Braking method for a horizontal conveying system in heavy load mode
By constructing a brakeable probability cone and an entropy risk-sensitive model, the problem of sudden torque change in heavy-duty belt conveyors was solved, enabling online suppression of tension waves and risk prediction, thereby improving the stability of the braking process and the lifespan of the equipment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XUZHOU ZHONGKUANG KEGUANG MASCH & ELECTRICITY TECH CO LTD
- Filing Date
- 2026-05-29
- Publication Date
- 2026-07-17
AI Technical Summary
Existing braking control schemes for horizontal belt conveyors under heavy load conditions suffer from sudden changes in braking torque, which can easily trigger longitudinal tension waves in the belt. They cannot adaptively generate vibration suppression trajectories online, leading to material spillage and belt joint damage. Furthermore, they lack pre-emptive quantitative control of high-risk events, and the independent assessments of traction, energy absorption capacity, and thermal load cannot be integrated into a global set of feasible braking measures, resulting in delayed risk response.
By acquiring multi-source operating signals in real time, constructing the consistency residual of the multi-source signals, generating a brakeable probability cone, identifying the main period of the longitudinal tension wave of the belt, generating a zero-vibration derivative type input shaper, executing entropy risk-sensitive model predictive control, and outputting the target trajectory of the total braking torque, the risk prediction and torque optimization of the braking process are realized.
It calculates the margins for traction, energy channels, and heat in real time, dynamically adapts to environmental changes, predicts braking risks, suppresses tension impacts, reduces material spillage and belt damage, and improves the stability and reliability of the braking process.
Smart Images
Figure CN122403013A_ABST