Construction Machinery Status Diagnosis Using Oil and Sensor Feedback
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Solution Overview
Problem
Construction machinery, such as excavators and dozers, is expensive and requires stable operation to meet construction deadlines, necessitating proactive failure prevention through accurate status diagnosis.
Innovation Solution
A system and method for status diagnosis using sensors to detect oil and equipment properties, determining a basic status based on oil kinematic viscosity and permittivity, and integrating operating status information to provide a comprehensive assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If construction machinery operates continuously to meet construction deadlines, then productivity is improved, but the risk of failure increases
Solution Approach 1:
The system performs preliminary diagnosis actions by continuously monitoring oil properties and equipment status parameters before failure occurs. The control unit analyzes trends in viscosity, permittivity, temperature, and pressure data to predict potential failures and alert operators in advance, enabling preventive maintenance while maintaining continuous operation.
Solution Approach 2:
The system implements continuous feedback monitoring of oil properties (viscosity, permittivity) and equipment operating parameters (temperature, pressure). The control unit processes this feedback data to assess machinery health status and provides real-time alerts when parameters indicate deteriorating conditions, allowing operators to adjust operations or schedule maintenance before failure occurs.
2Reliability
If comprehensive status monitoring is implemented to prevent failure, then reliability is improved, but device complexity increases
Solution Approach 1:
The monitoring system uses multi-functional sensors that simultaneously measure multiple parameters. For example, the oil property sensor measures both viscosity and permittivity, while the equipment sensor measures temperature, pressure, and flow rate. This multi-functionality reduces the number of separate sensors and components needed, lowering overall system complexity while maintaining comprehensive monitoring capability.
Solution Approach 2:
The system combines oil property monitoring and equipment operating parameter monitoring into a single integrated diagnostic system. The control unit processes both oil sensor data and equipment sensor data together to generate comprehensive health assessments, reducing complexity by consolidating multiple monitoring functions into one unified system rather than using separate independent systems.
3Measurement precision
If accurate status diagnosis is achieved through multiple parameters, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The oil property sensor is designed as a multi-functional device that simultaneously measures both viscosity and permittivity of the oil. This single sensor replaces what would otherwise require two separate measurement devices, reducing system complexity while maintaining high measurement precision for both parameters through integrated sensing capability.
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
Enables proactive failure prevention by accurately diagnosing construction machinery status without offline operator intervention, enhancing determination accuracy by combining oil and operating status data.
Implementation Method 1
determining a basic status of the construction machinery through the oil property information and determine an overall status of the construction machinery by reflecting the operating status information
Implementation Method 2
the basic status of the construction machinery may be determined based on kinematic viscosity or permittivity for each temperature section of the oil
Data Source
AI summary
Disclosed is a system for status diagnosis of construction machinery. The system for status diagnosis of the construction machinery to determine the abnormality of the construction machinery may include a sensor unit including at least one or more oil property sensors for detecting oil property information and at least one or more equipment sensors for detecting operating status information, a control unit configured to determine a basic status of the construction machinery through the oil property information and determine an overall status of the construction machinery by reflecting the operating status information of the construction machinery based on the basic status of the construction machinery, and a display unit configured to display a notification according to the determination of the control unit.