Wireless Event Noise Filtering for Packet Drop Prevention
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Solution Overview
Problem
Wireless event devices in facilities experience interference from other devices operating in the same frequency band, leading to noise that can cause packet drops and communication link failures, resulting in unreliable systems and costly technician visits.
Innovation Solution
Implementing a noise filter system in each event device that identifies the nature of detected noise, allowing for a dynamically varying noise filter to be applied, enhancing immunity to noise and reducing technician visits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless event devices operate in the same frequency band, then device versatility and installation ease are improved, but noise interference increases causing packet drops and link failures
Solution Approach 1:
The patent applies different noise filtering strategies to different noise conditions. The device performs short scans at high sampling rates to detect narrowband noise, and long scans at lower sampling rates for broadband noise. Different filtering thresholds and scan durations are applied based on the detected noise type, allowing localized optimization for each noise scenario while maintaining overall system versatility.
Solution Approach 2:
The patent dynamically changes scanning parameters based on detected noise levels. When narrowband noise is detected, the device increases sampling rate for short scans. When broadband noise is detected, it performs longer scans with different thresholds. This parameter adaptation allows the device to maintain reliable operation across diverse wireless environments with varying interference patterns.
2Reliability
If noise filtering is implemented in each event device, then reliability is improved, but device complexity increases
Solution Approach 1:
The noise filtering system is implemented autonomously within each event device. Each device independently performs noise scans, detects interference types, and applies appropriate filtering without requiring external control or configuration. This self-service approach distributes the filtering functionality across all devices, improving overall system reliability without requiring complex centralized control infrastructure.
Solution Approach 2:
The patent implements noise filtering selectively based on detected conditions rather than continuously. Short scans are performed at high sampling rates only when narrowband noise is suspected, while long scans are used for broadband noise detection. This partial action approach provides sufficient noise protection to maintain reliability while avoiding the excessive complexity of continuous high-rate filtering across all conditions.
3Measurement precision
If short scans are performed at high sampling duration, then noise detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic scanning with varying durations based on noise conditions. Short scans are performed periodically at high sampling rates when narrowband noise detection is needed, while long scans are used periodically for broadband noise. This periodic approach with adaptive durations provides accurate noise detection when necessary while consuming less energy during normal operation compared to continuous high-rate scanning.
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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.