Research On Emergency Information Intelligent Monitoring System Based On Multi-Agent

Randomness, suddenness and harmfulness are the features of emergency. In the context of Internet, emergency network information is reflected through the approaches of news, comment and posting, as well as reply, with obvious characteristics such as spreading rapidly, having diverse information sources and being interactive, which brings complexes and challenges to the monitoring and processing of the emergency information. Thus, this dissertation studies on the detection, process, tracking and analysis of the emergency information monitoring, and realizes these technologies based on agent through the extended JADE platform. In this regard, the emergency information monitoring system turns to be automatic, distributed and intelligent. The main contributions and innovations of this dissertation are as follows:(1) Based on the analysis of the emergency information requirements, the key technologies, such as data collection, URL redundancy removing, text content abstraction, are researched under the distributed environment. Focusing double-high pages algorithm (FDHP) is proposed, the way which the crawler can collect double-high topic web pages considering the topic relevance and quality of the web page, as well as the URL confidence in the web page. Sectional RP algorithm (SRP) is also proposed to improve the original RP algorithm efficiency. SRP works well to retrieval and remove the huge amount of redundant URLs under distributed environment. Marking, cleaning, statistics, and abstraction method (MCSA) is proposed to mark the elements in the web page, clear the tags, statistics the text groups and abstract the text content. Using MCSA can get the right result and high F1 value from the web pages of different languages. The algorithm is also adapted to carry out the multi-language web page clearing and abstraction job in distributed case.(2) On the basis of double-high web pages, by analyzing the Query by Committee (QBC) classification model, the Extension of QBC approach (EQBC) is presented, which can make the unlabelled data spot play a more important role and get sound categorized results by less samples but with faster convergence speed. The experiment of comparing the attributes of the QBC method and the EQBC method through different classifier shows that method of EQBC gets a better categorical result with better quality and higher relevant emergency topic web page.(3) On the basis of topic tracking, the emergency information is analyzed and the seven-tuple definition of emergency scenario is proposed, which effectively describes and records the features of emergency, such as data, interaction with environment, participant and behavior list, etc. It indicates the four functions of scenario analysis frame, including scenario getting, expressing, reflecting and using. The model of rule and scenario, ontology and data scheme mapping (RSODMM) is proposed. The logical relations and conditional relations are defined, and the composition and process procedure of scenario analysis frame are also elaborated. In the end, the effectiveness of the scenario analysis frame is verified by case and experiment.(4) It proposes and sets up intelligent emergency information monitoring prototype system based on multi-agent. Emergency information collecting and processing, topic monitoring and tracking, and scenario system are applied and realized. In the distributed system of information collecting based on Agent, distributed crawler based on agent is designed and realized to meet the different requirements of users on emergency information by crawling strategy based on key words and double-high web pages. Bilingual information monitoring based on key words dictionary and time-based sequence topic tracking system are realized. The implementation of the integration of agent and scenario is proposed when the scenario is frozen. The emergency scenario system is realized by the approach of agent role analysis.(5) Through the extended development of JADE platform, relevant emergency intelligence system is integrated, which operates and deploys on a larger platform. System structure is categorized by five levels, with telecommunication transmission level, system container level and agent service level composing a supporting environment to multi-agent system application, agent application level integrating intelligent application, user interface lever transferring the request of user to system understandable order, and agent application level doing the execution. The layered JADE supporting platform is favorable to the extension of application layer and supports multi-agent distributed operation and management.