IoT Location Calibration Using Map Infrastructure Data
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Solution Overview
Problem
Existing location tracking systems for IoT devices, such as GPS-based solutions, often suffer from low accuracy, especially in environments with infrastructure features like building walls, leading to mis-location issues and significant resource expenditures for relocation efforts.
Innovation Solution
A method that uses machine logic to calibrate location data of mobile articles by combining movement path data with map data specifying infrastructure features, improving location accuracy without requiring additional hardware or significant resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS-based location tracking is used for IoT devices, then location monitoring capability is provided, but location accuracy deteriorates in environments with infrastructure features like building walls
Solution Approach 1:
The patent introduces map data representing infrastructure features (buildings, walls, roads) as an intermediary element between the mobile article and the location determination system. This intermediary map data allows the system to understand the environmental context and use movement path data to infer accurate locations even when direct GPS signals are blocked by infrastructure features like building walls.
2Measurement precision
If additional hardware is added to improve location accuracy, then measurement precision improves, but device complexity and resource consumption increase
Solution Approach 1:
The patent creates a virtual copy of the environmental map containing infrastructure features, which is then used to interpret movement path data. Instead of adding physical sensors or hardware to improve location accuracy, the system uses this copied map representation to algorithmically determine accurate locations, thereby improving measurement precision without increasing hardware complexity.
Solution Approach 2:
The patent replaces the need for additional physical location determination hardware with a computational approach. By substituting mechanical/sensor-based location determination with a system that processes movement path data against map data using machine logic, the system achieves improved location accuracy without adding physical components, thus reducing device complexity and resource consumption.
3Reliability
If relocation efforts are undertaken for mis-located devices, then operational correctness is improved, but resource expenditure and time consumption increase
Solution Approach 1:
The patent performs preliminary location calibration by determining accurate locations based on movement path data and map data before the mobile article actually performs its operational tasks. This preliminary action ensures that the location information is correct from the outset, preventing mis-location errors and eliminating the need for subsequent relocation efforts, thereby reducing both resource expenditure and time consumption.
Data Source
AI summary
Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining movement path data that specifies a location of a mobile article over time within a geographical area having an infrastructure feature; determining by machine logic based on map data and based on the movement path data calibrated location data of the mobile article, wherein the determining based on map data and based on the movement path data calibrated location data of the mobile article includes using map data that specifies coordinate location data of the infrastructure feature; and providing one or more output based on the determining.