231 results about "Tidal Waves" patented technology

The invention discloses a microplastic transport simulation and risk identification method based on multi-factor coupling, which comprises the following steps: by coupling a hydrodynamic model and a microplastic transport model, comprehensively considering multiple environmental factors such as tide, water level, runoff, wind speed, wind direction and the like, constructing a wave flow coupling microplastic migration and diffusion model suitable for complex hydrodynamic conditions of a Pearl River estuary; the model is calibrated and verified through measured data, and the precision of the model is evaluated by using indexes such as a Nash efficiency coefficient and a root-mean-square error; in combination with the simulation result and the spatial distribution characteristics of the typical sensitive area, representative sections and stations are selected, and annual-scale micro-plastic concentration change analysis is carried out; and further introducing an ecological risk index to carry out regional ecological risk grade identification, and determining a micro-plastic high-risk area and influence main control factors. The method has high regional adaptability and expansibility, and scientific support and technical reference can be provided for prevention and control of microplastic pollution of estuary and coastal water.

The invention belongs to the technical field of crossing of environmental engineering and ocean dynamics, and particularly relates to a tidal dynamics prediction method and control device for a seawater desulfurization system, and the method comprises the steps: constructing a time-space coupling prediction model fusing multi-source hydrological observation data, and introducing a nonlinear dynamic weight distribution mechanism; the influence of terrain constraint, wind stress disturbance and upstream runoff on tidal propagation is quantified in real time, and a rolling prediction sequence of tide level phase, flow velocity gradient and salinity disturbance in the next three hours is output; the prediction result drives the scheduling of a desulfurization pump set, the adjustment of spraying density and the matching of aeration intensity, and the model weight is corrected on line based on the actually measured feedback of desulfurization efficiency to form closed-loop control. By means of the technical scheme, accurate cooperation of the operation parameters of the desulfurization system and tidal dynamics is achieved, meaningless energy consumption is reduced while the desulfurization efficiency is guaranteed, and the utilization rate of the desulfurization agent and the stability of the system are improved.

The embodiment of the invention provides an estuary region storm surge disaster assessment method and device. The assessment method comprises the steps of obtaining basic geographic data, meteorological data, tide and wave data and disaster-bearing body data of a preset region of an estuary region; constructing a discrete grid according to the basic geographic data; according to the tide and wave data, constructing a storm surge and wave numerical simulation model in a discrete grid; simulating different typhoon scenes in a numerical simulation model of the storm surge and the waves according to the meteorological data to obtain simulation results; evaluating according to the simulation result to obtain the danger level of each area; evaluating according to the disaster-bearing body data to obtain the vulnerability level of each region; and determining the comprehensive risk level of each area according to the danger level and the vulnerability level. According to the embodiment of the invention, the evolution process of storm surge disasters can be simulated more accurately, and then the comprehensive risk level of each area of the estuary region is determined.

The invention provides a digital twin model correction method and system based on machine vision. The method comprises the steps that a comprehensive data set is constructed by collecting sounding data, tidal flow velocity data and unmanned aerial vehicle images, wave disturbance deviation and water surface reflection distortion are eliminated based on geometric feature matching, and a dynamic compensation coefficient is generated in combination with tidal parameters; after time deviation of sounding data is corrected, a dynamic incidence relation between terrain elevation and sediment migration rate is calculated, a digital twinborn model fusing sedimentary layer thickness distribution and tidal flow velocity driven erosion boundary prediction is established, and a visual terrain curved surface is generated; through reverse verification of real-time sediment accumulation characteristics and terrain curved surfaces, migration rate weight parameters are adjusted in a self-adaptive mode, and dynamic optimization of the model is achieved. High-precision dynamic coupling simulation of sea area terrain evolution and sediment migration is achieved, the real-time performance and reliability of island surface change prediction are improved, and coastal zone safety and economic collaborative decision making is supported.

The invention relates to a sea area island remote sensing information change monitoring method and system, and relates to the technical field of remote sensing monitoring, and the method comprises the steps: obtaining a remote sensing image time sequence of a target sea area island, the remote sensing image time sequence comprises a plurality of remote sensing images, and each remote sensing image has an acquisition timestamp; collecting tide height information corresponding to the target sea area island at each collection timestamp, and water depth distribution information of the monitored sea area where the target sea area island is located; and performing correction processing on each remote sensing image according to the tidal height information and the water depth distribution information corresponding to each acquisition timestamp, and generating an island boundary contour change time sequence. The invention solves the problems that the traditional sea area island remote sensing monitoring adopts a single-moment image for analysis, the real coastline change and temporary boundary offset caused by tide cannot be distinguished, the boundary extraction precision is reduced due to shallow water area seabed reflection interference, the monitoring error is large, and the monitoring precision is low. The application precision requirements of sea area management, coastal zone protection and the like cannot be met.

The invention relates to the technical field of port operation state sensing and monitoring, and particularly discloses a port operation state sensing and monitoring system based on a data center, which monitors a wind speed value and a visibility value at each current time point in real time through a micro weather station array, and synchronously obtains tidal phase data of an observatory. Comprehensively generating multi-dimensional meteorological data in a set time period; dynamically calculating the berthing safety coefficient of the target ship through a multi-dimensional constraint condition in combination with the load tonnage of the target ship; according to the target ship berthing safety coefficient, a dynamic ship berthing strategy of the target ship is generated; through comprehensive application of multi-dimensional meteorological data acquisition, berthing safety coefficient calculation, dynamic ship berthing strategy generation and a feedback terminal, a port manager can monitor and optimize the ship berthing process in real time. Therefore, the operation safety and efficiency of the port are improved, a more scientific and flexible berthing scheme is provided for the ship, and the sustainability and economic benefits of port operation are ensured.

The invention discloses a near-shore wave-flow field-sediment coupling simulation method considering a wave breaking nonlinear effect, and belongs to the field of near-shore hydrodynamics, and the method comprises the steps: inputting WRF high-resolution wind field, tide boundary conditions and water depth information, and initializing a wave module, a flow field module and a sediment module; calculating local wave breaking dissipated energy by adopting an improved wave breaking energy dissipation formula to obtain a wave energy density spectrum and a breaking probability; a near-shore flow field is calculated under radiation stress nonlinear correction, and hydrodynamic boundary conditions are updated; calculating sediment suspension and deposition by using a coupling diffusion coefficient, and updating sediment concentration distribution; waves, flow fields and sediment are mutually coupled through loop iteration, and coastal wave-flow field-sediment simulation is achieved under extreme conditions such as typhoons, storm surge and strong storm waves. The method can improve the prediction precision of the wave height, the flow velocity and the sediment concentration under the condition of offshore strong storm waves, and is used for typhoon storm surge prediction, harbor basin deposition evaluation and offshore ecological environment management.

The invention provides an island shoreline erosion risk prediction method based on computer vision, and belongs to the technical field of island shoreline erosion risk analys.The island shoreline erosion risk prediction method comprises the steps that firstly, a high-resolution remote sensing image is obtained, island contour information is extracted, and a shoreline initial model is constructed through a small grid approximation method; generating multi-level grid representation through grid merging operation and storing the multi-level grid representation as a shoreline feature matrix; then collecting a multi-time sequence remote sensing image, calculating a change matrix set of adjacent time points, and analyzing a shoreline evolution mode; establishing a coast erosion kinetic equation model by combining the wave action intensity, the tide amplitude, the sea level rising rate, the geological structure coefficient and the shoreline slope angle; a shoreline change rule is analyzed by applying a map attention grid evolution model, and finally, an uncertainty analysis module is introduced, a multi-scale erosion risk assessment map is generated, a high-risk area is identified and output as a prediction result, so that the technical problem that the complicated island shoreline erosion risk is difficult to accurately predict is solved.

The invention belongs to the technical field of ocean engineering, and particularly provides an offshore floating platform and a modular multifunctional offshore floating platform system.The offshore floating platform comprises a main body structure layer, a building module layer and a floating body layer, and the main body structure layer is provided with a plurality of buffer assemblies; the buffering assembly comprises a fixing sleeve, a supporting rod and a buffering mechanism. The buffer mechanism is arranged in the fixed sleeve, a flowing gap is reserved between a lantern ring of the buffer mechanism and a vertical rod of the I-shaped section of the supporting rod, and the flowing gap is filled with magnetorheological fluid; the lantern ring comprises a middle fixed section, a first flexible section and a second flexible section; the first pneumatic sleeve is positioned on the outer side of the first flexible section; the second pneumatic sleeve is positioned on the outer side of the second flexible section; and the winding coil is wound on the circumferential outer wall of the middle fixed section. The offshore floating platform can counteract vertical fluctuation energy caused by the action of waves or tides in real time, so that vertical vibration of the offshore floating platform can be buffered, the stability and safety of the building module layer are ensured, and the offshore operation difficulty is reduced.

The invention discloses a significant wave height time sequence intelligent prediction method based on deep learning, and the method comprises the steps: S1, obtaining a wave data set, and carrying out the preprocessing of the wave data set; s2, performing modal decomposition on a time sequence in the processed wave data set by adopting an empirical mode decomposition algorithm, and splicing a modal decomposition result with the processed wave data set to obtain an enhanced time sequence feature; s3, constructing a significant wave height time sequence prediction model, and performing focused learning on frequency components, which have significant influence on the significant wave height, in the enhanced time sequence features through an adaptive fusion mechanism to obtain a trained significant wave height time sequence prediction model; and S4, predicting the significant wave height of the time point needing to be predicted. According to the method, the significant wave height time sequence prediction model can simultaneously capture local details (such as wind speed abrupt change) and a global trend (such as tidal cycle) of wave generation by obtaining enhanced time sequence characteristics; by learning the frequency components which have obvious influence on the significant wave height in the enhanced time sequence characteristics, the complex dynamic state of the marine environment can be modeled more accurately, so that the prediction precision of the significant wave height is improved.

The invention relates to the technical field of port engineering construction, in particular to a tide wave joint test method and system based on multi-source data in port engineering construction. At present, the problems of insufficient data utilization, low test precision and the like exist in tide and wave joint test in port engineering construction. The method comprises the following steps: constructing a nested unstructured grid and dynamically configuring discrete parameters of a wave direction spectrum; a variation assimilation algorithm is adopted to optimize hydrodynamic parameters; solving a wave flow coupling equation to generate a combined field data set; the pile foundation stress is calculated in combination with an improved Morison equation, and a safety evaluation report is output through basin resonance characteristic analysis; the system sets corresponding modules to realize various functions based on the method. The device is mainly used for precise combined testing of tidal waves in port engineering construction so as to guarantee the safety of an engineering structure.

The invention relates to a tide level obtaining method and system based on an OWC wave energy conversion device. The method comprises the following steps: constructing an energy loss prediction model in the air chamber; acquiring field incident wave energy, reflected wave energy, water potential energy increment, kinetic energy increment and pneumatic output energy at the current time period; inputting incident wave energy and reflected wave energy into the model to obtain predicted energy loss; and the tide level variation is solved based on the energy conservation relational expression, and the current tide level is calculated. The system comprises an energy loss prediction module, a wave energy acquisition module, a water body energy acquisition module, a pneumatic output acquisition module, an energy loss calculation module, a tide energy solving module and a tide level calculation module, which cooperatively realize the method. According to the scheme, an external tide gauge station is not needed, the local sea area tide level can be inversed in situ, at high frequency and with high precision, the method is suitable for an OWC-breakwater fusion scene, and cooperative operation of a port and ocean energy is supported.

The invention discloses an offshore early warning threshold determination method for abnormal waves caused by land frame waves, and belongs to the technical field of marine disaster risk management, and the method comprises the steps: obtaining bottom water flow pressure data collected by a preset seabed pressure sensor array, and sea surface micro-deformation data of satellite remote sensing; reverse deduction is carried out according to the bottom water flow pressure data and the sea surface micro-deformation data, and a land frame wave three-dimensional energy field is reconstructed; carrying out coupling calculation by utilizing the land frame wave three-dimensional energy field to generate dynamic energy coupling parameters; and outputting an abnormal wave early warning signal according to the dynamic energy coupling parameter and a preset dynamic early warning threshold. According to the method, the three-dimensional energy field is reconstructed through the multi-source monitoring data, the terrain and tide dynamic coupling calculation is fused, the adaptive early warning threshold decision is realized based on the energy focusing characteristics, and the accuracy and timeliness of offshore engineering disaster prevention can be remarkably improved.

The invention relates to the technical field of water conservancy projects, in particular to an anti-seepage control system for an earth rock cofferdam. The method comprises the following steps: periodically acquiring external hydro meteorological data and internal structure response data of a cofferdam through a sensor group based on a monitoring unit; establishing a multi-field coupling model based on a finite element method through a model building unit, and dynamically coupling a wave load, a tidal water level and an osmotic pressure field; the minimum cofferdam crest elevation is determined by comparing the difference between the minimum safety coefficient and a preset safety coefficient on the basis of a decision-making unit; and based on the analysis unit, inputting the minimum cofferdam crest elevation into the multi-field coupling model to obtain the maximum value of the hydraulic gradient of the escape point of the downstream slope within a third preset time period, determining an anti-seepage state based on the maximum value, and adjusting related parameters based on the anti-seepage state. The seepage risk of the cofferdam is monitored, predicted and actively controlled in real time, so that the seepage rate of the earth rock cofferdam is reduced.

The invention discloses a tidal harmonic analysis method and device based on a tidal time-varying mode, and high-precision processing of tidal data and dynamic updating of harmonic constants are realized by constructing a complete technical route including gross error detection, default filling, time-varying analysis and sequential adjustment. According to the method, firstly, actually measured water level observation data are collected, a water level residual error sequence after long-term trend and periodic components are removed is extracted based on seasonal trend decomposition, statistical analysis is conducted on the residual error sequence through a gross error detection method based on standard deviation and quartile distance, and abnormal data are accurately recognized and removed. And carrying out smooth recovery on default data by adopting an interpolation filling algorithm based on cubic Hermite and fast Fourier transform, and constructing continuous and complete water level time sequence data. According to the method, the data quality is effectively improved, the change rule of tide parameters can be reflected more truly, and the precision of tide correction operation in ocean sounding is remarkably improved.

The invention belongs to the technical field of calculation of horizontal bearing capacity of foundations, and particularly discloses and provides an accurate calculation method for horizontal bearing capacity of an offshore wind power foundation, which comprises the following steps: integrating wave spectrum, wind regime, tide and soil mass parameters to form a multi-dimensional data set; a three-dimensional pile-soil model is constructed, and wave force and wind load are coupled; calculating a stiffness coefficient and identifying a pile body type in combination with a length-diameter ratio; quantifying an environment deviation compensation coefficient according to the pile body type; after the initial horizontal bearing capacity is calculated, the bearing capacity failure critical state is judged based on real-time displacement monitoring data, and if the critical state is reached, the initial bearing capacity is corrected through linear weighting of the displacement deviation compensation coefficient and the environment deviation compensation coefficient. According to the method, the time-varying environment load is dynamically coupled, the pile-soil interaction is finely simulated, a rigidity self-adaptive grading mechanism and a double compensation feedback system are established, and the calculation precision and the real-time early warning capability of the horizontal bearing capacity in the complex marine environment are remarkably improved.

The invention provides an intertidal zone repairing method based on dredged soil microtopography remodeling. The intertidal zone repairing method comprises the following steps that (1) a submerged dike is built in an offshore intertidal zone; (2) the dredged soil is uniformly thrown and filled in an offshore beach, and the dredged soil is self-balanced and dispersed between the offshore beach and the submerged embankment under the action of ocean water power and tide; and (3) the inshore beach is filled with the restoration composition, and ecological protection and restoration of the ocean shoreline are completed through the water and sand combined action. The remediation composition comprises grass seeds and sandy soil. According to the method, self-balancing dispersion and water-sand comprehensive effects are integrated, the repairing effect of an intertidal zone can be remarkably improved, the stability of a beach face is improved, and the wave scouring condition is reduced.

The invention provides an efficient processing and report generation method, system and equipment for tide level data and a medium. The method comprises the following steps: S1, obtaining original tide level data and carrying out data continuity analysis; s2, de-noising processing is carried out on the tide level data to obtain processed tide level data; s3, performing interpolation processing on the processed tide level data to obtain interpolated tide level data; s4, extracting tide level characteristic parameters from the normalized tide level data after interpolation correction; s5, performing identification and lunar calendar conversion on related Gregorian calendar dates; and S6, generating a standardized report based on the extracted tide characteristic parameters. Through automatic data denoising, interpolation, feature extraction and other processing, the processing efficiency and accuracy of the tide level data are greatly improved, and the defects of manual processing are effectively overcome; meanwhile, by means of an intelligent report generation mode, the analysis result of the tide level data is more visual and readable, and a user can conveniently and rapidly obtain needed key information.

The invention discloses a marine environment spring layer characteristic diagnosis data processing method, and aims at complex dynamic characteristics of a land frame edge sea spring layer to realize accurate diagnosis through multi-source data cooperation and an intelligent algorithm. The method comprises the following steps: acquiring and preprocessing field observation, remote sensing, sonar, terrain and tidal ocean current data; extracting spatio-temporal characteristics based on a CNN-LSTM hybrid network, and generating a dynamic spring layer threshold; fusing multi-source data by adopting an improved D-S evidence theory, and constructing a three-dimensional spring layer characteristic field; predicting an internal wave in combination with an attention mechanism model, and optimizing a preorder model by using sonar data. The method breaks through the limitation of a fixed threshold value, realizes spring layer dynamic identification, three-dimensional reconstruction and internal wave prediction, improves the diagnosis precision of a complex sea area, and provides key technical support for underwater detection, engineering safety and environmental research.

The invention discloses an electromagnetic field simulation method under the coupling action of tidal waves and sea waves. The method comprises the steps that input parameters of the tidal waves and the sea waves are set; configuring environmental parameters and geomagnetic conditions; superposing the tidal wave velocity field and the sea wave disturbance velocity field to form a total velocity field; the tidal wave part and the sea wave part are linearly coupled in time and space to obtain a tidal wave-sea wave coupling field evolved along with a tidal phase; in the tidal wave-sea wave coupling field, electromagnetic response calculation is executed on each frequency-direction sampling point; general field synthesis and modulation effect analysis: introducing a tidal wave modulation factor to clearly reflect amplitude periodic change and spectrum reconstruction characteristics of an electromagnetic field signal along with a tidal phase; and outputting a time sequence, an amplitude spectrum and a spatial distribution result of the comprehensive electromagnetic field. According to the method, the authenticity and applicability of sea wave induction electromagnetic field simulation can be improved, and a new technical means is provided for electromagnetic noise recognition, sea wave parameter inversion and complex ocean dynamics process research.

The invention discloses an ocean current monitoring method, device and equipment based on a video image and a storage medium, and relates to the technical field of ocean current monitoring, and the method comprises the steps: carrying out the preprocessing of a video image of a target sea area, and the preprocessing comprises the framing processing and optical flow calculation of the video image; extracting spatial features of water surface ripple shapes and floating object distribution from the preprocessed video images through a spatial flow network; capturing time sequence characteristics of tidal cycle and vortex evolution of the preprocessed video image through a time flow network; the spatial features and the time sequence features are fused as spatial-temporal features, and ocean current parameters are calculated based on motion vector integration; eliminating noise interference of ocean current parameters based on multi-scale data fusion so as to generate an ocean current field distribution model; and monitoring the ocean current of the target sea area by using the ocean current field distribution model. Based on the video image, the ocean current of the target sea area can be finely monitored in a large range, the ocean current field distribution model can be used for accurately and quickly monitoring, and compared with the prior art, the method is more efficient.

The invention discloses a lunar balance dynamic parameter high-precision resolving method and system combining LRR and LLR technologies, and belongs to the field of deep space exploration and celestial body dynamics, and the method comprises the steps: constructing an LRR and LLR combined observation data set, and carrying out the preprocessing; constructing an LRR and LLR combined moon measurement model, and deducing a partial derivative of the model for a moon rotation parameter and a tidal LOVE number to obtain a combined partial derivative matrix; iterative solution is carried out through nonlinear least square to obtain dynamic parameters of the moon balance; and evaluating a resolving result and optimizing a resolving strategy, and optimizing a resolving scheme by dynamically adjusting the weight, improving a tide model and eliminating abnormal values. According to the method, the parameter calculation error is reduced, the technical advantages of two types of data are effectively integrated, the problem of insufficient observation continuity or precision of a single data source is solved, and reliable parameter support is provided for moon rotation and internal structure research.

The invention discloses an active and passive fusion water depth inversion method based on adaptive spectrum weighting, and the method comprises the steps: carrying out the atmospheric correction of a multispectral satellite image, extracting a target region, and removing a land region and a deepwater region; the method comprises the following steps: acquiring a seawater point cloud of a satellite-borne photon counting laser radar in a target area, extracting sea surface and seabed information, and performing refractive index correction and tide correction to obtain a reference water depth; matching each pixel in the multispectral satellite image with a reference water depth, and dividing the multispectral satellite image into a reference pixel and a to-be-measured pixel; according to the spectral value of the multispectral satellite image, the Euclidean distance between each to-be-measured pixel and all reference pixels is calculated, and the reciprocal of the distance is used as the weight of each reference pixel; and introducing a weight-to-weighted least square method, and fitting a relationship from the spectral value to the water depth for each pixel to be measured to realize water depth inversion of the pixels to be measured. The method can effectively improve the active and passive fusion water depth inversion precision when the water depth distribution is uneven and the shallow sea area environment is complex.

The embodiment of the invention provides a sea wave height determination method and device, a storage medium and electronic equipment, and the method comprises the steps: segmenting target point cloud data into a plurality of time sequence frames, and determining a wave crest region and a wave trough region of sea waves according to a local extreme point in the target point cloud data, each time sequence frame is used for indicating the sea surface shape at each moment; according to the wave crest area, the wave trough area and the multiple time sequence frames, a target sea wave contour model is fitted, and the target sea wave contour model is used for indicating the sea wave height and the three-dimensional shape of the sea wave at each time point; and determining the sea wave height at any time point based on the target sea wave contour model. According to the method, the problem that high-precision sea wave height data cannot be provided under complex sea conditions such as high storm waves and changeable tides in the prior art can be solved.

The invention provides a tide level prediction method and device and a server, and relates to the technical field of tide prediction, the method is applied to a tide level prediction model, the tide level prediction model comprises a harmonic analysis model, and the method comprises the following steps: carrying out harmonic analysis processing on original tide level data through the harmonic analysis model, determining an astronomical tide predicted value and non-astronomical tide data of the tide; performing decomposition and noise reduction processing on the non-astronomical tide data, determining various modal components of the non-astronomical tide, and determining a non-astronomical tide predicted value based on the gating cycle model and the modal components; and superposing the non-astronomical tide predicted value and the astronomical tide predicted value to determine a target tide level predicted value. The precision of tide level prediction can be remarkably improved.

The embodiment of the invention provides a sea surface wind wave detection method and system based on Beidou reflected signals. The method is applied to the technical field of sea surface wind wave detection, and comprises the following steps: acquiring and processing Beidou direct reflection signals through a double-antenna system to obtain feature and orbit data; calculating reflection point positions and tide correction according to the characteristic orbit data to obtain reflection area characteristics; evaluating sea surface roughness based on the regional features and identifying interference to obtain scattering features; modeling and inverting wind wave parameters according to the scattering characteristics to obtain original data; fusing and screening multi-source observation according to the original data to obtain quality control data; and evaluating and optimizing system parameters by using the quality control data to obtain a storm detection result. According to the invention, interference sources such as land reefs and the like can be effectively identified and processed, and Beidou reflected signal sea surface wind wave detection based on high-precision wind wave parameter inversion is realized.

A system for determining minimum and maximum water depth value at a location on a body of water is provided. The system utilizes various data sources, including historical and community-sourced data, environmental data, geographical data, and sensor data, to provide an accurate and dynamic estimation of the minimum and maximum water depth value. By considering multiple factors affecting water depth, such as tides, and weather conditions, the system enables safer navigation. Users can input a location and receive the minimum and maximum water depth value, which is continuously updated based on the latest available data. The system also facilitates route planning by determining the minimum water depth values along a route and providing alerts when necessary, allowing users to make informed decisions and navigate safely. By leveraging diverse data sources, the system provides a comprehensive and reliable solution for determining minimum and maximum water depth values compared to existing systems.

To solve such a problem that cultivation of seaweeds that generate blue carbon is committed to a natural environment which is very limited to shallows where sunlight reaches (=0.2% of the entire sea), the cultivation region may decrease but cannot increase because of installation of a port, tourism development such as a swimming beach, and expansion of commercial facilities, sunlight sometimes cannot sufficiently reach the cultivation region because of weather conditions and the ebb and flow of the tide, which makes the cultivation insufficient, and furthermore, an outbreak of red tides may inhibit algae from growing.SOLUTION: In a blue carbon system, a sealed wooden box is installed to each of the four corners of a wooden frame of a 12 m-sized wooden artificial island unit; a culture soil unit for cultivating algae is placed on the wooden frame; buoyancy of the four sealed wooden boxes and weight of the culture soil unit are controlled to be well balanced; and upper sides of the four sealed wooden boxes are set to be exposed from the water by approximately 30 cm while taking the water depth into account so as to provide a best growth condition of the algae.SELECTED DRAWING: Figure 1

The invention relates to the technical field of trestle construction platforms, in particular to an offshore lamplight trestle construction platform which comprises a supporting column, a bridge floor is detachably installed at the upper end of the supporting column, limiting seats are fixedly connected to the upper end and the lower end of the supporting column, the outer surface of the supporting column is sleeved with a movable barrel, the outer surface of the supporting column is further sleeved with a balance weight ring, and the balance weight ring is located below the movable barrel. The outer surface of the movable cylinder is sleeved with an auxiliary ring, the outer surface of the auxiliary ring is rotationally provided with a plurality of extension rods, the outer surfaces of the extension rods are sleeved with floating belts, the floating belts can float above the sea level, the movable cylinder automatically ascends and descends along with the sea level under the buoyancy action of the floating belts, and the communication cylinder is kept in isobaric communication with an external water body. The water column pressure formed in the rising process of sea waves and tides can automatically drive the turbofan in the driving barrel to rotate, so that continuous mechanical energy output can be achieved without additional power, and then the cleaning ring is driven to circularly clean the outer surface of the supporting column.

The invention discloses an intelligent management and control system for a digital flow of port production operation, and particularly relates to the field of data management, and the system comprises a port order information extraction module, an operation plan generation module, a port departure operation perception module, an operation risk analysis module, a position recognition module, an abnormal meteorological analysis module, and an operation load prediction module. According to the method, the operation plan is produced, time state sensing and departure ship monitoring are carried out based on the operation plan, and then the operation risk is analyzed, so that departure is flexibly adjusted, position deviation and meteorological abnormity are sensed through the positioning equipment and the environment sensing terminal after departure, and the working efficiency is improved. When the position of the ship deviates due to stormy waves, the weather and deviation relevance is quantified, and the subsequent operation plan is optimized accordingly, so that the future production operation difference caused when the port operation is greatly influenced by external factors such as weather, tide and channel conditions is avoided, and the operation and transportation efficiency can be improved on the premise of ensuring normal production operation.