Wireless Asset Tracking via Cloud Mediator
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Solution Overview
Problem
Existing asset tracking systems are expensive and have limited data processing and remote management capabilities, failing to leverage technological advancements like cloud and AWS server cost efficiency, particularly in aftermarket segments not addressed by OEM solutions.
Innovation Solution
A wireless asset tracking method and system that includes installing sensors on assets to transmit data wirelessly, processing and storing it in a database, and providing remote user access for data display, route monitoring, geofence notifications, and remote control capabilities, utilizing a suite of hardware and web application for efficient management and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional asset tracking systems are used, then basic tracking functionality is provided, but the system cost is high and data processing capabilities are limited
Solution Approach 1:
The patent introduces a remote server as an intermediary between the tracking device and user devices. The tracking device sends data to the remote server, which processes and stores the data, then provides it to user devices upon request. This mediator architecture allows the tracking device itself to remain simple while achieving sophisticated data processing capabilities through the remote server infrastructure.
Solution Approach 2:
The patent extracts complex data processing, storage, and management functions from the tracking device and places them on a remote server. This separation allows the tracking device to be simpler and more cost-effective while the remote server handles the computationally intensive tasks using scalable cloud infrastructure.
2Ease of operation
If traditional asset tracking systems are used, then basic monitoring is provided, but remote management capabilities are limited
Solution Approach 1:
The remote server acts as an intermediary that receives data from tracking devices, processes it, and provides it to user devices upon request. This architecture enables comprehensive remote management capabilities including data retrieval, analysis, and reporting without requiring complex processing at the tracking device itself.
Solution Approach 2:
The patent replaces local mechanical processing systems with cloud-based computing resources. Instead of processing data locally at the tracking device, the system uses remote servers with substantial computing power to handle data processing, storage, and management tasks efficiently.
3Ease of manufacture
If cloud technology is not utilized, then system simplicity is maintained, but cost efficiency and scalability are limited
Solution Approach 1:
The remote server provides universal data processing and storage capabilities that can serve multiple tracking devices and various user devices simultaneously. This multi-functional infrastructure enables the system to scale efficiently by adding more tracking devices without requiring proportional increases in individual device complexity or cost.
Solution Approach 2:
By using a remote server as an intermediary, the system leverages cloud technology to achieve cost efficiency and scalability. The server handles data processing and storage for the entire fleet, allowing individual devices to remain simple while the system as a whole benefits from economies of scale and flexible resource allocation.
Data Source
AI summary
An asset tracking system includes sensors installed on an asset, where the sensors include a positioning sensor, and a remote central computing device configured to receive data from the sensors, process the data, associate it with a date/time of generation, and store the data in a database and including modules. A communication module receives requests for data and transmits the requested data, a display module displays the requested data, including indicating asset position on a map, an asset information module receives asset information and associates it with the asset, a route module receives route information, associates a driver with a route, and determines from the data whether the driver completes the route and whether the driver leaves the route, and a dashboard module displays a time-period data summary detailing information associated with the asset position over a set period of time.