Cloud Monitoring for Lifting Equipment Predictive Maintenance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Operators and owners of cranes and other lifting equipment lack technical insights, leading to inefficient maintenance and increased operational complexities.
Innovation Solution
A cloud-based monitoring system that receives operational data, determines key quantities, and enables remote management, predictive maintenance, and real-time analysis to enhance safety and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If operators or owners manually monitor lifting equipment, then they have direct control over the equipment, but they lack technical insights and face increased operational complexity
Solution Approach 1:
The patent introduces a cloud-based monitoring system as an intermediary between the lifting equipment and the operators/owners. The system includes sensors mounted on the equipment that collect operational data, transmit it via network to a cloud server, which then processes and presents the information through a user interface. This intermediary system provides comprehensive technical insights without requiring operators to directly complex monitoring infrastructure.
2Productivity
If no monitoring system is implemented, then the system remains simple, but maintenance efficiency is poor and downtime cannot be predicted
Solution Approach 1:
The monitoring system performs preliminary actions by continuously collecting and analyzing operational data from the lifting equipment. It tracks parameters such as load capacity, operational hours, and component wear indicators, processing this data through algorithms that predict potential failures before they occur. This allows maintenance to be scheduled proactively based on actual equipment condition rather than reactive repairs after breakdowns.
3Reliability
If real-time monitoring is implemented, then safety and operational insights are improved, but data processing requirements and infrastructure complexity increase
Solution Approach 1:
The monitoring system is segmented into distinct functional modules: sensor units mounted on the equipment that collect specific parameters, communication modules that transmit data, a cloud-based server that processes and stores information, and a user interface that presents insights. This segmentation allows each component to be optimized independently and reduces the complexity burden on any single element of the system.
Data Source
Figure 1
Figure 2
AI summary
Provided is a method (100) for a cloud source for monitoring at least one piece of lifting equipment. The method includes receiving operational data (102) of the at least one piece of lifting equipment. Additionally, the method includes determining (104) at least one quantity characterizing the at least one piece of lifting equipment based on the operational data.