A numerical controller estimates a machining continuable time before a currently controlled motor overheats if an output of the motor exceeds a continuous rated output and predicts respective execution times of command blocks and the machining continuable time for each command block, for a currently running block and its subsequent command blocks. Based on these predicted data, the numerical controller identifies a command block (alarm generation block) in which the motor overheats and a command block (stop block) in which driving control can be safely stopped, within the range of command blocks from the currently running command block to the alarm generation block.

A system allows a contractor to remotely monitor and/or interact with its customers' building control systems, such as heating, ventilating and air conditioning (HVAC) systems, and analyze information obtained from the building control systems over time. Such a system may help the contractor monitor and diagnosis customer building control systems, setup service calls, achieve better customer relations, create more effective marketing opportunities, as well as other functions. In some cases, the disclosed system may include a controller that outputs a listing of one or more building automation system contractors having a service area that overlaps a geographical location of a customer or a potential customer or of a related HVAC system. In some cases, the disclosed system may output a listing of one or more building automation system contractors having a service area that overlaps a geographical location of a building automation system for which an alert has been indicated.

To determine a quality indicator of production batch-run of a production process, a computer compares time-series with multi-source data from a reference batch-run and time-series with multi-source data from the production batch-run. Before comparing, the computer converts multi-variate time-series to uni-variate time-series, by first multiplying data values of source-specific uni-variate time-series with source-specific factors from a conversion factor vector and second summing up the multiplied data values according to discrete time points. The source-specific factors of the conversion factor vector are obtained earlier by processing reference data, including the determination of characteristic portions of the time-series, converting, aligning by time-warping and evaluating displacement in time between characteristic portions before alignment and after alignment.

A redundant device unit includes a first device connected with a field device via a first link and a second link in series. The first device, initially active in use, when active sends diagnostic information indicating whether there is a fault in the first link and/or the second link. A second device connected with the field device via the second link and a third link in series, initially passive in use, receives the first diagnostic information from the first device. When the first diagnostic information indicates that there is a fault in the first link and/or the second link, the first device switches to passive and the second device switches to active and generates second diagnostic information indicating whether there is a fault in the second link and/or the third link. A determination regarding the fault is made based on the first and second diagnostic information.

A system that allows a contractor to remotely monitor and/or interact with its customers' building control systems, such as heating, ventilating and air conditioning (HVAC) systems, and analyze information obtained from the building control systems over time. Such a system may help the contractor monitor and diagnosis customer building control systems, setup service calls, achieve better customer relations, create more effective marketing opportunities, as well as other functions. In some cases, the disclosed system may include a controller that analyzes data from HVAC systems, determines if one or more of the HVAC systems may benefit from a particular product or service, and outputs the HVAC systems that are determined to benefit from a particular product or service.

A system that allows a contractor to remotely monitor and/or interact with its customers' building control systems, such as heating, ventilating and air conditioning (HVAC) systems, and analyze information obtained from the building control systems over time. Such a system may help the contractor monitor and diagnosis customer building control systems, setup service calls, achieve better customer relations, create more effective marketing opportunities, as well as other functions. In some cases, the disclosed system may help a contractor pro-actively identify possible issues with its customer's building control systems and may output an alert related to an operation of the customer's building control systems. Within the system, the contractor may able to open a case associated with the customer's building control systems and link related alerts to the case.

A distributed analytics system to control an operation of a monitored system, and method of operation thereof, including an architect subsystem and an edge processing device. The edge subsystem includes an edge processing device associated with the monitored system. The architect subsystem is configured to deploy an analytic model to the edge processing device based on characteristics of the monitored system. The edge processing device is configured to receive the analytic model and independently perform predictive and prescriptive analytics on dynamic input data associated with the monitored system, provide control signals to the monitored system according to the predictive and prescriptive analytics, and provide information to the architect subsystem, including monitored system responses to the control signals. The architect subsystem is configured to modify the analytic model to improve system performance of the monitored system.

An electronic device is configured to check soundness of the electronic device on the basis of device specific information of the electronic device. The electronic device includes a module configured to automatically set and input at least one of the device specific information upon factory shipment of the electronic device and the device specific information upon mounting of the electronic device, into the electronic device.

The present invention discloses an inspection method for early warning system of industrial security, in which the inspection steps for early warning system comprises: using inspection tool to collect signal characteristics regarding periphery of predetermined area; calculating on collected signal characteristics by means of processor in inspection tool through predetermined programs; determining, based on calculation results, error point of signal characteristics by means of processor in inspection tool; determining the time that abnormal phenomenon is about to occur by means of processor in accordance with data of error point, sending out warning information, and also transmitting collected signal characteristics via wireless transmission unit; and receiving characteristics information transmitted by wireless transmission unit by using wireless transceiver unit and then storing in built-in database for subsequent comparisons. The purposes of early and accurate factory security inspections as well as reduction in possibility for occurrence of accidents can be successfully achieved.

A process monitoring system may include: a storage unit configured to store time-sequence data, which is output from a field device located in a plant for measuring a state quantity, and log data, which includes handing procedures performed in past; a prediction unit configured to predict a time variation of the state quantity by using the time-sequence data output from the field device; and an extraction unit configured to extract the time-sequence data similar to the time variation of the state quantity, which has been predicted by the prediction unit, from the time-sequence data, which has been stored in the storage unit, the extraction unit being configured to extract the handling procedures, which has been performed at a time, when the time-sequence data that has been extracted is obtained, from the log data that has been stored in the storage unit.