Multi-dimensional information traceability product quality control method

Abstract

The invention discloses a multi-dimensional information traceability product quality control method, which comprises the following steps: acquiring basic data, and processing and analyzing the basic data; according to preset parameters, inputting the unique number of the product, and performing security processing on the basic data; setting a hyperlink capable of jumping to a detection analysis result page of the corresponding product; respectively accessing a plurality of access systems through the authenticated Web API interface; according to the method, the original data are decoded by utilizing the matched decryption algorithm, the original data are recovered, unified management is carried out through the data integration platform, multi-system fusion and safe and efficient whole-process tracing can be realized through the method, and the accuracy and the tracing efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the field of information security processing, and in particular to a multi-dimensional information traceability product quality control method. Background Art

[0002] Electronic-grade hydrofluoric acid (HF) is a key chemical widely used in the semiconductor manufacturing industry, which has particularly stringent requirements on product quality. Any minor quality problem may lead to major defects in the finished product, thus affecting the entire production process and the performance of the final product. The production process of electronic-grade hydrofluoric acid is complex, involving multiple stages such as raw material procurement, production process, inspection and testing, packaging and transportation. In order to ensure the product quality of each link, each production link needs to be strictly monitored and managed, so that when the product quality is abnormal, all relevant production information of the product can be quickly and accurately traced.

[0003] At present, for the quality traceability of electronic-grade hydrofluoric acid products, the laboratory needs to trace the analytical test data of raw materials, intermediates and finished products through the laboratory management system (Lims system), the production department needs to trace the process parameters of the product production process through the DCS system, and the filling department needs to trace the cleaning, filling and use times of the packaging through the warehouse management system (WMS system). Finally, the traceability personnel will use offline record forms to associate the relevant raw materials, intermediates and finished product batches and the peripheral information of the packaging. The quality traceability process, due to the intersection of multiple information systems, leads to low traceability efficiency. It requires manual cross-dimensional information systems and manual verification of each piece of information. Due to the frequent manual operations and the dispersion of information systems, it often leads to inconsistent and missing information, which not only affects the efficiency of traceability, but also increases the risk of quality management. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a multi-dimensional information traceability product quality control method, through which multi-system integration, safe and efficient full-process traceability can be achieved, thereby improving accuracy and traceability efficiency.

[0005] The multi-dimensional information traceability product quality control method provided by the present invention comprises the following steps performed in sequence:

[0006] (1) Collect basic data for the product production process, process and analyze the basic data, extract useful information and form preset parameters;

[0007] (2) Set up the front-end display interface, input the unique product number through the one-key traceability mark according to the preset parameters, and process the basic data for security;

[0008] (3) Based on the unique product number, set a hyperlink that can jump to the test and analysis result page of the corresponding product;

[0009] (4) Access multiple access systems through the authenticated Web API interface;

[0010] (5) Decode using a matching decryption algorithm to restore the original data, which is then managed uniformly through a data integration platform.

[0011] Furthermore, the unique product number in step (2) is the unique batch number corresponding to the raw material, intermediate product and finished product, which is the number corresponding to each production record, and the preset parameters are parameters for data traceability.

[0012] Furthermore, the security processing of the basic data in step (2) specifically includes the following steps:

[0013] (2.1) After the unique product number is generated, a random code is generated using a strongly encrypted random number generator, and the random code is used to perform a preset encryption process on the basic data corresponding to the unique number to generate an encrypted code string;

[0014] (2.2) Based on the encrypted code string, the encrypted basic data is grouped according to a preset classification standard, and the data in the same group is associated through the code;

[0015] (2.3) Setting different combined processing paths for the grouped data;

[0016] (2.4) Specific markings are performed for different combined processing paths, and adaptation parameters are generated accordingly.

[0017] Furthermore, the step (2.3) specifically includes: public data is processed using a fast and low-resource consumption path; intranet data is processed using a path combined with an identity authentication mechanism; sensitive data is processed using a high-security level path combined with multiple identity authentication and a dynamic key generation mechanism.

[0018] Furthermore, the hyperlinks to the detection and analysis result pages of the corresponding products in step (3) include hyperlinks to the detection and analysis result pages of raw materials, intermediates and finished products; when the user clicks on the hyperlinks, the system transmits the unique code of the product to the detection result pages respectively.

[0019] Furthermore, the step (4) specifically comprises the following steps:

[0020] (4.1) Access the test data corresponding to the unique product number in the laboratory information management system LIMS through the authenticated Web API interface;

[0021] (4.2) Access the distributed control system DCS backend database through the authenticated Web API interface;

[0022] (4.3) Access the corresponding packaging data in the warehouse management system WMS through the authenticated Web API interface;

[0023] (4.4) The data information accessed in steps (4.1)-(4.3) are synchronously mapped and displayed on the page.

[0024] Furthermore, the step (5) specifically includes:

[0025] (5.1) Perform label parsing to extract data category, path identifier and adaptation parameter information;

[0026] (5.2) Select the corresponding decryption path and algorithm based on the parsed tag information;

[0027] (5.3) Ensure that the selected decryption algorithm is correct by identifying the corresponding adaptation parameters and perform data restoration;

[0028] (5.4) Use the matching decryption algorithm to decode the data and restore the original data.

[0029] Compared with the prior art, the multi-dimensional information traceability product quality control method of the present invention can achieve:

[0030] (1) The three independent information systems (Lims system, DCS system, and WMS system) are connected in series, solving the problem that the various information systems are scattered and cannot be fully integrated. Multiple data are integrated in a unified way, which facilitates the monitoring of the entire production process and realizes the traceability of products from beginning to end. At the same time, the platform front-end displays hyperlinks on the page, so that traceability personnel can obtain process information and parameter trends by clicking the mouse, which is intuitive and greatly improves the traceability efficiency.

[0031] (2) In product quality control, the use of randomly generated codes combined with data classification, combined processing and tag decoding methods can protect information security and effectively prevent unauthorized access and tampering of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a flow chart of the multi-dimensional information traceability product quality control method. DETAILED DESCRIPTION

[0033] The specific implementation of the present invention is described in detail below. It is necessary to point out that the following implementation is only used for further explanation of the present invention and cannot be understood as limiting the scope of protection of the present invention. Some non-essential improvements and adjustments made to the present invention by persons skilled in the art based on the above-mentioned content of the present invention still fall within the scope of protection of the present invention.

[0034] The present invention provides a multi-dimensional information traceability product quality control method, and its specific implementation method is as shown in the attached Figure 1 As shown. Figure 1 This is a schematic diagram of the process of multi-dimensional information traceability product quality control method. The following is a detailed introduction to the process of multi-dimensional information traceability product quality control method.

[0035] First, basic data is collected for the product production process, processed and analyzed, and useful information is extracted to form preset parameters. Data collection can be achieved by various sensors and monitoring equipment, which are responsible for real-time collection of information such as the use of hydrofluoric acid, inventory status, and environmental monitoring data, and lay the foundation for subsequent information processing through continuous data input. The collected data needs to be processed and analyzed to extract useful information, including data storage and management, such as database system settings, and data analysis, so as to carry out subsequent processing and analysis of the use of hydrofluoric acid.

[0036] Secondly, set up the front-end display interface, and enter the unique product number through a one-click traceability mark according to the preset parameters. Among them, the unique product number corresponds to the unique batch number of the raw materials, intermediates and finished products, which is the number corresponding to each production record, and the preset parameters are the parameters of data traceability. In order to enable the production department to easily enter data, a user-friendly front-end display page is required so that the production department can easily enter data. The core function of the page is to achieve data traceability. The production department can enter the unique batch number of raw materials, intermediates and finished products through a one-click traceability mark according to the preset parameters, which not only simplifies the data entry process, but also ensures the accuracy and consistency of the data. Through the front-end display interface, the production department can record the key information of each batch of products in real time to form a complete production record. These records will become an important basis for subsequent traceability analysis and provide reliable data support for product quality monitoring and traceability.

[0037] As a chemical, electronic-grade hydrofluoric acid has high safety requirements, and the security of the process and data must be guaranteed during the production process. Therefore, in order to ensure the security of the data, the data needs to be processed for security. Specifically in the implementation process: First, after generating the unique product number, a strong encryption random number generator is used to generate a random code, and the basic data corresponding to the unique number is encrypted using the random code to generate an encrypted code string. The generated code should be unique to prevent confusion during the decryption process. At the same time, different lengths of codes can be generated according to the needs of different data types to improve flexibility; the encryption method can choose the AES advanced encryption standard, and by setting a suitable key generation and management mechanism, the encryption process can be guaranteed to be secure and efficient. Second, according to the encrypted code string, the encrypted basic data is grouped according to the preset classification standards (for example, grouped by type, grouped by production batch, grouped by warehouse location, etc.), and the data in the same group is associated through coding; third, for the grouped data, different combined processing paths are set, for example, for public data, fast and low-resource path processing is adopted; for intranet data, the path processing can be combined with the identity authentication mechanism to ensure that only authorized users can access; for sensitive data, high-security path processing is used, combined with multiple identity authentication and dynamic key generation mechanism to protect data security to the greatest extent. Through the design of different paths, the flexibility and security of data processing can be effectively improved. Fourth, specific markings are made for different combined processing paths, and adaptation parameters are generated accordingly to facilitate parameter matching during decoding. Through the marking mechanism, the data type and its processing process can be effectively identified during decoding. The adaptation parameters play an important auxiliary role in the marking process. By matching the adaptation parameters, the system can quickly and accurately find the corresponding decryption algorithm and process in the decoding stage to ensure the security and integrity of the data. This mechanism not only improves the decryption efficiency, but also effectively prevents potential attack risks.

[0038] Next, according to the unique product number, a hyperlink is set that can jump to the test and analysis result page of the corresponding product. Among them, the hyperlink of the test and analysis result page of the corresponding product includes the test and analysis result page hyperlinks of raw materials, intermediates and finished products. When the user clicks the hyperlink, the system transmits the unique code of the product to the test result page respectively.

[0039] Then, through the authenticated Web API interface, access multiple access systems respectively, use the matching decryption algorithm to decode, restore the original data, and manage it uniformly through the data integration platform. Based on middleware technology or API transmission, data interaction between multiple systems is realized, ensuring the real-time update and consistency of data while ensuring the integration of multiple systems.

[0040] Specifically, the test data corresponding to the unique product number in the laboratory information management system (LIMS) is accessed through the authenticated Web API interface. Through this mechanism, users can quickly obtain test data related to the product. The system screens out relevant test results based on the unique batch numbers of raw materials, intermediates and finished products, and synchronously maps and displays them on the page. The instant acquisition of this information not only improves the work efficiency of the production department, but also enhances the company's ability to control product quality. Specifically, the distributed control system DCS backend database is accessed through the Web API interface security protocol. In order to fully reflect the key parameters in the production process, the distributed control system DCS backend database is also accessed through the Web API interface security protocol. According to the unique batch numbers of raw materials, intermediates and finished products, the relevant DCS parameters of the product under the batch number can be mapped, including key indicators such as pressure, temperature, pressure difference, resistivity, etc. While displaying static parameters, the system also provides a dynamic data visualization display of each parameter before and after a period of time, so that users can intuitively understand the operation of the device at that time, discover potential production problems in time, and take corresponding adjustment measures. This dynamic data display not only improves the transparency of the production process, but also provides an important basis for subsequent quality analysis. Specifically, it also includes accessing the corresponding packaging data in the warehouse management system WMS through the authenticated WebAPI interface. According to the unique number of the packaging corresponding to each production record, a hyperlink function is set on the front-end display page, and users can jump to the corresponding result page by clicking. The system passes the unique code of the corresponding packaging to the result page, and accesses the data of the corresponding packaging in the warehouse management system WMS (such as packaging barrels, cleaning, filling times, warehousing and outbound information, etc.) through the authenticated Web API interface. By integrating this information, the entire process of the product from production to packaging can be fully grasped to ensure the quality traceability of each link. In addition, ETL (extraction, transformation, loading) technology can be used to effectively integrate and store data to form a unified data warehouse.

[0041] Among them, the process of decoding using a matching decryption algorithm to restore the original data includes label parsing to extract data category, path identification and adaptation parameter information; selecting the corresponding decryption path and algorithm based on the parsed label information; ensuring that the selected decryption algorithm is correct by identifying the corresponding adaptation parameters, and restoring the data; using a matching decryption algorithm to decode the data and restore the original data.

[0042] Although exemplary embodiments of the present invention have been described for the purpose of illustration, it will be understood by those skilled in the art that various modifications, additions and substitutions may be made in form and detail without departing from the scope and spirit of the invention disclosed in the appended claims, and all such changes shall fall within the scope of protection of the appended claims of the present invention, and the various steps in the various departments and methods of the products claimed by the present invention may be combined together in any combination. Therefore, the description of the embodiments disclosed in the present invention is not intended to limit the scope of the present invention, but is used to describe the present invention. Accordingly, the scope of the present invention is not limited by the above embodiments, but is defined by the claims or their equivalents.

Claims

1. A multi-dimensional information traceability product quality control method, characterized in that: The method comprises the following steps in sequence: (1) Collect basic data for the product production process, process and analyze the basic data, extract useful information and form preset parameters; (2) Set up the front-end display interface, input the unique product number through the one-key traceability mark according to the preset parameters, and process the basic data for security; (3) Based on the unique product number, set a hyperlink that can jump to the test and analysis result page of the corresponding product; (4) Access multiple access systems through the authenticated Web API interface; (5) Decode using a matching decryption algorithm to restore the original data, which is then managed uniformly through a data integration platform.

2. The method according to claim 1, characterized in that: The unique product number in step (2) is the unique batch number corresponding to the raw material, intermediate product and finished product, which is the number corresponding to each production record, and the preset parameters are the parameters of data traceability.

3. The method according to claim 1 or 2, characterized in that The security processing of the basic data in step (2) specifically includes the following steps: (2.1) After the unique product number is generated, a random code is generated using a strongly encrypted random number generator, and the random code is used to perform a preset encryption process on the basic data corresponding to the unique number to generate an encrypted code string; (2.2) Based on the encrypted code string, the encrypted basic data is grouped according to a preset classification standard, and the data in the same group is associated through the code; (2.3) Setting different combined processing paths for the grouped data; (2.4) Specific markings are performed for different combined processing paths, and adaptation parameters are generated accordingly.

4. The method according to claim 3, characterized in that: The step (2.3) specifically includes: public data is processed using a fast and low-resource consumption path; intranet data is processed using a path combined with an identity authentication mechanism; sensitive data is processed using a high-security path combined with multiple identity authentication and a dynamic key generation mechanism.

5. The method according to claim 4, characterized in that: The hyperlinks to the detection and analysis result pages of the corresponding products in step (3) include hyperlinks to the detection and analysis result pages of raw materials, intermediates and finished products; when the user clicks on the hyperlinks, the system transmits the unique code of the product to the detection result pages respectively.

6. The method according to claim 5, characterized in that The step (4) specifically comprises the following steps: (4.1) Access the test data corresponding to the unique product number in the laboratory information management system LIMS through the authenticated Web API interface; (4.2) Access the distributed control system DCS backend database through the authenticated Web API interface; (4.3) Access the corresponding packaging data in the warehouse management system WMS through the authenticated Web API interface; (4.4) The data information accessed in steps (4.1)-(4.3) are synchronously mapped and displayed on the page.

7. The method according to claim 6, characterized in that The step (5) specifically comprises: (5.1) Perform label parsing to extract data category, path identifier and adaptation parameter information; (5.2) Select the corresponding decryption path and algorithm based on the parsed tag information; (5.3) Ensure that the selected decryption algorithm is correct by identifying the corresponding adaptation parameters and perform data restoration; (5.4) Use the matching decryption algorithm to decode the data and restore the original data.

Images