Dover Europe Sàrl (20240264781). METHODS, SYSTEMS AND DEVICES FOR IMPLEMENTING REMOTE SERVICES simplified abstract

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METHODS, SYSTEMS AND DEVICES FOR IMPLEMENTING REMOTE SERVICES

Organization Name

Dover Europe Sàrl

Inventor(s)

Prabhas Harlapur of Bangalore (IN)

Sunil Ingawale of Bangalore (IN)

METHODS, SYSTEMS AND DEVICES FOR IMPLEMENTING REMOTE SERVICES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240264781 titled 'METHODS, SYSTEMS AND DEVICES FOR IMPLEMENTING REMOTE SERVICES

The invention pertains to a system and method for providing remote services, involving an industrial printer at a production site, a detecting device for real-time monitoring, an edge node with edge computing capabilities, and a cloud node with cloud computing capabilities.

  • Industrial printer for use in a production site
  • Detecting device for real-time monitoring of printer's functional parameters
  • Edge node with edge computing device for processing real-time data
  • Cloud node with cloud computing device for analyzing data and generating responses
  • Real-time data transmission between printer, edge node, and cloud node

Potential Applications: - Remote monitoring and maintenance of industrial printers - Predictive maintenance to prevent breakdowns - Optimization of printer performance based on real-time data analysis

Problems Solved: - Enables proactive maintenance of industrial printers - Reduces downtime and production losses - Enhances overall efficiency and productivity in manufacturing processes

Benefits: - Improved reliability and performance of industrial printers - Cost savings through predictive maintenance - Enhanced decision-making based on real-time data insights

Commercial Applications: Title: "Remote Industrial Printer Monitoring System" This technology can be utilized in various industries such as manufacturing, packaging, and logistics to ensure optimal performance of industrial printers. It can be marketed to companies seeking to streamline their production processes and minimize equipment downtime.

Prior Art: Researchers can explore existing patents related to remote monitoring systems for industrial equipment, edge computing in manufacturing, and cloud-based data analysis in production environments to understand the evolution of this technology.

Frequently Updated Research: Researchers and industry experts are continuously exploring advancements in edge computing, cloud computing, and real-time data analysis to enhance remote monitoring systems for industrial equipment. Stay updated on the latest developments in these fields to leverage cutting-edge technologies for improved operational efficiency.

Questions about Remote Industrial Printer Monitoring System: 1. How does the system ensure data security and privacy during transmission and analysis? 2. What are the scalability options for this technology in large-scale manufacturing facilities?


Original Abstract Submitted

the invention relates to a system and method for providing remote services, the system comprising: at least one (industrial) printer () for use in a production site (); at least one detecting device () for real-time monitoring and detecting a functional parameter of the printer; an edge node comprising an edge computing device (), the edge computing device comprising one or more processors () configured by programming instructions on non-transient computer readable media; a cloud node comprising a cloud computing device (), the edge computing device comprising one or more processors () configured by programming instructions on non-transient computer readable media, the one or more processors () being configured to: receive real-time data from the printer and/or detecting device; process and analyze received real-time data and compare with internally stored data to generate a response to the received data; transmit the response to the at least one printer; transmit the response and received real-time data to the cloud node; the cloud computing device being configured to: process and analyze the real-time data from the printer and the response from the edge computing device by comparing them with historical data and generate a response with respect to the historical data; and provide the response to a user and/or the edge node.