Flue gas online monitoring system based on block chain

Abstract

The invention belongs to the technical field of flue gas detection, and particularly relates to a flue gas online monitoring system based on a block chain. The system comprises an atlas enhancement module, a moving target detection tracking module and a flue gas detection module, atlas information is obtained by the atlas enhancement module and the moving target detection tracking module, and theflue gas detection module calls a flue gas detection model and compares the flue gas with standard parameters of a model in a storage device to judge whether flue gas meets standards or not. Accordingto the method, the CamShift target tracking algorithm is used for tracking the motion information of the flue gas exceeding the standard in real time, the time required for flue gas identification each time can be saved, the method meets the real-time requirement, and the method can be transplanted into an embedded system for block chain data transmission.

Description

technical field [0001] The invention belongs to the technical field of flue gas detection, and specifically relates to a block chain-based flue gas online monitoring system. Background technique [0002] Since the 20th century, with the rapid development of modern industry, the problem of environmental pollution has become increasingly serious, and countries all over the world have paid more and more attention to the control of environmental pollution and the research and application of energy-saving and emission-reduction technologies. Industrial development is inseparable from power sources. Thermal power plants undertake most of the power supply and consume a lot of energy. Therefore, controlling the pollution emissions of power sources is the key link to solve the above environmental problems. Dust fly ash, CO, CO in combustion products of coal-fired boilers in power stations 2 , NO X and SO 2 The effective monitoring of flue gas composition parameters is conducive to...

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Problems solved by technology

The furnace combustion monitoring methods put into practical application at this stage mainly focus on the online measurement of parameters such as flame characteristics in the furnace, furnace negative pressure and temperature distribution. The nature of the combustion phenomenon and the exploration of the optimization method of the combustion process have important practical value and scientific significance. However, for the extremely unstable special combustion conditions inside the large boiler furnace, the existing detection technology has not yet achieved real-time detection in practical applications. Accurate measurement results, and only relying on the monitoring of flame parameters and pressure-temperature characteristics is not enough to comprehensively judge the combustion state, and there are still many technical difficulties in realizing the optimal control of the combustion process

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