专家系统在拆除爆破中的应用

拆除爆破是一门理论上发展尚不完善，在实际工程中仍主要依赖于设计者经验的应用学科，专家系统在这一领域的应用研究显得十分必要。本文简述了专家系统在工程爆破中的应用现状，分析了专家系统在拆除爆破中的应用研究的意义，并对专家系统在拆除爆破中应用研究的可行性和发展前景进行了探讨。     

拆除爆破专家系统

本文简述了专家系统在工程爆破中的应用现状,分析了拆除爆破专家系统研究的可行性,并系统介绍了拆除爆破专家系统的设计思想,系统模型。     

计算机技术在爆破拆除领域中的应用

简介了计算机模拟在拆除爆破领域中应用的现状 ,概述了专家系统的原理、智能系统的功能及其在烟囱、水塔和楼房爆破拆除中的应用。对于智能系统中的两种推理机制 ,即正向规则推理和类比推理 ,进行了较详细的描述。作者认为 ,利用智能系统进行爆破设计是爆破拆除行业的发展方向。     

高耸建筑物拆除爆破专家系统及其应用

简介了初次研制的高耸建筑物拆除爆破专家系统的结构 ,详细论述了各模块的功能。同时 ,通过 4个工程应用实例 ,说明了该系统的设计效果。实践证明 ,该系统用于高耸建筑物拆除爆破的设计 ,基本上是可行的 ,但存在一些不足之处 ,必须加以完善。     

拆除爆破设计的智能系统研究与开发

介绍了一个有关拆除爆破设计智能系统的研究与开发。该系统应用专家系统技术,对爆破领域的知识进行描述,建立知识库,并通过推理机等功能模块,进行爆破设计及参数优化。     

切割爆破技术在拆除工程中的应用

切割爆破技术在拆除工程中有着广泛的应用.介绍了切割爆破技术的原理及确定各项参数的方法,并结合工程实际探讨了在拆除工程中正确运用切割爆破技术的方法.     

大型设备基础拆除爆破参数的设计

对大型设备基础拆除爆破的参数设计方法进行了研究，提出爆破参数的计算式。这些计算式的计算结果与工程实践相符，用于拆除爆破工程中，可获得良好和爆破效果。     

北京工程爆破学会举办青年学术论坛

北京工程爆破学会在北京市第九届科技交流月活动中，于2006年10月13日举行了青年学术论坛。四位中青年学者围绕现代爆破技术研究与应用的最新进展作了学术报告．他们是：中国矿业大学刘殿书教授“水下聚能爆破的实验研究与应用”、北京矿冶研究总院宋锦泉博士“现场混装炸药技术在煤矿坚硬顶板预裂爆破中的应用研究”、北京理工大学杨军教授“钢筋混凝土结构爆破拆除的有限元模拟研究”、     

远程测振系统在群楼拆除爆破振动监测中的应用

为了探索数字爆破测振系统在工程爆破危害效应实时监测中的应用效果,以汉口滨江商务区拆除爆破19栋群楼的工程为例,按照公安主管部门在审批拆除爆破方案时的要求,该工程必须采用控制爆破的方法,同时加强拆除爆破产生危害效应的实时监测。为此,本次群楼拆除爆破采用的是广州中爆数字公司研发的远程测振系统,对群楼拆除爆破过程中产生的爆破振动及塌落振动进行了全程、在线监测。通过远程测振系统,能够实现爆破测振数据的自动记录、远程传输和精细处理,进而推动爆破行业的快速发展,同时作为爆破安全监管的数字化、信息化手段,可对拆除爆破危害效应进行实时在线监测,可有效提升公安主管部门对复杂环境下爆破工程项目作业安全的远程监管能力。应用结果表明,远程测振系统可对爆破振动进行实时有效监测。     

远程测振系统在群楼拆除爆破振动监测中的应用

为了探索数字爆破测振系统在工程爆破危害效应实时监测中的应用效果,以汉口滨江商务区拆除爆破19栋群楼的工程为例,按照公安主管部门在审批拆除爆破方案时的要求,该工程必须采用控制爆破的方法,同时加强拆除爆破产生危害效应的实时监测。为此,本次群楼拆除爆破采用的是广州中爆数字公司研发的远程测振系统,对群楼拆除爆破过程中产生的爆破振动及塌落振动进行了全程、在线监测。通过远程测振系统,能够实现爆破测振数据的自动记录、远程传输和精细处理,进而推动爆破行业的快速发展,同时作为爆破安全监管的数字化、信息化手段,可对拆除爆破危害效应进行实时在线监测,可有效提升公安主管部门对复杂环境下爆破工程项目作业安全的远程监管能力。应用结果表明,远程测振系统可对爆破振动进行实时有效监测。     

专家系统在岩体爆破工程决策问题中的应用前景

本文简要介绍了专家系统的基本原理及在岩体爆破工程决策问题中可应用的方面,以作为专家系统在该领域中推广的启示和促进。     

Expert systems: A short introduction

Expert systems are rapidly growing in diversity of application and usage worldwide. Even though expert system development has been slow in applying expert systems to the specific field of structures, expert system technology has been pervasive in other areas of engineering and manufacturing. This paper provides a short introduction on expert systems, looking at their development, application and future trends.     

Calibration of Expert Judgments Applied to Uncertainty Assessment

Abstract:

This article contributes a methodology for eliciting expert judgment in support of decision analysis associated with the conceptual design of advanced engineering systems. To provide a basis for decision making in the presence of model and input parameter uncertainties, experts in several disciplines can be utilized to provide model parameter estimates to facilitate analyses. The judgment elicitation methodology was developed to cover a multitude of system disciplines using multiple experts. To address consistency in expert assessments, the methodology includes expert assessment calibration means. A sample application of the resultant expert judgment methodology is discussed. An engineering manager can use the methodology described in this article to assess viability of potential courses of action in high-risk or advanced state-of-the-art technology systems development ventures.     

工程设计的专家系统

本文对人工智能和专家系统的发展概况、工程设计专家系统的基本组成、框图以及知识的描述和知识库的构造作了简要介绍,并讨论了一个简单的应用问题。     

Knowledge Engineering Application in maintainability Design and Analysis

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Expert systems for emergency alarms analysis during accident situations in nuclear reactors

Expert system development is an important application of artificial intelligence. During the last few years, many successful expert systems have been developed in various fields like medical diagnosis, geological exploration, office management, etc. Expert systems is a computer software which solves reasonably complex problems where normally one needs an expert in that field to solve them.Recently efforts are being made in developing expert systems to support the operating staff in nuclear reactors. Nuclear power plant is one of the most complex engineering systems and safe and reliable operation is of primary importance. In spite of many automatic and redundant safety systems there are some occasions when the operating staff have to analyse the alarms and take further safety actions. Few of the severe accidents like Three Mile Island in USA and Chernobyl in USSR are attributed to the errors made by the operating staff and/or management. Nuclear engineers or systems analysts who may be expert in analysing an accident situation and advise corrective safety actions may not be readily available during the accident situations in the nuclear power plants. It is possible to model such expert knowledge in expert systems and this can be applied in diagnosing an accident situation like the loss of coolant accident (LOCA) and act as an additional confirmatory aid to the operating staff.Two small expert systems examples have been developed and are explained in this paper. One identifies a spurious LOCA alarm in a heavy water research reactor. The second example identifies the type of medium/small leakage (LOCA) in a coolant circuit of a PWR and suggests the subsequent safety actions. Both the examples have been developed using the expert systems shell VP-expert. They are off-line usable and user interactive. We do not propose expert system application for very fast response safety actions like reactor scram. These two small expert system examples are essentially to support the feasibility study in their applications during accident situations in nuclear power plants.     

故障诊断专家系统在电子设备冷却装置中的应用

阐明故障诊断专家系统的原理、知识库的建立及检索方法,介绍其在电子设备冷却装置的设计与应用。     

智能化绘图在冷库设计专家系统中的应用

冷库设计专家系统是一套集人工智能技术及专家系统原理于一体的冷库设计软件。笔者将主要介绍智能化绘图部分，包括库房平面布置、机房平面布置及施工图绘制在本专家系统中的应用。     

Cause and effect analysis by fuzzy relational equations and a genetic algorithm

This paper proposes using a genetic algorithm as a tool to solve the fault diagnosis problem. The fault diagnosis problem is based on a cause and effect analysis which is formally described by fuzzy relations. Fuzzy relations are formed on the basis of expert assessments. Application of expert fuzzy relations to restore and identify the causes through the observed effects requires the solution to a system of fuzzy relational equations. In this study this search for a solution amounts to solving a corresponding optimization problem. An optimization algorithm is based on the application of genetic operations of crossover, mutation and selection. The genetic algorithm suggested here represents an application in expert systems of fault diagnosis and quality control.