CN111504860A - System and method for online detection of bulk material characteristics of loading station - Google Patents

System and method for online detection of bulk material characteristics of loading station Download PDF

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CN111504860A
CN111504860A CN202010316358.0A CN202010316358A CN111504860A CN 111504860 A CN111504860 A CN 111504860A CN 202010316358 A CN202010316358 A CN 202010316358A CN 111504860 A CN111504860 A CN 111504860A
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sample
stacking
sample table
sampling
arithmetic unit
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席启明
姚树楷
肖雅静
武徽
郭欣
闫艳
蒋亚琪
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Tiandi Science and Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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    • B61K13/00Other auxiliaries or accessories for railways
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B7/00Measuring arrangements characterised by the use of electric or magnetic techniques
    • G01B7/28Measuring arrangements characterised by the use of electric or magnetic techniques for measuring contours or curvatures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B7/00Measuring arrangements characterised by the use of electric or magnetic techniques
    • G01B7/30Measuring arrangements characterised by the use of electric or magnetic techniques for measuring angles or tapers; for testing the alignment of axes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/02Systems using the reflection of electromagnetic waves other than radio waves
    • G01S17/06Systems determining position data of a target
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications

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Abstract

The invention relates to an on-line detection system and method for bulk material characteristics of a loading station, which comprises the following steps: the system comprises a bypass sampling device for acquiring a bulk material sample currently transported in a logistics link, wherein the bypass sampling device is connected with a bypass sampling bin with a sampling gate, a flat sample table is arranged below the bypass sampling bin, a sample stacking shape sensor is arranged above the sample table, a weighing sensor and a sample table cleaner are arranged below the sample table, the sampling gate, the sample stacking shape sensor, the weighing sensor and the sample table cleaner are connected with a central processing device, and a stacking angle arithmetic unit and a stacking density arithmetic unit are arranged in the central processing device. The invention solves the problem of multi-variety measurement by arranging the flat sample table, solves the influence of the container wall on the bulk density in the traditional measurement, further improves the measurement precision and better meets the requirement of loading. The whole system is simple in structure and accurate in calculation, and provides basic conditions for intelligent loading.

Description

System and method for online detection of bulk material characteristics of loading station
Technical Field
The invention relates to an online detection system and method for bulk material characteristics of a loading station, in particular to an auxiliary detection system and method for an automatic loading station, which are used for detecting the characteristics of bulk materials before loading so as to realize intelligent loading.
Background
The automatic loading station realizes the train loading automation of bulk materials and greatly improves the loading efficiency. However, although the conventional train loading station realizes automation when materials are unloaded into a carriage, manual intervention is required in some links. As is well known, whether materials of a traditional loading station are uniformly distributed in a carriage is a very important problem, and the problem that the carriage is damaged or even accidents are caused due to poor solution is solved. The existing loading station mainly solves the problem by the experience of loading operators. When loading a carriage in front of a train, a loading operator performs trial loading according to own experience, and the aim is to know the loading characteristics of the currently loaded materials and the relation between relative vehicle speeds. After holding these factors, the loading operating personnel can reasonably adjust the time of putting the chute into the carriage, the time of opening the gate, the size of opening and other factors according to the factors, and finally evenly load the materials in each subsequent carriage. Generally, a relatively skilled loading operator can judge the factors and the time after the first section of carriage is full, verify the factors and the time when the second section of carriage is loaded, and then uniformly load the subsequent carriages by using the loading experience of the first two sections of carriages. However, if the experience of the loading operator is not rich enough, the key points of holding the factors and the opportunity can be found only by loading a plurality of carriages, which is very disadvantageous for frequently changing the variety of the bulk materials. How to eliminate the intervention of manual operation and realize intelligent loading operation is a problem to be solved. The first problem of realizing intelligent loading is that sensors or detection devices for acquiring the loading characteristics of bulk materials are required to realize intelligent operation.
Disclosure of Invention
In order to overcome the problems in the prior art, the invention provides an online detection system and method for bulk material characteristics of a loading station. The system and the method measure two important indexes of bulk material loading characteristics in an online measurement mode: the bulk density and the stacking angle provide parameters for intelligent loading, and basic conditions are provided for realizing intelligent loading by outputting electric signals.
The purpose of the invention is realized as follows: an on-line detection system for bulk material characteristics of a loading station comprises: the bypass sampling device of the bulk material sample of obtaining current transportation in the commodity circulation link, bypass sampling device be connected with the bypass sampling storehouse that has the sampling gate, bypass sampling storehouse below is equipped with the sample platform of dull and stereotyped shape, sample bench side be equipped with the sample and pile up the shape sensor, the sample platform under be equipped with weighing sensor to and sample platform clearance ware, sampling gate, sample pile up the shape sensor, weighing sensor, sample platform clearance ware and be connected with central processing unit, central processing unit in be equipped with heap angle arithmetic unit and bulk density arithmetic unit.
Furthermore, the bypass sampling bin is cylindrical or prismatic, and the sampling gate is arranged at the bottom or the lower side of the sampling bin.
Furthermore, a material conveying groove capable of selecting the material conveying direction through rotation is arranged between the sampling gate and the sample platform, and the material conveying groove is connected with the central control device.
Furthermore, the flat sample stage is provided with a sample stage automatic lifting mechanism, and the automatic sample stage automatic lifting mechanism is connected with the central processing unit.
Furthermore, a sample particle size recognizer and a lifting height arithmetic unit for controlling the lifting height of the sample platform are arranged in the central processing device.
Furthermore, the sample stacking shape sensor is provided with a camera, the central processing device is provided with an image recognizer, and the image recognizer is connected with the stacking angle arithmetic unit, the stacking density arithmetic unit and the sample particle size recognition and lifting height arithmetic unit.
Furthermore, the sample stacking shape sensor is a laser radar, a shape recognizer is arranged in the central processing unit, and the shape recognizer is connected with the stacking angle arithmetic unit, the stacking density arithmetic unit and the sample particle size recognition and lifting height arithmetic unit.
Furthermore, the sample table cleaner is a scraper cleaning mechanism.
Furthermore, the sample table cleaner is a turnover and vibration mechanism.
An on-line detection method for bulk material characteristics of a loading station by using the system comprises the following steps:
step 1, collecting samples: in the logistics transportation link, the currently transported bulk materials are collected through a bypass sampling device, and collected samples are sent to a bypass sampling bin for storage;
step 2, lifting the flat sample platform: the central processing unit controls the flat sample platform to rise to a lifting starting zero point, and the lifting starting zero point is positioned at a position close to an outlet of the sampling gate or the material conveying groove;
and step 3, starting to stack materials: the central processing unit controls the opening of the sampling gate, the material sample begins to fall on the sample table to generate stacking, the sample table begins to descend, and the lifting height arithmetic unit calculates the height of the material pile suitable for measurement according to the input particle size data or the particle size data identified by the particle size identifier, so as to determine the descending height of the sample table;
and 4, finishing stacking materials: when the materials on the sample table are stacked to a state that the materials are not rapidly lifted, the central control device sends an instruction to close the sampling gate, the sample stacking shape sensor acquires the shape of the current stacked object, the weighing sensor weighs the weight of the material sample on the current sample table, and the shape of the current stacked object and the weight of the material sample on the current sample table are sent to the stacking angle arithmetic unit and the stacking density arithmetic unit;
step 5, calculating various parameters of the material pile: the stacking angle arithmetic unit analyzes and measures and calculates the shape of the obtained current stacking object through the sample stacking shape sensor to obtain the stacking angle of the current bulk material, the stacking height and the conical ground diameter, calculates the volume of conical stacking according to the data, and calculates the stacking density by combining the weighing sensor or the obtained weight of the current material stack;
and 6, emptying: and clearing the material pairs on the sample table, and simultaneously emptying the bypass sampling bin to prepare for a detection process.
The invention has the following beneficial effects: the invention solves the problem of multi-variety measurement by arranging the flat sample table, solves the influence of the container wall on the bulk density in the traditional measurement, further improves the measurement precision and better meets the requirement of loading. The whole system is simple in structure and accurate in calculation, and provides basic conditions for intelligent loading.
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The invention is further illustrated by the following figures and examples.
FIG. 1 is a schematic structural diagram of a system according to a first embodiment and a second embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a system according to a third, fourth, fifth, sixth and eighth embodiment of the present invention;
fig. 3 is a flow chart of a method according to a tenth embodiment of the invention.
Detailed Description
The first embodiment is as follows:
the embodiment is an online detection system for bulk material characteristics of a loading station, and is shown in fig. 1. The embodiment comprises the following steps: obtain the bypass sampling device 1 of the bulk material sample of current transportation in the commodity circulation link, bypass sampling device be connected with bypass sampling storehouse 2 that has sampling gate 201, bypass sampling storehouse below is equipped with sample platform 3 of dull and stereotyped shape, sample platform top be equipped with the sample and pile up shape sensor 4, sample platform have weighing sensor 5 to and sample platform clearance ware 6, sampling gate, sample pile up shape sensor, weighing sensor, sample platform clearance ware and central processing unit 7 and be connected, central processing unit in be equipped with heap angle arithmetic unit 701 and bulk density arithmetic unit 702.
Many factors affect the balance of loading, among which are mainly particle size, humidity and other factors. In general, if the degree of dryness is the same, the bulk cargo of the same particle size should have a very close bulk angle and bulk density, but due to the difference in the degree of dryness, the bulk cargo of the same species will have a different bulk angle and density, which requires on-line inspection in the field. Another reason for the need for on-line inspection is that the inspection of the stacking angle and contrast is required when the loading station changes the variety of the bulk cargo. Bulk goods with different particle sizes have different stacking angles and different bulk densities, and although other factors may influence the loading quality, the effect of improving the loading quality can be achieved by detecting the two indexes.
The key problem to be solved by the embodiment is as follows: and (4) measuring various varieties. The traditional material bulk density measurement adopts a container with a known volume, the material is filled in the container and then weighed, and then the weight of the material is divided by the volume of the container to obtain the bulk density of the material. The problem is how large a container is to be used for different particle sizes of the material. Generally, a larger particle size of the material requires a larger measurement vessel because the particle size of the material is much smaller than the vessel size so that the material is considered uniform when filled in the vessel. If the particle size is large and the container is small, the influence of the pressure, the gap and other factors between the particle size and the container wall becomes large, the error of the measured density data is large, and the method is difficult to be applied to the subsequent calculation. If a container is used for measuring the density, the container with larger capacity must be used in order to adapt to the material variety with larger grain diameter. A major problem arises with the use of larger capacity containers: when the particle size is large, the speed of filling the container is fast, while when the particle size is small, the speed of filling may be slow, which is very disadvantageous for on-line measurement. On the other hand, the original design of the embodiment hopes to simultaneously measure the bulk density and the stacking angle in the same system, if the container measurement is adopted, the container must be filled and loaded to form a conical tip, so that the filling auxiliary time is long, and the requirement that the online detection must take time is not met.
To solve this problem, the present embodiment skillfully applies the non-contact measurement for measuring the bank angle to the volume measurement. In this embodiment, the conventional container measurement method is abandoned, a flat plate is used to carry a material sample, a conical stack (in fig. 1, the dotted line represents the conical material stack and the blanking) is directly formed on the flat plate, the stack angle is measured while the external dimension of the cone is measured, and the bulk density can be obtained through simple calculation.
Another concern of this embodiment is: and (5) online detection. The requirement of on-line detection is that after the information of the materials to be loaded is obtained, a rapid response must be made before a loaded train enters the station, and a series of actions such as sampling, accumulation, measurement and the like must be continuously completed in as short a time as possible so as to ensure the loading requirement. To achieve the purpose, the overall design idea of the embodiment is to simplify the whole system as much as possible, shorten the measurement time by reducing links, and reduce the failure rate. If the container is not used, the mode of flat plate material accumulation is adopted, and a set of material shape identification is used, and the data acquisition required by the measurement of the accumulation angle and the accumulation density is solved.
The bypass sampling device described in this embodiment can have various forms, such as: the bypass sampling device can sample the bulk materials currently transported from the transportation belt or the buffer bin and other loading intermediate logistics links. The number of samples can be collected and stored in the bypass sampling bin according to the maximum detection requirement regardless of the size of the particle size. It is common practice to use a shovel-like device during the transport of the belt conveyor to shovel the moving material, and to use the kinetic energy of the material moving on the belt to shovel part of the material off the belt and to guide it to the sampling bin. Or a material stopping mechanism is arranged at the outlet of the belt conveyor and the inlet of the buffer bin, and when sampling is needed, the material stopping mechanism is opened to intercept and capture part of materials falling from the belt conveyor and guide the materials into the sampling bin.
The bypass sampling bin is cylindrical or prismatic, the sampling gate is arranged at the bottom or the lower side of the sampling bin, and various forms can be adopted according to the requirements of loading positions and spaces. Can set up the defeated material groove that can select the defeated material direction through the rotation between sampling gate and sample platform, when measuring, the export of defeated material groove aims at the sample platform, and after the measurement was accomplished, the export subtend surge bin or other places that can the blowing of defeated material groove, adopt surplus material evacuation in the storehouse with the bypass.
The flat-plate-shaped sample table is provided with an automatic sample table lifting mechanism. The height of the material to be measured is different according to the size of the particle size (certainly, the size and height of the material to be measured also include other factors, such as friction coefficient, humidity, etc., wherein the particle size and friction coefficient should be consistent as long as the same product is produced, but online measurement is needed only because of the difference of the stacking angle generated under different conditions such as humidity, etc.), the material with larger particle size has better particle rolling property, and is not easy to form a conical material stack, and more standard conical stacking can be formed only under the condition of larger bottom area, while the conical stacking with larger range means higher height, in other words, the material with smaller particle size is easier to stack into a conical shape, which means a conical material with smaller height. In consideration of the difference in particle size, the material is stacked in this embodiment using a flat plate. The pressure difference between the container wall with the same size and the materials with different particle sizes is formed after the materials enter the container, so that the bulk density calculated by the difference has a certain error, and the accurate loading is influenced. The flat sample platform can enable materials to naturally form conical stacking under the completely free condition, the generated stacking angle and stacking density data are closer to the actual state of loading, and the measuring effect is better. The original intention of setting up sample platform elevating system is to reduce the impact of material to the sample platform, has obtained save time's additional effect as a result.
The original intention of sample platform elevating system setting is reduction of equipment cost. If the sample platform is fixed, in order to measure the product of various particle sizes, discharge gate and sample platform just need set up great drop, and the material falls from the eminence during the detection, and the sample platform can receive great impact, and especially the great material of particle size strikes bigger, and for this reason the sample platform needs to use comparatively expensive impact-resistant material, and this undoubtedly can increase equipment cost and maintenance cost. After the sample table lifting mechanism is added, when measurement is started, the sample table is lifted to a position near an outlet of a sampling gate or a material conveying groove, the falling height of materials is small, the generated impulse is small, the sample table is continuously lowered along with the increase of a material stack, the blanking distance is uniformly maintained, the whole stacking process is small in material impact on the sample table, and the effect of protecting the sample table is achieved.
The lifting height of the sample platform is generally obtained through calculation, the conical accumulation of one particle size can be roughly calculated, the rough lifting height can be known only by automatically identifying the size of the particle size, and in the actual detection process, the rough lifting height is only required to be larger than the lifting height, and particularly accurate data is not needed. Therefore, the size of the particle diameter of the sample can be recognized by using the recognition capability of the sample stacking shape sensor on the size of the object, or the particle diameter of the sample is input in advance before measurement, and then the lifting height is obtained through calculation of the lifting height and lifting is performed.
The sample pile shape sensor is used for scanning and identifying the object shape to obtain the geometric dimension of the conical pile so as to be used for calculating the pile angle and the pile density. The sample stacking shape sensor may employ various sensors such as: cameras, laser radars, etc.
The sample table cleaner is used for cleaning the sample table after measurement so as to facilitate the next measurement. The sample stage cleaner can have various forms, such as: the sample platform is overturned to dump a sample in vibration by the overturning and vibrating mechanism, or the sample platform is hung and swept by the scraper, and a good cleaning effect can be obtained by combining the sample lifting mechanism and a small scraper.
Example two:
this embodiment is an improvement of embodiment one, which relates to a refinement of the bypass sample bin. The bypass sampling bin is cylindrical or prismatic, and the sampling gate is arranged at the bottom or the lower side of the sampling bin.
The bypass sampling bin described in this embodiment is barrel-shaped with a conical bottom, as shown in fig. 1. The gate can be arranged on the end face of the bottom. The sampling gate can also be arranged on the outer circular surface of the cylindrical bottom, and the material is discharged from the side surface when the gate is opened. In order to discharge the materials completely, an oblique cone can be arranged at the bottom.
Example three:
this embodiment is a modification of the above embodiment and is a refinement of the above embodiment with respect to bypassing the sample bin. A material conveying groove 202 capable of selecting a material conveying direction through rotation is arranged between the sampling gate and the sample stage, and the material conveying groove is connected with a central control device, as shown in fig. 2.
When enough materials are accumulated on the sample table, the central processing unit instructs the material conveying groove to rotate, and the position of the dotted line in fig. 2 opens the sampling gate to empty the redundant materials in the bypass sampling bin.
Example four:
this embodiment is a modification of the above embodiment, and is a refinement of the above embodiment with respect to the flat plate-shaped sample stage. The flat-plate sample stage of this embodiment is provided with an automatic sample stage lifting mechanism 301, and the automatic sample stage lifting mechanism is connected with a central processing unit, as shown in fig. 2.
The automatic lifting mechanism of the sample table can adopt various structural forms, such as: the hydraulic cylinder is adopted to support the up-down lifting, the electric screw rod is used to support the up-down lifting, and the fork structure is used to support the up-down lifting.
Example five:
the present embodiment is a modification of the above-described embodiment, and is a refinement of the above-described embodiment with respect to the central processing apparatus. The central processing unit of this embodiment is provided with a sample grain size identifier 703 and a height calculator 704 for controlling the height of the sample stage, as shown in fig. 2.
The sample particle size recognizer recognizes the particle size of the material by analyzing the image of the material in the falling process, the lifting height calculator calculates the height of a sample material pile suitable for measurement according to the particle size, and the central control device sends a lifting instruction according to the calculated height of the material pile.
The lifting height arithmetic device can be a storage, the height suitable for measurement of the material piles with various particle sizes is stored in advance, and the relative height can be directly searched according to the particle sizes during measurement, so that the calculation process can be omitted, more operation resources can be saved, and the overall structure is simpler.
Example six:
this embodiment is a modification of the above-described embodiment, and is a refinement of the above-described embodiment with respect to the sample stacking shape sensor. The sample stacking shape sensor of this embodiment is provided with a camera, and the central control device is provided with an image recognizer 705 which is connected with a stacking angle calculator, a stacking density calculator and a sample particle size recognition and lifting height calculator, as shown in fig. 2.
In this embodiment, the image recognition is relatively simple recognition, and is only to recognize the outline of the material stack. The plurality of cameras can be arranged, images of the material pile can be obtained from a plurality of angles, and more accurate material pile data can be obtained by identifying and comparing the images from the plurality of angles through the image recognizer.
Example seven:
this embodiment is a modification of the above-described embodiment, and is a refinement of the above-described embodiment with respect to the sample stacking shape sensor. The sample stacking shape sensor is a laser radar, a shape recognizer is arranged in the central control device, and the shape recognizer is connected with a stacking angle arithmetic unit, a stacking density arithmetic unit and a sample particle size recognition and lifting height arithmetic unit.
The laser radar is used for identifying the outline of the material pile, and the method has the advantages of simpler identification operation and high identification speed, and meets the requirement of online detection. The laser radars can be arranged in a plurality of modes, the outline shape of the material pile is recognized from different angles, and more accurate measurement data are obtained.
Example eight:
the embodiment is a modification of the above embodiment, and is a refinement of the above embodiment with respect to the sample stage cleaner. The sample stage cleaner described in this embodiment is a scraper cleaning mechanism.
This example is more suitable for a rectangular sample stage. The scraper cleaning mechanism comprises rollers 601 arranged to roll along two opposite side edges of the sample stage, and a scraper 602 driven by the two rollers to move along the edge of the sample stage, wherein the width of the scraper is the same as that of the sample stage, as shown in fig. 2. When the sample table needs to be cleaned, the roller rolls from the edge of one side of the sample table to the edge of the other side of the sample table, and materials on the sample table are cleaned within the range swept by the middle scraper.
Example nine:
the embodiment is a modification of the above embodiment, and is a refinement of the above embodiment with respect to the sample stage cleaner. The sample stage cleaner described in this embodiment is a flipping and vibrating mechanism.
The embodiment is suitable for sample tables with various shapes. The clearing process is that firstly, the sample platform is turned over, and the vibrator is started in the turning process to clear the materials from the sample platform.
Example ten:
the embodiment is an online detection method for bulk material characteristics of a loading station by using the system. In order to be suitable for measuring various products with different particle sizes, the conical material stacks are stacked on the flat sample table, the material stack shape recognizer is used, and data acquisition required by calculation of stacking angles and stacking density is achieved. The process emphasizes the on-line detection of random sampling, simplifies the measuring environment as much as possible and obtains the measuring result in the shortest possible time.
The method comprises the following specific steps, and the flow is shown in fig. 3:
step 1, collecting samples: in the logistics transportation link, the currently transported bulk materials are collected through a bypass sampling device, and collected samples are sent to a bypass sampling bin for storage;
the sample collection is usually initiated by an upper computer of the loading station, and then the upper computer gives the central control device of the on-line measuring system to execute the control.
The sample collection emphasizes on site collection, sampling the cargo currently ready for transport loading, and random sampling to obtain the most realistic sample. Because goods can take place the slight change of reason such as natural drying in the transportation of equipment such as belt, consequently, the sampling should set up as far as possible in the position before being close the loading, for example surge bin, even before surge bin gets into the storehouse of weighing, that is before weighing, is so more close the reality of loading.
Step 2, lifting the flat sample platform: the central processing unit controls the flat sample platform to rise to a lifting starting zero point, and the lifting starting zero point is positioned at a position close to an outlet of the sampling gate or the material conveying groove;
the position close to the outlet of the sampling gate or the conveying chute refers to the position after the sample platform is stacked, and the approach is to reduce the impact of the materials on the sample platform as much as possible.
The lifting starting zero point is preset, which is quite common in general computer-controlled automation equipment, namely, a computer control system needs to have a control zero point as a basic reference point, and the calculation of the control position is convenient.
And step 3, starting to stack materials: the central processing unit controls the opening of the sampling gate, the material sample begins to fall on the sample table to generate stacking, the sample table begins to descend, and the lifting height arithmetic unit calculates the height of the material pile suitable for measurement according to the input particle size data or the particle size data identified by the particle size identifier, so as to determine the descending height of the sample table;
the height of the drop generally requires a general knowledge of some known products. According to the general knowledge, when the bulk material falls from a point (a smaller range), a conical pile is formed on the lower plane, the height of the conical pile increases rapidly in the early stage of the pile, and after the pile reaches a certain height, the height of the conical pile does not increase rapidly, but increases slowly, so that a conical pile is formed, and the bottom angle of the conical pile is called the pile angle.
The purpose of sample platform lift lies in the detection that adapts to different particle size material products. The material with large particle size can accurately calculate the stacking angle and the stacking density only by stacking the conical material pile with larger bottom area, while the material pile with larger bottom area means higher height, otherwise, the material with smaller particle size can stack the material pile with smaller bottom area, that is, the material pile with smaller height can calculate accurate data. Therefore, the product with smaller particle size is detected by only reducing the height, the detection time is obviously saved, and the product with larger particle size can obtain accurate data by increasing the height.
The particle size identification can be realized by adopting a video image identification or laser radar identification mode to identify the material flow in the falling process, and the particle size of the material can be quickly obtained according to the flow characteristics of the falling material. Of course, since the known material is loaded, the particle size of the product is also known and can be directly extracted from the database. Automatic particle size identification is also a solution that can be achieved without particle size data.
And 4, finishing stacking materials: when the materials on the sample table are stacked to a state that the materials are not rapidly lifted, the central control device sends an instruction to close the sampling gate, the sample stacking shape sensor acquires the shape of the current stacked object, the weighing sensor weighs the weight of the material sample on the current sample table, and the shape of the current stacked object and the weight of the material sample on the current sample table are sent to the stacking angle arithmetic unit and the stacking density arithmetic unit;
the sample stacking shape sensor continuously monitors the material stack on the sample table and continuously observes the change of the material stack. The material pile is formed from the beginning, then the material pile is continuously and rapidly increased, when the material pile reaches a certain height, the height is not rapidly increased, at this time, the limit of the material pile height can be considered to be approached or reached, at this time, the pile angle of the material pile can be considered to be the required pile angle during loading, and at this time, the material pile density can be considered to be the material pile density in a carriage during loading. At this time, the shape of the current material pile is intercepted by the sample pile shape sensor and used for calculating the volume and the pile angle of the material pile.
Step 5, calculating various parameters of the material pile: the stacking angle arithmetic unit analyzes and measures and calculates the shape of the obtained current stacking object through the sample stacking shape sensor to obtain the stacking angle of the current bulk material, the stacking height and the conical ground diameter, calculates the volume of conical stacking according to the data, and calculates the stacking density by combining the weighing sensor or the obtained weight of the current material stack;
the shape of the conical material pile is very obvious, so that the stacking angle measured by the shape recognition is more accurate, the height of the conical material pile is also more easily and accurately measured, and the volume calculation of the conical material pile can be obtained by adopting a mode of combining the stacking angle and the stacking height for calculation due to the scattering relation, particularly the scattering of large-particle-size materials is more dispersed, and the ground diameter of the conical material pile is relatively vague.
And 6, emptying: and clearing the material pairs on the sample table, and simultaneously emptying the bypass sampling bin to prepare for a detection process.
The sample platform can remove the material pile in a mode of overturning and vibrating, and can also remove the material in a scraper mode. And the bypass sampling bin opens a sampling gate to directly pour the material onto the sample table, and the material is removed together with the material pile. The better mode is that the residual materials in the bypass sampling bin are directly discharged by rotating the material conveying groove or other modes, so that the impact of the residual materials on the sample platform is avoided.
Finally, it should be noted that the above is only for illustrating the technical solution of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred arrangement, it should be understood by those skilled in the art that the technical solution of the present invention (such as the form of loading station, the connection manner of various systems, the sequence of steps, etc.) can be modified or equivalently replaced without departing from the spirit and scope of the technical solution of the present invention.

Claims (10)

1. An on-line detection system for bulk material characteristics of a loading station comprises: the bypass sampling device is characterized in that a flat sample table is arranged below the bypass sampling bin, a sample stacking shape sensor is arranged above the sample table, a weighing sensor and a sample table cleaner are arranged below the sample table, the sampling gate, the sample stacking shape sensor, the weighing sensor and the sample table cleaner are connected with a central processing unit, and a stacking angle arithmetic unit and a stacking density arithmetic unit are arranged in the central processing unit.
2. The on-line detection system of claim 1, wherein the bypass sampling chamber is cylindrical or prismatic, and the sampling gate is disposed at the bottom or lower side of the sampling chamber.
3. The on-line detecting system as claimed in claim 2, wherein a feeding chute capable of selecting a feeding direction by rotation is provided between the sampling gate and the sample stage, and the feeding chute is connected to the central control device.
4. The on-line detection system of claim 3, wherein the plate-shaped sample stage is provided with an automatic sample stage lifting mechanism, and the automatic sample stage lifting mechanism is connected with the central processing unit.
5. The on-line detection system as claimed in claim 4, wherein the central processing unit is provided with a sample particle size identifier and a lifting height calculator for controlling the lifting height of the sample stage.
6. The on-line detecting system of claim 5, wherein the sample stacking shape sensor is a camera, the central processing unit is provided with an image recognizer, and the image recognizer is connected with the stacking angle arithmetic unit, the bulk density arithmetic unit, the sample particle size recognition and the lifting height arithmetic unit.
7. The on-line detection system of claim 5, wherein the sample stacking shape sensor is a laser radar, and the central processing unit is provided with a shape recognizer, and the shape recognizer is connected with a stacking angle calculator, a stacking density calculator, a sample particle size recognition calculator and a lifting height calculator.
8. The on-line inspection system of claim 6 or 7, wherein the sample stage cleaner is a squeegee cleaning mechanism.
9. The on-line inspection system of claim 6 or 7, wherein the sample stage cleaner is a flipping and shaking mechanism.
10. A method for on-line detection of bulk material characteristics at a loading station using the system of claim 9, the method comprising the steps of:
step 1, collecting samples: in the logistics transportation link, the currently transported bulk materials are collected through a bypass sampling device, and collected samples are sent to a bypass sampling bin for storage;
step 2, lifting the flat sample platform: the central processing unit controls the flat sample platform to rise to a lifting starting zero point, and the lifting starting zero point is positioned at a position close to an outlet of the sampling gate or the material conveying groove;
and step 3, starting to stack materials: the central processing unit controls the opening of the sampling gate, the material sample begins to fall on the sample table to generate stacking, the sample table begins to descend, and the lifting height arithmetic unit calculates the height of the material pile suitable for measurement according to the input particle size data or the particle size data identified by the particle size identifier, so as to determine the descending height of the sample table;
and 4, finishing stacking materials: when the materials on the sample table are stacked to a state that the materials are not rapidly lifted, the central control device sends an instruction to close the sampling gate, the sample stacking shape sensor acquires the shape of the current stacked object, the weighing sensor weighs the weight of the material sample on the current sample table, and the shape of the current stacked object and the weight of the material sample on the current sample table are sent to the stacking angle arithmetic unit and the stacking density arithmetic unit;
step 5, calculating various parameters of the material pile: the stacking angle arithmetic unit analyzes and measures and calculates the shape of the obtained current stacking object through the sample stacking shape sensor to obtain the stacking angle of the current bulk material, the stacking height and the conical ground diameter, calculates the volume of conical stacking according to the data, and calculates the stacking density by combining the weighing sensor or the obtained weight of the current material stack;
and 6, emptying: and clearing the material pairs on the sample table, and simultaneously emptying the bypass sampling bin to prepare for a detection process.
CN202010316358.0A 2020-04-21 2020-04-21 System and method for online detection of bulk material characteristics of loading station Pending CN111504860A (en)

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