The invention discloses a
personnel safety supervision method and
system based on mining intelligent wearable equipment, and relates to the technical field of management monitoring. Comprising the steps of setting early warning ranges in different process areas according to attributes of the process areas; and a
local area network is established in the process area, and the
local area network is used for obtaining the position of the mining intelligent wearable device and realizing
interconnection of the mining intelligent wearable devices in the same process area. Through continuous
interconnection of the mining intelligent wearable devices, the real-
time distance difference between the mining intelligent wearable devices and the change trend under the
time sequence are obtained, the group space distribution dispersion and the displacement change rate are analyzed in combination with the virtual coordinate data, and the real-
time distance difference between the mining intelligent wearable devices and the change trend under the
time sequence are obtained. According to the method, possible key risk behaviors such as group abnormity, illegal approaching or sudden movement are identified, a three-level management
data matrix is generated by fusing the data, and a quantifiable
safety risk index is output, so that the depth and sensitivity of behavior identification are comprehensively improved.