Elisa Oyj (20240340217). SYSTEM AND METHOD FOR OPTIMIZING FAULT DETECTION IN INTERNET OF THINGS NETWORK simplified abstract
Contents
- 1 SYSTEM AND METHOD FOR OPTIMIZING FAULT DETECTION IN INTERNET OF THINGS NETWORK
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR OPTIMIZING FAULT DETECTION IN INTERNET OF THINGS NETWORK - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Optimizing Fault Detection in IoT Networks
- 1.13 Original Abstract Submitted
SYSTEM AND METHOD FOR OPTIMIZING FAULT DETECTION IN INTERNET OF THINGS NETWORK
Organization Name
Inventor(s)
Henri Karikallio of Helsinki (FI)
SYSTEM AND METHOD FOR OPTIMIZING FAULT DETECTION IN INTERNET OF THINGS NETWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240340217 titled 'SYSTEM AND METHOD FOR OPTIMIZING FAULT DETECTION IN INTERNET OF THINGS NETWORK
Simplified Explanation
The patent application describes a method for optimizing fault detection in an Internet of Things (IoT) network by identifying fault activities associated with IoT devices and determining whether they are related to a mobile network or not. Depending on the association, the method generates service tickets for fault correction in either the mobile network or the IoT device.
- Determining fault activities associated with IoT devices in an IoT network.
- Identifying the location information of the IoT device.
- Determining if fault activities are linked to a mobile network based on the location information.
- Generating a service ticket for fault correction in the mobile network if the fault activity is associated with it.
- Generating a field service ticket for fault correction of the IoT device if the fault activity is not related to the mobile network.
Key Features and Innovation
- Fault detection optimization in IoT networks. - Location-based fault activity identification. - Automated generation of service tickets for fault correction. - Distinguishing fault activities related to mobile networks from those that are not.
Potential Applications
This technology can be applied in various industries such as telecommunications, smart home systems, industrial IoT, and healthcare monitoring systems.
Problems Solved
- Efficient fault detection in IoT networks. - Streamlining fault correction processes. - Enhancing network reliability and performance.
Benefits
- Improved fault detection accuracy. - Faster fault correction response times. - Enhanced overall network efficiency.
Commercial Applications
Title: "Optimizing Fault Detection in IoT Networks: Commercial Applications and Market Implications" This technology can be utilized by IoT service providers, network operators, and device manufacturers to enhance the reliability and performance of IoT networks. It can lead to cost savings, improved customer satisfaction, and competitive advantages in the market.
Prior Art
Readers interested in prior art related to fault detection optimization in IoT networks can explore research papers, patents, and industry publications in the fields of IoT, network management, and fault detection algorithms.
Frequently Updated Research
Researchers are continuously exploring new algorithms and technologies to enhance fault detection and correction processes in IoT networks. Stay updated on the latest advancements in IoT network management and fault detection for potential improvements in this technology.
Questions about Optimizing Fault Detection in IoT Networks
How does this technology impact the efficiency of fault detection in IoT networks?
This technology significantly improves the accuracy and speed of fault detection in IoT networks, leading to quicker fault resolution and enhanced network performance.
What are the potential cost-saving benefits for companies implementing this fault detection optimization method?
Companies can save costs associated with prolonged network downtime and manual fault detection processes by implementing this technology, resulting in improved operational efficiency and reduced maintenance expenses.
Original Abstract Submitted
a method for optimizing fault detection in an internet of things (iot) network includes determining a fault activity associated with an iot device in iot network; identifying a location information of iot device; determining whether fault activity is associated with a mobile network corresponding to the location information; performing one of an automation activity of generating a service ticket for fault correction of mobile network, when fault activity is associated with mobile network, or generating a field service ticket for fault correction of the iot device, when fault activity is not associated with mobile network. disclosed also is a system for optimizing fault detection in an iot network, system comprising a processor configured to perform the steps of the aforementioned method.
