A method for analyzing SCADA projects includes generating a configuration for the SCADA system deployed in a default environment, receiving a first result of a set of tests run on the SCADA system using the configuration in the default environment, determining whether the first result of the set of tests is successful, deploying the SCADA system using the configuration in a customer environment, comparing the default environment with the customer environment, determining differences between the default environment and the customer environment, receiving a result of another set of tests run based on the differences between the default environment and the customer environment, adjusting the configuration in the customer environment based on the result of the another set of tests to generate an adjusted configuration, and receiving a second result of the set of tests run on the SCADA system using the adjusted configuration in the customer environment.

The present disclosure includes a method and a system for remote-controlled servicing of a field device of process automation, including establishing a communication connection between a service unit and the field device via a first network, sending via a second network an access request from a computer unit to an application program executed on the service unit, wherein the application program serves for servicing the field device, approving the access request via the application program, and establishing access of the computer unit to the application program via the second network upon approval of the access request, wherein, after established access, the servicing of the field device occurs from the computer unit.

Sounds, alarms or other indications of conditions of potential interest that are produced by appliances and other household devices are detected by one or more sensors to trigger a notification signal that is sent to a remotely located user. The signals produced by the sensors are advantageously compared with a database of signals representing conditions of potential interest produced by known appliances and devices, producing the appropriate notification signal when a match is found. Notifications may be relayed to one or more selected users only when predetermined conditions are satisfied.

The present disclosure provides a computer-implemented method for recommending 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 collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes analysis of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes recommendation of one or more control schemes to a plurality of energy consuming devices and a plurality of energy storage and supply means.

A computer-implemented method and system is provided. The system manipulates load curves corresponding to time-variant energy demand and consumption of a built environment. The system analyzes a first, second, third, fourth and a fifth set of data. The first set of data is associated with energy consuming devices. The second set of data is associated with an occupancy behavior of users. The third set of data is associated with energy storage and supply means. The fourth set of data is associated with environmental sensors. The fifth set of data is associated with energy pricing models. The system executes control routines for controlling peak loading conditions associated with the built environment. The system manipulates an optimized operating state of the energy consuming devices. The system integrates the energy storage and supply means for optimal reduction of the peak level of energy demand concentrated over the limited period of time.

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 prioritizing one or more instructional control strategies to reduce time-variant energy demand of a built environment associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes parsing and comparison of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes identification and prioritization of one or more instructional control strategies to reduce the time-variant energy demand associated with the built environment.

A computing device may be disposed in a command center positioned remotely from each test cell of a plurality of test cells of a testing facility. The computing device may include a visual display disposed in the command center and may include a network transceiver configured to receive monitored parameters of a test object disposed in each test cell. The computing device may include a command center module in communication with, at least, the network transceiver and the visual display. The command center module may be configured to execute instructions for: presenting, via the visual display, tests associated with the test object; receiving the monitored parameters of the test object; presenting, via the visual display, tasks associated with the tests; selectively assigning the tasks to a staff member; and communicating the assigned task to the staff member for performing the assigned task associated with the test object.

The present application relates to the electronic field of railways, and in particular to the traction control system for electric multiple units. A host processor of the traction control system for electric multiple units is connected to a subordinate computer board via a CPCI bus. The traction control system for electric multiple units comprises a fast computing board, a network module and a debugging module. An instruction is passed to the subordinate computer board via the CPCI bus, and meanwhile, the subordinate computer board passes status information to the host processor via the CPCI bus to realize overall control on the interior of the traction control system for electric multiple units. Bidirectional communication between the signal sampling board and the fast computing board is realized by a high-speed differential LinkPort bus to realize quick control on the inverter power module and the four-quadrant power module. Bidirectional communication between the network card and boards of the I/O module is realized by a CAN bus, and digital signals and analog signals sent by boards of the I/O module are transferred to the host processor via the CPCI bus to ensure stability and reliability in information transmission of the traction control system for electric multiple units.

The present application relates to the electronic field of railways, and in particular to the traction control system for electric multiple units. A host processor of the traction control system for electric multiple units is connected to a subordinate computer board via a CPCI bus. The traction control system for electric multiple units comprises a fast computing board, a network module and a debugging module. An instruction is passed to the subordinate computer board via the CPCI bus, and meanwhile, the subordinate computer board passes status information to the host processor via the CPCI bus to realize overall control on the interior of the traction control system for electric multiple units. Bidirectional communication between the signal sampling board and the fast computing board is realized by a high-speed differential LinkPort bus to realize quick control on the inverter power module and the four-quadrant power module. Bidirectional communication between the network card and boards of the I/O module is realized by a CAN bus, and digital signals and analog signals sent by boards of the I/O module are transferred to the host processor via the CPCI bus to ensure stability and reliability in information transmission of the traction control system for electric multiple units.