| Pointer pressure gauges are widely used in daily life,industry,scientific experiments and other fields because of their simple structure and strong anti-interference ability.In order to ensure their stable and reliable measurement accuracy,they need to be regularly calibrated.The traditional pressure gauge calibration method requires manual control of pressure rise and fall and recording of test data,which is tedious and highly repetitive,and the calibration data cannot be retrospectively reviewed.Therefore,it is the goal of this project to study the intelligent testing system to efficiently complete the metrological verification of pointer pressure gauges,which is also the urgent need of many metrological testing organizations.The purpose of this project is to propose a multi-station intelligent testing solution for the6~60 MPa high pressure range pointer pressure gauges in metrology and testing institutions,and the main research contents are as follows:(1)High pressure multi-station pointer pressure gauge intelligent inspection system construction.First,the overall scheme and workflow of the inspection system were developed according to the overall requirements of the inspection system.Then,the overall mechanical structure scheme of the testing system was designed modularly and its 3D model was built.Finally,the physical prototype of the testing system was prototyped and its performance was tested by pressure loading test and steady standard pressure test,and the results showed that the physical prototype was able to meet the requirements of pointer pressure gauge calibration.Based on the statistical theory,the error of the testing system was analyzed,and the results showed that all errors of the testing system met the requirements.(2)Study of liquid pressure transfer characteristics of plunger pressure generator.The mathematical modeling of the pressure making system of the plunger pressure generator was completed,and the relationship between the plunger displacement and the output pressure was obtained.By establishing a new interpolated polynomial function for the fluid air content,the AMEsim effective volume elastic modulus model and the equation for the relationship between plunger displacement and output pressure were optimized,and the problem of abrupt change in the derivative at the middle of saturated vapor pressure and air separation pressure was solved.The optimized effective volume elastic modulus model was used to simulate and analyze the effect of air content,temperature and other factors on the system response speed and pressure control accuracy in AMEsim hydraulic software,and the results showed that the system was greatly affected by the polite content.The plunger pressure generator prototype experimental device was built,and the system ramp-up,pressure-holding,pressure-lowering experiments and pressure-limit experiments were carried out.(3)Study of pressure control algorithms for detection systems.Based on the comparative analysis results of conventional PID control,Fuzzy control and gray prediction algorithm,and combined with the characteristics of the detection system,the pressure control algorithm in this paper is determined based on model segmentation Fuzzy-PID algorithm.The implementation process of the algorithm is introduced through the gray prediction algorithm advance prediction and Fuzzy-PID parameter rectification.A joint simulation system model of AMEsim and Simulink is built to simulate and analyze the control effect of the pressure control algorithm.The results show that the model-based segmented Fuzzy-PID algorithm is able to meet the pressure control requirements of the inspection system.(4)Software development for testing system upper computer calibration.Combining C#programming language,three-layer architecture framework,My SQL database,Hikvision industrial camera SDK,Baidu intelligent cloud voice recognition and other technologies to develop the testing system onboard verification software,realizing the visualization of the pressure gauge verification process,one-click control and review and traceability of the testing data and other functions.Compared with the manual testing method,the software improves the testing efficiency while ensuring the accuracy and objectivity of the testing data. |