Gong-kuang zidonghua (Oct 2022)
Research on dynamic workflow construction method of coal mine gas control
Abstract
At present, the key links of coal mine gas control management still need manual supervision. The gas control measures can not achieve 'reliable quality' and 'process traceability'. The backward gas control management mode results in overlapping functions, poor process and low degree of data sharing. In view of the above problems, based on workflow technology, from the perspective of global management, the dynamic workflow construction method of coal mine gas control is studied. Firstly, the workflow, constraint conditions and implementation process of gas control in the minging face and coal uncovering working face are analyzed. The links of gas control flow is divided into two types: test and measure. It is specifically divided into five types of work, including approval of technical documents and reports, drilling construction, sampling, gas parameter measurement, and gas extraction and parameter detection. Secondly, the method reconstructs the last four types of work and further divides the work into 25 basic work units. The method uses Petri Nets to combine basic work units to establish different cross-departmental gas control complex business workflow. Based on the gas control workflow chart, a representation method for the implementation progress of gas control in the working face is established. The method uses the strategy of combining initiative and automation to assign task of the workflow. The method uses description files to dynamically generate and configure workflow networks to meet the requirements of dynamic workflow modeling for gas control. Finally, based on the Flowable workflow engine, the dynamic workflow function of gas control is developed and applied. The results show that the construction of dynamic workflow can make the gas control business process. It is conducive to improving the efficiency of gas control collaborative execution, realizing the rapid flow, tracking and sharing of data. It is conducive to monitoring the overall operation and optimization of gas control work, improving the decision-making capability of coal mine gas control, and innovating the management mode of coal mine gas control.
Keywords
