Multi-model & Big Data Based Boiler Anti-wear & Explosion-proof System

hot keywords：: Intelligent Maintenance; Intelligent Operation; Intelligent Safety

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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.

Product Details

Key Technologies

◆Leverage existing DCS data to 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 embedded with a complete four tubes risk assessment knowledge base, and the system can interface with DCS. It can also be directly deployed in the Management Zone.

: Expected effect

◆Standardize the anti-wear and explosion-proof management of the four tubes to reduce potential hazards caused by human factors. ◆The powerful judgment and analysis function can warn of the risks of the four tubes, assist in the planning of maintenance projects, optimize the workload of inspection, and reduce the maintenance costs of the four tubes 50%. Shorten the maintenance period. ◆Real-time analysis of abnormal flow fields, early warning and push operation strategies to prevent tubes bursts caused by hidden over-temperature and reduce 60% of tubes burst incident. ◆The system intelligently assesses the technical management work of the four tubes managements and regularly pushes personnel KPI and equipment KPI.