公开(公告)号：US20160116512A1

公开(公告)日：2016-04-28

申请号：US14525544

申请日：2014-10-28

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： Young Min JI ,  Jeong Hoon KANG ,  Ho Jung LIM ,  Yoon Bong NAM

IPC: G01R21/00 ,  G01N33/00 ,  F24F11/00

CPC classification number: G01N33/004 ,  F24F11/30 ,  F24F11/47 ,  F24F2110/70 ,  F24F2120/10 ,  F24F2140/60 ,  G01R22/00

Abstract: A method and system for monitoring energy consumption is provided. The method for monitoring energy consumption estimates a number of people in a room based on an indoor CO2 concentration, and determines whether an amount of energy consumed indoors is proper or not based on the estimated number of people in the room. Accordingly, a waste of energy can be prevented by monitoring when a proper amount of energy is consumed in comparison with the number of people in a room. In addition, the number of people in the room can be easily estimated at low cost prior to determining whether energy consumption is proper or not.

Abstract translation: 提供了一种用于监测能量消耗的方法和系统。 用于监测能量消耗的方法基于室内CO 2浓度来估计房间中的一些人，并且基于估计的房间中的人数来确定室内消耗的能量是否适当。 因此，与室内的人数相比，可以通过监视消耗适量的能量来防止能量的浪费。 此外，在确定能量消耗是否适当之前，可以以低成本容易地估计房间中的人数。

公开(公告)号：US20240106728A1

公开(公告)日：2024-03-28

申请号：US18257121

申请日：2020-12-18

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： Jeong Hoon KANG ,  Hyo Sub CHOI ,  Changwoo KIM ,  Chulseoung CHAE

IPC: H04L43/0876 ,  H04L41/16

CPC classification number: H04L43/0876 ,  H04L41/16

Abstract: An on-device based data analysis system and a method are proposed. According to specific examples of the system and method, when a size of measurement data collected from sensors, processes, or various equipment according to a user request is greater than or equal to an upper limit of a predetermined range of an on-device resource usage rate, the collected measurement data is transmitted to a cloud server to perform noise removal, pre-processing, and analysis on the measurement data on a cloud-basis, and when the size of the measurement data is within the predetermined range of the on-device resource usage rate or is less than a lower limit, the noise removal, pre-processing, and analysis is performed on the measurement data on an on-device basis, so that distributed processing between the on-device processing device and the cloud server is performable, whereby loads on the cloud server may be reduced.