Computer algorithm operating system of zero-carbon smart park information analysis workstation

By receiving and processing the internal images of the computer room in the computer algorithm operating system of the zero-carbon smart park information analysis workstation, identifying the cabinet imaging area and adjusting the inter-frame encoding mode according to the content balance, the shortcomings of image processing and analysis in the prior art are solved, and more efficient image matching and analysis effects are achieved.

CN119762811AInactive Publication Date: 2025-04-04JIANGSU INTELLIGENT LOW-CARBON TECH DEV CO LTD
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Patent Information

Application Number
CN202411976346.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-31
Publication Date
2025-04-04
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The lack of effective image processing and image analysis technology in the prior art makes it difficult to match the imaging characteristics of the key components in the internal images of the computer room, namely the cabinet, resulting in insufficient flexibility and targeted image processing and analysis.

Method used

The internal image of the information transceiver interface receiver room is used in the computer algorithm operating system of the zero-carbon smart park information analysis workstation, and the third mapped image is generated through Butworth low-pass filtering, grayscale transformation enhancement processing and contrast enhancement processing. The cabinet imaging area is identified based on the numerical distribution interval of the cabinet, and the number of inter-coded frame skip interval frames is determined based on the content redundancy to match the key objects in the image.

Benefits of technology

Through the improvement of image processing and analysis technology, the imaging characteristics of the cabinet can be more effectively matched, the flexibility and pertinence of image processing and analysis can be improved, and the shortcomings of image processing and analysis in the prior art are solved.

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Abstract

The present invention relates to a computer algorithm operating system of a zero-carbon smart park information analysis workstation, comprising: an information transceiver interface, arranged in the system, for receiving an image of the interior of a computer room; an object recognition mechanism, arranged in the system, for recognizing a cabinet imaging region in a third mapping image based on a grayscale value distribution interval corresponding to the cabinet; a parameter adjustment mechanism, for determining the number of frame skipping intervals used for forward searching for an inter-frame coding reference frame when performing inter-frame coding on the image of the interior of the computer room based on the content redundancy of the cabinet imaging region in the third mapping image. Through the present invention, the image processing and image analysis performed on the image of the interior of the computer room can be matched with the imaging features of the key component in the image of the interior of the computer room, namely the cabinet, on the basis of the hardware of the workstation computer algorithm operating system, thereby improving the flexibility and pertinence of the image processing and image analysis.
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Description

Technical Field

[0001] The present invention relates to the field of smart parks, and in particular to a computer algorithm operating system for a zero-carbon smart park information analysis workstation. Background Art

[0002] A zero-carbon smart park refers to a new type of industrial park that systematically integrates the concept of carbon neutrality into the planning, construction, management, and operation of the park, relies on a zero-carbon operating system, uses precise accounting to plan the setting of carbon neutrality goals and practice paths, uses ubiquitous perception to comprehensively monitor the generation and reduction of carbon elements, uses digital means to integrate carbon neutrality measures such as energy conservation, emission reduction, carbon fixation, and carbon sinks, and uses smart management to achieve low-carbon industrial development, green energy transformation, centralized sharing of facilities, and circular utilization of resources, so as to achieve self-balance between carbon emissions and absorption within the park, and deeply integrate production, ecology, and life. To achieve this goal, the management of workstation computers is very important.

[0003] A workstation computer is a high-performance computer based on computers and distributed network computing, mainly aimed at professional application fields, with powerful data calculation and graphics and image processing capabilities, designed and developed to meet the needs of professional fields such as engineering design, animation production, scientific research, software development, financial management, information services, simulation, etc.

[0004] In the prior art, workstation computers are often used to perform image processing and image analysis on the on-site images obtained by panoramic image data acquisition performed by a panoramic camera mechanism set in the central position of the computer room, namely, the images inside the computer room. Therefore, the image processing and image analysis performed on the images inside the computer room need to be matched with the imaging features of the key components in the images inside the computer room, namely, the cabinets, so as to improve the flexibility and pertinence of the image processing and image analysis. Obviously, the prior art lacks corresponding mature technical solutions. Summary of the invention

[0005] In order to solve the technical problems in the prior art, the present invention provides a computer algorithm operating system for a zero-carbon smart park information analysis workstation, which is used to receive an image of the interior of a computer room by using an information transceiver interface arranged in the computer algorithm operating system of the zero-carbon smart park information analysis workstation, wherein the image of the interior of the computer room is a live image obtained by performing panoramic image data acquisition by a panoramic camera mechanism arranged in the central position of the computer room, and the received image of the interior of the computer room is successively subjected to Butterworth low-pass filtering, grayscale transformation enhancement and contrast enhancement processing to obtain and output a third mapping image with better image enhancement effect, and further identifies a cabinet imaging area in the third mapping image based on the grayscale value distribution interval corresponding to the cabinet, and determines the number of frame skipping intervals used for forward searching for an inter-frame coding reference frame when performing inter-frame coding on the image of the interior of the computer room based on the content redundancy of the cabinet imaging area in the third mapping image, wherein the higher the content redundancy of the cabinet imaging area in the received third mapping image, the more frequently the inter-frame coding reference frame is forward searched when performing inter-frame coding on the image of the interior of the computer room. The more frame skipping intervals are used, and when inter-frame coding is performed on the image inside the machine room, continuous frames that are in the same video sequence as the image inside the machine room and are located before the image inside the machine room are obtained, and one frame is selected from the continuous frames every the frame skipping interval to obtain multiple frames, and the multiple frames are used as the search range for searching the inter-frame coding reference frame for the image inside the machine room, so as to select a matching inter-frame coding mode according to the content redundancy of the key object in the scene image. When the content redundancy of the key object in the scene image is low, in the selected matching inter-frame coding mode, the smaller the frame skipping interval used for forward searching for the inter-frame coding reference frame is, so as to narrow the search range and obtain relevant data for coding from the front frame with a closer temporal correlation to ensure the coding quality. When the content redundancy of the key object in the scene image is high, in the selected matching inter-frame coding mode, the larger the frame skipping interval used for forward searching for the inter-frame coding reference frame is, so as to expand the search range and obtain more dynamic information from the front frame with a farther temporal correlation to ensure rich coding data.

[0006] According to the present invention, a computer algorithm operating system for a zero-carbon smart park information analysis workstation is provided, the system comprising: An information transceiver interface is provided in the system and is used to receive an image of the interior of the computer room, wherein the image of the interior of the computer room is a live image obtained by performing panoramic image data acquisition by a panoramic camera mechanism provided at a central position of the computer room; A first mapping device, arranged in the system and connected to the information transceiver interface, is used to perform Butterworth low-pass filtering on the received image of the interior of the computer room to obtain and output a first mapping image; A second mapping device, disposed in the system and connected to the first mapping device, for performing grayscale transformation enhancement processing on the received first mapping image to obtain and output a second mapping image; a third mapping device, disposed in the system and connected to the second mapping device, for performing contrast enhancement processing on the received second mapping image to obtain and output a third mapping image; An object recognition mechanism, arranged in the system and connected to the third mapping device, for recognizing a cabinet imaging area in the third mapping image based on a gray value distribution interval corresponding to the cabinet; a parameter adjustment mechanism, arranged in the system and connected to the object recognition mechanism, for determining the number of frame skipping intervals used for forward searching for inter-frame coding reference frames when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image; Wherein, determining the number of frame skipping intervals used for searching forward for an inter-frame coding reference frame when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image comprises: the higher the content redundancy of the cabinet imaging area in the received third mapping image, the greater the number of frame skipping intervals used for searching forward for an inter-frame coding reference frame when performing inter-frame coding on the image inside the computer room; Wherein, determining the frame skipping interval number of frames used for searching the inter-frame coding reference frame forward when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image further includes: when performing inter-frame coding on the image inside the computer room, obtaining consecutive frames that are in the same video sequence as the image inside the computer room and are located before the image inside the computer room, selecting one frame from the consecutive frames every the frame skipping interval number of frames to obtain a plurality of frames, and using the plurality of frames as a search range for searching the inter-frame coding reference frame for the image inside the computer room; Among them, determining the frame skipping interval number used for forward searching for the inter-frame coding reference frame when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image also includes: performing deduplication processing on each pixel value corresponding to each pixel point in the cabinet imaging area in the third mapping image to obtain the remaining multiple pixel values, and dividing the multiple pixel values ​​by the ratio of each pixel value as the content redundancy of the cabinet imaging area in the third mapping image.

[0007] Therefore, the present invention has at least the following four important invention points: Invention point A: An information transceiver interface in a computer algorithm operating system of a zero-carbon smart park information analysis workstation is used to receive an image of the interior of a computer room, wherein the image of the interior of the computer room is a live image obtained by performing panoramic image data acquisition by a panoramic camera mechanism arranged at the central position of the computer room, and Butterworth low-pass filtering, grayscale transformation enhancement, and contrast enhancement are successively performed on the received image of the interior of the computer room to obtain and output a third mapping image with a better image enhancement effect; Invention point B: Based on the gray value distribution interval corresponding to the cabinet, the cabinet imaging area in the third mapping image is identified, and based on the content redundancy of the cabinet imaging area in the third mapping image, the number of frame skipping intervals used for forward searching for the inter-frame coding reference frame when performing inter-frame coding on the image inside the computer room is determined, wherein the higher the content redundancy of the cabinet imaging area in the received third mapping image, the more frame skipping intervals used for forward searching for the inter-frame coding reference frame when performing inter-frame coding on the image inside the computer room are determined; Invention point C: When performing inter-frame coding on the image inside the machine room, continuous frames that are in the same video sequence as the image inside the machine room and are located before the image inside the machine room are obtained, and one frame is selected from the continuous frames every the frame skipping interval to obtain multiple frames, and the multiple frames are used as the search range for the inter-frame coding reference frame of the image inside the machine room, so as to select a matching inter-frame coding mode according to the content redundancy of the key object in the scene image, when the content redundancy of the key object in the scene image is low, in the selected matching inter-frame coding mode, the number of frame skipping intervals used for forward searching for the inter-frame coding reference frame is smaller, so as to narrow the search range and obtain relevant data for coding from the front frames with a closer temporal correlation to ensure the coding quality, and when the content redundancy of the key object in the scene image is high, in the selected matching inter-frame coding mode, the number of frame skipping intervals used for forward searching for the inter-frame coding reference frame is larger, so as to expand the search range and obtain more dynamic information from the front frames with a farther temporal correlation to ensure rich coding data; Invention point D: Deduplication processing is performed on each pixel value corresponding to each pixel point in the cabinet imaging area in the third mapping image to obtain the remaining multiple pixel values, and the ratio obtained by dividing the multiple pixel values ​​by the each pixel value is used as the content redundancy of the cabinet imaging area in the third mapping image, thereby achieving a reliable numerical representation of the content redundancy degree of the key object. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein: Figure 1 Schematic diagram of the internal structure of the computer algorithm operating system of the zero-carbon smart park information analysis workstation shown in Implementation A of the present invention.

[0009] Figure 2 Schematic diagram of the internal structure of the computer algorithm operating system of the zero-carbon smart park information analysis workstation according to implementation scheme B of the present invention.

[0010] Figure 3 Schematic diagram of the internal structure of the computer algorithm operating system of the zero-carbon smart park information analysis workstation according to Implementation Scheme C of the present invention. DETAILED DESCRIPTION

[0011] The implementation scheme of the computer algorithm operating system of the zero-carbon smart park information analysis workstation of the present invention will be described in detail below with reference to the accompanying drawings.

[0012] Figure 1 This is a schematic diagram of the internal structure of a computer algorithm operating system of a zero-carbon smart park information analysis workstation according to Embodiment A of the present invention, wherein the system comprises: An information transceiver interface is provided in the system and is used to receive an image of the interior of the computer room, wherein the image of the interior of the computer room is a live image obtained by performing panoramic image data acquisition by a panoramic camera mechanism provided at a central position of the computer room; A first mapping device, arranged in the system and connected to the information transceiver interface, is used to perform Butterworth low-pass filtering on the received image of the interior of the computer room to obtain and output a first mapping image; A second mapping device, disposed in the system and connected to the first mapping device, for performing grayscale transformation enhancement processing on the received first mapping image to obtain and output a second mapping image; a third mapping device, disposed in the system and connected to the second mapping device, for performing contrast enhancement processing on the received second mapping image to obtain and output a third mapping image; For example, the first mapping device, the second mapping device and the third mapping device are implemented by using ASIC devices of different models respectively; An object recognition mechanism, arranged in the system and connected to the third mapping device, for recognizing a cabinet imaging area in the third mapping image based on a gray value distribution interval corresponding to the cabinet; a parameter adjustment mechanism, arranged in the system and connected to the object recognition mechanism, for determining the number of frame skipping intervals used for forward searching for inter-frame coding reference frames when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image; Wherein, determining the number of frame skipping intervals used for searching forward for an inter-frame coding reference frame when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image comprises: the higher the content redundancy of the cabinet imaging area in the received third mapping image, the greater the number of frame skipping intervals used for searching forward for an inter-frame coding reference frame when performing inter-frame coding on the image inside the computer room; Wherein, determining the frame skipping interval number of frames used for searching the inter-frame coding reference frame forward when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image further includes: when performing inter-frame coding on the image inside the computer room, obtaining consecutive frames that are in the same video sequence as the image inside the computer room and are located before the image inside the computer room, selecting one frame from the consecutive frames every the frame skipping interval number of frames to obtain a plurality of frames, and using the plurality of frames as a search range for searching the inter-frame coding reference frame for the image inside the computer room; Wherein, determining the number of frame skipping intervals used for searching forward for an inter-frame coding reference frame when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image further includes: performing deduplication processing on each portion of pixel values ​​corresponding to each pixel point in the cabinet imaging area in the third mapping image to obtain a plurality of remaining pixel values, and dividing the plurality of pixel values ​​by the ratio of each portion of pixel values ​​as the content redundancy of the cabinet imaging area in the third mapping image; And wherein, the object recognition mechanism is arranged in the system and connected to the third mapping device, and is used to identify the cabinet imaging area in the third mapping image based on the grayscale value distribution interval corresponding to the cabinet, and also includes: taking the pixel points in the second mapping image whose grayscale values ​​are within the grayscale value distribution interval corresponding to the cabinet as the constituent pixel points of the cabinet imaging area in the third mapping image.

[0013] Figure 2 Schematic diagram of the internal structure of the computer algorithm operating system of the zero-carbon smart park information analysis workstation according to implementation scheme B of the present invention.

[0014] Compared with implementation scheme A, the computer algorithm operating system of the zero-carbon smart park information analysis workstation shown in implementation scheme B may also include the following components: a storage supply component, disposed near the first mapping device, the second mapping device, the third mapping device and the object identification mechanism and connected to the first mapping device, the second mapping device, the third mapping device and the object identification mechanism respectively; Among them, the storage supply component is arranged near the first mapping device, the second mapping device, the third mapping device and the object identification mechanism and is respectively connected to the first mapping device, the second mapping device, the third mapping device and the object identification mechanism, including: the storage supply component is used to respectively implement the cache operation of the input signals and output signals of the first mapping device, the second mapping device, the third mapping device and the object identification mechanism.

[0015] Figure 3 Schematic diagram of the internal structure of the computer algorithm operating system of the zero-carbon smart park information analysis workstation according to Implementation Scheme C of the present invention.

[0016] Compared with Implementation A, the computer algorithm operating system of the zero-carbon smart park information analysis workstation shown in Implementation C may also include the following components: A positioning server device is arranged near the first mapping device, the second mapping device, the third mapping device and the object identification mechanism and is connected to the first mapping device, the second mapping device, the third mapping device and the object identification mechanism respectively; Among them, the positioning server component is arranged near the first mapping device, the second mapping device, the third mapping device and the object identification mechanism and is respectively connected to the first mapping device, the second mapping device, the third mapping device and the object identification mechanism, including: the positioning server component is used to provide positioning data services based on the Beidou navigation mechanism for the first mapping device, the second mapping device, the third mapping device and the object identification mechanism respectively.

[0017] Next, the specific structure of the computer algorithm operating system of the zero-carbon smart park information analysis workstation of the present invention is further described.

[0018] In the computer algorithm operating system of the zero-carbon smart park information analysis workstation according to any embodiment of the present invention: The image optimization mechanism is used to perform image data processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively.

[0019] In the computer algorithm operating system of the zero-carbon smart park information analysis workstation according to any embodiment of the present invention: Using a picture optimization mechanism to perform image data processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively includes: performing USM filter sharpening processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively.

[0020] In the computer algorithm operating system of the zero-carbon smart park information analysis workstation according to any embodiment of the present invention: Using a picture optimization mechanism to perform image data processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively includes: performing histogram equalization processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively.

[0021] In the computer algorithm operating system of the zero-carbon smart park information analysis workstation according to any embodiment of the present invention: Using a picture optimization mechanism to perform image data processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively includes: performing gamma correction on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively.

[0022] And in the computer algorithm operating system of the zero-carbon smart park information analysis workstation according to any embodiment of the present invention: Using a picture optimization mechanism to perform image data processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively includes: performing point image restoration on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively.

[0023] In addition, in the computer algorithm operating system of the zero-carbon smart park information analysis workstation, an object recognition mechanism is arranged in the system and connected to the third mapping device, and is used to identify the cabinet imaging area in the third mapping image based on the grayscale value distribution interval corresponding to the cabinet, including: the grayscale value distribution interval corresponding to the cabinet is limited by the grayscale value upper limit threshold corresponding to the computer room and the grayscale value lower limit threshold corresponding to the computer room, and the grayscale value upper limit threshold corresponding to the computer room is greater than the grayscale value lower limit threshold corresponding to the computer room.

[0024] The computer algorithm operating system of the zero-carbon smart park information analysis workstation of the present invention can solve the technical problem in the prior art that the image processing and image analysis performed on the image inside the computer room do not match the imaging characteristics of the key component in the image inside the computer room, namely the cabinet. On the basis of the hardware of the workstation computer algorithm operating system, an artificial intelligence mechanism is used to match the image processing and image analysis performed on the image inside the computer room with the imaging characteristics of the key component in the image inside the computer room, namely the cabinet, based on multiple basic data, thereby improving the flexibility and pertinence of image processing and image analysis and solving the above technical problems.

[0025] While embodiments of the present invention have been shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made without departing from the spirit and scope of the embodiments of the invention as defined by the following claims.

Claims

1. A computer algorithm operating system for a zero-carbon smart park information analysis workstation, characterized in that: The system comprises: An information transceiver interface is provided in the system and is used to receive an image of the interior of the computer room, wherein the image of the interior of the computer room is a live image obtained by performing panoramic image data acquisition by a panoramic camera mechanism provided at a central position of the computer room; A first mapping device, arranged in the system and connected to the information transceiver interface, is used to perform Butterworth low-pass filtering on the received image of the interior of the computer room to obtain and output a first mapping image; A second mapping device, disposed in the system and connected to the first mapping device, for performing grayscale transformation enhancement processing on the received first mapping image to obtain and output a second mapping image; a third mapping device, disposed in the system and connected to the second mapping device, for performing contrast enhancement processing on the received second mapping image to obtain and output a third mapping image; An object recognition mechanism, arranged in the system and connected to the third mapping device, for recognizing a cabinet imaging area in the third mapping image based on a gray value distribution interval corresponding to the cabinet; a parameter adjustment mechanism, arranged in the system and connected to the object recognition mechanism, for determining the number of frame skipping intervals used for forward searching for inter-frame coding reference frames when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image; Wherein, determining the number of frame skipping intervals used for searching forward for an inter-frame coding reference frame when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image comprises: the higher the content redundancy of the cabinet imaging area in the received third mapping image, the greater the number of frame skipping intervals used for searching forward for an inter-frame coding reference frame when performing inter-frame coding on the image inside the computer room; Wherein, determining the frame skipping interval number of frames used for searching the inter-frame coding reference frame forward when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image further includes: when performing inter-frame coding on the image inside the computer room, obtaining consecutive frames that are in the same video sequence as the image inside the computer room and are located before the image inside the computer room, selecting one frame from the consecutive frames every the frame skipping interval number of frames to obtain a plurality of frames, and using the plurality of frames as a search range for searching the inter-frame coding reference frame for the image inside the computer room; Among them, determining the frame skipping interval number used for forward searching for the inter-frame coding reference frame when performing inter-frame coding on the image inside the computer room based on the content redundancy of the cabinet imaging area in the received third mapping image also includes: performing deduplication processing on each pixel value corresponding to each pixel point in the cabinet imaging area in the third mapping image to obtain the remaining multiple pixel values, and dividing the multiple pixel values ​​by the ratio of each pixel value as the content redundancy of the cabinet imaging area in the third mapping image.

2. The computer algorithm operating system of the zero-carbon smart park information analysis workstation according to claim 1, characterized in that: An object recognition mechanism is provided in the system and connected to the third mapping device, and is used to identify the cabinet imaging area in the third mapping image based on the grayscale value distribution interval corresponding to the cabinet, and also includes: taking the pixel points in the second mapping image whose grayscale values ​​are within the grayscale value distribution interval corresponding to the cabinet as the constituent pixel points of the cabinet imaging area in the third mapping image.

3. The computer algorithm operating system of the zero-carbon smart park information analysis workstation according to claim 2, characterized in that: The system further comprises: a storage supply component, disposed near the first mapping device, the second mapping device, the third mapping device and the object identification mechanism and connected to the first mapping device, the second mapping device, the third mapping device and the object identification mechanism respectively; Among them, the storage supply component is arranged near the first mapping device, the second mapping device, the third mapping device and the object identification mechanism and is respectively connected to the first mapping device, the second mapping device, the third mapping device and the object identification mechanism, including: the storage supply component is used to respectively implement the cache operation of the input signals and output signals of the first mapping device, the second mapping device, the third mapping device and the object identification mechanism.

4. The computer algorithm operating system of the zero-carbon smart park information analysis workstation according to claim 2, characterized in that: The system further comprises: A positioning server device is arranged near the first mapping device, the second mapping device, the third mapping device and the object identification mechanism and is connected to the first mapping device, the second mapping device, the third mapping device and the object identification mechanism respectively; Among them, the positioning server component is arranged near the first mapping device, the second mapping device, the third mapping device and the object identification mechanism and is respectively connected to the first mapping device, the second mapping device, the third mapping device and the object identification mechanism, including: the positioning server component is used to provide positioning data services based on the Beidou navigation mechanism for the first mapping device, the second mapping device, the third mapping device and the object identification mechanism respectively.

5. The computer algorithm operating system of the zero-carbon smart park information analysis workstation according to any one of claims 2 to 4, characterized in that: The image optimization mechanism is used to perform image data processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively.

6. The computer algorithm operating system of the zero-carbon smart park information analysis workstation according to claim 5, characterized in that: Using a picture optimization mechanism to perform image data processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively includes: performing USM filter sharpening processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively.

7. The computer algorithm operating system of the zero-carbon smart park information analysis workstation according to claim 5, characterized in that: Using a picture optimization mechanism to perform image data processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively includes: performing histogram equalization processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively.

8. The computer algorithm operating system of the zero-carbon smart park information analysis workstation according to claim 5, characterized in that: Using a picture optimization mechanism to perform image data processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively includes: performing gamma correction on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively.

9. The computer algorithm operating system of the zero-carbon smart park information analysis workstation according to claim 5, characterized in that: Using a picture optimization mechanism to perform image data processing on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively includes: performing point image restoration on the output data of the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism to obtain the output processing data corresponding to the first mapping device, the second mapping device, the third mapping device and the object recognition mechanism respectively.