Measurement and control antenna motor fault feature diagnosis and screening method

Abstract

The invention provides a method for diagnosing and screening fault characteristics of a measurement and control antenna motor, which belongs to the technical field of motor diagnosis, and comprises the following steps: modeling an antenna, a motor and a transmission system between the antenna and the motor, and determining the working efficiency of the transmission system; and adding the modeled models into an upper computer, and simulating the external environment at the antenna in the upper computer in real time. After an instruction for driving the attitude of the antenna to change is issued, the instruction is transmitted to the upper computer, standard simulation of the model attitude is carried out in the upper computer, and the actual action of the antenna is compared with the standard simulation to analyze the difference between the actual action and the standard simulation in the movement process. And inferring the possible fault type of the motor in combination with the big data and a preset fault type library. The measurement and control antenna motor fault feature diagnosis and screening method provided by the invention can realize motor fault diagnosis under the condition that the motor is not disassembled, is relatively high in applicability, and has relatively great technical advantages.

Description

Technical Field

[0001] The present invention belongs to the technical field of motor diagnosis, and more specifically, relates to a method for diagnosing and screening fault characteristics of a measurement and control antenna motor. Background Art

[0002] A motor is an electromagnetic device that converts or transmits electrical energy according to the law of electromagnetic induction. Its main function is to generate driving torque as a power source for electrical appliances or various machines. Large-scale measurement and control antennas generally use a parabolic structure as the main reflector, with a diameter of ten meters or even more than sixty meters. The servo motor drives the antenna reflector to rotate. When tracking spacecraft such as low-Earth orbit satellites, the long-term operation of the motor and frequent acceleration and deceleration can easily cause the loss of its mechanical and electrical structure, thereby causing motor failure and affecting the execution of space missions.

[0003] During the use of the motor, due to external or internal factors, the motor will inevitably have various faults such as slow and weak speed, loud noise during motor operation, overheating of the body, etc. Therefore, personnel are required to conduct regular inspections. Although the cause of the fault can be found after disassembling the motor, if there are a large number of motors and if the motor is used in a special scenario and is not convenient to disassemble, it is impossible to quickly diagnose the motor fault and ensure the normal operation of related equipment, which has certain limitations. Summary of the invention

[0004] The purpose of the present invention is to provide a method for diagnosing and screening fault characteristics of a measurement and control antenna motor, aiming to solve the problem that the fault cannot be diagnosed and predicted without disassembling the motor.

[0005] To achieve the above object, the technical solution adopted by the present invention is: to provide a method for diagnosing and screening fault characteristics of a measurement and control antenna motor, comprising: Model the antenna, motor and the transmission system between them and clarify the working efficiency of the transmission system; Adding each model after modeling to the host computer, and simulating the external environment at the antenna in real time in the host computer; When a command for driving the antenna to change its posture is issued, the command is transmitted to the host computer, a standard simulation of the model posture is performed in the host computer, and the actual movement of the antenna is compared with the standard simulation to analyze the difference between the two during the movement process; The possible fault types of the motor are inferred by combining big data and a preset fault type library.

[0006] In a possible implementation, clarifying the working efficiency of the transmission system includes: Specifying the working load of the motor when the motor is not faulty; The gravity parameters and material coefficients are set according to the actual situation so that the model and the actual component have the same physical parameters.

[0007] In a possible implementation, simulating the external environment at the antenna in real time in the host computer includes: The model in the host computer is placed under the same external environmental parameters as the actual ones, ensuring that the working load of the motor under different environmental parameters is the same as the actual ones.

[0008] In a possible implementation, the performing of the standard simulation of the model posture in the host computer includes: The control information of the motor in the instruction is read out, and the model is driven to perform the same operation according to the control information. The time, amplitude and acceleration of the posture change of the model, as well as the standard voltage and current during operation are recorded to infer the working efficiency of the model.

[0009] In a possible implementation manner, comparing the actual action of the antenna with the standard simulation includes: The stress-strain states of the antenna and the transmission system, as well as the transmission system and the motor during the movement of the antenna are recorded in real time, and the obtained stress-strain states are compared with those of corresponding positions in the model to ensure that the working conditions and workloads are the same.

[0010] In a possible implementation, comparing the actual movement of the antenna with the standard simulation and analyzing the difference between the two during the movement process includes: The actual action of the antenna is processed digitally, and by comparing the antenna at the same time point and position with the model, the cause of the difference between the two is analyzed and the fault type of the motor is inferred.

[0011] In a possible implementation manner, the comparing the antenna at the same time point and position with the model includes: The differences among the antenna vibration, too fast, too slow, unstable speed, delayed starting point of motion and too low efficiency are clarified, and the extent of the motor failure is determined based on the comparison between the actual situation and the standard simulation.

[0012] In a possible implementation, comparing the actual movement of the antenna with the standard simulation and analyzing the difference between the two during the movement process includes: Before the command is issued, the motion of the model under different fault conditions is simulated in the host computer, and the simulated conditions are compared with the simulated conditions of the motion when there is no fault, and the differences are recorded.

[0013] In a possible implementation, the possible fault types of the motor are inferred by combining big data and a preset fault type library, including: The standard simulation and the actual movement of the antenna are uploaded, and the possible fault states and types of the current motor are analyzed and deduced based on the various fault states of the motor and the corresponding influence of the movement states in the big data.

[0014] In a possible implementation, the possible fault types of the motor are inferred by combining big data and a preset fault type library, including: The model is used to remotely monitor a plurality of the motors, and to preview and warn of faults in advance, thereby achieving accurate remote testing of the motors without disassembly.

[0015] The beneficial effect of the fault feature diagnosis and screening method of the measurement and control antenna motor provided by the present invention is that: compared with the prior art, the fault feature diagnosis and screening method of the measurement and control antenna motor provided by the present invention first models the antenna, the motor and the transmission system therebetween to clarify the working efficiency of the transmission system. Then, each model after modeling is added to the host computer, and the external environment at the antenna is simulated in real time in the host computer.

[0016] In actual application, when the command to drive the antenna posture change is issued, the command is transmitted to the host computer, and the standard simulation of the model posture is performed in the host computer. The actual movement of the antenna is compared with the standard simulation to analyze the difference between the two during the movement. This application reads the command in the host computer and simulates the posture of the antenna in the actual external environment, and finally combines big data and a preset fault type library to infer the possible fault type of the motor. It has high efficiency and accuracy. More importantly, it can diagnose motor faults without disassembling the motor. It has strong applicability and great technical advantages. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flow chart of a method for diagnosing and screening fault characteristics of a measurement and control antenna motor provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0020] See also Figure 1 The method for diagnosing and screening fault characteristics of a measurement and control antenna motor provided by the present invention is now described. The method for diagnosing and screening fault characteristics of a measurement and control antenna motor comprises: Model the antenna, motor, and the transmission system between them to clarify the working efficiency of the transmission system; Add the modeled models to the host computer, and simulate the external environment at the antenna in real time in the host computer; When the command to drive the antenna to change its posture is issued, the command is transmitted to the host computer, and a standard simulation of the model posture is performed in the host computer. The actual movement of the antenna is compared with the standard simulation to analyze the difference between the two during the movement process; Combining big data and the preset fault type library, the possible fault types of the motor can be inferred.

[0021] The beneficial effect of the fault feature diagnosis and screening method of the measurement and control antenna motor provided by the present invention is that: compared with the prior art, the fault feature diagnosis and screening method of the measurement and control antenna motor provided by the present invention first models the antenna, the motor and the transmission system therebetween to clarify the working efficiency of the transmission system. Then, each model after modeling is added to the host computer, and the external environment at the antenna is simulated in real time in the host computer.

[0022] In actual application, when the command to drive the antenna posture change is issued, the command is transmitted to the host computer, and the standard simulation of the model posture is performed in the host computer. The actual movement of the antenna is compared with the standard simulation to analyze the difference between the two during the movement. This application reads the command in the host computer and simulates the posture of the antenna in the actual external environment, and finally combines big data and a preset fault type library to infer the possible fault type of the motor. It has high efficiency and accuracy. More importantly, it can diagnose motor faults without disassembling the motor. It has strong applicability and great technical advantages.

[0023] Motor failure refers to abnormalities or damage that occur during the operation of the motor, causing it to fail to work properly or performance degradation. Common reasons include circuit problems, insulation failures, mechanical problems, temperature problems, etc. The detection and diagnosis of motor failures are crucial for the maintenance and repair of motor equipment. Faults can be discovered in time and appropriate repair measures can be taken to avoid further damage or increased downtime.

[0024] In some embodiments of the method for diagnosing and screening fault characteristics of a measurement and control antenna motor provided in the present application, clarifying the working efficiency of the transmission system includes: Determine the working load of the motor when the motor is not faulty; The gravity parameters and material coefficients are set according to the actual situation so that the model has the same physical parameters as the actual component.

[0025] Traditional motor fault diagnosis methods are relatively general and can only detect general motor current signals. There is a lack of effective means to filter out fault feature information from the large amount of redundant information collected. In particular, when the measurement and control antenna tracks satellites, the self-test preparation and tracking process are complicated, the motor often works in a state of rapid acceleration and deceleration, and the current signal changes dramatically, which can easily cause false fault reports. Moreover, when the measurement and control antenna tracks satellites, it is affected by the satellite attitude and the direction of the satellite-to-earth antenna. The satellite downlink signal AGC received by the measurement and control antenna often fluctuates greatly, resulting in unstable tracking of the satellite by the measurement and control antenna. The motor current changes dramatically, which can also easily cause false motor fault reports and missed reports, and the reliability of fault diagnosis is not high.

[0026] Traditional motor fault detection methods usually include: visual inspection, temperature detection, and vibration detection. Traditional motor fault detection methods can help detect motor faults to a certain extent, but because they rely on manual subjective judgment or can only provide limited information, their accuracy and efficiency are limited. The actual situation is that the motor drives the antenna to rotate. Since there must be transmission mechanisms such as gears between the motor and the antenna, the existence of these transmission mechanisms will inevitably affect the detection and screening of motor faults. Therefore, the use of traditional methods has certain limitations.

[0027] In summary, the prior art has technical problems in that the accuracy and efficiency of motor fault detection are low.

[0028] In some embodiments of the method for diagnosing and screening fault characteristics of a measurement and control antenna motor provided in the present application, the external environment at the antenna is simulated in real time in the host computer, including: Make the model in the host computer be under the same external environmental parameters as the actual one, and ensure that the motor's workload under different environmental parameters is the same as the actual one.

[0029] Based on the above reasons, how to judge the state of the motor in the running state, and more importantly, to judge the possible faults of the motor through the running state of the motor, so as to clarify whether the motor has a fault and the type of fault.

[0030] It should be pointed out that traditional motor fault detection is performed with the motor disassembled. In order to improve the accuracy of the final result, the motor needs to be disassembled and then the components that may have problems in the motor need to be checked one by one. Although this method can accurately identify and locate the motor fault, it is impossible to disassemble and check each motor one by one for some special and important occasions and when a large number of motors are used.

[0031] In response to the above situation, it is necessary to design a method that can detect motor faults without disassembling the motor. This method needs to be combined with the current weather conditions and the operating status of the antenna connected to the motor transmission, and ultimately effectively identify the status of the motor, while recording and analyzing information such as the motor's power and power consumption.

[0032] In some embodiments of the method for diagnosing and screening fault characteristics of a measurement and control antenna motor provided in the present application, performing a standard simulation of a model posture in a host computer includes: Read the control information of the motor in the instruction, drive the model to perform the same operation according to the control information, record the time, amplitude and acceleration of the model's posture change, as well as the standard voltage and current during operation, and infer the model's working efficiency.

[0033] The existing method of non-disassembly fault detection of motors is to judge the faults based on their operating conditions and states. However, this method is not intuitive and has large errors because the states of the motors in different external environments may also be different.

[0034] In order to solve this problem in this application, it is first necessary to model the antenna and the motor, and to clarify the transmission mechanism between the motor and the antenna and the current state of the transmission mechanism. If necessary, the transmission mechanism needs to be modeled, and at the same time, the friction condition and efficiency of the current transmission mechanism need to be determined through advance trial operation.

[0035] After the above situation is created, it is necessary to create quality parameters for the model. The ultimate goal of the quality parameters is to make the model have the same physical properties as the actual object, and to use cameras and sensors such as displacement and angle to clarify the movement of the antenna in real time and realize digital twins.

[0036] In some embodiments of the method for diagnosing and screening fault characteristics of a measurement and control antenna motor provided in the present application, comparing the actual action of the antenna with the standard simulation includes: The stress-strain state of the antenna, the transmission system, and the transmission system and the motor during the movement of the antenna is recorded in real time, and the obtained stress-strain state is compared with that of the corresponding position in the model to ensure that the working state and workload are the same.

[0037] By creating a model and making it have the same acceleration and running direction as the actual antenna, it is more intuitive that multiple sensors need to be coordinated to accurately determine the current movement of the antenna. Once the movement is determined, it will be simulated in the model in real time. The purpose of creating the model is to facilitate real-time monitoring of the antenna to determine the current posture, and on the other hand, it is necessary to simulate and compare in the host computer to speculate on the fault and status of the motor.

[0038] Because in this application, it is necessary to issue an instruction first, which controls the direction and speed of the motor, and finally realizes the change of the antenna posture. That is, the instruction contains the judgment of the final position of the antenna, and the instruction contains the time required for the antenna posture adjustment. This is an ideal situation, and this ideal situation is that the motor is in a normal state. However, due to different external environments and other reasons, there is a certain difference between the expected effect and the actual situation. This difference is due to the influence of the motor and the neglect of the external environment.

[0039] In some embodiments of the method for diagnosing and screening fault characteristics of a measurement and control antenna motor provided in the present application, the actual movement of the antenna is compared with the standard simulation to analyze the difference between the two during the movement process, including: The actual action of the antenna is digitized, and by comparing the antenna and the model at the same time and position, the cause of the difference between the two is analyzed and the type of motor fault can be inferred.

[0040] The volume and surface area of ​​the antenna itself are large. When the external environment is different, the resistance encountered when the antenna posture changes will be different, and this difference will eventually cause the operating state of the motor to change. Therefore, in the actual detection process, it is necessary to detect the current external environment in real time. The most important thing is to detect parameters such as wind speed, wind direction, temperature and humidity on the day. Not only that, the antenna movement speed and acceleration will have different effects on it when corresponding to different external environments. Therefore, it is necessary to simulate the detected external environment parameters in real time in the model of the host computer so that the model environment is in the same state as the actual antenna.

[0041] In order to improve the accuracy of the data, multiple stress and strain sensors are installed between the antenna and the motor or on the transmission mechanism between the two. The data fed back by the stress and strain sensors can further verify the relationship between the antenna movement and the external environment on the motor. This relationship needs to be verified at the corresponding position of the model.

[0042] Once the above situation is determined, the actual operation of the antenna can be compared with the simulation in the host computer. Through comparison, the difference between the two can be determined and the state of the motor can be finally analyzed.

[0043] In some embodiments of the method for diagnosing and screening fault characteristics of a measurement and control antenna motor provided in the present application, the comparison between the antenna and the model at the same time point and position includes: Identify the differences between antenna vibration, too fast, too slow, unstable speed, delayed starting point of motion and too low efficiency, and determine the extent of the motor failure based on the comparison between actual and standard simulation.

[0044] In this application, a proportional model is first created based on the antenna, motor and the transmission mechanism between the two. This model has the same physical properties as the actual one, such as weight, and the detected external environmental parameters are fed back to the host computer in real time, so that the model has the same environmental state as the outside. More importantly, through the cooperation of multiple stress sensors and the current instructions, the changes of the model can eventually be exactly the same as the actual movement situation and have strong real-time performance.

[0045] When the above conditions are confirmed, the current instructions are compared with the actual operation of the antenna. That is, after the instructions are issued, the upper computer simulates the attitude changes of the antenna model under ideal conditions and external environments, and then compares the simulation results with the actual changes of the antenna. Based on the difference between the two, as well as the various motion parameters and motor efficiency during the actual antenna attitude change, the motor fault is finally judged.

[0046] In some embodiments of the method for diagnosing and screening fault characteristics of a measurement and control antenna motor provided in the present application, the actual movement of the antenna is compared with the standard simulation to analyze the difference between the two during the movement process, including: Before the command is issued, the movement of the model under different fault conditions is simulated in the host computer, and the simulated situation is compared with the simulation of the movement when there is no fault, and the difference is recorded.

[0047] For a more detailed explanation, first of all, only the motor can drive the antenna to rotate. Different motor failures will lead to different operating states of the antenna under different external environments. By comparing the model with the actual antenna motion state, combined with information such as motor voltage and current and data fed back by related sensors, the working state of the motor can eventually be inferred.

[0048] In order to explain in more detail, it is first necessary to simulate different fault states of the motor before detection, because different faults have different driving conditions for the antenna. After the fault state simulation is completed and the motor voltage and current conditions under different faults are understood, it is necessary to continue to compare the model with the actual situation, and then judge the possible problems of the motor based on the comparison results.

[0049] In an embodiment, after a command is issued, the command is simultaneously issued to the host computer and the actual motor, and then the movement conditions of the two are compared in real time. The comparison includes the speed of the antenna movement, acceleration, the voltage, current and noise of the current motor, etc., and then the possible failure of the motor is inferred based on the difference.

[0050] In some embodiments of the method for diagnosing and screening fault characteristics of a measurement and control antenna motor provided in the present application, the possible fault types of the motor are inferred by combining big data and a preset fault type library, including: The standard simulation and the actual movement of the antenna are uploaded, and the possible fault states and types of the current motor are analyzed and deduced based on the various fault states of the motor and the corresponding impact of the movement states in the big data.

[0051] In this application, a model is created and a digital twin is realized. Specifically, when applied, the situation collected by the antenna can be simulated in real time in the host computer. When the command is issued, with the help of the powerful computing power of the host computer, the antenna swing posture under the ideal state is first predicted. After the prediction is completed, the real-time detection of the antenna posture swing and related stress data are fed back to the host computer, and the actual change situation is generated, and then the two situations are compared. The comparison includes external motion conditions, motor parameters, motor motion noise, etc.

[0052] Based on the above technical advantages, after the physical characteristics of the antenna are roughly clarified, the motors in different positions can be detected simultaneously in real time without disassembly. At this time, it is necessary to analyze and detect the resistance encountered when driving the antenna to move in different directions when the motor is not powered on. Once the resistance is clear, the working condition of the motor under different instructions is also determined. Then, combined with the external environment and the comparison of different simulated faults, the fault can be quickly determined and located.

[0053] In some embodiments of the method for diagnosing and screening fault characteristics of a measurement and control antenna motor provided in the present application, the possible fault types of the motor are inferred by combining big data and a preset fault type library, including: The model can be used to remotely monitor multiple motors, preview and warn of faults in advance, and achieve accurate remote testing of motors without disassembly.

[0054] In this application, the state of the antenna is digitally extracted, that is, the antenna state and posture changes in the host computer represent the actual state of the antenna. On this basis, the motion state of the model and related instructions are uploaded, and then analyzed through big data, that is, the motor state is determined and possible faults are speculated through big data, thereby realizing remote monitoring of the motor.

[0055] At this time, there is no need for on-site inspection by technical personnel. Through the cooperation of relevant scanning equipment and multiple sensors, the status of the motor can be remotely monitored with the help of the network, which is more timely.

[0056] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for diagnosing and screening fault characteristics of a measurement and control antenna motor, characterized in that: include: Model the antenna, motor and the transmission system between them and clarify the working efficiency of the transmission system; Adding each model after modeling to the host computer, and simulating the external environment at the antenna in real time in the host computer; When a command for driving the antenna to change its posture is issued, the command is transmitted to the host computer, a standard simulation of the model posture is performed in the host computer, and the actual movement of the antenna is compared with the standard simulation to analyze the difference between the two during the movement process; The possible fault types of the motor are inferred by combining big data and a preset fault type library.

2. The method for diagnosing and screening fault characteristics of a measurement and control antenna motor according to claim 1, characterized in that: The working efficiency of the transmission system described in the specification includes: Specifying the working load of the motor when the motor is not faulty; The gravity parameters and material coefficients are set according to the actual situation so that the model and the actual component have the same physical parameters.

3. The method for diagnosing and screening fault characteristics of a measurement and control antenna motor according to claim 2, characterized in that: The real-time simulation of the external environment at the antenna in the host computer includes: The model in the host computer is placed under the same external environmental parameters as the actual ones, ensuring that the working load of the motor under different environmental parameters is the same as the actual ones.

4. The method for diagnosing and screening fault characteristics of a measurement and control antenna motor according to claim 2, characterized in that: The standard simulation of the model posture in the host computer includes: The control information of the motor in the instruction is read out, and the model is driven to perform the same operation according to the control information. The time, amplitude and acceleration of the posture change of the model, as well as the standard voltage and current during operation are recorded to infer the working efficiency of the model.

5. The method for diagnosing and screening fault characteristics of a measurement and control antenna motor according to claim 2, characterized in that: The comparing the actual action of the antenna with the standard simulation comprises: The stress-strain states of the antenna and the transmission system, as well as the transmission system and the motor during the movement of the antenna are recorded in real time, and the obtained stress-strain states are compared with those of corresponding positions in the model to ensure that the working conditions and workloads are the same.

6. The method for diagnosing and screening fault characteristics of a measurement and control antenna motor according to claim 2, characterized in that: The actual movement of the antenna is compared with the standard simulation to analyze the difference between the two during the movement process, including: The actual action of the antenna is processed digitally, and by comparing the antenna at the same time point and position with the model, the cause of the difference between the two is analyzed and the fault type of the motor is inferred.

7. The method for diagnosing and screening fault characteristics of a measurement and control antenna motor according to claim 6, characterized in that: The comparing the antenna at the same time point and the same position with the model comprises: The differences among the antenna vibration, too fast, too slow, unstable speed, delayed starting point of motion and too low efficiency are clarified, and the extent of the motor failure is determined based on the comparison between the actual situation and the standard simulation.

8. The method for diagnosing and screening fault characteristics of a measurement and control antenna motor according to claim 2, characterized in that: The actual movement of the antenna is compared with the standard simulation to analyze the difference between the two during the movement process, including: Before the command is issued, the motion of the model under different fault conditions is simulated in the host computer, and the simulated conditions are compared with the simulated conditions of the motion when there is no fault, and the differences are recorded.

9. The method for diagnosing and screening fault characteristics of a measurement and control antenna motor according to claim 2, characterized in that: The possible fault types of the motor inferred by combining big data and a preset fault type library include: The standard simulation and the actual movement of the antenna are uploaded, and the possible fault states and types of the current motor are analyzed and deduced based on the various fault states of the motor and the corresponding influence of the movement states in the big data.

10. The method for diagnosing and screening fault characteristics of a measurement and control antenna motor according to claim 2, characterized in that: The possible fault types of the motor inferred by combining big data and a preset fault type library include: The model is used to remotely monitor a plurality of the motors, and to preview and warn of faults in advance, thereby achieving accurate remote testing of the motors without disassembly.

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