对提高建筑性能的需求的增加正在成为一项具有挑战性的任务，尤其是在建筑运营阶段。这种情况下，需要为建筑物运行开发新的过程控制，以实现完全智能化的建筑物的目标，该建筑物能够动态响应内部和外部扰动，从而为建筑物居住者创造舒适条件。不可预测的用户行为、不断变化的天气条件、资源消耗和生产之间的不匹配、主动和被动气候的运行- 控制系统是影响建筑物行为的因素，因此需要实时使用智能控制决策。这些智能控制决策直接影响到建筑的能效和居住者的热舒适性。要实现智能建筑的实时智能控制决策，需要在建筑施工的各个方面进行突破性的创新和进步。在实现预期目标的过程中，人工智能技术的应用将非常有用，尤其是多智能体系统，它已显示出改善建筑物运行控制的巨大潜力。 到目前为止，智能代理在楼宇管理系统中还没有任何真正的应用，然而，在现有楼宇管理系统的基础上使用多代理系统进行的现场测试表明，对于楼宇管理系统和网格之间的联合协作，是一种很有前途的方法。进一步的发展是，除了现有的建筑管理功能外，还将实施舒适管理与能源优化相结合的MAS结构。本文结合一个建筑能源管理系统，提出了一个开放式多智能体平台的本体。 引文:美国丹佛市ASHRAE会议论文

The increase in demand for enhanced building performance is becoming a challenging task to fulfill especially during buildings operational phase. This situation creates the need for the development of new process controls for buildings operations to achieve the goal of a completely intelligent building which is able to respond dynamically to internal and external perturbations in order to foster comfort conditions for the building occupants. Unpredictable user-behavior, changing weather conditions, mismatch between consumption and production of resources, operation of active and passive climate-control systems are factors that affect buildings behavior hence requiring the use of intelligent control decisions in realtime. These intelligent control decisions directly affect the buildings energy efficiency and occupant thermal comfort The road towards intelligent control decisions in real time for intelligent buildings operation requires groundbreaking innovations and progress beyond the current state-of-the-art in various aspect of building construction. In achieving the desired goals, the application of AI techniques promises to be very useful, especially multi agent systems which has shown enormous potential for improving the operational control of buildings. Up until now, there has not been any real application of intelligent agents in building management systems, however field tests with multi agent systems on top of current building management systems has shown to be a promising approach for combined cooperation between building management systems and the Grid. A further development is to implement MAS structures for comfort management in combination with energy optimization as an addition to existing building management functionality. In this paper, an ontology for open multi agent platform in combination with a Building Energy Management System is presented.