Study of Internet-based Open Remote Diagnostic System

摘要

With the wide application of information technologi es , Internet-based remote diagnosis (IRD) of plant will surely become the main se rvice mode of corporations in the future. Therefore, it has received a great dea l recognition from academia and the industry. The IRD technology, which is based upon database, computer, and network technologies is the focus of correlative r esearch all over the world. Although some scientific institutions have developed primary IRD systems, their functions are quite narrow with many shortcomings. I n short, the standard of remote diagnosis has not been created, in particula r the network manufacture and diagnostic resources cannot be shared extensiv ely, so the systemic open character has not been developed enough to create the efficiency and the scope of the existing remote diagnostic systems. Aimed at improving the limitations mentioned above, in this paper we try to develop Web -CORBA open remote diagnosis architecture over the Internet, which is based on the existing troubleshooting software. We have designed and realized the general -purpose data interface of the software and some Java applets functional module s. Thereby the software’s open character and application field get widened. Our current research is focused on building the remote intelligent diagnosis center on the basis of the Web-CORBA architecture. Some basic functions have been app lied. Further, we put forward the project of combining the enterprise interior d iagnostic system to the remote diagnosis center, and make a study of building th e remote diagnosis object network architecture. The open remote diagnostic syste m based on Internet offers many advantages. Also, with the CORBA distributed obj ect technology, the distributed diagnostic resources can be connected as a coope rative diagnosis object system, in order that all the resources can be shared to the full extent, and the advanced diagnostic technique can be applied as soon a s possible. This is the inevitable trend of the diagnostic technology.