Abstract: A first building equipment to be controlled by a building controller is selected via a user interface from a plurality of predefined building equipment options and a first control loop for controlling the first building equipment is defined via the user interface by selecting from a plurality of predefined first control loop parameter options and one or more terminals of the building controller are assigned to the first control loop. A second building equipment to be controlled by the building controller is selected via the user interface from the plurality of predefined building equipment options and a second control loop for controlling the second building equipment is defined via the user interface by selecting from a plurality of predefined second control loop parameter options. One or more terminals of the building controller are assigned to the second control loop.

Abstract: A production system, comprising: a first industrial machine configured to control a second industrial machine based on each of a plurality of variables; and circuitry configured to input, to the first industrial machine, a control command relating to an operation of at least one of the first industrial machine or the second industrial machine, wherein the first industrial machine rewrites, based on the control command, at least one variable defined as a rewritable variable among the plurality of variables.

Abstract: The actual performance information classify part derives a classification result of an actual performance information on electric power demand, by a classification setting information, from an environment information and a date attribute information which is correlated with each of the electric power demands which is included in an actual performance information on electric power demand. The prediction information calculate part derives a classification result of a prediction target day, using the date attribute information of the prediction target day, which is a day to conduct a prediction, and the environment information which is measured before a start of the prediction of a prediction target day, and in addition, predicts an electric power demand of a prediction target day, based on the electric power demand of the actual performance information on electric power demand, which corresponds to the classification result of the prediction target day.

Abstract: The disclosure provides a distributed dispatch method for ubiquitous power Internet of Things based on a transition matrix. The ubiquitous power Internet of Things includes generators. The method includes: S1, setting a marginal cost function of each of the generators, and extracting key cost parameters in the marginal cost function; S2, establishing an optimization model based on the key cost parameters of each of the generators and a communication topology of the ubiquitous power Internet of Things, and solving the optimization model to obtain an optimized transition matrix; and S3, generating a plan of a power output of each of the generators based on the optimized transition matrix and a distributed dispatch protocol to perform a distributed dispatch.

Abstract: Systems and methods for safety-enabled control. Input values provided to a control system can be validated. Command gating can be performed for control values provided by the control system. Validation of input values and command gating for control values can be performed in accordance with respective validation windows. Validation windows can be dynamically adjusted based on data received via a sensor or interface.

Abstract: A model learning unit learns a prediction model on the basis of learning data, a target setting unit sets a target output parameter value by interpolating between a goal output parameter value and an output parameter value which is the closest to the goal output parameter value in output parameter values in the learning data, a processing condition search unit estimates input parameter values which corresponds to the goal output parameter value and the target output parameter value, a model learning unit updates the prediction model by using a set of the estimated input parameter value and an output parameter value which is a result of processing that a processing device performs as additional learning data.

Abstract: One variation of a method for autonomously scanning and processing a part includes: accessing a part model representing a part positioned in a work zone adjacent a robotic system; retrieving a sanding head translation speed; retrieving a toolpath for execution on the part defining positions, orientations, and target forces applied by the sanding head to the part. The method includes traversing the sanding head along the toolpath, at the sanding head translation speed; reading a sequence of applied forces from a force sensor coupled to the sanding head at positions along the toolpath; and deviating from the toolpath to maintain the set of applied forces within a threshold difference of a sequence of target forces along the toolpath. In one variation of the method, the robotic system executes a toolpath at a duration less than target duration by selectively varying target force and sanding head translation speed across the part.

Abstract: The hardware and software properties of a three-dimensional printer can be queried and applied to select suitable directly printable models for the printer, or to identify situations where a new machine-ready model must be generated. The properties may be any properties relevant to fabrication including, e.g., physical properties of the printer, printer firmware, user settings, hardware configurations, and so forth. A printer may respond to configuration queries with a dictionary of capabilities or properties, and this dictionary may be used to select suitable models, or determine when a new model must be created. Similarly, when a printable model is sent to the printer, metadata for the printable model may be compared to printer properties in the dictionary to ensure that the model can be fabricated by the printer.

Abstract: Distributed industrial process monitoring and analytics systems and methods are provided for operation within a process plant. A plurality of distributed data engines (DDEs) may be embedded within the process plant to collect and store data generated by data sources, such as process controllers. Thus, the data may be stored in a distributed manner in the DDEs embedded throughout the process plant. The DDEs may be connected by a data analytics network to facilitate data transmission by subscription or query. The DDEs may be configured as a plurality of clusters, which may further include local and centralized clusters. The local clusters may obtain streaming data from data sources and stream selected data to a data consumer. The centralized cluster may register the local clusters, receive data therefrom, and perform data analytic functions on the received data. The analyzed data may be further sent to a data consumer.

Abstract: The invention relates to a plausibility checking method for rapid prototyping devices, in particular for stereolithography devices. In this connection, input data (14) is checked which is present particularly in the form of graphics data and of which every file renders a layer. Every layer comprises a plurality of pixels. The component to be printed in the respective layer is produced based on output data by the rapid prototyping device. The input data of two consecutive layers is checked and the sum of all pixels to be exposed is determined for every layer. A signal (22) is output in particular as a warning signal (26) when the pixel sum of a following layer is larger than in the previous layer by a predetermined factor.

Abstract: A module for a technical facility includes a technical hardware for executing a technical sub-process, a controller for locally controlling the technical hardware wherein the controller is configured to control the technical hardware autonomously and an external interface of the controller, wherein the external interface comprises an OPC-UA server. The OPC-UA server has a fixedly predetermined information structure having static information and dynamic information wherein the static information describes the technical hardware and the controller, and the controller writes the dynamic information as real-time values of the technical hardware into the information structure.

Abstract: The disclosure relates to a method for transmitting data in a control system of a machine, wherein the control system comprises a mediator unit, at least one client unit and at least one provider unit, wherein the mediator unit is respectively connected to the at least one client unit and to the at least one provider unit in a data-transmitting manner, wherein access paths to data stored in the at least one provider unit are stored in the mediator unit, wherein, in order to transmit data between a transmitting client unit of the at least one client unit and a receiver provider unit of the at least one provider unit, a message transmitted from the transmitting client unit is received by the mediator unit and is transmitted to the receiver provider unit on the basis of the stored access paths.

Abstract: An irrigation controller is disclosed together with associated methods and computer program products. The watering schedule may be formulated based on catch cup data for one or more watering zones of a property to be watered.

Abstract: A furniture motion control system for controlling movement of one or more movable parts of a furniture member includes a panel including one or more buttons; an actuator configured to control movement of the one or more movable parts of the furniture member; an electric motor configured to drive the actuator; and control circuitry configured to control the electric motor, wherein the control circuitry is configured to, in response to detecting that a first button, from among the one or more buttons, has been pressed, select between controlling the motor to drive the actuator and the one or more movable parts to move automatically and controlling the motor to drive the actuator and the one or more movable parts to move manually, based on a length of time the first button is held.

Abstract: A laser power control method for additive manufacturing includes a pre-processing component and an intra-processing component. The pre-processing component creates in the system controller a machine code expressed additive-path-with-geometry-metadata that includes a path description. The path description represents the path of the beam source on the build and includes a geometry index for the build. The intra-processing component calculates required power for the beam at intervals and events on the beam path based upon the additive-path-with-geometry-metadata and calculations of the energy balance at the melt pool and the total energy for each point P(s) on the path.

Abstract: A technique to operating a kitchen system for at least partially automatic preparation of food, a kitchen system and a computer program product are proposed, wherein one or more preparation parameters for one or more preparation steps and/or one or more kitchen appliances of the kitchen system to be used for the preparation are determined, adjusted and/or selected automatically and using a database system.

Abstract: Devices, systems and methods for tracking and upgrading firmware in intelligent electronic devices (IEDs) are provided. The devices, systems and methods provide for tracking firmware versions of at least one or a fleet of IEDs, e.g., electronic power or revenue meters, notifying a user that an update to an existing firmware is available and providing the ability to automatically upload the current or latest version of the firmware to all IEDs.

Abstract: A building system includes one or more memory devices comprising instructions thereon that, when executed by one or more processors, cause the one or more processors to perform one or more first operations based on a digital twin of a building. The instructions cause the one or more processors to update a schema of the digital twin by adding a property or tag to an entity class of the schema, add, based on the schema, one or more data elements representing the property or tag to the digital twin, the one or more data elements related to an entity of the entity class, and perform one or more second operations based on the one or more data elements representing the property or tag.

Abstract: A heating, ventilation, or air conditioning (HVAC) system for a building includes HVAC equipment configured to provide heating or cooling to one or more building spaces and one or more controllers. The one or more controllers include one or more processing circuits configured to generate energy targets for the one or more building spaces using a thermal capacitance of the one or more building spaces to which the heating or cooling is provided by the HVAC equipment, generate setpoints for the HVAC equipment using the energy targets for the one or more building spaces to which the heating or cooling is provided by the HVAC equipment, and operate the HVAC equipment using the setpoints to provide the heating or cooling to the one or more building spaces.

Abstract: An environmental control system of a building including a first building device operable to affect environmental conditions of a zone of the building by providing a first input to the zone. The system includes a second building device operable to independently affect a subset of the environmental conditions by providing a second input to the zone and further includes a controller including a processing circuit. The processing circuit is configured to perform an optimization to generate control decisions for the building devices. The optimization is performed subject to constraints for the environmental conditions and uses a predictive model that predicts an effect of the control decisions on the environmental conditions. The processing circuit is configured to operate the building devices in accordance with the control decisions.