stroke period and the average amplitude of the electrical parameter data in the sub-period,

[0029] If the absolute average amplitude difference is greater than or equal to a preset amplitude difference threshold, the sub-period is determined to be a mutation sub-period;

[0030] If the absolute average amplitude difference is less than a preset amplitude difference threshold, the sub-period is determined to be a non-mutation sub-period.

[0031] Further, calculating the similarity of the electrical parameter data in all stroke cycles in the period segment includes:

[0032] Calculate the time domain curve corresponding to the electrical parameter data in each stroke cycle;

[0033] The degree of fit between the time domain curves corresponding to the electrical parameter data in each stroke cycle is calculated, and the degree of fit is determined as the similarity.

[0034] Furthermore, the determining whether the cycle segment meets the similarity standard based on the similarity of the electrical parameter data in all stroke cycles in the cycle segment includes:

[0035] If the similarity is greater than or equal to a preset similarity standard threshold, it is determined to meet the similarity standard;

[0036] If the similarity is less than the preset similarity standard threshold, it is determined that the similarity standard is not met.

[0037] Furthermore, the stroke cycles contained in a single cycle segment must be greater than or equal to a preset stroke cycle quantity threshold.

[0038] Compared with the prior art, the present invention continuously obtains the maximum balanced power of the oil pump and the load value of the motor in the drive system, calculates the system disturbance characterization parameters for the cycle segment, continuously obtains the electrical parameter data of the output end of the drive system inverter, obtains the time node when the oil pump completes a single stroke, determines the electrical parameter data corresponding to each stroke cycle, and determines the system disturbance category of the cycle segment based on the system disturbance characterization parameters to process the electrical parameter data collected in the cycle segment. The present invention takes into account the noise data brought by the oil pump system to the electrical parameter data collection, adaptively processes the collected electrical parameter data, and improves the reliability and effectiveness of the collected electrical parameter data.

[0039] In particular, the present invention considers calculating the system disturbance characterization parameters based on the balanced power of the oil pump and the load value of the motor in the drive system. In actual situations, there are occasional disturbances in the electromechanical system, and due to the harsh working environment of the oil pump, there are certain vibration characteristics in some cases, which affect the dynamic performance of the oil pump, including the output power and torque of the motor. During the operation of the oil pump, the vibration characteristics will cause the motor load torque to fluctuate, thereby affecting the instantaneous speed of the motor. This fluctuation may cause an increase in the output power of the motor, thereby affecting the balanced power of the oil pump. Under the superposition of the above factors, more noise data will be introduced into the collected electrical parameter data. Therefore, the present invention calculates the system disturbance characterization parameters to characterize the strength of the system disturbance, provide data support for the subsequent classification of system disturbance categories, and then adaptively process the electrical parameter data according to the system disturbance category, thereby improving the reliability and effectiveness of the collected electrical parameter data.

[0040] In particular, for the category of strong system disturbance, due to the introduction of more noise data, the present invention utilizes the periodicity of the operation of the oil pump and considers the difference in the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle to determine the effectiveness of the stroke cycle. In actual situations, due to the working principle of the oil pump, it belongs to periodic action, and the actions of different stroke cycles are the same. Therefore, there is a certain similarity in the corresponding electrical parameter data in different stroke cycles, and the influence of the system disturbance on the electrical parameter data is not a continuous regular influence. Therefore, considering the above phenomenon, the effectiveness of the stroke cycle is determined according to the difference in the system disturbance characterization parameters of the adjacent stroke cycles, and the electrical parameter data obtained in the effective stroke cycle is further screened to eliminate the interference data, thereby improving the reliability and effectiveness of the collected electrical parameter data.

[0041] In particular, for the weak disturbance category of the system, the present invention also considers utilizing the periodicity of the operation of the oil pump to verify whether the cycle segment meets the similarity standard based on the similarity of the electrical parameter data in all stroke cycles of the cycle segment. In this case, since the disturbance of the oil pump system is relatively small, the noise data introduced by the electrical parameter data in each stroke cycle is relatively small and relatively similar. Therefore, it is considered to use the electrical parameter data of a single stroke cycle to represent the electrical parameter data of the entire cycle segment. Under the premise of ensuring reliability, the number of electrical parameter data required for analysis is reduced, and the amount of data processing when the back-end analyzes the electrical parameter data is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a flow chart of a method for collecting continuous electrical parameter data of a single-stroke cycle of an oil pumping unit according to an embodiment of the present invention;

[0043] Figure 2 A schematic structural diagram of an oil pumping unit according to an embodiment of the present invention;

[0044] Figure 3 Flow chart for determining the system disturbance category of the period segment;

[0045] Figure 4 A determination flow chart for processing the electrical parameter data collected within a periodic segment;

[0046] In the figure: 1-driving mechanism; 2-crank; 3-walking beam; 4-continuous electrical parameter collector. DETAILED DESCRIPTION

[0047] The method for collecting continuous electrical parameter data of a single-stroke cycle of an oil pumping unit of the present invention comprises:

[0048] Step S1, continuously obtaining the maximum balanced power of the pumping unit and the load value of the motor in the driving system, and calculating the system disturbance characterization parameter for the periodic segment according to the maximum balanced power in the periodic segment combined with the discrete difference of the load value;

[0049] Step S2, continuously obtain the electrical parameter data of the output end of the drive system inverter, obtain the time node when the pump completes a single stroke, and determine the electrical parameter data corresponding to each stroke cycle. The purpose of obtaining the time node of a single stroke is to determine the stroke cycle, which will not be repeated here.

[0050] Step S3, determining the system disturbance category of the periodic segment based on the system disturbance characterization parameter to process the electrical parameter data collected in the periodic segment, including:

[0051] The validity of the stroke cycle is determined based on the difference between the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle, and the electrical parameter data within the effective stroke cycle is screened, including dividing the effective stroke cycle into several sub-cycles, determining the mutation sub-cycle based on the average amplitude of the time domain curve corresponding to the electrical parameter data within the sub-cycle, and retaining the electrical parameter data of the non-mutation sub-cycle within the effective stroke cycle;

[0052] Or, based on the similarity of the electrical parameter data in all stroke cycles in the periodic segment, determine whether the periodic segment meets the similarity standard, and only retain the electrical parameter data of any single stroke cycle in the periodic segment that meets the similarity standard;

[0053] Step S4, sending the electrical parameter data retained in step S3 to the analysis end.

[0054] Specifically, the present invention does not limit the specific method of obtaining the maximum balanced power of the oil pump, and the corresponding function can be achieved by setting an electrical parameter collector, which will not be repeated here.

[0055] Specifically, see Figure 2 As shown, it is a structural diagram of the oil pumping unit according to an embodiment of the present invention. There is no limitation on the specific method of obtaining the motor load. For example, it can be obtained through a continuous electrical parameter collector 4. The continuous electrical parameter collector includes a microprocessor, a raw data register group, a transformed data register group, and a final data register. Those skilled in the art can make a selection based on actual conditions, which will not be described in detail.

[0056] Specifically, see Figure 2 As shown, it is a schematic diagram of the structure of the oil pumping unit of an embodiment of the present invention. The specific structure of the oil pumping unit is not limited. Commonly, the oil pumping unit includes a driving mechanism 1, a crank 2, and a rocker 3. The driving mechanism 1 drives the crank 2 and the rocker 3 to realize reciprocating motion. This is the prior art and will not be described in detail.

[0057] Specifically, the system disturbance characterization parameters for the periodic segment are calculated based on formula (1), where:

[0058] ;

[0059] In formula (1), E is the parameter representing the disturbance of the system, W is the maximum balanced power of the pumping unit, and Pi represents the load value at the i-th moment in the cycle segment. It represents the average of the load values ​​from time 0 to time T in the cycle segment, and W0 is the preset standard maximum balanced power.

[0060] Specifically, determining the system disturbance category of the periodic segment based on the system disturbance characterization parameter includes:

[0061] If the system disturbance characterization parameter is greater than or equal to a preset system disturbance characterization parameter standard threshold, then the periodic segment is determined to be a system strong disturbance category;

[0062] If the system disturbance characterization parameter is less than the preset system disturbance characterization parameter standard threshold, the period segment is determined to be a system weak disturbance category.

[0063] Specifically, the electrical parameter data collected during the period are processed, including:

[0064] If the cycle segment is a system strong disturbance category, the validity of the stroke cycle is determined based on the difference in the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle, and the electrical parameter data within the effective stroke cycle is screened, including dividing the effective stroke cycle into several sub-cycles, determining the mutation sub-cycle based on the average amplitude of the time domain curve corresponding to the electrical parameter data within the sub-cycle, and retaining the electrical parameter data of the non-mutation sub-cycle within the effective stroke cycle;

[0065] If the period segment is a system weak disturbance category, then whether the period segment meets the similarity standard is determined based on the similarity of the electrical parameter data in all stroke cycles within the period segment, and only the electrical parameter data of any single stroke cycle within the period segment that meets the similarity standard is retained.

[0066] Specifically, the process of determining the difference between the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle includes:

[0067] Determine the system disturbance characterization parameters for a single stroke cycle,

[0068] determining system disturbance characterizing parameters of adjacent stroke cycles of a single stroke cycle,

[0069] The differences between the system disturbance characterizing parameters of a single stroke cycle and the system disturbance characterizing parameters of adjacent stroke cycles are calculated respectively to calculate the average value of each of the differences.

[0070] Specifically, the determination of the validity of the stroke cycle based on the difference between the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle includes:

[0071] If the average value is within a preset average value standard threshold range, the stroke cycle is determined to be valid;

[0072] If the average value is outside the preset average value standard threshold range, the stroke cycle is determined to be invalid.

[0073] Specifically, the preset mean value standard threshold range is [0.2, 0.3].

[0074] Specifically, the determination of the mutation sub-period based on the average amplitude of the time domain curve corresponding to the electrical parameter data in the sub-period includes:

[0075] Calculate the absolute average amplitude difference between the average amplitude of the time domain curve corresponding to the electrical parameter data in the effective stroke period and the average amplitude of the electrical parameter data in the sub-period, where the absolute average amplitude difference is the absolute value of the average amplitude difference;

[0076] If the absolute average amplitude difference is greater than or equal to a preset amplitude difference threshold, the sub-period is determined to be a mutation sub-period;

[0077] If the absolute average amplitude difference is less than a preset amplitude difference threshold, the sub-period is determined to be a non-mutation sub-period.

[0078] Specifically, the amplitude difference threshold is selected within the interval [0.35D0, 0.5D0], where D0 is the average amplitude of the electrical parameter data of each valid stroke cycle.

[0079] Specifically, calculating the similarity of the electrical parameter data in all stroke cycles in the period segment includes:

[0080] Calculate the time domain curve corresponding to the electrical parameter data in each stroke cycle;

[0081] The degree of fit between the time domain curves corresponding to the electrical parameter data in each stroke cycle is calculated, and the degree of fit is determined as the similarity.

[0082] It is understandable that the electrical parameter data may be parameters such as current and voltage, which will not be elaborated here, and those skilled in the art may set them according to requirements.

[0083] Specifically, there is no limitation on the method of determining the degree of fit between time domain curves. For example, the degree of fit between time domain curves may be determined by using a mean square error or a correlation coefficient. Of course, other methods may also be used, which will not be described in detail.

[0084] Specifically, judging whether the cycle segment meets the similarity standard based on the similarity of the electrical parameter data in all stroke cycles in the cycle segment includes:

[0085] If the similarity is greater than or equal to a preset similarity standard threshold, it is determined to meet the similarity standard;

[0086] If the similarity is less than the preset similarity standard threshold, it is determined that the similarity standard is not met.

[0087] Specifically, in this embodiment, the preset similarity standard threshold C0 is obtained by pre-measurement, the similarity of the electrical parameter data in all stroke cycles in several cycle segments is recorded, the similarity average △C is calculated, and C0=β×△C is set, β represents the second accuracy coefficient, 0.68<β<0.82.

[0088] Specifically, the stroke cycles contained in a single cycle segment must be greater than or equal to a preset stroke cycle quantity threshold.

[0089] Preferably, the stroke cycle number threshold needs to be greater than or equal to 4.

[0090] For the strong disturbance category of the system, due to the introduction of more noise data, the present invention utilizes the periodicity of the operation of the oil pump and considers the difference in the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle to determine the effectiveness of the stroke cycle. In actual situations, due to the working principle of the oil pump, it belongs to periodic action, and the actions of different stroke cycles are the same. Therefore, there is a certain similarity in the corresponding electrical parameter data in different stroke cycles, and the influence of the system disturbance on the electrical parameter data is not a continuous regular influence. Therefore, considering the above phenomenon, the effectiveness of the stroke cycle is determined according to the difference in the system disturbance characterization parameters of the adjacent stroke cycles, and the electrical parameter data obtained in the effective stroke cycle is further screened to eliminate the interference data, thereby improving the reliability and effectiveness of the collected electrical parameter data.

[0091] For the weak disturbance category of the system, the present invention also considers utilizing the periodicity of the operation of the oil pump, and verifies whether the cycle segment meets the similarity standard based on the similarity of the electrical parameter data in all stroke cycles of the cycle segment. In this case, since the disturbance of the oil pump system is relatively small, the noise data introduced by the electrical parameter data in each stroke cycle is relatively small and relatively similar. Therefore, it is considered to use the electrical parameter data of a single stroke cycle to represent the electrical parameter data of the entire cycle segment. Under the premise of ensuring reliability, the number of electrical parameter data required for analysis is reduced, and the amount of data processing when the back-end analyzes the electrical parameter data is reduced.

[0092] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A method for collecting continuous electrical parameter data of a single-stroke cycle of an oil pump, characterized in that: include: Step S1, continuously obtaining the maximum balanced power of the pumping unit and the load value of the motor in the driving system, and calculating the system disturbance characterization parameter for the periodic segment according to the maximum balanced power in the periodic segment combined with the discrete difference of the load value; Step S2, continuously acquiring the electrical parameter data of the output end of the frequency converter of the drive system, acquiring the time node when the pumping unit completes a single stroke, and determining the electrical parameter data corresponding to each stroke cycle; Step S3, determining the system disturbance category of the periodic segment based on the system disturbance characterization parameter, so as to process the electrical parameter data collected in the periodic segment, The system disturbance category of the periodic segment is determined based on the system disturbance characterization parameter, including: If the system disturbance characterization parameter is greater than or equal to a preset system disturbance characterization parameter standard threshold, then the periodic segment is determined to be a system strong disturbance category; If the system disturbance characterization parameter is less than the preset system disturbance characterization parameter standard threshold, determining that the period segment is a system weak disturbance category; Process the electrical parameter data collected during the period, including: If the cycle segment is a system strong disturbance category, the validity of the stroke cycle is determined based on the difference in the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle, and the electrical parameter data within the effective stroke cycle is screened, including dividing the effective stroke cycle into several sub-cycles, determining the mutation sub-cycle based on the average amplitude of the time domain curve corresponding to the electrical parameter data within the sub-cycle, and retaining the electrical parameter data of the non-mutation sub-cycle within the effective stroke cycle; If the periodic segment is a weak disturbance category of the system, then based on the similarity of the electrical parameter data in all stroke cycles in the periodic segment, determine whether the periodic segment meets the similarity standard, and only retain the electrical parameter data of any single stroke cycle in the periodic segment that meets the similarity standard; Step S4, sending the electrical parameter data retained in step S3 to the analysis end; The system disturbance characterization parameters for the periodic segment are calculated based on formula (1), where: ； In formula (1), E is the system disturbance characterization parameter, W is the maximum balanced power of the pumping unit, Pi represents the load value at the i-th moment in the cycle segment, It represents the average of the load values ​​from time 0 to time T in the cycle segment, and W0 is the preset standard maximum balanced power.

2. The method for collecting continuous electrical parameter data of a single-stroke cycle of an oil pump according to claim 1 is characterized in that: The process of determining the difference between the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle includes: Determine the system disturbance characterization parameters for a single stroke cycle, determining system disturbance characterizing parameters of adjacent stroke cycles of a single stroke cycle, The differences between the system disturbance characterizing parameters of a single stroke cycle and the system disturbance characterizing parameters of adjacent stroke cycles are calculated respectively to calculate the average value of each of the differences.

3. The method for collecting continuous electrical parameter data of a single-stroke cycle of an oil pump according to claim 2 is characterized in that: The determining the validity of the stroke cycle based on the difference between the system disturbance characterization parameters corresponding to each stroke cycle and the adjacent stroke cycle includes: If the average value is within a preset average value standard threshold range, the stroke cycle is determined to be valid; If the average value is outside the preset average value standard threshold range, the stroke cycle is determined to be invalid.

4. The method for collecting continuous electrical parameter data of a single-stroke cycle of an oil pump according to claim 1 is characterized in that: The step of determining the mutation sub-period based on the average amplitude of the time domain curve corresponding to the electrical parameter data in the sub-period includes: Calculate the absolute average amplitude difference between the average amplitude of the time domain curve corresponding to the electrical parameter data in the effective stroke period and the average amplitude of the electrical parameter data in the sub-period, If the absolute average amplitude difference is greater than or equal to a preset amplitude difference threshold, the sub-period is determined to be a mutation sub-period; If the absolute average amplitude difference is less than a preset amplitude difference threshold, the sub-period is determined to be a non-mutation sub-period.

5. The method for collecting continuous electrical parameter data of a single-stroke cycle of an oil pump according to claim 1 is characterized in that: Calculating the similarity of the electrical parameter data in all stroke cycles in the period segment includes: Calculate the time domain curve corresponding to the electrical parameter data in each stroke cycle; The degree of fit between the time domain curves corresponding to the electrical parameter data in each stroke cycle is calculated, and the degree of fit is determined as the similarity.

6. The method for collecting continuous electrical parameter data of a single-stroke cycle of an oil pump according to claim 1 is characterized in that: The determining whether the cycle segment meets the similarity standard based on the similarity of the electrical parameter data in all stroke cycles in the cycle segment includes: If the similarity is greater than or equal to a preset similarity standard threshold, it is determined to meet the similarity standard; If the similarity is less than the preset similarity standard threshold, it is determined that the similarity standard is not met.

7. The method for collecting continuous electrical parameter data of a single-stroke cycle of an oil pump according to claim 1 is characterized in that: The stroke cycles contained in a single cycle segment must be greater than or equal to a preset stroke cycle quantity threshold.

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