Based on the normalization algorithm whose transform function is linear ,the multi-field information collected in a coal mine water-inrush model test such as displacement, seepage pressure, stress and apparent resistivity was mapped to values between zero and one in order to eliminate the differences of dimensions and value ranges.In this way the normalization curves of the multi-field information were described in the same coordinate system, which were contrasted with the original curves to analyze the changing tendency and relationship among different variables.It is found that seepage pressure, apparent resistivity and stress are the ideal information resources for water-inrush prediction; abnormal fluctuations of seepage pressure appeares long before the occurrence of water inrush; the apparent resistivity and stress increases suddenly before the occurrence of water inrush, and the apparent resistivity change earlier than the stress.%为了消除量纲和取值范围的差异,基于线性函数转换的归一化算法,将矿井突水模型试验中采集的位移、渗透压力、应力和视电阻率等多物理场信息映射到0～1范围内进行处理,在同一坐标系下绘制出多物理场信息归一化曲线,并与原始数据曲线进行对比,分析突水过程中各物理量的变化趋势及其相互关系.发现渗透压力、视电阻率和应力信息是较为理想的突水预报信息源,渗透压力在突水前很长时间就出现异常波动,视电阻率和应力在突水发生前会突然增大,且视电阻率的变化早于应力的变化.
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