Big data analysis platform and method

Abstract

The invention relates to the field of big data, in particular to a big data analysis platform and method. The big data analysis platform comprises a storage device, a computing device, a network device, a data acquisition device and a data backup device, the data acquisition device comprises two rectangular frames, the two rectangular frames are oppositely arranged up and down, the inner ring of each rectangular frame is provided with a rectangular edge, and the inner ring of each rectangular frame is provided with a rectangular groove; and the edges of the two transparent plastic films are respectively adhered to the two rectangular edges. The analysis method comprises the following steps: S1, collecting and preparing data to be analyzed, cleaning and processing the data, removing repeated data, processing missing values, and converting a data format; s2, storing the prepared data in a storage device of a big data analysis platform; s3, analyzing and mining the data through a computing device by using a tool and an algorithm provided by a big data analysis platform; an object can be erected in a suspended mode to be scanned in all directions, and big data analysis can be conveniently conducted on the shape of the object.

Description

Technical Field

[0001] This invention relates to the field of big data, and more specifically to big data analysis platforms and methods. Background Technology

[0002] A big data analytics platform is a software platform used to process and analyze large-scale data. It provides a range of tools and functions to help users extract valuable information from massive amounts of data and conduct in-depth data analysis and mining. Big data analytics platforms can process and store large volumes of data, including both structured and unstructured data. It can collect data from different data sources and store it in appropriate data storage systems, such as distributed file systems or cloud storage. Big data analytics platforms need to analyze objects, which requires omnidirectional scanning; however, current big data analytics platforms cannot suspend objects in mid-air for omnidirectional scanning. Summary of the Invention

[0003] To overcome the shortcomings of existing technologies, this invention provides a big data analysis platform and method, which has the advantage of being able to suspend objects in mid-air for comprehensive scanning, facilitating big data analysis of the object's shape.

[0004] The big data analysis platform includes storage devices, computing devices, network devices, data acquisition devices, and data backup devices. The data acquisition device includes two rectangular frames, which are arranged vertically opposite each other. Each rectangular frame has a rectangular edge on its inner circle, and the edges of two transparent plastic films are respectively adhered to the two rectangular edges.

[0005] The storage device is used by the big data analytics platform to store massive amounts of data; the storage device is a hard disk drive or a solid-state hard disk drive.

[0006] The computing device processes and analyzes large-scale data; the computing device is a single high-performance server or a cluster of multiple servers.

[0007] The method of using a big data analytics platform for analysis includes the following steps:

[0008] S1: It is necessary to collect and prepare the data to be analyzed, clean and process the data, remove duplicate data, handle missing values, and convert the data format.

[0009] S2: Store the prepared data into the storage device of the big data analytics platform;

[0010] S3: Analyze and mine data using computing devices and the tools and algorithms provided by big data analytics platforms;

[0011] S4: Visualize the analysis results using visualization tools provided by the big data analytics platform to present the data and analysis results;

[0012] S5: Deploy the analysis results and models to practical applications to achieve data-driven decision-making and business optimization. Attached Figure Description

[0013] The present invention will now be described in further detail with reference to the accompanying drawings and specific implementation methods.

[0014] Figure 1 This is a schematic diagram of a big data analytics platform.

[0015] Figure 2 Schematic diagram of the data acquisition device Figure 1 ;

[0016] Figure 3 Schematic diagram of the data acquisition device Figure 2 ;

[0017] Figure 4 Schematic diagram of the data acquisition device Figure 3 ;

[0018] Figure 5 A schematic diagram of the rectangular frame structure. Figure 1 ;

[0019] Figure 6 This is a structural diagram of the rectangular frame and the molding strip;

[0020] Figure 7 A schematic diagram of the rectangular frame structure. Figure 2 ;

[0021] Figure 8 A schematic diagram of the rectangular frame structure. Figure 3 ;

[0022] Figure 9 This is a structural diagram of the base.

[0023] In the diagram: Rectangular frame 101; Lug 102; Threaded post 103; Groove 104; Stop block 105; L-shaped part 106; Pressure frame 107; Rectangular edge 108; Vertical bar 109; Fixing sleeve 110; Vertical post 111;

[0024] Pressure strip 201; boom 202; long groove 203; screw 204;

[0025] Base 301; Upright pole 302; Motor 1 303; Vertical ring 304; Camera 1 305; Motor 2 306; Camera 2 307; Horizontal ring 308; Hollow column 309. Detailed Implementation

[0026] like Figure 5-8 As shown, this example can achieve the effect of suspending an object in mid-air.

[0027] The big data analytics platform includes storage devices, computing devices, network devices, data acquisition devices, and data backup devices. The data acquisition devices include two rectangular frames 101, positioned vertically opposite each other. Each frame 101 has a rectangular edge 108 on its inner circle. The edges of two transparent plastic films are respectively adhered to the two rectangular edges 108. The rectangular edges 108 facilitate the fixation of the transparent plastic films to the inner circle of the rectangular frames 101. The object to be analyzed is placed between the two rectangular frames 101, and then the two frames are moved closer together. The two transparent plastic films press against the sides of the object, thus suspending the object in mid-air. The transparent plastic films are transparent and do not interfere with the imaging of the object.

[0028] The storage device is used by the big data analytics platform to store massive amounts of data; the storage device is a hard disk drive or a solid-state hard disk drive.

[0029] The computing device processes and analyzes large-scale data; the computing device is a single high-performance server or a cluster of multiple servers.

[0030] The network devices connect storage devices and computing devices via high-speed networks; the network devices include switches and routers.

[0031] The data backup device ensures the security and reliability of the data. The data backup device is a tape library and network storage device used to back up data regularly and restore data when needed.

[0032] like Figure 5-8 As shown, this example demonstrates how to clamp and fix a transparent plastic film onto a rectangular frame 101.

[0033] Because a pressure frame 107 is slidably connected to the inner side of the rectangular frame 101, and L-shaped parts 106 are welded to both ends of the pressure frame 107, the L-shaped parts 106 are connected to the rectangular frame 101 by screws, and the pressure frame 107 presses on the rectangular edge 108, thereby clamping and fixing the transparent plastic film to the rectangular frame 101 through the pressure frame 107 and the rectangular edge 108.

[0034] like Figure 5-8 As shown, this example demonstrates how to conveniently place an object between two transparent plastic films.

[0035] Since each rectangular frame 101 has a fixed sleeve 110 welded to its rear side, and the two fixed sleeves 110 are slidably connected to the upper and lower ends of the vertical strip 109 respectively, and a hinge is provided in the middle of the vertical strip 109, the two rectangular frames 101 can slide vertically on the vertical strip 109 through the fixed sleeves 110, and the vertical strip 109 can rotate through the hinge, thereby facilitating the two rectangular frames 101 to open by rotating through the hinge, making it convenient to place an object between the two transparent plastic films.

[0036] like Figure 5-8 As shown, this example can achieve the effect of driving two rectangles 101 to move closer to each other.

[0037] Since each rectangular frame 101 has a protrusion 102 welded to its front side, and a slot 104 is provided on the protrusion 102, with the right side of the slot 104 open, the two ends of the threaded post 103 are respectively inserted into the two slots 104, and the two ends of the threaded post 103 are threaded with nuts. A stop block 105 is provided on the right side of the protrusion 102. The threaded post 103 is inserted between the two protrusions 102, and then the two nuts on the threaded post 103 are rotated, thereby driving the two rectangular frames 101 to move closer to each other, thereby pressing the two transparent plastic films on both sides of the object. The stop block 105 provided on the right side of the protrusion 102 blocks the nuts on the threaded post 103 to prevent the threaded post 103 from coming out between the two protrusions 102. Loosening the two nuts opens the right side of the slot 104, making it easy to remove the threaded post 103 from the right side.

[0038] like Figure 5-8 As shown, this example demonstrates how a flexible, transparent plastic film can be pressed against both sides of an object to wrap it up.

[0039] Since each fixing sleeve 110 has a compression spring welded to its outer side, and the outer ends of the two compression springs are welded to the two ends of the vertical strip 109 respectively, the two compression springs respectively exert a force on the two fixing sleeves 110 and the two rectangular frames 101 to move closer to each other, so that the two rectangular frames 101 always tend to move closer to each other, so that the elastic transparent plastic film presses on both sides of the object to wrap the object.

[0040] Screws 204 are welded to the four outer corners of the rectangular frame 101. Long slots 203 are provided on the arm 202. The arm 202 is inserted into the screws 204 through the long slots 203. A pressure strip 201 is fixed to the end of the arm 202. A nut is threaded onto the screw 204.

[0041] like Figure 5-8 As shown, this example demonstrates how to achieve the effect of making the transparent plastic film adhere more tightly to the object.

[0042] The nut on the screw 204 is turned and pressed onto the arm 202, causing the arm 202 to press against the transparent plastic film through the pressure strip 201 on it, making the transparent plastic film press more tightly onto the object. The arm 202 can move and rotate on the screw 204 through the long groove 203, making it convenient to adjust the position of the pressure strip 201 on the transparent plastic film.

[0043] The data acquisition device also includes a base 301, on which two hollow columns 309 are welded. Two vertical columns 111 are fixed on a rectangular frame 101 located on the lower side. The two vertical columns 111 are slidably connected to the two hollow columns 309 respectively. Each hollow column 309 has a fastening screw threaded to its upper part. Uprights 302 are welded to both ends of the base 301. One motor 303 is fixed on one upright 302, and another motor 306 is fixed on the other upright 302. The output shaft of the first motor 303 is fixed on a vertical ring 304. Multiple cameras 305 are evenly distributed on the inner side of the vertical ring 304. The output shaft of the second motor 306 is fixed on a horizontal ring 308. Multiple cameras 307 are evenly distributed on the inner side of the horizontal ring 308.

[0044] like Figure 5-9 As shown, this example can achieve the effect of capturing video of an object that is suspended in mid-air.

[0045] The rectangular frame 101 located on the lower side can slide on the two hollow columns 309 via the two vertical columns 111 on it, thereby adjusting the height of the two rectangular frames 101. The position of the two vertical columns 111 can be fixed by turning the fastening screws. Motor 1 303 drives the vertical ring 304 to rotate, and motor 2 306 drives the horizontal ring 308 to rotate, thereby adjusting the position of the multiple cameras 1 305 on the vertical ring 304 and the multiple cameras 2 307 on the horizontal ring 308. This allows for video capture of the suspended object, enabling a comprehensive scan of the object and facilitating big data analysis of the object's shape.

[0046] The method of using a big data analytics platform for analysis includes the following steps:

[0047] S1: It is necessary to collect and prepare the data to be analyzed, clean and process the data, remove duplicate data, handle missing values, and convert the data format.

[0048] S2: Store the prepared data into the storage device of the big data analytics platform;

[0049] S3: Analyze and mine data using computing devices and the tools and algorithms provided by big data analytics platforms;

[0050] S4: Visualize the analysis results using visualization tools provided by the big data analytics platform to present the data and analysis results;

[0051] S5: Deploy the analysis results and models to practical applications to achieve data-driven decision-making and business optimization.

Claims

1. A big data analytics platform, comprising storage devices, computing devices, network devices, data acquisition devices, and data backup devices, characterized in that: The data acquisition device includes a rectangular frame (101), and two rectangular frames (101) are provided, which are arranged vertically opposite each other. Each rectangular frame (101) has a rectangular edge (108) on its inner circle, and the edges of two transparent plastic films are respectively glued to the two rectangular edges (108).

2. The big data analysis platform according to claim 1, characterized in that: The storage device is used by the big data analytics platform to store massive amounts of data; the storage device is a hard disk drive or a solid-state hard disk drive.

3. The big data analysis platform according to claim 1, characterized in that: The computing device processes and analyzes large-scale data; the computing device is a single high-performance server or a cluster of multiple servers.

4. The big data analysis platform according to claim 1, characterized in that: The network devices connect storage devices and computing devices via high-speed networks; the network devices include switches and routers.

5. The big data analysis platform according to claim 1, characterized in that: The data backup device ensures the security and reliability of the data. The data backup device is a tape library and network storage device used to back up data regularly and restore data when needed.

6. The big data analysis platform according to claim 1, characterized in that: A pressure frame (107) is slidably connected to the inner side of the rectangular frame (101). Both ends of the pressure frame (107) are fixed with L-shaped parts (106), which are connected to the rectangular frame (101) by screws.

7. The big data analysis platform according to claim 6, characterized in that: Each of the rectangular frames (101) is fixed with a fixing sleeve (110) on its rear side. The two fixing sleeves (110) are slidably connected to the upper and lower ends of the vertical bar (109), and a hinge is provided in the middle of the vertical bar (109).

8. The big data analysis platform according to claim 7, characterized in that: Each of the rectangular frames (101) has a protrusion (102) fixed on its front side. The protrusion (102) has a slot (104) with the right side of the slot (104) open. The two ends of the threaded post (103) are respectively inserted into the two slots (104). The two ends of the threaded post (103) are threaded with nuts. The right side of the protrusion (102) has a stop (105).

9. The big data analysis platform according to claim 8, characterized in that: Each of the fixed sleeves (110) is fixed with a compression spring on its outer side, and the outer ends of the two compression springs are respectively fixed to the two ends of the vertical bar (109).

10. A method for performing analysis using the big data analysis platform according to claim 9, characterized in that, Includes the following steps: S1: It is necessary to collect and prepare the data to be analyzed, clean and process the data, remove duplicate data, handle missing values, and convert the data format; S2: Store the prepared data into the storage device of the big data analytics platform; S3: Analyze and mine data using computing devices and the tools and algorithms provided by big data analytics platforms; S4: Visualize the analysis results using visualization tools provided by the big data analytics platform to present the data and analysis results; S5: Deploy the analysis results and models to practical applications to achieve data-driven decision-making and business optimization.

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