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SYSTEM AND METHOD FOR OPTIMIZING ENERGY USE OF A STRUCTURE USING A CLUSTERING-BASED RULE-MINING APPROACH

机译:基于聚类的规则挖掘方法优化结构能源使用的系统和方法

摘要

A method of operating a heating ventilation and air conditioning (HVAC) system of a structure, includes collecting first sensor data corresponding to a parameter of the HVAC system, collecting second sensor data that is different than the first sensor data, and generating clustered data by clustering the first sensor data and the second sensor data into a plurality of data clusters with a controller. The method also includes forming a transactional dataset based on at least the first sensor data, the second sensor data, and the clustered data with the controller, performing association rule mining (ARM) on the transactional dataset to generate a plurality of rules for each data cluster of the plurality of data clusters with the controller, and changing an operating characteristic of the HVAC system based on the plurality of rules with the controller to optimize the parameter.
机译:一种操作结构的加热通风和空调(HVAC)系统的方法,该方法包括:收集与HVAC系统的参数相对应的第一传感器数据;收集与第一传感器数据不同的第二传感器数据;以及通过以下方法生成聚类数据:用控制器将第一传感器数据和第二传感器数据聚类为多个数据簇。该方法还包括与控制器至少基于第一传感器数据,第二传感器数据和聚类数据形成交易数据集,对交易数据集执行关联规则挖掘(ARM)以为每个数据生成多个规则使用控制器,将多个数据集群中的多个数据集群进行聚类,并使用控制器基于多个规则来改变HVAC系统的操作特性,以优化参数。

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