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Multi-model & Big Data Based Boiler Anti-wear & Explosion-proof System
Multi-model & Big Data Based Boiler Anti-wear & Explosion-proof System
Three-dimensional dynamic of four boiler tubes, over-temperature and oxide scale judgment model, creep model, trend early warning; Online flow field monitoring and wear mechanism modeling, dynamic flow field and local over-temperature modeling, local over-temperature and oxide scale modeling; Modeling of offline data, conventional wear trends; Mechanism models for the service life and wear of four tubes, etc. Four-tube intelligent online diagnosis, automatically warning of the risks of wear, deterioration and oxide scale on the four tubes, and automatically pushing shutdown detection strategies and start-stop control strategies.

Key technologies

ComprehensiveDCSBased on the existing data, construct characteristic mechanism models for life analysis such as erosion, thinning, and creep; Combining design and maintenance ledger data and applying advanced modeling techniques, a complete three-dimensional dynamic ledger system for the four tubes of the boiler is constructed. In combination with the layout of the heating surface, install an online flow field monitoring unit to establish local wear/Over-temperature/The dynamic model of oxide scale forms a big data hybrid testing model to conduct real-time analysis and push operation and maintenance strategies. It is equipped with a complete four-pipe risk assessment knowledge base, and the system is compatible with itDCSIt can be directly connected or deployed in the management region.

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Expected effect

Standardize the anti-wear and explosion-proof management of the four pipes to reduce potential hazards caused by human factors. The powerful judgment and analysis function can warn of the risks of the four pipes, assist in the planning of maintenance projects, optimize the workload of inspection, and reduce the maintenance costs of the four pipes50%Shorten the maintenance period; Real-time analysis of abnormal flow fields, early warning and push operation strategies to prevent pipe bursts caused by hidden over-temperature and reduce60%The pipe burst incident; The system intelligently assesses the technical management work of the four managements and regularly pushes personnelKPIAnd equipmentKPI.

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