Knowledge Visualization Of Safety Management In Coal Mines Based On Data Mining

The integration of "informatization and industrialization" is an important way and inevitable choice for China to take a new road to industrialization.The coal industry,as the basic energy industry related to the lifeline of China’s economic and social development,must also be guided by the new road of industrialization and the scientific outlook on development.To push the development of the coal enterprises to safe,efficient,scientific,environmental protection and intelligent direction is inevitable requirements of conforming to the transformation and upgrading of coal industry in the context of the times of new economy and new technology.To achieve safe and efficient production,reduce the cost of security risks,and enhance the competitiveness of coal enterprises is also an important way for coal industry to adapt to the current downturn state of the market environment and walk out of the woods.With the rapid development of information technology,the new generation of information technology,which is represented by Internet of things,cloud computing,big data and mobile Internet,tending to be more and more widely used in coal mine safety management.The information construction of coal mine has experienced digital mine and perceived mine,now it is moving towards the wisdom mine.The fact of the technological content of the coal industry is getting higher and higher and the production and operation of the coal enterprise is becoming more and more complicated put forward new requirements for the coal mine safety management.In face of this case,the traditional means of safety management seem helpless.At the same time,the ability of coal mines to perceive safety information has been greatly enhanced,and accumulated large amount safety data for coal mine safety management,including unsafe behavior of human,unsafe conditions of things and management deficiencies.In the face of large coal mine safety data,safety managers cannot absorb and discover the abnormalities in safety management in a short time.The contradiction between the makeable data acquisition capability of coal enterprises and the serious shortage of information processing capacity is becoming more and more prominent day by day.At present,the safety data collected by the coal enterprises is still confined to the intuitive application on the surface,in other words,it has not been fully effective used.The traditional way of coal enterprises management and the management situation which relies on the management experience has been difficult to adapt to mining safety management practice in the context of big data.Knowledge visualization theory uses data mining,text mining and other methods to integrate coal mine safety data,and explores the rules and patterns implied behind the massive safety data,on this basis,making it transparent,explicit and visualized.It is an effective way to solve the problem of information overload,lack of information processing capacity and low efficiency of information recognition in coal mine safety management process.As the core content of coal mine safety visualization management,the visualization of coal mine safety management knowledge is very important to enhance the ability of making coal mine safety management decision,insight ability and process optimization ability.However,the current theoretical research on the knowledge management of coal mine safety management is very scarce.Therefore,this paper aims at the new problems in coal mine safety management,and puts forward the research topic of knowledge management of coal mine safety management: Firstly,the paper constructs the research framework of coal mine safety management knowledge visualization,and studies the connotation of coal mine safety management knowledge visualization,the demand of knowledge visualization,the system composition of knowledge visualization and the realization process of knowledge visualization.Secondly,through find what are the hidden problems in the process of coal mine safety management,we make sure what kind of tacit knowledge exists in the process of coal mine safety management and what is the relationship between these tacit knowledge and improving safety management ability.Finally,in view of the hidden knowledge mining and explicit problem of coal mine safety management,concrete research is carried out by means of data mining,text mining and knowledge visualizationand,provides theoretical guidance for the practice and application of knowledge visualization in coal mine safety management.The paper is divided into eight chapters according to the idea of "putting forward the problem,and then carrying out concrete research and realize it".The details are as follows:Chapter 1: Introduction.Firstly,it analyzes the background of knowledge visualization of coal mine safety management,clarifies the serious shortage of information resources processing capacity and the low efficiency of information cognition are bottlenecks that restrict the further improvement of coal mine safety management level.Secondly,it analyzes the three stages of coal mine information construction and the changes brought by different stages to safety management.On this basis,from the perspective of coal mine safety management knowledge demand,information processing and processing ability,safety information cognition efficiency.The paper analyzes the problems existing in the safety management of China’s coal enterprises and the requirements of knowledge visualization.This paper puts forward the visualization of coal mine safety management knowledge and clarifies the purpose and significance of the research,analyzes the content and the methods used systematically,and proposes the research technology roadmap.Chapter 2: Literature review.This chapter mainly from the three aspects of the visual management,safety management theory,digs for coal mine safety data,the safety management knowledge visualization of the relevant literature research.The visualization management mainly focuses on the visual management theory,knowledge visualization,tacit knowledge explicit research literature research;safety management theory combs the evolution of safety management theory and development trend and coal mine safety management visualization technology application;Mining of coal mine safety data mainly on the numerical and text-based safety data analysis and mining research.Visualization theory as a theoretical guide to research,coal mine safety management theory as a research source of practice,data mining,text mining as a research method and means tocarry out research on the relevant literature.Chapter 3: Theoretical framework for knowledge visualization of coal mine safety management.Firstly,it discusses the connotation of the knowledge visualization of coal mine safety management,analyzes the knowledge visualization demand,and points out that the knowledge visualization of coal mine safety management can help to promote the change of traditional safety management mode and can effectively change relies heavily on coal mine safety management experience of the status quo,to enhance scientific administration of coal mine safety management level.Secondly,from the system theory,discusses the coal mine safety management knowledge visualization system connotation,characteristics and structure.Then,the process of knowledge visualization of coal mine safety management is divided into four stages,and the realization model of knowledge visualization of coal mine safety management is constructed.Finally,the author puts forward three key problems in the process of security management,such as tacit knowledge,tacit knowledge mining and explicit of tacit knowledge,knowledge visualization difference and method selection.Chapter 4: Research on tacit knowledge of coal mine safety management.In view of the tacit knowledge problems in the coal mine safety management,the connotation,characteristics and the relationship between the tacit knowledge and the explicit knowledge are discussed.Secondly,the paper analyzes the present situation of the tacit knowledge application of coal mine safety management,and constructs the force field model of tacit knowledge development and utilization of coal mine safety management,including pressure,thrust and resistance.Then,based on the classification and attributes of coal mine safety big data,the tacit knowledge of coal mine safety management is classified from four dimensions,has been clear about the coal mine safety management exist in the process of tacit knowledge,for knowledge visualization system for coal mine safety management research laid the foundation.Finally,the hierarchical feedback loop model of coal mine safety management capability is constructed based on the tacit knowledge of safety management.Chapter 5: Semantic network and topic mining of hidden danger in coal mine.According to the mining of tacit knowledge and explicit problem of coal mine safety management,this chapter first analyzed the coal mine safety data sources and their attributes,with the help of semantic network,LDA theme mining model to realize the relationship between the safety information and distribution rule of visual display,safe hidden trouble theme of mining.In the coal mine safety hidden danger themes mining to determine the best number of topics,and the two common parameter estimation method were analyzed.Finally,the results to display.Chapter 6: Coal Mine Safety Text Classification and Hazard Source Association Rules Mining.In order to realize the orderly integration and effective use of the increasing data of coal mine safety data,the paper first summarizes the text classification,and then uses KNN classification algorithm and SVM classification algorithm to classify the data of coal mine safety hazard data,Verify the differences of two classification algorithm classification effect.Finally,based on the correct classification of the data of coal mine safety hazard,the classification of hazard related rules is carried out.Chapter 7: Study on the Temporal and Spatial Law of Coal Mine Safety.In order to solve the problem of time and space distribution of coal mine safety hazard,the time and spatial distribution of coal mine safety hazard are studied by corresponding analysis method and social network analysis method,which provides a targeted countermeasure for safety hazard investigation and hidden danger management.Finally,the influence of knowledge visualization on safety management decision is analyzed.Chapter 8: Conclusion and prospect.With the foundation of the study results above,the research conclusions and main innovative points in this paper are summarized and the further research in the future is prospected.Main innovation points of this article include: Establishment of the theoretical framework and knowledge visualization model for coal mine safety management knowledge visualization;Estab-lishment of the force field model of the development and utilization of tacit knowledge in coal mine safety management,and doing classification research of the tacit knowledge of coal mine safety management from four dimensions,which clarifies the hidden knowledge existing in the process of coal mine safety management,and constructing the hierarchical feedback loop model of coal mine safety management capability based on the hidden knowledge of safety management.Analysis and mining of the regularities,rules and patterns that are valuable in the massive safety data from different aspects utilizing the data mining,text mining and knowledge visualization techniques and methods.The construction of coal mine safety management knowledge visualization method system and method selection model,by means of the theoretical analysis and experimental comparison on the differences of different knowledge visualization methods and algorithms.In conclusion,knowledge visualization of coal mine safety management,as the core content of coal mine safety visualization management,is an important research content of coal mine safety visualization management theory system.It’s crucial to enhance the coal enterprise’s safety management decision-making,insight discovery and process optimization ability,and it’s of great significance to improve the level of safety management.