Construction Machine Sensor Data Extraction for Failure Detection
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Solution Overview
Problem
Existing operation data collection devices for construction machines are inefficient in reducing the amount of information stored, leading to potential failures being overlooked due to excessive data collection and storage requirements, particularly in systems like hydraulic fluid cooling, engine cooling water, and engine intake/exhaust systems.
Innovation Solution
An operation data collection device that calculates deviations from normal reference values for various sensors, prioritizes and stores only the most significant data indicative of impending failures, using a stored sensor item extraction section to sequentially select and store sensor data based on calculated deviations, thereby reducing the amount of information stored without compromising maintenance quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large number of sensors are installed to minutely confirm the operating status of multiple systems, then the ability to detect impending failures is improved, but the amount of data to be stored increases enormously
Solution Approach 1:
The patent extracts only the essential sensor items that are most indicative of impending failures from the complete set of sensor data. The extraction section selectively identifies and extracts sensor items with high failure indication value, storing only these extracted items rather than all sensor data, thereby reducing storage volume while maintaining reliable failure detection capability
Solution Approach 2:
The patent applies local quality by differentiating between sensor items based on their individual characteristics and failure indication values. Each sensor item is evaluated and assigned different storage priorities based on its specific contribution to failure prediction, rather than treating all sensor data uniformly. This allows critical local information to be preserved while non-critical data is reduced
2Loss of information
If all sensor data is constantly monitored and stored, then comprehensive operation status information is obtained, but the device complexity and storage requirements increase significantly
Solution Approach 1:
The extraction section selectively extracts only the necessary sensor items that provide sufficient information for maintaining complete operation status awareness. By extracting key sensor items with high failure indication values, the system maintains comprehensive monitoring capability while using a simpler storage structure that only retains essential data
Solution Approach 2:
Instead of storing all sensor data and then analyzing it, the patent inverts the approach by first extracting only the critical sensor items that contain the essential operation status information, and then storing only these extracted items. This inversion reduces storage complexity while preserving the completeness of operation status information
Data Source
AI summary
Provided is an operation data collection device for construction machines that is capable of efficiently collecting operation data indicative of impending failure of a construction machine by reducing the amount of information to be collected and stored without degrading the quality of information used for maintenance. The device receives operation data containing values measured by a plurality of sensors, a value indicating the operating status and an operation data storage section. The device includes a normal reference value storage section that stores a normal reference value for each of the sensors generating the operation data, a deviation calculation section that calculates the deviation of each of the sensors from the normal reference value, and a stored sensor item extraction section that extracts sensor items of operation data to be stored in the operation data storage section in accordance with the calculated deviation of each sensor.