This paper introduces the system structure and work principle of the upgraded real time information system in Wangting Power Plant, and then expounds the realization way and function features of this system on B/S co...This paper introduces the system structure and work principle of the upgraded real time information system in Wangting Power Plant, and then expounds the realization way and function features of this system on B/S computing mode. The results of field application show the new system has good capability, reliability and expandability.展开更多
The paper presents a computer code system 'SRDAAR- QNPP' for the real-time dose as-sessment of an accident release for Qinshan Nuclear Power Plant. It includes three parts:thereal-time data acquisition system,...The paper presents a computer code system 'SRDAAR- QNPP' for the real-time dose as-sessment of an accident release for Qinshan Nuclear Power Plant. It includes three parts:thereal-time data acquisition system, assessment computer. and the assessment operating code system. InSRDAAR-QNPP, the wind field of the surface and the lower levels are determined hourly by using amass consistent three-dimension diasnosis model with the topographic following coordinate system.A Lagrangin Puff model under changing meteorological condition is adopted for atmosphericdispersion, the correction for dry and wet depositions. physical decay and partial plume penetrationof the top inversion and the deviation of plume axis caused by complex terrain have been taken in-to account. The calculation domain areas include three square grid areas with the sideline 10 km, 40krn and 160 km and a grid interval 0.5 km, 2.0 km, 8.0 km respectively. Three exposure pathwaysare taken into account:the external exposure from immersion cloud and passing puff, the internalexposure from inhalation and the external exposure from contaminated ground. This system is ableto provide the results of concentration and dose distributions within 10 minutes after the data havebeen inputed.展开更多
Nowadays, the scale of data normally stored in a database collected by Data Acquisition System (DAS) or Distributed Control System (DCS) in a power plant is becoming larger and larger. However there are abundant valua...Nowadays, the scale of data normally stored in a database collected by Data Acquisition System (DAS) or Distributed Control System (DCS) in a power plant is becoming larger and larger. However there are abundant valuable knowledge hidden behind them. It will be beyond people's capacity to analyze and understand these data stored in such a scale database. Fortunately data mining techniques are arising at the historic moment. In this paper, we explain the basic concept and general knowledge of data mining; analyze the characteristics and research method of data mining; give some typical applications of data mining system based on power plant real time database on intranet.展开更多
This paper presents a novel method to solve old problem of water level control system of pressurized water reactor (PWR) steam generator (SG) of nuclear power plant (NPP) .The level control system of SG plays an impo...This paper presents a novel method to solve old problem of water level control system of pressurized water reactor (PWR) steam generator (SG) of nuclear power plant (NPP) .The level control system of SG plays an important role which effects the reliablity,safty,cost of SG and its mathematical models have been solved.A model of the conventional controller is presented and the existing problems are discussed. A novel rule based realtime control technique is designed with a computerized water level control (CWLC) system for SG of PWR NPP.The performance of this is evaluated for full power reactor operating conditions by applying different transient conditions of SG′s data of Qinshan Nuclear Power Plant (QNPP).展开更多
In this study,an extend application was developed to in situ analyze the herbal pieces of Aconitum plants by Direct Analysis in Real Time Mass Spectrometry(DART-MS).Nearly all aconitine-type alkaloids can be desorbed ...In this study,an extend application was developed to in situ analyze the herbal pieces of Aconitum plants by Direct Analysis in Real Time Mass Spectrometry(DART-MS).Nearly all aconitine-type alkaloids can be desorbed and ionized in this method,including diester diterpenoid aconitines(DDAs),monoester diterpenoid aconitines(MDAs)and some other diterpenoid aconitines.The spectra of in situ analysis for the herbal pieces of aconitum plants are similar with that of their extracts.Radix Aconiti and Radix Aconiti Kusnezoffii can be distinguished from each other by the intensity differences of character fragment ions from MDAs,such as m/z 586,572,and 556.The qualified and unqualified herbal pieces can be also identified by the relative abundances of DDAs.The RSD of the relative abundances of some character ions at m/z 556,586,and 590 were 13.53%,4.03%,and 12.03%,respectively.So this in situ analytical method can identify both the types of Aconitum preparata and their quality.It provides the following advantages in the analysis of Chinese herbs:fast detection without much pretreatment,high-throughput analysis,and reduction of pollution without any organic solvent.展开更多
深度强化学习算法以数据为驱动,且不依赖具体模型,能有效应对虚拟电厂运营中的复杂性问题。然而,现有算法难以严格执行操作约束,在实际系统中的应用受到限制。为了克服这一问题,提出了一种基于深度强化学习的改进深度Q网络(improved dee...深度强化学习算法以数据为驱动,且不依赖具体模型,能有效应对虚拟电厂运营中的复杂性问题。然而,现有算法难以严格执行操作约束,在实际系统中的应用受到限制。为了克服这一问题,提出了一种基于深度强化学习的改进深度Q网络(improved deep Q-network,MDQN)算法。该算法将深度神经网络表达为混合整数规划公式,以确保在动作空间内严格执行所有操作约束,从而保证了所制定的调度在实际运行中的可行性。此外,还进行了敏感性分析,以灵活地调整超参数,为算法的优化提供了更大的灵活性。最后,通过对比实验验证了MDQN算法的优越性能。该算法为应对虚拟电厂运营中的复杂性问题提供了一种有效的解决方案。展开更多
随着信息技术的迅猛发展,不间断电源(Uninterruptible Power Supply,UPS)在关键基础设施中起着至关重要的作用,能够确保系统持续、稳定供电。然而,在面对高负载、故障等复杂情况下,传统的UPS调度策略存在效率低、资源利用不足等问题。...随着信息技术的迅猛发展,不间断电源(Uninterruptible Power Supply,UPS)在关键基础设施中起着至关重要的作用,能够确保系统持续、稳定供电。然而,在面对高负载、故障等复杂情况下,传统的UPS调度策略存在效率低、资源利用不足等问题。针对这些挑战,文章提出一种面向高可用性的UPS调度自动化策略优化方案,旨在提高系统的稳定性、灵活性及资源利用率。通过引入智能算法和实时数据分析等技术手段,优化调度策略,提高UPS的整体性能,为关键基础设施的可靠运行提供有力支撑。展开更多
文摘This paper introduces the system structure and work principle of the upgraded real time information system in Wangting Power Plant, and then expounds the realization way and function features of this system on B/S computing mode. The results of field application show the new system has good capability, reliability and expandability.
文摘The paper presents a computer code system 'SRDAAR- QNPP' for the real-time dose as-sessment of an accident release for Qinshan Nuclear Power Plant. It includes three parts:thereal-time data acquisition system, assessment computer. and the assessment operating code system. InSRDAAR-QNPP, the wind field of the surface and the lower levels are determined hourly by using amass consistent three-dimension diasnosis model with the topographic following coordinate system.A Lagrangin Puff model under changing meteorological condition is adopted for atmosphericdispersion, the correction for dry and wet depositions. physical decay and partial plume penetrationof the top inversion and the deviation of plume axis caused by complex terrain have been taken in-to account. The calculation domain areas include three square grid areas with the sideline 10 km, 40krn and 160 km and a grid interval 0.5 km, 2.0 km, 8.0 km respectively. Three exposure pathwaysare taken into account:the external exposure from immersion cloud and passing puff, the internalexposure from inhalation and the external exposure from contaminated ground. This system is ableto provide the results of concentration and dose distributions within 10 minutes after the data havebeen inputed.
文摘Nowadays, the scale of data normally stored in a database collected by Data Acquisition System (DAS) or Distributed Control System (DCS) in a power plant is becoming larger and larger. However there are abundant valuable knowledge hidden behind them. It will be beyond people's capacity to analyze and understand these data stored in such a scale database. Fortunately data mining techniques are arising at the historic moment. In this paper, we explain the basic concept and general knowledge of data mining; analyze the characteristics and research method of data mining; give some typical applications of data mining system based on power plant real time database on intranet.
文摘This paper presents a novel method to solve old problem of water level control system of pressurized water reactor (PWR) steam generator (SG) of nuclear power plant (NPP) .The level control system of SG plays an important role which effects the reliablity,safty,cost of SG and its mathematical models have been solved.A model of the conventional controller is presented and the existing problems are discussed. A novel rule based realtime control technique is designed with a computerized water level control (CWLC) system for SG of PWR NPP.The performance of this is evaluated for full power reactor operating conditions by applying different transient conditions of SG′s data of Qinshan Nuclear Power Plant (QNPP).
基金supported by the National Natural Science Foundation of China(No.81073040,81274046)National Basic Research Program of China(973 Program)(Nos.2011CB505300,2011CB505305)the Special Fund for Quality Inspection Administration Public Welfare Scientific Research Funding(No.201204001).
文摘In this study,an extend application was developed to in situ analyze the herbal pieces of Aconitum plants by Direct Analysis in Real Time Mass Spectrometry(DART-MS).Nearly all aconitine-type alkaloids can be desorbed and ionized in this method,including diester diterpenoid aconitines(DDAs),monoester diterpenoid aconitines(MDAs)and some other diterpenoid aconitines.The spectra of in situ analysis for the herbal pieces of aconitum plants are similar with that of their extracts.Radix Aconiti and Radix Aconiti Kusnezoffii can be distinguished from each other by the intensity differences of character fragment ions from MDAs,such as m/z 586,572,and 556.The qualified and unqualified herbal pieces can be also identified by the relative abundances of DDAs.The RSD of the relative abundances of some character ions at m/z 556,586,and 590 were 13.53%,4.03%,and 12.03%,respectively.So this in situ analytical method can identify both the types of Aconitum preparata and their quality.It provides the following advantages in the analysis of Chinese herbs:fast detection without much pretreatment,high-throughput analysis,and reduction of pollution without any organic solvent.
文摘深度强化学习算法以数据为驱动,且不依赖具体模型,能有效应对虚拟电厂运营中的复杂性问题。然而,现有算法难以严格执行操作约束,在实际系统中的应用受到限制。为了克服这一问题,提出了一种基于深度强化学习的改进深度Q网络(improved deep Q-network,MDQN)算法。该算法将深度神经网络表达为混合整数规划公式,以确保在动作空间内严格执行所有操作约束,从而保证了所制定的调度在实际运行中的可行性。此外,还进行了敏感性分析,以灵活地调整超参数,为算法的优化提供了更大的灵活性。最后,通过对比实验验证了MDQN算法的优越性能。该算法为应对虚拟电厂运营中的复杂性问题提供了一种有效的解决方案。
文摘随着信息技术的迅猛发展,不间断电源(Uninterruptible Power Supply,UPS)在关键基础设施中起着至关重要的作用,能够确保系统持续、稳定供电。然而,在面对高负载、故障等复杂情况下,传统的UPS调度策略存在效率低、资源利用不足等问题。针对这些挑战,文章提出一种面向高可用性的UPS调度自动化策略优化方案,旨在提高系统的稳定性、灵活性及资源利用率。通过引入智能算法和实时数据分析等技术手段,优化调度策略,提高UPS的整体性能,为关键基础设施的可靠运行提供有力支撑。
