A method in an industrial process control system comprises creating a control strategy for an industrial process, running a simulation of the control strategy, and rewinding the simulation of the control strategy. Rewinding the control strategy includes setting the simulation to a previous point in time of the simulation. The method further includes displaying the simulation on a display. The method can further comprise capturing process variable states from an online process and fast forwarding the simulation of the control strategy, wherein fast forwarding the control strategy includes progressing the simulation forward from a state represented by the captured process variable states.

Data communications are enabled between a machine and a remote service application. When user-based credential data is valid, an authorization code is provided from an authorization service application to the machine. The authorization code and a request for a first access token are received and in response, the first access token is sent from the authorization service application to the first machine. The first machine responsively sends the first access token and an enrollment request to an enrollment service application. The enrollment service application sends machine credential data to the first machine to permit the first machine later access to cloud-based applications.

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 robot system models the behavior of a user when the user occupies an operating zone associated with a robot. The robot system predicts future behaviors of the user, and then determines whether those predicted behaviors interfere with anticipated behaviors of the robot. When such interference may occur, the robot system generates dynamics adjustments that can be implemented by the robot to avoid such interference. The robot system may also generate dynamics adjustments that can be implemented by the user to avoid such interference.

Systems and methods described herein are configured for managing industrial assets. In an example embodiment, information about industrial assets or their use conditions, such as gathered from sensors embedded at or near industrial machines or assets themselves, can be aggregated, analyzed, and processed in software residing locally or remotely from the assets. In an example embodiment, applications can be provided to optimize an industrial asset for operation in a business context. In an example embodiment, a cloud-based asset management platform can include development tools to facilitate development, by end-users, of applications for interfacing with and optimizing industrial assets, and for managing relationships between various industrial assets.

Data communications are enabled between a machine and a remote service application. When user-based credential data is valid, an authorization code is provided from an authorization service application to the machine. The authorization code and a request for a first access token are received and in response, the first access token is sent from the authorization service application to the first machine. The first machine responsively sends the first access token and an enrollment request to an enrollment service application. The enrollment service application sends machine credential data to the first machine to permit the first machine later access to cloud-based applications.

Approaches for using a device-based authentication certificate to obtain data access to a cloud-based destination application are provided. Using an edge manager device, a token and data access request is received from a machine. The edge manager device is configured to administer data access to one or more cloud-based applications.

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 method of fabrication for a component to be installed in a facility, the facility being represented by an electronic design model, the method including extracting, at a computing device and from the model, details of the component and controlling a plurality of stations with the computing device to fabricate and track the component.

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.