9 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 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 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.

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.

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 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 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.