Abstract: An elevator health state online monitoring method includes: acquiring parameters such as a position, a three-axis acceleration, an inclination angle, and a noise of a car in a running state of an elevator, left and right brake temperatures of a traction machine, and an environment temperature. Parameter measuring devices are installed on a top of the car and at the brake side of the traction machine. The parameters are collected to a cloud database through a wireless network after being acquired, and a judgment result is given through background automatic analysis. The method is mainly used for monitoring whether key mechanical parts of the elevator are abnormal or not, including guide rail deformation, guide shoe abrasion, car sliding, brake abrasion, adhesion, and the like. This way the health state of the elevator can be automatically monitored, and early warning can be carried out in time when abnormity is found.