Abstract: Methods and apparatus to implement predictive analytics for continuous processes are disclosed. An example apparatus includes a virtual batch unit controller to implement a sampling batch on a virtual batch unit. The sampling batch corresponds to a discrete period of time of a continuous control system process. The virtual batch unit includes input and output parameters corresponding to parameters associated with the continuous control system process. The example apparatus further includes a sampling batch analyzer to generate predictive analytic information indicative of a predicted quality of an output of the continuous control system process at an end of the discrete period of time based on an analysis of the sampling batch relative to an analytical model.

Abstract: Systems, apparatuses and methods may provide for technology that identifies a cognitive space that is to be a compressed representation of activations of a neural network, maps a plurality of activations of the neural network to a cognitive initial point and a cognitive destination point in the cognitive space and generates a first cognitive trajectory through the cognitive space, wherein the first cognitive trajectory traverses the cognitive space from the cognitive initial point to the cognitive destination point.

Abstract: Contextually filtering a state indicator corresponding to a data source in an industrial process historian system. By persisting a unique identifier with state indicators, the state indicators are filtered based on corresponding unique identifiers received by a remote device from a beacon associated with the data source.

Abstract: A computer-implemented method, system, and/or computer program product controls manufacturing devices in a manufacturing environment. One or more processors receive sensor readings, which detect conditions that are unique to different areas within the manufacturing environment, in order to generate models of operations for each area in the manufacturing environment. One or more processors generate an ensemble model by extracting information from the models to describe a relationship between the conditions. One or more processors generate a device control signal, based on the ensemble model, that adjusts operations in the different areas in order to ameliorate the detected conditions.

Abstract: An apparatus and a system including a casting pit; a mold including a reservoir and a cavity; a coolant feed operable to introduce a coolant to a periphery of a metal emerging from the mold cavity; an array of water vapor exhaust ports about at least the top periphery of the casting pit; a mechanism to introduce an inert fluid into the coolant feed. A method for a direct chill casting including, after detecting a bleed out, exhausting generated gas from the casting pit at a flow volume rate that is enhanced relative to a flow volume rate prior to detecting bleed out or run out; introducing an inert gas into the casting pit; and introducing an inert fluid into a coolant feed to the casting mold.

Abstract: A system comprising at least one furnace including a melt containing vessel; an intermediate casting product station coupled to the at least one furnace and operable to receive a molten metal from the at least one furnace, the intermediate casting product station including a casting pit, at least one moveable platen disposed in the casting pit, an array of exhaust ports about at least a top periphery of the casting pit, and an array of gas introduction ports about at least the top periphery of the casting pit; and an inert gas source operable to supply an inert gas to the array of gas introduction ports.

Abstract: A monitoring system for monitoring a service execution infrastructure for providing a service to client computers via a network manages baselines of monitoring values of components per load of the service provided by the infrastructure, and uses the baselines depending on a current service load. When detecting an abnormality of a service monitoring value or component monitoring value by use of the baselines, the monitoring system compares events up to predetermined minutes ago from now with events in the baseline time zone thereby to specify a differential event (or non-normal recent event).

Abstract: A real-time system and method for online monitoring a transient operation in a continuous casting process. The transient operation refers to, but is not limited to, submerged entry nozzle changes, flying tundish changes, product grade changes, etc. This invention treats the aforementioned transient operations as batch processes and utilizes multiway principal component analysis to develop a multivariate statistical model to characterize normal process transitions based on carefully selected historical process data. Such a model is used by an online monitoring system to determine if a continuous caster transient operation is normal. This monitoring system can further be used to predict an impending breakout, one type of catastrophic process failures which may occur in a continuous casting process, during the transient operation.

Abstract: The method for controlling flow pattern of molten steel in continuous casting, comprises the steps of: (a) continuously casting a molten steel injected through an immersion nozzle; (b) measuring temperatures of a copper plate on longer side of the mold in width direction thereof at plurality of points; (c) detecting a flow pattern of the molten steel in the mold based on the time-sequential variations of temperatures of the copper plate at individual measurement points; and (d) controlling the flow pattern to establish a specified pattern on the basis of the detected result. The temperatures of mold copper plate are measured by plurality of temperature measurement elements buried in the rear face of the mold copper plate for continuous casting. The temperature measurement elements are arranged in a range of from 10 to 135 mm distant from the melt surface in the mold in the slab-drawing direction.

Abstract: A method of monitoring the operation of a continuous caster in which a multivariate statistical model is developed using off-line measurements of process parameters representing normal operation of the continuous caster. On-line process parameters are measured in real time to determine if the caster operation is normal by calculating test statistics on vectors calculated using the multivariate statistical model with input from the on-line process parameters. The method may advantageously be used to predict breakouts in a continuous caster and allows an operator to take corrective action to avoid such breakouts. Corrective action may also be taken automatically.

Abstract: Disclosed is a mold plug activation system and bleedout protection system, which stops the flow of metal during predetermined conditions, such as during the initial introduction of molten metal to the molds or in the event a bleedout is detected in the mold.

Abstract: A casting apparatus for direct chill casting of molten metal includes a mold having an inlet to receive molten metal, a side wall and an outlet for withdrawal of a casting from the mold, a water spraying device positioned to direct water sprays which impinge directly on an outer surface of the casting emerging from the outlet and an infra-red detector positioned adjacent a region in which the water sprays impinge directly upon the outer surface of the casting being withdrawn from the outlet of the mold. The detector is thus exposed to radiation from this region as the casting is cooled by the water sprays, and any molten metal bleeding out from the casting in this region immediately exposes the infra-red detector to high temperature radiation.

Abstract: A method and an apparatus for the early recognition of ruptures when continuously casting steel using an oscillating mold constructed of copper plates, wherein the method includes continuously and comparatively measuring operating parameters, for example, the temperature distribution with respect to location and time in the copper plates, and analyzing the obtained measurement results. For increasing the probability of an accurate evaluation of indications of an acute tendency of ruptures, two measuring data to be compared are coupled with each other as well as with measuring data of at least one third measuring row, and the measuring data are preferably analyzed online.