17 results about "Enteromorpha prolifera" patented technology

The invention provides a construction method of an enteromorpha green tide biomass estimation and near-shore disaster risk prediction model, and belongs to the technical field of marine environment. Multispectral remote sensing image data of a target sea area is collected, and an upwelling spectrum recognition function and a bubble interference removal function are used for constructing an enteromorpha upwelling spectrum matrix; an enteromorpha bubble spectrum matrix is established based on a gain spectrum difference function and a drift correction function to realize accurate spectrum identification, an enteromorpha gain biomass matrix is established through processing of a spectral feature extraction function and a biomass estimation function, and a near-shore disaster risk prediction model is established based on a risk assessment function. Dynamic adjustment and optimization are carried out through a sea area optimization model, integrated modeling of accurate identification of enteromorpha spectral characteristics, accurate estimation of biomass, movement track prediction and coastal risk assessment is realized, and the technical problems that the estimation precision of enteromorpha green tide biomass is insufficient and spatial-temporal dynamic prediction of coastal disaster risks cannot be realized are solved.

The invention discloses an enteromorpha green tide full life cycle wind action coefficient determination method, and belongs to the field of enteromorpha green tide drift prediction. The method comprises the following steps: S1, acquiring satellite remote sensing images of enteromorpha green tide in different development stages, and interpreting the satellite remote sensing images to obtain enteromorpha green tide distribution data; and / or acquiring sea drift tracking observation data of enteromorpha green tide at different development stages; s2, constructing an enteromorpha green tide short-term drift numerical model; s3, acquiring surface ocean current and sea surface wind data of the research sea area; s4, determining optimal wind action coefficients of the enteromorpha green tide in different development stages; and S5, performing quadratic polynomial fitting, establishing a wind action coefficient dynamic model suitable for the enteromorpha green tide full life cycle, and further determining an enteromorpha green tide full life cycle wind action coefficient value. According to the method, the prediction precision of the enteromorpha green tide drift path can be improved.

The present application relates to the technical field of molecular detection, and particularly relates to a specific primer combination for distinguishing Enteromorpha prolifera and related species, application and molecular identification method thereof. The primer combination comprises an upstream primer SEQ1 and a downstream primer SEQ2. The primer sequence of SEQ1 is shown as SEQ ID NO. 01, and the primer sequence of SEQ2 is shown as SEQ ID NO. 02. The primer combination of the present application is designed based on the genomic difference of two kinds of algae, has high specificity and sensitivity, can effectively avoid cross reaction, and ensures the accuracy of the detection result. Meanwhile, combined with the real-time fluorescent quantitative PCR (qPCR) technology, the method can effectively quantify the abundance of Enteromorpha prolifera in environmental samples or laboratory samples, and provides reliable technical support for early warning, tracing analysis and prevention and control strategy of green tide outbreak.

The invention provides complex gel based on enteromorpha prolifera insoluble dietary fiber (IDF), sodium alginate (SA) and pea protein (PPI), a preparation method of the complex gel and application of the complex gel in aquatic products. The complex gel comprises the following components in percentage by mass: 0-3% of enteromorpha prolifera IDF, 2.5% of SA, 3% of PPI, 1-2% of gluconic acid-delta-lactone (GDL) and the balance of water. By introducing IDF, the mechanical property and the moisture retention capacity of the gel are remarkably improved, the fresh-keeping effect of food is enhanced, and the shelf life is prolonged; all-natural degradable materials are adopted, safety and environmental protection are achieved, and the concept of green and sustainable development is met; an optimized gel formula and a preparation process enable the hydrogel to have good mechanical property, structural stability and barrier property, and meanwhile, the protective effect on aquatic food is improved; the method is simple and controllable in cost, can be widely applied to preservation of foods such as aquatic products and the like, and has a remarkable market application prospect.

The invention provides composite gel based on enteromorpha prolifera insoluble dietary fiber (IDF), sodium alginate (SA) and euphausia superba protein (AKP), a preparation method of the composite gel and application of the composite gel in fruit and vegetable preservation. The composite gel is prepared from the following components in percentage by mass: 0 to 3 percent of enteromorpha prolifera IDF, 2.5 percent of SA, 4 percent of AKP, 1 to 2 percent of gluconic acid-delta-lactone (GDL) and the balance of water. Through synergistic crosslinking of enteromorpha IDF, SA and AKP, gel network compactness and film forming stability are improved, gentle acidification gel forming is realized by means of GDL, no exogenous calcium ions and chemical crosslinking agents are added in the whole process, and the enteromorpha IDF gel is green, safe and edible. The coating liquid is used for preservation of strawberries and can effectively lock water and block microorganisms and oxygen under the conditions that the temperature is 24-26 DEG C and the relative humidity is 75-85%, after the strawberries are stored for 8 days, the rot index of the strawberries is smaller than or equal to 65%, the weight loss rate is smaller than or equal to 13%, and quality deterioration is remarkably delayed. The method is simple and convenient in process and controllable in cost, can be adapted to berry fruits and vegetables such as blueberries, cherries and tomatoes besides strawberries, and has good industrial application prospects and environmental protection benefits.

The invention relates to an enteromorpha polypeptide extract for aquatic feed and a preparation method of the enteromorpha polypeptide extract, and belongs to the technical field of plant polypeptide preparation. The enteromorpha polypeptide extract is effective active polypeptide obtained through enzymolysis, impurity removal, enzymolysis of target molecular weight polypeptide and column separation. When the enteromorpha polypeptide extract prepared by the method is added into aquatic feed as an additive, the survival rate of the river crabs can be obviously increased, and the disease resistance of the river crabs can be improved.

The invention belongs to the technical field of ocean remote sensing, and relates to a floating enteromorpha green tide remote sensing recognition model and method fused with a multi-attention mechanism neural network. The model comprises an encoder and a decoder; the encoder is composed of five continuous convolution blocks, each convolution block is composed of two convolution layers with the size of 3 * 3, a batch normalization layer and an activation function, and then a maximum pooling layer is connected; the decoder recovers the spatial resolution of the image by adopting a step-by-step up-sampling operation; each decoding layer and the corresponding coding layer are subjected to feature fusion through jump connection, feature maps of different scales are processed respectively, and a final segmentation result is output after up-sampling and convolution operation; and a multi-attention weight enhancement module is arranged at the rear end of each decoding layer so as to enhance the expression ability of the feature map. According to the method, high enteromorpha detection precision can still be kept under the complex background, and the method is better in enteromorpha feature extraction and segmentation effect.

The application discloses a method for determining a wind action coefficient in a whole life cycle of Enteromorpha prolifera green tide, and belongs to the field of Enteromorpha prolifera green tide drift prediction. The method comprises the following steps: S1, acquiring satellite remote sensing images of different development stages of the Enteromorpha prolifera green tide, and interpreting the satellite remote sensing images to obtain distribution data of the Enteromorpha prolifera green tide; and / or acquiring sea drift tracking observation data of different development stages of the Enteromorpha prolifera green tide; S2, constructing a short-term drift numerical model of the Enteromorpha prolifera green tide; S3, acquiring surface current and sea surface wind data of a research sea area; S4, determining optimal wind action coefficients of different development stages of the Enteromorpha prolifera green tide; S5, performing quadratic polynomial fitting to establish a wind action coefficient dynamic model suitable for the whole life cycle of the Enteromorpha prolifera green tide, and further determining a wind action coefficient value in the whole life cycle of the Enteromorpha prolifera green tide. The application can help improve the prediction accuracy of a drift path of the Enteromorpha prolifera green tide.

The present application relates to the technical field of marine environment monitoring and prediction, and particularly provides a green tide of Enteromorpha prolifera marine environment assessment and prediction method based on deep learning. The method comprises collecting multi-source marine environment data and preprocessing; constructing spatial feature engineering and time feature; establishing a suitability scoring model based on the growth cycle, and combining the sea area division to mark the applicability; constructing a bidirectional spatial convolution GRU prediction model, and training and optimizing the same to predict the future marine environment, and output the prediction result. The method improves the scientificity and forward-looking nature of green tide management and prevention and control by constructing a bidirectional spatial convolution GRU prediction model.

The application discloses a kind of Enteromorpha prolifera green tide medium and long-term probabilistic ensemble prediction method, belong to Enteromorpha prolifera green tide prediction field.This method includes the following steps: a, based on historical monitoring data, the longitude, latitude and initial occurrence time of initial occurrence position of Enteromorpha prolifera green tide are obtained, potential throwing area and initial window period are set;Construct the time-space probability density function of throwing area, and generate the initial field set scheme of Enteromorpha prolifera green tide medium and long-term drift prediction;B, obtain a plurality of groups of medium and long-term marine environment prediction driving field data, and construct to form multiple driving field set scheme;C, the initial field set scheme and multiple driving field set scheme are substituted into Lagrange drift prediction model, and cycle simulation is carried out, the drift trajectory of each Enteromorpha prolifera green tide particle under all set schemes is obtained, and the medium and long-term ensemble prediction result of Enteromorpha prolifera green tide is generated.The application can carry out Enteromorpha prolifera green tide medium and long-term prediction, and significantly improve the accuracy and reliability of prediction, provide scientific basis for disaster prevention and mitigation decision-making.

The invention belongs to the technical field of active peptide protein, and particularly relates to enteromorpha active peptide as well as preparation and application thereof. The enteromorpha bioactive peptide disclosed by the invention is obtained by performing enzymolysis on enteromorpha alkali-extracted protein, performing ultrafiltration and performing chromatographic separation. The preparation method of the enteromorpha active peptide is simple, convenient, efficient, green and safe, the prepared enteromorpha active peptide can efficiently remove ROS, DPPH free radicals and ABTS free radicals, lipid peroxidation is effectively inhibited, SOD activity is enhanced, excellent anti-oxidation and cell protection effects are shown, the enteromorpha active peptide is used in the fields of food, medicine, health care products or cosmetics and the like, and the enteromorpha active peptide has wide application prospects. Products with the functions of resisting oxidation and protecting cells are prepared, and a new way is opened up for resource utilization of enteromorpha.

The invention discloses an enteromorpha fermentation and preservation production line and method, and relates to the technical field of enteromorpha fermentation, and the enteromorpha fermentation and preservation production line comprises an enteromorpha storage box, a crusher, an enteromorpha storage tank, a mixing stirrer and fermentation equipment for assisting ton bag fermentation which are arranged in sequence. In the enteromorpha fermentation and preservation process, through mutual cooperation of the bearing assembly, the supporting assembly and the control assembly, a conical cavity is formed in the bottom of the ton bag for fermentation and preservation, the contact area of enteromorpha fed into the ton bag and the ground is reduced, an annular cavity is formed in the bottom, it is guaranteed that CO2 and other gases generated by fermentation are smoothly discharged, and the safety of enteromorpha fermentation and preservation is guaranteed. Meanwhile, fresh air enters from the bottom, gas circulation of aerobic fermentation is strengthened, fermentation stagnation or material decay caused by local anaerobism is avoided, in addition, in the supporting process, the taper state of the support can be adaptively adjusted according to the weight of enteromorpha in the ton bag, the stability of the support can be guaranteed, and the ventilation effect of the support can also be guaranteed.

The invention discloses an enteromorpha green tide salvage ship deployment determination method, and belongs to the field of enteromorpha green tide prevention and control. The method comprises the following steps: a, constructing a biomass estimation model based on enteromorpha green tide satellite remote sensing data and field monitoring data; b, constructing a biomass-salvage quantity conversion model; c, constructing a salvage efficiency calculation model under different sea conditions and different salvage modes; d, constructing a salvage ship deployment model based on the biomass estimation model, the biomass-salvage quantity conversion model and a salvage efficiency calculation model under different sea conditions and different salvage modes; and e, acquiring enteromorpha green tide satellite remote sensing data of the sea area range according to the delimited sea area range, determining the required number of salvage ships based on the salvage ship deployment model constructed in the step d, and deploying the salvage ships. According to the method, by constructing a salvage ship allocation model and the like, the scientificity and the operation efficiency of ship resource scheduling are remarkably improved based on a fine classification dynamic allocation strategy.

The invention relates to the technical field of food processing, in particular to an enteromorpha, black bean and pilose antler mushroom protein energy bar as well as preparation and application thereof. The preparation method comprises the following steps: firstly, dissolving enteromorpha protein powder, sequentially and uniformly mixing the dissolved enteromorpha protein powder with flour, black bean protein powder and pilose antler mushroom powder, then sequentially adding butter, yolk liquid, polydextrose and stevioside, and uniformly mixing again to obtain a raw material mixture; and finally, fermenting the raw material mixture, putting the fermented raw material mixture into a mold, and baking to obtain the enteromorpha, black bean and pilose antler mushroom protein energy bar. The protein energy bar is prepared from enteromorpha protein, ingredients are natural, clean, healthy and rich in nutrition and have the physiological functions of enhancing immunity and the like, and the whole nutritional value is remarkably improved through amino acid complementation under the synergistic effect of the ingredients, the pilose antler mushroom powder and the black bean protein powder; the flavor is improved to be fresh, the flavor is richer and mellower, the sweetness is moderate, the taste is crisp, and the functional food is portable and easy to eat.

The application discloses a kind of enteromorpha green tide salvage ship deployment determination method, belong to enteromorpha green tide prevention and control field.This method includes the following steps: a, construct the biomass estimation model based on enteromorpha green tide satellite remote sensing data and field monitoring data;B, construct biomass-salvage volume conversion model;C, construct the calculation model of salvage efficiency under different sea conditions and different salvage modes;D, based on biomass estimation model, biomass-salvage volume conversion model and the calculation model of salvage efficiency under different sea conditions and different salvage modes, construct salvage ship deployment model;E, according to the delineated sea area range, obtain the enteromorpha green tide satellite remote sensing data of the sea area range, then based on the salvage ship deployment model constructed in step d Determine the number of salvage ship demand, carry out salvage ship deployment.The present application constructs salvage ship deployment model etc., based on the dynamic deployment strategy of fine classification, significantly improves the scientificity and operation efficiency of ship resource scheduling.

The application relates to a repellent for preventing and treating tea pseudocotyledon leafhoppers, which is composed of the following raw materials in proportion by weight: Enteromorpha prolifera fermentation liquor 50-70%, gardenia flower extract 15-25%, guava leaf extract 15-25% and an auxiliary agent 0.05-0.5%. The repellent for preventing and treating tea pseudocotyledon leafhoppers has a strong repelling effect on the tea pseudocotyledon leafhoppers, and also has the functions of leaf fertilizer and the like, can protect the tea leaves from tender shoots and new bud leaves, and the like, is convenient to use, and has an excellent application prospect.

The application provides a daily Enteromorpha prolifera green tide comprehensive coverage information fusion method based on satellite remote sensing and ecological model data, and belongs to the technical field of Enteromorpha prolifera green tide monitoring. The application forms a complete fusion process including data preprocessing, reliability evaluation, dynamic weight configuration, deep fusion and post-processing by means of radiation calibration and spectral consistency processing of multi-source satellite remote sensing data, reliability evaluation and dynamic weight configuration of satellite remote sensing and ecological model data, multi-dimensional deep fusion of spectral consistency enhancement models, bidirectional buffer and weighted fusion processing and Douglas-Pork boundary optimization, and solves the technical problems of insufficient continuity and low accuracy of Enteromorpha prolifera green tide monitoring caused by the lack of effective fusion mechanism of multi-source satellite remote sensing data and ecological model data.