为了在实时图象处理系统中，实现并行环境下基于黑板模型的多知识源协同求解，从知识表示、推理方式、控制机制等方面介绍了智能所自行研制的一种图象理解专家系统工具语言--V语言（V.3版本）。该语言具有多种知识表示，采用数据驱动与模型驱动相结合的推理方式，由黑板对推理进行控制，知识库由多个知识源（分别存在有关模型的静态知识和各种图象处理算法）组成等特点。最后给出了针对水上桥梁一类的图象进行理解的具体实例。

The aim of this research is to realize multiple knowledge sources cooperation of problem solving in real time image processing system under parallel environment. This paper introduces a kind of expert system tool language for image understanding, V language (ver 3). The discussion of V.3 is concentrated on its knowledge representation, inference mode and control mechanism. In V.3, knowledge source is consisted of frames of typical object in image understanding, and is controlled by layered blackboard. The inference mode is mixture. Apart from these, several new ideas are also introduced. The object oriented frames present both the static knowledge (about the object) and the dynamic knowledge (methods/procedures using for image processing) at the same time. The post office may record and transmit messages between frames. Blackboard, served as control mechanism, is layered according to knowledge sources. At the end of this paper, an example, the recognition of bridge over water is discussed in detail.