Research On Atmospheric Environment Corrosion Monitoring Technology Of Metal Based On LabVIEW

Electronic equipment and instruments are very sensitive to atmospheric corrosion,under the influence of complex atmospheric environmental factors,metal parts are very susceptible to corrosion behavior,lightly affect the operating performance of instruments and equipment,or greatly shorten the service life or lead to the direct destruction of the device.Copper metal as printed circuit boards,devices,wires and other basic materials,with its excellent electrical conductivity is widely used in a variety of electronic equipment and instruments,due to yearround exposure to the atmosphere,the corrosion of copper metal is inevitable.The study of copper metal corrosion in the atmospheric environment is of great significance for the corrosion protection of instruments and equipment.In this paper,the corrosion modeling of metallic copper in two atmospheric environments,indoor and outdoor,and the Lab VIEW application of the model are studied,and the following work is mainly accomplished.(1)Based on the corrosion data and environmental data of T2 copper in seven typical outdoor atmospheric test stations in China,through the correlation analysis of corrosion rate of T2 copper and environmental factors,on the basis of ISO9223-2012 dose-response function modeling with the effect of atmospheric wet deposition corrosion,a new quantitative model was constructed and in corrosion prediction and atmospheric corrosion rating evaluation from two perspectives with ISO9223-2012 dose-response function for comparison and analysis.The research results show that the new quantitative model reconstructed and fitted has a significantly higher prediction accuracy than the ISO9223-2012 dose-response function,with a prediction accuracy of 97% or more,and is more accurate and applicable in the evaluation of corrosion levels.And according to the available data to analyze the corrosion kinetics of copper,and get the long-term corrosion power function model of copper under different climate types.(2)Based on the traditional GM(1,N)model,the OGM(1,N)model is established by adding the linear correction term and the gray action quantity,and the variable weight independent variable smoothing generation method is introduced to further improve the OGM(1,N)model,which is combined with the gray correlation analysis method and the particle swarm intelligent optimization algorithm to maximize the performance of the model,and finally the model is applied to the indoor atmospheric copper corrosion prediction example and compared with the traditional Finally,the model is applied to an indoor atmospheric copper corrosion prediction example and compared with the traditional GM(1,1)model,GM(1,N)model and OGM(1,N)model.The results show that the improved OGM(1,N)model based on particle swarm algorithm has the highest accuracy for indoor atmospheric copper corrosion prediction,with simulation accuracy close to 100% and prediction accuracy close to 95%.(3)After completing the construction of the indoor and outdoor atmospheric corrosion model for metallic copper,an atmospheric corrosion prediction and evaluation system for metallic copper was designed and built based on the Lab VIEW platform,and the system functions were tested and verified.The test results show that the outdoor and indoor atmospheric copper corrosion prediction module can better achieve its set functions,and the prediction accuracy and reliability are good,and also further verify the scientific and validity of the built corrosion model.