Industrial internet-based intelligent monitoring and scheduling system for whole process of phosphoric acid production

By constructing a dynamic simulation node and optimizing the imbalance node through an intelligent monitoring and scheduling system for the entire phosphoric acid production process based on the Industrial Internet, the problem of difficulty in responding to parameter changes in the phosphoric acid production process in existing technologies is solved, thereby improving the scheduling efficiency and stability of production.

CN122177263APending Publication Date: 2026-06-09SHAANXI ORANGE IND CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHAANXI ORANGE IND CO LTD
Filing Date
2026-05-09
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing phosphoric acid production monitoring systems cannot accurately correspond to changes in front-end process parameters and back-end product parameters, lack systematic quantitative analysis methods for balancing parameters, and are difficult to quickly and accurately trace abnormal process links.

Method used

The intelligent monitoring and scheduling system for the entire phosphoric acid production process based on the Industrial Internet constructs dynamic simulation nodes through data acquisition, processing, analysis, and scheduling modules. It optimizes the process parameters of imbalanced nodes by using a sampling and matching mechanism based on lag time and deviation threshold.

Benefits of technology

It significantly improves the scheduling efficiency and stability of phosphoric acid production, solves the time delay problem between process parameters and product parameters, and provides a highly accurate basis for production analysis.

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Abstract

The application discloses a phosphoric acid production whole-process intelligent monitoring and scheduling system based on an industrial internet, relates to the technical field of phosphoric acid production management, and comprises the following: a data acquisition module, which is used for acquiring production process key parameters and production product parameters of each production stage in a phosphoric acid production process; a data processing module, which is used for processing the obtained production process key parameters of each production stage to obtain dynamic simulation nodes of each production stage; a data analysis module, which is used for performing production process balance degree analysis on each dynamic simulation node and determining unbalanced nodes according to analysis results; and a production scheduling module, which is used for optimizing the production process key parameters of the determined unbalanced nodes; by obtaining balance coefficients of corresponding production stages in a sampling window, a to-be-optimized item is obtained according to a causal influence relationship between key process items and product parameter items, blind global adjustment is avoided, and scheduling efficiency and production stability are significantly improved.
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