Smart Sensor Signal Compression for Reliable Multi-Sensor Transmission
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Solution Overview
Problem
Conventional measuring systems face limitations in data transmission capacity and reliability, leading to potential data loss and restrictions on the number of sensor devices that can interact with a computer or data processing device.
Innovation Solution
A 'smart sensor' device that performs preliminary data processing within its housing, compressing data by extracting essential frequency information through algorithms like Fourier transformation, reducing the amount of data transmitted and enhancing flexibility in data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is transmitted from multiple sensor devices to a computer or data processing device, then measurement capability is improved, but data transmission reliability deteriorates due to data loss
Solution Approach 1:
The patent applies preliminary action by performing data processing and feature extraction at the sensor device before transmission. The sensor device executes algorithms to extract relevant features from raw measurement data, transforming it into a compressed representation that contains essential information while occupying less transmission bandwidth, thereby preventing data loss in multi-sensor systems
Solution Approach 2:
The patent implements extraction by removing redundant information from the raw measurement data. The data processing means extracts only the most relevant features from the complete data set, separating essential information from unnecessary data. This extraction process reduces the data volume that needs to be transmitted while maintaining measurement capability
2Adaptability or versatility
If more sensor devices are connected to a computer or data processing device, then system functionality is improved, but data transmission capacity is exceeded leading to data loss
Solution Approach 1:
The sensor device performs preliminary data processing and compression before transmission, extracting essential features from raw data. This pre-processing reduces the data volume that needs to be transmitted across the network, enabling more sensor devices to connect without exceeding transmission capacity and causing data loss
Solution Approach 2:
The patent changes the parameter of data representation from raw measurement values to extracted features. By transforming the data into a different parameter space (feature space instead of raw data space), the system reduces transmission requirements while preserving the essential information needed for system functionality
3Loss of information
If raw measurement data is transmitted from sensor devices, then data completeness is improved, but transmission bandwidth requirements increase
Solution Approach 1:
The data processing means extracts only the most relevant features from the complete raw measurement data, separating essential information from redundant data. This extraction maintains data completeness for the essential aspects while significantly reducing the quantity of data that needs to be transmitted
Solution Approach 2:
The sensor device performs preliminary feature extraction and data compression before transmission. By processing the data locally and extracting essential features in advance, the system reduces the bandwidth requirements for transmission while maintaining the completeness of essential measurement information
4Productivity
If data processing is performed at the sensor device, then transmission efficiency is improved, but device complexity increases
Solution Approach 1:
The sensor device performs preliminary data processing and feature extraction before transmission. By executing algorithms locally to extract relevant features from raw data, the system improves transmission efficiency by reducing the data volume that needs to be transmitted, while the added complexity is confined to individual sensor devices rather than the entire system
Data Source
AI summary
A sensor device for a measuring system. The sensor device includes a sensor housing, at least one sensor arranged thereon/therein and using which each measurement curve representing a temporal progression of a measurement signal determined by the sensor can be measured, a data processor using which a communication control signal can be output, taking into account the at least one measurement curve output by the at least one sensor, and a communication arrangement which can be controlled by the output communication control signal in such a way that at least one corresponding communication signal can be transmitted by the communication arrangement to a computer and/or data processing device external to the sensor housing.