43 results about "Algae biomass" patented technology

The invention discloses an algae biomass prediction method based on a bidirectional coupling hydrodynamic model and a physical information neural network, and relates to the field of algae biomass prediction.The algae biomass prediction method comprises the steps that firstly, water regimen data, water quality data and meteorological data are obtained and preprocessed, and then a hydrodynamic model based on a shallow water equation set is constructed; the model is coupled with a convection-diffusion equation and a wind stress-turbulence model so as to simulate spatial distribution of nutritive salt concentration, water temperature distribution and a vertical and horizontal mixing process driven by wind power; operating the model based on a time sequence of meteorological and water regimen data, and outputting multi-dimensional physical field data; thirdly, performing spatial interpolation on the water quality data to enable the water quality data to be in space-time alignment with grid nodes of the hydrodynamic model; a target loss function is constructed by taking a residual error in the shallow water equation set as a regular term, and a physical information neural network is trained to finally obtain a target prediction model; and the accuracy of algae biomass prediction and the robustness of the target prediction model are obviously improved.

The invention discloses a floating type ecological restoration bionic robot conforming to the lake and reservoir environment and a restoration method.The robot comprises a jellyfish-shaped bionic floating device, a compartment type multi-parameter water quality monitoring module, a liquid medicament intelligent putting unit, a nanoscale zero-valent iron recycling unit and the like, and module integration is achieved through TPU flexible connecting pieces; and accurate operation is realized by using Beidou RTK (Real Time Kinematic) positioning and an LSTM-Transform model. According to the repairing method, dosing is triggered through multi-parameter monitoring, the nanometer materials are recycled in combination with magnetic separation adsorption and hydraulic disturbance, and a'monitoring-repairing-recycling 'closed loop is formed. A demonstration area verifies that the system can reduce the algae biomass weekly, reduce the migration rate of heavy metals in sediments and improve the recovery rate of nano zero-valent iron, is suitable for in-situ ecological restoration of eutrophicated lakes and reservoirs, and has high efficiency and sustainability.

Disclosed are modified strains of Chlorella vulgaris having a very low chlorophyll content. Also disclosed is a method for producing them. The method involves performing mutagenesis of a parental strain of Chlorella vulgaris. Furthermore, disclosed is a composition comprising algae biomass derived from the modified strains of Chlorella vulgaris and their use in food and / or cosmetics amongst other applications.

The invention discloses a water body floating algae biomass scale monitoring and early warning system and method. The system is an algae biomass scale measurement scheme based on an ecological mathematical model, and comprises a sample acquisition module 100, a water quality type identification module 200, an initial model matching module 300, a target model calibration module 400, an algae biomass scale prediction module 500 and an algal bloom information processing module 600. Through layered classification technology logic of triggering response and matching models according to water quality types, the system has stage jump type response to high-organic-matter water quality and has emergency management significance. By means of dynamically constructing a prediction model around a population, putting the importance of the organic matter content in front of the nitrogen and phosphorus content, classifying environmental factors to construct a mathematical function, representing the hydrodynamic characteristics of a water body by using surface runoff variables and the like, the data cost and the operation overhead are saved, and the popularization adaptability of the technical scheme is reduced. The invention further provides a water body floating algae biomass scale monitoring and early warning method based on the system.

To provide a biomass material for treating an effluent gas which can treat harmful substances still remaining in treated gas processed by a conventional effluent gas treatment apparatus.SOLUTION: A biomass material for treating an effluent gas contains algae biomass in an amount from 40 wt.% to 90 wt.%, and zeolite in an amount from 10 wt.% to 60 wt.%, where the contents are based on the total weight of the biomass material. The biomass material 320 molded into porous pellets is packed into a housing 310 and brought into contact with an effluent gas stream for treating the effluent gas.SELECTED DRAWING: Figure 4

The invention discloses an algae biomass determination method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring a to-be-identified algae liquid picture, and preprocessing the to-be-identified algae liquid picture; extracting the preprocessed to-be-identified algae liquid picture to obtain an RGB value of the to-be-identified algae liquid picture; inputting the RGB value of the algae liquid picture into a trained machine learning model to obtain predicted algae absorbance; an algal biomass is determined based on the predicted algal absorbance. The method for measuring the algae biomass through the RGB value is relatively accurate, is easy to implement, can measure while sampling, facilitates rapid quantification of pure algae industrial culture, and is low in real-time monitoring cost. Different from the conventional measurement method, the method can be used for non-contact measurement through photographing, uncovering and destructive sampling are not needed, and the influence on experimental data caused by pollution to a sample is avoided.

The present invention discloses an algal biomass prediction method based on a bidirectional coupled hydrodynamic model and a physics-informed neural network, which relates to the field of algal biomass prediction. First, it acquires and preprocesses water regime data, water quality data, and meteorological data, and then constructs a hydrodynamic model based on the shallow water equations, which couples the advection-diffusion equation and the wind stress-turbulence model to simulate the spatial distribution of nutrient concentration, water temperature distribution, and the vertical and horizontal mixing processes driven by wind; runs the model based on the time series of meteorological and water regime data to output multi-dimensional physical field data; then, performs spatial interpolation on the water quality data to align it with the grid nodes of the hydrodynamic model in space and time; constructs an objective loss function by taking the residuals in the shallow water equations as regularization terms, and trains the physics-informed neural network, and finally obtains the target prediction model, significantly improving the accuracy of algal biomass prediction and the robustness of the target prediction model.

The invention discloses a method for culturing microalgae with swine wastewater and an optimization method and application thereof, and belongs to the field of microalgae culture, the culture method comprises the following steps: (1) diluting culture wastewater, and adding a carbon source and a phosphorus source, the addition amount of the carbon source being 0-5000 mg / L; the addition amount of the phosphorus source is 0-100 mg / L; then adjusting the pH value of the wastewater; (2) inoculating microalgae into the wastewater in the step (1), and culturing; the initial algae density of the microalgae is 0.05 to 1.0 OD660. By adding a specific carbon source and a phosphorus source, the problems of C / N and N / P imbalance and the like in the culture wastewater are solved, and the culture conditions of algae are optimized, so that the protein content in microalgae cells and the microalgae biomass are improved, and the cost of algae culture is reduced. According to the method, in the algae biomass harvesting process, pollutants such as ammonia nitrogen, phosphate and total organic carbon in the wastewater can be synchronously removed, and deep purification of the wastewater is achieved.

The invention discloses a three-dimensional irradiation water conveyance canal ecological management system and method based on a deep ultraviolet LED, and belongs to the field of ecological management. The system comprises a shore-based irradiation subsystem, a suspended mobile irradiation subsystem, a photovoltaic power supply subsystem and an intelligent control subsystem; 275nm deep ultraviolet light is used for accurately destroying an algae light system II reaction center (the PsbA protein inactivation rate is greater than 95%), and 235nm auxiliary wavelength is combined for decomposing organic pollutants, so that algae inactivation and water purification are synchronously realized. The suspension unit adopts a ball screw lifting mechanism (the positioning precision is + / -2mm) to adapt to water level fluctuation, and the photovoltaic direct supply system reduces carbon emission by 63%. The system can reduce the algae biomass by 92% and the DOC removal rate by 41%, and has no toxic influence on fishes (LC50 is greater than 100mW / cm < 2 >). The pollution risk of a traditional mercury lamp and the ecological harm of a chemical method are overcome, and a green treatment scheme is provided for a long-distance water transfer project.

The invention discloses a test device and method for researching physiological and ecological characteristics of disastrous periphytic algae and shellfish in a channel. The test device comprises a circulating water tank system, a multi-environmental factor coupling control system and an in-situ monitoring system, wherein the multi-environmental factor coupling control system is used for regulating and controlling one or more environmental factors of a water body in the circulating water tank system; the in-situ monitoring system is used for acquiring growth condition images of algae and / or activity condition images of shellfish in the circulating water tank system by adopting an AI behavior tracking camera, and extracting algae biomass data and / or shellfish movement behavior parameter data. According to the test method, algae biomass data and / or shellfish motion behavior parameter data are / is analyzed and processed to obtain a critical environment factor threshold value of algae and shellfish. According to the testing device, the environment of periphytic algae and shellfish can be simulated more truly, so that the physiological and ecological characteristics of the algae and shellfish can be researched more scientifically and more accurately.

The invention discloses a preparation method of a granular ozone catalyst based on algae biomass, which comprises the following steps: grinding silicon-aluminum-based mineral powder to 200-1200 meshes, and then drying for later use; uniformly mixing the algae biomass with the water content of less than 5% and the silicon-aluminum-based mineral powder according to the mass ratio of 1: 5-1: 20 to obtain a mixed material; metal active components are introduced into the mixed material through a mixing method, a roasting method or a mixing-roasting method, and a particle material is obtained; and drying and roasting the granular material to obtain the catalyst. According to the ozone catalyst prepared by the method disclosed by the invention, algae biomass is taken as a raw material to introduce a high-activity carbon catalytic matrix and active catalytic sites of nitrogen and phosphorus atoms, so that a good way for realizing resource utilization of solid wastes is provided; meanwhile, alumina powder, natural zeolite powder and the like which are low in price and easy to obtain are used for achieving granulation of the catalyst form and stable recovery in application, and metal components are introduced to provide metal active sites; the preparation method is novel, simple and easy to popularize.

The present invention relates to a method for preparing an algae extract from an algae biomass comprising chlorophyll, polar lipids and possibly present triglycerides, said algae extract comprising polar lipids dissolved in 1, 3-propanediol and whose parameter a according to the CIELAB color space is greater than or equal to-5, preferably greater than-10, preferably greater than-10, preferably greater than-10, preferably greater than-10, preferably greater than-10, preferably greater than-10, preferably greater than-10, preferably greater than-10, preferably greater than-10, preferably greater than-10, preferably greater than-10, preferably to the use of said algae extract as a cosmetic active agent, and to a cosmetic composition comprising said algae extract.

The invention discloses a preparation method of a non-free radical type ozone catalyst suitable for high-salinity wastewater, which comprises the following steps: grinding silicon-aluminum-based mineral powder to 200-1200 meshes, and then drying for later use; the method comprises the following steps: uniformly mixing algae biomass of which the water content is less than 5% with silicon-aluminum-based mineral powder according to a mass ratio of (1: 5)-(1: 20), and carrying out rolling ball granulation to obtain a granular material; and drying and roasting the obtained particle material to obtain the catalyst. According to the ozone catalyst prepared by the method disclosed by the invention, algae biomass is taken as a raw material to introduce a high-activity carbon catalytic matrix and active catalytic sites of nitrogen and phosphorus atoms, so that a good way for realizing resource utilization of solid wastes is provided; meanwhile, alumina powder, natural zeolite powder and the like which are low in cost and easy to obtain are used for achieving granulation of the catalyst form and stable recovery in application, and the preparation method is easy to popularize.

The invention provides a lake water ecological system restoration method based on staged biological regulation and control, and belongs to the field of water environment treatment and water ecological restoration. According to the method, directional putting and regulation of aquatic animal communities are performed in three stages according to the recovery process of submerged plants: in the early regulation stage, carnivorous fishes are put to inhibit breeding of benthic omnivorous fishes; a middle-stage regulation and control stage: introducing benthonic animals to cooperatively control the quality of algae biomass and improve the transparency of the water body; in the later regulation and control stage, herbivorous fishes are put to promote plant tillering, lateral branch development and root system downward growth and expansion, and the substrate fixing capacity is enhanced; according to the method, the aquatic animals with the specific function class groups are sequentially put in stages, directional regulation and control of the aquatic animal community structure are effectively achieved, the planting success rate of the submerged plants is increased, growth of the aquatic plants is promoted, water transparency is improved, and a stable water ecosystem with the self-purification capacity is constructed.

A method and system for direct quantification of the concentration of biomolecules in algal biomass. The biomolecules include lipids, proteins, and carbohydrates. An algae slurry is cultivated within a cultivation vessel, and algal biomass is harvested therefrom. A portion of biomass is analyzed using solvent-lipid analysis to extract lipids and nuclear magnetic resonance spectroscopy is used to quantify the biomolecular concentration of the biomass.

The invention discloses an efficient adsorbent for refractory organic matters in wastewater and a preparation method. The efficient adsorbent is prepared from the following raw material components: biomass, magnesium silicate clay minerals and MOFs (Metal-Organic Frameworks) in a mass ratio of 1: 1: (0.5-2), the MOFs in the raw materials have a high specific surface area and an adjustable pore structure, so that the adsorbent has excellent adsorption performance, the magnesium silicate clay mineral in the raw materials provides abundant electrostatic adsorption capacity, and the algae biomass in the raw materials can provide additional adsorption sites; functional groups on the surface of the algae biomass and a specific pore structure of MOFs can enable the composite material to have selective adsorption capacity on some refractory organics, the mass transfer capacity of the refractory organics on the surface of the composite material is enhanced through the outstanding surface point carrying performance of the magnesium silicate clay mineral, and the adsorption effect is good; meanwhile, the composite material has the advantages of sustainability and environmental protection.

The invention belongs to the technical field of sewage treatment, and discloses a bacteria-algae granular sludge storage and reactivation method which comprises the following steps: cleaning bacteria-algae granular sludge to be stored with pure water to obtain cleaned bacteria-algae granular sludge; adding the pretreated clear water and the cleaned bacteria-algae granular sludge into a storage reactor, and storing in a preset low-temperature environment and in a periodic light-dark alternating environment; when the stored bacteria-algae granular sludge needs to be reactivated, removing supernate in the storage reactor, and providing aeration and illumination in situ to obtain reactivated bacteria-algae granular sludge; a collaborative preservation system is formed through a clear water storage medium and coupling with a low-temperature environment and light-dark alternation period regulation and control means, so that the stored bacteria-algae system can quickly recover the sewage treatment efficiency, and meanwhile, the algae biomass is completely maintained; the obvious advantages are shown in the aspects of stability maintenance and function recovery efficiency of a symbiotic system of the bacteria-algae granular sludge.

Spirulina products, biomass, extracts, various foods, dietary supplements, and methods of preparation and use of Spirulina products are provided. Spirulina products are prepared from Arthrospira sp. biomass cultivated under controlled ultra-high density conditions with intense UV irradiation and intense continuous mixing. Spirulina products may be made from algae biomass and / or wet / dried extracts thereof, and are characterized by high levels of unopposed B12, providing more bioavailable B12 than pseudo-B12. Spirulina products may have more bioavailable B12 than pseudo-B12 (e.g., at least two or three times more bioavailable B12 than pseudo-B12, and up to thousands of times more bioavailable B12), providing a large portion of the daily B12 intake required in a wide range of foods.

The application discloses a kind of gate dam water bloom prevention and control pulse ecological regulation method and system, belong to water conservancy ecological protection technical field.The method includes: identification gate dam front control river section and layout monitoring point position;Collect multi-source monitoring data;Build comprehensive water bloom risk index HRI covering algal biomass, growth trend, hydrodynamic condition, environmental suitability and nutrient salt supply, according to which water bloom risk is divided into four grades;Match corresponding intensity pulse regulation sequence, generate executable scheme after multiple engineering safety constraint check;According to the rule of slow rise-maintenance-slow decline, execute gate regulation;After scheduling is completed, evaluate effect and adaptively correct risk index parameter and regulation sequence parameter.The application realizes the change of gate dam operation from passive flow preservation to active prevention and control type ecological regulation, with the advantages of accurate comprehensive risk identification, effective algal inhibition of hierarchical disturbance, comprehensive safety constraint and closed-loop feedback optimization.

The invention discloses a green tide algae biomass estimation method and system based on aerial remote sensing interpretation. The method comprises the following steps: S1, collecting a target coastal aerial remote sensing image and green tide algae data; s2, interpreting a beach type by using a convolutional neural network; s3, constructing a biomass estimation model; and S4, carrying out dynamic optimization and verification on the biomass estimation model. According to the method, the beach type is interpreted through aerial remote sensing for the first time, the quantitative relation between the beach type and the green tide algae biomass is established, and the regionalized biomass estimation precision is improved. Through multi-source data fusion, in combination with an aerial remote sensing image, historical green tide algae distribution data and an on-site sampling result, a dynamic weight model is constructed, and biomass prediction of different seasons and tide levels is optimized.

The invention discloses an algae biomass prediction method based on state evolution consistency constraint. The method comprises the following steps: preprocessing acquired data; after STL time sequence decomposition is carried out, trend terms are reserved, and algae density trend components are obtained; establishing a physical constraint based on an algae growth kinetic equation to obtain a specific growth rate dynamic equation; constructing a dynamic embedded time sequence prediction model, and introducing a dynamic consistency gating mechanism and a time step prediction correction mechanism; performing model training and evaluation, and obtaining an algae density prediction optimization model after improvement; and outputting an algae biomass predicted value through the optimization model. According to the method, algae growth dynamics and state evolution of a deep learning time sequence prediction model are deeply fused, the defect that only a data-driven model lacks physical consistency is avoided, the extreme value is predicted and corrected through dynamics consistency constraint and time step, the adaptability of the model to a complex hydrological environment is improved, the prediction precision of the model is improved, and the prediction efficiency of the model is improved. And the model interpretability is improved.

An algae-based thermoplastic foam is provided having a protein-rich algae biomass selected from either microalgae, macroalgae or combinations thereof. The protein content is greater than or equal to 15% by weight of the algae biomass and the algae biomass is dried to a moister content of less than or equal to 15% by weight having an average particle size of up to 200 microns. The composition includes a resin configured to exhibit rheological properties suitable for blending with algae including a melting temperature less than 250° C. and a melt flow rate in excess of 0.01 g / 10 min. The foam includes a foaming ingredient selected from the group consisting of crosslinkers, compatibilizers, plasticizers, accelerants, catalysts, blowing agents, other ingredients, and combinations thereof.

An ecological regulation method for inhibiting water bloom of reservoir tributaries, through collecting water bloom monitoring historical data, analyzing the relationship between water level amplitude and algal biomass, determining the water level amplitude threshold for inhibiting water bloom, on the basis of combining reservoir regulation rules and reservoir inflow and outflow data, calculating and determining the regulation period meeting the requirement of inhibiting water bloom, in the regulation period, through regulating and controlling reservoir water level to the predetermined range and rising and falling according to the preset amplitude and frequency, water temperature stratification is destroyed, so that the water bloom of the tributaries is effectively inhibited, the method is implemented under the premise of meeting the requirements of flood control, power generation and navigation, realizes the multi-target collaborative management, is convenient to operate, has practical application value, and has important significance for improving the water ecological environment of the reservoir area and protecting the safety of water resources. Meanwhile, the present application can also dynamically adjust the regulation strategy according to real-time monitoring data to adapt to the water bloom prevention and treatment requirements under different seasons and different weather conditions, and can further improve the water bloom prevention and treatment effect in combination with other ecological engineering technologies.

The invention discloses a method for producing biodiesel by using organic solid waste anaerobic fermentation liquor and microalgae, which comprises the following steps: inoculating microalgae into a culture medium for culture, and collecting algae cells; and adding the organic solid waste anaerobic fermentation liquor into the residual culture medium, inoculating microalgae for culture, and collecting new algae cells. According to the method, the organic solid waste anaerobic fermentation liquid is directly added into the residual culture medium, so that a new microalgae culture system can be quickly formed, the production process can be simplified, continuous culture of microalgae can be realized, the accumulation amount of microalgae biomass and the yield of biodiesel can be increased, the use amount of water can be remarkably reduced, and the production cost can be reduced. And addition of a new carbon source is avoided, so that the production cost is reduced. The method has the advantages of being simple in process, convenient to operate, low in cost, high in microalgae biomass yield, high in biodiesel yield, good in biodiesel quality and the like, is suitable for large-scale production of the biodiesel, and facilitates industrial application of the biodiesel.

The present invention discloses a system and method for monitoring and warning the scale of phytoplankton biomass in water bodies. The system is an algae biomass scale measurement scheme based on an ecological mathematical model, including a sample collection module 100, a water quality type identification module 200, an initial model matching module 300, a target model calibration module 400, an algae biomass scale prediction module 500, and an algal bloom information processing module 600. Through the hierarchical classification technology logic of water quality type trigger response and matching model, the system has a phased leap response to high organic matter water quality, which has emergency management significance. By constructing a prediction model around population dynamics, placing the importance of organic matter content before nitrogen and phosphorus content, constructing a mathematical function for environmental factors classification, and using surface runoff variables to characterize the hydrodynamic characteristics of water bodies, the present invention saves data costs and computing overhead, and reduces the adaptability of the technical solution for promotion. The present invention also provides a system-based method for monitoring and warning the scale of phytoplankton biomass in water bodies.

The invention relates to a planktonic algae biomass calculation method, system and device based on image segmentation. The method comprises the following steps: carrying out multi-depth-layer scanning on a planktonic algae water body sample; preprocessing the microscopic image sequence of the floating algae; target segmentation and classification are carried out on the preprocessed image sequence; judging whether the target segmentation results of the two adjacent frames belong to the same floating algae or not by utilizing the offset of the central point of the external horizontal rectangle of the segmented region and the structural similarity; performing cross-layer redundancy verification on multiple frames of targets at the same position based on the classification confidence; acquiring area data of different depth layers of the floating algae, and performing trapezoidal integration and edge compensation processing on the area data to obtain volume data; and calculating the biomass according to the volume data and the density information. According to the method, accurate identification and tracking of the planktonic algae in different depth layers can be realized, and planktonic algae biomass calculation can be efficiently and accurately completed.

The present invention relates to a process for deodorizing a Nannochloropsis algae biomass, comprising a) contacting the biomass with an adduct-forming compound selected from sodium bisulfite in an amount of 0.5-30% by weight, b) stirring or shaking, and c) collecting a solid from the suspension.

The invention relates to the field of data processing, in particular to a temperature control method and system in an algae culture pond, and the method comprises the steps: obtaining the related data of the algae culture pond, and drawing a monitoring curve; obtaining the growth state quantity corresponding to each time according to the monitoring curve, and obtaining the growth degree and the growth cycle of each time; when the growth degree is reduced, the algae are in the last stage of the growth period, the last-stage growth degree of the algae is obtained according to the growth difference of all the time, and whether a temperature control system of the algae culture pond is adjusted or not is judged according to the last-stage growth degree corresponding to all the time, so that the suitable growth environment of the algae is achieved; and obtaining the harvest time of algae growth according to the turning point of the period corresponding to the last-stage growth degree. According to the method, the temperature is adjusted to the optimal cultivation temperature in time, normal growth and reproduction of algae are promoted, it is ensured that harvesting is conducted when the algae biomass reaches the peak value, and therefore the yield and quality are maximized.

To provide a method for the protein enrichment of biomass of red unicellular algae such as Galdieria, and also to provide biomass obtained using the method.SOLUTION: A method for producing protein-rich biomass of lysed microorganisms comprises the steps of b.1) suspending biomass of lysed microorganisms, b.2) acidifying the resultant suspension to pH of 5 or less, c.) recovering the lysed biomass fraction insoluble at pH of 5 or less, and if need be, steps for repeating b.1), b.2) and c.) on the lysed biomass fraction insoluble at pH of 5 or less recovered in c.).SELECTED DRAWING: None

The present invention relates to the field of data processing, and more specifically, to a temperature control method and system in an algae culture pond, the method comprising: obtaining relevant data of the algae culture pond and drawing a monitoring curve; obtaining the growth state quantity corresponding to each time according to the monitoring curve, and obtaining the growth degree and growth cycle at each time; in response to the decrease in growth degree, the algae is at the end of the growth period, and according to the growth difference at each time, the terminal growth degree of the algae is obtained, and according to the terminal growth degree corresponding to each time, it is determined whether to adjust the temperature control system of the algae culture pond to achieve a suitable growth environment for the algae, and the harvest period of the algae growth is obtained according to the turning point of the cycle corresponding to the terminal growth degree. The present invention promotes the normal growth and reproduction of algae by timely adjusting the temperature to the optimal culture temperature, and ensures that the algae biomass is harvested when it reaches a peak, thereby maximizing the yield and quality.