Calculation method for inspecting particle size distribution data consistency correction in ore crushing or grinding process

Abstract

The invention provides a calculation method for inspecting particle size distribution data consistency correction in an ore crushing or grinding process, and relates to the technical field of technological process data collaborative calculation. The method comprises the following steps: obtaining particle size distribution sieve analysis data of ore or ore pulp samples of each node of a process; and based on the material conservation principle of each grading device or confluence point in the process, as a preset constraint condition, taking the minimization of the sum of squares of deviationsbetween the to-be-corrected data of the content of each particle size of each node and the measured data as an objective function, and calculating to obtain an optimal solution, namely the correctedparticle size distribution of each node ore or ore pulp sample. Through the algorithm, particle size distribution data of all points meeting the material conservation principle at a sampling moment are obtained, and errors introduced in a sampling process, a screening process and the like are reduced to a certain extent; the obtained result is helpful for on-site technicians to judge the working condition of the process and give a next operation strategy. Calculation steps are clear and concise, additional correction steps are not needed, and programming implementation is facilitated.

Description

Technical field [0001] Technical Field The present invention relates to a process data collaborative computing, particularly relates to a method for calculating crushing or grinding investigated the particle size distribution of the data mining process Consistency. Background technique [0002] Process study is to obtain samples of ore pulp or crushing or grinding process nodes, each node in order to obtain or ore pulp concentration, particle size and other parameters of the process research tools. Process art analysis is often desirable crushing, grinding and classification process of obtaining the traffic of each node, concentration, particle size and other parameters, the process acquires the current operating state, and further research operation index improvement. The crushing, grinding mineral particle size reached the target on the basis of the production process to achieve energy saving as planned to complete production tasks. But the crushing, grinding and classification...

AI Technical Summary

Problems solved by technology

However, the crushing, grinding and grading process involves a lot of equipment, complex processes, unstable operation of the process, and the sampling, drying, and screening of the process inspection will introduce errors, making it difficult to maintain consistency in the process inspection data

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