Digital construction of coal mine big data for different platforms based on life cycle

2017 ◽  
Author(s):  
Liu Xianglan
Keyword(s):  
Big Data ◽  
Life Cycle ◽  
Coal Mine

scholarly journals Research on the new mode of intelligent maintenance and health management of coal mine equipment

2021 ◽  
Author(s):  
Xiangang Cao ◽  
Mengyuan Zhang ◽  
Yong Duan ◽  
Kexin Wu ◽  
Yanchuan Li
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Life Cycle ◽  
Coal Mine ◽  
System Architecture ◽  
Reference Model ◽  
Health Management ◽  
Subsequent Development ◽  
Intelligent Maintenance ◽  
Key Technologies

Abstract Based on the analysis of the current challenges and deficiencies in the maintenance and management of coal mine equipment, an intelligent maintenance and health management system framework for coal mine equipment is designed for the big data characteristics of the life cycle of coal mine equipment. Taking the big data processing and analysis of coal mine equipment as the main line, it proposes and elaborates the key technologies of the intelligent maintenance and health management of coal mine equipment driven by big data, including the unified description and analysis of multi-source heterogeneous big data, and intelligent fault diagnosis of coal mine equipment. Technology, health evaluation and prediction technology, intelligent maintenance decision-making technology, etc. Through the implementation of the above-mentioned system architecture and key technologies, data-driven life-cycle intelligent decision-making is realized, which promotes the continuous optimization and improvement of equipment process management and reduces business costs. The proposed system architecture provides a reference model for subsequent development.

Information Visualization and Policy Modeling

2014 ◽  
pp. 175-215
Author(s):  
Kawa Nazemi ◽  
Martin Steiger ◽  
Dirk Burkhardt ◽  
Jörn Kohlhammer
Keyword(s):  
Big Data ◽  
Life Cycle ◽  
Information Visualization ◽  
Policy Design ◽  
Reference Model ◽  
Main Idea ◽  
Human Interaction ◽  
The Political ◽  
Policy Modeling ◽  
The Right

Policy design requires the investigation of various data in several design steps for making the right decisions, validating, or monitoring the political environment. The increasing amount of data is challenging for the stakeholders in this domain. One promising way to access the “big data” is by abstracted visual patterns and pictures, as proposed by information visualization. This chapter introduces the main idea of information visualization in policy modeling. First abstracted steps of policy design are introduced that enable the identification of information visualization in the entire policy life-cycle. Thereafter, the foundations of information visualization are introduced based on an established reference model. The authors aim to amplify the incorporation of information visualization in the entire policy design process. Therefore, the aspects of data and human interaction are introduced, too. The foundation leads to description of a conceptual design for social data visualization, and the aspect of semantics plays an important role.

Big Data

2020 ◽  
pp. 24-65
Author(s):  
P. Lalitha Surya Kumari
Keyword(s):  
Big Data ◽  
Life Cycle ◽  
Data Collection ◽  
Operating Systems ◽  
Data Security ◽  
Map Reduce ◽  
Security Issues ◽  
Big Data Applications

This chapter gives information about the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by big data applications. Big data is one area where we can store, extract, and process a large amount of data. All these data are very often unstructured. Using big data, security functions are required to work over the heterogeneous composition of diverse hardware, operating systems, and network domains. A clearly defined security boundary like firewalls and demilitarized zones (DMZs), conventional security solutions, are not effective for big data as it expands with the help of public clouds. This chapter discusses the different concepts like characteristics, risks, life cycle, and data collection of big data, map reduce components, issues and challenges in big data, cloud secure alliance, approaches to solve security issues, introduction of cybercrime, YARN, and Hadoop components.

Information Visualization and Policy Modeling

Big Data ◽  
2016 ◽  
pp. 139-180
Author(s):  
Kawa Nazemi ◽  
Martin Steiger ◽  
Dirk Burkhardt ◽  
Jörn Kohlhammer
Keyword(s):  
Big Data ◽  
Life Cycle ◽  
Information Visualization ◽  
Policy Design ◽  
Reference Model ◽  
Main Idea ◽  
Human Interaction ◽  
The Political ◽  
Policy Modeling ◽  
The Right

Policy design requires the investigation of various data in several design steps for making the right decisions, validating, or monitoring the political environment. The increasing amount of data is challenging for the stakeholders in this domain. One promising way to access the “big data” is by abstracted visual patterns and pictures, as proposed by information visualization. This chapter introduces the main idea of information visualization in policy modeling. First abstracted steps of policy design are introduced that enable the identification of information visualization in the entire policy life-cycle. Thereafter, the foundations of information visualization are introduced based on an established reference model. The authors aim to amplify the incorporation of information visualization in the entire policy design process. Therefore, the aspects of data and human interaction are introduced, too. The foundation leads to description of a conceptual design for social data visualization, and the aspect of semantics plays an important role.

Intranet Exploitation of Social Network Knowledge Intelligence

2017 ◽  
pp. 273-298
Author(s):  
Mark Alan Underwood
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Life Cycle ◽  
Online Social Networks ◽  
Intelligent Agents ◽  
Process Mining ◽  
Just In Time ◽  
Domain Specific ◽  
Social Graphs

Intranets are almost as old as the concept of a web site. More than twenty-five years ago the text Business Data Communications closed with a discussion of intranets (Stallings, 1990). Underlying technology improvements in intranets have been incremental; intranets were never seen as killer developments. Yet the popularity of Online Social Networks (OSNs) has led to increased interest in the part OSNs play – or could play – in using intranets to foster knowledge management. This chapter reviews research into how social graphs for an enterprise, team or other collaboration group interacts with the ways intranets have been used to display, collect, curate and disseminate information over the knowledge life cycle. Future roles that OSN-aware intranets could play in emerging technologies, such as process mining, elicitation methods, domain-specific intelligent agents, big data, and just-in-time learning are examined.

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