Integrated intelligent monitoring system for health of oyster raft structure and breeding environment

Abstract

The invention discloses an integrated intelligent monitoring system for health of an oyster raft structure and a breeding environment. The integrated intelligent monitoring system comprises a plurality of pedals, buoys arranged at the bottom ends of the pedals, a plurality of cross beams arranged among the pedals, a plurality of longitudinal beams arranged at the top ends of the cross beams, and connecting beams arranged at the top ends of the longitudinal beams; according to the integrated intelligent monitoring system for the health of the oyster raft structure and the culture environment, by arranging the dismounting mechanism between the buoy and the pedal, tenon-and-mortise fixation or separation of the buoy and the pedal can be rapidly achieved through the butt joint plate, the limiting ball and the first damping spring shock absorber, the transportation and maintenance convenience is greatly improved, and the flexible operation and maintenance requirements of offshore culture are met; the buffer mechanism is arranged between the pedal and the cross beam, the second damping spring shock absorber of the buffer mechanism can effectively absorb shock, hard friction between the pedal and the cross beam is reduced, and the service life of the whole structure is prolonged.

Description

Technical Field

[0001] This invention relates to the field of marine aquaculture equipment technology, specifically to an integrated intelligent monitoring system for the health of oyster raft structures and the aquaculture environment. Background Technology

[0002] Traditional oyster rafts are mainly made of bamboo tubes, foam floats, or HDPE (high-density polyethylene). These structures are immersed in seawater for a long time, making them susceptible to corrosion, marine organism attachment, and the impact of wind and waves. This can lead to material fatigue, loosening of connectors, or even structural failure, resulting in losses of aquaculture assets and safety hazards.

[0003] Currently, oyster farmers rely heavily on manual, experience-based inspections to assess the condition of oyster rafts, which is inefficient, risky, and unable to provide early warnings. While new materials (such as basalt fiber composite oyster rafts with high strength and corrosion resistance) and drone inspections have emerged in recent years, real-time, accurate monitoring of the health status of oyster rafts at both the material and structural levels is still lacking. Furthermore, data acquisition on the oyster farming environment (dissolved oxygen, pH, water temperature, salinity, turbidity, flow velocity, and wind speed) largely depends on manual or isolated monitoring, failing to effectively integrate with structural monitoring. Summary of the Invention

[0004] The purpose of this section is to outline some aspects of the embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0005] 1. Technical problems to be solved:

[0006] To address the aforementioned issues of the lack of real-time and accurate monitoring of oyster raft health status at both the material and structural levels, and the fact that data acquisition for oyster farming environments (dissolved oxygen, pH, water temperature, salinity, turbidity, flow velocity, wind speed) largely relies on manual or isolated monitoring and fails to effectively integrate with structural monitoring, this invention is proposed.

[0007] Therefore, the purpose of this invention is to provide an integrated intelligent monitoring system for the structural health of oyster rafts and the aquaculture environment, which can monitor environmental data.

[0008] 2. Technical Solution:

[0009] To address the aforementioned technical problems, according to one aspect of the present invention, the present invention provides the following technical solution:

[0010] An integrated intelligent monitoring system for the structural health and aquaculture environment of oyster rafts includes: multiple pedals, with floats at the bottom of the multiple pedals, multiple crossbeams between the multiple pedals, multiple longitudinal beams at the top of the multiple crossbeams, and connecting beams at the top of the multiple longitudinal beams.

[0011] A disassembly mechanism is disposed between the pontoon and the pedal. The disassembly mechanism includes: multiple docking plates, which are disposed at the top of the pontoon and have limit grooves on their side walls.

[0012] Multiple docking slots are provided at the bottom end of the pedal, and multiple sliding grooves are provided on the inner wall of the multiple docking slots.

[0013] Multiple first damping spring shock absorbers, one end of each first damping spring shock absorber is disposed on the inner wall of the slide groove, and the other end of each first damping spring shock absorber is provided with a limiting ball, the limiting ball and the limiting groove are tenon-and-mortise connected;

[0014] A buffer mechanism is disposed between the pedal and the crossbeam, and the buffer mechanism includes: a plurality of fixing grooves, the plurality of fixing grooves being disposed on the inner wall of the pedal;

[0015] Multiple mounting plates are disposed at both ends of the crossbeam;

[0016] Multiple movable plates are disposed on the top of the mounting plate, and a second damping spring shock absorber is disposed on the top of each movable plate. The top of the second damping spring shock absorber is disposed on the inner wall of the fixed groove.

[0017] The monitoring mechanism is located at the top of the crossbeam and includes an equipment compartment, a wind speed sensor, a multi-parameter monitoring sensor, and a flow velocity sensor. The monitoring steps of the monitoring mechanism include FBG structural health monitoring, aquaculture environment monitoring, and integrated monitoring linkage.

[0018] As a preferred embodiment of the integrated intelligent monitoring system for the health of oyster raft structure and aquaculture environment of the present invention, the disassembly mechanism further includes: a plurality of first hooks, wherein the plurality of first hooks are disposed at both ends of the float;

[0019] Multiple second hooks are provided at the bottom end of the pedal, and a traction rope is provided between the multiple first hooks and second hooks.

[0020] As a preferred embodiment of the integrated intelligent monitoring system for oyster raft structure health and aquaculture environment of the present invention, the buffer mechanism further includes: multiple sealing grooves, wherein the multiple sealing grooves are disposed on the inner wall of the fixed groove;

[0021] Multiple sealing plates are disposed on the top of the movable plate, and the sealing plates and the sealing groove are slidably connected.

[0022] As a preferred embodiment of the integrated intelligent monitoring system for the health of oyster raft structure and aquaculture environment of the present invention, FBG sensors are pre-embedded inside the pedals, crossbeams, longitudinal beams and connecting beams, and the equipment compartment contains built-in grating demodulation equipment, industrial control computer and power management module.

[0023] As a preferred embodiment of the integrated intelligent monitoring system for the health of oyster raft structure and aquaculture environment of the present invention, the wind speed sensor is set at the front end of the pedal, an aquaculture area is set between the crossbeam and the longitudinal beam, and the multi-parameter monitoring sensor and the flow velocity sensor are set in the aquaculture area.

[0024] As a preferred embodiment of the integrated intelligent monitoring system for oyster raft structure health and aquaculture environment of the present invention, the signal output terminals of the FBG sensor, wind speed sensor, multi-parameter monitoring sensor and flow velocity sensor are connected to the signal receiving terminal of the industrial control computer.

[0025] As a preferred embodiment of the integrated intelligent monitoring system for oyster raft structure health and aquaculture environment of the present invention, the grating demodulation device is responsible for demodulating the wavelength changes of the FBG sensor and converting them into stress-strain data, and the industrial control computer is responsible for collecting all sensor data and performing preliminary edge computing and data packaging.

[0026] As a preferred embodiment of the integrated intelligent monitoring system for oyster raft structure health and aquaculture environment of the present invention, the FBG structure health monitoring process includes:

[0027] S1: At key stress concentration points such as the main crossbeam, loading longitudinal beam, and connecting beam of the oyster raft, FBG sensors are pre-embedded during the molding of composite materials, making them an integral part of the structure.

[0028] S2: The FBG sensor collects wavelength signals related to stress and strain changes in the oyster raft structure in real time.

[0029] S3: The wavelength signal is transmitted to the waterproof compartment on the oyster raft and connected to the grating demodulation equipment;

[0030] S4: The grating demodulation device demodulates the received wavelength changes;

[0031] S5: Convert the demodulated wavelength signal into analyzable structural stress and strain data;

[0032] S6: Stress / strain data is transmitted to the industrial control computer inside the waterproof chamber;

[0033] S7: The industrial control computer performs preliminary edge computing on the data and filters out seawater interference signals;

[0034] S8: Compare the processed stress / strain data with the preset safety threshold, and identify whether fatigue damage exists;

[0035] S9: If the data exceeds the standard or there is fatigue damage, the background system will trigger a structural safety audible and visual alarm and push risk location information; if the data is normal, the data will be archived and recorded to record the structural health trend, ultimately achieving the effect of proactive safety warning and extending the life of the facility.

[0036] As a preferred embodiment of the integrated intelligent monitoring system for the health of oyster raft structure and aquaculture environment of the present invention, the aquaculture environment monitoring process includes: S10: installing wind speed sensors at designated locations on the oyster raft to collect real-time sea surface wind force and wind speed data;

[0037] S11: Deploy multi-parameter monitoring sensors in aquaculture waters to collect water quality parameters such as dissolved oxygen, pH, salinity, turbidity, and water temperature in real time;

[0038] S12: Deploy flow velocity sensors in aquaculture areas to collect seawater flow velocity data in real time;

[0039] S13: The monitoring signals from the wind speed sensor, multi-parameter monitoring sensor, and flow velocity sensor are connected to the industrial control computer inside the waterproof compartment via signal lines;

[0040] S14: The industrial control computer collects all environmental monitoring data and performs zero-point calibration.

[0041] S15: Compare the calibrated environmental data with the preset suitable threshold for oyster farming;

[0042] S16: Determine if there are any abnormalities in environmental parameters (such as low dissolved oxygen, excessive wind speed, etc.);

[0043] S17: If the parameters are abnormal, the back-end system will output targeted adjustment suggestions to guide farmers to carry out precise feeding, disease prediction or emergency treatment (such as starting oxygenation equipment).

[0044] S18: If the parameters are normal, the background system will generate a daily environmental data report to provide a reference for aquaculture management;

[0045] S19: Through continuous environmental data support, the core effect of scientific aquaculture decision-making is achieved, thereby improving the quality and yield of oysters.

[0046] As a preferred embodiment of the integrated intelligent monitoring system for oyster raft structure health and aquaculture environment of the present invention, the integrated monitoring linkage process includes:

[0047] S20: The industrial control computer inside the waterproof chamber synchronously receives FBG structural health data and environmental monitoring data;

[0048] S21: The industrial control computer packages and integrates the two types of data in a unified manner and completes secondary edge computing optimization;

[0049] S22: The packaged integrated data is sent to the cloud or shore-based back-end monitoring center in real time via wireless transmission technology;

[0050] S23: After receiving the data, the back-end monitoring center completes the data storage and visualization presentation;

[0051] S24: Utilize the built-in data analysis software in the background to perform fatigue damage trend analysis on structural data and time-series trend analysis on environmental data;

[0052] S25: Determine whether the structural data exceeds the standard and whether the environmental parameters are abnormal, and perform dual status verification;

[0053] S26: If structural risks exist, push maintenance prompts; if environmental anomalies exist, push control suggestions; if both are abnormal, prioritize prompting for structural risk handling.

[0054] S27: If there are no abnormalities in the structural data and environmental parameters, classify and archive the data into the oyster raft structure health database and the aquaculture environment database.

[0055] S28: Based on archived data, provide data support for subsequent predictive maintenance of facilities and optimization of aquaculture programs;

[0056] S29: Ultimately achieve the comprehensive effect of reducing operation and maintenance costs, extending the life of oyster rafts, and promoting the digital and intelligent upgrading of marine ranches.

[0057] 3. Beneficial effects:

[0058] Compared with the prior art, the beneficial effects of the present invention are:

[0059] This integrated intelligent monitoring system for the health of oyster raft structure and aquaculture environment, by setting a disassembly mechanism between the buoy and the platform, and relying on the docking plate, limit ball and first damping spring shock absorber, allows the buoy and platform to be quickly fixed or separated by tenon and mortise joints, greatly improving the convenience of transportation and maintenance, and adapting to the flexible operation and maintenance needs of nearshore aquaculture.

[0060] This integrated intelligent monitoring system for the health and aquaculture environment of oyster rafts uses a buffer mechanism between the pedals and crossbeams. The second damping spring shock absorber of the buffer mechanism can effectively absorb vibrations, reduce hard friction between the pedals and crossbeams, and extend the overall structural lifespan.

[0061] This integrated intelligent monitoring system for the health of oyster raft structures and the aquaculture environment uses wind speed, multi-parameter, and flow velocity sensors in the monitoring unit, along with the equipment compartment, to collect aquaculture environment data in real time. This provides farmers with accurate references, assists in scientific decision-making, and helps avoid aquaculture risks caused by environmental anomalies. Attached Figure Description

[0062] To more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and detailed embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0063] Figure 1 This is a schematic diagram of the overall structure of an integrated intelligent monitoring system for oyster raft structure health and aquaculture environment according to the present invention.

[0064] Figure 2 This is a schematic diagram of the disassembly mechanism of an integrated intelligent monitoring system for oyster raft structure health and aquaculture environment according to the present invention.

[0065] Figure 3 This is a schematic diagram of the chute structure of an integrated intelligent monitoring system for oyster raft structure health and aquaculture environment according to the present invention.

[0066] Figure 4 This is a schematic diagram of the buffer mechanism structure of an integrated intelligent monitoring system for oyster raft structure health and aquaculture environment according to the present invention.

[0067] Figure 5 This is a schematic diagram of the monitoring mechanism structure of an integrated intelligent monitoring system for oyster raft structure health and aquaculture environment according to the present invention.

[0068] Figure 6 This is a flowchart of the FBG structural health monitoring process of an integrated intelligent monitoring system for oyster raft structural health and aquaculture environment according to the present invention.

[0069] Figure 7 This is a flowchart illustrating the aquaculture environment monitoring process of an integrated intelligent monitoring system for oyster raft structure health and aquaculture environment, as described in this invention.

[0070] Figure 8 This is a flowchart illustrating the integrated monitoring and linkage process of an integrated intelligent monitoring system for oyster raft structure health and aquaculture environment, as described in this invention.

[0071] The following are the labeling instructions in the diagram: 1. Pedal; 2. Float; 3. Crossbeam; 4. Longitudinal beam; 5. Connecting beam; 100. Disassembly mechanism; 101. Docking plate; 102. First hook; 103. Limiting groove; 104. Second hook; 105. Traction rope; 106. Docking groove; 107. Slide groove; 108. First damping spring shock absorber; 109. Limiting ball; 200. Buffer mechanism; 201. Fixing groove; 202. Sealing groove; 203. Mounting plate; 204. Movable plate; 205. Second damping spring shock absorber; 206. Sealing plate; 300. Monitoring mechanism; 301. Equipment compartment; 302. Wind speed sensor; 303. Multi-parameter monitoring sensor; 304. Flow velocity sensor. Detailed Implementation

[0072] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0073] This invention is described in detail with reference to the schematic diagrams. When describing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not according to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0074] The orientation or positional relationship indicated in the terminology is based on the orientation or positional relationship shown in the accompanying drawings and is only for the convenience of describing the invention and simplifying the description, and is not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention.

[0075] The term "connection method" should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0076] The embodiments of the present invention will now be described in further detail with reference to the accompanying drawings.

[0077] This invention provides an overall structural schematic diagram of an embodiment of an integrated intelligent monitoring system for oyster raft structure health and aquaculture environment, comprising:

[0078] Please see Figures 1-8The present embodiment of an integrated intelligent monitoring system for the health of oyster raft structure and aquaculture environment includes: multiple treads 1 with floats 2 at their bottom ends, multiple crossbeams 3 bolted between the multiple treads 1, multiple longitudinal beams 4 bolted to the top ends of the multiple crossbeams 3, and connecting beams 5 bolted to the top ends of the multiple longitudinal beams 4.

[0079] The disassembly mechanism 100 is disposed between the float 2 and the pedal 1. The disassembly mechanism 100 includes: multiple docking plates 101 bolted to the top of the float 2, and limit grooves 103 formed on the side walls of the multiple docking plates 101.

[0080] Multiple docking slots 106 are provided at the bottom end of the pedal 1, and multiple sliding grooves 107 are provided on the inner wall of the multiple docking slots 106;

[0081] Multiple first damping spring shock absorbers 108 are welded to the inner wall of the slide groove 107 at one end, and a limiting ball 109 is welded to the other end of the multiple first damping spring shock absorbers 108. The limiting ball 109 and the limiting groove 103 are connected by tenon and tenon joints, which can quickly disassemble and connect the float 2 and the pedal 1.

[0082] The buffer mechanism 200 is disposed between the pedal 1 and the crossbeam 3. The buffer mechanism 200 includes: a plurality of fixing grooves 201 formed on the inner wall of the pedal 1;

[0083] Multiple mounting plates 203 are welded to both ends of the crossbeam 3;

[0084] Multiple movable plates 204 are bolted to the top of the mounting plate 203. A second damping spring shock absorber 205 is welded to the top of the movable plate 204. The top of the second damping spring shock absorber 205 is welded to the inner wall of the fixed groove 201, which can buffer the swaying of the crossbeam 3.

[0085] The monitoring mechanism 300 is located at the top of the crossbeam 3. The monitoring mechanism 300 includes an equipment compartment 301, a wind speed sensor 302, a multi-parameter monitoring sensor 303, and a flow velocity sensor 304. The monitoring steps of the monitoring mechanism 300 include FBG structural health monitoring, aquaculture environment monitoring, and integrated monitoring linkage.

[0086] It is worth noting that, in order to quickly disassemble the connecting pontoon 2 and the pedal 1, the disassembly mechanism 100 specifically includes: multiple first hooks 102 bolted to both ends of the pontoon 2;

[0087] Multiple second hooks 104 are bolted to the bottom of the pedal 1. A traction rope 105 is sleeved between multiple first hooks 102 and second hooks 104, which can pull the float 2 and fix the float 2 for a secondary purpose.

[0088] Next, in order to buffer the swaying of the crossbeam 3, specifically, the buffering mechanism 200 also includes: multiple sealing grooves 202 formed on the inner wall of the fixed groove 201;

[0089] Multiple sealing plates 206 are welded to the top of the movable plate 204. The sealing plates 206 and the sealing groove 202 are slidably connected, which can provide preliminary waterproofing for the second damping spring shock absorber 205 during use.

[0090] Meanwhile, for monitoring purposes, specifically, FBG sensors are pre-embedded inside pedal 1, crossbeam 3, longitudinal beam 4 and connecting beam 5, and the equipment compartment 301 has built-in grating demodulation equipment, industrial control computer and power management module.

[0091] Furthermore, in order to monitor data, specifically, a wind speed sensor 302 is installed at the front end of the pedal 1, and a breeding area is enclosed between the crossbeam 3 and the longitudinal beam 4. A multi-parameter monitoring sensor 303 and a flow velocity sensor 304 are installed within the breeding area.

[0092] It is worth noting that, specifically, for signal connection, the signal output terminals of the FBG sensor, wind speed sensor 302, multi-parameter monitoring sensor 303, and flow velocity sensor 304 are connected to the signal receiving terminal of the industrial control computer.

[0093] Finally, to process the data, specifically, the grating demodulation device is responsible for demodulating the wavelength changes of the FBG sensor and converting them into stress-strain data, while the industrial control computer is responsible for collecting all sensor data and performing preliminary edge computing and data packaging.

[0094] The FBG structural health monitoring process includes:

[0095] S1: At key stress concentration points such as the main crossbeam 3 of the oyster raft, the loading longitudinal beam 4, and the connecting beam 5, FBG sensors are pre-embedded during the molding of composite materials, making them part of the structure.

[0096] S2: The FBG sensor collects wavelength signals related to stress and strain changes in the oyster raft structure in real time.

[0097] S3: The wavelength signal is transmitted to the waterproof compartment on the oyster raft and connected to the grating demodulation equipment;

[0098] S4: The grating demodulation device demodulates the received wavelength changes;

[0099] S5: Convert the demodulated wavelength signal into analyzable structural stress and strain data;

[0100] S6: Stress / strain data is transmitted to the industrial control computer inside the waterproof chamber;

[0101] S7: The industrial control computer performs preliminary edge computing on the data and filters out seawater interference signals;

[0102] S8: Compare the processed stress / strain data with the preset safety threshold, and identify whether fatigue damage exists;

[0103] S9: If the data exceeds the standard or there is fatigue damage, the background system will trigger a structural safety audible and visual alarm and push risk location information; if the data is normal, the data will be archived and recorded to record the structural health trend, ultimately achieving the effect of proactive safety warning and extending the life of the facility.

[0104] The aquaculture environment monitoring process includes: S10: Installing wind speed sensor 302 at a designated location on the oyster raft to collect real-time sea surface wind force and wind speed data;

[0105] S11: Deploy multi-parameter monitoring sensors 303 in aquaculture waters to collect water quality parameters such as dissolved oxygen, pH, salinity, turbidity, and water temperature in real time;

[0106] S12: Deploy flow velocity sensor 304 in the aquaculture area to collect seawater flow velocity data in real time;

[0107] S13: The monitoring signals from wind speed sensor 302, multi-parameter monitoring sensor 303, and flow velocity sensor 304 are connected to the industrial control computer inside the waterproof compartment via signal lines;

[0108] S14: The industrial control computer collects all environmental monitoring data and performs zero-point calibration.

[0109] S15: Compare the calibrated environmental data with the preset suitable threshold for oyster farming;

[0110] S16: Determine if there are any abnormalities in environmental parameters (such as low dissolved oxygen, excessive wind speed, etc.);

[0111] S17: If the parameters are abnormal, the back-end system will output targeted adjustment suggestions to guide farmers to carry out precise feeding, disease prediction or emergency treatment (such as starting oxygenation equipment).

[0112] S18: If the parameters are normal, the background system will generate a daily environmental data report to provide a reference for aquaculture management;

[0113] S19: Through continuous environmental data support, the core effect of scientific aquaculture decision-making is achieved, thereby improving the quality and yield of oysters.

[0114] The integrated monitoring and coordination process includes:

[0115] S20: The industrial control computer inside the waterproof chamber synchronously receives FBG structural health data and environmental monitoring data;

[0116] S21: The industrial control computer packages and integrates the two types of data in a unified manner and completes secondary edge computing optimization;

[0117] S22: The packaged integrated data is sent to the cloud or shore-based back-end monitoring center in real time via wireless transmission technology;

[0118] S23: After receiving the data, the back-end monitoring center completes the data storage and visualization presentation;

[0119] S24: Utilize the built-in data analysis software in the background to perform fatigue damage trend analysis on structural data and time-series trend analysis on environmental data;

[0120] S25: Determine whether the structural data exceeds the standard and whether the environmental parameters are abnormal, and perform dual status verification;

[0121] S26: If structural risks exist, push maintenance prompts; if environmental anomalies exist, push control suggestions; if both are abnormal, prioritize prompting for structural risk handling.

[0122] S27: If there are no abnormalities in the structural data and environmental parameters, classify and archive the data into the oyster raft structure health database and the aquaculture environment database.

[0123] S28: Based on archived data, provide data support for subsequent predictive maintenance of facilities and optimization of aquaculture programs;

[0124] S29: Ultimately achieve the comprehensive effect of reducing operation and maintenance costs, extending the life of oyster rafts, and promoting the digital and intelligent upgrading of marine ranches.

[0125] Example 1, combined with Figures 1-8 This embodiment provides an integrated intelligent monitoring system for oyster raft structural health and aquaculture environment. The FBG structural health monitoring process includes:

[0126] S1: Select a fiber optic grating sensor of model FBG-F100 (range -2000~2000με, resolution 1με, operating temperature -40~85℃). Based on the mechanical simulation analysis results, pre-embed the sensor at stress concentration points such as the main crossbeam 3 (No. 3) at 1 / 3 of the length from both ends, the connection between the loading longitudinal beam 4 (No. 4) and the connecting beam 5 (No. 5), and the midpoint of the connecting beam 5 (No. 5) before the curing of the basalt fiber composite material layup: embed the sensor into the middle position of the layup along the beam axis, leave 1.5m fiber optic tails at both ends of the sensor, and cover the tails with stainless steel protective tubes. Cure the sensor together with the beam layup to ensure that the sensor and the structure become one, without any loose gaps.

[0127] S2: The FBG sensor collects the stress and strain changes of the oyster raft structure in real time under the impact of wind and waves and the action of aquaculture load, and outputs the corresponding wavelength signal (initial center wavelength 1550nm).

[0128] S3: Introduce the fiber optic pigtail reserved by the sensor into the waterproof compartment in the middle of the oyster raft (material: 316L stainless steel, size: 50cm×30cm×25cm, protection level: IP68) through a waterproof connector, and connect it to the grating demodulator (model: HG-800, demodulation accuracy: ±1pm, sampling frequency: 10Hz).

[0129] S4: After the grating demodulator is started, it demodulates the received wavelength change signal in real time to eliminate the influence of temperature cross-sensitivity (corrected by the built-in temperature compensation module).

[0130] S5: The demodulator converts wavelength change data into structural stress and strain data. The conversion formula is calculated based on the sensor calibration curve (sensitivity 2.2 pm / με).

[0131] S6: Stress / strain data is transmitted via RS485 interface to an industrial control computer (model IPC-610L, equipped with an Intel Core i5 processor and pre-installed with Linux operating system) inside the waterproof chamber.

[0132] S7: The industrial control computer runs an edge computing program to filter the data (using the Kalman filter algorithm), remove outliers (by setting the 3σ criterion), and filter out interference signals such as seawater fluctuations and sensor noise.

[0133] S8: The industrial control computer calls the preset stress-strain safety threshold (the yield strain threshold for basalt fiber composite materials is set to 1500με, and fatigue damage is judged based on the cumulative strain cycle count ≥10). 6 (with each strain ≥ 800 με), the processed data is compared with the threshold, and the fatigue damage trend is identified through a trend analysis algorithm.

[0134] S9: If the data exceeds the yield strain threshold or is determined to be at risk of fatigue damage, the industrial control computer immediately triggers an audible and visual alarm in the background system and pushes risk information (including specific locations and data such as "stress exceeds the standard at 6.7m from the left end of main beam No. 33, current strain 1620με") via wireless module; if the data is normal, the data is archived to the local SD card (storage capacity 128GB) in the format of "time-location-stress-strain" and simultaneously synchronized to the cloud, ultimately realizing proactive structural safety early warning. Tests have shown that it can identify potential structural failure risks 72 hours in advance and extend the service life of oyster rafts by more than 30%.

[0135] Example 2, combined with Figures 1-8This embodiment provides an integrated intelligent monitoring system for the structural health of oyster rafts and the aquaculture environment. The aquaculture environment monitoring process includes: S10: Selecting a WS-200 wind speed sensor 302 (measuring range 0~60m / s, accuracy ±0.3m / s), installing it on the metal bracket at the top of the outermost main crossbeam 3 (No. 3) of the oyster raft (the bracket height is 1.2m, avoiding the obstruction of the oyster cage), and collecting real-time sea surface wind force and wind speed data.

[0136] S11: Deploy a multi-parameter monitoring sensor 303 of model YSIEXO2 (measurement range: dissolved oxygen 0~50mg / L, pH 4~12, salinity 0~70‰, turbidity 0~4000NTU, water temperature -5~45℃, accuracy up to ±2%FS) in the aquaculture water area. The sensor probe is suspended below the connecting beam 5 (No. 5) by a stainless steel chain. The sensor probe is immersed 1.2m underwater, avoiding the disturbance area of ​​the float 2.

[0137] S12: Select a flow velocity sensor 304 of model LS-100 (measurement range 0~3m / s, accuracy ±0.05m / s), install it at the bottom of the loading longitudinal beam 4 (No. 4) near the float 2 (No. 14), with the probe facing the direction of the water flow, immersed 0.8m underwater, and fixed by buckle to prevent displacement due to water flow impact.

[0138] S13: The signal output lines of wind speed sensor 302, multi-parameter monitoring sensor 303, and flow velocity sensor 304 all use waterproof shielded cables, which are connected to the industrial control computer in the waterproof chamber through waterproof connectors. The cables are fixed along the side of the beam to avoid dragging and wear.

[0139] S14: Industrial control computer operation data calibration program, performs zero-point calibration (automatic calibration once every 24 hours) and temperature compensation on environmental monitoring data to ensure data accuracy.

[0140] S15: Compare the calibrated environmental data with the preset suitable thresholds for oyster farming (suitable thresholds: dissolved oxygen 3~8mg / L, pH 7.5~8.5, salinity 25~35‰, turbidity ≤50NTU, water temperature 10~25℃, wind speed ≤15m / s, flow velocity 0.2~1.0m / s).

[0141] S16: The logic judgment module identifies whether environmental parameters exceed suitable thresholds and determines the type of abnormality (such as low dissolved oxygen or high turbidity).

[0142] S17: If the parameters are abnormal, the industrial control computer will immediately output targeted adjustment suggestions: when dissolved oxygen is <3mg / L, push the "start oxygenation equipment" command; when wind speed is >15m / s, push the "reinforce oyster cage connection buckle" prompt; when turbidity is >50NTU, push the "reduce feeding amount by 50%" suggestion, and record the duration and trend of the abnormality.

[0143] S18: If the parameters are normal, the industrial control computer generates a daily environmental data report, including the average, maximum, minimum values ​​and change curves of each parameter, and stores it in the cloud database.

[0144] S19: Supported by monitoring data over three consecutive months, farmers can precisely adjust the feeding frequency (optimized from twice a day to feeding on demand) and promptly prevent and control diseases (early warnings based on changes in water temperature and pH). Actual measurements show that oyster survival rate has increased by 28% and yield per unit area by 15%, achieving scientific decision-making in aquaculture.

[0145] Example 3, combined with Figures 1-8 This embodiment provides an integrated intelligent monitoring system for the structural health of oyster rafts and the aquaculture environment. The integrated monitoring and linkage process includes:

[0146] S20: The industrial control computer inside the waterproof compartment receives data synchronously through a multi-interface data acquisition module. Figure 1 Output FBG structural health data (stress, strain, fatigue damage state) and Figure 2 The output environmental monitoring data (dissolved oxygen, pH, salinity, turbidity, water temperature, wind speed, and flow rate) are collected at an interval of 10 seconds.

[0147] S21: The industrial control computer packages and integrates the two types of data in a unified manner, encapsulates them in the format of "timestamp-structure data-environment data", and completes data compression (compression ratio 10:1) and redundant data removal through the edge computing program to reduce the transmission bandwidth usage.

[0148] S22: It adopts a "LoRa+4G" dual-mode wireless transmission module (LoRa communication distance ≥3km, 4G full network compatibility) to send the packaged integrated data to the shore-based back-end monitoring center in real time. If the 4G signal is interrupted, it will automatically switch to LoRa communication to ensure that the data is not lost.

[0149] S23: The shore-based back-end monitoring center (equipped with a server CPU Intel Xeon E5, 32GB memory, and 2TB storage capacity) receives data, completes data storage through a database management system (MySQL), and simultaneously visualizes it on the monitoring screen (structural data is displayed as stress cloud diagrams, and environmental data is displayed as real-time curves).

[0150] S24: The background system runs built-in data analysis software to perform trend analysis on structural data using fatigue cumulative damage theory and predict the remaining service life of the structure; and uses time series analysis algorithms on environmental data to identify the pattern of parameter changes (such as the diurnal fluctuation cycle of dissolved oxygen).

[0151] S25: The back-end system performs dual status verification: first, it determines whether the structural data exceeds the standard or whether there is fatigue damage, and then it determines whether the environmental parameters are abnormal, forming a "structure-environment" dual status report.

[0152] S26: If structural risks exist, prioritize sending maintenance alerts (e.g., "The cumulative strain cycle count at the midpoint of connecting beam 55 has reached 8.5 × 10⁻⁶"). 5 If there are environmental anomalies, recommendations for structural reinforcement will be sent; if both are abnormal, suggestions will be prioritized based on the principle of "structural safety first" to ensure the safety of aquaculture facilities.

[0153] S27: If there are no abnormalities in the structural data and environmental parameters, the backend system will classify and archive the data into the "Oyster Raft Structure Health Database" and the "Aquaculture Environment Database", supporting historical data query and review analysis.

[0154] S28: Based on archived data, the back-end system generates monthly facility maintenance reports (including predictive maintenance recommendations, such as sensor calibration time and key points for beam inspection) and aquaculture optimization plans (such as adjusting oyster seedling release time based on water temperature changes), providing data support for subsequent management.

[0155] S29: Through the operation of this integrated monitoring system, the frequency of manual inspections has been reduced from once a day to once a week, and the operation and maintenance costs have been reduced by 60%; the failure rate of oyster raft structures has been reduced from 12% to 2.5%, and the lifespan of facilities has been extended by more than 3 years; at the same time, it provides a standardized data interface for the digital management of marine ranches, and promotes the intelligent upgrading of the aquaculture industry.

[0156] Combination Figures 1-8 The integrated intelligent monitoring system for oyster raft structure health and aquaculture environment, as described in this embodiment, is used as follows:

[0157] 1. Based on actual usage, insert the docking plate 101 at the top of the float 2 into the docking groove 106 at the bottom of the pedal 1. The first damping spring shock absorber 108 pushes the limiting ball 109 into the limiting groove 103 of the docking plate 101, thus fixing the float 2 to the pedal 1. The two ends of the crossbeam 3 are fixed with bolts to the mounting plate 203. The second damping spring shock absorber 205 at the top of the movable plate 204 is embedded in the fixing groove 201 on the inner wall of the pedal 1. The sealing plate 206 is simultaneously inserted into the sealing groove 202. The pedal 1 and the crossbeam 3 are connected with bolts, and the longitudinal beam 4 and the connecting beam 5 are connected with clips to form a stable aquaculture frame.

[0158] 2: The equipment compartment 301 is fixed to the top of the crossbeam 3 with bolts. The compartment is pre-installed with grating demodulation equipment and industrial control computer. The wind speed sensor 302 is fixed to the front end of the pedal 1 with a bracket. In the breeding area enclosed by the crossbeam 3 and the longitudinal beam 4, the multi-parameter monitoring sensor 303 is suspended by a hanging chain, and the flow rate sensor 304 is fixed with a buckle. The waterproof signal lines of each sensor are connected to the industrial control computer in the equipment compartment 301 through waterproof connectors to realize real-time data collection and preliminary processing.

[0159] Although the present invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, as long as there is no structural conflict, the features in the disclosed embodiments can be combined with each other in any manner. The lack of an exhaustive description of these combinations in this specification is merely for the sake of brevity and resource conservation. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. An integrated intelligent monitoring system for oyster fillet structure health and farming environment, characterized in that, It include: a plurality of pedal (1), a plurality of the pedal (1) bottom end is provided with a pontoon (2), a plurality of the pedal (1) between a plurality of beams (3) are provided, a plurality of the beam (3) top end is provided with a plurality of longitudinal beam (4), a plurality of the longitudinal beam (4) top end is provided with a connecting beam (5); Dismantling mechanism (100), the dismantling mechanism (100) is arranged between the pontoon (2) and the pedal (1), the dismantling mechanism (100) includes: a plurality of docking plate (101), a plurality of the docking plate (101) is arranged on the top of the pontoon (2), a plurality of the docking plate (101) side wall is provided with a limit slot (103); A plurality of docking slots (106), a plurality of the docking slot (106) is arranged at the bottom end of the pedal (1), a plurality of the docking slot (106) inner wall is provided with a plurality of sliding groove (107); A plurality of first damping spring shock absorber (108), a plurality of the first damping spring shock absorber (108) one end is arranged in the inner wall of the sliding groove (107), a plurality of the first damping spring shock absorber (108) the other end is provided with a limit ball (109), the limit ball (109) and the limit slot (103) mortise and tenon connection; Buffer mechanism (200), the buffer mechanism (200) is arranged between the pedal (1) and the beam (3), the buffer mechanism (200) includes: a plurality of fixed slot (201), a plurality of the fixed slot (201) is arranged in the inner wall of the pedal (1); A plurality of mounting plate (203), a plurality of the mounting plate (203) is arranged at both ends of the beam (3); A plurality of movable plate (204), a plurality of the movable plate (204) is arranged at the top of the mounting plate (203), the movable plate (204) top end is provided with a second damping spring shock absorber (205), the second damping spring shock absorber (205) top end is arranged in the inner wall of the fixed slot (201); Monitoring mechanism (300), the monitoring mechanism (300) is arranged at the top of the beam (3), the monitoring mechanism (300) includes equipment cabin (301), wind speed sensor (302), multi parameter monitoring sensor (303) and flow sensor (304), the monitoring step of the monitoring mechanism (300) includes FBG structure health monitoring, breeding environment monitoring and integrated monitoring linkage.

2. The integrated intelligent monitoring system for oyster structure health and farming environment according to claim 1, wherein, The dismantling mechanism (100) further includes: a plurality of first hook (102), a plurality of the first hook (102) is arranged at both ends of the pontoon (2); A plurality of second hook (104), a plurality of the second hook (104) is arranged at the bottom end of the pedal (1), a plurality of the first hook (102) and the second hook (104) between the setting has a traction rope (105).

3. The integrated intelligent monitoring system for oyster structure health and farming environment according to claim 2, wherein, The buffer mechanism (200) further includes: a plurality of sealing groove (202), a plurality of the sealing groove (202) is arranged in the inner wall of the fixed slot (201); A plurality of sealing plates (206) are arranged at the top end of the movable plate (204), and the sealing plate (206) and the sealing groove (202) are in sliding connection.

4. The integrated intelligent monitoring system for oyster structure health and farming environment according to claim 3, wherein, The FBG sensor, the wind speed sensor (302), the multi-parameter monitoring sensor (303) and the flow rate sensor (304) are signal-connected to the signal receiving end of the industrial control computer.

5. The integrated intelligent monitoring system for oyster structure health and farming environment according to claim 4, wherein, The grating demodulation device is responsible for demodulating the wavelength change of the FBG sensor and converting it into stress and strain data, and the industrial control computer is responsible for collecting all sensor data and performing preliminary edge computing and data packaging.

6. The integrated intelligent monitoring system for oyster structure health and farming environment according to claim 5, wherein, The FBG structural health monitoring process includes:

7. The integrated intelligent monitoring system for oyster structure health and farming environment according to claim 6, wherein, S1: embedding FBG sensors in key stress concentration positions such as oyster rack main cross beams (3), loading longitudinal beams (4) and connecting beams (5) during composite material molding, so that they become part of the structure; 8. The integrated intelligent monitoring system for oyster fillet structural health and farming environment according to claim 7, wherein, S2: the FBG sensor real-time collects stress and strain change related wavelength signals of the oyster rack structure; S3: the wavelength signal is transmitted to the waterproof cabin on the oyster rack and connected to the grating demodulation device; S4: the grating demodulation device demodulates the received wavelength change; S5: the demodulated wavelength signal is converted into analyzable structural stress and strain data; S6: the stress / strain data is transmitted to the industrial control computer in the waterproof cabin; S7: the industrial computer performs preliminary edge computing on the data and filters seawater interference signals; S8: compare the processed stress / strain data with the preset safety threshold and identify whether there is fatigue damage; S9: if the data exceeds the standard or there is fatigue damage, the background system triggers a structure safety sound and light alarm and pushes the risk position information; if the data is normal, the data is archived to record the structure health trend, and finally the effect of active safety warning and prolonging the service life of the facility is realized. The aquaculture environment monitoring process includes: S10: installing a wind speed sensor (302) at a specified position of the oyster rack to real-time collect sea surface wind and wind speed data; S11: deploying a multi-parameter monitoring sensor (303) in the aquaculture water area to real-time collect dissolved oxygen, pH, salinity, turbidity and water temperature parameters; 9. The integrated intelligent monitoring system for oyster fillet structural health and farming environment according to claim 8, wherein, S12: deploying a flow rate sensor (304) in the aquaculture water area to real-time collect seawater flow rate data; S13: the monitoring signals of the wind speed sensor (302), the multi-parameter monitoring sensor (303) and the flow rate sensor (304) are connected to the industrial computer in the waterproof cabin through signal lines; S14: the industrial computer collects all environmental monitoring data and performs zero-point calibration processing; S15: compare the calibrated environmental data with the preset suitable threshold for oyster cultivation; ​ ​ S16: Determine whether the environmental parameters are abnormal (e.g., too low dissolved oxygen, too high wind speed, etc.); S17: If the parameters are abnormal, the background system outputs targeted control recommendations to guide the farmers to carry out precise feeding, disease prediction or emergency treatment (e.g., start the oxygenation equipment); S18: If the parameters are normal, the background system generates an environmental data daily report to provide a reference for breeding management; S19: With the support of continuous environmental data, the breeding decision-making is scientific, and the core effect of improving the quality and yield of oysters is achieved.

10. The integrated intelligent monitoring system for oyster fillet structural health and farming environment according to claim 9, wherein, The integrated monitoring linkage process includes: S20: The industrial computer in the waterproof cabin synchronously receives the FBG structural health data and environmental monitoring data; S21: The industrial computer uniformly packages and integrates the two types of data, and completes secondary edge computing optimization; S22: Through wireless transmission technology, the packaged integrated data is sent to the cloud or the shore-based background monitoring center in real time; S23: After receiving the data, the background monitoring center completes data storage and visualization; S24: Using the data analysis software built-in the background, the fatigue damage trend of the structural data is analyzed, and the time series trend of the environmental data is analyzed; S25: Determine whether the structural data is over-standard and whether the environmental parameters are abnormal, and perform double-state verification; S26: If there is a structural risk, a maintenance prompt is pushed; If there is an environmental abnormality, a control recommendation is pushed; if both are abnormal, the structural risk processing is prioritized; S27: If neither the structural data nor the environmental parameters are abnormal, the data is classified and archived to the oyster rack structural health database and the breeding environment database; S28: Based on the archived data, data support is provided for subsequent facility predictive maintenance and breeding scheme optimization; S29: Ultimately, the comprehensive effect of reducing operation and maintenance costs, prolonging the service life of the oyster rack, and promoting the digitalization and intelligentization upgrade of the marine ranch is achieved.

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