Iron ore sampling and sample making method and system

Abstract

The invention discloses an iron ore sampling and sample making method, which comprises the following steps of: 1) sampling; 2) crushing: crushing the samples taken in the first step; 3) splitting: inputting the taken samples crushed in the second step into a splitting machine to be split; and 4) indoor sample making. The invention also discloses an iron ore sampling and sample making system, which comprises an ore feeding hopper, wherein a first belt conveyor corresponding to the ore feeding hopper is arranged at the lower part of the ore feeding hopper, the tail end of the first belt conveyor corresponds to a crude crushing machine, a material outlet of the crude crushing machine is connected with a fine crushing machine through a second belt conveyor, and the fine crushing machine is connected with the splitting machine through a third belt conveyor. The defects of a spooning method and a well digging method are fundamentally overcome by a reverse shoveling digging machine sampling method, and in addition, the method has the advantages that the sampling speed is high, the sample quantity is large, and the representativeness is high. Through production test and through the verification, analysis and comparison in various aspects, the system is used for carrying out large-batch sampling and sample making on large-block materials and outsourcing ores, and the samples which really reflect general materials can be obtained.

Description

technical field [0001] The invention relates to an iron ore sampling method and system. Background technique [0002] The applicant purchases a relatively large amount of iron ore every year. The lumpiness of iron ore is between 0 and 350mm. The most critical part of purchasing iron ore is to test the iron grade and related quality indicators of the iron ore. The detection accuracy is directly related to the economic benefits of the purchased iron ore. [0003] The more important link in the detection process is to take samples from many items. Sampling is the process of taking out a small part of the material from a large number of materials in a scientific way. This small portion of materials can represent the raw materials both in nature and in composition. [0004] Existing equipment can only meet small samples with relatively small particles, which cannot meet the existing needs. At present, manual division is generally used, which has poor uniformity, high labor i...

AI Technical Summary

Problems solved by technology

[0004] Existing equipment can only meet small samples with relatively small particles, which cannot meet the existing needs

At present, manual division is generally used, which has poor uniformity, high labor intensity, low efficiency and poor representativeness.

[0005] When the amount of the material (iron ore) to be tested is large (3000-10000 tons per batch), the particle size is large (generally between 0-350mm), and the distribution of the material is uneven, the appropriate amount should be determined according to the minimum sample size formula. The sample volume is large, and it is difficult to take samples manually, and it is difficult to ensure the representativeness of the samples. Therefore, it is necessary to explore another set of detection methods and systems.

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