16 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 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 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 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 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 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 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.