2014年（231）
分类： Windows平台
2014-08-09 14:24:29
The traditional scheme of testing the load of the ball mill is adopting the single-factor testing method or double-factor testing method to test the external response of the ball mill, and directly control the internal workload according to the external response. The main shortcomings of this method are:
1.The external response of ball mill is tested, but the workers cannot precisely confirm the working state inside the machine.
2.Because the number of the factors of the external response that are tested is very small, it is hard to estimate the multiple parameters inside the ball mill.
3.The hardware is usually composed by some instrumentation and the universal computer control system, and the system is huge, and in addition, due to the bad environment, the working condition of this equipment is very bad in the reliability.
Because the traditional methods cannot exactly test the internal workload of the ball mill or the test system is not reliable, in the actual operation, it is mainly relying on the experience of the workers in order to judge the workload state inside the ball mill. They often adopt the methods of adding materials, water and s at regular time, which influences the automation of the ball mill control system. In addition, when the ball mill is working, the noise is high and dust pollution is serious, for this reason, if the workers work in this bad environment for a very long period of time, their health will be harmed.
In order to make up for the shortcomings of the ball mill, it is necessary to research a new test method. By way of testing many outside response of the ball mill, making use of the neural network to research the mutual relationship of the outside response and the inside workload and then establish a model of the parameter of the outside response and the inside workload of the ball mill and thus determining the multiple workload parameters inside the ball mill.
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