Control system and method for intelligent sample preparation and detection of materials
A control system and control method technology, which is applied in the fields of automatic packaging control, solid materials, grain processing, etc., can solve the problems of small sample size, high labor intensity, and insufficient representation
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Embodiment 1
[0027] It can be seen from the accompanying drawings that a control system for intelligent sample preparation and detection of materials includes a robot 1, a sample feeding device 2, a primary quantitative shrinking machine 3, a jaw crusher 4, a secondary quantitative shrinking machine 5, and a vertical disc Grinder 6, moisture weighing device 7, sample rack 8, oven 9, screen rack 10, cleaning device 11, belt sample divider 12, inspection sieve machine 13, particle size weighing device 14, automatic bag packaging machine 15 and a computer 17; the sampling device 2, the primary quantitative shrinking machine 3, the jaw crusher 4, the secondary quantitative shrinking machine 5, the vertical disc grinder 6, the moisture weighing device 7, and the sample holder 8 , oven 9, screen frame 10, cleaning device 11, belt type sampler 12, inspection sieve machine 13, particle size weighing device 14, bag-type automatic packaging machine 15 are circumferentially arranged on the outside of ...
Embodiment 2
[0037] Using the control system of material intelligent sample preparation and detection in Example 1 to carry out processes such as material identification, transfer, shrinkage, crushing, drying, detection, grinding, marking, and discarding,
[0038] This control method comprises the steps:
[0039] The types of iron ore include fine ore, lump ore and pellet ore. The sampling quantity of each batch of iron ore entering the factory is 5-10 barrels, requiring 10kg / barrel, but the actual sample volume in the barrels taken out is 6-11kg.
[0040] (1) Parameter setting: Fine ore, the number of samples taken out is 5 barrels. Moisture is measured in each barrel, the sample size is 1kg, and the batch sample moisture is calculated. The particle size is required to be divided into 2kg from each barrel for batch measurement, and the particle size is 6.3mm and 10mm. The batch sample is 1kg for inspection, and the chemical composition sample is 120 mesh 100g.
[0041] (2) Material ide...
Embodiment 3
[0047] Utilize the material intelligent sample preparation and detection control system of embodiment 1 to carry out processes such as material identification, transfer, shrinkage, crushing, drying, detection, grinding, identification, and discarding materials. The control method includes the following steps:
[0048] The types of iron ore include fine ore, lump ore and pellet ore. The sampling quantity of each batch of iron ore entering the factory is 5-10 barrels, requiring 10kg / barrel, but the actual sample volume in the barrels taken out is 6-11kg.
[0049] (1) Parameter setting: Lump ore, the number of samples taken out is 5 barrels. Moisture is measured in each barrel, the sample size is 1kg, and the batch sample moisture is calculated. The particle size is required to be divided into half from each barrel for batch measurement. The particle size is 9.5mm and 16mm. The batch sample is 1kg, and the chemical composition sample is 120 mesh 100g.
[0050] (2) Material iden...
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