Check patentability & draft patents in minutes with Patsnap Eureka AI!

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

Inactive Publication Date: 2020-12-29
SHANGHAI MEISHAN IRON & STEEL CO LTD
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Sampling, sample preparation, particle size detection, and moisture detection of conventional materials are manual operations with high intensity and low efficiency. Due to the high intensity of personnel work, the number of samples used is often small and the representativeness is not enough.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Control system and method for intelligent sample preparation and detection of materials

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a control system and method for intelligent sample preparation and detection of materials. The control system comprises a robot, a sample feeding device, a primary quantitative division machine, a jaw crusher, a secondary quantitative division machine, a vertical disc grinder, a moisture weighing device, a sample holder, a drying oven, a screen frame, a sweeping device, abelt type sample divider, an inspection screening machine, a granularity weighing device, a bag type automatic packaging machine and a computer. The states of devices for material feeding identifying,transferring, dividing, crushing, discharging, drying, grinding, detecting, marking, cleaning and the like are controlled by a computer through equipment function design, so that continuous operations of identifying, dividing, granularity measuring, moisture measuring, chemical component sample preparation and material information tracking of materials are realized, and the operation efficiency is greatly improved.

Description

technical field [0001] The invention relates to a control system and method for intelligent sample preparation and detection of materials, belonging to the field of intelligent detection of materials. Background technique [0002] Iron ore is the main raw material for ironmaking. Fluctuations in indicators such as iron, sulfur, phosphorus, and particle size directly affect the production of ironmaking blast furnaces and the quality of molten iron. Iron content, particle size, and moisture also directly affect procurement costs, which are of great significance to ironmaking and smelting. [0003] Conventional iron ore sample preparation process: use mechanical sampling on the conveyor belt entering the stockyard, manually send the sample to the sample preparation room, and then manually operate, first coarsely crush to 30mm with a large crusher, shrink several times to the specified amount, and then Use a medium-sized crusher to crush it to less than 6mm, then shrink it sever...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): B65B57/14B65B1/32B65C9/26B65C3/08B02C21/00
CPCB02C21/00B65B1/32B65B57/145B65C3/08B65C9/26
Inventor 何志明薛莹石开华徐新华
Owner SHANGHAI MEISHAN IRON & STEEL CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More