Bio-substratum substitute laying and recycling method for ecological restoration of deep-sea mining

Abstract

The invention relates to the technical field of deep-sea ecological restoration, in particular to a deep-sea mining ecological restoration biological substratum substitute laying and recycling method which comprises the following steps: S1, material preparation: selecting a biological substratum substitute material with corrosion resistance, high pressure resistance and biocompatibility; s2, deep sea electromagnetic positioning and deviation rectification: automatically adjusting the laying direction and angle; s3, a multi-layer seabed ecology adaptation mechanism, wherein the material release rate, the surface microstructure and the microelement ratio of the substratum are automatically adjusted after laying, so that the requirement of a multi-layer deep sea ecosystem is met; and S4, substratum maintenance: if the phenomenon of sediment coverage or structural deformation is detected, starting a self-cleaning function or finely adjusting the substratum structure. According to the invention, the biological attraction and attachment stability are enhanced, the efficient attachment and diversity restoration effects of various organisms are promoted, and the long-term and effective restoration of a deep sea ecosystem is realized.

Description

Technical Field

[0001] The invention relates to the technical field of deep-sea ecological restoration, and in particular to a method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration. Background Art

[0002] Deep-sea mining activities have attracted much attention due to their value in obtaining scarce resources, but the damage to the deep-sea environment caused by mining activities is also increasingly attracting attention. The deep-sea ecosystem is more fragile and complex than the shallow sea environment. The growth rate of the seabed biological community is slow, and the natural repair capacity after external interference is limited. Therefore, effective ecological restoration after mining activities has become an important task. Among them, the use of biological attachment base substitutes for deployment and restoration is one of the important methods of deep-sea ecological restoration. It aims to promote the attachment of microorganisms, algae and other organisms through artificial structures, and gradually restore the function of the seabed ecosystem.

[0003] However, existing deep-sea ecological restoration technologies have many shortcomings and are difficult to meet the special requirements of the deep-sea environment. Traditional biological attachment base deployment technology lacks precise positioning and dynamic correction capabilities, and is easily caused by the complex ocean currents, terrain and deployment equipment errors in the deep sea, resulting in deployment position deviation, which reduces the accuracy and stability of the restoration. In addition, existing attachment bases usually adopt a single material release mode and microstructure design, which is difficult to meet the biological attachment needs of different ecological levels at different depths, resulting in a single restoration effect and lack of long-term effectiveness. At the same time, existing technologies are insufficient in sediment coverage and structural damage detection and maintenance, and lack real-time self-cleaning and structural adjustment functions, which affects the long-term stability and biocompatibility of restoration materials in the deep-sea environment.

[0004] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art and provide a method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration, thereby ensuring its long-term effectiveness and adaptability in the deep-sea environment, thereby better supporting the sustainable restoration of the deep-sea ecosystem. Summary of the invention

[0005] The invention provides a method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration.

[0006] A method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration comprises the following steps: S1, material preparation: Select biological attachment base substitute materials with corrosion resistance, high pressure resistance and biocompatibility, including titanium alloy, 316L stainless steel, glass fiber reinforced plastic and composite carbon fiber materials; S2, deep-sea electromagnetic positioning and deviation correction: During the deployment process, real-time positioning is performed through the electromagnetic feedback signal of the attachment base, and combined with the automatic deviation correction function, the deviation during deployment is detected in real time, and the deployment direction and angle are automatically adjusted; S3, multi-level seabed ecological adaptation mechanism: after deployment, the material release rate, surface microstructure and trace element ratio of the attachment base are automatically adjusted to meet the needs of the multi-level deep-sea ecosystem, including: S31, Adaptive adjustment of material release: After deployment, the material release rate is automatically adjusted to adapt to the physical and chemical conditions of seawater at different depths; S32, dynamic optimization of surface microstructure: real-time adjustment of the surface microstructure of the attachment substrate to meet the attachment requirements of organisms at different ecological levels; S33, intelligent allocation of trace elements: according to the layered characteristics of deep-sea ecosystems, the proportion of surface trace elements is automatically adjusted to enhance the biological attractiveness of the attachment base and optimize its restoration effect at different ecological levels; S4, attachment base maintenance: After deployment, if sediment coverage or structural deformation is detected, the self-cleaning function will be activated or the attachment base structure will be fine-tuned.

[0007] Optionally, the deep-sea electromagnetic positioning and deviation correction in S2 includes: S21, electromagnetic feedback signal reception and positioning: during the deployment process, the electromagnetic feedback signal receiving device of the attachment base is used to obtain the position signal in real time to determine the current positioning data of the attachment base in the deep sea environment; S22, deviation detection: real-time monitoring of the deviation between the position of the attachment base and the preset target position, and identification of the path deviation generated during the deployment process, including direction deviation and angle deviation; S23, dynamic adjustment of deviation: adjusting the placement direction and angle of the attachment base in real time according to the result of the deviation detection.

[0008] Optionally, the electromagnetic feedback signal receiving and positioning in S21 includes: S211, signal transmission initialization: when the attachment base enters the deployment state, the internal electromagnetic signal transmitting device is started to transmit electromagnetic feedback signals to the surrounding sea area in a direction; S212, feedback signal reception: receiving an electromagnetic feedback signal from the attachment base, and recording the signal strength, direction and time; S213, calculation and analysis of positioning data: based on the received electromagnetic feedback signal, the spatial coordinates and azimuth of the position signal are calculated to generate the current positioning data of the attachment base in real time.

[0009] Optionally, the calculation and analysis of positioning data in S213 includes: S2131, distance calculation: the receiver records the arrival time of the electromagnetic feedback signal, calculates the propagation time difference with the attachment base, and determines the distance from the attachment base to each receiver; S2132, calculating the spatial coordinates of the attachment base: using the known positions of multiple receivers and corresponding distance data, using a triangulation positioning algorithm to calculate the coordinate position of the attachment base in three-dimensional space; S2133, calculating the azimuth and altitude of the attachment base: calculating the azimuth of the attachment base relative to the target position according to the three-dimensional coordinate data of the attachment base and the preset position of the target area (horizontal angle) and altitude angle (vertical angle).

[0010] Optionally, the offset detection in S22 includes: S221, read positioning data: obtain the real-time positioning data of the attachment base, including azimuth and altitude angle ; S222, determine the direction deviation: by azimuth Determine the attachment base Horizontal offset on the plane, if If the azimuth angle deviates from the preset range, it is identified as a horizontal deviation of the attachment base; S223, determine the angle deviation: through the altitude angle Determine the angular deviation of the attachment base in the vertical direction. If the pitch angle deviates from the target range, it is identified as a height deviation of the attachment base.

[0011] Optionally, the dynamic adjustment of the deviation in S23 includes: S231, adjustment command is issued: if the azimuth is detected Deviating from the preset azimuth range, triggering the direction adjustment command, if the altitude angle is detected If the target pitch angle range is deviated, the angle adjustment command will be triggered; S232, Dynamically adjust the direction and angle: According to the adjustment command issued, dynamically adjust the direction and angle of the deployed equipment so that the azimuth Adjust to the preset azimuth range, altitude angle Adjust to the target pitch angle range.

[0012] Optionally, the adaptive adjustment of material release in S31 includes: S311, real-time monitoring of environmental parameters: During the deployment process, the environmental parameters of the seawater, including temperature T, pressure P and salinity S, are monitored in real time through sensors; S312, release rate adjustment calculation: according to the monitored environmental parameters, the optimal release rate of the material is calculated using an adaptive adjustment algorithm ; S313, automatic release rate adjustment: based on the calculated optimal release rate , so that the attachment base can adaptively adjust the release rate according to real-time environmental changes.

[0013] Optionally, the surface microstructure dynamic optimization in S32 includes: S321, real-time monitoring of biological attachment requirements: During the deployment process, sensors are used to monitor the biological attachment requirements of the microbial community on the surface of the attachment substrate in real time, including biological species B, biological density D, and nutrient concentration N; S322, Surface microstructure optimization calculation: Based on the monitored biological attachment requirements, the dynamic optimization algorithm is used to calculate the optimal surface microstructure adjustment amount to adapt to different ecological levels , to promote biological attachment effect; S3223, Automatic surface microstructure adjustment: Optimal adjustment based on calculation Adjust biofouling requirements in real time.

[0014] Optionally, the intelligent preparation of trace elements in S33 includes: S331, real-time monitoring of deep-sea ecological stratification parameters: During the deployment process, sensors are used to monitor the depth H of seawater and the concentration of trace elements in the environment in real time. ; S332, trace element optimization calculation: according to the detected seawater depth H and environmental trace element concentration , using intelligent blending algorithms to calculate the optimal trace element concentration on the surface of the substrate ; S333, automatic trace element adjustment: according to the calculated optimal trace element concentration Adjust trace element concentration in real time.

[0015] Optionally, the attachment base maintenance in S4 includes: S41, sediment coverage detection and self-cleaning function activation: Use optical sensors to monitor whether the surface of the attachment base is covered with sediment. If a sediment layer is detected, the self-cleaning function is automatically activated to remove surface sediments by micro-vibration or water flow cleaning; S42, structural deformation detection and structural fine-tuning: monitor the structural shape of the attachment base. If structural deformation is detected, activate the structural fine-tuning function to restore the designed shape of the attachment base by adjusting the internal support or external shape.

[0016] Beneficial effects of the present invention: The present invention ensures the deployment accuracy and stability of the attachment base in a complex deep-sea environment through precise deep-sea positioning and dynamic correction mechanisms, and uses electromagnetic feedback signals for real-time positioning and deviation detection, combined with dynamic adjustment functions, to effectively avoid deployment errors caused by ocean currents, terrain and equipment deviations, ensuring that the attachment base is accurately attached within the preset repair area. This process not only improves the accuracy and reliability of deployment, but also reduces interference with the surrounding environment, providing stable support for the fine operations of deep-sea ecological restoration.

[0017] The present invention, through a multi-level ecological adaptation mechanism, can adaptively adjust the material release rate, surface microstructure and trace element ratio of the attachment base according to the stratified characteristics of the deep-sea ecosystem to meet the restoration needs of different depths and ecological levels. The combination of material release rate, surface microstructure optimization and trace element intelligent allocation algorithm enables the attachment base to provide suitable attachment conditions in different ecological environments, enhances biological attraction and attachment stability, promotes efficient attachment of multiple organisms and diverse restoration effects, and realizes long-term and effective recovery of the deep-sea ecosystem.

[0018] The present invention ensures the long-term stability and functional continuity of the attachment base in the deep-sea environment through the self-cleaning and structural maintenance functions of the attachment base, monitors the sediment coverage and structural deformation of the attachment base in real time, and automatically starts the self-cleaning or structural fine-tuning function when an abnormality is detected, thereby effectively avoiding the negative impact of sediment coverage or structural deformation on the repair effect, improving the durability and environmental adaptability of the attachment base, enabling it to maintain efficient ecological restoration capabilities in complex deep-sea environments, and laying a solid foundation for the sustainable recovery of the ecosystem. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 A schematic diagram of a recycling method according to an embodiment of the present invention; Figure 2 Schematic diagram of the multi-level seabed ecological adaptation mechanism of an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0022] like Figure 1-Figure 2 As shown, a method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration comprises the following steps: S1, material preparation: Select biological attachment base substitute materials with corrosion resistance, high pressure resistance and biocompatibility, including titanium alloy, 316L stainless steel, glass fiber reinforced plastic and composite carbon fiber materials; S2, deep-sea electromagnetic positioning and deviation correction: During the deployment process, real-time positioning is performed through the electromagnetic feedback signal of the attachment base, and combined with the automatic deviation correction function, the deviation during deployment is detected in real time, and the deployment direction and angle are automatically adjusted to ensure that the attachment base is stably attached in the repair area and meets the positioning requirements; S3, multi-level seabed ecological adaptation mechanism: after deployment, the material release rate, surface microstructure and trace element ratio of the attachment base are automatically adjusted to meet the needs of the multi-level deep-sea ecosystem, including: S31, Adaptive adjustment of material release: After deployment, the material release rate is automatically adjusted to adapt to the physical and chemical conditions of seawater at different depths; S32, dynamic optimization of surface microstructure: real-time adjustment of the surface microstructure of the attachment substrate to meet the attachment requirements of organisms at different ecological levels; S33, intelligent allocation of trace elements: according to the layered characteristics of deep-sea ecosystems, the proportion of surface trace elements is automatically adjusted to enhance the biological attractiveness of the attachment base and optimize its restoration effect at different ecological levels; S4, attachment base maintenance: after deployment, if sediment coverage or structural deformation is detected, the self-cleaning function will be activated or the attachment base structure will be fine-tuned to ensure that the attachment base is stably and effectively attached to the seabed for a long time and remains active in the target area; Through the above contents, the stability and biocompatibility of the attachment base in the deep-sea environment are ensured, and various parameters can be adaptively adjusted according to the needs of different ecological levels, thereby achieving a more refined ecological restoration effect. It has high adaptability, long-term effectiveness and environmental friendliness, and enhances the sustainable recovery capacity of deep-sea ecosystems.

[0023] Deep-sea electromagnetic positioning and correction in S2 include: S21, electromagnetic feedback signal reception and positioning: during the deployment process, the electromagnetic feedback signal receiving device of the attachment base is used to obtain the position signal in real time to determine the current positioning data of the attachment base in the deep sea environment; S22, deviation detection: real-time monitoring of the deviation between the position of the attachment base and the preset target position, and identification of the path deviation generated during the deployment process, including direction deviation and angle deviation; S23, dynamic adjustment of deviation: according to the result of deviation detection, the placement direction and angle of the attachment base are adjusted in real time to ensure that the attachment base is finally stably attached to the predetermined position of the repair area; Through the above content, high-precision control of the attachment base during deep-sea deployment is achieved, ensuring that the attachment base can be accurately positioned and stably attached to the predetermined position, avoiding deployment errors caused by ocean currents, terrain or equipment deviations, improving the reliability and accuracy of the deployment process, reducing disturbances to the environment, and significantly improving the efficiency and effectiveness of deep-sea ecological restoration operations.

[0024] The electromagnetic feedback signal reception and positioning in S21 include: S211, signal transmission initialization: when the attachment base enters the deployment state, the internal electromagnetic signal transmitting device is started to transmit electromagnetic feedback signals to the surrounding sea area in a direction; S212, feedback signal reception: receiving an electromagnetic feedback signal from the attachment base, and recording the signal strength, direction and time; S213, calculation and analysis of positioning data: according to the received electromagnetic feedback signal, the spatial coordinates and azimuth of the position signal are calculated to generate the current positioning data of the attachment base in real time; Through the above content, the real-time position of the attachment base in the deep-sea environment can be obtained efficiently and accurately, ensuring the precise positioning and direction control of the attachment base during the deployment process. Even in a complex marine environment, its position and posture can be continuously tracked to avoid deviation, thereby improving the reliability and accuracy of the deployment operation and providing stable technical support for deep-sea ecological restoration.

[0025] The calculation and analysis of positioning data in S213 include: S2131, distance calculation: The receiver records the arrival time of the electromagnetic feedback signal, calculates the propagation time difference with the attachment base, and determines the distance from the attachment base to each receiver, which is expressed as: ; Where c is the propagation speed of electromagnetic waves in seawater, is the difference between the signal arrival time recorded by receiver i and the reference time, is the distance between the attachment base and the receiver i; S2132, calculating the spatial coordinates of the attachment base: using the known positions of multiple receivers and the corresponding distance data, a triangulation positioning algorithm is used to calculate the coordinate position of the attachment base in three-dimensional space, which is expressed as: ; ; ; in, represents the spatial coordinates of the attachment base, that is, the position to be determined, is the known spatial coordinate of receiver A, is the known spatial coordinate of receiver B, is the known spatial coordinate of receiver C, is the distance from the attachment base to the receiver A, is the distance from the attachment base to the receiver B, is the distance from the attachment base to the receiver C; S2133, calculating the azimuth and altitude of the attachment base: calculating the azimuth of the attachment base relative to the target position according to the three-dimensional coordinate data of the attachment base and the preset position of the target area (horizontal angle) and altitude angle (vertical angle), expressed as: ; ; ; in, is the azimuth (horizontal angle) of the attachment base relative to the target position, is the component of the horizontal distance difference between the attachment base and the target position on the x-axis, is the component of the horizontal distance difference between the attachment base and the target position on the y-axis, is the coordinate of the target position on the x-axis, is the coordinate of the current position of the attachment base on the x-axis, is the coordinate of the target position on the y-axis, is the coordinate of the current position of the attachment base on the y-axis; ; ; ; in, is the height angle of the attachment base relative to the target position, is the component of the vertical distance difference between the attachment base and the target position on the z-axis, is the horizontal distance between the attachment base and the target position, is the coordinate of the target position on the z-axis, is the coordinate of the current position of the attachment base on the z-axis; Through the above content, accurate spatial coordinates and azimuths are generated, providing real-time location information, which can efficiently and accurately track the current position and posture of the attachment base, ensure its precise alignment with the target area, and improve the stability and accuracy of the deployment operation. It is especially suitable for complex deep-sea environments, making the ecological restoration process more reliable and controllable.

[0026] The offset detection in S22 includes: S221, read positioning data: obtain the real-time positioning data of the attachment base, including azimuth and altitude angle ; S222, determine the direction deviation: by azimuth Determine the attachment base Horizontal offset on the plane, if If the azimuth angle deviates from the preset range, it is identified as a horizontal deviation of the attachment base; S223, determine the angle deviation: through the altitude angle Determine the angular deviation of the attachment base in the vertical direction. If it deviates from the target pitch angle range, it is identified as a height deviation of the attachment base; The preset azimuth angle range and target elevation angle range are set by the spatial position relationship between the attachment base and the target area, specifically including: Calculate the ideal azimuth and elevation angle: Based on the ideal position of the attachment base (i.e. the center position of the target area), calculate the ideal azimuth angle and altitude angle , expressed as: ; ; in, , , are the coordinates of the target position (ideal position) on the x, y, and z axes, respectively. , , are the coordinates of the current position of the attachment base on the x, y, and z axes respectively; Set the allowable deviation range: Set the azimuth deviation range (exist As the allowable error in the horizontal direction, set the altitude angle deviation range (exist ), as the allowable error in the vertical direction; Calculate the preset azimuth angle range and target pitch angle range: According to the ideal azimuth angle and pitch angle and the allowable deviation range, calculate the preset azimuth angle range and target pitch angle range, expressed as: ; ; in, is the preset azimuth range, is the target pitch angle range; Through the above content, it is possible to accurately identify the horizontal and vertical deviations of the attachment base during the deployment process, monitor the path deviation of the attachment base in real time, and promptly discover and correct errors in direction and angle, thereby ensuring the accurate deployment of the attachment base in a complex deep-sea environment and improving the accuracy and reliability of ecological restoration operations.

[0027] The dynamic adjustment of deviation in S23 includes: S231, adjustment command is issued: if the azimuth is detected Deviating from the preset azimuth range, triggering the direction adjustment command, if the altitude angle is detected If the target pitch angle range is deviated, the angle adjustment command will be triggered; S232, Dynamically adjust the direction and angle: According to the adjustment command issued, dynamically adjust the direction and angle of the deployed equipment so that the azimuth Adjust to the preset azimuth range, altitude angle Adjust to the target pitch angle range; Through the above content, dynamic fine-tuning of the direction and angle of the deployment equipment can be achieved. By precisely controlling the movement trajectory of the attachment base, it can be gradually guided to the target position, ensuring the deployment accuracy and stability of the attachment base in complex deep-sea environments, thereby effectively improving the operational reliability and success rate of deep-sea ecological restoration.

[0028] Adaptive material release regulation in S31 includes: S311, real-time monitoring of environmental parameters: During the deployment process, the environmental parameters of the seawater, including temperature T, pressure P and salinity S, are monitored in real time through sensors; S312, release rate adjustment calculation: according to the monitored environmental parameters, the optimal release rate of the material is calculated using an adaptive adjustment algorithm , to ensure the gradual release of materials in the deep sea environment, expressed as: ; in, is the optimal release rate of the material, is the base coefficient of material release rate, which is preset according to the experiment. , , To adjust the coefficient, set it according to the experimental data; S313, automatic release rate adjustment: based on the calculated optimal release rate , so that the attachment base can adaptively adjust the release rate according to real-time environmental changes, ensuring that the material achieves the best release effect in the deep-sea ecological environment; Through the above contents, it is ensured that the attachment base can gradually and accurately release the repair substances in the seawater environment at different depths, and can automatically optimize the release process according to the complex and changeable deep-sea conditions to avoid too fast or too slow release, thereby ensuring the effectiveness, stability and durability of the materials, thereby better supporting the restoration and protection of deep-sea ecosystems.

[0029] Dynamic optimization of surface microstructure in S32 includes: S321, real-time monitoring of biological attachment requirements: During the deployment process, sensors are used to monitor the biological attachment requirements of the microbial community on the surface of the attachment substrate in real time, including biological species B, biological density D, and nutrient concentration N; S322, Surface microstructure optimization calculation: Based on the monitored biological attachment requirements, the dynamic optimization algorithm is used to calculate the optimal surface microstructure adjustment amount to adapt to different ecological levels , to promote the biological attachment effect, expressed as: ; in, is the optimal adjustment amount of the surface microstructure, b is the microstructure adjustment reference coefficient, according to the experimental preset, , , To adjust the coefficient, set it according to the experimental data; S3223, Automatic surface microstructure adjustment: Optimal adjustment based on calculation Adjust biological attachment requirements in real time to improve the adsorption rate and attachment stability of organisms; Through the above content, the surface characteristics can be automatically optimized according to the changes in biological species, density and nutritional content, promoting microorganisms and other organisms to attach to the substrate more efficiently and stably, thereby improving the diversity and effectiveness of deep-sea ecological restoration and ensuring the long-term stability and adaptability of the ecological restoration process.

[0030] The intelligent blending of trace elements in S33 includes: S331, real-time monitoring of deep-sea ecological stratification parameters: During the deployment process, sensors are used to monitor the depth H of seawater and the concentration of trace elements in the environment in real time. ; S332, trace element optimization calculation: according to the detected seawater depth H and environmental trace element concentration , using intelligent blending algorithms to calculate the optimal trace element concentration on the surface of the substrate , expressed as: ; in, is the optimal trace element concentration on the surface of the attachment substrate, c is the adjustment coefficient, according to the experimental setting, and To optimize the coefficients, set them based on experimental data; S333, automatic trace element adjustment: according to the calculated optimal trace element concentration Adjust the concentration of trace elements in real time to meet the biological attraction needs at different depths and optimize the ecological restoration effect of the attachment base; Through the above content, it is possible to accurately adapt to the biological needs of different depth levels, automatically optimize the biological attraction of the attachment base, and provide suitable attachment conditions for a variety of deep-sea ecosystems, thereby improving the effectiveness and durability of ecological restoration, ensuring that the ecological restoration process is more in line with the natural state of the deep-sea environment and achieves the best restoration effect.

[0031] Substrate maintenance in S4 includes: S41, sediment coverage detection and self-cleaning function activation: Use optical sensors to monitor whether the surface of the attachment base is covered with sediment. If a sediment layer is detected, the self-cleaning function is automatically activated to remove surface sediments through micro-vibration or water flow cleaning to ensure the normal function of the attachment base; S42, structural deformation detection and structural fine-tuning: monitor the structural shape of the attachment base. If structural deformation is detected, start the structural fine-tuning function to restore the designed shape of the attachment base by adjusting the internal support or external shape to maintain its stability and ecological restoration effect; Through the above contents, the self-cleaning or structural fine-tuning function can be activated in time when the surface of the attachment base is covered by sediments or deformed, thereby ensuring the normal function and structural stability of the attachment base in real time, ensuring that it can continuously and effectively carry out ecological restoration in the deep-sea environment, avoiding the impact of sediment or structural damage on the restoration effect, and improving the durability and adaptability of the attachment base.

[0032] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0033] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for placing and recovering biological attachment base substitutes for deep-sea mining ecological restoration, It is characterized in that The following steps are involved: S1, material preparation: Select biological attachment base substitute materials with corrosion resistance, high pressure resistance and biocompatibility, including titanium alloy, 316L stainless steel, glass fiber reinforced plastic and composite carbon fiber materials; S2, deep-sea electromagnetic positioning and deviation correction: During the deployment process, real-time positioning is performed through the electromagnetic feedback signal of the attachment base, and combined with the automatic deviation correction function, the deviation during deployment is detected in real time, and the deployment direction and angle are automatically adjusted; S3, multi-level seabed ecological adaptation mechanism: after deployment, the material release rate, surface microstructure and trace element ratio of the attachment base are automatically adjusted to meet the needs of the multi-level deep-sea ecosystem, including: S31, Adaptive adjustment of material release: After deployment, the material release rate is automatically adjusted to adapt to the physical and chemical conditions of seawater at different depths; S32, dynamic optimization of surface microstructure: real-time adjustment of the surface microstructure of the attachment substrate to meet the attachment requirements of organisms at different ecological levels; S33, intelligent allocation of trace elements: according to the layered characteristics of deep-sea ecosystems, the proportion of surface trace elements is automatically adjusted to enhance the biological attractiveness of the attachment base and optimize its restoration effect at different ecological levels; S4, attachment base maintenance: After deployment, if sediment coverage or structural deformation is detected, the self-cleaning function will be activated or the attachment base structure will be fine-tuned.

2. A method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration according to claim 1, It is characterized in that The deep-sea electromagnetic positioning and deviation correction in S2 include: S21, electromagnetic feedback signal reception and positioning: during the deployment process, the electromagnetic feedback signal receiving device of the attachment base is used to obtain the position signal in real time to determine the current positioning data of the attachment base in the deep sea environment; S22, deviation detection: real-time monitoring of the deviation between the position of the attachment base and the preset target position, and identification of the path deviation generated during the deployment process, including direction deviation and angle deviation; S23, dynamic adjustment of deviation: adjusting the placement direction and angle of the attachment base in real time according to the result of the deviation detection.

3. A method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration according to claim 2, It is characterized in that The electromagnetic feedback signal receiving and positioning in S21 includes: S211, signal transmission initialization: when the attachment base enters the deployment state, the internal electromagnetic signal transmitting device is started to transmit electromagnetic feedback signals to the surrounding sea area in a direction; S212, feedback signal reception: receiving an electromagnetic feedback signal from the attachment base, and recording the signal strength, direction and time; S213, calculation and analysis of positioning data: based on the received electromagnetic feedback signal, the spatial coordinates and azimuth of the position signal are calculated to generate the current positioning data of the attachment base in real time.

4. A method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration according to claim 3, It is characterized in that The calculation and analysis of the positioning data in S213 includes: S2131, distance calculation: the receiver records the arrival time of the electromagnetic feedback signal, calculates the propagation time difference with the attachment base, and determines the distance from the attachment base to each receiver; S2132, calculating the spatial coordinates of the attachment base: using the known positions of multiple receivers and corresponding distance data, using a triangulation positioning algorithm to calculate the coordinate position of the attachment base in three-dimensional space; S2133, calculating the azimuth and altitude of the attachment base: calculating the azimuth of the attachment base relative to the target position according to the three-dimensional coordinate data of the attachment base and the preset position of the target area and altitude angle .

5. A method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration according to claim 4, It is characterized in that The offset detection in S22 includes: S221, read positioning data: obtain the real-time positioning data of the attachment base, including azimuth and altitude angle ; S222, determine the direction deviation: by azimuth Determine the attachment base Horizontal offset on the plane, if If the azimuth angle deviates from the preset range, it is identified as a horizontal deviation of the attachment base; S223, determine the angle deviation: through the altitude angle Determine the angular deviation of the attachment base in the vertical direction. If the pitch angle deviates from the target range, it is identified as a height deviation of the attachment base.

6. A method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration according to claim 5, It is characterized in that The dynamic adjustment of the deviation in S23 includes: S231, adjustment command is issued: if the azimuth is detected Deviating from the preset azimuth range, triggering the direction adjustment command, if the altitude angle is detected If the target pitch angle range is deviated, the angle adjustment command will be triggered; S232, Dynamically adjust the direction and angle: According to the adjustment command issued, dynamically adjust the direction and angle of the deployed equipment so that the azimuth Adjust to the preset azimuth range, altitude angle Adjust to the target pitch angle range.

7. A method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration according to claim 1, It is characterized in that The material release adaptive regulation in S31 includes: S311, real-time monitoring of environmental parameters: During the deployment process, the environmental parameters of the seawater, including temperature T, pressure P and salinity S, are monitored in real time through sensors; S312, release rate adjustment calculation: according to the monitored environmental parameters, the optimal release rate of the material is calculated using an adaptive adjustment algorithm ; S313, automatic release rate adjustment: based on the calculated optimal release rate , so that the attachment base can adaptively adjust the release rate according to real-time environmental changes.

8. A method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration according to claim 7, It is characterized in that The surface microstructure dynamic optimization in S32 includes: S321, real-time monitoring of biological attachment requirements: During the deployment process, sensors are used to monitor the biological attachment requirements of the microbial community on the surface of the attachment substrate in real time, including biological species B, biological density D, and nutrient concentration N; S322, Surface microstructure optimization calculation: Based on the monitored biological attachment requirements, the dynamic optimization algorithm is used to calculate the optimal surface microstructure adjustment amount to adapt to different ecological levels , to promote biological attachment effect; S3223, Automatic surface microstructure adjustment: Optimal adjustment based on calculation Adjust bio-attachment requirements in real time.

9. A method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration according to claim 8, It is characterized in that The intelligent preparation of trace elements in S33 includes: S331, real-time monitoring of deep-sea ecological stratification parameters: During deployment, sensors are used to monitor the depth of seawater and the concentration of trace elements in the environment in real time. ; S332, trace element optimization calculation: according to the detected seawater depth H and environmental trace element concentration , using intelligent blending algorithms to calculate the optimal trace element concentration on the surface of the substrate ; S333, automatic trace element adjustment: according to the calculated optimal trace element concentration Adjust trace element concentration in real time.

10. The method for placing and recovering a biological attachment base substitute for deep-sea mining ecological restoration according to claim 1, It is characterized in that The substrate maintenance in S4 includes: S41, sediment coverage detection and self-cleaning function activation: Use optical sensors to monitor whether the surface of the attachment base is covered with sediment. If a sediment layer is detected, the self-cleaning function is automatically activated to remove surface sediments by micro-vibration or water flow cleaning; S42, structural deformation detection and structural fine-tuning: monitor the structural shape of the attachment base. If structural deformation is detected, activate the structural fine-tuning function to restore the designed shape of the attachment base by adjusting the internal support or external shape.

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