1261 results about "Algae" patented technology

The invention relates to the technical field of carbon sequestration capacity monitoring, in particular to a carbon sequestration capacity monitoring and evaluating method for an island ecosystem, which comprises the following steps: S1, multi-source data fusion and habitat partitioning: dividing an island habitat type partitioning map; s2, stratified sampling and carbon reserve actual measurement: measuring the carbon content, and constructing a carbon reserve actual measurement database; s3, constructing a dynamic carbon sink model: carrying out a whole growth cycle environment simulation experiment on sea grass and algae in different habitats, and establishing the dynamic carbon sink model taking habitat types as classification units; s4, carbon sequestration capability quantification and bottleneck diagnosis: calculating carbon sequestration contribution values of various habitat types, identifying low-efficiency carbon sequestration areas through contribution value comparison, and analyzing environmental limitation factors of the low-efficiency carbon sequestration areas; and S5, integrating a sink increasing technology and generating a path: designing a habitat specific sink increasing scheme for the identified low-efficiency carbon sink area. According to the invention, high-precision monitoring, intelligent evaluation and system optimization of the island ecosystem carbon sequestration capability are realized.

The invention discloses an offshore red tide multi-parameter real-time monitoring method and monitoring system based on a buoy array. The method comprises the following steps: S1, performing array deployment and topology configuration according to a sea area sensitivity degree, tide characteristics and a historical red tide trajectory; according to the invention, through risk differentiation buoy array deployment and redundancy topology, traditional isolated monitoring limitation is solved, and sea area full coverage and red tide diffusion tracking are realized; physical-chemical-biological multi-source sensing and in-situ detection are combined with data fusion, so that the problem of single parameter is solved, and the monitoring accuracy is improved; by means of liftable stratified sampling and in-situ algae species and toxicity analysis, the vertical monitoring blank is filled up, and the complete life cycle process of red tide from occurrence to regression is completely captured; through linkage of edge-cloud multi-model early warning and field equipment, a'monitoring-early warning-disposal 'closed loop is formed, and the red tide monitoring real-time performance and the emergency response capability are greatly improved.

The invention relates to the technical field of remote sensing imaging, in particular to a marine organism monitoring method and system based on a remote sensing technology, and the method comprises the following steps: constructing an environment layer based on a remote sensing image and sensing data, analyzing the relation between a spectrum and an environment, monitoring changes, recognizing the spatial distribution of species, extracting a migration path, and superposing environment factors to analyze ecological response. And outputting a remote sensing indication species ecological response interaction layer. According to the method, the remote sensing image and environmental data are sorted and denoised, multi-dimensional factors are effectively integrated, data precision is enhanced, noise interference is eliminated, spectral change and water temperature gradient deviation are combined, abnormal pixels are accurately screened, sea area change trend is insight in advance, key wave bands and hot salt structures are extracted, target organisms are accurately positioned, and identification efficiency is improved. Analyzing a space offset track, restoring a migration path, constructing a dynamic evolution view angle, superposing water temperature and algae changes, analyzing time sequence synchronization characteristics, revealing ecological response turning points, and strengthening early warning and dynamic monitoring capabilities.

The invention relates to the technical field of ship mooring bollards, and discloses a multifunctional ship mooring bollard which comprises a mounting plate, two mooring bollard bodies are arranged on the upper side of the mounting plate, a supporting block is fixedly arranged at one end of the mounting plate, and a processing assembly is arranged at the upper end of the supporting block; the treatment assembly comprises a cylinder, a movable ring is movably arranged in the cylinder, a plurality of ejector rods are slidably arranged on the inner wall of the movable ring in the radial direction, and a movable part is fixedly arranged at one end of each ejector rod; the surface of the cable can be brushed through rotation of the brush blocks, so that stubborn attachments such as oil stains and algae on the surface of the cable can be brushed and removed. And the second cleaning part and the first cleaning part rotate to clean the surface of the cable, and the second cleaning part is in an inclined state, so that attachments on the surface of the cable can be cleaned layer by layer, and the cable surface treatment effect is improved.

A system and method for quantifying CO2 capture by photobioreactors using microalgal biomass are disclosed. The method involves accurately quantifying carbon dioxide capture by photobioreactors using microalgal biomasses involves determining a unique ratio relating carbon consumed to biomass produced for each microalgae strain. This ratio is then used to predict CO2 removal from flue gases or industrial processes based on the dry mass of the corresponding biomass produced. Machine learning models are also trained on data obtained from the photobioreactors to predict CO2 consumption rates under varying conditions, thereby enhancing the accuracy and efficiency of carbon capture technologies.

The invention belongs to the technical field of microbial fermentation and food engineering, and discloses a fermentation method for enhancing the production capacity of schizochytrium limacinum phospholipid DHA and application, schizochytrium limacinum is subjected to fermentation culture for 32-60 h, and the addition of an organic nitrogen source and phosphate is optimized in the fermentation culture process; the formula of a seed culture medium for culturing schizochytrium limacinum is not changed, and only the formula of a fermentation culture medium for schizochytrium limacinum is changed. The invention provides a fermentation strategy for enhancing the production capacity of the schizochytrium limacinum phospholipid DHA, and the schizochytrium limacinum can obtain the phospholipid DHA with higher content by optimizing an organic nitrogen source and phosphate in a schizochytrium limacinum fermentation culture medium. According to the obtained schizochytrium limacinum grease, the total DHA content is obviously increased compared with that of a traditional fermentation strategy, and the proportion of phospholipid DHA is also remarkably increased. The regulation and control method is applied to preparation of schizochytrium limacinum algae powder, the schizochytrium limacinum algae powder rich in phospholipid DHA is obtained, and application of the schizochytrium limacinum algae powder in the field of aquatic feed is facilitated.

The invention relates to the technical field of waterweed planting, in particular to a waterweed planting device suitable for shrimp and crab ponds.The waterweed planting device comprises vertical plates arranged in a bilateral symmetry mode, and a waterweed discharging mechanism used for placing a large number of waterweed seedlings is arranged between the rear sides of the vertical plates on the left side and the right side; an algae inserting mechanism used for grabbing waterweed seedlings at the bottommost position of the algae discharging mechanism and transplanting the waterweed seedlings is arranged between the front sides of the vertical plates on the left side and the right side, and the algae discharging mechanism comprises a plurality of seedling placing groove frames which are arranged between the vertical plates on the left side and the right side at equal intervals in the left-right direction. According to the technical scheme, adaptive adjustment can be carried out according to the planting plant spacing requirement of the elodea nuttallii seedlings, the applicability is high, meanwhile, the seedling plant quality of the elodea nuttallii seedlings is effectively guaranteed through a multi-point type automatic pushing seedling discharging mode, the survival rate of the elodea nuttallii seedlings is increased, the seedling clamping and seedling inserting processes can be automatically carried out, and the planting efficiency of the elodea nuttallii seedlings is effectively guaranteed.

The invention discloses an extraction preparation method and application of algae micromolecule PDRN, and relates to the technical field of biology. The invention establishes a process for extracting PDRN from microalgae, which comprises the following steps: carrying out cell disruption on microalgae liquid, and removing cell debris to obtain filtrate; the filtrate is subjected to DNA dissolution, DNA separation and DNA purification, and a PDRN solution is obtained; wherein the dry weight of the microalgae in the algae liquid is 0.1 to 0.333 g / mL. Through process optimization, the extraction efficiency and purity of the microalgae PDRN are improved, and the extracted PDRN has excellent anti-aging and anti-inflammatory effects.

The invention discloses a rice-fish symbiosis multifunctional water quality monitoring and analyzing device and a use method. The device comprises the following core modules: a data acquisition module, which is responsible for acquiring water quality data from front-end monitoring equipment in real time; the data processing module is used for deeply processing the collected water quality data and image information; the data analysis module is used for introducing a prediction model based on machine learning and accurately predicting a future water quality change trend in combination with historical water quality data and real-time monitoring data; the intelligent decision support module is responsible for automatically identifying potential risks in water quality and generating targeted intelligent decision suggestions according to the potential risks; according to the method, image recognition and spectral analysis technologies are introduced, a high-definition camera, a precise underwater spectrometer and other equipment are utilized, and a deep learning algorithm and a spectral database are combined, so that precise recognition and classification of suspended solids, algae and other biocenosis in water are realized, and more comprehensive and multi-dimensional information is provided for water quality evaluation.

The invention provides an intelligent algae analysis method and system, and the method comprises the steps: S1, collecting a microscopic image in a microfluidic channel through a flow analyzer based on a target water body; s2, accurately marking the category, the position and the boundary characteristics of the microalgae in the microscopic image by using a marking tool supporting image segmentation and classification in combination with corresponding microalgae classification data; s3, based on the pre-training weight of the Ground SAM, performing fine tuning optimization on the model by using a transfer learning method so as to adapt to microalgae detection; s4, preprocessing the microscopic image acquired in the step S1; s5, for the preprocessed microscopic image, on the basis of the training model in the step S3, realizing target detection and segmentation of microalgae in the microscopic image by using Ground SAM; and S6, counting the types and volumes of the microalgae, identifying the types of the algae, and calculating the density of the algae. Under the support of the flow analyzer, each microalgae cell is accurately detected and counted, so that more detailed algae density data is obtained.

The invention relates to the technical field of microorganisms, and provides heteromorpha sp. RXH-HY13 and application of the heteromorpha sp. RXH-HY13. The invention provides a dysococcus globosum RXH-HY13, which is preserved in the China Center for Type Culture Collection on July 11, 2024, the preservation number of the dysococcus globosum RXH-HY13 is CCTCC NO: M 20241535, and the preservation number of the dysococcus globosum RXH-HY13 is CCTCC NO: M 20241535. The invention also provides an application of the special-shaped algae RXH-HY13. The special-shaped algae RXH-HY13 is used for enriching at least one of organic selenium and carotenoid in a selenium ion stress environment; the invention also provides another application of the heteromorphic algae RXH-HY13. The application comprises the step that the heteromorphic algae RXH-HY13 is used for preparing a product rich in at least one of organic selenium and carotenoid. The special-shaped algae RXH-HY13 provided by the invention has certain tolerance to a selenium ion stress environment, so that the special-shaped algae RXH-HY13 not only can enrich organic selenium in the selenium ion stress environment, but also can promote accumulation of various carotenoids, and has the effect of synergistically enriching the organic selenium and the various carotenoids.

The invention relates to the technical field of biological recognition, in particular to a procambarus clarkii disease recognition edge computing system based on an improved YOLOv5 algorithm. According to the technical scheme, the system comprises a data acquisition and preprocessing module, a disease detection model based on an improved YOLOv5 algorithm, a multi-label association classification module and an edge cloud collaborative reasoning module. The definition of the obtained image is improved through the multispectral imaging unit, image details are enhanced through the improved MSRCR algorithm, meanwhile, water turbidity interference and algae shielding influence are eliminated, the false detection rate is reduced, in addition, the extraction capacity of small targets and complex features is improved through the backbone network module, and the detection accuracy is improved. According to the invention, basic disease identification can be realized in an off-network state through the local decision-making unit, the real-time requirement of edge equipment is met, an instant diagnosis result is provided, and the overall diagnosis accuracy is effectively improved in combination with the cloud enhancement unit.

The invention provides a salt-tolerant plant constructed wetland system for treating eutrophicated mariculture wastewater, which specifically comprises a lower filler formed by mineral materials, and a middle filler formed by modified zeolite, sodium alginate coated vermiculite, rice husk charcoal, oyster shell, coral sand and diatomite, the surface filler is composed of intertidal zone bottom mud, intertidal zone raw water, coastal saline-alkali soil and composite algae powder, and the three fillers are combined with salt-tolerant plant breeding, bow-shaped water flow optimization and layered collaborative design; the core problems of poor salt tolerance, low adsorption efficiency, easiness in blockage, high maintenance cost and the like of the traditional constructed wetland during treatment of the mariculture wastewater are systematically solved.

Some aspects of the disclosure relate to composite materials and cultivation systems with particular utility for use in aquaculture, for example cultivating various species of seaweed. The systems comprise at least one highly tortuous and often micro-fibrous material and at least one material having low tortuosity. These systems may be configured in a variety of shapes and associated with a number of different structures. Some of these composite materials and cultivation systems may be used in both direct and indirect seeding of macroalgae plants such as seaweed.

The invention discloses a bacterial strain for degrading aspartame, a bacterial-algae symbiotic system and application of the bacterial strain and the bacterial-algae symbiotic system, the bacterial strain is corn sphingomonas zeae NCU J1, and the preservation number of the bacterial strain is CCTCC (China Center for Type Culture Collection) NO: M 20251462. And an algal-bacterial symbiotic system is constructed by adopting an oriented symbiotic combination of the corn sphingomonas NCU J1 and the chlorella sp. The corn sphingomonas NCU J1 can metabolize an artificial sweetening agent aspartame and degradation products thereof, metabolism complementation can be achieved through an algal-bacterial symbiotic interface, and bacteria preferentially promote aspartame to be subjected to photohydrolysis to generate degradation products such as diketopiperazine derivatives. The microalgae synchronously start isomerism enzymatic reaction to convert degradation products such as diketopiperazine derivatives into low-toxicity products, the risk of secondary pollution is reduced by 40% or above compared with that of a traditional physical and chemical method, 150 mg / L aspartame can be efficiently degraded within 2 days, generation of derivatives of aspartame can be greatly reduced, secondary pollution is reduced, and the method is suitable for industrial production. And the method has a good application prospect in the aspect of rapidly treating aspartame-containing wastewater.

The invention discloses an hour-scale lake algal bloom space distribution prediction method based on a stationary satellite, and the method comprises the steps: obtaining the hourly wind speed, wind direction, air temperature and other meteorological data and GOCI series satellite remote sensing data, and extracting the algal bloom coverage through an algal bloom recognition index; based on the priori knowledge of wind-driven algae bloom migration and accumulation, constructing a new characteristic index by using a wind direction and a remote sensing index; selecting representative algal bloom samples, extracting data such as wind speed, air temperature and remote sensing indexes of sample points in the same time period to construct a sample database, training a machine learning model and verifying the model precision; the model is applied to a typical eutrophicated lake to test the precision performance of the model, and the algal bloom distribution condition at the current moment and the environmental data at the subsequent moment are utilized to predict the algal bloom spatial distribution change of the lake hour by hour through model iteration. According to the method, prediction and early warning of the spatial position and the outbreak intensity of lake algal blooms in an hour scale can be realized, and prevention and control of eutrophic lake algal blooms are assisted.

The invention discloses a method for regreening gobi deserts by utilizing microalgae crust and application, and belongs to the technical field of ecological restoration. The method mainly adopts a mode of combining microalgae spraying liquid with an engineering remediation method. When the microalgae spraying liquid is prepared, indigenous microalgae and known domesticated desert algae are mixed and co-cultured to prepare a spraying agent, and then soil bacillus is added before spraying. The engineering regulation method mainly comprises the following steps: forming a concave-convex structure by piling up soil mound bags and digging ditches, increasing the specific surface area of the growth of the microalgae spraying liquid by using the uneven land surface layer, and reducing the evaporation speed of the moisture of the microalgae spraying liquid by using the concave land, thereby promoting the growth rate and adaptability of the microalgae and improving the skinning efficiency. In addition, nutritional functional organic fertilizers and / or nano conditioners need to be added into the soil to be remediated in advance. According to the method, the vegetation coverage rate can be increased to about 60% from the initial nearly zero, the gobi desert ecological environment can be obviously improved, the soil salinity and alkalinity can be obviously reduced, and the soil water retention capacity is enhanced.

The invention relates to the technical field of marine ecology, in particular to an offshore wind power and marine ranch blue carbon synergistic effect optimization and scheduling control system which comprises a blue carbon dynamic monitoring module, a cross-time scale optimization module, an energy directional scheduling module, an ecological parameter compensation module and a synergistic effect feedback module. Wherein the blue carbon dynamic monitoring module is used for collecting an algae photosynthetic carbon sequestration rate, a shellfish calcification carbon sequestration rate, a seabed sediment carbon sequestration amount and environmental parameters in real time; the cross-time-scale optimization module is used for carrying out space-time alignment and generating a collaborative optimization strategy; and the energy directional scheduling module is used for dividing the electric energy output by the wind turbine generator according to priorities. According to the method, a blue carbon-wind power integrated collaborative optimization and scheduling mechanism is constructed, accurate alignment and dynamic regulation and control of different time scale carbon sink processes and wind power output are realized, and the collaborative capability of energy utilization efficiency and ecological carbon sink benefits is improved.

The present invention discloses a digital analysis method based on off-site monitoring of water pollution source tracing, comprising the following steps: S1, collecting water samples: collecting water samples at multiple predetermined sampling points in the target water area, S2, environmental DNA extraction: performing environmental DNA extraction operation on the collected water samples, S3, microbial gene detection: performing microbial gene detection on the extracted environmental DNA using high-throughput sequencing technology, S4, data analysis and model construction: performing data analysis based on multiple algorithms, S5, pollution source tracing determination: combining satellite remote sensing data, the water color, area changes, algae distribution, floating objects on the water surface and other information of the water area can be monitored.

The invention relates to the technical field of data processing, and discloses a method and a system for intelligently evaluating the bearable capacity of algae based on data analysis. The method comprises the following steps: acquiring environmental parameters of a seaweed culture area through a multi-layer sensor, and obtaining a standardized data set by using an abnormal value detection algorithm; dividing the breeding area into environment layering sub-areas by adopting a clustering algorithm; training the relationship between the environment and the bearing capacity by using a machine learning algorithm to obtain regionalized prediction data; calculating ecological, economic and social three-dimensional indexes, and establishing a sustainable evaluation index system; and constructing a neural network model, and outputting an intelligent evaluation value of the alga bearable capacity. According to the method, the problems of insufficient multi-dimensional data processing capability and lack of regional differentiation assessment in an existing alga bearing capacity assessment method are solved, and the accuracy and the intelligent level of alga bearing capacity assessment are improved.

The invention relates to the technical field of underwater optical cables, and discloses an offshore wind power submarine cable scouring protection device which comprises a wind power body, a connecting body connected with the water bottom is arranged on the surface of the wind power body, and a cable body is connected to the surface of the wind power body; when the cable body is laid, the cable body can be connected with the ground under the action of the connecting shell, impact of water can be prevented under the action of the protection mechanism, and then the protection capacity of the connecting shell on the cable body is improved. In daily use of the connecting shell, crabs can be caught under the action of the catching mechanism, so that the crabs are located in the connecting shell, the crabs prey on algae on the surface of the cable body, the possibility that the algae survive on the surface of the cable body is reduced, and under driving of the protection mechanism, the crabs are prevented from being damaged. And the driving mechanism and the oxygen supply mechanism supply oxygen to the connecting shell, so that the survivability of the crabs is improved.

This invention discloses a microbial agent for treating and recovering carbon, nitrogen, and phosphorus from high-salinity wastewater and its application. The agent comprises marine microalgae and fungal hyphae. This invention's agent can efficiently treat carbon, nitrogen, and phosphorus in high-salinity wastewater, and is easy to operate. The recovered biomass can be recycled. It solves the problems of low efficiency in treating carbon, nitrogen, and phosphorus in high-salinity water using current microbial methods and the difficulty in recovering high-salinity-tolerant microalgae; it achieves good results for wastewater with salinity below 4%. Furthermore, this invention eliminates the need to add PVA and sodium alginate to form gel spheres before adding them to the wastewater. Instead, suitable algae and bacteria are directly added to the wastewater, and while treating carbon, nitrogen, and phosphorus, they form small spheres in the wastewater, which can then be collected and recovered together, making the operation simpler.

The invention discloses a culture tail water resource treatment system based on pearl mussels, which belongs to the technical field of aquaculture and water environment protection and comprises a culture pond, a plurality of first treatment ponds, at least one second treatment pond, a third pipeline and a control unit. Each first treatment pond is connected with the culture pond through a first pipeline, activated sludge is laid in each first treatment pond, and an aeration device and an adsorption filter with the height capable of being adjusted through a lifting mechanism are arranged on each first treatment pond. The second treatment pond is connected with the first treatment pond through a second pipeline, the interior of the second treatment pond is divided into a phycomycete symbiotic area and a water quality purification area, the water quality purification area sequentially comprises a supporting layer, an adsorption layer and a substrate layer from bottom to top, and various aquatic plants are planted in the substrate layer. The third pipeline is connected with the second treatment pond and the culture pond to form a closed water treatment circulation loop. The control unit is responsible for monitoring and regulating the operation state of the system. According to the system, efficient purification and resource recovery of aquaculture tail water are realized through multi-stage treatment and cyclic utilization.

The invention relates to the field of ocean engineering application, in particular to an intelligent stratum subsea tunnel surveying device which comprises a bottom plate, the bottom end of the bottom plate is fixedly connected with a walking assembly, the side walls of the front end and the rear end of the bottom plate are each provided with two rotating grooves, and the inner side walls of the four rotating grooves are each rotationally connected with a supporting mechanism for supporting the surveying device. Two mounting grooves are formed in the top end of the bottom plate, and the inner side walls of the two mounting grooves are in threaded connection with sweeping mechanisms for sweeping algae. According to the intelligent surveying device for the stratum subsea tunnel, through multiple fixing modes of the collecting barrel, it is ensured that the collecting barrel does not shake or shift in the sampling process, and the sampling efficiency is improved; the pollution and leakage of the sample are effectively avoided, the quality and representativeness of the seawater sample are ensured, and an accurate data basis is provided for subsequent marine environment analysis.

The invention relates to the technical field of algae cleaning, in particular to underwater cleaning equipment which comprises a floating platform, lifting devices are arranged on the floating platform, a plurality of lifting devices are arranged on the floating platform, and a protection bin connected through the lifting devices is arranged below the floating platform. A suction machine and a filtering device are arranged in the protection bin, a cutting device is fixedly arranged on the lower portion of the protection bin, the water inlet end of the suction machine sucks water through the cutting device, the water outlet end of the suction machine is connected with the filtering device, and the filtering device filters water fed by the suction machine. The device has the effect of directly collecting the algae on the surface of the phosphorus-absorbing stone at the bottom of the pond after cleaning.

The invention belongs to the technical field of monitoring of a hot spring algae culture process, and discloses an intelligent monitoring and analyzing method for growth data of hot spring algae culture. According to the invention, by identifying the abnormal growth state and dynamically adjusting the spectrum composition and intensity of the multiband illumination sensor array when the abnormal growth state is identified, spectrum-growth state closed-loop control is realized, the accuracy and effectiveness of illumination control are improved, proper illumination is provided for the hot spring algae in time, and the quality of the hot spring algae is improved. The photosynthesis and normal growth are guaranteed, the culture efficiency and quality are effectively improved, and the loss caused by abnormal growth is reduced. According to the method, the growth cycle is identified based on the relative growth rate and the cell division rate, so that the growth change can be more sensitively captured, the exact growth stage of the hot spring algae can be accurately grasped, a key support is provided for subsequent accurate regulation and control of culture conditions, and the scientificity and effectiveness of culture are greatly improved.

The invention relates to a method for improving soil fertility and enzyme activity of a rice field by using a nitrogen-fixing cyanobacteria biological membrane, which comprises the following steps: step 1, expanding propagation of nitrogen-fixing cyanobacteria: selecting anabaena globifera as a rice field application algae species, and performing expanding culture on the algae species to obtain a nitrogen-fixing cyanobacteria secondary algae species; step 2, applying nitrogen-fixing cyanobacteria: applying the nitrogen-fixing cyanobacteria in a rice base fertilizer period and a tillering period, and replacing part of chemical fertilizer with the nitrogen-fixing cyanobacteria to reduce the application amount of the chemical fertilizer; secondly, the nitrogen-fixing cyanobacteria returns to the rice field through biological nitrogen fixation and rotting decomposition of dead algae, the content of nitrogen and carbon in the soil is increased, the soil fertility is improved, and the nitrogen-fixing cyanobacteria can provide nutrient substances for microorganisms in the soil, improve the enzyme activity of the soil and improve the quality of the soil when applied to the rice field.

The invention relates to the technical field of environmental monitoring and water ecological safety, in particular to a eukaryotic algae outbreak early warning method and system based on genus-level specific recognition. The method comprises the following steps: collecting a water body sample at a monitoring position according to a preset sampling plan, collecting an environment measurement value, and respectively obtaining environment parameter data, a water sample sampling identifier and a sampling timestamp; extracting nucleic acid from the water sample at the monitoring position based on the water sample sampling identifier, performing targeted amplification, and performing high-throughput sequencing at the same time to obtain eDNA original sequencing data; therefore, by constructing the eukaryotic algae outbreak early warning process based on genus-level specific recognition, the problems that in a traditional method, sampling disturbance is uncontrollable, sequence judgment precision is insufficient, trend recognition is lagged, and an early warning link is not transparent are solved, and the accuracy, stability and traceability of early judgment of algae outbreak are improved.

The embodiment of the specification provides an astaxanthin extraction device, the device comprises a mixing tank, a cavitator, a static mixer, a three-phase centrifuge and a precision filter, the mixing tank is configured to mix haematococcus pluvialis, water and phospholipase to form uniform algae slurry; the cavitator is configured to receive the algae slurry and perform wall breaking on the algae slurry by utilizing hydrodynamic cavitation to obtain wall-broken algae slurry; the static mixer is configured to mix the wall-broken algae slurry and an extraction agent to form mixed algae slurry; the three-phase centrifugal machine is configured to receive the mixed algae slurry and perform three-phase separation on the mixed algae slurry to obtain an astaxanthin oil phase, a water phase and algae residues; the precision filter is configured to filter the astaxanthin oil phase so as to remove residual algae residues, and the astaxanthin oleoresin is obtained.

The utility model discloses an aeration cyclone offshore algae control system, which belongs to the technical field of offshore prevention and control of blue-green algae, and comprises an air compressor, a water tank, a heat exchanger, a cooling circulation device and a plurality of aeration cyclone mechanisms, each aeration cyclone mechanism comprises an aeration main pipe, a horizontal aeration branch pipe and a plurality of vertical aeration branch pipes, according to the utility model, active offshore algae control is realized in the time period of stronger illumination and higher air temperature, and the'gas stripping 'effect generated by the rising of bubbles is utilized, so that the Reynolds number is increased, the turbulence degree of a water body is increased, and the aeration effect of the water body is improved. Meanwhile, the normal migration rule of the blue-green algae can be destroyed due to the occurrence of the rotational flow, so that the blue-green algae cannot normally perform photosynthesis, and water layers at different temperatures can be sufficiently mixed due to the rotational flow, so that the water temperature of the surface water body is greatly reduced, and the growth of the blue-green algae is effectively controlled.