Abstract: The invention relates to a method for accessing SCADA data of a wind turbine in a protected manner and to an assembly designed to carry out said method. The SCADA data together with master data of the wind turbine is transmitted to a broker server in a digitally signed form, said broker server generating a metadata set on the basis of said data and transmitting the metadata set to user clients. If the user client is interested in the SCADA data, the user client transmits the metadata set back to the broker server in a digitally signed form. The broker server responds with a likewise digitally signed delivery data set comprising the metadata set signed by the user client and the SCADA and master data belonging to the metadata set.

Abstract: A method of automatic optimization of ROP. The method obtains a plurality of drilling surface parameters for a field of interest, and determines an UCS data and a MSE data for a targeted formation based on well logs. The method further trains a ML model using the drilling surface parameters as inputs, and outputs a plurality of weights for drilling parameters in a ROP equation and in a Teale's MSE equation for the field of interest. The method further combines the ML ROP equation with the Teale's MSE equation to determine a plurality of optimum drilling parameters by simultaneously solving the set of ML ROP equation and the Teale's MSE equation. Furthermore, the method generates a work order to adjust the drilling parameters and cause display of the work order and the determined optimum drilling parameters in a user interface of a client device.

Abstract: An HVAC control system is provided that is configured to prompt a user to indicate whether or not they are comfortable under current environmental conditions. In some instances the HVAC control system may be configured to prompt the user to provide additional information regarding other factors that may affect their comfort. The HVAC control system may use the information collected from the user to control an HVAC system to achieve and/or maintain an environmental condition within a building at a level at which the user is expected to be comfortable.

Abstract: In one embodiment, a method for managing a heatsink of an information handling system includes: determining, by a controller unit of the information handling system, that a vibration event is to occur, the vibration event associated with a vibration unit of the information handling system, the controller unit communicably coupled to the vibration unit, the vibration unit removably coupled to the heatsink; and causing, by the controller unit, the vibration unit to generate the vibration event, the vibration event causing the vibration unit to apply one or more vibrations to the heatsink, the one or more vibrations causing a boundary layer of particles to be removed from a surface of the heatsink.

Abstract: The present disclosure provides an industrial IoT for correction and regulation of a defective product, a control method, and a storage medium. The industrial IoT includes a user platform, a service platform, a management platform, and a sensing network platform that interact in sequence. The service platform, the management platform, and the sensing network platform are all arranged in a front-sub-platform layout. The control method is applied in the industrial IoT. The industrial IoT may calculate whether a defective product is correctable according to a correction cost of the defective product, and may reduce the correction cost and a time consumption of a corresponding correction device, thereby reducing correction cost of the defective product and a loss in a manufacturing process, further ensuring a normal product manufacturing efficiency of the correction device, and thus reducing a correction loss of a waste product and the defective product.

Abstract: A system and method for allocating exported energy in a utility network is provided. A system and method comprising measuring the exported energy and a consumed energy via one or more IoT edge devices connected to a cloud computing infrastructure and coupled to one or more distributed energy resources in a community of energy consumers via a telecommunication network. Storing the measured exported energy and consumed energy on a memory coupled to a processor in the cloud computing infrastructure. Selecting one or more allocation algorithms executed by the processor based on the measured exported energy. Distributing and assigning the exported energy according to the one or more allocation algorithms selected and differentiating the community of energy consumers based on the one or more allocation algorithms selected.

Abstract: The present disclosure provides an Industrial Internet of Things for implementing a production task plan, including at least one user platform, a service platform, a management platform, a sensor network platform, and one or more object platforms that are interacted sequentially from top to bottom; the service platform is arranged in an independent layout, the management platform is arranged in a front sub platform layout, and the sensor network platform is arranged in a rear sub platform layout; the one or more object platforms are configured as one or more intelligent manufacturing devices or one or more manufacturing management devices.

Abstract: An online prediction method of tool-electrode consumption adapted for an electrical discharge machining (EDM) apparatus includes an experimental design; extracting electrode consumption variables from machining parameters of the electrical discharge machining (EDM) apparatus; and obtaining a correlation between the machining parameters and the electrode consumption variables through a correlation analysis to obtain a prediction model capable of predicting an effective contact area of a tool-electrode and a workpiece. In addition, a prediction method of machining accuracy is provided.

Abstract: An example method for simultaneously manufacturing a plurality of objects is described. The method includes simultaneously cycling a plurality of pallets through a conveyor system. The conveyor system is cyclical, and the conveyor system includes an entrance point for each pallet, an exit point, and a plurality of manufacturing points corresponding to a plurality of manufacturing devices. Simultaneously cycling the plurality of pallets includes simultaneously cycling the plurality of pallets past the plurality of manufacturing points for two or more cycles, wherein each pallet is associated with a set of manufacturing instructions for a corresponding object. The method further includes, while simultaneously cycling the plurality of pallets through the conveyor system, using a different combination of the plurality of manufacturing devices to manufacture each object in accordance with the set of manufacturing instructions associated with each pallet, thereby manufacturing different objects for each pallet.

Abstract: It is proposed a method for factory operation. The method includes providing manufacturing tasks each represented by a law describing a manufacturing of a product by one or more manageable machines. The method includes obtaining one or more manufacturing constraints and one or more manufacturing events. The method includes determining an operating mode of the factory based on the one or more manufacturing constraints and on one or more product constraints. The determining includes one or more iterations. Each iteration computes a respective propensity of each manufacturing task representing a frequency with which the task is chosen for manufacturing the product given the constraints and/or a previous event(s) occurrence. The iteration ranks the tasks according to a propensity descending order. The iteration visits the tasks according to the ranking and affecting to each task one or more manageable machines and resources. The iteration executes the tasks until an event(s).

Abstract: A multi-point measurement system and a multi-point measurement method are provided. The multi-point measurement system is for measuring a device under testing and comprises a plurality of sensors and a computing device. The sensors are respectively attached to a plurality of measuring points of the device under testing. The computing device comprises a computing unit and a storage unit; the computing unit comprises a learning module, and the computing device establishes communication connections to the sensors respectively. The sensors generate original sensing data and transmit them to the storage unit for storage. The computing unit inputs processed sensing data obtained by preprocessing the original sensing data into the learning module for data analysis, and obtains a plurality of reference values corresponding to the sensors respectively.

Abstract: A coal management system includes a central control system and a plurality of monitoring points. The plurality of monitoring points are arranged at a plurality of pieces of production equipment. A method of controlling the coal management system includes the plurality of monitoring points acquiring monitoring data, the central control system selecting a candidate feature set and constructing a coal model according to the monitoring data, the central control system generating an operation recommendation of a controlled monitoring point of the plurality of monitoring points according to the coal model, and a piece of production equipment performing an operation according to the operation recommendation to achieve a target operation condition.

Abstract: A method includes receiving part data associated with a corresponding part of substrate processing equipment, sensor data associated with one or more corresponding substrate processing operations performed by the substrate processing equipment to produce one or more corresponding substrates, and metrology data associated with the one or more corresponding substrates produced by the one or more corresponding substrate processing operations performed by the substrate processing equipment that includes the corresponding part. The method further includes generating sets of aggregated part-sensor-metrology data including a corresponding set of part data, a corresponding set of sensor data, and a corresponding set of metrology data. The method further includes causing analysis of the sets of aggregated part-sensor-metrology data to generate one or more outputs to perform a corrective action associated with the corresponding part of the substrate processing equipment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes identifying a procedural instance; determining a temporal extent for the procedural instance based on temporal extent parameters for the one or more entities in the procedural instance; selecting control settings for the procedural instance; monitoring environment responses to the control settings that are received for the one or more entities; determining which of the environment responses to attribute to the procedural instance in a causal model; and adjusting, based at least in part on the environment responses that are attributed to the procedural instance, the temporal extent parameters for the one or more entities.

Abstract: Laser cutting systems and methods are described herein. One or more systems include a laser, an optical component, a fixture for holding a support with a part positioned on the support, and a controller. The controller is configured to identify a cut path for trimming excess material from a dental appliance, determine adjustment instructions for adjusting a focal length of the laser to cut along the cut path, and trim the excess material from the dental appliance along the cut path with the laser. The focal length is adjusted by adjusting at least one of: the laser, the optical component, and the fixture, and while moving the fixture at a constant speed relative to the laser to avoid increasing a brittleness of a polymer material of the dental appliance along the cut path.

Abstract: A model predictive maintenance system for building equipment. The system includes one or more processing circuits including one or more processors and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include performing an optimization of an objective function that defines a present value of a total cost of operating the building equipment and performing maintenance on the building equipment as a function of operating decisions and maintenance decisions for the building equipment for time steps within a time period. The total cost includes one or more costs incurred during one or more future time steps of the time period. The operations include operating the building equipment and performing maintenance on the building equipment in accordance with decisions defined by the result of the optimization.

Abstract: Apparatus and methods for welding asset tracking with heartbeat monitoring are disclosed. In some examples, a welding asset tracking system may comprise an asset tracking network of tags, hubs, and/or gateways retained by welding assets within a welding area. The welding asset tracking system may generate heartbeat signals that certain welding assets may require for normal operation, so as to ensure the welding assets are used in appropriate welding contexts and/or welding areas. In some examples, information obtained from the asset tracking network may be used to determine whether one or more heartbeat signals should be discontinued.

Abstract: A machine tool machining dimensions prediction device (100) includes: a data collector (10) to acquire driving state information of a machine tool; a feature amount extractor (211) to extract a feature amount from the driving state information; a data analyzer (311) to analyze the extracted feature amount; and a machining quality prediction model generator (312) to generate, from the analyzed information, a prediction model of a machining dimension of a workpiece. The machine tool machining dimensions prediction device (100) applies the feature amount and the driving state information to the prediction model during machining of the workpiece to predict a machining quality and refers to a machining dimension quality regulation to determine whether the machining quality satisfies a standard.

Abstract: Disclosed is a system for controlling pool/spa components. More particularly, disclosed is a system for controlling pool/spa components including a display screen and one or more processors presenting a control user interface for display on the display screen, wherein the control user interface includes a home screen comprising a first portion containing a first plurality of buttons and/or controls for controlling a first group of the plurality of pool/spa components associated with a first body of water, and a second portion containing a second plurality of buttons and/or controls for controlling a second group of the plurality of pool/spa components associated with a second body of water.

Abstract: A load control is provided which includes a wall-box mounted housing, an electrical device to control electrical power to a load, and a control assembly to control the electrical device. The control assembly includes a user-programmable control, with a saved settings data structure having multiple columns and rows of control settings, and a control interface with first and second button switches to selectively advance through the columns and rows of the settings data structure in a settings mode of the control. The button switches are selectable by a user without disassembly of the load control, and the control interface also includes one or more indicator devices to signal a column of the settings data structure to which the control has been advanced in the settings mode of the control, and to signal a row of the settings data structure to which the control has been advanced.