多种废水制备水煤浆智能化专家系统的设计及应用

有机废水组分繁多、种类各异，国内发展成熟的水煤浆技术能高效、低成本、资源化处理煤化工等行业的高浓度有机废水。目前针对多种废水制备水煤浆少有研究，如何以最优化的配比进行多种废水制浆，是十分有意义的课题。为了解决这一问题，本文围绕高浓度有机废水制备水煤浆的影响研究，将废水中的不同组分作为影响水煤浆性能的多因子，采用神经网络技术，设计了一套能够求解最佳废水配比、预测废水煤浆成浆浓度的专家系统。此专家系统能够满足企业生产的要求，提高企业的经济效益。为了验证专家系统预测成浆浓度的准确性，进行了14组不同废水比例的成浆性实验，并将实际实验结果与预测结果进行对比，得到预测值与测试值的误差均小于10%，具有较高的可信度。

Design and application of intelligent expert system for preparation of coal water slurry by using various wastewaters

The organic wastewater contains various components. The well-developed coal-water slurry technology in China can treat high-concentration organic wastewater in coal chemical industry with high efficiency, low cost and resources utilization. At present, there are few studies on the preparation of coal-water slurry from various wastewaters. How to make coal-water slurry from various wastewaters with the optimum proportion is a very meaningful subject. In order to solve this problem, the influence of high-concentration organic wastewater on the performance of coal water slurry was studied. By using neural network technology, a set of expert system was designed, which can solve the optimal wastewater ratio and predict the concentration of wastewater coal slurry. This expert system can meet the requirements of enterprise production and improve the economic efficiency of enterprise. To verify the accuracy of expert system in predicting slurry concentration, 14 groups of experiments with different proportion of wastewater were carried out, and the actual experimental results were compared with the predicted results. The errors between the predicted values and the measured values are less than 10%, which have high reliability.