针对我国选煤生产过程自动化、控制智能化方面存在的在线检测技术问题，通过产学研联合攻关，完成了使用方便、安全可靠、测量精度高、稳定性强的在线煤炭灰分、水分与热值一体化检测装置和重介质悬浮液粘度与密度一体化检测装置开发，实现选煤、配煤、装车过程关键参数在线检测，为选煤厂全流程智能化控制以及我国煤炭洁净利用提供先进有效的技术手段。（1）提出并实现了一种输煤旁路皮带在线采制样整形方案，在此基础上，实现了低辐射、高精度的煤质灰分、水分、热值一体化在线检测。（2）研制出一种γ射线煤质灰分在线检测装置，采用极低危险的Ⅴ类放射源取代目前所用的Ⅳ类放射源，大大提高了使用的方便性和安全性。（3）提出了双频双通道正交微波透射水分检测方法，和现有的单频单通道方法相比，该方法对煤炭的水分检测具有更高的精度和更宽的量程。（4）提出了利用灰分和水分对热值进行在线软测量的机器学习算法，和现有的线性模型方法相比，提高了热值的测量精度，扩大了适用范围。（5）提出了采用可控旁路双膜盒差压法检测重介质悬浮液密度和粘度的一体化方案，可以完全取代现有的放射性检测设备，有很高的应用价值。（6）根据可控旁路管道中重介质悬浮液沉降过程的密度变化曲线，提出了一种利用机器学习和主成分分析对煤泥含量与粘度进行在线软测量的方法。（7）利用正弦振动式粘度测量仪和开发的可控搅拌器，提出了一种重介质悬浮液粘度的实验标定方法，解决了重介质悬浮液粘度标定难题。%For intelligent control problems existing in the online detection technology of coal production process automation, online coal ash content, moisture content and calorific value detection device and dense medium suspending liquid viscosity and density detection device are developed, which are easy to use, safe and reliable, and also have the high measuring accuracy, strong stability and independent intellectual property rights. The research result can finish the key parameters on-line test of coal preparation, coal blending and loading process, and provide advanced technical means for coal clean utilization and production effectively. (1) The low radiation, high precision on-line detection of coal ash content, moisture content, and calorific value is realized based on the online coal bypass belt sampling plastic package proposed by the research. (2) A gamma ray coal ash on-line detection device is developed, in which the current class of radioactive source IV is replaced by the class V with very low risk, which improving the ease of use and safety greatly (3) The dual-band dual-channel orthogonal microwave transmission moisture detection method is proposed. Compared with the existing method of single frequency single channel, the method of coal moisture detection has higher accuracy and wider range. (4) Machine learning algorithm is proposed, which is online soft measurement of the calorific value using the ash and moisture. Compared with the existing methods of linear model, the measuring accuracy of the calorific value is improved and the application range is expanded (5) The adopting controllable bypass dual bellows differential pressure method to detect density and viscosity of heavy medium suspension integration scheme is put forward, which can completely replace the existing radiation detection equipment and also has a high application value. (6) Based on the density curve of heavy medium suspension settlement process in the controllable bypass duct, this paper proposes a use of machine learning and principal component analysis on coal slime content and viscosity online soft measurement method. (7) Utilizing the sine vibration viscosity measuring instrument and controllable mixer, a calibration method of heavy medium suspension viscosity experiments is proposed, which can solve the problem of heavy media slurry viscosity calibration.
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