Provided herein are systems, methods, and software to facilitate automatic generation of type-based reporting model and reports associated with an industrial automation environment. In one implementation, one or more computer-readable storage media have program instructions stored thereon, wherein the program instructions, when executed by a computing system, direct the computing system to at least access a source of data containing information related to operation of a system and identify at least one object in the information related to a data property. The program instructions also direct the computing system to create an asset definition of the at least one object, instantiate a model of the at least one object in an asset model based on the asset definition, and generate a report comprising an aspect of the model based on the data property.

A work center for automated subtractive machining includes machine frame components, material and parts handling components, control components, and communications components. The machine frame components may include a fixturing system, a CNC, a column, a spindle, and a cutting tool. The material and parts handling components may include material handling robotics, machined part handling robotics, material viewing, machined part viewing, and racks for stock materials, tools, and finished parts. The control components may include robotics controllers, viewer controllers, fixturing control, and an interactive process plan automation control (IPPAC). The IPPAC may include process planning/editing hardware & software, process control hardware & software, a device command interpreter, CAM hardware & software, SCADA hardware & software, which may include SCADA supervisory control and/or SCADA data acquisition components, database hardware & software, and communications hardware & software.

To easily generate a dynamic model for performing a dynamic simulation of a plant, an apparatus, a method and a program are provided, the apparatus including a static model acquiring unit configured to acquire a static model indicating a steady state of the plant, a piping and instrumentation diagram data acquiring unit configured to acquire piping and instrumentation diagram data of the plant, and a matching unit configured to match a device included in the static model with a device included in the piping and instrumentation diagram data to identify a device-to-device correspondence relation.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

The embodiments of the present disclosure provide a physical digital twin modeling method and apparatus for an assembly, an electronic device and a medium. The physical digital twin modeling method for the assembly includes: generating a geometric distribution error surface of an assembly surface of a part; establishing an ideal model of the part without the geometric distribution error surface; integrating the geometric distribution error surface with the ideal model to establish a geometric distribution error integrated model of the part; assembling the geometric distribution error integrated model on a computer to establish a geometric digital twin model; and adding physical conditions to the geometric digital twin model of the assembly to establish a physical digital twin model of the assembly.

Systems and methods for modeling and controlling entities of a building system are provided. An exemplary method includes comparing an input indicating a new entity or connection between entities of a building system to a data model for the building system to determine whether the new entity or connection is represented in the data model, extending the data model to define the new entity or connection in response to determining that the new entity or connection is not represented in the data model, and using the data model with the new entity or connection in a control strategy to generate control decisions for the entities of the building system.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

The disclosure is directed to a novel system and methods for modeling process components using segmental analysis. As opposed to analyzing the entire system at once, each element representing a process component is assigned parameter inputs that enable the system to determine a current state. Changes in the element's parameter inputs are fed in a bi-directional manner to other elements connected by segments where the other elements use the parameter inputs to determine a predictive or current process condition that are used as new parameter inputs for the next element. In some embodiments, the system allows for the prevention of component state change with only a portion of the entire process being solved, as abnormal conditions can be detected without solving for the entire system.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.