AI Air Conditioner Sensor Data Calibration Using External IoT Sources
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Solution Overview
Problem
Users face challenges in determining whether temperature and humidity sensors in air conditioners operate normally, leading to inefficient operation of the air conditioning system.
Innovation Solution
An artificial intelligence-based system that uses sensor data from other air conditioners or IoT devices to automatically determine sensor abnormalities, generate estimated sensor data, and adjust the air conditioning function accordingly, while providing an alarm for abnormal sensor readings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data from the air conditioner is used directly for operation, then the system operates simply and quickly, but the reliability of operation deteriorates when sensors malfunction
Solution Approach 1:
The patent introduces an intermediary calibration system that uses environmental data from external sources (weather APIs, other sensors) to generate reference values and detect sensor abnormalities. This mediator layer allows the system to maintain simple sensor operation while adding reliability through external validation without requiring complete system redesign
Solution Approach 2:
The system performs self-diagnosis and self-calibration by automatically comparing sensor readings with environmental data and detecting abnormalities. The air conditioner monitors its own sensor health and adjusts operation based on detected issues without requiring manual intervention or complex external calibration equipment
2Reliability
If manual sensor checking is implemented, then sensor reliability can be verified, but the ease of operation deteriorates due to user burden
Solution Approach 1:
The system automatically performs sensor verification by comparing readings with environmental data from weather APIs and other sources. The air conditioner independently checks its own sensor health, generates abnormality notifications, and adjusts operation without requiring users to manually test or verify sensor functionality
Solution Approach 2:
The system continuously monitors sensor data and provides feedback through abnormality notifications when sensors are detected to be malfunctioning. This automated feedback loop replaces manual checking by informing users only when actual problems exist, maintaining reliability while preserving ease of operation
3Measurement precision
If external sensor data and environment information are collected for calibration, then measurement precision improves, but the device complexity increases
Solution Approach 1:
The system uses a multi-functional calibration approach where environmental data from various sources (weather APIs, other sensors, public databases) serves multiple purposes: validating temperature sensors, validating humidity sensors, detecting sensor abnormalities, and adjusting operation parameters. This universal data utilization improves measurement precision across multiple sensors without proportionally increasing system complexity
Solution Approach 2:
The patent introduces an intermediary calibration module that handles the complexity of collecting and processing external environmental data. This mediator layer standardizes data from various sources and translates it into actionable calibration information, improving sensor accuracy while containing complexity within a dedicated calibration subsystem rather than distributing it throughout the entire system
4Reliability
If sensor abnormalities are not detected, then the system operates without interruption, but the reliability of air conditioning function deteriorates
Solution Approach 1:
The system performs continuous sensor validation by constantly comparing sensor readings with environmental data from weather APIs and other sources. This ongoing calibration process ensures sensor abnormalities are detected immediately rather than during periodic checks, maintaining air conditioning reliability without significant time loss through real-time monitoring
Solution Approach 2:
The system provides immediate feedback through abnormality notifications when sensor issues are detected, allowing for rapid response and operation adjustment. This continuous feedback loop ensures reliability by detecting problems as they occur rather than allowing them to persist, minimizing the time impact through instant detection and notification
Data Source
AI summary
Provided is an artificial intelligence air conditioner for calibrating sensor data. The artificial intelligence air conditioner includes a sensor unit configured to acquire sensor data; a communication unit configured to receive at least one of external sensor data or environment information from at least one of an external air conditioner or an internet of things (IoT) device; and a processor. The processor is configured to generate estimated sensor data corresponding to the sensor unit using a sensor data estimation model, the received external sensor data and the received environment information, determine whether the acquired sensor data is abnormal using the generated estimated sensor data, perform an air conditioning function using the acquired sensor data if the acquired sensor data is determined as normal, and perform the air conditioning function using the generated estimated sensor data if the acquired sensor data is determined as abnormal.