Base Station Placement Reliability Coefficient for Incomplete Point Cloud Data
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Solution Overview
Problem
Existing methods for base-station design using three-dimensional point cloud data may produce inaccurate results when there are gaps in the data, leading to unreliable line-of-sight determinations and shield factor calculations.
Innovation Solution
A station placement assistance method that generates positional relationship specification data to assess the reliability of processing results based on the acquisition state of point cloud data, allowing for appropriate base-station design even with incomplete data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If point cloud data is acquired by a moving body traveling along roads to evaluate wireless communication, then base station design can be performed using three-dimensional data, but point cloud data cannot be partially obtained in many places, leading to low accuracy in processing results
Solution Approach 1:
The patent introduces an intermediary system that fills gaps in point cloud data by generating virtual point cloud data for regions where the moving body could not travel. This intermediary data completion mechanism allows the system to work with incomplete original data while producing complete evaluation results, thereby resolving the contradiction between data completeness and measurement accuracy.
Solution Approach 2:
The patent performs preliminary data completion by generating virtual point cloud data before conducting line-of-sight determination and shield factor calculations. By pre-filling the gaps in the point cloud data, the system ensures that subsequent measurements are performed on complete data, thus improving measurement precision without requiring complete original data acquisition.
2Productivity
If base station design is performed using incomplete point cloud data, then processing can be completed with available data, but the processing results have low reliability leading to erroneous decisions
Solution Approach 1:
The patent introduces a reliability coefficient as an intermediary indicator that quantifies the quality of processing results based on the completeness of point cloud data. This coefficient allows the system to maintain processing efficiency with incomplete data while providing reliable guidance on the trustworthiness of results, enabling users to make informed decisions about whether additional data acquisition is needed.
Solution Approach 2:
The patent implements a feedback mechanism where the reliability coefficient is calculated and provided back to users along with processing results. This feedback allows users to assess the quality of results and determine whether re-acquisition of point cloud data is necessary, thus maintaining both processing efficiency and result reliability.
3Loss of information
If a moving body travels vertically and horizontally to acquire point cloud data for all evaluation targets, then complete data can be obtained, but the cost and complexity of data acquisition increases significantly
Solution Approach 1:
The patent performs preliminary assessment of data completeness and generates virtual point cloud data for missing regions before full data acquisition is attempted. This preliminary action allows the system to determine whether complete data acquisition is actually necessary, thereby reducing the complexity and cost of data acquisition while ensuring data completeness only when truly needed.
Solution Approach 2:
The patent applies partial action by acquiring point cloud data only in regions where it is actually needed for base station evaluation, rather than comprehensively acquiring data for all possible evaluation targets. The system generates virtual data for regions where physical data acquisition would be unnecessary or overly complex, thus reducing overall system complexity.
Data Source
AI summary
The present invention performs: generating base station positional relationship specification data indicating a positional relationship between travel trajectory and a base station candidate position, and terminal station positional relationship specification data indicating a positional relationship between the travel trajectory and a terminal station candidate position, based on travel trajectory data indicating the travel trajectory of a moving body for measuring an object present in a three-dimensional space within a measurable distance predetermined and acquiring point cloud data indicating a position of the object measured in the three-dimensional space, the measurable distance, base station candidate position data indicating a candidate position for installing a base station apparatus, and terminal station candidate position data indicating a candidate position for installing a terminal station apparatus; and specifying a reliability coefficient indicating a degree of reliability of a processing result of a prescribed evaluation processing performed based on the point cloud data, based on the base station positional relationship specification data and the terminal station positional relationship specification data generated.