| The saving energy is an important solution on the energy lack in the world. For the iron and steel industry, the reheating furnace is one of the key equipments in hot process and a lot of energy is consumed in the process of smelting and heating products. And it means that a lot of energy has been occupied by the reheating furnace in the iron and steel plant. In other words it is one of the very valuable research works for how to get highest heating efficiency,best quality of products and biggest economy efficiency in the basis of satisfying the technological requirements of heating process. Therefore a technology ideal is given to build the energy relation connected based on the temperature field and the 3D visualization monitoring of heating process based on all hot process information. And in connection with the mathematics statements of the surface hot flux density of heated billet and the 3D temperature field of heated billet, two 3D models are established to offer the reliable theory basis and technical methods for the research of saving energy and optimizing control system in the future.(1) Based on the truth to associate the probability distribution surface model of heat flux density of surface of billet heating with the heating energy consumption, the temperature distribution curve of surface of billet is fitted by the method of polynomial fitting by the temperature values of surface of billet in the reheating furnace. According to the general theory of statistics, the probability distribution of surface hot flux density of heated billet is described innovatively by this paper, taking in account the temperature distribution relations of surface of billet with the random interference in the process of the actual industrial heating and applying a piece of 3D model.It is hoped that the mathematical relationship about heating energy consumption can be accurately adjusted in the process of billet heating technology is obtained through adjusting the probability distribution surface figure of heat flux density which can represent the heating energy consumption of billet through the technical methods of parameterizing the three-dimensional probability distribution, and that it can offer a piece of theoretical basis for building up a piece of technology model in accordance with its method to achieve real saving energy and system optimizing control. (2) According to the aim of technics of the control of billet heating, the temperature field distribution of billet needs to be controlled. But the surface and internal of billet temperature distribution for the technics in the control process that is to say the full-information of the tempreture of billet heating needs to be known sufficiently for controlling the temperature field of billet really, based on the requests for thermal process theory of billet heating. So the temperature change model of sampling points of internal center of billet heating is built in this paper through applying the mechanism modeling principle for carrying out the online acquisition of the full-information of temperature of billet heating. And then, applying the modeling technology of RBF neural network, the full-section temperature field distribution model of billet heating is built to fulfill the expression and prediction of 3D temperature field of billet heating and to achive the full-information data sources for monitoring visualization in the process of billet heating and the online sampling temperature data of billet of control system, making use of the method combining with mechanism modeling and RBF neural network.The thermal state of surface and internal of billet heating is described realitily with the method of 3D distribution through the two models. And they offer a piece of theoretical basis, based on the technology model of full-information parameters for the reaserch of saving energy and system optimizing control of billet heating and monitoring visualization in the process of billet heating. |
PDF Full Text Request