A display method of a manufacturing status to visualize a manufacturing status of products each manufactured through processing performed by a plurality of apparatuses included in a manufacturing line includes identifying, for each product to be manufactured in a certain manufacturing unit, a starting time or an ending time or both of the processing performed on the product by a first apparatus and a starting time or an ending time or both of the processing performed on the product by a second apparatus based on log information of the first apparatus and log information of the second apparatus, the first and the second apparatuses being included in the manufacturing line, the second apparatus performing the processing after the processing performed by the first apparatus, using a processor.

A method of monitoring and controlling an industrial process includes capturing images of a non-sensible process condition of the industrial process with an image capture device, receiving the images of the non-sensible process condition with a computer system, and converting each image into a corresponding numeric value with a machine learning model stored in and operable by the computer system. The corresponding numeric value is then received and compared to a predetermined numeric value for the non-sensible process condition with a closed-loop controller, and an actuator operates with the closed-loop controller to adjust operation of the industrial process when the corresponding numeric value fails to match the predetermined numeric value or is outside of a defined threshold near the predetermined numeric value.

The subject matter of this specification can be implemented in, among other things, a method, system, and/or device to receive current metrology data for an operation on a current sample in a fabrication process. The metrology data includes a current value for a parameter at each of one or more locations on the current sample. The method further includes determining a current rate of change of the parameter value for each of the one or more locations. The current rate of change is associated with the current sample. The method further includes identifying one or more violating locations each having an associated current rate of change of the parameter value that is greater than an associated reference rate of change of the parameter value, and identifying an instance of abnormality of the fabrication process based on the one or more violating locations.

A distributed automation control system includes a network for connecting members of the system to a central server for communication between the members and the central server. The members can include a device controlled by a microcontroller in communication with the network, a mobile object digitized to communicate with the central server via the network, and a facility component in communication with the central server. A member can be assigned to one or more groups of members for group learning and for generating a group heartbeat. Each member defines a safety volume which is monitored by the central server. When the safety volume of one member overlaps the safety volume of another member, the central server initiates a responsive action which can include ceasing the operation of at least one of the members.

A system includes a processing device, operatively coupled to the memory device, to perform operations comprising obtaining a plurality of sensor values associated with a deposition process performed, according to a recipe, in a process chamber to deposit film on a surface of a substrate; generating a manufacturing data graph based on the plurality of sensor values; receiving, via a user interface, a selection of a data point on the manufacturing graph; receiving failure data associated with the data point; and storing, in a data structure, the failure data to be accessible via the user interface presenting the manufacturing data graph.

The invention relates to a device (10) for at least one industrial automated process (110), in particular a weighing and/or packing and/or arranging and/or packing process, comprising: at least one sensor (30) for determining at least one process data value which is relevant to the entire process by detecting at least one partial process parameter of the device (10), which parameter is relevant to the entire process, a processing device (40), which is electrically connected to the sensor (30) for processing the process data value, an interface device (50) for data connection and for forwarding the process data value to at least one individual machine (2a, 2b, 2c) located upstream and/or downstream in the process (110), wherein the total process (110) can be evaluated with reference to the process data value by comparison with a pre-defined process instruction (130).

A digital twin model based plant operation and optimization is provided. Systems and methods of the solution can receive data on assets of a plant, the assets' topology, connectivity and flow and deployed physical instruments along with the measurements of the physical instruments. The solution generate a model having a plurality of layers based on the received data and provide one or more virtual instruments in the model. The solution can determine, based on a set of relationships for interactions between assets and the received measurements input into the model, one or more virtual measurement for the one or more virtual instruments and generate, responsive to a comparison with a threshold, a notification to service at least one of the assets at the plant.

A management system is configured to manage an apparatus configured to perform a modeling process for generating three-dimensional modeled object. The management system includes an apparatus data acquiring unit, and a state determining unit. The apparatus data acquiring unit is configured to acquire apparatus data on an operation of the apparatus. The state determining unit is configured to determine a state of the apparatus, using the acquired apparatus data and reference data corresponding to a reference state of the apparatus to be managed.

A system for visual state identification including: a visual display system including a plurality of light displays, each of the light displays provided to different physical locations on an automation system; an execution device operatively connected to the visual display system, including: an input device configured to receive data from the automation system; and computer readable instructions which, if executed by a processor, cause the processor to: receive input data; determine a state of the automation system based on the input data, wherein the state may include an area of interest related to one of the different physical locations; communicate with the visual display system to selectively light a portion of one or more of the plurality of light displays to display the state of the automation system and the physical location of the area of interest.

A method and device for monitoring production equipment and a storage medium includes: a measurement result of production equipment to be monitored is acquired; the measurement result of the production equipment to be monitored is evaluated on at least one evaluation dimension to obtain an evaluation result on each evaluation dimension; and a production state of the production equipment to be monitored is determined based on the evaluation result on the at least one evaluation dimension. The production state includes a normal state and an abnormal state. The at least one evaluation dimension includes at least one of a process level of products, a statistical significance of products or a distribution trend of products.