Embodiments of this present disclosure may include systems that perform operations including receiving a first symbol instance from an industrial automation device. The first template object instance may characterize a dataset accessible to the industrial automation device. Symbol object instances may inherit a categorization with respect to categories associated with the industrial automation device including an identity, a state, a runtime status, a maintenance status, sustainability information, or any combination thereof. The operations may include identifying a type of the industrial automation device based on the first symbol instance and generating template data based on the type of the industrial automation device and the first symbol instance. The template data may include values associated with the dataset and the categories associated with the first symbol instance. The operations may also include sending a control signal to the industrial automation device based on the template data.

An industrial integrated development environment (IDE) supports collaborative tools that allow multiple designers and programmers to remotely submit design input to the same automation system project in parallel while maintaining project consistency. The industrial IDE also permits localized development of system projects, and provides an infrastructure for intelligently brokering between conflicting edits submitted to common portions of the system project. Project edits submitted to the IDE system, both applied and unapplied, are stored as edit records, allowing edits to be selectively undone or applied either manually or as part of a rollback to a milestone version.

A non-transitory, computer-readable medium includes computer-executable instructions that, when executed, by one or more processors associated with a first input/output (I/O) component in an industrial automation system, cause the processors to perform operations. The first I/O component may operate in a single duplex (“suplex”) mode of operation. The operations include detecting a second I/O component in the industrial automation system, determining that a first hardware configuration, a first software configuration, or both, associated with the first I/O component is compatible with a second hardware configuration, a second software configuration, or both, associated with the second I/O component, and reconfiguring the first I/O component to operate in a duplex mode of operation.

Embodiments of the present disclosure disclose a method and apparatus for customizing knitted products. A specific embodiment of the method includes: receiving knitting program instructions of basic products uploaded regularly by factories to a cloud-based customization platform; generating a design file and an order of a new product in response to a customer designing the new product on the cloud-based customization platform and placing the order; replacing the design file of the corresponding basic product with the design file of the new product to generate the knitting program for making the new product, and generating a working file executable by a knitting machine; sending the order and the working file to an intelligent factory system or manufacturing execution system; and producing the new product by using the knitting machine according to the working file.

A system includes a first asset disposed in an industrial environment configured to perform one or more operations, a second asset disposed in the industrial environment, and a server device communicatively coupled to the first asset and the second asset. The server device is configured to receive a first set of stream-based data from the first asset, receive a second set of stream-based data from the second asset, wherein the first set of stream-based data and the second set of stream-based data are received in real time or near real time, determine whether the one or more operations are within a threshold based on a comparison of the first set of stream-based data with respect to the second set of stream-based data, and send a command to the first asset or the second asset in response to the one or more operations being outside the threshold.

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 system for controlling a production plant includes a plant automation unit for monitoring and control of the production process within the production plant. A production planning system has information concerning the products to be produced. A model generator generates at least one prediction model for products produced in the production plant. The model generator takes into account the results of the monitoring of the production plant when generating the at least one prediction model. A production optimizer determines an optimized production process within the production plant on the basis of data from the plant automation unit, the production planning system, and the prediction model generated by the model generator. The production optimizer takes into account the production-related specifications of the individual plant parts. A production plant control unit generates target specifications for the plant automation unit on the basis of the optimized production process determined by the production optimizer.

A three-dimensional image forming system according to the present invention includes a conveying unit which conveys a heat-expandable sheet along a conveyance path, a heating unit which heats the heat-expandable sheet by irradiating the heat-expandable sheet with light, and a control unit which preheats the surroundings of the heating unit to a previously determined preheat temperature and then causes the conveying unit to convey the heat-expandable sheet.

The present disclosure relates to a brick making system, a production control method, a production control device, a production system, a production equipment, and a computer-readable record medium. The brick making system includes: a brick making machine; a bottom material distribution device connected to one side of the brick making machine to feed bottom material to the brick making machine in a first direction; and a surface material distribution device connected to the other side of the brick making machine adjacent to the one side, to feed surface material to the brick making machine in a second direction. The bottom material distribution device and the surface material distribution device are arranged at adjacent two sides of brick making machine, respectively, so that the occupied space of the brick making system can be reduced.

An industrial internet of things system for intelligent production control is provided, comprising: a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The user platform modifies production line parameters based on an instruction of the user, generates a first instruction, and sends it to the management platform through the transformation of the service platform. The object platform collects production link data of each production link of products and transmits it to the management platform. The management platform modifies work order parameters based on a second instruction transformed by the service platform, generates a third instruction, and determines whether devices corresponding to the plurality of production links are abnormal based on the production link data. The management platform sends the third instruction and the judgment result to the object platform through the sensor network platform to control manufacturing and production line data collection.