This invention discloses a crane safety operation
control system and method based on
machine vision and energy optimization management, belonging to the field of crane safety operation technology. Based on visual acquisition, this invention performs pre-operation benchmark calibration and
dynamic data capture during operation, achieving full-cycle data
traceability and synchronization based on timestamps. This clarifies the safety boundaries of the operation area and the initial state of the equipment, avoiding deviations and lags caused by data asynchrony, and ensuring the overall process is consistent and reliable. Visual data preprocessing eliminates external interference, and precise
feature data is output using a safety benchmark model. Coupled with a tiered early warning mechanism, it accurately predicts operational anomalies and the risk of live intrusion and responds accordingly, achieving layered control of safety risks. By aligning visual data and operating parameters with timestamps to generate a fused dataset, and outputting safety levels and corresponding control signals through quantitative scoring, the objectivity and relevance of the assessment are improved, ensuring precise matching between control actions and safety states.