18557994. TIMING SYNCHRONIZATION MECHANISM simplified abstract (NOKIA SOLUTIONS AND NETWORKS OY)

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TIMING SYNCHRONIZATION MECHANISM

Organization Name

NOKIA SOLUTIONS AND NETWORKS OY

Inventor(s)

Yongkang Wu of Hangzhou, Zhejiang (CN)

TIMING SYNCHRONIZATION MECHANISM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18557994 titled 'TIMING SYNCHRONIZATION MECHANISM

Simplified Explanation: The patent application relates to a mechanism for timing synchronization and anomaly detection in IoT devices. It involves receiving measurement data with timing information from a device, transmitting this data to a wireless controller for analysis, and using the base station's timing as a reference for synchronization.

Key Features and Innovation:

  • Timing synchronization among IoT sensors or field devices using a stable reference time.
  • Anomaly detection at field devices through intelligent edge computing.
  • Transmission of measurement data with timing information for analysis.

Potential Applications: This technology can be applied in various industries such as manufacturing, healthcare, agriculture, and smart cities for real-time monitoring and anomaly detection in IoT devices.

Problems Solved: The technology addresses the challenges of timing synchronization and timely anomaly detection in IoT devices, ensuring efficient data transmission and analysis.

Benefits:

  • Improved accuracy and reliability in data analysis.
  • Timely detection of anomalies for proactive maintenance.
  • Enhanced efficiency in IoT device communication and synchronization.

Commercial Applications: The technology can be utilized in industries requiring precise timing synchronization and real-time anomaly detection in IoT devices, leading to improved operational efficiency and cost savings.

Prior Art: Prior research in the field of IoT synchronization and anomaly detection includes studies on edge computing, wireless sensor networks, and data analytics for IoT devices.

Frequently Updated Research: Ongoing research in IoT technologies focuses on enhancing edge computing capabilities, improving data analytics algorithms, and developing advanced anomaly detection methods for IoT devices.

Questions about Timing Synchronization and Anomaly Detection in IoT Devices: 1. How does the technology ensure accurate timing synchronization among multiple IoT sensors or field devices? 2. What are the key benefits of using intelligent edge computing for anomaly detection in IoT devices?

Question 1: How does the technology ensure accurate timing synchronization among multiple IoT sensors or field devices?

Answer 1: The technology achieves accurate timing synchronization by using the base station's timing information as a stable reference time for all IoT sensors or field devices, ensuring consistent data transmission and analysis.

Question 2: What are the key benefits of using intelligent edge computing for anomaly detection in IoT devices?

Answer 2: Intelligent edge computing enables timely detection of anomalies at field devices, allowing for proactive maintenance and improved operational efficiency in various industries utilizing IoT technologies.


Original Abstract Submitted

Example embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media of timing synchronization and anomaly detection mechanism. The method comprises: receiving, from a first device, measurement data of an object with data identification information, the first device served by the network device: determining timing information about the measurement data, the timing information indicating a transmission time of the measurement data from the first device: and transmitting the measurement data with the data identification information and the timing information to a wireless controller of the network device for anomaly detection analysis on the object. Using the timing information from the base station as a stable reference time helps to achieve timing synchronization among multiple IoT sensors or field devices. Further, by means of intelligent edge computing, anomaly events occurred or to be occurred at the field devices can be detected in a timely manner.

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