Abstract
The use of multisource information fusion technology to predict the risk of water inrush from coal floor is a research hotspot in recent years, but the current evaluation method is mainly based on a constant weight evaluation model. Using constant weights to reflect the control effect of changing factor state values on water inrush evaluation has obvious limitations, and it is unable to describe the control effect of the hydrogeological condition mutation on the water inrush from the floor. In order to solve the above problems, this manuscript introduces the idea of variable weight into the field of water inrush evaluation, expounds on the significance of variable weight theory for water inrush evaluation, analyzes the characteristics of mine water inrush variable weight evaluation, and, on this basis, further combines GIS-based multisource information fusion technology and typical engineering case to compare with the evaluation effect map, evaluation unit, and comprehensive evaluation values. The differences between the variable weight model (VWM) and the constant weight model (CWM) are analyzed, which proves that the evaluation process of the variable weight evaluation model is more reasonable and can effectively improve the evaluation accuracy.
Highlights
Mine water risk has always been one of the important factors restricting coal mining in China, and it is of great application value to carry out research on mine water inrush risk prediction technology [1,2,3,4,5]
The coal seam floor water inrush evaluation technology based on geographic information systems (GIS) combined with linear or nonlinear mathematical theory is the current research hotspot, and the constant weight model (CWM) is currently widely used
In order to overcome the shortcomings of the traditional evaluation method, the variable weight theory is introduced into the field of risk evaluation of water inrush from coal floor and puts forward the variable weight evaluation idea of water inrush
Summary
Mine water risk has always been one of the important factors restricting coal mining in China, and it is of great application value to carry out research on mine water inrush risk prediction technology [1,2,3,4,5]. In the process of applying multisource information fusion technology to predict water inrush, the currently widely used evaluation model is the weighted average model: Mðx, x2, ⋯, xmÞ = ∑mi=1wixi, where xi is the state value of factors influencing water inrush and wi ∈ 1⁄20, 1 is the weight of the influencing factor and needs to satisfy ∑mi=1wi = 1 [20, 21] In this model, regardless of how the Geofluids state vector X = ðx, x2, ⋯, xmÞ of each factor changes, the weight vector W = ðw, w2, ⋯, wmÞ of the factor always remains unchanged. The method proposed in this paper can provide a reference for the risk evaluation of water inrush from the coal floor in areas with similar geological conditions in the world
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