Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model for predicting event tags. The system obtains asset data for an electric power distribution system in a geographic area. The asset data includes: for each of a plurality of electrical assets of the electrical power distribution system, data indicating one or more characteristics of the electrical asset. The system further obtains sensor data for the electric power distribution system. The sensor data includes measurement data from a plurality of electric sensors. The system generates, by processing the asset data and the sensor data, partition data that includes, for each of the plurality of electrical assets, an assignment that assigns the electrical asset to one of a set of feeder networks.

Abstract: An energy storage system includes an energy storage device that stores energy generated from a new and renewable energy power plant, a power management device that monitors a total amount of power produced by at least one new and renewable energy power plant in a plurality of regions, determines an operation mode of the energy storage device based on a result of monitoring a reference capacity of an integrated line through which power of the plurality of regions is transmitted and a result of monitoring the total power amount, and controls a power capacity flowing through the integrated line according to the operation mode, and a power conversion device that receives a command corresponding to the operation mode from the power management device and controls an operation of the energy storage device according to the command.

Abstract: A method may include obtaining, in real-time, well data regarding a wellbore and drilling fluid data regarding drilling fluid circulating in the wellbore. The method may further include determining, based on the drilling fluid data, a plastic viscosity (PV) value and a yield point (YP) value regarding the drilling fluid. The method may further include determining, based on the well data and the drilling fluid data, an equivalent circulating density (ECD) value of an annulus of the wellbore. The method may further include determining a hole cleaning efficiency (HCE) value based on a hole cleaning model, the PV value, the YP value, and the ECD value. The method may further include determining an adjusted rate of penetration (ROP) value for a drilling operation in the wellbore based on the HCE value and a current ROP value. The method may further include transmitting a command to a drilling system that produces the adjusted ROP value in the drilling operation.

Abstract: A spindle vibration measuring system which measures vibration of a spindle in a machining device that performs a cutting or abrading process on a workpiece. The machining device has a workpiece holder that holds the workpiece, the spindle that holds a tool, and a moving mechanism that relatively moves the workpiece holder and the spindle. The spindle vibration measuring system acquires positional variation data or vibration data of the moving mechanism when the spindle rotates, and a result related to vibration of the spindle to output or store based on the positional variation data or the vibration data.

Abstract: A multi-layer architecture for control of distributed energy resources (DER) includes a forecasting and optimization system and one or more site-level controllers. The forecasting and optimization system generates predictions of optimal set points and communicate the optimal set points to a site-level controller. The site-level controller includes stored instructions that, when executed, direct the site-level controller to perform a boundary check and a real-time static economic dispatch, which can include steps of receiving optimal set points from the forecasting and optimization system; comparing received optimal set points with local conditions; outputting dispatch commands for DER control according to the optimal set points when the optimal set points are within appropriate limits with respect to the local conditions; and when the optimal set points exceed the appropriate limits, generating adjusted dispatch commands and outputting the adjusted dispatch commands for the DER control.

Abstract: An IoT gateway at a client site uses sensing functions and actuating functions to safely implement actions for equipment. The client provides, to the IoT service, specifications for a sensing function and one or more actuating functions that are to communicate with the sensing function. The functions are deployed to the IoT gateway at the client site. The sensing function may be assigned read only access to the equipment and the actuating function may be assigned write only access to the equipment. The sensing function may collect data from the equipment and determine that a condition has been met (e.g., temperature is above an upper limit). In response, the sensing function provides an indication of an action to the actuating function (e.g., via a unique topic). If the action is a supported action, then the actuating function causes the equipment to perform the action; otherwise, it ignores the indicated action.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a neural network to predict locations of feeders in an electrical power grid. One of the methods includes training a generative adversarial network comprising a generator and a discriminator; and generating, by the generator, from input images, output images with feeder metadata that represents predicted locations of feeder assets, including receiving by the generator a first input image and generating by the generator a corresponding first output image with first feeder data that identifies one or more feeder assets and their respective locations, wherein the one or more feeder assets had not been identified in any input to the generator.

Abstract: A radar measuring device for process automation in an industrial environment with integrated safety area monitoring having a controller which is set up to adjust the direction of the radar transmission signal emitted in such a way that the safety area around the object is completely irradiated even if the object moves.

Abstract: According to one embodiment, an information processing apparatus includes: receiving circuitry and the controlling circuitry. The receiving circuitry receives operation data of an energy system being capable of inputting and outputting power to and from a power line to which a power system and a load are connected, and the energy system including a hydrogen production apparatus producing hydrogen, a first hydrogen accumulation apparatus accumulating the hydrogen, a first power generation apparatus generating power using the hydrogen accumulated in the first hydrogen accumulation apparatus, and a storage battery capable of charging and discharging.

Abstract: A system for performing a task according to a reference trajectory is provided. The system includes at least one actuator configured to change a state of the system according to a control input, and a memory configured to store a model of dynamics of the system including a known part of the dynamics of the system as a function of the state of the system and the control input to the system and an unknown part of the dynamics of the system as a function of the state of the system, wherein the unknown part of the dynamics of the system is represented by parameters of a probabilistic distribution including a first-order moment and a second-order moment of the probabilistic distribution. The system also includes a control system configured to recursively determine and submit the control input to the actuator to change the state of the system.

Abstract: A control method and device for a low-temperature cooling air valve include: obtaining an actual system pressure, an ambient temperature, and a system energy requirement; and determining an opening degree pre according to the actual system pressure, the ambient temperature, and the system energy requirement. The control method is employed to perform combined control on the low-temperature cooling air valve according to the system high pressure, the ambient temperature and the system energy requirement, and can refine the range of opening degrees of the low-temperature cooling air valve and determine an opening degree thereof, thereby facilitating cooling operation of a multi-split air conditioning system in an ultra-low temperature environment, while also increasing the reliability of the cooling operation at low temperature and expanding the operation range.

Abstract: This disclosure describes techniques that include managing flows of energy within a system that includes a data center and using at least some of the energy flows to provide power to the data center. In some examples, this disclosure describes a system comprising a power generation system, a battery storage system having a state of charge attribute, and processing circuitry having access to an electrical power grid, the power generation system, and the battery storage system. In one example, the processing circuitry is configured to: determine an energy utilization forecast for a data center; monitor energy availability factors; and determine, based on the energy utilization forecast and the monitored energy availability factors, an energy flow configuration defining energy flows involving with the electrical power grid, the power generation system, the battery storage system, and the data center.

Abstract: A system includes an energy storage device geographically proximate a plurality of load centers. The energy storage device is coupled to one or more of the plurality of load centers for supplying energy to the load centers and is also coupled to an energy generation source for receiving energy from the energy generation source. The system also includes a control system that is operable to receive energy market data, monitor the plurality of load centers, the energy storage device, and the energy generation source, and control the charging and dispatching of the energy storage device based on the monitoring and the energy market data.

Abstract: A method for monitoring an industrial robot. The method includes configuring the robot to perform a certain task during an integration process and storing integration data in the robot identifying the configuration of the robot for performing the task. The method also includes installing the robot in a manufacturing facility, and uploading the stored integration data to the Cloud when the robot is installed in the manufacturing facility. The method further includes capturing production data generated by the robot during operation of the robot in the manufacturing facility, uploading the production data to the Cloud, and comparing the production data to the integration data.

Abstract: Methods and systems are provided for optimizing energy management of an energy resource site. For instance, a hierarchical energy management system can provide optimized management of energy resource sites with large numbers of energy resources. In particular, the hierarchical energy management system can effectively control energy resources by allocating functionality using different tiers. For instance, one or more energy resources devices can comprise the lowest tier of the hierarchical energy management system. The next tier of the hierarchical energy management system can comprise one or more controllers that can manage the energy resource devices. The next tier of the hierarchical energy management system, a resource manager, generally manages the set of controllers.

Abstract: A computer-implemented method for defect analysis is provided. The computer-implemented method includes calculating a plurality of weight-of-evidence (WOE) scores respectively for a plurality of device operations with respect to detects occurred during a fabrication period, a higher WOE score indicating a higher correlation between a defect and a device operation; and ranking the plurality of WOE scores to obtain a list of selected device operations highly correlated with the defects occurred during the fabrication period, device operations in the list of selected device operations having a WOE score greater than a first threshold score. A respective one of the plurality of device operations is a respective device defined by a respective operation site at which the respective device perform a respective operation.

Abstract: A system and a method for scheduling an automation process controlling a machine. The system including a parser module for parsing calendar data, the calendar data comprising calendar events including clock data and task data. The system further including a clock module for monitoring time instances and triggering the parser module to parse the calendar data to retrieve the task data of a calendar event that is identified by clock data corresponding to a time instance; and a task module for processing the task data of the calendar event to obtain machine control data for execution on a machine.

Abstract: Provided is an information processing method executed by a computer. The information processing method includes detecting a cough or a sneeze of a person who is in a predetermined space; acquiring an image of the predetermined space captured when the cough or the sneeze is detected; recognizing a state around a mouth of the person from the image; generating, based on the recognized state around the mouth of the person, a control signal for controlling at least one of a direction or a volume of air that is to be sent from an airflow generation apparatus that generates an airflow in the predetermined space; and outputting the generated control signal.

Abstract: The present invention relates to a computer implemented system configured for controlling and monitoring of a pump, the system comprising a pump system, at least one sensor providing an operating state data signal representative of a mechanical, fluidicly, electrical operating state and/or other system data of the pump and/or pump system and a control module controlling the mechanical, fluidicly and/or operating state of the pump in response to a received control signal. The invention also comprises a digital twin module being configured for retrieving said operating state data signal and store the data in the IoT data base.

Abstract: A system for optimizing blending for mass production produced products. The system may include a processor configured to aggregate material information, aggregate production information, model consumer liking of the at least one product, and provide plan information for controlling production resources based on the material information, the production information, and the consumer liking. The material information can be associated with a product input of the at least one product. The production information can be associated with the production resources of the at least one product.