CN112607363A - Intelligent bulk material conveying system and application thereof - Google Patents
Intelligent bulk material conveying system and application thereof Download PDFInfo
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- CN112607363A CN112607363A CN202011490276.4A CN202011490276A CN112607363A CN 112607363 A CN112607363 A CN 112607363A CN 202011490276 A CN202011490276 A CN 202011490276A CN 112607363 A CN112607363 A CN 112607363A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
- B65G43/08—Control devices operated by article or material being fed, conveyed or discharged
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G23/00—Driving gear for endless conveyors; Belt- or chain-tensioning arrangements
- B65G23/44—Belt or chain tensioning arrangements
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G65/00—Loading or unloading
- B65G65/30—Methods or devices for filling or emptying bunkers, hoppers, tanks, or like containers, of interest apart from their use in particular chemical or physical processes or their application in particular machines, e.g. not covered by a single other subclass
- B65G65/32—Filling devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G69/00—Auxiliary measures taken, or devices used, in connection with loading or unloading
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2201/00—Indexing codes relating to handling devices, e.g. conveyors, characterised by the type of product or load being conveyed or handled
- B65G2201/04—Bulk
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/02—Control or detection
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/04—Detection means
- B65G2203/041—Camera
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- Engineering & Computer Science (AREA)
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- Control Of Conveyors (AREA)
Abstract
The invention provides an intelligent bulk cargo conveying system and application thereof, the system comprises a high-speed camera arranged at the feeding end of a feeding conveyor belt, an intelligent detection control system in communication connection with the high-speed camera, a distributing machine which is connected with the head of the feeding conveyor belt and is elevated, and a plurality of bins arranged below the distributing machine, wherein the distributing machine comprises a main frame, a main conveyor belt arranged on the main frame and a distributing trolley arranged above the main conveyor belt, the distributing trolley comprises a main frame, the automatic feeding device comprises a roller mechanism, a protective cover mechanism, a transverse material distribution mechanism and a travelling mechanism, wherein the travelling mechanism is arranged on a material distribution track of which a main frame is positioned on two sides of a main belt conveyor, a high-speed camera shoots photos of bulk materials to be conveyed, an intelligent detection control system automatically detects the photos shot by the high-speed camera and classifies the photos, and the intelligent detection control system controls the travelling mechanism and the transverse material distribution mechanism of a material distribution trolley to deliver the bulk materials into a storage bin corresponding to classified materials according to classification results.
Description
Technical Field
The invention belongs to the technical field of material identification and detection and intelligent distribution, and particularly relates to an intelligent bulk material conveying system and application thereof.
Background
The stone materials can be subdivided into stone powder, fine sand, medium sand, coarse sand, fine stone, medium stone, coarse stone and other categories according to different particle sizes; the stone material is subdivided into natural sand, natural stone, machine-made sand, machine-made stone and the like according to different obtaining modes. Concrete has different types of specific requirements for stone according to different uses and different labels. In order to produce concrete with different properties, different requirements and different grades, stones of different types need to be fed accurately. The prior stone and concrete production, processing, storage and transportation are highly large-scale, automatic and integrated; the realization of accurate distinction of different types of the existing stones through an automatic means is very important.
In the prior art, a stone conveying system has some defects, for example, stone data are usually acquired by adopting manual naked eyes or stone data are acquired by adopting mobile equipment, different types of stones can be accurately fed back by adopting manual naked eye observation, but the system is time-consuming and labor-consuming and has certain safety risk; the material distributing and distributing belt conveyor generally completes the material distributing and distributing operation process through the combined work of a material distributing trolley erected on a main conveying belt frame and a transverse positive and negative belt conveyor, and because the material distributing trolley is erected above the main conveying belt, the gravity center of the material distributing process is unstable, and the vibration is obvious; the cloth dead angle area between the cloth dolly initial point position and the main conveyor belt material loading point position is too big, and the storage space of feed bin is wasted more scheduling problem.
Disclosure of Invention
Aiming at the defects of the prior technical scheme, the invention provides an intelligent bulk material conveying system and application thereof.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides an intelligent bulk conveying system and application thereof, the system comprises a high-speed camera arranged at the feeding end of a feeding conveyor belt, an intelligent detection control system in communication connection with the high-speed camera, a material distributor connected with the head of the feeding conveyor belt and elevated, and a plurality of bins arranged below the material distributor, wherein the material distributor comprises a main frame, a main conveyor belt arranged on the main frame, and a material distribution trolley arranged above the main conveyor belt, the material distribution trolley comprises a main frame, a roller mechanism, a protective cover mechanism, a transverse material distribution mechanism and a travelling mechanism, the travelling mechanism is arranged on a material distribution track of the main frame positioned at two sides of the main conveyor belt, the high-speed camera shoots photos of bulk materials to be conveyed, the intelligent detection control system automatically detects and classifies the photos shot by the high-speed camera, and the intelligent detection control system controls the travelling mechanism and the transverse distribution mechanism of the distribution trolley to deliver the bulk materials into the storage bins of the corresponding classified materials according to the classification result.
Furthermore, the cloth trolley is further provided with an overhauling walking platform, the overhauling walking platform comprises a crawling ladder and an overhauling platform, the cloth rail forms the overhauling walking platform with the width of 0.3-0.5m, and the crawling ladder is connected with the cloth rail and the overhauling platform.
Further, the maintenance platform is arranged around the protective cover mechanism, and a front baffle of the protective cover mechanism can be detached independently.
Further, a plurality of is arranged to feed bin horizontal row and vertical row, horizontal cloth mechanism's scalable belt feeder is positive and negative reversible belt feeder, the flexible different feed bins that align the horizontal row of export through scalable belt feeder of horizontal cloth mechanism, the running gear walking makes horizontal cloth mechanism's export aligns the different feed bins of vertical row.
Furthermore, an automatic belt tensioning device is arranged at a driven roller of the main belt conveyor and comprises a hydraulic telescopic machine, and the hydraulic telescopic machine is connected with the driven roller of the main belt conveyor and drives the driven roller to move so as to tension the belt.
Further, automatic belt tensioning device is still including connecting the mounting panel of driven cylinder, mounting panel sliding connection is in the fixed plate, the fixed plate is fixed on the support of main belt conveyor, the hydraulic stretching machine is connected the mounting panel drives through the mounting panel driven cylinder removes to realize the belt tensioning.
Further, still set up the not hard up of sensor detection belt on the main belt conveyor, the sensor is connected intellectual detection system, intellectual detection system control hydraulic compressor.
Further, intelligence bulk cargo conveying system still includes the infrared ray grid protection network that centers on material loading conveyor belt, cloth machine and feed bin set up, infrared ray grid protection network with intellectual detection system communication connection, intellectual detection system control infrared ray grid protection network with material loading conveyor belt the cloth machine is opened and is closed in step, the infrared ray grid protection network is used for the unexpected people or thing that get into when intelligence bulk cargo conveying system operates report to the police and promptly close.
Furthermore, the intelligent bulk material conveying system is applied to conveying sub-bins of stones, and the intelligent detection control system stores an automatic stone category detection program based on machine learning.
Further, the automatic machine learning-based stone category detection program comprises the following execution steps:
step A: establishing a stone type classifier model, which specifically comprises the following steps:
step A1: building a stone image database, wherein the stone image database defines a plurality of stone types and collects a plurality of stone image data for each stone type;
step A2: performing feature extraction on the stone image data of each stone category in the stone image database established in the step A1;
step A3: sending the characteristic values extracted in the step A2 into a classifier for training to form a classifier model for identifying each stone category;
and B: carry out building stones class automated inspection, specifically include:
step B1: collecting a stone image to be detected;
step B2: extracting the corresponding characteristics of the stone image to be detected and the step A2;
step B3: and B2, sending the feature values extracted in the step B2 into the classifier model formed by training in the step A3, and outputting the stone type to which the stone image to be detected belongs by the classifier model, wherein the stone type comprises classification according to the color, the material and the size of stone.
The invention has the advantages that the automatic detection and classification of incoming materials are realized by arranging the high-speed camera and the intelligent detection control system, bulk materials are sent into different bins according to the classification result, the width and the length of the bin can be increased and reduced by using the telescopic belt conveyor as the transverse material distribution mechanism, the structure is different from the structure with fixed length of the transverse material distribution mechanism in the prior art, the distribution of the bins can be changed by using the structure under the condition that the field length is not enough by using the transverse space on the arrangement of the bins through the telescopic structure design, the distribution design of some special places is met, the walking mechanisms are arranged at two sides of the main belt conveyor, the width of a material distribution trolley is increased, the running stability of the trolley is improved, the walking channel during maintenance is designed by using the width, the structural rationality of the system is improved, the belt automatic belt tensioning device is arranged at the driven roller of the main belt conveyor to avoid the belt loosening, an infrared grid protective net is added to prevent people or objects from entering the working range of the machine by mistake in the running process of the machine to cause production safety accidents.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the description of the embodiments will be briefly introduced, and it is apparent that the drawings in the following description are only some embodiments of the present invention.
FIG. 1 is a schematic side view of an intelligent bulk material conveying system;
FIG. 2 is a schematic top view of the intelligent bulk material conveying system;
FIG. 3 is a schematic side view of the distributing machine of the intelligent bulk material conveying system of the present invention;
FIG. 4 is a schematic view of a front view of a spreader of the intelligent bulk material conveying system of the present invention;
FIG. 5 is a schematic view of a partial side view of a material distributor of the intelligent bulk material conveying system of the present invention;
FIG. 6 is a schematic view of a partial front view of a spreader of the intelligent bulk material conveying system of the present invention;
FIG. 7 is a schematic structural view of the main belt conveyor automatic tensioning device of the intelligent bulk conveying system of the present invention;
FIG. 8 is a schematic diagram illustrating the procedure of the automatic stone type detection program used in the intelligent bulk material conveying system according to the present invention;
fig. 9 is a schematic view of an automatic stone type detection program scheme used in the intelligent bulk material conveying system.
The notation in the figure is: the device comprises a discharge opening 1, a feeding belt conveyor 2, a high-speed camera 3, an intelligent detection control system 4, a material distributor 5, a storage bin 6, an infrared grid protection net 7, high-level supporting legs 51, a main frame 52, a material distribution rail 521, a main belt conveyor 53, a material distribution trolley 54, a main frame 541, a roller mechanism 542, a protective cover mechanism 543, a transverse material distribution mechanism 544, a walking mechanism 545, an overhaul walking platform 546, a ladder 5461, an overhaul platform 5462, a belt automatic tensioning device 531, a driven roller 532, a belt 533, a support 534, a hydraulic telescopic machine 5311, an installation plate 5312, a fixing plate 5313 and a sensor 5314.
Detailed Description
The present invention will be further described with reference to the accompanying drawings so as to facilitate the understanding of the present invention by those skilled in the art.
All directional indicators (such as upper, lower, left, right, front and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship, movement, etc. of each component in a specific posture (as shown in the figure), and if the specific posture is changed, the directional indicator is changed correspondingly; all technical features, such as "first", "second", or "first", "second", etc., named with a number are used for reference only, without meaning to indicate quantity or importance; all terms "connected" or the like are to be interpreted broadly, e.g., as meaning a mechanical or electrical connection, a direct or indirect connection, a fixed or removable connection, etc., as determined by the actual intent of the solution; the technical characteristics of the multiple embodiments can be freely combined without conflict, as long as a corresponding technical scheme for solving the technical problems can be formed; the technical solutions described in the embodiments are for achieving the purpose of the present invention, and the parts not described in detail are achieved by using the prior art.
As shown in fig. 1-9, the present invention provides an intelligent bulk material conveying system, which comprises an obliquely arranged feeding belt conveyor 2, a high-speed camera 3 arranged on the feeding belt conveyor 2, an intelligent detection control system 4 in communication connection with the high-speed camera 3, a distributing machine 5 connected with the head of the feeding belt conveyor 2 and elevated, and a plurality of bins 6 arranged below the distributing machine 5, wherein the distributing machine 5 comprises a high-position support leg 51 supported on the ground, a main frame 52 supported by the high-position support leg 51, a main belt conveyor 53 arranged on the main frame 52, and a distributing trolley 54 arranged above the main belt conveyor 53, the distributing trolley 54 comprises a main frame 541, a roller mechanism 542, a protective cover mechanism 543, a transverse distributing mechanism 544, and a traveling mechanism 545, the traveling mechanism 545 is arranged on a distributing track 521 of the main frame 52 located at two sides of the main belt conveyor 53, the transverse distributing mechanism 544 adopts a telescopic belt conveyor, the high-speed camera 3 shoots the pictures of stones conveyed on the feeding belt conveyor 2, the intelligent detection control system 4 automatically detects the pictures shot by the high-speed camera 3 and classifies the pictures, and the intelligent detection control system 4 controls the travelling mechanism 545 of the distributing trolley 54 and the transverse distributing mechanism 544 to send the stones into different bins 6 according to the classification result. Specifically, incoming materials are conveyed to a discharge opening 1 by a dump truck and the like for discharging, the discharged materials are conveyed to a distributing machine 5 through a feeding belt conveyor 2, a high-definition picture of the incoming materials is shot by a high-speed camera 3 in the conveying process and sent to an intelligent detection control system 4, and after the intelligent detection control system 4 automatically identifies and classifies the incoming materials, a control signal is sent to control a distributing trolley 54 to accurately convey the incoming materials into a corresponding storage bin 6. Throughout the claims and specification of the present invention, the bulk material of the present invention refers to bulk materials including, but not limited to, stones, feed, and the like.
Further, a maintenance walking platform 546 is further arranged on the material distribution trolley 54, the maintenance walking platform 546 includes a ladder 5461 and a maintenance platform 5462, the material distribution rail 521 forms a maintenance walking platform with a width of 0.3-0.5m, and the ladder 5461 connects the material distribution rail 521 and the maintenance platform 5462.
Further, the maintenance platform 5462 is disposed around the protection cover mechanism 543, and a front baffle of the protection cover mechanism 543 can be detached separately.
Further, a plurality of is arranged with erecting to 6 horizontal rows of feed bin, the scalable belt feeder of horizontal cloth mechanism 544 is positive and negative reversible belt feeder, the flexible different feed bins that align the horizontal row of export through scalable belt feeder of horizontal cloth mechanism 544, running gear 545 walking makes the different feed bins of the vertical row of export alignment of horizontal cloth mechanism 544.
Further, an automatic belt tensioning device 531 is arranged at the driven roller 532 of the main belt conveyor 53, the automatic belt tensioning device 531 comprises a hydraulic expansion machine 5311, and the hydraulic expansion machine 5311 is connected with the driven roller 532 of the main belt conveyor 53 to drive the driven roller 532 to move so as to tension the belt 533.
Further, the automatic belt tensioning device 531 further includes a mounting plate 5312 connected to the driven roller 532, the mounting plate 5312 is slidably connected to a fixing plate 5313, the fixing plate 5313 is fixed to the bracket 534 of the main belt conveyor 53, the hydraulic compressor 5311 is connected to the mounting plate 5312, and the mounting plate 5312 drives the driven roller 532 to move, so as to tension the belt 533.
Further, a sensor 5314 is further arranged on the main belt conveyor 53 to detect the loosening of the belt 533, the sensor 5314 is connected with the intelligent detection control system 4, and the intelligent detection control system 4 controls the hydraulic telescopic machine 5311.
Further, intelligence bulk cargo conveying system still includes around the infrared ray grid protection network 7 that material loading conveyor belt 2, cloth machine 5 and feed bin 6 set up, infrared ray grid protection network 7 with intelligent detection control system 4 communication connection, intelligent detection control system 4 control infrared ray grid protection network 7 with material loading conveyor belt 2 cloth machine 5 is opened and is closed in step, infrared ray grid protection network 7 is used for the unexpected people or thing that get into when intelligent bulk cargo conveying system operates report to the police and emergency shut down in the trigger of.
Further, the intelligent bulk material conveying system is applied to conveying sub-bins of stones, and the intelligent detection control system 4 stores an automatic stone type detection program based on machine learning. Further, the automatic detection program of stone type based on machine learning comprises a step A and a step B,
the building method comprises the following steps of A, building a stone type classifier model, wherein the step A specifically comprises the following steps: a1, establishing a stone image database, defining a plurality of stone categories, and collecting a plurality of stone image data for each stone category; step A2, performing feature extraction on the stone image data of each stone category in the stone image database established in step A1; step A3, sending the feature values extracted in step A2 into a classifier for training, and forming a classifier model for identifying each stone category;
the step B carries out automatic detection on stone types, and the step B specifically comprises the following steps: b1, collecting a stone image to be detected; b2, extracting corresponding characteristics of the stone image to be detected and the stone image in the A2; and B3, sending the feature values extracted in the step B2 into the classifier model formed by the training in the step A3, and outputting the stone type to which the stone image to be detected belongs by the classifier model, wherein the stone type comprises classification according to the color, the material and the size of stone.
Further, the specific steps of step a2 include: step A21: extracting Local Binary (LBP) features from the stone image data for each stone category in the stone image database; step A22: extracting Higher Order Wavelet Statistics (HOWS) features from the stone image data for each stone category in the stone image database; step A23: and (4) carrying out feature fusion on the Local Binary (LBP) features obtained in the step A21 and the high-order wavelet statistics (HOWS) features obtained in the step A22 to obtain feature values for classification training.
Further, the values of the features used for the classification training obtained in the step a23 are feature vectors; the classifier in the step a3 is an SVM classifier.
In particular, the local binary feature (LBP) is one of the graphics texture features, the local binary feature (LBP) operator definition being: in an image area with the size of 3 × 3 pixels, comparing the surrounding pixel values with the central pixel value, if the surrounding pixel values are greater than the central pixel value, the value is 1, otherwise the value is 0, so that a binary number can be obtained, the binary number is converted into a decimal number, and the histogram of the decimal number obtained by all windows in the image is counted, so that the LBP feature can be obtained, and the specific process can also be expressed by the following formula:
where gi denotes surrounding pixels, gcRepresenting the center pixel.
Preferably, the dimension of the LBP feature is 59 dimensions.
Specifically, the high-order wavelet statistical characteristic (HOWS) is one of the statistical characteristics of natural images, and is established on the basis of multi-scale wavelet decomposition for further calculation, so as to realize the multi-order statistics of the images in a wavelet domain, the extraction of the high-order wavelet statistical characteristic (HOWS) firstly uses a mirror image filter to perform multi-level wavelet decomposition on an input image, each level of decomposition obtains a low-frequency part and a high-frequency part, and the high-frequency part is divided into three sub-bands of a horizontal part, a vertical part and a diagonal part; the next level of decomposition can continue for the low frequency portion; repeating the above process, and performing wavelet decomposition in three levels to obtain nine high-frequency sub-bands; and respectively calculating four statistical values of each high-frequency sub-band, namely the mean, the variance, the kurtosis and the inclination, so as to obtain the HOWS characteristics.
Preferably, the dimension of the higher order wavelet statistical characteristic (HOWS) is 108 dimensions.
Further, the SVM classifier adopts a linear kernel function SVM classifier.
Specifically, the SVM classifier is a classification model named as a support vector machine; the SVM classifier can find the best classification plane for testing the classification of the features through given training features; the SVM classifier adopts a linear kernel function, so that the classification problems of small samples, nonlinearity and the like are well solved.
Further, the stone image data of each stone type in the stone image database are stored independently of each other, and the number of the stone image data of each stone type is not less than 50.
Building a stone type classifier model based on machine learning in advance through the automatic stone type detection program, by performing machine learning on stone image data in a stone image database, a plurality of classification modes of stones can be realized by introducing a classifier, such as color, material, size, compared to the prior art which can only simply distinguish the stone type according to the grain size of the stone, because the invention introduces the machine learning method, the classification result is more precise and various, the corresponding classifier model can be obtained through training only by defining the stone type in the stone database and uploading the stone image of the corresponding type, therefore, the method and the system can be applied to various production lines of high-scale, automatic and integrated stone and concrete production, processing, storage and transportation, and have wider application range.
The invention has the advantages that the automatic detection and classification of the incoming materials are realized by arranging the high-speed camera 3 and the intelligent detection control system 4, the incoming materials are scattered into the storage bins 6 corresponding to the classified materials according to the classification result, the width and the length of the storage bins 6 can be increased and reduced by using the telescopic belt conveyor as the transverse distribution mechanism 544, the distribution of the storage bins 6 can be changed by the structure under the condition that the field length is insufficient by using the transverse space on the arrangement of the storage bins 6 through the telescopic structural design, the distribution design of some special places is satisfied, the walking mechanisms 545 are arranged at the two sides of the main conveying belt conveyor 53, the width of the distribution trolley 54 is increased, the running stability of the distribution trolley is improved, and the walking is designed by using the width to pass the walking during maintenance, the structural reasonability of the system is improved, the automatic belt tensioning device 531 is arranged at the driven roller 532 of the main belt conveyor 53 to avoid the loosening of the belt 533, and the infrared grille protection net 7 is added to prevent production safety accidents caused by the fact that people or objects enter the working range of the machine by mistake in the running process of the machine.
The above examples are only for illustrating the preferred embodiments of the present invention, and are not to be construed as limiting the invention, and those skilled in the art can change the embodiments and applications of the present invention according to the spirit of the present invention, and the content of the present description should not be construed as limiting the invention.
Claims (10)
1. An intelligent bulk conveying system is characterized by comprising a high-speed camera arranged at the feeding end of a feeding conveyor belt, an intelligent detection control system in communication connection with the high-speed camera, a material distributor connected with the head of the feeding conveyor belt and elevated, and a plurality of material bins arranged below the material distributor, wherein the material distributor comprises a main frame, a main conveyor belt arranged on the main frame, and a material distribution trolley arranged above the main conveyor belt, the material distribution trolley comprises a main frame, a roller mechanism, a protective cover mechanism, a transverse material distribution mechanism and a travelling mechanism, the travelling mechanism is arranged on material distribution tracks of the main frame positioned at two sides of the main conveyor belt, the high-speed camera shoots photos of bulk materials to be conveyed, the intelligent detection control system automatically detects and classifies the photos shot by the high-speed camera, and the intelligent detection control system controls the travelling mechanism and the transverse distribution mechanism of the distribution trolley to deliver the bulk materials into the storage bins of the corresponding classified materials according to the classification result.
2. The intelligent bulk conveying system according to claim 1, wherein the distribution trolley is further provided with an overhaul walking platform, the overhaul walking platform comprises a crawling ladder and an overhaul platform, the distribution rail forms an overhaul walking platform with a width of 0.3-0.5m, and the crawling ladder is connected with the distribution rail and the overhaul platform.
3. The intelligent bulk conveying system according to claim 2, wherein the service platform is disposed around the protective cover mechanism, and a front baffle of the protective cover mechanism is individually detachable.
4. The intelligent bulk conveying system according to claim 1, wherein the plurality of the horizontal and vertical bins are arranged, the retractable belt conveyor of the transverse distribution mechanism is a reversible belt conveyor, the outlet of the transverse distribution mechanism is aligned with the different bins of the horizontal through the extension of the retractable belt conveyor, and the walking mechanism walks to align the outlet of the transverse distribution mechanism with the different bins of the vertical.
5. The intelligent bulk conveying system according to any one of claims 1 to 4, wherein an automatic belt tensioning device is arranged at the driven roller of the main belt conveyor, and the automatic belt tensioning device comprises a hydraulic telescopic machine, and the hydraulic telescopic machine is connected with the driven roller of the main belt conveyor to drive the driven roller to move so as to tension the belt.
6. The intelligent bulk conveying system according to claim 5, wherein the belt automatic tensioning device further comprises a mounting plate connected with the driven roller, the mounting plate is slidably connected to a fixing plate, the fixing plate is fixed on a support of the main belt conveyor, the hydraulic telescopic machine is connected with the mounting plate, and the driven roller is driven to move by the mounting plate, so that belt tensioning is realized.
7. The intelligent bulk conveying system according to claim 5, wherein a sensor is further arranged on the main belt conveyor to detect loosening of the belt, the sensor is connected with the intelligent detection control system, and the intelligent detection control system controls the hydraulic compressor.
8. The intelligent bulk conveying system according to any one of claims 1 to 4, further comprising an infrared grille protection net surrounding the feeding belt conveyor, the distributing machine and the storage bin, wherein the infrared grille protection net is in communication connection with the intelligent detection control system, and the intelligent detection control system controls the infrared grille protection net to be synchronously opened and closed with the feeding belt conveyor and the distributing machine.
9. The application of the intelligent bulk conveying system according to any one of claims 1 to 8, wherein the intelligent bulk conveying system is applied to conveying sub-bins of stone, and the intelligent detection control system stores an automatic stone type detection program based on machine learning.
10. The application of the intelligent bulk conveying system according to claim 9, wherein the automatic detection program based on machine learning stone category comprises the following steps:
step A: establishing a stone type classifier model, which specifically comprises the following steps:
step A1: building a stone image database, wherein the stone image database defines a plurality of stone types and collects a plurality of stone image data for each stone type;
step A2: performing feature extraction on the stone image data of each stone category in the stone image database established in the step A1;
step A3: sending the characteristic values extracted in the step A2 into a classifier for training to form a classifier model for identifying each stone category;
and B: carry out building stones class automated inspection, specifically include:
step B1: collecting a stone image to be detected;
step B2: extracting the corresponding characteristics of the stone image to be detected and the step A2;
step B3: and B2, sending the feature values extracted in the step B2 into the classifier model formed by training in the step A3, and outputting the stone type to which the stone image to be detected belongs by the classifier model, wherein the stone type comprises classification according to the color, the material and the size of stone.
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| CN202011490276.4A CN112607363A (en) | 2020-12-16 | 2020-12-16 | Intelligent bulk material conveying system and application thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113895984A (en) * | 2021-10-11 | 2022-01-07 | 长沙输送机械科技有限公司 | Stepped stock bin material distributing and distributing equipment |
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