A method, device, and system for managing a fleet of vehicles is disclosed. The method includes providing a telematics device for an electric vehicle of the fleet of vehicles, the telematics device being capable of obtaining data from the electric vehicle; using the telematics device to identify the electric vehicle based on the data obtained from the electric vehicle; providing a data definition set for the electric vehicle to the telematics device; and using the telematics device and the data definition set to determine whether the electric vehicle is in a vehicle mode based on the data obtained from the electric vehicle and the data definition set. The vehicle mode of the electric vehicle can be at least one of a charging mode, a driving mode, and a parked mode.

A method includes a system that operates according to a control schedule; detects events that indicate occupancy; stores a record of the events that indicate occupancy in one or more memory devices; and enters an auto-away state. A determination to enter the auto-away state may be based at least in part on a length of a time interval during which no events that indicate occupancy were detected and the stored record of the events that indicate occupancy. The system may also detect a pattern of instances where the auto-away state is entered over a plurality of days and adjusts the control schedule based at least in part on the pattern of instances where the auto-away state is entered.

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.

The present invention provides a method for comprehensive monitoring, analysis and maintenance of water and equipment in swimming pools, said method implemented by one or more processors operatively coupled to a non-transitory computer readable storage device, on which are stored modules of instruction code that when executed cause the one or more processors to perform: accumulating and monitoring data from elements including at least one of: sensors, actuators, and breakers in and around the vicinity of the swimming pools; accumulating non-sensory data from a plurality of sources at a local processing unit; propagating the data to an online remote server, applying machine learning or rule based algorithms at the online remote server configured to incorporate all the acquired data and obtain an optimal policy for pool maintenance by providing recommendations, control parameters, and providing an online interface to access said recommendation/control parameters for at least one of pool owners, pool servicemen, pool maintenance companies, pool vendors and pool retail dealers.

The present disclosure is directed to providing a battery diagnosing system and method, which updates a diagnosis table of a battery diagnosing apparatus by communication between a central server and the battery diagnosing apparatus, and stores battery state information and a diagnosis code as a backup. According to an aspect of the present disclosure, since the diagnosis table stored in the battery diagnosing apparatus may be updated to a latest state, the battery state may be diagnosed more accurately. In addition, according to an aspect of the present disclosure, since the central server determines whether the diagnosis code generated by the battery diagnosing apparatus is misdiagnosed, the battery state may be diagnosed more accurately and reliably.

The present invention provides a system of providing a control service for a TVWS-based hybrid energy storage apparatus in which DC power generated based on solar power is charged into a hybrid solar energy storage device including a plurality of supercapacitors, batteries, supercapacitor modules and battery modules, and the power is supplied to a plurality of loads using the charged power. The system includes: a data collection unit configured to collect storage voltage data for the respective supercapacitors, batteries, supercapacitor modules, and battery modules in the hybrid energy storage apparatus and power consumption data of each load; a central control unit configured to transmit the data collected by the data collection unit through a TVWS channel; a TVWS gateway connected to the hybrid energy storage apparatus through the TVWS channel to receive the data collected by the data collection unit and transmit the data through a wireless communication network; and a control server which is connected to the TVWS gateway to receive the data, and based on the received data, generate control data for the hybrid energy storage apparatus related to amounts of power charge and discharge of the respective supercapacitors and batteries and power consumption data of each of the loads to provide the data to a manager side device.

A monitoring circuit for a photovoltaic module includes a measurement conditioning circuit, a microcontroller circuit, and a transmitter circuit. The measurement conditioning circuit includes a voltage sense terminal, a voltage reference terminal, and a digital measurement data output. The microcontroller circuit includes a digital measurement data input coupled with the digital measurement data output, a modulation clock input, a measurement data stream output, and a transmit select output. The transmitter circuit includes a measurement data stream input coupled with the measurement data stream output, a modulation clock output coupled with the modulation clock input, a transmit select input coupled with the transmit select output, and positive and negative output communication terminals.

A method and system for the post-adjustment (i.e., offline) of event timestamps to implement virtual time synchronization amongst detection node clocks. In existing methodologies with the goal of clock synchronization, clocks (and timestamps generated therefrom) are disciplined or adjusted at the recordation time of the events on a detection node (e.g., a switch/router, an Internet-of-Things (IoT) device, a wireless sensor, etc.). However, there is no particular reason for these clocks or timestamps to be accurate during the recordation time, but rather, should be accurate at their use or interpretation time. Further, through these recordation time adjustments, clock drifts and timing errors may be gradually introduced, leading to runaway inaccuracies. The disclosed method and system intentionally avoids the disciplining of clocks at event recordation times on the detection node and, instead, adjusts timestamps during interpretation times, to overcome the aforementioned issues.

The monitoring of a technical system using sensor data. In the event of the failure of a sensor, in this case, for the failed sensor, virtual sensor data are created on the basis of the remaining functional sensors. In this case, the sensors for the calculation of the virtual sensor data are selected in two stages. In a first step, firstly, possible candidates of sensors are ascertained on the basis of a knowledge-based approach and the topology of the system. A second step involves calculating a mathematical relationship between the sensor data of a faulty sensor and the possible candidates of sensors for the calculation of the virtual sensor data. Those sensors which form a suitable basis for the calculation of the virtual sensor data can be identified in this way.

A system of a machine includes a network of nodes distributed throughout the machine. Each of the nodes is operable to communicate through electromagnetic signals. The system also includes a radio frequency transceiver, a first antenna coupled to the radio frequency transceiver, a second antenna coupled to one or more sensor nodes, and a controller coupled to the radio frequency transceiver. The controller is configured to select at least one sensor node to interrogate, transmit one or more interrogation frequencies from the radio frequency transceiver through the first antenna to the second antenna, receive one or more sensor frequencies at the first antenna broadcast from the second antenna based on a frequency response of the at least one sensor node to the one or more interrogation frequencies, and determine one or more sensed values based on the sensor frequencies received at the radio frequency transceiver through the first antenna.