Vehicle Sensor System for Air Quality Monitoring via LoRa
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Solution Overview
Problem
Current vehicle monitoring systems lack integration of gas sensors and environmental parameters, limiting their ability to effectively monitor air quality and provide comprehensive data for urban management, especially due to sparse gas observation stations and inadequate connectivity for real-time data transmission.
Innovation Solution
A vehicle information and environmental monitoring compound vehicle system equipped with sensors for GPS, air quality, and weather data, utilizing a long-distance low-power Internet of Things gateway and cloud platform for data processing and transmission via LoRa communication protocol, enabling real-time monitoring and data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gas observation stations are established to monitor air quality, then air quality monitoring capability is improved, but the distance between stations causes sparse coverage and monitoring gaps
Solution Approach 1:
The patent segments the air quality monitoring function from fixed ground-based stations and distributes it to multiple mobile vehicles. Each vehicle becomes an independent monitoring node, collectively providing comprehensive coverage without requiring densely spaced fixed stations.
Solution Approach 2:
The patent transforms the static nature of fixed observation stations into dynamic mobile monitoring units. Vehicles move through different areas, dynamically expanding the monitoring coverage area while maintaining measurement precision at each location.
2Measurement precision
If vehicle monitoring systems are equipped with multiple sensors for comprehensive data collection, then monitoring capability is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic data collection and transmission cycles. Sensors collect environmental parameters continuously, but data transmission to the server occurs at scheduled intervals, reducing the average power consumption while maintaining effective monitoring capability.
Solution Approach 2:
The system uses the vehicle's existing operational infrastructure (engine running, electrical systems active) to power sensors and communication devices, rather than requiring dedicated high-power sources. The vehicle's normal operation provides the energy needed for monitoring.
3Speed
If real-time data transmission is implemented for immediate air quality information, then responsiveness is improved, but data loss occurs during transmission
Solution Approach 1:
The patent pre-processes and packages sensor data into standardized formats before transmission. Data is buffered and validated in advance, reducing the need for retransmission and improving reliability while maintaining effective real-time responsiveness.
Solution Approach 2:
The system implements acknowledgment mechanisms where the server confirms receipt of data packets. If transmission fails, the vehicle system receives feedback and retransmits the data, ensuring reliable delivery while maintaining real-time monitoring capability.
4Length of stationary object
If LoRa communication protocol is used for long-distance low-power transmission, then transmission distance and power efficiency are improved, but data packet loss may occur
Solution Approach 1:
The patent sends data packets with redundant information and uses conservative transmission power settings. By transmitting slightly more data than strictly necessary (including error checking and retransmission capability), the system ensures reliable delivery over long distances using LoRa's low-power mode.
Data Source
AI summary
A vehicle information and environmental monitoring compound vehicle system is provided, including a sensor device used as a mobile sensor for collecting sensory data of roads, and the sensor device integrates various sensor modules and the second-generation on board computer diagnostic system serial port. The sensor device also integrates a long-distance low-power Internet of Things (LoRa) communication protocol, which can transmit data through the long-distance low-power Internet of Things gateway, and upload data to the cloud platform based on algorithm. The results of the analysis can establish a wide range of traffic congestion model through the detection information of traffic flow, and traffic density. The use of pixel-based measurement methods can quantify the urban road temperature, establish the urban heat island effect model, analyze the influence of temperature and humidity on the disease spread, establish the disease diffusion model, and display the sensor data in the graphical user interface.