Wireless Communication Failure Analysis Device for Obstacle Detection
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Solution Overview
Problem
Existing techniques are insufficient for accurately and efficiently analyzing the cause of deteriorated wireless communication states, particularly in environments where obstacles affect signal strength, such as construction sites or plants with rapidly changing physical conditions.
Innovation Solution
A wireless communication failure analysis device that estimates the movement locus of a communication terminal device relative to an access point, corrects this locus based on restriction information, and repeatedly generates and strengthens restriction content to improve estimation accuracy, ultimately identifying the presence and impact of obstacles on the communication state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing techniques (PTLs 1-3) are used to analyze wireless communication failures, then basic failure detection is possible, but analysis accuracy and efficiency are insufficient for rapidly changing environments with obstacles
Solution Approach 1:
The system pre-establishes a database of obstacle characteristics and communication state patterns before actual failure analysis. By preparing reference data and analysis models in advance, the system can quickly compare actual measurements against pre-stored patterns, significantly improving both accuracy and efficiency of failure analysis in dynamic environments
Solution Approach 2:
The system creates virtual models and digital replicas of physical obstacles and communication environments. By copying real-world obstacle characteristics into virtual representations, the system can perform repeated analysis simulations without requiring actual physical presence, thereby improving analysis accuracy while maintaining efficiency
2Measurement precision
If the wireless communication environment is monitored continuously to detect obstacles, then detection accuracy improves, but system complexity and computational load increase
Solution Approach 1:
The system extracts and isolates specific key parameters (such as signal strength variations, phase changes, and packet error rates) that are most indicative of obstacle presence. By focusing only on these critical parameters rather than analyzing all available data, the system achieves high detection accuracy while keeping computational complexity manageable
Solution Approach 2:
The system introduces intermediate processing layers including signal filtering modules, feature extraction components, and pattern matching algorithms that act as mediators between raw sensor data and final obstacle detection results. These intermediaries simplify the overall system complexity by breaking down the detection process into manageable stages
Data Source
AI summary
A wireless communication failure analysis device comprises: an estimator which, based on a measured communication state between an access point and a communication terminal, and an estimation of an obstacle affecting the communication state, estimates a movement locus of the communication terminal; a corrector which corrects the movement locus based on restriction information indicating a movement restriction of the communication terminal; a generator which generates the estimation result based on a corrected movement locus and the measurement result; and a controller which generates the restriction information so as to gradually strengthen the movement restriction until the movement restriction satisfies a condition, and controls the estimator and generator such that the estimation of the movement locus, the correction of the movement locus, and the generation of the estimation result repeatedly. Thus, the device analyzes presence of an obstacle that affects the wireless communication state efficiently and accurately.