A system for remote diagnostic analysis of a heating, ventilation and air condition (HVAC) system is provided. The system includes a thermostat in operable communication with at least one peripheral component of the HVAC system and configured to receive information relating to the at least one peripheral component, and a server in operable communication with the thermostat for receiving and analyzing the information. The server causes the at least one peripheral component to conduct a diagnostic test and analyzes the test result to perform a root cause analysis of a system malfunction.

A sensor apparatus for a sail includes a unique sail identifier and an in-use sensor, the in-use sensor determining whether the sail is in an in-use condition or a dormant condition. The in-use sensor includes a light sensor for measuring light falling on the sail and one or more accelerometers for measuring orientation and vibration of the apparatus, wherein an in-use condition is determined from reviewing whether measurements from the light sensor and one or more accelerometers exceed threshold values.

Methods, devices and systems for remotely operating a machine using a communication device. In one aspect, a method includes generating images showing at least one operating range of the machine by using at least one camera of the machine, transmitting the generated images and an image of an operating surface of the machine to the communication device via a radio network, displaying at least one of: the operating surface image and at least one of the generated images on an operating display of the communication device, accepting machine operation commands input by an operator using the operating display, and then transmitting the machine operation commands via the radio network, thereby remotely operating the machine.

A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

The disclosure relates to an automation device of a group of automation devices, comprising: a communication interface configured to communicate with a second automation device of the group of automation devices via a communication network; wherein the communication interface is configured to receive a status message of the second automation device that indicates a state or a change in state of the second automation device; and a light source configured to emit a light signal indicating the state or the change in state of the second automation device in response to the receiving of the status message.

An air-conditioning apparatus support system has a smartphone including a GPS, a camera, a communication unit that communicates with a center computer, a screen, and a control unit. When the control unit is activated at a location at which the air-conditioning apparatus is installed, the control unit executes a step of assuming a location detected by the GPS to be the location at which the air-conditioning apparatus is installed and causing the center computer to register the location, and, after registration has been made, when the control unit is activated at the location at which the air-conditioning apparatus is installed, in the case where the air-conditioning apparatus is registered in the center computer, the control unit causes the screen to display information about the air-conditioning apparatus.

A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

The present disclosure provides a computer-implemented method for ranking one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes analysis of a first set of statistical data, a second set of statistical data, a third set of statistical data, a fourth set of statistical data and a fifth set of statistical data. Further, the computer-implemented method includes identification and execution of the one or more control schemes. In addition, the computer-implemented method includes scoring the one or more control schemes by evaluating a probabilistic score. Further, the computer-implemented method includes ranking the one or more control schemes to determine relevant control schemes for controlling real time peak loading conditions and abrupt changes in energy pricing associated with the one or more built environments.

According to one aspect of this disclosure, a distributed control system may include a diagnostic engine, a plurality of computing resources generating diagnostic parameters for transmission to the diagnostic engine, a first communication link operatively coupling the plurality of computing resources to one another, a second communication link operatively coupling the plurality of computing resources to the diagnostic engine, and a remote connection operatively coupling the diagnostic engine to a remote computing resource. The diagnostic parameters may indicate one or more conditions for at least one of the plurality of computing resources. The diagnostic engine locally observes the diagnostic parameters of the plurality of computing resources via the first communication link, and the remote computing resource initiates operation of the diagnostic engine via the remote connection and evaluates the diagnostic parameters remotely.

System for diagnosing pneumatic control valve online include a sensor set having sensors, attached to a pneumatic control valve, for measuring the state of the pneumatic control valve, a smart data analyzer for processing sensor signal acquired in real time from the sensor set and generating pneumatic control valve state information for online automatic diagnosis of the pneumatic control valve, a data server for transmitting, to an online analysis server, the pneumatic control valve state information received in real time from the smart data analyzer and storing the pneumatic control valve state information for predetermined time period, the online diagnostic server for, by comparing the pneumatic control valve state information with pre-stored normal state data of the pneumatic control valve, determining whether the pneumatic control valve is in abnormal state and generating diagnostic information, and a client computer for displaying the diagnostic information received from the online diagnostic server.