Construction of Sintering Production Intelligent Monitoring and Prediction System Based on Vue Architecture

Kanghao Li; Chenbo Wang; Jiayu Li; Jia Wei; Jia Wang; Yifan Li

doi:10.54097/0pvk1r48

Authors

Kanghao Li
Chenbo Wang
Jiayu Li
Jia Wei
Jia Wang
Yifan Li

DOI:

https://doi.org/10.54097/0pvk1r48

Keywords:

Vue Architecture, 3D Visualization, Real-time Monitoring, Software System Construction, Sintering Production

Abstract

The sintering process is the core link in long-process steel production. Its production process involves multiple dynamic parameters, and traditional systems generate massive amounts of data daily with low utilization. To achieve data-driven production processes and intuitive visualization, this paper designs and develops an industrial-grade full-stack software system based on the Vue architecture. The system mainly consists of two core modules: the intelligent monitoring system for the sintering process and the intelligent prediction system for sintering capacity. The system front end uses Vue.js combined with Three.js technology to achieve dynamic rendering and slice display of the sinter ore 3D voxel model; in the data transmission layer, WebSocket technology is used to realize real-time streaming push of underlying working condition data and dynamic chart updates. The successful construction of this system provides the sintering workshop with a highly responsive, strongly visualized integrated monitoring and prediction platform.

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