Dynamic Data Transmission via FFT Signal Conversion
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Solution Overview
Problem
Industrial equipment monitoring generates large quantities of dynamic data, making it challenging to transmit efficiently over networks due to high bandwidth requirements.
Innovation Solution
A system that converts raw dynamic data into digitized sinusoidal signals using a Fast Fourier Transform, allowing for the extraction of phase, amplitude, and frequency data, which is then packed and compressed for efficient transmission over a network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If raw dynamic data is transmitted over the network, then complete information is provided, but bandwidth requirements become excessively large
Solution Approach 1:
The patent extracts only the essential features from the raw dynamic data by performing Fast Fourier Transform to obtain amplitude, frequency, and phase information. This extraction principle removes unnecessary data while preserving the critical characteristics needed for machine condition monitoring, thereby reducing data volume while maintaining information completeness.
Solution Approach 2:
The patent introduces an intermediary processing system that performs signal analysis and data packing between the data source and network transmission. This intermediary converts raw data into a compressed representative format, acting as a mediator that reduces bandwidth requirements while preserving essential diagnostic information.
2Productivity
If data is compressed to reduce bandwidth, then transmission efficiency improves, but data processing complexity increases
Solution Approach 1:
The patent changes the parameters of the data representation by transforming raw time-domain signals into frequency-domain parameters (amplitude, frequency, phase) through Fast Fourier Transform. This parameter transformation enables efficient compression while the subsequent data packing step organizes these parameters into a compact format that balances processing complexity with transmission efficiency.
Data Source
AI summary
Disclosed is a system for transmitting dynamic data over a network to a computer resource, the system including at least one receiver configured to receive dynamic data and convert dynamic data into a digitized sinusoidal signal, and a computing resource configured for communication with the network and configured to receive the digitized sinusoidal signal from the at least one receiver, the computing resource configured to employ a Fast Fourier Transform to convert the digitized sinusoidal signal into output data that includes phase data, amplitude data, and frequency data of the digitized sinusoidal signal, the output data being transmittable over the network in at least one packet.