Intelligent screening device and method for waste glass

Abstract

In order to solve the problem of intelligent screening of colors of waste glass, the invention designs an intelligent screening device for waste glass, and the device is sequentially provided with an electromagnetic vibration feeder, a chute, a light source, an image acquisition and recognition device, a pneumatic injection device and a glass classification storage device from an input end to an output end. According to the method, the colors of the waste glass particles are collected, the colors of the waste glass particles are recognized through an image recognition and processing algorithm, and then the waste glass is classified and screened by controlling a pneumatic injection device according to the recognition result. The intelligent waste glass color screening system which is convenient, rapid and high in screening precision is provided for waste glass color screening.

Description

Technical Field

[0001] The invention relates to an intelligent screening control system for waste glass, which is mainly used for screening waste glass by intelligently identifying and screening it according to its color and particle size, and belongs to glass screening technology in the fields of waste glass crushing and remanufacturing. Background Art

[0002] At present, in domestic waste glass recycling enterprises, the waste glass classification and sorting technology is relatively backward, the waste glass screening automation level is generally low, and there is a shortage of automated sorting equipment. At present, the waste glass is roughly screened within a limited range according to the size of the broken glass, and then the impurities and colors are selected manually. The screening process is not only slow and inefficient, but also has the disadvantages of false detection and missed detection. The purpose of the present invention is to design a waste glass intelligent screening system, which can quickly and accurately screen the waste glass according to the physical property differences such as size, color and other impurities, so as to improve the screening accuracy, improve the screening efficiency and reduce the labor intensity of workers. Summary of the invention

[0003] The present invention is to solve the problem of intelligent screening of waste glass colors, and to provide a waste glass color intelligent screening device and method that are convenient, fast and highly accurate.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is: As a first aspect, the present invention provides an intelligent waste glass screening device, which is configured from the input end to the output end in sequence as follows: an electromagnetic vibrating feeder, a chute, a light source, an image acquisition and recognition device, a pneumatic blowing device, and a glass classification storage device. Among them: Glass particles enter the chute through an electromagnetic vibrating feeder to form a single-particle linear flow. After the light source irradiates the glass particles at the end of the chute, the image acquisition and recognition device collects the color information of the glass particles for classification. Finally, the pneumatic blowing device selects glass particles of different colors into different glass classification storage devices.

[0005] In combination with the above scheme, one of the preferred embodiments in any of the above situations is: the electromagnetic vibration feeder is an electromagnetic vibration feeder with controllable half-wave rectification excitation, which is composed of an open electromagnetic exciter and a vibration isolation device, and the frequency ratio is designed to be 4~10Hz, and the ratio of the operating frequency to the natural frequency of the main vibration system is designed to be 0.85~0.95.

[0006] In combination with the above scheme, in any case, one of them is preferably: the chute can be a single chute, a double chute, or a plurality of chute, and the geometric size and installation position of the chute can be freely adjusted.

[0007] In combination with the above scheme, in any case, one of them is preferably: the image acquisition and recognition device includes a light source, an image acquisition device, a color recognition device, a base color background plate and a post-processing circuit.

[0008] In combination with the above scheme, in any case one of them is preferably: the color recognition device includes at least one photoelectric collection device, a microprocessor, a computer, and a human-computer interaction device; wherein the photoelectric collection device, the human-computer interaction device, and the computer all establish a data connection with the microprocessor through a data serial port.

[0009] In combination with the above scheme, in any case one of them is preferably: the photoelectric collection device includes: a photoelectric sensor, a preamplifier, a filter, a digital signal processor, and a solenoid valve, which are sequentially arranged according to the data transmission process as: a photoelectric sensor, a preamplifier, a filter, and a digital signal processor, and a data connection is established according to the data transmission process; the solenoid valve establishes a signal connection with the digital signal processor separately.

[0010] As a second aspect, the present invention discloses a method for intelligent screening of waste glass, which is implemented by the above-mentioned intelligent screening device for waste glass, and the method steps are as follows: Step 1, crushing the glass to form glass particles, and then conveying the glass particles to a chute through an electromagnetic vibrator, where the glass particles form a single particle linear flow state with a preset rate and preset specifications; Step 2, under the irradiation of a highly stable light source, the glass particles are sensed by an image acquisition and recognition device, and the image or spectrum data thereof is collected and stored as the color information of the target glass particles, and the color of the target glass particles is marked according to the color information; Step 3: According to the color marking information, the pneumatic blowing device is controlled to classify and screen the glass particles into different glass classification storages.

[0011] In combination with the above scheme, in any case, one of them is preferably: the step 2 is: Step 2.1, input the expected values ​​of the quality and output of the sorted glass particles; Step 2.2, determine whether there are preset color sorting parameters, if not, adjust the settings, if yes, adjust the color sorting parameters to the preset values; Step 2.3, the color information of the glass particles is reflected to the image acquisition and recognition device through a highly stable light source, and the color information is sampled and marked through the color selection parameters.

[0012] In combination with the above scheme, in any case, one of them is preferably: the step 3 is: Step 3.1, according to the color information marked on each glass particle, the control parameters of the pneumatic blowing device are retrieved; Step 3.2, controlling the opening and air pressure of the pneumatic blowing device according to the control parameters of the pneumatic blowing device, and classifying and screening the glass particles of different colors into different glass classification storages.

[0013] As a third aspect, the present invention discloses a data processing device, which includes a central processing unit, a readable memory, and a data bus. The central processing unit is data-connected to the readable memory via the data bus. The central processing unit controls the readable memory according to operating instructions, thereby executing any one of the above-mentioned intelligent screening methods for waste glass.

[0014] Beneficial Effects of the Invention Through photoelectric detection technology and high-speed industrial image acquisition cards, particles of different colors in granular glass can be automatically separated, greatly improving the sorting efficiency.

[0015] By separating glass particles based on their different reflectivity under light, glass particles of different colors can be accurately distinguished to meet higher production requirements.

[0016] Compared with the traditional manual screening method, it has a high degree of automation, which improves the working environment and reduces labor intensity. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0018] Figure 1 It is a structural schematic diagram of the device of the present invention; Figure 2 It is a schematic diagram of the system composition of the present invention; Figure 3 It is the hardware principle diagram of the color recognition device of the present invention; Figure 4 It is a flow chart of the color recognition and screening software design of the present invention; Figure 5 is to obtain the color flow chart; Figure 6 It is the screening and storage control logic diagram of the present invention; Figure 7 It is the control flow chart of the upper control circuit of color recognition.

[0019] Figure markings: 10 - feed hopper, 11 - electromagnetic vibration feeder, 12 - chute, 13 - light source, 14 - image acquisition device, 15 - color recognition device, 16 - base color background plate, 17 - pneumatic blowing device, 18 - glass classification storage. DETAILED DESCRIPTION

[0020] The above contents of the present invention are further described in detail below through examples, but this should not be understood as the scope of the above subject matter of the present invention being limited to the following examples, and all technologies implemented based on the above contents of the present invention belong to the scope of the present invention.

[0021] Embodiment 1, as Figure 1 and Figure 2 As shown, the present invention discloses an intelligent screening device for waste glass, which is arranged from the input end to the output end in sequence: an electromagnetic vibrating feeder 11, a chute 12, a light source 13, an image acquisition and recognition device, a pneumatic nozzle 17, and a glass classification storage 18. The image acquisition and recognition device includes a light source 13, an image acquisition device 14, a color recognition device 15, a base color background plate 16, and a post-processing circuit.

[0022] According to the above technical scheme, the main function of the device of the present invention is to slide the waste glass and other granular materials to be sorted down along the feed hopper 10, the electromagnetic vibration feeder 11, and the chute 12 to the waste glass color recognition device 15, and the sliding movement state of the granular materials remains relatively stable, ensuring that the waste glass particles can be well scanned and monitored one by one when passing through the observation area of ​​the image acquisition device 14.

[0023] The feed hopper 10 of the present invention is the entrance of the particulate material, and the waste glass particles are transported to the electromagnetic vibration feeder 11 through the feed hopper 10. The electromagnetic vibration feeder 11 is the core component of the feeding system, and is designed as an electromagnetic vibration feeder 11 with controllable half-wave rectification excitation, mainly composed of an open electromagnetic exciter and a vibration isolation system, and the frequency ratio is designed to be 4-10Hz, and the ratio of the working frequency to the natural frequency of the main vibration system is generally designed to be 0.85-0.95. Its advantages are that the main vibration system works in a low critical near-resonance state, consumes less power, has a simple structure, has no rotating parts, is light in weight, has a small size, can conveniently and steplessly adjust the feeding amount, and is easy to control automatically.

[0024] The chute 12 is designed to have a single chute, double chute, multiple chute, dozens or hundreds of chute according to the amount of waste glass to be screened, and the chute with more chute numbers can be grouped. The geometric size and installation position of the chute 12 are adjusted according to the particle size of the waste glass to be screened.

[0025] like Figure 3As shown, the color recognition device includes at least one photoelectric collection device, a microprocessor, a computer, and a human-computer interaction device; wherein the photoelectric collection device, the human-computer interaction device, and the computer all establish data connection with the microprocessor through a data serial port.

[0026] The photoelectric collection device includes: a photoelectric sensor, a preamplifier, a filter, a digital signal processor, and a solenoid valve, which are arranged in sequence according to the data transmission process: a photoelectric sensor, a preamplifier, a filter, and a digital signal processor, and a data connection is established according to the data transmission process; the solenoid valve establishes a signal connection with the digital signal processor separately.

[0027] The waste glass color recognition device 15 is a key part of the color sorting system. Its function is to collect images and recognize colors of materials, and provide accurate material color information for the sorting system. The waste glass color recognition device 15 is composed of a light source 13, an image acquisition device 14, a base color background plate 16 and a post-processing circuit.

[0028] First, high-resolution sensors (such as industrial high-speed cameras) are used to sense glass particles and collect their images or spectral data under light. These sensors or cameras can capture the color information of glass particles under specific light sources. The collected image data is then sent to the color recognition system, which uses complex image processing algorithms to extract color information or spectral features in the image, analyze and compare them. These algorithms can identify color differences in glass particles and classify them accordingly.

[0029] Based on pre-set standards or parameters, the detected glass particles are classified into different colors. Subsequently, the glass particles of different colors are removed or directed to different glass classification storages through a pneumatic blowing device.

[0030] In the whole process, the light source plays a vital role. It can provide stable and uniform lighting, so that the color characteristics of the glass particles can be clearly displayed. At the same time, spectroscopic technology can be used to separate the light into different wavelengths to further improve the accuracy of color recognition.

[0031] Embodiment 2, the present invention discloses a method for intelligent screening of waste glass, the method steps are as follows: Step 1, crushing the glass for pre-treatment to form glass particles, and then conveying the glass particles to a chute through an electromagnetic vibrator, where the glass particles form a single particle linear flow state with a preset rate and preset specifications.

[0032] Step 2: Under the irradiation of a highly stable light source, the glass particles are sensed by an image acquisition and recognition device, and their images or spectrum data are collected and stored as the color information of the target glass particles, and the target glass particles are color-labeled according to the color information. Step 2.1, input the expected values ​​of the quality and output of the sorted glass particles; Step 2.2, determine whether there are preset color sorting parameters, if not, adjust the settings, if yes, adjust the color sorting parameters to the preset values; Step 2.3, the color information of the glass particles is reflected to the image acquisition and recognition device through a highly stable light source, and the color information is sampled and marked through the color selection parameters.

[0033] Step 3: According to the color marking information, control the pneumatic nozzle to classify and screen the glass particles into different glass classification storages. Step 3.1, according to the color information marked on each glass particle, the pneumatic nozzle control parameters are retrieved; Step 3.2, controlling the opening and air pressure of the pneumatic nozzle according to the pneumatic nozzle control parameters, and classifying and screening the glass particles of different colors into different glass classification storages.

[0034] like Figure 6 As shown, the control logic of the waste glass particle screening and storage of the present invention is: when the waste glass particles enter the chute 12 for automatic transportation, the image acquisition device 14 completes the color information collection of the waste glass particles. After the color category of the waste glass particles is determined, when they run to the corresponding position, the motor on the glass classification storage is controlled to move, so that the waste glass particles in the box are blown into the inner tank of the corresponding type of the glass classification storage 18 through the pneumatic blowing device 17; every time the waste glass falls into the corresponding inner tank of the glass classification storage 18, the sensor set at the bottom of the glass classification storage is controlled to detect the remaining capacity in the barrel, and upload it to the upper control circuit through the serial port.

[0035] like Figure 5 As shown, the process of obtaining color of the present invention is as follows: (1) number each glass classification storage 18 respectively; (2) send a start signal to the corresponding serial port so that the color recognition device 15 executes an action; (3) further process the received sensor signal and judge the color according to a preset algorithm; (4) package the data after this processing and send it to the upper control circuit through the serial port; (5) repeat steps (2) to (4) until the glass particle color data of each glass classification storage 18 is extracted and all the data is uploaded, at which time the color recognition program is completed.

[0036] like Figure 7As shown, the upper control circuit is mainly responsible for collecting signals from the lower control circuit to make decisions, communicating with the host computer, processing signals from weighing sensors, Hall sensors, etc., and starting and stopping the motors of the delivery port and distribution device.

[0037] The color recognition upper-layer control process of the present invention is as follows: (1) program initialization and serial port initialization; (2) setting a preset box as the initial box; (3) interacting with the lower-layer control circuit board through the serial port to judge and compare the collected signals; (4) step ①: before the delivery port is opened, the motor of the distribution device is controlled to start and stop by processing the Hall sensor signal to operate the preset initial glass classification storage device to be flush with the delivery port; step ②: the motor at the delivery port is operated, the baffle is opened, and the distribution device is controlled to rotate according to the delay or the signal sent by the upper computer. Repeat the action until the collection action is completed; Step ③: The motor at the delivery port starts to run, the baffle is closed, and the motor of the distribution device drives the initial glass classification storage to run to the initial position, and then the classification action starts. After the glass classification storage runs to the top of the corresponding inner tank, the lower control circuit controls the motor on the glass classification storage 18 to run. After the waste glass particles fall in, the lower control circuit packages the volume parameters and sends them to the upper control circuit, and transmits them to the host computer for display; Step ④: Calculate the remaining volume and total mass in each glass classification storage 18, and upload them to the host computer.

[0038] It should be understood that the above embodiments are only used to illustrate the present invention and are not used to limit the scope of the present invention. In addition, it should be understood that after reading the content of the present invention, those skilled in the art can make various changes and modifications to the present invention, and these equivalent forms also fall within the scope limited by the appended claims of the present application.

Claims

1. An intelligent screening device for waste glass, characterized in that: The device is configured from the input end to the output end in sequence as follows: an electromagnetic vibrating feeder, a chute, a light source, an image acquisition and recognition device, a pneumatic blowing device, and a glass classification storage device; wherein: Glass particles enter the chute through an electromagnetic vibrating feeder to form a single particle linear flow. After the light source illuminates the glass particles at the end of the chute, the image acquisition and recognition device collects the color information of the glass particles for classification. Finally, the pneumatic blowing device is used to screen the glass particles of different colors into different glass classification storage devices.

2. The intelligent screening device for waste glass according to claim 1, characterized in that: The electromagnetic vibrating feeder is a controllable half-wave rectifier excitation electromagnetic vibrating feeder, which consists of an open electromagnetic exciter and a vibration isolation device. The frequency ratio is designed to be 4-10 Hz, and the ratio of the operating frequency to the natural frequency of the main vibration system is designed to be 0.85-0.

95.

3. The intelligent screening device for waste glass according to claim 1, characterized in that: The chute can be single-trough, double-trough or multi-trough, and the geometric size and installation position of the chute can be freely adjusted.

4. The intelligent screening device for waste glass according to claim 1, characterized in that: The image acquisition and recognition device comprises a light source, an image acquisition device, a color recognition device, a base color background plate and a post-processing circuit.

5. The intelligent screening device for waste glass according to claim 4, characterized in that: The color recognition device includes at least one photoelectric collection device, a microprocessor, a computer, and a human-computer interaction device; wherein the photoelectric collection device, the human-computer interaction device, and the computer all establish data connection with the microprocessor through a data serial port.

6. The intelligent screening device for waste glass according to claim 5, characterized in that: The photoelectric collection device includes: a photoelectric sensor, a preamplifier, a filter, a digital signal processor, and a solenoid valve, which are arranged in sequence according to the data transmission process: a photoelectric sensor, a preamplifier, a filter, and a digital signal processor, and a data connection is established according to the data transmission process; the solenoid valve establishes a signal connection with the digital signal processor separately.

7. A method for intelligent screening of waste glass, characterized in that: The method is implemented by an intelligent screening device for waste glass as described in any one of claims 1 to 6, and the method steps are as follows: Step 1, crushing the glass to form glass particles, and then conveying the glass particles to a chute through an electromagnetic vibrator, where the glass particles form a single particle linear flow state with a preset rate and preset specifications; Step 2, under the irradiation of a highly stable light source, the glass particles are sensed by an image acquisition and recognition device, and the image or spectrum data thereof is collected and stored as the color information of the target glass particles, and the color of the target glass particles is marked according to the color information; Step 3: According to the color marking information, the pneumatic blowing device is controlled to classify and screen the glass particles into different glass classification storages.

8. The method for intelligent screening of waste glass according to claim 7, characterized in that: The step 2 is: Step 2.1, input the expected values ​​of the quality and output of the sorted glass particles; Step 2.2, determine whether there are preset color sorting parameters, if not, adjust the settings, if yes, adjust the color sorting parameters to the preset values; Step 2.3, the color information of the glass particles is reflected to the image acquisition and recognition device through a highly stable light source, and the color information is sampled and marked through the color selection parameters.

9. The method for intelligent screening of waste glass according to claim 8, characterized in that: The step 3 is: Step 3.1, according to the color information marked on each glass particle, the control parameters of the pneumatic blowing device are retrieved; Step 3.2, controlling the opening and air pressure of the pneumatic blowing device according to the control parameters of the pneumatic blowing device, and classifying and screening the glass particles of different colors into different glass classification storages.

10. A data processing device, comprising a central processing unit, a readable memory, and a data bus, characterized in that: The central processing unit is data-connected to the readable memory via a data bus, and the central processing unit controls the readable memory according to operation instructions, thereby executing the method described in any one of claims 7 to 9.

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