Pointer type pressure gauge intelligent verification system and method

Abstract

The invention relates to a pointer type pressure gauge intelligent verification system and method. The intelligent verification system comprises an image acquisition unit, a knocking mechanism, a moving mechanism, a control unit, an automatic pressure regulating unit and a data processing and analyzing unit. The intelligent verification method comprises the steps of enabling a verifier to log in averification system, and initializing the system; manually loading the meter; turning on an industrial camera and a light source; boosting fixed-point detection; performing pressure reduction fixed-point detection; carrying out uninterrupted boost and buck detection; and outputting verification result. According to the invention, machine vision and image processing technologies are adopted, automatic reading of ID numbers, precision, units and full-scale values of the dial plate of the pressure gauge is realized, effective management, query, export and the like of a pressure gauge template, verification authority and a verification result are realized at the same time, and a basis is provided for subsequent tracking and management of products. Automatic control over a fixed-point pressurevalue is completed through the proportional control valve and the PLC, automation of the calibration process is achieved, and a rapid, accurate and reliable calibration method is provided for pointertype instrument calibration.

Description

technical field [0001] The invention belongs to the field of measurement verification and relates to a batch intelligent verification system and method for pointer pressure gauges. Background technique [0002] Pressure gauges are widely used in scientific research and production departments and industrial and mining enterprises. At present, whether it is the quality inspection of the pressure gauge manufacturer before the pressure gauge leaves the factory, or the periodic calibration of the pressure gauge by the measurement and verification department, manual observation and reading are used. method. This discrimination method is affected by human subjective factors such as human observation angle, observation distance, etc., which is unstable and has low reliability. Moreover, the later data processing workload is heavy, and the verification efficiency is low. Contents of the invention [0003] Aiming at the defects existing in the prior art, the object of the present ...

AI Technical Summary

Problems solved by technology

This discriminant method is affected by human subjective factors such as human observation angle and observation distance, and is unstable and unreliable.

Moreover, the later data processing workload is heavy, and the verification efficiency is low.

Images