DISTRIBUTED SMART GRID PROCESSING
    1.
    发明申请
    DISTRIBUTED SMART GRID PROCESSING 审中-公开
    分布式智能网格处理

    公开(公告)号:US20150255983A1

    公开(公告)日:2015-09-10

    申请号:US14643978

    申请日:2015-03-10

    Abstract: Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network, including voltage fluctuations, current levels, temperature data, humidity measurements, and other observable physical quantities. The nodes execute stream functions to process the recorded time series data and generate data streams. The node is configured to transmit generated data streams to neighboring nodes. A neighboring node may execute other stream functions to process the received data stream(s), thereby generating additional data streams. A server coupled to the wireless mesh network collects and processes the data streams to identify events occurring within the network.

    Abstract translation: 无线网状网络中的节点被配置为监视与公用事业网络相关联的时间序列数据,包括电压波动,电流电平,温度数据,湿度测量和其他可观察到的物理量。 节点执行流功能来处理记录的时间序列数据并生成数据流。 该节点被配置为将生成的数据流发送到相邻节点。 相邻节点可以执行其他流功能来处理所接收的数据流,从而生成附加的数据流。 耦合到无线网状网络的服务器收集和处理数据流以识别在网络内发生的事件。

    DISTRIBUTED SMART GRID PROCESSING
    2.
    发明申请
    DISTRIBUTED SMART GRID PROCESSING 审中-公开
    分布式智能网格处理

    公开(公告)号:US20150256387A1

    公开(公告)日:2015-09-10

    申请号:US14643993

    申请日:2015-03-10

    Abstract: Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network (or any other device network). One or more servers coupled to the wireless mesh network configures a data ingestion cloud to receive and process the time series data from the nodes to generate data streams. The server(s) also configure a distributed processing cloud to perform historical analysis on data streams, and a real-time processing cloud to perform real-time analysis on data streams. The distributed processing cloud and the real-time processing cloud may interoperate with one another in response to processing the data streams. Specifically, the real-time processing cloud may trigger a historical analysis on the distributed processing cloud, and the distributed processing cloud may trigger real-time processing on the real-time processing cloud. Any of the processing clouds may encompass edge nodes configured to perform real-time processing and generate data streams.

    Abstract translation: 无线网状网络中的节点被配置为监视与公用事业网络(或任何其他设备网络)相关联的时间序列数据。 耦合到无线网状网络的一个或多个服务器配置数据摄取云以从节点接收和处理时间序列数据以生成数据流。 服务器还配置分布式处理云,对数据流进行历史分析,并配置实时处理云,对数据流进行实时分析。 响应于处理数据流,分布式处理云和实时处理云可以彼此互操作。 具体来说,实时处理云可能会触发分布式处理云的历史分析,分布式处理云可能会触发实时处理云的实时处理。 任何处理云可以包括被配置为执行实时处理并生成数据流的边缘节点。

    DETERMINING ELECTRIC GRID TOPOLOGY VIA A ZERO CROSSING TECHNIQUE
    3.
    发明申请
    DETERMINING ELECTRIC GRID TOPOLOGY VIA A ZERO CROSSING TECHNIQUE 有权
    通过零交叉技术确定电网拓扑

    公开(公告)号:US20150253367A1

    公开(公告)日:2015-09-10

    申请号:US14586536

    申请日:2014-12-30

    Abstract: A node within a wireless mesh network is configured to record a zero crossing of alternating current or alternating voltage drawn by a single-phase power consumer and a precise timestamp when the zero crossing occurred, thereby generating timestamped zero crossing data. The node receives similar zero crossing data from a neighboring node. The node then compares the timestamped zero crossing data with the received zero crossing data to determine whether the phase associated with the node is equivalent to, leads, or lags the phase associated with the neighboring node. The node then acquires a positive phase identification associated with the neighboring node. Based on the phase identification, and based on the phase difference between the two nodes, the node infers the phase associated with the single-phase power consumer. That phase indicates the specific power line within a three-phase power distribution network to which the single-phase power consumer is coupled.

    Abstract translation: 无线网状网络内的一个节点被配置为记录由单相电力消费者牵引的交流电或交流电压的过零点,并且当过零点发生时记录精确的时间戳,由此产生时间戳的零交叉数据。 该节点从相邻节点接收类似的过零数据。 然后,节点将时间戳零交叉数据与接收到的过零数据进行比较,以确定与节点相关联的相位是否等于,引导或滞后于与相邻节点相关联的相位。 然后,节点获取与相邻节点相关联的正相位识别。 基于相位识别,并且基于两个节点之间的相位差,节点推断与单相电力消费者相关的相位。 该阶段指示单相电力消费者耦合到的三相配电网络内的特定电力线。

    DISTRIBUTED SMART GRID PROCESSING
    4.
    发明申请

    公开(公告)号:US20150256435A1

    公开(公告)日:2015-09-10

    申请号:US14644003

    申请日:2015-03-10

    Abstract: Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network (or any other device network). One or more servers coupled to the wireless mesh network configures a data ingestion cloud to receive and process the time series data from the nodes to generate data streams. The server(s) also configure a distributed processing cloud to perform historical analysis on data streams, and a real-time processing cloud to perform real-time analysis on data streams. The distributed processing cloud and the real-time processing cloud may interoperate with one another in response to processing the data streams. Specifically, the real-time processing cloud may trigger a historical analysis on the distributed processing cloud, and the distributed processing cloud may trigger real-time processing on the real-time processing cloud. Any of the processing clouds may encompass edge nodes configured to perform real-time processing and generate data streams.

    DISTRIBUTED SMART GRID PROCESSING
    5.
    发明申请

    公开(公告)号:US20150256433A1

    公开(公告)日:2015-09-10

    申请号:US14643985

    申请日:2015-03-10

    Abstract: Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network, including voltage fluctuations, current levels, temperature data, humidity measurements, and other observable physical quantities. The nodes execute stream functions to process the recorded time series data and generate data streams. The node is configured to transmit generated data streams to neighboring nodes. A neighboring node may execute other stream functions to process the received data stream(s), thereby generating additional data streams. A server coupled to the wireless mesh network collects and processes the data streams to identify events occurring within the network.

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