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Wang M.,Shandong Jianzhu University | Wang X.,China Nuclear Power Simulation Technology Co. | Zhang G.,Shandong Jianzhu University | Li C.,Shandong Jianzhu University
Proceedings of the World Congress on Intelligent Control and Automation (WCICA) | Year: 2015

Occupancies in building have effects on construction equipment operation and building energy consumption, which rely in two aspects: first, there are occupancies or not in a building zone determines whether energy consuming equipments (such as ventilation, air-conditioning equipment, lighting, and so on) turn on or not; secondly, human energy-saving awareness and behavior affect building energy efficiency. To achieve more comfortable environment and lower energy consumption, a building automation system will inevitably need personnel spatio-temporal information in a green building. However, there is lack of effective personnel information analysis tools as yet. A novel Spiking Neural Networks (SNN) multi sensor information fusion model has been proposed in this paper. SNN, the third generation of neural network models, is more closer to the essence of the organism information process than the former two generation neural network models. By mapping the relationships between sensors and corresponding neurons, a SNN information fusion model was established. The simulation results verified the effectiveness and feasibility of the proposed approach. © 2014 IEEE. Source


Bai Y.,North China Electrical Power University | Qin Y.,North China Electrical Power University | Feng F.,Pacific Water Treatment Engineering Co. | Pan J.,China Nuclear Power Simulation Technology Co.
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2011

In accordance with the components characters of municipal solid waste (MSW) in Beijing, the refuse module was established. The drying process was introduced including heat convection and radiation transfer process in MSW incinerator. On the basis of water mass change, the water-line concept was put forward. Water-line was a boundary of dynamic drying area which was usually considered as a static drying area. The water-line step response of water content, primary air, drying grate speed and primary combustion chamber temperature are also presented. The fluctuation of water-line shows that the drying area on the grate is in continuously moving process. Water content, drying grate speed and primary combustion chamber temperature have greate influence on water-line, and the temperature and pressure of primary air have limited influence. The calculated results agree well with the actual incineration process. © 2011 Chin. Soc. for Elec. Eng. Source


Wu X.,China Nuclear Power Simulation Technology Co. | Wei H.,China Nuclear Power Simulation Technology Co. | Su X.,China Nuclear Power Simulation Technology Co. | Wu F.,China Nuclear Power Simulation Technology Co.
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2016

NPP Main Steam Line Break (MSLB) plus Steam Generator Tube Rupture (SGTR) and Safety Injection (SI) failure is severe accident (SA) process with complex phenomena in reactor vessel. The severe accident process serial was analyzed using the latest version of Modular Accident Analysis Program 5 (MAAP5). The whole trends of the simulation result agreed well with the anticipated process serial, which could provide training material to the full scope simulator and the related evidence to make detailed severe accident management guidelines (SAMG). © 2016, The Editorial Board of Journal of System Simulation. All right reserved. Source


Ma J.,China Nuclear Power Simulation Technology Co. | Shi S.,China Nuclear Power Simulation Technology Co. | Qin Z.,China Nuclear Power Simulation Technology Co. | Wu F.,China Nuclear Power Simulation Technology Co. | And 2 more authors.
Qinghua Daxue Xuebao/Journal of Tsinghua University | Year: 2013

A multi-component, two-phase, non-thermal equilibrium, multi-node containment model was developed for a CPR1000 full scope training simulator. The simulation results were compared with those of the MEFRA-1 engineering analysis program. The containment model was also fully analyzed by experts during the simulator acceptance test. The results show that the established model can correctly reflect the dynamic characteristics of the containment in accidents, including the loss of coolant accident (LOCA), steam pipe leakage, and so on. Source

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