·Shandong Province takes the lead in trial operation of vehicle exhaust cloud detection in China

In order to further promote the pilot project of “Regional Motor Vehicle Cloud Inspection Operation Management Service Project”, from October 14th, Shandong Province will test the vehicle exhaust gas cloud detection technology in four cities such as Jinan, and accurately manage the vehicle discharge volume, exceeding the standard and High-pollution vehicles will take measures to limit or eliminate, which will reduce the amount of motor vehicle pollution by 70%.


At present, Shandong is collecting accurate data on the original emission pollution of motor vehicles through cloud detection technology, combining high-intelligence detection equipment with cloud computing and Internet of Things technologies, further researching regional motor vehicle pollution total control and formulating emission classification management measures for vehicles. Sewage is subject to grading management, such as: 2 grams per kilometer of sewage discharge, the following is a green car, 2 grams to 5 grams per kilometer of sewage is listed as a standard vehicle, 5 grams to 10 grams per kilometer of sewage is over-standard, and 10 grams per kilometer is discharged. High pollution car.

Deputy Director of the Environmental Protection Department of Shandong Province Xie Feng said: "So far, we have carried out tests on motor vehicles for more than ten years, but they are not very ideal. The most important reason is that the detection methods are not uniform, the operation is not standardized, and there is no supervision. And monitoring. We take cloud detection. For example, Shandong Province uses a unified monitoring network to manage hundreds or even thousands of production inspection lines, trying to detect all data within 10% of the error, so that these pollutions can be The car is eliminated."

It is understood that in order to wake up the owner's consciousness of pollution control and control my pollution, Shandong Province will conduct a one-month "experience cloud detection, fight for green car owners" activities in Jinan, Laiwu, Zibo, Tai'an and other cities in Shandong. 21 loop inspection lines are synchronized with the cloud management platform to carry out vehicle detection. During the event, the owner can experience it for free, and the mobile phone can know the amount of sewage discharged by the vehicle. At the same time, the vehicle that has passed the detection of less than 2g per kilometer of emission will be rewarded with “green car owner”. It also encourages free maintenance and maintenance of the super-standard sewage truck, effectively promoting the owner to consciously reduce the exhaust emissions.

According to statistics, 10% to 15% of the “cars in use” in the localities are seriously exceeding the standard (known as “high-pollution vehicles”), and their pollution accounts for about 70% of the total vehicle emissions.

At present, the main measures for controlling motor vehicle pollution in China are to improve the standards of new vehicles, improve the quality of oil products, and distinguish yellow and green labels according to the age of vehicles in use. However, China's new car management implements the "recording directory system", and it has become a hidden rule to spend money on the catalogue; the improvement of oil quality only limits the sulfur content, and has little effect on reducing haze; The one-size-fits-all policy of green label management is unfair to vehicles that meet the standards and cannot effectively control high-pollution vehicles.

Yan Lanqing, deputy director of the National Motor Vehicle Pollution Prevention and Control Committee, said: "The difference between cloud detection and the original traditional detection methods is mainly reflected in two aspects: cloud detection is a ruler, and all the detection items are judged to ensure that The fairness of the test data and the validity and availability of the policy data; cloud detection also has the role of process data supervision, mainly to detect data quality problems, provide effective and available pollution data for the government, and provide services for pollution control."

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