Full-flow intelligent diagnosis and optimized operation system for industrial furnace

Abstract

A full-flow intelligent diagnosis and optimized operation system for an industrial furnace is characterized by comprising a full-flow intelligent detection module, a full-flow digital twinning module,an intelligent diagnosis and analysis module, an intelligent decision control module and an intelligent control execution module. In the full-flow intelligent sensing, full-flow digital twinning, intelligent analysis and diagnosis, intelligent decision making and smart decision making, full-flow intelligent sensing and feedback overall circulation closed-loop process, on one hand, continuous self-analysis and self-diagnosis are carried out on continuously increased and accumulated data, and on the other hand, continuous self-learning and self-optimization are carried out by means of digital twinning and intelligent analysis and diagnosis, and a production operation GPS navigation system is established to realize self-tracking, self-optimization and self-rectification optimization of the full-flow production process. Therefore, the intelligent system functions of self-analysis, self-learning, self-diagnosis, self-recovery, self-management and self-optimization are integrally realized.

Description

technical field [0001] The present invention relates to the technical field of full-process management of industrial furnaces, in particular to an intelligent diagnosis and optimal operation system for the whole process of industrial furnaces. Background technique [0002] The traditional industrial furnace system management is mainly based on manual operation and supplemented by simple scripts. There are problems such as high operational risks, long fault location time, low supporting work efficiency, insufficient data utilization, and insufficient intelligence level. Specifically, there are the following problems: 1. Management operations rely on manual processing, and there are potential operational risks; 2. Troubleshooting and positioning take a long time, which is not conducive to rapid business recovery; 3. Lack of efficient automation tools and low management efficiency; 4. The analysis and utilization of management data is insufficient, and it is difficult to meet t...

AI Technical Summary

Problems solved by technology

[0002] Traditional industrial furnace system management is mainly based on manual operation and supplemented by simple scripts. There are problems such as large operational risks, long fault location time, low supporting work efficiency, insufficient data utilization, and insufficient intelligence level.

Specifically, there are the following problems: 1. Management operations rely on manual processing, and there are potential operational risks; 2. Troubleshooting and positioning take a long time, which is not conducive to rapid business recovery; 3. Lack of efficient automation tools and low management efficiency; 4. Insufficient analysis and utilization of management data, which is difficult to meet the needs of predictive monitoring; 5. Insufficient application of intelligent computer room, management level needs to be improved

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