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.

A system for resource monitoring and engagement, the system comprising: a server, coupled to an internet, comprising: a meter reading processor, configured to communicate with a resource monitor that is disposed within radio range of resource meters that transmit radio signals indicative of meter identifiers and current readings, where the resource monitor: determines whether the radio signals are of a fixed frequency or frequency hopping transmission protocol by scanning each of a plurality of channels for a time period and counting hits of desired meter identifiers within the each of the plurality of channels; decodes the radio signals according to a determined transmission protocol to obtain corresponding meter identifiers and readings; and transmits the corresponding meter identifiers and readings over the internet, and where the meter reading processor creates and updates a corresponding plurality of records in a resource database that indicate resource consumption of corresponding facilities; and an engagement processor, that causes an alert to be transmitted based on analyses of the resource consumption to provide notification of an unusual pattern of resource consumption.

A battery pack comprising a slave BMS which diagnoses an error in a battery module. The battery pack includes a master BMS and a first slave BMS. The first slave BMS, when an error has occurred in a first battery module, determines whether or not the error is critical. The first slave BMS communicates with the master BMS in a time segment corresponding to the Identification (ID) of the first slave BMS, changes the ID based on whether or not the error is critical, then outputs information on the error to the master BMS in a time segment corresponding to the changed ID.

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.

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 based on current readings and use the predicted future readings in methods described herein.

A temperature monitor, a system, and a method monitor temperature on a roof. The temperature monitor includes a base for attaching to the roof, a temperature sensor for detecting changes in temperature, the temperature sensor is attached to the base and positioned periodically on the base, and a roof sensor device attached to the base for transmitting measurement data received from the temperature sensor.

A method uses a distributed data acquisition system with multiple, physically unconnected, data acquisition units, that can be in wireless communication with a remote host, to timestamp measurement data with sub-microsecond time base accuracy of sampling clock relative to an absolute timeframe. A current absolute time is derived from messages received from a satellite radio beacon positioning system (GPS). Measurement data is sampled by each unit at a specified sampling rate. Using hardware logic, batches of sampled data are associated with corresponding timestamps representing the absolute time at which the data was sampled. Data and timestamps may be transmitted to the host. A time offset bias is compensated by comparing timestamps against a nominal time based on start time and nominal sampling rate. The sampling clock rate may be disciplined using time pulses from the GPS receiver. An initial start of data sampling by all units can also be synchronized.

An information collecting system includes a first device including a counter, a second device that collects data from one or more sensing devices in response to a command from the first device, and a third device including a time-measuring unit that manages time. The first device adds, to the data collected by the second device, a first count value output from the counter at a timing when the second device collects the data, to generate a first data set. The third device adds, to the first data set, a correspondence relationship between a time output from the time-measuring unit and a second count value output from the counter of the first device.

An informatics system that can be head-worn under a helmet and used to provide a wearer's vital statistics and other information to a remote monitoring station, for example in connection with pre-hospital emergency care.

The present disclosure generally relates to intelligent garments that provide thermal regulation in a variety of environments. The garments may include different layers such as a hydrophobic layer in direct contact with a wearer's skin surface and saturated with an aqueous mixture, a spacer layer, a reflective layer, and an outer hydrophobic layer. The layers of the garment may work together to reduce the metabolic expenditure of the wearer in extreme environmental conditions or during demanding physical activity. A variety of sensors may be displaced throughout the garments so as to enable the collection of data associated with wearers as well as environmental conditions. Wearers may control the thermal balance and other properties of the garments as desired.