Autonomous Trajectory Planning for Engineering Machinery
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Solution Overview
Problem
Current engineering machinery equipment requires manual operation for material loading tasks, which is inefficient and exposes personnel to hazardous environments, with no mature algorithms for automatic material loading trajectory planning.
Innovation Solution
A method and system for operation trajectory planning of engineering machinery equipment that involves acquiring three-dimensional sensing data of a material pile, constructing a three-dimensional model, determining a loading operation position, and planning an operation trajectory for mechanical structural components to execute a material loading operation autonomously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual operation is used for engineering machinery equipment, then personnel can control the equipment to execute tasks, but manpower costs increase and personnel are exposed to harmful environments
Solution Approach 1:
The patent replaces manual mechanical operation with an automated trajectory planning system that uses sensors, processors, and algorithms to control engineering machinery equipment. The system acquires sensing data, constructs three-dimensional models, determines loading positions, and generates operation trajectories automatically, substituting human operators with an intelligent control system.
Solution Approach 2:
The trajectory planning system enables the engineering machinery equipment to perform material loading operations autonomously without human intervention. The system self-determines loading positions, self-generates operation trajectories, and self-controls mechanical structural components to execute loading tasks, making the equipment self-sufficient in performing its function.
2Productivity
If manual operation is used for engineering machinery equipment, then tasks can be executed with simple control systems, but operational efficiency is reduced and personnel safety is compromised
Solution Approach 1:
The patent replaces manual operation with an automated trajectory planning system that enhances productivity by continuously and precisely controlling mechanical structural components. The system eliminates personnel exposure to harmful environments by completely removing human operators from the control loop, using sensors and algorithms to perceive and respond to operational conditions.
Solution Approach 2:
The trajectory planning system incorporates feedback mechanisms where sensors continuously acquire sensing data about the operational environment and equipment state. This data feeds into the trajectory planning algorithm, which adjusts operation trajectories in real-time to optimize productivity and ensure safe operation without human intervention.
3Extent of automation
If automatic trajectory planning is implemented, then manpower costs are saved and personnel safety is improved, but the system complexity and algorithm requirements increase
Solution Approach 1:
The patent replaces manual information processing with an automated trajectory planning system that acquires sensing data, constructs three-dimensional models, and generates operation trajectories through algorithmic processing. The system handles all information processing tasks automatically, from raw sensor data to actionable control commands, eliminating the need for human operators to interpret and respond to operational conditions.
Solution Approach 2:
The trajectory planning system acts as an intermediary between the physical environment and the control system. It processes sensing data through intermediate steps including three-dimensional model construction, loading position determination, and trajectory generation, transforming raw sensor information into precise control instructions for mechanical components.
Data Source
AI summary
The present disclosure discloses an engineering machinery equipment, and a method, system, and storage medium for operation trajectory planning thereof, and relates to the field of artificial intelligence, automatic control, and engineering machinery technologies. A method can include: acquiring three-dimensional sensing data of a material pile, to construct a three-dimensional model of the material pile based on the three-dimensional sensing data; determining a loading operation position of the engineering machinery equipment on the material pile based on the three-dimensional model of the material pile and structural design information of the engineering machinery equipment; and acquiring position information of a mechanical structural component of the engineering machinery equipment, and performing operation trajectory planning based on the position information of the mechanical structural component and the loading operation position, to generate an operation trajectory of the mechanical structural component executing a material loading operation.