View source for 20240019852. CLOUD EDGE NETWORK PROCESS AUTOMATION CONTROL simplified abstract (Verizon Patent and Licensing Inc.)

=CLOUD EDGE NETWORK PROCESS AUTOMATION CONTROL=


==Organization Name==

[[:Category:Verizon Patent and Licensing Inc.|Verizon Patent and Licensing Inc.]]


[[Category:Verizon Patent and Licensing Inc.]]

==Inventor(s)==

[[:Category:Allen Edward Dixon of Gunnison CO (US)|Allen Edward Dixon of Gunnison CO (US)]][[Category:Allen Edward Dixon of Gunnison CO (US)]]

[[:Category:James Beacom Terhorst of Ridgway CO (US)|James Beacom Terhorst of Ridgway CO (US)]][[Category:James Beacom Terhorst of Ridgway CO (US)]]

[[:Category:Seth Howard of Denver CO (US)|Seth Howard of Denver CO (US)]][[Category:Seth Howard of Denver CO (US)]]

[[:Category:Rachel Jaret of Potomac MD (US)|Rachel Jaret of Potomac MD (US)]][[Category:Rachel Jaret of Potomac MD (US)]]

[[:Category:Dmitry Galushko of Hoboken NJ (US)|Dmitry Galushko of Hoboken NJ (US)]][[Category:Dmitry Galushko of Hoboken NJ (US)]]

==CLOUD EDGE NETWORK PROCESS AUTOMATION CONTROL - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240019852 titled 'CLOUD EDGE NETWORK PROCESS AUTOMATION CONTROL

==Simplified Explanation==

The abstract describes a method for automating and controlling processes in a cloud edge network. Here are the bullet points explaining the patent/innovation:

* The method involves receiving a factory application that defines an automated process at a multi-access edge computing device.
* The process modules associated with the factory application are identified.
* The resources required by the process modules are determined.
* Based on the determined resources, the process modules are assigned to devices for execution within the automated process.
* Distributed orchestration information, including the status of the process modules, is provided to the devices.
* Networked plant devices are controlled for middle latency conditions based on the distributed orchestration information.

Potential applications of this technology:

* Industrial automation: This method can be applied in manufacturing plants to automate and control various processes, improving efficiency and reducing human intervention.
* Smart cities: The method can be used to automate and control processes in various infrastructure systems, such as traffic management, waste management, and energy distribution.
* Internet of Things (IoT): By integrating this method with IoT devices, it can enable automation and control of processes in various IoT applications, such as home automation and smart agriculture.

Problems solved by this technology:

* Manual process control: The method eliminates the need for manual intervention in controlling and coordinating processes, reducing human errors and improving overall efficiency.
* Resource optimization: By determining the resources required by process modules and assigning them to devices accordingly, the method ensures optimal utilization of resources.
* Real-time orchestration: The distributed orchestration information allows for real-time monitoring and control of the process modules, enabling quick response to changing conditions.

Benefits of this technology:

* Increased efficiency: Automation and control of processes result in improved productivity and reduced operational costs.
* Enhanced scalability: The method allows for easy scaling of processes by assigning process modules to devices based on available resources.
* Real-time monitoring and control: The distributed orchestration information provides real-time updates on the status of process modules, enabling proactive decision-making and troubleshooting.


==Original Abstract Submitted==

a method for cloud edge network process automation control includes receiving, at a multi-access edge computing device, a factory application defining an automated process; and identifying process modules associated with the factory application. the method further includes determining resources required by the process modules associated with the factory application; and assigning, based on the determining of the resources, the process modules to devices for execution within the automated process. the method further includes providing distributed orchestration information to the devices, where the distributed orchestration information includes a status of the process modules; and controlling networked plant devices for middle latency conditions based upon the distributed orchestration information.



[[Category:G05B19/418]]