Intelligent closed-loop crushing system in copper smelting concentrate warehouse based on visual identification

The intelligent closed-loop crushing system based on vision recognition automatically identifies and processes large particles in copper smelting concentrate silos, solving the high cost problem caused by manual operation and achieving efficient automated crushing and energy-saving production.

CN118060034BActive Publication Date: 2026-02-03YANGXIN HONGSHENG COPPER IND CO LTD
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Patent Information

Application Number
CN202410215483.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-02-27
Publication Date
2026-02-03
Estimated Expiration
2044-02-27

AI Technical Summary

Technical Problem

In existing technologies, the recovery and processing of large particles in copper smelting concentrate ponds relies on manual operation, with low automation, resulting in high labor costs and making it difficult to meet the production requirements of copper flash smelting for particles smaller than 200 mesh.

Method used

The system employs a vision-based intelligent closed-loop crushing system that uses a 3D scanning camera and an on-board control module to automatically identify the inventory of large particles. It then achieves automatic crushing of large particles through an automatic feeding vehicle and a crushing module, including the coordinated operation of a DCS control system, jaw and cone crushers, and a belt conveyor.

Benefits of technology

It has achieved automated crushing of large particles, improved production efficiency, reduced labor costs, and optimized energy consumption through intermittent crushing and preheating operation, thereby improving the system's intelligence and safety.

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Abstract

The present application relates to the technical field of intelligent crushing, and particularly relates to a copper smelting concentrate warehouse intelligent closed-loop crushing system based on visual identification. The system comprises a material crushing warehouse, an automatic feeding vehicle, a material identification module and a vehicle-mounted control module, and a crushing module. The material crushing warehouse is used to provide a material crushing site and is located inside a copper concentrate warehouse. The crushing module is arranged inside the material crushing warehouse to crush materials. The material identification module scans and identifies materials accumulated in the crushing warehouse. The vehicle-mounted control module receives identification information from the material identification module, models and analyzes the identification information to determine whether the inventory of materials exceeds the maximum inventory of the material crushing warehouse, and controls the automatic feeding vehicle to transport materials exceeding the maximum inventory of the material crushing warehouse to the crushing module for crushing. The crushing system can automatically identify the inventory of large-particle materials, and automatically crush large-particle materials instead of manual operation, thereby improving production efficiency.
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Description

Technical Field

[0001] This invention relates to the field of intelligent crushing technology, and in particular to an intelligent closed-loop crushing system for copper smelting concentrate silos based on visual recognition. Background Technology

[0002] The flash smelting process for copper requires that at least 80% of the raw materials have a particle size smaller than 200 mesh. However, during actual ore transportation, factors such as moisture content, material rolling, and storage within the silo cause material agglomeration, resulting in excessively large particles that do not meet production requirements. Typically, a screening system is used to control the particle size of the raw materials. Materials of different sizes are screened through multiple layers of screens with varying apertures on a vibrating screen, separating and recovering materials that do not meet the size requirements. The recovered large particles are then crushed again to become qualified materials for use in the raw material mix. Currently, the recovery and processing of large particles relies entirely on manual operation, resulting in low automation and high labor costs. Therefore, a solution is urgently needed.

[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is the closest prior art. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent closed-loop crushing system for copper smelting concentrate storage based on visual recognition. This crushing system can automatically identify the inventory of large particles and promptly replace manual labor to automatically crush large particles, thereby improving production efficiency.

[0005] To achieve the aforementioned objective, the technical solution of the present invention is implemented as follows: an intelligent closed-loop crushing system for copper smelting concentrate silos based on visual recognition, comprising: a material crushing silo; the material crushing silo is used to provide a material crushing site and is located inside the copper concentrate silo, and the material crushing silo is equipped with a crushing module for crushing materials.

[0006] An automatic feeding vehicle is equipped with a material identification module and an on-board control module. The material identification module scans and identifies the materials piled up in the crushing chamber. The on-board control module receives the identification information from the material identification module, models and analyzes the identification information to determine whether the inventory of materials exceeds the maximum inventory of the material crushing chamber, and controls the automatic feeding vehicle to transport materials exceeding the maximum inventory of the material crushing chamber to the crushing module for crushing.

[0007] Preferably, the material identification module includes a 3D scanning camera; the 3D scanning camera is installed on the automatic feeding vehicle.

[0008] Preferably, the vehicle-mounted control module includes image modeling software and a vehicle-mounted control module; the image modeling software is electrically connected to a 3D scanning camera, and establishes a 3D model of the material pile based on the material information scanned by the 3D scanning camera; the vehicle-mounted control module is equipped with a data analysis library and an ICS system, the data analysis library analyzes the inventory of the material pile based on the 3D model of the material pile, and issues a single processing task to the ICS system based on the analysis results, the single processing task being the amount of material transported by the automatic loading vehicle each time.

[0009] Preferably, the automatic feeding vehicle is equipped with an automatic locator and a radar; the automatic locator transmits the position of the automatic feeding vehicle to the ICS system in real time, and the radar is used to detect the distance between the automatic feeding vehicle and the material pile or crushing module, and transmits the distance information between the two to the ICS system in real time; the ICS system controls the automatic feeding vehicle to grab the material in the material pile according to the received information and transport the material to the crushing module.

[0010] Preferably, the crushing module includes a DCS control system, a jaw crusher, a cone crusher, and a conveyor belt mechanism for transporting materials; the DCS control system is electrically connected to the ICS system, the jaw crusher, the cone crusher, and the conveyor belt mechanism for transporting materials, and the DCS control system controls the start and stop of the jaw crusher, the cone crusher, and the conveyor belt mechanism for transporting materials.

[0011] Preferably, the I CS system controls the DCS control system to control the preheating operation of the jaw crusher, cone crusher, and conveyor belt mechanism for transporting materials.

[0012] Preferably, the jaw crusher is provided with a feeding hopper that is wider at the top and narrower at the bottom; the automatic feeding trolley transports the material to the feeding hopper and feeds it into the jaw crusher for initial crushing.

[0013] Preferably, the top of the feeding hopper is provided with a truss with horizontal and vertical intersecting holes of 250mm×250mm.

[0014] Preferably, the belt mechanism includes a first inclined conveyor belt; one end of the first inclined conveyor belt is connected to the discharge port below the jaw crusher, and the other end is connected to the top feed end of the cone crusher, so as to input the material crushed by the jaw crusher into the cone crusher for secondary crushing.

[0015] Preferably, the belt mechanism includes a second inclined belt; one end of the second inclined belt is connected to the discharge port of the cone crusher, and the other end is connected to the crushed material storage area, and the crushed material is transported to the crushed material storage area for storage; the automatic feeding car grabs the material in the crushed material storage area and transports it to the wet concentrate feed hopper, and the crushed material participates in the re-blending for reuse.

[0016] The beneficial effects of this invention are reflected in:

[0017] (1) In this invention, large particles are transported in a material crushing silo by an automatic feeding vehicle, and then automatically crushed by a crushing module to reduce the large particles to meet production requirements. The entire crushing process can be carried out automatically based on the inventory of large particles, which is more efficient and intelligent than traditional manual methods.

[0018] (2) By setting up a 3D scanning camera and an on-board control module, the present invention intelligently identifies the inventory of large particles by applying visual recognition technology, and realizes intermittent crushing production of large particles based on the inventory. This not only ensures that the inventory capacity of the pile of large particles is not affected, but also enables the crushing module to work intermittently, improving production efficiency while also saving energy and increasing efficiency. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the crushing system of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1

[0022] See Figure 1 As shown:

[0023] This invention provides an intelligent closed-loop crushing system for copper smelting concentrate silos based on visual recognition, comprising: a material crushing silo and an automatic feeding vehicle.

[0024] In actual use, a section inside the copper concentrate silo is designated as a material crushing silo. The material crushing silo is mainly used to provide a crushing site for materials, and it is equipped with crushing modules for crushing materials.

[0025] The automated feeding vehicle is equipped with a material identification module and an on-board control module.

[0026] The material identification module scans and identifies the inventory of large particles accumulated in the crushing silo.

[0027] The vehicle-mounted control module receives the identification information from the material identification module, models and analyzes the identification information to determine whether the material inventory exceeds the maximum inventory of the material crushing silo, and controls the automatic feeding vehicle to transport the material exceeding the maximum inventory of the material crushing silo to the crushing module for crushing.

[0028] Similarly, when the total amount of material in the material crushing silo does not exceed its maximum inventory, the on-board control module controls the automatic feeding vehicle to stop working, not to perform crushing operations, and to be in a dormant state.

[0029] This setup allows for the automatic crushing of large particles in the crushing chamber, transforming them into materials that meet production needs. The entire crushing process is automated based on inventory levels, resulting in lower costs compared to traditional manual methods. Furthermore, it frees up manpower while simultaneously improving the crushing efficiency of large particles.

[0030] The material identification module includes a 3D scanning camera; the 3D scanning camera is installed on the automatic feeding vehicle.

[0031] The vehicle-mounted control module includes image modeling software and a vehicle-mounted control module; the image modeling software is electrically connected to the 3D scanning camera, meaning the two are connected in real time via wireless signals. The image modeling software creates a 3D model of the material pile based on the material information scanned by the 3D scanning camera.

[0032] The vehicle control module contains a data analysis library and an ICS system.

[0033] The data analysis library can acquire information from the 3D model of the material pile created by the image modeling software, analyze the inventory of the material pile based on the 3D model, and determine whether the inventory of the material pile exceeds the inventory level set by the material crushing warehouse that requires processing of the material pile.

[0034] Based on the analysis results, the data analysis library issues a single processing task to the I CS system. The single processing task is the amount of material that the automatic feeding vehicle will handle each time.

[0035] In practical use, the workload can be one-third or one-half of the amount of large particle material pile to ensure that the automatic feeding car is in an intermittent working mode. This not only ensures that the capacity of the material crushing silo is not affected, but also that the automatic feeding car and crushing system do not need to work for a long time, thereby achieving the effect of energy saving and consumption reduction.

[0036] The automated loading trolley is equipped with an automatic positioner and radar. The automatic positioner transmits the trolley's position to the ICS system in real time, while the radar detects the distance between the trolley and the material pile or crushing module, and transmits this distance information to the ICS system in real time. Based on the received information, the ICS system controls the trolley to grab the material from the material pile and transport it to the crushing module.

[0037] With this setup, the automatic feeding vehicle can automatically travel back and forth between the material pile and the crushing module. During the entire movement, the ICS system can make real-time corrections to the automatic feeding vehicle's path based on its coordinates, distance from the target, and distance from surrounding obstacles. This enables the automatic feeding vehicle to operate unmanned and automatically, improving its safety and stability.

[0038] The crushing module mainly consists of a DCS control system, a jaw crusher, a cone crusher, and a belt conveyor for transporting materials.

[0039] The DCS control system is electrically connected to the ICS system, jaw crusher, cone crusher, and conveyor belt mechanism for transporting materials. The DCS control system controls the start and stop of the jaw crusher, cone crusher, and conveyor belt mechanism for transporting materials.

[0040] The ICS (Integrated Control System) controls the preheating operation of the jaw crusher, cone crusher, and conveyor belt system for transporting materials. Typically, before the automatic feeding vehicle begins operation, the DCS control system pre-runs the jaw crusher, cone crusher, and conveyor belt system for three minutes. This ensures that materials transported from the automatic feeding workshop to the material crushing module can immediately enter the crushing process, preventing material accumulation at the crushing module and thus improving the overall intelligence of the crushing system's operation.

[0041] The jaw crusher is equipped with a feeding hopper that is wider at the top and narrower at the bottom. An automatic feeding trolley transports the material to the feeding hopper and then feeds it into the jaw crusher for initial crushing.

[0042] A truss with 250mm x 250mm openings is installed at the top of the feeding hopper. The truss protects the feeding hopper and prevents large particles from damaging it when they fall.

[0043] The belt conveyor mainly consists of a first-angle conveyor belt and a second-angle conveyor belt.

[0044] One end of the first inclined conveyor belt is connected to the discharge port below the jaw crusher, and the other end is connected to the top feed end of the cone crusher, feeding the material crushed by the jaw crusher into the cone crusher for secondary crushing.

[0045] One end of the second inclined belt connects to the discharge port of the cone crusher, and the other end connects to the crushed material storage area, conveying the crushed material to the crushed material storage area for storage.

[0046] The first and second inclined conveyor belts allow large particles to flow between the jaw crusher and the cone crusher, achieving two-stage crushing and improving the crushing efficiency of large particles.

[0047] The automatic feeding vehicle grabs the material from the crushed material storage area and transports it to the wet concentrate feed hopper. The crushed material participates in the re-batching and reuse, completing the closed-loop process of intelligent dual crushing.

[0048] 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 within the protection scope of the present invention.

Claims

1. A visual recognition-based intelligent closed-loop crushing system for copper smelting concentrate, characterized in that, Includes a material crushing silo; the material crushing silo is used to provide a material crushing site and is located inside the copper concentrate silo, and the material crushing silo is equipped with a crushing module for crushing materials; An automatic feeding vehicle is equipped with a material identification module and an on-board control module. The material identification module scans and identifies the materials piled up in the crushing chamber. The on-board control module receives the identification information from the material identification module, models and analyzes the identification information to determine whether the inventory of the materials exceeds the maximum inventory of the material crushing chamber, and controls the automatic feeding vehicle to transport the materials exceeding the maximum inventory of the material crushing chamber to the crushing module for crushing. The material identification module includes a 3D scanning camera; the 3D scanning camera is installed on the automatic feeding vehicle. The vehicle-mounted control module includes image modeling software and a vehicle-mounted control module. The image modeling software is electrically connected to a 3D scanning camera and creates a 3D model of the material pile based on the material information scanned by the 3D scanning camera. The vehicle-mounted control module has a data analysis library and an ICS system. The data analysis library analyzes the inventory of the material pile based on the 3D model of the material pile and issues a single processing task to the ICS system based on the analysis results. The single processing task is the amount of material that the automatic loading vehicle will handle each time.

2. The intelligent closed-loop crushing system for copper smelting concentrate based on visual recognition in a silo, as described in claim 1, is characterized in that... The automatic feeding vehicle is equipped with an automatic locator and radar. The automatic locator transmits the position of the automatic feeding vehicle to the ICS system in real time. The radar is used to detect the distance between the automatic feeding vehicle and the material pile or crushing module, and transmits the distance information between the two to the ICS system in real time. The ICS system controls the automatic feeding vehicle to grab the material from the material pile and transport the material to the crushing module based on the received information.

3. The intelligent closed-loop crushing system for copper smelting concentrate based on visual recognition in a silo, as described in claim 2, is characterized in that... The crushing module includes a DCS control system, a jaw crusher, a cone crusher, and a conveyor belt mechanism for transporting materials. The DCS control system is electrically connected to the ICS system, the jaw crusher, the cone crusher, and the conveyor belt mechanism for transporting materials, and the DCS control system controls the start and stop of the jaw crusher, the cone crusher, and the conveyor belt mechanism for transporting materials.

4. The intelligent closed-loop crushing system for copper smelting concentrate based on visual recognition in a silo, as described in claim 3, is characterized in that... The ICS system controls the DCS control system to preheat the jaw crusher, cone crusher, and conveyor belt mechanism for transporting materials.

5. The intelligent closed-loop crushing system for copper smelting concentrate based on visual recognition in a silo, as described in claim 4, is characterized in that... The jaw crusher is equipped with a feeding hopper that is wider at the top and narrower at the bottom; the automatic feeding trolley transports the material to the feeding hopper and feeds it into the jaw crusher for initial crushing.

6. The intelligent closed-loop crushing system for copper smelting concentrate based on visual recognition in a silo, as described in claim 5, is characterized in that... The top of the feeding hopper is equipped with a truss with intersecting horizontal and vertical holes of 250mm × 250mm.

7. The intelligent closed-loop crushing system for copper smelting concentrate based on visual recognition in a silo, as described in claim 6, is characterized in that... The belt mechanism includes a first inclined conveyor belt; one end of the first inclined conveyor belt is connected to the discharge port below the jaw crusher, and the other end is connected to the top feed end of the cone crusher, so as to input the material crushed by the jaw crusher into the cone crusher for secondary crushing.

8. The intelligent closed-loop crushing system for copper smelting concentrate based on visual recognition according to claim 7, characterized in that, The belt mechanism includes a second inclined belt; one end of the second inclined belt is connected to the discharge port of the cone crusher, and the other end is connected to the crushed material storage area, and the crushed material is transported to the crushed material storage area for storage; the automatic feeding car grabs the material in the crushed material storage area and transports it to the wet concentrate feed bin, and the crushed material participates in the re-blending for reuse.

Citation Information

Patent Citations

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