Control system for refrigerator crushing and sorting

Abstract

The invention provides a control system for refrigerator crushing and sorting. The control system comprises an information collecting unit, an information processing and analyzing unit, a material crushing unit and a material sorting unit. Wherein the information acquisition unit comprises an image acquisition module and a weight acquisition module and is used for acquiring images and weight information of waste refrigerators; the information acquisition unit is mounted in front of a crushing inlet of the waste refrigerator and is used for integrally detecting the waste refrigerator; the material sorting unit is arranged behind the material crushing unit and is used for sorting the crushed materials; the information processing and analyzing unit is electrically connected with the information collecting unit and the material sorting unit, machine learning is carried out on the collected image data of the waste refrigerator, the waste refrigerator is divided into a metal part and a non-metal part, then the weight data and the image data are combined, and material sorting of a follow-up material sorting system is controlled.

Description

Technical Field

[0001] The invention belongs to the field of sorting control, and in particular relates to a control system for refrigerator crushing and sorting. Background Art

[0002] Currently, refrigerator crushing and sorting control systems are key technologies in the field of modern appliance recycling and resource reuse. Their core goal is to efficiently crush and sort materials such as metals, plastics, and foam from used refrigerators, enabling resource recycling and environmental protection. With the increasing global emphasis on environmental protection and resource reuse, the demand for refrigerator crushing and sorting technology is also growing. However, despite significant advances in this technology over the past few decades, existing control systems still have numerous shortcomings in rate control. These shortcomings severely restrict sorting efficiency, resource recovery rates, and overall system performance.

[0003] Existing refrigerator crushing and sorting control systems generally lack dynamic adaptability in rate regulation. Traditional control systems typically use fixed rate parameters for regulation, and are unable to adjust in real time to changes in material type, size, density, and other factors during the actual sorting process. For example, when the material after refrigerator crushing contains a large amount of metal, the system requires a higher crushing rate to ensure the effective separation of the metal material. However, when the material is primarily plastic, an excessively high crushing rate may result in plastic particles that are too small, increasing the difficulty of subsequent sorting. However, existing systems often fail to automatically adjust the rate based on changes in material properties, resulting in low sorting efficiency and even material blockages or equipment overloads.

[0004] Existing technologies have obvious deficiencies in the accuracy and response speed of rate control. The refrigerator crushing and sorting process is a highly dynamic system, and the flow rate, distribution state, and sorting effect of materials in the crushing and sorting equipment will change over time. However, traditional control systems usually rely on simple feedback mechanisms and cannot respond quickly to small changes in the system. For example, when the material flow suddenly increases, it may take the system several seconds or even longer to adjust the crushing rate, which may cause equipment overload or reduced sorting effect during this period. In addition, the rate control accuracy of existing systems is low, making it difficult to achieve refined sorting control, especially when processing mixed materials, which can easily lead to incomplete separation of metal and plastic.

[0005] Existing refrigerator crushing and sorting control systems perform poorly in optimizing energy consumption. Rate control not only affects sorting efficiency but also directly impacts the system's energy consumption. Traditional control systems typically operate at a fixed rate and are unable to dynamically adjust energy consumption based on actual demand. For example, when material flow is low, the system continues to operate at high power, resulting in energy waste. Meanwhile, when material flow is high, the system may be unable to meet sorting requirements due to insufficient rate control, further increasing energy consumption. This inefficient energy management not only increases operating costs but also conflicts with the goal of environmental sustainability.

[0006] Existing technologies also have significant shortcomings in terms of intelligence. With the rapid development of artificial intelligence and the Internet of Things (IoT), intelligence has become a key development direction for industrial control systems. However, existing refrigerator crushing and sorting control systems are mostly stuck in traditional automation, lacking the application of advanced technologies such as big data analysis and machine learning. For example, the system is unable to predict material flow trends based on historical data, nor can it automatically optimize rate control strategies based on sorting results. This lack of intelligence limits the overall performance of the system and results in poor performance under complex and changing real-world operating conditions.

[0007] Existing refrigerator crushing and sorting control systems also face reliability and maintenance cost issues. Due to insufficient rate control, the system is prone to failures such as equipment wear and material blockage during operation. This not only increases maintenance costs but also reduces system reliability. For example, when the crushing rate is too high, critical equipment components may be damaged due to overload; when the rate is too low, material may accumulate in the equipment, causing blockages or even shutdowns. These issues not only affect the continuous operation of the system but also increase operational complexity and costs.

[0008] Although refrigerator crushing and sorting control systems play an important role in resource recovery and environmental protection, existing technologies still have significant deficiencies in terms of dynamic adaptability, precision, response speed, energy consumption optimization, intelligence level, and reliability of rate control. These shortcomings not only limit improvements in sorting efficiency and resource recovery rates, but also increase the system's operating costs and maintenance difficulty. Therefore, developing a new rate control method to overcome the shortcomings of existing technologies has become an important research direction in the field of refrigerator crushing and sorting technology. By introducing advanced intelligent technologies and dynamic control strategies, it is expected that more efficient, energy-efficient, and reliable refrigerator crushing and sorting control systems will be achieved in the future, thereby promoting the sustainable development of the resource recovery industry. Summary of the Invention

[0009] The present invention proposes a control system for refrigerator crushing and sorting. By collecting, processing and analyzing information and combining it with multi-stage crushing and sorting technologies, the control system solves the problems of inaccurate rate control, low sorting efficiency, incomplete separation of metals and non-metals, and high energy consumption in existing refrigerator crushing and sorting systems, thereby achieving efficient and accurate sorting and resource recovery of used refrigerators.

[0010] The technical solution of the present invention is implemented as follows: a control system for refrigerator crushing and sorting, comprising an information collection unit, an information processing and analysis unit, a material crushing unit and a material sorting unit;

[0011] The information acquisition unit includes an image acquisition module and a weight acquisition module to collect images and weight information of waste refrigerators; the information acquisition unit is installed before the waste refrigerator crushing entrance and is used to perform overall inspection of the waste refrigerators; the material sorting unit is installed after the material crushing unit and is used to sort the crushed materials;

[0012] The information processing and analysis unit is electrically connected to the information collection unit and the material sorting unit, performs machine learning on the collected image data of the waste refrigerator, separates the waste refrigerator into metal parts and non-metal parts, and then combines the weight data with the image data to control the material sorting of the subsequent material sorting system;

[0013] The material crushing unit includes a multi-stage crusher connected to each other, a crusher elevator connected to the multi-stage crusher, a vibrating screen connected to the crusher elevator, and a crusher belt conveyor connected to the vibrating screen, and the waste refrigerator is crushed into fragments by the material crushing unit;

[0014] After the material sorting unit sorts the metal part and the non-metal part, the fragments are screened in multiple stages and divided into light fragments and heavy fragments, wherein the light fragments are the non-metal part, and the heavy fragments are a mixture of the metal part and the non-metal part. The heavy fragments are air-sorted and divided into heavy metal-free fragments and heavy metal-containing fragments. The heavy metal-containing fragments are gravity-sorted and divided into heavy metal-free fragments and heavy metal-containing fragments. The sorting results are obtained according to the light fragments, the metal-containing heavy fragments, and the metal-free heavy fragments.

[0015] This control system, through information collection, processing, and analysis, combined with multi-stage crushing and sorting technology, addresses the problems of inaccurate rate control, low sorting efficiency, incomplete metal-non-metal separation, and high energy consumption in existing refrigerator crushing and sorting systems. This enables efficient and accurate sorting and resource recovery of used refrigerators. Traditional systems typically use a single crusher or a fixed crushing rate, failing to dynamically adjust the crushing intensity based on material characteristics. This system achieves progressive crushing and screening of materials through the coordinated operation of multiple crushers, crusher elevators, vibrating screens, and belt conveyors. This multi-stage crushing approach not only improves crushing efficiency but also reduces the risk of equipment overload and material blockage. Furthermore, through real-time feedback from the information processing unit, the crushing rate can be dynamically adjusted to ensure optimal processing for different materials. Existing technologies typically use a single sorting method (such as magnetic separation or air separation), which struggles to achieve complete separation of metals from non-metals. This system uses a combination of multi-stage screening, air separation, and gravity separation to separate the crushed material into light fractions, heavy metal-containing fractions, and heavy metal-free fractions. This multi-level sorting strategy significantly improves metal recovery rates and reduces metal residues in non-metallic materials, solving the problem of incomplete separation in traditional sorting methods.

[0016] Traditional systems often operate at a fixed power during operation and are unable to dynamically adjust energy consumption according to actual needs. Through intelligent analysis by the information processing unit, this system can dynamically adjust the operating status of the crushing and sorting equipment according to the type and flow of the material, thereby optimizing energy consumption. In addition, through refined sorting, the system can maximize the recovery of metal and non-metallic resources, reduce resource waste, and meet the requirements of sustainable development. Due to the lack of dynamic regulation and intelligent management in existing technologies, equipment is easily damaged by overload or material blockage, increasing maintenance costs. Through real-time monitoring and dynamic adjustment, this system effectively avoids equipment overload and material blockage problems, extends the service life of the equipment, and reduces maintenance costs. At the same time, the modular design of the system enables each unit to operate and be maintained independently, further improving the reliability and maintainability of the system.

[0017] As a preferred embodiment, the multi-stage crusher of the material crushing unit includes a coarse crushing device and a fine crushing device, the coarse crushing device includes a primary crusher and first and second crushers connected to the primary crusher, the fine crushing device includes a third crusher connected to the crusher belt conveyor and a crusher belt conveyor connected to the third crusher; the discharge ports of the primary crusher and the first and second crushers are each connected to a vibrating screen for grading and screening the material, and the discharge port of each vibrating screen is connected to the crusher belt conveyor; the discharge port of the coarse crushing device is connected to the fine crushing device through the crusher belt conveyor, and the discharge port of the fine crushing device is connected to the material sorting unit.

[0018] As a preferred embodiment, the image acquisition module collects image information of the waste refrigerator. The image acquisition module includes a first camera and a second camera, wherein the installation position of the first camera is fixed and the installation position of the second camera is adjustable, and the distance between the first camera and the waste refrigerator is 1-1.5m; the waste refrigerator is divided into equal parts according to the distance between the waste refrigerator and the lens of the first camera, and the second camera is adjusted to each equal division point of the waste refrigerator in turn and collects images; the outer shell color of the refrigerator in the image is used as the identification target A, and the image collected by the first camera is used as the reference. When the target A moves from the first camera to the second camera, the first camera and the second camera gradually reduce the circumscribed rectangle of the target A in the images captured at multiple positions until the target A is framed at the center of the image.

[0019] As a preferred embodiment, the waste refrigerator stays on the weight collection module, and a fulcrum is provided at the bottom end of the weight collection module, and the fulcrum values ​​of each vertex of the waste refrigerator are collected to obtain numerical information of multiple fulcrums; among the multiple images, the image of the widest side of the waste refrigerator is used as the target B; if the width of the target B is greater than a set threshold, the gap between the images collected by the first camera and the second camera is used as a unit, and when the width of the target B increases, the second camera collects images again; when the center position of the circumscribed rectangular frame of the target B deviates from the midpoint of the image collected by the first camera, the position and collection frequency of the second camera are controlled to track the center position of the circumscribed rectangular frame of the target B; if the width of the target B is less than the second threshold, it is determined whether the distance L between the waste refrigerator and the first camera is the highest; if so, the re-collection module divides the waste refrigerator into metal parts and non-metal parts according to the fulcrum values ​​of the multiple vertex corners; otherwise, the waste refrigerator is controlled to be raised by a distance L, and an action greater than the set threshold is performed.

[0020] As a preferred embodiment, the material sorting unit uses a crusher to crush the used refrigerator to obtain crushed materials with a maximum length of 80 cm; the crushed materials are divided into light crushed materials and heavy crushed materials; a fan is used to separate the non-metallic part in the heavy crushed materials, the light crushed materials enter the light material conveyor belt, and the heavy crushed materials enter the heavy material conveyor belt; a heavy separator is used to separate the metal part in the heavy crushed materials.

[0021] By adopting the above technical solution, the present invention achieves the following beneficial effects: the control system, through the coordinated operation of an information acquisition unit, an information processing and analysis unit, a material crushing unit, and a material sorting unit, achieves efficient, precise, and intelligent crushing and sorting of used refrigerators. First, the system uses image acquisition and weight acquisition modules to perform a comprehensive inspection of the used refrigerators, and then uses machine learning algorithms to intelligently classify the metal and non-metal components, significantly improving sorting accuracy and efficiency. Second, the introduction of a multi-stage crusher enables progressive crushing of materials, avoiding the problems of equipment overload and material blockage caused by varying material properties in traditional single crushing methods. Furthermore, through real-time feedback from the information processing unit, the system dynamically adjusts the crushing rate to ensure optimal processing of different materials. The material sorting unit uses a combination of multi-stage screening, air separation, and gravity sorting to separate the crushed materials into lightweight, heavy metal-containing, and heavy metal-free fractions. This achieves a thorough separation of metals and non-metals, significantly improving metal recovery rates and reducing metal residues in non-metallic materials. Furthermore, the system dynamically adjusts equipment operating status through intelligent analysis, optimizing energy consumption and reducing operating costs. Real-time monitoring and dynamic adjustments effectively prevent equipment overload and material blockages, extending equipment life and reducing maintenance costs. Overall, the system not only improves sorting efficiency and resource recovery rates, but also optimizes energy consumption and enhances equipment reliability, providing an efficient, precise, and sustainable solution for the recycling of used refrigerators, with significant economic and environmental benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 any creative work.

[0023] Figure 1 This is a system block diagram of the present invention. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0025] Example:

[0026] like Figure 1As shown, a used refrigerator enters the working area of ​​the information collection unit via a conveyor system. The image acquisition module and weight acquisition module in the information collection unit perform comprehensive inspections of the used refrigerator. The image acquisition module uses a high-resolution camera to capture images of the refrigerator's exterior and analyzes the image data using a machine learning algorithm to identify the metal and non-metal components within the refrigerator. Simultaneously, the weight acquisition module weighs the refrigerator to obtain its weight information. This data is transmitted in real time to the information processing and analysis unit, which combines the image and weight data and generates a sorting control strategy using an intelligent algorithm, providing precise guidance for subsequent material crushing and sorting.

[0027] Next, the used refrigerators enter the material crushing unit, which comprises a multi-stage crusher, a crusher elevator, a vibrating screen, and a crusher belt conveyor. The multi-stage crusher, based on the control strategy provided by the information processing and analysis unit, crushes the refrigerators step by step. The primary crusher first breaks the entire refrigerator into larger fragments, which are then further refined by the secondary crusher. The crusher elevator dynamically adjusts the crushing intensity based on the material's characteristics, ensuring optimal processing for different materials. The crushed material is initially screened by a vibrating screen. Oversized fragments are returned to the crusher for secondary crushing. Fragments that meet size requirements are then transported to the material sorting unit via the crusher belt conveyor.

[0028] In the material sorting unit, the crushed material first passes through a multi-stage screening device and is divided into light fragments and heavy fragments according to the size and weight of the fragments. The light fragments are mainly non-metallic parts (such as plastics and foams), and the heavy fragments are a mixture of metal parts and non-metallic parts. Subsequently, the heavy fragments enter the air separation device, and the heavy fragments are further divided into heavy metal-free fragments and heavy metal-containing fragments by the action of airflow. The heavy metal-containing fragments finally enter the gravity sorting device, which uses the density difference between metals and non-metals to completely separate the metal part from the non-metal part through gravity sorting. Finally, the system outputs three types of sorting results: light fragments, heavy metal-containing fragments, and heavy metal-free fragments, which are recycled or further processed respectively.

[0029] Throughout the entire workflow, the information processing and analysis unit maintains real-time communication with each unit, dynamically adjusting crushing and sorting parameters based on material characteristics and sorting results, ensuring efficient system operation and sorting accuracy. Through this intelligent, multi-stage processing approach, the system not only achieves efficient crushing and precise sorting of used refrigerators, but also maximizes the recovery rate of metal and non-metal resources while reducing energy consumption and equipment wear, providing an efficient, precise, and sustainable solution for the recycling of used refrigerators. In a preferred embodiment, the multi-stage crusher of the material crushing unit includes a coarse crushing device and a fine crushing device. The coarse crushing device includes a primary crusher and first and second crushers connected to the primary crusher. The fine crushing device includes a third crusher connected to the crusher belt conveyor and a crusher belt conveyor connected to the third crusher. The discharge ports of the primary crusher and the first and second crushers are each connected to a vibrating screen for grading and screening the material. Each vibrating screen's discharge port is connected to a crusher belt conveyor. The discharge port of the coarse crushing device is connected to the fine crushing device via the crusher belt conveyor, and the discharge port of the fine crushing device is connected to the material sorting unit.

[0030] The working principle and workflow of the image acquisition module are as follows: The image acquisition module includes a first camera and a second camera, wherein the installation position of the first camera is fixed, and the installation position of the second camera is adjustable, and its distance from the waste refrigerator is 1-1.5 meters. First, based on the distance between the waste refrigerator and the lens of the first camera, the waste refrigerator is divided into several equal parts, and the second camera is adjusted to each equal division point in turn and images are acquired. The goal of image acquisition is to identify target A (i.e., the outer shell of the refrigerator) by the change in the color of the refrigerator shell in the image. Taking the image acquired by the first camera as the reference, when target A moves from the first camera to the second camera, the system ensures that the center position of target A in the image is accurately framed by gradually reducing the circumscribed rectangular frame of target A. This process is achieved through multi-position shooting and image analysis to ensure the recognition accuracy and positioning accuracy of target A, providing reliable data support for subsequent metal and non-metal classification.

[0031] In the implementation scenario of the weight collection module, a used refrigerator is placed on the weight collection module. Multiple pivot points are located at the bottom of the module, which collect pivot values ​​at each corner of the refrigerator. The system analyzes these pivot values ​​to obtain the refrigerator's weight distribution. Simultaneously, the image collection module uses the image of the refrigerator's widest side as target B. If the width of target B exceeds a set threshold, the system dynamically adjusts the position and acquisition frequency of the second camera, based on the interval between the first and second camera images, to track the center of the rectangular frame circumscribing target B. If the width of target B is less than the second threshold, the system determines whether the distance L between the refrigerator and the first camera is at a maximum value. If so, the refrigerator is classified into metal and non-metal parts based on the pivot values ​​at the multiple corners. If not, the refrigerator is raised by a distance L and the action of exceeding the set threshold is repeated. This process, through the coordinated analysis of weight and image, achieves precise classification of the refrigerator's metal and non-metal parts, providing reliable basic data for subsequent crushing and sorting.

[0032] In the implementation scenario of the material sorting unit, the system first uses a crusher to crush the used refrigerator into crushed materials with a maximum length of 80 cm. The crushed materials are divided into light fragments and heavy fragments through a screening device. The light fragments are mainly non-metallic parts (such as plastics and foams), and the heavy fragments are a mixture of metal parts and non-metallic parts. Subsequently, the heavy fragments enter the air separation device, and the non-metallic parts in the heavy fragments are further separated by the action of the fan. The light fragments are transported to the non-metal recycling area through the light material conveyor belt, while the heavy fragments enter the gravity sorting device through the heavy material conveyor belt. In the gravity sorting device, the system uses the density difference between metal and non-metal to completely separate the metal part from the non-metallic part in the heavy fragments. Finally, the system outputs three types of sorting results: light fragments, heavy fragments containing metals, and heavy fragments without metals, which are recycled or further processed respectively. The entire sorting process achieves efficient separation of metals and non-metals through a combination of multi-stage screening, air separation and gravity sorting, significantly improving resource recovery rate and sorting accuracy, while reducing energy consumption and equipment wear, providing an efficient, accurate and sustainable solution for the recycling and processing of used refrigerators.

[0033] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A control system for refrigerator crushing and sorting, characterized in that: It includes information collection unit, information processing and analysis unit, material crushing unit and material sorting unit; The information acquisition unit includes an image acquisition module and a weight acquisition module to collect images and weight information of waste refrigerators; the information acquisition unit is installed before the waste refrigerator crushing entrance and is used to perform overall inspection of the waste refrigerators; the material sorting unit is installed after the material crushing unit and is used to sort the crushed materials; The information processing and analysis unit is electrically connected to the information collection unit and the material sorting unit, performs machine learning on the collected image data of the waste refrigerator, separates the waste refrigerator into metal parts and non-metal parts, and then combines the weight data with the image data to control the material sorting of the subsequent material sorting unit; The material crushing unit includes a multi-stage crusher connected to each other, a crusher elevator connected to the multi-stage crusher, a vibrating screen connected to the crusher elevator, and a crusher belt conveyor connected to the vibrating screen, and the waste refrigerator is crushed into fragments by the material crushing unit; After the material sorting unit sorts the metal part and the non-metal part, the fragments are screened in multiple stages and divided into light fragments and heavy fragments, wherein the light fragments are the non-metal part, and the heavy fragments are a mixture of the metal part and the non-metal part. The heavy fragments are air-sorted and divided into heavy metal-free fragments and heavy metal-containing fragments. The heavy metal-containing fragments are gravity-sorted and divided into heavy metal-free fragments and heavy metal-containing fragments. The sorting results are obtained according to the light fragments, the metal-containing heavy fragments, and the metal-free heavy fragments.

2. A control system for refrigerator crushing and sorting according to claim 1, characterized in that: The multi-stage crusher of the material crushing unit includes a coarse crushing device and a fine crushing device, the coarse crushing device includes a primary crusher and first and second crushers connected to the primary crusher, the fine crushing device includes a third crusher connected to the crusher belt conveyor and a crusher belt conveyor connected to the third crusher; the discharge ports of the primary crusher and the first and second crushers are each connected to a vibrating screen for grading and screening the material, and the discharge port of each vibrating screen is connected to the crusher belt conveyor; the discharge port of the coarse crushing device is connected to the fine crushing device through the crusher belt conveyor, and the discharge port of the fine crushing device is connected to the material sorting unit.

3. The control system for refrigerator crushing and sorting according to claim 1, characterized in that: The image acquisition module collects image information of the waste refrigerator. The image acquisition module includes a first camera and a second camera. The first camera is fixedly installed and the second camera is adjustable. The distance between the first camera and the waste refrigerator is 1-1.5 meters. The waste refrigerator is divided into equal parts according to the distance between the waste refrigerator and the lens of the first camera. The second camera is sequentially adjusted to each equal division point of the waste refrigerator and collects images. The outer shell color of the refrigerator in the image is used as the identification target A. The image collected by the first camera is used as a reference. When the target A moves from the first camera to the second camera, the first camera and the second camera gradually reduce the circumscribed rectangle of the target A in the images captured at multiple positions until the target A is framed and located at the center of the image.

4. A control system for refrigerator crushing and sorting according to claim 3, characterized in that: The waste refrigerator stays on the weight collection module, and a fulcrum is provided at the bottom end of the weight collection module, and the fulcrum values ​​of each vertex of the waste refrigerator are collected to obtain numerical information of multiple fulcrums; among the multiple images, the image of the widest side of the waste refrigerator is used as the target B; if the width of the target B is greater than a set threshold, the gap between the images collected by the first camera and the second camera is used as a unit, and when the width of the target B increases, the second camera collects images again; when the center position of the circumscribed rectangular frame of the target B deviates from the midpoint of the image collected by the first camera, the position and collection frequency of the second camera are controlled to track the center position of the circumscribed rectangular frame of the target B; if the width of the target B is less than the second threshold, it is determined whether the distance L between the waste refrigerator and the first camera is the highest; if so, the re-collection module divides the waste refrigerator into a metal part and a non-metal part according to the fulcrum values ​​of the multiple vertex angles; otherwise, the waste refrigerator is controlled to be raised by a distance L, and an action greater than the set threshold is performed.

5. The control system for refrigerator crushing and sorting according to claim 3, characterized in that: The material sorting unit uses a crusher to crush the used refrigerator to obtain crushed materials with a maximum length of 80 cm; the crushed materials are divided into light crushed materials and heavy crushed materials; a fan is used to separate the non-metallic part in the heavy crushed materials, and the light crushed materials enter the light material conveyor belt, and the heavy crushed materials enter the heavy material conveyor belt; a heavy separator is used to separate the metal part in the heavy crushed materials.

Images