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    • 1. 发明公开
    • 통합 관리 서버 및 이를 이용한 건물 관리 시스템
    • 综合管理服务器和建筑管理系统
    • KR1020140119930A
    • 2014-10-13
    • KR1020130034449
    • 2013-03-29
    • 삼성에스디에스 주식회사
    • 안평길백운학오민환유창준
    • G06Q50/10
    • G06Q50/10
    • Disclosed are an integrated management server and a building management system using the same. The building management system according to an embodiment of the present invention includes: multiple data collectors which collect measurement data from measurement means installed in each building; a building management agent which receives measurement data from the data collectors, generates aggregate process data or statistical process data by processing the aggregation or statistics of the received measurement data, and transmits at least one among the measurement data, the aggregate process data, and the statistical process data; and the integrated management server which receives at least one among the measurement data, the aggregate process data, and the statistical process data from the building management agent and infers the state of a building by using at least one among the received measurement data, the received aggregate process data, and the received statistical process data.
    • 公开了一种综合管理服务器和使用其的建筑物管理系统。 根据本发明的实施例的建筑物管理系统包括:多个数据收集器,其从安装在每个建筑物中的测量装置收集测量数据; 从数据收集器接收测量数据的建筑物管理代理,通过处理接收到的测量数据的聚合或统计来生成聚合过程数据或统计过程数据,并且传送测量数据,聚合过程数据和 统计过程数据; 以及综合管理服务器,其从所述建筑物管理代理接收所述测量数据,所述合成处理数据和所述统计处理数据中的至少一个,并且通过使用所接收的测量数据中的至少一个来推断建筑物的状态 聚合过程数据和接收到的统计过程数据。
    • 4. 发明公开
    • 시계열의 데이터를 예측 하는 방법 및 그 장치
    • 用于预测时间序列数据的方法和设备
    • KR1020170078256A
    • 2017-07-07
    • KR1020150188595
    • 2015-12-29
    • 삼성에스디에스 주식회사
    • 권순환김형찬오규삼서범준김성희오민환유창준
    • G06F17/30G06F17/00G06N7/00
    • 시계열데이터예측방법이제공된다. 본발명의일 실시예에따른시계열데이터예측방법은 i) 트레이닝기간동안의기 지정된주기단위의측정치시계열데이터를복수의클러스터로클러스터링하는단계, ii) 상기트레이닝기간동안의복수의환경데이터를수집하는단계, iii) 상기복수의환경데이터중 적어도일부를인자(factor)로선택하는단계, iv) 상기인자를가리키는축들로구성되는공간또는평면상에서상기측정치시계열데이터의클러스터를최적으로분류하는분류모델을생성하는단계, 상기생성된분류모델의성능지표값을결정하는단계, 상기인자로선택하는단계, 상기분류모델을생성하는단계및 상기성능지표값을결정하는단계를, 상기인자의선택을변경해가면서반복하여, 상기성능지표값을기준으로상기생성된분류모델중 최적분류모델을선정하는단계, v) 상기최적분류모델을이용하여, 예측기간의상기측정치시계열데이터의클러스터를예측하는단계를포함한다.
    • 提供了一种时间序列数据预测方法。 根据本发明的一个实施例的时间序列预测方法包括)训练周期指定的组对于i的周期单位所测量的时间序列数据聚类成多个簇,ⅱ)在训练期间收集多个的环境数据的步骤 相,ⅲ)分类最好归类为测量时间序列数据在空间或由选择娇小至少所述多个环境数据中的一部分因子(因子)的步骤的一个平面上的簇,iv)所述轴指向因子模型 确定所生成的分类模型的性能指标值;选择所述因子;生成所述分类模型;以及通过改变对所述因素的选择来确定所述性能指标值 基于性能指标值在所生成的分类模型中选择最优分类模型,以及v)使用最优分类模型进行计算 而政治预测的时间序列数据的集群的步骤。
    • 5. 发明公开
    • 에너지 사용량 예측 시스템 및 방법
    • 用于预测能源消耗的系统和方法
    • KR1020140116619A
    • 2014-10-06
    • KR1020130031377
    • 2013-03-25
    • 삼성에스디에스 주식회사
    • 유창준안평길이광철김지훈
    • G06F19/00G06F17/18
    • G01R11/00G06F17/18
    • A system and a method to predict energy consumption are disclosed. According to an embodiment of the present invention, the energy consumption prediction system comprises: a data collecting module to collect energy consumption data of a specific area over a period of time; a regression analysis module to perform regression analysis between the collected energy consumption and temperature data for a predetermined period; a time series analysis module to perform time series analysis between the collected energy consumption and the temperature data for the predetermined period using at least one time series analysis model; a prediction module to calculate prediction suitability in accordance to the regression analysis, and predict energy consumption of the area using the regression analysis result or the time series analysis result in accordance to the calculated prediction suitability.
    • 公开了一种预测能量消耗的系统和方法。 根据本发明的实施例,能量消耗预测系统包括:数据采集模块,用于在一段时间内收集特定区域的能量消耗数据; 回归分析模块,用于在所收集的能量消耗和温度数据之间执行预定时段的回归分析; 一个时间序列分析模块,用于使用至少一个时间序列分析模型对所收集的能量消耗与预定时段的温度数据进行时间序列分析; 根据回归分析计算预测适用性的预测模块,并根据计算出的预测适应性,使用回归分析结果或时间序列分析结果预测该区域的能量消耗。
    • 6. 发明公开
    • 상태 진단 시스템 및 방법
    • 用于诊断状态的系统和方法
    • KR1020140055311A
    • 2014-05-09
    • KR1020120121952
    • 2012-10-31
    • 삼성에스디에스 주식회사
    • 공정민오규삼김형찬유창준
    • G06F19/00G06F11/22
    • Disclosed are a system and a method of diagnosing a status. The system for diagnosing the status according to an embodiment of the present invention includes an inference model generating unit for generating an inference model including nodes having at least one conditional equation by using data collected for a predetermined period of time and status values according to the collected data; an inference model correcting unit for correcting an inference model to improve the precision of the inference model; and a status inferring unit for inferring a status value for each data input by substituting input data into the corrected inference model.
    • 公开了一种诊断状态的系统和方法。 根据本发明的实施例的用于诊断状态的系统包括推理模型生成单元,用于通过使用根据所收集的预定时间段收集的数据和状态值来生成包括具有至少一个条件方程式的节点的推理模型 数据; 推理模型校正单元,用于校正推理模型以提高推理模型的精度; 以及状态推断单元,用于通过将输入数据代入校正推理模型来推断每个数据输入的状态值。