A system for cabling infrastructure that includes at least one port, at least one shutter, at least one sensor and a gateway is provided. The port is configured to be selectively coupled to a connector. Each shutter is configured to have an open state that allows access to an associated port and a closed state that covers the port. Each sensor is configured to sense the open state and the closed state of an associated shutter and generate shutter state signals that include information relating to a current sensed state of the associated shutter and an identification of a port that is associated with the associated shutter. The gateway is in wireless communication with each sensor to receive the shutter state signals. The gateway is configured to communicate the shutter state signals that indicate a change in a state of an associated shutter to a remote location.

A wireless sensor network at a monitored location can be configured to generate sensor channel(s) of data to assess operational conditions at the monitored location. Inputs based on the sensor channel(s) of data are provided to a host system for analysis of a demand to one or more resources at the monitored location. Response messages can be generated based on the demand analysis and transmitted to actuator(s) at the monitored location to effect an adjustment to the operational conditions.

A garden watering assembly includes a plurality of sensing units and each of the sensing units has a probe which is insertable into soil in a garden to determine moisture content of the soil in the garden. The sensing units broadcast a sensing signal comprising moisture content of the soil in the garden. A controller module broadcasts an irrigation signal when the controller module receives a sensing signal from any of the sensing units which communicates a moisture level that is below the pre-determined moisture threshold. A pump unit is in remote communication with the controller module and the pump unit irrigates the soil in the garden when the controller module broadcasts the irrigation signal.

Systems and methods for temperature monitoring and environmentally related calculations are disclosed herein. A system according to embodiments herein may include a memory, a network interface, and one or more processors. The system may receive one or more environmental readings from a sensor taking readings at an environmentally controlled area. The system may further determine a timestamp corresponding to each of the one or more readings and calculate, using the one or more readings and their corresponding timestamps, an exposure of a good stored within the temperature-controlled area. The system may further determine that the calculated exposure of the good has surpassed a pre-determined exposure threshold for the good and send an electronic message configured to indicate such determination to a user. The system may use a neural network to predict future readings and/or events based on current readings and use the predictions in methods described herein.

A system and a computer-implemented method for providing responder information are disclosed herein. The method includes receiving, via a computing device, a sensor data generated by one or more safety devices corresponding to one or more responders. The computer-implemented method further includes analyzing, via the computing device, the sensor data to generate an analyzed sensor data. The computer-implemented method further includes establishing, via an application programming interface (API), a direct communication link between the computing device and at least one server or establishing, via a local application, a direct communication link between the computing device and at least one third party server. The computer-implemented method further includes transmitting, via the computing device, the analyzed sensor data to the at least one server or transmitting, via the computing device, the analyzed sensor data to the at least one third party server.

A sensor tag which in use will be affixed to a vehicle for obtaining vehicle telematics data includes a battery for powering the tag and a processor running executable code to process accelerometer data. An accelerometer measures the acceleration of the tag and thereby of the vehicle, and also controls the operation of the processor. A memory is used for storing a unique tag identifier of the tag and for storing trip data including information about trips and acceleration data. Finally, a communication module is used for short range wireless communication with a mobile communications device located in the vehicle via a short range wireless communications protocol, the communication module transmitting the tag's unique identifier and a sequence of time stamped acceleration data. The mobile communications device obtains GPS data, combines this with the acceleration date and transmits this to a server for analysis.

A system, method and apparatus for augmenting a building control system domain. A sensor network platform can be configured to collect data based on measurements from sensors outside of a legacy building control system domain, and to present information based on the collected data to a known interface supported by the legacy building control system. In one embodiment, the collected data can undergo customized processing by an operation center outside of the legacy building control system domain.

A method operates a supply system having a measuring unit and a central unit. Information is transferred repeatedly at specific time intervals via a communication network by radio between the central unit and the measuring unit. The measuring unit or the central unit receives the information and then generates a receipt confirmation, which it transmits to the central unit or the measuring unit respectively. The central unit or the measuring unit, after transmitting the information, opens a receive window of a certain time length for receiving the receipt confirmation. As a result of a first trigger event, the time intervals between the repeat transmissions of the information are shortened, and/or an additional receive window for receiving the receipt confirmation is opened, and as a result of a second trigger event, the time intervals between the repeat transmissions are lengthened, and/or no additional receive windows are opened.

Methods and systems for collecting and analyzing sensor data to predict water fixture failure and water consumption are provided. In one embodiment, a method is provided that includes receiving sensor data regarding a water fixture. Changepoints may then be calculated within the sensor data and the sensor data may be split into intervals at the changepoints. A machine learning model may then be used to classify the intervals and a status of the water fixture and water consumption may be identified based on the classified intervals.

A remote node device including a hardware layer, a hardware abstraction layer, and a software stack operating on the hardware abstraction layer. The software stack including an open-source cloud-based operating system integrated with a service provider defined abstraction layer configured to coordinate functionality of the software stack, virtualized software components such as a virtualized Converged Cable Access Platform (vCCAP) implemented in docker containers where the vCCAP is configured to command and control the remote node device with respect to a customer premise equipment. The software layer of the remote node device includes different types of YANG data models for model-driven management and model-driven telemetry from the remote node device and a customer premise equipment to a service provider back-office system.