A portable multi-parameter motor state detection device and method

Abstract

The present invention provides a portable multi-parameter motor state detection device and method, the device comprising: a vibration sensor, a noise sensor, a voltage sensor, a current sensor, a temperature sensor, a lithium battery, a signal acquisition board, a control board and a display screen; the signal acquisition board is respectively connected to the vibration sensor, the noise sensor, the voltage sensor, the current sensor, the temperature sensor, the lithium battery and the control board; the control board is connected to the display screen; the device and method can synchronously collect state parameter information such as vibration, noise, voltage, current, temperature, etc. of the motor, and perform real-time online data signal processing, adopt a weight coefficient calculation method to comprehensively evaluate the health status of the motor under test, and make a warning level division.

Description

Technical Field

[0001] The invention relates to a portable multi-parameter motor state detection device and method. Background Art

[0002] The current motor status detection equipment is mainly single-state independent real-time detection. The more common ones are multimeters, power quality testers and other equipment. Although these devices are easy to carry, they can only detect motor status parameters independently in time, and do not perform a synchronous comprehensive diagnosis and analysis of the main parameters that reflect the health status of the motor, including but not limited to vibration, noise, voltage, current, and temperature. Some other detection equipment can collect multi-state parameter data in advance and then perform offline analysis on the working host, but this type of equipment is generally large, not easy to carry, and has poor real-time warning detection. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a portable multi-parameter motor state detection device and method, which can synchronously collect the vibration, noise, voltage, current, temperature and other state parameter information of the motor, and perform real-time online data signal processing, and use the weight coefficient calculation method to comprehensively evaluate the health status of the motor under test and make a warning level classification.

[0004] One of the present inventions is implemented as follows: a portable multi-parameter motor state detection device, comprising: a vibration sensor, a noise sensor, a voltage sensor, a current sensor, a temperature sensor, a lithium battery, a signal acquisition board, a control board and a display screen;

[0005] The signal acquisition board is respectively connected to the vibration sensor, noise sensor, voltage sensor, current sensor, temperature sensor, lithium battery and control board;

[0006] The control board is connected to the display screen.

[0007] Furthermore, the signal acquisition board includes two or more voltage analog signal conditioning circuits, two or more current analog signal conditioning circuits and a voltage conversion circuit; the vibration sensor and the noise sensor are connected to the current analog signal conditioning circuit in a one-to-one correspondence; the voltage sensor, the current sensor and the temperature sensor are connected to the voltage analog signal conditioning circuit in a one-to-one correspondence, and each of the voltage analog signal conditioning circuit and each of the current analog signal conditioning circuit are connected to the control board; the lithium battery is connected to each of the voltage analog signal conditioning circuit and each of the current analog signal conditioning circuit through a voltage conversion circuit.

[0008] Further, the voltage analog signal conditioning circuit includes: J307, operational amplifier U301C, variable resistor R383, resistor R384, resistor R385, resistor R386, capacitor C385, capacitor C386, operational amplifier U303A, resistor R387, capacitor C389 and a first voltage limiting module;

[0009] The voltage conversion circuit is respectively connected to pin 3 and pin 4 of J307, the positive power pin of the operational amplifier U303A, the negative power pin of the operational amplifier U303A, one end of the capacitor C385 and one end of the capacitor C386; the other end of the capacitor C385 and the other end of the capacitor C386 are both grounded;

[0010] Pin 2 of the J307 is connected to the positive input terminal of the operational amplifier U301C, the negative input terminal of the operational amplifier U301C and the output terminal of the operational amplifier U301C are both connected to one end of the resistor R384, the other end of the resistor R384 and one end of the resistor R386 are both connected to the negative input terminal of the operational amplifier U303A, and one end of the variable resistor R383 is connected to a 5V reference voltage; the other end of the variable resistor R383 is respectively connected to the positive input terminal of the operational amplifier U303A and one end of the resistor R385, and the other end of the resistor R385 is grounded; the output terminal of the operational amplifier U303A is respectively connected to the other end of the resistor R386 and one end of the resistor R387, the other end of the resistor 387 is respectively connected to the first voltage limiting module, one end of the capacitor C389 and the control board, and the other end of the capacitor 389 is grounded.

[0011] Further, the current signal conditioning circuit includes: J304, resistor R310, operational amplifier U304D, variable resistor R358, resistor R359, resistor R360, resistor R361, operational amplifier U308B, resistor R362, capacitor C330 and a second voltage limiting module;

[0012] The voltage conversion circuit is respectively connected to pin 3 and pin 4 of J304; pin 2 of J304 is respectively connected to one end of the resistor R310 and the positive input end of the operational amplifier U304D, and the other end of the resistor R310 is grounded; the negative input end and the output end of the operational amplifier U304D are both connected to one end of the resistor R359, the other end of the resistor R359 is connected to the negative input end of the operational amplifier U308B and one end of the electronic R361, one end of the variable resistor R358 is connected to the 5V reference voltage, the other end of the variable resistor R358 is respectively connected to one end of the resistor R360 and the positive input end of the operational amplifier U308B, the other end of the resistor R360 is grounded, the other end of the resistor R361 and the output end of the operational amplifier U308B are both connected to one end of the resistor R362, the other end of the resistor R362 is respectively connected to the second voltage limiting module, one end of the capacitor C330 and the control board, and the other end of the capacitor C330 is grounded.

[0013] Furthermore, it also includes a 485 communication module, and the control board is connected to the display screen through the 485 communication module.

[0014] The second aspect of the present invention is implemented as follows: a portable multi-parameter motor state detection method, the detection method needs to provide a portable multi-parameter motor state detection device in any one of the present inventions, specifically comprising the following steps:

[0015] The vibration acceleration data, noise data and temperature data of the motor in normal operation are obtained in advance through the detection device, and stored in the database;

[0016] Acquire vibration acceleration data, noise data, current data, voltage data and temperature data of the motor under test through a detection device;

[0017] The data are correlated and the corresponding vibration correlation coefficient, noise correlation coefficient, current correlation coefficient, voltage correlation coefficient and temperature correlation coefficient are obtained respectively;

[0018] Then the vibration weight coefficient, noise weight coefficient, current weight coefficient, voltage weight coefficient and temperature weight coefficient are obtained.

[0019] The above weight coefficient is obtained according to the motor state warning function, and the result is compared with the set value to obtain the detection result.

[0020] Furthermore, the vibration weight coefficient is determined by first collecting a set of vibration acceleration data from a motor in normal operation, and obtaining a set of frequency domain arrays Y based on fast Fourier calculation. vir = {Y11 ,Y 12 …Y 1n} as a typical reference array, and then collect a set of vibration accelerations of the target motor under test, and obtain a set of frequency domain arrays X based on fast Fourier calculation vir ={X 11 ,X 12 …X 1n}, for array X vir and Y vir Perform correlation calculation and obtain the correlation coefficient R vir , the vibration weight coefficient is: γ 1 =2×(1-R vir );

[0021]

[0022] The method for determining the noise weight coefficient is as follows: first, a set of noise data is collected from the motor in normal operation state, and a set of frequency domain arrays Y is obtained based on fast Fourier calculation. noi = {Y 21 ,Y 22 …Y 2n} as a typical reference array, and then collect a set of noise data of the motor under test, and obtain a set of data corresponding to the array X in the frequency domain based on fast Fourier calculation. noi ={X 21 ,X 22 …X 2n}, for array X noi and Y noi Perform correlation calculation and obtain the correlation coefficient R noi , the noise weight coefficient is: γ 2 =2×(1-R noi );

[0023]

[0024] The method for determining the current weight coefficient is as follows: a set of current data of the target motor under test is collected, and a set of frequency domain arrays X is obtained based on fast Fourier calculation. cur ={X 31 ,X 32 …X 3n}, calculate the harmonic distortion rate of the current as C thd , the current weight coefficient is: γ 3 =0.1×C thd ;

[0025]

[0026] The method for determining the voltage weight coefficient is as follows: a set of voltage data of the target motor under test is collected, and a set of frequency domain arrays X is obtained based on fast Fourier calculation. vol ={X 41 ,X 42 …X 4n}, calculate the harmonic distortion rate of the current as V thd , the current weight coefficient is: γ 4 =0.1×V thd ;

[0027]

[0028] The method for determining the temperature parameter weight coefficient is as follows: first, a set of steady-state temperature data is collected for the motor in normal operation, Y tem = {Y 51 ,Y 52 …Y 5n} as a typical reference array, and then collect a set of temperature data X of the target motor under test tem ={X 51 ,X 52 …X 5n}, for array X tem and Y tem The temperature weight coefficient γ is determined based on the result. 5 :

[0029]

[0030] Furthermore, the weight coefficient is obtained according to the motor state warning function, and the result is compared with the set value to obtain the detection result, which is further specifically:

[0031] The motor status warning function is: γ all =γ 1 +γ 2 +γ 2 +γ 3 +γ 4 , a result is calculated according to the motor status warning function; if the result is greater than or equal to the first set value and less than or equal to the second set value, it is a good level; if the result is greater than the second set value and less than or equal to the third set value, it is a minor fault warning level; if the result is greater than the third set value, it is a serious fault warning level and needs to be shut down for maintenance.

[0032] The advantages of the present invention are: a portable multi-parameter motor status detection device and method of the present invention is small in size, light in weight, easy to carry and disassemble, and comprehensively considers multiple parameters to perform early warning analysis on the motor health status, making the early warning result more comprehensive and accurate.

[0033] High-precision analog signal acquisition circuit: According to the characteristics of sensor signals, voltage analog signal acquisition circuit and current analog signal acquisition circuit are designed. These two signal acquisition circuits have functions such as voltage following, voltage scaling, signal filtering and limiting to ensure the accuracy of signal acquisition; Strong versatility: The motor state parameters measured by the device of the present invention have a wide range and can cover most power levels of asynchronous motors, permanent magnet synchronous motors and other motors, with strong versatility.

[0034] By acquiring parameters such as vibration, noise, temperature, voltage, and current, a unified comprehensive judgment model for the motor state is established, which includes multiple weight coefficient calculation methods. Among them, fast Fourier analysis is performed on the vibration and noise parameters based on the frequency domain analysis method, and the similarity analysis is performed between the vibration and noise amplitude-frequency characteristic curves and the typical amplitude-frequency characteristic curves to determine the vibration and noise weight system; fast Fourier analysis is performed on the voltage and current parameters based on the frequency domain analysis method, and the voltage and current harmonic distortion rates are calculated to determine the voltage and current weight coefficients; the temperature weight coefficient is determined by comparing the deviation between the measured motor temperature and the typical steady-state temperature rise of the motor, and finally a weight function model that can comprehensively, fully, and effectively reflect the health status of the motor is determined. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention will be further described below in conjunction with embodiments with reference to the accompanying drawings.

[0036] Figure 1 It is a structural schematic diagram of a portable multi-parameter motor state detection device of the present invention.

[0037] Figure 2 It is a circuit diagram of the voltage analog signal conditioning circuit of the present invention.

[0038] Figure 3 It is a circuit diagram of the current analog signal conditioning circuit of the present invention.

[0039] Figure 4 The present invention is a flowchart of a portable multi-parameter motor state detection method. DETAILED DESCRIPTION

[0040] Aiming at the problems existing in the existing detection equipment and systems, a portable multi-parameter motor state detection device is proposed. The device can synchronously collect the vibration, noise, voltage, current, temperature and other state parameter information of the motor, and perform real-time online data signal processing. The weight coefficient calculation method is used to comprehensively evaluate the health status of the motor under test and make a warning level classification.

[0041] like Figure 1As shown, the hardware of the portable motor state detection device consists of a vibration sensor, a noise sensor, a voltage sensor, a current sensor, a temperature sensor, a 24V lithium battery, a signal acquisition board, a control board, a 485 communication module, a display screen, and a casing. The vibration sensor and the noise sensor output current analog signals, and the temperature sensor, the voltage sensor, and the current sensor output voltage analog signals. The signal acquisition board inside the casing collects the current analog signals and voltage analog signals output by the sensor, and finally converts them into the voltage analog range acceptable to the control board and transmits them to the control board. The control board performs data analysis and processing on the collected analog data to make fault alarms and comprehensive status warning signals, and transmits the information to the display screen through the 485 communication module. The display screen displays the received data in real time for the detection personnel to read and judge. The 24V lithium battery powers the entire portable state detection device, and the signal acquisition board converts 24V into 5V to power the control board and the display screen.

[0042] The signal acquisition board is mainly composed of multiple groups of signal conditioning circuits, which are divided into voltage analog signal conditioning circuits and current analog signal conditioning circuits. There is a voltage conversion module in the signal acquisition board to convert 24V to 5V to power the control board and display frequency;

[0043] Voltage analog signal conditioning circuits, such as Figure 2 As shown, -15V and +15V are connected to the 24V to ±15V voltage conversion module, Ref+5V is the 5V reference voltage, connected to the voltage chip ADR293, and the A+3.3V voltage signal is connected to the A+3.3V pin of the main control chip on the control board. J307 is connected to the sensor plug, J307 pin 1 is connected to the signal ground, pin 2 is the sensor voltage analog signal input terminal, op amp U301C is the voltage follower module, resistors R383, R384, R385, R386, capacitors C385, C386, and op amp U303A together form a voltage scaling circuit. By adjusting the resistance value of R383, the output range of the voltage analog signal is limited to 0~3.2V. Resistor R387 and capacitor C389 form an RC filter circuit, which can filter out high-frequency interference in the analog signal. D389 is a diode in the first voltage limiting module to prevent the analog output voltage from exceeding the range of 0~3.3V. Finally, the conditioned signal V1 is sent to the control board.

[0044] Current signal conditioning circuits, such as Figure 3As shown, -15V and +15V are connected to the 24V to ±15V voltage conversion circuit, Ref+5V is a 5V reference voltage, connected to the voltage chip ADR293, the voltage conversion circuit includes the voltage chip ADR293, the power supply is connected to +15V, the output is a 5V reference voltage, and the A+3.3V voltage signal is connected to the A+3.3V pin of the main control chip on the control board. J304 is connected to the sensor plug, J304 pin 2 is the sensor current analog signal input terminal, the sampling resistor R310 converts the current analog signal into a voltage analog signal, the operational amplifier U304D is a voltage follower module, and the resistors R358, R359, R360, R361, and the operational amplifier U308 together form a voltage scaling circuit. By adjusting the resistance value of R358, the output range of the voltage analog signal is limited to 0~3.2V. Resistor R362 and capacitor C330 form an RC filter circuit, which can filter out high-frequency interference in the analog signal. D310 is a diode in the second voltage limiting module, which prevents the analog output voltage from exceeding the range of 0 to 3.3V. Finally, the conditioned signal I4 is sent to the control board.

[0045] Figure 2 and Figure 3 J307 and J304 are external sensor connectors. Each sensor requires a separate signal conditioning circuit. Vibration sensors and noise sensors use Figure 2 The current analog signal conditioning circuit shown in the figure uses the temperature sensor, current sensor, and voltage sensor Figure 3 The voltage analog signal conditioning circuit shown.

[0046] The five parameter signals conditioned by the signal acquisition card are sent to the control board, which implements status detection including limit fault alarm function and comprehensive status early warning analysis function. The specific analysis process is as follows: Figure 4 As shown: The limit fault alarm function is to measure the effective values ​​of the five parameters of vibration, noise, current, voltage and temperature respectively and compare the effective values ​​with the preset point parameter limits. If the limit is exceeded, a fault alarm of the corresponding status will be displayed.

[0047] Comprehensive early warning analysis function: Comprehensively consider the five motor state parameters of vibration, noise, current, voltage and temperature, and calculate the weight coefficient of each parameter based on the characteristics of the five parameters reflecting the motor state from different aspects. Finally, the five weight coefficients are comprehensively calculated to obtain a comprehensive early warning function, and graded early warnings are given according to the calculation results.

[0048] The method for determining the weight coefficient of the vibration acceleration parameter is as follows: first, a set of vibration acceleration data is collected from the motor in a healthy operating state, and a set of frequency domain arrays Y are obtained based on fast Fourier calculation. vir = {Y 11 ,Y 12 …Y1n} as a typical reference array as a typical reference array, and then collect a set of vibration accelerations of the target motor under test, and obtain a set of frequency domain arrays X based on fast Fourier calculation vir ={X 11 ,X 12 …X 1n}, for array X vir and Y vir Perform correlation calculation and obtain the correlation coefficient R vir , the vibration weight coefficient is: γ 1 =2×(1-R vir )

[0049]

[0050] The method for determining the noise parameter weight coefficient is as follows: first, a set of noise data is collected from the motor in a healthy operating state, and a set of frequency domain arrays Y is obtained based on fast Fourier calculation. noi = {Y 21 ,Y 22 …Y 2n} as a typical reference array, and then collect a set of noise data of the motor under test, and obtain a set of data corresponding to the array X in the frequency domain based on fast Fourier calculation. noi ={X 21 ,X 22 …X 2n}, for array X noi and Y noi Perform correlation calculation and obtain the correlation coefficient R noi , the noise weight coefficient is: γ 2 =2×(1-R noi )

[0051]

[0052] The method for determining the current parameter weight coefficient is as follows: a set of current data of the target motor under test is collected, and a set of frequency domain arrays X is obtained based on fast Fourier calculation. cur ={X 31 ,X 32 …X 3n}Calculate the harmonic distortion rate of the current as C thd , the current weight coefficient is: γ 3 =0.1×C thd

[0053]

[0054] The method for determining the voltage parameter weight coefficient is as follows: a set of current data of the target motor under test is collected, and a set of frequency domain arrays X is obtained based on fast Fourier calculation.vol ={X 41 ,X 42 …X 4n}Calculate the harmonic distortion rate of the current as V thd , the current weight coefficient is: γ 4 =0.1×V thd

[0055]

[0056] The method for determining the temperature parameter weight coefficient is as follows: first, a set of steady-state temperature data is collected for the motor in a healthy operating state, Y tem = {Y 51 ,Y 52 …Y 5n} as a typical reference array, and then collect a set of temperature data X of the target motor under test tem ={X 51 ,X 52 …X 5n}, for array X tem and Y tem The temperature weight coefficient γ is determined based on the result. 5 .

[0057]

[0058] The comprehensive warning function of the motor status is: all =γ 1 +γ 2 +γ 2 +γ 3 +γ 4 , the warning level is divided according to the calculation results of the comprehensive warning function. The function calculation value result 0 to 2 is a good level, 2 to 5 is a minor fault warning, and greater than 5 is a serious fault warning level that requires shutdown maintenance.

[0059] Embodiment 1

[0060] like Figures 1 to 3 As shown, the present invention is a portable multi-parameter motor state detection device, comprising: a vibration sensor, a noise sensor, a voltage sensor, a current sensor, a temperature sensor, a lithium battery, a signal acquisition board, a control board and a display screen;

[0061] The signal acquisition board is respectively connected to the vibration sensor, noise sensor, voltage sensor, current sensor, temperature sensor, lithium battery and control board;

[0062] The control board is connected to the display screen.

[0063] The signal acquisition board includes two or more voltage analog signal conditioning circuits, two or more current analog signal conditioning circuits and a voltage conversion circuit; the vibration sensor and the noise sensor are connected to the current analog signal conditioning circuit in a one-to-one correspondence; the voltage sensor, the current sensor and the temperature sensor are connected to the voltage analog signal conditioning circuit in a one-to-one correspondence, and each of the voltage analog signal conditioning circuits and each of the current analog signal conditioning circuits are connected to the control board; the lithium battery is connected to each of the voltage analog signal conditioning circuits and each of the current analog signal conditioning circuits through a voltage conversion circuit.

[0064] The voltage analog signal conditioning circuit includes: J307, an amplifier U301C, a variable resistor R383, a resistor R384, a resistor R385, a resistor R386, a capacitor C385, a capacitor C386, an amplifier U303A, a resistor R387, a capacitor C389 and a first voltage limiting module, wherein the first voltage limiting module is two diodes connected in parallel;

[0065] The voltage conversion circuit is respectively connected to pin 3 and pin 4 of J307, the positive power pin of the operational amplifier U303A, the negative power pin of the operational amplifier U303A, one end of the capacitor C385 and one end of the capacitor C386; the other end of the capacitor C385 and the other end of the capacitor C386 are both grounded;

[0066] Pin 2 of the J307 is connected to the positive input terminal of the operational amplifier U301C, the negative input terminal of the operational amplifier U301C and the output terminal of the operational amplifier U301C are both connected to one end of the resistor R384, the other end of the resistor R384 and one end of the resistor R386 are both connected to the negative input terminal of the operational amplifier U303A, and one end of the variable resistor R383 is connected to a 5V reference voltage; the other end of the variable resistor R383 is respectively connected to the positive input terminal of the operational amplifier U303A and one end of the resistor R385, and the other end of the resistor R385 is grounded; the output terminal of the operational amplifier U303A is respectively connected to the other end of the resistor R386 and one end of the resistor R387, the other end of the resistor 387 is respectively connected to the first voltage limiting module, one end of the capacitor C389 and the control board, and the other end of the capacitor 389 is grounded.

[0067] The current signal conditioning circuit includes: J304, resistor R310, operational amplifier U304D, variable resistor R358, resistor R359, resistor R360, resistor R361, operational amplifier U308B, resistor R362, capacitor C330 and a second voltage limiting module, wherein the second voltage limiting module is two diodes connected in parallel;

[0068] The voltage conversion circuit is respectively connected to pin 3 and pin 4 of J304; pin 2 of J304 is respectively connected to one end of the resistor R310 and the positive input end of the operational amplifier U304D, and the other end of the resistor R310 is grounded; the negative input end and the output end of the operational amplifier U304D are both connected to one end of the resistor R359, the other end of the resistor R359 is connected to the negative input end of the operational amplifier U308B and one end of the electronic R361, one end of the variable resistor R358 is connected to the 5V reference voltage, the other end of the variable resistor R358 is respectively connected to one end of the resistor R360 and the positive input end of the operational amplifier U308B, the other end of the resistor R360 is grounded, the other end of the resistor R361 and the output end of the operational amplifier U308B are both connected to one end of the resistor R362, the other end of the resistor R362 is respectively connected to the second voltage limiting module, one end of the capacitor C330 and the control board, and the other end of the capacitor C330 is grounded.

[0069] In another preferred embodiment, the detection device further includes a 485 communication module, and the control board is connected to the display screen via the 485 communication module.

[0070] Embodiment 2

[0071] The present invention lists a portable multi-parameter motor state detection method, which needs to provide a portable multi-parameter motor state detection device in embodiment 1, and specifically includes the following steps:

[0072] The vibration acceleration data, noise data and temperature data of the motor in normal operation are obtained in advance through the detection device, and stored in the database;

[0073] Acquire vibration acceleration data, noise data, current data, voltage data and temperature data of the motor under test through a detection device;

[0074] The data are correlated and the corresponding vibration correlation coefficient, noise correlation coefficient, current correlation coefficient, voltage correlation coefficient and temperature correlation coefficient are obtained respectively;

[0075] Then the vibration weight coefficient, noise weight coefficient, current weight coefficient, voltage weight coefficient and temperature weight coefficient are obtained.

[0076] The above weight coefficient is obtained according to the motor state warning function, and the result is compared with the set value to obtain the detection result.

[0077] The method for determining the vibration weight coefficient is as follows: first, a set of vibration acceleration data is collected from the motor in normal operation state, and a set of frequency domain arrays Y is obtained based on fast Fourier calculation.vir = {Y 11 ,Y 12 …Y 1n} as a typical reference array, and then collect a set of vibration accelerations of the target motor under test, and obtain a set of frequency domain arrays X based on fast Fourier calculation vir ={X 11 ,X 12 …X 1n}, for array X vir and Y vir Perform correlation calculation and obtain the correlation coefficient R vir , the vibration weight coefficient is: γ 1 =2×(1-R vir );

[0078]

[0079] The method for determining the noise weight coefficient is as follows: first, a set of noise data is collected from the motor in normal operation state, and a set of frequency domain arrays Y is obtained based on fast Fourier calculation. noi = {Y 21 ,Y 22 …Y 2n} as a typical reference array, and then collect a set of noise data of the motor under test, and obtain a set of data corresponding to the array X in the frequency domain based on fast Fourier calculation. noi ={X 21 ,X 22 …X 2n}, for array X noi and Y noi Perform correlation calculation and obtain the correlation coefficient R noi , the noise weight coefficient is: γ 2 =2×(1-R noi );

[0080]

[0081] The method for determining the current weight coefficient is as follows: a set of current data of the target motor under test is collected, and a set of frequency domain arrays X is obtained based on fast Fourier calculation. cur ={X 31 ,X 32 …X 3n}, calculate the harmonic distortion rate of the current as C thd , the current weight coefficient is: γ 3 =0.1×C thd ;

[0082]

[0083] The method for determining the voltage weight coefficient is as follows: a set of voltage data of the target motor under test is collected, and a set of frequency domain arrays X is obtained based on fast Fourier calculation. vol ={X 41 ,X 42 …X 4n}, calculate the harmonic distortion rate of the current as V thd , the current weight coefficient is: γ 4 =0.1×V thd ;

[0084]

[0085] The method for determining the temperature parameter weight coefficient is as follows: first, a set of steady-state temperature data is collected for the motor in normal operation, Y tem = {Y 51 ,Y 52 …Y 5n} as a typical reference array, and then collect a set of temperature data X of the target motor under test tem ={X 51 ,X 52 …X 5n}, for array X tem and Y tem The temperature weight coefficient γ is determined based on the result. 5 :

[0086]

[0087] The weight coefficient is obtained according to the motor state warning function, and the result is compared with the set value to obtain the detection result, which is further specifically:

[0088] The motor status warning function is: γ all =γ 1 +γ 2 +γ 2 +γ 3 +γ 4 , a result is calculated according to the motor status warning function; if the result is greater than or equal to the first set value and less than or equal to the second set value, it is a good level; if the result is greater than the second set value and less than or equal to the third set value, it is a minor fault warning level; if the result is greater than the third set value, it is a serious fault warning level and needs to be shut down for maintenance.

[0089] Although the specific implementation modes of the present invention are described above, those skilled in the art should understand that the specific implementation modes described are only illustrative and are not intended to limit the scope of the present invention. Equivalent modifications and changes made by those skilled in the art in accordance with the spirit of the present invention should be included in the scope of protection of the claims of the present invention.

Claims

1. A multi-parameter motor state detection method, characterized in that: The detection method needs to provide a multi-parameter motor state detection device, which is characterized by comprising: a vibration sensor, a noise sensor, a voltage sensor, a current sensor, a temperature sensor, a lithium battery, a signal acquisition board, a control board and a display screen; The signal acquisition board is respectively connected to the vibration sensor, noise sensor, voltage sensor, current sensor, temperature sensor, lithium battery and control board; The control board is connected to the display screen; The method specifically comprises the following steps: The vibration acceleration data, noise data and temperature data of the motor in normal operation are obtained in advance through the detection device, and stored in the database; Acquire vibration acceleration data, noise data, current data, voltage data and temperature data of the motor under test through a detection device; The data is correlated and the corresponding vibration correlation coefficient, noise correlation coefficient, current harmonic distortion rate, voltage harmonic distortion rate and temperature average value are obtained respectively; Then, the vibration weight coefficient, the noise weight coefficient, the current weight coefficient, the voltage weight coefficient and the temperature weight coefficient are obtained; The above weight coefficient is used to obtain a result according to the motor state warning function, and the result is compared with the set value to obtain the detection result; The method for determining the vibration weight coefficient is as follows: first, a set of vibration acceleration data is collected from a motor in normal operation state, and a set of frequency domain arrays are obtained based on fast Fourier calculation. } as a typical reference array, and then collect a set of vibration accelerations of the target motor under test, and obtain a set of frequency domain arrays based on fast Fourier calculation }, for array and Perform correlation calculation to obtain the vibration correlation coefficient , the vibration weight coefficient is: ); The method for determining the noise weight coefficient is as follows: first, a set of noise data is collected from the motor in normal operation state, and a set of frequency domain arrays are obtained based on fast Fourier calculation. } as a typical reference array, and then collect a set of noise data of the motor under test, and obtain a set of arrays in the frequency domain based on fast Fourier calculation }, for array and Perform correlation calculation to obtain the noise correlation coefficient , the noise weight coefficient is: ); The method for determining the current weight coefficient is as follows: collecting a set of current data of the target motor under test, and obtaining a set of frequency domain arrays based on fast Fourier calculation }, calculate the harmonic distortion rate of the current as , the current weight coefficient is: ; The method for determining the voltage weight coefficient is as follows: collecting a set of voltage data of the target motor under test, and obtaining a set of frequency domain arrays based on fast Fourier calculation }, calculate the harmonic distortion rate of voltage as , the voltage weight coefficient is: ; The method for determining the temperature parameter weight coefficient is as follows: first, a set of steady-state temperature data is collected from the motor in normal operation. } as a typical reference array, and then collect a set of temperature data of the target motor under test }, for array and The temperature weight coefficient is determined based on the difference result. : 。 2. A multi-parameter motor state detection method as claimed in claim 1, characterized in that: The signal acquisition board includes two or more voltage analog signal conditioning circuits, two or more current analog signal conditioning circuits and a voltage conversion circuit; the vibration sensor and the noise sensor are connected to the current analog signal conditioning circuit in a one-to-one correspondence; the voltage sensor, the current sensor and the temperature sensor are connected to the voltage analog signal conditioning circuit in a one-to-one correspondence, and each of the voltage analog signal conditioning circuits and each of the current analog signal conditioning circuits are connected to the control board; the lithium battery is connected to each of the voltage analog signal conditioning circuits and each of the current analog signal conditioning circuits through a voltage conversion circuit.

3. A multi-parameter motor state detection method as claimed in claim 2, characterized in that: The voltage analog signal conditioning circuit includes: J307, operational amplifier U301C, variable resistor R383, resistor R384, resistor R385, resistor R386, capacitor C385, capacitor C386, operational amplifier U303A, resistor R387, capacitor C389 and a first voltage limiting module; the J307 is a sensor connector; The voltage conversion circuit is respectively connected to pin 3 and pin 4 of J307, the positive power pin of the operational amplifier U303A, the negative power pin of the operational amplifier U303A, one end of the capacitor C385 and one end of the capacitor C386; the other end of the capacitor C385 and the other end of the capacitor C386 are both grounded; Pin 2 of the J307 is connected to the positive input terminal of the operational amplifier U301C, the negative input terminal of the operational amplifier U301C and the output terminal of the operational amplifier U301C are both connected to one end of the resistor R384, the other end of the resistor R384 and one end of the resistor R386 are both connected to the negative input terminal of the operational amplifier U303A, and one end of the variable resistor R383 is connected to a 5V reference voltage; the other end of the variable resistor R383 is respectively connected to the positive input terminal of the operational amplifier U303A and one end of the resistor R385, and the other end of the resistor R385 is grounded; the output terminal of the operational amplifier U303A is respectively connected to the other end of the resistor R386 and one end of the resistor R387, the other end of the resistor 387 is respectively connected to the first voltage limiting module, one end of the capacitor C389 and the control board, and the other end of the capacitor 389 is grounded.

4. A multi-parameter motor state detection method as claimed in claim 2, characterized in that: The current analog signal conditioning circuit includes: J304, resistor R310, operational amplifier U304D, variable resistor R358, resistor R359, resistor R360, resistor R361, operational amplifier U308B, resistor R362, capacitor C330 and a second voltage limiting module; J304 is a sensor socket; The voltage conversion circuit is respectively connected to pin 3 and pin 4 of J304; pin 2 of J304 is respectively connected to one end of the resistor R310 and the positive input end of the operational amplifier U304D, and the other end of the resistor R310 is grounded; the negative input end and the output end of the operational amplifier U304D are both connected to one end of the resistor R359, the other end of the resistor R359 is connected to the negative input end of the operational amplifier U308B and one end of the resistor R361, one end of the variable resistor R358 is connected to the 5V reference voltage, the other end of the variable resistor R358 is respectively connected to one end of the resistor R360 and the positive input end of the operational amplifier U308B, the other end of the resistor R360 is grounded, the other end of the resistor R361 and the output end of the operational amplifier U308B are both connected to one end of the resistor R362, the other end of the resistor R362 is respectively connected to the second voltage limiting module, one end of the capacitor C330 and the control board, and the other end of the capacitor C330 is grounded.

5. A multi-parameter motor state detection method as claimed in claim 1, characterized in that: It also includes a 485 communication module, and the control board is connected to the display screen through the 485 communication module.

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