Prediction And Prewarning Research On Underground Space Monitoring System Based On Granular Computing

The transportation of a city is the basic foundation of economy development. The establishment of transportation infrastructure comes along with a high speed. Underground space is a general designation of city tunnels, cross-river tunnels and subways. There must be diversity characters and complex characters with it. As one of the most important part of underground space, the prediction and prewarning of city tunnels was highly focused on by many researchers. The prediction and prewarning of city tunnels in advance was mainly focused on the extent of transportation smooth, the objects are transportation incidents, congestion in tunnels, fire tragedies and so on. The technical measures are using cameras to connect transportation situation with supervise control systems. Under current society background and technical conditions, the underground prediction and prewarning monitoring systems are not only a transportation monitoring system, but also a combination system having abilities of safety examining and evaluating, information collection and communication, datum transferring and processing. People are accustomed to classify underground information into several blocks by their characters and performance, to help people easily and effectively understand the information. Each such block is acknowledged as a granular. Therefore, people can do research and application on underground space by such different granular.This paper was doing some research on attributes reduction in different information granularity, to optimize the method of pretreatment datum. For granular characters such as solving uncertain, incomplete, pare-true and large datum problems, it has been widely used in recent years. On the aspect of granularity theory, some researching work has been done on decision making method. After that, it proposes a kind of description of granular using rough bool algebraic theory. Finally, it uses engineering datum to validate the correctness of methods above by both attributes reduction algorithm and decision making algorithm.(1) With such more works on basic theory of granular, this paper researched and analyzed many problems existed in this field, such as information granulation, the construction and computation of granular, the conception and characters of granular layer. After that work, this paper made comparison with normal models of granular computing such as rough sets, fuzzy sets and quotient space. And this paper analyzed each model's characters and combination research direction. Finally, we described the whole granular space of information system.(2) First, we described rough sets respectively from the aspect of aggregation and aspect of arithmetic operators, then proposed the attributes reduction algorithms respectively from the aspect of algebra expression and information expression. This paper constructed the granular matrix by binary granular, proposed the operation of granular matrix "AND". Based on this method, this paper described the method of knowledge granulation by the theory of information conservation. Then, this paper proposed the attributes reduction algorithm GrM-AR, a new way to make attributes reduction. It was evaluated executive and effective by theoretical analysis.(3) Based on granular matrix above, we made symbol granular matrix, and proposed symbol granular matrix "AND" operation, to get symbol subsection granular matrix. Then algorithm for rules extraction SGrM-DR was evaluated executive and effective by theoretical analysis.(4) This paper was doing description of granular using rough bool algebraic theory and proposed the operation details and proves procedures details. Based on above theoretical foundations, this paper proposed the definition of granular metre. It established much more basis on granular models based on rough bool description methods.(5) At last, a kind of prediction and prewarning method of underground was illustrated from the aspect of datum processing and rules extracting. It was executive by theoretical analysis and application analysis. By some concretely experiments of engineering datum, it was proved completely. It proposed a new idea of prediction and prewarning of underground space monitoring.