Motor abnormal state early warning system and method

Abstract

The invention relates to the technical field of motor abnormal state early warning, and discloses a motor abnormal state early warning system and method, and the system comprises a motor data collection module, a motor data analysis module, and a motor abnormal state early 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, and the motor data analysis module comprises a motor temperature analysis unit and a motor insulation data analysis unit. According to the system, the motor temperature, the motor noise data, the motor load data, the motor current data and the motor insulation data in the working process of the motor are collected, and the motor temperature, the motor noise data, the motor current data and the motor insulation data are analyzed; therefore, the specific conditions of abnormal motor temperature, abnormal noise, abnormal insulation layer aging or abnormal current can be obtained, the preliminary judgment of the abnormity of the motor can be realized, and the time loss of maintenance personnel during maintenance can be saved.

Description

Technical Field

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

[0002] As the core equipment for electric energy production, transmission, use and electric energy characteristic transformation, motors are playing an increasingly important role in multiple industries and departments in modern society. Taking a thermal power plant as an example, various auxiliary equipment, such as coal mills, three major fans and various pumps, all need motors to drive. Therefore, motors are indispensable equipment to ensure the stable operation of the power plant. The motor failure of important auxiliary equipment is very likely to cause the entire generator set to operate at a reduced load or shut down emergently, which seriously affects the economy of the power plant and the social effect of the enterprise; However, the current motor abnormal state warning mostly relies on expert evaluation data, and people who are not highly familiar with this field cannot judge the specific cause of the motor abnormality in a timely manner. For motor failure problems occurring during night shifts, only maintenance personnel can be waited for to conduct on-site inspections to determine, resulting in a large time loss in the diagnosis process. Summary of the Invention

[0003] (1) Technical Problems to be Solved Aiming at the deficiencies of the prior art, the present invention provides a motor abnormal state warning system and method, which have the advantages of timely feedback on the preliminary abnormality of the motor and solve the above technical problems.

[0004] (2) Technical Solutions To achieve the above object, the present invention provides the following technical solution: A motor abnormal state warning system includes a motor data acquisition module, a motor data analysis module and a 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 acquire the temperature of the motor during operation to obtain the motor temperature. The motor noise data acquisition unit is used to acquire the motor noise data to obtain the motor noise data. The motor current data acquisition unit is used to acquire the current data of the motor during operation to obtain the motor current data. The motor insulation data acquisition unit is used to acquire the data of the insulation layer of the motor to obtain the motor insulation data. The motor data acquisition module sends the acquired 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 acquiring the motor load data and sending the motor load data to the motor status abnormal warning module. The motor load data records the working load of the motor. The data lower than the rated load is classified as low load, and the data higher than the rated load is classified 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 condition of the motor based on the motor temperature to obtain the motor temperature analysis result. The motor current analysis unit analyzes the current condition of the motor based on the motor current data to obtain the motor current data analysis result. The motor noise data analysis unit analyzes the motor based on the motor noise data to obtain the 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 the 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 status warning module respectively; The motor abnormal status warning module combines the motor load data with the motor temperature analysis result, the motor current data analysis result, and the motor noise analysis result to perform abnormal status warning. The motor abnormal status warning module also performs abnormal status warning based on the motor insulation data analysis result.

[0005] As a preferred technical solution of the present invention, the expression of the motor temperature acquired by the motor temperature acquisition unit is as follows: wherein, represents the motor temperature set, represents the motor temperature acquired at time 1, represents the time at which the motor temperature is acquired, represents the time at which the motor temperature is acquired; The expression of the motor noise data collected by the motor noise data acquisition unit is as follows: Wherein, represents the motor noise data set, represents the motor noise data collected at time 1, represents the time at which the motor noise data is collected, represents the time at which the motor noise data is collected; The expression of the motor current data collected by the motor current data acquisition unit is as follows: Wherein, represents the motor current data set, represents the motor current data collected at time 1, represents the time at which the motor current data is collected, represents the time at which the motor current data is collected; The expression of the motor load data collected by the motor load data acquisition unit is as follows: Wherein, represents the motor load data set, represents the motor load data collected at time 1, represents the time at which the motor load data is collected, represents the time at which the motor load data is collected, .

[0006] As a preferred technical solution of the present invention, the expression of the motor insulation data collected by the motor insulation data acquisition unit is as follows: Wherein, represents the set of resistance values at the motor insulation, represents the resistance value at the motor insulation collected at time 1, represents the time at which the resistance value at the motor insulation is collected, represents the time at which the resistance value at the motor insulation is collected, represents the time at which the resistance value at the motor insulation is collected, and at the same time, judge the time the resistance value at the motor insulation Whether it is lower than the standard resistance value. If so, record the image data of the motor insulation after the moment and take the image data of the motor insulation after the moment and the resistance value of the motor insulation after the moment as the motor insulation data, .

[0007] As a preferred technical solution of the present invention, the motor temperature analysis unit analyzes the operating condition of the motor based on the motor temperature, and the expression of the motor temperature analysis result is as follows: where, represents the motor temperature analysis result, represents the motor temperature at the moment , represents the motor temperature at the moment , represents the motor operating temperature threshold, represents a parameter to ensure .

[0008] 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 the expression of the motor current data analysis result is as follows: where, represents the motor current data analysis result, represents the maximum value of the motor current, represents the rated value of the motor current, represents the motor current data at the moment .

[0009] 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 the expression of the motor noise analysis result is as follows: where, represents the motor noise data analysis result, represents the motor noise data at the moment , represents the motor noise data at the moment , represents the maximum value function.

[0010] As a preferred technical solution of the present invention, the process of the motor insulation data analysis unit analyzing the motor insulation condition based on the motor insulation data is as follows: At the moment Screen the moments corresponding to the images with increased brightness in the image data of the motor insulation afterwards.

[0011] As a preferred technical solution of the present invention, the steps for the motor abnormal state warning module to perform abnormal state warning by combining motor load data, motor temperature analysis results, motor current data analysis results, and motor noise analysis results are as follows: A1. When the motor temperature analysis result is such, output that the motor temperature is normal. When is such, if , then determine that the temperature is abnormal and send a temperature warning. If is such, then output that the motor temperature is normal; A2. When is such, output that the motor current data is normal. When is such, cut off the power supply of the motor. When is such, compare the moment when the motor current analysis result is output with the moment when high load appears in the motor load data. If they are the same, output that the motor is working at high load. If they are not the same, output that the motor current is abnormal; A3. During the working process, when the analysis result of the motor noise data is greater than the set value, send the abnormal data of the motor working. If it is lower, no warning is given.

[0012] As a preferred technical solution of the present invention, the process for the motor abnormal state warning module to perform abnormal state warning based on the motor insulation data analysis result is: compare the moment corresponding to the image with increased brightness in the motor insulation data analysis result with the moment when high load appears in the motor load data. If they are the same, send a warning of insulation layer damage. If they are not the same or the moment corresponding to the image with increased brightness is not screened, output a warning of insulation layer aging.

[0013] The present invention also provides a method for warning the abnormal state of a motor, which is applied to the above-mentioned motor abnormal state warning system, and includes the following steps: S1. Collect the motor temperature, motor noise data, motor load data, motor current data, and motor insulation data during the working process of the motor; S2. Analyze the motor temperature, motor noise data, motor current data, and motor insulation data; S3. Output the abnormal state of the motor based on the results of the analysis in step S2 and the motor load data in step S1.

[0014] Compared with the prior art, the present invention provides a motor abnormal state warning system and method, which have the following beneficial effects: The present invention collects the motor temperature, motor noise data, motor load data, motor current data, and motor insulation data during the operation of the motor, and analyzes the motor temperature, motor noise data, motor current data, and motor insulation data, so as to obtain the specific conditions of abnormal motor temperature, abnormal noise, abnormal insulation layer aging, or abnormal current, realizing the preliminary judgment of motor abnormalities and saving the time loss of maintenance personnel during maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the system framework of the present invention; Figure 2 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0017] Please refer to 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; 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 acquire the temperature of the motor during operation to obtain the motor temperature , the motor noise data acquisition unit is used to acquire the motor noise data to obtain the motor noise data , the motor current data acquisition unit is used to acquire the current data of the motor during operation to obtain the motor current data , the motor insulation data acquisition unit is used to acquire the data of the insulation layer of the motor to obtain the motor insulation data , judgment moment Resistance value at the motor insulation Whether it is lower than the standard resistance value. If it is lower, record the image data of the motor insulation after the moment , and the image data of the motor insulation after the moment and the image data of the motor insulation after the moment The resistance value at the insulation of the motor after that 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 status abnormal warning module. The motor load data records the working load of the motor. Data lower than the rated load is classified as low load, and data higher than the rated load is classified as high load. Among them, represents the motor temperature set, represents the motor temperature collected at time 1, represents time at which the motor temperature is collected, represents time at which the motor temperature is collected, represents the motor noise data set, represents the motor noise data collected at time 1, represents time at which the motor noise data is collected, represents time at which the motor noise data is collected, represents the motor current data set, represents the motor current data collected at time 1, represents time at which the motor current data is collected, represents time at which the motor current data is collected, represents the motor load data set, represents the motor load data collected at time 1, represents time at which the motor load data is collected, represents time at which the motor load data is collected, represents the set of resistance values at the insulation of the motor, represents the resistance value at the insulation of the motor collected at time 1, represents time at which the resistance value at the insulation of the motor is collected, represents time at which the resistance value at the insulation of the motor is collected, represents time at which the resistance value at the insulation of the motor is collected, , and the subscript respectively reflects different sampling times.

[0018] 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 operating condition 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 warning module respectively. The motor temperature analysis unit analyzes the operating condition of the motor based on the motor temperature, and the expression for obtaining the motor temperature analysis result is as follows: Wherein, represents the motor temperature analysis result, represents the moment of the motor temperature, represents the moment of the motor temperature, represents the motor operating temperature threshold, represents a parameter to ensure In this application, the value of always lags behind the difference by one carry. For example, if the difference is 0.38, then the value can be 0.001, thus avoiding the influence on the positive and negative conditions of the expression difference. The motor current analysis unit analyzes the current condition of the motor based on the motor current data, and the expression for obtaining the motor current data analysis result is as follows: Wherein, represents the motor current data analysis result, represents the maximum value of the motor current, represents the rated value of the motor current, represents the moment of the motor current data. If the current is 2A at this time, A, At this time, The motor noise data analysis unit analyzes the motor based on the motor noise data, and the expression for obtaining the motor noise analysis result is as follows: Wherein, represents the motor noise data analysis result, Motor noise data at time , Motor noise data at time , Denotes the maximum value function, which pre - estimates whether there is bearing damage inside the motor by the degree of noise mutation, and can obtain the time when the maximum jump value occurs. When the maintenance personnel perform maintenance, they can obtain the information at this place in time, thus saving the 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: Screen the time corresponding to the image with increased brightness in the image data of the motor insulation part after time ; The motor abnormal state warning module combines the motor load data, the motor temperature analysis result, the motor current data analysis result, and the motor noise analysis result to conduct abnormal state warning. The motor abnormal state warning module also conducts abnormal state warning based on the motor insulation data analysis result: The steps for the motor abnormal state warning module to combine the motor load data, the motor temperature analysis result, the motor current data analysis result, and the motor noise analysis result to conduct abnormal state warning are as follows: Step 1: When the motor temperature analysis result , it outputs that the motor temperature is normal. When , if , it judges that the temperature is abnormal and sends a temperature warning. If , it outputs that the motor temperature is normal; Step 2: When , it outputs that the motor current data is normal. When , the motor is powered off. When , compare the time when the motor current analysis result is output with the time when high load appears in the motor load data. If they are the same, it outputs that the motor is working at high load. If they are not the same, it outputs that the motor current is abnormal; Step 3: During the working process, when the motor noise data analysis result is greater than the set value, it sends motor working abnormal data. If it is lower, no warning is given.

[0019] The process for the motor abnormal state warning module to conduct abnormal state warning based on the motor insulation data analysis result is as follows: Compare 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 they are the same, it sends a warning of insulation layer damage. If they are not the same or the time corresponding to the image with increased brightness is not screened, it outputs a warning of insulation layer aging.

[0020] Embodiment 1: The early warning process for motor insulation data is as follows: The expression for detecting the resistance value of the motor insulation layer at a certain moment is as follows: , and the resistance value at this time is The corresponding moment is taken as the j moment, and the detected resistance value of In the subsequent image data of the motor insulation, if there is an image with increased brightness, the increase in brightness can be calculated in combination with the specific values in the RGB color space. If the moment when the brightness increases is the same as the moment when high load appears in the motor load data, it indicates that the insulation layer is damaged and there is sparking due to a relatively high current. If they are not consistent, it indicates that the degree of insulation layer damage is relatively low or the degree of aging is relatively high.

[0021] Such as Figure 2 As shown, the present invention also provides a method for warning abnormal states of a motor, which is applied to the above-mentioned warning system for abnormal states of a motor, and includes the following steps: S1. Collect the motor temperature, motor noise data, motor load data, motor current data, and motor insulation data during the operation of the motor; S2. Analyze the motor temperature, motor noise data, motor current data, and motor insulation data; S3. Output the abnormal state of the motor based on the results of the analysis in step S2 and the motor load data in step S1.

[0022] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An abnormal state warning system for a motor, characterized in that: It includes a motor data acquisition module, a motor data analysis module, and a 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 acquire the temperature of the motor during operation to obtain the motor temperature. The motor noise data acquisition unit is used to acquire the motor noise data to obtain the motor noise data. The motor current data acquisition unit is used to acquire the current data of the motor during operation to obtain the motor current data. The motor insulation data acquisition unit is used to acquire the data of the insulation layer of the motor to obtain the motor insulation data. The motor data acquisition module sends the acquired 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 used to acquire the motor load data and send the motor load data to the motor state abnormal warning module. The motor load data records the working load of the motor. The data lower than the rated load is classified as low load, and the data higher than the rated load is classified 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 condition of the motor based on the motor temperature to obtain the motor temperature analysis result. The motor current analysis unit analyzes the current condition of the motor based on the motor current data to obtain the motor current data analysis result. The motor noise data analysis unit analyzes the motor based on the motor noise data to obtain the 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 the 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 abnormal state warning module combines the motor load data with the motor temperature analysis result, the motor current data analysis result, and the motor noise analysis result to conduct abnormal state warning. The motor abnormal state warning module also conducts abnormal state warning based on the motor insulation data analysis result.

2. The motor abnormal state warning system according to claim 1, characterized in that: The expression of the motor temperature acquired by the motor temperature acquisition unit is as follows: Among them, represents the motor temperature set, represents the motor temperature collected at time 1, represents the time when the motor temperature is collected, represents the time when the motor temperature is collected; The expression of the motor noise data acquired by the motor noise data acquisition unit is as follows: Among them, represents the motor noise dataset, represents the motor noise data collected at time 1, represents the time at which the motor noise data is collected, represents the time at which the motor noise data is collected; The expression of the motor current data acquired by the motor current data acquisition unit is as follows: Among them, represents the motor current data set, represents the motor current data collected at time 1, represents time the motor current data collected at, represents time the motor current data collected at; The expression of the motor load data acquired by the motor load data acquisition unit is as follows: Among them, represents the motor load data set, represents the motor load data collected at time 1, represents the time when the motor load data is collected, represents the time when the motor load data is collected, .

3. The motor abnormal state warning system according to claim 1, characterized in that: The expression of the motor insulation data acquired by the motor insulation data acquisition unit is as follows: Among them, represents the set of resistance values at the motor insulation, represents the resistance value at the motor insulation collected at time 1, represents the time when the resistance value at the motor insulation is collected, represents the time when the resistance value at the motor insulation is collected, represents the time when the resistance value at the motor insulation is collected, and at the same time, it is judged whether the resistance value of the motor insulation at time is lower than the standard resistance value. If it is lower, the image data of the motor insulation after time is recorded, and the image data of the motor insulation after time and the resistance value of the motor insulation after time are used as the motor insulation data, .

4. The motor abnormal state warning system according to claim 2, characterized in that: The expression of the motor temperature analysis result obtained by the motor temperature analysis unit analyzing the operation condition of the motor based on the motor temperature is as follows: Among them, represents the analysis result of the motor temperature, represents the time of the motor temperature, represents the time of the motor temperature, represents the threshold value of the motor operating temperature, represents a parameter that ensures .

5. The motor abnormal state warning system according to claim 2, characterized in that: The motor current analysis unit analyzes the current situation of the motor based on the motor current data, and the expression of the analysis result of the motor current data is as follows: Among them, represents the analysis result of the motor current data, represents the maximum value of the motor current, represents the rated value of the motor current, represents the moment of the motor current data.

6. The motor abnormal state warning system according to claim 2, wherein: The motor noise data analysis unit analyzes the motor based on the motor noise data, and the expression of the analysis result of the motor noise is as follows: Among them, represents the analysis result of motor noise data, represents the moment of the motor noise data, represents the moment of the motor noise data, represents the maximum value function.

7. The motor abnormal state warning system according to claim 3, characterized in that: The process of the motor insulation data analysis unit analyzing the motor insulation condition based on the motor insulation data to obtain the motor insulation data analysis result is as follows: Screening the moments corresponding to the images with increased brightness in the image data of the motor insulation after the moment is performed.

8. The motor abnormal state warning system according to claim 1, wherein: The steps for the motor abnormal state warning module to perform abnormal state warning by combining the motor load data, the motor temperature analysis result, the motor current data analysis result, and the motor noise analysis result are as follows: A1. When the motor temperature analysis result is obtained, the normal motor temperature is output. When is obtained, if , the temperature is judged to be abnormal and a temperature warning is sent. If is obtained, the normal motor temperature is output; A2. When , the output motor current data is normal. When , the power supply to the motor is cut off. When , compare the time when the output motor current analysis result is obtained with the time when the high load appears in the motor load data. If they are the same, it means the motor is operating at high load and the result is output. If they are different, it means the motor current is abnormal and the result is output; A3 Analysis results of motor noise data during operation When it is greater than the set value, send abnormal motor operation data, and do not give an early warning if it is lower.

9. The motor abnormal state warning system according to claim 7, characterized in that: The process for the motor abnormal state warning module to perform abnormal state warning based on the analysis result of the motor insulation data is as follows: Compare the moment corresponding to the image with increased brightness in the analysis result of the motor insulation data with the moment when high load appears in the motor load data. If the two are the same, send a warning of insulation layer damage; if they are different or the moment corresponding to the image with increased brightness is not screened, output a warning of insulation layer aging.

10. A method for warning of abnormal state of an electric motor, which is applied to an abnormal state warning system of an electric motor according to any one of claims 1-9, and is characterized in that: Including the following steps: S1. Collect the motor temperature, motor noise data, motor load data, motor current data, and motor insulation data during the operation of the motor; S2. Analyze the motor temperature, motor noise data, motor current data, and motor insulation data; S3. Output the abnormal state of the motor based on the result of the analysis in step S2 and the motor load data in step S1.

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