基于GAN的家庭无线烟雾报警系统设计

设计了一种以CAN总线作为综合信息传输的家庭无线烟雾智能报警系统.该系统采用ARM S3C2440作为主控芯片,CAN节点作为数据交换模块,完成家庭烟雾报警功能.其中烟雾报警模块与CAN之间采用ZigBee进行无线数据传输.整个系统中ZigBee无线模块与CAN总线相结合,具有灵活、智能和稳定等优点.     

基于无线通信技术的火灾智能化自动报警系统研发

摘要：针对现有消防报警系统投资大、安装麻烦等缺点,自主研发了一种基于无线通信的火灾智能化自动报警系统。主机采用STM32F103V8处理器为主控单元,实现仪器操控、无线收发、报警指示、远程控制及工作状态显示等功能。终端机以STC12C增强型51单片机作为数据处理单元,实现烟雾及温度探测和无线收发等功能。技术创新体现为基于无线通信技术并融合传感器技术和智能控制技术。总体设计依据分布式控制的思想,硬件采用单主机对应多路检测终端的一对多无线通信系统,主机依据系统软件以群发单收的方式实现一对多的同频率无线有序编码通信。依据自拟通讯协议采用串行半双工无线通信的方式实现主机与各检测终端交互。     

基于单片机的无线火灾报警系统研究

对现有火灾报警系统进行了分析和研究,提出了一种基于单片机的无线火灾报警系统.该系统利用单片机控制无线通信模块进行火警信息的无线远程传输,从而进行报警,并改进了以往报警系统投资大、工程量大等缺点.     

单片机无线火灾报警系统设计

针对现有的分布式火灾报警系统投资大、安装麻烦、工程量大等缺点,设计了1种基于单片机的无线火灾报警系统。系统上位机采用AT89C51单片机作为主控芯片,可分为主控模块、存储模块、人机对话模块（包括液晶和键盘）和无线射频通信模块。系统下位机以PIC18系列单片机作为主控芯片,可分为主控模块、烟感探头以及无线射频通信模块。该系统具有很好的可靠性和实时性,具有广泛的市场前景。     

基于ZigBee的军械仓库监测系统

为了实现军械仓库温湿度监测及火灾报警自动化,设计一种基于ZigBee技术的无线军械仓库监测系统。系统主要由单片机AT89S51、ZigBee模块CC1100、温湿度传感器、火焰传感器、烟雾传感器、中心管理计算机等组成。系统能够对多个仓库的温、湿度及火灾进行自动监测与报警。具有很好的应用价值。     

基于ZigBee技术的无线火灾概率分级预警系统设计

针对传统火灾报警系统在布线、扩容等方面的不足,在无线火灾预警产品缺少的现状下,利用无线传感器网络技术和多传感器融合技术设计了一个无线火灾概率分级预警系统;该系统采用ZigBee技术快速建立星形预报警网络,节点扩充容易,根据多传感器融合信息,将火灾发生趋势按概率等级给出预警;经过试验验证,能够适应各种复杂环境的火灾预警和报警要求.     

基于ZigBee通讯技术的火灾智能报警系统构建

文章介绍了无线火灾自动报警系统硬件部分组成.利用无线智能火灾报警器,火灾报警控制器,声光报警器,短信模块及ZigBee通讯技术研制构建了无线智能火灾报警系统.利用LabVIEW软件平台研制开发了无线智能火灾报警器的软件部分,其中多语音通道声光报警及短信报警方式的联合使用为智能报警的实现提供了基础.     

基于AT89C51单片机的烟雾报警装置设计

目前,随着大功率电气设备的普及,由此产生的火灾越来越多,为了保护人民生命财产的安全,预防和监测火灾成了当今社会急需解决的问题。该系统为一个以家庭、学校及办公楼为监视范围的单片机烟雾报警系统,以AT89C51单片机为控制器,通过MQ-2烟雾传感器检测信号,经A/D转换后,输入单片机,并通过单片机控制蜂鸣器,实现烟雾报警,该系统具有可靠性高、成本低、易维护等特点。     

远程火灾报警系统设计

为了实现远程火灾报警,更加便利的检测火灾发生,开发设计远程火灾报警系统,系统采用MSP430单片机为主控制处理器,对火焰热敏及烟雾传感器获得的数据进行处理,然后控制TC35短信模块发送短信,并实现语音报警功能的方法;做了模拟火情在房屋内出现的实验,当火情出现时指定手机会及时得到报警短信,因此得到系统能可靠实现远程火灾报警的结论。     

基于LABVIEW的多传感器火灾远程监控报警系统的实现

室内火灾的监控重点在于对环境信息(温度、火焰、烟雾等)的监控,因此设计具有多传感器采集模块,能实时、准确地对火灾进行监控和报警的系统才能有效地避免灾难的发生。本多传感器火灾远程监控报警系统选用C8051F020单片机,由温度传感器、烟雾传感器、火焰传感器组成的多传感器模块能采集丰富的环境信息,通过SIM300GSM模块实现了火灾的远程报警,基于LABVIEW的火灾监控报警平台能够实现火灾的实时监控、判断和报警。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.