Research and system development of production data integration for coal preparation plants based on Python+Selenium
ZUO Quan
Abstract：To address the challenges in coal preparation plants,including the difficulty of integrating multi-source heterogeneous data,the low efficiency of traditional manual data management,and significant data silos,a production data integration system was developed based on Python and Selenium to enhance production man-agement efficiency and data application value.The system adopts a four-layer architecture encompassing data acquisition,processing,storage,and application.It collects both directly displayed webpage data and data dis-played within ActiveX controls through automated login,web scraping,and screenshot recognition.The ac-quired data then undergoes time-series processing,parsing,deduplication,and OCR(Optical Character Recogni-tion)identification to achieve structured storage.This system implements functionalities such as segmented pro-duction data comparison,data alerts and anomaly alarms,visual analysis of time-series production data,and cross-system automatic data pushing.This technical solution has successfully achieved the integration and pre-liminary analytical application of heterogeneous industrial data across different systems,effectively resolving the problem of data silos inherent in traditional production management systems.It provides a feasible path for data integration in legacy information systems and serves as a practical example for the coal preparation in-dustry in deep data mining,collaborative application of industrial knowledge,and digital transformation.
Keywords：coal preparation plantcoal preparation production process dataproduction data integrationPythonSeleniumheterogeneous data integrationdigital transformation
Publication Date：2025-08-31
Online Publishing Date：2025-12-29(First online date of this platform, not the publication date of the document)
Pages：9( 74-82 )