Automatic blue algae monitoring and early warning method and automatic blue algae monitoring and early warning system
A technology for automatic monitoring and cyanobacteria, applied in signal transmission systems, neural learning methods, measuring devices, etc., can solve problems such as inability to meet the needs of cyanobacteria monitoring and poor results, achieve convenient video image data transmission, improve accuracy, and improve effectiveness sexual effect
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Embodiment 1
[0054] see figure 1 , the present embodiment provides a method for automatic monitoring and early warning of cyanobacteria, which includes the following steps. What needs to be explained here is that the early warning method in this embodiment is described through the monitoring and early warning of Chaohu Lake.
[0055] Step 1. Shoot images of cyanobacteria in a certain water area in real time to obtain corresponding images of cyanobacteria. There are various ways to acquire the cyanobacteria image. In this embodiment, the cyanobacteria image is acquired through the dome camera and the image acquisition module. The existing camera has achieved starlight night vision, zooming dozens of times, and can see for kilometers. Therefore, installing a dome camera to collect video images of cyanobacteria in places where cyanobacteria blooms often occur in Chaohu Lake, and multi-point joint monitoring can realize Chaohu Lake. Whole water monitoring. In the actual installation, multip...
Embodiment 2
[0096] see Figure 10 , This embodiment provides an automatic monitoring and early warning system for cyanobacteria, which applies the automatic monitoring and early warning method for cyanobacteria in Embodiment 1. In this embodiment, the blue-green algae automatic monitoring and early warning system includes an on-site monitoring subsystem and a remote control subsystem.
[0097] The on-site monitoring subsystem includes a camera, an image acquisition module and a communication module, and may also include a power module. Among them, the image acquisition module and the communication module can form a centralized control center. The camera is used to capture images of cyanobacteria in a certain water area in real time. In this embodiment, the camera is a dome camera. The image acquisition module is used to generate corresponding cyanobacteria images according to the real-time images captured by the camera. The communication module is used to send the cyanobacteria image t...
Embodiment 3
[0103] This embodiment provides a computer terminal, which includes a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the program, the steps of the automatic monitoring and early warning method for cyanobacteria in Embodiment 1 are realized.
[0104] When the method of Embodiment 1 or 2 is applied, it can be applied in the form of software, such as a program designed to run independently, installed on a computer terminal, and the computer terminal can be a computer, a smart phone, or other Internet of Things devices. The method of Embodiment 1 or 2 can also be designed as an embedded running program, installed on a computer terminal, such as a single-chip microcomputer.
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