Design and Realize Intelligent Decision Support System of Rocket Safety Control

The problem on rocket safety control is important during the rocket launching proceeding, and is also the focus of every space country. The importance of rocket safety control is introduced, and the characteristics of the existing system are analyzed. Because of the special characteristics, the paper proposes an intelligent decision support system of rocket safety control, adopting the technique of artificial intelligent especially expert system. First, the authors introduce rocket safety control architecture and function. Then, a new method is proposed to represent the knowledge which is integrated with production rule and object-oriented technique. Furthermore, the reasoning is investigated, and decision-making network and uncertainty reasoning model are introduced.     

Knowledge-based Intelligent Decision-making System for the Safety of Rockets

With the progress of science and technology, the astronautics has obtained great development and researched in many countries, the problem on rocket safety control is important during the rocket launching proceeding, and is also the focus of every space country. At first, the importance of rocket safety control is introduced and the characteristics of the existing system for the safety of rockets are analyzed. After indicating its disadvantages, the design idea, system framework and method for realization of the knowledge-based intelligent decision-making system are proposed to improve certainty and authenticity of safety decision, containing correspond knowledge and adopting the technology of intelligent decision and reasoning on AI.     

A Uncertain Reasoning Machine

This paper firstly discusses some problem about the uncertain reasoning machine in the agricultural expert system based on HPC, such as the knowledge representation, the certainty factor, the representation of evidence uncertainty, the calculation of multi evidence uncertainty, the update of uncertainty and so on. Secondly, the control strategy of this uncertain reasoning machine is discussed. This control strategy adopts a converse reasoning strategy based on target, and it adopts a conflict removing strategy based on certainty factor. The arithmetic to realize the uncertain reasoning machine is also given in detail. At last, this paper stats the example of malnutrition diagnosing of grape as the application of the reasoning machine.     

Product ontology screening and its application in variant design

A product ontology screening method which can be used in variant design is proposed. With the support of complete ontology view of product resources, the product functional requirement and structural characteristics are converted to demand constraints, which are used to screen product ontology. For different screening hierarchies and objects, different screening rules such as pattern matching, case matching combined with manual decision and auto matching on the basis of case-based reasoning are adopted. The semi-automatic screening method with human-computer cooperation has impressive effectiveness on the improvements of the accuracy of design schemes and the flexibility and efficiency of design process. Finally, a variant design supporting system for building door and window is developed, which proves the feasibility and effectiveness of the method.     

Object-oriented Design of the Intelligent Decision-making System of Rocket Safety Controlling

Because of systemic error in measurement and trajectory track, precision of trajectory parameter is not high and it results in false alarms in the traditional systems. The intelligent decision-making system of rocket safe controlling is built by using object-oriented method. First, the authors analyze and design rocket safety controlling architecture. Then, we study about knowledge expressing and knowledge database by object-oriented technique for the rocket safety controlling. At last, inference procession of the system is discussed. Intelligent decision-making system of rocket safety controlling is accurate, extensible and flexible.     

基于知识模型的作物适应性评价专家系统设计

系统引入了知识模型概念,建立了以知识模型为特征的知识系统,将知识工程、数据库有机结合,采用正向与反向相结合的推理控制策略,建立了基于知识模型的作物适应性评价专家系统,实现了作物适应性评价的计算机辅助决策,具有较强的跟踪解释能力。用本系统对江苏省地区小麦适应性还进行了实例分析。     

Control Strategy of DO Parameter Based on Human Simulated Intelligence in the Wastewater Treatment Process

The treatment of wastewater is a complicated biological and chemical process, which can not be described precisely with a mathematical model. It is almost impossible to get a satisfactory control result when a traditional PID control method is adopted, for the parameters of the activated-sludge process are uncertain. The paper takes DO parameter controlling as an example, and proposes a human-simulated intelligent control strategy to reduce the fluctuation problem of DO parameter. Both the control rules and the structure of control system are presented. The simulation experiments shows that the control effect of activated-sludge process by HSIC is much better than PID control.     

Analysis on Correlated Problem with Control of Uncertainty System

The majority difficulty for uncertainty system control is that agreements haven't been arrived in concept of uncertainty information and its characteristics, uncertainty system and its properties. Therefore some control problems have discussed based on some confused concepts, and the result shows that the study on uncertainty system control hasn't made great progress yet. In addition, problems concerning uncertainty system control are very wide in the practical engineering. Aimed at above problems the concept of uncertainty information and its classification, basic properties of uncertainty system and desired control strategy based on own practical experience are studied. Finally, that intelligent control strategy is wise choice for uncertainty system control based on successful engineering application.     

Analysis on Stability for Uncertainty Complex Control System Based on Knowledge

Concept of stability is vague, but it is basic characteristic of dynamic system, and precondition that make all kinds of control system run normally. Today it is still a challenge to analyze stability for uncertainty complex control system, whose mathematic modeling is impossible or very difficult, so it is very hard to judge whether a system running is stable or not by mathematic stability criterion. A kind of analyzing method is presented, which combine absolute stability with self-locked concept of heuristic search, it may analyze system stability in more range through adjusting self-collected loop parameters for uncertain control system based on knowledge control model. It is shown that stability analyzing method is effective and suitable for practical physical system in the engineering project.     

A Real-time Expert System Based on Adaptive Predication of Process State

The combination of the measured real time state acquisition from the process with predictive process for the fature state is used to predicate the variable tendency for process state. This method is useful to avoid delay and enhance real time ability of the control information of the expert system. Also a described knowledge and structure of real time process state are proposed. This system can be applied to other kind of practice systems with slow time variable, uncertainty and delay.     

服务供应链视角下生鲜农产品品质不确定性因素研究

从服务供应链视角构建生鲜农产品服务供应链,将其作为农产品供应链的子链,利用系统分析的方法得出在服务供应链中影响生鲜农产品品质的不确定性因素,根据管理决策行为能否抑制不确定性因素对生鲜农产品的消极影响,将不确定性因素划分为可控不确定性因素和不可控不确定性因素。利用灰色关联分析得出影响生鲜农产品品质的关键可控不确定性因素,并从生鲜农产品流通渠道、冷链设施设备的投入、物流标准化、政府对质量的监管力度等方面提出控制策略,保障生鲜农产品质量安全。     

Knowledge Acquisition Approach Based on Fuzzy-rough Set

A new method of knowledge acquisition based on fuzzy - rough set is proposed. The continuous attributes in the decision table are fuzzified with the fuzzy membership functions. Lower and upper approximation of fuzzy - rough set are obtained by defining fuzzy equivalence relation. According to them the decision rules are acquired. At last, an example is illustrated and proves that the approach is effective.     

Complex Correlation System Control Based on Human Simulation Intelligence

Because there are lots of difficulties in mathematic modeling for uncertainty complex object, so it is not suitable to utilize traditional methods in some aspect such as identification, analysis, synthetical design and implementation. Especially, for the idea of system modeling, it is very different in comparison with traditional mathematic modeling, therefore, it is very difficult to study control problem for uncertainty system in technology and theory. On the basis of summarizing characteristics of uncertainty complex object, present to establish generalized control model, and apply intelligent control strategy to implement control effectively. In addition, authors also studied control algorithm and system structure. Engineering practice shows that it is effective and successful to establish generalized control model, and select intelligent control strategy for uncertainty control system.     

Research of Expert System for High-rise Buildings Foundation Scheme

In this paper, the factors influencing the foundation scheme of high-rise buildings are analyzed. In accordance with the complex hierarchical structure and the uncertainty of foundation scheme, a knowledge base of hierarchical structure is set up and an inexact reasoning is realized. Then, the expert system for high-rise buildings foundation scheme (TBFES) is built on the knowledge base with the expert system tool CLIPS.     

基于ASP.NET的粮库虫害诊断专家系统

采用B／S／S三层体系建立系统，分层产生式规则更接近于人的思维，有效地表达了粮库虫害领域的知识；知识库与推理机分离使得维护知识更加快捷；自动生成界面简约、方便，易于操作；系统通过ASP．NET发布在网上，可以进行远程操作。     

Analysis on Control Strategy for a Kind of Uncertain Complexity System

In practical industrial fields, it is very difficult to control uncertain complexity object effectively, because there are various uncertainties from internal dynamic characteristic and external, surroundings disturbance for controlled object. Its complexity is not only shown in structure, but also in information relation, so it is uneasy to implement it on technology. Aimed at selecting puzzle of control strategy for uncertain complexity system control, the authors describe cybernetics model based on analysis on some kinds of control strategy and contrastive research, and the model is applied in physical engineering system successfully. Finally, the authors point out that intelligent control strategy should be selected for uncertain complexity system control, and that Human Simulation Intelligent Control is a wise choice.     

Rapid Prototype Control of Hydraulic Automatic Transmission System Based on dSPACE

dSPACE is a prototype development and real-time control testing platform which is based on MATLAB/Simulink software. By establishing mathematic model of hydraulic automatic transmission system, the shift rules are achieved. A testing platform for hydraulic automatic transmission system is developed whose control software is programmed by simulink and using the dSPACE as the centre controller. The experiment of electric throttle control and power performance matching control of hydraulic automatic transmission system is carried out. the result shows that well matching performance of hydraulic automatic transmission system can be realizedby using the control strategy proposed in this paper, it provides a fast and efficient approach for researching and developing the hydraulic automatic transmission system.     

Hierarchy Group Decision-making Method of Evaluation of Residential Areas Architecture Design Schemes

For incarnating the effects of the preference of the potential users of residential areas or decision makers on the evaluation of architecture design schemes,a two hierarchy multi-attribute group decision model is established.How to obtain the decision matrix of expert evaluation incarnates the influence of difference of professional knowledge among experts on decision.Multi-attribute decision making method based on uncertain linguistic assessment is used to determine the users' preference on schemes.The weight of attributes is determined by a optimization model that makes the difference of attribute assessment between expert and user minimum,and those weights are used in expert decision.This can enable the model to reflect correctly the actual situation of such decision making question.     

Grey situation decision making method of condition basedmaintenance strategy for power transformer

Based on the status of CBM (Condition Based Maintenance) in domestic and abroad, the authors propose a GSDM (Grey Situation Decision Making) method of CBM strategy for power transformers. The countermeasure set of CBM for power transformers includes the five typical maintenance schemes, such as the off line maintenance, priority plan overhaul, surveillant operation, periodic overhaul and postponed overhaul. Taking the safety and economy into account, the five qualitative evaluation indexes of decision making, such as security, reliability, maintainability, economy and monitoring feasibility, are proposed, and the quantitative method of the qualitative evaluation indexes is presented. Through constructing situation effect vectors of GSDM, the optimal maintenance strategy for power transformers can be obtained on the base of the grey relational grade between the situation effect vectors and the optimal situation effect vectors. The examples of the CBM scheme for two power transformers in service are provided to illustrate the specific process of the decision making method and to verify its effectiveness.     

Power Plant Bid Decision-making Stragegy Based on Accounting Theory

The main theortical basis that management accountant can be regarded as electricity-generating commerce is brought forward.The main contents of management accountant,such as cost analysis,quantity benefit analysis,estimate analysis,the decision analysis,the budget,cost control,responsibility center,the possibility of the indetermination analysis theories on generating electricity,feasibility and advantages,are analyzed and demonstrated in detail.Based on these works and combining knowledge of computer,related knowledge about power and the latest rules of electric power market,the functional design for the power plant biding for on-net assistant system is completed.The power plant bid decision-making stragegy includes following functions: receiving and declareing the data of the electric power market,protecting cost analysis,protecting price decision,predicting load,safe area analysis,superior distribution,settle accounts,sensitivity analysis,controlling plan management and risk analysis etc.