Based On The Case-based Reasoning For The Design And Development Of Soft Rock Roadway Support Parameter Selection System

This paper analyses soft rock roadway supporting principle, control technology, the deformation and failure mechanism, influencing the stability of soft rock roadway primary factors,and summarizes the results of previous studies on the artificial intelligence case-based reasoning (CBR) applied to the soft rock roadway for the first time, intelligent matching support of soft rock roadway, and realize the system by using VB6.0and Access database technology, the technology not only overcomes the theory of complex, bottleneck problem of knowledge acquisition, the knowledge expression is not clear enough of the soft rock roadway system to achieve fast and accurate to obtain the effective support plan, the case-based reasoning technology of this thesis is introduced into the soft rock roadway system plan, on the basis of existing information, summarizes the factors affecting the stability of surrounding rock of roadway in soft rock, soft rock roadway plan contains information content was determined using case retrieval method, euclidean distance formula method and modified based framework based on the case representation, the idea and discussion and case adaptation, case studies, case management, supporting the case in soft rock roadway system Based on the analysis of system requirements, design the work flow of the system and structure, focusing on design, system case database organization and implementation, including the acquisition process by using the external interface with Matlab numerical software with the cloud model is constructed to determine the weight method to achieve the two development in the weight factors, finally Guqiao north(11-2) track down in engineering practice, in the soft rock tunnel support, the observation results show that the system has the characteristics of fast, accurate, and help technical personnel to make a soft rock roadway supporting decision.