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In the firing process of ceramic products, the sintering conditions vary from firing phase to firing phase. In different firing phases, flame texture changes obviously, so it can be used as a important parameter of burning zone identification for ceramic roller kiln. In this paper, both flame image recognition of simulating artificial-look-fire and multi-point temperature detection technology are used to detect burning zone working conditions of ceramic roller kiln so as to greatly improve detection accuracy. The key data fusion algorithm of PTCR-based point detection temperature and flame image recognition–based detection method of burning zone working condition for ceramic roller kiln are proposed. The temperature measurement experiment system scheme of ceramic roller kiln burning zone is also given. The system can fuse the key process data with flame image characteristics so as to get the comprehensive database used to judge burning zone working conditions and temperatures. In the end, The testing experiment was carried out. The experimental results show that the method proposed above is feasible and effective.

Roller kiln is a kind of advanced fast sintering kiln. In production process of roller kiln, materials sintering of burning zone is the key working procedure which affects product quality directly. Hence, the temperature detection process of burning zone became the key link in roller kiln control system. This paper proposed a kind of fusion method of both temperature point detection and flame image recognition of imitating ‘artificial-look-fire’. Flame image processing-based temperature detection scheme was also given. In the scheme, expert system fuses temperature data detected by the thermocouple with flame image data of burning zone detected by CCD so as to obtain the actual temperature of burning zone. The method proposed greatly improves the temperature detection precision of burning zone working conditions. The experimental results show that the proposed method is feasible and effective.

In this paper, we presented a constrained multi-degree reduction algorithm of DP curves based on the transformation between the DP and Bézier curves. We first correct the conversion formula between Bernstein basis and DP basis. And then, we deal with multi-degree reduction of NP curves by degree reduction of Bézier curve.

The paper researches flow field and temperature field characteristics of one rocket charge with complicated structure by numerical method. The charge, in which there exist the conduction, convection and radiation, consists of the metal shell, seven propellant columns and air gaps. For the reasons, to solve temperature field of the charge is to solve a complex heat transfer problem in a complicated calculation region. A mathematical and physical model for the flow and heat transfer process in the charge is established and unstructured meshes are applied to disperse the complicated calculation region. The SIMPLE algorithm is used to solve the partial differential equations, and the calculation results are in good agreement with the experimental data. On basis of the numerical simulation, the flow field and temperature field characteristics of the charge are researched and subsequently some valuable conclusions are gotten.

At first, according to the feature of ceramic kiln, this paper studies a fundamental data fusion method which is applied to ceramic kiln temperature control system. This method is used to solve the parameter estimation problem in measurement noise environment. Then, it proposes a kind of intelligent control structure of ceramic kiln temperature control system based on multi-sensor data fusion technology. At last, this data fusion method is applied to intelligent temperature control system of ceramic kiln. The result shows that the method proposed is effective and feasible.