2results about How to "Burning safety" patented technology

The utility model provides a kind of flameless infrared radiation combustion stove, and the combustion stove includes furnace body, grate tray and heat accumulator, furnace body is equipped with annular furnace cavity, built-in spiral flow guide passage, bottom is equipped with tangential air inlet, so that combustible gas rotates flow along spiral trajectory, realizes pressure balance by centrifugal force;Grate tray is located in the upper portion of furnace cavity, is equipped with grate hole, inserts straight cylinder shape gas outlet pipe, gas outlet pipe is placed combustion nozzle;Heat accumulator is placed above grate tray, is equipped with heat storage hole corresponding with grate hole, gas outlet pipe and combustion nozzle are inserted therein, and heat accumulator absorbs combustion heat energy and converts into infrared and radiates.The stove realizes pressure balance by the rotating flow of combustible gas in spiral flow guide passage, forms flameless combustion on the upper portion of combustion nozzle after entering gas outlet pipe through grate hole.The heat accumulator converts combustion heat energy into infrared radiation, and simultaneously combines heat conduction and heat convection, efficiently transfers heat energy to the object to be heated.

The invention relates to the technical field of gas control, in particular to an automatic control method for optimizing combustion of a hot blast stove based on gas prediction, which comprises the following steps of: estimating blast furnace gas generation amount, acquiring real-time operation parameters of blast furnace smelting, establishing a neural network model, outputting blast furnace gas prediction generation amount, and correcting the gas generation amount estimation. Performing blast furnace gas generation and use prediction, performing feature analysis through feature screening to obtain key influence factors, performing neural network model training, predicting the blast furnace gas by adopting LSTM (Long Short Term Memory) time sequence prediction, and outputting the generation amount or consumption amount in the future 30 minutes; the intelligent combustion of the hot blast stove comprises a gas flow measurement and calculation model, a vault temperature regulation and control model, a waste gas temperature regulation and control model and a high-calorific-value coal gas time-sharing combustion management and control model. Through precise prediction of gas generation amount, usage amount and equipment and in combination with a combustion control strategy, the energy utilization efficiency is improved, the hot air temperature is stabilized, gas consumption is reduced, and environmental pollution is reduced.