Development of the Python-based coal preparation plant′s production data real-time reporting system

The production data reporting system traditionally used by coal preparation plant is labor-intensive and time-consuming and the data is reported without going through in-depth analysis. Moreover, the timeliness, accuracy, completeness and plausibility of the data cannot be ensured, thus making it impossible to carry out data communication with the real-time communication software currently in popular use. To deal with this situation, a real-time production data reporting system is specifically developed according to targets for data collection and data requirements, and through creation of MySQL database based on OPC and WebSocket protocols, selection of suitable Python library, writing of data collection code, and selection of instant communication software. The system developed can perform the following functions: automatic data collection and transmission, extraction of key information and regularity of data, data processing and analysis, automatic generation of production and statistical analysis reports and sending them automatically via communication software to personnel concerned to make sure the data is reported in a real-time manner for sharing. The development of the system can provide data support for other coal preparation plants to enhance intelligent level.