Hardness detection method in ore crushing process
A production process and ore crushing technology, applied in neural learning methods, biological neural network models, special data processing applications, etc., can solve the problems affecting the crushing process productivity, increase the cyclic load, and fail to detect the hardness of ore, and achieve considerable economy. The effect of value and utility
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[0052] An embodiment of the present invention will be further described below in conjunction with the accompanying drawings.
[0053] In the embodiment of the present invention, the hardness detection method in the ore crushing production process, the method flow chart is as follows figure 1 shown, including the following steps:
[0054] Step 1. Collect historical data of the crusher, including current, power, liner wear thickness and corresponding ore hardness, and construct a training set L r and the test set L e ;
[0055] In the embodiment of the present invention, the current, power, and liner thickness wear data of the crusher are extracted from the integrated management and control system at a frequency of 30 minutes and dumped to the database, and the hardness level data detected offline is compared with the above data according to the time dimension Associating these data into a training set L r and the test set L e ;
[0056] In the embodiment of the present in...
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