A method of managing a software update of a plurality of remote-reading terminals to be updated in a remote-reading installation comprising a plurality of access points and a management server is disclosed, The method may include steps of transmitting a message for planning reception of the update data to said plurality of remote-reading terminals to be updated, selecting a set of access points from among said plurality of access points in such a way as to limit the number of access points used to disseminate said update data, and sending said update data through said selected set of access points.

A network analyzer device, including a control unit configured to determine network topology information related to impedance mismatches in a voltage distribution network on the basis of an evaluation of measured signals received from the voltage distribution network in response to probe signals supplied to the voltage distribution network and/or phase or running time information about noise signal components generated by appliances connected to the voltage distribution network and received by the network analyzer via different receiving paths. The network analyzer device outputs network information related to impedance mismatches in the voltage distribution network, wherein the output network information contains information about a total number of the impedance mismatches, wiring lengths between impedance mismatches, and characteristics of the impedance mismatches.

Phasor Measurement Units (PMUs) tend to be specialized and expensiverelegated to only key points in power distribution networks, and are generally reliant on GPS technology. The present disclosure details how any smart meterusing wireless communicationcan perform sub-microsecond-grade synchrophasor measurements. Other aspects concern smart meter-based determination of A, B or C phase of the tri-phase power network. This can involve count-stamp enabling message packets sent to and/or from a smart meter, and then associating such count-stamps to local measurements of power phase by a metrology unit. Once a network of such enabled smart meters and other devices is formed, sub-microsecond metropolitan-wide and entire region-wide synchronizing time standard can calibrate local measurements of power phase, where simple A, B and C phase determination is one low hanging fruit application of such. Low cost aggregate monitoring of metropolitan-wide synchrophasors promises a next chapter of importance for that relatively recent art.

Disclosed are techniques to minimize the electricity consumption of battery powered devices during network communications and performance of other functions. Example techniques include efficiently discovering other mains powered and battery powered devices within communication range of the battery powered device. In another example, techniques enable a battery powered device to serve as a relay for one or more other battery powered devices. In another example, techniques ensure that transmissions to and/or from battery powered devices are delivered efficiently and with low latency. In yet another example, techniques determine whether and under what conditions a battery powered device should migrate from one network to another. In the event of migration, example techniques minimize battery consumption associated with the migration.

A method for automated topology discovery and management of meter nodes in a power grid is described. In the discovery mode any of the meter nodes is able to act as a proxy for a data concentrator to sort out the topology, and to determine the best path for communicating between a concentrator and each of the meter nodes.

Wireless devices are provisioned using multiple factors. As part of a wireless detection phase, multiple wireless communications are received that were transmitted by multiple wireless devices. Individual wireless devices are distinguished from each other among the multiple wireless devices based on a distinguishing feature of each of the multiple wireless communications to obtain a provisional set of wireless devices. As part of an electrical load detection phase, one or more wireless devices connected to an electrical power circuit are identified based on time-based measurements of electrical power consumed by electrical loads on the electrical power circuit and/or powerline communications received via the electrical power circuit. The provisional set of wireless devices obtained by wireless detection may be filtered to obtain a filtered set of wireless devices that excludes wireless devices of the provisional set not connected to the same electrical power circuit.

A voltage pattern analysis system and method may automate aspects of the process of mapping or assigning utility meters to a specific transformer or other distribution node by identifying misassociated meters and correcting a system-wide transformer assignment or distribution node assignment. When a meter's voltage signal does not correlate well with other meters' voltage signals on the same transformer, the meter is likely misassociated to that transformer. A pairwise voltage signal correlation may be computed for all meters assigned to a transformer and a voltage signal correlation for every transformer in the system, or a subset thereof, may be imputed. Individual meter correlations may then be compared with the transformer correlation. For meters identified as misassociation candidates, transformers or other distribution nodes within a specified radius may be considered for reassignment of the meter.

Wireless devices are provisioned using multiple factors. As part of a wireless detection phase, multiple wireless communications are received that were transmitted by multiple wireless devices. Individual wireless devices are distinguished from each other among the multiple wireless devices based on a distinguishing feature of each of the multiple wireless communications to obtain a provisional set of wireless devices. As part of an electrical load detection phase, one or more wireless devices connected to an electrical power circuit are identified based on time-based measurements of electrical power consumed by electrical loads on the electrical power circuit and/or powerline communications received via the electrical power circuit. The provisional set of wireless devices obtained by wireless detection may be filtered to obtain a filtered set of wireless devices that excludes wireless devices of the provisional set not connected to the same electrical power circuit.

Disclosed are various embodiments for confirming a tornado event has contacted the ground surface and generating a path prediction. Upon receipt of power outage alarms from metering devices, the Advance Metering Infrastructure (AMI) application can generate cluster areas based on the location of the metering devices. The AMI application can compare cluster area to a tornado pattern to determine if the cluster area has experienced a tornado. AMI application can determine a speed and a direction of the tornado event based on the location and a time stamp associated with the metering devices in the cluster areas.

A method for determining events in a network of consumption meters, in which an event is determined by grouping data wherein the event according to consumption meters which have detected this characterizing data. If groups of consumption meters match, this is determined as an event, the grouping being carried out according to the following criteriatemporal coincidence of the eventspatial concordance of the eventconsistency of the event type. The spatial concordance is determined by determining and ranking the Euclidean distance of each of a plurality of consumption meters to everyone of the of others of the plurality of consumption meters, and by assigning the n closest consumption meters that have detected this characterizing data to a group of consumption meters.