Advances in Data Mining and Applications in Power Plants

2011 ◽  
Vol 347-353 ◽  
pp. 487-493
Author(s):  
Ang Bao ◽  
Wei Guo Pan ◽  
Wen Huan Wang
Keyword(s):  
Data Mining ◽  
Power Plants ◽  
Field Data ◽  
Thermal Power ◽  
Effective Means ◽  
Monitoring And Evaluation ◽  
Research Progress ◽  
Mining Technology ◽  
Equipment Operation ◽  
Real Time Database

Describes the theory and methods of data mining technology, and the latest research progress home and abroad. In the equipment operation of various thermal power plants, more and more field data is stored in the DCS real-time database, and there is always an abundance of knowledge hidden behind the data. Adopting the date mining technology to process and analyze these data can optimize the operation of power plants and provide effective means for monitoring and evaluation of the equipment.

scholarly journals PONTOON SETTLEMENTS AS A MEANS OF RESTORING THE ECOLOGICAL BALANCE OF RESERVOIRS

2021 ◽  
pp. 142-151
Author(s):  
Nataliia Chernyatevich
Keyword(s):  
Power Plants ◽  
Municipal Wastewater ◽  
Load Capacity ◽  
Thermal Power ◽  
Silver Carp ◽  
Effective Means ◽  
Thermal Pollution ◽  
Chemical Pollution ◽  
Special Equipment ◽  
Mechanical Cleaning

The article considers the influence of pontoon settlements on the ecology of reservoirs of Ukraine. The main types of pollution and methods of reservoir cleaning due to the creation of pontoon settlements are outlined. There are 1157 reservoirs located within Ukraine.  The issue of efficient and rational use of reservoirs in Ukraine is becoming increasingly important.  The establishment of settlements on the water could help solve the environmental problems present in reservoirs. Reservoir pollution can be divided into chemical, bacterial, thermal and radioactive. Chemical pollution is the ingress of various chemicals, waste from various industries into the water: petrochemical, pulp and paper, as well as municipal wastewater, waste from livestock farms. Biological pollution is getting into reservoirs together with sewage of various pathogenic microorganisms, spores of fungi, worms. Thermal pollution occurs due to the discharge of heated water from thermal power plants, nuclear power plants and other energy facilities. Radioactive contamination is associated with an increase in the content of radioactive substances in water. When designing pontoon settlements in the water area of reservoirs, it is necessary to provide mechanical cleaning methods. Mechanical cleaning is the cleaning of the bottom of the reservoir from large objects of various origins, as well as the removal of large accumulations of benthic and floating species of aquatic plants. The basis of the biological method of purification is the saturation of the reservoir with microorganisms (bacteria). Another very effective way is to stock the ponds with herbivorous species. Such fish species as silver carp, carp, grass carp, pike, pike perch are biological reclamation of reservoirs. The basis of the chemical method of purification is the addition of special reagents of varying composition to the reservoir.  The main way to reduce thermal pollution is the gradual abandonment of fossil fuels and the transition to renewable energy using solar energy sources: light, wind and water resources. To ensure all methods of cleaning reservoirs, it is necessary to create specialized floating platforms (pontoons) when designing pontoon settlements.  On them it is possible to place bases for service of technical fleet (special equipment), various technological equipment;  platforms for placement of chemical reagents; fish farming platforms for biological treatment; sorting, temporary storage and processing of garbage, etc. Platforms must be modular, mobile, easy to transport, have mechanical strength and high load capacity. They can also be stationary and mobile, self-propelled and non-self-propelled depending on the functional load and floor-plate of the pontoon settlement. Pontoon settlements that are developed according to all the respective laws, norms and rules can be considered effective means of combating pollution of reservoirs and help restore their environmental resources.

RESEARCH AND APPLICATION OF GIS AND DATA MINING TECHNOLOGY IN MONITORING AND ASSESSMENT OF NATURAL GEOGRAPHY ENVIRONMENT X

2018 ◽  
Vol 48 (4) ◽  
pp. 299-304
Author(s):  
X. L. ZHENG
Keyword(s):  
Data Mining ◽  
Development Process ◽  
Monitoring And Evaluation ◽  
Ecological Environment ◽  
Environment Monitoring ◽  
Gis Technology ◽  
Tree Model ◽  
Mining Technology ◽  
Geographical Environment ◽  
Land Types

At present, with the acceleration of the economic development process, the maintenance of the ecological environment has received extensive attention. In order to simplify the workflow of natural geographical environment monitoring and evaluation, this paper combines GIS technology and data mining technology, and builds a decision tree model with monitoring and evaluation as the core. Dongting Lake is taken as the research object to verify the validity of the model. The research results show that the algorithm designed in this paper can classify the land types of natural geographical environment and improve the accuracy of environmental monitoring and evaluation.

scholarly journals Analysis and Research of Psychological Education Based on Data Mining Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Haiyun Sang
Keyword(s):  
College Students ◽  
Data Mining ◽  
Mental Health Problems ◽  
Rejection Rate ◽  
Research Progress ◽  
Support Vector ◽  
The Internet ◽  
Mining Technology ◽  
State Recognition ◽  
State Data

With the era of the Internet, linking the prevention and treatment of mental health problems in colleges and universities with the Internet will become a general trend. In order to improve the effect of identifying the psychological crisis state of college students, a method of identifying the psychological crisis state of college students based on data mining technology is proposed. First, we analyze the current research progress of college students’ psychological crisis state recognition and point out the defects of the current college students’ psychological crisis state recognition methods; then, we collect college students’ psychological crisis state data and use the support vector machine in data mining technology to analyze the psychological crisis state data. We analyze and model and then establish the recognition model of college students’ psychological crisis state; finally, we carry out the simulation experiment of college students’ psychological crisis state recognition. The experimental results show that the accuracy rate of college students’ psychological crisis state recognition by this method is over 90%, and the rejection rate and misrecognition rate are extremely low. The recognition effect is significantly better than other methods, and it can provide valuable information for college student psychological management personnel.

scholarly journals Improving reliability of power plant equipment due to measurement information redundancy

2019 ◽  
Author(s):  
Kseniia Sapozhnikova ◽  
Iuliia Baksheeva ◽  
Roald Taymanov
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
Measuring System ◽  
Optimal Decision ◽  
Measurement Information ◽  
Equipment Operation ◽  
Intelligent Sensors ◽  
Power Plant Equipment ◽  
Plant Equipment ◽  
Multichannel Measuring

Significant features of using the equipment installed at nuclear, hydraulic and thermal power plants are a multiyear cycle of continuous operation with minimum maintenance works and very high costs necessary to eliminate the consequences of possible crashes. Automatic checking of the state of the most important equipment units can become the optimal decision. In Russia, methods of building intelligent sensors and methods of intellectualization of multichannel measuring systems have been developed. Intellectualization of a measuring system enables to increase the reliability of equipment operation significantly. Examples are given.

The Applications of Real-Time Data Mining Technology in Fault Prediction of Power Plant Generator

2015 ◽  
Vol 740 ◽  
pp. 351-354
Author(s):  
Feng Li ◽  
Hong Bin Wang ◽  
Dao Jun Deng ◽  
Yan Xia Zhang
Keyword(s):  
Data Mining ◽  
Power Plant ◽  
Real Time ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Fault Prediction ◽  
Time Data ◽  
Mining Technology ◽  
Online Security ◽  
Real Time Data

This paper mainly discusses the applications of real-time data mining technology in fault prediction of power plant generator. Massive real-time historical data of thermal power plant turbine generator equipment is stored to realize comprehensive quantitative assessment of thermal power plant turbine generator’s online security status and potential failure Early Warning. It is based on the Real-time data mining analysis and modeling techniques.

A Review on Utilization of Fly- Ash and Pond-Ash as a Partial Replacement of Cement in Concrete Mix Design

2018 ◽  
pp. 413-418
Author(s):  
Harshkumar Patel ◽  
Yogesh Patel
Keyword(s):  
Fly Ash ◽  
Electricity Generation ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Strength Test ◽  
Partial Replacement ◽  
Pond Ash ◽  
Research Activities ◽  
Ash Disposal

Now-a-days energy planners are aiming to increase the use of renewable energy sources and nuclear to meet the electricity generation. But till now coal-based power plants are the major source of electricity generation. Disadvantages of coal-based thermal power plants is disposal problem of fly ash and pond ash. It was earlier considered as a total waste and environmental hazard thus its use was limited, but now its useful properties have been known as raw material for various application in construction field. Fly ash from the thermal plants is available in large quantities in fine and coarse form. Fine fly ash is used in construction industry in some amount and coarse fly ash is subsequently disposed over land in slurry forms. In India around 180 MT fly is produced and only around 45% of that is being utilized in different sectors. Balance fly ash is being disposed over land. It needs one acre of land for ash disposal to produce 1MW electricity from coal. Fly ash and pond ash utilization helps to reduce the consumption of natural resources. The fly ash became available in coal based thermal power station in the year 1930 in USA. For its gainful utilization, scientist started research activities and in the year 1937, R.E. Davis and his associates at university of California published research details on use of fly ash in cement concrete. This research had laid foundation for its specification, testing & usages. This study reports the potential use of pond-ash and fly-ash as cement in concrete mixes. In this present study of concrete produced using fly ash, pond ash and OPC 53 grade will be carried. An attempt will be made to investigate characteristics of OPC concrete with combined fly ash and pond ash mixed concrete for Compressive Strength test, Split Tensile Strength test, Flexural Strength test and Durability tests. This paper deals with the review of literature for fly-ash and pond-ash as partial replacement of cement in concrete.

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