Research On Key Technologies Of Intelligent Information Processing Based On Information Chain

With the popularization of information technology in enterprise and the increase of the following aspects of information system: development tools, development mode, software dimension, guiding ideology and so on, demands for information become more and more various, personal and intelligent, intelligence information processing has become an important development trend of information system. The traditional methods depend only on the introduction of artificial intelligence. There are some faults in intelligence information processing from the information chain viewpoint of data, information and knowledge. Firstly, in the aspect of data automatic acquisition, although several intelligent instruments have been brought forward, less research was made on how to acquire data automatically, correctly and with no redundancy under the condition of multiple signal sources. The Second is the simple pattern in information processing and the lack study of organization and presentation of multi-structure and multi-source information. Finally, knowledge discovery with multi-field and multi-expert has been less discussed.On the basis of consulting a great deal of domestic and foreign literatures, the paper has made some research on intelligent data acquisition, intelligence information processing and knowledge discovery from the viewpoint of information chain, which aimed at the key technologies of large information system project and scientific research task according to the technical route of system modeling, formal description, algorithm research, experiment validation and contrast. The major research results are the following:(1) An intelligent data acquisition algorithm based on time slot and circular queue is brought forward in allusion to the representative multi-source data acquisition such as identity recognition and auto-weight under unattended condition. By analyzing the system flow and data transportation protocols, the key parameters for the algorithm such as the length of time block, the size of queue and so on are discussed, which make use of the timer interaction principle in software tool and the character of data store and access in circular queue. Great success is achieved when the algorithm is used in the garbage measurement project for Wuhan city administrative bureau.(2) A 3C-model of component is brought through by combining the white box and black box method. A tree-structure super entity based on the model is designed and its constructional and correlative algorithm is also given, which acts as the information organization method of multiple level entities. An intelligent information presentation method based on editable e-book component is presented by combining QQ menu and 1/K switcher components-connection method, which solved soundly the problem how structured, half-structured and non-structured data can display in the same information system platform. It is widely used in the embankment information system of Yangtze River and nation-wide mountain torrents control programming information system.(3) BP neural network is robust and of strongly learning ability. By modifying the parameters such as learning rate of BP neural network and so on, the concept of BP super node with the network frame can be reconfigurable is presented, which aimed at knowledge discovery problem with several field experts. It is used in knowledge organization and learning of each subsystem. A cooperation fuzzy expert system model based on BP network is constructed, with a framework of expert system by combining fuzzy logic and BP super node. The model is successfully used in the diathesis evaluating of youth students.(4) The assembly line balancing(ALB)problem is a representational NP-hard problem. Genetic algorithm has strongly search ability. A model based on improved GA is designed to solve the knowledge discovery problem of ALB, in which the concept of penalty factor, scaling fitness and stochastic universal sampling are introduced. The coding rule of ALB and several operators of GA are improved in the model. The key technology is described for the model. The running example and experiment contrast data are also given.