Data Transmission Monitoring with Fault Node Identification
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Solution Overview
Problem
In manufacturing environments, identifying abnormal data nodes in data transmission systems is challenging, leading to delayed troubleshooting and potential data loss due to the complexity of data collection and transmission processes, making it difficult for users to quickly determine which equipment is experiencing issues.
Innovation Solution
A monitoring method and system that includes data collection, analysis, and monitoring terminals to detect abnormalities by providing distinct messages when data is not received from either the analysis or collection equipment, allowing for quick identification of faulty nodes and facilitating timely maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data transmission monitoring is implemented through multiple data nodes, then data collection comprehensiveness is improved, but troubleshooting time increases and system stability decreases
Solution Approach 1:
The patent applies preliminary action by pre-configuring each data node with unique identification information and establishing a monitoring mechanism that proactively tracks data transmission status. When abnormality occurs, the system immediately identifies which node failed to transmit data, eliminating the need for manual investigation and significantly reducing troubleshooting time while maintaining comprehensive monitoring coverage
Solution Approach 2:
The patent implements feedback by creating a closed-loop monitoring system where each data node's transmission status is continuously tracked and reported. The monitoring terminal receives feedback from each node about data reception status, enabling real-time identification of abnormal nodes and facilitating rapid response to maintain system stability
2Loss of information
If data transmission monitoring is implemented through multiple data nodes, then data collection comprehensiveness is improved, but system stability decreases
Solution Approach 1:
By pre-configuring each data node with unique identification information and establishing a monitoring mechanism before abnormalities occur, the system can immediately identify which node failed when problems arise. This preliminary setup maintains comprehensive monitoring coverage while enabling rapid fault isolation and recovery, thereby improving system stability
Solution Approach 2:
The closed-loop feedback mechanism continuously monitors data transmission status from each node and immediately reports abnormalities to the monitoring terminal. This real-time feedback enables rapid detection and response to failures, preventing cascading effects and maintaining overall system stability despite individual node failures
3Measurement precision
If manual investigation and troubleshooting are performed, then accurate fault identification is achieved, but productivity decreases
Solution Approach 1:
The patent applies self-service by enabling the monitoring system to automatically identify abnormal data nodes through pre-configured identification information and status tracking. The system autonomously determines which node failed to transmit data without requiring manual investigation, thereby maintaining accurate fault identification while significantly improving troubleshooting efficiency and overall productivity
Data Source
AI summary
A monitoring method for data transmission includes the following steps. Collection data is provided by data collection equipment when determining that equipment data has been received from an equipment terminal. Analysis data is provided by analysis equipment when determining that the collection data has been received from the data collection equipment. A data transmission state is displayed on a monitoring terminal when determining that the analysis data has been received from the analysis equipment. A first abnormal message is provided in response to the analysis data not having been received, and the data transmission state includes the first abnormal message indicating that the analysis equipment is abnormal. A second abnormal message is provided in response to the collection data not having been received, and the data transmission state includes the second abnormal message indicating that the collection equipment is abnormal.