Automated Facility Inspection Using Joint Optical and Acoustic Data
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Solution Overview
Problem
Conventional manual inspection of conveyor belts and facilities is labor-intensive, prone to human error, and difficult in inaccessible areas, leading to potential damage and high maintenance costs due to the inability to detect wear and damage in a timely and standardized manner.
Innovation Solution
An automated method using a combination of optical and acoustic data captured by drones and stationary sensors for evaluating the condition of facility parts, allowing for standardized and efficient detection of wear and damage without human intervention, enabling predictive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used to examine conveyor belt facilities, then human judgment and experience can be applied to identify damage, but the inspection process becomes labor-intensive, time-consuming, and prone to human error
Solution Approach 1:
The patent replaces manual visual inspection with an automated optical inspection system that uses cameras and image processing algorithms to detect conveyor belt damage. The system captures images of the conveyor belt surface and uses computer vision techniques to automatically identify tears, holes, and other defects, eliminating the need for manual examination while improving both accuracy and efficiency
Solution Approach 2:
The inspection system is designed to autonomously capture images, process data, and generate inspection reports without requiring human intervention during the actual inspection process. The automated system performs the entire inspection workflow independently, from data acquisition to defect identification and reporting
2Adaptability or versatility
If manual inspection is used to examine conveyor belt facilities, then flexible assessment of damage can be performed, but the inspection becomes difficult in inaccessible areas and requires significant personnel resources
Solution Approach 1:
The patent employs drones equipped with cameras to inspect conveyor belts from aerial perspectives, accessing areas that are difficult or impossible to reach from ground level. This three-dimensional inspection approach enables examination of elevated or remote sections of the conveyor system without requiring physical access from below
3Reliability
If frequent manual inspection is conducted to detect wear and damage early, then preventive maintenance can be scheduled, but labor costs and operational disruption increase
Solution Approach 1:
The automated inspection system enables continuous or frequent monitoring of conveyor belts without the operational disruptions associated with manual inspection. The system can operate during normal facility hours, capturing images and analyzing belt condition continuously, which allows for early detection of wear and damage while maintaining uninterrupted production
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
This approach enhances inspection quality, reduces personnel costs, and allows for timely maintenance by providing consistent and reliable data for monitoring conveyor belts and facilities, minimizing the risk of failure and downtime.
Implementation Method 1
capturing optical data from exactly one facility part of the facility
Implementation Method 2
capturing acoustic data from at least the same facility part of the facility
Data Source
AI summary
The present invention relates to a method for inspecting a facility (1), wherein the method comprises at least the automatically executed steps of:capturing (100a) optical data from at least one facility part (12, 13) of the facility (19),capturing (100b) acoustic data from at least the same facility part (12, 13) of the facility (19), andjointly evaluating (200) the captured optical data and the captured acoustic data.