Sensor Parameter Setting Using Production Environment Data
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Solution Overview
Problem
Existing data management systems in industrial settings face challenges in dynamically selecting and configuring measurement sensors based on environmental data, leading to suboptimal measurement parameters and manual or experience-based settings that may not account for all environmental conditions.
Innovation Solution
A data management system that includes an environment data acquisition unit, a sensor selection unit, and a parameter setting unit to acquire environment data, select relevant sensors, and adjust measurement parameters based on distance, type of physical quantity, and correlation with environmental changes, enabling automatic adaptation to production environment conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual or experience-based sensor selection and parameter setting is used, then device complexity is reduced, but measurement precision and adaptability to environmental conditions deteriorate
Solution Approach 1:
The system enables sensors to automatically select themselves and configure their own parameters based on environmental data. The sensor selection unit automatically identifies relevant sensors, and the parameter setting unit automatically adjusts measurement parameters without manual intervention, allowing the system to serve itself rather than requiring operator expertise.
Solution Approach 2:
The system dynamically changes measurement parameters (such as measurement cycles and sensitivity) based on environmental conditions. The parameter setting unit modifies sensor parameters in response to environmental data, enabling the system to adapt to varying production environments while maintaining measurement precision.
2Adaptability or versatility
If automatic sensor selection and parameter setting based on environmental data is implemented, then adaptability to environmental conditions improves, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into unified units: the sensor selection unit handles sensor identification and relevance assessment, while the parameter setting unit manages parameter configuration. This multi-functional approach enables the system to adapt to various environmental conditions through a single integrated mechanism rather than requiring separate systems for each function.
Solution Approach 2:
The system achieves environmental adaptability by dynamically changing measurement parameters based on environmental data. The parameter setting unit adjusts sensor parameters such as measurement cycles and sensitivity in response to environmental conditions, allowing the system to versatilely adapt to different production environments.
3Productivity
If measurement parameters are fixed, then device complexity is reduced, but productivity and measurement efficiency deteriorate when environmental conditions change
Solution Approach 1:
The system transitions from fixed measurement parameters to dynamic parameter adjustment. The parameter setting unit continuously modifies measurement parameters based on real-time environmental data, enabling the system to maintain high measurement efficiency across varying environmental conditions rather than being constrained by predetermined settings.
Solution Approach 2:
The system implements feedback by using environmental data to inform parameter adjustments. The parameter setting unit receives environmental data and uses this feedback to automatically adjust measurement parameters, creating a closed-loop system that continuously optimizes measurement efficiency based on actual environmental conditions.
Data Source
AI summary
Provided is a data management system including an environment data acquisition unit configured to acquire, from an environment sensor, environment data obtained by measuring a production environment where a product is produced from a raw material, a sensor selection unit configured to select a specific sensor from among measurement sensors, each of which is configured to measure a production target serving as a target of the production, according to a relevance with respect to the environment sensor, and a parameter setting unit configured to set a measurement parameter in the specific sensor based on the environment data.