969 results about "Algae" patented technology

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 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 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.

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 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 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 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 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 invention belongs to the technical field of water ecology risk early warning, and provides an algal bloom risk remote sensing intelligent identification method and system, and the method comprises the steps: obtaining remote sensing image data, meteorological data and water quality data of a target region, and carrying out the preprocessing; performing frequency domain feature extraction to generate a three-dimensional frequency domain feature vector; fusing the global feature representation obtained by modeling and the generated three-dimensional frequency domain feature vector by using a multi-task deep learning network to obtain a feature map; obtaining an algae bloom binary segmentation probability graph and a continuous value distribution graph of chlorophyll a concentration based on the characteristic graph; generating an image semantic embedding vector by utilizing a semantic embedding head, and performing semantic alignment on the image semantic embedding vector by adopting a pre-trained knowledge graph to generate a research and judgment information text; and performing cross validation on the study and judgment information text, the algae bloom binary segmentation probability graph and the continuous value distribution graph of the chlorophyll a concentration to obtain a final algae bloom risk judgment result. According to the invention, the algal bloom risk remote sensing intelligent identification is realized.

The invention relates to the technical field of microorganisms, and provides Haematococcus pluvialis RXXHp1 which is preserved in the China Center for Type Culture Collection on May 19, 2023, and the preservation number of the Haematococcus pluvialis RXXHp1 is CCTCC NO: M 2023791. The invention also provides an application of the haematococcus pluvialis RXXHp1. The application comprises the step of enriching at least one of organic selenium and astaxanthin in a selenium ion stress environment by using the haematococcus pluvialis RXXHp1. The invention further provides algae powder containing the haematococcus pluvialis RXXHp1 and application of the haematococcus pluvialis RXXHp1 or the algae powder in preparation of wine. The haematococcus pluvialis RXXHp1 provided by the invention has certain tolerance to a selenium ion stress environment, not only can be used for enriching organic selenium, but also can be used for promoting the accumulation of astaxanthin; besides, when the haematococcus pluvialis RXXHp1 is used for preparing the wine, the content of active substances such as astaxanthin and xanthophyll in the wine can be remarkably increased, so that the effects of improving the color and flavor of the wine and improving the oxidation resistance of the wine are achieved.

The utility model discloses a mariculture tail water treatment system. The mariculture tail water treatment system comprises a water inlet pump, a system main body treatment pond, a bacteria-algae bed and a plant floating bed, the water inlet pump is communicated with the system main body treatment pond through a water inlet pipeline, and the water inlet pump is used for inputting mariculture tail water into the system main body treatment pond; the bacteria-algae bed and the plant floating bed are both arranged in the system main body treatment pond, the bacteria-algae bed is used for expanding cultivation of beneficial bacteria and algae species, and the plant floating bed is used for absorbing and fixing nitrogen and phosphorus in water in the system main body treatment pond through developed root systems of planted plants to achieve the purpose of water purification. The mariculture tail water treatment system has the advantages of being small in occupied area, low in energy consumption and the like, can efficiently degrade organic pollutants, nitrogen, phosphorus and the like in mariculture tail water, and has the advantages of being environmentally friendly, clean and the like.

The invention discloses an algae species with both efficient denitrification and high free ammonia tolerance and application thereof. The invention provides an inflatedfruit senna herb which is preserved in China General Microbiological Culture Collection Center (CGMCC) on December 11, 2024, and the preservation number of the inflatedfruit senna herb is CGMCC No.46280. The inflatedfruit senna herb has the advantages that the inflatedfruit senna herb is preserved in the China General Microbiological Culture Collection Center (CGMCC); the inflatedfruit senna provided by the invention has efficient assimilation removal capability on NO3 <->-N, NO2 <->-N and NH4 < + >-N, and has relatively strong tolerance on high-concentration free ammonia (FA). A bacterial-algae symbiotic system is constructed by the inflator and activated sludge, and is coupled with a dynamic membrane process, so that the denitrification efficiency of the nitrogen-containing wastewater can be remarkably improved, the addition of exogenous organic matters, the aeration energy consumption and the N2O emission are reduced, meanwhile, high-value microalgae biomass is obtained, and efficient, stable and resourceful treatment of the nitrogen-containing wastewater is realized.

The invention belongs to the technical field of organic matter extraction, and particularly relates to a green directional extraction and purification method for haematococcus astaxanthin, which comprises the following steps: (1) mixing dried haematococcus powder and a composite pretreatment agent according to a mass ratio of 1: (8-15), and stirring to obtain a pretreated algae solution; (2) treating the pretreated algae liquid through ultrahigh-pressure microjet equipment to obtain wall-broken slurry; (3) mixing the wall-broken slurry and a composite extraction agent according to a volume ratio of 1: 3-1: 5, and performing extraction separation to obtain an astaxanthin extraction phase; (4) carrying out selective adsorption on the astaxanthin extraction phase through an adsorption column filled with a molecular imprinting adsorbent; (5) collecting eluent by adopting a gradient elution method; and (6) performing vacuum concentration on the eluent, and performing spray drying to obtain an astaxanthin product. According to the method, the astaxanthin extraction efficiency and the product purity are remarkably improved, meanwhile, the energy consumption is reduced to the maximum extent, toxic solvent residues are avoided, and the stability of the astaxanthin is effectively protected.

The embodiment of the utility model provides an algal-bacterial symbiotic membrane aeration bio-membrane reactor, the algal-bacterial symbiotic membrane aeration bio-membrane reactor comprises a container, a membrane assembly, a carbon dioxide supply device, an oxygen supply device and a light source, the membrane assembly is arranged in the container, the membrane assembly comprises a first membrane wire group and a second membrane wire group which are arranged at an interval, the carbon dioxide supply device is connected with the air inlet of the first membrane filament group to provide carbon dioxide for the first membrane filament group, the carbon dioxide is connected with the air inlet of the second membrane filament group to provide oxygen for the second membrane filament group, and the light source irradiates the first membrane filament group. The bacteria-algae symbiotic membrane aeration bio-membrane reactor disclosed by the embodiment of the utility model has a relatively strong sewage treatment effect.

The invention discloses a phycomycete symbiotic system and application of the phycomycete symbiotic system in treatment of aquaculture tail water, and belongs to the technical field of tail water treatment. The phycomycete symbiotic system comprises chlorella, scenedesmus and activated sludge, and the initial inoculation dry weight ratio of the chlorella to the scenedesmus to the activated sludge is 1: 1: 6. And exogenously adding octanoyl-L-homoserine lactone or tetradecanoyl-L-homoserine lactone into the phycomycetes symbiotic system, so as to construct the phycomycetes symbiotic system with enhanced functions. On the basis of a mixed algae-bacteria symbiotic system with an optimized ratio, directional enhancement of functions is realized by virtue of quorum sensing signal molecules, the stability and resistance gene interception capability of the quorum sensing signal molecules under the stress of antibiotics are verified, and finally efficient purification of the aquaculture tail water is realized. According to the invention, the blank of the prior art in the aspects of advanced regulation and control of a phycomycete synergistic mechanism and synergistic treatment of emerging pollutants is filled up.

The invention provides a method and a device for efficiently proliferating sepiella maindroni by combining grazing and raising, and belongs to the field of aquatic animal proliferation. An efficient breeding method for sepiella maindroni integrating grazing and breeding comprises the following steps that an appropriate sea area is selected, fertilized eggs are bred in a breeding facility laid in the downstream direction of a normal fish breeding net cage, namely an empty net cage containing an artificial floating reef, the periphery of the empty net cage is provided with an algae-mussel flow blocking ecological rope, and a cover net is arranged above the empty net cage; the newly hatched cuttlefish can stay in the proliferation facility empty net cage for a long time due to the characteristics of loving reefs and drilling the net and strong space awareness, and slowly escape into natural water after gradually adapting to the proliferation environment. According to the proliferation method, cuttlefishes gradually adapt to the natural environment of the sea area, meanwhile, cuttlefish larvae are well protected enough in the fragile incubation initial stage through protection measures such as net cages, and therefore the proliferation survival rate and the maintenance efficiency are improved, and efficient proliferation is achieved.

The invention relates to the technical field of marine planting, and discloses a seaweed planting device for marine ecological restoration, which comprises a frame, a buoyancy device is arranged above the frame, an attachment plate is arranged in the frame through an adjusting mechanism, and the adjusting mechanism is used for adjusting the angle of the attachment plate. A distance measuring mechanism is arranged on the front side wall of the attachment plate, an anchoring device is arranged at the bottom end of the frame, the adjusting mechanism comprises a first pull rod connected into the frame in a sliding mode, a fluted disc is fixedly connected to the end, close to the attachment plate, of the first pull rod, and the fluted disc is connected into the frame in a sliding mode. Through the structural arrangement of the adjusting mechanism, the problems that the spatial position cannot be dynamically adjusted according to the illumination condition, the illumination of algae on the lower layer of the base plate is insufficient, the growth of the algae is influenced, meanwhile, the wave impact resistance of the attachment plate is poor, the disturbance of sea waves and strong water flow is difficult to resist, and algae seedlings are difficult to stably attach are solved.

The invention discloses an environment-friendly closed-loop ecological culture method for colored pearls, which belongs to the technical field of aquaculture and comprises the following steps: S1, selecting and culturing high-quality pearl mussels to form high-quality pearl mussels; s2, cooperatively culturing high-quality pearl mussels, fishes, algae and microbial communities; s3, according to the color requirement of the high-quality pearl mussels, algae, plankton, vegetable protein and a microorganism culture solution are used for preparing feed, the high-quality pearl mussels are fed, and the color and glossiness of pearls are regulated and controlled; s4, collecting breeding data in real time, and adjusting collaborative breeding parameters; according to the color requirement of high-quality pearl mussels, the feed is prepared from algae, plankton, vegetable protein and a microorganism culture solution, the high-quality pearl mussels are fed, nacre layer components secreted by pearl sacs in mussel bodies are affected through natural pigment components in the feed, and therefore the color and glossiness of pearls are regulated and controlled. The active regulation and control of the pearl color and glossiness can be realized.