Breeding house BIM real-time imaging method based on artificial intelligence and hybrid cloud reasoning

Abstract

The invention discloses a breeding house BIM real-time imaging method based on artificial intelligence and hybrid cloud reasoning. The method comprises the steps that a breeding house image collectedby a camera in real time serves as to-be-analyzed data; dividing a neural network reasoning task corresponding to the request, allocating the neural network reasoning task to a plurality of differenthybrid cloud nodes, and configuring a block chain private chain; executing neural network hybrid cloud reasoning, and outputting a cultivation house pollution source segmentation map; the breeding house temperature and humidity detection module, the ammonia gas concentration detection module, the carbon dioxide concentration detection module, the illumination detection module and the harmful gas detection module respectively obtain corresponding detection data for standard judgment; splicing the breeding house image and the pollution source segmentation map, and projecting the spliced images to a breeding house building information model; visual display. By means of the method, the automation performance of breeding house environment monitoring is improved, panoramic breeding house imagesare provided for convenient supervision, the design model information integration capacity is high, and the privacy protection performance in the data transmission processing process is good.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence, intelligent animal husbandry, BIM, and blockchain, and in particular to a BIM real-time imaging method for breeding houses based on artificial intelligence and hybrid cloud reasoning. Background technique [0002] Since the late 1980s, my country's livestock and poultry breeding industry has developed rapidly, and the breeding scale, breeding methods and distribution areas of the livestock and poultry breeding industry have undergone tremendous changes. Traditional breeding methods and empirical methods are no longer suitable for the current industry development. The livestock and poultry breeding industry urgently needs to rely on cutting-edge scientific and technological means to establish its digital, refined and intelligent industrial breeding management model. [0003] In breeding production, the environmental factors of breeding houses have not been valued by the majority o...

AI Technical Summary

Problems solved by technology

The problem with the existing video surveillance technology is that it needs to be identified manually, lacks automatic analysis functions, and the surveillance camera can only see a local area

On the other hand, sensor monitoring data is scattered and there is a lack of integration methods

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