首页|Patent Issued for Automation system and a method for injecting transactional services in automation (USPTO 11875158)

Patent Issued for Automation system and a method for injecting transactional services in automation (USPTO 11875158)

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From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Ludwig, Hartmut (West Windsor, NJ, US), Wang, Lingyun (Princeton, NJ, US), filed on February 18, 2020, was published online on January 16, 2024. The patent’s assignee for patent number 11875158 is Siemens Aktiengesellschaft (Munich, Germany). News editors obtained the following quote from the background information supplied by the inventors: “1. Field “Aspects of the present invention generally relate to an automation system and a method for injecting transactional services in automation. “2. Description of the Related Art “Automation functions, automation equipment, and automation engineering systems and tools are all locked into the vendor specific eco-systems today. The common automation services as listed as follows, Costs calculation, Quality of Service verification, Security, Safety, Intellectual protection, Performance, key performance indicator (KPI) calculation, Versioning, Diagnostic, Prognostic, and Tracing require “transactional” knowledge of the system. For example, to implement a cost calculation service based on the movement of robot arms. The knowledge of the number of movements and the parameters (e.g. distance) of each movement is required for the calculation. Today, such services require very tight integration with the automation function program. In many cases, they are part of one monolithic body of code. Therefore, it is very difficult to develop, deploy, integrate, and enable during operation, such automation services for a given automation system, let alone reusing the developed automation services. In this document, these services are referred to as “transactional automation services” or “interceptors”. Throughout this document the mechanism to manage these services will be referred to as “gatekeeper”.

BusinessComputersEmerging TechnologiesEngineeringMachine LearningRobotRoboticsSiemens AktiengesellschaftSoftware

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.1)