Vehicle Sensor Network for Smog Analysis via 5G
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Solution Overview
Problem
Current smog analysis and prediction technologies face challenges in accurately determining and forecasting smog levels due to the complexity of smog generation factors, which affects human health and vehicular mobility, and lack efficient methods for dynamic and real-time data collection and distribution.
Innovation Solution
A computer-implemented method and system utilizing a 5G cellular network to send data collection signals to vehicles equipped with sensors, analyze sensor data for smog status, and distribute traffic information, including smog status and forecasts, across a network of resources, optimizing data collection based on geographic boundaries and external data sources for accurate and timely analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple mobile sensors in vehicles are used to collect smog data, then measurement precision and real-time monitoring capability are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system divides the smog monitoring task into multiple segments, with each vehicle equipped with sensors collecting local data. The core network server then aggregates and analyzes data from multiple vehicle segments to generate comprehensive smog status and forecasts, improving measurement precision while distributing system complexity across multiple simple units rather than requiring one complex centralized sensor system
Solution Approach 2:
The patent makes vehicles serve multiple functions: they act as both transportation devices and mobile sensing nodes for smog monitoring. The existing vehicle infrastructure is leveraged for data collection, eliminating the need for dedicated stationary monitoring stations and reducing overall system complexity while improving spatial coverage and measurement accuracy
2Productivity
If data is collected and analyzed in real-time across the network, then productivity and response time are improved, but use of energy and computational resources increase
Solution Approach 1:
The core network server pre-processes and aggregates data from multiple vehicles before generating smog status reports and forecasts. This preliminary action at the server side reduces the computational burden on individual vehicles and minimizes real-time processing requirements, improving overall productivity while managing energy consumption through efficient centralized processing rather than distributed real-time computation
Solution Approach 2:
The system creates simplified data copies and summaries for distribution to vehicles rather than transmitting and processing complete raw datasets. The core server generates condensed traffic information including smog status that can be quickly processed and displayed in vehicles, improving response time while reducing the energy required for data transmission and processing across the network
Data Source
AI summary
Disclosed is a system, computer program product and computer-implemented method for smog analysis which provides sending a data collection signal to one or more vehicles including one or more sensors via a base station, receiving data from the one or more vehicles, including sensor data, analyzing the received data for determining a smog status, and sending traffic information to a plurality of vehicles. The traffic information may include the determined smog status and the plurality of vehicles may include the one or more vehicles.