Motor current three-phase imbalance fault early warning method, system and equipment

Abstract

The invention belongs to the field of motor three-phase state evaluation, and particularly relates to a motor current three-phase imbalance fault early warning method, system and equipment, and the method comprises the steps: traversing all three-phase motor current monitoring points, obtaining monitoring data and corresponding initial identifiers, carrying out the preprocessing of shape parameter data, taking the data as a processing identifier, and carrying out the early warning of the three-phase imbalance fault of the motor current; combining the initial identifier to obtain a final identifier; sorting and grouping the monitoring data, and rejecting the data according to delay time to obtain screened data; calculating a maximum deviation value of the same motor at the same time in the screened data; matching the maximum deviation value with the final identifier to obtain an output result; the three-phase state of the motor is determined according to the preset deviation value, and the preset deviation value can be corrected according to the historical data; if the three-phase state is unbalanced, early warning information is sent out. According to the invention, when the three phases of the current of the motor are unbalanced, accurate positioning and early warning can be realized, the deviation value can be adaptively adjusted, and false alarm is avoided.

Description

Technical Field

[0001] The present invention belongs to the field of motor three-phase state evaluation, and specifically relates to a motor current three-phase unbalance fault early warning method, system and equipment. Background Art

[0002] In the comprehensive operation and maintenance system of hydro-turbine generator sets, the balance monitoring of motor current is one of the key links to ensure the stable operation of various auxiliary equipment. This covers several key motor equipment such as governor oil pump motor, high and low pressure air machine, leakage drainage pump motor, maintenance drainage pump motor and plant water pump motor. These motors undertake different important tasks in the daily operation of the generator set, such as adjusting the speed of the unit, providing compressed air, removing moisture from the system and maintaining normal water supply in the plant. The problem of motor current imbalance, that is, the significant difference in the numerical value of the three-phase current, may frequently occur in the operation of these equipment. This problem may be caused by a variety of factors, including but not limited to winding failure, power supply voltage fluctuation, uneven load distribution, wear or damage of mechanical parts, etc. Current imbalance will not only lead to reduced motor efficiency and increased temperature, but also may cause vibration, noise and overheating, which will seriously affect the service life of the motor and the overall performance of the unit.

[0003] In the related art, the three-phase imbalance of the motor current is mainly dealt with through regular maintenance. Through regular maintenance, the three-phase current of the motor is measured and compared with the set preset threshold value to evaluate whether the three-phase state of the motor current is balanced.

[0004] With respect to the above-mentioned related technologies, it is impossible to accurately and timely detect the imbalance of the three-phase current of the motor through regular maintenance, and it is easy to cause false alarms by only using a fixed preset threshold. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a method, system and equipment for early warning of three-phase imbalance fault of motor current, which can achieve accurate positioning and early warning when the three-phase imbalance of motor current occurs, and can adaptively adjust the deviation value to avoid false alarms.

[0006] A motor current three-phase unbalanced fault early warning method, comprising:

[0007] Obtain all three-phase motor current monitoring points, traverse all three-phase motor current monitoring points, obtain monitoring data and corresponding initial identifiers, wherein the initial identifier includes a power plant code, equipment type, equipment name, and collection time;

[0008] Setting the parameter data corresponding to the three-phase motor current monitoring point, and preprocessing the parameter data to obtain the processed parameter data as the processing identifier of the three-phase motor current monitoring point, and obtaining the final identifier according to the initial identifier and the processing identifier;

[0009] Sorting and grouping the monitoring data to obtain grouped data;

[0010] When the motor is in the power-on state, obtain the motor power-on delay time;

[0011] Filtering the grouped data according to the delay time to obtain filtered data;

[0012] Calculating the maximum deviation value of the three-phase motor current of the same motor at the same time in the screening data;

[0013] Matching the maximum deviation value and the final identifier to obtain an output result corresponding to the final identifier;

[0014] Determine the three-phase state of the motor current monitoring point corresponding to the output result;

[0015] If the three-phase state of the corresponding motor current monitoring point is unbalanced, an early warning message is issued.

[0016] Optionally, the acquiring of the shape parameter data corresponding to the motor current monitoring point and preprocessing the shape parameter data to obtain the processed shape parameter data includes:

[0017] The character string of the input motor rated current parameter, the common field of the input three-phase motor current, and the character string of the common field of the output three-phase motor current in the parameter data are separated by commas, and stored as a new character string to obtain the processed parameter data;

[0018] The common field of the three-phase motor current is the announcement field of the input data, and the common field of the output three-phase motor current is the common field of the output result.

[0019] Optionally, the sorting and grouping of the monitoring data to obtain grouped data includes:

[0020] Classifying the monitoring data according to equipment type to obtain a number of equipment classification data;

[0021] Classify a number of equipment classification data according to equipment names to obtain equipment data;

[0022] The device data is sorted and grouped according to the collection time to obtain grouped data.

[0023] Optionally, the filtering the grouped data according to the delay time to obtain the filtered data includes:

[0024] Filter the data within the delay time from the grouped data to obtain first filtered data;

[0025] Get the rated current of the motor;

[0026] Eliminate the first screening data that differs from the rated current by a preset multiple to obtain second screening data, and use the second screening data as screening data.

[0027] Optionally, the preset multiple is 3 times.

[0028] Optionally, determining the three-phase state of the motor current monitoring point corresponding to the output result according to the preset deviation value includes:

[0029] Determine whether the maximum deviation value corresponding to the output result is greater than a preset deviation value;

[0030] If the maximum deviation value corresponding to the output result is greater than the preset deviation value, it is determined that the three-phase state of the motor current monitoring point corresponding to the output result is unbalanced.

[0031] Optionally, obtaining a preset deviation value includes:

[0032] Obtain standard deviation values ​​and historical operation data of different motor equipment;

[0033] According to the historical operation data, the fluctuation range of the motor equipment during normal operation is obtained;

[0034] The standard deviation value is corrected according to the fluctuation range to obtain a corrected deviation value, and the corrected deviation value is used as a preset deviation value.

[0035] A motor current three-phase unbalanced fault early warning system, comprising:

[0036] The first acquisition module is used to acquire all three-phase motor current monitoring points, traverse all three-phase motor current monitoring points, obtain monitoring data and corresponding initial identifiers, and the initial identifier includes a power plant code, equipment type, equipment name, and collection time;

[0037] A setting module, used for setting the parameter data corresponding to the three-phase motor current monitoring point, and preprocessing the parameter data to obtain the processed parameter data as the processing identifier of the three-phase motor current monitoring point, and obtaining the final identifier according to the initial identifier and the processing identifier;

[0038] A grouping module, used for sorting and grouping the monitoring data to obtain grouped data;

[0039] The second acquisition module is used to acquire the delay time when the motor is in the power-on state;

[0040] A screening module, used for screening the grouped data according to the delay time to obtain screened data;

[0041] Calculating the maximum deviation value of the three-phase motor current of the same motor at the same time in the screening data;

[0042] A calculation module, used for matching the maximum deviation value and the final identifier to obtain an output result corresponding to the final identifier;

[0043] A judgment module, used to determine the three-phase state of the motor current monitoring point corresponding to the output result;

[0044] The early warning module is used to issue an early warning message if the three-phase state of the corresponding motor current monitoring point is unbalanced.

[0045] A terminal device includes a memory and a processor. The memory stores a computer program that can be run on the processor. When the processor loads and executes the computer program, a motor current three-phase imbalance fault early warning method is adopted.

[0046] A computer-readable storage medium stores a computer program. When the computer program is loaded and executed by a processor, a motor current three-phase unbalance fault early warning method is adopted.

[0047] The beneficial effects of the present invention are:

[0048] 1. The collected motor current monitoring data is first sorted and grouped to obtain grouped data, and then the data within the delay time in the grouped data is eliminated according to the delay time of the motor startup to obtain the filtered data, and the set parameter parameters are preprocessed to obtain the processed parameter data, which is used as the processing identifier and merged with the initial identifier corresponding to the monitoring data to obtain the final identifier, and the maximum deviation value of the same motor at the same time is calculated, and the maximum deviation value and the final identifier are matched to obtain the output result, and the three-phase state of the motor current is determined according to the output result and the preset deviation value. If it is unbalanced, an alarm is issued. Compared with traditional periodic maintenance, the present application can use the real-time data when the motor is running to confirm whether the three-phase motor current is balanced, and issue an alarm when it is unbalanced.

[0049] 2. Obtain the fluctuation range through the historical operation data of the motor equipment, and then correct the preset deviation value according to the fluctuation range to obtain the corrected deviation value. Compared with the traditional method of setting a fixed threshold to determine whether the three phases are balanced, this application can adaptively adjust the preset deviation value according to historical data to improve the accuracy of judgment and avoid false alarms. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a flow chart of a method for early warning of three-phase unbalanced current fault of a motor;

[0051] Figure 2 Schematic diagram of the motor current imbalance fault symptom indicator system. DETAILED DESCRIPTION

[0052] A motor current three-phase unbalanced fault early warning method, such as Figure 1 As shown, including:

[0053] S1. Obtain all three-phase motor current monitoring points, traverse all three-phase motor current monitoring points, obtain monitoring data and corresponding initial identifiers, and the initial identifier includes power plant code, equipment type, equipment name, and collection time.

[0054] Specifically, there are usually many motor equipment in a power plant. Different motor equipment has different functions. The motor equipment includes multiple key motor equipment such as speed regulator oil pump motor, high and low pressure gas turbine, leakage drainage pump motor, maintenance drainage pump motor and plant water pump motor. It is necessary to monitor all motor equipment in the same power plant, and multiple power plants can be monitored at the same time. When collecting data, the source of each data is different. Therefore, in order to distinguish, each monitored data includes power plant code, equipment type, equipment name, collection time and corresponding three-phase motor current and other data.

[0055] S2. Set the parameter data corresponding to the three-phase motor current monitoring point, and pre-process the parameter data to obtain the processed parameter data as the processing identifier of the three-phase motor current monitoring point, and obtain the final identifier based on the initial identifier and the processing identifier.

[0056] Specifically, the final identifier includes both the input data of the three-phase current, that is, the character string corresponding to the monitoring data, and the character string of the maximum deviation value obtained after calculation.

[0057] Set the shape parameter data corresponding to the three-phase motor current monitoring point, and pre-process the shape parameter data to obtain the processed shape parameter data including:

[0058] S21. Split the input motor rated current parameter, the common field of the input three-phase motor current, and the common field character string of the output three-phase motor current in the parameter data by commas, store them as a new character string, and obtain the processed parameter data.

[0059] Specifically, the string of the common field of the input three-phase motor current is a string representing the three-phase current input to the three-phase motor, including phase A input current, phase B input current and phase C input current, and the string of the common field of the output three-phase motor current is a string representing the calculated maximum deviation value.

[0060] Specifically, common fields refer to fields that appear repeatedly in different data records or data sets. These fields are usually used to connect, index or represent common characteristics of data. For example, equipment type, equipment ID, and power plant code, etc.

[0061] The common field of the three-phase motor current is the ID of the three-phase motor current of the monitored real-time data. The common field of the output three-phase motor current is the ID of the calculated current maximum difference. The input motor rated current parameter is an external input parameter, which is usually set in the system configuration and usually does not change, and its value does not change.

[0062] S3. Sort and group the monitoring data to obtain grouped data.

[0063] Specifically, the monitoring data is first grouped according to the device type, and all the monitoring data is grouped. Then, the data is sorted and grouped according to time, and the data of one device is grouped into the same group.

[0064] The monitoring data is sorted and grouped, and the grouped data obtained includes:

[0065] S31. Classify the monitoring data according to the equipment type to obtain a number of equipment classification data.

[0066] S32. Classify a number of device classification data according to the device names to obtain device data.

[0067] S33. Sort and group the device data according to the collection time to obtain grouped data.

[0068] Specifically, when judging the three-phase balance of motor current, only the data of the same device at the same time can be calculated. Therefore, after classifying the monitoring data by device type, the data of all devices of the same type can be obtained, and then the data of the same device type can be classified again by device name to obtain device data, and finally the device data can be sorted by collection time to obtain the final grouped data.

[0069] S4. When the motor is in the power-on state, the power-on delay time of the motor is obtained.

[0070] Specifically, the state of the motor can be determined by reading the start and stop state measurement point of the device. If the device is in the stop state, the calculation is ended without calculation. The calculation is performed only when the motor is in the running state.

[0071] The motor startup delay time is the time from when the motor starts to when it runs stably. Since the data during this period fluctuates greatly and has no reference value, this part of the data needs to be eliminated.

[0072] S5. Filter the grouped data according to the delay time to obtain filtered data.

[0073] The grouped data is filtered according to the delay time, and the filtered data includes:

[0074] S51. Filter data within a delay time from the packet data to obtain first filtered data.

[0075] Specifically, since the current fluctuates greatly when the motor is started, a delay time is set to filter out the data within the motor starting time to obtain the first filtered data.

[0076] S52. Obtain the rated current of the motor.

[0077] Specifically, the rated current of the motor is the current data of the motor in steady-state operation under normal circumstances. The rated current of the motor can be obtained from the nameplate of the motor.

[0078] S53, eliminating the first screening data that differs from the rated current by a preset multiple to obtain second screening data, and using the second screening data as screening data.

[0079] Specifically, during data collection, due to line interference and loose sensors, there may be abnormalities during data collection. Therefore, data that differs from the rated current by a preset multiple is eliminated. In this embodiment, the preset multiple is set to 3 times. Then, by comparing the grouped data and the screened data, the time of the eliminated data is obtained, and the eliminated data is supplemented with the data at the previous moment of the eliminated data. For example, the three data collected are A, B, and C in chronological order. Then, the data at time B is abnormal and is eliminated, and the pre-padded method is used, and the supplemented data is A, A, and C.

[0080] S6. Calculate the maximum deviation value of the three-phase motor current of the same motor at the same time in the filtered data.

[0081] Specifically, the deviation value of the three-phase motor current refers to the deviation value of the three-phase motor current relative to the rated current, and the maximum deviation value of the three-phase motor current is the largest deviation among the three-phase currents.

[0082] S7. Match the maximum deviation value and the identifier to obtain an output result corresponding to the identifier.

[0083] Specifically, after calculating the maximum deviation value of the three-phase current and matching it with the identifier, it can be clearly known which device in which factory has the input current of the three-phase motor A, B and C, and the maximum deviation value of the three-phase motor current is D.

[0084] S8. Determine the three-phase state of the motor current monitoring point corresponding to the output result according to the preset deviation value.

[0085] Determining the three-phase state of the motor current monitoring point corresponding to the output result includes:

[0086] S81. Determine whether the maximum deviation value corresponding to the output result is greater than a preset deviation value.

[0087] Specifically, the preset deviation value is the maximum deviation value of the maximum three-phase motor current in operation. Initially, the preset deviation value is set manually or determined based on historical data. However, since the manual setting is not very accurate, it will be constantly corrected to avoid false alarms.

[0088] S811. Obtain standard deviation values ​​and historical operation data of different motor devices.

[0089] Specifically, the standard deviation value is the normal current fluctuation when the motor equipment is operating normally, and the standard deviation value is the three-phase current deviation value corresponding to the maximum allowable normal current fluctuation. The historical operation data is the historical data collected when the motor equipment is operating normally.

[0090] S812. Obtain the fluctuation range of the motor equipment during normal operation based on historical operation data.

[0091] Specifically, since the standard deviation value is usually set manually, there are inaccuracies. Through historical operation data, the range of current deviation values ​​when the motor equipment is running can be obtained. The fluctuation range is the fluctuation range of the three-phase current of the motor. According to the fluctuation range, the maximum value of the motor current can be obtained, and thus the maximum deviation value of the motor current, that is, the correction deviation value, can be obtained.

[0092] S813. Correct the standard deviation value according to the fluctuation range to obtain a corrected deviation value, and use the corrected deviation value as a preset deviation value.

[0093] Specifically, if the maximum deviation value of the three-phase motor current calculated based on the motor fluctuation range obtained according to historical data is larger than the preset standard deviation value, it means that the set standard deviation value is unreasonable. Therefore, the standard deviation value needs to be corrected, that is, the corrected deviation value is used instead of the standard deviation value to avoid false alarms.

[0094] like Figure 2 As shown, combined with the action mechanism of the motor in the auxiliary equipment of the hydro-turbine generator set, the analysis of the motor current performance law and the extracted current imbalance characteristic indicators, a scientific, reasonable and complete motor current imbalance fault symptom indicator system is constructed, including fault symptom names, fault symptom indicator names, corresponding defects, fault symptom warning mechanisms, warning configurations, etc., so as to realize fault symptom warnings such as decreased motor efficiency, increased temperature and increased vibration. Figure 2 The current performance rule in is the current fluctuation range of the three-phase motor during normal operation obtained through historical data, and the maximum deviation value can be obtained based on this range.

[0095] After the calculated motor current characteristic index (maximum deviation value of three-phase motor current) and the corresponding fault warning configuration are completed, they are integrated into a complete fault warning system. After reading the corresponding motor current characteristic index, the warning output is judged according to the preset deviation value of the warning configuration. If the motor current characteristic index exceeds the preset deviation value, the fault warning level is output according to the exceeded level, and finally the characteristic index value is stored in the timing library. If the motor current characteristic index does not exceed the threshold, the characteristic index is stored in the timing library. According to the historical values ​​of the characteristic indicators stored in the timing library for a long time, the corresponding motor current output characteristics are analyzed, and the preset deviation value is adjusted by adaptive feedback to realize adaptive threshold warning, and continuously optimize and improve the warning accuracy.

[0096] S82. If the maximum deviation value corresponding to the output result is greater than the preset deviation value, it is determined that the three-phase state of the motor current monitoring point corresponding to the output result is unbalanced.

[0097] S9. If the three-phase state of the corresponding motor current monitoring point is unbalanced, an early warning message is issued.

[0098] An embodiment of the present application also discloses a terminal device, including a memory and a processor. The memory stores a computer program that can be run on the processor. When the processor loads and executes the computer program, a motor current three-phase imbalance fault warning method is adopted.

[0099] The terminal device may be a computer device such as a desktop computer, a laptop computer or a cloud server, and the terminal device includes but is not limited to a processor and a memory. For example, the terminal device may also include input and output devices, a network access device and a bus.

[0100] Among them, the processor can adopt a central processing unit (CPU). Of course, according to actual usage, other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc., and this application does not impose any restrictions on this.

[0101] Among them, the memory can be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device, or it can be an external storage device of the terminal device, such as a plug-in hard disk, a smart memory card (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the terminal device, etc., and the memory can also be a combination of an internal storage unit and an external storage device of the terminal device. The memory is used to store computer programs and other programs and data required by the terminal device. The memory can also be used to temporarily store data that has been output or is to be output, and this application does not impose any restrictions on this.

[0102] Among them, through this terminal device, a motor current three-phase imbalance fault warning method in the above embodiment is stored in the memory of the terminal device, and is loaded and executed on the processor of the terminal device for easy use.

[0103] An embodiment of the present application further discloses a computer-readable storage medium, and the computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, a motor current three-phase imbalance fault warning method in the above embodiment is adopted.

[0104] Among them, the computer program can be stored in a computer-readable medium, the computer program includes computer program code, the computer program code can be in the form of source code, object code, executable file or certain middleware, etc. The computer-readable medium includes any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the computer-readable medium includes but is not limited to the above-mentioned components.

[0105] Among them, through this computer-readable storage medium, a motor current three-phase imbalance fault warning method in the above embodiment is stored in a computer-readable storage medium, and is loaded and executed on a processor to facilitate the storage and application of the above method.

[0106] Those skilled in the art should understand that the discussion of any of the above embodiments is only exemplary and is not intended to imply that the scope of protection of the present application is limited to these examples. Under the concept of the present application, the technical features in the above embodiments or different embodiments may also be combined, the steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present application as above, which are not provided in detail for the sake of simplicity.

[0107] One or more embodiments of the present application are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the present application. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present application should be included in the protection scope of the present application.

Claims

1. A motor current three-phase unbalanced fault early warning method, characterized in that: include: Obtain all three-phase motor current monitoring points, traverse all three-phase motor current monitoring points, obtain monitoring data and corresponding initial identifiers, wherein the initial identifier includes a power plant code, equipment type, equipment name, and collection time; Setting the parameter data corresponding to the three-phase motor current monitoring point, and preprocessing the parameter data to obtain the processed parameter data as the processing identifier of the three-phase motor current monitoring point, and obtaining the final identifier according to the initial identifier and the processing identifier; Sorting and grouping the monitoring data to obtain grouped data; When the motor is in the power-on state, obtain the motor power-on delay time; Filtering the grouped data according to the delay time to obtain filtered data; Calculating the maximum deviation value of the three-phase motor current of the same motor at the same time in the screening data; Matching the maximum deviation value and the final identifier to obtain an output result corresponding to the final identifier; Determine the three-phase state of the motor current monitoring point corresponding to the output result according to the preset deviation value; If the three-phase state of the corresponding motor current monitoring point is unbalanced, an early warning message is issued.

2. The motor current three-phase unbalance fault early warning method as claimed in claim 1 is characterized in that: The setting of the parameter data corresponding to the three-phase motor current monitoring point and preprocessing the parameter data to obtain the processed parameter data include: The character string of the input motor rated current parameter, the common field of the input three-phase motor current and the character string of the common field of the output three-phase motor current in the parameter data are separated by commas and stored as new character strings to obtain processed parameter data.

3. The motor current three-phase unbalance fault early warning method as claimed in claim 1 is characterized in that: The sorting and grouping of the monitoring data to obtain grouped data includes: Classifying the monitoring data according to equipment type to obtain a number of equipment classification data; Classify a number of equipment classification data according to equipment names to obtain equipment data; The device data is sorted and grouped according to the collection time to obtain grouped data.

4. The motor current three-phase unbalance fault early warning method as claimed in claim 1 is characterized in that: The filtering of the grouped data according to the delay time to obtain the filtered data includes: Filter the data within the delay time from the grouped data to obtain first filtered data; Get the rated current of the motor; Eliminate the first screening data that differs from the rated current by a preset multiple to obtain second screening data, and use the second screening data as screening data.

5. The motor current three-phase unbalance fault early warning method as claimed in claim 4 is characterized in that: The preset multiple is 3 times.

6. The motor current three-phase unbalance fault early warning method as claimed in claim 1 is characterized in that: Determining the three-phase state of the motor current monitoring point corresponding to the output result according to the preset deviation value includes: Determine whether the maximum deviation value corresponding to the output result is greater than a preset deviation value; If the maximum deviation value corresponding to the output result is greater than the preset deviation value, it is determined that the three-phase state of the motor current monitoring point corresponding to the output result is unbalanced.

7. The motor current three-phase unbalance fault early warning method as claimed in claim 6 is characterized in that: Obtaining the preset deviation value includes: Obtain standard deviation values ​​and historical operation data of different motor equipment; According to the historical operation data, the fluctuation range of the motor equipment during normal operation is obtained; The standard deviation value is corrected according to the fluctuation range to obtain a corrected deviation value, and the corrected deviation value is used as a preset deviation value.

8. A motor current three-phase unbalance fault early warning system, characterized in that: include: The first acquisition module is used to acquire all three-phase motor current monitoring points, traverse all three-phase motor current monitoring points, obtain monitoring data and corresponding initial identifiers, and the initial identifier includes a power plant code, equipment type, equipment name, and collection time; A setting module, used for setting the parameter data corresponding to the three-phase motor current monitoring point, and preprocessing the parameter data to obtain the processed parameter data as the processing identifier of the three-phase motor current monitoring point, and obtaining the final identifier according to the initial identifier and the processing identifier; A grouping module, used for sorting and grouping the monitoring data to obtain grouped data; The second acquisition module is used to acquire the delay time when the motor is in the power-on state; A screening module, used for screening the grouped data according to the delay time to obtain screened data; Calculating the maximum deviation value of the three-phase motor current of the same motor at the same time in the screening data; A calculation module, used for matching the maximum deviation value and the final identifier to obtain an output result corresponding to the final identifier; A judgment module, used to determine the three-phase state of the motor current monitoring point corresponding to the output result; The early warning module is used to issue an early warning message if the three-phase state of the corresponding motor current monitoring point is unbalanced.

9. A terminal device, comprising a memory and a processor, characterized in that: The memory stores a computer program that can be run on the processor, and when the processor loads and executes the computer program, the early warning method according to any one of claims 1 to 7 is adopted.

10. A computer-readable storage medium having a computer program stored therein, characterized in that: When the computer program is loaded and executed by the processor, the early warning method according to any one of claims 1 to 7 is adopted.

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