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水力发电学报 ›› 2022, Vol. 41 ›› Issue (1): 1-13.doi: 10.11660/slfdxb.20220101

• •    下一篇

大坝智能建造理论

  

  • 出版日期:2022-01-25 发布日期:2022-01-25

Theory of intelligent dam construction

  • Online:2022-01-25 Published:2022-01-25

摘要: 本文回顾了大坝建造发展历程,总结了大坝智能建造的发展趋势和关键技术,梳理了大坝智能建造的关键问题与智能控制的关系,提出了大坝建造的智能控制理论,详细阐述了智能控制的概念、定义、特征、理论结构、要素,明确了“智能决策+自动控制”为智能控制的两大核心要素,构建了“自主感知与认知信息、智能组织规划与决策任务、自动控制执行机构完成目标”的大坝智能控制系统,并对其设计理念、组成要素、模块特征、应用层级进行了说明。本文所提出的智能控制理论为解决大坝建造过程中结构服役状态调控、全寿命周期安全性能评估、施工风险预测预警、成本造价控制难题,实现“高质、高效、安全、经济、绿色”的智能建设目标提供理论基础。

关键词: 大坝, 智能建造, 智能决策, 自动控制, 智能控制理论, 智能控制系统

Abstract: This article reviews the historical development of dam construction, summarizes the developing trend and key technologies of intelligent construction of dams, sorts out the relationship between the key issues in intelligent construction and intelligent control, and presents a basic control theory for intelligent construction of dams. The concept and definition of intelligent control and its characteristics, theoretical structure and elements are elaborated in detail, and "intelligent decision-making plus automatic control" is clearly defined as its two core elements. On this basis, an intelligent control system for dam construction-featured with the functions of autonomous perception and cognitive information, intelligent organization planning and decision-making tasks, and automatic control of executive agencies to accomplish goals-is constructed; its design concept, component elements, module characteristics, and application levels are explained. This intelligent control theory lays a theoretical basis for solving a variety of dam construction problems: structural service state control, full life cycle safety performance evaluation, construction risk prediction, early warning during dam construction, and cost control. It is also essential to realize the intelligent construction goal of high quality, high efficiency, safety, economy and greenness.

Key words: dam, intelligent construction, intelligent decision-making, automatic control, intelligent control theory, intelligent control system

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