Torsional vibration sensor for intelligent operation and maintenance

Abstract

The utility model discloses a torsional vibration sensor for intelligent operation and maintenance, which is characterized by comprising a first position sensor, a second position sensor and a torsional vibration data processing module, the first position sensor and the second position sensor are respectively arranged at two positions of a rotating shaft of the motor to be measured, and the first position sensor and the second position sensor are used for measuring the shaft positions of the two positions of the rotating shaft; the first position sensor and the second position sensor are both electrically connected with the torque vibration data processing module, and the torque vibration data processing module processes information acquired by the first position sensor and the second position sensor to obtain target data. According to the torsional vibration sensor, the torsional degree and the vibration quantity of the rotating shaft are obtained by taking the position difference value, and data processing is more convenient.

Description

TECHNICAL FIELD

[0001] The utility model relates to a torsional vibration sensor technology field, concretely relates to a torsional vibration sensor for intelligent operation and maintenance. BACKGROUND

[0002] Torsional vibration of a transmission system is a type of mechanical vibration. Electromechanical torsional vibration not only causes damage to components of a rolling mill and endangers production, but also troubles other industries. In the field of intelligent manufacturing, electromechanical resonance affects the control performance and control accuracy of a robot. In the aspect of ship propulsion, electromechanical torsional vibration causes the breakage of connecting shafts and propeller shafts, etc., and brings about great noise and other hazards, seriously affecting the safe operation of a ship. In the traction of a high-speed train, electromechanical torsional vibration causes the wear of motor bearings, reduces the service life, and causes accidents such as the breakage of gearboxes, reduces the safety and reliability of train operation, and affects the comfort of passengers. Therefore, it is necessary to measure and control torsional vibration. Measurement mainly uses a torsional vibration sensor.

[0003] At present, conventional torsional vibration sensors on the market are divided into three categories. The first type directly measures torque and obtains torque vibration inertia through Fourier transform. The second type is an indirect measurement method, that is, a speed sensor is used to obtain real-time speed through a high-speed sampling rate, and the difference between the obtained speed and a set speed is obtained to calculate torsional vibration inertia. The third type is a double-speed sensor measurement method, that is, two identical speed sensors are placed at both ends of a driving shaft to calculate torsional vibration inertia through the speed difference.

[0004] The first type of direct torque measurement method has high cost and complex installation. The second type is simple to use, but has low precision, and it is difficult to implement as a post-reform upgrade method because the high-speed collected signals of the data collection of the equipment end are generally not shared with external data. The third type is simple to install, but the cost of a conventional speed sensor is high, and an additional high-cost data processing module is needed to realize the detection function.

[0005] Therefore, it is urgent to design a better torsional vibration measurement method or torsional vibration sensor. UTILITY MODEL CONTENT

[0006] In view of the above problems existing in the prior art, a torsional vibration sensor for intelligent operation and maintenance is provided.

[0007] The specific technical solution is as follows:

[0008] A torsional vibration sensor for intelligent operation and maintenance mainly comprises a first position sensor, a second position sensor, and a torque vibration data processing module.

[0009] The first position sensor and the second position sensor are respectively installed at two positions of a rotating shaft of a motor to be measured, and are used to measure the shaft positions of the two positions of the rotating shaft.

[0010] The first position sensor and the second position sensor are electrically connected with the torque vibration data processing module, and the torque vibration data processing module processes the information collected by the first position sensor and the second position sensor to obtain target data.

[0011] The first position sensor and the second position sensor can be optical position sensors or magnetic position sensors.

[0012] The first position sensor and the second position sensor can be optical position sensors or magnetic position sensors.

[0013] The first position sensor comprises a first light source, a first photoelectric sensor and a first gray scale color band.

[0014] The first gray scale color band is wrapped around the outer periphery of the rotating shaft, the first light source and the first photoelectric sensor are arranged on the same side of the first gray scale color band, the first light source is used to emit light source to the first gray scale color band, the first photoelectric sensor is used to collect the reflected light information of the first gray scale color band, and the first photoelectric sensor is electrically connected with the torque vibration data processing module.

[0015] The second position sensor is an optical position sensor, and the second position sensor comprises a second light source, a second photoelectric sensor and a second gray scale color band.

[0016] The second gray scale color band is wrapped around the outer periphery of the rotating shaft, the second light source and the second photoelectric sensor are arranged on the same side of the second gray scale color band, the second light source is used to emit light source to the second gray scale color band, the second photoelectric sensor is used to collect the reflected light information of the second gray scale color band, and the second photoelectric sensor is electrically connected with the torque vibration data processing module.

[0017] The first photoelectric sensor and the second photoelectric sensor collect data, and the collected gray scale values are calibrated according to 0-100-0 analog quantity, wherein 0 corresponds to the position of the shaft at 0° angle, 100 corresponds to the position of the shaft at 180° angle, and 0 corresponds to the position of the shaft at 360° angle, i.e. back to 0° angle, and the 0-100-0 analog quantity range can be collected.

[0018] The torsional vibration sensor for intelligent operation and maintenance has the following characteristics,

[0019] The first position sensor is a magnetic position sensor, and the first position sensor comprises a first magnet ring and a first Hall sensor.

[0020] The second position sensor is a magnetic position sensor, and the second position sensor comprises a second magnet ring and a second Hall sensor.

[0021] The first Hall sensor and the second Hall sensor are electrically connected to the torque vibration data processing module.

[0022] The torsional vibration sensor for intelligent operation and maintenance has the following characteristics,

[0023] The torque vibration data processing module comprises a differential amplifier.

[0024] The first photoelectric sensor and the second photoelectric sensor are electrically connected to the differential amplifier, and the differential amplifier can obtain target data Δa by subtracting the first photoelectric sensor and the second photoelectric sensor.

[0025] Or

[0026] The first Hall sensor and the second Hall sensor are electrically connected to the differential amplifier, and the differential amplifier can obtain target data Δa by subtracting the first Hall sensor and the second Hall sensor.

[0027] The torsional vibration sensor for intelligent operation and maintenance has the following characteristics, the torque vibration data processing module comprises a differential amplifier, the first photoelectric sensor is electrically connected to the differential amplifier, and the differential amplifier can measure the speed of the rotating shaft.

[0028] The torsional vibration sensor for intelligent operation and maintenance has the following characteristics, the torque vibration data processing module further comprises a reference source and a comparator, the reference source is electrically connected to the comparator, the differential amplifier is electrically connected to the comparator, and the comparator can obtain alarm information by comparing the torque vibration quantity output by the differential amplifier and the reference source.

[0029] The technical scheme has the following positive effects:

[0030] The utility model provides a kind of torsional vibration sensor for intelligent operation and maintenance, three kinds in measurement principle and background technology are different, low-cost double position sensor is used as measuring element, and the torsion degree and vibration amount of rotating shaft itself are obtained by the difference value of position, and data processing is more convenient.The mode is lower in cost, and installation is simple, in addition to can be used in the feedback of torsional vibration algorithm of frequency converter, can also be used in motor detection and alarm and other related fields as independent unit with intelligent operation and maintenance system.The specific speaking, can directly measure delta a, need not do additional processing, therefore measurement precision is higher, simultaneously using low-cost motor position sensor and torque vibration processing module can reduce system cost.The system can conveniently and frequency converter, internet of things platform and other systems interact to reach the purpose of intelligent operation and maintenance. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 It is total structure schematic diagram for the torsional vibration sensor for intelligent operation and maintenance provided by the utility model;

[0032] Figure 2 It is embodiment structure schematic diagram for the torsional vibration sensor for intelligent operation and maintenance provided by the utility model;

[0033] Figure 3 It is calibration schematic diagram of gray scale ribbon;

[0034] Figure 4 It is the waveform diagram of torque vibration amount that difference amplifier does difference output to two photoelectric sensors;

[0035] Figure 5 It is embodiment structure schematic diagram for another torsional vibration sensor for intelligent operation and maintenance provided by the utility model;

[0036] Figure 6 It is connection structure schematic diagram for the torsional vibration sensor for intelligent operation and maintenance provided by the utility model and frequency converter;

[0037] Figure 7 It is connection structure schematic diagram for the torsional vibration sensor for intelligent operation and maintenance provided by the utility model and VCB cabinet;

[0038] Figure 8 It is structure schematic diagram for the torsional vibration sensor for intelligent operation and maintenance provided by the utility model and local internet of things platform.

[0039] In the accompanying drawings: 1. First position sensor; 111. First light source; 121. First photoelectric sensor; 131. First grayscale band; 141. First magnet ring; 151. First Hall sensor; 212. Second light source; 2. Second position sensor; 222. Second photoelectric sensor; 232. Second grayscale band; 242. Second magnet ring; 252. Second Hall sensor; 3. Rotating shaft; 4. Torque vibration data processing module; 41. Differential amplifier; 42. Differential amplifier; 43. Reference source; 44. Comparator; 5. Motor to be measured; 6. Frequency converter; 7. VCB cabinet; 8. Local Internet of Things platform; 9. Cloud service. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below through embodiments and in conjunction with the accompanying drawings. 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.

[0041] The serial numbers assigned to the components herein, such as "first", "second", etc., are only used to distinguish the objects described and do not have any order or technical meaning. The "connection" and "coupling" mentioned in this application, unless otherwise specified, include direct and indirect connections (couplings). In the description of the present utility model, it should be understood that the orientation or position relationship indicated by the terms "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", etc. are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present utility model and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present utility model.

[0042] In the present invention, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediary. Furthermore, when a first feature is "above," "above," or "above" a second feature, it may mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is "below," "below," or "below" a second feature, it may mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is at a lower level than the second feature.

[0043] See also Figures 1 to 5 Before describing the torsional vibration sensor for intelligent operation and maintenance of the present invention, the basic measurement principle of the new torsional vibration sensor for intelligent operation and maintenance is first introduced.

[0044] For the rotating shaft 3, the torque can also be calculated by the relative torsion angle. The basic principle of the new torsional vibration sensor for intelligent operation and maintenance is based on the following calculation formula (formula 1)

[0045]

[0046] Where T is the shaft distance, GJz is the torsional stiffness, Δa is the relative torsion angle (position difference), L is the shaft length between the two measurement sections. GJz and L are known quantities. T and Δa are proportional.

[0047] The third double-speed sensor measurement method (double-speed sensor measurement method) mentioned in the background art is similar to the above formula, but Δa is replaced, as shown in formula 2:

[0048] Δa = ∫Δr(t)

[0049] Formula 2

[0050] Where Δr(t) is the speed difference of the two position sensors.

[0051] The double-speed sensor measurement method is based on a double-speed sensor, so the difference in speed needs to be integrated to obtain the relative torsion angle. Compared to this processing method, the new torsional vibration sensor for intelligent operation and maintenance provided by the utility model can directly measure Δa, with higher measurement accuracy. The torsional vibration sensor for intelligent operation and maintenance provided by the utility model is described in detail below.

[0052] The torsional vibration sensor for intelligent operation and maintenance provided by the utility model (torsional vibration sensor) comprises: a first position sensor 1, a second position sensor 2 and a torque vibration data processing module 4.

[0053] The first position sensor 1 and the second position sensor 2 are respectively arranged on the rotating shaft 3 of the motor to be measured 5 at two positions, and the first position sensor 1 and the second position sensor 2 are used to measure the shaft positions of the rotating shaft 3 at the two positions.

[0054] The first position sensor 1 and the second position sensor 2 are both electrically connected to the torque vibration data processing module 4, and the torque vibration data processing module 4 processes the information collected by the first position sensor 1 and the second position sensor 2 to obtain target data.

[0055] Wherein, the motor to be measured 5 and the motor drive shaft (rotating shaft 3) are the measurement objects, and are not components of the torsional vibration sensor;

[0056] The first position sensor 1 and the second position sensor 2 are mainly used to measure the shaft positions of the rotating shaft 3 of the motor to be measured 5 at two positions.

[0057] The installation distance of the first position sensor 1 and the second position sensor 2 corresponds to L (the axial length between the two measurement sections) in formula 1;

[0058] The information obtained by the first position sensor 1 and the second position sensor 2 is used to obtain target data by the torque vibration data processing module 4.

[0059] Optionally, in the embodiment, the first position sensor 1 and the second position sensor 2 can be optical position sensors or magnetic position sensors.

[0060] As shown in Figures 2 to 4 Optionally, in a specific embodiment, the first position sensor 1 is an optical position sensor, and the first position sensor 1 includes a first light source 111, a first photoelectric sensor 121, and a first gray scale color band 131.

[0061] The first gray scale color band 131 is wrapped around the outer periphery of the rotating shaft 3, the first light source 111 and the first photoelectric sensor 121 are arranged on the same side of the first gray scale color band 131, the first light source 111 is used to emit light source to the first gray scale color band 131, the first photoelectric sensor 121 is used to collect the reflected light information of the first gray scale color band 131, and the first photoelectric sensor 121 is electrically connected with the torque vibration data processing module 4.

[0062] The photoelectric sensor is a device for converting optical signals into electrical signals. Its working principle is based on the photoelectric effect. The photoelectric effect refers to the phenomenon that when light irradiates on some materials, the electrons of the materials absorb the energy of the photons and cause corresponding electric effect. According to different photoelectric effect phenomena, the photoelectric effect is divided into three types: external photoelectric effect, internal photoelectric effect and photovoltaic effect. Photoelectric devices include phototubes, photomultiplier tubes, photoresistors, photodiodes, photo transistors, photocells, etc. The performance and characteristic curves of photoelectric devices are analyzed.

[0063] Similarly, the second position sensor 2 is an optical position sensor, and the second position sensor 2 includes a second light source 212, a second photoelectric sensor 222, and a second gray scale color band 232.

[0064] The second gray scale color band 232 is wrapped around the outer periphery of the rotating shaft, the second light source 212 and the second photoelectric sensor 222 are arranged on the same side of the second gray scale color band 232, the second light source 212 is used to emit light source to the second gray scale color band 232, the second photoelectric sensor 222 is used to collect the reflected light information of the second gray scale color band 232, and the second photoelectric sensor 222 is electrically connected with the torque vibration data processing module 4.

[0065] The torque vibration data processing module 4 processes the information collected by the first photoelectric sensor 121 and the second photoelectric sensor 222 to obtain target data.

[0066] The measurement process of the torsional vibration sensor is as follows:

[0067] The outside of the first photoelectric sensor 1 is a closed environment, with no other light sources entering. The first light source 111 emits light that illuminates the first grayscale band 131 on the rotating shaft 3. The first grayscale band 131 absorbs the light signal, with the white portion reflecting more light and the black portion reflecting less light. The first photoelectric sensor 1 collects the reflection information on the first grayscale band 131 and calibrates the data (data collected by the first photoelectric sensor 121 and the second photoelectric sensor 222), assuming that the collected grayscale value is calibrated according to the analog value of 0-100-0. Where 0 corresponds to the axis position of 0°, 100 corresponds to the axis position of 180°, and 0 corresponds to the axis position of 360°, that is, returning to the 0° angle, the analog value range of 0-100-0 can be collected.

[0068] Data from the first position sensor 1 and the second position sensor 2 enters the torsional vibration data processing module 4, where it is processed and analyzed. Optionally, the torsional vibration data processing module 4 includes a differential amplifier 41, to which the first photoelectric sensor 1 and the second photoelectric sensor 2 are both electrically connected. The differential amplifier 41 performs a differential operation on the first photoelectric sensor 1 and the second photoelectric sensor 2 to obtain the target data Δa. The sensor structure and circuit design provided by the present invention allow for direct measurement of Δa without the need for additional processing, resulting in higher measurement accuracy. Furthermore, the use of low-cost position sensors and a torsional vibration processing module reduces system costs.

[0069] At the same time, the differential amplifier 41 of the torsional vibration data processing module 4 can also obtain a gain of The output value is the torque vibration, the waveform is as follows Figure 4 As shown, the frequency of the signal is the frequency of the torque vibration, and the amplitude is the intensity of the torque vibration.

[0070] Furthermore, since speed is the derivative of position, the speed of the rotating shaft 3 can be measured using a differential amplifier. Therefore, the torque vibration data processing module 4 includes a differential amplifier 42 , to which the first photoelectric sensor 1 is electrically connected. The differential amplifier 42 can measure the speed of the rotating shaft 3 .

[0071] The torque vibration data processing module 4 further comprises a reference source 43 and a comparator 44, the reference source 43 is electrically connected with the comparator 44, the differential amplifier 41 is electrically connected with the comparator 44, the comparator 44 compares the torque vibration quantity output by the differential amplifier 41 and the reference source 43 to obtain alarm information. When the vibration intensity is too high, an alarm signal can be output, and only an alarm module needs to be designed.

[0072] In general, the target data is one or more of the shaft torque vibration quantity, the alarm quantity, the speed quantity, the acceleration, the position quantity and the like.

[0073] As shown in Figures 3 to 5 Optionally, in another specific embodiment, the first position sensor 1 is a magnetic position sensor, the first position sensor 1 comprises a first magnet ring 141 and a first Hall sensor 151, the first magnet ring 141 is wrapped around the outer periphery of the rotating shaft 3, and the first Hall sensor 151 is aligned with the first magnet ring 141.

[0074] The second position sensor 2 is a magnetic position sensor, the second position sensor 2 comprises a second magnet ring 242 and a second Hall sensor 252, the second magnet ring 242 is wrapped around the outer periphery of the rotating shaft 13, and the second Hall sensor 252 is aligned with the second magnet ring 242.

[0075] The first Hall sensor 151 and the second Hall sensor 252 are electrically connected with the torque vibration data processing module 4.

[0076] The torque vibration data processing module 4 comprises a differential amplifier 41, the first Hall sensor 151 and the second Hall sensor 252 are electrically connected with the differential amplifier 41, and the differential amplifier 41 differentiates the first Hall sensor 151 and the second Hall sensor 252 to obtain target data Δa. Through the sensor structure and the circuit design provided by the utility model, Δa can be directly measured, and no additional processing is needed, so that the measurement accuracy is higher, and the use of low-cost position sensors and torque vibration processing modules can reduce the system cost.

[0077] Meanwhile, the differential amplifier 41 of the torque vibration data processing module 4 differentiates the first Hall sensor 151 and the second Hall sensor 252 to obtain a gain quantity, and the output value is a torque vibration quantity, and the waveform is as shown in Figure 4 The frequency of the signal is the frequency of the torque vibration, and the amplitude is the intensity of the torque vibration.

[0078] Further, based on the fact that the speed is the differential of the position, the speed of the rotating shaft 3 can be measured by a differential amplifier. Therefore, the torque vibration data processing module 4 comprises a differential amplifier 42, the first Hall sensor 151 is electrically connected with the differential amplifier 42, and the differential amplifier 42 can measure the speed of the rotating shaft 3.

[0079] The torque vibration data processing module 4 further comprises a reference source 43 and a comparator 44, the reference source 43 is electrically connected with the comparator 44, the differential amplifier 41 is electrically connected with the comparator 44, and the comparator 44 compares the torque vibration quantity output by the differential amplifier 41 and the reference source 43 to obtain alarm information. When the vibration intensity is too high, an alarm signal can be output, and only an alarm module needs to be designed.

[0080] In general, the target data is one or more of the shaft torque vibration quantity, the alarm quantity, the speed, the acceleration, the position quantity and the like.

[0081] The system can interact with a frequency converter, an Internet of Things platform and the like to achieve the purpose of intelligent operation and maintenance.

[0082] The torsional vibration sensor for intelligent operation and maintenance has different measurement principles and background technologies, adopts a low-cost double-position sensor as a measurement element, obtains the torsion degree and the vibration quantity of the rotating shaft 3 by taking the difference of the positions, and is convenient for data processing. The mode has lower cost and is simple to install, can be used for feedback of a torsional vibration algorithm of a frequency converter, and can be applied to motor detection and alarm and the like in the related field as an independent unit in cooperation with an intelligent operation and maintenance system. Specifically, △a can be directly measured without additional processing, and therefore the measurement precision is higher, and the use of a low-cost motor position sensor and a torque vibration processing module can reduce the system cost.

[0083] The torsional vibration sensor can interact with a frequency converter, an Internet of Things platform and the like to achieve the purpose of intelligent operation and maintenance. Of course, the torsional vibration sensor can also be applied to more scenes, which are only enumerated and are not used for limiting the utility model.

[0084] Please refer to Figure 6 The torsional vibration sensor is connected with the frequency converter, the torsional vibration sensor is used as a feedback system of the frequency converter 6, cooperates with the frequency converter 6 to integrate a torsional vibration suppression algorithm such as a virtual damping method, can effectively suppress shaft system vibration, enhances the robustness of the frequency converter 6 and the reliability of an electrical system, and reduces the possibility of motor shaft breakage. Compared with the original indirect processing mode using the speed, the precision is higher, and the feedback is more accurate.

[0085] Please refer toFigure 7 The torsional vibration sensor is directly connected with the VCB cabinet 7 (motor control switch), and when the torsional vibration sensor exceeds a preset threshold, the power supply is directly cut off to prevent the motor shaft from being broken and causing more serious damage.

[0086] Please refer to Figure 8 The torsional vibration sensor is connected to the local Internet of Things platform 8, and the local Internet of Things platform 8 is connected with the cloud service 9; through the torsional vibration sensor, factual data of motor torsional vibration are sent to the Internet of Things platform 8 in real time, and the motor torsional vibration state is monitored in real time. At the same time, through long-term data recording, the possibility of the motor shaft being broken is found and predicted, and the purpose of intelligent operation and maintenance is achieved.

[0087] The technical features of the above embodiments can be combined in any manner, and to make the description concise, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

[0088] The above embodiments only express several implementation manners of the present application, the description is more specific and detailed, but it should not be understood as the limitation of the patent scope of the present application. It should be pointed out that for ordinary skilled in the art, on the premise of not departing from the concept of the present application, a number of modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the protection scope of the present application patent should be subject to the appended claims.

Claims

1. A torsional vibration sensor for intelligent operation and maintenance, characterized in that: include: a first position sensor, a second position sensor, and a torque vibration data processing module; The first position sensor and the second position sensor are respectively installed at two positions of the rotating shaft of the motor to be measured, and the first position sensor and the second position sensor are used to measure the shaft positions of the two positions of the rotating shaft; The first position sensor and the second position sensor are both electrically connected to the torque vibration data processing module, and the torque vibration data processing module processes the information collected by the first position sensor and the second position sensor to obtain target data.

2. The torsional vibration sensor for intelligent operation and maintenance according to claim 1, characterized in that: The first position sensor and the second position sensor may be optical position sensors or magnetic position sensors.

3. The torsional vibration sensor for intelligent operation and maintenance according to claim 2, characterized in that: The first position sensor is an optical position sensor, and the first position sensor includes a first light source, a first photoelectric sensor and a first grayscale color band; The first grayscale ribbon is wrapped around the outer circumference of the rotating shaft, the first light source and the first photoelectric sensor are arranged on the same side of the first grayscale ribbon, the first light source is used to emit light to the first grayscale ribbon, the first photoelectric sensor is used to collect reflected light information of the first grayscale ribbon, and the first photoelectric sensor is electrically connected to the torque vibration data processing module; The second position sensor is an optical position sensor, and the second position sensor includes a second light source, a second photoelectric sensor and a second grayscale strip; The second grayscale ribbon is wrapped around the outer circumference of the rotating shaft, the second light source and the second photoelectric sensor are arranged on the same side of the second grayscale ribbon, the second light source is used to emit light to the second grayscale ribbon, the second photoelectric sensor is used to collect reflection information of the second grayscale ribbon, and the second photoelectric sensor is electrically connected to the torque vibration data processing module.

4. The torsional vibration sensor for intelligent operation and maintenance according to claim 3, characterized in that: The data collected by the first photoelectric sensor and the second photoelectric sensor are calibrated. It is assumed that the collected grayscale values ​​are calibrated according to the analog value of 0-100-0, where 0 corresponds to the position of the axis as 0° angle, 100 corresponds to the position of the axis as 180° angle, and 0 corresponds to the position of the axis as 360° angle, that is, returning to 0° angle, and the analog value range of 0-100-0 can be collected.

5. The torsional vibration sensor for intelligent operation and maintenance according to claim 4, characterized in that: The first position sensor is a magnetic position sensor, comprising a first magnet ring and a first Hall sensor, wherein the first magnet ring is wrapped around the outer circumference of the rotating shaft, and the first Hall sensor is aligned with the first magnet ring; The second position sensor is a magnetic position sensor, comprising a second magnet ring and a second Hall sensor, wherein the second magnet ring is wrapped around the outer circumference of the rotating shaft, and the second Hall sensor is aligned with the second magnet ring; The first Hall sensor and the second Hall sensor are both electrically connected to the torque vibration data processing module.

6. The torsional vibration sensor for intelligent operation and maintenance according to claim 5, characterized in that: The torque vibration data processing module includes a differential amplifier; The first photosensor and the second photosensor are both electrically connected to the differential amplifier, and the differential amplifier performs a differential operation on the first photosensor and the second photosensor to obtain target data ∆a; or The first Hall sensor and the second Hall sensor are both electrically connected to the differential amplifier, and the differential amplifier performs a differential operation on the first Hall sensor and the second Hall sensor to obtain target data Δa.

7. The torsional vibration sensor for intelligent operation and maintenance according to claim 6, characterized in that: The torque vibration data processing module includes a differential amplifier. The first photoelectric sensor is electrically connected to the differential amplifier. The differential amplifier can measure the speed of the rotating shaft.

8. The torsional vibration sensor for intelligent operation and maintenance according to claim 6, characterized in that: The torque vibration data processing module also includes a reference source and a comparator. The reference source is electrically connected to the comparator, and the differential amplifier is electrically connected to the comparator. The comparator compares the torque vibration output by the differential amplifier with the reference source to obtain alarm information.

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