Pig drinking water detection imaging method based on BIM and artificial intelligence

A technology of artificial intelligence and imaging method, which is applied in the direction of character and pattern recognition, instruments, computer parts, etc., can solve the problem of not being able to intelligently, efficiently and accurately obtain the cleanliness of pig drinking fountains, the quality of pig drinking water cannot be guaranteed, and the To achieve the effect of reducing the workload of labeling, saving manpower, and strong representation ability

Inactive Publication Date: 2020-11-13
成佃丰
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in actual use, on the one hand, the feed on the mouth may stick to the drinking fountain, and on the other hand, other floating objects fall into the bowl, which will cause pig drinking water pollution
If the drinking fountains are not cleaned for a long time, the drinking water quality of the pigs cannot be guaranteed, which will directly affect the health of the pigs
Although the farm administrator will regularly inspect the pigsty and the feed trough drinking bowl to clean, but if the adhesion is thick, if it is not cleaned for a long time or the cleaning is not in place, the administrator cannot find it in time, and the cleaning effect will still not be achieved. Corrosion and deterioration, thus affecting the quality of drinking water
Therefore, in the field of pig drinking water detection in farms, there is a problem that the cleanliness of pig drinking fountains cannot be obtained intelligently, efficiently and accurately

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
  • Pig drinking water detection imaging method based on BIM and artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Pig drinking water detection imaging method based on BIM and artificial intelligence:

[0044] Step 1: Build the BIM (Building Information Modeling) and its information exchange module for the current pig house area.

[0045] Pig house area BIM and its information exchange module is a BIM-based information processing and data exchange platform. The pig house area BIM includes the geographic location information of the pig house area, the fence information of the pig house area, the aisle information of the pig house area, the water dispenser information of the pig house, and other information required for the BIM three-dimensional space model modeling of the pig house area. The BIM of the pig house area also includes the image sensor model, resolution, quantity and their respective numbers in the pig house used in the current area.

[0046] The BIM in the pig house area can receive the data sensed by all sensors in the current area through the information exchange modu...

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 a pig drinking water detection imaging method based on BIM and artificial intelligence, and the method comprises the steps: carrying out the automatic marking of a pig house sample image set, and training a drinker target detection network; splicing and fusing the pig house images to obtain a pig house panoramic image; carrying out drinker detection on the hog house panoramic image; carrying out dirt detection on the detected water dispenser; carrying out heat map superposition on the dirty thermodynamic diagrams for a period of time; inputting the superposition resultinto a waterer dirt analysis network to obtain a waterer dirt grade, and generating a cleaning signal; visualizing various kinds of information in the pig house building information model. According to the method disclosed in the invention, automatic and intelligent hog house drinker cleaning condition monitoring is realized, the detection efficiency is high, the detection accuracy is high, the result is more real-time and objective, and hog house management is facilitated.

Description

technical field [0001] The invention belongs to the technical fields of artificial intelligence, BIM, and intelligent breeding, and specifically relates to a method for detecting and imaging swine drinking water based on BIM and artificial intelligence. Background technique [0002] In large-scale farms, it is necessary to scientifically and effectively monitor the growth environment of live pigs in real time. In the farm, automatic drinking fountains include common drinking bowls, which are essential equipment for pig farms and reduce the amount of sewage discharged from the farm. However, in actual use, on the one hand, the feed on the mouth may stick to the drinking fountain, and on the other hand, other floating objects fall into the bowl, which will cause pig drinking water pollution. If the drinking fountains are not cleaned for a long time, the drinking water quality of the pigs cannot be guaranteed, which will directly affect the health of the pigs. Although the 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 Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/34G06K9/46G06K9/62
CPCG06V20/00G06V10/25G06V10/267G06V10/40G06V2201/07G06F18/25
Inventor 成佃丰高海霞尹家珍郭兆卫张晓光武爱平韩立红张昆廖晓君赵月兵
Owner 成佃丰
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