Internet technology-based method for evaluating health state and full life of induction motor

Abstract

The invention discloses an induction motor health state and full life evaluation method based on the Internet technology, and relates to the technical field of induction motor detection, and the method comprises the steps: obtaining a plurality of evaluation points of a target object, obtaining the last damage information of a plurality of scrapped target objects before scrapping at the same time, and damaging the target object according to the damage information; then, sequentially combining the damaged objects once to form a plurality of damaged groups, and determining an inspection group according to the plurality of damaged groups; any target object is monitored in real time, an abnormal evaluation point is obtained, and when the abnormal evaluation point comprises all damaged objects, whether the corresponding target object needs to be scrapped or not is analyzed; determining whether the target object needs to be scrapped according to the maintenance record of the target object; the method is simple, effective, easy and practical.

Description

Technical Field

[0001] The present invention belongs to the technical field of induction motor detection, and specifically is an induction motor health status and full life assessment method based on Internet technology. Background Art

[0002] The patent with publication number CN113125954A discloses a fault diagnosis method and application of electric vehicle drive motors, which belongs to the field of transportation monitoring technology. In view of the problems that the existing electric vehicle motor drive cannot realize predictive maintenance and online health detection, the present invention provides a fault diagnosis method, which first parses and analyzes the formation mechanism of electric vehicle drive motor faults; secondly, builds a mathematical model and fault mechanism theory, establishes the relationship and calculation method between electric vehicle drive motor faults and measurable signals; and then measures the electric vehicle magnetic field and port parameters in real time. Perform data analysis, dynamically update the constructed component health model to realize the detection of motor status, so as to provide decision-making. The present invention combines giant magnetoresistance and long-period fiber grating sensing technology for the first time and applies it to electric vehicle fault diagnosis, realizing full life cycle motor status monitoring, which can reduce vehicle operation and maintenance costs and improve the reliability and intelligence of electric vehicle electric drive systems.

[0003] However, for induction motors, how to provide a targeted method to evaluate their life span is a problem that exists in the prior art. However, how to evaluate the life span specifically, when to determine that the corresponding induction motor should be evaluated for life span, and how to determine whether the induction motor should be replaced are all problems. Based on this, a solution is proposed. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes an induction motor health status and life cycle assessment method based on Internet technology, which specifically includes the following steps: A plurality of evaluation points of a target object are obtained, where the target object is an induction motor, and the evaluation points are selected monitoring parameters of the corresponding induction motor; The last damage information of several scrapped target objects before scrapping is obtained, the damage information includes damage assessment points, the occurrence ratio is determined according to the number of occurrences of the damage assessment points, and the damage assessment points exceeding the set value X1 are marked as damaged targets; In the order of decreasing the number of damaged items, the damaged items are combined once to form several damaged groups; The homogeneity number of the damage group is determined based on the simultaneous appearance of the damage targets in any damage group in the damage information of the same target object; the damage group with a homogeneity number exceeding the set index number and containing the largest number of damage targets is marked as the inspection group; Then, any target object is monitored in real time to obtain abnormal assessment points. When the abnormal assessment points include all damaged targets, a warning signal is generated.

[0005] Further, the evaluation points include the internal temperature of the motor, the vibration of the motor, the current, voltage, power and temperature monitored in real time with the help of temperature sensors; The vibration of the motor includes two parameters: amplitude and frequency; The internal temperature includes the temperature of the windings and bearings.

[0006] Furthermore, the specific method for determining the subject matter of damage is: Obtain the last damage information of several scrapped target objects before they are processed, the damage information includes a damage assessment point, and the damage assessment point refers to the assessment point where the last abnormality occurred; According to the damage assessment points in the damage information of all scrapped induction motors, the number of occurrences of each damage assessment point is obtained, and the number is divided by the number of scrapped induction motors to obtain a numerical value marked as an occurrence ratio; All damage assessment points whose appearance ratio exceeds the set value X1 are marked as damage targets, and all damage targets are obtained.

[0007] Furthermore, the test group is obtained by combining data, and the specific method of combining data is: First, all damaged targets are obtained as a damage group, and the homogeneity number of the damage group is obtained. The homogeneity number is determined in the following way: when all damage assessment points in the damage information of any target object include all damaged targets, the homogeneity number is automatically increased by one, and the homogeneity number of the damage group is obtained in this way; When the homogeneity number is lower than the set index number, the damaged group will be removed, otherwise the damaged group will be marked as the test group and the data combination will stop; Then, the number of damaged items in the damaged group is subtracted by one, and the obtained value is marked as the number of damaged items in the new damaged group. According to the number of damaged items, all damaged items are randomly combined into the corresponding number of damaged groups to obtain a number of damaged groups; Obtain the homogeneity number of each damage group. If there is no damage group whose homogeneity number exceeds the set index number among all damage groups, all damage groups will be deleted. If there is any damage group whose homogeneity number exceeds the set index number, the corresponding damage group will be marked as a test group. When the inspection group is not obtained, the number of damaged targets in a single damaged group will be automatically reduced by one, and then they will be regrouped into several damaged groups, and the inspection group will be determined based on homogeneous numbers. If it is not found, the number of damaged targets in the damaged group will be reduced by one until the inspection group is found; Several inspection groups are obtained, and the inspection group with the largest number of damaged items is retained, and the rest are removed to obtain at least one inspection group.

[0008] Furthermore, when a warning signal is generated, a warning analysis will be performed on the target object. The specific method of the warning analysis is as follows: First, obtain the maintenance record of the target object, the maintenance record includes the maintenance object and its corresponding maintenance times, and the maintenance object is the part corresponding to the target object; Get the number of maintenance objects, mark it as the number of objects, then add up all the maintenance times and mark the value obtained as the total maintenance value. Calculate the number of discards based on the number of objects and the total maintenance value. The calculation formula is: Abandoned number = 0.59*number of objects + 0.41*total repair value; When the number of discards exceeds the discard standard value, a discard signal is generated, and the target object at this time is marked as a discarded object; The discarded standard value is confirmed with the help of past analysis.

[0009] Furthermore, the maintenance number refers to the number of times a corresponding arbitrary maintenance object is repaired, and repair refers to mending or replacing. When mending, the maintenance number is recorded as one, and when replacing, the maintenance number is recorded as five.

[0010] Furthermore, the specific methods of past analysis are as follows: Obtain maintenance records of several scrapped target objects; Select any maintenance record of a scrapped target object, and obtain the maintenance object and maintenance times in the maintenance record; First, the number of maintenance objects is obtained and marked as the number of objects. At the same time, the number of maintenance times is obtained, and the value obtained by adding up all the maintenance times is marked as the total maintenance value. The formula is used to calculate the number of discards. The specific calculation formula is: Abandoned number = 0.59*number of objects + 0.41*total repair value; Then, the same process is performed on all other scrapped target objects to obtain the discarded number of all scrapped target objects, which is marked as Fi, i=1, ..., n; Automatically calculate the mean value P of Fi, and use the formula to calculate the aggregate value W of Fi. The specific calculation formula is: ; When W does not exceed X1, the mean of Fi is automatically marked as a discarded standard value; otherwise, Fi is sorted in descending order according to |Fi-P|, and then Fi is selected in sequence. Each time a Fi is selected, it is deleted, and then the W value of the remaining Fi is recalculated. If it still exceeds X1, the next Fi is selected in sequence, deleted, and the W value of the remaining Fi is recalculated until it does not exceed X1; Get the mean of the remaining Fi and mark it as a discarded standard value.

[0011] Furthermore, the number of maintenance times needs to be updated according to the weight of the corresponding maintenance object. The update method is: The weight of each maintenance object is automatically obtained. The weight of each maintenance object is set by the administrator, and then the maintenance times of different maintenance objects are multiplied by the corresponding weights to update the maintenance times.

[0012] Compared with the prior art, the present invention has the following beneficial effects: The present invention obtains several evaluation points of the target object and the last damage information of several scrapped target objects before scrapping, and damages the target according to the damage information; then the damaged targets are combined into several damage groups in sequence, and the inspection groups are determined according to the several damage groups; then any target object is monitored in real time to obtain abnormal evaluation points. When the abnormal evaluation points include all the damaged targets, it indicates that the corresponding target object should be analyzed to see whether it needs to be scrapped; Then, it is determined whether the target object needs to be scrapped according to the maintenance record of the target object; the present invention is simple, effective, and easy to use. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A flow chart of a method for determining whether to conduct a scrap analysis according to the present invention; Figure 2 A flow chart of a method for determining whether an induction motor should be scrapped according to the present invention. DETAILED DESCRIPTION

[0014] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] See also Figure 1 ,This application provides an induction motor health status and life cycle assessment method based on Internet technology; As the first embodiment of the present application, the evaluation method of this embodiment specifically includes the following steps: Step 1: To facilitate the description of the entire article, the induction motor is marked as the target object here, and the entire article will be unified later. First, set up the monitoring environment for the motor and obtain the relevant parameters of the induction motor. The relevant parameters are parameters that can reflect the state of the induction motor, which are generally the following parameters: The temperature of each part of the motor is monitored in real time with the help of temperature sensors, especially the temperature of the windings and bearings; the insulation resistance of the motor windings is used to evaluate the insulation performance of the insulation material; the vibration of the motor, current, voltage, power and temperature and other key operating parameters, the vibration is generally evaluated by amplitude and frequency; Step 2: Mark each parameter as an evaluation point to obtain a number of evaluation points, where the evaluation points are indicated by the administrator from the above conditions; Step 3: Obtain the last damage information of several scrapped target objects before they are processed. The damage information includes a damage assessment point, which refers to the assessment point where the last abnormality occurred. Step 4: According to the damage assessment points in the damage information of all scrapped induction motors, the number of occurrences of each damage assessment point is obtained, and the number is divided by the number of scrapped induction motors to obtain a numerical value marked as the occurrence ratio; Step 5: Mark all damage assessment points whose occurrence ratio exceeds the set value X1 as damage targets, obtain all damage targets, and combine the data for all damage targets. The data combination method is: First, all damaged targets are obtained as a damage group, and the homogeneity number of the damage group is obtained. The homogeneity number is determined in the following way: when all damage assessment points in the damage information of any target object include all damaged targets, the homogeneity number is automatically increased by one, and the homogeneity number of the damage group is obtained in this way; When the homogeneity number is lower than the set index number, the damaged group will be removed, otherwise the damaged group will be marked as the test group and the data combination will stop; Then, the number of damaged items in the damaged group is subtracted by one, and the obtained value is marked as the number of damaged items in the new damaged group. According to the number of damaged items, all damaged items are randomly combined into the corresponding number of damaged groups to obtain a number of damaged groups; Obtain the homogeneity number of each damage group. If there is no damage group whose homogeneity number exceeds the set index number among all damage groups, all damage groups will be deleted. If there is any damage group whose homogeneity number exceeds the set index number, the corresponding damage group will be marked as a test group. When the inspection group is not obtained, the number of damaged targets in a single damaged group will be automatically reduced by one, and then they will be regrouped into several damaged groups, and the inspection group will be determined based on homogeneous numbers. If it is not found, the number of damaged targets in the damaged group will be reduced by one until the inspection group is found; Get several inspection groups, keep the ones with the most damaged items in the inspection group, remove the rest, and get at least one inspection group. Of course, there may be several inspection groups, in which case all will be kept; Step 6: Monitor each evaluation point of any target object in real time and obtain the value of each evaluation point. When the value is abnormal, the evaluation point will be marked as an abnormal evaluation point. At this time, the abnormal evaluation point will be compared with all the inspection groups. The specific comparison method is: Select any inspection group and obtain all damaged items in the inspection group. When all abnormal assessment points include all damaged items, a warning signal is generated. Step 7: When a warning signal is generated, a warning analysis will be conducted on the target object. The specific method of warning analysis is as follows: First, obtain the maintenance record of the target object. The maintenance record includes the maintenance object and its corresponding maintenance times. The maintenance object is the part of the corresponding target object. The maintenance times refers to the number of times the corresponding maintenance object has been repaired. Here, repair refers to repair or replacement. When repairing, the maintenance times is recorded as one, and when replacing, the maintenance times is recorded as five; Get the number of maintenance objects, mark it as the number of objects, then add up all the maintenance times and mark the value obtained as the total maintenance value. Calculate the number of discards based on the number of objects and the total maintenance value. The calculation formula is: Abandoned number = 0.59*number of objects + 0.41*total repair value; When the number of discarded objects exceeds the discard standard value, a discard signal is generated, and the target object at this time is marked as a discarded object, indicating that the current induction motor needs to be discarded; The abandoned standard value is confirmed by means of past analysis. The specific method of past analysis is as follows: Obtain maintenance records of several scrapped target objects; Select any maintenance record of a scrapped target object, and obtain the maintenance object and maintenance times in the maintenance record; First, the number of maintenance objects is obtained and marked as the number of objects. At the same time, the number of maintenance times is obtained, and the value obtained by adding up all the maintenance times is marked as the total maintenance value. The formula is used to calculate the number of discards. The specific calculation formula is: Abandoned number = 0.59*number of objects + 0.41*total repair value; Then, the same process is performed on all other scrapped target objects to obtain the discarded number of all scrapped target objects, which is marked as Fi, i=1, ..., n; Automatically calculate the mean value P of Fi, and use the formula to calculate the aggregate value W of Fi. The specific calculation formula is: ; When W does not exceed X1, the mean of Fi is automatically marked as a discarded standard value; otherwise, Fi is sorted in descending order according to |Fi-P|, and then Fi is selected in sequence. Each time a Fi is selected, it is deleted, and then the W value of the remaining Fi is recalculated. If it still exceeds X1, the next Fi is selected in sequence, deleted, and the W value of the remaining Fi is recalculated until it does not exceed X1; Get the mean of the remaining Fi and mark it as a discarded standard value.

[0016] As the second embodiment of the present application, this embodiment is implemented on the basis of the first embodiment. The difference from the first embodiment is that the warning analysis method in this embodiment is different. The specific method of this embodiment is as follows: First, the maintenance record of the target object is obtained. The maintenance record includes the maintenance object and its corresponding maintenance times. The maintenance object is the part of the corresponding target object. The maintenance times refers to the number of times the corresponding maintenance object has been repaired. Here, repair refers to mending or replacement. When mending, the maintenance times is recorded as one, and when replacing, the maintenance times is recorded as five. At the same time, the weight of each maintenance object is automatically obtained. The weight of each maintenance object is set by the administrator. Then, the maintenance times of different maintenance objects are multiplied by the corresponding weights to update the maintenance times. The sum of all maintenance times is automatically calculated and marked as the total maintenance value. Get the number of maintenance objects, mark it as the number of objects, then multiply the number of maintenance times by the weight of the corresponding maintenance object, and calculate the number of discards based on the number of objects and the number of maintenance times. The calculation formula is: Abandoned number = 0.59*number of objects + 0.41*total repair value; When the number of discards exceeds the discard standard value, a discard signal is generated, and the target object at this time is marked as a discarded object; The abandoned standard value is confirmed by means of past analysis. The specific method of past analysis is as follows: Obtain maintenance records of several scrapped target objects; Select any maintenance record of a scrapped target object, and obtain the maintenance object and maintenance times in the maintenance record; First, the number of maintenance objects is obtained and marked as the number of objects. At the same time, the number of maintenance times is obtained. The number of maintenance times of different maintenance objects is multiplied by the corresponding weights to update the number of maintenance times. All maintenance times are added up to get the total maintenance value. The formula is used to calculate the number of discards. The specific calculation formula is: Abandoned number = 0.59*number of objects + 0.41*total repair value; Then, the same process is performed on all other scrapped target objects to obtain the discarded number of all scrapped target objects, which is marked as Fi, i=1, ..., n; Automatically calculate the mean value P of Fi, and use the formula to calculate the aggregate value W of Fi. The specific calculation formula is: ; When W does not exceed X1, the mean of Fi is automatically marked as a discarded standard value; otherwise, Fi is sorted in descending order according to |Fi-P|, and then Fi is selected in sequence. Each time a Fi is selected, it is deleted, and then the W value of the remaining Fi is recalculated. If it still exceeds X1, the next Fi is selected in sequence, deleted, and the W value of the remaining Fi is recalculated until it does not exceed X1; Get the mean of the remaining Fi and mark it as a discarded standard value.

[0017] Some of the data in the above formula are calculated by removing the dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0018] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An induction motor health status and life cycle assessment method based on Internet technology, characterized in that: include: A plurality of evaluation points of a target object are obtained, where the target object is an induction motor, and the evaluation points are selected monitoring parameters of the corresponding induction motor; The last damage information of several scrapped target objects before scrapping is obtained, the damage information includes damage assessment points, the occurrence ratio is determined according to the number of occurrences of the damage assessment points, and the damage assessment points exceeding the set value X1 are marked as damaged targets; In the order of decreasing the number of damaged items, the damaged items are combined once to form several damaged groups; The homogeneity number of the damage group is determined based on the simultaneous appearance of the damage targets in any damage group in the damage information of the same target object; the damage group with a homogeneity number exceeding the set index number and containing the largest number of damage targets is marked as the inspection group; Then, any target object is monitored in real time to obtain abnormal assessment points. When the abnormal assessment points include all damaged targets, a warning signal is generated.

2. The method for evaluating the health status and life cycle of an induction motor based on Internet technology according to claim 1, characterized in that: Evaluation points include the internal temperature of the motor monitored in real time with the help of temperature sensors, the vibration of the motor, current, voltage, power and temperature; The vibration of the motor includes two parameters: amplitude and frequency; The internal temperature includes the temperature of the windings and bearings.

3. The method for evaluating the health status and life of an induction motor based on Internet technology according to claim 1 is characterized in that: The specific methods for determining the subject matter of damage are: Obtain the last damage information of several scrapped target objects before they are processed, the damage information includes a damage assessment point, and the damage assessment point refers to the assessment point where the last abnormality occurred; According to the damage assessment points in the damage information of all scrapped induction motors, the number of occurrences of each damage assessment point is obtained, and the number is divided by the number of scrapped induction motors to obtain a numerical value marked as an occurrence ratio; All damage assessment points whose appearance ratio exceeds the set value X1 are marked as damage targets, and all damage targets are obtained.

4. The method for evaluating the health status and life of an induction motor based on Internet technology according to claim 1 is characterized in that: The inspection group is obtained by data combination, and the specific method of data combination is: First, all damaged targets are obtained as a damage group, and the homogeneity number of the damage group is obtained. The homogeneity number is determined in the following way: when all damage assessment points in the damage information of any target object include all damaged targets, the homogeneity number is automatically increased by one, and the homogeneity number of the damage group is obtained in this way; When the homogeneity number is lower than the set index number, the damaged group will be removed, otherwise the damaged group will be marked as the test group and the data combination will stop; Then, the number of damaged items in the damaged group is subtracted by one, and the obtained value is marked as the number of damaged items in the new damaged group. According to the number of damaged items, all damaged items are randomly combined into the corresponding number of damaged groups to obtain a number of damaged groups; Obtain the homogeneity number of each damage group. If there is no damage group whose homogeneity number exceeds the set index number among all damage groups, all damage groups will be deleted. If there is any damage group whose homogeneity number exceeds the set index number, the corresponding damage group will be marked as a test group. When the inspection group is not obtained, the number of damaged targets in a single damaged group will be automatically reduced by one, and then they will be regrouped into several damaged groups, and the inspection group will be determined based on homogeneous numbers. If it is not found, the number of damaged targets in the damaged group will be reduced by one until the inspection group is found; Several inspection groups are obtained, and the inspection group with the largest number of damaged items is retained, and the rest are removed to obtain at least one inspection group.

5. The method for evaluating the health status and life of an induction motor based on Internet technology according to claim 1, characterized in that: When a warning signal is generated, a warning analysis will be performed on the target object. The specific methods of warning analysis are as follows: First, obtain the maintenance record of the target object, the maintenance record includes the maintenance object and its corresponding maintenance times, and the maintenance object is the part corresponding to the target object; Get the number of maintenance objects, mark it as the number of objects, then add up all the maintenance times and mark the value obtained as the total maintenance value. Calculate the number of discards based on the number of objects and the total maintenance value. The calculation formula is: Abandoned number = 0.59*number of objects + 0.41*total repair value; When the number of discards exceeds the discard standard value, a discard signal is generated, and the target object at this time is marked as a discarded object; The discarded standard value is confirmed with the help of past analysis.

6. The method for evaluating the health status and life of an induction motor based on Internet technology according to claim 1, characterized in that: The number of maintenance times refers to the number of times a corresponding maintenance object has been repaired. Repair refers to mending or replacing. When mending, the number of maintenance times is recorded as one, and when replacing, the number of maintenance times is recorded as five.

7. The method for evaluating the health status and life of an induction motor based on Internet technology according to claim 5 is characterized in that: The specific methods of past analysis are as follows: Obtain maintenance records of several scrapped target objects; Select any maintenance record of a scrapped target object, and obtain the maintenance object and maintenance times in the maintenance record; First, the number of maintenance objects is obtained and marked as the number of objects. At the same time, the number of maintenance times is obtained, and the value obtained by adding up all the maintenance times is marked as the total maintenance value. The formula is used to calculate the number of discards. The specific calculation formula is: Abandoned number = 0.59*number of objects + 0.41*total repair value; Then, the same process is performed on all other scrapped target objects to obtain the discarded number of all scrapped target objects, which is marked as Fi, i=1, ..., n; Automatically calculate the mean value P of Fi, and use the formula to calculate the aggregate value W of Fi. The specific calculation formula is: ； When W does not exceed X1, the mean of Fi is automatically marked as a discarded standard value; otherwise, Fi is sorted in descending order according to |Fi-P|, and then Fi is selected in sequence. Each time a Fi is selected, it is deleted, and then the W value of the remaining Fi is recalculated. If it still exceeds X1, the next Fi is selected in sequence, deleted, and the W value of the remaining Fi is recalculated until it does not exceed X1; Get the mean of the remaining Fi and mark it as a discarded standard value.

8. The method for evaluating the health status and life of an induction motor based on Internet technology according to claim 7, characterized in that: The number of maintenance times also needs to be updated according to the weight of the corresponding maintenance object. The update method is: The weight of each maintenance object is automatically obtained. The weight of each maintenance object is set by the administrator, and then the maintenance times of different maintenance objects are multiplied by the corresponding weights to update the maintenance times.

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