G05B2219/40068

INDUSTRIAL INTERNET OF THINGS FOR MATERIAL TRANSPORTATION CONTROL, CONTROL METHODS AND MEDIA THEREOF

The present disclosure discloses an Industrial Internet of Things for material transportation control, a control method and a medium thereof, wherein the management platform in the Industrial Internet of Things includes: an obtaining module configured to generate a first layout directed graph; a material module configured to assign a material requirement to a corresponding material end point and assign a material supply to a corresponding material start point; a decomposition module configured to divide each material end point into a plurality of sub-nodes; a reconstruction module configured to form a third layout directed graph; a first calculation module configured to calculate a first path; a correction module configured to form an intermediate layout directed graph; and a second calculation module configured to calculate a second path.

PRODUCTION SYSTEMS AND PRODUCTION CONTROL METHODS WITH LOCATING SYSTEM-BASED SIMULATIONS OF PRODUCTION SEQUENCES
20220057787 · 2022-02-24 ·

The disclosure relates to digital models of a production apparatus. The digital models can generate simulations of production sequences of the production apparatus, and a controller can access the simulation to improve operations of the production apparatus. The digital model uses data of a locating system to create the simulation. The locating system monitors carriers for transporting components. The controller can compare parameters of the simulation results with corresponding parameters of earlier simulation results and/or actually obtained parameters of earlier production sequences, which can be stored in a model library. The disclosure further relates to corresponding production control methods.

A METHOD FOR CONTROLLING A MATERIAL PROCESSING DEVICE AND A LOAD-CARRYING VEHICLE
20220147012 · 2022-05-12 ·

A method including determining a total amount of unprocessed material that has been dumped into the material processing device during a first time period determining a total amount of unprocessed material that has been processed during the first time period; determining a reference level of unprocessed material at the first point in time; predicting, based on the current level of unprocessed material contained in the material processing device and on an expected future processing rate of the material processing device at least one of an earlier and a later point in time at which the level of unprocessed material is expected to fall below a lower or upper limit; establishing a desired time-of-arrival period extending between a start point and an end point corresponding to the earlier and later points in time respectively; and adapting a speed of the first load-carrying vehicle.

Method for controlling a material, processing device and a load-carrying vehicle

A method including determining a total amount of unprocessed material that has been dumped into the material processing device during a first time period determining a total amount of unprocessed material that has been processed during the first time period; determining a reference level of unprocessed material at the first point in time; predicting, based on the current level of unprocessed material contained in the material processing device and on an expected future processing rate of the material processing device at least one of an earlier and a later point in time at which the level of unprocessed material is expected to fall below a lower or upper limit; establishing a desired time-of-arrival period extending between a start point and an end point corresponding to the earlier and later points in time respectively; and adapting a speed of the first load-carrying vehicle.

Industrial internet of things for material transportation control, control methods and media thereof

The present disclosure discloses an Industrial Internet of Things for material transportation control, a control method and a medium thereof, wherein the management platform in the Industrial Internet of Things includes: an obtaining module configured to generate a first layout directed graph; a material module configured to assign a material requirement to a corresponding material end point and assign a material supply to a corresponding material start point; a decomposition module configured to divide each material end point into a plurality of sub-nodes; a reconstruction module configured to form a third layout directed graph; a first calculation module configured to calculate a first path; a correction module configured to form an intermediate layout directed graph; and a second calculation module configured to calculate a second path.

INDUSTRIAL INTERNET OF THINGS FOR DETERMINING MATERIAL TRANSPORTATION PATHS, CONTROL METHODS AND MEDIA THEREOF

The present disclosure discloses an Industrial Internet of Things for determining a material transportation path, a control method and a medium thereof, wherein the management platform in the Industrial Internet of Things includes: an obtaining module configured to generate a first layout directed graph; a material module configured to assign a material requirement to a corresponding material end point and assign a material supply to a corresponding material start point; a reconstruction module configured to reconstruct the first layout directed graph and form a third layout directed graph; a first calculation module configured to calculate a first path; a correction module configured to form an intermediate layout directed graph; and a second calculation module configured to calculate a second path.

METHOD TO SUPPORT AUTONOMOUS ROBOT-TO-ROBOT IDENTIFICATION AND TASK TRANSFER

Described herein is a technique that provides a first robot associated with a first trust domain to identify and authenticate a second robot associated with a second trust domain. The identification and authentication technique described herein is based on a robot processing a variety of input signals obtained via sensors, in order to generate robot identification information that can be compared with known or trusted information. Advantageously, the identification technique occurs locally, for example, at the robot and at the location of the robot-to-robot interaction, eliminating any requirement for communicating with an authoritative remote or cloud-based service, at the time and place of the robot-to-robot interaction.

Industrial Internet of Things for determining material transportation paths, control methods and media thereof

The present disclosure discloses an Industrial Internet of Things for determining a material transportation path, a control method and a medium thereof, wherein the management platform in the Industrial Internet of Things includes: an obtaining module configured to generate a first layout directed graph; a material module configured to assign a material requirement to a corresponding material end point and assign a material supply to a corresponding material start point; a reconstruction module configured to reconstruct the first layout directed graph and form a third layout directed graph; a first calculation module configured to calculate a first path; a correction module configured to form an intermediate layout directed graph; and a second calculation module configured to calculate a second path.

QUEUE TIME CONTROL
20250028304 · 2025-01-23 ·

A method includes determining a predetermined queue time associated with a process recipe. The predetermined queue time is associated with an amount of time a substrate is at a location prior to being moved from the location. The method further includes causing control of speed associated with one or more components of a substrate processing system based on the predetermined queue time. The control of speed is associated with transfer of the substrate.

Production systems and production control methods with locating system-based simulations of production sequences

The disclosure relates to digital models of a production apparatus. The digital models can generate simulations of production sequences of the production apparatus, and a controller can access the simulation to improve operations of the production apparatus. The digital model uses data of a locating system to create the simulation. The locating system monitors carriers for transporting components. The controller can compare parameters of the simulation results with corresponding parameters of earlier simulation results and/or actually obtained parameters of earlier production sequences, which can be stored in a model library. The disclosure further relates to corresponding production control methods.