A modem of a smart electricity meter obtains, following a registration in the powerline communication network of the ad hoc type, routing information and encryption information, by exchanges of messages in the powerline communication network. The smart electricity meter saves in non-volatile memory the routing information and the encryption information, the routing information being saved in association with information representing an instant at which the backup is made. At the time of a subsequent re-registration of the smart electricity meter following a disconnection of the powerline communication network, the smart electricity meter retrieves the routing and encryption information previously saved in the non-volatile memory, updates it by deleting any route information that is no longer valid, and uses it to communicate in the powerline communication network.

Embodiments of the present disclosure relate to a data transmission method and associated devices. In the method, data collected by at least one monitoring device in a substation is received at a gateway. Further, a status of a connection between the gateway and a first network is detected, where the first network enables communication between the gateway and a server. Further, in response to detecting a disconnection between the gateway and the first network, the data is sent to a user device via a second network hosted by the gateway to enable the user device to forward the data to the server.

A sensing system including: a sensor located in an external environment, including: an electrically powered sensor element sensing an environment variable and converting the sensing to a corresponding analog electrical value measure; an electrically powered sensor value conversion system connected to the electrically powered sensor and converting the analog electrical value measure to a digital measure, in addition to encoding the digital measure with sensor identification information; a transducer element for sending the sensed data information over an optical conduit for inputting an optical power signal and outputting optical sensed data information; a coupler splitting a first portion of the optical power signal to an energy storage system; and an energy storage system converting the first portion of the optical power signal into corresponding electrical energy and storing it for on demand usage; said electrically powered sensor value conversion system being supplied with electrical power from said energy storage system.

In some implementations, a sensor may determine a delay latency value associated with an amount of time from completion of a set of sensor tasks to an actual time of reception of a trigger to selectively transmit or sample sensor data. The sensor may calculate a deviation of the delay latency value from a target delay latency. The sensor may transmit a data frame including an indication associated with the deviation of the delay latency value from the target delay latency.

A leak in the membrane of a generally horizontal roof support deck includes dividing the membrane into separate zones and locating a sensor to detect moisture underneath the membrane. A unique digital code address is assigned to sensor where inputs of the sensors are connected to a single power and signaling cable system using a daisy chain. The serial bus controller is to interrogate each of the sensor devices using the address to identify zones where moisture is detected. A transmitting antenna is provided at each sensor which is switched on when moisture is detected for detecting of the sensor from above the membrane by a utility locate device to confirm the location of the sensor.

A method for connecting a smart electricity meter connected to a data concentrator, referred to as the current data concentrator, in a powerline or radio-frequency communication network for the automated management of metering in the context of an electrical distribution service is described. The smart electricity meter disconnects from the current data concentrator in the case where the latter is posing a problem. It next attaches itself to a neighbouring data concentrator different from the current data concentrator. It then listens to the frames containing an identifier of said current data concentrator. Finally, it disconnects from the neighbouring data concentrator and attaches itself to a data concentrator using the same identifier as the current data concentrator when at least N frames containing the identifier of the current data concentrator are received, with N an integer greater than or equal to 1.

A predictive maintenance system is disclosed. The system includes a network of analog and digital sensors, each sensor configured for measuring telemetry data associated with temperature levels, voltage levels, current levels, and other analog or digital parameters. The system includes microprocessors for receiving the (digitized) analog and digital telemetry data, tabulating and timestamping the raw telemetry datasets. The microprocessors compress the raw data and reduce its dimensionality by generating principal component sets from the raw data based on scalar parameters corresponding to machine learning algorithms stored to memory, the principal component sets capturing a majority of variances within the raw data. The principal component sets are organized into data packets including identifiers for the relevant algorithms. The data packets are transmitted via real time networks for either onboard storage or ground-based analysis.

A distributed air data module system includes several air data systems and a control module communicatively connected to each air data system via a data channel. Each of the air data systems includes a sensor that is configured to sense an air data parameter and to provide a sensor output signal that is indicative of the sensed air data parameter, and a sensor analog-to-digital converter that produces a digital air data parameter signal that is representative of the sensor output signal. Each air data system has an associated air data system address code. The control module is configured to generate a selected air data system address code corresponding to a selected air data systems, receive the digital air data parameter signal associated with the selected air data system via the data channel, and transmit the digital air data parameter signal via an aircraft data bus.

A central controller for a data network includes an input interface for receiving a request signal, a control unit for generating a control signal depending on the request signal received, and at least one output interface for transmitting the control signal to at least one participant device. The control signal is set up to actuate the at least one participant device to emit a participant output signal for identifying a physical position of the at least one participant device.

Techniques are provided which may be implemented using various methods and/or apparatuses in a mobile device to address maximum permissible exposure (MPE) proximity sensor failure. A mobile device may include a maximum permissible exposure (MPE) sensor control unit to actively monitor signals associated with proper operation of the MPE proximity sensors. Upon detecting an anomaly in any of these signals. such as a value drop below a given threshold, an MPE sensor control Unit will inform an AP (application processor, or other processor or controller) which in turn trigger display of a warning message on the display of the mobile device or the issuance of other warnings such an audible or tactile alert to inform the end user about the maximum permissible exposure (MPE) proximity sensor malfunction and/or notify the end use of a condition resulting in deactivation of the 5G new radio transceiver.