WLAN Probe Device Abnormality Evaluation
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Solution Overview
Problem
Current data mining methods for WLAN probe devices lack effective evaluation of device abnormality and deployment location optimization, leading to suboptimal data acquisition and potential inefficiencies in capturing comprehensive and accurate data.
Innovation Solution
A method and apparatus that acquire positioning and captured data from WLAN probe devices, evaluating device abnormality and deployment effectiveness by identifying matching conditions such as location and terminal identifiers, and generating indication information to assess the need for additional devices or data mining adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data mining is performed directly using captured data without evaluation, then the data mining process is simple and fast, but the data quality and mining accuracy deteriorate due to potential device abnormalities and suboptimal deployment
Solution Approach 1:
The patent performs preliminary evaluation of WLAN probe device status and deployment location before data mining. By acquiring positioning data and captured data, and evaluating whether the device is abnormal or deployed at a reasonable location in advance, the system ensures data quality before mining operations begin, thus improving accuracy without adding complexity during the mining process itself
Solution Approach 2:
The system performs self-evaluation by having the WLAN probe device automatically assess its own operational status and deployment effectiveness. The device generates indication information about its own abnormality and deployment reasonableness, eliminating the need for external manual evaluation and reducing overall system complexity while maintaining high data quality
2Reliability
If WLAN probe devices are deployed without evaluating deployment reasonableness, then the deployment process is simple and quick, but data capture completeness and accuracy deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the system evaluates deployment reasonableness by comparing positioning data with captured data, determines whether the deployment location is appropriate, and provides indication information for optimization. This automated feedback loop ensures reliable data capture while maintaining ease of operation through self-assessment rather than manual optimization
3Loss of information
If the system evaluates device abnormality and deployment effectiveness, then data quality and mining outcomes improve, but the time and computational resources required increase
Solution Approach 1:
The patent extracts only the essential evaluation elements needed to assess device status and deployment effectiveness - specifically focusing on positioning data, captured data, abnormality indicators, and deployment reasonableness. By extracting only these critical components rather than进行全面 analysis, the system ensures data completeness while minimizing evaluation time and computational overhead
Data Source
AI summary
Embodiments of the present disclosure disclose a method and apparatus for acquiring information. A specific implementation of the method includes: acquiring a plurality of pieces of positioning data in a preset time period and a plurality of pieces of captured data captured by a WLAN probe device of a target point of interest in the preset time period; and finding, from the plurality of pieces of positioning data, a plurality of pieces of positioning data meeting a preset condition, and generating, based on the plurality of pieces of positioning data meeting the preset condition, indication information indicating whether the WLAN probe device being abnormal. The method realizes the evaluation of whether the WLAN probe device is abnormal, whether the deployment location of the WLAN probe device is reasonable, and whether it is necessary to add WLAN probe devices.