Bauxite photoelectric sorting method and system

By using photoelectric sorting methods and systems, bauxite is identified by its reflectivity, transmittance, and absorption characteristics, and impurities are automatically removed. This solves the problems of low bauxite sorting efficiency and unstable quality, achieving efficient and stable automated sorting and reducing costs.

CN119608611BActive Publication Date: 2026-02-13CHANGSHA SHENGHUA ZHIXUAN EQUIP MFG CO LTD
View PDF 2 Cites 0 Cited by

Patent Information

Application Number
CN202411959212.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-30
Publication Date
2026-02-13
Estimated Expiration
2044-12-30

AI Technical Summary

Technical Problem

Existing bauxite sorting technologies are inefficient, have unstable sorting quality, and are labor-intensive, relying on manual operation, which leads to high costs and low precision.

Method used

The photoelectric sorting method is adopted. The scanning detection system uses reflectivity, transmittance and absorption characteristics to identify bauxite and the target objects to be removed. Combined with the sorting execution system, impurities are automatically removed to achieve automated sorting.

Benefits of technology

It improves the accuracy and stability of bauxite sorting, reduces labor intensity and production costs, enhances sorting quality, and reduces downstream processing volume.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119608611B_ABST
    Figure CN119608611B_ABST
Patent Text Reader

Abstract

A bauxite photoelectric sorting method and system, wherein the method comprises: S1, starting the bauxite photoelectric sorting system; S2, the bauxite to be sorted is transported to the conveying system through the feeding system, and the conveying system uniformly spreads the bauxite to be sorted on the conveying belt; S3, the bauxite to be sorted is photographed by the scanning detection system to obtain a bauxite detection image, an image recognition detection algorithm built in the industrial computer detects the bauxite detection image to obtain a detection result, and the scanning detection system converts the detection result into a digital signal; S4, the sorting execution system removes the target object to be removed from the bauxite to be sorted according to the digital signal, and then inputs the bauxite to a designated bin; and S5, repeating S2 to S4 until the bauxite to be sorted is completely sorted. The present application adopts an intelligent sorting mode, realizes accurate judgment of the bauxite, replaces the existing artificial rough control, and is more strict in the beneficiation standard and the beneficiation quality.
Need to check novelty before this filing date? Find Prior Art

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mineral separation, in particular to a bauxite photoelectric separation method and system. BACKGROUND

[0002] The present ore dressing means in China is still in the backward stage, from mining to ore dressing links, mainly including crushing, washing, manual coarse selection, grinding into powder, flotation process, etc., among them, the cost of mining link, crushing, washing link cannot be controlled, but the manual coarse selection link can be reformed through intelligent ore separation technology, which can greatly reduce the ore dressing cost. The stones collected from the mine include ore and waste rock, and under normal circumstances, waste rock accounts for the majority, and ore and waste rock are distinguished by the grade of containing minerals, and the ore with high grade is the ore, and the ore with low grade is the waste rock. According to the geological origin of the ore, the ore and the waste rock have obvious differences in composition, texture, color and other characteristics, therefore, the main purpose of manual coarse selection is to remove the waste rock through color and texture information, which is commonly known as waste throwing. However, the separation of bauxite often depends on manual selection or simple mechanical operation, which not only has low efficiency, but also has many problems in separation precision and cost control. The three main shortcomings of manual separation of bauxite include: 1. Low efficiency: manual separation is slow and cannot be compared with mechanical separation, resulting in low production efficiency, which is not suitable for large-scale ore processing. 2. Unstable separation quality: since manual separation depends on the experience and judgment of workers, it is easily affected by individual differences, resulting in uneven and unstable separation quality. 3. High labor intensity: manual separation requires workers to do repeated physical labor, which has high labor intensity and easily causes worker fatigue and health problems. SUMMARY

[0003] The present application provides a bauxite photoelectric separation method and system to solve the technical problems mentioned in the background art.

[0004] To achieve the above purpose, the technical scheme of the present application is as follows:

[0005] The present application provides a bauxite photoelectric separation method, which comprises the following steps:

[0006] S1, setting the operating parameters of the bauxite photoelectric separation system, and starting the bauxite photoelectric separation system;

[0007] S2, buffering the bauxite to be separated on the feeding system, the bauxite to be separated is conveyed to the conveying system through the feeding system, and the conveying system differentially separates the bauxite to be separated, so that the bauxite to be separated is evenly spread on the conveying belt of the conveying system;

[0008] S3, the bauxite to be sorted is photographed by a scanning detection system to obtain a bauxite detection image, an industrial computer in the scanning detection system detects the bauxite detection image according to different reflectivity, transmissivity and absorption characteristics of the bauxite and the target objects to be removed, obtains a detection result, and then the scanning detection system transmits the detection result to the sorting execution system through a digital signal;

[0009] S4, the sorting execution system removes the target objects to be removed mixed in the bauxite to be sorted according to the digital signal, and then inputs the bauxite after the target objects are removed into a designated bin;

[0010] S5, the steps S2 to S4 are repeated until the bauxite to be sorted is completely sorted by the bauxite photoelectric sorting system.

[0011] Further, the S1 specifically includes the following steps:

[0012] S11, the inclination of the vibration platform in the vibration feeder in the bauxite photoelectric sorting system is adjusted to a set angle, so as to realize the adjustment of the discharging speed of the bauxite to be sorted;

[0013] S12, then the feeding system, the transportation system, the scanning detection system and the sorting execution system are started respectively, and the operation parameters of the four systems are set, thus the bauxite photoelectric sorting system is normally started.

[0014] Further, the S2 specifically includes the following steps:

[0015] S21, the bauxite to be sorted is buffered to the feeding system, the feeding system flattens the uneven bauxite to be sorted, and then uniformly conveys the bauxite to be sorted to the transportation system;

[0016] S22, the bauxite to be sorted is differentially separated on the multiple conveyors with different conveying speeds in the transportation system, so that each individual in the bauxite to be sorted is single, so as to ensure that the scanning detection system can scan and image each individual in the bauxite to be sorted.

[0017] Further, the S3 specifically includes the following steps:

[0018] S31, the transportation system conveys the bauxite to be sorted directly below the scanning detection system, the bauxite to be sorted presents different reflectivity, transmissivity and absorption characteristics under the omnidirectional irradiation of the multiple linear light sources in the scanning detection system;

[0019] S32, the industrial camera CCD in the scanning detection system takes a photo of the bauxite to be sorted under the omnidirectional illumination of the plurality of spotlight linear light sources, to obtain a bauxite detection image; then the industrial camera CCD transmits the bauxite detection image to the industrial computer in the scanning detection system, and the industrial computer detects the bauxite detection image according to the different reflectivity, transmissivity and absorption characteristics of the bauxite and the target object to be removed, to obtain a detection result;

[0020] S33, then the industrial computer in the scanning detection system transmits the detection result to the sorting execution system through a digital signal.

[0021] Further, the S32 specifically comprises the following steps:

[0022] S321, the industrial camera CCD in the scanning detection system takes a photo of the bauxite to be sorted under the omnidirectional illumination of the plurality of spotlight linear light sources, to obtain a data image of a previous frame, which is a bauxite detection image of the previous frame;

[0023] S322, a data image of a current frame of the bauxite to be sorted is intercepted from a video taken by the industrial camera CCD in the scanning detection system, to obtain a bauxite detection image of the current frame;

[0024] S323, the image recognition detection algorithm built in the industrial computer splices the bauxite detection image of the previous frame and the bauxite detection image of the current frame, to form a complete bauxite detection image;

[0025] S324, the complete bauxite detection image obtained in S323 is subjected to a binarization process, to convert the image into black and white, and then find a connected domain therein;

[0026] S325, the complete Blob region in the bauxite detection image of the current frame is screened out from the found connected domain;

[0027] S326, the screened-out Blob region is analyzed, and the analysis objects include calculating the circumcenter position, texture features and gray scale information thereof; the analysis result is obtained through the analysis;

[0028] S327, the image recognition detection algorithm makes a classification decision according to the analysis result in S326, judges whether the region is a mineral, and outputs the detection result.

[0029] Further, the S4 specifically comprises the following steps:

[0030] S41, after the PLC in the sorting execution system receives the digital signal transmitted by the industrial computer in the scanning detection system, the digital output module in the PLC converts the digital signal into an electrical signal for generating a separation action;

[0031] S42, transmit the electric signal of the separating action to the PLC, the PLC transmits the electric signal of the separating action to the power amplification card, and the power amplification card amplifies the power of the electric signal of the separating action;

[0032] S43, the power amplified electric signal drives the switch of the electromagnetic valve, the nozzle on the electromagnetic valve uses the air with the set pressure to hit the target object to be rejected, so that the separation of the target object to be rejected in the sorting transmission process is realized;

[0033] S44, the bauxite after the target object is rejected is input to the designated bin by the conveying system.

[0034] The bauxite photoelectric sorting system provided by the application comprises the following components:

[0035] The feeding system is used for buffering, flattening and transporting the bauxite to be sorted;

[0036] The conveying system is connected with the feeding system and is used for differentially separating the bauxite to be sorted conveyed by the feeding system, so that each individual in the bauxite to be sorted is single.

[0037] The scanning detection system is arranged on the conveying system and is used for photographing and analyzing the bauxite to be sorted, so as to obtain a detection result.

[0038] The sorting execution system is arranged on the conveying system and is used for separating the target object to be rejected in the bauxite according to the digital signal corresponding to the detection result.

[0039] Further, the feeding system selects a vibrating feeder, and the inclination angle of the vibrating platform of the vibrating feeder has an adjusting function, so as to adjust the falling speed of the bauxite to be sorted.

[0040] Further, the scanning detection system comprises:

[0041] The two groups of spotlight linear light sources are arranged above the conveying system and are respectively located on the two sides of the conveying system, so that the bauxite to be sorted on the conveying system is irradiated in all directions.

[0042] The plurality of industrial cameras CCD are arranged above the conveying system and are used for photographing the bauxite to be sorted under the irradiation of the two groups of spotlight linear light sources in all directions.

[0043] The industrial control computer is electrically connected with the plurality of industrial cameras CCD, and the industrial control computer is internally provided with an image recognition detection algorithm for detecting and analyzing the bauxite detection image photographed by the industrial camera CCD.

[0044] Further, the sorting execution system selects a gas valve separation system or a mechanical arm sorting system.

[0045] The gas valve separation system comprises a PLC, a power amplification board card and a gas valve separation mechanism; the PLC is electrically connected with the scanning detection system, and the PLC, the power amplification board card and the gas valve separation mechanism are sequentially electrically connected.

[0046] The beneficial effects of the present application are as follows:

[0047] 1. The bauxite photoelectric separation system is used for automatic separation, accurate decision of bauxite is realized, and the existing manual separation mode is replaced; the bauxite photoelectric separation system is more strict than manual separation in terms of beneficiation standard and beneficiation quality; the judgment standard is unified, subjective and fuzzy judgment does not exist, and production quality is stable; in addition, labor intensity is reduced, and worker wages are reduced.

[0048] 2. The present application greatly improves the effect of discarding waste, improves the quality of bauxite separation, reduces the work load of processing silicon dioxide, calcium carbonate and the like in the downstream process, and reduces the production cost. BRIEF DESCRIPTION OF DRAWINGS

[0049] Figure 1 It is the overall structure diagram of the bauxite photoelectric separation system in the present application;

[0050] Figure 2 It is a local structure schematic view of the scanning detection system in the present application;

[0051] Figure 3 It is a schematic view of the parallel pipeline detection scheme in the embodiment of the present application;

[0052] Figure 4 It is a comparison chart of the outlet flow rates of multiple types of nozzles in the embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to facilitate the understanding of the present application, the present application will be described more fully below with reference to the related drawings. The preferred embodiments of the present application are shown in the drawings. However, the present application can be realized in many other different forms, and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive.

[0054] It should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0056] It should also be noted that the same reference signs are used in the same components or the same parts in the embodiments of the present application. For the same parts in the embodiments of the present application, only one part or component may be labeled with a reference sign in the drawing, and it should be understood that the reference sign is also applicable to other identical parts or components.

[0057] The embodiments of the present application provide a bauxite photoelectric sorting method, comprising the following steps:

[0058] S1, setting the operating parameters of the bauxite photoelectric sorting system, and starting the bauxite photoelectric sorting system;

[0059] S2, buffering the bauxite to be sorted on the feeding system, and conveying the bauxite to be sorted to the conveying system through the feeding system, and differentially separating the bauxite to be sorted by the conveying system to uniformly spread the bauxite to be sorted on the conveying belt of the conveying system;

[0060] S3, the bauxite to be sorted is photographed by the scanning detection system to obtain a bauxite detection image, an image recognition detection algorithm built in the scanning detection system detects the bauxite detection image according to the different reflectivity, transmissivity and absorption characteristics of the bauxite and the target objects to be removed, obtains a detection result, and then the scanning detection system transmits the detection result to the sorting execution system through a digital signal;

[0061] S4, the sorting execution system removes the target objects to be removed mixed in the bauxite to be sorted according to the digital signal, and then inputs the bauxite after removing the target objects to a designated bin;

[0062] S5, repeating S2 to S4 until the bauxite to be sorted is completely sorted by the bauxite photoelectric sorting system.

[0063] The present application utilizes photoelectric sorting technology, which can quickly scan and identify mineral particles in bauxite in a short time through high-resolution optical sensors. It utilizes the difference in the reflection, absorption or transmission properties of light of different mineral components in bauxite to rapidly classify ore particles.

[0064] Bauxite is a mineral containing aluminum, with its main component being aluminum oxide (Al2O3), and usually contains a certain amount of iron oxide, silicon dioxide and other impurities. 1. Reflection: Bauxite generally has moderate reflectivity, with color ranging from white to dark brown, and bauxite with high iron content may have higher reflectivity. Non-bauxite waste and impurities may include various minerals and rocks, which have very different reflectivity. For example, quartz sand has high reflectivity, while shale or organic waste may have lower reflectivity. 2. Transmission: Most bauxite is opaque, with very low transmission. Non-bauxite waste and impurities may be translucent, such as certain types of sand or transparent ore fragments, which may have higher transmission than bauxite. 3. Absorption: The absorption of light by bauxite is related to the iron content and impurities in the mineral, and usually exhibits a specific absorption spectrum. Non-bauxite waste and impurities may contain different chemical compositions and colors, resulting in different light absorption characteristics from bauxite. For example, copper-containing waste may absorb blue-green light, while iron-containing waste may absorb blue light. Therefore, the technology can accurately select the target mineral according to the set optical parameters such as reflectivity, color, transparency, etc. This makes the bauxite photoelectric sorting system efficient in removing impurities and improving the aluminum-silicon ratio when processing bauxite ore containing multiple minerals. Finally, traditional manual sorting is not only inefficient, but also greatly affected by subjective factors and has low precision. The bauxite photoelectric sorting system has high automation, reduces human error and improves the consistency and stability of sorting.

[0065] In some embodiments, the S1 specifically comprises the following steps:

[0066] S11, adjust the inclination of the vibration platform in the vibration feeder in the bauxite photoelectric sorting system to a set angle, so as to adjust the feeding speed of the bauxite to be sorted;

[0067] S12, then start the feeding system, the transportation system, the scanning and detection system and the sorting execution system respectively, and set the running parameters of the four systems, thus the bauxite photoelectric sorting system is normally started.

[0068] In some embodiments, the S2 specifically comprises the following steps:

[0069] S21, buffer the bauxite to be sorted on the feeding system, and the feeding system flattens the uneven bauxite to be sorted and then uniformly transports it to the transportation system;

[0070] S22, the bauxite to be sorted is separated at different speeds on the multiple conveyors in the transportation system, so that each individual in the bauxite to be sorted is individualized, to ensure that the scanning and detection system can scan and image each individual in the bauxite to be sorted.

[0071] For ease of understanding, the process of differential separation is illustrated as follows:

[0072] A plurality of conveyors with different conveying speeds are arranged in the conveying system. Assuming that the speed of the first section of the conveyor is relatively fast and the speed of the second section of the conveyor is relatively slow. When the bauxite to be sorted moves from the fast section to the slow section, due to inertia, the bauxite to be sorted will move forward relative to the slow conveyor until its speed decreases to match the speed of the slow conveyor. Conversely, if the bauxite to be sorted moves from the slow section to the fast section, the bauxite to be sorted will move backward relative to the fast conveyor due to insufficient speed. This allows each individual in the bauxite to be sorted to be individualized, ensuring that the industrial camera CCD processes the image of each individual.

[0073] In some embodiments, the S3 specifically includes the following steps:

[0074] S31, the conveying system conveys the bauxite to be sorted directly below the scanning detection system, and the bauxite to be sorted is irradiated by a plurality of linear light sources in the scanning detection system to present different reflectivity, transmissivity and absorption characteristics;

[0075] S32, the industrial camera CCD in the scanning detection system takes a photo of the bauxite to be sorted under the omnidirectional irradiation of the plurality of linear light sources to obtain a bauxite detection image; then the industrial camera CCD transmits the bauxite detection image to the industrial computer in the scanning detection system through the USB interface, and the industrial computer detects the bauxite detection image according to the different reflectivity, transmissivity and absorption characteristics of the bauxite and the target object to be removed to obtain a detection result;

[0076] S33, then the industrial computer in the scanning detection system transmits the detection result to the sorting execution system through a digital signal.

[0077] The present application adopts a parallel pipeline detection scheme, which performs each frame of image in parallel, cooperates with the uniform operation of the conveyor, and has the advantages that the processing time of each frame of image is the time between the image being collected and being removed by the sorting execution system, sufficient time is left for analyzing and processing the image, the single frame image processing time is controlled to be about 100 ms, the color, shape, size, material and other characteristics can be analyzed, and the detection rate and the missing detection rate can be greatly improved. The processing logic of the scanning detection system is as shown in Figure 3 .

[0078] In some embodiments, the S32 specifically includes the following steps:

[0079] S321, the industrial camera CCD in the scanning detection system is irradiated by multiple linear light sources in all directions, and photographs the bauxite to be sorted to obtain a data image of a previous frame, that is, a bauxite detection image of the previous frame; this step is to obtain continuous image information in time sequence, which is helpful for subsequent analysis and processing;

[0080] S322, a data image of a current frame of the bauxite to be sorted is intercepted from a video photographed by the industrial camera CCD in the scanning detection system, to obtain a bauxite detection image of the current frame; this step is to obtain the latest image information, so as to compare and analyze the bauxite detection image of the previous frame;

[0081] S323, the image recognition detection algorithm built in the industrial computer splices the bauxite detection image of the previous frame and the bauxite detection image of the current frame to form a complete bauxite detection image; the purpose of this step is to obtain more comprehensive image information, which is helpful for improving the accuracy of recognition and analysis;

[0082] S324, the complete bauxite detection image obtained in S323 is subjected to binaryzation processing, the image is converted into black and white, and then a connected domain is searched for; the purpose of this step is to simplify the image and highlight the target region, which is convenient for subsequent processing;

[0083] S325, a complete Blob region in the bauxite detection image of the current frame is screened out from the connected domain; the Blob region refers to a continuous homogeneous region in the image, and the purpose of this step is to find the target ore region;

[0084] S326, the screened Blob region is analyzed, and the analysis objects include calculating the circumcenter position, texture features and gray information; an analysis result is obtained through the analysis; the purpose of this step is to obtain feature information of the target region, so as to make subsequent classification decisions;

[0085] S327, the image recognition detection algorithm makes a classification decision according to the analysis result in S326, judges whether the region is ore, and outputs a detection result.

[0086] The whole process of S32 aims to automatically recognize and distinguish the ore region in the image through image processing and analysis. Through this series of steps, the scanning detection system can efficiently recognize and analyze the ore, and improve the accuracy and efficiency of ore sorting.

[0087] In some embodiments, S4 specifically includes the following steps:

[0088] S41, the PLC in the sorting execution system is electrically connected with the scanning detection system through a serial communication interface (such as RS-232, RS-485), after the PLC receives the digital signal sent by the industrial computer in the scanning detection system, the digital signal is converted into an electric signal of a separation action that can be understood by external equipment according to the result of the logic program by the digital output module in the PLC; the electric signal is usually a switching signal, which can be a high level (such as 24-volt direct current, V DC) or a low level (0 volts);

[0089] S42, the electric signal of the separation action is transmitted to the power amplification card, and the power amplification card amplifies the power of the electric signal of the separation action;

[0090] S43, the electric signal after power amplification drives the switch of the electromagnetic valve, and the nozzle on the electromagnetic valve uses air with a set pressure to hit the target object to be rejected, so as to realize the separation of the target object to be rejected in the sorting transmission process;

[0091] S44, the bauxite after the target object is rejected is input to the designated bin by the transportation system.

[0092] Referring to Figure 1 , the application further provides a bauxite photoelectric sorting system, which is sorted by the above bauxite photoelectric sorting method, and specifically comprises:

[0093] A feeding system for buffering, flattening and transporting the bauxite to be sorted;

[0094] A transportation system connected with the feeding system, for differential separation of the bauxite to be sorted transported by the feeding system, so that each individual in the bauxite to be sorted is single;

[0095] A scanning detection system erected on the transportation system, for photographing and analyzing the bauxite to be sorted, so as to obtain a detection result;

[0096] A sorting execution system erected on the transportation system, for separating the target object to be rejected in the bauxite to be sorted according to the digital signal corresponding to the detection result.

[0097] The bauxite photoelectric sorting system in the application is composed of a feeding system, a conveying system, a scanning detection system and a sorting execution system. The bauxite to be sorted is uniformly and neatly laid on the conveying belt of the conveying system through the feeding system, and then is conveyed to the position directly below the industrial camera CCD by the conveying belt running at high speed in the conveying system. The industrial camera CCD captures real-time images to obtain bauxite detection images, which are transmitted to the industrial computer. The image recognition detection algorithm built in the industrial computer calculates and analyzes the bauxite detection images to determine whether there is a target object to be removed, and finally feeds back to the PLC. The target object to be removed mixed in the bauxite is removed by the sorting execution system. The structure and working principle of the bauxite photoelectric sorting system are shown in Figure 1

[0098] In some embodiments, the feeding system selects a vibrating feeder, and the inclination angle of the vibrating platform on the vibrating feeder has an adjusting function to realize the adjustment of the falling speed of the bauxite to be sorted.

[0099] In some embodiments, the conveying belt on the conveying system adopts a wear-resistant, corrosion-resistant and durable mine special belt, which can ensure long-term stable use. The power mechanism of the conveying belt in the conveying system is a frequency converter and a speed reducer, which are drivingly connected. The frequency converter and the speed reducer have high tolerance to power fluctuations and stable running speed, and are not affected by the falling of the ore, the quantity and the like.

[0100] In some embodiments, the plurality of belts in the conveying system correspond to a plurality of different functional areas respectively, which are the falling area of the vibrating feeder, the ore conveying area, the optical detection area and the ore waste separation area. The feeding system and the conveying system realize the transfer of materials in the falling area of the vibrating feeder. The conveying system realizes differential separation of the bauxite to be sorted in the ore conveying area. The scanning detection system detects and analyzes the bauxite to be sorted in the optical detection area, and the sorting execution system separates the target object to be removed mixed in the bauxite to be sorted in the ore waste separation area.

[0101] In some embodiments, the scanning detection system comprises:

[0102] Two groups of spotlight linear light sources are arranged above the conveying system and are located on both sides of the conveying system respectively, so that the bauxite to be sorted on the conveying system is irradiated in all directions. The two groups of spotlight linear light sources provide uniform and strong light to illuminate the detection area and highlight the details and features of the surface of each individual of the bauxite to be sorted, reduce shadows and reflections, improve image quality, and facilitate the capture and processing of the industrial camera CCD.

[0103] A plurality of industrial cameras CCD are arranged above the conveying system, which are used to take pictures of the bauxite to be sorted under the irradiation of the two groups of spotlight linear light sources.​

[0104] The industrial computer is electrically connected with the plurality of industrial cameras CCD, and the industrial computer is internally provided with an image recognition detection algorithm for detecting and analyzing the bauxite detection images obtained by the industrial cameras CCD.

[0105] In some embodiments, the sorting execution system selects a gas valve separation system or a mechanical arm sorting system.

[0106] The gas valve separation system comprises a PLC, a power amplification board card and a gas valve separation mechanism, the PLC is electrically connected with the scanning detection system, and the PLC, the power amplification board card and the gas valve separation mechanism are sequentially electrically connected.

[0107] In some embodiments, the sorting execution system further comprises a conveyor belt variable frequency control system, which is used to control the transportation speed of the transportation system, so that the gas valve separation mechanism separates the target object to be removed

[0108] The gas valve separation mechanism is provided with a nozzle, and the nozzle is one of the core components of the gas valve separation mechanism. In a very short time, the target object is hit and thrown by the strong gas flow jetted through the nozzle, so as to give the target object an upward propulsion force to change the falling trajectory of the target object, so that the target object performs oblique throwing motion and falls into the remote material bin, and the material (i.e. bauxite) not jetted performs flat throwing motion and falls into the proximal material bin, so as to realize the separation purpose of bauxite and the target object to be removed.

[0109] The impact of the strong gas flow jetted by the nozzle is the key to the accurate and effective separation of the material during the material separation process, and the structure of the nozzle is closely related to the characteristics of the strong gas flow generated by the nozzle. Therefore, in order to achieve better separation precision and efficiency, on the basis of the theories of fluid mechanics and aerodynamics, the structural parameter analysis and comparison of the three structure types of the commonly used circular tube nozzle, the converging nozzle and the flat-shrink nozzle are carried out by means of ANSYS Fluent, the outlet flow velocities of the nozzles of the three structure types are compared, and the following results are obtained Figure 4 The results shown in the figure show that the circular tube nozzle structure is the most suitable. Figure 4

[0110] The present application realizes accurate decision of bauxite by the automatic sorting of the bauxite photoelectric sorting system, and the degree of intelligence and automation is high, the existing manual sorting mode is replaced, the bauxite photoelectric sorting system is relatively more strict than manual sorting in terms of ore dressing standard and ore dressing quality. The evaluation standard is unified, there is no subjective fuzzy judgment, and the production quality is stable; in addition, the labor intensity is reduced, and the worker's salary is reduced.

[0111] ​The above merely describes specific embodiments of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Furthermore, the technical solutions of each embodiment of the present application can be combined with each other, but it must be based on the realization of the ordinary skilled person in the art, when the combination of the technical solutions appears contradictory or unachievable, it should be considered that the combination of the technical solutions does not exist, and is not within the protection scope required by the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A photoelectric separation method for bauxite, characterized in that, Includes the following steps: S1. Set the operating parameters of the bauxite photoelectric separation system and start the bauxite photoelectric separation system. S2. The bauxite to be sorted is buffered on the feeding system. The bauxite to be sorted is transported to the transportation system through the feeding system. The transportation system performs differential separation on the bauxite to be sorted so that the bauxite to be sorted is evenly spread on the conveyor belt in the transportation system. S3. The bauxite to be sorted is photographed by the scanning detection system to obtain bauxite detection images. The industrial control computer in the scanning detection system detects the bauxite detection images based on the different reflectivity, transmittance and absorption characteristics of bauxite and the target object to be removed, and obtains the detection results. Then the scanning detection system transmits the detection results to the sorting execution system through digital signals. S4. The sorting execution system removes the target objects mixed in with the bauxite to be sorted based on the digital signal, and then inputs the bauxite after removing the target objects into the designated silo. S5, repeat S2 to S4 until all the bauxite to be sorted has been sorted by the bauxite photoelectric sorting system. S3 specifically includes the following steps: S31. The transport system transports the bauxite to be sorted to the area directly below the scanning detection system. The bauxite to be sorted exhibits different reflectivity, transmittance and absorption characteristics under the all-round illumination of multiple focused optical light sources in the scanning detection system. S32. The industrial camera CCD in the scanning and inspection system takes pictures of the bauxite to be sorted under the all-round illumination of multiple focused optical light sources, and obtains the bauxite inspection image. Then, the industrial camera CCD transmits the bauxite inspection image to the industrial control computer in the scanning and inspection system. The industrial control computer detects the bauxite inspection image based on the different reflectivity, transmittance and absorption characteristics of bauxite and the target object to be removed, and obtains the inspection result. S33. Then, the industrial control computer in the scanning detection system transmits the detection results to the sorting execution system via digital signals; S32 specifically includes the following steps: S321. The industrial camera CCD in the scanning and detection system takes pictures of the bauxite to be sorted under the all-round illumination of multiple focused optical light sources, and obtains the data image of the previous frame. The data image of the previous frame is the bauxite detection image of the previous frame. S322. Extract the data image of the current frame of bauxite to be sorted from the video captured by the industrial camera CCD in the scanning detection system to obtain the bauxite detection image of the current frame. S323: The image recognition and detection algorithm built into the industrial control computer stitches together the bauxite detection image of the previous frame and the bauxite detection image of the current frame to form a complete bauxite detection image. S324. The complete bauxite detection image obtained in S323 is binarized to convert the image into black and white, and then the connected components are searched. S325. Filter out the complete Blob region in the bauxite detection image of the current frame from the found connected components; S326. Analyze the selected Blob regions, including calculating their circumcenter position, texture features, and grayscale information; obtain the analysis results through analysis. S327. The image recognition and detection algorithm makes a classification decision based on the analysis results in S326, determines whether the area is ore, and outputs the detection results.

2. The photoelectric separation method for bauxite according to claim 1, characterized in that, S1 specifically includes the following steps: S11. Adjust the inclination of the vibrating platform inside the vibrating feeder in the bauxite photoelectric sorting system to a set angle, thereby adjusting the feeding speed of the bauxite to be sorted. S12. Then, start the feeding system, transportation system, scanning and detection system and sorting execution system respectively, and set the operating parameters of the four systems. At this point, the bauxite photoelectric sorting system is started normally.

3. The photoelectric separation method for bauxite according to claim 1, characterized in that, S2 specifically includes the following steps: S21. The bauxite to be sorted is buffered onto the feeding system, which flattens the uneven bauxite and then uniformly transports it to the transport system. S22. The bauxite to be sorted is separated by differential speed on multiple conveyor belts with different conveying speeds in the transportation system, so that each individual bauxite in the bauxite to be sorted is isolated, so as to ensure that the scanning detection system can scan and image each individual bauxite in the bauxite to be sorted.

4. The photoelectric separation method for bauxite according to claim 1, characterized in that, S4 specifically includes the following steps: S41. After receiving the digital signal sent by the industrial control computer in the scanning and detection system, the PLC in the sorting execution system converts the digital signal into an electrical signal that generates the separation action by the digital output module in the PLC. S42. The electrical signal of the separation action is transmitted to the power amplifier board, and the power amplifier board amplifies the electrical signal of the separation action. S43. The amplified electrical signal drives the opening and closing of the solenoid valve. The nozzle on the solenoid valve uses air at a set pressure to strike the target object to be rejected, thereby achieving the separation of the target object to be rejected during the sorting and transmission process. S44. The transportation system will input the bauxite after removing the target material into the designated silo.

5. A photoelectric sorting system for bauxite, characterized in that, The bauxite photoelectric separation method according to any one of claims 1 to 4 is used for separation, specifically including: The feeding system is used to buffer, level, and transfer the bauxite to be sorted; The transport system, connected to the feeding system, is used for differential separation of the bauxite to be sorted from the feeding system, so that each individual piece of bauxite to be sorted is isolated. The scanning and detection system, installed on the transportation system, is used to photograph and analyze the bauxite to be sorted, thereby obtaining the detection results; The sorting execution system, installed on the transportation system, is used to separate the target materials to be removed from the bauxite to be sorted by combining the digital signals corresponding to the detection results.

6. The bauxite photoelectric sorting system according to claim 5, characterized in that, The feeding system uses a vibrating feeder, and the tilt angle of the vibrating platform on the vibrating feeder is adjustable to adjust the falling speed of the bauxite to be sorted.

7. The bauxite photoelectric sorting system according to claim 5, characterized in that, The scanning detection system includes: Two sets of focused linear light sources are installed above the transport system and located on both sides of the transport system to ensure that the bauxite to be sorted on the transport system is irradiated from all directions. Multiple industrial CCD cameras are mounted above the transport system to photograph the bauxite to be sorted under the all-round illumination of two sets of focused optical light sources. The industrial control computer is electrically connected to multiple industrial camera CCDs. The industrial control computer has a built-in image recognition and detection algorithm for detecting and analyzing bauxite detection images obtained by the industrial camera CCDs.

8. The photoelectric sorting system for bauxite according to any one of claims 5 to 7, characterized in that, The sorting execution system is either a pneumatic valve separation system or a robotic arm sorting system. The air valve separation system includes a PLC, a power amplifier board, and an air valve separation mechanism; the PLC is electrically connected to the scanning and detection system, and the PLC, power amplifier board, and air valve separation mechanism are electrically connected in sequence.

Citation Information

Patent Citations

  • Online ore sorting machine based on visual identification technology

    CN103495566A

  • Laser material sorting device and method

    CN109692822A