Signal Strength Distance Calculation for Noisy Production Sites
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Solution Overview
Problem
In production sites with many disturbances, existing information collection systems face challenges in accurately receiving signals from transmitters to receivers, leading to inaccuracies in determining distances and dwell times, which affects the precision of inventory management and operator location tracking.
Innovation Solution
An information collection system comprising a transmitter, receiver, and processor that calculates the distance between the transmitter and receiver based on signal strength, using methods such as averaging distances or employing noise reduction techniques like standard deviation and acceleration sensing to improve accuracy, even in noisy environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic signal collection methods are used to reduce manual input burden, then operational efficiency is improved, but measurement precision deteriorates due to signal disturbances in production sites
Solution Approach 1:
The system performs preliminary actions by collecting multiple signal strength values over time before calculating distance. The processor stores multiple received signal strength values in a buffer and selects appropriate values for distance calculation, preparing data in advance to handle disturbances and improve measurement accuracy without requiring manual intervention
Solution Approach 2:
The system implements feedback mechanisms where the processor continuously monitors signal strength values, compares them against criteria, and adjusts the selection of values used for distance calculation. This feedback loop allows the system to adapt to signal disturbances and maintain measurement precision while operating automatically
2Extent of automation
If signal strength is used to calculate distance, then automation is improved, but reliability deteriorates due to noise and disturbances in production environments
Solution Approach 1:
The system performs preliminary data collection and filtering actions by storing multiple signal strength values in a buffer before processing. This preliminary action allows the system to have multiple data points ready for analysis, improving reliability of automatic distance calculation in noisy production environments
Solution Approach 2:
The processor acts as an intermediary between the receiver and the final distance calculation. It mediates by selecting and processing appropriate signal strength values from the buffer, filtering out noise and disturbances to produce reliable distance measurements while maintaining automatic operation
3Measurement precision
If multiple signal values are collected and averaged, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the signal processing task by dividing signal strength values into discrete units stored in a buffer. Each signal value is processed independently and then combined through averaging, this segmentation allowing complex processing to be broken down into manageable steps that improve precision without overwhelming system complexity
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 system enhances the precision of distance and dwell time calculations, leading to more accurate inventory management and operator location tracking, reducing the burden of manual data entry and improving operational efficiency.
Implementation Method 1
a transmitter (10) that emits a signal, a receiver (20) that receives the signal
Data Source
AI summary
According to one embodiment, an information collection system comprises a transmitter, a receiver, and a processor. The transmitter emits a signal. The receiver receives the signal. The processor calculates a distance between the transmitter and the receiver from a strength of the signal received by the receiver. The processor calculating the distance between the transmitter and the receiver from the strength of the signal for each of the signals received during a first interval, and using an average distance as the distance between the transmitter and the receiver, the average distance being obtained by averaging the plurality of calculated distances.