Unconventional Emergency Management Hierarchical Multivariate Information Visualization And Fusion

The correlation and dependence are enhanced constantly among various socialfunction systems. All kinds of unexpected events are more likely to turn intounconventional emergencies with large scale and serious consequences. Unconventionalemergency management research has become a pivotal frontier and multidisciplinaryfield.One of major research goals in the field is how to obtain some valuable informationrapidly and accurately from data, information and knowledge included in unconventionalemergencies, and acquire multi-dimensional multi-variate (mdmv) information visuali-zation (InfoVis) expression through data processing and information fusion to support theintelligent decision-making process in emergency response.Complex system science, emergency management and information visualization weremade as the theoretical basis. The dissertation integrated multi-disciplinary theories andadopted the methods of system science, management science, information science,mathematics, deductive induction and empirical analysis. The research studied some keyissues like information system, information flow, data characteristics, etc in unconven-tional emergency management, and built unconventional emergency management visualmdmv information system, and proposed some models and methods about visual mdmvinformation fusion. It has important theoretical and practical significance.First of all, according to the emergency management system structure model of China,this article systematically analyzed the overall framework, the emergency pre-planssystem and the system structure of China’s emergency management, as well as the core ofAmerican emergency management system (the frame structure of NIMS and NRP, theconstitution and department structure of JFO). On this basis, it came to the conclusion thatthe emergency management system in essence is a layered, hierarchical, multi-systemcoupling system with a coordination mechanism. And then the paper analyzed theinformation flow in emergency management and the application of data managementtechnology in emergency management data flow, and the emergency management dadacharacteristics such as mass and multi-sources, heterogeneous formats, time-varying, time-sensitive, difficulty in sharing, and low credibility. Again the scope of this researchlies in the text data, and the comparison between the multidimensional data andmultivariate data was made, and the dimensionality reduction and information fusion wasproposed as a key link in the process of multiple text data processing. In addition, basedon the framework of a web-based emergency management data system, the mdmv datahierarchical graph model and the layered hierarchical visualization fusion supportingemergency decision-making model were developed. The emergency management mdmvinformation system model was also designed.Secondly, according to the design principles of mdmv InfoVis system, the basicfunctions of the system were analyzed such as information collection and processing,information storage, multiple graphs, information fusion, information analysis andutilization, and information dissemination. The study built a logic structure of the system,analyzed its four levels and four corresponding support platforms, along with two supportstructures-the auxiliary leader decision-making system and the system safety andmaintenance platform. And then, the unconventional emergency management visualmdmv information system was presented. The corresponding relationship was analyzedbetween the subsystems in the different system levels and four phases (prevention,preparation, response and recovery) in emergency management.Thirdly, the dissertation researched an emergency management visual mdmvinformation fusion method based on radar map. Unconventional emergency managementsystem as a complex system is layered on the management level. It contains bothqualitative and quantitative data, and presents a multidimensional and parameter couplingcharacteristic. A multi-level, hierarchical and parameter-coupling information fusionmodel was proposed. There is a need for input data preprocessing in order to make themodel general. Quantitative data standardization method was proposed. It contains lineartransformation method and normalized method. Qualitative information pretreatmentmethod was analyzed. Some conversion methods between qualitative information andquantitative information were developed such as simple language concept generationmethod, linear classification method, nonlinear insert division method and dual contrastinsertion method. According to the principle of feature selection and feature extraction, a fusion model of feature selection and feature extraction was established. Based on theprinciple of radar chart, this study analyzed the high-dimensional data segmentationfeature fusion and layered hierarchical dimension reduction process. In addition, somedata analysis methods based on triangle area and fan-shaped area of a radar chartrespectively were proposed. Finally, an empirical analysis was made by applying thesemethods.Finally, a study on visual mdmv information fusion method of emergencymanagement based on formal concept analysis (FCA) was developed. According to thelayered and hierarchical characteristic of mdmv data in emergency management, thereasarch analyzed the feasibility of mdmv data visualization based on FCA. Thedissertation proposed the attribute partial order structure diagram by applying the ranksexchange principle of formal context to optimize formal context, on the basis of theprinciple and method of formal concept analysis, and in accordance with the generationalgorithm of layered hierarchical concept lattice. The method can optimize the formalcontext, draw graphics with significant hierarchy structure, and realize attribute clusteringand hierarchical mdmv information visualization. Two cases illustrated the method.