Rock burst risk assessment method and platform

The embodiment of the invention provides a rock burst risk assessment method, which comprises the following steps: acquiring multiple monitoring data of a previous time period to construct an artificial neural network, and acquiring prediction data of a next time period according to the artificial neural network; and constructing a gray decision model according to the prediction data of the next time period, and obtaining a risk assessment result according to the gray decision model. The embodiment of the invention further provides a rock burst risk assessment platform. According to the invention, the interference of uncertainty of human factors can be effectively avoided, the utilization rate of monitoring data can be effectively improved, and the efficiency and accuracy of prediction andearly warning can be improved. 本发明实施例提供一种冲击地压危险性评估方法，包括以下内容：获取上一时间段的多项监测数据以构建人工神经网络，并根据人工神经网络获取下一时间段的预测数据；根据下一时间段的预测数据构建灰色决策模型，并根据灰色决策模型获取危险性评估结果。本发明实施例还提供一种冲击地压危险性评估平台。本发明既能够有效避免人为因素不确定性的干扰，又能够有效提高对监测数据的利用率，进而能够提高预测和预警的效率和精