Distributed smart grid processing

    公开(公告)号:US10598709B2

    公开(公告)日:2020-03-24

    申请号:US14644003

    申请日:2015-03-10

    摘要: 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.

    System and method for multi-channel frequency hopping spread spectrum communication

    公开(公告)号:US10128900B2

    公开(公告)日:2018-11-13

    申请号:US15437415

    申请日:2017-02-20

    摘要: One embodiment of the present invention sets forth a technique for transmitting data in a frequency hopping spread spectrum (FHSS) wireless communication system. A multi-channel receiver is configured to receive data from one or more channels simultaneously. The multi-channel receiver enables efficient implementation of a transmission protocol in which multiple candidate nodes within a wireless mesh network are polled for availability to receive a packet of data. The packet of data is transmitted to one or more available nodes based on prevailing link conditions, thereby increasing the likelihood of successful delivery. Data flooding may be selectively implemented to further increase the likelihood of successful delivery.

    Distributed smart grid processing

    公开(公告)号:US10962578B2

    公开(公告)日:2021-03-30

    申请号:US14643985

    申请日:2015-03-10

    摘要: 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.

    Distributed smart grid processing

    公开(公告)号:US10809288B2

    公开(公告)日:2020-10-20

    申请号:US14643978

    申请日:2015-03-10

    摘要: 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.

    System and method for optimal listen before transmit in wireless communications

    公开(公告)号:US10390366B2

    公开(公告)日:2019-08-20

    申请号:US15057978

    申请日:2016-03-01

    摘要: One embodiment of the present invention sets forth a technique for transmitting data in a listen before talk (LBT) wireless transmission regime. A digital radio receiver is configured to simultaneously receive and decode digital data transmissions from multiple radio channels. A digital radio transmitter is configured to listen to the multiple radio channels prior to transmitting digital data on a selected one of the multiple channels, based on locally determined channel occupancy. Optimal LBT efficiency is achieved within the set of multiple channels, thereby improving overall transmission efficiency between the transmitter and the receiver.

    Techniques for managing heterogenous nodes configured to support a homogeneous communication protocol

    公开(公告)号:US10897763B2

    公开(公告)日:2021-01-19

    申请号:US15009711

    申请日:2016-01-28

    摘要: A wireless mesh network includes heterogeneous types of nodes, including continuously-powered nodes and battery-powered nodes. The battery-powered nodes may reside in a sleeping state most of the time to conserve power. The various nodes in the network may communicate with one another by transmitting and receiving at scheduled times and on scheduled frequencies. The battery-powered nodes may become active during the scheduled transmit and receive times. Network management nodes may facilitate network formation by transmitting information that reflects the scheduled transmit and receive times across the network. Based on this data, the continuously-powered nodes and battery-powered nodes may establish communication links with one another.

    Distributed smart grid processing
    10.
    发明授权

    公开(公告)号:US10151782B2

    公开(公告)日:2018-12-11

    申请号:US14643993

    申请日:2015-03-10

    摘要: 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.