Air Anomaly Alarming Using Dynamic Thresholds and Outdoor Context
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Solution Overview
Problem
Existing air quality monitoring systems rely on fixed threshold values for alarming, which can lead to false or missed alarms due to variations in indoor air composition caused by normal activities or external factors, rather than hazardous conditions.
Innovation Solution
An air anomaly alarming method and device that acquires and compares indoor air composition data with a pre-generated air change rule, considering both indoor and outdoor factors, and sends alerts when differences exceed preset threshold values, allowing for more accurate and timely detection of air anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single fixed threshold value is used for alarm monitoring, then the alarm system is simple to operate, but it causes false alarms or missed alarms due to variations in indoor air composition
Solution Approach 1:
The patent transforms the static fixed threshold into a dynamic adaptive threshold that automatically adjusts based on outdoor air quality and historical indoor air composition patterns. The system learns normal indoor air variation ranges and adapts the alarm threshold accordingly, resolving the contradiction between operational simplicity and alarm accuracy by making the threshold intelligent and context-aware rather than manually configurable
Solution Approach 2:
The system changes the alarm threshold parameter from a fixed value to a dynamically calculated value based on multiple factors including outdoor air quality measurements and historical indoor air composition data. This parameter transformation allows the system to maintain simplicity of use while improving reliability through data-driven threshold adjustment
2Device complexity
If indoor air composition is monitored without considering outdoor environment, then the monitoring process is simple, but the alarm accuracy decreases due to outdoor influences on indoor air
Solution Approach 1:
The patent introduces outdoor air quality measurements as an intermediary factor that mediates the relationship between indoor air composition and alarm triggering. By measuring outdoor air quality and using it to contextualize indoor readings, the system can distinguish between air quality changes caused by outdoor conditions versus actual indoor anomalies, improving detection accuracy without significantly complicating the monitoring process
Solution Approach 2:
The system adds the outdoor environment dimension to the indoor air monitoring by incorporating outdoor air quality measurements. This dimensional expansion allows the system to compare indoor versus outdoor air composition and identify true anomalies by filtering out changes attributable to outdoor conditions, thereby improving measurement precision
3Device complexity
If air composition is compared only with fixed thresholds, then the comparison logic is simple, but false alarms occur during normal indoor activities
Solution Approach 1:
The patent implements preliminary action by continuously learning and storing historical indoor air composition patterns during normal operations. This pre-acquired baseline data represents normal air variation ranges during typical indoor activities. When comparing current readings, the system references this pre-established knowledge to distinguish normal variations from true anomalies, reducing false alarms while keeping comparison logic manageable through automated pattern recognition
Data Source
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AI summary
An air anomaly alarming method includes that: air composition information of an indoor environment is acquired; the air composition information of the indoor environment is compared with corresponding air composition information corresponding to a pre-acquired air change rule; and an alarming message is sent to preset target equipment when a difference bewteen the ari alarming message is sent to preset target equipment when a difference bewteen the air composition information of the indoor environment and the corresponding air composition information in the air change rule is more than a preset first air threshold value. A corresponding device may implement the method.