25 results about "Cyanobacteria bloom" patented technology

The invention relates to the technical field of data processing, and discloses an intelligent monitoring method and system for cyanobacterial bloom outbreak. The method comprises the following steps: collecting a water surface spectrum and underwater particle size data, carrying out atmospheric correction, calculating a normalized algae index and a blue-green wave band ratio, inputting the normalized algae index and the blue-green wave band ratio into a U-Net network to obtain a water bloom coverage area, carrying out integral interpolation on the particle size data to obtain a vertical section distribution curve, and calculating a surface layer enrichment degree and a floating trend index, and establishing a water surface-underwater association relationship through random forest regression training, and inputting the multi-dimensional features into a CNN-LSTM model to predict a water bloom outbreak probability and determine an early warning level. According to the method, the problem that the cyanobacterial bloom three-dimensional structure cannot be comprehensively described due to the lack of effective fusion of the water surface spectral data and the underwater vertical section data is solved, the problem that the early warning timeliness of cyanobacterial bloom outbreak is insufficient due to the lack of a multi-source data time sequence analysis model is solved, and the spatial integrity and early warning advance of cyanobacterial bloom monitoring are improved.

The embodiment of the invention is suitable for the field of environment monitoring of computer vision, and provides a cyanobacterial bloom monitoring method based on multi-modal data fusion and deep learning, in the monitoring method, after obtained initial data is preprocessed, variation point detection is introduced to reduce human factor interference, reduce the calculation amount and enhance the model adaptability; according to the method, a convolutional neural network (CNN) is utilized to extract multi-layer features, the features are input into a long short-term memory (LSTM) network for time sequence modeling, the model performance is improved, on the basis, the features of the CNN and the LSTM are fused, and the model accuracy is further improved; finally, variation point detection is introduced again, rich feature information and multi-mode complementarity are utilized, image key information is enhanced, and detection precision and model robustness are improved. The monitoring method provided by the embodiment of the invention breaks through the limitation of spatial-temporal characteristic splitting of a traditional method, significantly improves the prediction continuity and accuracy, and provides high-reliability support for early warning of cyanobacterial bloom.

The invention discloses a rapid emergency intelligent treatment method and system for lake algal bloom outbreak, and belongs to the technical field of water environment governance, and the treatment method comprises the steps that a plurality of long-strip-shaped standard enclosure pieces are sequentially connected end to end to form an enclosure, and an algal bloom outbreak area is surrounded; geographic position information and water chlorophyll concentration information are obtained through a monitoring device in the enclosure and transmitted to a cloud processing platform, and the cloud processing platform plans a driving route according to the geographic position information and determines the dosage of a flocculating agent and a biological inhibitor according to the chlorophyll concentration; the unmanned ship loads a flocculating agent and a biological inhibitor in sequence according to the respective dosage, and enters the enclosure along the driving route to be thrown after each time of loading. Through combined application of the semi-open enclosure and an intelligent system, the whole treatment process is more efficient and convenient, the labor cost is reduced, and a more scientific, efficient and economical solution is provided for treatment of cyanobacterial bloom.

The invention provides a fixed cyanobacterial bloom collector, and relates to the technical field of cyanobacterial bloom collection, the fixed cyanobacterial bloom collector comprises a collector shell, the collector shell is provided with a cyanobacterial inlet, a steel wire mesh is installed in the collector shell, an inclined screen type filter is arranged above the steel wire mesh, and the inclined screen type filter is fixedly connected with the collector shell; a collecting assembly is installed on the outer side of the collector shell, a drainage groove is formed in the bottom of the collector shell, a water inlet is formed in the drainage groove, a submersible water impeller is installed on the inner side of the drainage groove, a first drainage pipe is installed on the collector shell and communicated with an inner cavity of the drainage groove, and an air flotation assembly is installed between the drainage groove and the steel wire mesh. The cyanobacterial bloom collecting device is simple in overall structure and convenient to use, efficient and automatic cyanobacterial bloom collecting is achieved through the matched design of the inclined screen type filter, the air floating assembly, the floating hose and the collecting assembly, and the common problems of low efficiency and manual intervention in manual or semi-automatic equipment are solved.

The cyanobacterial bloom salvaging device comprises a rubber boat, the top of the rubber boat is fixedly connected with a sewage collecting pool, the rear side of the sewage collecting pool is fixedly connected with a lifting mechanism, the top of the front side of the lifting mechanism is fixedly connected with an air flotation machine, and the air flotation machine is fixedly connected with a water outlet of the air flotation machine. A slag scraping plate is fixedly connected to the top of the air flotation machine, a shovel plate is fixedly connected to the front side of the top of the sewage collection tank, a traction rope roller is arranged in the middle of the top of the rear side of the sewage collection tank, and a positioning mechanism is fixedly connected to the middle of the rear side of the sewage collection tank; by arranging the rubber boat, the sewage collection tank, the air flotation machine, the slag scraping plate, the shovel plate, the traction rope roller and the positioning mechanism, efficient salvage and collection of cyanobacterial blooms are achieved; an operator only needs to float the whole device on the surface of a water pool through a rubber boat, and cyanobacterial blooms are conveyed into a sewage collection pool through a shovel plate and separated through an air flotation machine.

The present invention discloses a strain of Saccharothrix violaceirubra NBAL-S001 and its application. The Saccharothrix NBAL-S001 of the present invention is isolated from soil, and its fermentation liquid can inhibit the photosynthesis of harmful algae blooms - Microcystis aeruginosa, and has a very high algae-dissolving effect, with a 5-day algae-dissolving rate of up to 97%. The Saccharothrix NBAL-S001 of the present invention is a biological control strain with potential development and application value in preventing and controlling cyanobacterial blooms.

The invention provides application of a macleaya cordata extract as a plant source algaecide in cyanobacterial bloom treatment, and relates to the technical field of plant source algaecide product development and environmental protection. The total alkali content of the macleaya cordata extract is 50-80%, and the main effective components of the macleaya cordata extract comprise 40-60% of sanguinarine and 10-20% of chelerythrine. The blue-green algae comprise microcystis aeruginosa, anabaena, nematonema, synechocystis, oscillatoria and nostoc. As a plant source in China, the macleaya cordata has great development and utilization values, has the advantages of wide antibacterial spectrum, no drug resistance, no residue, good safety, wide distribution and the like, and has great development prospects.

The present application relates to a kind of blue-green algae bloom ground multispectral remote sensing monitoring system and method, to solve the technical problems such as low resolution and weather influence of satellite remote sensing to inland lake blue-green algae bloom monitoring frequency low, this system Ground multispectral remote sensing observation subsystem includes electric control box, ground support, setting on two-dimensional turntable of ground support and blue-green algae bloom multispectral camera fixedly set on two-dimensional turntable;Blue-green algae bloom multispectral camera contains at least 4 spectral bands;Ground multispectral remote sensing service subsystem includes control acquisition module and data processing analysis module.The method includes calibration to blue-green algae bloom multispectral camera, start ground multispectral remote sensing monitoring system;Record the multispectral image of multiple angles of entire lake area;Multispectral image data analysis extraction;With the change trend of satellite remote sensing data comparison;Repeat the operation of recording multispectral image, according to the result of comparative analysis gives blue-green algae bloom warning.

The utility model relates to the technical field of cyanobacterial bloom treatment, and discloses cyanobacterial bloom prevention and control equipment which comprises a base, a tank body is fixedly connected to one side of the upper end of the base, a water pump is fixedly connected to a liquid outlet of the tank body, a hose is fixedly connected to the output end of the water pump, and supporting frames which are opposite front and back are fixedly connected to the other side of the upper end of the base. A threaded rod is rotationally connected to the inner wall of the top end of the supporting frame on one side, a first servo motor for driving the threaded rod to rotate is fixedly connected to the upper end of the supporting frame, a threaded sleeve is in threaded connection to the outer side of the threaded rod, and a spraying box is fixedly connected to the front end of the threaded sleeve. Through cooperation of the tank body, the water pump, the hose, the supporting frame, the threaded rod, the first servo motor, the threaded sleeve, the spraying box and the spraying head, the effect of evenly spraying a biological agent to blue-green algae is achieved, and therefore the blue-green algae growth environment can be destroyed, and the long-time prevention and treatment effect is achieved.

The invention relates to a cyanobacterial bloom early warning method and device, a storage medium and a system.The cyanobacterial bloom early warning method comprises the steps that a plurality of monitoring nodes are arranged on a target water surface, monitoring data including optical image data and spectral data are collected through monitoring equipment of all the monitoring nodes, and image features of cyanobacterial bloom are extracted from the optical image data; according to the method, the spectral features of the cyanobacterial bloom are extracted from the spectral data, the image features and the spectral features are input into the pre-trained cyanobacterial bloom early warning model, the cyanobacterial bloom occurrence probability is obtained, and when the cyanobacterial bloom occurrence probability is larger than the target threshold value, early warning information can be sent to the terminal in time, so that the timeliness and accuracy of cyanobacterial bloom early warning are improved.

The present invention relates to the field of microbial engineering technology, and specifically discloses a composite microbial agent for controlling cyanobacterial blooms. The Bacillus velezinoff provided by the present invention destroys algal cells and inhibits the activity of related biological enzymes by secreting heterocyclic algaecidal active substances, while causing the leakage of cell contents (such as algal toxins, polysaccharides, and lipids); the extracellular enzyme system (such as alkaline phosphatase and β-glucosidase) of Sphingomonas decomposes free algal toxins into low-toxic linear peptide segments, while hydrolyzing the β-1,4-glycosidic bonds in EPS, converting algal organic fragments into small-molecule soluble substances, and providing substrates for subsequent metabolism of Rhodococcus; the lipase and esterase secreted by Rhodococcus can hydrolyze triglycerides and wax components, and convert fatty acids into energy and biosurfactants through a β-oxidation pathway, thereby enhancing the hydrophilicity of algal fragments and promoting overall degradation efficiency.

This application relates to the field of data processing technology and discloses an intelligent monitoring method and system for cyanobacterial blooms. The method includes: collecting surface spectral and underwater particle size data and performing atmospheric correction; calculating the normalized algal index and blue-green band ratio, then inputting the calculated data into a U-Net network to obtain the bloom coverage area; integrating and interpolating the particle size data to obtain the vertical profile distribution curve and calculating the surface enrichment and buoyancy trend index; establishing the surface-underwater correlation through random forest regression training; and inputting the multidimensional features into a CNN-LSTM model to predict the bloom probability and determine the warning level. This application solves the problems of insufficient effective fusion of surface spectral data and underwater vertical profile data, which prevents a comprehensive depiction of the three-dimensional structure of cyanobacterial blooms, and the lack of a multi-source data time-series analysis model, which leads to insufficient timeliness of bloom warnings. It improves the spatial integrity and early warning lead time of cyanobacterial bloom monitoring.

To provide a novel combined treatment method for cyanobacteria bloom, which relates to a technical field of an environmental management.SOLUTION: A combined treatment method of the present invention includes: (1) an agglomeration step of calculating a volume of a water body, adding polyaluminum chloride powder in the amount of 5 to 10 ppm, mixing thoroughly with water before adding the polyaluminum chloride powder to completely dissolve the powder, and spraying evenly along a water surface; (2) a stirring step of moving a boat back and forth across the water surface to uniformly mix the added polyaluminum chloride with lake water; and (3) a sonication step of, after leaving the same for a certain period of time, performing ultrasonic treatment by moving back and forth across a surface of the water body using a mobile ultrasonic treatment device. The present invention can quickly remove cyanobacterial cells and maintain a control effect for a longer period, thereby achieving a purpose of treating dispersed cyanobacterial blooms.SELECTED DRAWING: Figure 1

The application provides a ship-mounted water bloom cyanobacteria collecting device, which comprises a ship body, algae-water separation nets are fixed on both sides of the ship body, a collecting opening is arranged at the tail of the algae-water separation net, a valve is arranged on the collecting opening, the collecting opening is communicated with a collecting cabin through an algae conveying pipe, a suction pump is connected to the algae conveying pipe, and the collecting cabin is arranged at the tail of the ship body; the algae-water separation net is carried on the ship body of an existing ship in a water bloom area, cyanobacteria are collected during the sailing of the ship, and the algae-water separation net is taken down and stored after the collection operation is completed, the collection efficiency of the cyanobacteria is significantly improved, and the problem that manual fishing of the water bloom cyanobacteria is time-consuming and labor-consuming is solved; based on the filtering principle, the algae-water separation nets with different aperture diameters are selected and matched according to different types of cyanobacteria bloom, and the collection and separation of the cyanobacteria bloom can be carried out in a targeted manner; the problem of blockage of the stainless steel screen is solved to a certain extent by the mode that a clean brush is driven by an impeller to clean the algae-water separation net, and the algae-water separation efficiency is further improved.

The invention discloses potamogeton malabaricus phyllosphere attachment bacteria ML5 with algae-lysing activity and application of the potamogeton malabaricus phyllosphere attachment bacteria ML5, and belongs to the technical field of ecological microorganisms. The bacterium ML5 is named as Priesta aryabhattai ML5, the strain is preserved in Guangdong Province Microbial Culture Collection Center located at No.100, Xianlie Middle Road, Guangzhou City, Guangdong Province, the preservation number is GDMCC No: 65778, the preservation date is January 13, 2025, and the strain can be separated from potamogeton malabaricus phyllosphere. The invention further provides a microbial algicidal preparation containing the potamogeton malabaricus phyllosphere attached bacterium ML5. The method is used for biological prevention and control of freshwater cyanobacterial bloom, especially invasion cyanobacteria cuscuta larakii, and has a wide application prospect.

The invention provides application of closantel compounds in inhibition of growth of blue-green algae, and relates to the technical fields of environmental protection, aquaculture and the like. The cyanobacteria fructose 1, 6-diphosphate / sedoheptulose-1, 7-diphosphatase enzyme body experiment shows that the closantel compound has a relatively good inhibition effect on cyanobacteria Cy-FBP / SBPase, and the IC50 of the closantel compound is 0.16 + / -0.01 [mu] M to 15.3 + / -1.7 [mu] M. The cyanobacteria growth inhibition experiment shows that the EC50 for inhibiting various cyanobacteria is 0.46-14.52 [mu] M, which is superior to the current commercial algicide prometryn, and has the safety to human bodies, so that the closantel compound can be used as an effective component of the algicide to be applied to comprehensive treatment of cyanobacteria bloom, and has a good application prospect in the comprehensive treatment of cyanobacteria bloom. The application field of the closantel compound is also widened.

The present invention relates to the field of environmental monitoring technology, and specifically to a multi-source satellite high-temporal-spatial-resolution monitoring method for cyanobacteria blooms in Lake Taihu, comprising a Rayleigh correction method based on a 6SV radiation transfer model and a high-temporal-spatial-resolution cyanobacteria bloom monitoring method based on data fusion. The present invention applies a flexible spatiotemporal-data fusion method to generate FAI index information with high spatiotemporal-resolution. Benefiting from the high temporal-resolution characteristics of geostationary satellites, it can provide timely early warnings and information on the diurnal changes of cyanobacteria in Lake Taihu to environmental monitoring departments and scientific research departments around Lake Taihu, which is beneficial for local departments to promptly carry out cyanobacteria bloom prevention and control and cyanobacteria bloom outbreak cause analysis. At the same time, based on the high-spatial-resolution cyanobacteria bloom distribution map generated by the flexible spatiotemporal-data fusion method, it is possible to timely observe small-scale cyanobacteria bloom outbreaks and reduce missed judgments of cyanobacteria bloom outbreaks.

The application provides a water source cyanobacteria bloom online monitoring and early warning system, which is suitable for the technical field of cyanobacteria bloom monitoring and early warning and comprises an online monitoring and early warning chain, wherein the online monitoring and early warning chain comprises a plurality of unit online monitoring members; the unit online monitoring member comprises a fluorescent probe detection device and an outer protective cover; the fluorescent probe detection device is divided into a detection clamp cavity in the outer protective cover; a water inlet annular groove is reserved at the top of the outer protective cover, and a sampling cover is arranged outside the water inlet annular groove; a water pump is installed on the outer protective cover; the water pump draws water on the water surface of the water source to the outer protective cover, and then the water enters the water inlet annular groove and the detection clamp cavity, and is monitored by the fluorescent probe detection device; the water on the water surface of the water source around the unit online monitoring member is real-timely drawn to the unit online monitoring member, the cyanobacteria on the calm water surface can be accurately and timely monitored and early warned, and subsequent scientific response can be facilitated.

The present invention relates to the technical field of optical analysis, specifically to a method, device, and system for monitoring and warning of cyanobacterial blooms. The method comprises: obtaining a spectral reflectance curve for cyanobacteria and a spectral reflectance curve for each pixel in remote sensing spectral data; using the absolute value of the difference between the spectral reflectance curves of adjacent pixels as an intensity curve; obtaining a number of peak clusters based on the amplitude of the data points in the intensity curve, and further constructing a spectral reflectance-to-spectral reflectance conversion model based on the spectral reflectance curve of the cyanobacteria. The model also obtains the spectral reflectance of the corresponding end members of all peak clusters within their overall wavelength range, thereby monitoring and warning of cyanobacterial blooms. Based on the uniform distribution of various substances within a local area of ​​a lake, the present invention constructs a spectral reflectance-to-reflectance conversion model to accurately monitor the proportion of cyanobacterial components at each location, achieving accurate monitoring and timely warning of cyanobacterial blooms.

The invention discloses a cyanobacteria population particle characterization method based on an artificial intelligence algorithm, and the method comprises the following steps: carrying out the omnibearing and multi-angle data collection of a target water area through employing an unmanned plane and an unmanned ship carrier to carry a multispectral camera and water quality monitoring sensor equipment; carrying out denoising, correction and normalization preprocessing operation on the collected data; introducing a deep learning algorithm, constructing a blue-green algae image recognition model, and carrying out model training and optimization through a large amount of labeled blue-green algae image data on the basis of a convolutional neural network; the beneficial effects of the invention are that the method can automatically learn and extract complex features in the blue-green algae image, and achieves the high-precision recognition and classification of blue-green algae blooms; compared with a traditional image processing method, the recognition accuracy and stability are remarkably improved; the model is trained through multispectral image data, information of different spectral bands can be fully utilized, and the influence of environmental factors on the recognition result is reduced.

The present invention provides a bio-based polyurethane foam with a killing effect on cyanobacteria that carries wood vinegar, belonging to the field of cyanobacteria management and organic waste utilization. The bio-based polyurethane foam includes the following components, and the mass fractions of each component are: 48-50 parts of polyols, 30-35 parts of polyphenyl polymethylene polyisocyanates, 2-3 parts of polyethylene glycol chitosan, 1-1.5 parts of quaternary ammonium salt chitosan, 0.1-0.2 parts of pore openers, 1-2 parts of chain extenders, 1-1.5 parts of chemical foaming agents, 1-2 parts of foam stabilizers, and 0.3-0.5 parts of amine catalysts. Wherein polyethylene glycol chitosan is used as a cross-linking agent, which is modified by polyethylene glycol methyl ether and chitosan. The prepared bio-based polyurethane loaded wood vinegar foam presents hydrophilic, porous and algae-removing characteristics. The bio-based polyurethane loaded wood vinegar foam can efficiently remove cyanobacteria blooms for a long time, and has good biodegradability.

The invention discloses a method and a system for identifying cyanobacterial bloom risk based on double-satellite cooperation. The method comprises the following steps: S1, constructing an A-satellite lightweight chromaticity boundary triggering model and a B-satellite refined spectrum risk classification model based on historical data; s2, preprocessing and identifying a target water body area by using an A satellite receiving image, and converting the multispectral reflectivity value of each water body pixel into a CIE chromaticity space to obtain a chromaticity coordinate; judging whether the chromaticity coordinates exceed a preset boundary or not, and if the chromaticity coordinates meet a triggering condition, scheduling a satellite B through an inter-satellite communication link; s3, the satellite B responds to the scheduling instruction, analyzes a task triggering report, obtains an image extraction pixel multi-dimensional feature system, calculates risk scores by using a spectrum risk classification model, grades the risk scores, and outputs an identification result; according to the method, the A star uses the chromaticity boundary triggering model to screen and dispatch the B star, and the B star uses the spectrum risk classification model to perform refined evaluation, so that double-star cooperative identification of the cyanobacterial bloom risk is realized.

The invention discloses an amino acid blue-green algae inhibitor and application thereof, and belongs to the technical field of water body remediation. The amino acid blue-green algae inhibitor comprises levodopa, homoserine and threonine, and preferably, the concentration of the levodopa is 100 [mu] mol / L, the concentration of the homoserine is 160 [mu] mol / L, and the concentration of the threonine is 500 [mu] mol / L. Three amino acid substances, namely levodopa, homoserine and threonine, with high algal inhibition efficiency are screened by analyzing EC50 of amino acid substances with algal inhibition effects, and experiments prove that the three amino acid substances have extremely high blue-green algae killing activity, so that the amino acid blue-green algae inhibitor is obtained. And an efficient, convenient and safe way is provided for biological prevention and control of cyanobacterial bloom.

The invention belongs to the technical field of blue-green algae treatment, and particularly relates to a system for inhibiting blue-green algae bloom and application of the system. The system is a mixed solution composed of Na2SiO39H2O and H2O2; the molar ratio of Na2SiO39H2O to H2O2 is (0.25-5): 1, the system provided by the invention obviously reduces the usage amount of H2O2 when inhibiting cyanobacteria blooms, not only reduces the investment cost of chemical agents, but also obviously reduces the potential risk of oxidizing agent residues and release of endogenous substances in cells in the cyanobacteria to the water ecological environment, has multiple advantages of efficient inhibition, agent reduction and the like, and is suitable for industrial production. Therefore, the method has an important application prospect in treatment of cyanobacteria bloom.

This utility model relates to the field of cyanobacterial bloom control technology, specifically to an air-floating internal cyanobacterial collection and drainage structure for a cyanobacterial bloom control device. It includes an air-floating boat, with an air-floating machine fixedly connected to the top of the boat. A shovel mechanism is fixedly connected to the front of the air-floating machine, and a power mechanism is fixedly connected to the top front of the shovel mechanism. A cyanobacterial collection mechanism is fixedly connected to the rear of the air-floating machine, and a compaction mechanism is fixedly connected to the rear of the cyanobacterial collection mechanism. The air-floating machine includes a main body, with a water storage tank fixedly connected to the bottom front of the main body. A partition is fixedly connected to the left side of the inner wall of the main body. This utility model, by incorporating an air-floating machine, a shovel mechanism, a power mechanism, a cyanobacterial collection mechanism, and a compaction mechanism, achieves efficient and automated treatment of cyanobacterial blooms. The combined use of the air-floating machine main body and the skimmer effectively separates the cyanobacteria from the water, facilitating subsequent treatment.