In order to solve the problem of misjudgment of underground personnel in distress in the intelligent mining precise personnel positioning system, resulting in a waste of rescue resources, this paper proposes to apply the analytic hierarchy process to the emergency treatment mechanism of the intelligent mining personnel precise positioning system. Once the judgment matrix of the traditional analytic hierarchy process method is set, it cannot respond to the changes of the influencing factors in real time. When the value of the influencing factor changes, the judgment matrix needs to be reset to obtain the correct decision scheme. In order to solve this problem, the analytic hierarchy process method is improved and the judgment matrix of the analytic hierarchy process method is proposed to be adjusted according to the real-time data of the sensors to improve the alarm accuracy. When the management server of the precise personnel positioning system receives the alarm information reported by a person tag in the mine, the method uses the 1-9 scale method to mark the various sensor data of the personnel's position and the sensor data of vital characteristics uploaded by the tag. According to the scale value of the sensor data, the parameter values of the judgment matrix of each index layer-decision layer are adjusted in real time, and the weight value of the decision layer is calculated by the analytic hierarchy process, and the authenticity of the alarm information is judged according to the weight values. The simulation results show that after the emergency treatment mechanism of the precise personnel positioning system adopts the improved analytic hierarchy process that can adjust the parameters of the judgment matrix in real time, the authenticity of the alarm information can be judged effectively, invalid alarm information is eliminated, and the alarm accuracy of the emergency treatment mechanism is improved.
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