Roadside Sensor Communication Redundancy for Continuous Diagnostics
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Solution Overview
Problem
In traffic infrastructure communication systems, communication device failures or path malfunctions lead to system downtime during diagnosis and maintenance, as existing methods require shutting down the system to investigate and replace malfunctioning components.
Innovation Solution
Implementing system redundancy and diagnostics using multi-core hardware architecture and dual-core lock-step software to recognize failures early, discard erroneous data, and maintain system functionality by processing information across multiple cores, allowing for continued operation during maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of repair
If the system is shut down to replace malfunctioning communication devices, then device replacement can be performed, but system downtime increases and productivity decreases
Solution Approach 1:
The system performs preliminary diagnostics to identify malfunctioning communication devices before they cause system failure. The diagnosis unit continuously monitors communication paths and detects issues early, allowing for scheduled maintenance during non-critical periods rather than emergency shutdowns, thereby reducing unplanned downtime and improving productivity
Solution Approach 2:
The communication system is segmented into multiple independent communication paths and devices. When one device malfunctions, the system can isolate and replace only that specific device while other segments continue operating. This modular approach minimizes the impact on overall system productivity and allows for faster, more targeted repairs
2Difficulty of detecting and measuring
If the system is shut down to diagnose communication path failures, then accurate diagnosis can be performed, but system reliability decreases due to downtime
Solution Approach 1:
The diagnosis unit continuously performs preliminary diagnostic checks on communication paths during normal system operation. By monitoring signal quality, transmission errors, and device status in real-time, the system can identify potential issues before they cause failures, allowing for proactive maintenance without shutting down the system, thus maintaining both diagnostic accuracy and system availability
Solution Approach 2:
The system implements continuous feedback loops where the diagnosis unit monitors communication paths and provides real-time status information to the control unit. This feedback mechanism allows the system to detect and respond to communication issues while maintaining operation, enabling accurate diagnosis without requiring system shutdown and thereby preserving system reliability
Data Source
AI summary
Provided is a processing system to effectuate sensor processing of obstacle information for use in autonomous driving. The apparatus includes a communication module that receives sensor data collected by multiple sensors disposed to capture sensor data in a specified region to detect the obstacles. Additionally, a health status detection modules, in the system, determine the health status of the system and the sensors based on information from the sensors and a communication latency between the communication module and the sensors. The system also includes a sensor processing module to process the sensor data to identify anomalies in the data due to harsh conditions to eliminate any erroneous data.