Crane Obstacle Avoidance via Real-Time Detection
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Solution Overview
Problem
Construction sites and work areas are dynamic and prone to changes in hazards and obstacles, making it challenging for lifting machines like cranes to safely navigate and avoid obstacles while lifting loads.
Innovation Solution
A system comprising a rotational drive mechanism, a hoist drive mechanism, a detector for obstacle location and identification, and a processor that provides obstacle avoidance data to control the crane's movements, ensuring safe navigation around obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a detector and processor system is added to monitor obstacles and control crane movements, then safety and obstacle avoidance capability are improved, but device complexity increases
Solution Approach 1:
The patent introduces a detector and processor as intermediary components between the operator and the crane control system. The detector senses obstacles and the processor analyzes the data to generate avoidance commands, mediating the interaction to enhance safety without requiring the operator to manually assess all obstacles.
Solution Approach 2:
The system enables the crane to autonomously detect and respond to obstacles without continuous operator intervention. The detector and processor work together to automatically generate avoidance commands, allowing the system to serve itself in obstacle avoidance tasks while the operator focuses on overall operation.
2Productivity
If real-time obstacle detection and automated control responses are implemented, then operational efficiency and safety are improved, but loss of time in system response and processing may increase
Solution Approach 1:
The system performs preliminary actions by continuously monitoring the work area for obstacles before the crane reaches critical positions. The detector and processor are always ready to generate avoidance commands, reducing the need for last-minute reactions and allowing smoother, more efficient operations.
Solution Approach 2:
The system implements continuous feedback loops where the detector monitors obstacle positions, the processor analyzes the data in real-time, and avoidance commands are generated and executed. This closed-loop feedback ensures rapid response to changing conditions while maintaining operational efficiency through automated decision-making.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively prevents contact between the crane's load and obstacles by controlling the crane's boom rotation and load elevation based on real-time obstacle data, enhancing safety and operational efficiency.
Implementation Method 1
the detector comprises an optical camera
Implementation Method 2
the detector comprises a radar
Implementation Method 3
the detector comprises a sonic
Implementation Method 4
the detector comprises a laser
Data Source
AI summary
A system includes a hoist drive mechanism that elevates and lowers a load hook from a boom and a detector that provides obstacle location and identification information. A processor receives the obstacle location and identification information from the detector and provides obstacle avoidance data in response thereto.