Comparison of the performance of real-time PM mass and number instrumentation for vehicle exhaust measurements

2007 ◽  
Author(s):  
Maik Bergmann ◽  
Volker Scheer ◽  
Rainer Vogt ◽  
Thorsten Benter
Keyword(s):  
Real Time ◽  
Vehicle Exhaust ◽  
Exhaust Measurements

The Design and Implementation of the Terminal in a Vehicle Exhaust Real Time Detecting System

2012 ◽  
Vol 605-607 ◽  
pp. 1012-1015
Author(s):  
Feng Lin ◽  
Jin Yan ◽  
Zhen Zhou Ye ◽  
Yi Jin Song ◽  
Hong Yan Chen
Keyword(s):  
Real Time ◽  
Urban Areas ◽  
Measuring System ◽  
Environment Protection ◽  
Vehicle Exhaust ◽  
Vehicle Location ◽  
Transient Data ◽  
Online Detecting ◽  
Microcontroller Unit ◽  
Detection Unit

This research proposed a real time exhaust measuring system and realized automatic acquisition of exhaust data. In this research, VMT (Vehicle Mounted Terminal) which is integrated with GPRS module, GPS module,exhaust detection unit and microcontroller unit, collected the concentration of CO2, CO and HC and the vehicle location which were then sent to MC (Monitoring Center) via GSM/GPRS net. In this way, both exhaust transient data under daily running and vehicle location are available to environment protection department, which provided a new method to rid high emitting vehicles in urban areas. The system has extensive practical value in vehicle exhaust online detecting, remote vehicles management and environment monitoring.

The On-Board Measurement of Diesel Vehicle Smoke Intensity System

2012 ◽  
Vol 220-223 ◽  
pp. 684-688
Author(s):  
Hong Yan Chen ◽  
Yi Jin Song
Keyword(s):  
Fixed Point ◽  
Real Time ◽  
Exhaust Emission ◽  
Vehicle Exhaust ◽  
Diesel Vehicle

To real-time monitor vehicle exhaust emission under daily running, this paper proposed a on-board measurement of diesel vehicle smoke intensity system based on GSM/GPRS and GPS, and concentrated on the design of hardware and software of the vehicle mounted terminal. This paper broke the traditional fixed-point way to sample exhaust data and could acquire data of different section, different vehicle types and different time.

Real-time monitoring system of NOx and HC in vehicle exhaust based on DOAS

2020 ◽  
Author(s):  
Geng Liu ◽  
Tongqing Liao ◽  
Yang Tong ◽  
Changyu Zuo ◽  
Bin Li ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Vehicle Exhaust ◽  
Real Time Monitoring

scholarly journals Real-time characterization of particle-bound polycyclic aromatic hydrocarbons in ambient aerosols and from motor-vehicle exhaust

2007 ◽  
Vol 7 (6) ◽  
pp. 17475-17510 ◽  
Author(s):  
A. Polidori ◽  
S. Hu ◽  
S. Biswas ◽  
R. J. Delfino ◽  
C. Sioutas
Keyword(s):  
Lung Cancer ◽  
Los Angeles ◽  
Cancer Risk ◽  
Real Time ◽  
Black Carbon ◽  
Lung Cancer Risk ◽  
Motor Vehicle ◽  
Vehicle Exhaust ◽  
Similar Time ◽  
Polycyclic Aromatic

Abstract. A photo-electric aerosol sensor, a diffusion charger, an Aethalometer, and a continuous particle counter were used along with other real-time instruments to characterize the particle-bound polycyclic aromatic hydrocarbon (p-PAH) content, and the physical/chemical characteristics of aerosols collected a) in Wilmington (CA) near the Los Angeles port and close to 2 major freeways, and b) at a dynamometer testing facility in downtown Los Angeles (CA), where 3 diesel trucks were tested. In Wilmington, the p-PAH, surface area, particle number, and "black" carbon concentrations were 4–8 times higher at 09:00–11:00 a.m. than between 17:00 and 18:00 p.m., suggesting that during rush hour traffic people living in that area are exposed to a higher number of diesel combustion particles enriched in p-PAH coatings. Dynamometer tests revealed that the p-PAH emissions from the "baseline" truck (no catalytic converted) were up to 200 times higher than those from the 2 vehicles equipped with advanced emission control technologies, and increased when the truck was accelerating. In Wilmington, integrated filter samples were collected and analyzed to determine the concentrations of the most abundant p-PAHs. A correlation between the total p-PAH concentration (μg/m3) and the measured photo-electric aerosol sensor signal (fA) was also established. Estimated ambient p-PAH concentrations (Average = 0.64 ng/m3; Standard deviation = 0.46 ng/m3) were in good agreement with those reported in previous studies conducted in Los Angeles during a similar time period. Finally, we calculated the approximate theoretical lifetime (70 years per 24-h/day) lung-cancer risk in the Wilmington area due to inhalation of multi-component p-PAHs and "black" carbon. Our results indicate that the lung-cancer risk is highest during rush hour traffic and lowest in the afternoon, and that the genotoxic risk of the considered p-PAHs does not seem to contribute to a significant part of the total lung-cancer risk attributable to "black" carbon.

scholarly journals Internet of Robotic Things Based Robotic Platform for Smoke and Gas Detector in Automobile

2019 ◽  
Vol 8 (6) ◽  
pp. 2812-2816
Keyword(s):  
Air Pollution ◽  
Real Time ◽  
Monitoring System ◽  
Urban Areas ◽  
Text Message ◽  
Pollutant Emissions ◽  
Great Level ◽  
Vehicle Exhaust ◽  
Vehicle Owner ◽  
Gas Detector

The prime source of the air pollution to arrive at an alarming condition is Automobiles.Automobiles generate enough emissions which is polltuing the atmosphere to a great level and the need of identifying the pollutant emissions has become a tedious task.In order to monitor the pollution emissions, Internet of Things (IoT) has been pioneered through this paper to keep a check on these harmful emanations which are directly effecting the environment.Through this paper a smart vehicle emission monitoring system using IoT is introduced which can literally track down the vehicles which are causing a real threat to the environment. A gas sensor comes in the limelight which can be used as a real-time air polluting monitoring system at any time and at any place.The monitoring data caputred is then shared with the vehicle owner through a text message and a copy of the same data is send to the national environmental agencies to have a better picture of the emission standards.The smart emission system effciently diagnose vehicle exhaust in real time and also perks up the level of diagnosing and the accurateness of the exhaust monitoring system.This system is considered to deliver its best in terms of monitoring air pollution in urban areas and provides a good upshot

scholarly journals Real-time characterization of particle-bound polycyclic aromatic hydrocarbons in ambient aerosols and from motor-vehicle exhaust

2008 ◽  
Vol 8 (5) ◽  
pp. 1277-1291 ◽  
Author(s):  
A. Polidori ◽  
S. Hu ◽  
S. Biswas ◽  
R. J. Delfino ◽  
C. Sioutas
Keyword(s):  
Lung Cancer ◽  
Los Angeles ◽  
Cancer Risk ◽  
Real Time ◽  
Black Carbon ◽  
Lung Cancer Risk ◽  
Motor Vehicle ◽  
Catalytic Converter ◽  
Vehicle Exhaust ◽  
Polycyclic Aromatic

Abstract. A photo-electric aerosol sensor, a diffusion charger, an Aethalometer, and a continuous particle counter were used along with other real-time instruments to characterize the particle-bound polycyclic aromatic hydrocarbon (p-PAH) content, and the physical/chemical characteristics of aerosols collected a) in Wilmington (CA) near the Los Angeles port and close to 2 major freeways, and b) at a dynamometer testing facility in downtown Los Angeles (CA), where 3 diesel trucks were tested. In Wilmington, the p-PAH, surface area, particle number, and "black" carbon concentrations were 4-8 times higher at 09:00–11:00 a.m. than between 17:00 and 18:00 p.m., suggesting that during rush hour traffic people living in that area are exposed to a higher number of diesel combustion particles enriched in p-PAH coatings. Dynamometer tests revealed that the p-PAH emissions from the "baseline" truck (no catalytic converter) were up to 200 times higher than those from the 2 vehicles equipped with advanced emission control technologies, and increased when the truck was accelerating. In Wilmington, integrated filter samples were collected and analyzed to determine the concentrations of the most abundant p-PAHs. A correlation between the total p-PAH concentration (μg/m3) and the measured photo-electric aerosol sensor signal (fA) was also established. Estimated ambient p-PAH concentrations (Average=0.64 ng/m3; Standard deviation=0.46 ng/m3 were in good agreement with those reported in previous studies conducted in Los Angeles during a similar time period. Finally, we calculated the approximate theoretical lifetime (70 years per 24-h/day) lung-cancer risk in the Wilmington area due to inhalation of multi-component p-PAHs and "black" carbon. Our results indicate that the lung-cancer risk is highest during rush hour traffic and lowest in the afternoon, and that the genotoxic risk of the considered p-PAHs does not seem to contribute to a significant part of the total lung-cancer risk attributable to "black" carbon.

A Real-Time Vehicle Exhaust Gas Monitoring Enabled Optimization Approach for Air Pollution Control

2014 ◽  
Vol 602-605 ◽  
pp. 2011-2014 ◽  
Author(s):  
Li Xing Wang ◽  
Ling Jie Hu ◽  
Rui Cong Ma
Keyword(s):  
Real Time ◽  
Measurement Data ◽  
Route Planning ◽  
Case Based Reasoning ◽  
Optimization Approach ◽  
Exhaust Gas ◽  
Air Pollution Control ◽  
Vehicle Exhaust ◽  
Sensor Technique ◽  
Wireless Charge

This research described in the paper proposed a device combining wireless sensor technique, GPS and wireless charge technique. This device can be installed nearby the vehicle tailpipe and transmit measurement data of exhaust gas to the backend system in real-time. It facilitates knowledge of exhaust gas the vehicle generated on the route it passed. With this information, a reference system is developed to estimate gas pollution that will be generated by the vehicle on each route. An artificial intelligent method, case-based reasoning is applied in the system design. Meanwhile, a new mathematical model can be built with additional consideration for gas pollution in route planning and optimization of vehicles. Some optimization approaches, including genetic algorithm, and some other combination algorithm can be applied to get solution of this model with new additional constraints.

Sign in / Sign up

Export Citation Format

Share Document