Monitoring system for wear and tear on construction machinery using sensor data
📜 Abstract
Machines and production facilities increase productivity and economic efficiency by substituting manual labor work on a large scale. The industry’s burden of having machines repaired or maintained has attracted more attention from consumers. Therefore it makes sense to assure the availability of machinery by taking appropriate measures in time. A substantial contribution to timely intervention is the continuous monitoring of data generated by machines, which gives immediate feedback about errors and helps to prevent breakdowns. In this study we present a system which detects wear and tear on construction machinery based on acquired sensor data.
✨ Summary
This paper introduces a monitoring system designed to detect wear and tear on construction machinery by leveraging sensor data. The approach aims to mitigate machine downtime in industries, thereby enhancing productivity and economic efficiency. This is achieved through continuous data monitoring, offering quick detection of errors and preventing potential breakdowns. Though the paper was researched and published in 2012, specific subsequent citations and impacts on later research or industry practices were not readily identifiable through preliminary web searches.