Machine tool remote diagnosis system and method based on digital twinning

Through the remote diagnosis system of machine tools based on digital twins, the problems of low efficiency and high cost of traditional machine tools diagnosis methods are solved, remote data acquisition and fault diagnosis are realized, and service efficiency and product quality are improved.

CN119511949AInactive Publication Date: 2025-02-25SHANDONG DESA BIG DATA CO LTD
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Patent Information

Application Number
CN202411367386.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-29
Publication Date
2025-02-25
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional machine tool diagnosis methods are inefficient and costly, especially in complex fault handling, requiring on-site diagnosis by experienced engineers, resulting in the impact of service efficiency and product quality.

Method used

The remote diagnosis system of machine tool based on digital twin is adopted, and the remote diagnosis system components and remote monitoring components are set up to realize remote data acquisition, fault diagnosis and maintenance recommendations, reducing the need for on-site diagnosis.

Benefits of technology

It improves service efficiency and diagnostic efficiency, reduces service costs, ensures the working efficiency and product quality of the machine tool, and extends the service life of the surveillance camera.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the technical field of equipment detection, and particularly relates to a machine tool remote diagnosis system and method based on digital twinning, and the system comprises a machine tool body, and the surface of the machine tool body is provided with a remote diagnosis system assembly. Through the arrangement of the remote diagnosis system assembly and the remote monitoring assembly, an engineer can remotely collect data in the machine tool, carry out fault diagnosis on the data through the digital twin model processor, and analyze the operation state of the machine tool. The root cause of the problem is analyzed according to the fault diagnosis report presented by the digital twin model processor, methods of maintenance operation, part replacement, adjustment suggestion and the like are provided according to the root cause, the requirement that an engineer diagnoses the machine tool on site is not needed, the service efficiency and the diagnosis efficiency are greatly improved, the service cost is reduced, and the working efficiency is improved. Meanwhile, the working efficiency of the machine tool and the product quality are guaranteed.
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Description

Technical Field

[0001] The present invention belongs to the technical field of equipment detection, and specifically relates to a machine tool remote diagnosis system and method based on digital twins. Background Art

[0002] A machine tool based on digital twin refers to an intelligent manufacturing system that achieves real-time monitoring, fault diagnosis, performance optimization, and predictive maintenance by creating a virtual model (digital twin) of a physical machine tool. This virtual model accurately reflects the status, behavior, and working environment of the actual machine tool. The machine tool system based on digital twin achieves comprehensive monitoring, intelligent analysis, and optimization of the machine tool through the combination of real-time data and virtual models, greatly improving production efficiency and equipment reliability.

[0003] The traditional diagnosis method for machine tools is generally to provide users with diagnostic assistance and guidance on how to diagnose orally or through instructions. When encountering complex faults, experienced engineers are required to diagnose the machine tool on site. This diagnosis method greatly reduces service efficiency and diagnosis efficiency, and increases service costs. On the other hand, it greatly affects the working efficiency and product quality of the machine tool. For this reason, the present invention provides a machine tool remote diagnosis system and method based on digital twins. Summary of the invention

[0004] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0005] The technical solution adopted by the present invention to solve its technical problem is: the machine tool remote diagnosis system and method based on digital twin described in the present invention comprises a machine tool body, a remote diagnosis system component is arranged on the surface of the machine tool body, a remote monitoring component is arranged inside the remote diagnosis system component, and a protective component is arranged on the outer surface of the remote monitoring component;

[0006] The remote diagnosis system component includes a control panel arranged on one side surface of the machine tool body, a display is arranged on the surface of the control panel, an operation panel is arranged on the surface of the control panel, a data box is arranged on one side surface of the control panel, a data acquisition card is arranged inside the data box, the data acquisition card is used to convert the transmission signal of each sensor into digital data, one side of the data acquisition card is electrically connected to a data recorder through a wire, the data recorder is used to store the digital data converted by the data acquisition card, a control board is fixedly installed inside the data box, a digital twin model processor is arranged on one side of the control board, the data recorder and the digital twin model processor are electrically connected to the control board, and the control panel is electrically connected to the components inside the data box;

[0007] The lower surface of the control panel is electrically connected to a data gateway through a wire. The data gateway is fixedly installed on the lower surface of the data box. The lower surface of the data gateway is provided with a wireless network module and a plurality of network cable interfaces.

[0008] As a preferred technical solution of the present application, one side surface of the data box is rotatably connected to a box door via a hinge, one side surface of the data box is provided with a heat dissipation groove, and one side surface of the heat dissipation groove is connected to a dustproof net via bolts.

[0009] As a preferred technical solution of the present application, the machine tool body includes a base arranged at the bottom, slide seats are arranged on both sides of the upper surface of the base, the upper surface of the slide seat is slidably connected with a slider, a column is fixedly installed on the side surface of the slider, and one side of the column is slidably connected with a spindle box.

[0010] As a preferred technical solution of the present application, a transmission assembly is arranged on the surface of the machine tool body, and the transmission assembly includes an acceleration sensor fixedly mounted on the upper surface of the slide, and temperature sensors are fixedly mounted on the surfaces of the slide and the spindle box.

[0011] As a preferred technical solution of the present application, a vibration sensor is fixedly installed on one side surface of the base, a sound sensor is fixedly installed on the side surface of the remote monitoring component, a pressure sensor is arranged inside the spindle box, and the transmission component is electrically connected to the data acquisition card.

[0012] As a preferred technical solution of the present application, the remote monitoring component includes a support frame fixedly mounted on the outer surface of the machine tool body, the inner top wall of the support frame is provided with a guide rail, the interior of the guide rail is provided with a transmission screw, a drive motor is fixedly mounted on one side surface of the support frame, and a transmission screw is fixedly mounted on the output end of the drive motor.

[0013] As a preferred technical solution of the present application, the outer surface of the transmission screw is threadedly connected with a sliding block, the lower surface of the sliding block is fixedly installed with a carrying box, the inner top wall of the carrying box is fixedly installed with an electric push rod, one end of the electric push rod is fixedly installed with a card frame, the internal rotation of the card frame is connected with a card shaft, the outer surface of the card shaft is fixedly installed with a monitoring camera via a connecting piece, and guide plates are fixedly installed on both side surfaces of the card frame.

[0014] As a preferred technical solution of the present application, a rotating motor is fixedly installed on the lower surface of the guide plate, a reducer is fixedly installed on the output end of the rotating motor, a clamping shaft is fixedly installed on the output end of the reducer, and the internal components of the remote monitoring assembly are electrically connected to the control board.

[0015] As a preferred technical solution of the present application, the protective component includes a first slide groove opened on one side surface of the carrying box, wherein the guide plate on one side is slidably connected to the inside of the first slide groove, a telescopic column is fixedly installed on the lower surface of the guide plate, a return spring is arranged inside the telescopic column, a tooth plate is fixedly installed on one end of the telescopic column, a gear is meshingly connected to the side surface of the tooth plate, a rotating shaft is fixedly installed inside the gear, a protective plate is fixedly installed on the outer surface of the rotating shaft through a clamping rod, and support members are rotatably connected to both sides of the outer surface of the rotating shaft, and the support members are fixedly installed on the side surface of the carrying box.

[0016] A method for using a machine tool remote diagnosis system based on digital twins, the method using a machine tool remote diagnosis system and method based on digital twins, comprising the following steps:

[0017] S1. On-site staff insert the network cable into the data gateway, so that engineers can perform remote diagnostic operations. The information sent by various actuators inside the actuator assembly is input into the data acquisition card. Then, through remote operation of the remote monitoring assembly, manual preliminary diagnosis is performed through the internal monitoring camera and the data recorded by the video is transmitted to the data acquisition card. Then, the digital data is stored through the data recorder;

[0018] S2, transmit the digital data in the data logger to the remote server through the wireless network module to ensure the real-time and integrity of the data and avoid data loss or delay;

[0019] S3, then input the digital data into the digital twin model processor, update the model status information, and adjust the model parameters according to the actual operation data to maintain the consistency between the model and the machine tool status;

[0020] S4. Compare the actual data with the expected data of the digital twin model processor, use statistical methods and algorithms to detect outliers, and apply machine learning and artificial intelligence algorithms, such as cluster analysis and anomaly detection algorithms, to identify potential abnormal patterns;

[0021] S5. Analyze the detected abnormal data and determine the possible cause and location of the fault in combination with the model output. Tools such as fault tree analysis (FTA) and failure mode and effect analysis (FMEA) should be used to help diagnose the specific fault type;

[0022] S6. Generate a detailed report containing fault description, impact assessment, root cause analysis, and then provide specific repair recommendations, including necessary maintenance operations, replacement parts and adjustment suggestions.

[0023] The beneficial effects of the present invention are as follows:

[0024] 1. The digital twin-based machine tool remote diagnosis system and method of the present invention, through the setting of remote diagnosis system components and remote monitoring components, engineers can remotely collect data inside the machine tool, perform fault diagnosis on the data through the digital twin model processor, and analyze the operating status of the machine tool. According to the fault diagnosis report presented by the digital twin model processor, the root cause of the problem is analyzed, and maintenance operations, replacement parts and adjustment suggestions are proposed according to the root cause. There is no need for engineers to go to the site to diagnose the machine tool, which greatly improves the service efficiency and diagnosis efficiency, reduces the service cost, and at the same time ensures the working efficiency and product quality of the machine tool;

[0025] 2. The digital twin-based machine tool remote diagnosis system and method of the present invention, through the setting of remote monitoring components and protection components, can start the driving motor to make the monitoring camera move horizontally, and start the rotating motor to make the monitoring camera rotate, so as to observe the machine tool in all directions. By starting the internal electric push rod to move the monitoring camera outward, the monitoring camera is put into working state. During the movement, the protective plate below rotates to avoid obstructing the movement of the monitoring camera. During the contraction process, the protective plate closes to protect the internal monitoring camera, reduce the damage to the monitoring camera when not in use, and increase the service life of the monitoring camera. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The present invention will be further described below in conjunction with the accompanying drawings.

[0027] Figure 1 is a first perspective stereogram of the present invention;

[0028] Figure 2 It is a second perspective front view of the present invention;

[0029] Figure 3 It is a schematic diagram of the local structure of the remote monitoring component in the present invention;

[0030] Figure 4 It is a schematic diagram of the structure of the protection component in the present invention;

[0031] Figure 5 It is a structural schematic diagram of the machine tool body in the present invention;

[0032] Figure 6 It is a first partial structural diagram of the remote diagnosis system component of the present invention;

[0033] Figure 7 is a second partial structural diagram of the remote diagnosis system component of the present invention;

[0034] Figure 8It is a third partial structural diagram of the remote diagnosis system component in the present invention.

[0035] In the figure: 1. Machine tool body; 101. Base; 102. Slide; 103. Slider; 104. Spindle box; 2. Remote diagnosis system components; 201. Control panel; 202. Display; 203. Operation panel; 204. Data acquisition card; 205. Data recorder; 206. Control panel; 207. Digital twin model processor; 208. Data gateway; 209. Wireless network module; 210. Network cable interface;

[0036] 3. Remote monitoring component; 301. Guide rail; 302. Transmission screw; 303. Drive motor; 304. Carrying box; 305. Electric push rod; 306. Monitoring camera; 307. Rotating motor; 308. Reducer;

[0037] 4. Protection assembly; 401. Telescopic column; 402. Return spring; 403. Tooth plate; 404. Gear; 405. Protection plate;

[0038] 5. Dust-proof net;

[0039] 6. Transmission assembly; 601. Acceleration sensor; 602. Temperature sensor; 603. Vibration sensor; 604. Sound sensor;

[0040] 7. Heat sink. DETAILED DESCRIPTION

[0041] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0042] The present invention provides a machine tool remote diagnosis system and method based on digital twin, such as Figure 1 - Figure 8 Embodiment 1 shown:

[0043] A machine tool remote diagnosis system and method based on digital twins, comprising a machine tool body 1, a remote diagnosis system component 2 is arranged on the surface of the machine tool body 1, a remote monitoring component 3 is arranged inside the remote diagnosis system component 2, and a protective component 4 is arranged on the outer surface of the remote monitoring component 3;

[0044] The remote diagnosis system component 2 includes a control panel 201 arranged on one side surface of the machine tool body 1, a display 202 is arranged on the surface of the control panel 201, an operation panel 203 is arranged on the surface of the control panel 201, a data box is arranged on one side surface of the control panel 201, a data acquisition card 204 is arranged inside the data box, the data acquisition card 204 is used to convert the transmission signal of each sensor into digital data, one side of the data acquisition card 204 is electrically connected to a data recorder 205 through a wire, the data recorder 205 is used to store the digital data converted by the data acquisition card 204, a control board 206 is fixedly installed inside the data box, a digital twin model processor 207 is arranged on one side of the control board 206, the data recorder 205 and the digital twin model processor 207 are electrically connected to the control board 206, and the control panel 201 is electrically connected to the components inside the data box;

[0045] The lower surface of the control board 206 is electrically connected to a data gateway 208 through a wire. The data gateway 208 is fixedly installed on the lower surface of the data box. A wireless network module 209 and a plurality of network cable interfaces 210 are provided on the lower surface of the data gateway 208 .

[0046] One side of the data box is rotatably connected to a box door via a hinge, a heat dissipation slot 7 is provided on one side of the data box, and a dustproof net 5 is connected to one side of the heat dissipation slot 7 via bolts.

[0047] In this embodiment: each sensor measures the data of the machine tool, and then transmits it to the inside of the data acquisition card 204, converts the signal into digital data and stores it through the data recorder 205, the control board 206 can control each component, the remote engineer accesses the inside of the control panel 201 through the wireless network module 209, remotely controls the remote monitoring component 3 through the control board 206, observes the surface of the airport through the internal monitoring camera 306, stores the video data to the inside of the data recorder 205 through the data acquisition card 204, transmits the data inside the data recorder 205 through the network cable interface 210, and then passes through the digital twin model processor 207, and then compares the actual data with the expected data of the digital twin model processor 207, analyzes the detected abnormal data, and determines the possible cause and location of the fault in combination with the model output, generates a detailed report including fault description, impact assessment, and root cause analysis, and then provides specific maintenance suggestions, including necessary maintenance operations, replacement parts and adjustment suggestions;

[0048] The components inside the data box will generate a lot of heat after long-term use. The heat is dissipated through the heat dissipation slots 7 on one side to cool the internal components. The dustproof net 5 on one side can filter dust and reduce dust falling on the surface of the components, thereby extending the service life of the components.

[0049] Embodiment 2:

[0050] On the basis of Example 1: the machine tool body 1 includes a base 101 arranged at the bottom, slides 102 are arranged on both sides of the upper surface of the base 101, the upper surface of the slide 102 is slidably connected with a slider 103, the side surface of the slider 103 is fixedly installed with a column, and one side of the column is slidably connected with a spindle box 104.

[0051] A transmission assembly 6 is disposed on the surface of the machine tool body 1 . The transmission assembly 6 includes an acceleration sensor 601 fixedly mounted on the upper surface of the slide 102 . Temperature sensors 602 are fixedly mounted on the surfaces of the slide 102 and the spindle box 104 .

[0052] A vibration sensor 603 is fixedly mounted on one side surface of the base 101, a sound sensor 604 is fixedly mounted on the side surface of the remote monitoring component 3, a pressure sensor is arranged inside the spindle box 104, and the transmission component 6 is electrically connected to the data acquisition card 204.

[0053] In this embodiment: the acceleration sensor 601 is set to monitor the acceleration of the machine tool and identify potential motion problems. The temperature sensor 602 is set to detect the temperature of the slide 102 and the spindle box 104 on the surface of the machine tool. The sound sensor 604 is set to capture the sound of the machine tool during operation for abnormal noise analysis. At the same time, the sound sensor 604 can move synchronously with the remote monitoring component 3 to analyze the sounds at different positions. The pressure sensor can measure the pressure in the hydraulic or pneumatic system. The vibration sensor 603 detects the vibration of the machine tool body 1 and identifies imbalance or faults. The acceleration sensor 601 is set to monitor the acceleration of the machine tool and can identify potential motion problems. The data detected by each sensor will be input into the data acquisition card 204.

[0054] Embodiment three:

[0055] On the basis of Example 1: the remote monitoring component 3 includes a support frame fixedly mounted on the outer surface of the machine tool body 1, a guide rail 301 is provided on the inner top wall of the support frame, a transmission screw 302 is provided inside the guide rail 301, a drive motor 303 is fixedly mounted on one side surface of the support frame, and a transmission screw 302 is fixedly mounted on the output end of the drive motor 303.

[0056] The outer surface of the transmission screw 302 is threadedly connected to a sliding block, a carrying box 304 is fixedly installed on the lower surface of the sliding block, an electric push rod 305 is fixedly installed on the inner top wall of the carrying box 304, a card frame is fixedly installed on one end of the electric push rod 305, the internal rotation of the card frame is connected to a card shaft, a monitoring camera 306 is fixedly installed on the outer surface of the card shaft through a connecting piece, and guide plates are fixedly installed on both side surfaces of the card frame.

[0057] A rotating motor 307 is fixedly mounted on the lower surface of the guide plate, a reducer 308 is fixedly mounted on the output end of the rotating motor 307, and a card shaft is fixedly mounted on the output end of the reducer 308. The internal components of the remote monitoring assembly 3 are all electrically connected to the control board 206.

[0058] In this embodiment: the engineer operates the control panel 201 remotely, and controls the internal components of the remote monitoring component 3 through the control panel 206, starts the drive motor 303 to drive the transmission screw 302 to rotate, so that the sliding block slides inside the guide rail 301 and drives the supporting box 304 below to move synchronously, and at the same time starts the electric push rod 305 to make the monitoring camera 306 move downward and leave the inside of the supporting box 304, and then starts the rotating motor 307 to drive the reducer 308 forward or reverse, and the reducer 308 then drives the card shaft to drive the monitoring camera 306 to rotate, thereby expanding the observation range of the monitoring camera 306, which is convenient for engineers to use remotely.

[0059] Embodiment 4:

[0060] On the basis of Example 3: the protection component 4 includes a first slide groove opened on the side surface of the carrying box 304, wherein a guide plate on one side is slidably connected to the inside of the first slide groove, a telescopic column 401 is fixedly installed on the lower surface of the guide plate, a return spring 402 is arranged inside the telescopic column 401, a tooth plate 403 is fixedly installed at one end of the telescopic column 401, a gear 404 is meshingly connected to the side surface of the tooth plate 403, a rotating shaft is fixedly installed inside the gear 404, a protective plate 405 is fixedly installed on the outer surface of the rotating shaft through a clamping rod, and support members are rotatably connected to both sides of the outer surface of the rotating shaft, and the support members are fixedly installed on the side surface of the carrying box 304.

[0061] In this embodiment: when the electric push rod 305 is started to move downward, it drives the guide plate to slide downward synchronously, and the guide plate drives the telescopic column 401 below to move synchronously, and the telescopic column 401 drives the tooth plate 403 below to move synchronously, and the movement of the tooth plate 403 causes the meshing gear 404 to rotate, and the rotation of the gear 404 causes the internal rotating shaft and drives the protection plate 405 to rotate through the clamping rod. After the protection plate 405 rotates two hundred and seventy degrees, it cannot rotate. At this time, the guide plate is still moving, causing the telescopic column 401 to contract and squeeze the internal reset spring 402, and the monitoring camera 306 moves outward normally. During the contraction process, the monitoring camera 306 contracts to the inside of the carrying box 304. At this time, the protection plate 405 performs a reset movement, thereby protecting the monitoring camera 306 and improving the service life of the monitoring camera 306.

[0062] On the basis of Embodiments 1 to 4, a method for using a machine tool remote diagnosis system based on digital twins is also provided, comprising the following steps:

[0063] S1. On-site staff inserts the network cable into the data gateway 208, so that engineers can perform remote diagnostic operations. The information sent by various actuators inside the actuator assembly 6 is input into the data acquisition card 204. Then, through remote operation of the remote monitoring assembly 3, a manual preliminary diagnosis is performed through the internal monitoring camera 306 and the data recorded by the video is transmitted to the data acquisition card 204. Then, the digital data is stored through the data recorder 205.

[0064] S2, transmitting the digital data in the data recorder 205 to the remote server through the wireless network module 209, ensuring the real-time and integrity of the data and avoiding data loss or delay;

[0065] S3, then input the digital data into the digital twin model processor 207, update the state information of the model, and adjust the model parameters according to the actual operation data to maintain the consistency between the model and the machine tool state;

[0066] S4. Compare the actual data with the expected data of the digital twin model processor 207, use statistical methods and algorithms to detect outliers, and apply machine learning and artificial intelligence algorithms, such as cluster analysis and anomaly detection algorithms, to identify potential abnormal patterns;

[0067] S5. Analyze the detected abnormal data and determine the possible cause and location of the fault in combination with the model output. Tools such as Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA) should be used to help diagnose the specific fault type.

[0068] S6. Generate a detailed report containing fault description, impact assessment, root cause analysis, and then provide specific repair recommendations, including necessary maintenance operations, replacement parts and adjustment suggestions.

[0069] The above-mentioned front, back, left, right, top and bottom are all based on the figures in the specification. Figure 1 As a benchmark, according to the person's observation perspective, the side of the device facing the observer is defined as the front, the left side of the observer is defined as the left, and so on.

[0070] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention 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 should not be understood as limiting the scope of protection of the present invention.

[0071] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A machine tool remote diagnosis system and method based on digital twin, comprising a machine tool body (1), characterized in that: A remote diagnosis system component (2) is arranged on the surface of the machine tool body (1), a remote monitoring component (3) is arranged inside the remote diagnosis system component (2), and a protection component (4) is arranged on the outer surface of the remote monitoring component (3); The remote diagnosis system component (2) comprises a control panel (201) arranged on a side surface of a machine tool body (1), a display (202) being arranged on the surface of the control panel (201), an operation panel (203) being arranged on the surface of the control panel (201), a data box being arranged on a side surface of the control panel (201), a data acquisition card (204) being arranged inside the data box, the data acquisition card (204) being used to convert transmission signals of various sensors into digital data, the data acquisition card (204) being used to convert transmission signals of various sensors into digital data, 04) is electrically connected to a data recorder (205) via a wire, the data recorder (205) is used to store digital data converted by a data acquisition card (204), a control board (206) is fixedly installed inside the data box, a digital twin model processor (207) is provided on one side of the control board (206), the data recorder (205), the digital twin model processor (207) and the control board (206) are electrically connected, and the control panel (201) is electrically connected to the components inside the data box; The lower surface of the control panel (206) is electrically connected to a data gateway (208) via a wire. The data gateway (208) is fixedly installed on the lower surface of the data box. The lower surface of the data gateway (208) is provided with a wireless network module (209) and a plurality of network cable interfaces (210).

2. The machine tool remote diagnosis system and method based on digital twin according to claim 1 is characterized in that: One side surface of the data box is rotatably connected to a box door via a hinge, one side surface of the data box is provided with a heat dissipation groove (7), and one side surface of the heat dissipation groove (7) is connected to a dustproof net (5) via bolts.

3. The machine tool remote diagnosis system and method based on digital twin according to claim 2 is characterized in that: The machine tool body (1) comprises a base (101) arranged at the bottom, slide seats (102) are arranged on both sides of the upper surface of the base (101), a slider (103) is slidably connected to the upper surface of the slide seat (102), a column is fixedly installed on the side surface of the slider (103), and a spindle box (104) is slidably connected to one side of the column.

4. The machine tool remote diagnosis system and method based on digital twin according to claim 1, characterized in that: A transmission assembly (6) is arranged on the surface of the machine tool body (1), and the transmission assembly (6) comprises an acceleration sensor (601) fixedly mounted on the upper surface of a slide seat (102), and temperature sensors (602) are fixedly mounted on the surfaces of the slide seat (102) and the spindle box (104).

5. The machine tool remote diagnosis system and method based on digital twin according to claim 4 is characterized in that: A vibration sensor (603) is fixedly mounted on one side surface of the base (101), a sound sensor (604) is fixedly mounted on the side surface of the remote monitoring component (3), a pressure sensor is arranged inside the spindle box (104), and the transmission component (6) is electrically connected to the data acquisition card (204).

6. The machine tool remote diagnosis system and method based on digital twin according to claim 1, characterized in that: The remote monitoring component (3) comprises a support frame fixedly mounted on the outer surface of the machine tool body (1); a guide rail (301) is arranged on the inner top wall of the support frame; a transmission screw (302) is arranged inside the guide rail (301); a drive motor (303) is fixedly mounted on one side surface of the support frame; and a transmission screw (302) is fixedly mounted on the output end of the drive motor (303).

7. The machine tool remote diagnosis system and method based on digital twin according to claim 6 is characterized in that: The outer surface of the transmission screw (302) is threadedly connected to a sliding block, a carrying box (304) is fixedly installed on the lower surface of the sliding block, an electric push rod (305) is fixedly installed on the inner top wall of the carrying box (304), a card frame is fixedly installed on one end of the electric push rod (305), the interior of the card frame is rotatably connected to a card shaft, a monitoring camera (306) is fixedly installed on the outer surface of the card shaft via a connecting piece, and guide plates are fixedly installed on both side surfaces of the card frame.

8. The machine tool remote diagnosis system and method based on digital twin according to claim 7 is characterized in that: A rotating motor (307) is fixedly mounted on the lower surface of the guide plate, a reducer (308) is fixedly mounted on the output end of the rotating motor (307), a clamping shaft is fixedly mounted on the output end of the reducer (308), and the internal components of the remote monitoring assembly (3) are all electrically connected to the control board (206).

9. The machine tool remote diagnosis system and method based on digital twin according to claim 8, characterized in that: The protection component (4) includes a first slide groove opened on one side surface of the carrying box (304), wherein the guide plate on one side is slidably connected to the inside of the first slide groove, a telescopic column (401) is fixedly installed on the lower surface of the guide plate, a return spring (402) is arranged inside the telescopic column (401), a tooth plate (403) is fixedly installed on one end of the telescopic column (401), the side surface of the tooth plate (403) is meshingly connected with a gear (404), a rotating shaft is fixedly installed inside the gear (404), a protective plate (405) is fixedly installed on the outer surface of the rotating shaft through a clamping rod, and support members are rotatably connected to both sides of the outer surface of the rotating shaft, and the support members are fixedly installed on the side surface of the carrying box (304).

10. A method for using a machine tool remote diagnosis system based on digital twins, the method adopting the machine tool remote diagnosis system and method based on digital twins according to claim 9, characterized in that: The following steps are involved: S1. On-site staff inserts the network cable into the data gateway (208), so that engineers can perform remote diagnostic operations. The information sent by various actuators inside the actuator assembly (6) is input into the data acquisition card (204). Then, through remote operation of the remote monitoring assembly (3), a manual preliminary diagnosis is performed through the internal monitoring camera (306) and the data recorded by the video is transmitted to the data acquisition card (204). Then, the digital data is stored through the data recorder (205); S2, transmitting the digital data in the data recorder (205) to the remote server through the wireless network module (209), ensuring the real-time and integrity of the data and avoiding data loss or delay; S3, inputting the digital data into the digital twin model processor (207), updating the state information of the model, and adjusting the model parameters according to the actual operation data to maintain the consistency between the model and the machine tool state; S4, comparing the actual data with the expected data of the digital twin model processor (207), using statistical methods and algorithms to detect outliers, and applying machine learning and artificial intelligence algorithms, such as cluster analysis and anomaly detection algorithms, to identify potential abnormal patterns; S5. Analyze the detected abnormal data and determine the possible cause and location of the fault in combination with the model output. Tools such as fault tree analysis (FTA) and failure mode and effect analysis (FMEA) should be used to help diagnose the specific fault type; S6. Generate a detailed report containing fault description, impact assessment, root cause analysis, and then provide specific repair recommendations, including necessary maintenance operations, replacement parts and adjustment suggestions.