Analysis and Research on the Load Braking Process and Motion Posture Characteristics of Crane Lifting Equipment

In the process of lifting heavy objects with cranes, the shortcomings of current conventional detection methods were analyzed in terms of applicability, safety, and reliability. In response to the safety risks associated with the braking process and motion posture characteristics of crane lifting equipment, this paper proposes a method for detecting the braking process and motion posture of crane lifting equipment. By collecting data on the braking process and motion posture, and using Kalman filtering method for filtering and fusion, accurate data can be obtained; Analyze the waveform characteristics of experimental data and integrate them in the time domain to calculate the value of brake sliding displacement has improved the accuracy and efficiency of detection results and reduced detection costs. These analysis features and calculation results provide strong support for the comprehensive evaluation of the braking performance of cranes, which helps to promote the standardization of operation and improve overall operational safety, and ensure the safe use of lifting machinery and equipment.