Sugarcane processing data processing visualization system based on cloud platform

Abstract

The invention discloses a sugarcane processing data processing visualization system based on a cloud platform, and relates to the field of data processing, and the system comprises a processing data management platform which is provided with a processing data collection module, a processing data processing module, a processing data transmission module, a processing data analysis module and a data visualization module; the processing data acquisition module is used for acquiring processing monitoring data; the processing data processing module is used for acquiring a processing flow processing result; the processing data transmission module is used for transmitting data and constructing a processing flow processing link; the processing data analysis module is used for analyzing and processing data in the processing flow processing link to generate a mapping correlation parameter comparison table; the data visualization module is used for carrying out personalized processing on the corresponding visualization image according to the mapping correlation parameter comparison table to generate a processing link visualization image; according to the method, the processing efficiency and the individuation degree of the data processing visualization process are improved to a certain extent.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a sugarcane processing data processing visualization system based on a cloud platform. Background Art

[0002] Sugarcane is an important sugar crop in the world and a vital source of bioenergy and chemical raw materials. The industrial chain involves multiple links such as planting, harvesting, processing, and sales. In traditional sugarcane processing, production management mostly relies on manual operations, which is not only inefficient but also prone to errors and omissions. At the same time, because data is scattered across various production links and departments and lacks effective integration and management, data sharing and analysis are difficult. With the emergence of cloud computing technology, it provides enterprises with a convenient and efficient computing resource sharing model, thereby improving enterprise management efficiency.

[0003] However, in the process of visualizing data information through cloud computing and cloud platform technology, the security of the corresponding data in the cloud platform is reduced to a certain extent. In addition, by analyzing and processing the data of the corresponding sugarcane processing process, personalized needs and background data of the corresponding process are ignored to a certain extent, thereby reducing the amount of data information in the data processing visualization process. For this reason, the present invention proposes a sugarcane processing data processing visualization system based on a cloud platform. Summary of the Invention

[0004] The purpose of the present invention is to solve the shortcomings of the existing technology, such as insufficient security and insufficient personalized needs, and to propose a sugarcane processing data processing visualization system based on a cloud platform.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A cloud-based sugarcane processing data processing and visualization system includes a processing data management platform, wherein the processing data management platform is provided with a processing data acquisition module, a processing data processing module, a processing data transmission module, a processing data analysis module, and a data visualization module; The processing data acquisition module is used to obtain processing process data, set processing acquisition equipment according to the processing process data, and collect processing monitoring data corresponding to the corresponding processing process data based on the processing acquisition equipment; The processing data processing module is used to analyze and process the obtained processing monitoring data according to the corresponding processing flow data, obtain the processing results of the processing flow, and perform marking processing; The processing data transmission module is used to securely transmit the obtained processing results and processes of the processing flow, and to build a processing flow processing link based on the data security transmission results; The processing data analysis module is used to analyze and process the corresponding sugarcane processing processes within the processing process link, determine the processing correlation data between the corresponding sugarcane processing processes, obtain corresponding guidance parameters based on the corresponding correlation data, and generate a mapping association parameter comparison table; The data visualization module is used to obtain the corresponding processing correlation data in each processing flow processing link according to the corresponding mapping association parameter comparison table for progressive processing, set the corresponding basic link visualization image and progressive link visualization image, and perform personalized processing according to the staff account information to generate a processing link visualization image.

[0006] The above technical solution further includes: the process of obtaining processing monitoring data includes: Set up process collection unit and processing collection unit; The process collection unit is used to collect different types of processing technology information within the corresponding enterprise, analyze and process the obtained processing technology information respectively, and obtain the processing process data corresponding to the corresponding type of processing technology information; The processing acquisition unit is used to set corresponding processing acquisition equipment according to the processing flow data corresponding to different types of processing technology information. The processing acquisition equipment is used to monitor and collect the processing corresponding to different processing flow data in the corresponding processing technology information, obtain corresponding processing monitoring data, and mark and process it according to the corresponding collection time and processing acquisition equipment.

[0007] Furthermore, the process of obtaining the processing results of the processing flow includes: Set up process management units and process processing units; The process management unit is used to obtain the processing flow data corresponding to the corresponding processing technology information, perform statistical analysis on the processing flow data corresponding to different processing technology information, and set the corresponding process processing node according to the statistical analysis results; The process processing unit is used for the corresponding process processing node to obtain the processing monitoring data corresponding to the processing process data corresponding to the corresponding processing technology information, and the corresponding process processing node analyzes and processes the obtained processing monitoring data respectively to obtain the corresponding processing process processing results, and marks the processing process processing results obtained in the corresponding process processing node.

[0008] Furthermore, the process of securely transmitting the obtained processing results and processes includes: The processing data transmission module is provided with a secure transmission unit and a transmission management unit; The secure transmission unit is used for the corresponding process processing node to transmit the data information corresponding to the completed processing process results and the process, extract features from the corresponding processing monitoring data and processing process results, and obtain corresponding monitoring feature data and process processing feature data respectively; The obtained monitoring feature data and process processing feature data are respectively subjected to data encryption conversion, node scrambling processing is performed according to the data encryption conversion results, encryption processing is performed based on the AES encryption technology according to the node scrambling processing results, and node encryption information is generated and sent to the transmission management unit.

[0009] Furthermore, the process of building a processing link includes: The transmission management unit is used to transmit the node encryption information obtained from the process processing node corresponding to the corresponding type of processing technology information, and obtain the data security transmission result corresponding to the corresponding process processing node; The data security transmission results obtained in each process processing node are horizontally connected and vertically connected respectively. The data security transmission results corresponding to the corresponding process processing nodes are horizontally connected according to the processing flow data corresponding to the corresponding processing technology information. The data security transmission results corresponding to the process processing nodes are vertically connected according to the collection time. The corresponding processing technology information is spirally stored according to the horizontal and vertical connection results, and the corresponding processing flow processing link is constructed according to the spiral storage results.

[0010] Furthermore, the process of analyzing and processing the corresponding sugarcane processing process within the processing process link includes: The processing data analysis module is provided with a data analysis unit and a parameter analysis unit; The data analysis unit is used to decrypt the obtained data security transmission results according to the data security transmission results corresponding to each process processing node in the processing process processing link corresponding to the corresponding type of processing technology information, and obtain the corresponding monitoring feature data and process processing feature data according to the decryption results; Extract and combine the monitoring feature data and the process processing feature data according to the connection management within the processing process link to which the corresponding process processing node belongs, perform correlation analysis based on the data extraction and combination based on the big data analysis algorithm, obtain corresponding correlation data, and set corresponding background guidance parameters and dynamic guidance parameters according to the corresponding correlation data; The parameter analysis unit is used to analyze and process the data extraction combination corresponding to the background guidance parameters and dynamic guidance parameters, set up mapping association parameter comparison tables corresponding to the corresponding background guidance parameters and dynamic guidance parameters, and mark and store the mapping association parameter comparison tables obtained by each processing flow processing link.

[0011] Furthermore, the process of setting the corresponding basic link visualization image and progressive link visualization image includes: The data visualization module is provided with a basic processing unit and a progressive processing unit; The basic processing unit is used to perform visual display processing based on the data transmission results of the monitoring feature data and process processing feature data corresponding to the corresponding process processing node in the corresponding processing process processing link, and construct a basic link visualization image corresponding to the process processing node corresponding to the corresponding processing technology information; The progressive processing unit is used to obtain a basic link visualization image corresponding to a process processing node corresponding to the corresponding processing technology information and a corresponding mapping association parameter comparison table; According to the corresponding mapping association parameter comparison table, the basic link visualization image currently corresponding to the corresponding process processing node in the processing process processing link is traversed and processed, and the guidance visualization image corresponding to the corresponding background guidance parameter and dynamic guidance parameter is obtained according to the traversal processing result; The obtained guidance visualization images are analyzed and processed, and image evaluation standard data are preset. Each obtained guidance visualization image is analyzed and processed according to the corresponding image evaluation standard data, and the guidance visualization image corresponding to the image evaluation standard data is obtained. The guidance visualization image is marked according to the mapping association parameter comparison table to generate a progressive link visualization image.

[0012] Furthermore, the process of generating a visualization image of the processing link includes: The data visualization module is provided with a personalization processing unit and a visualization processing unit; The personalized processing unit is used to obtain the staff account information corresponding to the corresponding process processing node in the corresponding processing process processing link, obtain historical personalized reference information based on the corresponding staff account information, analyze and process the corresponding historical personalized reference information, and obtain corresponding personalized feature information; The visualization processing unit is used to perform matching analysis on the progressive link visualization image according to the personalized feature information corresponding to the corresponding staff account information and the corresponding basic link visualization image and progressive link visualization image according to the corresponding personalized feature information, and perform overlay analysis on the matching result and the corresponding basic link visualization image to generate a processing link visualization image.

[0013] The present invention has the following beneficial effects: 1. In the present invention, features are extracted from the processing monitoring data corresponding to the process processing nodes corresponding to the corresponding processing technology information, data encryption and transmission are performed based on the feature extraction results, and the data encryption and transmission results are shared to the cloud platform. A processing process processing link is set according to the data transmission results, and the data information in the corresponding process processing nodes is managed and stored through the processing process processing link, thereby ensuring, to a certain extent, the security of the corresponding processing monitoring data at each process processing node and the data processing efficiency.

[0014] 2. In the present invention, by analyzing and processing the data information between the corresponding process processing nodes, the corresponding background guidance parameters and dynamic guidance parameters are obtained, and the corresponding mapping association parameter comparison table is set according to the background guidance parameters and dynamic guidance parameters. The corresponding visualization background and dynamic background are integrated according to the mapping association parameter comparison table, thereby improving the situation where the corresponding processing background is easily ignored during the data visualization processing process, thereby providing the staff with more comprehensive data information.

[0015] 3. In the present invention, by personalizing the corresponding historical personalized reference information in the staff account information, the obtained basic link visualization image and progressive link visualization image are personalized analyzed according to the corresponding personalized feature information, thereby generating the corresponding processing link visualization image, which improves the flexibility of the data processing visualization process to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a structural schematic diagram of a cloud platform-based sugarcane processing data processing visualization system proposed in the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0018] Example 1 like Figure 1 As shown, the present invention proposes a cloud platform-based sugarcane processing data processing visualization system, including a processing data management platform, in which a processing data acquisition module, a processing data processing module, a processing data transmission module, a processing data analysis module and a data visualization module are provided.

[0019] In this embodiment, the processing data management platform is used to analyze and process the process processing nodes corresponding to the corresponding sugarcane processing technology information, perform data transmission and visualization processing based on the analysis and processing results, and comprehensively manage the corresponding processing technology information through data transmission and corresponding visualization processing results, thereby improving the data management efficiency and personalization of the sugarcane processing data processing process to a certain extent. The specific implementation process includes: The processing data acquisition module is used to obtain processing process data, set processing acquisition equipment according to the processing process data, and collect processing monitoring data corresponding to the corresponding processing process data based on the processing acquisition equipment. The specific implementation process includes: The processing data acquisition module is provided with a process acquisition unit and a processing acquisition unit; The process collection unit is provided with a process collection window and a manual collection window; The process collection window is used to collect different types of processing technology information within the corresponding enterprise, the processing technology information involving technical solutions, method steps and equipment parameters corresponding to the corresponding processing target type, and analyze and process the processing equipment and equipment parameters involved in the corresponding method steps in the obtained processing technology information to obtain processing flow data corresponding to the corresponding type of processing technology information, the processing flow data being obtained based on the equipment parameters involved in the method steps corresponding to the corresponding processing technology information; The manual collection window is used to associate with the processing flow data corresponding to the corresponding processing equipment, and obtain the corresponding staff account information according to the corresponding processing flow data. The staff account information includes the corresponding account basic information and account history information; The processing acquisition unit is used to set corresponding processing acquisition equipment according to the processing process data corresponding to different types of processing technology information. The processing acquisition equipment is used to monitor and collect the processing process corresponding to different processing process data in the corresponding processing technology information, obtain corresponding processing monitoring data, and mark it according to the corresponding collection time and processing acquisition equipment; It should be further explained that, in the specific implementation process, the processing acquisition equipment corresponding to the processing process data includes corresponding sensors, and the operating status data of the corresponding processing equipment and the sugarcane processing data are obtained according to the corresponding sensors, and the obtained operating status data and sugarcane processing data are marked as corresponding processing monitoring data.

[0020] The processing data processing module is used to analyze and process the obtained processing monitoring data according to the corresponding processing flow data, obtain the processing flow processing results, and perform marking processing. The specific implementation process includes: The processing data processing module is provided with a process management unit and a process processing unit; The process management unit obtains processing flow data corresponding to the corresponding processing technology information, analyzes and processes the processing flow data corresponding to the processing technology information involved in each sugarcane processing equipment, obtains processing flow data corresponding to different equipment parameters corresponding to the corresponding sugarcane processing equipment, performs statistical analysis on the corresponding processing flow data, sets corresponding statistical analysis results, determines the amount of processing flow data involved in the corresponding sugarcane processing equipment, sets process processing nodes according to the corresponding sugarcane processing equipment, and respectively marks the equipment parameters involved in the corresponding processing flow data in the corresponding process processing nodes; The process processing unit is used for the corresponding process processing node to obtain the processing monitoring data corresponding to the processing process data corresponding to the corresponding processing technology information, and the corresponding process processing node respectively analyzes and processes the obtained processing monitoring data, sets a historical processing monitoring data set according to the processing monitoring data corresponding to the corresponding type, analyzes and trains the obtained historical processing monitoring data set based on the deep learning algorithm, constructs a data analysis model, inputs the corresponding processing monitoring data into the corresponding data analysis model, obtains the corresponding processing flow processing results, and marks the processing flow processing results obtained in the corresponding process processing node.

[0021] The processing data transmission module is used to securely transmit the obtained processing results and processes of the processing flow, and to build a processing flow processing link based on the data security transmission results. The specific implementation process includes: The processing data transmission module is provided with a secure transmission unit and a transmission management unit; The secure transmission unit is used for the corresponding process processing node to transmit the data information corresponding to the completed processing process results and the process, extract features from the corresponding processing monitoring data and processing process results, and obtain corresponding monitoring feature data and process processing feature data respectively; It should be further explained that, in the specific implementation process, by extracting features from the processing monitoring data and the processing flow results, obtaining the corresponding monitoring feature data and process processing feature data, and securely transmitting the obtained monitoring feature data and process processing feature data, the data processing sharing is guaranteed to a certain extent, while also retaining the original data corresponding to the processing monitoring data and the processing flow results; Perform data encryption conversion on the acquired monitoring feature data and process processing feature data respectively, preset an encryption database, wherein the encryption database is provided with a character code set corresponding to the corresponding feature data, obtain the corresponding encryption conversion character in the corresponding character code set in the corresponding encryption database according to the feature data corresponding to the corresponding monitoring feature data and process processing feature data and the corresponding collection time, and obtain the data encryption conversion result corresponding to the corresponding monitoring feature data and process processing feature data; Perform node scrambling processing on the obtained data encryption conversion result, set a corresponding scrambling operation sorting number, obtain the scrambling operation data corresponding to the scrambling operation sorting number in sequence according to the acquisition order of the data encryption conversion result, perform scrambling processing on the data encryption conversion result according to the corresponding scrambling operation data, and obtain the corresponding node scrambling processing result; Obtain the corresponding node scrambling processing result, perform encryption processing based on the node scrambling processing result based on the AES encryption technology, generate node encryption information and send it to the transmission management unit; The transmission management unit is used to transmit the node encryption information obtained from the process processing node corresponding to the corresponding type of processing technology information, and obtain the data security transmission result corresponding to the corresponding process processing node; The data security transmission results obtained in each process processing node are horizontally connected and vertically connected respectively. The data security transmission results corresponding to the corresponding process processing nodes are horizontally connected according to the processing flow data corresponding to the corresponding processing technology information. The data security transmission results corresponding to the process processing nodes are vertically connected according to the collection time. The corresponding processing technology information is spirally stored according to the horizontal and vertical connection results, and the corresponding processing flow processing link is constructed according to the spiral storage results.

[0022] The processing data analysis module is used to analyze and process the corresponding sugarcane processing processes within the processing process link, determine the processing correlation data between the corresponding sugarcane processing processes, obtain corresponding guidance parameters based on the corresponding correlation data, and generate a mapping association parameter comparison table. The specific implementation process includes: The processing data analysis module is provided with a data analysis unit and a parameter analysis unit; The data analysis unit is used to decrypt the obtained data security transmission results according to the data security transmission results corresponding to each process processing node in the processing process processing link corresponding to the corresponding type of processing technology information, and obtain the corresponding monitoring feature data and process processing feature data according to the decryption results; Performing data extraction and combination on the monitoring feature data and the process processing feature data according to the connection management within the processing process processing link to which the corresponding process processing node belongs, performing correlation analysis based on the data extraction and combination based on the big data analysis algorithm to obtain corresponding correlation data, performing variable analysis based on the corresponding correlation data, and obtaining characteristic variable factor data between the corresponding process processing nodes based on the variable analysis results, wherein the characteristic variable factor data includes corresponding independent variable factor data, dependent variable factor data, and irrelevant variable factor data; Setting the dependent variable factor data corresponding to the independent variable factor data as the background guidance parameters corresponding to the corresponding process processing nodes, wherein the background guidance parameters are the linear parameter relationship between the dependent variable factor data corresponding to the independent variable factor data; Setting the irrelevant variable factor data as the dynamic guidance parameters corresponding to the corresponding process processing nodes, wherein the dynamic guidance parameters are the corresponding parameter relationships between the corresponding irrelevant variable factor data; The parameter analysis unit is used to analyze and process the data extraction combinations corresponding to the background guidance parameters and the dynamic guidance parameters, and respectively set a mapping association parameter comparison table corresponding to the corresponding background guidance parameters and the dynamic guidance parameters, wherein the mapping association parameter comparison table is a data reference relationship between corresponding feature data of each data in each data extraction combination; The mapping association parameter comparison table obtained from each processing link of the processing flow is marked and stored.

[0023] The data visualization module is used to obtain the corresponding processing correlation data in each processing link of the processing flow according to the corresponding mapping association parameter comparison table, perform progressive processing, set the corresponding basic link visualization image and progressive link visualization image, and perform personalized processing according to the staff account information to generate the processing link visualization image. The specific implementation process includes: The data visualization module is provided with a basic processing unit, a progressive processing unit, a personalized processing unit and a visualization processing unit; The basic processing unit is used to perform visual display processing based on the data transmission results of the monitoring feature data and process processing feature data corresponding to the corresponding process processing node in the corresponding processing process processing link, and construct a basic link visualization image corresponding to the process processing node corresponding to the corresponding processing technology information. The basic link visualization image is set with corresponding visualization types according to the feature data types corresponding to the corresponding monitoring feature data and process processing feature data, and the corresponding feature data is mapped in turn according to the corresponding visualization type, and the corresponding basic link visualization image is obtained according to the mapping processing result; The progressive processing unit is used to obtain a basic link visualization image corresponding to a process processing node corresponding to the corresponding processing technology information and a corresponding mapping association parameter comparison table; According to the corresponding mapping association parameter comparison table, the basic link visualization image currently corresponding to the corresponding process processing node in the processing process processing link is traversed and processed, and the corresponding basic link visualization image is subjected to background guidance processing or dynamic guidance processing respectively with the visualization image element corresponding to the corresponding data information according to the background guidance parameters or dynamic guidance parameters corresponding to the corresponding type of feature data. The background guidance processing is to set the guidance mapping visualization image corresponding to the corresponding visualization image element according to the corresponding background guidance parameters of the corresponding type of feature data; the dynamic guidance processing is to set the guidance mapping visualization image corresponding to the corresponding visualization image element according to the corresponding dynamic guidance parameters of the corresponding type of feature data; Obtaining guidance mapping visualization images corresponding to the corresponding background guidance parameters and dynamic guidance parameters according to the traversal processing results, integrating the various guidance mapping visualization images respectively to obtain corresponding guidance visualization images; Analyze and process the obtained guidance visualization images, preset image evaluation standard data, analyze and process each obtained guidance visualization image according to the corresponding image evaluation standard data, obtain the guidance visualization image corresponding to the image evaluation standard data, mark it according to the mapping association parameter comparison table, and generate a progressive link visualization image; The personalized processing unit is used to obtain the staff account information corresponding to the corresponding process processing node in the corresponding processing process processing link, obtain historical personalized reference information based on the corresponding staff account information, analyze and process the corresponding historical personalized reference information, and obtain corresponding personalized feature information; The visualization processing unit is used to perform matching analysis on the progressive link visualization image according to the personalized feature information corresponding to the corresponding staff account information and the corresponding basic link visualization image and progressive link visualization image according to the corresponding personalized feature information, and perform overlay analysis on the matching result and the corresponding basic link visualization image to generate a processing link visualization image.

[0024] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A cloud-based sugarcane processing data visualization system, including a processing data management platform, characterized in that: The processing data management platform is provided with a processing data acquisition module, a processing data processing module, a processing data transmission module, a processing data analysis module and a data visualization module; The processing data acquisition module is used to obtain processing process data, set processing acquisition equipment according to the processing process data, and collect processing monitoring data corresponding to the corresponding processing process data based on the processing acquisition equipment; The processing data processing module is used to analyze and process the obtained processing monitoring data according to the corresponding processing flow data, obtain the processing results of the processing flow, and perform marking processing; The processing data transmission module is used to securely transmit the obtained processing results and processes of the processing flow, and to build a processing flow processing link based on the data security transmission results; The processing data analysis module is used to analyze and process the corresponding sugarcane processing processes within the processing process link, determine the processing correlation data between the corresponding sugarcane processing processes, obtain corresponding guidance parameters based on the corresponding correlation data, and generate a mapping association parameter comparison table; The data visualization module is used to obtain the corresponding processing correlation data in each processing flow processing link according to the corresponding mapping association parameter comparison table for progressive processing, set the corresponding basic link visualization image and progressive link visualization image, and perform personalized processing according to the staff account information to generate a processing link visualization image.

2. The cloud platform-based sugarcane processing data processing visualization system according to claim 1, characterized in that: The process of obtaining processing monitoring data includes: Set up process collection unit and processing collection unit; The process collection unit is used to collect different types of processing technology information within the corresponding enterprise, analyze and process the obtained processing technology information respectively, and obtain the processing process data corresponding to the corresponding type of processing technology information; The processing acquisition unit is used to set corresponding processing acquisition equipment according to the processing flow data corresponding to different types of processing technology information. The processing acquisition equipment is used to monitor and collect the processing corresponding to different processing flow data in the corresponding processing technology information, obtain corresponding processing monitoring data, and mark and process it according to the corresponding collection time and processing acquisition equipment.

3. The cloud platform-based sugarcane processing data processing visualization system according to claim 2, characterized in that: The process of obtaining the processing results of the processing flow includes: Set up process management units and process processing units; The process management unit is used to obtain the processing flow data corresponding to the corresponding processing technology information, perform statistical analysis on the processing flow data corresponding to different processing technology information, and set the corresponding process processing node according to the statistical analysis results; The process processing unit is used for the corresponding process processing node to obtain the processing monitoring data corresponding to the processing process data corresponding to the corresponding processing technology information, and the corresponding process processing node analyzes and processes the obtained processing monitoring data respectively to obtain the corresponding processing process processing results, and marks the processing process processing results obtained in the corresponding process processing node.

4. The cloud platform-based sugarcane processing data processing visualization system according to claim 3, characterized in that: The process of securely transmitting the obtained processing results and processes includes: The processing data transmission module is provided with a secure transmission unit and a transmission management unit; The secure transmission unit is used for the corresponding process processing node to transmit the data information corresponding to the completed processing process results and the process, extract features from the corresponding processing monitoring data and processing process results, and obtain corresponding monitoring feature data and process processing feature data respectively; The obtained monitoring feature data and process processing feature data are respectively subjected to data encryption conversion, node scrambling processing is performed according to the data encryption conversion results, encryption processing is performed based on the AES encryption technology according to the node scrambling processing results, and node encryption information is generated and sent to the transmission management unit.

5. The cloud platform-based sugarcane processing data processing visualization system according to claim 4, characterized in that: The process of building a processing chain includes: The transmission management unit is used to transmit the node encryption information obtained from the process processing node corresponding to the corresponding type of processing technology information, and obtain the data security transmission result corresponding to the corresponding process processing node; The data security transmission results obtained in each process processing node are horizontally connected and vertically connected respectively. The data security transmission results corresponding to the corresponding process processing nodes are horizontally connected according to the processing flow data corresponding to the corresponding processing technology information. The data security transmission results corresponding to the process processing nodes are vertically connected according to the collection time. The corresponding processing technology information is spirally stored according to the horizontal and vertical connection results, and the corresponding processing flow processing link is constructed according to the spiral storage results.

6. The cloud platform-based sugarcane processing data processing visualization system according to claim 5, characterized in that: The process of analyzing and processing the corresponding sugarcane processing process within the processing process chain includes: The processing data analysis module is provided with a data analysis unit and a parameter analysis unit; The data analysis unit is used to decrypt the obtained data security transmission results according to the data security transmission results corresponding to each process processing node in the processing process processing link corresponding to the corresponding type of processing technology information, and obtain the corresponding monitoring feature data and process processing feature data according to the decryption results; Extract and combine the monitoring feature data and the process processing feature data according to the connection management within the processing process link to which the corresponding process processing node belongs, perform correlation analysis based on the data extraction and combination based on the big data analysis algorithm, obtain corresponding correlation data, and set corresponding background guidance parameters and dynamic guidance parameters according to the corresponding correlation data; The parameter analysis unit is used to analyze and process the data extraction combination corresponding to the background guidance parameters and dynamic guidance parameters, set up mapping association parameter comparison tables corresponding to the corresponding background guidance parameters and dynamic guidance parameters, and mark and store the mapping association parameter comparison tables obtained by each processing flow processing link.

7. The cloud platform-based sugarcane processing data processing visualization system according to claim 6, characterized in that: The process of setting up the corresponding basic link visualization images and progressive link visualization images includes: The data visualization module is provided with a basic processing unit and a progressive processing unit; The basic processing unit is used to perform visual display processing based on the data transmission results of the monitoring feature data and process processing feature data corresponding to the corresponding process processing node in the corresponding processing process processing link, and construct a basic link visualization image corresponding to the process processing node corresponding to the corresponding processing technology information; The progressive processing unit is used to obtain a basic link visualization image corresponding to a process processing node corresponding to the corresponding processing technology information and a corresponding mapping association parameter comparison table; According to the corresponding mapping association parameter comparison table, the basic link visualization image currently corresponding to the corresponding process processing node in the processing process processing link is traversed and processed, and the guidance visualization image corresponding to the corresponding background guidance parameter and dynamic guidance parameter is obtained according to the traversal processing result; The obtained guidance visualization images are analyzed and processed, and image evaluation standard data are preset. Each obtained guidance visualization image is analyzed and processed according to the corresponding image evaluation standard data, and the guidance visualization image corresponding to the image evaluation standard data is obtained. The guidance visualization image is marked according to the mapping association parameter comparison table to generate a progressive link visualization image.

8. The cloud platform-based sugarcane processing data processing visualization system according to claim 7, characterized in that: The process of generating a visualization image of the processing chain includes: The data visualization module is provided with a personalization processing unit and a visualization processing unit; The personalized processing unit is used to obtain the staff account information corresponding to the corresponding process processing node in the corresponding processing process processing link, obtain historical personalized reference information based on the corresponding staff account information, analyze and process the corresponding historical personalized reference information, and obtain corresponding personalized feature information; The visualization processing unit is used to perform matching analysis on the progressive link visualization image according to the personalized feature information corresponding to the corresponding staff account information and the corresponding basic link visualization image and progressive link visualization image according to the corresponding personalized feature information, and perform overlay analysis on the matching result and the corresponding basic link visualization image to generate a processing link visualization image.

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