An Industrial Internet of Things (IIoT) agent module or device preferably used as or in place of a Supervisory Control and Data Acquisition (SCADA) data node system and/or conventional SCADA system, which is operatively coupled and in communication with an IIoT cloud platform, so as to perform control and data acquisition operations and exchange data and commands automatically or in response to Inputs from the IIoT cloud platform; wherein all production details/settings/parameters, including process logic, control methodology, product recipe, and data point setup, can be dynamically changed based on decision/input/command of the IIoT cloud platform, such that the IIoT cloud platform might completely “re-configure/re-program” a software portion of the IIoT agent module or device governing its working behavior or characteristics by sending a reconfiguration/reprogramming information.

A method includes identifying at least one of historical data associated with historical substrate lots processed by substrate processing tools in a substrate processing facility or simulated data for simulated substrate lots processed by simulated substrate processing tools. The method further includes generating features from the at least one of the historical data for the historical substrate lots or the simulated data for the simulated substrate lots. The method further includes training a machine learning model with data input comprising the features to generate a trained machine learning model. The trained machine learning model is capable of generating one or more outputs indicative of one or more corrective actions to be performed in the substrate processing facility.

An in-ground geothermal heat pump (GHP) closed loop optimization method is disclosed for designing, analyzing, optimizing, controlling, and simulating a detailed model and analysis of a building's in-ground geothermal heat pump system, including borehole length, number of boreholes, heat pump capacity, grid layout, total electric operating costs, efficiency ratios, and hybrid designs, among others. In one aspect of the disclosure described herein, the GHP optimization method can reliably and efficiently predict and optimized the fluctuations of the GHP equipment performance in very small increments which enable the determination of energy consumption and demand information on a specific and unique hourly schedule basis for the building design, including incorporating thermal load data for each individual zone of the building. More specifically, the small increment method here can be used to eliminate overly broad approximations by evaluating GHP performance that is specific to building dynamics, constants, and variables for all of the building individual zones and the building's hourly operating schedule, thereby providing an efficient, reliable, simple, and effective geothermal heat pump design and simulation model.

A method for generating an orthotic device is disclosed. The method includes receiving data from a client device of a patient, the data comprising patient information and image data representative of a body part of the patient. The method further includes generating, based on the image data, three-dimensional model data representative of the body part, and generating parametric CAD model data of the orthotic device based on the three-dimensional model data and the patient information. The parametric CAD model data is transmitted to a three-dimensional printer, wherein the three-dimensional printer is to generate the orthotic device based on the parametric CAD model data.

In example embodiments, a multi-stage PFS diagram generation technique is used to iteratively define the layout of a PFS diagram from a subset of engineering data in a 3D model of an industrial process. The multi-stage PFS diagram generation technique may repeatedly call an automatic layout generator, which each time solves for one unknown quality of the PFS diagram (e.g., relative positions of components in the PFS diagram, positions on components in the PFS diagram, sizes of the components in the PFS diagram). The PFS diagram may be adapted based on user preferences, for example to define the subset of engineering data, or to constrain aspects of its layout. Updated PFS diagrams may be generated by selecting different user preferences.

Provided herein are systems, methods, and software for facilitating message sessions. In one implementation, a method for building a type-based reporting model associated with an industrial automation environment includes interrogating a system control to acquire a data structure programmed therein, the data structure comprising properties of a component of the industrial automation environment. The method also includes correlating the data structure to a type package object, and generating a model object based on the correlation of the data structure to the type package object, the model configured to visually display the properties of the component on a report.

Provided are a method and a system for a slag thickness detection and a slag-adding prediction. The method includes: acquiring real-time measurement data and real-time auxiliary data of a slag point on a surface of a protective slag layer of a casting mold; calculating a real-time slag thickness value corresponding to the slag point by using the real-time measurement data and the real-time auxiliary data of the slag point; and predicting a location on the surface of the protective slag layer where a slag-adding is to be performed and a slag-adding time when the slag-adding is to be performed based on a change in the real-time slag thickness value corresponding to the slag point by taking a preset slag thickness value as a reference.

A simulation apparatus includes: a memory to store information on the shape of a workpiece, information on a cross section of a portion of the workpiece, and information on definition points indicating the shape of an edge surface of tool edges of a machining tool; a first calculator to perform a calculation to obtain passage points in a three-dimensional coordinate system; a second calculator to cause the cross section in the three-dimensional coordinate system to be disposed parallel to a plane defined by predetermined two of the axes of the three-dimensional coordinate system, thus converting the passage points in the three-dimensional coordinate system into passage points in a two-dimensional coordinate system; and a third calculator to decide, in accordance with the passage points in the two-dimensional coordinate system, the shape of a tooth profile to be formed on the workpiece in the two-dimensional coordinate system.

A method for generating an orthotic device is disclosed. The method includes receiving data from a client device of a patient, the data comprising patient information and image data representative of a body part of the patient. The method further includes generating, based on the image data, three-dimensional model data representative of the body part, and generating parametric CAD model data of the orthotic device based on the three-dimensional model data and the patient information. The parametric CAD model data is transmitted to a three-dimensional printer, wherein the three-dimensional printer is to generate the orthotic device based on the parametric CAD model data.

Provided is a control parameter automatic-adjustment apparatus that adjusts a control parameter which is used when a control apparatus of a plant calculates an operational control signal, the apparatus including: a simulator that simulates operation of the plant; a learning unit that searches for an optimal control parameter using the simulator; and a knowledge database that stores knowledge information which associates an amount of change in the control parameter with an amount of change in a state of the plant, in which the learning unit includes a search range determination unit that determines a control parameter search range based on the knowledge information that is stored in the knowledge database.