Scanning Prediction Algorithm for Abrupt Distance Changes
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Solution Overview
Problem
Existing distance measuring surveying instruments, such as total stations, face challenges in efficiently scanning surfaces or volumes of objects due to abrupt distance and signal strength changes, leading to inefficiencies and reduced accuracy.
Innovation Solution
The method involves dividing the scanning area into subsets and using information from adjacent subsets to define measurement ranges, optimizing scanning by predicting and adjusting for changes in distance and signal strength, and incorporating error correction procedures to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a total station uses a tracking filter to follow distance changes, then it can handle moderate distance changes over time, but it cannot cope with abrupt distance and signal strength changes when scanning surfaces like buildings
Solution Approach 1:
The scanning area is divided into multiple subsets, and measurements are performed sequentially in each subset. This segmentation allows the system to use prediction algorithms based on adjacent subset data to handle abrupt changes in distance and signal strength, improving reliability while maintaining scanning productivity.
2Measurement precision
If the total station scans a surface with abrupt distance changes (e.g., windows, sky), then it can capture complete surface data, but measurement time increases and accuracy decreases
Solution Approach 1:
The system performs preliminary scanning of adjacent subsets to establish prediction algorithms before measuring points in the current subset. This preliminary action provides reference data that speeds up measurements and improves accuracy when encountering abrupt distance changes, reducing overall measurement time.
Solution Approach 2:
The system uses feedback from measurements in adjacent subsets to predict and adjust measurements in the current subset. This feedback mechanism allows the total station to adapt to abrupt distance and signal strength changes, improving measurement precision while maintaining efficient scanning speed.
3Reliability
If the total station uses conventional scanning methods, then the device complexity remains low, but it cannot efficiently handle abrupt distance and signal strength changes
Solution Approach 1:
The total station uses its own measurement data from adjacent subsets to create prediction algorithms that serve the current measurement process. This self-service approach improves reliability in handling abrupt changes without requiring external complex systems, as the instrument uses its accumulated data to enhance its own performance.
Data Source
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AI summary
The present invention relates to a distance measuring measurement instrument and a method for such a station for scanning a surface or volume of an object. The measurement instrument comprises a position calculating circuit adapted to calculate position data including at least horizontal and vertical angle and distance between the measurement instrument (1) and the object (30). A plurality of points in each of a number of subsets (si, s,..., sy) of a scanning area (31) of the object (30) during a measurement session and, at detection of a new point (Pls2, P2s2,..., Pxsy) in the new subset (s2), information related to at least one point (Plsl, P2sl,..., Pxsl) having a corresponding location in at least one preceding subset is used, the preceding subset being adjacent to the new subset.