IoT Sensor Timing Synchronization for Low-Latency Anomaly Detection
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Solution Overview
Problem
In the manufacturing industry, particularly in continuous production processes like radio frequency cable production, existing systems lack accurate timing synchronization and anomaly detection, leading to inefficiencies and material waste due to inadequate data timestamping and high network latency in radio systems.
Innovation Solution
An enhanced measurement reporting mechanism that uses the receipt time at a base station as a stable time reference, incorporating data sequence identifiers and accurate timestamps for anomaly detection analysis, enabling near real-time monitoring and reducing data loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional measurement reporting mechanisms are used in continuous production processes, then device complexity is reduced, but timing synchronization precision and anomaly detection capability deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-configuring data sequence identifiers and timestamp formats at the measurement device before data collection. This preparation enables automatic timing synchronization without requiring complex post-processing, thereby improving timing precision while avoiding increased device complexity during operation.
Solution Approach 2:
The patent introduces an intermediary mechanism in the form of standardized data packets that carry both measurement values and timing information. This intermediary structure facilitates precise timing synchronization between distributed devices without requiring direct complex communication protocols, thus improving synchronization precision while maintaining manageable device complexity.
2Reliability
If accurate timestamping and timing synchronization are implemented, then anomaly detection capability is improved, but network latency and data transmission time increase
Solution Approach 1:
The patent applies preliminary action by attaching timestamps and sequence identifiers to measurement data at the source device before transmission. This pre-packaging eliminates the need for complex timestamp generation and synchronization at the receiving end, thereby improving anomaly detection capability while minimizing additional network latency.
Solution Approach 2:
The patent segments the timing synchronization function into independent data fields (timestamps, sequence identifiers) within the measurement data packet. This segmentation allows receiving devices to extract and process timing information efficiently without waiting for complete data transmission, thus improving anomaly detection capability while reducing the impact of network latency.
3Manufacturing precision
If timing synchronization mechanism with data sequence identifiers is used, then manufacturing precision of process control is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by designing a multi-functional data packet structure that simultaneously carries measurement values, timestamps, sequence identifiers, and anomaly flags. This universal packet format enables precise process control while avoiding the need for multiple specialized devices or complex communication protocols, thus improving manufacturing precision without proportionally increasing device complexity.
Solution Approach 2:
The patent applies preliminary action by pre-defining the data packet structure and identifier formats at the device configuration stage. This preparation enables automated timing synchronization and process control without requiring complex real-time processing logic, thereby improving manufacturing precision while keeping operational device complexity manageable.
4Productivity
If continuous monitoring and anomaly detection are performed in real-time, then productivity is improved, but loss of energy and computational resources increases
Solution Approach 1:
The patent applies partial action by implementing selective anomaly detection that focuses computational resources on detecting specific predefined anomaly patterns in the timing and sequence data. Rather than performing exhaustive analysis on all measurement data, the system only triggers detailed analysis when timing deviations or sequence disruptions are detected, thus improving productivity while minimizing unnecessary energy consumption.
Solution Approach 2:
The patent applies preliminary action by pre-configuring anomaly detection thresholds and patterns based on historical production data. This preparation enables the system to quickly compare incoming measurement data against known anomaly patterns without requiring complex real-time analysis, thereby improving productivity while reducing computational energy consumption during continuous monitoring.
Data Source
AI summary
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.