CN112141454A - Control system and control method for intelligent material sample preparation and detection - Google Patents
Control system and control method for intelligent material sample preparation and detection Download PDFInfo
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- CN112141454A CN112141454A CN201910575093.3A CN201910575093A CN112141454A CN 112141454 A CN112141454 A CN 112141454A CN 201910575093 A CN201910575093 A CN 201910575093A CN 112141454 A CN112141454 A CN 112141454A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65B—MACHINES, APPARATUS OR DEVICES FOR, OR METHODS OF, PACKAGING ARTICLES OR MATERIALS; UNPACKING
- B65B57/00—Automatic control, checking, warning, or safety devices
- B65B57/10—Automatic control, checking, warning, or safety devices responsive to absence, presence, abnormal feed, or misplacement of articles or materials to be packaged
- B65B57/14—Automatic control, checking, warning, or safety devices responsive to absence, presence, abnormal feed, or misplacement of articles or materials to be packaged and operating to control, or stop, the feed of articles or material to be packaged
- B65B57/145—Automatic control, checking, warning, or safety devices responsive to absence, presence, abnormal feed, or misplacement of articles or materials to be packaged and operating to control, or stop, the feed of articles or material to be packaged for fluent material
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C21/00—Disintegrating plant with or without drying of the material
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65B—MACHINES, APPARATUS OR DEVICES FOR, OR METHODS OF, PACKAGING ARTICLES OR MATERIALS; UNPACKING
- B65B1/00—Packaging fluent solid material, e.g. powders, granular or loose fibrous material, loose masses of small articles, in individual containers or receptacles, e.g. bags, sacks, boxes, cartons, cans, or jars
- B65B1/30—Devices or methods for controlling or determining the quantity or quality or the material fed or filled
- B65B1/32—Devices or methods for controlling or determining the quantity or quality or the material fed or filled by weighing
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65C—LABELLING OR TAGGING MACHINES, APPARATUS, OR PROCESSES
- B65C3/00—Labelling other than flat surfaces
- B65C3/06—Affixing labels to short rigid containers
- B65C3/08—Affixing labels to short rigid containers to container bodies
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65C—LABELLING OR TAGGING MACHINES, APPARATUS, OR PROCESSES
- B65C9/00—Details of labelling machines or apparatus
- B65C9/26—Devices for applying labels
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Abstract
The invention relates to a control system and a control method for intelligent material sample preparation and detection, which comprises a robot, a sample introduction device, a primary quantitative dividing machine, a jaw crusher, a secondary quantitative dividing machine, a vertical disc grinder, a moisture weighing device, a sample rack, an oven, a screen rack, a cleaning device, a belt type sample divider, a detection screen, a granularity weighing device, a bag type automatic packaging machine and a computer, wherein the sample introduction device is connected with the sample introduction device; the states of the devices such as material feeding identification, transfer, division, crushing, discharging, drying, grinding, detection, marking, cleaning and the like are controlled by a computer through equipment function design, so that the continuous operation of material identification, division, granularity measurement, moisture measurement, chemical component sample preparation and material information tracking is realized, and the operation efficiency is greatly improved.
Description
Technical Field
The invention relates to a control system and a control method for intelligent material sample preparation and detection, and belongs to the field of intelligent material detection.
Background
The iron ore is a main raw material for iron making, the fluctuation of indexes such as iron, sulfur, phosphorus, granularity and the like directly influences the production of an iron-making blast furnace and the quality of molten iron, and the iron content, granularity and moisture also directly influence the purchasing cost, thereby having important significance for iron-making and smelting.
The preparation process of the conventional iron ore sample comprises the following steps: mechanically sampling on a conveying belt entering a stock ground, manually conveying the sample to a sample preparation chamber, manually operating, coarsely crushing to 30mm by using a large crusher, reducing the sample to a specified amount for several times, crushing to below 6mm by using a medium-granularity crusher, reducing the sample to a certain amount for several times, and grinding by using a grinder to obtain a chemical component sample.
Conventional iron ore particle size determination: the sample is firstly weighed by a platform scale, then the sample is poured into a shaking screen and passes through screens with different apertures, and then the platform scale is used for weighing the mass of the sample on the screens with different apertures and under the screens to calculate the percentage of different size fractions.
Conventional iron ore moisture determination: weighing 500 or 1000 g of sample (granularity is not more than 30 mm) in a tray by an electronic balance, putting the tray into a 105 ℃ oven, drying for 3 to 5 hours until the weight is constant, weighing, and calculating the percentage content of moisture according to the mass difference before and after drying.
The sampling, sample preparation, particle size detection and moisture detection of conventional materials have the disadvantages of high manual operation intensity and low efficiency, and the large working intensity of personnel often causes the use of a small amount of samples and insufficient representativeness. With the development of industrial manufacturing intelligence, the development of industrial intelligent sampling, sample preparation and detection technology is required to adapt to the development of modern steel manufacturing intelligence.
Disclosure of Invention
The invention provides a control system and a control method for intelligent material sample preparation and detection aiming at the defects in the prior art, and aims to solve the problems in the prior art.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a control system for intelligent material sample preparation and detection comprises a robot, a sample introduction device, a primary quantitative division machine, a jaw crusher, a secondary quantitative division machine, a vertical disc grinder, a moisture weighing device, a sample rack, an oven, a screen frame, a cleaning device, a belt type sample divider, a detection screen machine, a granularity weighing device, a bag type automatic packaging machine and a computer; the sample feeding device, the primary quantitative dividing machine, the jaw crusher, the secondary quantitative dividing machine, the vertical disc grinder, the moisture weighing device, the sample rack, the oven, the screen frame, the cleaning device, the belt type sample divider, the inspection screen machine, the granularity weighing device and the bag type automatic packaging machine are annularly arranged on the outer side of the robot; the robot, the sample feeding device, the first-stage quantitative dividing machine, the jaw crusher, the second-stage quantitative dividing machine, the vertical disc grinder, the moisture weighing device, the sample rack, the oven, the screen frame, the cleaning device, the belt type sample divider, the inspection screen, the granularity weighing device and the bag type automatic packaging machine are all connected with the computer.
As an improvement of the invention, the device also comprises a waste material conveyor which is connected with the cleaning device and a computer.
As an improvement of the invention, the device also comprises a floating device, wherein the moisture weighing device is connected with the floating device, and the floating device is connected with a computer.
As an improvement of the invention, the automatic bag-type packaging machine further comprises a labeling machine, wherein the automatic bag-type packaging machine is connected with the labeling machine, and the labeling machine is connected with a computer.
The sampling device is connected with the weighing device and the cover opening device in sequence through the code reading device, and the code reading device, the weighing device and the cover opening device are all connected with the computer.
The system of the invention carries out interlocking and program control through a PLC; the system is controlled by a program, and the robot is used for clamping, placing, dumping and other operations among all the single devices to complete the functions of material identification, division, weighing, crushing, drying, detection, grinding, identification and the like; the system can select different operation flows according to the material types to complete corresponding functions; the system can realize the granularity measurement of materials, the moisture measurement, the sample preparation of chemical component samples, the tracking of material information, the packaging, the sticking of marks and the like, and can upload the granularity measurement result and the moisture measurement result to a computer ERP system.
As an improvement of the invention, the control system for intelligently preparing and detecting the materials is utilized to carry out the processes of material identification, transfer, division, crushing, drying, detection, grinding, marking, material abandoning and the like, and the control method comprises the following steps:
(1) material identification: a group of samples are placed on a sample introduction, code reading and cover opening device, the types, blocks or powder of the materials are selected on control software, a system is started, when a sample barrel passes through a code scanning position, a code scanner on the device automatically scans codes to read sample information (when different groups of samples are mixed, the samples are directly avoided, and the next barrel is operated), the sample barrel is operated to a weighing position to be weighed, the weighing value automatically records data in a special database in a computer through a sensor, then a cover opening device opens a barrel cover, and the sample codes are controlled by a program to track along with the whole process;
(2) material division: clamping a sample barrel which is opened by a robot, pouring a sample in the barrel into a hopper of a first-level quantitative dividing and classifying machine, (I) dividing the fine ore into particle size samples according to the mass division ratio, namely water samples, namely abandoned samples =500:250, (W/4-750), dividing, wherein W is the net weight of the sample in each barrel, the divided particle size samples enter a particle size sample disc, the divided water samples enter the water sample disc, redundant materials enter a material discarding disc, and the waste samples in the material discarding disc are transferred to a belt of a waste belt conveyor by the robot and conveyed to a material discarding box; and secondly, for the lump ore, dividing the lump ore according to the mass division ratio of a granularity sample, namely a water sample = W/4, W is the net weight of a sample in each barrel, and dividing WGranulekg of the grain size sample enters a grain size sample tray, and W separated is condensedWater (W)kg water sample enters a water sample tray;
(3) and (3) determining the granularity of the material: for fine ore, the grain size sample plate which is drawn out from each barrel is clamped by a robot, put into a drying oven with the temperature of 130-200 ℃ for drying for 2-3 hours, and then the grains are clamped by the robotThe sample weighing system comprises a sample weighing disc, a sample in the sample weighing disc is transferred into a middle rotating disc of a sample rack, other barrels sequentially carry out the same operation, after all barrel samples are collected, a robot clamps the middle rotating disc of the particle size samples to a particle size scale for weighing, then the samples are poured into an uppermost layer screen of a checking screen machine, the samples sequentially pass through a screen for screening, the robot clamps the screen for placing the screen on the particle size scale for weighing, the weighing values are automatically recorded in a special database in a computer through a sensor, empty weights of the screen are automatically deducted through software in a control system, all particle size percentages of the batch samples are automatically calculated and uploaded to an ERP (enterprise resource planning) network of the computer. Transferring the sample with the measured granularity to a waste material conveyor by a robot, and conveying the sample to a waste material box; and (II) for lump ore, clamping each barrel of the reduced granularity sample plate by a robot to a granularity scale for weighing, then pouring the sample into a sieve on the uppermost layer of the inspection sieve, sequentially sieving by virtue of the sieve, clamping each sieve by the robot, placing the sieve on the granularity scale for weighing, automatically recording data of the weighed value in a special database in a computer by virtue of a sensor, sequentially carrying out the same operation on other barrels, automatically deducting the empty weight of each sieve by virtue of software in a control system after the granularity samples of all the barrels are sieved, automatically calculating each granularity percentage of the batch sample, and uploading the batch sample to an ERP network of the computer. And transferring the sample with the measured granularity to a waste material conveyor by a robot, and conveying the sample to a waste material box. Same size fraction percentage = (W)1+W2+.....+Wn)/W0×100，W1，W2,., Wn is the mass of each barrel in the same size fraction, W0The mass unit of the granularity samples which are condensed and separated from each barrel is kg;
(4) and (3) measuring the moisture of the material: for fine ore, the sample plate with each barrel of contracted water sample is picked up by robot, the sample plate is placed on water weighing device and floating device to be weighed, then the sample plate is picked up by robot and dried in oven at 105 deg.C for 4-6 hr, the sample plate is taken out from oven by robot and weighed on water weighing device and floating device, the weighed value is automatically recorded in special data base in computer by means of sensor, the empty weight of sample plate is automatically deducted by software in control system, the water percentage of each barrel of sample is calculated according to the mass difference before and after drying, its water percentage is calculated, and its water percentage is regulated according to the mass difference between dried sample plate and waterSequentially carrying out the same operation on the sample barrels, after the moisture samples of all the sample barrels are measured, combining the programs to calculate the moisture content of the batch samples, and automatically transmitting the result to a computer ERP system; collecting the samples after moisture measurement in a middle rotating disc of a sample rack by a robot for preparing chemical component samples; and (II) for lump ore, clamping a water sample plate contracted from each barrel by a robot, pouring the sample into a hopper of a jaw crusher, crushing the sample to be not more than 6mm, collecting the sample plate in the sample plate, clamping the sample plate by the robot, pouring the sample into a hopper of a first-level quantitative classifier, and performing a contraction cycle according to the mass contraction ratio of the water sample, namely water sample abandon sample =250 (W/4-250), wherein W is the mass of the water sample contracted from the first stage of each barrel. And the water sample is condensed and separated out and enters a water sample tray, the abandoned sample enters a abandoned material tray, and the abandoned material in the abandoned material tray is transferred to a waste material conveyor by a robot and conveyed to a waste material box. The method comprises the steps of placing a moisture sample disc on a moisture weighing device and a floating device for weighing by a robot, then transferring the moisture sample disc into a drying oven at 105 ℃ by the robot for drying for 4-6 hours until the moisture sample disc is constant in weight, placing the moisture sample disc on the moisture weighing device and the floating device by the robot for weighing, automatically recording data of a weighing value in a special database in a computer through a sensor, automatically deducting the empty weight of the sample disc by software in a control system, calculating the moisture percentage of each barrel of samples according to the mass difference before and after drying, sequentially carrying out the same operation on other barrels, combining programs after the moisture samples of all sample barrels are measured, calculating the moisture content of a batch of samples, and automatically transmitting the result to an ERP (enterprise resource planning) system of the computer. And collecting the samples after moisture measurement in a middle rotating disc of the sample rack by a robot for preparing chemical component samples. Percent moisture = (A)1+A2+.....+An)/n，A1、A2The moisture percentage of each barrel is shown as An, and n is the barrel number.
(5) Preparing samples of chemical components of the materials and packaging: for fine ore, the sample with moisture measured is transferred into a hopper of a jaw crusher by a robot, crushed to be not more than 6mm, collected in a sample plate, and poured into the hopper of a secondary quantitative classifier by the robot, and the sample in the sample plate is subjected to classification circulation according to the mass classification ratio of a reserved sample, namely a component sample, namely a abandoned sample =250:125 (W/4-375), wherein W is the total mass of the sample after moisture measurement. And respectively feeding the separated reserved sample and the chemical component grinding sample into corresponding sample discs, respectively feeding redundant materials into a material abandoning disc, transferring the waste sample in the material abandoning disc to a belt of a waste belt conveyor by a robot, and conveying the waste sample to the material abandoning disc. Transferring the concentrated reserved and searched sample to a bag type automatic packaging machine and a labeling machine for bagging by a robot, and automatically sticking a two-dimensional code label written with sample information on the sample bag as a reserved and searched sample; transferring the reduced and separated ground sample into a vertical disc grinder by a robot for grinding, collecting the ground sample in a sample box, transferring the sample in the sample box into a belt sample splitter by the robot, reducing and separating two samples according to the reduction ratio, respectively collecting the two samples in two small sample boxes, collecting the abandoned sample in a waste material box, transferring the sample in the small sample box into a bag type automatic packaging machine and a labeling machine by the robot for packaging, and automatically sticking a two-dimensional code label written with sample information on a sample bag as a chemical component sample. And transferring the waste sample in the waste material box to a belt of a waste material belt conveyor by the robot, and conveying the waste sample to the waste material box. And secondly, for the lump ore, the sample with the measured moisture content collected in a middle rotating disc is transferred into a hopper of a secondary quantitative division machine by a robot, and the sample is divided into reserved samples according to the mass division ratio, wherein the reserved samples comprise abandoned samples =250:125 (W/4-375), and W is the total mass of the sample with the measured moisture content. And respectively feeding the separated reserved sample and the chemical component grinding sample into corresponding sample discs, respectively feeding redundant materials into a material abandoning disc, transferring the waste sample in the material abandoning disc to a belt of a waste belt conveyor by a robot, and conveying the waste sample to the material abandoning disc. Transferring the concentrated reserved and searched sample to a bag type automatic packaging machine and a labeling machine for bagging by a robot, and automatically sticking a two-dimensional code label written with sample information on the sample bag as a reserved and searched sample; transferring the reduced and separated ground sample into a vertical disc grinder by a robot for grinding, collecting the ground sample in a sample box, transferring the sample in the sample box into a belt sample splitter by the robot, reducing and separating two samples according to the reduction ratio, respectively collecting the two samples in two small sample boxes, collecting the abandoned sample in a waste material box, transferring the sample in the small sample box into a bag type automatic packaging machine and a labeling machine by the robot for packaging, and automatically sticking a two-dimensional code label written with sample information on a sample bag as a chemical component sample. And transferring the waste sample in the waste material box to a belt of a waste material belt conveyor by the robot, and conveying the waste sample to the waste material box.
Compared with the prior art, the invention has the following beneficial effects because the technology is adopted:
the invention discloses a control system and a control method for intelligent sample preparation and detection of materials, which are characterized in that the states of devices for material feeding identification, transfer, division, crushing, discharging, drying, grinding, detection, identification, cleaning and the like are controlled by a computer through equipment function design, so that continuous operation of material identification, division, granularity measurement, moisture measurement, chemical component sample preparation (crushing, division, packaging and identification) and material information tracking is realized, and the operation efficiency is greatly improved.
Drawings
FIG. 1 is a schematic structural diagram of a control system for intelligent sampling and detection of materials;
in the figure: 1. the automatic packaging machine comprises a robot, 2, a sample introduction device, 3, a first-level quantitative dividing machine, 4, a jaw crusher, 5, a second-level quantitative dividing machine, 6, a vertical disc grinder, 7, a moisture weighing device, 8, a sample rack, 9, an oven, 10, a screen rack, 11, a cleaning device, 12, a belt type sample divider, 13, a detection screen, 14, a granularity weighing device, 15, a bag type automatic packaging machine, 16, a waste material conveyor, 17, a computer, 18, a code reading device, 19, a cover opening device, 20, a weighing device, 21, a leveling device, 22 and a labeling machine.
Detailed Description
The invention is further elucidated with reference to the drawings and the detailed description.
Example 1
The attached drawings are combined to see that the control system for intelligently preparing and detecting the materials comprises a robot 1, a sample introduction device 2, a primary quantitative dividing machine 3, a jaw crusher 4, a secondary quantitative dividing machine 5, a vertical disc grinder 6, a moisture weighing device 7, a sample rack 8, an oven 9, a screen rack 10, a cleaning device 11, a belt type sample divider 12, a detection screen 13, a granularity weighing device 14, a bag type automatic packaging machine 15 and a computer 17; the sample introduction device 2, the primary quantitative dividing machine 3, the jaw crusher 4, the secondary quantitative dividing machine 5, the vertical disc grinder 6, the moisture weighing device 7, the sample rack 8, the oven 9, the screen frame 10, the cleaning device 11, the belt type sample divider 12, the inspection screen 13, the granularity weighing device 14 and the bag type automatic packaging machine 15 are annularly arranged on the outer side of the robot 1; the robot 1, the sample introduction device 2, the primary quantitative division machine 3, the jaw crusher 4, the secondary quantitative division machine 5, the vertical disc grinder 6, the moisture weighing device 7, the sample rack 8, the oven 9, the screen frame 10, the cleaning device 11, the belt type sample divider 12, the inspection screen 13, the granularity weighing device 14 and the bag type automatic packaging machine 15 are all connected with the computer 17.
And the device also comprises a waste material conveyor 16, wherein the waste material conveyor 16 is connected with the sweeping device 11, and the waste material conveyor 16 is connected with a computer 17.
The device further comprises a floating device 21, the moisture weighing device 7 is connected with the floating device 21, and the floating device 21 is connected with the computer 17.
And the automatic bag type packaging machine 15 is connected with a labeling machine 22, and the labeling machine 22 is connected with a computer 17.
Still include code reading device 18, weighing device 20 and uncap device 19, sampling device 2 links to each other with weighing device 20, uncap device 19 through code reading device 18 in proper order, code reading device 18, weighing device 20 and uncap device 19 all link to each other with computer 17.
In the invention, the robot 11 is arranged at the center of the circular ring, other monomer devices are arranged on the circular ring, and the interlocking and program control are carried out through a PLC; the system is controlled by a program, and the robot 1 is used for clamping, placing, dumping and other operations among all the monomer devices to complete the functions of material identification, division, weighing, crushing, drying, detection, grinding, identification and the like; the system can select different operation flows according to the material types to complete corresponding functions; the system can realize the granularity measurement of materials, the moisture measurement, the sample preparation of chemical component samples, the tracking of material information, the packaging, the sticking of marks and the like, and can upload the granularity measurement result and the moisture measurement result to an ERP system.
The system is controlled by a program, and the robot 1 is used for clamping, placing, dumping and other operations among all the single devices to complete the functions of material identification, division, weighing, crushing, drying, detection, grinding, identification and the like.
The system can select different operation flows according to the material types to complete corresponding functions.
The system can realize the granularity measurement of materials, the moisture measurement, the sample preparation of chemical component samples, the tracking of material information, packaging, label pasting and the like, and can upload the granularity measurement result and the moisture measurement result to the 17ERP system of the computer.
Example 2
The control system for intelligent sample preparation and detection of materials in the embodiment 1 is utilized to carry out the processes of material identification, transfer, division, crushing, drying, detection, grinding, marking, material abandonment and the like,
the control method comprises the following steps:
the iron ore types include fine ore, lump ore and pellet ore. The sampling quantity of the iron ores fed into the plant in each batch is 5-10 barrels, 10 kg/barrel is required, but the sampling quantity of the actually taken barrels is 6-11 kg.
(1) Setting parameters: and (5) taking out samples of 5 barrels of fine ore. The water content is measured in each barrel, the sample amount is 1kg, the water content of a batch sample is calculated, the granularity is required to be measured in batches from 2kg in each barrel, the grain size is 6.3mm and 10mm, the sample remained in the batch sample is 1kg, and the chemical component sample is 120 meshes and 100 g.
(2) Material identification: put 5 buckets of samples on advance kind and read sign indicating number and uncap device 19, on control software, select the material to be fine ore, start-up system, when the sample bucket was through scanning the sign indicating number position, the automatic sign indicating number of scanning of the sign indicating number ware on the device reads sample information (meet mixed different groups's sample, directly avoid, the operation next bucket), move again to weighing the position and weigh, weighing value passes through the sensor automatic record data in the special database in the computer, open the bung by the uncapping ware after that, the sample code is followed the full-process by program control and is tracked.
(3) Material division: clamping a sample barrel which is opened by a robot 1, pouring a sample in the barrel into a hopper of a first-level quantitative classifier 3, and calculating the mass percent of fine ores according to the mass percent of 'granularity sample, water sample, abandoned sample =500:250 (W/4-750)', wherein the percent of reduction of 1 st barrel to 5 th barrel is 500:250:1250 respectively; 500:250: 1750; 500:250: 1500; 500:250: 1000; w is 8kg, 10kg, 9kg, 8kg, 7kg of net weight of a sample of 1-5 barrels; the division cycle was 4 times. 2kg of particle size samples separated from each barrel enter the particle size sample plate, 1kg of water samples separated from each barrel enter the water content sample plate, redundant materials enter the waste material plate, and the waste samples in the waste material plate are transferred to a belt of a waste material belt conveyor by the robot 1 and conveyed to the waste material box.
(4) The granularity of the material is measured, for fine ore, a robot 1 clamps a granularity sample plate which is divided from each barrel, the granularity sample plate is placed in an oven 9 with the temperature of 130-200 ℃ to be dried for 2-3 hours, then the robot 1 clamps the granularity sample plate, a sample in the granularity sample plate is transferred into a middle rotating disc of a sample frame 8, other barrels carry out the same operation in sequence, after the barrel samples are collected, the robot 1 clamps the granularity sample middle rotating disc to a granularity scale to be weighed, the net weight is 9.35kg, then the sample is poured into a topmost screen of a checking screen machine 13 to be sequentially passed through 6.3 and 10mm screens, the robot 1 clamps the 6.3 and 10mm screens to be placed on the granularity scale to be weighed, the net weights of 6.3 and 10mm are respectively 1.07kg and 0.36kg, the scales automatically record data in a special database in a computer 17 through a sensor, and the program automatically calculates the granularity of the batch sample with the granularity being more than 6.3mm, the granularity percentage of more than 10mm is 15.29 percent and 3.85 percent respectively, and the data are uploaded to a computer 17ERP network. The sample with measured granularity is transferred to a waste material conveyor 16 by the robot 1 and conveyed to a waste material box.
(5) Measuring the moisture of the materials, namely, for the powder ore, clamping a sample plate with each barrel of the contracted moisture sample by a robot 1, putting the sample plate on a moisture weighing device 7 and a leveling device 21 for weighing, wherein the net weight values are 0.985g, 0.993g, 1.015g, 0.990g and 1.023g respectively, then the sample plate is clamped by the robot 1 and enters an oven 9 with the temperature of 105 ℃ for drying for 4 to 6 hours, the robot 1 takes out the materials from the oven 9 to the moisture weighing device 7 and the floating device 21 for weighing, the net weight values are 0.936g, 0.945g, 0.967g, 0.945g and 0.978g respectively, the data are automatically recorded in a special database in the computer 17 through a sensor, and calculating the moisture percentage of each barrel sample according to the mass difference before and after drying, wherein the moisture percentage is respectively 4.97%, 4.83%, 4.73%, 4.55% and 4.40%, and the moisture content of the batch samples is calculated to be 4.70% by program combination, and the result is automatically transmitted to a 17ERP system of a computer. The samples after moisture measurement are collected in the middle rotating disc of the sample rack 8 by the robot 1 and used for preparing chemical component samples.
(6) Preparing and packaging chemical components of the material, namely for fine ore, transferring a sample with measured moisture collected in a middle rotating disc into a hopper of a jaw crusher by a robot 1, crushing the sample to be not more than 6mm, collecting the sample in a sample disc, pouring the sample in the sample disc into the hopper of a secondary quantitative division machine 5 by the robot 1, calculating the division ratio according to the mass division ratio of 'reserved sample, component sample, abandoned sample =250:125 (W/4-375)' to be 250:125:825, wherein W is the total mass of the sample with measured moisture 4.8kg, and carrying out division circulation for 4 times. 1kg of the reduced remaining sample and 500g of the chemical component grinding sample enter corresponding sample trays respectively, redundant materials enter a waste material tray, and the waste sample in the waste material tray is transferred to a belt of a waste material belt conveyor by the robot 1 and conveyed to the waste material tray. Transferring the reduced reserved and checked sample 1kg to a bag type automatic packaging machine 15 and a labeling machine 22 by the robot 1 for packaging, and automatically sticking a two-dimensional code label written with sample information on a sample bag to serve as a reserved and checked sample; transferring 500g of the reduced and separated grinding sample into a vertical disc grinder 6 by the robot 1, grinding to 120 meshes, collecting in a sample box, transferring the sample in the sample box into a belt type sample splitter 12 by the robot 1, and performing separation according to a reduction ratio of 100: 100: 300 g of sample is divided into two 100g samples which are respectively collected in two small sample boxes, 300 g of sample is collected in a waste material box, the robot 1 transfers the sample in the small sample box to the bag type automatic packaging machine 15 and the labeling machine 22 for bagging, and the two-dimensional code label written with sample information is automatically pasted on the sample bag to be used as a chemical component sample. The waste sample in the waste material box is transferred to a belt of a waste material belt conveyor by the robot 1 and conveyed to the waste material box.
Example 3
The control system for intelligently preparing and detecting the materials in the embodiment 1 is utilized to carry out the processes of material identification, transfer, division, crushing, drying, detection, grinding, marking, material abandonment and the like, and the control method comprises the following steps:
the iron ore types include fine ore, lump ore and pellet ore. The sampling quantity of the iron ores fed into the plant in each batch is 5-10 barrels, 10 kg/barrel is required, but the sampling quantity of the actually taken barrels is 6-11 kg.
(1) Setting parameters: lump ore, the number of samples taken out is 5 barrels. The water content is measured in each barrel, the sample amount is 1kg, the water content of a batch sample is calculated, the granularity is required to be measured in batches from half of each barrel, the granularity is 9.5mm and 16mm, the sample remained in the batch sample is 1kg, and the chemical component sample is 120 meshes and 100 g.
(2) Material identification: a set of sample is put into kind and is put on sign indicating number and reading device 19 that uncaps, on control software, select the material kind to be cubic, start-up system, when the sample bucket was through scanning the sign indicating number position, the automatic sign indicating number of scanning of code scanner on the device reads sample information (meet the mixed sample of different groups, directly avoid, the next bucket of operation), move again to weighing the position and weigh, the weighing value passes through the sensor automatic record data in the special database of computer, open the bung by the uncapping ware after that, the sample code is followed the overall process by program control and is tracked.
(3) Material division: clamping the uncapped sample barrel by a robot 1, pouring a sample in the barrel into a hopper of a first-level quantitative dividing and classifying machine 3, and calculating the mass division ratio of the lump ore according to the mass division ratio of 'granularity sample: water sample = W/4: W/4', wherein the division ratios of 1 st to 5 th barrels are 2000:2000 respectively; 2500: 2500; 2250: 2250; 2000: 2000; 1750: 1750; w is 8kg, 10kg, 9kg, 8kg, 7kg of net weight of a sample of 1-5 barrels; the division cycle was 4 times. And feeding the particle size sample obtained by the separation into a particle size sample tray, and feeding the water sample obtained by the separation into a water sample tray.
(4) Measuring the granularity of the material, namely clamping each barrel of the contracted granularity sample plate by a robot 1 to weigh the sample plate on a granularity scale for lump ore, sequentially weighing 4.08kg, 4.95kg, 4.52kg, 3.97kg and 3.38kg for the 1 st to 5 th barrels, then respectively pouring the granularity sample of each barrel into the uppermost layer screen of a checking screen machine 13, enabling the sample to sequentially pass through 9.5 and 16mm screens, respectively clamping 9.5 and 16mm screens by the robot 1 to put the samples on the granularity scale for weighing, and respectively weighing 1.67kg and 2.15kg for the 1 st to 5 th barrels of 9.5 and 16 mm; 2.07kg,2.42 kg; 1.97kg,2.35 kg; 1.78kg,1.91 kg; 1.45kg,1.68 kg; these weighing values are automatically recorded in a dedicated database in the computer 17 by sensors, the program automatically calculates the 9.5-16mm of this batch, the percentage of grain size >16mm is 42.84%,50.31% respectively, and uploads to the computer 17ERP network. The sample with measured granularity is transferred to a waste material conveyor 16 by the robot 1 and conveyed to a waste material box.
(5) And (2) measuring the moisture of the material, clamping a water sample plate contracted from each barrel by a robot 1, pouring the sample into a hopper of a jaw crusher 4, crushing the sample to be not more than 6mm, collecting the sample plate in the sample plate, clamping the sample plate by the robot 1, pouring the sample into the hopper of a first-level quantitative classifier 3, and performing classification circulation for 4 times according to the mass classification ratio of 'water sample: waste sample =250 (W/4-250)', wherein W is the mass of the water sample contracted from each barrel at one stage. Approximately 1kg of water sample is separated by shrinkage and enters a water sample tray, the abandoned sample enters a abandoned material tray, and the abandoned material in the abandoned material tray is transferred to a waste material conveyor 16 by the robot 1 and conveyed to a waste material box. The method comprises the steps of placing a moisture sample plate on a moisture weighing device 7 and a floating device 21 by a robot 1 for weighing, wherein net weight values are 1.127kg, 0.993kg, 1.035kg, 0.983kg and 1.094kg respectively, then clamping the sample plate by the robot 1, putting the sample plate into an oven 9 at 105 ℃ for drying for 4-6 hours, taking the sample plate out of the oven 9 by the robot 1 onto the moisture weighing device 7 and the floating device 21 for weighing, wherein the net weight values are 1.098kg, 0.967kg, 1.00kg, 0.961kg and 1.066kg respectively, automatically recording data in a special database in a computer 17 by a sensor, calculating moisture percentages of each barrel sample according to mass differences before and after drying, respectively being 2.57%, 2.62%, 2.80%, 2.24% and 2.56%, merging programs, calculating batch sample moisture content to be 2.56%, and automatically transmitting results to an ERP system of the computer 17. The samples after moisture measurement are collected in the middle rotating disc of the sample rack 8 by the robot 1 and used for preparing chemical component samples.
(6) The chemical composition of the material is prepared and packaged, for lump ore, a test sample with moisture measured and collected in a middle rotating disc is transferred into a hopper of a secondary quantitative division machine 5 by a robot 1, the test sample is calculated according to the mass division ratio of 'reserved sample: component sample =250:125 (W/4-375)', the reserved sample is divided into component samples =250:125:900, W is the total weight of the test sample with moisture measured and 5.1kg, the division cycle is carried out for 4 times, 1kg of the reserved sample and 500g of chemical composition grinding sample are respectively transferred into corresponding sample discs, redundant materials enter a material discarding disc, and the waste sample in the material discarding disc is transferred onto a belt of waste by the robot 1 and conveyed to the material discarding disc. Transferring the reduced reserved and checked sample 1kg to a bag type automatic packaging machine 15 and a labeling machine 22 by the robot 1 for packaging, and automatically sticking a two-dimensional code label written with sample information on a sample bag to serve as a reserved and checked sample; transferring 500g of the reduced and separated grinding sample into a vertical disc grinder 6 by the robot 1, grinding to 120 meshes, collecting in a sample box, transferring the sample in the sample box into a belt type sample splitter 12 by the robot 1, and performing separation according to a reduction ratio of 100: 100: 300 g of sample is divided into two 100g samples which are respectively collected in two small sample boxes, 300 g of sample is collected in a waste material box, the robot 1 transfers the sample in the small sample box to the bag type automatic packaging machine 15 and the labeling machine 22 for bagging, and the two-dimensional code label written with sample information is automatically pasted on the sample bag to be used as a chemical component sample. The waste sample in the waste material box is transferred to a belt of a waste material belt conveyor by the robot 1 and conveyed to the waste material box.
The above-mentioned embodiments are merely preferred embodiments of the present invention, and should not be construed as limiting the present invention, and the scope of the present invention should be defined by the claims, and equivalents including technical features of the claims, i.e., equivalent modifications within the scope of the present invention.
Claims (10)
1. The utility model provides a control system of material intelligence system appearance and detection which characterized in that: the device comprises a robot, a sample feeding device, a primary quantitative dividing machine, a jaw crusher, a secondary quantitative dividing machine, a vertical disc grinder, a moisture weighing device, a sample rack, an oven, a screen frame, a cleaning device, a belt type sample divider, a checking screen machine, a granularity weighing device, a bag type automatic packaging machine and a computer; the sample feeding device, the primary quantitative dividing machine, the jaw crusher, the secondary quantitative dividing machine, the vertical disc grinder, the moisture weighing device, the sample rack, the oven, the screen frame, the cleaning device, the belt type sample divider, the inspection screen machine, the granularity weighing device and the bag type automatic packaging machine are annularly arranged on the outer side of the robot; the robot, the sample feeding device, the first-stage quantitative dividing machine, the jaw crusher, the second-stage quantitative dividing machine, the vertical disc grinder, the moisture weighing device, the sample rack, the oven, the screen frame, the cleaning device, the belt type sample divider, the inspection screen, the granularity weighing device and the bag type automatic packaging machine are all connected with the computer.
2. The control system for intelligent sampling and detection of materials according to claim 1, characterized in that: still include the waste material conveyer and link to each other, the waste material conveyer links to each other with cleaning device, the waste material conveyer links to each other with the computer.
3. The control system for intelligent sampling and detection of materials according to claim 1, characterized in that: the water content weighing device is connected with the floating device, and the floating device is connected with the computer.
4. The control system for intelligent sampling and detection of materials according to claim 1, characterized in that: still include the labeller, bag type automatic packaging machine links to each other with the labeller, the labeller links to each other with the computer.
5. The control system for intelligent sampling and detection of materials according to claim 1, characterized in that: the sampling device is sequentially connected with the weighing device and the cover opening device through the code reading device, and the code reading device, the weighing device and the cover opening device are all connected with the computer.
6. A control method for material sample preparation and detection by using the control system for intelligent material sample preparation and detection as claimed in claims 1-5 is characterized by comprising the following steps:
(1) material identification: placing a sample on a sample introduction device, selecting the type, block or powder of a material, starting a system, automatically scanning a code by a code scanning device to read sample information when a sample barrel passes through the code scanning device, then running the sample barrel to a weighing device for weighing, transmitting a weighing value to a computer, and opening a barrel cover for feeding;
(2) material division: clamping the uncapped sample barrel by a robot, pouring the sample in the barrel into a hopper of a primary quantitative division machine, and performing primary quantitative division;
(3) and (3) determining the granularity of the material: clamping a rotating disc in the particle size sample by a robot to a particle size weighing device for weighing, then pouring the sample into a topmost screen of a checking screen machine, enabling the sample to sequentially pass through the screen, clamping each screen by the robot, placing the screen on the particle size weighing device for weighing, calculating each particle size percentage of the batch sample, transferring the sample with the measured particle size to a waste material conveyor by the robot, and conveying the sample to a waste material box;
(4) and (3) measuring the moisture of the material: clamping a sample plate with each barrel of contracted water samples by a robot, placing the sample plate on a water weighing device and a floating device for weighing, then clamping the sample plate by the robot into an oven for drying, taking out the sample plate from the oven by the robot, weighing the sample plate on the water weighing device and the floating device, calculating the water percentage of each barrel of samples according to the mass difference before and after drying, sequentially carrying out the same operation on other barrels, and collecting the samples after the water is measured in a middle rotating disc of a sample rack by the robot for preparing chemical component samples after the water samples of all sample barrels are measured;
(5) preparing samples of chemical components of the materials and packaging: the sample with measured moisture collected in the middle rotating disc is transferred into a hopper of a jaw crusher by a robot to be crushed and then collected in a sample disc, the sample in the sample disc is poured into the hopper of a secondary quantitative division machine by the robot, and secondary division is carried out according to the mass division ratio; respectively feeding the separated remained sample and the chemical component grinding sample into corresponding sample trays, feeding the redundant materials into a waste material tray, transferring the waste sample in the waste material tray onto a belt of a waste material belt conveyor by a robot, and conveying the waste material tray to the waste material tray; transferring the concentrated reserved and searched sample to a bag type automatic packaging machine and a labeling machine for bagging by a robot, and automatically sticking a two-dimensional code label written with sample information on the sample bag as a reserved and searched sample; transferring the reduced and separated ground sample into a vertical disc grinder by a robot for grinding, collecting the ground sample in a sample box, transferring the sample in the sample box into a belt-type sample divider by the robot, reducing and separating two samples according to a reduction ratio, respectively collecting the two samples in two small sample boxes, collecting the waste sample in a waste material box, transferring the sample in the small sample box into a bag-type automatic packaging machine and a labeling machine by the robot for packaging, and automatically sticking a two-dimensional code label written with sample information on a sample bag to serve as a chemical component sample; and transferring the waste sample in the waste material box to a belt of a waste material belt conveyor by the robot, and conveying the waste sample to the waste material box.
7. The control method for intelligent sampling and detection of materials according to claim 6, characterized in that: the material division in the step (2) comprises the following steps: 1) for fine ores, classifying and circulating according to the mass proportion of particle size samples, namely water samples, namely waste samples =500:250 (W/4-750), wherein W is the net weight of a sample in each barrel, the classified particle size samples enter a particle size sample disc, the classified water samples enter the water sample disc, redundant materials enter the waste material disc, and the waste samples in the waste material disc are transferred to a belt of a waste material belt conveyor by a robot and conveyed to a waste material box; 2) and for the lump ore, dividing the lump ore into a granularity sample, namely moisture sample = W/4: W/4 according to the mass division ratio, performing division circulation, wherein W is the net weight of the sample in each barrel, feeding the divided granularity sample into a granularity sample tray, and feeding the divided moisture sample into a moisture sample tray.
8. The control method for intelligent sampling and detection of materials according to claim 6, characterized in that: in the step (3), the same particle size percentage = (W)1+W2+.....+Wn)/W0×100，W1，W2,., Wn is the mass of each barrel in the same size fraction, W0The mass unit of the particle size samples which are separated from each barrel is kg.
9. The control method for intelligent sampling and detection of materials according to claim 6, characterized in that: in the step (4), the moisture percentage = (a)1+A2+.....+An)/n，A1、A2The moisture percentage of each barrel is shown as An, and n is the number of barrels.
10. The control method for intelligent sampling and detection of materials according to claim 6, characterized in that: in the step (5), the mass percentage is that the sample to be checked is reserved, the sample to be checked is discarded =250:125 (W/4-375), and W is the total mass of the samples after the moisture measurement is finished.
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