基于ASOS-ELM的球磨机负荷参数软测量系统设计

Design of soft sensing system for ball mill load parameters based on asos-elm

摘要:

球磨机负荷参数是决定磨矿工作质量和效率的重要指标,为了提升球磨机负荷参数软测量系统的运行性能,降低综合测量误差,利用ASOS-ELM算法,从硬件和软件两个方面,设计球磨机负荷参数软测量系统。加设球磨机工作数据采集器,改装处理器与输出显示屏,扩大存储器空间,利用电源电路连接硬件设备,完成硬件系统的设计。根据球磨机的组成结构和工作原理,构建球磨机数学模型,在该模型下,采集球磨机不同工况下的振动信号。利用ASOS-ELM算法,提取振动信号特征,得出球磨机球负荷、料负荷、水负荷参数的软测量结果,实现球磨机负荷参数软测量系统设计。通过系统测试实验结果表明,设计系统负荷参数的综合测量误差降低了约0.064kg,且系统运行性能得到明显提升。

Abstract:

Ball mill load parameters are important indicators to determine the quality and efficiency of grinding work. In order to improve the operation performance of the ball mill load parameter soft measurement system and reduce the comprehensive measurement error, a ball mill load parameter soft measurement system is designed by using asos-elm algorithm from two aspects of hardware and software. Add a ball mill working data collector, refit the processor and output display screen, expand the memory space, use the power circuit to connect the hardware equipment, and complete the design of the hardware system. According to the structure and working principle of the ball mill, a mathematical model of the ball mill is built. Under this model, the vibration signals of the ball mill under different working conditions are collected. Using asos-elm algorithm, the characteristics of vibration signals are extracted, and the soft measurement results of ball load, material load and water load parameters of ball mill are obtained. The design of soft measurement system for ball mill load parameters is realized. The system test results show that the comprehensive measurement error of the designed system load parameters is reduced by about 0.064kg, and the system performance is significantly improved.