Construction Machine Control for Dynamic Sensor-Trajectory Coordination

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Solution Overview

Problem

The sequential architecture of perception-planning-control in smart construction machines, such as excavators and loaders, often leads to poor coordination during complex operations due to the movement of sensors and working mechanisms, which can block the visual field or disrupt the perception of the environment.

Innovation Solution

A control system comprising an environment perception module, decision-making planning module, and control performing module that adjusts the perception module's state based on feedback and prediction to improve coordination by dynamically changing sensor parameters and motion trajectories.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the construction machine performs complex operations with moving sensors and working mechanisms, then the operation capability and productivity are improved, but the coordination deteriorates due to blocked visual field or disrupted environment perception

Engineering Contradiction:
Improveoperation capabilityVSAvoidcoordination
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent applies dynamics by making the sensor positions and perception parameters adjustable and changeable during operation. The system dynamically adjusts sensor positions and perception parameters based on real-time operation states to maintain reliable environment perception while performing complex operations, resolving the contradiction between operation capability and coordination reliability.

Inventive Principle:
Principle #15Dynamics

2Adaptability or versatility

If the sensors and working mechanisms move during operation, then the versatility and adaptability are improved, but the measurement precision deteriorates due to blocked visual field or disrupted perception

Engineering Contradiction:
Improveoperation flexibilityVSAvoidenvironment perception accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The system implements feedback by continuously monitoring the operation state and environment perception quality, then adjusting sensor positions and perception parameters accordingly. This closed-loop control ensures that measurement precision is maintained even as the system adapts to different operation modes and complex tasks.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent makes the perception system dynamic by allowing real-time adjustment of sensor positions and parameters based on operation needs, enabling the system to maintain high measurement precision across various operation scenarios while preserving versatility.

Inventive Principle:
Principle #15Dynamics

3Reliability

If the system adjusts sensor parameters and motion trajectories in real-time, then the coordination and safety are improved, but the device complexity increases

Engineering Contradiction:
Improvecoordination and safetyVSAvoidcontrol system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The control system is designed with multi-functionality, integrating operations management, trajectory planning, and sensor parameter adjustment into a unified system. This universal approach allows the system to handle multiple functions through a single integrated control architecture, reducing overall complexity while maintaining high coordination and safety standards.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250354355A1Control system, control method and machine, storage medium and program product
Publication Date: 2025.11.20 JIANGSU XCMG CONSTRUCTION MACHINERY RESEARCH INSTITUTE LTD
  • US20250354355A1 patent drawing
  • US20250354355A1 patent drawing
  • US20250354355A1 patent drawing

AI summary

The present disclosure provides a control system, a control method and machine, a storage medium and a program product. The control system includes: an environment perception module configured to output perception result information based on environment information and/or control result information, and adjust own state based on a system adjustment instruction; a decision-making planning module configured to generate a motion trajectory based on an operation task and the perception result information, output the motion trajectory, predict the motion trajectory to obtain the prediction result information, receive the feedback result information corresponding to the motion trajectory, and output the system adjustment instruction to the environment perception module based on the prediction result information and feedback result information; and a control performing module configured to perform the operation task based on the motion trajectory, obtain and output the feedback result information and the control result information.