Design And Development Of Intelligent University Laboratory Management System

Under the general trend of China's economic development,higher vocational education has been vigorously developed.With the development of colleges and universities,both the teaching force and the teaching equipment are increasing,which will undoubtedly increase the difficulty of university management.The laboratory is an extremely important part of the management of colleges and universities.How to manage it better and more scientifically The laboratory has become an important research topic of common concern in academia and business.The laboratory management information system has developed rapidly in foreign countries in recent years,and many excellent laboratory management systems have emerged.In recent years,China has been studying advanced foreign laboratory management technology,but the domestic progress is relatively slow.Due to funding problems,the domestic advanced laboratory management information system is difficult to cover most universities,but it is only a famous school supported by some countries.Got a good popularity.Although many colleges and universities have laboratory information management systems,the technology is still in an early age.There are many inconveniences in laboratory management,and many problems occur.For example,the operation is complicated and the data sharing is low.Intelligent and so on.In order to improve the performance of the university's laboratory management information system,this project researched and developed an intelligent university laboratory management system based on the unified authorization of Enterprise WeChat.The implementation of the system is quite different from the traditional information management system.It combines the enterprise WeChat with the information system,which greatly reduces the difficulty of university management and avoids many problems in system management.Secondly,the system also applies the current popular machine learning related project technology to the equipment maintenance management.Through the machine learning algorithm,the laboratory is more predictive and early warning of the cumbersome equipment maintenance status,which effectively ensures the monitoring of the laboratory equipment status.Avoiding the economic and manpower losses caused by a large number of equipment failures,the use of this technology makes the management of laboratory management information systems more convenient and smarter.Finally,the project also carried out software deployment and testing on the developed intelligent laboratory management information system.The results show that the machine state-based device state prediction method proposed by this research can assist human decision-making to a certain extent,and based on The laboratory management information system researched and developed by this method can also fully meet the management needs of the university.