Big data analysis efficient data acquisition equipment

The removable connection of the acceleration sensor is achieved through the cannula and helical gear mechanism, and the shock absorption mechanism and cloud data processing system are used to solve the problem of damage to the acceleration sensor in mechanical vibration, achieving more accurate data acquisition and analysis.

CN120379181AInactive Publication Date: 2025-07-25ZHONGGONG (ANHUI) IOT TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510545355.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-28
Publication Date
2025-07-25
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing acceleration sensors are prone to damage when mechanical equipment is vibrating and impacting, resulting in inaccurate measurement results.

Method used

A high-efficiency data acquisition device for big data analysis is designed to realize the removable connection of the acceleration sensor through the cannula and helical gear mechanism, and the shock absorbing mechanism is used to automatically switch to the shock absorbing state when vibrating. Combined with the cloud service platform and a multi-module data processing system, signal processing and data fusion are enhanced.

Benefits of technology

Effectively prevent the acceleration sensor from being damaged by mechanical vibration, improve measurement accuracy, and achieve more accurate mechanical vibration analysis and fault prediction through data processing systems.

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Abstract

The invention discloses efficient data acquisition equipment for big data analysis, and relates to the technical field of data acquisition, the efficient data acquisition equipment comprises a mounting plate and a data acquisition assembly used for analyzing the vibration condition of a mechanical surface, and the outer surface of the mounting plate is provided with a connecting assembly used for mounting the data acquisition equipment. According to the efficient data acquisition equipment for big data analysis, when an acceleration sensor body is used for detecting the operation condition of a machine, a connecting rod is inserted into a clamping groove, and two insertion pipes are inserted into two circular holes in the connecting rod respectively, so that the acceleration sensor body is connected with the external machine; when internal elements of the acceleration sensor body are affected by mechanical vibration, the connecting rod is moved out of the clamping groove, and the acceleration sensor body is automatically connected to the outer surfaces of the two damping mechanisms; the problem that in the prior art, when a data analysis efficient data acquisition device is used for detecting the vibration condition of a machine, abnormal vibration of the machine is likely to happen, and consequently the measurement result is inaccurate is solved.
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Description

Technical Field

[0001] The present invention relates to the technical field of data acquisition, and particularly to a high-efficiency data acquisition device for big data analysis. Background Art

[0002] In big data analysis, high-efficiency data acquisition devices refer to hardware devices and software systems that can collect various types of data in a high-speed and reliable manner. They are the first step in the big data analysis process. The quality and efficiency of the data directly affect the results of subsequent analysis. In big data analysis, the data collected by high-efficiency data acquisition devices is stored in a database for the convenience of subsequent information retrieval and analysis. The structural design of the database directly affects the retrieval efficiency and scalability.

[0003] Currently, in mechanical equipment, in order to comprehensively and accurately obtain the operation data of the equipment, various types of data will be generated during the operation of the mechanical equipment, such as temperature, pressure, vibration, current, and voltage. The high-efficiency data acquisition device for big data analysis can collect data from multiple dimensions simultaneously, comprehensively reflecting the operation status of the equipment. As a type of high-efficiency data acquisition device for big data analysis, the acceleration sensor can monitor the vibration of the mechanical equipment in real time. By analyzing the acceleration signal of the mechanical vibration and processing and analyzing the collected data, it can determine whether the mechanical equipment is in a normal operation state. However, since the machine is often accompanied by vibration and impact during operation, which interferes with the normal operation of the acceleration sensor. And during the installation of most existing acceleration sensors, in order to accurately detect the specific vibration of the machine, the acceleration sensor is often directly fixedly installed on the surface of the machine. As a result, when the vibration and impact force of the machine are abnormal, the internal structure of the acceleration sensor is strongly vibrated and damaged, which is likely to lead to inaccurate detection results of the acceleration sensor.

[0004] Therefore, we propose a high-efficiency data acquisition device for big data analysis to solve the problems raised above. Summary of the Invention

[0005] The purpose of the present invention is to provide a high-efficiency data acquisition device for big data analysis to solve the problem that the measurement results are inaccurate due to the abnormal vibration of the machine when using the high-efficiency data acquisition device for data analysis to detect the vibration of the machine as described in the above background art.

[0006] To achieve the above object, the present invention provides the following technical solutions: A high-efficiency data acquisition device for big data analysis, including a mounting plate and a data acquisition component for analyzing the vibration condition of the mechanical surface. A connection component for installing the data acquisition device is provided on the outer surface of the mounting plate. The connection component includes two insertion tubes. Threaded rods are threadedly connected inside both of the two insertion tubes. First bevel gears are fixedly sleeved on the portions of the two threaded rods away from the threads. Bearing frames are fixedly installed on the outer surface of the mounting plate near both side edges by screws. Drive rods are movably embedded inside both of the two bearing frames. Second bevel gears are fixed to one ends of the two drive rods. Drive gears are fixedly installed at the other ends of the two drive rods. A positive and negative motor is fixedly installed on the outer surface of the mounting plate near the top by an auxiliary plate. The output end of the positive and negative motor is fixedly connected to a drive tube. A belt is provided on the outer surface of the drive tube.

[0007] Preferably, a card slot is opened on the outer surface of the mounting plate near the center. One ends of the two insertion tubes both movably penetrate into the inside of the card slot. The opposite outer surfaces of the two insertion tubes are both slidably connected to the inner wall of the mounting plate. The outer surfaces of the two first bevel gears are respectively meshed with the outer surfaces of the two second bevel gears. The outer surfaces of the two drive gears are both movably connected to the outer surface of the belt. One end of the drive tube movably penetrates into the inside of the mounting plate.

[0008] Preferably, two shock-absorbing mechanisms for shock-absorbing the data acquisition device are provided on the outer surface of the mounting plate. Two telescopic rods are fixed on the outer surface of the mounting plate. First electromagnets are provided on the inner walls of the two telescopic rods.

[0009] Preferably, the data acquisition component includes an acceleration sensor body. A connecting rod is fixed near the center on the rear surface of the acceleration sensor body. First iron blocks are fixedly connected to both sides of the rear surface of the acceleration sensor body near the edges. Second iron blocks are fixedly connected to the opposite outer surfaces of the acceleration sensor body.

[0010] Preferably, positioning components for connecting with the acceleration sensor body are provided on the outer surfaces of the two shock-absorbing mechanisms. Both of the two positioning components include mounting frames. The outer surfaces of the two mounting frames are respectively fixedly connected to the outer surfaces of the two shock-absorbing mechanisms.

[0011] Preferably, rotating shafts are movably embedded between the opposite inner walls of the two mounting frames. Mounting sleeves are fixedly installed on the opposite outer surfaces of the two mounting frames by screws. Torsion springs are provided inside all four mounting sleeves. Every two adjacent ones of the four mounting sleeves form a group. Both ends of the two rotating shafts respectively movably penetrate to the opposite outsides of the two groups of mounting sleeves.

[0012] Preferably, every two adjacent ones of the four coil springs form a group. One ends of two groups of coil springs are fixedly connected to the outer surfaces of the two rotating shafts respectively. Stop bars are fixedly sleeved on the outer surfaces of the two rotating shafts, and second electromagnets are arranged on the inner walls of the two stop bars.

[0013] Preferably, a spring is arranged on the inner wall of the card slot. One end of the spring is provided with a pressing plate. The outer surface of the pressing plate is slidably connected to the inner wall of the card slot. One end of the spring is fixedly connected to the inner wall of the card slot, and the other end of the spring is fixedly connected to the outer surface of the pressing plate.

[0014] Preferably, it further includes a big data analysis efficient data acquisition system, which includes: a cloud service platform, a sensor module, an overload protection module, a signal conditioning module, a signal amplification module, an electromagnetic shielding module, a data fusion module, a data processing module and a data acquisition module. The cloud server is used for remotely managing and monitoring the acceleration sensor body. The sensor module is used for sensing the acceleration change during the mechanical operation of the acceleration sensor body and converting it into a corresponding electrical signal.

[0015] Preferably, the overload protection module is used to protect the electrical performance of the acceleration sensor body. The signal conditioning module is used for filtering and linearizing the signal output by the sensor module. The signal amplification module is used for amplifying the signal output by the sensor module. The electromagnetic shielding module is used to prevent external electromagnetic interference from affecting the normal operation of the signal conditioning module and the signal amplification module. The data acquisition module is used for acquiring the electrical signals generated by the mechanical vibration sensed by the acceleration sensor body, which are the basic data for subsequent analysis and processing. The data processing module is used to remove noise by filtering to improve the quality of the data. The data fusion module is used to integrate the data of the data processing module and transmit the fused data to the cloud service platform.

[0016] Compared with the prior art, the beneficial effects of the present invention are:

[0017] 1. When using the acceleration sensor body to detect the operation of a machine, insert the connecting rod into the inside of the card slot, and insert the two insertion tubes into the two round holes in the connecting rod respectively, thus realizing the connection between the acceleration sensor body and the external machine. When the mechanical vibration affects the internal components of the acceleration sensor body, remove the connecting rod from the inside of the card slot, and automatically connect the acceleration sensor body to the outer surfaces of the two shock absorption mechanisms, solving the problem in the prior art that when using a data analysis efficient data acquisition device to detect the vibration of a machine, the measurement result is easily inaccurate due to the abnormal vibration of the machine.

[0018] 2. During the initial installation of the acceleration sensor body, the outer surface of the acceleration sensor body first squeezes the two stop bars, driving the two stop bars to rotate respectively towards the mounting plate, causing the two sets of coil springs to tighten. When the outer surface of the acceleration sensor body is no longer in contact with the outer surfaces of the two stop bars, the two sets of coil springs reset under the action of their own elastic forces, causing the two stop bars to reset. The purpose is to make the stop bars exactly parallel to the outer surface of the mounting plate when they reset, achieving precise docking with the acceleration sensor body.

[0019] 3. During the process of using the acceleration sensor body to detect mechanical vibration conditions, the cloud service platform controls the sensor module by communicating with the local system where the sensor module is located, senses the acceleration changes during the external mechanical operation, and converts them into corresponding electrical signals. The overload protection module can monitor the working state of the sensor module. Through the cooperation between the signal conditioning module and the signal amplification module, the amplitude of the signal can be enhanced. The electromagnetic shielding module can isolate the sensor module from the external electromagnetic field. The data acquisition module samples the analog signal at a certain sampling frequency. The data processing module analyzes and processes the signals collected by the data acquisition module, and then conveys the processed data to the data fusion module. By fusing the data of sensor modules at different positions, the data for big data analysis can be collected more accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is the front perspective view of a high-efficiency data acquisition device for big data analysis according to the present invention;

[0021] Figure 2 is the partial perspective view of the shock-absorbing mechanism of a high-efficiency data acquisition device for big data analysis according to the present invention;

[0022] Figure 3 is the partial perspective view of the positioning component of a high-efficiency data acquisition device for big data analysis according to the present invention;

[0023] Figure 4 is the partial perspective view of the data acquisition component of a high-efficiency data acquisition device for big data analysis according to the present invention;

[0024] Figure 5 is the partial perspective view of the mounting plate of a high-efficiency data acquisition device for big data analysis according to the present invention;

[0025] Figure 6 is the sectional perspective view of the mounting plate of a high-efficiency data acquisition device for big data analysis according to the present invention;

[0026] Figure 7 is the partial perspective view of the connection component of a high-efficiency data acquisition device for big data analysis according to the present invention;

[0027] Figure 8This is a system diagram of an efficient data acquisition device for big data analysis according to the present invention.

[0028] In the figure:

[0029] 1. Mounting plate; 2. Shock absorption mechanism; 3. Positioning component; 301. Mounting frame; 302. Rotating shaft; 303. Mounting sleeve; 304. Torsion spring; 305. Stop bar; 306. Second electromagnet; 4. Data acquisition component; 401. Acceleration sensor body; 402. Connecting rod; 403. First iron block; 404. Second iron block; 5. Card slot; 6. Telescopic rod; 7. First electromagnet; 8. Connecting component; 801. Insertion tube; 802. Threaded rotating rod; 803. First helical gear; 804. Bearing frame; 805. Driving rod; 806. Second helical gear; 807. Driving gear; 808. Reversible motor; 809. Driving tube; 810. Belt; 9. Spring; 10. Pressing plate; 11. Cloud service platform; 12. Sensor module; 13. Overload protection module; 14. Signal conditioning module; 15. Signal amplification module; 16. Electromagnetic shielding module; 17. Data acquisition module; 18. Data processing module; 19. Data fusion module. Specific embodiments

[0030] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0031] Please refer to Figure 1-7, the present invention provides a technical solution: a high-efficiency data acquisition device for big data analysis, including a mounting plate 1 and a data acquisition component 4 for analyzing the vibration condition of the mechanical surface. It is characterized in that: a connection component 8 for mounting the data acquisition device is arranged on the outer surface of the mounting plate 1. The connection component 8 includes two insertion tubes 801. Threaded rods 802 are threadedly connected inside both of the two insertion tubes 801. First bevel gears 803 are fixedly sleeved on the portions of the two threaded rods 802 away from the threads. Bearing frames 804 are fixedly installed on the outer surface of the mounting plate 1 near both sides of the edge by screws. Drive rods 805 are movably embedded inside both of the two bearing frames 804. Second bevel gears 806 are fixed at one ends of the two drive rods 805. Drive gears 807 are fixedly installed at the other ends of the two drive rods 805. A forward and reverse motor 808 is fixedly installed on the outer surface of the mounting plate 1 near the top by an auxiliary plate. The output end of the forward and reverse motor 808 is fixedly connected to a drive tube 809. A belt 810 is arranged on the outer surface of the drive tube 809. A card slot 5 is opened on the outer surface of the mounting plate 1 near the center. One ends of the two insertion tubes 801 movably penetrate into the inside of the card slot 5. The outer surfaces of the two insertion tubes 801 opposite to each other are slidably connected to the inner wall of the mounting plate 1. The outer surfaces of the two first bevel gears 803 are respectively meshed with the outer surfaces of the two second bevel gears 806. The outer surfaces of the two drive gears 807 are movably connected to the outer surface of the belt 810. One end of the drive tube 809 movably penetrates into the inside of the mounting plate 1. The data acquisition component 4 includes an acceleration sensor body 401. A connecting rod 402 is fixed at the center of the rear surface of the acceleration sensor body 401. First iron blocks 403 are fixedly connected to both sides of the rear surface of the acceleration sensor body 401 near the edge. Second iron blocks 404 are fixedly connected to the outer surfaces of the acceleration sensor body 401 opposite to each other. A spring 9 is arranged on the inner wall of the card slot 5. A pressing plate 10 is arranged at one end of the spring 9. The outer surface of the pressing plate 10 is slidably connected to the inner wall of the card slot 5. One end of the spring 9 is fixedly connected to the inner wall of the card slot 5. The other end of the spring 9 is fixedly connected to the outer surface of the pressing plate 10.

[0032] In this embodiment, when it is necessary to use the acceleration sensor body 401 in the high-efficiency data acquisition device for big data analysis to detect the operation condition of the machine, first fix the mounting plate 1 on the surface of the external machine, make the opening of the card slot 5 face outward, and then insert the connecting rod 402 into the inside of the card slot 5, so that the two first iron blocks 403 are respectively inserted into the cross-shaped grooves inside the two telescopic rods 6. At this time, as Figure 4The two circular holes in the connecting rod 402 shown are exactly parallel to the outer surfaces of the two insertion tubes 801. When the connecting rod 402 is inserted into the inside of the card slot 5, it squeezes the pressing plate 10, causing the spring 9 to be compressed and shorten. When the connecting rod 402 presses the pressing plate 10 to the deepest position, the two circular holes in the connecting rod 402 are exactly aligned with the two insertion tubes 801. At this time, the forward and reverse motor 808 can be started to drive the drive tube 809 to rotate, and then drive the belt 810 to rotate under the action of the frictional force with the outer surface of the drive tube 809, thereby driving the two drive gears 807 to rotate, and then causing the two drive rods 805 to rotate. Among them, the connection between the drive rod 805 and the carrier 804 is in an I-shaped structure. The purpose is to support the drive rod 805 and limit it at the same time to prevent the drive rod 805 from moving out of the inside of the carrier 804. The two drive rods 805 respectively drive the two second bevel gears 806 to rotate, thereby respectively driving the two first bevel gears 803 to rotate, and then driving the two threaded rods 802 to rotate, so that the two insertion tubes 801 are respectively translated into the inside of the card slot 5 and inserted into the two circular holes in the connecting rod 402, that is, the fixed connection between the acceleration sensor body 401 and the mounting plate 1 is realized, and thus the connection between the acceleration sensor body 401 and the external machinery is indirectly realized. The vibration operation condition of the machinery can be detected through the acceleration sensor body 401. Among them, when the acceleration sensor body 401 is subjected to stress, its resistance value will change. This phenomenon is called the piezoresistive effect. When the acceleration sensor body 401 senses the acceleration generated by mechanical vibration, the inertial force of the mass block will cause the strain gauge to deform, resulting in a change in the resistance of the piezoresistive material. By measuring the change in resistance and converting it into a voltage signal, an electrical signal related to the acceleration can be obtained, thereby realizing the measurement of the mechanical vibration acceleration.

[0033] As Figure 1 - Figure 7As shown in the figure, a high-efficiency data acquisition device for big data analysis includes a mounting plate 1 and a data acquisition component 4 for analyzing the vibration condition of the mechanical surface. A connection component 8 for mounting the data acquisition device is arranged on the outer surface of the mounting plate 1. The connection component 8 includes two insertion tubes 801. Threaded rods 802 are threadedly connected inside both of the two insertion tubes 801. First bevel gears 803 are fixedly sleeved on the parts of the two threaded rods 802 away from the threads. Bearing frames 804 are fixedly installed on the outer surface of the mounting plate 1 near the two side edges by screws. Drive rods 805 are movably embedded inside both of the two bearing frames 804. Second bevel gears 806 are fixed at one ends of the two drive rods 805. Drive gears 807 are fixedly installed at the other ends of the two drive rods 805. A positive and negative motor 808 is fixedly installed on the outer surface of the mounting plate 1 near the top through an auxiliary plate. The output end of the positive and negative motor 808 is fixedly connected to a drive tube 809. A belt 810 is arranged on the outer surface of the drive tube 809. Positioning components 3 for connecting with the acceleration sensor body 401 are arranged on the outer surfaces of both of the two shock absorption mechanisms 2. Both of the two positioning components 3 include mounting frames 301. The outer surfaces of the two mounting frames 301 are respectively fixedly connected to the outer surfaces of the two shock absorption mechanisms 2. Rotating shafts 302 are movably embedded between the opposite inner walls of the two mounting frames 301. Mounting sleeves 303 are fixedly installed on the opposite outer surfaces of the two mounting frames 301 by screws. Torsion springs 304 are arranged inside all of the four mounting sleeves 303. Every two adjacent ones of the four mounting sleeves 303 form a group. The two ends of the two rotating shafts 302 respectively movably penetrate to the outer parts of the two groups of mounting sleeves 303 on the opposite sides. Every two adjacent ones of the four torsion springs 304 form a group. The outer surfaces of the two rotating shafts 302 are respectively fixedly connected to one ends of the two groups of torsion springs 304. Stop rods 305 are fixedly sleeved on the outer surfaces of the two rotating shafts 302. Second electromagnets 306 are arranged on the inner walls of the two stop rods 305.

[0034] In this embodiment, when the acceleration sensor body 401 detects that the external mechanical vibration is too large and will affect the internal components of the acceleration sensor body 401, it first transmits the signal to the external control system. Through the control system, the two first electromagnets 7 are first electrically connected to the external power supply to generate a magnetic field. Then, the forward and reverse motor 808 is started in reverse again to drive the drive tube 809 to rotate in the reverse direction, thereby driving the two drive gears 807 to rotate in the reverse direction, and then driving the two threaded rods 802 to rotate in the reverse direction, so that the two insertion tubes 801 move away from the clamping groove 5 respectively until the two insertion tubes 801 are respectively removed from the inside of the connecting rod 402. At this time, the extrusion force on the spring 9 is reduced, and it will elongate under its own elastic force, thereby driving the pressing plate 10 to move outside the clamping groove 5 and pushing the connecting rod 402 out of the inside of the clamping groove 5. At this time, since the two first electromagnets 7 respectively adsorb the two first iron blocks 403, when the connecting rod 402 is pushed outwards, the two telescopic rods 6 are elongated, thereby driving the acceleration sensor body 401 to move towards the outer surfaces of the two shock absorption mechanisms 2 until the two second iron blocks 404 respectively contact the outer surfaces of the two second electromagnets 306. At this time, the two second electromagnets 306 can be electrically connected to the external power supply through the external control system, and at the same time, the two first electromagnets 7 are disconnected from the external power supply, so that the two second iron blocks 404 are respectively tightly adsorbed by the two second electromagnets 306, and then the acceleration sensor body 401 is connected to the outer surfaces of the two shock absorption mechanisms 2. Among them, as Figure 2 shown, when the shock absorption mechanism 2 is subjected to a shock, it can absorb and store energy by its own elastic deformation. When the external vibration is transmitted, the elastic member is compressed or stretched, converting the kinetic energy of the vibration into elastic potential energy, slowing down the transmission of the vibration and reducing the vibration amplitude. In addition, through the multi-link structure, the movable connection between the links forms a movable mechanism. During the vibration process, the multi-link can change the relative position and angle, disperse the force generated by the vibration, and guide the vibration direction, and consume the vibration energy through the coordinated movement of each link, further weakening the impact of the vibration on the device, thereby effectively reducing the impact of mechanical vibration on the acceleration sensor body 401. By automatically switching the acceleration sensor body 401 from the fixing device to the shock absorption device, the flexibility of the installation of the acceleration sensor body 401 is realized, preventing the acceleration sensor body 401 from being damaged by strong vibration due to abnormal mechanical vibration, and solving the problem in the prior art that when using data analysis to detect the mechanical vibration situation of high-efficiency data acquisition equipment, it is easily damaged by abnormal mechanical vibration, resulting in inaccurate measurement results.

[0035] As Figure 1 and Figure 3 - Figure 4As shown, a rotating shaft 302 is movably embedded between the opposite inner walls of the two mounting brackets 301. Mounting sleeves 303 are fixed to the opposite outer surfaces of the two mounting brackets 301 by screws. A torsion spring 304 is arranged inside each of the four mounting sleeves 303. Every two adjacent ones of the four mounting sleeves 303 form a group. The two ends of the two rotating shafts 302 respectively penetrate through the outside of the two groups of mounting sleeves 303 in opposite directions. Every two adjacent ones of the four torsion springs 304 form a group. One ends of the two groups of torsion springs 304 are respectively fixedly connected to the outer surfaces of the two rotating shafts 302. Retaining rods 305 are fixedly sleeved on the outer surfaces of the two rotating shafts 302. Second electromagnets 306 are arranged on the inner walls of the two retaining rods 305.

[0036] In this embodiment, after the mechanical abnormal vibration is eliminated, the staff can press the acceleration sensor body 401 into the inside of the card slot 5 again, driving the connecting rod 402 to insert into the inside of the card slot 5, and then fix the connecting rod 402 in the inside of the card slot 5 by repeating the above steps. Among them, during the initial installation of the acceleration sensor body 401, the outer surface of the acceleration sensor body 401 first squeezes the two retaining rods 305, driving the two retaining rods 305 to rotate towards the mounting plate 1 respectively, so that the two groups of torsion springs 304 are respectively tightened. When the outer surface of the acceleration sensor body 401 does not contact the outer surfaces of the two retaining rods 305, the two groups of torsion springs 304 reset under the action of their own elastic forces, so that the two retaining rods 305 reset. Among them, as Figure 3 shown, the cross-section of the mounting bracket 301 is in the shape of a "door", the purpose of which is to make the retaining rod 305 exactly parallel to the outer surface of the mounting plate 1 when reset, so as to achieve precise docking with the acceleration sensor body 401.

[0037] As Figure 8As shown in the figure, it further includes a big data analysis efficient data acquisition system, which includes: a cloud service platform 11, a sensor module 12, an overload protection module 13, a signal conditioning module 14, a signal amplification module 15, an electromagnetic shielding module 16, a data fusion module 17, a data processing module 18, and a data acquisition module 19. The cloud server 11 is used for remotely managing and monitoring the acceleration sensor body 401. The sensor module 12 is used to sense the acceleration change during the mechanical operation of the acceleration sensor body 401 and convert it into a corresponding electrical signal. The overload protection module 13 is used to protect the electrical performance of the acceleration sensor body 401. The signal conditioning module 14 is used for filtering and linearizing the signal output by the sensor module 12. The signal amplification module 15 is used for amplifying the signal output by the sensor module 12. The electromagnetic shielding module 16 is used to prevent external electromagnetic interference from affecting the normal operation of the signal conditioning module 14 and the signal amplification module 15. The data acquisition module 17 is used to acquire the electrical signals generated by the mechanical vibration sensed by the acceleration sensor body 401, which are the basic data for subsequent analysis and processing. The data processing module 18 is used to remove noise by filtering to improve the quality of the data. The data fusion module 19 is used to integrate the data of the data processing module 18 and transfer the fused data to the cloud service platform.

[0038] In this embodiment, during the process of using the acceleration sensor body 401 to detect mechanical vibration conditions, first, the cloud service platform 11 remotely monitors and manages the operation of the acceleration sensor body 401. The cloud service platform 11 has powerful computing and storage capabilities and can perform in-depth analysis and mining on a large amount of fusion data. By comprehensively analyzing multi-source data accumulated over a long time, potential laws, trends of mechanical vibration, and its correlations with other factors can be discovered, which helps to perform more accurate fault prediction and diagnosis and optimize the equipment maintenance strategy. The cloud service platform 11 controls the sensor module 12 by communicating with the local system where the sensor module 12 is located and sends instructions to the sensor module 12 to control it to collect data and operate according to specific requirements. The sensor module 12 receives the instructions, senses the acceleration changes during the external mechanical operation, and converts them into corresponding electrical signals. During the operation of the sensor module 12, the overload protection module 13 can monitor the working state of the sensor module 12. When an overload situation is detected, by adjusting the circuit parameters, the output of the sensor module 12 is kept within the normal range as much as possible to prevent the deterioration of electrical performance and ensure the accuracy and stability of the output signal of the sensor module 12. The collected analog signal is preliminarily processed, including operations such as amplification and filtering. Since the signal output by the sensor module 12 is usually relatively weak and mixed with noise, through the cooperation between the signal conditioning module 14 and the signal amplification module 15, the amplitude of the signal can be enhanced for subsequent digital processing. By filtering, high-frequency noise and other interference signals in the signal can be removed to improve the signal quality. Since there are various electromagnetic interferences during the operation of the machine, during the signal transmission process, the electromagnetic shielding module 16 can isolate the sensor module 12 from the external electromagnetic field, reduce the influence of external electromagnetic interference on the sensor module 12, and ensure that the sensor output signal can truly reflect the vibration conditions of the mechanical operation. The data acquisition module 17 samples the analog signal at a certain sampling frequency and converts it into a digital quantity. The selection of the sampling frequency is determined according to the frequency characteristics of the mechanical operation to ensure that the signal reflecting the mechanical operation state can be accurately collected. The processed signal is converted into a digital signal for the data processing module 18 to process. The data processing module 18 analyzes and processes the signal collected by the data acquisition module 17, converts the time-domain signal into a frequency-domain signal through an algorithm, analyzes the frequency components of the mechanical operation, detects whether there are abnormal vibration frequencies, extracts the characteristic parameters that can reflect the mechanical operation state, and then conveys the processed data to the data fusion module 19. By fusing the data of the sensor modules 12 at different positions, the source and propagation path of the mechanical vibration can be determined more precisely, and the fused data is transmitted to the cloud service platform 11. The staff can then use intelligent devices to access the cloud data anywhere through the Internet, and thus collect the data for big data analysis more accurately.

[0039] Usage method and working principle of this device: When it is necessary to use the acceleration sensor body 401 in the big data analysis efficient data acquisition device to detect the operation condition of the machine, first fix the mounting plate 1 on the surface of the external machine, making the opening of the card slot 5 face outward. During the initial installation of the acceleration sensor body 401, the outer surface of the acceleration sensor body 401 first squeezes the two stop rods 305, driving the two stop rods 305 to rotate respectively towards the mounting plate 1, making the two groups of coil springs 304 tighten respectively. When the outer surface of the acceleration sensor body 401 does not contact the outer surfaces of the two stop rods 305, the two groups of coil springs 304 reset under the action of their own elastic force, making the two stop rods 305 reset. Then insert the connecting rod 402 into the inside of the card slot 5, making the two first iron blocks 403 respectively insert into the cross-shaped grooves inside the two telescopic rods 6. At this time, as Figure 4The two circular holes in the connecting rod 402 shown are exactly parallel to the outer surfaces of the two insertion tubes 801. When the connecting rod 402 is inserted into the inside of the card slot 5, it squeezes the pressing plate 10, so that the spring 9 is compressed and shortened. When the connecting rod 402 presses the pressing plate 10 to the deepest position, at this time, the two circular holes in the connecting rod 402 are exactly opposite to the two insertion tubes 801. At this time, the forward and reverse motor 808 can be started to drive the drive tube 809 to rotate, and then drive the belt 810 to rotate under the action of the frictional force with the outer surface of the drive tube 809, so as to drive the two drive gears 807 to rotate, and then make the two drive rods 805 rotate. The two drive rods 805 respectively drive the two second bevel gears 806 to rotate, so as to drive the two first bevel gears 803 to rotate respectively, and then drive the two threaded rotating rods 802 to rotate, so that the two insertion tubes 801 are respectively translated into the inside of the card slot 5 and inserted into the two circular holes in the connecting rod 402, that is, the fixed connection between the acceleration sensor body 401 and the mounting plate 1 is realized, and thus the connection between the acceleration sensor body 401 and the external machine is indirectly realized. The vibration operation condition of the machine can be detected through the acceleration sensor body 401. When the acceleration sensor body 401 detects that the external mechanical vibration is too large and will affect the internal components of the acceleration sensor body 401, the signal is first transmitted to the external control system. Through the control system, the two first electromagnets 7 are first electrically connected to the external power supply to generate a magnetic field, and then the forward and reverse motor 808 is started in reverse to drive the drive tube 809 to rotate in reverse, and then drive the two drive gears 807 to rotate in reverse, so as to drive the two threaded rotating rods 802 to rotate in reverse, and then make the two insertion tubes 801 move away from the card slot 5 respectively until the two insertion tubes 801 are respectively removed from the inside of the connecting rod 402. At this time, the extrusion force on the spring 9 is reduced, so it will elongate under its own elastic force, thus driving the pressing plate 10 to move out of the card slot 5 and pushing the connecting rod 402 out of the inside of the card slot 5. At this time, since the two first electromagnets 7 respectively adsorb the two first iron blocks 403, when the connecting rod 402 is pushed outwards, the two telescopic rods 6 are elongated, so as to drive the acceleration sensor body 401 to move towards the outer surfaces of the two shock absorption mechanisms 2 until the two second iron blocks 404 respectively contact the outer surfaces of the two second electromagnets 306. At this time, the two second electromagnets 306 can be electrically connected to the external power supply through the external control system, and at the same time, the two first electromagnets 7 are disconnected from the external power supply, so that the two second iron blocks 404 are respectively tightly adsorbed by the two second electromagnets 306, and then the acceleration sensor body 401 is connected to the outer surfaces of the two shock absorption mechanisms 2. By automatically switching the acceleration sensor body 401 from the fixing device to the shock absorption device, the flexibility of the installation of the acceleration sensor body 401 is realized, and the situation that the acceleration sensor body 401 is damaged by strong vibration due to abnormal mechanical vibration is prevented. When the abnormal mechanical vibration is removed,The staff can press the acceleration sensor body 401 into the inside of the card slot 5 again, drive the connecting rod 402 to insert into the inside of the card slot 5, and then fix the connecting rod 402 inside the card slot 5 by repeating the above steps. During the process of using the acceleration sensor body 401 to detect mechanical vibration conditions, first, the cloud service platform 11 remotely monitors and manages the operation of the acceleration sensor body 401. By comprehensively analyzing the multi-source data accumulated over a long time, the potential laws, trends of mechanical vibration, and its correlations with other factors are discovered. The cloud service platform 11 controls the sensor module 12 by communicating with the local system where the sensor module 12 is located, and sends instructions to the sensor module 12 to control the sensor module 12 to collect data and operate according to specific requirements. The sensor module 12 receives the instructions, senses the acceleration changes during the external mechanical operation process, and converts them into corresponding electrical signals. During the operation of the sensor module 12, the overload protection module 13 can monitor the working state of the sensor module 12. When an overload situation is detected, by adjusting the circuit parameters and, the output of the sensor module 12 is kept within the normal range as much as possible. Since the signals output by the sensor module 12 are usually relatively weak and mixed with noise, through the cooperation between the signal conditioning module 14 and the signal amplification module 15, the amplitude of the signal can be enhanced, facilitating subsequent digital processing. The high-frequency noise and other interference signals in the signal can be removed by filtering. Since there are various electromagnetic interferences during the operation of the machine, during the signal transmission process, the electromagnetic shielding module 16 can isolate the sensor module 12 from the external electromagnetic field, reducing the influence of external electromagnetic interference on the sensor module 12. The data acquisition module 17 samples the analog signal at a certain sampling frequency and converts it into a digital quantity. The selection of the sampling frequency is determined according to the frequency characteristics of the mechanical operation to ensure that the signal reflecting the mechanical operation state can be accurately collected. The processed signal is converted into a digital signal for the data processing module 18 to process. The data processing module 18 analyzes and processes the signals collected by the data acquisition module 17. The time-domain signal is converted into a frequency-domain signal through an algorithm, the frequency components of the mechanical operation are analyzed, whether there are abnormal vibration frequencies is detected, and the characteristic parameters that can reflect the mechanical operation state are extracted. Then the processed data is sent to the data fusion module 19. By fusing the data of the sensor modules 12 at different positions, the source and propagation path of the mechanical vibration can be more accurately determined, and the fused data is transmitted to the cloud service platform 11.,

[0040] The wiring diagrams of the second electromagnet 306, the acceleration sensor body 401, the first electromagnet 7, and the forward and reverse motor 808 in the present invention belong to the common general knowledge in the art. Their working principles are already well-known technologies, and their models are selected according to actual use. Therefore, the control methods and wiring arrangements of the second electromagnet 306, the acceleration sensor body 401, the first electromagnet 7, and the forward and reverse motor 808 will not be explained in detail.

[0041] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An efficient data acquisition device for big data analysis, comprising a mounting plate (1) and a data acquisition component (4) for analyzing the vibration condition of the mechanical surface, characterized in that: A connection component (8) for installing a data acquisition device is arranged on the outer surface of the mounting plate (1); The connection component (8) includes two insertion tubes (801). Threaded rods (802) are threadedly connected inside both of the two insertion tubes (801). First bevel gears (803) are fixedly sleeved on the parts of the two threaded rods (802) away from the threads. Bearing frames (804) are fixedly installed on the outer surface of the mounting plate (1) near both side edges by screws. Drive rods (805) are movably embedded inside both of the two bearing frames (804). Second bevel gears (806) are fixed to one ends of the two drive rods (805). Drive gears (807) are fixedly installed at the other ends of the two drive rods (805). A positive and negative motor (808) is fixedly installed on the outer surface of the mounting plate (1) near the top by an auxiliary plate. The output end of the positive and negative motor (808) is fixedly connected to a drive tube (809). A belt (810) is arranged on the outer surface of the drive tube (809).

2. The high-efficiency data acquisition device for big data analysis according to claim 1, wherein: A card slot (5) is formed in the outer surface of the mounting plate (1) near the center. One ends of the two insertion tubes (801) movably penetrate into the inside of the card slot (5). The outer surfaces of the two insertion tubes (801) opposite to each other are slidably connected to the inner wall of the mounting plate (1). The outer surfaces of the two first bevel gears (803) are respectively meshed with the outer surfaces of the two second bevel gears (806). The outer surfaces of the two drive gears (807) are both movably connected to the outer surface of the belt (810). One end of the drive tube (809) movably penetrates into the inside of the mounting plate (1).

3. The high-efficiency data acquisition device for big data analysis according to claim 2, wherein: Two shock absorption mechanisms (2) for shock-absorbing the data acquisition device are arranged on the outer surface of the mounting plate (1). Two telescopic rods (6) are fixed to the outer surface of the mounting plate (1). First electromagnets (7) are arranged inside the inner walls of the two telescopic rods (6).

4. The high-efficiency data acquisition device for big data analysis according to claim 3, wherein: The data acquisition component (4) includes an acceleration sensor body (401). A connecting rod (402) is fixed to the center of the rear surface of the acceleration sensor body (401). First iron blocks (403) are fixedly connected to both sides of the rear surface of the acceleration sensor body (401) near the edges. Second iron blocks (404) are fixedly connected to the outer surfaces of the acceleration sensor body (401) opposite to each other.

5. The high-efficiency data acquisition device for big data analysis according to claim 4, characterized in that: Positioning components (3) for connecting with the acceleration sensor body (401) are arranged on the outer surfaces of the two shock absorption mechanisms (2). Both of the two positioning components (3) include mounting frames (301). The outer surfaces of the two mounting frames (301) are respectively fixedly connected to the outer surfaces of the two shock absorption mechanisms (2).

6. The high-efficiency data acquisition device for big data analysis according to claim 5, characterized in that: A rotating shaft (302) is movably embedded between the opposite inner walls of the two mounting brackets (301). Mounting sleeves (303) are fixed to the opposite outer surfaces of the two mounting brackets (301) by screws. Torsion springs (304) are arranged inside the four mounting sleeves (303). Every two adjacent ones of the four mounting sleeves (303) form a group. The two ends of the two rotating shafts (302) respectively pass through the opposite outer parts of the two groups of mounting sleeves (303) movably.

7. The high-efficiency data acquisition device for big data analysis according to claim 6, wherein: Every two adjacent ones of the four torsion springs (304) form a group. One ends of the two groups of torsion springs (304) are fixedly connected to the outer surfaces of the two rotating shafts (302) respectively. Retaining rods (305) are fixedly sleeved on the outer surfaces of the two rotating shafts (302). Second electromagnets (306) are arranged on the inner walls of the two retaining rods (305).

8. The high-efficiency data acquisition device for big data analysis according to claim 7, characterized in that: A spring (9) is arranged on the inner wall of the card slot (5). One end of the spring (9) is provided with a pressing plate (10). The outer surface of the pressing plate (10) is slidably connected to the inner wall of the card slot (5). One end of the spring (9) is fixedly connected to the inner wall of the card slot (5), and the other end of the spring (9) is fixedly connected to the outer surface of the pressing plate (10).

9. The high-efficiency data acquisition device for big data analysis according to claim 8, wherein: It also includes a big data analysis and efficient data acquisition system, which includes: a cloud service platform (11), a sensor module (12), an overload protection module (13), a signal conditioning module (14), a signal amplification module (15), an electromagnetic shielding module (16), a data fusion module (17), a data processing module (18) and a data acquisition module (19). The cloud server (11) is used for remotely managing and monitoring the acceleration sensor body (401). The sensor module (12) is used for sensing the acceleration change during the mechanical operation of the acceleration sensor body (401) and converting it into corresponding electrical signals.

10. The high-efficiency data acquisition device for big data analysis according to claim 9, characterized in that: The overload protection module (13) is used for protecting the electrical performance of the acceleration sensor body (401). The signal conditioning module (14) is used for filtering and linearizing the signals output by the sensor module (12). The signal amplification module (15) is used for amplifying the signals output by the sensor module (12). The electromagnetic shielding module (16) is used for preventing external electromagnetic interference from affecting the normal operation of the signal conditioning module (14) and the signal amplification module (15). The data acquisition module (17) is used for acquiring the electrical signals generated by the mechanical vibration sensed by the acceleration sensor body (401), which are the basic data for subsequent analysis and processing. The data processing module (18) is used for removing noise by filtering to improve the quality of the data. The data fusion module (19) is used for integrating the data of the data processing module (18) and transmitting the fused data to the cloud service platform.