Big data collecting and scanning device based on artificial intelligence

Abstract

The invention relates to the technical field of data collecting and scanning equipment, in particular to a big data collecting and scanning device based on artificial intelligence, a shell is provided with a sweeping mechanism for cleaning dust, and a processing table is provided with a connecting mechanism for assisting in cleaning; the sweeping mechanism comprises a rotating rod, one side of the rotating rod is fixedly connected to the output end of the driving motor, a first bevel gear is fixedly connected to the middle rod wall of the rotating rod, the other side of the rotating rod is rotationally connected to the exterior of the shell through a bearing, and a circular gear is fixedly connected to the side, away from the driving motor, of the rotating rod; the lower end of the circular gear is engaged with a rack plate; the scanner has the beneficial effects that the driving motor is arranged to drive the circular gear and the rack plate to move, so that the transverse plate and the soft brush are driven to quickly move under the sliding limiting action of the first sliding groove and the sliding rod, a screen of the scanner can be movably cleaned, the scanner is prevented from being shielded by dust, and the scanning efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data collection and scanning devices, and in particular to a big data collection and scanning device based on artificial intelligence. Background Art

[0002] In today's big data era, the collection and analysis of data are crucial for the development of various industries. Traditional data collection and scanning devices have many limitations. Firstly, their scanning range and types are relatively single, often only capable of collecting data in specific formats or from specific sources, and it is difficult to meet the complex and changeable data collection requirements. Secondly, in the face of a large amount of data, the data processing speed of traditional devices is slow, and valuable information cannot be quickly screened out, resulting in low data collection efficiency. In addition, traditional devices lack intelligent analysis capabilities and cannot automatically adjust the collection strategy according to the characteristics of the data and user needs, requiring a large amount of manual intervention for data processing and analysis.

[0003] Moreover, currently, during the scanning operation of data scanning devices, the scanning screen is prone to being contaminated with dust and debris, which all need to be manually cleaned. The cleaning speed is slow, and manual cleaning needs to be carried out frequently, making it inconvenient to use. At the same time, the scanners are of a fixed height, and it is not convenient to lift them for scanning objects of different heights, having limitations.

[0004] To solve the above-mentioned problems, the present invention proposes a big data collection and scanning device based on artificial intelligence. Summary of the Invention

[0005] In view of the problems in the prior art, the present invention provides a big data collection and scanning device based on artificial intelligence. To solve the above-mentioned problems, the present invention proposes a big data collection and scanning device based on artificial intelligence, which solves the problem that the existing data collection and scanning device is inconvenient to clean the screen.

[0006] The technical solution adopted by the present invention to solve its technical problems is: a big data collection and scanning device based on artificial intelligence, including a housing. A scanner is fixedly installed at the lower end of one side of the housing. First chutes are opened on both sides of the lower end of the housing. A second chute is opened on the outer wall of one side of the housing. A card slot is opened at the upper end of the side of the housing away from the scanner. A driving motor is fixedly connected to the inner wall of one side of the card slot. A cleaning mechanism for cleaning dust is arranged on the housing, and a connecting mechanism for assisting cleaning is arranged on the processing table; The cleaning mechanism includes a rotating rod, one side of the rotating rod is fixedly connected to the output end of the driving motor, the middle rod wall of the rotating rod is fixedly connected to the first bevel gear, and the other side of the rotating rod is rotatably connected to the outside of the shell through a bearing, the side of the rotating rod away from the driving motor is fixedly connected to the circular gear, the lower end of the circular gear is meshed with a rack plate, the rack plate is fixedly connected to the slide, the slide is slidably connected in the second slide groove, the lower end of one side of the rack plate is fixedly connected to the support plate, the support plate is fixedly connected to the cross plate, the upper sides of the cross plate are fixedly connected to the sliding rod, the upper end of the sliding rod is slidably connected in the first slide groove, and the upper end of the cross plate is fixedly connected to the soft brush.

[0007] Specifically, the connecting mechanism includes a first connecting rod, which is rotatably connected to the slot by a bracket and a bearing, one side of the first connecting rod is fixedly connected to the second bevel gear, the second bevel gear is meshed and connected to the first bevel gear, and the other side of the first connecting rod is fixedly connected to the double-headed transmission wheel, the wheel grooves of the double-headed transmission wheel are both transmission-connected to belts, the lower ends of the belts are both transmission-connected to the single-headed transmission wheel, the center of the single-headed transmission wheel is fixedly connected to the second connecting rod, the second connecting rod is rotatably connected to both sides of the lower end of the shell through the bracket and the bearing, and the side of the second connecting rod away from the single-headed transmission wheel is fixedly connected to the fan blade.

[0008] Specifically, L-shaped rods are fixedly connected on both sides of the upper end of the shell away from the card slot, and a hollow operating table is installed at the lower end of the L-shaped rod. Circular holes are opened at the corresponding positions of the operating table and the L-shaped rod, and the lower end of the L-shaped rod extends into the interior of the operating table through the circular holes. Third sliding grooves are symmetrically arranged on the inner walls on both sides of the operating table.

[0009] Specifically, a stepper motor is fixedly connected to the bottom end of the operating table near the circular hole, a screw is fixedly connected to the output end of the stepper motor, a screw sleeve is threadedly connected to the screw rod wall, connecting plates are fixedly connected on both sides of the screw sleeve, both sides of the connecting plate are slidably connected in the third slide groove, and the connecting plate and the L-shaped rod are fixedly connected.

[0010] Specifically, the upper end of the soft brush and the external screen of the scanner are movably offset.

[0011] Specifically, the scanner includes a data acquisition module, a data transmission module, a data analysis and processing module, and an intelligent decision-making module; The data acquisition module includes a multi-source data interface, a scanning unit, and a sensor integration. The multi-source data interface includes a variety of general and industry-specific data interfaces. The scanning unit includes an image scanner, a document scanner, and an RFID reader. The sensor integrates a variety of environmental and physical quantity sensors. The data transmission module adopts high-speed data transmission technology and supports the wireless communication module for remote data transmission. The encryption technology is used during the data transmission process; The data analysis and processing module includes a preprocessing unit, a feature extraction unit, and a parallel computing architecture. The preprocessing unit cleans and converts the format of the original data. The feature extraction unit extracts key features using artificial intelligence algorithms. The parallel computing architecture uses a GPU cluster or FPGA to accelerate data processing.

[0012] Specifically, the intelligent decision-making module includes a machine learning model and a strategy optimization unit. The machine learning model is constructed based on deep learning algorithms for data classification and prediction. The strategy optimization unit automatically adjusts the data collection strategy according to the model analysis results.

[0013] Advantages of the present invention: (1) For the big data collection and scanning device based on artificial intelligence of the present invention, by setting a driving motor to drive the circular gear and the rack plate to move, and thus driven by the sliding limit of the first chute and the sliding rod, the cross plate and the soft brush are driven to move quickly, so as to clean the screen of the scanner by moving, avoiding the occlusion of the scanner by dust and increasing the scanning efficiency.

[0014] (2) For the big data collection and scanning device based on artificial intelligence of the present invention, by setting the second bevel gear to rotate and drive the double-headed drive wheel, and thus cooperating with the belt to drive the one-way drive wheel and the fan blade to rotate quickly, the fallen dust and debris can be blown away when the soft brush cleans the scanner, avoiding accumulation and increasing the overall cleaning efficiency.

[0015] (3) For the big data collection and scanning device based on artificial intelligence of the present invention, by setting the driving motor and the screw rod, it is convenient to cooperate with the third chute and the connecting plate, and thus the L-shaped rod and the scanner can be driven to lift, which is convenient to adjust according to different scanning objects and increases the overall flexibility of use. Description of the drawings

[0016] The present invention will be further described below with reference to the drawings and embodiments.

[0017] Figure 1 It is a schematic diagram of the external structure of a big data collection and scanning device based on artificial intelligence provided by the present invention; Figure 2 It is a schematic diagram of the bottom view structure of the housing in a big data collection and scanning device based on artificial intelligence provided by the present invention; Figure 3 It is a schematic diagram of the overall side structure of a big data collection and scanning device based on artificial intelligence provided by the present invention; Figure 4Schematic side structure diagram of the housing in a big data collection and scanning device based on artificial intelligence provided by the present invention; Figure 5 Schematic top view structure diagram of the housing in a big data collection and scanning device based on artificial intelligence provided by the present invention; Figure 6 Schematic top view sectional view of the operating table in a big data collection and scanning device based on artificial intelligence provided by the present invention; Figure 7 Schematic structure diagram of the connection structure in a big data collection and scanning device based on artificial intelligence provided by the present invention.

[0018] In the figure: 1. Housing; 2. Scanner; 3. First chute; 4. Second chute; 5. Card slot; 6. Driving motor; 7. Cleaning mechanism; 71. Rotating rod; 72. First bevel gear; 73. Circular gear; 74. Rack plate; 75. Slide plate; 76. Support plate; 77. Cross plate; 78. Slide rod; 79. Soft brush; 8. Connection mechanism; 81. First connecting rod; 82. Second bevel gear; 83. Double-headed transmission wheel; 84. Belt; 85. Single-headed transmission wheel; 86. Second connecting rod; 87. Fan blade; 9. L-shaped rod; 10. Operating table; 11. Round hole; 12. Third chute; 13. Stepping motor; 14. Screw; 15. Nut sleeve; 16. Connecting plate. Specific embodiments

[0019] In order to make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0020] As Figures 1-7 shown, the present invention provides the following technical solutions: Embodiment 1: A big data collection and scanning device based on artificial intelligence, including a housing 1, a scanner 2 is fixedly installed at the lower end of one side of the housing 1, first chutes 3 are opened on both sides of the lower end of the housing 1, a second chute 4 is opened on the outer wall of one side of the housing 1, a card slot 5 is opened at the upper end of the side of the housing 1 away from the scanner 2, and a driving motor 6 is fixedly connected to the inner wall of one side of the card slot 5; On both sides of the upper end of the housing 1 far from the card slot 5, L-shaped rods 9 are fixedly connected. At the lower end of the L-shaped rod 9, a hollow operating table 10 is installed. Circular holes 11 are penetrated and provided at the corresponding positions of the operating table 10 and the L-shaped rod 9. The lower end of the L-shaped rod 9 passes through the circular hole 11 and extends into the interior of the operating table 10. Third sliding grooves 12 are symmetrically arranged on both inner walls of the operating table 10. At the bottom end of one side of the operating table 10 close to the circular hole 11, a stepping motor 13 is fixedly connected. The output end of the stepping motor 13 is fixedly connected with a screw rod 14. A screw sleeve 15 is threadedly connected to the rod wall of the screw rod 14. Connecting plates 16 are fixedly connected to both sides of the screw sleeve 15. The two sides of the connecting plate 16 are slidably connected in the third sliding groove 12, and the connecting plate 16 is fixedly connected with the L-shaped rod 9.

[0021] During use, the housing 1 can drive the scanner 2 to irradiate and scan the scanned object, and at the same time, the stepping motor 13 is started by an external power supply. The output end of the stepping motor 13 drives the screw rod 14 to rotate through a coupling. The screw rod 14 synchronously drives the screw sleeve 15. At this time, the screw sleeve 15 will stably move upward along the axial direction of the screw rod 14 under the sliding limit action of the third sliding groove 12 and the connecting plate 16. At the same time, when the connecting plate 16 moves, it will drive the L-shaped rod 9 to move inside the circular hole 11, so that the height of the housing 1 and the scanner 2 can be adjusted according to the height of the scanned object.

[0022] Embodiment 2: A cleaning mechanism 7 for cleaning dust is provided on the housing 1. The cleaning mechanism 7 includes a rotating rod 71. One side of the rotating rod 71 is fixedly connected to the output end of the driving motor 6. A first bevel gear 72 is fixedly connected to the rod wall in the middle of the rotating rod 71. And the other side of the rotating rod 71 is rotatably connected to the outside of the housing 1 through a bearing. A circular gear 73 is fixedly connected to the side of the rotating rod 71 far from the driving motor 6. A rack plate 74 is meshed and connected to the lower end of the circular gear 73. The rack plate 74 is fixedly connected with a sliding plate 75. The sliding plate 75 is slidably connected in the second sliding groove 4. A support plate 76 is fixedly connected to the lower end of one side of the rack plate 74. A cross plate 77 is fixedly connected to the support plate 76. Slide rods 78 are fixedly connected to both sides of the upper end of the cross plate 77. The upper ends of the slide rods 78 are slidably connected in the first sliding groove 3. And a soft brush 79 is fixedly connected to the upper end of the cross plate 77. A connecting mechanism 8 for assisting cleaning is provided on the processing table. The connecting mechanism 8 includes a first connecting rod 81. The first connecting rod 81 is rotatably connected in the card slot 5 through a bracket and a bearing. A second bevel gear 82 is fixedly connected to one side of the first connecting rod 81. The second bevel gear 82 is meshed and connected to the first bevel gear 72. And a double-headed transmission wheel 83 is fixedly connected to the other side of the first connecting rod 81. Belt 84 is drivingly connected to the wheel grooves of the double-headed transmission wheel 83. Single-headed transmission wheels 85 are drivingly connected to the lower ends of the belts 84. Second connecting rods 86 are fixedly connected to the centers of the single-headed transmission wheels 85. The second connecting rods 86 are rotatably connected to both sides of the lower end of the housing 1 through brackets and bearings. And fan blades 87 are fixedly connected to the sides of the second connecting rods 86 far from the single-headed transmission wheels 85.

[0023] When in use, when it is necessary to clean the outside of the scanner 2, the drive motor 6 is started through an external power supply. The output end of the drive motor 6 drives the rotating rod 71 to rotate. The rotating rod 71 rotates stably in the card slot 5 and outside the housing 1 through the bearing connected to the housing 1. At this time, when the rotating rod 71 rotates, it will synchronously drive the first bevel gear 72 and the circular gear 73 to rotate. The circular gear 73 rotates and synchronously meshes with the rack plate 74. The rack plate 74 is meshed and stressed and will move stably in the direction of the scanner 2 under the sliding limit of the second chute 4 and the sliding plate 75. At the same time, when the rack plate 74 moves, it drives the cross plate 77 through the support plate 76. The cross plate 77 will stably drive the soft brush 79 to move under the sliding limit of the first chute 3 and the sliding rod 78 to clean the outside of the scanner 2 by moving; At the same time, when the first bevel gear 72 rotates, it meshes with and drives the second bevel gear 82. The second bevel gear 82 drives the first connecting rod 81 and the double-headed transmission wheel 83 to rotate through the bearing connected to the housing 1. The double-headed transmission wheel 83 will synchronously drive the single-headed transmission wheel 85 to rotate through the belt 84. When the single-headed transmission wheel 85 rotates, it drives the fan blade 87 to rotate rapidly through the bracket and bearing connected to the housing 1, so as to blow away the dust and debris cleaned by the soft brush 79.

[0024] Embodiment 3: The technical solution of this embodiment different from that of Embodiment 2 includes: The scanner 2 includes a data acquisition module, a data transmission module, a data analysis and processing module, and an intelligent decision-making module; The data acquisition module includes a multi-source data interface, a scanning unit, and a sensor integration. The multi-source data interface includes a variety of general and specific industry data interfaces. The scanning unit includes an image scanner, a document scanner, and an RFID reader. The sensor integration includes a variety of environmental and physical quantity sensors; The data transmission module adopts high-speed data transmission technology and supports a wireless communication module for remote data transmission. The data transmission process adopts encryption technology; The data analysis and processing module includes a preprocessing unit, a feature extraction unit, and a parallel computing architecture. The preprocessing unit cleans and converts the format of the original data. The feature extraction unit uses artificial intelligence algorithms to extract key features. The parallel computing architecture uses a GPU cluster or FPGA to accelerate data processing; The intelligent decision-making module includes a machine learning model and a strategy optimization unit. The machine learning model is constructed based on deep learning algorithms to classify and predict data. The strategy optimization unit automatically adjusts the data collection strategy according to the analysis results of the model.

[0025] During use, the data acquisition module in the scanner 2 collects data from various devices, media, and environments through multi-source data interfaces, scanning units, and sensor integration. The collected data is transmitted to the data analysis and processing module in a high-speed and encrypted manner through the data transmission module. In the data analysis and processing module, the preprocessing unit cleans and converts the format of the raw data. The feature extraction unit extracts key features using artificial intelligence algorithms. The parallel computing architecture accelerates the entire processing process. The intelligent decision-making module analyzes and predicts the processed data based on a machine learning model, and automatically adjusts the working strategy of the data acquisition module through the policy optimization unit according to the results. The processed data and analysis results are stored for subsequent use.

[0026] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art of this industry should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification only illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A big data collection and scanning device based on artificial intelligence, comprising a housing (1). A scanner (2) is fixedly installed at the lower end of one side of the housing (1). First chutes (3) are opened on both sides of the lower end of the housing (1). A second chute (4) is opened on the outer wall of one side of the housing (1). A card slot (5) is opened at the upper end of the side of the housing (1) away from the scanner (2). A driving motor (6) is fixedly connected to the inner wall of one side of the card slot (5), characterized in that: A cleaning mechanism (7) for cleaning dust is provided on the housing (1), and a connecting mechanism (8) for assisting in cleaning is provided on the processing table; The cleaning mechanism (7) includes a rotating rod (71), one side of the rotating rod (71) is fixedly connected to the output end of the driving motor (6), a first bevel gear (72) is fixedly connected to the rod wall in the middle of the rotating rod (71), and the other side of the rotating rod (71) is rotatably connected to the outside of the housing (1) through a bearing. A circular gear (73) is fixedly connected to the side of the rotating rod (71) away from the driving motor (6). A rack plate (74) is meshed and connected to the lower end of the circular gear (73). The rack plate (74) is fixedly connected to a sliding plate (75). The sliding plate (75) is slidably connected in the second chute (4). A support plate (76) is fixedly connected to the lower end of one side of the rack plate (74). A cross plate (77) is fixedly connected to the support plate (76). Slide bars (78) are fixedly connected to both sides of the upper end of the cross plate (77). The upper ends of the slide bars (78) are slidably connected in the first chute (3), and a soft brush (79) is fixedly connected to the upper end of the cross plate (77).

2. The big data collection and scanning device based on artificial intelligence according to claim 1, wherein: The connecting mechanism (8) includes a first connecting rod (81). The first connecting rod (81) is rotatably connected in the card slot (5) through a bracket and a bearing. A second bevel gear (82) is fixedly connected to one side of the first connecting rod (81). The second bevel gear (82) is meshed and connected to the first bevel gear (72). A double-headed transmission wheel (83) is fixedly connected to the other side of the first connecting rod (81). Belt (84) are respectively connected to the grooves of the double-headed transmission wheel (83). Single-headed transmission wheels (85) are respectively connected to the lower ends of the belt (84). Second connecting rods (86) are fixedly connected to the centers of the single-headed transmission wheels (85). The second connecting rods (86) are respectively rotatably connected to both sides of the lower end of the housing (1) through brackets and bearings, and fan blades (87) are fixedly connected to the sides of the second connecting rods (86) away from the single-headed transmission wheels (85).

3. A big data collection and scanning device based on artificial intelligence according to claim 1, characterized in that: L-shaped rods (9) are fixedly connected to both sides of the upper end of the housing (1) away from the card slot (5). A hollow operating table (10) is installed at the lower end of the L-shaped rod (9). Circular holes (11) are respectively formed through the positions corresponding to the operating table (10) and the L-shaped rod (9). The lower end of the L-shaped rod (9) passes through the circular hole (11) and extends into the operating table (10). Third chutes (12) are symmetrically arranged on both inner walls of the operating table (10).

4. An artificial intelligence-based big data collection and scanning device according to claim 3, characterized in that: A stepping motor (13) is fixedly connected to the bottom end of one side of the operating table (10) close to the circular hole (11). A screw rod (14) is fixedly connected to the output end of the stepping motor (13). A nut sleeve (15) is threadedly connected to the rod wall of the screw rod (14). Connecting plates (16) are fixedly connected to both sides of the nut sleeve (15). The two sides of the connecting plates (16) are slidably connected in the third chute (12), and the connecting plates (16) are fixedly connected to the L-shaped rod (9).

5. A big data collection and scanning device based on artificial intelligence according to claim 1, characterized in that: The upper end of the soft brush (79) is in active contact with the outer screen of the scanner (2).

6. The big data collection and scanning device based on artificial intelligence according to claim 1, characterized in that: The scanner (2) includes a data acquisition module, a data transmission module, a data analysis and processing module, and an intelligent decision-making module; The data acquisition module includes a multi-source data interface, a scanning unit, and a sensor integration. The multi-source data interface includes a variety of general and specific industry data interfaces. The scanning unit includes an image scanner, a document scanner, and an RFID reader. The sensor integration includes a variety of environmental and physical quantity sensors; The data transmission module uses high-speed data transmission technology and supports a wireless communication module for remote data transmission. Encryption technology is used during the data transmission process; The data analysis and processing module includes a preprocessing unit, a feature extraction unit, and a parallel computing architecture. The preprocessing unit cleans and converts the format of the original data. The feature extraction unit uses artificial intelligence algorithms to extract key features. The parallel computing architecture uses a GPU cluster or FPGA to accelerate data processing.

7. An artificial intelligence-based big data collection and scanning device according to claim 6, characterized in that: The intelligent decision-making module includes a machine learning model and a strategy optimization unit. The machine learning model is constructed based on deep learning algorithms for data classification and prediction. The strategy optimization unit automatically adjusts the data collection strategy according to the model analysis results.

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