Conveyor Path Sensors for Real-Time Brush Failure Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conveyor and sortation systems in e-retail and shipping facilities face significant downtime due to equipment failures, which are difficult to detect and maintain, especially in expansive and inaccessible environments, leading to increased maintenance costs and revenue loss from damaged goods.
Innovation Solution
Implementing a multi-sensor diagnostics system that includes path sensors and industrial monitoring devices to detect conditions such as brush temperature, vibration, and ozone levels, providing real-time data and predictive maintenance insights through a network of sensors and cameras, allowing for targeted maintenance and reduced downtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual inspection is used to locate equipment failures, then personnel can identify the source of failure, but significant down-time occurs due to the expansive and inaccessible space requiring inspection
Solution Approach 1:
The patent installs sensors (thermal, vibration, acoustic, etc.) on conveyor equipment to continuously monitor conditions before failures occur. This preliminary detection allows maintenance teams to be alerted in advance and prepare for repairs, significantly reducing the time lost when failures actually occur.
Solution Approach 2:
The patent introduces sensors as intermediary devices between the equipment and maintenance personnel. These sensors act as mediators that detect equipment conditions and transmit data to monitoring systems, eliminating the need for personnel to physically inspect hard-to-reach areas and reducing inspection time.
2Reliability
If personnel physically inspect equipment in inaccessible areas, then they can locate failures, but safety risks increase due to hazardous moving parts and difficult access
Solution Approach 1:
The patent replaces manual physical inspection with automated sensor-based monitoring systems. Thermal sensors detect overheating, vibration sensors detect abnormal mechanical conditions, and acoustic sensors detect unusual sounds, all without requiring personnel to physically access hazardous areas.
Solution Approach 2:
The equipment essentially monitors itself through integrated sensors that detect their own operational conditions. The conveyor system's components report their own status (temperature, vibration, etc.) automatically, eliminating the need for human inspectors to expose themselves to safety hazards.
3Reliability
If traditional monitoring methods are used, then equipment conditions can be checked, but predictive maintenance is not possible and downtime cannot be minimized
Solution Approach 1:
The patent implements continuous feedback loops where sensors monitor equipment conditions in real-time, data is transmitted to monitoring systems, and alerts are generated when thresholds are exceeded. This feedback mechanism enables predictive maintenance by identifying trends before failures occur, allowing scheduled maintenance during non-critical periods rather than emergency repairs that disrupt productivity.
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 enables continuous, real-time monitoring and predictive maintenance, reducing downtime and damage to goods by providing actionable insights into equipment conditions and allowing for proactive maintenance, thereby minimizing maintenance costs and improving operational efficiency.
Implementation Method 1
the sensor is a thermal sensor, and the path sensor further comprises a housing configured for mounting to the conveyor to move with the conveyor, the housing having a view portion thereof that extends over at least part of the brushes and has an aperture therein to provide a field of view for the thermal sensor that encompasses the at least part of the brushes
Data Source
AI summary
An industrial IoT system is provided that has adaptable, re-configurable, connected and integrated suite of smart, synchronized sensors and video/thermal cameras for continuous monitoring, access and control from anywhere in an industrial environment. A path sensor comprises a multi-sensor device with lookaround housing feature for monitoring conditions of conveyor brushes. A package sensor comprises a multi-sensor device with sensors adapted for mounting in different form factor carriers for monitoring conditions during package transport. A software platform integrates multiple layers of information from the sensors and video/thermal cameras and corresponding RFID locations into a single meaningful experience/assessment tool that can further be superimposed on a scaled representation of a monitored industrial environment generated from a map and dimensions for same.