Design And Implementation Of Automobile Diagnostic Remote Collaborative Conference System

With the development of automotive electronics, the internal structure of vehicles becomes more and more complex, and the difficulty of the automobile fault diagnosis increases greatly. At the same time, domestic auto companies continue to expand the scale, and resources are not distributed evenly between departments.Diagnosis is often difficult to live with adequate senior technical personnel, somehow it hindered the development of automotive fault diagnostic industry. The project "Automobile remote diagnostic platform" deeply researches on the dilemma of automotive fault diagnostic industry. In order to coordinate the various units in the cooperative enterprise, and to integrate manpower and resources, the project introduces the "Collaborative" concept into the industry. The introduction of the "Collaborative" concept will eliminate the "island" phenomenon in automotive fault diagnostic industry, and ultimately provide sustainable development.Automobile diagnostic remote collaborative conference system is the contribution which the project makes to introduce the concept of "Collaborative" into the automotive fault diagnostic industry. With sophisticated video conferencing technology, Automobile diagnostic remote collaborative conference system provides a fresh new model for the automotive fault diagnostic industry, makes the diagnosis expert have the ability to remotely participate in the fault diagnosis scene, alleviates the uneven distribution of the insufficient high-level technical personnel resources.With the classic video diagnostic record, Automobile diagnostic remote collaborative conference system establishes an efficient way to share and use the knowledge of diagnosis experts. During the fault diagnostic procedure, the system records the diagnostic process in the background, and then builds up records center to form a valuable diagnostic knowledge database. By way of online video records, the system offers a convenient method to popular diagnostic experience among the technical staff. The video records model solves the dilemma of uneven distribution on manpower and resources in the automotive fault diagnostic industry from the long-term perspective. Through efficient management subsystem, Automobile diagnostic remote collaborative conference system integrates information of the various units which participate in the process of the automotive fault diagnosis, then offers a powerful tool for the scheduling of resources and manpower. Automobile diagnostic remote collaborative conference system provides a general collaborative diagnostic model, then integarates the various decentralized units for the automotive fault diagnostic industry, and makes a great example of the "1+1>2" principle.With the development of automotive electronics,the internal structure of vehicles becomes more and more complex, the demands of collaboration in automotive fault diagnostic industry will expand quickly. As one of the most important tools of automotive fault diagnostic collaboration,remote diagnostic system will be widely applied.Automobile diagnostic remote collaborative conference system can also be popularized with the further development and promotion of the "Collaborative" concept.This paper interprets the concept of "Collaborative", and then applies the concept in the automotive fault diagnostic process, and briefly describes the architecture of Automobile video remote diagnostic system. The paper deeply analizes the Microsoft's core processing principle of input/output devices and the usage of IO Completion Port in high-performance concurrent server applications. The paper researches the basic video compression principles and the implementation aspects of H.264 standard, then discusses on the proposed improvement in integer transform and quantization process of the H.264 standard. In the last part of this paper, it shows out some key ideas and details of the implementation of Automobile diagnostic remote collaborative conference system, and makes a few pertinent suggestions for the further improvement of the project "Automobile remote diagnostic platform".