Big data intelligent control bag-type dust collector optimization control method and system

Abstract

The invention discloses a big data intelligent control bag-type dust collector optimization control method and system. The method comprises the following steps: S1, establishing a physical working model; S2, establishing a big data analysis model; S3, selecting an influence variable and environment information; S4, performing data analysis by utilizing the big data analysis model, and establishinga mathematical prediction model of a bag-type dust removal system; S5, solving a coupling optimal solution; and S6, carrying out visual representation. The system comprises a physical working model establishing module, a big data analysis model establishing module, an information screening module, a mathematical prediction model establishing module, an optimal solution calculating module and a visual representation module. Energy conservation and efficiency improvement of a bag-type dust removal system of a coal-fired power plant are taken as the research direction, an optimal scheme is provided for optimized operation of the bag-type dust removal system, the problem that pollutant emission is deeply reduced by equipment and energy consumption is high is solved, dust removal can be optimized, the utilization efficiency of dust removal equipment/system is improved, and the production cost is reduced.

Description

technical field [0001] The invention relates to a big data intelligent control bag filter optimization control method and system, belonging to the technical field of coal-fired boiler dust removal. Background technique [0002] In recent years, with the rapid development of my country's economy and the needs of residents' lives, the demand for energy has increased day by day. Coal-fired boilers for various design purposes have been newly built and put into operation. The increase in energy output has also caused a great burden on the environment. New environmental pollution problems continue to emerge, and the smog phenomenon is particularly prominent. The formation of smog mainly depends on ultrafine particles in the atmosphere and pollution sources such as nitrogen oxides, sulfides, and heavy metals. Aerosol particles formed under the action of water vapor and sunlight radiation can greatly affect the visibility of the air. It forms visual interference, and at the same ti...

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Problems solved by technology

However, there are a lot of equipment in the power plant, the operation is complicated and the mutual influence is relatively serious. It is difficult to ensure that the operation is in an optimal state only by adjusting the experience of the operator. many field problems

At the same time, in order to meet the needs of deep energy saving, many power station equipment h

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