Compactor Controller Dynamic Vibration Adjustment

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Solution Overview

Problem

Conventional compactor systems are inefficient as they fail to consider material properties during the compaction process, leading to multiple passes and unintended decoupling, and existing solutions with embedded sensors are complex and prone to damage.

Innovation Solution

A compactor system with a controller and sensors that calculate a vibration parameter based on work material and roller drum data to adjust the vibratory mechanism's effort, ensuring optimal compaction without decoupling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the vibration amplitude is increased to improve compaction effectiveness, then the compaction efficiency is improved, but unintended decoupling occurs where the compactor does not maintain contact with the surface

Engineering Contradiction:
Improvecompaction efficiencyVSAvoidcontact maintenance
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system dynamically adjusts the vibration amplitude based on real-time feedback from sensors that monitor compaction effectiveness and contact status. The controller continuously modifies vibration parameters to maintain optimal compaction while preventing decoupling, transitioning from static to dynamic control of the vibratory mechanism.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

Sensors embedded in or attached to the compactor drum detect vibration characteristics, contact force, and compaction status, feeding this information back to the controller. The controller processes this feedback and adjusts the vibration amplitude accordingly, creating a closed-loop control system that prevents decoupling while maximizing compaction efficiency.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If multiple sensors are embedded into the paving material to provide real-time measurements, then the measurement precision is improved, but the device complexity and susceptibility to damage increase

Engineering Contradiction:
Improvecompaction measurement accuracyVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Instead of embedding multiple complex sensors into the material, the system uses sensors attached to the compactor drum that measure vibration characteristics and contact force. These measurements serve as proxies or copies of the actual compaction state, providing accurate feedback without requiring direct material embedding or complex sensor arrays.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The compactor drum itself acts as an intermediary medium between the compaction process and the measurement system. Sensors mounted on the drum measure the drum's vibration and contact characteristics, which indirectly but accurately reflect the compaction state of the material, avoiding the need for direct material sensors.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Ease of operation

If the vibration amplitude is adjusted independently of material properties, then the ease of operation is improved, but the adaptability to different material conditions deteriorates

Engineering Contradiction:
Improvevibration control simplicityVSAvoidmaterial condition adaptability
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The compaction system performs self-adjustment by automatically sensing material conditions through vibration feedback and autonomously modifying its own operation parameters. The controller reads sensor data about material response and independently adjusts vibration amplitude without requiring manual intervention or pre-programmed material property inputs.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically changes vibration parameters (amplitude, frequency) based on real-time material response characteristics detected by sensors. The controller continuously monitors vibration feedback and adjusts operational parameters to adapt to different material conditions, densities, and compaction states, providing both ease of operation and material adaptability.

Inventive Principle:
Principle #35Parameter changes

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 adjusts vibration effort based on material properties, reducing the need for multiple passes and minimizing decoupling, thereby enhancing compaction efficiency and effectiveness.

Implementation Method 1

The vibratory mechanism can help establish a degree of compaction by controlling a vibration amplitude and a vibration frequency

Methodology Applied
Scientific EffectVibration: Vibration

Implementation Method 2

the weight of the compactor compresses the asphalt to a solidified mass

Methodology Applied
Scientific EffectGravity: Gravitation

Data Source

PatentUS9587361B2Temperature dependent auto adaptive compaction
Publication Date: 2017.03.07 CATERPILLAR PAVING PROD INC
  • US9587361B2 patent drawing
  • US9587361B2 patent drawing
  • US9587361B2 patent drawing

AI summary

A compactor system for compacting a work material includes a roller drum, a vibratory mechanism, and a controller. The roller drum is configured to compact a work material. The vibratory mechanism is coupled to the roller drum and operatively coupled to the controller. The controller is configured to determine a vibration effort based on a vibration parameter, and further configured to generate an output signal to control the vibratory mechanism to apply the vibration effort to the roller drum. The controller includes at least one sensor and a processor. The at least one sensor is configured to sense a first data parameter of the work material and a second data parameter of the roller drum. The processor is configured to calculate the vibration parameter based on the first data parameter and the second data parameter.