Event Device Noise Filtering with Adaptive Channel Thresholds
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless communication in event device systems is often disrupted by electronic noise from other devices operating in the same frequency band, leading to user complaints, technician visits, and communication link failures.
Innovation Solution
Implementing a noise filtering mechanism in event devices that includes a transceiver and antenna to perform short and long scans to identify noise levels and types, dynamically adjusting noise filters based on detected noise characteristics to enhance immunity in noisy environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wireless communication is used in event device systems, then installation flexibility and ease of operation are improved, but communication reliability deteriorates due to electronic noise from other devices operating in the same frequency band
Solution Approach 1:
The noise filter threshold is dynamically adjusted based on detected noise characteristics. The system performs scans to identify noise levels and types, then adapts the filter threshold accordingly, transitioning from a static to a dynamic filtering approach that responds to changing environmental conditions.
Solution Approach 2:
The system implements a feedback mechanism where the event device continuously monitors the wireless environment for noise, determines noise characteristics, and adjusts the noise filter threshold based on this information. This closed-loop feedback enables the system to maintain reliable communication despite varying noise conditions.
2Device complexity
If a fixed noise filter threshold is used, then device complexity is reduced, but noise filtering effectiveness deteriorates in varying noise environments
Solution Approach 1:
The noise filter threshold transitions from a fixed value to a dynamic parameter that adjusts based on detected noise characteristics. The event device performs scans to identify noise levels and types, then adapts the filter threshold accordingly, enabling effective filtering in varying noise environments without requiring overly complex manual configuration.
3Reliability
If noise scanning and dynamic filter adjustment are implemented, then noise filtering effectiveness is improved, but device complexity and energy consumption increase
Solution Approach 1:
The system performs noise scans periodically rather than continuously, balancing the need for accurate noise detection with device complexity and energy consumption constraints. This periodic scanning approach allows the event device to update its noise filter threshold based on current environmental conditions without requiring constant monitoring.
4Reliability
If continuous noise monitoring is performed, then noise filtering effectiveness is improved, but energy consumption increases
Solution Approach 1:
The event device performs noise scans at periodic intervals rather than continuously monitoring the wireless environment. This periodic approach maintains adequate noise filtering effectiveness while significantly reducing energy consumption compared to continuous monitoring, making the solution practical for battery-powered event devices.
Data Source
AI summary
Devices, systems, and methods for filtering noise in an event device system are described herein. In some examples, one or more embodiments include an event device comprising a transceiver having an antenna, a memory and a processor to execute instructions stored in the memory to cause the transceiver to perform a long scan for noise via the antenna at a predetermined sampling duration, determine whether a noise level of the noise exceeds a threshold noise value, determine whether the noise is detected in at least one of a first channel and a second channel of the event device, determine a noise filter threshold for at least the first channel and the second channel based on whether the noise is detected in the first channel and the second channel, and apply the noise filter threshold to filter future noise.