Garbage treatment system for shipbuilding and treatment method thereof

Abstract

The invention relates to a garbage treatment system for shipbuilding and a treatment method thereof, and belongs to the technical field of shipbuilding garbage treatment.The garbage treatment system comprises an intelligent sorting module, a recyclable object treatment module, an unrecyclable object treatment module and a central management and control platform, and the intelligent sorting module comprises a multi-mode sensing unit and a visual sorting mechanical arm. According to the device, four types of solid garbage can be automatically and accurately sorted, recoverable objects and unrecoverable objects can be separated, metal, plastic and wood recoverable objects can be efficiently regenerated, inert garbage, combustible garbage, dangerous waste and unrecoverable objects can be sorted according to types, the garbage of shipbuilding can be quickly classified, and the sorting efficiency is improved. According to the method and the device, the garbage can be conveniently and respectively recycled and treated, automatic sorting and grading of recoverable objects and unrecoverable objects can be realized through multi-modal sensing and analysis decision, misjudgment of traditional manual sorting is avoided, a sorting path is dynamically optimized in combination with garbage forms and physical characteristics, and thus the garbage treatment efficiency can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of ship waste treatment, and in particular to a shipbuilding waste treatment system and a treatment method thereof. Background Art

[0002] There are various types of garbage generated during the shipbuilding process, and the treatment methods vary according to the nature of the waste and environmental regulations. The solid garbage mainly includes: 1. Metal waste from steel cutting, welding, machining and other links, mainly including metal scraps (steel plates, aluminum, etc.), welding slag, metal dust, and waste steel sand (residue after sandblasting and rust removal); 2. Solid waste such as material packaging and construction waste, mainly including plastic film, wooden boxes, foam and other packaging materials, waste insulation materials (such as glass wool, rock wool), waste cables, and rubber products; 3. Food residues and plastic bottles generated by workers; 4. Demolition waste of temporary facilities (such as concrete and bricks).

[0003] Among them, metal scrap can be sold to metal recycling companies after sorting and re-cast into industrial raw materials. Recyclable materials such as plastics and cardboard can be sorted and then enter the recycling channel. Non-recyclable and non-hazardous garbage is handled according to local regulations. Traditional treatment methods usually use manual sorting for classification. Such treatment methods are inefficient and easily lead to waste of recyclable resources, while mixed landfill or incineration causes environmental pollution. In order to facilitate the shipbuilding process, a large amount of solid waste is generated, including: 1. Metal scraps are mainly steel and aluminum; 2. Packaging waste is mainly plastic, wood and foam; 3. Domestic waste mainly consists of organic waste and plastic bottles; 4. Construction waste mainly consists of concrete and bricks; traditional treatment methods rely on manual sorting, which is inefficient and easily leads to waste of recyclable resources, and non-recyclable waste is often mixed and landfilled or incinerated. We now propose a shipbuilding waste treatment system and treatment method, which can automatically and accurately sort four types of solid waste, separate recyclables from non-recyclables, so as to efficiently regenerate recyclable metals, plastics, and wood, and can sort inert waste, combustible waste, hazardous waste and non-recyclables by category for subsequent treatment. Summary of the Invention

[0004] The present invention provides a shipbuilding waste treatment system and treatment method, which solves the problem that the existing technology lacks a "recyclable-non-recyclable" classification treatment system for shipbuilding scenarios. It can automatically and accurately sort four types of solid waste, separate recyclables from non-recyclables, so as to efficiently regenerate recyclables such as metals, plastics, and wood, and can sort inert waste, combustible waste, and hazardous waste non-recyclables by category for subsequent treatment.

[0005] The present invention solves the above-mentioned technical problems with the following solution: A shipbuilding waste treatment system comprises an intelligent sorting module, a recyclables processing module, a non-recyclables processing module, and a central control platform. The intelligent sorting module comprises a multimodal sensing unit and a visual sorting robotic arm. The recyclables processing module comprises a metal recycling unit, a plastic recycling unit, and a wood / foam recycling unit. The non-recyclables processing module comprises an inert waste treatment line, a combustible waste incineration unit, and a hazardous waste temporary storage bin. The central control platform comprises a digital twin system and a compliance management module.

[0006] The multimodal sensing unit includes a metal identification submodule, a material sorting submodule, and a physical property detection submodule;

[0007] The metal identification submodule includes an electromagnetic induction sensor and a laser-induced breakdown spectroscopy (LIBS), the material sorting submodule includes a near-infrared spectroscopy (NIR) sensor and a hyperspectral imager, and the physical property detection submodule includes a weight-volume density analyzer and an air flotation separation device;

[0008] The visual sorting robot arm includes a visual recognition system, a robot arm sorting system and a data interaction and control unit, the data interaction and control unit includes an industrial camera array and a deep learning model, the robot arm sorting system includes a six-axis collaborative robot arm and a path planning algorithm, and the data interaction and control unit includes an edge computing gateway and a PLC control system;

[0009] The processing method includes the following steps:

[0010] S1: Waste input and initial screening: The waste is evenly laid on the conveyor belt by a vibrating feeder at a conveying speed of 1-2m / s, and metal waste is initially separated through a metal detection gate;

[0011] S2: Multimodal data acquisition: LIBS scans metal composition, NIR identifies plastic / wood types, hyperspectral imaging distinguishes foams from composite materials, gravimetric-volume analyzer calculates density, and air flotation device pre-separates light / heavy materials;

[0012] S3: Classification decision: The vision system generates a 3D point cloud model, and the CNN model outputs classification labels such as "304 stainless steel scraps" and "HDPE plastic film." The decision system integrates sensor data to determine whether the waste is recyclable or non-recyclable, and the specific treatment path;

[0013] S4: Robotic arm sorting execution: The robotic arm grabs the target garbage according to the path planning and puts it into the corresponding collection box according to the category. Recyclable metal is sent to the metal recycling unit conveyor belt, recyclable plastic is sent to the plastic granulator feed port, non-recyclable concrete is sent to the construction waste crusher, and hazardous waste is sent to the sealed hazardous waste container;

[0014] S5: Data synchronization sorting results: The sorting results (such as missorting rate and processing speed) are uploaded to the central management platform, and the model automatically updates the weight parameters.

[0015] On the basis of the above technical solution, the present invention can also be improved as follows.

[0016] Furthermore, the electromagnetic induction sensor is used to detect the conductivity and magnetism of metals, thereby being able to distinguish between magnetic metals such as iron and steel and non-magnetic metals such as aluminum and copper.

[0017] Furthermore, the metal regeneration unit includes an eddy current separator, a scrap steel crusher and an electric arc furnace. The eddy current separator separates non-ferrous metals aluminum and copper, and the sorted metal shells are smelted and regenerated into ship steel through the scrap steel crusher and the electric arc furnace.

[0018] Furthermore, the near-infrared spectroscopy (NIR) sensor identifies organic materials and wood species, the hyperspectral imager distinguishes foam (EPS, PU), plastic film and composite materials through the spectral reflectance characteristics of the 400-2500nm band, and the weight-volume density analyzer calculates the density of garbage and separates lightweight foam (density ≤30kg / m 3 ) with heavy concrete.

[0019] Furthermore, the plastic recycling unit includes an optical sorter and a twin-screw extruder granulator. The optical sorter sorts plastic bottles according to resin type (PET, PE), the twin-screw extruder granulator generates recycled plastic particles, the wood / foam recycling unit crushes the wood and hot-presses it into biomass fuel, and the foam is dissolved by solvent to recover polystyrene (PS) raw materials.

[0020] Furthermore, the air flotation separation device utilizes the difference in air flow velocity to separate light materials (such as plastic film) and heavy materials (such as metal chips) into layers.

[0021] Furthermore, the industrial camera array captures the shape of garbage from multiple angles, including size, color, and texture, to generate 3D point cloud data. The deep learning model uses a classification model (such as ResNet-50) trained with a convolutional neural network (CNN) to determine the category of garbage in real time.

[0022] Furthermore, the six-axis collaborative robotic arm is equipped with an adaptive gripper, which includes a magnetic gripper and a vacuum suction cup. The magnetic gripper is used for metal, and the vacuum suction cup is used for film. The adaptive gripper has a response time of ≤0.5 seconds. The path planning algorithm combines the garbage position and the conveyor belt speed to dynamically optimize the grasping path and avoid collisions.

[0023] Furthermore, the edge computing gateway processes sensor data in real time to reduce cloud latency, and the PLC control system coordinates the synchronous operation of sensors, robotic arms, and conveyor belts.

[0024] The beneficial effects of the present invention are as follows: the present invention provides a shipbuilding garbage disposal system and a disposal method thereof, which have the following advantages:

[0025] 1. It can automatically and accurately sort four types of solid waste, separating recyclables from non-recyclables, so as to efficiently recycle metal, plastic, and wood recyclables. It can also sort inert waste, combustible waste, hazardous waste, and non-recyclables by category, so that shipbuilding waste can be quickly classified for separate reuse and treatment;

[0026] 2. Automated sorting and grading of recyclables and non-recyclables can be achieved through multimodal sensing and analytical decision-making, avoiding misjudgments in traditional manual sorting;

[0027] 3. Dynamically optimize the sorting path based on the garbage form and physical characteristics, thereby effectively improving garbage disposal efficiency;

[0028] 4. Recycled metals can be directly used in the manufacture of ship structures, forming an "in-factory-out-of-factory" closed loop of resources. Recycled particles can be used for ship pipes or interior parts. Wood waste can be compressed into biomass fuel to replace traditional fossil energy. Concrete and bricks can be crushed and used as roadbed aggregate or recycled building materials. Construction waste can be reused to reduce landfill volume, significantly improving resource utilization efficiency.

[0029] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and to implement it according to the contents of the description, the following preferred embodiments of the present invention are described in detail with reference to the accompanying drawings. The specific implementation methods of the present invention are given in detail by the following embodiments and the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0031] Figure 1 A schematic diagram of a shipbuilding waste treatment system and a treatment method thereof provided in one embodiment of the present invention;

[0032] Figure 2 A flow chart of a shipbuilding garbage treatment system and treatment method provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0033] The following is combined with Figure 1-2The principles and features of the present invention are described, and the examples given are only for the purpose of explaining the present invention and are not intended to limit the scope of the present invention. The following paragraphs describe the present invention in more detail by way of example with reference to the accompanying drawings. The advantages and features of the present invention will become more apparent from the following description and claims. It should be noted that the drawings are in a very simplified form and are not in exact proportions, and are only used for the purpose of conveniently and clearly assisting in illustrating the embodiments of the present invention.

[0034] It should be noted that when a component is referred to as being "fixed to" another component, it may be directly on the other component or there may also be a central component. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may also be a central component. When a component is considered to be "set on" another component, it may be directly set on the other component or there may also be a central component. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0035] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention pertains. The terms used in this specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0036] like Figure 1-2 As shown, the present invention provides a shipbuilding waste treatment system, including an intelligent sorting module, a recyclable material processing module, a non-recyclable material processing module and a central management and control platform. The intelligent sorting module includes a multimodal sensing unit and a visual sorting robot arm. The recyclable material processing module includes a metal recycling unit, a plastic recycling unit, and a wood / foam recycling unit. The non-recyclable material processing module includes an inert waste processing line, a combustible waste incineration unit, and a hazardous waste temporary storage warehouse. The central management and control platform includes a digital twin system and a compliance management module.

[0037] The multimodal sensing unit includes a metal identification submodule, a material sorting submodule, and a physical property detection submodule;

[0038] The metal identification submodule includes an electromagnetic induction sensor and laser-induced breakdown spectroscopy (LIBS), the material sorting submodule includes a near-infrared spectroscopy (NIR) sensor and a hyperspectral imager, and the physical property detection submodule includes a weight-volume density analyzer and an air flotation separation device;

[0039] The visual sorting robot arm includes a visual recognition system, a robot arm sorting system and a data interaction and control unit. The data interaction and control unit includes an industrial camera array and a deep learning model. The robot arm sorting system includes a six-axis collaborative robot arm and a path planning algorithm. The data interaction and control unit includes an edge computing gateway and a PLC control system.

[0040] Preferably, the electromagnetic induction sensor is used to detect the conductivity and magnetism of metals, thereby being able to distinguish between magnetic metals such as iron and steel and non-magnetic metals such as aluminum and copper.

[0041] Preferably, the metal regeneration unit includes an eddy current separator, a scrap steel crusher and an electric arc furnace. The eddy current separator separates non-ferrous metals aluminum and copper, and the sorted metal shells are smelted and regenerated into ship steel through the scrap steel crusher and the electric arc furnace.

[0042] Preferably, the near infrared spectroscopy (NIR) sensor identifies organic materials and wood species, the hyperspectral imager distinguishes foam (EPS, PU), plastic film and composite materials through the spectral reflectance characteristics of the 400-2500nm band, and the weight-volume density analyzer calculates the density of garbage and separates lightweight foam (density ≤ 30kg / m 3 ) with heavy concrete.

[0043] Preferably, the plastic recycling unit includes an optical sorter and a twin-screw extruder granulator. The optical sorter sorts plastic bottles according to resin type (PET, PE), the twin-screw extruder granulator generates recycled plastic particles, the wood / foam recycling unit crushes the wood and hot presses it into biomass fuel, and the foam is dissolved by solvent to recover polystyrene (PS) raw materials.

[0044] Preferably, the air flotation separation device utilizes the difference in air flow velocity to separate light materials (such as plastic film) and heavy materials (such as metal chips) into layers.

[0045] Preferably, an industrial camera array captures the shape of garbage from multiple angles, including size, color, and texture, to generate 3D point cloud data, and a deep learning model uses a classification model (such as ResNet-50) trained with a convolutional neural network (CNN) to determine the category of garbage in real time.

[0046] Preferably, the six-axis collaborative robot arm is equipped with an adaptive gripper, which includes a magnetic gripper and a vacuum suction cup. The magnetic gripper is used for metal, and the vacuum suction cup is used for film. The response time of the adaptive gripper is ≤0.5 seconds. The path planning algorithm combines the garbage position and the conveyor belt speed to dynamically optimize the grasping path and avoid collisions.

[0047] Preferably, the edge computing gateway processes sensor data in real time to reduce cloud latency, and the PLC control system coordinates the synchronous operation of sensors, robotic arms, and conveyor belts.

[0048] Example 1: Metal scrap sorting (steel cutting scraps)

[0049] S1: Input: Mixed steel chips, aluminum flakes, and plastic debris enter the sorting area through a conveyor belt;

[0050] S2: Multimodal data acquisition: Electromagnetic sensors trigger to determine the presence of metal; LIBS analysis shows an Fe content of 95.2%, identifying it as low-carbon steel; hyperspectral imaging excludes metal with plastic attached to the surface;

[0051] S3: Classification decision: The classification label is "Recyclable-Carbon Steel" and the priority is set to high;

[0052] S4: Execution: The magnetic gripper grabs the steel chips and puts them into the feed port of the metal crusher;

[0053] S5: Data synchronization sorting results: sorting efficiency 200kg / h, metal recovery purity 99.3%; Example 2: Plastic film and foam sorting

[0054] S1: Input: mixed waste including PE film, EPS foam, and wood chips;

[0055] S2: Multimodal data acquisition: NIR identifies the characteristic absorption peak of PE (1720nm), hyperspectral imaging distinguishes EPS (honeycomb structure), and an air flotation device blows PE film and EPS foam to the upper lightweight area;

[0056] S3: Classification decision: the classification labels are “recyclable-PE film” and “recyclable-EPS foam”;

[0057] S4: Execution: The vacuum suction cup grabs the PE film and brings it to the hot melt machine, and the pneumatic push rod pushes the EPS into the solvent melting tank;

[0058] S5: Data synchronization sorting results: PE sorting speed 150 pieces / min, EPS recovery rate 98%.

[0059] Example 3: Sorting of construction waste (concrete blocks)

[0060] S1: Input: mixed concrete blocks, bricks, metal bolts;

[0061] S2: Multimodal data acquisition: Density analyzer determines the density of the concrete block to be 2300 kg / m 3 ,LIBS detects no metal signal, and the vision system recognizes the geometric shape as an irregular block;

[0062] S3: Classification decision: the classification label is “non-recyclable-inert waste”;

[0063] S4: Execution: The robotic arm grabs the concrete block and puts it into the jaw crusher to crush it into aggregate;

[0064] S5: Data synchronization sorting results: The aggregate particle size qualification rate (5-40mm) reached 92%, which is used for shipyard road hardening.

[0065] Example 4: Sorting and recycling of wood packaging materials (wooden box waste)

[0066] S1: Input: Mixed garbage: Pine wood box fragments (including nails), plywood fragments, and plastic strapping enter the sorting area through conveyor belts;

[0067] S2: Multimodal data acquisition: Electromagnetic sensors detect iron nails (ferrous metal signals), triggering a secondary LIBS scan to confirm the presence of iron. NIR spectroscopy identifies pine wood (cellulose characteristic peak at 1430 nm) and plywood (urea-formaldehyde resin peak at 1680 nm). Hyperspectral imaging distinguishes wood chips from plastic strapping (reflectivity differences).

[0068] S3: Classification decision: the classification labels are “recyclable-pine wood (contains metal contamination)”, “recyclable-plywood”, and “recyclable-PP plastic tape”;

[0069] S4: Sorting Execution: A robotic arm grabs pine wood chips and brings them to the wood processing line. Metal separation rollers automatically screen out nails. Plywood fragments are sent to a hot press via a pneumatic push rod. After being crushed, they are mixed with bio-resin and pressed into marine fireproof board substrates. Plastic strapping tapes are optically sorted and then sent to a granulator.

[0070] S5: Data synchronization sorting results: wood recovery rate 92%, nail removal rate 100%, recycled fireproof board density 0.8g / cm 3 .

[0071] Example 5: Sorting of mixed household waste (food scraps + plastic bottles)

[0072] S1: Input mixed waste: food scraps (70% moisture content), PET plastic bottles (with labels), HDPE bottle caps, and metal cans;

[0073] S2: Multimodal data acquisition: Gravimetric-volumetric analysis to identify low-density organic matter (food residue) and high-density plastic bottles, NIR spectroscopy to identify PET bottles (characteristic peak 1712nm) and HDPE bottle caps (peak 1460nm), and electromagnetic induction to detect aluminum cans.

[0074] S3: Classification decision: the classification labels are “organic waste-food waste”, “recyclable-PET”, “recyclable-HDPE”, and “recyclable-aluminum”;

[0075] S4: Sorting execution: The air flotation device blows light food residues into the anaerobic fermentation tank, and plastic bottles and cans enter the robotic arm operation area. The vacuum suction cup grabs the PET bottles and takes them to the label removal and washing line. The bottle caps and cans enter the corresponding recycling channels respectively.

[0076] S5: Data synchronization sorting results: organic waste biogas production 0.5m 3 / kg (TS), the recycled purity of plastic bottles is 99.2%, and the energy consumption of aluminum can smelting is 95% lower than that of primary aluminum (in compliance with ISO 14040 life cycle assessment). Wet waste pretreatment: flotation sorting avoids the high water consumption of traditional water washing. Bottle cap-bottle separation: Utilizing the density difference between the bottle cap and the bottle body, automatic separation is achieved through centrifugal sorting.

[0077] Example 6: Hazardous waste sorting (asbestos-containing insulation material residues)

[0078] S1: Input mixed waste: asbestos insulation board fragments (particle size 10-50mm), ordinary rock wool debris, metal fasteners;

[0079] S2: Multimodal data acquisition: LIBS detected characteristic asbestos elements (the ratio of magnesium to silicon conforms to the chemical formula of chrysotile Mg3(Si2O5)(OH)4), and hyperspectral imaging identified fiber structure (asbestos fiber aspect ratio >10:1);

[0080] S3: Classification decision: the classification labels are “Hazardous waste - asbestos”, “Recyclable - rock wool”, and “Recyclable - metal”;

[0081] S4: Sorting execution: The robotic arm uses a closed negative pressure suction head to grab asbestos fragments, directly puts them into HDPE sealed bags and attaches RFID tags. Ordinary rock wool and metal parts enter the regular recycling line;

[0082] S5: Data synchronization sorting results: asbestos sorting efficiency 50kg / h, sealed packaging leakage rate <0.01%, RFID tags are uploaded to the government hazardous waste supervision platform in real time to achieve full-link traceability, contactless sorting: negative pressure adsorption prevents asbestos fiber escape, and the operation area maintains a negative pressure environment of -20Pa, chemical fingerprint library: LIBS has a built-in 3,000 mineral spectral database, and the asbestos identification accuracy rate is 99.9%.

[0083] Example 7: Sorting of composite materials (glass fiber reinforced plastic waste)

[0084] S1: Input mixed garbage: discarded fiberglass reinforced plastic (GFRP) hull fragments, aluminum alloy brackets, epoxy resin residues;

[0085] S2: Multimodal data acquisition: LIBS detects characteristic peaks of silicon (glass fiber) and carbon in epoxy resin in FRP, and hyperspectral imaging identifies the curing state of the resin (difference in reflectivity of uncured epoxy resin);

[0086] S3: Classification decision: the classification labels are “non-recyclable-thermosetting composite materials”, “recyclable-aluminum alloys”, and “hazardous waste-uncured resins”;

[0087] S4: Sorting execution: Aluminum alloy brackets enter the metal recycling line, fiberglass fragments are put into the pyrolysis furnace (500℃ nitrogen environment cracking and recycling glass fiber) by the robotic arm, and uncured resin seals are handed over to the hazardous waste treatment plant;

[0088] S5: Data synchronization sorting results: glass fiber recovery rate 85%, strength retention rate ≥ 80%, pyrolysis oil and gas calorific value 25MJ / m 3 , used for system self-powering, low-temperature pyrolysis technology: controlling temperature to avoid degradation of glass fiber performance, epoxy resin status determination: hyperspectral imaging combined with resin curing degree model to distinguish hazardous waste from inert materials.

[0089] Example 8: Electronic waste sorting (waste from ship equipment dismantling)

[0090] S1: Input mixed waste: waste circuit boards, copper cables, plastic casings, lead solder;

[0091] S2: Multimodal data acquisition: LIBS detection of gold (Au), copper (Cu), and lead (Pb) elements in circuit boards, and X-ray fluorescence (XRF) quantitative analysis of heavy metal content (Pb > 1000 ppm is considered hazardous waste);

[0092] S3: Classification decision: the classification labels are “Hazardous waste - lead solder”, “Recyclable - copper”, and “Recyclable - engineering plastics”;

[0093] S4: Sorting execution: Lead-containing solder is transferred to hazardous waste containers by a robotic arm, copper cables enter the eddy current separator for purification (copper purity 99.9%), and plastic casings are recycled into marine cable sheaths after flame retardant testing;

[0094] S5: Data synchronization sorting results: lead pollution control reaches lead content <1000ppm, recycled sheath plastic oxygen index ≥32% (in line with the fire protection requirements of marine cables), heavy metal online detection: XRF and LIBS are combined to achieve ppm-level heavy metal rapid screening, flame retardant retention process: low-temperature granulation (180℃) to avoid decomposition of brominated flame retardants.

[0095] It should be noted that, in this document, relational terms such as first and second are used solely to distinguish one entity or operation from another, and do not necessarily require or imply any actual relationship or order between these entities or operations. Matters not described in detail in this specification are well known to those skilled in the art.

[0096] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any ordinary technician in this industry can smoothly implement the present invention as shown in the drawings and described above. However, any equivalent changes, modifications and evolutions made by technicians familiar with this profession without departing from the scope of the technical solution of the present invention using the technical content disclosed above are all equivalent embodiments of the present invention. At the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essential technology of the present invention are still within the scope of protection of the technical solution of the present invention.

Claims

1. A shipbuilding waste treatment system, comprising an intelligent sorting module, a recyclable material processing module, a non-recyclable material processing module, and a central control platform, characterized by: The intelligent sorting module includes a multimodal sensing unit and a visual sorting robotic arm. The recyclables processing module includes a metal recycling unit, a plastic recycling unit, and a wood / foam recycling unit. The non-recyclables processing module includes an inert waste processing line, a combustible waste incineration unit, and a hazardous waste temporary storage warehouse. The central management and control platform includes a digital twin system and a compliance management module. The multimodal sensing unit includes a metal identification submodule, a material sorting submodule, and a physical property detection submodule; The metal identification submodule includes an electromagnetic induction sensor and a laser-induced breakdown spectroscopy (LIBS), the material sorting submodule includes a near-infrared spectroscopy (NIR) sensor and a hyperspectral imager, and the physical property detection submodule includes a weight-volume density analyzer and an air flotation separation device; The visual sorting robot arm includes a visual recognition system, a robot arm sorting system and a data interaction and control unit, the data interaction and control unit includes an industrial camera array and a deep learning model, the robot arm sorting system includes a six-axis collaborative robot arm and a path planning algorithm, and the data interaction and control unit includes an edge computing gateway and a PLC control system; The processing method includes the following steps: S1: Waste input and initial screening: The waste is evenly laid on the conveyor belt by a vibrating feeder at a conveying speed of 1-2m / s, and metal waste is initially separated through a metal detection gate; S2: Multimodal data acquisition: LIBS scans metal composition, NIR identifies plastic / wood types, hyperspectral imaging distinguishes foams from composite materials, gravimetric-volume analyzer calculates density, and air flotation device pre-separates light / heavy materials; S3: Classification decision: The vision system generates a 3D point cloud model, and the CNN model outputs classification labels such as "304 stainless steel scraps" and "HDPE plastic film." The decision system integrates the sensor data to determine whether the waste is recyclable or non-recyclable, and the specific treatment path; S4: Robotic arm sorting execution: The robotic arm grabs the target garbage according to the path planning and puts it into the corresponding collection box according to the category. Recyclable metal is sent to the metal recycling unit conveyor belt, recyclable plastic is sent to the plastic granulator feed port, non-recyclable concrete is sent to the construction waste crusher, and hazardous waste is sent to the sealed hazardous waste container; S5: Data synchronization sorting results: The sorting results (such as missorting rate and processing speed) are uploaded to the central management platform, and the model automatically updates the weight parameters.

2. A shipbuilding garbage disposal system according to claim 1, characterized in that: The electromagnetic induction sensor detects the electrical conductivity and magnetism of metal.

3. A shipbuilding garbage disposal system according to claim 1, characterized in that: The metal regeneration unit includes an eddy current separator, a scrap steel crusher and an electric arc furnace. The eddy current separator separates non-ferrous metals aluminum and copper, and the sorted metal shells are smelted and regenerated into shipbuilding steel through the scrap steel crusher and the electric arc furnace.

4. A shipbuilding garbage disposal system according to claim 1, characterized in that: The near-infrared spectroscopy (NIR) sensor identifies organic materials and wood species. The hyperspectral imager distinguishes foam (EPS, PU), plastic film and composite materials through the spectral reflectance characteristics of the 400-2500nm band. The weight-volume density analyzer calculates the density of garbage and separates lightweight foam (density ≤30kg / m 3 ) with heavy concrete.

5. A shipbuilding garbage disposal system according to claim 1, characterized in that: The plastic recycling unit includes an optical sorter and a twin-screw extruder granulator. The optical sorter sorts plastic bottles according to resin type (PET, PE), the twin-screw extruder granulator generates recycled plastic particles, and the wood / foam recycling unit crushes the wood and hot-presses it into biomass fuel, and the foam is dissolved by solvent to recover polystyrene (PS) raw materials.

6. A shipbuilding garbage disposal system according to claim 1, characterized in that: The air flotation separation device utilizes the difference in air flow velocity to separate light materials (such as plastic film) and heavy materials (such as metal chips) into layers.

7. A shipbuilding garbage disposal system according to claim 1, characterized in that: The industrial camera array captures the shape of garbage from multiple angles, including size, color, and texture, to generate 3D point cloud data. The deep learning model uses a classification model (such as ResNet-50) trained with a convolutional neural network (CNN) to determine the category of garbage in real time.

8. The shipbuilding garbage disposal system according to claim 1, characterized in that: The six-axis collaborative robot arm is equipped with an adaptive gripper, which includes a magnetic gripper and a vacuum suction cup. The magnetic gripper is used for metal, and the vacuum suction cup is used for film. The path planning algorithm combines the garbage position and the conveyor belt speed to dynamically optimize the grasping path.

9. The shipbuilding garbage disposal system according to claim 1, characterized in that: The edge computing gateway processes sensor data in real time to reduce cloud latency, and the PLC control system coordinates the synchronous operation of sensors, robotic arms, and conveyor belts.

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