Wi-Fi Fingerprint Mapping With Autonomous Indoor Data Collection
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Solution Overview
Problem
Current indoor positioning systems are often imprecise, complex, and costly to establish and maintain, particularly those based on Wi-Fi signals, requiring significant time and money for data collection and updates.
Innovation Solution
A system and method utilizing a Wi-Fi fingerprint collecting device equipped with wireless transceiver modules, a processing module, an environmental sensing module, and a moving module to automatically collect and generate positioning map data by moving along predetermined paths and collecting Wi-Fi fingerprint data at set points, leveraging technologies like LiDAR and UWB for environmental sensing and adaptive localization algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual Wi-Fi fingerprint data collection is used to establish positioning map data, then positioning accuracy is improved, but construction time and cost increase significantly
Solution Approach 1:
The system employs autonomous mobile robots that automatically navigate through the target area, collect Wi-Fi fingerprint data, and generate positioning map data without human intervention. The robots self-manage the entire data collection process including movement, data acquisition, and initial processing, eliminating the need for manual data collection operations.
Solution Approach 2:
The patent replaces manual mechanical data collection methods with automated robotic systems equipped with wireless transceivers. The mechanical system of human operators is substituted by robotic platforms that use sensors, navigation algorithms, and automated path planning to perform the same function more efficiently.
2Measurement precision
If manual Wi-Fi fingerprint data collection is used to establish positioning map data, then positioning accuracy is improved, but construction cost increases significantly
Solution Approach 1:
The autonomous robots perform self-service by automatically navigating, collecting data, and generating positioning maps without requiring human operators. This eliminates labor costs and reduces the need for specialized personnel, significantly lowering the overall construction cost of the positioning system.
Solution Approach 2:
The system replaces expensive manual labor with cost-effective robotic platforms. The automated systems reduce operational costs and eliminate the need for continuous human intervention, making the overall system more cost-efficient despite the initial investment in robotic hardware.
3Reliability
If traditional indoor positioning systems are implemented, then positioning functionality is achieved, but system complexity increases
Solution Approach 1:
The autonomous mobile robots serve multiple functions: they navigate autonomously, collect Wi-Fi fingerprint data, perform environmental sensing, and generate positioning map data. This multi-functionality consolidates what would otherwise require separate systems into a single integrated platform, reducing overall system complexity.
Solution Approach 2:
The patent combines navigation, data collection, sensing, and map generation functions into a single integrated robotic system. By merging these previously separate functions into one unified platform, the system reduces complexity while maintaining all necessary positioning functionalities.
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 significantly reduces construction and maintenance costs by automating the data collection process, saving time and resources while providing accurate indoor positioning data.
Implementation Method 1
the environmental sensing module includes a LiDAR module and at least one ultra-wideband (UWB) module, and the environmental sensing includes: configuring the LiDAR module to perform distance measurement on the surrounding environment to obtain the environmental information
Implementation Method 2
configuring the at least one UWB module to measure distances from a plurality of base stations located in the surrounding environment to assist in determining the location of the Wi-Fi fingerprint collecting device in the target area
Data Source
AI summary
A system for establishing positioning map data and a method for the same are provided. The method includes: obtaining an area map of a target area; setting collection points and a collection path; configuring a Wi-Fi fingerprint collecting device to obtain the area map, the collection points and the collection path; configuring an environmental sensing module to perform environmental sensing on surrounding environment to obtain environmental information; performing a positioning procedure to determine a location of the Wi-Fi fingerprint collecting device in the target area based on the environmental information and the area map to generate positioning information; executing a navigation procedure to move the Wi-Fi fingerprint collecting device along the collection path; determining whether or not the Wi-Fi fingerprint collecting device passes through one of the collection points; and executing a collection procedure to store collected Wi-Fi fingerprint data and positioning information to create positioning map data.