Blue-green algae automatic identifying and salvaging equipment based on Internet of Things and using method of blue-green algae automatic identifying and salvaging equipment

An automatic identification and Internet of Things technology, which is applied to the cleaning of motor vehicles, special-purpose vessels, and open water surfaces, can solve the problems of increasing labor intensity, time-consuming and labor-intensive work, and increasing work intensity.

Inactive Publication Date: 2021-11-19
JIANGSU ZHONGKE JIYE ENVIRONMENTAL TECH CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Traditional cyanobacteria salvage methods mostly use a salvage ship to drive in the waters and use a special salvage device to salvage. Manual operations are required during the salvage process. Manually controlling the salvage ship to drive to the area to be salvaged and then controlling the salvage device to salvage is tim

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Blue-green algae automatic identifying and salvaging equipment based on Internet of Things and using method of blue-green algae automatic identifying and salvaging equipment
  • Blue-green algae automatic identifying and salvaging equipment based on Internet of Things and using method of blue-green algae automatic identifying and salvaging equipment
  • Blue-green algae automatic identifying and salvaging equipment based on Internet of Things and using method of blue-green algae automatic identifying and salvaging equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] refer to Figure 1-7 , a cyanobacteria automatic identification salvage device based on the Internet of Things, including a hull 1, two symmetrical first cameras 2 are fixedly connected to the top of the hull 1, and a first sieve plate 16 and a second sieve plate are slidably connected in the hull 1 19, and the first sieve plate 16 is located below the second sieve plate 19, the inner wall of the side of the hull 1 away from each other is fixedly connected with the first fixed plate 14, and the tops of the two first fixed plates 14 are fixedly connected with the first Springs 15, the tops of the two first springs 15 are fixedly connected to the bottom of the first sieve plate 16, and the inner wall of the side of the hull 1 away from each other is fixedly connected with the second fixed plate 17, and the tops of the two second fixed plates 17 Both are fixedly connected with the second spring 18, and the tops of the two second springs 18 are all fixedly connected with th...

Embodiment 2

[0052] refer to Figure 1-9 , a cyanobacteria automatic identification salvage device based on the Internet of Things, including a hull 1, two symmetrical first cameras 2 are fixedly connected to the top of the hull 1, and a first sieve plate 16 and a second sieve plate are slidably connected in the hull 1 19, and the first sieve plate 16 is located below the second sieve plate 19, the inner wall of the side of the hull 1 away from each other is fixedly connected with the first fixed plate 14, and the tops of the two first fixed plates 14 are fixedly connected with the first Springs 15, the tops of the two first springs 15 are fixedly connected to the bottom of the first sieve plate 16, and the inner wall of the side of the hull 1 away from each other is fixedly connected with the second fixed plate 17, and the tops of the two second fixed plates 17 Both are fixedly connected with the second spring 18, and the tops of the two second springs 18 are all fixedly connected with th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses blue-green algae automatic identifying and salvaging equipment based on Internet of Things and a using method of the blue-green algae automatic identifying and salvaging equipment, and the following scheme is provided. The blue-green algae automatic identifying and salvaging equipment comprises a ship body, two symmetrical first cameras are fixedly connected to the top of the ship body, a first sieve plate and a second sieve plate are slidably connected into the ship body, and the first sieve plate is located below the second sieve plate; first fixing plates are fixedly connected to the inner walls of the sides, away from each other, of the ship body, and first springs are fixedly connected to the tops of the two first fixing plates. According to the blue-green algae automatic identifying and salvaging equipment based on the Internet of Things and the using method of the blue-green algae automatic identifying and salvaging equipment, the structure is compact, the position of blue-green algae is scanned through a first camera, and a high-pressure spray gun and a water suction pump are started through a control panel to enable the ship body to automatically and rapidly move to a to-be-salvaged area, manual operation is not needed, and easiness and fastness are achieved; and when a collecting box is used for salvaging the blue-green algae, garbage mixed in the blue-green algae is distinguished through a garbage basket and a round rod, so that the garbage and the blue-green algae are prevented from being mixed together, and the working intensity of blue-green algae recycling in the later period is reduced.

Description

technical field [0001] The invention relates to the technical field of cyanobacteria salvage, in particular to an Internet of Things-based automatic identification and salvage device for cyanobacteria and a method for using the same. Background technique [0002] Blue-green algae or blue-green algae cover the surface of the water body and present different colors such as blue, blue-green, etc. They belong to prokaryotic microorganisms. When a large amount of nitrogen-containing and phosphorus-containing substances are discharged into the water body, it will lead to eutrophication of the water body and promote the excessive reproduction of cyanobacteria. , the phenomenon that cyanobacteria cover the water surface and make the water body present different colors, which is called algae bloom in fresh waters and algal blooms in sea waters. [0003] Traditional cyanobacteria salvage methods mostly use a salvage ship to drive in the waters and use a special salvage device to salva...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): E02B15/10B63B35/32
CPCE02B15/10B63B35/32
Inventor 蒋建平李钰路遥
Owner JIANGSU ZHONGKE JIYE ENVIRONMENTAL TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap