Motor abnormal state early warning system and method

Abstract

The present invention relates to the technical field of motor abnormal state warning technology, and discloses a motor abnormal state warning system and method, comprising a motor data acquisition module, a motor data analysis module, and a motor abnormal state warning module. The motor data acquisition module comprises a motor temperature acquisition unit, a motor noise data acquisition unit, a motor current data acquisition unit, and a motor insulation data acquisition unit. The motor data analysis module comprises a motor temperature analysis unit and a motor insulation data analysis unit. The system collects motor temperature, motor noise data, motor load data, motor current data, and motor insulation data during motor operation, and analyzes the motor temperature, motor noise data, motor current data, and motor insulation data to obtain specific conditions of motor temperature anomalies, noise anomalies, insulation layer aging anomalies, or current anomalies. This system achieves a preliminary assessment of motor anomalies and saves maintenance personnel time during repairs.

Description

Technical Field

[0001] The present invention relates to the technical field of motor abnormal state early warning, and in particular to a motor abnormal state early warning system and method. Background Art

[0002] As core equipment for the production, transmission, use, and conversion of electrical energy characteristics, motors play an increasingly important role in many industries and sectors of modern society. Taking thermal power plants as an example, various auxiliary equipment, such as coal mills, three large fans, and various pumps, all require motors to drive them. Therefore, motors are indispensable equipment for ensuring the stable operation of power plants. Failure of motors in important auxiliary equipment is likely to cause the entire generator set to operate at reduced load or to shut down in an emergency, which seriously affects the economic efficiency of the power plant and the social impact of the enterprise.

[0003] However, current motor abnormality warnings are mostly based on expert evaluation data, and people who are not very familiar with this field cannot immediately determine the specific cause of the motor abnormality. Motor failure problems that occur during night shifts can only be determined by on-site inspections by maintenance personnel, resulting in a large loss of time in the diagnosis process. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In view of the deficiencies in the prior art, the present invention provides a motor abnormality warning system and method, which has the advantages of providing timely feedback on preliminary motor abnormalities and solves the above-mentioned technical problems.

[0006] (2) Technical solution

[0007] To achieve the above-mentioned object, the present invention provides the following technical solutions: a motor abnormal state warning system, comprising a motor data acquisition module, a motor data analysis module and a motor abnormal state warning module;

[0008] The motor data acquisition module includes a motor temperature acquisition unit, a motor noise data acquisition unit, a motor current data acquisition unit and a motor insulation data acquisition unit. The motor temperature acquisition unit is used to collect the temperature of the motor when it is working to obtain the motor temperature. The motor noise data acquisition unit is used to collect motor noise data to obtain motor noise data. The motor current data acquisition unit is used to collect current data of the motor when it is working to obtain motor current data. The motor insulation data acquisition unit is used to collect data on the insulation layer of the motor to obtain motor insulation data. The motor data acquisition module sends the collected motor temperature, motor noise data, motor current data and motor insulation data to the motor data analysis module. The motor data acquisition module also includes a motor load data acquisition unit for collecting motor load data and sending the motor load data to the motor state abnormality early warning module. The motor load data records the working load of the motor, classifies data below the rated load as low load, and classifies data above the rated load as high load;

[0009] The motor data analysis module includes a motor temperature analysis unit, a motor current analysis unit, a motor noise data analysis unit and a motor insulation data analysis unit. The motor temperature analysis unit analyzes the operation of the motor based on the motor temperature to obtain a motor temperature analysis result. The motor current analysis unit analyzes the current condition of the motor based on the motor current data to obtain a motor current data analysis result. The motor noise data analysis unit analyzes the motor based on the motor noise data to obtain a motor noise analysis result. The motor insulation data analysis unit analyzes the insulation condition of the motor based on the motor insulation data to obtain a motor insulation data analysis result. The motor data analysis module sends the motor temperature analysis result, the motor current data analysis result, the motor noise analysis result and the motor insulation data analysis result to the motor abnormal state early warning module respectively;

[0010] The motor abnormal state warning module combines the motor load data and the motor temperature analysis results, the motor current data analysis results, and the motor noise analysis results to perform abnormal state warning. The motor abnormal state warning module also performs abnormal state warning based on the motor insulation data analysis results.

[0011] As a preferred technical solution of the present invention, the expression of the motor temperature collected by the motor temperature collection unit is as follows:

[0012]

[0013] in, represents the motor temperature set, Indicates the motor temperature collected at time 1, Indicates time The collected motor temperature, Indicates time The collected motor temperature;

[0014] The expression of the motor noise data collected by the motor noise data collection unit is as follows:

[0015]

[0016] in, represents the motor noise dataset, Represents the motor noise data collected at time 1, Indicates time The collected motor noise data, Indicates time Collected motor noise data;

[0017] The expression of the motor current data collected by the motor current data collection unit is as follows:

[0018]

[0019] in, represents the motor current dataset, Represents the motor current data collected at time 1, Indicates time The collected motor current data, Indicates time Collected motor current data;

[0020] The expression of the motor load data collected by the motor load data collection unit is as follows:

[0021]

[0022] in, represents the motor load dataset, Indicates the motor load data collected at time 1, Indicates time Collected motor load data, Indicates time Collected motor load data, .

[0023] As a preferred technical solution of the present invention, the motor insulation data acquisition unit collects motor insulation data using the following expression:

[0024]

[0025] in, Represents the resistance value set at the motor insulation, Indicates the resistance value of the motor insulation collected at time 1, Indicates time The resistance value of the motor insulation is collected. Indicates time The resistance value of the motor insulation is collected. Indicates time The resistance value of the motor insulation is collected and the time is determined Motor insulation resistance Is it lower than the standard resistance value? If so, record the time from the moment The image data of the motor insulation after that, and the time Image data and time of the motor insulation afterward The resistance value of the motor insulation is used as the motor insulation data. .

[0026] As a preferred technical solution of the present invention, the motor temperature analysis unit analyzes the operation of the motor based on the motor temperature, and obtains the expression of the motor temperature analysis result as follows:

[0027]

[0028] in, Indicates the motor temperature analysis results, Indicates time The motor temperature, Indicates time The motor temperature, Indicates the motor operating temperature threshold, Express a guarantee Parameters.

[0029] As a preferred technical solution of the present invention, the motor current analysis unit analyzes the current condition of the motor based on the motor current data, and obtains the expression of the motor current data analysis result as follows:

[0030]

[0031] in, Indicates the results of motor current data analysis, Indicates the maximum value of the motor current, Indicates the rated value of the motor current, Indicates time The motor current data.

[0032] As a preferred technical solution of the present invention, the motor noise data analysis unit analyzes the motor based on the motor noise data, and obtains the motor noise analysis result as follows:

[0033]

[0034] in, Indicates the results of motor noise data analysis, Indicates time Motor noise data, Indicates time Motor noise data, Represents the maximum function.

[0035] As a preferred technical solution of the present invention, the motor insulation data analysis unit analyzes the motor insulation condition based on the motor insulation data, and the process of obtaining the motor insulation data analysis result is as follows: The image data of the motor insulation portion is subsequently filtered for the time corresponding to the image at which the brightness increase occurs.

[0036] As a preferred technical solution of the present invention, the steps of the motor abnormal state warning module combining the motor load data and the motor temperature analysis results, the motor current data analysis results, and the motor noise analysis results to perform abnormal state warning are as follows:

[0037] A1. When the motor temperature analysis results When the output motor temperature is normal, When, if , then the temperature is judged to be abnormal and a temperature warning is issued. If When , the output motor temperature is normal;

[0038] A2. When When the output motor current data is normal, When the motor is powered off, When the motor current analysis result is output, the time when the motor current analysis result is compared with the time when the high load appears in the motor load data is compared. If they are consistent, the output motor is working at a high load. If they are inconsistent, the output motor current is abnormal.

[0039] A3. Motor noise data analysis results during operation When the value is greater than the set value, the motor abnormal operation data will be sent; if it is lower than the set value, no warning will be issued.

[0040] As a preferred technical solution of the present invention, the motor abnormal state warning module also performs abnormal state warning based on the motor insulation data analysis results. The process is: compare the moment corresponding to the image with increased brightness in the motor insulation data analysis results with the moment when high load appears in the motor load data. If the two are the same, an insulation layer damage warning is sent; if they are not the same or the moment corresponding to the image with increased brightness is not filtered out, an insulation layer aging warning is output.

[0041] The present invention further provides a motor abnormal state early warning method, which is applied to the above-mentioned motor abnormal state early warning system, and includes the following steps:

[0042] S1, collecting motor temperature, motor noise data, motor load data, motor current data and motor insulation data during motor operation;

[0043] S2. Analyze motor temperature, motor noise data, motor current data, and motor insulation data;

[0044] S3. Outputting the abnormal state of the motor based on the analysis result of step S2 and the motor load data in step S1.

[0045] Compared with the prior art, the present invention provides a motor abnormal state early warning system and method, which has the following beneficial effects:

[0046] The present invention collects the motor temperature, motor noise data, motor load data, motor current data and motor insulation data during the motor operation process, and analyzes the motor temperature, motor noise data, motor current data and motor insulation data, thereby obtaining the specific circumstances of the motor temperature abnormality, noise abnormality, insulation layer aging abnormality or current abnormality, achieving a preliminary judgment on the motor abnormality and saving the time loss of maintenance personnel during maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 Schematic diagram of the system framework of the present invention;

[0048] Figure 2 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0050] See also Figure 1 , a motor abnormal state warning system, including a motor data acquisition module, a motor data analysis module and a motor abnormal state warning module;

[0051] The motor data acquisition module includes a motor temperature acquisition unit, a motor noise data acquisition unit, a motor current data acquisition unit and a motor insulation data acquisition unit. The motor temperature acquisition unit is used to collect the temperature of the motor when it is working and obtain the motor temperature. The motor noise data acquisition unit is used to collect motor noise data and obtain motor noise data. The motor current data acquisition unit is used to collect the current data of the motor when it is working, and obtain the motor current data The motor insulation data acquisition unit is used to collect data on the insulation layer of the motor to obtain the motor insulation data. , judge the moment Motor insulation resistance Is it lower than the standard resistance value? If so, record the time from the moment The image data of the motor insulation after that, and the time Image data and time of the motor insulation afterward The resistance value of the motor insulation is used as the motor insulation data. The motor data acquisition module sends the collected motor temperature, motor noise data, motor current data and motor insulation data to the motor data analysis module. The motor data acquisition module also includes a motor load data acquisition unit for collecting motor load data and sending the motor load data to the motor state abnormality warning module. The motor load data records the working load of the motor. , classify data below the rated load as low load, and data above the rated load as high load;

[0052] in, represents the motor temperature set, Indicates the motor temperature collected at time 1, Indicates time The collected motor temperature, Indicates time The collected motor temperature, represents the motor noise dataset, Represents the motor noise data collected at time 1, Indicates time The collected motor noise data, Indicates time The collected motor noise data, represents the motor current dataset, Represents the motor current data collected at time 1, Indicates time The collected motor current data, Indicates time The collected motor current data, represents the motor load dataset, Indicates the motor load data collected at time 1, Indicates time Collected motor load data, Indicates time Collected motor load data, Represents the resistance value set at the motor insulation, Indicates the resistance value of the motor insulation collected at time 1, Indicates time The resistance value of the motor insulation is collected. Indicates time The resistance value of the motor insulation is collected. Indicates time The resistance value of the motor insulation is collected. , subscript They reflect different sampling moments respectively.

[0053] The motor data analysis module includes a motor temperature analysis unit, a motor current analysis unit, a motor noise data analysis unit and a motor insulation data analysis unit. The motor temperature analysis unit analyzes the motor operation based on the motor temperature to obtain a motor temperature analysis result. The motor current analysis unit analyzes the motor current based on the motor current data to obtain a motor current data analysis result. The motor noise data analysis unit analyzes the motor based on the motor noise data to obtain a motor noise analysis result. The motor insulation data analysis unit analyzes the motor insulation based on the motor insulation data to obtain a motor insulation data analysis result. The motor data analysis module sends the motor temperature analysis result, the motor current data analysis result, the motor noise analysis result and the motor insulation data analysis result to the motor abnormal state warning module respectively. The motor temperature analysis unit analyzes the motor operation based on the motor temperature and obtains the expression of the motor temperature analysis result as follows:

[0054]

[0055] in, Indicates the motor temperature analysis results, Indicates time The motor temperature, Indicates time The motor temperature, Indicates the motor operating temperature threshold, Express a guarantee The parameters in this application The value of is always behind The difference is a carry, such as The difference is 0.38, then The value of can be 0.001, thereby avoiding the influence of the positive and negative conditions of the difference in the expression. The motor current analysis unit analyzes the motor current based on the motor current data, and the expression of the motor current data analysis result is as follows:

[0056]

[0057] in, Indicates the results of motor current data analysis, Indicates the maximum value of the motor current, Indicates the rated value of the motor current, Indicates time Motor current data, if the current is 2A, A, ,at this time The motor noise data analysis unit analyzes the motor based on the motor noise data, and obtains the motor noise analysis result expression as follows:

[0058]

[0059] in, Indicates the results of motor noise data analysis, Indicates time Motor noise data, Indicates time Motor noise data, Represents the maximum value function. By analyzing the degree of noise mutation, it is possible to estimate whether the bearing inside the motor is damaged and the time of the maximum runout value can be obtained. When the maintenance personnel perform maintenance, they can obtain the information in time, thus saving maintenance time. The motor insulation data analysis unit analyzes the motor insulation condition based on the motor insulation data. The process of obtaining the motor insulation data analysis result is as follows: the time The image data of the motor insulation part is then filtered at the time corresponding to the image with increased brightness;

[0060] The motor abnormal state warning module combines motor load data with motor temperature analysis results, motor current data analysis results, and motor noise analysis results to issue abnormal state warnings. The motor abnormal state warning module also issues abnormal state warnings based on motor insulation data analysis results:

[0061] The motor abnormal state warning module combines motor load data and motor temperature analysis results, motor current data analysis results, and motor noise analysis results to perform abnormal state warnings in the following steps:

[0062] Step 1: When the motor temperature analysis results When the output motor temperature is normal, When, if , then the temperature is judged to be abnormal and a temperature warning is issued. If When , the output motor temperature is normal;

[0063] Step 2: When When the output motor current data is normal, When the motor is powered off, When the motor current analysis result is output, the time when the motor current analysis result is compared with the time when the high load appears in the motor load data is compared. If they are consistent, the output motor is working at a high load. If they are inconsistent, the output motor current is abnormal.

[0064] Step 3 Motor noise data analysis results during operation When the value is greater than the set value, the motor abnormal operation data will be sent; if it is lower than the set value, no warning will be issued.

[0065] The motor abnormal state warning module also performs abnormal state warning based on the motor insulation data analysis results. The process is as follows: the time corresponding to the image with increased brightness in the motor insulation data analysis results is compared with the time when high load appears in the motor load data. If the two are the same, an insulation layer damage warning is sent. If they are different or the time corresponding to the image with increased brightness is not filtered out, an insulation layer aging warning is output.

[0066] Example 1:

[0067] The early warning process for motor insulation data is as follows:

[0068] The expression for detecting the resistance value of the motor insulation layer at the time of detection is as follows: , the resistance value is The corresponding moment is taken as moment j, and the resistance value detected is stored as Later, images with increased brightness appear in the image data of the motor insulation. The brightness increase can be calculated based on the specific values ​​of the image in the RGB color space. If the moment of the brightness increase coincides with the moment of high load in the motor load data, it indicates that the insulation layer is damaged and sparks are jumping when subjected to a high current. If they are inconsistent, it indicates that the insulation layer is less damaged or more aged.

[0069] like Figure 2 As shown, the present invention also provides a motor abnormal state warning method, which is applied to the above-mentioned motor abnormal state warning system, comprising the following steps:

[0070] S1, collecting motor temperature, motor noise data, motor load data, motor current data and motor insulation data during motor operation;

[0071] S2. Analyze motor temperature, motor noise data, motor current data, and motor insulation data;

[0072] S3. Outputting the abnormal state of the motor based on the analysis result of step S2 and the motor load data in step S1.

[0073] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A motor abnormal state early warning system, characterized by: It includes motor data acquisition module, motor data analysis module and motor abnormal state warning module; The motor data acquisition module includes a motor temperature acquisition unit, a motor noise data acquisition unit, a motor current data acquisition unit and a motor insulation data acquisition unit. The motor temperature acquisition unit is used to collect the temperature of the motor when it is working to obtain the motor temperature. The motor noise data acquisition unit is used to collect motor noise data to obtain motor noise data. The motor current data acquisition unit is used to collect current data of the motor when it is working to obtain motor current data. The motor insulation data acquisition unit is used to collect data on the insulation layer of the motor to obtain motor insulation data. The motor data acquisition module sends the collected motor temperature, motor noise data, motor current data and motor insulation data to the motor data analysis module. The motor data acquisition module also includes a motor load data acquisition unit for collecting motor load data and sending the motor load data to the motor state abnormality early warning module. The motor load data records the working load of the motor, classifies data below the rated load as low load, and classifies data above the rated load as high load; The motor data analysis module includes a motor temperature analysis unit, a motor current analysis unit, a motor noise data analysis unit and a motor insulation data analysis unit. The motor temperature analysis unit analyzes the operation of the motor based on the motor temperature to obtain a motor temperature analysis result. The motor current analysis unit analyzes the current condition of the motor based on the motor current data to obtain a motor current data analysis result. The motor noise data analysis unit analyzes the motor based on the motor noise data to obtain a motor noise analysis result. The motor insulation data analysis unit analyzes the insulation condition of the motor based on the motor insulation data to obtain a motor insulation data analysis result. The motor data analysis module sends the motor temperature analysis result, the motor current data analysis result, the motor noise analysis result and the motor insulation data analysis result to the motor abnormal state early warning module respectively; The motor abnormal state warning module combines the motor load data and the motor temperature analysis results, the motor current data analysis results, and the motor noise analysis results to perform abnormal state warning. The motor abnormal state warning module also performs abnormal state warning based on the motor insulation data analysis results; The steps of the motor abnormal state warning module combining the motor load data and the motor temperature analysis results, the motor current data analysis results, and the motor noise analysis results to perform abnormal state warning are as follows: A1. When the motor temperature analysis results When the output motor temperature is normal, When, if , then the temperature is judged to be abnormal and a temperature warning is issued. If When , the output motor temperature is normal; A2. When the motor current data analysis results When the output motor current data is normal, When the motor is powered off, When the motor current analysis result is output, the time when the motor current analysis result is output is compared with the time when the high load appears in the motor load data. If they are consistent, the output motor is working at high load. If they are inconsistent, the output motor current is abnormal. A3. Motor noise data analysis results during operation When the value is greater than the set value, the motor abnormality data will be sent, and if it is lower than the set value, no warning will be issued; The motor abnormal state warning module also performs abnormal state warning based on the motor insulation data analysis result, and the process is as follows: comparing the time corresponding to the image with increased brightness in the motor insulation data analysis result with the time when high load appears in the motor load data; if the two are the same, an insulation layer damage warning is issued; if they are different or the time corresponding to the image with increased brightness is not filtered out, an insulation layer aging warning is output; The motor insulation data analysis unit analyzes the motor insulation condition based on the motor insulation data to obtain the motor insulation data analysis result in the following process: The image data of the motor insulation portion is subsequently filtered for the time corresponding to the image at which the brightness increase occurs.

2. The motor abnormal state warning system according to claim 1, characterized in that: The motor temperature collected by the motor temperature collection unit is expressed as follows: in, represents the motor temperature set, Indicates the motor temperature collected at time 1, Indicates time The collected motor temperature, Indicates time The collected motor temperature; The motor noise data collected by the motor noise data collection unit is expressed as follows: in, represents the motor noise dataset, Represents the motor noise data collected at time 1, Indicates time The collected motor noise data, Indicates time Collected motor noise data; The expression of the motor current data collected by the motor current data collection unit is as follows: in, represents the motor current dataset, Represents the motor current data collected at time 1, Indicates time The collected motor current data, Indicates time Collected motor current data; The expression of the motor load data collected by the motor load data collection unit is as follows: in, represents the motor load dataset, Indicates the motor load data collected at time 1, Indicates time Collected motor load data, Indicates time Collected motor load data, .

3. The motor abnormal state warning system according to claim 1, characterized in that: The expression for collecting motor insulation data by the motor insulation data collection unit is as follows: in, Represents the resistance value set at the motor insulation, Indicates the resistance value of the motor insulation collected at time 1, Indicates time The resistance value of the motor insulation is collected. Indicates time The resistance value of the motor insulation is collected. Indicates time The resistance value of the motor insulation is collected and the time is determined Motor insulation resistance Is it lower than the standard resistance value? If so, record the time from the moment The image data of the motor insulation after that, and the time Image data and time of the motor insulation afterward The resistance value of the motor insulation is used as the motor insulation data. .

4. The motor abnormal state warning system according to claim 2, characterized in that: The motor temperature analysis unit analyzes the motor operation condition based on the motor temperature, and obtains the motor temperature analysis result as follows: in, Indicates the motor temperature analysis results, Indicates time The motor temperature, Indicates time The motor temperature, Indicates the motor operating temperature threshold, Express a guarantee Parameters.

5. The motor abnormal state warning system according to claim 2, characterized in that: The motor current analysis unit analyzes the motor current condition based on the motor current data, and obtains the expression of the motor current data analysis result as follows: in, Indicates the results of motor current data analysis, Indicates the maximum value of the motor current, Indicates the rated value of the motor current, Indicates time The motor current data.

6. The motor abnormal state warning system according to claim 2, characterized in that: The motor noise data analysis unit analyzes the motor based on the motor noise data, and obtains the motor noise analysis result as follows: in, Indicates the results of motor noise data analysis, Indicates time Motor noise data, Indicates time Motor noise data, Represents the maximum function.

7. A motor abnormal state warning method, applied to a motor abnormal state warning system according to any one of claims 1 to 6, characterized in that: The following steps are involved: S1, collecting motor temperature, motor noise data, motor load data, motor current data and motor insulation data during motor operation; S2. Analyze motor temperature, motor noise data, motor current data, and motor insulation data; S3. Outputting the abnormal state of the motor based on the analysis result of step S2 and the motor load data in step S1.

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