基于行为语言的家居服务引擎的构建

发布时间：2018-04-30 01:14

本文选题：智能家居 + 行为语言C+　；参考：《吉林大学》2017年硕士论文

【摘要】：随着人们生活水平的提高,人们对家居环境智能化的要求也越来越高,而智能家居作为家居智能化的产物,深受人们的喜爱。但现有的智能家居系统控制方式单一,其采用一种单一的机械式的自动化模式,系统只能根据预先设定的控制方式重复的执行一些简单的控制命令,不能结合用户的意愿及需求给用户提供个性化的服务,也不能根据周围环境的变化而做出相应的改变。另外,现有的智能家居产品操作复杂,尤其对学习能力较弱的老人和小孩来说,使用起来无疑是一种负担。种种因素导致其智能性不够,用户体验差。本文针对以上问题,在无线传感器技术的基础上,提出一种能融合用户需求信息、环境信息以及常识知识的新颖的解决方案。为了融合用户需求、环境信息以及常识知识三方面的知识,并最终实现家居环境的自主调控,本文以家居环境为背景,构建一个能够基于知识进行逻辑推理的智能推理引擎。本文所实现的推理引擎能够在多用户的状态下进行目标环境参数的决策,并基于所求取的目标参数进行推理,得到合理的调控动作,最终完成自主调控。家居环境的自主调控问题实际可以抽象为对调控动作进行合理规划的问题,为了简便的表征及求解这种动作规划问题,本文引进一种新型的程序设计语言—行为语言C+来对不同类型的知识进行表征。首先,构建家居环境形式化表征模型,对家居环境中的类、对象以及调控动作等进行声明;之后基于常识知识,利用所声明的符号对所要实现的多用户下目标决策问题、环境调控问题(包括温度调控和光强调控)进行主体规则的表征。为了实现基于用户的需求进行推理,本文建立一种对应规则,在用户的需求与调控动作之间建立一种一一对应关系,这样就可以以无线传感器收集到的室内外环境信息为基础,以用户的偏好信息为目标,利用cplus2asp系统针对C+语言所编写的主体规则进行推理,得到满足用户需求的调控策略,得到的调控动作经过适配模块转换为网关可识别的控制命令,最终实现控制家居设备的目的。最后,本文以用户需求为节能为例,在本机上针对不同种情况进行测试,并给出推理结果,之后在实验室中进行模拟测试,进一步验证推理引擎的可行性。
[Abstract]:With the improvement of people's living standards, the demands for intelligent home environment are becoming higher and higher, and intelligent home as a product of home intelligence is very popular. However, the existing intelligent home system control mode is single, it adopts a single mechanized model, and the system can only be controlled in advance. Some simple control commands are executed repeatedly, which can not provide personalized service to users with the wishes and needs of the users, nor can they be changed according to the changes in the surrounding environment. In addition, the operation of existing smart home products is complicated, especially for the elderly and children with weak ability to learn. It is a kind of burden. All kinds of factors lead to lack of intelligence and poor user experience. On the basis of wireless sensor technology, this paper puts forward a novel solution which can fuse user needs information, environmental information and common sense knowledge on the basis of wireless sensor technology. In order to integrate the knowledge of user needs, environmental information and common sense knowledge, three aspects of knowledge are integrated. In the background of home environment, this paper constructs an intelligent reasoning engine based on the background of home environment. The reasoning engine can make the decision of the target environment parameters in the multi user state, and the reasoning is based on the target parameters obtained, and the reasoning engine is reasonable. In order to easily characterize and solve this kind of action planning problem, a new programming language, behavioral language C+, is introduced to characterize different types of knowledge. First, build a formal representation model of home environment, declare the class, object and control action in the home environment; then based on common sense knowledge, use the declared symbol to represent the multi-user target decision problem, the environmental regulation and control problem (including temperature control and light intensity regulation). Based on the user's requirement, a corresponding rule is set up to establish a one-to-one correspondence between the user's requirement and the control action, which can be based on the indoor and outdoor environment information collected by the wireless sensor, aiming at the user's preference information and using the cplus2asp system for the master written in the C+ language. The body rule makes the reasoning, and gets the control strategy that satisfies the user's demand. The control action obtained by the adaptive module is converted to the recognizable control command of the gateway, and finally the purpose of controlling the home equipment is achieved. Finally, this paper takes the user's demand as the example of energy saving, and tests the different kinds of circumstances on the machine, and then gives the reasoning result. After that, the reasoning result is given. After that, the reasoning result is given. After that, the reasoning result is given. After that, the reasoning result is given. After that, the reasoning result is given. After that, the reasoning result is given. After that, the reasoning result is given. After that, the reasoning result is given. After that, the reasoning result is given. After that, the reasoning result is given. After that, the reasoning result is given. After that, the reasoning result is given. After that, the reasoning result is given The simulation test is carried out in the laboratory to further verify the feasibility of the inference engine.

【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU855;TP311.52

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