Aiming at speed measurement of elevator

crane and other low-speed motion of large machinery

a velocity measurement method based on tri-axis acceleration detection is presented and a speed measurement system is designed. Aiming at characteristics of the large machinery moving objects in varying accelerated motion

as well as interference of load change in the process of moving and swinging motion of moving objects on detection data

noise adaptive Kalman filtering algorithm is proposed for filtering processing on acceleration data

and zero error adaptive compensation method is presented aiming at accumulated error generated in the process of calculation. Experimental results show that the detection method can realize speed measurement of low speed mechanical object. After filtering processed

data is smooth and stable

and measurement precision can meet requirements of the system.