Autonomous Mobile Hoisting Control for Port Route and Load Handling
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Solution Overview
Problem
Conventional mobile hoisting apparatus operations at ports require human intervention, leading to low efficiency and safety concerns due to complex environments, necessitating multiple operators for continuous operation, which is costly.
Innovation Solution
A system comprising an environment sensing module, positioning module, and server that autonomously controls the mobile hoisting apparatus by detecting environment information, determining location, planning routes, and controlling movement and hoisting operations, enabling automatic driving and loading/unloading without operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual operation by operators is used, then the mobile hoisting apparatus can be controlled to move and perform hoisting operations, but the operation efficiency is low and multiple operators are required for continuous operation
Solution Approach 1:
The mobile hoisting apparatus is equipped with sensing modules, positioning modules, and control systems that enable it to autonomously sense its environment, plan routes, navigate to target locations, and perform hoisting operations without human intervention. The system serves itself by integrating perception, decision-making, and execution capabilities directly into the apparatus.
Solution Approach 2:
The patent replaces the mechanical control system operated by humans with an automated control system based on electronic sensing, computing, and actuation. The control system processes data from sensing modules and automatically generates control signals for the driving and hoisting mechanisms, substituting manual mechanical operation with electronic automation.
2Reliability
If operators manually operate the mobile hoisting apparatus in complex port environments, then hoisting operations can be performed, but safety cannot be guaranteed due to the complicated environment
Solution Approach 1:
The control system is divided into modular functional components including sensing modules for environmental perception, positioning modules for location determination, route planning modules for path generation, and control modules for executing movements. This segmentation allows each module to specialize in specific safety-critical functions while maintaining overall system manageability.
Solution Approach 2:
The patent introduces an intermediate control system that acts as a mediator between environmental sensing and physical actuation. This control system processes sensor data, makes safety decisions, and coordinates motor actions, providing a buffer that enhances safety by separating direct environmental interaction from direct mechanical control.
3Duration of action of moving object
If multiple operators are provided for continuous 24-hour operation, then the mobile hoisting apparatus can work continuously, but the cost increases significantly
Solution Approach 1:
The automated control system enables continuous operation of the mobile hoisting apparatus without interruption for operator shifts, breaks, or fatigue. The system can operate 24 hours continuously by automatically managing navigation, hoisting operations, and returning to charging stations, maintaining uninterrupted useful action.
Solution Approach 2:
The patent changes the operational parameter from manual human-controlled intermittent operation to automated continuous operation. By altering the control mode from human-dependent to system-autonomous, the apparatus can maintain consistent operational parameters over extended periods without requiring multiple operators.
4Productivity
If the mobile hoisting apparatus is equipped with sensing and positioning modules for autonomous operation, then automation efficiency improves, but the device complexity increases
Solution Approach 1:
The sensing modules and positioning systems are integrated into the mobile hoisting apparatus to serve multiple functions: environmental perception for safety, location determination for navigation, obstacle detection for route planning, and target identification for hoisting operations. This multi-functionality reduces the need for separate specialized systems.
Solution Approach 2:
The patent combines sensing modules, positioning modules, route planning algorithms, and control modules into an integrated autonomous operation system. By merging these previously separate functions into a unified control architecture, the system achieves high automation efficiency while managing complexity through integration rather than multiplication of components.
Data Source
AI summary
The present disclosure provides a system for controlling a mobile hoisting apparatus, a method for controlling a mobile hoisting apparatus, a server, and a mobile hoisting apparatus, capable of improving efficiency and reducing cost of hoisting operations. The system for controlling a mobile hoisting apparatus includes: an environment sensing module configured to detect environment information, and transmit the environment information to a server; a positioning module configured to determine a location of the mobile hoisting apparatus to obtain location information of the mobile hoisting apparatus, and transmit the location information to the server; and the server configured to plan a travel route from a current location of the mobile hoisting apparatus to a hoisting operation location of the mobile hoisting apparatus, determine a perception result based on the environment information, determine travel decision information based on the perception result and the travel route, control the mobile hoisting apparatus to move to the hoisting operation location along the travel route based on the travel decision information, and control, at the hoisting operation location, a hoisting arm of the mobile hoisting apparatus to place goods to be transported to a corresponding target location.