Radio Mesh Proximity Risk Characterization via Two-Way Ping Signals
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current safety systems for motor vehicles, such as parking sensors and backup cameras, are insufficient in preventing accidents due to multiple hazards and hidden obstacles, leading to a significant number of avoidable injuries and fatalities, particularly in congested areas with high population density and complex topography.
Innovation Solution
A radio mesh network system that utilizes frequency distribution maps of two-way ping signals to characterize proximity risks, incorporating IoT devices and machine learning to detect and alert vehicles and pedestrians of potential hazards, enabling advanced warning and risk assessment through peer-to-peer communication and central communication devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional safety devices (parking sensors, backup cameras) are used, then basic hazard detection is provided, but they fail to detect multiple hazards and hidden obstacles effectively
Solution Approach 1:
The system segments the detection task by deploying multiple independent detection nodes (vehicles, smartphones, IoT devices) throughout the environment. Each node independently monitors its local vicinity using radio communications, and the collective data from all segments provides comprehensive hazard detection that overcomes the limitations of any single traditional sensor system.
Solution Approach 2:
The patent merges multiple detection sources (radio mesh network data, GPS information, Bluetooth signals, IoT sensor data) into a unified hazard detection system. By combining these diverse data sources, the system achieves more reliable and accurate hazard detection than any single system could provide alone.
2Reliability
If GPS and Bluetooth are used for location and communication, then basic positioning and device communication are achieved, but they fail in complex environments with high population density
Solution Approach 1:
The system changes the operational parameters of radio communications by using mmWave frequencies with specific transmission power levels and modulation schemes optimized for dense urban environments. This allows the system to maintain reliable communication where traditional GPS and Bluetooth fail due to signal blockage and interference.
Solution Approach 2:
The patent introduces intermediary devices (smartphones, IoT devices, mesh network nodes) that relay communications between vehicles and the central server. These intermediaries overcome the limitations of direct GPS/Bluetooth communication by providing multiple hops and alternative pathways for data transmission in complex environments.
3Reliability
If a comprehensive hazard detection system is implemented, then accident prevention capability is improved, but system complexity increases
Solution Approach 1:
The system implements self-service through autonomous vehicles and devices that independently perform hazard detection, data collection, and risk assessment without requiring complex centralized control. Each node in the mesh network autonomously contributes to the overall safety system, reducing the complexity burden on any single component.
Solution Approach 2:
The patent incorporates continuous feedback loops where detection data from all nodes is constantly analyzed by machine learning algorithms, and results are fed back to adjust detection parameters and alert users in real-time. This feedback mechanism allows the complex system to self-optimize and maintain effectiveness without requiring manual intervention.
Data Source
AI summary
Methods and apparatus relating to characterizing proximity risks within a radio mesh are described. In an embodiment, collection logic receives risk data from one or more source devices and memory stores the risk data. Pattern logic analyzes the stored risk data to determine existence of one or more risks. The risk data includes results of two-way ping signals communicated between the one or more source devices and a target device. Other embodiments are also disclosed and claimed.