Deep-sea mining system

Abstract

The invention provides a deep-sea mining system, and relates to the technical field of deep-sea mining. The deep-sea mining system comprises a decision-making layer, the decision-making layer is connected with a coordination layer through a quantum encryption underwater acoustic communication module, the coordination layer is connected with an execution layer through a bionic tentacle electromechanical interface, and the execution layer is connected with a compensation layer through an ecological data bus; the decision-making layer comprises a phase resource management module which comprises a marine rhythm analysis unit, an ore deposit respiration model engine and a mining window decision-making device; the biological contract agreement module comprises a microorganism symbiotic culture cabin, a sound wave induction generator and a tentacle mechanical learning unit; the coordination layer comprises a dynamic topology network which comprises a cluster self-organizing controller, a real-time damage evaluation unit and a topology reconstruction algorithm library. Through collaborative design of the decision-making layer, the coordination layer, the execution layer and the compensation layer, intelligent and efficient deep-sea mining is achieved, and the mining efficiency and the resource utilization rate are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of deep sea mining, in particular to a deep sea mining system. Background Art

[0002] Deep-sea mining refers to the mining of mineral resources in the deep sea. The deep sea is rich in mineral resources, such as polymetallic nodules, cobalt-rich crusts, polymetallic sulfides, etc. Polymetallic nodules are widely distributed on the deep seabed and are rich in manganese, nickel, cobalt, copper and other metals; cobalt-rich crusts are attached to hard substrates such as seamounts; polymetallic sulfides are mainly found in seafloor hydrothermal activity areas. Deep-sea mining is carried out with the help of various advanced technical equipment, including underwater robots, mining vehicles, etc.

[0003] Traditional mining methods have caused serious damage to the marine ecosystem and lack an effective ecological compensation mechanism, resulting in damage to the seabed habitat and a decline in biodiversity. Secondly, mining efficiency is low, relying on heavy machinery and equipment, high energy consumption and high cost, making it difficult to achieve large-scale sustainable mining. In addition, existing technologies have poor adaptability to dynamic changes in the marine environment (such as ocean currents, water temperature, and water pressure), and are susceptible to environmental interference during the mining process, resulting in unstable mining efficiency. Finally, there is a lack of intelligent decision-making and collaborative control, and the autonomy and coordination of mining units are insufficient, making it difficult to cope with the complex and changeable deep-sea environment. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a deep-sea mining system, which solves the problems of low mining efficiency and high cost in the prior art.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A deep-sea mining system includes a decision-making layer, the decision-making layer is connected to the coordination layer through a quantum encryption hydroacoustic communication module, the coordination layer is connected to the execution layer through a bionic touch-hand electromechanical interface, and the execution layer is connected to the compensation layer through an ecological data bus;

[0006] The decision-making layer includes:

[0007] Phase resource management module: including ocean rhythm analysis unit, ore deposit breathing model engine, and mining window decision maker;

[0008] Biological contract protocol module: including microbial symbiotic culture chamber, acoustic wave induction generator, and tentacle mechanical learning unit;

[0009] The coordination layer includes a dynamic topology network: including a cluster self-organizing controller, a real-time damage assessment unit, and a topology reconstruction algorithm library;

[0010] The execution layer includes a modular jellyfish unit cluster: including a bionic umbrella cover (energy collection), strain silicone tentacles (sensing + collection), and a symbiotic algae cabin (energy supply);

[0011] The compensation layer includes an ecological feedback mechanism: a reef-based generator, a mineral regeneration catalytic unit, and a sediment stabilization field.

[0012] Preferably, the ocean rhythm analysis unit is connected to the real-time data of the certified nodes of the International Ocean Observation Network, and a three-dimensional mining time window model is established through wavelet transformation, with a prediction accuracy of ±15 minutes.

[0013] Preferably, the ore deposit breathing model engine establishes a growth model based on fractal geometry, sets an unmineable ecological lung lobe that accounts for 40% of the mining area, and the ecological lung lobe maintains the material exchange of the ore deposit through the fractal pore structure and retains manganese nodules with a diameter of ≥50cm as regeneration seeds.

[0014] Preferably, the decision logic of the mining window decision maker must simultaneously meet the following conditions: (i) the moon phase is in the waning moon; (ii) the ocean current speed is ≤0.3 m / s; and (iii) the coral larvae release period, and mining is started within 12 hours after the trigger instruction.

[0015] Preferably, the microbial symbiotic culture chamber cultures Shewane lla bacteria and methanogenic archaea symbionts under a high-pressure environment of 20-30 MPa, and through CRISPR-Cas9 gene editing, it secretes Fe3O4 magnetic nanoparticles, and the metal ion enrichment efficiency is improved by 220±5%.

[0016] Preferably, the acoustic wave induction generator emits 18kHz pulse acoustic waves to stimulate the tubeworm structure, forming an adjustable mineral transport pipeline with a wall thickness of 0.5 mm to 3 mm and a pipe diameter error of ≤5%.

[0017] Preferably, the cluster self-organizing controller adopts an improved Boids algorithm, and the improved Boids algorithm introduces an environmental disturbance compensation factor β, which is calculated based on the ocean current velocity v, water temperature T and water pressure P in the current mining area, and the calculation formula is:

[0018]

[0019] where v max is the historical maximum ocean current speed in this area, T avg and P avg are the average water temperature and average water pressure in the area, T range and P range are the range of change of water temperature and water pressure in the area. In the algorithm, the speed adjustment formula of each mining unit adds one more item on the basis of the original Boids algorithm:

[0020]

[0021] in, The speed change vector caused by environmental disturbance is used to adjust the behavior of the mining unit through the compensation factor to ensure that the mining units work together efficiently in a complex marine environment.

[0022] Preferably, the bionic umbrella cover is a three-layer gradient structure: the outer layer is chitosan-based bioplastic (thickness 1.2 mm), the middle layer is a piezoelectric fiber array (energy conversion rate 38%), and the inner layer is a genetically modified algae culture membrane (photosynthetic efficiency 23%).

[0023] Preferably, the reef foundation generator adopts magnesium phosphate cement gradient pressure curing 3D printing technology, mixed with 30% crushed shell material to form a porous structure with a pore size of 50-200 μm, and the printing speed is 0.8m 3 / h, mineral-reef conversion ratio 1:0.3.

[0024] Preferably, the mineral regeneration catalytic unit adopts biomineralization catalytic technology based on transition metal sulfide MoS2 / ZnS heterojunction. In a 4°C seawater environment, the catalyst adsorbs metal ions such as manganese, nickel and copper in seawater and promotes chemical reactions with carbonate and hydroxide anions to form polymetallic nodules, with a catalytic efficiency of 1.2 kg / (m 2 ·d), thereby promoting the natural regeneration of minerals and ensuring the sustainable use of mineral resources.

[0025] The present invention provides a deep-sea mining system. It has the following beneficial effects:

[0026] The present invention provides a deep-sea mining system. The present invention introduces an ecological feedback mechanism, uses a reef base generator, a mineral regeneration catalytic unit and a sediment stabilization field for ecological compensation, and minimizes damage to the marine ecosystem. In addition, the system adopts a modular jellyfish unit cluster and a bionic tentacle design, which has strong adaptability and can work stably in a complex marine environment. Finally, through quantum encrypted underwater acoustic communication and an improved Bo ids algorithm, efficient coordination and autonomous control of the mining units are achieved, ensuring the stability and reliability of the system in a dynamic environment. Therefore, the system of the present invention uses a phase resource management module and a biological contract protocol module of the decision layer, and uses an ocean rhythm analysis unit, a mineral deposit breathing model engine and a mining window decider to accurately predict the optimal mining time window, ensure that the mining activities are highly matched with the dynamic changes of the marine environment, and significantly improve the mining efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] like Figure 1 As shown, the embodiment of the present invention provides a deep-sea mining system, the decision layer is connected to the coordination layer through a quantum encryption hydroacoustic communication module, and the coordination layer is connected to the execution layer through a bionic touch phone interface. The execution layer is connected to the compensation layer through an ecological data bus to feedback ecological data in real time.

[0030] Implementation at the decision-making level

[0031] Phase Resource Management Module

[0032] Ocean rhythm analysis unit: access to the real-time data of the certified nodes of the International Ocean Observation Network, use the wavelet transform algorithm, select the Daubechies wavelet basis function, and establish a three-dimensional mining time window model. For example, by analyzing the tide, ocean current and water temperature data of the target sea area, the optimal mining time window within the next 72 hours is determined. Mineral deposit breathing model engine: based on fractal geometry, the fractal dimension D = 2.3, establish a mineral deposit growth model, and set an unminable ecological lung lobe that accounts for 40% of the mining area. The ecological lung lobe maintains the exchange of mineral deposit materials through the fractal pore structure, the porosity is set to 35%, and the manganese nodules with a diameter of ≥50cm are retained as regeneration seeds. For example, in a 100 square kilometer mining area, 40 square kilometers are designated as the ecological lung lobe area to protect the manganese nodules therein.

[0033] Mining window decider: The decision logic must meet the following conditions at the same time:

[0034] The moon phase is in the waning moon: determine the moon phase through the astronomical calendar, and record the time when the waning moon appears. Ocean current speed ≤ 0.3m / s: use ocean current monitoring equipment to monitor the ocean current speed in real time. Coral larvae release period: determine the coral larvae release period through long-term ecological monitoring (such as June-July each year). Start mining within 12 hours after the trigger command.

[0035] Bio-contract protocol module

[0036] Microbial symbiotic culture chamber: Cultivate Shewane lla bacteria and methanogens in a high-pressure environment of 20-30MPa. Through CRISPR-Cas9 gene editing, the target genes are mtrC and omcA, which secrete Fe3O4 magnetic nanoparticles. Acoustic wave induction generator: emits 18kHz pulse sound waves (pulse width 1ms, repetition frequency 10Hz) to stimulate the tubeworm structure to form an adjustable mineral transport pipeline with a tube wall thickness of 0.5-3mm. Tentacle mechanical learning unit: Use deep learning algorithms, convolutional neural networks CNN, to train bionic tentacles so that they can autonomously identify and collect minerals in complex environments.

[0037] Coordination layer implementation

[0038] Dynamic topology network

[0039] Cluster self-organizing controller: Using the improved Boids algorithm, the environmental disturbance compensation factor β is introduced, which is calculated based on the ocean current velocity v, water temperature T and water pressure P in the current mining area. For example, when the ocean current velocity v = 0.2m / s, water temperature T = 4℃, and water pressure P = 20MPa, the compensation factor β = 0.85, and the speed adjustment formula of the mining unit is:

[0040] Δv=β·v env

[0041] Among them, v env is the velocity change vector caused by environmental disturbance.

[0042] Real-time damage assessment unit: Through a sensor network, including pressure sensors, temperature sensors and vibration sensors, the status of the mining unit is monitored in real time. When an abnormality is detected, an alarm is triggered and the repair procedure is initiated. Topology reconstruction algorithm library: Di jkstra algorithm is used for path planning to ensure that the mining units work efficiently and collaboratively in complex environments.

[0043] Executive level implementation

[0044] Modular jellyfish unit cluster

[0045] Bionic umbrella cover: adopts a three-layer gradient structure: outer layer: chitosan-based bioplastic (thickness 1.2mm), with high strength and corrosion resistance. Middle layer: piezoelectric fiber array (energy conversion rate 38%), converting mechanical energy into electrical energy. Inner layer: genetically modified algae culture membrane (photosynthetic efficiency 23%), providing energy through photosynthesis. Strain silicone tentacles: using highly elastic silicone material (elastic modulus 0.5MPa), built-in pressure sensor and temperature sensor, able to sense and collect minerals. Symbiotic algae cabin: cultivate genetically modified algae Chlorella vulgaris, and provide energy for jellyfish units through photosynthesis.

[0046] Compensation layer implementation

[0047] Ecological feedback mechanism

[0048] Reef foundation generator: Using magnesium phosphate cement gradient pressure curing 3D printing technology, mixed with 30% crushed shell material to form a porous structure with a pore size of 50-200μm, the printing speed is 0.8m 3 / h, mineral-reef conversion ratio 1:0.3. Mineral regeneration catalytic unit: using biomineralization catalytic technology based on transition metal sulfide MoS2 / ZnS heterojunction, in 4℃ seawater environment, the catalytic efficiency reaches 1.2kg / (m 2 ·d). Sediment stabilization field: Through the sonic generator, the frequency is 10kHz, the power is 100W, to stabilize the seabed sediments and prevent the sediments from spreading during the mining process.

[0049] The present invention uses a three-dimensional mining time window model established by a wavelet transform algorithm, and combines multiple conditions such as the moon phase, ocean current speed, and coral larvae release period to ensure that the impact of mining activities on the ecology is minimized. Secondly, through the reef base generator, mineral regeneration catalytic unit, and sediment stabilization field of the compensation layer, ecological restoration and resource regeneration of the mining area are achieved. For example, the reef base generator uses magnesium phosphate cement gradient pressure curing 3D printing technology to mix crushed shell materials to form a porous structure, and the printing speed reaches 0.8m 3 / h, the mineral-reef conversion ratio is 1:0.3, which effectively promotes the recovery of the seabed ecosystem. In addition, the mineral regeneration catalytic unit is based on the biomineralization catalytic technology of MoS2 / ZnS heterojunction, and the catalytic efficiency in 4℃ seawater environment is 1.2kg / (m 2 ·d), significantly accelerating the natural regeneration process of polymetallic nodules. The system adopts a modular jellyfish unit cluster at the execution layer, and realizes efficient and low-energy mineral collection through the design of bionic umbrella cover, strained silicone tentacles and symbiotic algae cabin. For example, the three-layer gradient structure of the bionic umbrella cover not only has high strength and corrosion resistance, but also can convert mechanical energy and light energy into electrical energy, providing continuous energy support for the mining unit. The system realizes efficient coordination and autonomous control of mining units through the dynamic topological network and improved Boids algorithm of the coordination layer. For example, the environmental disturbance compensation factor β is introduced to dynamically adjust the behavior of the mining unit according to the ocean current speed, water temperature and water pressure to ensure its stability and efficiency in complex marine environments. The system realizes safe and efficient data transmission between various levels through quantum encrypted underwater acoustic communication and bionic tentacles and electromechanical interfaces, ensuring the overall operation efficiency and reliability of the system.

[0050] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A deep sea mining system, comprising a decision layer, characterized in that: The decision-making layer is connected to the coordination layer through a quantum encrypted underwater acoustic communication module, the coordination layer is connected to the execution layer through a bionic touch-hand electromechanical interface, and the execution layer is connected to the compensation layer through an ecological data bus; The decision-making layer includes: Phase resource management module: including ocean rhythm analysis unit, ore deposit breathing model engine, and mining window decision maker; Biological contract protocol module: including microbial symbiotic culture chamber, acoustic wave induction generator, and tentacle mechanical learning unit; The coordination layer includes a dynamic topology network: including a cluster self-organizing controller, a real-time damage assessment unit, and a topology reconstruction algorithm library; The execution layer includes a modular jellyfish unit cluster: including a bionic umbrella cap, strained silicone tentacles, and a symbiotic algae cabin; The compensation layer includes an ecological feedback mechanism: a reef-based generator, a mineral regeneration catalytic unit, and a sediment stabilization field.

2. A deep sea mining system according to claim 1, characterized in that: The ocean rhythm analysis unit is connected to the real-time data of the certified nodes of the international ocean observation network, and a three-dimensional mining time window model is established through wavelet transformation.

3. A deep sea mining system according to claim 1, characterized in that: The ore deposit breathing model engine establishes a growth model based on fractal geometry, sets up an unmineable ecological lung lobe that accounts for 40% of the mining area, and maintains ore deposit material exchange through fractal pore structure and retains manganese nodules with a diameter of ≥50cm as regeneration seeds.

4. A deep sea mining system according to claim 1, characterized in that: The decision logic of the mining window decision maker must simultaneously meet the following requirements: (i) the moon phase is in the waning phase, (ii) the ocean current speed is ≤0.3 m / s, and (iii) the coral larvae release period. Mining must be initiated within 12 hours after the trigger command is issued.

5. A deep sea mining system according to claim 1, characterized in that: The microbial symbiotic culture chamber cultivates Shewanella bacteria and methanogenic archaea symbionts under a high-pressure environment of 20-30 MPa, and enables them to secrete Fe3O4 magnetic nanoparticles through CRISPR-Cas9 gene editing.

6. A deep sea mining system according to claim 1, characterized in that: The sound wave induction generator emits 18kHz pulse sound waves to stimulate the tube worm structure, forming an adjustable mineral transportation pipeline with a wall thickness of 0.5 mm to 3 mm.

7. A deep sea mining system according to claim 1, characterized in that: The cluster self-organizing controller adopts an improved Boids algorithm, which introduces an environmental disturbance compensation factor β. The compensation factor β is calculated based on the ocean current velocity v, water temperature T and water pressure P in the current mining area. The calculation formula is: where v max is the maximum ocean current speed in the history of the region, T avg and P avg are the average water temperature and average water pressure in the area, T range and P range are the range of change of water temperature and water pressure in the area. In the algorithm, the speed adjustment formula of each mining unit adds one more item on the basis of the original Boids algorithm: in, The speed change vector caused by environmental disturbance is used to adjust the behavior of the mining unit through the compensation factor to ensure that the mining units work together efficiently in a complex marine environment.

8. The system according to claim 1, characterized in that: The bionic umbrella cover is a three-layer gradient structure: the outer layer is chitosan-based bioplastic, the middle layer is a piezoelectric fiber array, and the inner layer is a genetically modified algae culture membrane.

9. A deep sea mining system according to claim 1, characterized in that: The reef foundation generator adopts magnesium phosphate cement gradient pressure curing 3D printing technology, mixed with 30% crushed shell material to form a porous structure with a pore size of 50-200μm, and the printing speed is 0.8m 3 / h, mineral-reef conversion ratio 1:0.

3.

10. A deep sea mining system according to claim 1, characterized in that: The mineral regeneration catalytic unit adopts biomineralization catalytic technology based on transition metal sulfide MoS2 / ZnS heterojunction. In a 4°C seawater environment, the catalyst adsorbs metal ions such as manganese, nickel, and copper in seawater and promotes chemical reactions with carbonate and hydroxide anions to form polymetallic nodules, thereby promoting the natural regeneration of minerals.

Images