Crane safe operation control system and method based on machine vision and energy optimization management

By combining machine vision and energy optimization management, a crane control system has been developed that enables comprehensive safety risk warning and energy consumption optimization for cranes. This solves the problems of single safety perception and insufficient energy consumption optimization in existing technologies, and improves the accuracy of intelligent control of cranes and the overall operational efficiency of the equipment.

CN122131664APending Publication Date: 2026-06-02CHANGZHOU CHANGXINQI TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHANGZHOU CHANGXINQI TECH CO LTD
Filing Date
2026-03-04
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

The existing crane safety perception dimension is too narrow, failing to cover core operational defects such as hook sway and track cracks, and lacks an energy consumption optimization and control mechanism, resulting in limited accuracy of intelligent control and an inability to balance safety and economy.

Method used

The control system combines machine vision with energy optimization management. The machine vision perception module collects visual data in real time to identify work targets, obstacles and track status, and generates safety warning signals based on operating parameters. The energy optimization analysis module analyzes energy consumption data, calculates the optimal set of operating parameters, and conducts a comprehensive assessment and adjustment of safety and energy efficiency through the integrated control decision module.

Benefits of technology

It enables comprehensive safety risk warning and energy consumption optimization for crane operations, improves the safety and economy of equipment operation, ensures stable and controllable operation, and adapts to dynamic needs under complex working conditions.

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Abstract

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.
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