Sensor Memory for Calibration Tracking
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Solution Overview
Problem
Current systems lack a comprehensive method to individually identify, monitor, and maintain the performance and maintenance history of electrochemical sensors like pH electrodes and dissolved oxygen sensors, which are crucial for industrial processes but often fail to provide real-time assessment of sensor fitness and maintenance records.
Innovation Solution
A system comprising a measuring probe with a memory device and electrical input/output port, connected to a personal computer and a transmitter, utilizing database and operating software to calibrate, monitor, and store data, including a unique identifier and recent calibration data, enabling continuous tracking of sensor performance and maintenance history.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional sensor monitoring systems are used, then basic measurement function is maintained, but comprehensive performance tracking and maintenance history recording is lacking
Solution Approach 1:
A memory device is introduced as an intermediary component between the sensor and external systems. This memory device stores calibration data, performance metrics, and maintenance history locally on the sensor itself, enabling comprehensive information retention without requiring continuous external system intervention or complex centralized databases.
2Measurement precision
If individual sensor tracking is implemented, then performance assessment accuracy is improved, but system complexity increases
Solution Approach 1:
The sensor device is equipped with self-identifying capabilities through a unique identifier stored in its memory device. The sensor autonomously tracks its own calibration history, performance metrics, and maintenance records, eliminating the need for external systems to manually assign and manage individual sensor profiles, thus reducing overall system complexity while maintaining precise tracking.
3Productivity
If real-time sensor condition monitoring is implemented, then process interruption prevention is improved, but data storage requirements increase
Solution Approach 1:
The data storage function is segmented and distributed across multiple sensors rather than centralized in one location. Each sensor maintains its own calibration data, performance metrics, and maintenance history in its individual memory device. This segmentation reduces the data burden on any single system component and enables parallel processing of multiple sensor readings, improving productivity while managing storage requirements efficiently.
Data Source
AI summary
A system and method allow a sensor device that is used in a process stream to be efficiently calibrated and monitored as to its operating condition. The sensor device is a measuring probe with a sensor portion, a memory device and an electrical input/output port, arranged so the memory device is in communication with both the sensor portion and the input/output port. The sensor device may be connected through an electrical connector to either a first external source, such as a personal computer having an input/output port, remote from the process stream, or a second external source, such as a transmitter, proximate to the process stream. Operating software is accessible to at least the first external source for monitoring and calibrating. Database software is accessible to each of the external sources, for storing data on every measuring probe used in the system.