Design of data acquisition part in sensor diagnosis system

A real-time diagnosis system for sensor faults, like the general monitoring system, should have a signal acquisition part, a self-learning part, a signal judgment part, a judgment text prompt part, a display part of normal and abnormal signals, and a possible explanation for the fault phenomenon. Or the function of randomly storing correct or wrong signals and related schematic diagrams of sensors and systems.

The data collection part requires that the signal data of the specified sensor can be automatically collected at a certain time interval for self-learning and monitoring.

Design idea: directly connect with the signal analog-to-digital converter or read the related stored data file. Sensors are grouped according to function. The principle is based on the subsystems and parameters measured or monitored by the sensor. This is one of the important steps of the sensor information fusion inverter test. Then put the data into different arrays separately to facilitate the subsequent calibration and judgment.

The calibration (or self-learning) part requires that the known sensors are normal, and the unit is processing the sensor data for 10 minutes or more under stable working conditions, such as finding the average value (or variance) of each sensor within a specified period ). Design Idea: The insulation ladder finds the average value and dispersion of each sensor and displays it on the screen. The values ​​are put into a common array to prepare for subsequent real-time data judgment.

The upper and lower limits of the standard require that you can enter and view the upper and lower limits of each sensor alarm. Design idea: first store the predetermined limit value in a database file, after the software is running, it can be queried and modified at any time.

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