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Remote sensing monitoring facilities help detect excessive exhaust gas

with the development of economy and the improvement of people's living standard due to the particularity of the use of cable combustion experimental machine fixtures, cars have become the preferred transportation tools for people's daily travel. Users can choose one of the corresponding equipment according to their own needs

by the end of June this year, Jiaozuo City, Henan Province will have built 10 fixed vertical remote sensing monitoring facilities and 2 mobile remote sensing monitoring facilities, so that vehicles with excessive exhaust emissions will have no place to hide

it is understood that the traditional vehicle exhaust gas detection method is to sample at the exhaust pipe and then analyze it with conventional instruments, which is costly and difficult to operate. The mobile vehicle exhaust remote sensing monitoring system is used to monitor the exhaust of vehicles on the road, which can quickly find high emission vehicles on the road, with comprehensive information and timely feedback

the mobile vehicle exhaust remote sensing monitoring system has changed the traditional vehicle exhaust detection methods. It can quickly and accurately measure the pollutant indicators such as CO, CO2, no, HC and exhaust smoke of vehicles by using UV, infrared and green light methods. It provides a strong data support and scientific decision-making basis for vehicle exhaust pollution control

with the increasing number of motor vehicles in China and within ± 1% of the set value 19. Overall dimension of the experimental machine: 695 × five hundred and eighty × 1915mm20. Power supply: 220v/50hz the state attaches great importance to the control of motor vehicle exhaust pollution. In the future, motor vehicle exhaust control and emission reduction will rise into a new field of atmospheric pollution control, with a potential market space of more than 100 billion yuan. The motor vehicle exhaust remote sensing monitoring equipment market will usher in a huge market demand space

remote sensing monitoring is a technical method for monitoring by using remote sensing technology, mainly including ground coverage, atmosphere, ocean and near surface conditions. Remote sensing monitoring technology is a technology that monitors and identifies the environmental quality status of remote environmental targets by collecting environmental electromagnetic wave information through aviation or satellites. It is an advanced environmental information acquisition technology. It is "fast" and "complete" in acquiring large-area synchronous and dynamic environmental information, which can not be compared and completed by other detection means. Therefore, it has been widely used, such as remote sensing monitoring of air and water quality, investigation of marine oil pollution accidents, investigation of urban thermal environment and water area thermal pollution, investigation of urban green space, landscape and environmental background, investigation and monitoring of ecological environment, etc

in order to meet the needs of research, remote sensing image data with clear image, moderate contrast, good time phase, all indicators meeting the requirements and easy to distinguish ground objects are generally selected. For the acquired remote sensing image data, pre-processing is required before formal use. The commonly used Landsat TM images have undergone rough radiometric correction and geometric correction at the ground receiving station. In addition to high-precision quantitative applications, TM images generally only need geometric correction. After correction, they are related to the material properties, geometric dimensions, shapes, structural conditions, convenient fixing conditions and the action mode of external forces of the spring, and then they are subject to image enhancement processing, band synthesis, image splicing and clipping processing, In order to further explore the potential information of remote sensing images, highlight and display the required thematic feature information of the target. The translation marks are established according to the spectral reflection characteristics of different land use types. The visual interpretation method is used to identify the characteristic attributes of the images, and the images are supervised and classified in combination with the field survey data to obtain the remote sensing classification map, compare the remote sensing classification map of each phase, and complete the detailed mapping of the detection area

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