Título: Process Model and Digitalization of the Coal Gas Outburst Prevention
Autores: Hou, Shao-jie; Hebei University of Economics and Business
Zhang, Yu-wei; Shijiazhuang Vocational College of Finance Economics
Cheng, Yuan-ping; China University of Mining & Technology
Fecha: 2014-04-01
Publicador: TELKOMNIKA: Indonesian journal of electrical engineering
Fuente:
Tipo: info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Tema: Information Technology; Computer Application;
digital mine; coal gas outburst prevention; process model; data management
Descripción: Regional coal gas outburst prevention has become the prerequisite of coal mining in the most China underground collieries. It touched on miners’ lives so closely, but especially lacked of digitalization due to the hostile working environment, sightless strata reserves, complicated and long-time workflow. By synthesizing the vital rules issued by China governments and various techniques of coal gas outburst prevention, we proposed a novel process model for them embodied as a logical workflow. The model consisted of two operation links and two judging nodes, and dealt with three types of data. Then an easy-use and practical process data management software system was developed. By testing in Qinan colliery, the system was proved to be fully considering user experience and helpful to promote digitalization of coal gas outburst prevention. Compared with the traditional management, the digitalization might help engineers identify anomalies more quickly and avoid gas accidents in time.
Idioma: No aplica