Vehicle Emission Detection Using VSP Binning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current remote sensing methods for vehicle exhaust emissions only consider a limited Vehicle Specific Power (VSP) range for data validity, leading to misjudgment and exclusion of critical emission data outside this range, which is not conducive to scientific and refined management.
Innovation Solution
A method and system that divide VSP into multiple bins, classify vehicles by type, and perform statistical analysis on remote sensing data using probability distribution methods to determine high-emission vehicles, incorporating data beyond the traditional VSP determination interval for more accurate emission monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a limited VSP range is selected for the determination interval of vehicle remote sensing data, then the complexity of data processing is reduced, but a large amount of emission data outside this range is excluded, leading to misjudgment and reduced measurement precision
Solution Approach 1:
The patent divides the VSP determination interval into multiple VSP bins (e.g., 0-5 kW/ton, 5-10 kW/ton, 10-15 kW/ton, 15-20 kW/ton, and beyond 20 kW/ton) instead of using a single limited range. This segmentation allows comprehensive inclusion of all emission data while enabling differentiated statistical analysis for each bin, thereby improving measurement precision without overwhelming complexity
Solution Approach 2:
The patent changes the approach from using a fixed VSP range filter to a dynamic binning system where data is categorized into multiple VSP bins based on actual measurement values. This parameter transformation allows the system to handle the full spectrum of VSP values while maintaining structured analysis through probability distribution methods for each bin
2Reliability
If remote sensing detection is conducted during normal vehicle driving, then the representativeness of emission data is improved, but the complexity of data processing and analysis increases due to variable driving conditions
Solution Approach 1:
The patent segments the continuous remote sensing data into discrete VSP bins, organizing the complex variable data from normal driving conditions into structured categories. This segmentation enables systematic statistical analysis while preserving the representativeness of real-world driving emission data
Solution Approach 2:
The patent employs probability distribution methods that provide feedback mechanisms to evaluate emission data within each VSP bin. This feedback approach allows the system to automatically adjust and refine emission evaluations based on the statistical characteristics of data from normal driving conditions, improving reliability while managing complexity
3Ease of operation
If only one VSP bin is used for the determination interval, then the ease of operation is improved, but the ability to perform refined emission evaluation across different driving conditions is reduced
Solution Approach 1:
The patent divides the VSP determination interval into multiple bins (0-5, 5-10, 10-15, 15-20, and beyond 20 kW/ton) to enable differentiated emission evaluations for different driving conditions. Each bin can be analyzed with appropriate statistical methods, providing refined evaluation capability while maintaining a systematic and manageable structure
Solution Approach 2:
The patent creates a universal binning framework that can handle various vehicle types and emission scenarios within a single determination system. The multi-bin structure provides versatility to evaluate emissions across different VSP ranges while maintaining consistent methodology, achieving both adaptability and ease of operation
Data Source
AI summary
The present disclosure provides a method and system for detecting exhaust emissions of a vehicle equipped with an ignition engine based on big data of remote sensing. The system includes: a vehicle emission measuring instrument, a host computer, an information display instrument, a vehicle driving state tester, a weather monitor, a license plate camera and a vehicle emission monitoring platform. The vehicle emission measuring instrument, the information display instrument, the vehicle driving state tester, the weather monitor and the license plate camera communicate with the host computer. The host computer is connected to the vehicle emission monitoring platform via the Internet. The present disclosure acquires pollutant concentrations in the vehicle emissions through the detection system, divides a vehicle specific power (VSP) into multiple bins, performs statistical analysis and evaluation on the vehicle emissions according to different vehicle types, and determines high-emission vehicles.