Signal Processing Module for Wireless Data Transmission
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Solution Overview
Problem
In wireless communication systems, network collisions and packet loss occur due to limited bandwidth when multiple electronic devices transmit data simultaneously, leading to data distortion and increased energy consumption.
Innovation Solution
An electronic device with a capturing module, processing module, and transmission module that selects and transmits only signals representing abnormal events based on predefined criteria, reducing the amount of data transmitted and preventing packet collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple electronic devices transmit data simultaneously in a wireless communication system, then the data transmission speed increases, but network collisions and packet loss occur due to limited bandwidth
Solution Approach 1:
The system performs preliminary analysis of data signals before transmission to identify and select only abnormal or critical signals. The processing module pre-filters signals based on predetermined criteria (such as deviation from normal ranges) before the transmission phase, ensuring that only necessary data occupies bandwidth and reducing collision probability while maintaining transmission speed.
Solution Approach 2:
The invention extracts only the essential abnormal signals from the complete data set for transmission. The processing module separates critical information (abnormal signals indicating equipment issues) from routine data, transmitting only the extracted critical portion. This reduces transmission volume and bandwidth occupancy, thereby reducing packet loss while preserving important information.
2Loss of information
If all captured signals are transmitted, then data completeness is maintained, but the amount of data transmitted increases leading to more packet collisions
Solution Approach 1:
The processing module extracts only abnormal signals that deviate from predetermined normal ranges from the complete data set. This extraction ensures that critical information is preserved while removing redundant normal data, thus reducing transmission volume and packet collision probability without significant loss of important information.
Solution Approach 2:
The system changes the selection parameter from transmitting all signals to transmitting only signals that meet specific abnormality criteria. By applying parameter-based filtering (comparing signals against predetermined thresholds and ranges), the system transforms the transmission set from complete data to selective critical data, reducing collisions while maintaining information quality.
3Reliability
If selective transmission of abnormal signals is implemented, then packet loss is reduced, but the complexity of signal processing increases
Solution Approach 1:
The processing module applies parameter-based filtering using predetermined criteria (normal ranges, thresholds) to automatically identify abnormal signals. This parameter-driven approach provides a systematic and automated method for signal selection that reduces manual complexity while ensuring reliable identification of critical signals for transmission.
4Loss of information
If more data is transmitted to ensure data integrity, then information completeness improves, but energy consumption increases
Solution Approach 1:
The system extracts and transmits only abnormal signals that require attention, rather than transmitting all captured data. This extraction approach maintains data integrity for critical information while significantly reducing the total data volume transmitted, thereby lowering energy consumption associated with wireless transmission operations.
Solution Approach 2:
Instead of transmitting complete data sets (excessive action), the system transmits only the necessary abnormal signals (partial action). This partial transmission approach provides sufficient information for monitoring purposes while reducing energy consumption, as the transmitted data volume is optimized to meet the actual information needs without unnecessary overhead.
Data Source
AI summary
An electronic device, a transmission system, and a transmission method are provided. The electronic device includes a capturing module, a processing module, and a transmission module. The capturing module is configured to receive a first set of signals. The processing module is configured to select a second set of signals from the first set of signals based on a condition. The transmission module is configured to transmit the second set of signals.


