Abstract: An energy management system and methods of using the same are disclosed. The energy management system is configured to distribute power plant tasks. Energy management system tasks are received at the energy management system. At least a portion of the received tasks are passed over a network from the energy management system to a power plant lead controller in a cluster of nodes, the cluster of nodes comprising electronic devices configured to control power plant equipment, the cluster of nodes comprising the power plant lead controller and a plurality of power plant follower controllers, the cluster of nodes configured to provide a plurality of combinations of redundancy to control power plant equipment. The power plant lead controller delegates, in real time, tasks to the plurality of power plant follower controllers. At least one of the cluster of nodes is configurable to be in hot standby mode.

Abstract: The purpose of the present invention is to provide a plant operation optimization assistance device, a plant operation optimization control device, and a method, which enable a reduction in computational load. The plant operation optimization assistance device is characterized by comprising: an input unit for inputting, as an input signal, an operation amount signal assigned to a plant and a process signal detected at the plant; a sensitivity estimation unit for taking, as a sensitivity signal, a time change amount of the process signal with respect to the operation amount signal; and a signal classification unit for sorting operational states of the plant from the input signal and giving an operational state signal, and also extracting, as a state-specific high-sensitivity signal, a sensitivity signal indicating high-sensitivity, from among sensitivity signals, for each of the sorted operational states.

Abstract: Systems, methods, and devices may be configured to detect and remediate component failures in three-dimensional object printers (10, 10a-f) preemptively. For example, systems may include: (a) a plurality of printers (10, 10a-f) each configured to produce three-dimensional objects (13), each printer including: (i) a plurality of subsystems; and (ii) at least one sensor; and (b) processor(s) (41, 42) and memory resource(s) (21) storing an inventory of available replacement components for at least some of said subsystems. The one or more memory resources may (21) store instructions that may cause the one or more processors to: (i) identify a predetermined pattern in data sensed during a process of producing a three-dimensional object by a sensor of a printer as an indicator of likely failure of a subsystem or component thereof; and (ii) assign a component in inventory to said printer based on a unique identifier of the printer and the indicator of likely failure identified in the signal.

Abstract: A home automation platform coalesces various devices for home monitoring, control and automation in a comprehensive control application for complete home control. Devices sourced from different vendors are responsive to the control application via a GUI from a personal device. User authentication is handled transparently through exchanges with the vendor specific website for a particular device. A set of agents monitors device operation and builds a model for issuing autonomous instructions to the devices based on the model of established operation. Compatible devices may be any suitable IP addressable device, and the agents gather a history of devices concerned with different comfort and function areas, such as lighting, appliances, air quality and occupancy awareness (e.g. security). In this manner, comprehensive, cross-vendor oversight is implemented from a common control via the personal device app, and a gathered history of home usage drives learning of a usage model for autonomous operation.

Abstract: An energy management system and methods of using the same are disclosed. The energy management system is configured to deploy a first instantiation of a first hardware driver at a first electronic control device collocated with a first power plant apparatus, wherein the first hardware driver is configured to communicate with and enable control of the first power plant apparatus. The energy management system is configured to detect that the first instantiation of the first hardware driver at the first electronic control device has failed, and at least partly in response to detecting that the first instantiation of the first hardware driver at the first electronic control device has failed, utilize a second instantiation of the first hardware driver, stored in memory remote from the first electronic control device, to enable control of the first power plant apparatus.

Abstract: The present disclosure is directed to systems, methods and devices for facilitating object-based cross-domain industrial automation control. An object library comprising a plurality of objects may be maintained. One or more of the objects may represent physical counterparts for use in an industrial automation process. Each object of the plurality of objects in the object library may have at least one property that an automated control device operation can be programmed to act on. Each object of the plurality of objects may also have at least one property that a human machine interface component can utilize in generating display elements corresponding to the objects for display on the human machine interface. When modifications to objects in the object library are received, those modifications may be automatically deployed and incorporated in controller logic and HMI graphics and control.

Abstract: There is provided an injection molding machine management system including an injection molding machine configured to mold a molded article with injection molding, a peripheral device configured to perform a post-process of the injection molding, and a control device communicably coupled to the injection molding machine and the peripheral device. The injection molding machine management system includes a generating section configured to generate a common identifier for each of predetermined production units and transmit the common identifier to the peripheral device. Molding data concerning the injection molding and post-process data concerning the post-process are correlated with the common identifier.

Abstract: A method for configuring a modular industrial plant using an engineering tool includes using a plant engineering facility of the tool to create a representation of the modular industrial plant identifying modules to be orchestrated in the modular industrial plant. The modules include at least one function module that includes control software for the modular industrial plant. The method further includes using a module engineering facility of the tool to configure the function module for use in the modular industrial plant by editing a placeholder configuration file created by the tool for defining the configuration of the function module. Editing the configuration file causes a representation of the function module in the plant engineering facility to be automatically updated to reflect adaptations made to the function module using the module engineering facility. The method includes instructing the tool to assign the function modules so configured to the modular industrial plant.

Abstract: A solar power generation network shut-off unit is disposed between a plurality of solar power generation modules and a power conditioner, shuts off the supply of power the power generation modules to the power conditioner when an emergency shut-off button is pressed, and comprises a first circuit breaker, second circuit breakers, and a power supply line. When the first circuit breaker detects that the emergency shut-off button has been pressed, the supply of power from the first circuit breaker to the second circuit breakers is halted, and the supply of power from the solar power generation modules through the power line is shut off at the second circuit breakers.

Abstract: A controller is provided for generating a policy controlling a system by learning a dynamics of the system.

Abstract: Disclosed is a blockchain-based electricity charge settlement method and system for an energy storage station. A trusted terminal directly collects two-way electricity quantity data of an energy storage station, and distributes the two-way electricity quantity data to a blockchain; and a consensus node of a power-consuming enterprise and a consensus node of an energy storage station investment operator in the blockchain perform consensus calculation on the two-way electricity quantity data, and write the two-way electricity quantity data into the blockchain after reaching a consensus. The two-way electricity quantity data is accurate and cannot be tampered with, ensuring authenticity of the two-way electricity quantity data.

Abstract: A method for determining processing chamber conditions using sensor data and a machine learning model is provided. The method includes receiving, by a processing device, sensor data that include chamber data indicating a state of an environment of a processing chamber processing a substrate according to a set of process parameters of a current process. The sensor data further include spectral data indicating optical emission spectra (OES) measurements of a plasma disposed within the processing chamber. The method further includes using the sensor data as input to a machine learning model and obtaining one or more outputs that indicate one or more chamber condition metrics. The method further includes determining a recovery status of a processing chamber based on the one or more chamber condition metrics. The method further includes causing a modification to a performance of the processing chamber based on the recovery status of the processing chamber.

Abstract: There is provided a method of controlling an industrial gas plant complex comprising a plurality of industrial gas plants powered by one or more renewable power sources, the method being executed by at least one hardware processor, the method comprising receiving time-dependent predicted power data for a pre-determined future time period from the one or more renewable power sources; receiving time-dependent predicted operational characteristic data for each industrial gas plant; utilizing the predicted power data and predicted characteristic data in an optimization model to generate a set of state variables for the plurality of industrial gas plants; utilizing the generated state variables to generate a set of control set points for the plurality of industrial gas plants; and sending the control set points to a control system to control the industrial gas plant complex by adjusting one or more control set points of the industrial gas plants.

Abstract: This present disclosure provides a method for automatic production line planning based on an Industrial Internet of Things, a system and a storage medium.

Abstract: Disclosed are a net load forecasting method and apparatus for a new energy electric power market. The method includes: obtaining and performing data preprocessing on new energy output data and external environmental data, and extracting strongly correlated features from the new energy output data and the external environmental data after the data preprocessing; performing feature expansion on the strongly correlated features, and inputting the strongly correlated features after the feature expansion into a preconstructed regression forecasting model, to obtain a first forecast value; obtaining and performing data preprocessing on user load data and load influencing factor data, and inputting the user load data and the load influencing factor data after the data preprocessing into a FNN-LSTM hybrid model, to obtain a second forecast value; and calculating a difference between the second forecast value and the first forecast value, to obtain a net load forecasting result.

Abstract: There is provided a technique that includes a load port on which a plurality of storage containers, each storage container storing a plurality of substrates, are mounted, a plurality of process chambers configured to be capable of accommodating the substrates, a transfer part configured to transfer the substrates stored in each storage container to each of the process chambers; an operation part configured to, when performing the process in a state in which a substrate is not present in each process chamber, count first count data of data tables for corresponding process chambers; a memory configured to store the data tables; and a controller configured to assign first transfer flag data to a data table of a process chamber having largest first count data and configured to control the transfer part based on the first transfer flag data so as to transfer the substrates in the predetermined order.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, a using a bot management framework to provide bot management solutions for software bots deployed in a robotic process automation (RPA) system. In one aspect, a method includes the actions of receiving, from a RPA system, information regarding a software bot deployed within the RPA system to perform an assigned task, the information including incident data from an anomaly in the RPA system while the software bot performed the assigned task; mapping the received incident data according to a common data model; determining a resolution for the anomaly based an analysis through a trained artificial intelligence model of the mapped incident data; and executing the determined resolution.

Abstract: Embodiments of this present disclosure may include systems that perform operations including receiving a request to access data of an industrial automation device from a requesting device and identifying the industrial automation device based on the request. The operations may include sending a query for template data to the industrial automation device based on the request and symbolic data operations. The template data may include one or more instantaneous values associated with the industrial automation device. The operations may include sending the template data to the requesting device.

Abstract: A building management system includes building equipment operable to affect a physical state or condition of a building, a system manager coupled to the building equipment via a system bus, and a cloud-based data platform. The system manager is configured to gather schedule information from the building equipment and create a first schedule configuration file including the schedule information. The cloud-based data platform includes a data adaptor configured to receive the first schedule configuration file from the system manager, extract the schedule information from the first schedule configuration file, and save the schedule information in the cloud-based data platform.

Abstract: Systems and methods for managing power supplied over an electric power grid by an electric utility and/or other market participants to a multiplicity of grid elements and devices for supply and/or load curtailment as supply, each of which having a supply equivalence value associated with its energy consumption and/or reduction in consumption and/or supply, and wherein messaging is managed through a network by a coordinator using IP messaging for communication with the grid elements and devices, with the energy management system (EMS), and with the utilities, market participants, and/or grid operators.