An intelligent monitoring system for aquaculture water environment based on big data

A technology for aquaculture and intelligent monitoring, applied in the field of aquaculture monitoring, can solve problems such as inability to monitor water body parameters, unscientific management, and pollution of aquaculture water, so as to achieve ecological and economic benefits, improve accuracy and reliability, The effect of improving the quality of farming

Active Publication Date: 2020-12-25
东营市惠泽农业科技有限公司
View PDF23 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In traditional fish farming, farmers do not pay attention to the water quality of fish ponds due to lack of farming experience, and the repeated use of aquaculture ponds leads to pollution of the aquaculture water. In the long run, it leads to bacterial contamination, causing various fish diseases, and may bring serious serious problems to farmers. economic loss
Therefore, it is necessary to strengthen the monitoring of the aquaculture water environment, but the current monitoring methods cannot accurately monitor the water parameters in the fish aquaculture environment, and there are problems such as low monitoring level and unscientific management, and it is impossible to determine according to the current water quality of the fish aquaculture environment. Appropriate breeding density affects the normal growth of fish. In view of this, the present invention designs an intelligent monitoring system for aquaculture water environment based on big data

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
  • An intelligent monitoring system for aquaculture water environment based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0041] see figure 1 As shown, an intelligent monitoring system for aquaculture water environment based on big data includes a water body area division module, a sampling acquisition module, a water quality parameter detection module, a parameter preprocessing module, a manual input module, a parameter storage database, and a water quality parameter analysis module , management server, aeration adjustment terminal and display terminal.

[0042] The sampling collect...

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 an aquaculture industry water environment intelligent monitoring system based on big data. The aquaculture industry water environment intelligent monitoring system comprises awater area division module, a sampling acquisition module, a water quality parameter detection module, a parameter preprocessing module, a manual input module, a parameter storage database, a water quality parameter analysis module, a management server, an oxygenation adjustment terminal and a display terminal. Aquaculture water body regions are divided, sampled and subjected to water quality detection through the water body region division module, the sampling acquisition module and the water quality parameter detection module, so that the accuracy of water quality detection is improved; thewater quality parameter analysis module is combined to analyze the detected water quality parameters; according to the method, quantitative display of the water quality of the aquaculture water body is achieved, managers can visually know the influence effect of the water quality on fish aquaculture, the appropriate aquaculture density is determined according to the water quality aquaculture suitability coefficient, an appropriate growth environment is provided for fish aquaculture, and the aquaculture quality of fishes is improved.

Description

technical field [0001] The invention relates to the technical field of aquaculture monitoring, and relates to an intelligent monitoring system for aquaculture water environment based on big data. Background technique [0002] With the development of the economy and the gradual change of people's living and consumption habits, in recent years, the aquaculture industry has sprung up in various places and has become a pillar industry for rural economic development in many places. It has the advantages of low investment and short cycle. , Saving land resources and other advantages, deeply welcomed by farmers. However, aquaculture is an industry with high technical content, such as the selection of suitable sites, the prevention and control of natural enemies and diseases, the placement of facilities such as aeration machines, and feeding management techniques. [0003] In traditional fish farming, farmers do not pay attention to the water quality of fish ponds due to lack of fa...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G01N1/10G01N33/18A01K63/04
CPCA01K63/042G01N1/10G01N33/18G01N33/1806
Inventor 顾晓东朱金良
Owner 东营市惠泽农业科技有限公司
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