Sensor Network Data Filtering for Proximity and Contact Sensors
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Solution Overview
Problem
The aggregation of data from a combined type sensor network, including proximity and contact sensors, leads to increased data quantity, hindering effective processing.
Innovation Solution
A sensor network with sensor modules and a central processing unit processes data by transmitting composite sensor data only when the sensor data indicates a designated state, reducing data transmission while maintaining accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a plurality of combined type sensors including proximity and contact sensors is dispersedly arranged on the target object, then the sensing coverage and detection capability are improved, but the quantity of data aggregated from the sensors is significantly increased, which hinders data processing
Solution Approach 1:
The sensor data processing unit extracts and transmits only the necessary sensor data that indicates designated states to the central processing unit, while filtering out unnecessary data. This extraction principle reduces the quantity of transmitted data while maintaining the essential sensing coverage and detection capability.
Solution Approach 2:
Different sensor modules transmit data selectively based on their local detection needs and designated states. Each sensor module independently determines which data to transmit, creating a local quality control mechanism that reduces overall data quantity while preserving detection precision where needed.
2Loss of information
If all sensor data from multiple sensors is transmitted to the central processing unit, then the completeness of data for state estimation is improved, but the data transmission load and processing complexity increase
Solution Approach 1:
The system extracts only the essential sensor data that indicates designated states for transmission to the central processing unit. This extraction maintains the completeness of information needed for state estimation while significantly reducing data transmission load and processing complexity.
Solution Approach 2:
The sensor data processing unit performs preliminary processing and filtering of sensor data before transmission, identifying and transmitting only data that indicates designated states. This preliminary action reduces the burden on the central processing unit while maintaining data completeness for state estimation.
3Quantity of substance
If sensor data is filtered to transmit only data indicating designated states, then the data transmission quantity is reduced, but the risk of losing important state information increases
Solution Approach 1:
The sensor data processing unit uses feedback mechanisms to determine whether sensor data indicates designated states before transmission. This feedback process ensures that only relevant data is filtered out while maintaining the reliability and accuracy of state estimation by preserving important state information.
Solution Approach 2:
The system performs preliminary analysis of sensor data to identify data indicating designated states before transmission. This preliminary action ensures that important state information is not lost during filtering, maintaining estimation accuracy while reducing transmission quantity.
Data Source
AI summary
In a case where first sensor data SD1 output from a proximity sensor S1 included in a sensor module Smod (i) indicates a first designated state, only first composite sensor data Dt1 including the first sensor data SD1 and a first flag F1 indicating the type of the proximity sensor S1 or the first designated state is transmitted from the sensor module Smod (i) to a central processing unit Smod (0) via a network. In this case, second composite sensor data Dt2 including second sensor data SD2 and a second flag F2 indicating the type of a contact force sensor S2 or the second designated state is not transmitted from the sensor module Smod (i) to the central processing unit Smod (0) via the network.