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

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: 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: 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: 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: The present disclosure describes a method of operating a power plant, comprising: obtaining an energy production forecast for a forecast period; generating a plurality of simulation results associated with simulated operation of the power plant for the forecast period, wherein the plurality of simulation results are generated by simulating operation of the power plant using a plurality of control algorithms; assigning a score to each of the plurality of control algorithms based on the generated plurality of simulation results; selecting a control algorithm from the plurality of control algorithms for the forecast period based on the assigned score for the control algorithm; and operating the power plant in accordance with the control algorithm for a duration of the forecast period.

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.

Abstract: A state machine management component that executes on an edge device within an industrial facility is capable of discovering state machines defined on industrial controllers and translating the state machine definitions to information models that allow the state machines to be discovered and utilized by remote client applications. The edge-level information models allow the client applications to render or consume the state machine data generated by the controller, graphically render the state machines, submit commands, or set values, to the controller as state machine commands via the edge device. The edge-level system thus allows client applications with no prior knowledge of the control-level state machines to discover, retrieve, and interact with state machines defined on the industrial controllers.

Abstract: In an embodiment, the present disclosure discloses a method and a module for controlling data transfer in a manufacturing plant. The IoT module is configured to receive a request for a plurality of parameters from a second application from one or more applications. The request is made by a first application from the one or more applications. The IoT module determines status of the requested parameters. The status indicates if the requested parameters are authorized for sharing. Further, the IoT module transfers only the authorized parameters to the first module based on the status. Thus, the present disclosure provides a method and a IoT module for sharing data securely within the manufacturing plant.

Abstract: The present disclosure relates to an online monitoring method of a nuclear power plant system based on an isolation forest method and a sliding window method. An isolation forest method used in the present disclosure is an abnormal detection model based on the idea of binary tree division, and has no requirements on the dimension and linear characteristics of monitoring data. In view of the characteristics of strong nonlinearity and high dimension of operation data of the nuclear power plant system, in the process of state monitoring, system abnormalities can be detected more quickly and accurately. In the present disclosure, a sliding window method is used to improve an isolation forest model, so that the improved isolation forest model has the functions of model online updating and real-time state monitoring, and the usability of an isolation forest state monitoring method is enhanced.

Abstract: A method may include receiving data representative of one or more commands generated by a model-less controller to control operations of devices within a system and output parameters associated with the devices of the system. The method may also include determining whether the data is indicative of a change in operational characteristics of the system and generating a model representative of the operational characteristics of the system as a function of the data based on a Bayesian optimization algorithm in response to the data being indicative of the change. The method may also involve transmitting an excitation input to the devices in response to the data not being indicative of the change, receiving updated output parameters associated with the devices of the system after the excitation input is transmitted, and generating the model based on the updated output parameters and the excitation input.

Abstract: A three-dimensional shaped article production method includes a first step of dividing a gap region that is a gap region sandwiched by multiple partial paths and includes one or multiple concave shapes at an outer circumference based on first data having path data representing a path in which an ejection section moves while ejecting a shaping material by multiple partial paths, and having ejection control data including at least either of ejection amount information representing an ejection amount of the shaping material in each of the partial paths and moving speed information representing a moving speed of the ejection section in each of the partial paths, a second step of generating second data from the first data by changing at least either of the path data and the ejection control data so as to fill up the divided gap region with the shaping material, and a third step of shaping the three-dimensional shaped article by controlling the ejection section according to the second data.

Abstract: Provided is a process, including: receiving, via the network interface, from a remote user device, a command to change a state of the fluid-handling device to a target state; translating the received command into a translated command operative to cause a local controller of the fluid-handling device to drive the fluid-handling equipment to the target state, the local controller being responsive to the command and feedback from the fluid-handling device indicative of whether the fluid-handling device is in the target state; and sending the translated command to the local controller.

Abstract: Methods and systems are provided for a power tool in control of a vacuum. In response to activation input, the power tool controls a motor for driving power tool operation and wirelessly transmits a control signal to a vacuum. In response to receiving the control signal, the vacuum controls a motor for driving operation of the vacuum. The power tool, the vacuum, or both include a wireless communication pairing butting for paring the power tool and the vacuum. The power tool and/or the vacuum may be cordless and powered by a battery pack.