【作者】 房建东；

【导师】 冯志勇；

【作者基本信息】 天津大学 ， 计算机应用技术， 2009， 博士

【摘要】 资源型产业是以矿产、生物、气候、土地等自然资源的勘探、保护、开发、更新等为基础,依托资源的开采、利用、加工而形成的对自然资源极度依赖的生产、经营、服务体制。如何在“模型—数据—知识”可计算模式下,从控制系统观点,提高资源型产业的知识管理水平,实现管控一体化,是近年来计算机应用技术与自动化领域的一个热点研究方向。由于空间状态参数取值以及计算模式选择不合理,直接影响了资源型产业管理与控制计算结果的可靠性。围绕以上问题,结合若干应用实例,本文对资源型产业运行特征形式化的模型生成算法与信息感知交互方式进行了深入的理论、技术及应用研究,主要包括以下几个方面的内容:针对资源型产业动态特征信息的随机性、模糊性和不完备性,研究了模糊逻辑在系统信息不完备条件下的诊断应用问题,设计了一种可实现运行过程动态特征模糊推理诊断模型,给出在已知部分特征信息条件下的求解算法,以响应实际运行环境下不可预见的动态扰动事件,从而有效解决运行中的调控问题。该方法成功用于内蒙古地区主要农作物病虫害的远程诊断。针对资源型产业运行的实时监控,实现资源型产业运行证据的定量描述,研究了利用高密度离散灰色建模方法解决动态参数预测问题,扩展设计了一种基于多变量离散灰色模型的预测控制算法。该算法成功用于内蒙古东部地区田间地表层的菌核量预测。针对资源型产业综合评判中存在的特征信息多目标、多维、模糊和不完备等特性,利用模糊综合评判方法研究了多目标适应性评判问题,设计了一种多级多因素模糊综合评判决策模型,给出在已知部分信息条件下的求解算法。该算法成功用于内蒙古地区饲用作物种植业生产规划备选方案的综合优选评价决策。针对“模型—数据—知识”混合可计算条件下,资源型产业系统的信息感知与交互需求,利用硬件在系统可实现技术,研究了系统智能化信息感知与交互方式,设计了一种模糊推理在系统并行可重构实现方案。仿真结果表明了该方法实现模糊感知推理的有效性。论文的研究工作丰富和拓宽了信息化技术与综合自动化技术的理论及应用领域,提高了智能算法解决实际优化控制问题的能力,为实现内蒙古地区资源型产业管控一体化,提升内蒙古地区资源型产业信息化研究的水平,开发具有地区特色的资源型产业信息化服务产品,满足新型工业化建设要求,提供了科学依据和系统集成方法。更多还原

【Abstract】 The resource-based industry is based on the exploration, protection, renewal, and utilization of the mineral, biotechnology, climate, land and other natural resources, and it is also a productive, operational and service system relying on the exploitation and processing of resources, especially natural resources. To achieve the integration of management and control, how to improve the level of knowledge management from the systematic control under the“mathematical model-based, data-based, and knowledge-based”computable conditions has become a hot spot in the fields of control science and engineering research in recent years. Since the industrial management and the reliability of the controlling computed results is effected directly by the space state parameters as well as the unreasonable computing mode, this paper has discussed and studied deeply on the generating model algorithm to the operating characteristics and the interactive methods of information-aware based on the above problems with several application examples, including the following aspects:Firstly, the dynamic applied study on the fuzzy logic is achieved under conditions of the stochastic, fuzzy and incomplete information, and the diagnosis model of fuzzy inference has been designed to realize the dynamic characteristics, then the algorithm is generated in the known characteristics to respond to the dynamic and unforeseen disturbance events in the actual production and take controls effectively and dynamically. This method is used successfully to the remote diagnosis of plant diseases and insect pests in the Inner Mongolia.Secondly, to monitor the characteristic parameters in real-time and describe quantitatively on the industry, the research is made to predict dynamic characteristics of parameters by the approach of the high-density discrete gray systematic modeling, and a predictive control algorithm has been designed based on the multi-variable and gray-based discrete modeling. The algorithm is applied on predicting the sclerotium number in the eastern part of Inner Mongolia in success.Next, a multi-level comprehensive fuzzy evaluation in decision-making model is established and the corresponding algorithm to some information given is made to the issue of multi-objective adaptive assessment in the light of the multi objective and dimensional, vague and incomplete properties existing in the comprehensive evaluation on resource-based industries. The algorithm is adopted successfully in the optimal decision-making on the planning and production options used for the animal feed of Inner Mongolia farming.Finally, the intelligent information-aware and interactive is studied and a reconfigurable parallel program is proposed on the perception and interaction demands under the“mathematical model-based, data-based, and knowledge-based”computable conditions, using the hardware technology being realized in system. The simulation results show that the effective of the method on achieving the fuzzy perception and reasoning.In general, the studies in the paper enriches and broadens the theory and applications of the information-based technique and the comprehensive automatic technique further, and improves the capability of solving the practical control and decision-making problems by the intelligent algorithm. And then a scientific basis and some systematic integration methods are provided with realizing the integrations of management and control in Inner Mongolia, enhancing the level of industrial info research and developing the local services products characteristically for the resource-based info industry.更多还原