Remote Asset Data Aggregation for Automated Maintenance Allocation
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Solution Overview
Problem
Conventional asset management systems face challenges in efficiently managing remote assets, including commercial vehicles, due to complexity, manual processes, and difficulties in tracking and data integration, leading to safety incidents, increased maintenance costs, and reduced profitability.
Innovation Solution
A system and method for managing remote assets with data aggregation, integrating maintenance supply chains, and facilitating analytics and benchmarking, which includes a server managing data and communications, a database, and a client application that analyzes asset data to determine issues and automatically allocate resources for maintenance, thereby optimizing equipment lifecycle costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional asset management systems are used to track and monitor remote assets, then basic tracking and data monitoring capabilities are provided, but the systems suffer from complexity, manual processes, and difficulties in tracking leading to safety incidents and increased maintenance costs
Solution Approach 1:
The patent combines multiple previously separate functions into a unified cloud-based asset management system. The system integrates regulatory compliance monitoring, predictive maintenance analytics, IoT device management, and communication coordination into a single platform, thereby improving reliability while reducing the complexity of managing multiple separate systems
Solution Approach 2:
The asset management system is designed to perform multiple functions simultaneously: it monitors regulatory compliance, predicts maintenance needs, tracks asset location, manages IoT devices, and coordinates communications between multiple stakeholders. This multi-functionality improves safety compliance without requiring separate specialized systems for each function
2Productivity
If manual processes and records are used for fleet maintenance tracking, then implementation is simple, but tracking difficulty increases leading to incomplete data and unreliable forecasts
Solution Approach 1:
The system enables automatic data collection from IoT sensors embedded in assets, eliminating the need for manual data entry. Assets self-report their status, location, and maintenance needs to the cloud platform, ensuring complete and accurate data tracking while improving maintenance efficiency through automated workflows
Solution Approach 2:
The patent replaces manual mechanical processes (paper records, manual tracking) with automated electronic systems. IoT sensors, cloud computing, and algorithms automatically collect, store, and analyze maintenance data, eliminating data loss associated with manual processes while significantly improving maintenance productivity
3Quantity of substance
If conventional maintenance coordination systems are used, then basic service provider coordination is possible, but data integration difficulties lead to increased maintenance costs and reduced profitability
Solution Approach 1:
The cloud-based platform serves as an intermediary that standardizes and integrates data from multiple sources including asset owners, service providers, manufacturers, and suppliers. This single integration point reduces the complexity of multi-party data exchange while enabling cost optimization through comprehensive data analysis and coordinated maintenance scheduling
Data Source
AI summary
A system and method for managing remote assets with data aggregation. The system including: a server running software to manage data and communications; a database accessible by the server; a client application provided to one or more clients, in communication with the server; wherein the server is configured to control a method that includes: receive communications from the remote asset and receive communications from the client application; analyze the received communications for data related to the remote asset; determine if the data indicates an issue in relation to the remote asset; if so: determine a prescribed action based on the issue and the data; automatically determine resources for the prescribed action; and send communications to at least one of the remote asset and the client application with the prescribed action and determined resources, if not, continue to receive and analyze the received communications.