Research On Environmental Monitoring And Health Diagnosis System For Bomb Storage Device

As a national strategic resource,missiles and other cutting-edge weapons have the characteristics of long-term storage and one-time use.Their storage cycle occupies the vast majority of their life cycle,and must be guaranteed not to deteriorate before they are shipped out.Therefore,the requirements of the storage environment are strict,and effective monitoring of the internal environmental conditions of the storage device has received increasing attention.This work will analyze the main factors affecting the internal health status of the storage device,study its changing process and changing laws,use the neural network algorithm optimized by genetic algorithm to conduct health diagnosis and fault prediction for the bomb storage device.Finally,the assessment of the health of the storage device and the prediction of the remaining life are provided,which provides an effective data basis for the maintenance and maintenance planning of the storage device.Firstly,design a set of environmental monitoring system for storage devices according to the use characteristics of the storage device,which combined with the function of the monitoring system and the requirements of the use environment.Taking into account the characteristics of portable,mobile and intelligent health diagnosis,the whole system is divided into a slaver computer machine system for real-time monitoring and a host computer system for performing health diagnosis,complete overall hardware design and layout,determine the data communication links of each part and write the corresponding system control program.Secondly,optimize the neural network based on genetic algorithm.Analyze the main factors affecting the storage system,and the optimized neural network is used for training and learning to complete the health assessment and intelligent learning algorithm research.Using LabVIEW to compile the host computer system program,realize the data transmission between the sensor and the slaver computer,as well as the slaver computer and the host computer.The program has the functions of real-time reading,curve display,over-standard alarm,and intelligent prediction of internal parameters of the storage device,which can judge the current health of the system.Finally,the functional test of the environmental monitoring and health diagnosis system in the storage device is carried out.According to the characteristics of the software of the system,design a set of test methods to evaluate the reliability of the system health assessment result,and verify the accuracy of the storage device health state maintenance time prediction result.Then,analyze the causes of errors and propose improvements plan.