建筑材料挥发性污染物散发信息自动预测方法  

Automatic Prediction Method of Volatile Pollutants Emission Information from Building Materials

作　　者：唐艳芝 TANG Yan-zhi(Nantong Open University Institute of Architectural Engineering,Jiangsu Nantong 226000,China)Abstract:)

机构地区：[1]南通开放大学建筑工程学院,江苏南通226000

出　　处：《新一代信息技术》2019年第18期33-38,共6页New Generation of Information Technology

基　　金：国家自然科学基金面上项目“累积残损变形对古建筑木结构力学性能的影响”(项目编号:51878034)。

摘　　要：以往预测方法受到外界因素干扰,导致预测精准度较低,为了避免早期方法给人体健康造成的威胁,提出了建筑材料挥发性污染物散发信息自动预测方法。收集建筑材料最常出现的氨、甲醛、苯系物等挥发性污染信息,确定建筑构造和材料使用情况,获取各自散发特点。通过计算机对收集到的各种数据进行格式统一化处理,转换成内部文件形式,将预处理结果作为样本信息,利用自适应推理算法,分析推理处理过程,并建立推理机制,输出预测结果,由此完成挥发性污染物散发信息自动预测。通过实验对比结果可知,该方法最高预测精准度可达到98.3%,为人体健康安全提供保障。Previous prediction methods were disturbed by external factors,which led to low prediction accuracy.In order to avoid the threat of early methods to human health,an automatic prediction method of volatile pollutant emission information from building materials was proposed.The volatile pollution information such as ammonia,formaldehyde and benzene series,which are the most common building materials,are collected to determine the building structure and the use of materials,and to obtain their respective emission characteristics.The data collected are processed by computer in a unified format and converted into internal file format.The pre-processed results are taken as sample information.The process of reasoning is analyzed by using adaptive reasoning algorithm,and the reasoning mechanism is established to output the predicted results.Thus,the information of volatile pollutant emission can be predicted automatically.The experimental results show that the maximum prediction accuracy of this method can reach 98.3%,which provides a guarantee for human health and safety.

关 键 词：建筑材料 挥发性污染物 散发信息 自动预测 自适应推理 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]