基于多传感器信息融合的选煤厂配煤调度

根据用户需求并结合选煤厂生产实际来调度配煤生产是一个需要研究的重要问题．首先，根据配煤调度的实际情况，建立了相应的非线性数学模型．其次，提出基于自适应遗传算法的配煤调度模型的求解算法．然后，进行仿真试验，仿真结果显示算法的求解效果较好．最后，给出基于多传感器信息融合技术的选煤厂配煤调度生产方案，该方案具有较好的可实现性和推广性。

Coal Blending Scheduling in Coal Preparation Plant Based on Multi-Sensor Information Fusion

It is important to research on a reasonable blending scheduling according to the customer requirement and the practice of production in coal preparation plant. In order to solve this problem, a mathematic model was set up on the basis of analyzing coal blending scheduling. Multi-Sensors information fusion was used to monitor the density and the amount of coal. The genetic algorithm was used to solve the nonlinear function in the math model. A satisfied result was obtain by simulating test.