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设备故障诊断技术在现代社会的应用越来越广泛 ,其应用对象多处于动态多变环境。现有的诊断软件尚不能适应这样的复杂环境。智能 agent是目前人工智能领域的研究热点之一。随着网络技术的成熟 ,实用型的智能 agent系统越来越多地应用于各个领域。本文根据故障诊断系统的实际要求 ,提出并初步实现了基于 agent的故障诊断系统。这进一步提高了诊断系统的自动化程度 ,较好地解决了诊断软件的通用性和适应性之间的矛盾。本文提出的诊断 agent系统能很方便地应用于各种网络环境 ,从而可以更充分地利用已有的诊断资源 ,便于构造大型诊断系统。
The application of equipment fault diagnosis technology in modern society is more and more widely, and its application objects are mostly in a dynamic and changeable environment. The existing diagnostic software is not yet able to adapt to such a complex environment. Intelligent agent is one of the hot spots in the field of artificial intelligence. With the maturity of network technology, practical intelligent agent systems are increasingly used in various fields. According to the actual requirements of fault diagnosis system, this paper proposes and initially implements the fault diagnosis system based on agent. This further improves the degree of automation of the diagnostic system and resolves the contradiction between the commonality and adaptability of diagnostic software. The diagnostic agent system proposed in this paper can be easily applied to various network environments, so that the available diagnostic resources can be fully used to construct a large-scale diagnostic system.