The invention discloses an intelligent measurement and control method based on
big data, and the method comprises the following steps: 1, collecting
flue gas and dust in the whole production process of a refining workshop of a
steel mill by combining a differential exhaust fume collecting hood with a furnace front flow guide hood, and conveying the collected
flue gas and dust to a dust removal measurement and
control equipment terminal through a dust removal pipeline; 2, diffusing and expanding the
flue gas along with the completion of each
engineering sequence in the refining process of the
steel mill, and analyzing key influence factors in a dust
trapping stage; 3, dust removal parameter management of different dust removal measurement and
control equipment terminals is carried out based on the
flue gas dust concentration value; 4, analyzing the influence of working conditions on the dust concentration of the dust removal measurement and
control equipment terminal by changing atomization conditions including
water pressure and air pressure, and determining the optimal working condition of the whole dust removal measurement and control equipment terminal; the problem of measurement and
control data errors caused by gradual reduction of the measurement and control precision of the dust removal measurement and control equipment is solved, and the method has the characteristic of improving the reliability and the precision of the measurement and control equipment in the dust removal environment.