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Research On The Construction Of Intelligence Livelihood Network System Bassed On Data Mining Technology

Posted on:2019-01-19Degree:DoctorType:Dissertation
Country:ChinaCandidate:C X XiaFull Text:PDF
GTID:1366330551950397Subject:Statistics
Abstract/Summary:PDF Full Text Request
As a new concept of urban development,the smart city has been recognized by the government and the business community.The concept of intelligence and people's livelihood,the academic community also does not have a unified consensus,still flourishing.People's understanding and practice of intelligence and people's livelihood are still at the beginning and exploration stage.This article will focus on the "what is a smart city and the people's livelihood" of this real issue,at the same time,for the definition of smart cities to further build a smart livelihood network system for research.This article starts with the appearance of smart cities and the status quo of construction and development,as well as the necessity and importance of the construction of smart cities in China and puts forward the important question of what is a smart city,and analyzes and analyzes the significance of this issue.It then introduces the core of the thesis research and the construction of the Intelligence Livelihood Network System.The structure of this paper is as follows: Chapter 1,Introduction.Firstly,it elaborates the research background,research problems and research significance of this paper,analyzes the current domestic and foreign research status;secondly,it analyzes the research methods,research contents and technical routes of the study,then draws conclusions of this article,and finally elaborates this article.Innovation and research limitations and deficiencies.Chapter 2,related theoretical basis.Based on the literature review and related basic research,the relevant concepts of smart cities,the data objects analyzed in the paper,and the data mining methods used in the analysis of this paper are reviewed.These are the required theories in the follow-up study of this paper.Provide theoretical analysis basis.The third chapter analyzes the construction of the Intelligence People's Livelihood Network System.First of all,a detailed analysis was made of the concept origins of smart cities,the development history of cities,the relationship between smart cities and related concepts,and typical viewpoints of smart cities.The concept of smart people's livelihood was defined,and a study was made on how to build a smart people's livelihood network.Construct.Then,it analyzes the urgent needs of the people's livelihood in today's society,the challenges they face,and the ideas that this article addresses.The fourth chapter gives concrete solutions,that is,analysis and determination of various elements of the intelligence of people's livelihood.The fifth chapter further excavates the relationship between various elements and gives a model of the Intelligence People's Livelihood Network System.At the same time,taking Beijing as an example to examine the effectiveness of the models and methodsproposed in this paper,and combining the construction and development status of smart cities in Beijing,the elements,structures,and models of the Beijing smart city system were specifically analyzed,and the theoretical study of this article was summarized.Management inspiration.Finally,it summarizes and analyzes the research conclusions,innovation points and research prospects of this paper.This paper builds on this core issue of the intelligence and people's livelihood system and combines the relevant concepts of smart cities to explore the concept connotation of each element of a smart city,study the hierarchical structure and related structure of each element,and based on statistical model methods including hierarchical models,The concept of the Intelligence People's Livelihoods network system model was put forward.The elements of the intelligence and people's livelihood system and their structural layers were analyzed.The data mining methods were used to effectively discuss the relationships between the internal factors,and this paper combined the theoretical analysis of the intelligence and people's livelihood system in smart cities.An empirical case study of smart city systems including smart travel and sustainable green development in Beijing was conducted.On the basis of inheriting the results of previous studies,this article has carried out theoretical innovations in the following four aspects:Firstly,the concept of smart people's livelihood is proposed,and the elements and hierarchical structure of the Intelligence People's Livelihood Network System are researched and analyzed exploratoryly based on hierarchical models and probability map models,and a series of basic viewpoints and theories about the Intelligence and People's Livelihood System have been formed.In exploring the hierarchical structure of variables,the relationship between variables is first explored using an undirected graph model,followed by a directed graph model to explore the mutual causal relationships between variables,and the solution methods for the parameters in different situations are given.Secondly,using data mining methods and urban real-time data including geographic data,meteorological data,spatio-temporal data,educational data,etc.,combined with theoretical analysis model methods to construct a model of a smart livelihood network system based on a hierarchical structure,using spectral clustering methods to give The comprehensive indicators at each level were combined,and the bottom-up relationship of the hierarchical structure in the system model was discussed in detail in conjunction with the theoretical model estimation results,and the formation and operation processes and internal mechanisms of the smart people's livelihood system were better revealed.It integrates medical science,education,environment,transportation,and other cross-disciplines with statistical methods toform a unified whole.Thirdly,empirical results with practical significance are given.In order to further tap the effective information and knowledge of each element,suggestions are given for the intelligence development of Beijing Municipality to guide decision-making.Using various data mining methods to explore the various components of smart transportation and smart environment,new conclusions and opinions have been obtained.Including Beijing's green sustainable development,low-carbon travel modes,air quality index distribution,etc.are given detailed discussion and analysis.This analysis result greatly enriches the results of relevant policies in the development of BeiJing and has good practice.significance.Fourth,the related theories of the urban people's livelihood system have been further developed.A detailed and complete process has been given for the source of the people's livelihood problem and the solution to be solved.Gradually improve the concept of smart people's livelihood,and innovative use of a variety of models and a variety of data analysis methods to achieve the visualization,integration,standardization,and intelligence of the intelligence of people's livelihood.And based on the various factors obtained from the strategic system,economic system,humanities system and other three tomographic results to understand and study the systemic composition of the city.This article focuses on the construction of relevant researches on the intelligence and people's livelihood system and adopts four research methods:Firstly,literature research and theoretical deduction methods.This article systematically discusses the theoretical connotation of smart cities,extensively combs and analyzes literature and data on domestic and foreign smart cities research,and comprehensively summarizes and summarizes the concept of smart cities in related studies at home and abroad.This paper lays the foundation for the analysis of the network construction of the intelligence of people's livelihood.Secondly,statistical analysis of data and social network analysis.The network system is constructed using a hierarchical linear model and compared with the linear model.Second,the internal relationship of the network structure is explored using the probabilistic diagram model,which is divided into the causal relationship of the directed graph model and the correlation of the undirected graph model.Thirdly,big data analysis technology methods.The use of big data analysis method to tap the relationship between the various elements in the intelligence of the people's livelihood system based on actual data,build a harmonious and unified network system.Fourth,the case study method.This article focuses on a single case descriptivecase study method,after the construction of the Intelligence People's Livelihoods network system model,conducts a case study on the construction of smart people's livelihood in Beijing,and analyzes the rationality of the relevant theories and models proposed in this paper in the smart city system of Beijing,Applicability and effectiveness,and provide appropriate countermeasures and suggestions for the status quo,existing problems,opportunities and challenges faced by the intelligence and people's livelihood in Beijing.Through a large number of literature reviews and a series of theoretical derivation and empirical analysis,the contributions of this paper are mainly reflected in the following four aspects:Firstly,the concept of smart people's livelihood was proposed,and the elements and structure of the Intelligence People's Livelihood Network System were explored and analyzed exploratively,and some basic viewpoints and theories about the smart city system were formed.Secondly,using data mining methods and urban real-time data including geographic data,meteorological data,spatio-temporal data,medical data,education data,etc.,using the existing theoretical analysis to build a smart livelihood network system model,and detailed analysis of the system model The structural relationship in China analyzes the internal mechanism of the formation,operation,and development of smart city systems and organically combines different interdisciplinary disciplines to form an organic unified whole.Thirdly,the data mining method is improved so that it can be more effectively used in city data.Fourth,developed related theories of urban systems,improved the concept of smart people's livelihood,and innovatively used the various elements of smart people's livelihood to understand and study the system composition of cities from five aspects: strategic systems,social systems,economic systems,and spatial systems.
Keywords/Search Tags:Data mining, Intelligent people's livelihood, Network system Structure
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