Photoelectric separation method and system for bauxite

Abstract

The invention discloses a photoelectric separation method and system for bauxite. The method comprises the steps that S1, the photoelectric separation system for bauxite is started; s2, to-be-sorted bauxite is conveyed to a conveying system through a feeding system, and the to-be-sorted bauxite is evenly spread on a conveying belt through the conveying system; s3, to-be-sorted bauxite is photographed by the scanning detection system to obtain a bauxite detection image, the bauxite detection image is detected by an image recognition detection algorithm built in the industrial personal computer to obtain a detection result, and the scanning detection system converts the detection result into a digital signal; s4, the sorting execution system rejects to-be-rejected target objects mixed in the to-be-sorted bauxite according to the digital signals, and then the bauxite is input into a designated stock bin; and S5, the steps from S2 to S4 are circulated till all the bauxite to be sorted is sorted. An intelligent separation mode is adopted, accurate judgment of bauxite is achieved, existing manual rough control is replaced, and the beneficiation standard and beneficiation quality are stricter.

Description

Technical Field

[0001] The present invention relates to the technical field of mineral sorting, and in particular to a method and system for photoelectric sorting of bauxite. Background Art

[0002] At present, my country's mineral processing methods are still in a backward stage. From mining to mineral processing, the main processes include crushing, cleaning, manual roughing, grinding into powder, flotation and other processes. Among them, the costs of mining, crushing and cleaning are uncontrollable, but the manual roughing process can be industrialized through intelligent ore sorting technology, which can greatly reduce the cost of mineral processing. The stones collected from the mines include ore and waste rock. Generally, waste rock accounts for the majority, and ore and waste rock are distinguished by the grade of minerals they contain. High grade is ore, and low grade is waste rock. According to the geological origin of the ore, ore and waste rock have obvious differences in composition, texture, color and other characteristics. Therefore, the main purpose of manual roughing is to remove waste rock through color and texture information, commonly known as throwing away waste. However, the sorting of bauxite often relies on manual picking or simple mechanical operation, which is not only inefficient, but also has many problems in sorting accuracy and cost control. The three main shortcomings of manual sorting of bauxite include: 1. Low efficiency: Manual sorting is slow and cannot be compared with mechanized sorting, resulting in low production efficiency and unsuitable for large-scale ore processing. 2. Unstable sorting quality: Since manual sorting relies on the experience and judgment of workers, it is easily affected by individual differences, resulting in uneven sorting quality and instability. 3. High labor intensity: Manual sorting requires workers to perform repetitive physical labor, which is labor-intensive and easily causes worker fatigue and health problems. Summary of the invention

[0003] The present invention provides a method and system for photoelectric separation of bauxite to solve the technical problems mentioned in the background technology.

[0004] To achieve the above object, the technical solution of the present invention is achieved as follows:

[0005] The present invention provides a method for photoelectric separation of bauxite, comprising the following steps:

[0006] S1. Setting the operating parameters of the bauxite photoelectric sorting system and starting the bauxite photoelectric sorting system;

[0007] S2, buffering the bauxite to be sorted on the feeding system, conveying the bauxite to be sorted to the transportation system through the feeding system, and the transportation system performing differential separation on the bauxite to be sorted, so that the bauxite to be sorted is evenly spread on the conveyor belt of the transportation system;

[0008] S3, the bauxite to be sorted is photographed by the scanning detection system to obtain a bauxite detection image, and the industrial computer in the scanning detection system detects the bauxite detection image according to the different reflectivity, transmittance and absorption characteristics of the bauxite and the target to be removed to obtain the 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 from the bauxite to be sorted according to the digital signal, and then inputs the bauxite after the target objects are removed into the designated silo;

[0010] S5, loop S2 to S4 until all the bauxite to be sorted has been sorted by the bauxite photoelectric sorting system.

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

[0012] S11, adjusting the inclination of the vibration platform in the vibrating feeder in the bauxite photoelectric sorting system to a set angle, thereby adjusting the feeding speed of the bauxite to be sorted;

[0013] S12, then start the feeding system, transportation system, scanning detection system and sorting execution system respectively, and set the operating parameters of the four systems. At this point, the bauxite photoelectric sorting system starts normally.

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

[0015] S21, buffering the bauxite to be sorted on the feeding system, the feeding system flattens the uneven bauxite to be sorted, and then evenly transports it to the transportation system;

[0016] S22. The bauxite to be sorted is differentially separated on a plurality of conveyor belts with different conveying speeds in the transportation system, so that each individual bauxite to be sorted is individualized, so as to ensure that the scanning and detection system can scan and image each individual bauxite to be sorted.

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

[0018] S31, the transportation system transports the bauxite to be sorted to the bottom of the scanning detection system, and the bauxite to be sorted is irradiated in all directions by multiple focusing linear light sources in the scanning detection system, and exhibits different reflectivity, transmittance and absorption characteristics;

[0019] S32, the industrial camera CCD in the scanning detection system takes a picture of the bauxite to be sorted under the omnidirectional illumination of multiple focusing 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, transmittance and absorption characteristics of the bauxite and the target 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 digital signals.

[0021] Furthermore, the S32 specifically includes the following steps:

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

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

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

[0025] S324, performing binarization processing on the complete bauxite detection image obtained in S323, converting the image into black and white, and then finding the connected domain therein;

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

[0027] S326, analyzing the selected Blob area, the analysis objects include calculating the circumcenter position, texture features and grayscale information thereof; and obtaining the analysis result through the analysis;

[0028] S327, the image recognition detection algorithm makes a classification decision based on the analysis results in S326, determines whether the area is ore, and outputs the detection result.

[0029] Furthermore, the S4 specifically includes the following steps:

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

[0031] S42, transmitting the electrical signal of the separation action to the PLC, the PLC transmitting the electrical signal of the separation action to the power amplifier card, and the power amplifier card amplifies the electrical signal of the separation action;

[0032] S43, the power-amplified electrical signal drives the switch of the solenoid valve, and the nozzle on the solenoid valve hits the target object to be rejected with air of set pressure, thereby achieving separation of the target object to be rejected during the sorting and transmission process;

[0033] S44, the transportation system inputs the bauxite after the target objects are removed into the designated silo.

[0034] On the other hand, the present invention also provides a bauxite photoelectric sorting system, which specifically comprises:

[0035] Feeding system, used to buffer, level and transfer the bauxite to be sorted;

[0036] The transport system is connected to the feeding system and is used for differential separation of the bauxite to be sorted delivered by the feeding system, so that each individual of the bauxite to be sorted is individualized;

[0037] The scanning detection system is installed on the transport system to take pictures and analyze the bauxite to be sorted to obtain the detection results;

[0038] The sorting execution system is installed on the transportation system and is used to separate the target objects to be removed from the bauxite in combination with the digital signals corresponding to the detection results.

[0039] Furthermore, the feeding system uses a vibrating feeder, and the inclination angle of the vibrating platform on the vibrating feeder has an adjustment function to adjust the falling speed of the bauxite to be sorted.

[0040] Furthermore, the scanning detection system comprises:

[0041] Two sets of concentrated linear light sources are installed above the transport system and are located on both sides of the transport system, so that the bauxite to be sorted on the transport system can be illuminated in all directions;

[0042] Multiple industrial cameras CCD are installed above the transport system to take pictures of the bauxite to be sorted under the full illumination of two sets of focusing linear light sources;

[0043] The industrial computer is electrically connected to a plurality of industrial camera CCDs, and the industrial computer has a built-in image recognition detection algorithm for detecting and analyzing bauxite detection images obtained by taking photos of the industrial camera CCDs.

[0044] Furthermore, the sorting execution system uses a gas valve separation system or a robotic arm sorting system;

[0045] The gas valve separation system includes a PLC, a power amplifier board, and a gas valve separation mechanism; the PLC is electrically connected to the scanning detection system, and the PLC, the power amplifier board, and the gas valve separation mechanism are electrically connected in sequence.

[0046] Beneficial effects of the present invention:

[0047] 1. The present invention uses the bauxite photoelectric sorting system to automatically sort, realizes accurate judgment of bauxite, and replaces the existing manual sorting method. The bauxite photoelectric sorting system is more stringent in the mineral processing standards and mineral processing quality than manual sorting. And the evaluation standards are unified, there is no subjective fuzzy judgment, and the production quality is stable; in addition, it also reduces labor intensity and workers' wages.

[0048] 2. The present invention greatly improves the effect of waste disposal, improves the quality of bauxite sorting, reduces the workload of downstream processes for processing silicon dioxide, calcium carbonate, etc., and reduces production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 The overall structure diagram of the bauxite photoelectric separation system of the present invention;

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

[0051] Figure 3 Schematic diagram of a parallel pipeline detection solution in an embodiment of the present invention;

[0052] Figure 4 This is a comparison chart of the flow rates at the nozzle outlets of various types in the embodiments of the present invention. DETAILED DESCRIPTION

[0053] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Preferred embodiments of the present invention are provided in the drawings. However, the present invention can be implemented 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 understanding of the disclosure of the present invention more thorough and comprehensive.

[0054] It should be understood that the orientation or position relationship indicated by terms such as "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside" and "outside" are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0056] It should also be noted that, in the embodiments of the present application, the same figure mark is used to represent the same component or the same part. For the same parts in the embodiments of the present application, the figure may only mark one of the parts or components as an example. It should be understood that the figure mark also applies to other identical parts or components.

[0057] The present application provides a method for photoelectric separation of bauxite, 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, conveying the bauxite to be sorted to the transportation system through the feeding system, and the transportation system performing differential separation on the bauxite to be sorted, so that the bauxite to be sorted is evenly spread on the conveyor belt of the transportation system;

[0060] S3. The bauxite to be sorted is photographed by the scanning detection system to obtain a bauxite detection image. The image recognition detection algorithm built into the scanning detection system detects the bauxite detection image according to the different reflectivity, transmittance and absorption characteristics of the bauxite and the target to be removed, and obtains the detection result. 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 from the bauxite to be sorted according to the digital signal, and then inputs the bauxite after the target objects are removed into the designated silo;

[0062] S5, loop S2 to S4 until all the bauxite to be sorted has been sorted by the bauxite photoelectric sorting system.

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

[0064] Bauxite is an aluminum-containing mineral whose main component is aluminum oxide (Al2O3), and usually contains a certain amount of iron oxide, silicon dioxide and other impurities. 1. Reflection: Bauxite usually has a moderate reflectivity and its color ranges from white to dark brown. Bauxite with a high iron content may have a higher reflectivity. Non-bauxite waste and impurities may include a variety of minerals and rocks, and their reflectivity can vary greatly. For example, quartz sand has a high reflectivity, while mudstone or organic waste may have a low reflectivity. 2. Transmission: Most bauxites are opaque and have a low transmittance. Non-bauxite waste and impurities may be translucent, such as certain types of sand or transparent ore fragments, and their transmittance may be higher than that of bauxite. 3. Absorption: The absorption of light by bauxite is related to the iron content and impurities in the mineral, and usually presents a specific absorption spectrum. Non-bauxite waste and impurities may have different chemical compositions and colors, resulting in different light absorption characteristics from bauxite. For example, scrap containing copper may absorb blue-green light, while scrap containing iron may absorb blue light. Therefore, the technology can accurately pick out target minerals based on set optical parameters such as reflectivity, color, transparency, etc. This enables the bauxite photoelectric sorting system to efficiently remove impurities and improve 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 accuracy. The bauxite photoelectric sorting system has a high degree of automation, which reduces human errors and improves the consistency and stability of sorting.

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

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

[0067] S12, then start the feeding system, transportation system, scanning detection system and sorting execution system respectively, and set the operating parameters of the four systems. At this point, the bauxite photoelectric sorting system starts normally.

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

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

[0070] S22. The bauxite to be sorted is differentially separated on a plurality of conveyor belts with different conveying speeds in the transportation system, so that each individual bauxite to be sorted is individualized, so as to ensure that the scanning and detection system can scan and image each individual bauxite to be sorted.

[0071] For ease of understanding, the following example illustrates the process of differential separation:

[0072] There are multiple conveyor belts with different conveying speeds in the transportation system. If the first conveyor belt is faster and the second conveyor belt is slower, 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 belt until its speed drops to match the slow conveyor belt. On the contrary, 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 belt due to insufficient speed. This makes each individual in the bauxite to be sorted individualized, ensuring that the industrial camera CCD performs image processing on each individual.

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

[0074] S31, the transportation system transports the bauxite to be sorted to the bottom of the scanning detection system, and the bauxite to be sorted is irradiated in all directions by multiple focusing linear light sources in the scanning detection system, and exhibits different reflectivity, transmittance and absorption characteristics;

[0075] S32, the industrial camera CCD in the scanning detection system takes a picture of the bauxite to be sorted under the omnidirectional illumination of multiple focusing 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, transmittance and absorption characteristics of the bauxite and the target 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 digital signals.

[0077] The present invention adopts a parallel pipeline detection scheme, executes each frame of image in parallel, and runs evenly with the conveyor belt. The advantage is that the processing time of each frame of image is the time between the image being collected and being rejected by the sorting execution system, leaving sufficient time to analyze and process the image, and the processing time of a single frame of image is controlled at about 100ms. It can analyze the characteristics of color, shape, size, material, etc., which can greatly improve the detection rate and missed detection rate. The processing logic of the scanning detection system is as follows Figure 3 shown.

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

[0079] S321, the industrial camera CCD in the scanning detection system photographs the bauxite to be sorted under the omnidirectional illumination of multiple focusing linear light sources to obtain the data image of the previous frame, which is the bauxite detection image of the previous frame; this step is to obtain continuous image information in time series, which is helpful for subsequent analysis and processing;

[0080] S322, intercepting the data image of the current frame of the 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; this step is to obtain the latest image information so as to compare and analyze it with the bauxite detection image of the previous frame;

[0081] S323, the image recognition detection algorithm built into the industrial computer splices the bauxite detection image of the previous frame with 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 helps to improve the accuracy of recognition and analysis;

[0082] S324, binarizing the complete bauxite detection image obtained in S323, converting the image into black and white, and then finding the connected domain therein; the purpose of this step is to simplify the image, highlight the target area, and facilitate subsequent processing;

[0083] S325, selecting a complete Blob region in the bauxite detection image of the current frame from the found 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, analyzing the selected Blob area, the analysis objects include calculating the circumcenter position, texture features and grayscale information thereof; obtaining the analysis result through the analysis; the purpose of this step is to obtain the feature information of the target area for subsequent classification decision;

[0085] S327, the image recognition detection algorithm makes a classification decision based on the analysis results in S326, determines whether the area is ore, and outputs the detection result.

[0086] The entire S32 process is designed to automatically identify and distinguish ore areas in an image by processing and analyzing the image. Through this series of steps, the scanning detection system can efficiently identify and analyze ore, improving the accuracy and efficiency of ore sorting.

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

[0088] S41, the PLC in the sorting execution system is electrically connected to 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 output module in the PLC converts the digital signal into an electrical signal of separation action that can be understood by the external device according to the result of the logic program; this electrical signal is usually a switch signal, which can be a high level (such as 24 volts direct current, V DC) or a low level (0 volts);

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

[0090] S43, the power-amplified electrical signal drives the switch of the solenoid valve, and the nozzle on the solenoid valve hits the target object to be rejected with air of set pressure, thereby achieving separation of the target object to be rejected during the sorting and transmission process;

[0091] S44, the transportation system inputs the bauxite after the target objects are removed into the designated silo.

[0092] Reference Figure 1 On the other hand, the present invention also provides a bauxite photoelectric sorting system, which uses the above bauxite photoelectric sorting method to sort bauxite, specifically comprising:

[0093] Feeding system, used to buffer, level and transfer the bauxite to be sorted;

[0094] The transport system is connected to the feeding system and is used for differential separation of the bauxite to be sorted delivered by the feeding system, so that each individual of the bauxite to be sorted is individualized;

[0095] The scanning detection system is installed on the transport system to take pictures and analyze the bauxite to be sorted to obtain the detection results;

[0096] The sorting execution system is set up on the transportation system and is used to separate the target objects to be removed from the bauxite to be sorted in combination with the digital signals corresponding to the detection results.

[0097] The bauxite photoelectric sorting system of the present invention consists of four parts: a feeding system, a transportation system, a scanning detection system, and a sorting execution system. The bauxite to be sorted is evenly and neatly spread on the conveyor belt of the transportation system through the feeding system, and then transported to the bottom of the industrial camera CCD by the high-speed conveyor belt in the transportation system. The industrial camera CCD captures real-time images to obtain bauxite detection images, which are transmitted to the industrial computer. The built-in image recognition detection algorithm of the industrial computer calculates and analyzes the bauxite detection image to determine whether there are target objects to be eliminated, and finally feeds back to the PLC, and the sorting execution system removes the target objects to be eliminated that are mixed in the bauxite. The structure and working principle of the bauxite photoelectric sorting system are as follows: Figure 1 shown.

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

[0099] In some embodiments, the conveyor belt on the transport system adopts a wear-resistant, corrosion-resistant and durable mine-specific belt to ensure long-term stable use. The power mechanism of the conveyor belt in the transport system is a frequency converter and a reducer, which are connected by transmission. The frequency converter and the reducer have a high tolerance to power fluctuations and a stable operating speed, which is not affected by the fall and quantity of ore.

[0100] In some embodiments, the multiple belts in the transportation system correspond to multiple different functional areas, namely, the vibrating feeder dropping area, the ore conveying area, the optical detection area, and the mine waste separation area; the feeding system and the transportation system realize the material handover in the vibrating feeder dropping area; the transportation system performs differential separation on the bauxite to be sorted in the ore conveying area; the scanning detection system performs detection and analysis on the bauxite to be sorted in the optical detection area, and the sorting execution system separates the target objects to be removed that are mixed in the bauxite to be sorted in the mine waste separation area.

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

[0102] Two sets of focusing linear light sources are installed above the transport system and located on both sides of the transport system, so that the bauxite to be sorted on the transport system can be illuminated in all directions; the function of the two sets of focusing linear light sources is to provide uniform and strong light, illuminate the detection area and highlight the details and features of each individual surface of the bauxite to be sorted, reduce shadows and reflections, improve image quality, and facilitate industrial camera CCD capture and processing.

[0103] Multiple industrial cameras CCD are installed above the transport system to take pictures of the bauxite to be sorted under the full illumination of two sets of focusing linear light sources;

[0104] The industrial computer is electrically connected to a plurality of industrial camera CCDs, and the industrial computer has a built-in image recognition detection algorithm for detecting and analyzing bauxite detection images obtained by taking photos of the industrial camera CCDs.

[0105] In some embodiments, the sorting execution system uses a gas valve separation system or a robotic arm sorting system;

[0106] The gas valve separation system includes a PLC, a power amplifier board, and a gas valve separation mechanism; the PLC is electrically connected to the scanning detection system, and the PLC, the power amplifier board, and the gas valve separation mechanism are electrically connected in sequence.

[0107] In some embodiments, the sorting execution system further includes a conveyor belt frequency conversion control system, which is used to control the transport speed of the transport system so as to facilitate the separation of the target objects to be rejected by the air valve separation mechanism.

[0108] The air valve separation mechanism is equipped with a nozzle, which is one of the core components of the air valve separation mechanism. In a very short time, a strong airflow is ejected through the nozzle to knock the target object away, thereby giving the target an upward propulsion force to change its falling trajectory, so that the target object performs an oblique throwing motion and falls into the material bin at the far end, while the material that is not ejected (i.e. bauxite) performs a horizontal throwing motion and falls into the material bin at the near end, ultimately achieving the purpose of separating bauxite from the target to be removed.

[0109] In the process of material separation, the strong airflow impact of the nozzle is the key to achieve accurate and effective separation of materials, and the structure of the nozzle is closely related to the characteristics of the strong airflow it produces. Therefore, in order to achieve better separation accuracy and efficiency, based on the theory of fluid mechanics and aerodynamics, the three commonly used structural types of circular tube nozzles, concentrated nozzles, and flat-contracted nozzles were analyzed and compared with the help of ANSYS Fluent. The nozzle outlet flow rates of the three structures were compared, and the following results were obtained: Figure 4 The results shown are from Figure 4 It can be seen that the round tube nozzle structure is the most suitable.

[0110] The present invention uses the bauxite photoelectric sorting system to automatically sort, which has a high degree of intelligence and automation, realizes accurate judgment of bauxite, and replaces the existing manual sorting method. The bauxite photoelectric sorting system is more stringent in the mineral processing standards and mineral processing quality than manual sorting. The evaluation standards are unified, there is no subjective fuzzy judgment, and the production quality is stable; in addition, the labor intensity is reduced and the wages of workers are reduced.

[0111] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered within the protection scope of the present invention. In addition, the technical solutions between the various embodiments of the present invention can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for photoelectric separation of bauxite, characterized in that: The steps include: S1. Setting the operating parameters of the bauxite photoelectric sorting system and starting the bauxite photoelectric sorting system; S2, buffering the bauxite to be sorted on the feeding system, conveying the bauxite to be sorted to the transportation system through the feeding system, and the transportation system performing 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 a bauxite detection image, and the industrial computer in the scanning detection system detects the bauxite detection image according to the different reflectivity, transmittance and absorption characteristics between the bauxite and the target to be removed to obtain the detection result, and then the scanning detection system transmits the detection result to the sorting execution system through a digital signal; S4, the sorting execution system removes the target objects to be removed from the bauxite to be sorted according to the digital signal, and then inputs the bauxite after the target objects are removed into the designated silo; S5, loop S2 to S4 until all the bauxite to be sorted has been sorted by the bauxite photoelectric sorting system.

2. The method for photoelectric separation of bauxite according to claim 1, characterized in that: The S1 specifically includes the following steps: S11, adjusting the inclination of the vibration platform in 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 detection system and sorting execution system respectively, and set the operating parameters of the four systems. At this point, the bauxite photoelectric sorting system starts normally.

3. The method for photoelectric separation of bauxite according to claim 1, characterized in that: The S2 specifically includes the following steps: S21, buffering the bauxite to be sorted on the feeding system, the feeding system flattens the uneven bauxite to be sorted, and then evenly transports it to the transportation system; S22. The bauxite to be sorted is differentially separated on a plurality of conveyor belts with different conveying speeds in the transportation system, so that each individual bauxite to be sorted is individualized, so as to ensure that the scanning and detection system can scan and image each individual bauxite to be sorted.

4. The method for photoelectric separation of bauxite according to claim 1, characterized in that: The S3 specifically includes the following steps: S31, the transportation system transports the bauxite to be sorted to the bottom of the scanning detection system, and the bauxite to be sorted is irradiated in all directions by multiple focusing linear light sources in the scanning detection system, and exhibits different reflectivity, transmittance and absorption characteristics; S32, the industrial camera CCD in the scanning detection system takes a picture of the bauxite to be sorted under the omnidirectional illumination of multiple focusing 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, transmittance and absorption characteristics of the bauxite and the target to be removed to obtain a detection result; S33, then the industrial computer in the scanning detection system transmits the detection result to the sorting execution system through digital signals.

5. The method for photoelectric separation of bauxite according to claim 4, characterized in that: The S32 specifically includes the following steps: S321, the industrial camera CCD in the scanning detection system photographs the bauxite to be sorted under the omnidirectional illumination of multiple focusing linear light sources to obtain a data image of the previous frame, which is the bauxite detection image of the previous frame; S322, intercepting a data image of a current frame of the bauxite to be sorted from a video captured by an industrial camera CCD in a scanning detection system to obtain a bauxite detection image of the current frame; S323, the image recognition detection algorithm built into the industrial computer splices the bauxite detection image of the previous frame with the bauxite detection image of the current frame to form a complete bauxite detection image; S324, performing binarization processing on the complete bauxite detection image obtained in S323, converting the image into black and white, and then finding the connected domain therein; S325, filtering out a complete Blob region in the bauxite detection image of the current frame from the found connected domain; S326, analyzing the selected Blob area, the analysis objects include calculating the circumcenter position, texture features and grayscale information thereof; and obtaining the analysis result through the analysis; S327, the image recognition detection algorithm makes a classification decision based on the analysis results in S326, determines whether the area is ore, and outputs the detection result.

6. The method for photoelectric separation of bauxite according to claim 4, characterized in that: The S4 specifically includes the following steps: S41, after the PLC in the sorting execution system receives the digital signal sent by the industrial computer in the scanning detection system, the digital output module in the PLC converts the digital signal into an electrical signal that generates a separation action; S42, the electrical signal of the separation action is transmitted to the power amplifier card, and the power amplifier card amplifies the electrical signal of the separation action; S43, the power-amplified electrical signal drives the switch of the solenoid valve, and the nozzle on the solenoid valve hits the target object to be rejected with air of set pressure, thereby achieving separation of the target object to be rejected during the sorting and transmission process; S44, the transportation system inputs the bauxite after the target objects are removed into the designated silo.

7. A bauxite photoelectric sorting system, characterized in that: The bauxite photoelectric separation method according to any one of claims 1 to 6 is used for separation, specifically comprising: Feeding system, used to buffer, level and transfer the bauxite to be sorted; The transport system is connected to the feeding system and is used for differential separation of the bauxite to be sorted delivered by the feeding system, so that each individual of the bauxite to be sorted is individualized; The scanning detection system is installed on the transport system to take pictures and analyze the bauxite to be sorted to obtain the detection results; The sorting execution system is set up on the transportation system and is used to separate the target objects to be removed from the bauxite to be sorted in combination with the digital signals corresponding to the detection results.

8. The bauxite photoelectric separation system according to claim 7, characterized in that: The feeding system uses a vibrating feeder, and the inclination angle of the vibrating platform on the vibrating feeder has an adjustment function to adjust the falling speed of the bauxite to be sorted.

9. The bauxite photoelectric separation system according to claim 7, characterized in that: The scanning detection system comprises: Two sets of concentrated linear light sources are installed above the transport system and are located on both sides of the transport system, so that the bauxite to be sorted on the transport system can be illuminated in all directions; Multiple industrial cameras CCD are installed above the transport system to take pictures of the bauxite to be sorted under the full illumination of two sets of focusing linear light sources; The industrial computer is electrically connected to a plurality of industrial camera CCDs, and the industrial computer has a built-in image recognition detection algorithm for detecting and analyzing bauxite detection images obtained by taking photos of the industrial camera CCDs.

10. The bauxite photoelectric separation system according to any one of claims 7 to 9, characterized in that: The sorting execution system uses a gas valve separation system or a robotic arm sorting system; The gas valve separation system includes a PLC, a power amplifier board, and a gas valve separation mechanism; the PLC is electrically connected to the scanning detection system, and the PLC, the power amplifier board, and the gas valve separation mechanism are electrically connected in sequence.

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