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Management of parameters of the functioning of engineering systems of the building object based on algorithmic data analysis

机译:基于算法数据分析的建筑物对象工程系统功能的参数管理

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This article presents two types of data analysis, that can be used for processing building management data. Classical and intellectual. Classical analysis presents hard preset algorithmic data analysis, that can be more useful if structure of data is homogeneous and cannot be changed. Intellectual data analysis can be used if we have extremely large unstructured data sets. Data mining is becoming more and more relevant in modern world. Also, this paper presents an example of possible simple data storage in relational database Oracle and getting values from low-level devices method. The information obtained as a result of the data analysis(mostly intellectual) can be used for predicting future deviations and developing warning correcting algorithms, optimization and synchronization of building systems, development, research, construction of models, testing and pilot operation of the best scenarios of interaction between the building's engineering systems and the impact of these scenarios on the life cycle of the building.
机译:本文介绍了两种类型的数据的分析,可以用于处理楼宇管理数据。古典和智力。经典分析呈现硬预设算法数据分析,如果数据的结构是均匀的,并且不能被改变,可以是更加有用。如果我们有非常大的非结构化数据集知识产权的数据分析可以使用。数据挖掘正逐渐成为现代世界上越来越多有关。此外,本文提出的可能的简单的数据存储在关系数据库中的Oracle和得到的值从低级别装置的方法的示例。作为数据分析(主要是知识产权)的结果获得的信息可用于预测未来的偏差和发展预警纠错算法,优化和构建系统,开发,研制,机型结构,最好的情况的测试和试运行的同步该建筑的工程系统和这些方案对建筑物的生命周期的影响之间的相互作用。

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