An information processing apparatus for controlling a plurality of nodes mutually coupled via a plurality of cables, the apparatus includes: a memory; a processor coupled to the memory, the processor being configured to cause a first node to execute first processing to extract coupling relationship between the plurality of nodes, the first node being one of the plurality of nodes, being sequentially allocated from each of the plurality of nodes, the first processing including executing allocation processing that allocates unique coordinate information to the first node and allocates common coordinate information to nodes excluding the first node; executing transmission processing that causes the first node to transmit first information to each of the cables coupled to the first node; and executing identification processing that identifies a node having received the first information as neighboring node coupled to one of the plurality of cables coupled to the first node.

Various embodiments of the present technology generally relate to power topology discovery in industrial environments. More specifically, some embodiments relate to automatic power topology discovery for factories based on device data that is already recorded for other purposes. Systems and methods described herein may be used to generate an accurate electrical network topology by collecting power data from power devices that may provide real-time or recorded measurements, detecting power change events, and matching power change signatures over power events for the devices in order to calculate the likelihoods of possible topology assumptions. Power change event data is used to recursively update topology probabilities using the Bayesian formula until a system topology can be produced with satisfactory confidence.

Systems, methods, and other embodiments associated with identifying mismappings of electric meters using voltage data are described. In one embodiment, a method includes selecting an electric meter from a plurality of electric meters represented in a connectivity model. The connectivity model is an electronic data structure that specifies information about connections between the plurality of electric meters and transformers in an electric distribution grid. The example method may also include analyzing mismapping metrics that characterize voltage data about the selected electric meter in relation to a set of electric meters that are geographically related to the selected electric meter to determine whether the connectivity model includes a mismapping of the selected electric meter.

Various embodiments of the present technology generally relate to power topology discovery in industrial environments. More specifically, some embodiments relate to automatic power topology discovery for factories based on device data that is already recorded for other purposes. Systems and methods described herein may be used to generate an accurate electrical network topology by collecting power data from power devices that may provide real-time or recorded measurements, detecting power change events, and matching power change signatures over power events for the devices in order to calculate the likelihoods of possible topology assumptions. Power change event data is used to recursively update topology probabilities using the Bayesian formula until a system topology can be produced with satisfactory confidence.

A computer implemented method implemented on a computer system includes non-transient memory storing instructions for configuring a plurality of district metering areas within a utility supply network. The method includes identifying a plurality of flow measurement devices, wherein each flow measurement device is connected by a directional connection to at least one other flow measurement device, generating a utility supply network representation based on the directional connections between the flow measurement devices, and generating a plurality of district metering areas for the utility supply network representation, each district metering area being a directed acyclic graph based on the directional connections and including a subset of the plurality of flow measuring devices and including at least one flow measurement device designated as a supply meter, at least one flow measurement device designated as a demand meter and at least one calculated flow measurement determined based on the flow measurements of the at least one supply meter and the at least one demand meter.

A computer-implemented system for determining the effect of a change is a utility system based on streamed meter data is described. The system includes a metering analytics system configured to receive a stream of meter data received from sensors in or in proximity with utility meters in a utility monitoring system, the meter data being generated by the sensors and a central event management system for identifying an effect of modification to the utility monitoring system in the streamed meter data based on a plurality of sequential meter reads in the streamed meter data. The central event management system is configured to receive a change notification including change time, identify a meter associated with the change notification, monitor read messages in the streamed meter data to identify a first read message for a watched meter received following the change time, and determine a change effect for the meter based on at least a second read message in the streamed meter data.

A computer-implemented system for validating meter data in a utility monitoring system based on streamed sensor data is described. The system includes a metering analytics system configured to receive a stream of meter data received from sensors in or in proximity with utility meters, the meter sensor data being generated by the sensors and a central event management system for validating meter sensor data in the streamed sensor data based on a plurality of sequential sensor reads in the streamed sensor data. The central event management system is configured to receive an invalidation event definition defining a sensor value usage invalidation threshold, apply the invalidation event definition to read messages received through the streamed sensor data, monitor read messages in the streamed sensor data to identify a first read message for a watched meter, and identify an invalid meter satisfying the invalidation event definition based upon receipt of at least a second read message for the violating meter indicating that the meter sensor data is outside of a defined range for the sensor value usage invalidation threshold range.

A method for downloading software to a plurality of meters (M1, M2, . . . , MN) via a plurality of data concentrators (DC A, DC B, . . . ) includes the steps of: mapping the positions of the meters and of the data concentrators; defining a plurality of subnetworks, each comprising data concentrators; associating each subnetwork with a downloading date comprising, the downloading date of each subnetwork being different from the downloading dates of the other subnetworks; transmitting to the data concentrators of each subnetwork the downloading date associated with said subnetwork so that, when the downloading date associated with said subnetwork is reached, all of the data concentrators of said subnetwork download the software to all of the meters that are positioned within communication range of the data concentrators of said subnetwork.

A computer implemented method for selecting an appropriately sized meter for use in a selected application implemented by a computer processor implementing instructions stored in a non-transient memory is described. The instructions include receiving utility meter data transmitted from a plurality of utility meters, each utility meter being installed at a unique utility monitoring location, identifying incorrectly sized utility meters based on utility meter data for particular utility meters that displays quantization effects, and selecting an appropriate meter based on the identification of the utility meters displaying quantization effects.

An information processing apparatus for controlling a plurality of nodes mutually coupled via a plurality of cables, the apparatus includes: a memory; a processor coupled to the memory, the processor being configured to cause a first node to execute first processing to extract coupling relationship between the plurality of nodes, the first node being one of the plurality of nodes, being sequentially allocated from each of the plurality of nodes, the first processing including executing allocation processing that allocates unique coordinate information to the first node and allocates common coordinate information to nodes excluding the first node; executing transmission processing that causes the first node to transmit first information to each of the cables coupled to the first node; and executing identification processing that identifies a node having received the first information as neighboring node coupled to one of the plurality of cables coupled to the first node.