Wind power industry waste recycling device
By designing main and branch tracks, and combining advanced detection equipment and intelligent robotic arms, the problem of rapid identification and classification of wind turbine blades has been solved, achieving efficient resource recycling, reducing wind turbine blade manufacturing costs, and improving processing efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- CHINA THREE GORGES UNIV
- Filing Date
- 2025-02-25
- Publication Date
- 2026-05-29
AI Technical Summary
Existing technologies lack solutions for the rapid identification, classification, and efficient recycling of damaged wind turbine blades, resulting in resource waste and low recycling efficiency, which makes it difficult to meet the needs of the large-scale wind power industry.
The system employs a main track and a diversion track design, combined with a 3D laser scanner, a quality measuring instrument, a Goslam 3D laser scanner, and a monitoring instrument. It uses an intelligent robotic arm to quickly identify, classify, and sort wind turbine blades. Computer analysis is used to determine the location of the blades within the wind turbine, and automated diversion and repair processes are then performed.
It enables rapid identification and classification of wind turbine blades, improves resource utilization, reduces manufacturing costs, reduces labor costs, improves processing efficiency, and promotes the sustainable development of the wind power industry.
Smart Images

Figure CN224294257U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the fields of energy conservation, emission reduction and circular economy, specifically a waste recycling device for the wind power industry. Background Technology
[0002] During the operation of wind power generation equipment, wind turbine blades, as core components, are exposed to complex and ever-changing environmental conditions for extended periods, making them susceptible to damage or breakage due to weather changes, mechanical fatigue, and other factors. Currently, the common practice for handling damaged wind turbine blades is to directly dismantle them for disposal or sell them at a low price, and then purchase new materials to manufacture new blades. This approach not only increases the manufacturing cost of the blades but also generates a large amount of solid waste, contradicting the development concept of a circular economy.
[0003] Furthermore, wind turbine blades are typically made of composite materials (such as glass fiber reinforced plastics), and their recycling technology is complex. Traditional processing methods struggle to efficiently separate and reuse these materials. Therefore, there is an urgent need for a system capable of rapidly identifying, classifying, and recycling solid waste from wind turbine blades to reduce manufacturing costs, minimize resource waste, and promote the sustainable development of the wind power industry.
[0004] Existing recycling technologies mostly focus on the recycling of metallic materials, lacking targeted recycling solutions for composite material wind turbine blades. Furthermore, current technologies lack integrated systems for the rapid identification, sorting, and processing of damaged blades, resulting in low recycling efficiency and failing to meet the needs of large-scale wind power industries. Summary of the Invention
[0005] The technical problem to be solved by this utility model is to provide a waste recycling device for the wind power industry, which is a system device that can quickly identify, classify and recycle solid waste from wind turbine blades, so as to reduce the manufacturing cost of wind turbine blades, reduce resource waste and promote the sustainable development of the wind power industry.
[0006] To solve the above-mentioned technical problems, the technical solution adopted by this utility model is: a waste recycling device for the wind power industry. The main body of the device includes a main track and at least two sets of diversion tracks perpendicular to the main track. Conveyor belts are provided on both the main track and the diversion tracks. A quality and shape detection module, a volume detection and analysis module, a discrimination module and a monitoring module are sequentially provided along the conveyor belt conveying direction of the main track.
[0007] The discrimination module includes a robotic arm, which is set on the extension section of the input end of the diversion track and is used to sort objects to the main track or the diversion track.
[0008] The monitoring module includes a monitoring instrument used to detect the surface condition of the object and control the flow diversion.
[0009] In a preferred embodiment, the quality and shape detection module includes:
[0010] A 3D laser scanner located above the conveyor belt is used to acquire shape data of objects;
[0011] A mass measuring instrument located on the conveyor belt surface, used to measure the mass of objects;
[0012] Both the 3D laser scanner and the mass measuring instrument are connected to a computer, where data is stored and used for subsequent analysis.
[0013] In a preferred embodiment, the volume detection and analysis module includes a Goslam 3D laser scanner for measuring the volume data of the object;
[0014] The volume data and mass data are combined to calculate the object density and analyze the object's component location within the wind turbine blades.
[0015] In a preferred embodiment, the robotic arm of the discrimination module sorts items based on the matching rate between the constructed part data and the corresponding part of the complete wind blade, and diverts items with a matching rate lower than a set value to one of the diversion tracks via the robotic arm.
[0016] In a preferred embodiment, the monitoring module's monitoring instrument detects the surface condition of the object and diverts objects with rust to another diversion track via a robotic arm.
[0017] In a preferred embodiment, baffles are provided on both sides of the conveyor belt.
[0018] In a preferred embodiment, each set of the diversion track includes two track sections located on both sides of the main track. The diversion track on one side of the main track is used to transport objects to be disassembled, and the diversion track on the other side of the main track is used to transport objects to be repaired.
[0019] The waste recycling device for the wind power industry provided by this utility model has the following beneficial effects by adopting the above-described structure:
[0020] (1) Through modular design, the functions of quality and shape detection, volume detection and analysis, discrimination and sorting, and monitoring and repair are integrated into one, realizing the rapid identification and classification of solid waste from wind turbine blades. Compared with the traditional direct dismantling and disposal method, this utility model can efficiently separate reusable components, reduce the need for new material procurement, and significantly reduce the manufacturing cost of wind turbine blades;
[0021] (2) Advanced testing equipment such as 3D laser scanners, Goslam 3D laser scanners, and mass measuring instruments are used to accurately acquire data on the shape, mass, volume, and density of objects. Combined with computer analysis technology, the component location and reuse value of the object in the wind turbine blade are quickly determined. Through the sorting function of the intelligent robotic arm, objects that meet the matching rate and are free of rust are directly used for wind turbine blade construction, maximizing resource utilization.
[0022] (3) This utility model achieves automated sorting and processing of objects through the coordinated work of intelligent robotic arms and monitoring instruments. Objects with a matching rate lower than the set value are automatically diverted to the disassembly and reshaping track, and objects with rust are diverted to the diversion track. No manual intervention is required, which greatly improves processing efficiency and reduces labor costs. Attached Figure Description
[0023] The present invention will be further described below with reference to the accompanying drawings and embodiments:
[0024] Figure 1 This is a schematic diagram of the overall structure of this utility model.
[0025] Figure 2 This is a schematic diagram of the diversion position in this utility model.
[0026] In the diagram: 1. Main body of the device; 2. Conveyor belt; 3. 3D laser scanner; 4. Mass measuring instrument; 5. Goslam 3D laser scanner; 6. Robotic arm; 7. Monitoring instrument; 8. Baffle; 9. Diversion track. Detailed Implementation
[0027] Example 1:
[0028] like Figure 1 In the present invention, a waste recycling device for the wind power industry is disclosed. The main body 1 of the device includes a main track and at least two sets of diversion tracks 9 perpendicular to the main track. Conveyor belts 2 are provided on both the main track and the diversion tracks 9. A quality and shape detection module, a volume detection and analysis module, a discrimination module and a monitoring module are sequentially provided along the conveying direction of the conveyor belts 2 on the main track.
[0029] The discrimination module includes a robotic arm 6, which is set on the extension section of the input end of the diversion track 9 and is used to sort objects to the main track or the diversion track 9.
[0030] The monitoring module includes a monitor 7, which is used to detect the surface condition of the object and control the flow diversion.
[0031] In a preferred embodiment, the quality and shape detection module includes:
[0032] The 3D laser scanner 3, located above the conveyor belt 2, is used to acquire the shape data of the object;
[0033] The mass measuring instrument 4, located on the surface of conveyor belt 2, is used to measure the mass of objects.
[0034] Both the 3D laser scanner 3 and the mass measuring instrument 4 are connected to a computer, where data is stored and used for subsequent analysis.
[0035] In a preferred embodiment, the volume detection and analysis module includes a Goslam 3D laser scanner 5, used to measure the volume data of the object;
[0036] The volume data and mass data are combined to calculate the object density and analyze the object's component location within the wind turbine blades.
[0037] In a preferred embodiment, the robotic arm 6 of the discrimination module sorts items based on the matching rate between the constructed part data and the corresponding part of the complete fan blade, and diverts items with a matching rate lower than a set value to one of the diversion tracks 9 via the robotic arm 6.
[0038] In a preferred embodiment, the monitoring module's monitoring instrument 7 detects the surface condition of the object and diverts objects with rust to another diversion track 9 via the robotic arm 6.
[0039] In a preferred embodiment, baffles 8 are provided on both sides of the conveyor belt 2.
[0040] In a preferred embodiment, each set of the diversion track 9 includes two track sections located on both sides of the main track. The diversion track 9 located on one side of the main track is used to transport objects to be disassembled, and the diversion track 9 located on the other side of the main track is used to transport objects to be repaired.
[0041] The present invention discloses a waste recycling device for the wind power industry. The principle of the device for waste recycling is as follows:
[0042] 1) Device startup and calibration
[0043] After the device is started, the running speed of conveyor belt 2 is calibrated according to the computer's data processing speed and the recognition speed of each module to ensure that each module can work together efficiently.
[0044] 2) Quality and shape inspection
[0045] Fragments of discarded windmill blades are transported to the mass and shape detection module via conveyor belt 2. A 3D laser scanner 3, located above conveyor belt 2, scans the shape of the object to obtain its three-dimensional shape data; simultaneously, a mass measuring instrument 4, located on the surface of conveyor belt 2, measures the mass of the object. The obtained data is transmitted to a computer in real time for storage and analysis.
[0046] 3) Volume detection and analysis
[0047] The object continues to be transported to the volume detection and analysis module. The Goslam 3D laser scanner 5 accurately measures the object's volume and transmits the volume data to the computer. Combining the data from the mass and shape detection modules, the computer calculates the object's density and analyzes its component location within the wind turbine blades.
[0048] 4) Identification and sorting
[0049] After the object enters the discrimination module, the computer matches the object's component data with the corresponding component data of the complete fan blade. If the matching rate is less than 80%, the intelligent robotic arm 6 sorts the object to the disassembly and reshaping track in the diversion track 9; if the matching rate meets the standard, the object continues to be transported along the main track to the monitoring module.
[0050] 5) Monitoring and Repair
[0051] In the monitoring module, the monitor 7 detects the surface condition of the object. If the object has rust or other defects, the intelligent robotic arm 6 sorts it to the diversion track 9 for further processing; if the object's surface condition is good, it flows directly into the main track and is used as a wind turbine blade construction material.
[0052] 6) Diversion processing
[0053] Disassembly and Remodeling Track: Components with a matching rate of less than 80% are transported to the disassembly and remodeling track for disassembly, crushing, and material remodeling to generate new composite materials for wind turbine blade manufacturing.
[0054] Distributor track: Items with rust or defects are transported to the distributor track for surface treatment, repair and anti-corrosion treatment. The repaired items can be used directly for wind turbine blade construction.
[0055] Main track: Flawless items with a matching rate that meet the standards flow directly into the main track and are used as wind turbine blade construction materials.
[0056] 7) Complete recycling
[0057] Through the above steps, the waste wind turbine blade fragments are efficiently sorted, processed, and recycled, maximizing resource utilization and minimizing solid waste emissions.
[0058] In the above process:
[0059] Data acquisition and analysis involved obtaining shape and mass data of the object using a 3D laser scanner 3 and a mass measuring instrument 4. Volume data of the object was acquired using a Goslam 3D laser scanner 5, and density was calculated by combining this with the mass data to analyze the material type of the object and its component position within the wind turbine blades.
[0060] The identification and sorting process involves matching the component data of an object with the corresponding component data of a complete fan blade using a computer to calculate the matching rate. The intelligent robotic arm 6 then sorts the objects onto the main track or the distribution track 9 based on the matching rate, achieving automated object classification.
[0061] Monitoring and sorting processes are achieved by using monitor 7 to detect the surface condition of objects. Objects with rust or defects are sorted to a sorting track for repair. Objects without defects and meeting the matching rate standards flow directly into the main track for use as building materials.
[0062] The disassembly and remodeling track disassembles, crushes, and reshapes low-matching components to generate new composite materials. The diversion track repairs defective components, restoring their usability. The main track transports usable components to the wind turbine manufacturing stage, achieving efficient resource recycling.
[0063] In the device, the main track and the diversion track 9 can adopt a dual-track design to ensure that objects in different states can be processed simultaneously, avoid process congestion, and improve overall work efficiency.
Claims
1. A waste recycling device for the wind power industry, characterized in that: The main body of the device (1) includes a main track and at least two sets of branch tracks (9) perpendicular to the main track. Both the main track and the branch tracks (9) are equipped with conveyor belts (2). Along the conveyor belt (2) of the main track, a quality and shape detection module, a volume detection and analysis module, a discrimination module and a monitoring module are arranged in sequence. The discrimination module includes a robotic arm (6), which is set on the extension section of the input end of the diversion track (9) and is used to sort objects to the main track or the diversion track (9). The monitoring module includes a monitoring instrument (7) for detecting the surface condition of the object and controlling the diversion.
2. The waste recycling device for the wind power industry according to claim 1, characterized in that: The quality and shape detection module includes: A 3D laser scanner (3) located above the conveyor belt (2) is used to acquire the shape data of the object; A mass measuring instrument (4) located on the surface of the conveyor belt (2) is used to measure the mass of the object; Both the 3D laser scanner (3) and the mass measuring instrument (4) are connected to a computer, where data is stored and used for subsequent analysis.
3. A waste recycling device for the wind power industry according to claim 2, characterized in that: The volume detection and analysis module includes a Goslam 3D laser scanner (5) for measuring the volume data of the object; The volume data and mass data are combined to calculate the object density and analyze the object's component location within the wind turbine blades.
4. A waste recycling device for the wind power industry according to claim 3, characterized in that: The robotic arm (6) of the discrimination module sorts objects according to the matching rate between the construction part data and the corresponding part of the complete wind blade, and diverts objects with a matching rate lower than the set value to one of the diversion tracks (9) through the robotic arm (6).
5. A waste recycling device for the wind power industry according to claim 4, characterized in that: The monitoring module's monitoring instrument (7) detects the surface condition of the object and diverts the rusted object to another diversion track (9) via the robotic arm (6).
6. A waste recycling device for the wind power industry according to claim 1, characterized in that: The conveyor belt (2) is provided with baffles (8) on both sides.
7. A waste recycling device for the wind power industry according to claim 1, characterized in that: The single-group diversion track (9) includes two track sections located on both sides of the main track. The diversion track (9) located on one side of the main track is used to transport objects to be disassembled, and the diversion track (9) located on the other side of the main track is used to transport objects to be repaired.