Indoor Location Mapping via UWB and Bluetooth RSSI Correlation
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Solution Overview
Problem
Conventional indoor location systems require a labor-intensive and time-consuming setup process, involving manual measurement and marking of physical locations, which leads to high costs and inaccurate data points, resulting in inefficient implementation and high setup costs.
Innovation Solution
The implementation of a location correlation system using ultra-wide band (UWB) and Bluetooth radio systems, where UWB anchors provide precise location detection and Bluetooth anchors offer reference data through received signal strength indication (RSSI) values, enabling simultaneous location determination and mapping, thereby reducing setup time and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement and marking of physical locations is performed separately to determine RSSI values, then location data can be obtained, but the setup process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent combines the manual measurement and marking operations into a single integrated process. The mobile device automatically performs both location determination and RSSI measurement simultaneously, eliminating the need for separate manual steps while maintaining data accuracy.
Solution Approach 2:
The system enables self-service by allowing the mobile device to automatically determine its own location and measure RSSI values without requiring manual intervention. The device autonomously correlates location data with signal strength readings, reducing labor requirements.
2Measurement precision
If manual measurement and marking of physical locations is performed separately to determine RSSI values, then location data can be obtained, but the setup process becomes labor-intensive
Solution Approach 1:
The patent merges multiple manual operations into a single automated process where location determination and RSSI measurement are performed together by the mobile device, significantly reducing setup complexity while maintaining measurement precision.
Solution Approach 2:
The patent replaces manual mechanical measurement processes with electronic automation. The mobile device uses its location module and radio frequency module to automatically determine location and measure RSSI values, eliminating the need for manual measurement tools and procedures.
3Measurement precision
If separate manual steps are used to measure and mark physical locations, then location mapping can be created, but setup costs increase
Solution Approach 1:
The mobile device performs self-service by automatically determining location and measuring RSSI values without requiring external measurement equipment or manual marking tools, reducing setup costs while maintaining mapping accuracy.
Solution Approach 2:
The patent replaces expensive manual measurement equipment and professional surveying tools with the mobile device's built-in location and radio frequency capabilities, significantly reducing setup costs while maintaining measurement precision.
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
This approach allows for faster and more accurate location mapping and tracking within indoor environments, reducing setup time and costs while improving data accuracy, and can be adapted for various radio-based systems like Bluetooth Low Energy, Wi-Fi, RFID, and NFC.
Implementation Method 1
a first set of radio signals received from one or more ultra-wide band radios that transmit location data to the mobile device
Implementation Method 2
a second set of radio signals received from one or more beacon messaging radios that transmit beacon messages... determining a received signal strength indication (RSSI) value from each of the beacon messages
Data Source
AI summary
In aspects of location correlation in a region, a mobile device implements a location module that determines a current location of the mobile device in a region within communication range of a radio system based on location data received in radio signals from the radio system. The location module determines region coordinates at the current location of the mobile device in the region. The location module can then associate the region coordinates at the current location of the mobile device in the region with pixel grid coordinates determined from a digital image view as captured by a camera system in the region, and generate a location mapping of the region based on the current location and subsequent locations of the mobile device in the region. The location mapping correlates the locations of the mobile device in the region based on the pixel grid coordinates at the respective locations.