Virtual Model Sensor Validation for Climate Control Accuracy
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Solution Overview
Problem
Existing climate control systems face inefficiencies due to the cumbersome process of individually checking the accuracy of numerous sensors deployed within large premises, with even a single faulty sensor leading to suboptimal operation and increased costs.
Innovation Solution
A method and system utilizing a computing device to receive output signals from sensors, determine climate parameters, generate a virtual model based on historical data, and compare actual and virtual parameters to assess sensor accuracy, thereby identifying faulty sensors and improving overall system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual checking of each sensor is performed, then measurement precision is improved, but loss of time increases and productivity decreases
Solution Approach 1:
The system segments the sensor evaluation process by creating individual virtual models for each sensor type (temperature, humidity, CO2, etc.) and evaluating them separately through comparative analysis, allowing parallel processing and reducing overall evaluation time while maintaining precision
Solution Approach 2:
The system creates virtual models (copies) of sensors that simulate expected behavior based on historical data and environmental conditions. These virtual models are compared against actual sensor readings to detect anomalies, eliminating the need for manual physical checking while maintaining measurement precision
2Measurement precision
If more sensors are deployed in large premises, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system implements a universal virtual modeling framework that can handle multiple sensor types (temperature, humidity, CO2, particulate matter) through a single standardized approach. The computing device manages all sensors centrally, applying the same virtual model comparison methodology across different sensor types, thereby reducing management complexity despite increased sensor quantity
Solution Approach 2:
The virtual models act as intermediaries between the physical sensors and the climate control unit. Instead of directly managing numerous physical sensors, the system manages virtual representations that encapsulate expected behavior patterns, simplifying the complexity of monitoring many sensors while maintaining precision
3Reliability
If manual sensor verification is performed, then reliability improves, but productivity decreases
Solution Approach 1:
The system implements continuous automated feedback by comparing actual sensor readings against virtual model predictions in real-time. When deviations exceed thresholds, the system automatically identifies faulty sensors and triggers alerts, maintaining reliability without manual intervention while preserving climate control productivity
Solution Approach 2:
The sensor evaluation system is self-service in that it automatically monitors its own sensors using virtual models, detects anomalies, and generates maintenance alerts without human intervention. This automated self-monitoring maintains reliability while freeing up productivity for climate control operations
Data Source
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AI summary
A system (100) and method for evaluating accuracy of operation of sensors (102) of a climate control unit (120) in a premises (150) are disclosed. The method includes receiving, from a plurality of sensors (102), output signals indicative of a climate within the premises (150). The method further includes determining one or more climate parameters within the premises (150) based on the received output signals. The method further includes receiving one or more historical climate parameters. The method further includes generating a virtual model configured to generate one or more virtual climate parameters. The method further includes determining, based on comparison of the climate parameters and the virtual climate parameters, a range of variation for the climate parameters. The method further includes determining an accuracy of operation of the plurality of sensors (102) based on comparison of variation between the climate parameters and the virtual climate parameters with the determined range of variation for the climate parameters.