Remote Air Quality Sensor Nodes With Centralized Calibration
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Solution Overview
Problem
Conventional air quality monitoring systems are expensive and require complex calibration procedures, leading to potential inaccuracies due to outdated calibration data and inability to correct historic sensor data.
Innovation Solution
A distributed sensor system with spatially distributed base units and a central server that transmits raw sensor data for centralized backend calibration, allowing for updated calibration data to be applied to both current and historic data, ensuring accuracy and integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional air quality monitors are used with local calibration, then device complexity is reduced, but measurement precision deteriorates due to outdated calibration data and inability to correct historic sensor data
Solution Approach 1:
The calibration functionality is extracted from individual sensor nodes and relocated to a centralized server. The sensor nodes only perform measurement and data transmission, while the server handles calibration data storage, processing, and historical data correction, thereby improving measurement precision without increasing device complexity at the sensor level
Solution Approach 2:
A centralized server acts as an intermediary between sensor nodes and calibration data. The server receives raw sensor data, applies calibration algorithms using stored calibration data, and returns corrected calibrated sensor data, enabling high-precision measurements while keeping sensor nodes simple
2Measurement precision
If centralized backend calibration is implemented, then measurement precision is improved through updated calibration data, but loss of information increases due to raw data transmission requirements
Solution Approach 1:
The system transmits copies of raw sensor data to the centralized server for calibration processing. This allows the server to work with original unprocessed data to generate accurate calibrated results while the sensor nodes maintain their simple structure, achieving high measurement precision without requiring complex local calibration systems
3Adaptability or versatility
If calibration data is stored centrally, then adaptability is improved through cross-calibration of multiple sensors, but device complexity increases due to database and network requirements
Solution Approach 1:
Multiple sensor calibration functions are merged into a single centralized server that handles calibration for all sensor nodes in the network. The server maintains a unified calibration data database and performs cross-calibration operations, enabling high adaptability and versatility while consolidating complexity into one location rather than distributing it across multiple devices
Data Source
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AI summary
A distributed sensor system includes a set of spatially distributed base units and a central server both in communication with a data network. Each base unit includes a controller and one or more sensor modules where each sensor module includes a sensor configured to measure an air quality parameter. Each base unit transmits raw sensor data associated with each of the sensor modules over the data network and the central server receives the raw sensor data from the base units and stores the raw sensor data in a database.