Wireless power monitering receptacle and power management method thereof
    1.
    发明公开
    Wireless power monitering receptacle and power management method thereof 有权
    无线电力监控接收机及其电源管理方法

    公开(公告)号:KR20120077424A

    公开(公告)日:2012-07-10

    申请号:KR20100139370

    申请日:2010-12-30

    Abstract: PURPOSE: A wireless power monitoring receptacle and a power control method thereof are provided to prevent malfunction of a receptacle through automatic battery charge control and power consumption control according to the residual power of battery. CONSTITUTION: An AC input unit(110) receives AC power source from a connected receptacle. A relay switch(120) switches the electrical contact between the AC input unit and an AC output unit(130) and a charge unit(140). The AC output unit outputs the AC power source applied from the AC input unit through the relay switch to a connected electronic device. The charge unit charges a battery(150) with the AC power source applied through the relay switch from the AC input unit. The battery supplies power to a wireless communication module(160) which is connected to an external control system, a control unit which measures applied power to obtain the power consumption of the electronic device, and a display unit(170).

    Abstract translation: 目的:提供一种无线电力监控插座及其电源控制方法,以通过根据电池剩余电量的自动电池充电控制和功耗控制来防止插座故障。 构成:交流输入单元(110)从连接的插座接收交流电源。 继电器开关(120)切换AC输入单元与AC输出单元(130)和充电单元(140)之间的电接触。 交流输出单元通过继电器开关将从AC输入单元施加的交流电源输出到连接的电子设备。 充电单元通过从AC输入单元通过继电器开关施加的AC电源对电池(150)充电。 电池为连接到外部控制系统的无线通信模块(160)供电,测量应用电力以获得电子设备的功耗的控制单元和显示单元(170)。

    뉴럴 네트워크 학습을 이용한 시멘트 석회 소성 공정 온도 예측 시스템 및 방법
    2.
    发明公开
    뉴럴 네트워크 학습을 이용한 시멘트 석회 소성 공정 온도 예측 시스템 및 방법 审中-公开
    基于神经网络学习的水泥石灰烧结过程温度预测系统与方法

    公开(公告)号:KR20180022030A

    公开(公告)日:2018-03-06

    申请号:KR20160106798

    申请日:2016-08-23

    CPC classification number: B28B11/24 B28B17/00 C04B40/02 G05B19/418 G06N3/08

    Abstract: 뉴럴네트워크학습을이용한시멘트석회소성공정온도예측시스템및 방법이제공된다. 본발명의실시예에따른공정학습방법은, 공정에대한제어포인트데이터들을수집하고, 제어포인트들에의해결정되는공정데이터를수집하며, 제어포인트데이터들과공정데이터를학습하여제어포인트데이터들과공정데이터간의상관관계를추출한다. 이에의해, 뉴럴네트워크학습을이용하여, 시멘트석회소성공정온도를보다간편하고정확하게예측할수 있게된다.

    Abstract translation: 提供了一种使用神经网络学习来预测水泥石灰石煅烧过程中的温度的系统和方法。 根据本发明实施例的过程学习方法收集过程的控制点数据; 收集由控制点确定的过程数据; 并且学习控制点数据和处理数据以提取控制点数据和处理数据之间的相关性。 这样,通过使用神经网络学习,可以更简单和准确地预测水泥石灰烧制过程中的温度。

    Sensor network system and networking method thereof
    3.
    发明公开
    Sensor network system and networking method thereof 无效
    传感器网络系统及其网络方法

    公开(公告)号:KR20120077450A

    公开(公告)日:2012-07-10

    申请号:KR20100139403

    申请日:2010-12-30

    CPC classification number: H04W84/18 H04L12/28 H04W40/24 H04W40/32

    Abstract: PURPOSE: A sensor network system and a networking method thereof are provided to block loss of sensing data while sensing a sensor node in order to accurately sense environment data. CONSTITUTION: A collecting unit(120) broadcasts a sensing command. Sensor nodes receive the sensing command from the collecting unit. The sensor nodes perform sensing operation. The sensor nodes in a first section transmit sensing data to the collecting unit. The sensor nodes in a second section transmit sensing data to the collecting unit.

    Abstract translation: 目的:提供一种传感器网络系统及其联网方法,以便在感测传感器节点时阻止感测数据的丢失,以便准确地感测环境数据。 构成:收集单元(120)广播感测命令。 传感器节点从收集单元接收感测命令。 传感器节点执行感测操作。 第一部分中的传感器节点将感测数据传送到收集单元。 第二部分中的传感器节点将检测数据传送到收集单元。

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