多主体协作结构健康监测系统的关键技术研究
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摘要
结构健康监测是当前工程界与学术界的一个研究热点,已在多个领域取得不少进展,但要真正将其实用化,必须解决大范围集成问题。实际大型结构中,传感器数目多、种类繁杂,传感器信息是分散、分布、不同种类的。为了能够有效地协调、管理大型结构中的分布式监测网络,本文将人工智能领域的多主体技术应用到结构健康监测领域,建立多主体协作结构健康监测系统。针对实际大型平板结构进行了功能验证,验证了多主体协作结构健康监测系统的有效性,并在研究中初步提出了移动主体协作技术在结构健康监测中的应用,优化了系统的性能。本文的工作有助于促进结构健康监测技术的实用化。
论文的主要工作和创新性成果如下:
(1)研究了多主体协作结构健康监测系统的理论基础及构造原理。研究了主体BDI模型;从思考型主体、反应型主体、混合型主体中选取设计了不同主体的结构;研究了主体间的通信语言KQML;采用结合网状结构和层次结构优点的复合结构,设计了多主体协作结构健康监测系统的体系结构。
(2)提出了多主体协作结构健康监测系统的构造过程,建立了多主体协作结构健康监测系统框架。建立了7类健康监测系统智能主体及确立了主体间的协作、协调、协商机制;提出采用本体设计规范系统中概念间的关系;采用推进器(Facilitator)设计作为主体间的桥梁作用,实现了主体之间真正自主地、有效地协作。
(3)提出在多主体协作结构健康监测系统中采用黑板协作方法解决单个损伤评估主体不能解决的难题,采用信息融合中的D-S证据方法解决结果冲突问题;提出采用功能精确的协同方法作为子系统间的协作方法,在子系统间设立共享信息管理主体,建立分布式数据库为当地子系统提供服务,并通过子系统间信息共享的方式协同解决大型结构健康监测工作。
(4)将多主体协作健康监测系统应用于大型平板结构,针对三种典型监测对象:应变分布、螺钉松动、冲击载荷进行了分布式监测、协作功效、健康监测功效等系统功能的实验验证。提出采用基于案例的推理(CBR)技术作为诊断主体的协调机制,提出采用循环激励-依次传感方案解决大型结构中的螺钉松动监测问题。验证系统通过主体协作可自动判别监测对象,实现不同类传感器的选取和自组网络、通过协作自动选取合适的不同传感器的信号和信息处理方法,解决了边界监测问题、消除环境干扰、自动判别多个子监测区域中的上述三种典型监测问题。
(5)初步提出采用移动主体协作技术进一步优化多主体协作结构健康监测系统的性能,并结合验证实例阐述了移动主体协作的有效性。
Structural health monitoring (SHM) technology is a research fucus in the engineering and academic domain. Much progress has been made in many aspects. However, using the technology on large practical structures, integration work must be solved in practice efficiently. Since density and different kinds of sensors have to be adopted to have a reliable monitoring of large scale engineering structures, the sensor information obtained by different sensors at different sites is distributed, diverse and heterogeneous. To coordinate and manage the distributed sensor monitoring network effectively, in this dissertation the multi-agent technology in Artificial Intelligence (AI) area is researched for SHM. Multi-agent cooperative system based SHM is developed. To evaluate the efficiency of the system, the function verification is conducted on a plate structure. In the research the mobile agent cooperation technology is also proposed to optimize the realization performance. The objective of the research is to promote the development of SHM technology in practical application.
The main works and novel researched performed in this dissertation include:
(1) The theory and construction principle of the multi-agent cooperative system based SHM are researched. BDI model of agent is researched. According to the deliberative agent, reactive agent and hybrid agent, different architectures are chosen to design different agents. KQML as the agent communication language is investigated. The architecture of the multi-agent cooperative system based SHM is designed adopting the composite architecture combing the advantages of network architecture and layed architecture.
(2) The detailed process of constructing the multi-agent cooperative based SHM is presented. A general framework of the multi-agent cooperative system based SHM is developed. Seven kinds of health monitoring agents are designed and the cooperation, coordination and negotiation mechanism are estabished. The ontology design is presented to normalize the relationship of the concepts in the system. Facilitator design is adopted to act as the bridge among the agents. The work above realizes the automatic and effective cooperation in the system.
(3) The blackboard model is proposed to solve the problem that the single damage evaluation agent can not deal with. An information fusion method on D-S evidence theory is adopted to solve the diagnosic result conflict problem. Functionally Accurate, Cooperative method is presented as the effective cooperation way among the subsystems. Sharing Information Management Agent (SIMA) is designed for every subsystem and the distributed database is estabished to provide information service for local subsystem and external information sharing. The subsystems exchange the results with each other by SIMA and cooperate together to realize the large structural health monitoring work.
(4) The experimental verification is conducted on a large plate to validate the efficiencies of the system including the distributed monitoring, cooperation function and health monitoring for three typical kinds of structure states including strain distribution, bolt loosening and the impact load. Case-based reasoning (CBR) technology is presented as the effective coordination mechanism of diagnostic agents. Circular actuating/sensing in turn technology is proposed to monitor the bolt loosening for the large structure. Through the cooperation of different agents, the whole verification system can automatically choose sensing object, choose suitable signal processing method and damage evaluation method, self-organize the sensor network and discard useless sensor data to recognize the three typical structure states. Through collaboration, the static load happened in the edge area between two adjacent substructures is monitored successfully and the influence from environment parameters can be eliminated.
(5) In the research the mobile agent cooperation technology is presented to optimize the realization performance. The efficiency of the technology is embodied through the verification instance.
论文的主要工作和创新性成果如下:
(1)研究了多主体协作结构健康监测系统的理论基础及构造原理。研究了主体BDI模型;从思考型主体、反应型主体、混合型主体中选取设计了不同主体的结构;研究了主体间的通信语言KQML;采用结合网状结构和层次结构优点的复合结构,设计了多主体协作结构健康监测系统的体系结构。
(2)提出了多主体协作结构健康监测系统的构造过程,建立了多主体协作结构健康监测系统框架。建立了7类健康监测系统智能主体及确立了主体间的协作、协调、协商机制;提出采用本体设计规范系统中概念间的关系;采用推进器(Facilitator)设计作为主体间的桥梁作用,实现了主体之间真正自主地、有效地协作。
(3)提出在多主体协作结构健康监测系统中采用黑板协作方法解决单个损伤评估主体不能解决的难题,采用信息融合中的D-S证据方法解决结果冲突问题;提出采用功能精确的协同方法作为子系统间的协作方法,在子系统间设立共享信息管理主体,建立分布式数据库为当地子系统提供服务,并通过子系统间信息共享的方式协同解决大型结构健康监测工作。
(4)将多主体协作健康监测系统应用于大型平板结构,针对三种典型监测对象:应变分布、螺钉松动、冲击载荷进行了分布式监测、协作功效、健康监测功效等系统功能的实验验证。提出采用基于案例的推理(CBR)技术作为诊断主体的协调机制,提出采用循环激励-依次传感方案解决大型结构中的螺钉松动监测问题。验证系统通过主体协作可自动判别监测对象,实现不同类传感器的选取和自组网络、通过协作自动选取合适的不同传感器的信号和信息处理方法,解决了边界监测问题、消除环境干扰、自动判别多个子监测区域中的上述三种典型监测问题。
(5)初步提出采用移动主体协作技术进一步优化多主体协作结构健康监测系统的性能,并结合验证实例阐述了移动主体协作的有效性。
Structural health monitoring (SHM) technology is a research fucus in the engineering and academic domain. Much progress has been made in many aspects. However, using the technology on large practical structures, integration work must be solved in practice efficiently. Since density and different kinds of sensors have to be adopted to have a reliable monitoring of large scale engineering structures, the sensor information obtained by different sensors at different sites is distributed, diverse and heterogeneous. To coordinate and manage the distributed sensor monitoring network effectively, in this dissertation the multi-agent technology in Artificial Intelligence (AI) area is researched for SHM. Multi-agent cooperative system based SHM is developed. To evaluate the efficiency of the system, the function verification is conducted on a plate structure. In the research the mobile agent cooperation technology is also proposed to optimize the realization performance. The objective of the research is to promote the development of SHM technology in practical application.
The main works and novel researched performed in this dissertation include:
(1) The theory and construction principle of the multi-agent cooperative system based SHM are researched. BDI model of agent is researched. According to the deliberative agent, reactive agent and hybrid agent, different architectures are chosen to design different agents. KQML as the agent communication language is investigated. The architecture of the multi-agent cooperative system based SHM is designed adopting the composite architecture combing the advantages of network architecture and layed architecture.
(2) The detailed process of constructing the multi-agent cooperative based SHM is presented. A general framework of the multi-agent cooperative system based SHM is developed. Seven kinds of health monitoring agents are designed and the cooperation, coordination and negotiation mechanism are estabished. The ontology design is presented to normalize the relationship of the concepts in the system. Facilitator design is adopted to act as the bridge among the agents. The work above realizes the automatic and effective cooperation in the system.
(3) The blackboard model is proposed to solve the problem that the single damage evaluation agent can not deal with. An information fusion method on D-S evidence theory is adopted to solve the diagnosic result conflict problem. Functionally Accurate, Cooperative method is presented as the effective cooperation way among the subsystems. Sharing Information Management Agent (SIMA) is designed for every subsystem and the distributed database is estabished to provide information service for local subsystem and external information sharing. The subsystems exchange the results with each other by SIMA and cooperate together to realize the large structural health monitoring work.
(4) The experimental verification is conducted on a large plate to validate the efficiencies of the system including the distributed monitoring, cooperation function and health monitoring for three typical kinds of structure states including strain distribution, bolt loosening and the impact load. Case-based reasoning (CBR) technology is presented as the effective coordination mechanism of diagnostic agents. Circular actuating/sensing in turn technology is proposed to monitor the bolt loosening for the large structure. Through the cooperation of different agents, the whole verification system can automatically choose sensing object, choose suitable signal processing method and damage evaluation method, self-organize the sensor network and discard useless sensor data to recognize the three typical structure states. Through collaboration, the static load happened in the edge area between two adjacent substructures is monitored successfully and the influence from environment parameters can be eliminated.
(5) In the research the mobile agent cooperation technology is presented to optimize the realization performance. The efficiency of the technology is embodied through the verification instance.
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