Portable Device Positioning Switch via Barometric and Sound Data
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Solution Overview
Problem
Existing methods fail to accurately identify pedestrians and vehicles in complex indoor environments due to unstable data from motion sensors, leading to poor positioning accuracy.
Innovation Solution
A portable electronic device uses a barometer and sound sensor to collect data synchronously during a preset duration, switching between positioning algorithms and technologies based on barometric and sound intensity data to improve identification accuracy and reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If motion sensors are used to identify pedestrians and vehicles, then positioning function can be implemented, but identification accuracy deteriorates in complex indoor environments
Solution Approach 1:
The patent combines barometric data and sound intensity data from multiple sensors to identify vehicle boarding events. By merging these different data types, the system achieves reliable identification in complex indoor environments where single-sensor approaches fail.
Solution Approach 2:
The patent introduces barometric data as an intermediary indicator to detect vehicle boarding. Instead of directly using motion sensor data which is unreliable indoors, the barometric pressure changes serve as a mediator to infer vehicle boarding events, improving identification accuracy.
2Measurement precision
If multiple positioning algorithms and technologies are maintained for different scenarios, then positioning accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic switching between pedestrian positioning and vehicle positioning modes based on real-time detection of vehicle boarding events. The system adapts its positioning algorithm according to the detected scenario, maintaining high accuracy without requiring all algorithms to run simultaneously.
Solution Approach 2:
The patent changes positioning parameters (algorithm selection) based on detected scenarios. When vehicle boarding is detected through barometric and sound intensity analysis, the system switches from pedestrian positioning parameters to vehicle positioning parameters, optimizing accuracy for each scenario.
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
The solution effectively enhances the accuracy of identifying pedestrians and vehicles, providing a more intelligent and user-friendly experience by seamlessly switching between positioning technologies and algorithms, while minimizing power consumption.
Implementation Method 1
obtaining barometric data collected by the barometer
Implementation Method 2
obtaining sound intensity data collected by the sound sensor
Data Source
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AI summary
This specification discloses a switching method and a portable electronic device, to resolve a prior-art that a pedestrian and a vehicle cannot be accurately identified, so as to effectively improve identification accuracy. The method is applied to a portable electronic device including a barometer and a sound sensor and includes: obtaining barometric data collected by the barometer in preset duration and sound intensity data collected by the sound sensor in the preset duration, where the barometric data includes n groups of collection moments and barometric values, the sound intensity data includes n groups of collection moments and sound intensity values, the barometer and the sound sensor perform collection synchronously, and n is an integer greater than 1; and determining that the barometric data and the sound intensity data meet a preset condition, and switching a first positioning algorithm to a second positioning algorithm or switching a first positioning technology to a second positioning technology.