Abstract: A machine subject to state and control input constraints is control, while the control policy is learned from data collected during an operation of the machine. To ensure satisfaction of the constraints, the state of machine is maintained within a constraint admissible invariant set (CAIS) satisfying the constraints and the machine is controlled with corresponding control policy mapping a state of the system within the CAIS to a control input satisfying the control input constraints. The machine is controlled using a constrained policy iteration, in which a constrained policy evaluation updates CAIS and value function and a constrained policy improvement updates control policy that improves the cost function of operation according to the updated CAIS and the corresponding updated value function.

Abstract: A smart gateway platform leverages pre-defined industrial expertise to identify limited subsets of available industrial data deemed relevant to a desired business objective, and to collect and model this relevant data to apply useful constraints on subsequent artificial intelligence or machine learning analytics applied to the data. This approach can reduce the data space to which AI analytics are applied, and assist data analytic systems to more quickly derive valuable insights and business outcomes. In some embodiments, the smart gateway platform can operate within the context of a multi-level industrial analytic system, feeding pre-modeled data to one or more AI or machine learning systems executing on one or more different levels of an industrial enterprise.

Abstract: A numerical controller outputs a feature amount of time-series data generated in relation to machining. The numerical controller is provided with a data acquisition unit configured to acquire the time-series data from a sensor, a feature amount calculation unit configured to sort the time-series data by their values, extract a set of the time-series data with variations of the values not higher than a predetermined threshold, and calculate the feature amount representative of the set, and a feature amount output unit configured to output the feature amount.

Abstract: Respective amounts of movement of feed axes corresponding to first and second position controllers are determined, and if a value obtained by dividing a smaller amount of movement by a larger amount of movement, in the two amounts of movement, falls within a prescribed reference range, a position controller for the feed axis with the smaller amount of movement selects a detected motor position as a position feedback value and a position controller for the other feed axis selects a detected object position as a position feedback value.

Abstract: Computing device and method for inferring via a neural network a two-dimensional temperature mapping of an area. A predictive model is stored by the computing device. The computing device receives a plurality of temperature measurements transmitted by a corresponding plurality of temperature sensors located at a corresponding plurality of locations on a periphery of the area. The computing device executes a neural network inference engine, using the predictive model for inferring outputs based on inputs. The inputs comprise the plurality of temperature measurements. The outputs consist of a plurality of temperature values at a corresponding plurality of zones, the plurality of zones being comprised in a two-dimensional grid mapped on a plane within the area. For instance, the area is a room of a building, the periphery is an interface of a ceiling and walls of the room, and the plane is a horizontal plane within the room.

Abstract: An interface circuit includes: a connector connectable to a PC; a communication circuit capable of generating a transmission signal to another electronic device; a first region that is set between the connector and the communication circuit to allow an electrical isolation device to be mounted therein; wiring lines used to connect the communication circuit and the connector to each other through the first region; and wiring lines used to connect the electronic circuit and the connector to each other through a region other than the first region.

Abstract: A production schedule creating method includes: acquiring production sequence information including a production sequence for producing a plurality of models of products and preparation work sequence information including a sequence of arrangement work of arranging members corresponding to the plurality of models on arrangement means which is attached to production equipment so as to arrange the members that are used for production of the products; acquiring arrangement means information including production arrangement means information that is information of the arrangement means attached to the production equipment and equipment detached arrangement means information that is information of an equipment detached arrangement means that is not attached to the production equipment; optimizing a production schedule obtained after a time point of acquisition of the arrangement means information, based on the production sequence information, the preparation work sequence information, and the arrangement means inf

Abstract: A production schedule creating method includes: a schedule information acquiring step of acquiring production schedule information including a production sequence for producing a plurality of models of products, a commenceable time point, and a production deadline time point; a preparation time calculating step of calculating a preparation time taken for arrangement work of arranging members on arrangement means, for each of a plurality of models; a production time point calculating step of calculating a production commencing time point and a production end time point for each of the plurality of models; a schedule satisfaction determining step of determining whether or not a schedule satisfying condition is satisfied, for each of the plurality of models; and a sequence changing step of changing a sequence for producing an unsatisfied model that does not satisfy the schedule satisfying condition, in a case where the unsatisfied model is present.

Abstract: A method for power consumption management in a datacenter. A processor retrieves a power usage model and historical power data for devices in the datacenter and calculates a first supply power from a power supplier that is available for distribution to the datacenter during a load shedding time period. A first power usage for the datacenter is calculated during the load shedding time period. The method further includes determining if the first supply power is greater than the first power usage for the datacenter during the load shedding time period. In response to determining that the first supply power is not greater than the first power usage, a first device in the datacenter is identified to reduce power consumption. The first device in the datacenter is triggered to reduce power consumption during the load shedding time period.

Abstract: In the field of industrial automation, a method and device are for determining a data reading period for determining a data reading period of data in an industrial control system, and are capable of automatically configuring the data reading period to obtain a better configuration result. In embodiments of the present invention, an industrial control system in different states is simulated by using simulation software to obtain a simulation model and simulation data. Data features of the industrial control system in different states that is simulated can be extracted respectively, and a data reading period is determined according to the extracted data features. Automatic configuring of a data reading period is implemented.

Abstract: Computer-implemented methods and systems construct a calibrated operation-centric first-principles model suitable for online deployment to monitor, predict, and control real-time plant operations. The methods and systems identify a plant-wide first-principles model configured for offline use and select a modeled operating unit contained in the plant-wide model. The methods and systems convert the plant-wide model to an operation-centric first-principles model of the selected modeled operating unit. The methods and systems recalibrate the operation-centric model to function using real-time measurements collected by physical instruments of the operating unit at the plant. The recalibration may include reconciling flow and temperature, estimating feed compositions, and tuning liquid and vapor traffic flow in the model. The methods and systems deploy the operation-centric model to calculate KPIs (Key Performance Indicators) using real-time measurements.

Abstract: A workpiece processing system (1) includes a transfer robot (3), a control device (4) controlling operation of the transfer robot (3), and an operating part (5) performing a teaching operation to the transfer robot (3). The control device (4) has an approach point setter (6) setting in advance an approach point as a reference point for the transfer robot (3) to start operation to a workpiece processing device, a first program generator (7) generating a first program defining the operation of the transfer robot (3) from an operational zero point for the transfer robot (3) to the approach point, a second program generator (8) generating a second program defining the operation of the transfer robot (3) after the approach point based on the teaching operation, and a robot controller (9) controlling the operation of the transfer robot (3) in accordance with the first program and the second program.

Abstract: When a product is produced at the facility, a product ID of the product to be produced and setting values of a plurality of control parameters are received from a console terminal, and a transformation model corresponding to the combination of the product ID of the product to be produced and setting values of the plurality of the control parameters is read from a transformation model storage part. Then, in accordance with the read transformation model, the reference learning data stored in a reference learning data storage part is data-transformed and individual learning data corresponding to the product to be produced is generated, and with use of the individual learning data, whether measurement data output from sensors in the facility is abnormal is discriminated.

Abstract: A sprayer for spraying fluid includes a pump, a motor that drives the pump, a drive cycle indicator, a wireless module configured to send and receive information, and control circuitry. The drive cycle indicator outputs an indication of cycle status of the pump. The control circuitry is configured to receive the plurality of cycle status indications of the pump, determine a plurality of output values representing paint spray fluid output volume over a plurality of time windows based on the plurality of cycle status indications of the pump, store the plurality of output values in memory, and cause the wireless module to transmit one or more of the stored plurality of output values externally from the sprayer.

Abstract: A device, which is intended to remotely control at least one operation of at least one appliance, includes an input interface module for receiving inputs from a user, and a communication module for sending to a management platform data which represent a control instruction activated by the user. Such a device can have universal remote control functionality, with an additional contextualization functionality.

Abstract: A 3D virtual model of an intra oral cavity in which at least a part of a finish line of a preparation is obscured is manipulated in virtual space by means of a computer or the like to create, recreate or reconstruct finish line data and other geometrical corresponding to the obscured part. Trimmed virtual models, and trimmed physical models, can then be created utilizing data thus created. The virtual models and/or the physical models may be used in the design and manufacture of copings or of prostheses.

Abstract: A method is provided for assessing wear of a drill bit throughout its use for carrying out the drilling of elements to be drilled constituted by at least one layer and at least one material. The wear of the drill bit expresses its capacity to perform a drilling that meets at least one criterion of quality of a drilling. The method includes at least: measuring or detecting at least one parameter having an effect on the wear of the drill bit, the parameter being chosen from: the depth of drilling performed by the drill bit, and the entry of the drill bit into the element to be drilled; and determining at least one state of wear of the drill bit, each state of wear being determined as a function of one of the parameters and being characteristic of one of the criteria of quality of a drilling.

Abstract: A method includes determining, by a processing device, a first eco-efficiency characterization associated with a first design of manufacturing equipment based on one or more of water eco-efficiency characterization, emissions eco-efficiency characterization, or electrical energy eco-efficiency characterization. The water eco-efficiency characterization, the emissions eco-efficiency characterization, the electrical energy eco-efficiency characterization, and the first eco-efficiency characterization are associated with an amount of environmental impact generated by the manufacturing equipment per unit product produced by the manufacturing equipment. The method further includes comparing the first eco-efficiency characterization to a second eco-efficiency characterization that is associated with a second design of the manufacturing equipment.

Abstract: This application discloses a system that may comprise at least a portion of a supply network. The system may further comprise a load controller that controls current flow with a current level of I1 into a load network that provides power to one or more loads from the at least a portion of the supply network according to a preprogrammed load curve. The system may also comprise a protection system that isolates the at least a portion of the supply network from the load controller in response to detecting a current pattern that is inconsistent with the preprogrammed load curve.

Abstract: Expert system and method for computing an application procedure for painting vinyl panels a target color at a paint application site while preventing vinyl warping. A target reflectivity indicator is computed for the vinyl panels once painted. When the target color and target reflectivity indicator are met by application of the multiple paint layers, the application procedure computed identifies a pigmentable waterborne paint composition, one or more proportioned paint pigments to achieve the target color at a predictable transmissivity and a preparatory waterborne paint composition considering a corresponding predictable reflectivity. Applying the pigmentable waterborne paint composition, once pigmented with the one or more proportioned paint pigments, over the preparatory waterborne paint composition meets the target reflectivity indicator for the vinyl panels at the target color.