Intelligent sensor self-correcting method

Abstract

The invention discloses an intelligent sensor self-correcting method and relates to decoupling self-correcting of multi-message coupling of intelligent sensors in the field of industrial inspection. The intelligent sensor self-correcting method includes steps of carrying out experiment calibration on the intelligent sensors by a uniform experimental design method, calculating correlation coefficient between independent variables and dependent variables according to experiment calibration data; modeling the intelligent sensors according to relevancy of the independent variables and the dependent variables, utilizing the partial least absolute regression method to obtain intelligent sensor polynomial fitting curves if linear relation between the independent variables and the dependent variables is tight, and utilizing the nonlinear partial least absolution regression method to obtain intelligent sensor polynomial fitting curves if linear relation between the independent variables and the dependent variables is weak; storing curve parameters into spreadsheets of the intelligent sensors by means of the obtained fitting curves and decoupling and autocorrecting sensor detecting information by the curve parameters in the spreadsheets when the intelligent sensors work. The intelligent sensor is capable of realizing high-speed decoupling and self-correcting of multi-dimensional sensor information in the field of industrial detection.

Description

technical field [0001] The invention relates to the decoupling self-calibration of intelligent sensor multi-information coupling in the field of industrial detection, which is used to realize accurate detection of sensors. Background technique [0002] With the development of Internet of Things technology, intelligent sensing technology has become one of the current research hotspots. In the application of intelligent sensors, the sensors are often affected by environmental factors. For example, the detection accuracy of most gas sensors will be affected by temperature and humidity. Impact. At this time, for the smart sensor, its output y 1 The measured physical quantity x acting on the input terminal of the sensor 1 and other environmental factors x 2 ,...,x P Commonly determined, that is, there is multi-sensing information coupling in smart sensors. [0003] At present, the decoupling correction methods for multi-sensor information mainly include methods based on arti...

AI Technical Summary

Problems solved by technology

In order to solve the problems of sensor compatibility and poor interchangeability, the IEEE organization proposed the IEEE 1451 standard for smart sensors.

Images