智能型地理信息系统（AIGIS）在城市抗震防灾规划中的应用

本文简要介绍地理信息系统GIS的发展概况、主要功能以及在国内外的应用现状.对现有的GIS软件技术加以改进,引进人工神经元网络和模糊综合评判技术,发展了一种智能型的GIS,在我国若干城市的抗震设防区划工作中应用,取得良好的效果。     

THE OPTIMAL TIME TO START THE OPERATION OF A DESALTING PLANT IN ISRAEL1

The study contains the methodology of finding the optimal time to start the operation of a desalting plant or any other non conventional source of water for agricultural use in Israel. The essence of the methodology is the moving equilibrium price and quantity of agricultural products. The market of agricultural products is represented by a single demand curve and a supply curve which is derived from the agricultural sector production function. Both the demand for and the supply of agricultural products functions are shifting over time. The marginal value product of water is the critical value that determines the optimal time of a desalting plant. The study is static in the sense that dynamic aspects per se are not dealt with-e.g. learning by doing of building and operating desalting plants. The empirical results although used for illustrative purposes can be used as reference points for other detailed and more ‘exact’ studies on water desalination.     

除尘系统加接新支管的理论和实践

对于一个现有的除尘系统,若其除尘器、通风机的工作能力有足够的富余量,则可以在该系统管网上加接新的支管,来治理新的扬尘点。     

灰关联分析在故障树诊断中的应用

介绍一种灰色诊断法。在故障诊断模式识别中,运用灰关联分析,依据故障树的底事件重要度,通过关联度计算及排序,对故障树分析中,各种故障模式发生的可能性大小作出了准确的判断,从而为处理事故的先后、缓急提供了依据。     

塔式起重机安全评判专家系统的研制

塔式起重机作为建筑施工的主要设备,在建筑等行业发挥着极其重要的作用,因而其安全问题受到各国有关部门的高度重视,但塔式起重机的事故率近年来仍未见下降,其安全问题仍然是建筑施工中的忧患之一。为此,笔者在建造了塔式起重机安全的依赖关系图的基础上,采用基于现代设计方法学的专家系统构造技术,使用ＶＩＳＵＡＬＣ＋ ＋ 开发了塔式起重机安全评判专家系统ＴＱＥＳ。该系统经全部测试通过,可对一般的塔式起重机进行安全评判     

1900个乡镇工业的工伤职业病医疗保障现状分析

在调查的１９００个乡镇工业企业中,有９．３％ 的企业对职工工伤职业病没有任何保障,其中尤其是个体联户所办企业则高达１５％ 。按行业进行分析,最易发生工伤职业病的各种矿山采选业、建材生产业,能给予报销医疗费的企业占７８．５％ ,部分给予报销的企业占１０．２％ ,不予报销企业占１１．３％ 。从保障程度看,能给予全部报销医疗费的企业仍以乡办企业为最高（９３．２％ ）,其次为村办企业（９０．２％ ）和个体联户所办企业（８８．５％ ）     

淡水鱼类种质资源信息系统的研制

采用人工智能和多媒体技术、建成了淡水鱼类种质资源信息系统。本系统完整、准确地保存了鲢、鳙、草鱼、团头鲂、方正银鲫、兴国红鲤、散鳞镜锂、尼罗罗非鱼、奥利亚罗非鱼等十种淡水鱼类种质标准参数及其性状图形、图像集、,包括鱼类可量和可数性状;鱼类年龄与生长特征;鱼类性成熟和怀卵量特征;鱼类耗氧量、耗氧率和窒息点指标;鱼类肌肉成份;鱼类染色体核型图像;鱼类同工酶酶谱组成指标,为进行种质鉴别和保存探索了一条新路     

Depolarising the 'Broadened' and 'Back-to-basics' Relief Models

Prompted by the calls in recent years to link relief practice to peace-building, development, or both, several conferences and papers have recently mounted a strong critique, seeing these 'broadenings' of relief as 'eroding' or 'corrupting' core humanitarian principles and playing into neo-isolationist agendas to slash humanitarianism. This paper argues that whereas these critiques have important goals in mind when they encourage a concentration on the basics of relief, there has been a loss of subtlety in the ensuing debate. Considering each element of the debate in turn, the paper argues that there is more common ground between 'new' and 'old', 'broadened' and 'basics' relief than at first appears. In concluding, it is argued that further research on key questions, and an openness to hear all perspectives will get us further than entrenched positions and rallying cries.     

对中国防灾减灾立法体系的探讨

中国是自然灾害和经济、社会发展中人为突发事件灾害普遍、灾情严重的国家。灾害已直接影响和制约着国家的经济建设、社会发展和公众的安全。要把防灾减灾作为中国的基本国策。为此,必须长远规划和全面制定中国的防灾减灾立法体系,以适应２１世纪中国减灾安全与可持续发展的战略任务。本文就编制中国防灾减灾立法体系应遵循的指导方针、基本原则及方案的框架设想全面提出研讨建议。     

Risk-based optimal operation of hybrid power system using multiobjective optimization

ABSTRACT

This paper solves an optimal generation scheduling problem of hybrid power system considering the risk factor due to uncertain/intermittent nature of renewable energy resources (RERs) and electric vehicles (EVs). The hybrid power system considered in this work includes thermal generating units, RERs such as wind and solar photovoltaic (PV) units, battery energy storage systems (BESSs) and electric vehicles (EVs). Here, the two objective functions are formulated, i.e., minimization of operating cost and system risk, to develop an optimum scheduling strategy of hybrid power system. The objective of proposed approach is to minimize operating cost and system risk levels simultaneously. The operating cost minimization objective consists of costs due to thermal generators, wind farms, solar PV units, EVs, BESSs, and adjustment cost due to uncertainties in RERs and EVs. In this work, Conditional Value at Risk (CVaR) is considered as the risk index, and it is used to quantify the risk due to intermittent nature of RERs and EVs. The main contribution of this paper lies in its ability to determine the optimal generation schedules by optimizing operating cost and risk. These two objectives are solved by using a multiobjective-based nondominated sorting genetic algorithm-II (NSGA-II) algorithm, and it is used to develop a Pareto optimal front. A best-compromised solution is obtained by using fuzzy min-max approach. The proposed approach has been implemented on modified IEEE 30 bus and practical Indian 75 bus test systems. The obtained results show the best-compromised solution between operating cost and system risk level, and the suitability of CVaR for the management of risk associated with the uncertainties due to RERs and EVs.