Service life detection method and system for direct current brushless gear motor

Abstract

The invention relates to the technical field of service life detection, and discloses a service life detection method and system for a direct-current brushless gear motor, and the method comprises the steps: determining the remaining service life of a to-be-detected motor according to a calibrated service life and accumulated service time; analyzing the parameter information, adjusting the residual service life based on an analysis result, and obtaining an initial residual service life prediction value of the to-be-detected motor; analyzing the historical motor operation record, calculating a historical abnormal operation index of the to-be-detected motor based on an analysis result, and judging whether the initial residual life prediction value is compensated or not according to the historical abnormal operation index; and determining a compensation coefficient of the initial residual life prediction value according to the historical abnormal operation index, and compensating the initial residual life prediction value according to the compensation coefficient to obtain a final residual life prediction value. The invention provides a new technical means for predicting the service life of the direct-current brushless gear motor, and is beneficial to improving the maintenance efficiency and prolonging the service life of the motor.

Description

Technical Field

[0001] The present invention relates to the technical field of life detection, and in particular to a life detection method and system for a brushless DC reduction motor. Background Art

[0002] With the development of modern industry, brushless DC motors are widely used in various mechanical equipment due to their advantages such as high efficiency, low noise and long life. However, the life of the motor is affected by many factors, such as working environment, workload, manufacturing quality, etc. Therefore, it is of great significance to accurately detect the life of brushless DC motors. Traditional life detection methods often have problems such as complex operation and low detection accuracy, which cannot meet the high requirements of modern industry for motor life detection.

[0003] Therefore, it is necessary to design a life detection method and system for a brushless DC reduction motor to solve the problems existing in the current technology. Summary of the invention

[0004] In view of this, the present invention proposes a life detection method and system for a brushless DC reduction motor, aiming to improve the accuracy and efficiency of motor life detection.

[0005] In one aspect, the present invention provides a life detection method for a brushless DC reduction motor, comprising the following steps: S100: determining a motor to be detected, collecting the calibrated life and accumulated usage time of the motor to be detected, and determining the remaining service life of the motor to be detected according to the calibrated life and accumulated usage time; S200: setting an initial speed range of the motor to be detected and driving the motor to be detected to rotate in the initial speed range, collecting parameter information of the motor to be detected during the rotation process, parsing the parameter information, adjusting the remaining service life based on the parsing result, and obtaining an initial remaining service life prediction value of the motor to be detected; S300: extracting corresponding historical motor operation records from a historical motor operation record library based on the motor to be detected and the initial speed range, parsing the historical motor operation records, calculating a historical abnormal operation index of the motor to be detected based on the parsing result, and judging whether to compensate the initial remaining life prediction value according to the historical abnormal operation index; S400: When it is determined to compensate the initial remaining life prediction value, a compensation coefficient of the initial remaining life prediction value is determined according to the historical abnormal operation index, and the initial remaining life prediction value is compensated according to the compensation coefficient to obtain a final remaining life prediction value.

[0006] Furthermore, when collecting parameter information of the motor to be detected during the rotation process, parsing the parameter information, adjusting the remaining service life based on the parsing result, and obtaining the initial remaining service life prediction value of the motor to be detected, it includes: Parsing the parameter information to obtain temperature data, current data and vibration data of the motor to be tested; Extracting features from the temperature data, current data and vibration data respectively to obtain temperature characteristic values, current characteristic values ​​and vibration characteristic values; Respectively determining the temperature standard value, current standard value and vibration standard value corresponding to the temperature characteristic value, current characteristic value and vibration characteristic value; Calculating the life influence coefficient of the motor to be tested according to the temperature characteristic value, the current characteristic value, the vibration characteristic value, the temperature standard value, the current standard value and the vibration standard value; Determining whether to adjust the remaining service life according to the life impact coefficient; When it is determined to adjust the remaining service life, an adjustment coefficient of the remaining service life is determined according to the life influence coefficient, and an initial remaining service life prediction value of the motor to be detected is obtained.

[0007] Further, when calculating the life influence coefficient of the motor to be detected according to the temperature characteristic value, the current characteristic value, the vibration characteristic value, the temperature standard value, the current standard value and the vibration standard value, it includes: The temperature characteristic value is compared with the temperature standard value. When the temperature characteristic value is greater than the temperature standard value, the difference between the temperature characteristic value and the temperature standard value is calculated and recorded as the temperature difference; Counting the number of all temperature characteristic values ​​greater than the temperature standard value and recording it as the temperature quantity; Compare the current characteristic value with the current standard value, and when the current characteristic value is greater than the current standard value, calculate the difference between the current characteristic value and the current standard value and record it as a first current difference; when the current characteristic value is less than the current standard value, calculate the difference between the current standard value and the current characteristic value and record it as a second current difference; Counting the number of all current standard values ​​greater than the current characteristic value, and recording the number as a first current number; Counting the number of all current standard values ​​that are smaller than the current characteristic value, and recording the number as a second current number; The vibration characteristic value is compared with the vibration standard value. When the vibration characteristic value is greater than the vibration standard value, the difference between the vibration characteristic value and the vibration standard value is calculated and recorded as the vibration difference; Counting the number of all vibration standard values ​​greater than the vibration characteristic value, and recording it as the vibration number; Calculating the life influence coefficient according to the temperature difference, the temperature quantity, the first current difference, the second current difference, the first current quantity, the second current quantity, the vibration difference and the vibration quantity; The life influence coefficient is obtained by the following formula:

[0008] Among them, SY represents the life influence coefficient; α represents the weight coefficient; ΔTi represents the i-th temperature difference; NT represents the temperature quantity; ΔI1j represents the j-th first current difference; NI1 represents the first current quantity; ΔI2k represents the k-th second current difference; NI2 represents the second current quantity; ΔVb represents the b-th vibration difference; NV represents the vibration quantity.

[0009] Further, judging whether to adjust the remaining service life according to the life impact coefficient includes: Comparing the life impact coefficient with a life impact coefficient threshold, and determining whether to adjust the remaining service life according to the comparison result; When the life impact coefficient is greater than the life impact coefficient threshold, determining to adjust the remaining service life; When the life influence coefficient is less than or equal to the life influence coefficient threshold, it is determined that the remaining service life is not adjusted.

[0010] Further, when determining the adjustment coefficient of the remaining service life according to the life influence coefficient and obtaining the initial remaining service life prediction value of the motor to be detected, it includes: Comparing the life influence coefficient with the first life influence coefficient and the second life influence coefficient, and determining the adjustment coefficient of the remaining service life according to the comparison result; wherein the first life influence coefficient is less than the second life influence coefficient; Setting an adjustment coefficient interval, wherein the adjustment coefficient interval includes a first adjustment coefficient, a second adjustment coefficient, and a third adjustment coefficient; When the life influence coefficient is less than or equal to the first life influence coefficient, determining the adjustment coefficient of the remaining life to be the first adjustment coefficient, and recording the product of the first adjustment coefficient and the remaining life as the initial remaining life prediction value; When the life influence coefficient is greater than the first life influence coefficient and less than or equal to the second life influence coefficient, determining the adjustment coefficient of the remaining life to be the second adjustment coefficient, and recording the product of the second adjustment coefficient and the remaining life as the initial remaining life prediction value; When the life influence coefficient is greater than the second life influence coefficient, the adjustment coefficient of the remaining life is determined to be the third adjustment coefficient, and the product of the third adjustment coefficient and the remaining life is recorded as the initial remaining life prediction value.

[0011] Furthermore, the historical motor operation records are parsed, and the historical abnormal operation index of the motor to be detected is calculated based on the parsing result, including: Analyze the historical motor operation records to obtain normal operation behavior and abnormal operation behavior; Determine the operation impact factor corresponding to each of the abnormal operation behaviors, and construct an operation impact factor sequence; Counting a first number of the normal operating behaviors and a second number of the abnormal operating behaviors; A historical abnormal operation index of the motor to be detected is calculated according to the operation influencing factor sequence, the first quantity and the second quantity.

[0012] Furthermore, the historical abnormal operation index is obtained by the following formula:

[0013] Among them, Rex represents the historical abnormal operation index; d1 represents the first influence coefficient; d2 represents the second influence coefficient; N1 represents the first number; N2 represents the second number; m represents the number of operation influence factors in the operation influence factor sequence; In represents the nth operation influence factor in the operation influence factor sequence; Imax represents the maximum operation influence factor in the operation influence factor sequence.

[0014] Further, judging whether to compensate the initial remaining life prediction value according to the historical abnormal operation index includes: Comparing the historical abnormal operation index with the historical abnormal operation index threshold, and determining whether to compensate the initial remaining life prediction value according to the comparison result; When the historical abnormal operation index is less than or equal to the historical abnormal operation index threshold, determining not to compensate the initial remaining life prediction value; When the historical abnormal operation index is greater than the historical abnormal operation index threshold, it is determined to compensate the initial remaining life prediction value.

[0015] Further, determining a compensation coefficient of the initial remaining life prediction value according to the historical abnormal operation index, and compensating the initial remaining life prediction value according to the compensation coefficient to obtain a final remaining life prediction value includes: Calculate the ratio of the historical abnormal operation index to the historical abnormal operation index threshold, and record it as the index ratio; Setting a compensation coefficient interval, wherein the compensation coefficient interval includes a first compensation coefficient, a second compensation coefficient, and a third compensation coefficient; When the index ratio is greater than 1 and less than or equal to 1.2, the compensation coefficient is determined to be a first compensation coefficient, and the product of the first compensation coefficient and the initial remaining life prediction value is used as the final remaining life prediction value; When the index ratio is greater than 1.2 and less than or equal to 1.5, the compensation coefficient is determined to be a second compensation coefficient, and the product of the second compensation coefficient and the initial remaining life prediction value is used as the final remaining life prediction value; When the exponential ratio is greater than 1.5, the compensation coefficient is determined to be a third compensation coefficient, and the product of the third compensation coefficient and the initial remaining life prediction value is used as the final remaining life prediction value.

[0016] Compared with the prior art, the beneficial effect of the present invention is that the life detection method for a brushless DC reduction motor provided by the present invention comprehensively analyzes multiple operating parameters of the motor to be detected, including temperature characteristic values, current characteristic values, and vibration characteristic values, and compares them with preset standard values, thereby accurately evaluating the operating status of the motor. This method not only takes into account the influence of a single parameter, but also integrates the interaction between multiple parameters, making the life prediction more accurate. In addition, by analyzing the historical motor operation records, calculating the historical abnormal operation index, and further compensating the initial remaining life prediction value, the reliability and practicality of the prediction value are improved. This method provides a new technical means for the life prediction of brushless DC reduction motors, which helps to improve the maintenance efficiency and service life of the motor.

[0017] In another aspect, the present invention also proposes a life detection system for a brushless DC reduction motor, comprising: A determination module is configured to determine a motor to be detected, collect a calibrated life and a cumulative use time of the motor to be detected, and determine a remaining service life of the motor to be detected according to the calibrated life and the cumulative use time; A prediction module is configured to set an initial speed range of the motor to be detected and drive the motor to be detected to rotate in the initial speed range, collect parameter information of the motor to be detected during the rotation process, and analyze the parameter information, adjust the remaining service life based on the analysis result, and obtain an initial remaining service life prediction value of the motor to be detected; A judgment module is configured to extract corresponding historical motor operation records from a historical motor operation record library based on the motor to be detected and the initial speed range, parse the historical motor operation records, calculate a historical abnormal operation index of the motor to be detected based on the parsing result, and judge whether to compensate the initial remaining life prediction value according to the historical abnormal operation index; The compensation module is configured to determine a compensation coefficient of the initial remaining life prediction value according to the historical abnormal operation index when it is determined to compensate the initial remaining life prediction value, and compensate the initial remaining life prediction value according to the compensation coefficient to obtain a final remaining life prediction value.

[0018] It is understandable that the above-mentioned life detection method and system for brushless DC reduction motor have the same beneficial effects, which will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings: Figure 1 A flow chart of a life detection method for a brushless DC reduction motor provided by an embodiment of the present invention; Figure 2 A functional block diagram of a life detection system for a brushless DC reduction motor provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0021] See also Figure 1 As shown, in some embodiments of the present application, this embodiment provides a life detection method for a brushless DC reduction motor, comprising the following steps: S100: determining a motor to be detected, collecting the calibrated life and accumulated usage time of the motor to be detected, and determining the remaining service life of the motor to be detected according to the calibrated life and accumulated usage time; S200: setting an initial speed range of the motor to be detected and driving the motor to be detected to rotate in the initial speed range, collecting parameter information of the motor to be detected during the rotation process, parsing the parameter information, adjusting the remaining service life based on the parsing result, and obtaining an initial remaining service life prediction value of the motor to be detected; S300: extracting corresponding historical motor operation records from a historical motor operation record library based on the motor to be detected and the initial speed range, parsing the historical motor operation records, calculating a historical abnormal operation index of the motor to be detected based on the parsing result, and judging whether to compensate the initial remaining life prediction value according to the historical abnormal operation index; S400: When it is determined to compensate the initial remaining life prediction value, a compensation coefficient of the initial remaining life prediction value is determined according to the historical abnormal operation index, and the initial remaining life prediction value is compensated according to the compensation coefficient to obtain a final remaining life prediction value.

[0022] In some embodiments of the present invention, the rated life refers to the expected service life set for the brushless DC motor under specific conditions through scientific experiments and statistical analysis. This value is obtained under ideal working conditions, standard operation and normal maintenance, and is intended to provide a reference benchmark for the use and maintenance of the motor.

[0023] In some embodiments of the present invention, the remaining service life is the difference between the rated service life and the accumulated usage time.

[0024] It can be understood that the life detection method for a brushless DC reduction motor provided in this embodiment comprehensively analyzes multiple operating parameters of the motor to be detected, including temperature characteristic values, current characteristic values, and vibration characteristic values, and compares them with preset standard values, thereby accurately evaluating the operating status of the motor. This method not only takes into account the influence of a single parameter, but also integrates the interaction between multiple parameters, making the life prediction more accurate. In addition, by analyzing the historical motor operation records, calculating the historical abnormal operation index, and further compensating the initial remaining life prediction value, the reliability and practicality of the prediction value are improved. This method provides a new technical means for the life prediction of brushless DC reduction motors, which helps to improve the maintenance efficiency and service life of the motor.

[0025] Specifically, the parameter information of the motor to be detected during the rotation process is collected, and the parameter information is analyzed, the remaining service life is adjusted based on the analysis result, and the initial remaining service life prediction value of the motor to be detected is obtained, including: Parsing the parameter information to obtain temperature data, current data and vibration data of the motor to be tested; Extracting features from the temperature data, current data and vibration data respectively to obtain temperature feature values, current feature values ​​and vibration feature values; Respectively determining the temperature standard value, current standard value and vibration standard value corresponding to the temperature characteristic value, current characteristic value and vibration characteristic value; Calculating the life influence coefficient of the motor to be tested according to the temperature characteristic value, the current characteristic value, the vibration characteristic value, the temperature standard value, the current standard value and the vibration standard value; Determining whether to adjust the remaining service life according to the life impact coefficient; When it is determined to adjust the remaining service life, an adjustment coefficient of the remaining service life is determined according to the life influence coefficient, and an initial remaining service life prediction value of the motor to be detected is obtained.

[0026] In some embodiments of the present invention, the temperature characteristic value is preferably a maximum temperature value, a minimum temperature value, and an average temperature value. The current characteristic value is preferably a maximum current value, a minimum current value, and an average current value. The vibration characteristic value is preferably a maximum vibration amplitude, a minimum vibration amplitude, and an average vibration amplitude.

[0027] In some embodiments of the present invention, the temperature standard value, the current standard value and the vibration standard value are obtained based on the statistical analysis of the operating data of a large number of similar motors, and represent the parameters of the motor under normal operating conditions. It is understandable that by extracting the features of temperature data, current data, and vibration data and comparing them with the standard values, the internal operating conditions of the motor can be reflected more carefully, and potential abnormalities or wear conditions can be discovered in a timely manner. As key indicators, the temperature characteristic values, current characteristic values, and vibration characteristic values ​​can comprehensively evaluate the thermal state, electrical performance, and mechanical stability of the motor, thereby accurately predicting the remaining life of the motor. The calculation of the life influence coefficient further considers the deviation between these characteristic values ​​and the standard values, providing a scientific basis for adjusting the remaining service life. This method not only improves the accuracy of life prediction, but also enhances the reliability and practicality of the prediction results, providing strong support for the maintenance and management of the motor.

[0028] Specifically, when calculating the life influence coefficient of the motor to be detected according to the temperature characteristic value, the current characteristic value, the vibration characteristic value, the temperature standard value, the current standard value and the vibration standard value, it includes: The temperature characteristic value is compared with the temperature standard value. When the temperature characteristic value is greater than the temperature standard value, the difference between the temperature characteristic value and the temperature standard value is calculated and recorded as the temperature difference; Counting the number of all temperature characteristic values ​​greater than the temperature standard value and recording it as the temperature quantity; Compare the current characteristic value with the current standard value, and when the current characteristic value is greater than the current standard value, calculate the difference between the current characteristic value and the current standard value and record it as a first current difference; when the current characteristic value is less than the current standard value, calculate the difference between the current standard value and the current characteristic value and record it as a second current difference; Counting the number of all current standard values ​​greater than the current characteristic value, and recording the number as a first current number; Counting the number of all current standard values ​​that are smaller than the current characteristic value, and recording the number as a second current number; The vibration characteristic value is compared with the vibration standard value. When the vibration characteristic value is greater than the vibration standard value, the difference between the vibration characteristic value and the vibration standard value is calculated and recorded as the vibration difference; Counting the number of all vibration standard values ​​greater than the vibration characteristic value, and recording it as the vibration number; Calculating the life influence coefficient according to the temperature difference, the temperature quantity, the first current difference, the second current difference, the first current quantity, the second current quantity, the vibration difference and the vibration quantity; The life influence coefficient is obtained by the following formula:

[0029] Among them, SY represents the life influence coefficient; α represents the weight coefficient; ΔTi represents the i-th temperature difference; NT represents the temperature quantity; ΔI1j represents the j-th first current difference; NI1 represents the first current quantity; ΔI2k represents the k-th second current difference; NI2 represents the second current quantity; ΔVb represents the b-th vibration difference; NV represents the vibration quantity.

[0030] It is understandable that the calculation of the life influence coefficient SY comprehensively considers the deviations in multiple aspects such as temperature, current and vibration, as well as the frequency of these deviations. The introduction of the weight coefficient α allows different types of deviations to be given different importance according to different application scenarios and needs, thereby further improving the flexibility and accuracy of life prediction. In the calculation process, by accumulating various types of deviations and averaging the corresponding quantities, it is ensured that the life influence coefficient can comprehensively and objectively reflect the actual operating conditions of the motor to be tested. The application of this method not only helps to discover potential problems of the motor in a timely manner, but also provides strong data support for motor maintenance decisions, further extending the service life of the motor and improving the reliability and safety of the equipment.

[0031] Specifically, judging whether to adjust the remaining service life according to the life impact coefficient includes: Comparing the life impact coefficient with a life impact coefficient threshold, and determining whether to adjust the remaining service life according to the comparison result; When the life impact coefficient is greater than the life impact coefficient threshold, determining to adjust the remaining service life; When the life influence coefficient is less than or equal to the life influence coefficient threshold, it is determined that the remaining service life is not adjusted.

[0032] It is understandable that the setting of the life impact coefficient threshold is based on the in-depth analysis and statistics of the historical operating data of similar motors, and it represents the possible deviation range of the motor under normal operating conditions. When the life impact coefficient of the motor to be tested exceeds this threshold, it means that the operating state of the motor has deviated from the normal range, so the remaining service life needs to be adjusted accordingly. This adjustment is not only an instant feedback on the current state of the motor, but also a prediction of the possible future development trend of the motor, which helps to take maintenance measures in advance to avoid sudden shutdown of the motor due to faults, affecting production efficiency and equipment safety.

[0033] Specifically, when determining the adjustment coefficient of the remaining service life according to the life influence coefficient and obtaining the initial remaining service life prediction value of the motor to be detected, it includes: Comparing the life influence coefficient with the first life influence coefficient and the second life influence coefficient, and determining the adjustment coefficient of the remaining service life according to the comparison result; wherein the first life influence coefficient is less than the second life influence coefficient; Setting an adjustment coefficient interval, wherein the adjustment coefficient interval includes a first adjustment coefficient, a second adjustment coefficient, and a third adjustment coefficient; When the life influence coefficient is less than or equal to the first life influence coefficient, determining the adjustment coefficient of the remaining life to be the first adjustment coefficient, and recording the product of the first adjustment coefficient and the remaining life as the initial remaining life prediction value; When the life influence coefficient is greater than the first life influence coefficient and less than or equal to the second life influence coefficient, determining the adjustment coefficient of the remaining life to be the second adjustment coefficient, and recording the product of the second adjustment coefficient and the remaining life as the initial remaining life prediction value; When the life influence coefficient is greater than the second life influence coefficient, the adjustment coefficient of the remaining life is determined to be the third adjustment coefficient, and the product of the third adjustment coefficient and the remaining life is recorded as the initial remaining life prediction value.

[0034] In some embodiments of the present invention, the first adjustment coefficient<the second adjustment coefficient<the third adjustment coefficient.

[0035] It can be understood that the setting of the adjustment coefficient is based on the detailed division and quantitative evaluation of the motor's operating status. By setting different adjustment coefficients, the life attenuation of the motor under different conditions can be more accurately reflected. The first adjustment coefficient, the second adjustment coefficient, and the third adjustment coefficient correspond to three different intervals of the motor's operating status, respectively, representing the gradual deterioration of the motor's operating status from low to high. When the life influence coefficient is in a lower interval, it means that the motor's operating status is relatively good, so the adjustment coefficient is also correspondingly small, and the adjustment range of the remaining service life is also small. As the life influence coefficient increases, the motor's operating status gradually deteriorates, the adjustment coefficient also increases accordingly, and the adjustment range of the remaining service life also increases accordingly. Through the flexible setting and dynamic adjustment of the adjustment coefficient, the accuracy and practicality of life prediction can be further improved, providing strong support for the long-term use and maintenance of the motor.

[0036] Specifically, the historical motor operation records are parsed, and the historical abnormal operation index of the motor to be detected is calculated based on the parsing result, including: Analyze the historical motor operation records to obtain normal operation behavior and abnormal operation behavior; Determine the operation impact factor corresponding to each of the abnormal operation behaviors, and construct an operation impact factor sequence; Counting a first number of the normal operating behaviors and a second number of the abnormal operating behaviors; A historical abnormal operation index of the motor to be detected is calculated according to the operation influencing factor sequence, the first quantity and the second quantity.

[0037] Specifically, the historical abnormal operation index is obtained by the following formula:

[0038] Among them, Rex represents the historical abnormal operation index; d1 represents the first influence coefficient; d2 represents the second influence coefficient; N1 represents the first number; N2 represents the second number; m represents the number of operation influence factors in the operation influence factor sequence; In represents the nth operation influence factor in the operation influence factor sequence; Imax represents the maximum operation influence factor in the operation influence factor sequence.

[0039] In some embodiments of the present invention, normal operation behavior refers to the operation of the motor under standard operating conditions in accordance with established operating specifications and maintenance requirements. Abnormal operation behavior refers to the deviation from the normal state of the motor during operation. These abnormal conditions may be caused by various factors, such as overload operation, voltage fluctuation, poor lubrication, aging of components, etc.

[0040] It can be understood that the calculation of the historical abnormal operation index Rex comprehensively considers the number and type of abnormal operation behaviors and their impact on the operation of the motor. The introduction of the first influence coefficient d1 and the second influence coefficient d2 allows different types of abnormal operation behaviors to be distinguished and their possible impact on the life of the motor to be quantitatively evaluated. By counting the number of normal operation behaviors and abnormal operation behaviors, that is, the first number N1 and the second number N2, the overall condition of the motor operation and the frequency of abnormal conditions can be further understood. The determination of the operation influence factor In is a detailed description of the specific impact of each abnormal operation behavior, which reflects the contribution of abnormal behavior to the attenuation of motor life. The largest operation influence factor Imax in the operation influence factor sequence is used as a reference benchmark to evaluate the relative importance of other operation influence factors in the overall impact. This calculation method not only takes into account the number and type of abnormal operation behaviors, but also deeply analyzes their specific impact on the life of the motor, thereby improving the accuracy and practicality of the historical abnormal operation index Rex.

[0041] Specifically, judging whether to compensate the initial remaining life prediction value according to the historical abnormal operation index includes: Comparing the historical abnormal operation index with the historical abnormal operation index threshold, and determining whether to compensate the initial remaining life prediction value according to the comparison result; When the historical abnormal operation index is less than or equal to the historical abnormal operation index threshold, determining not to compensate the initial remaining life prediction value; When the historical abnormal operation index is greater than the historical abnormal operation index threshold, it is determined to compensate the initial remaining life prediction value.

[0042] It is understandable that the setting of the historical abnormal operation index threshold is also based on the in-depth analysis and statistics of the historical operation data of similar motors. It represents an acceptable range of the impact of abnormal behavior on the life of the motor during the historical operation of the motor. When the historical abnormal operation index of the motor to be tested exceeds this threshold, it means that the motor has experienced a lot of abnormal operation behaviors during its past use, and these behaviors have had a significant impact on the life of the motor. Therefore, it is necessary to compensate the initial remaining life prediction value accordingly to more accurately reflect the actual life status of the motor. This compensation mechanism not only takes into account the current state of the motor, but also combines its historical operation records to provide more comprehensive and accurate data support for the life prediction of the motor.

[0043] Specifically, determining the compensation coefficient of the initial remaining life prediction value according to the historical abnormal operation index, and compensating the initial remaining life prediction value according to the compensation coefficient to obtain the final remaining life prediction value includes: Calculate the ratio of the historical abnormal operation index to the historical abnormal operation index threshold, and record it as the index ratio; Setting a compensation coefficient interval, wherein the compensation coefficient interval includes a first compensation coefficient, a second compensation coefficient, and a third compensation coefficient; When the index ratio is greater than 1 and less than or equal to 1.2, the compensation coefficient is determined to be a first compensation coefficient, and the product of the first compensation coefficient and the initial remaining life prediction value is used as the final remaining life prediction value; When the index ratio is greater than 1.2 and less than or equal to 1.5, the compensation coefficient is determined to be a second compensation coefficient, and the product of the second compensation coefficient and the initial remaining life prediction value is used as the final remaining life prediction value; When the exponential ratio is greater than 1.5, the compensation coefficient is determined to be a third compensation coefficient, and the product of the third compensation coefficient and the initial remaining life prediction value is used as the final remaining life prediction value.

[0044] In some embodiments of the present invention, the first compensation coefficient is less than the second compensation coefficient and less than the third compensation coefficient.

[0045] It can be understood that the setting of the compensation coefficient further reflects the careful consideration of the historical operating conditions of the motor. By calculating the ratio of the historical abnormal operation index to the historical abnormal operation index threshold, the specific impact of abnormal behavior on the life of the motor during its historical operation can be quantitatively evaluated. The settings of the first compensation coefficient, the second compensation coefficient, and the third compensation coefficient correspond to different degrees of historical abnormal influences, respectively, thereby achieving differentiated compensation for the initial remaining life prediction value. When the index ratio is in a lower range, it means that the motor has relatively few historical abnormal operating behaviors and has little impact on its life, so the compensation coefficient is correspondingly small and the compensation amplitude is also small. As the index ratio increases, the historical abnormal operation of the motor gradually increases, the impact on its life also increases, the compensation coefficient also increases, and the compensation amplitude also increases accordingly. This compensation mechanism based on historical operation records not only improves the accuracy and practicality of life prediction, but also provides a more scientific basis for the long-term use and maintenance of the motor.

[0046] See also Figure 2 As shown, in some embodiments of the present application, this embodiment provides a life detection system for a brushless DC reduction motor, comprising: A determination module is configured to determine a motor to be detected, collect a calibrated life and a cumulative use time of the motor to be detected, and determine a remaining service life of the motor to be detected according to the calibrated life and the cumulative use time; A prediction module is configured to set an initial speed range of the motor to be detected and drive the motor to be detected to rotate in the initial speed range, collect parameter information of the motor to be detected during the rotation process, and analyze the parameter information, adjust the remaining service life based on the analysis result, and obtain an initial remaining service life prediction value of the motor to be detected; A judgment module is configured to extract corresponding historical motor operation records from a historical motor operation record library based on the motor to be detected and the initial speed range, parse the historical motor operation records, calculate a historical abnormal operation index of the motor to be detected based on the parsing result, and judge whether to compensate the initial remaining life prediction value according to the historical abnormal operation index; The compensation module is configured to determine a compensation coefficient of the initial remaining life prediction value according to the historical abnormal operation index when it is determined to compensate the initial remaining life prediction value, and compensate the initial remaining life prediction value according to the compensation coefficient to obtain a final remaining life prediction value.

[0047] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0048] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0049] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0050] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A life detection method for a brushless DC reduction motor, characterized in that: include: Determine a motor to be detected, collect the calibrated life and accumulated use time of the motor to be detected, and determine the remaining service life of the motor to be detected according to the calibrated life and accumulated use time; Setting an initial speed range of the motor to be detected and driving the motor to be detected to rotate in the initial speed range, collecting parameter information of the motor to be detected during the rotation process, parsing the parameter information, adjusting the remaining service life based on the parsing result, and obtaining an initial remaining service life prediction value of the motor to be detected; Extracting corresponding historical motor operation records from a historical motor operation record library based on the motor to be detected and the initial speed range, parsing the historical motor operation records, calculating a historical abnormal operation index of the motor to be detected based on the parsing result, and judging whether to compensate the initial remaining life prediction value according to the historical abnormal operation index; When it is determined to compensate the initial remaining life prediction value, a compensation coefficient of the initial remaining life prediction value is determined according to the historical abnormal operation index, and the initial remaining life prediction value is compensated according to the compensation coefficient to obtain a final remaining life prediction value.

2. The life detection method for a brushless DC reduction motor according to claim 1, characterized in that: Collecting parameter information of the motor to be detected during the rotation process, parsing the parameter information, adjusting the remaining service life based on the parsing result, and obtaining an initial remaining service life prediction value of the motor to be detected, including: Parsing the parameter information to obtain temperature data, current data and vibration data of the motor to be tested; Extracting features from the temperature data, current data and vibration data respectively to obtain temperature characteristic values, current characteristic values ​​and vibration characteristic values; Respectively determining the temperature standard value, current standard value and vibration standard value corresponding to the temperature characteristic value, current characteristic value and vibration characteristic value; Calculating the life influence coefficient of the motor to be tested according to the temperature characteristic value, the current characteristic value, the vibration characteristic value, the temperature standard value, the current standard value and the vibration standard value; Determining whether to adjust the remaining service life according to the life impact coefficient; When it is determined to adjust the remaining service life, an adjustment coefficient of the remaining service life is determined according to the life influence coefficient, and an initial remaining service life prediction value of the motor to be detected is obtained.

3. The life detection method for a brushless DC reduction motor according to claim 2, characterized in that: When calculating the life influence coefficient of the motor to be detected according to the temperature characteristic value, the current characteristic value, the vibration characteristic value, the temperature standard value, the current standard value and the vibration standard value, it includes: The temperature characteristic value is compared with the temperature standard value. When the temperature characteristic value is greater than the temperature standard value, the difference between the temperature characteristic value and the temperature standard value is calculated and recorded as the temperature difference; Counting the number of all temperature characteristic values ​​greater than the temperature standard value and recording it as the temperature quantity; Compare the current characteristic value with the current standard value, and when the current characteristic value is greater than the current standard value, calculate the difference between the current characteristic value and the current standard value and record it as a first current difference; when the current characteristic value is less than the current standard value, calculate the difference between the current standard value and the current characteristic value and record it as a second current difference; Counting the number of all current standard values ​​greater than the current characteristic value, and recording the number as a first current number; Counting the number of all current standard values ​​that are smaller than the current characteristic value, and recording the number as a second current number; The vibration characteristic value is compared with the vibration standard value. When the vibration characteristic value is greater than the vibration standard value, the difference between the vibration characteristic value and the vibration standard value is calculated and recorded as the vibration difference; Counting the number of all vibration standard values ​​greater than the vibration characteristic value, and recording it as the vibration number; Calculating the life influence coefficient according to the temperature difference, the temperature quantity, the first current difference, the second current difference, the first current quantity, the second current quantity, the vibration difference and the vibration quantity; The life influence coefficient is obtained by the following formula: ； Among them, SY represents the life influence coefficient; α represents the weight coefficient; ΔTi represents the i-th temperature difference; NT represents the temperature quantity; ΔI1j represents the j-th first current difference; NI1 represents the first current quantity; ΔI2k represents the k-th second current difference; NI2 represents the second current quantity; ΔVb represents the b-th vibration difference; NV represents the vibration quantity.

4. The life detection method for a brushless DC reduction motor according to claim 2, characterized in that: When judging whether to adjust the remaining service life according to the life impact coefficient, it includes: Comparing the life impact coefficient with a life impact coefficient threshold, and determining whether to adjust the remaining service life according to the comparison result; When the life impact coefficient is greater than the life impact coefficient threshold, determining to adjust the remaining service life; When the life influence coefficient is less than or equal to the life influence coefficient threshold, it is determined that the remaining service life is not adjusted.

5. The life detection method for a brushless DC reduction motor according to claim 2, characterized in that: When determining the adjustment coefficient of the remaining service life according to the life influence coefficient and obtaining the initial remaining service life prediction value of the motor to be detected, it includes: Comparing the life influence coefficient with the first life influence coefficient and the second life influence coefficient, and determining the adjustment coefficient of the remaining service life according to the comparison result; wherein the first life influence coefficient is less than the second life influence coefficient; Setting an adjustment coefficient interval, wherein the adjustment coefficient interval includes a first adjustment coefficient, a second adjustment coefficient, and a third adjustment coefficient; When the life influence coefficient is less than or equal to the first life influence coefficient, determining the adjustment coefficient of the remaining life to be the first adjustment coefficient, and recording the product of the first adjustment coefficient and the remaining life as the initial remaining life prediction value; When the life influence coefficient is greater than the first life influence coefficient and less than or equal to the second life influence coefficient, determining the adjustment coefficient of the remaining life to be the second adjustment coefficient, and recording the product of the second adjustment coefficient and the remaining life as the initial remaining life prediction value; When the life influence coefficient is greater than the second life influence coefficient, the adjustment coefficient of the remaining life is determined to be the third adjustment coefficient, and the product of the third adjustment coefficient and the remaining life is recorded as the initial remaining life prediction value.

6. The life detection method for a brushless DC reduction motor according to claim 1, characterized in that: The historical motor operation records are analyzed, and the historical abnormal operation index of the motor to be detected is calculated based on the analysis results, including: Analyze the historical motor operation records to obtain normal operation behavior and abnormal operation behavior; Determine the operation impact factor corresponding to each of the abnormal operation behaviors, and construct an operation impact factor sequence; Counting a first number of the normal operating behaviors and a second number of the abnormal operating behaviors; A historical abnormal operation index of the motor to be detected is calculated according to the operation influencing factor sequence, the first quantity and the second quantity.

7. The life detection method for a brushless DC reduction motor according to claim 6, characterized in that: The historical abnormal operation index is obtained by the following formula: ； Among them, Rex represents the historical abnormal operation index; d1 represents the first influence coefficient; d2 represents the second influence coefficient; N1 represents the first number; N2 represents the second number; m represents the number of operation influence factors in the operation influence factor sequence; In represents the nth operation influence factor in the operation influence factor sequence; Imax represents the maximum operation influence factor in the operation influence factor sequence.

8. The life detection method for a brushless DC reduction motor according to claim 1, characterized in that: When judging whether to compensate the initial remaining life prediction value according to the historical abnormal operation index, it includes: Comparing the historical abnormal operation index with the historical abnormal operation index threshold, and determining whether to compensate the initial remaining life prediction value according to the comparison result; When the historical abnormal operation index is less than or equal to the historical abnormal operation index threshold, determining not to compensate the initial remaining life prediction value; When the historical abnormal operation index is greater than the historical abnormal operation index threshold, it is determined to compensate the initial remaining life prediction value.

9. The life detection method for a brushless DC reduction motor according to claim 8, characterized in that: Determining a compensation coefficient of the initial remaining life prediction value according to the historical abnormal operation index, and compensating the initial remaining life prediction value according to the compensation coefficient to obtain a final remaining life prediction value, including: Calculate the ratio of the historical abnormal operation index to the historical abnormal operation index threshold, and record it as the index ratio; Setting a compensation coefficient interval, wherein the compensation coefficient interval includes a first compensation coefficient, a second compensation coefficient, and a third compensation coefficient; When the index ratio is greater than 1 and less than or equal to 1.2, the compensation coefficient is determined to be a first compensation coefficient, and the product of the first compensation coefficient and the initial remaining life prediction value is used as the final remaining life prediction value; When the index ratio is greater than 1.2 and less than or equal to 1.5, the compensation coefficient is determined to be a second compensation coefficient, and the product of the second compensation coefficient and the initial remaining life prediction value is used as the final remaining life prediction value; When the exponential ratio is greater than 1.5, the compensation coefficient is determined to be a third compensation coefficient, and the product of the third compensation coefficient and the initial remaining life prediction value is used as the final remaining life prediction value.

10. A life detection system for a brushless DC reduction motor, applied to the life detection method for a brushless DC reduction motor as claimed in any one of claims 1 to 9, characterized in that: include: A determination module is configured to determine a motor to be detected, collect a calibrated life and a cumulative use time of the motor to be detected, and determine a remaining service life of the motor to be detected according to the calibrated life and the cumulative use time; A prediction module is configured to set an initial speed range of the motor to be detected and drive the motor to be detected to rotate in the initial speed range, collect parameter information of the motor to be detected during the rotation process, and analyze the parameter information, adjust the remaining service life based on the analysis result, and obtain an initial remaining service life prediction value of the motor to be detected; A judgment module is configured to extract corresponding historical motor operation records from a historical motor operation record library based on the motor to be detected and the initial speed range, parse the historical motor operation records, calculate a historical abnormal operation index of the motor to be detected based on the parsing result, and judge whether to compensate the initial remaining life prediction value according to the historical abnormal operation index; The compensation module is configured to determine a compensation coefficient of the initial remaining life prediction value according to the historical abnormal operation index when it is determined to compensate the initial remaining life prediction value, and compensate the initial remaining life prediction value according to the compensation coefficient to obtain a final remaining life prediction value.

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