Abstract
To the complication and uncertainty in coal seam floor water-inrush monitoring, Internet of Things (IoT) perception is applied to the monitoring and controlling of coal seam floor water inrush with major impacting factors analyzed, and an open distribution information processing platform is constructed based on IoT-GIS coupling perception. Then using the platform to comprehensively perceive various floor water inrush impacting parameters, an AHP model is established. At this stage, by means of weight reasoning algorithm based on dynamic Bayesian network, the AHP weight can be worked out using the two-way probability transfer and chain rules. Then the multiple factors are spatially fused by GIS to form a non-linear mathematical model for the calculation of the water inrush relative probability index. After that, the discrimination threshold of the comb graph for the floor water inrush relative probability index is used to further identify the floor water inrush mode. The experiments in 10# Coal Seam of Suntuan Mine show that, the accuracy perceived the floor water inrush is above 92%, and the platform of IoT-GIS coupling perception has the obvious technical advantage than traditional monitoring technology. Therefore, it has has demonstrated strong systematic robustness, important theoretical and application significance.
Highlights
With the extension of the coal working depth, the coal seam will bear increasingly greater pressures from the karst-containing aquifer
Since the present paper primarily aims at conducting an investigation into coal seam floor water inrush, the floor water inrush mode is placed in the first tier
The results show that the Internet of Things (IoT)-coupled-with GIS technology presents a rather systematic robust, and it is of great significance to investigations conducted into monitoring and controlling coal seam floor water inrush
Summary
With the extension of the coal working depth, the coal seam will bear increasingly greater pressures from the karst-containing aquifer. The coal seam floor water inrush is resulted from the integrated impacts of the pressurized water, the resistance to the water pressure by the aquiclude and the mine pressure It will be of great significance for us to conduct comprehensive investigations into how to accurately monitor floor water-inrush and bring it under control so that coal mine water disasters will be stopped and safety production guaranteed. The methods are not desirable when applied to monitoring the actual mine water inrush Another factor that limits the application is that since mines vary in their hydro-geological conditions, the methods are not sufficiently sensitive in this aspect. Taking all these into account, researchers began to apply GIS and display monitoring process by turning to figures. To prove our hypothesis, experiments are conducted with desirable results obtained
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