Study On Key Technique Of Coalmine Emergency Management In Cloud Computing

With the development of informatization construction of coal mine emergencymanagement, the emergency information system will toward intelligent, service-orienteddirection. The paper adopts―Service on demand‖computational thinking of cloud computingand service-oriented architecture to study emergency technique in cloud computing andprovide emergency information resource service with type of cloud service for coalmine users.Five aspects of new mode, cloud job scheduling, cloud storage copy layout, description ofcloud service and massive data processing are studied in coalmine emergency management.The main research contents are as follows.Study on coalmine emergency new mode in cloud computing. Conbined with emergencymanagement theory,―scenario-respond‖paradigm and contingency theory, the coalmineaccidents dynamic emergency management mode is constructed. Based on―Service ondemand‖computational thinking of cloud computing, a new mode of coal mine emergencymanagement is proposed with―Coalmine Emergency Cloud (CECloud) based on SOA‖aswell as operating mechanism of―scenario-respond-contingency‖mode. With informationservices theory, the concept of coalmine emergency information resources cloud and cloudservice are put forward.Study on dynamic and feedback job scheduling algorithm of coalmine emergency cloud.Aiming at defectiveness in the feedback mechanism of current Hadoop scheduling algorithmsin a multi-user and heterogeneous environment, a dynamic job scheduling algorithmCECloud-MMS Scheduler with feedback mechanism is proposed. In this algorithm, a kind ofQueues Theory model and design of single queue and multiple resource pool service windowsare adopted. All jobs are submitted to a single queue which supports priority, and then the jobwith the highest priority is scheduled to the free resource pool window to run by the job distributing and controlling module. Through its own heartbeat mechanism of Hadoop cluster,the job-related running data, such as initializing time and running time etc., are passed to theparametric statistics module to get the actual values of core parameters mean arrival rate andservice rate, which are then passed to the feedback mechanism module. The theoretical valueof mean staying time and queue-length can be calculated through this job scheduling modeland be compared with the actual value. If the difference is larger than the threshold value, thecore parameters can be suitably adjusted to make their convergence to the threshold value,which can schedule the jobs with larger mean staying time and queue-length to the resourcepool service window with slots. The simulation experiments demonstrate that this schedulingalgorithm is advantageous in scheduling efficiency and load balancing compared with thoseclassic ones.Study on copy layout technique of lowest-cost in coalmine emergency cloud storage.Method of coalmine emergency data storage and application system in cloud computing areproposed. From the respective of data structure, copy layout strategy and single-node accesscost, the copy layout strategy is studied as well as low-cost copy layout model. With anexample calculation, TOPSIS analysis method is carried on. The copies are distributed on thetwo lowest-cost nodes, which make a reasonable trade-off on node storage load, networkbandwidth, response rate, visiting heat and hardware configuration.Study on semantic description on domain knowledge and cloud service in coalmineemergency information resource. It puts forward the domain ontology construction method ofcoalmine emergency information resource cloud, and the domain ontology based on SUMOupper ontology is thus constructed, which can realize the interactive knowledge with sharingand reusing. The conceptual model of cloud services is established with Web service portfoliodescription framework OWL-S, which defines three kinds of core ontology and fourcorresponding ontology. It standardizes ontology composition structure of coalmineemergency information resource cloud service and works out model to make semantic clarity.The upper concept of cloud service domain is proposed and using IOPE model of OWL-S todescribe the emergency cloud service process. In order to make the semantic query possible,the cloud service process ontology and service level ontology are constructed.Study on storaging and processing method of coalmine emergency management massivedata in cloud computing as well as example verifications. The source of massive data andlimination of traditional data storaging and processing are analized. The realization method ofmassive data storaging and analyzing are designed. It mainly expounds the abnormality modelof coalmine production environment parameters in Huangling Mining Group and the realization method in CECloud. And mine gas data were analyzed by abnormality modelwithin a certain period to provide a scientific basis for decision-making behavior management.Finally, it’s verified that the CECloud based on Hadoop has better processing performancethan traditional coalmine emergency information systems with the experimental test.Aiming at the problems of storage, processing and semantic description of moderncoalmine massive data, a new mode of coalmine emergency management in cloud computingis proposed. Study on applications of three key technologies cloud scheduling, cloud storageand semantic Web are performed, which is benefit for improving service and openness ofcoalmine emergency management architecture, and promoting the development andapplication of resources. It can provide new mode, technology and method in cloudcomputing for informationization construction of coalmine emergency management.