Visual monitoring traceability system and method for animal husbandry products

Abstract

The invention discloses a visual monitoring traceability system for animal husbandry products. The system comprises a production information acquisition subsystem, a video information acquisition subsystem, a control subsystem and a query traceability subsystem, wherein the production information acquisition subsystem is used for collecting whole course raising information in livestock production so as to transmit the raising information to a cloud server; the video information acquisition subsystem is used for collecting video information of livestock activities, breeding environments and production work details; production information collected by the production information acquisition subsystem is transmitted to the cloud server through the control subsystem, and information of a breeding factory is transmitted to a handheld data manager and / or a feeding trolley which is connected with the control subsystem through the control subsystem; the query traceability subsystem can obtain the corresponding whole course raising information and the video information by querying the cloud server, and safe visual monitoring traceability is achieved. The invention further discloses a visual monitoring traceability method for the animal husbandry products. According to the system and method, visual monitoring traceability of livestock products can be achieved, and the problems that information is simple, one-sided and prone to disorder and one-to-one correspondence visual traceability is hard to achieve in an existing traceability system are solved.

Description

Technical field [0001] The invention belongs to the technical field of monitoring and traceability of livestock breeding, and specifically relates to a system and method for visual monitoring and traceability of livestock products. Background technique [0002] With the improvement of living standards, people's demand for protein is getting higher and higher, and the requirements for food quality are getting higher and higher. The main source of protein is meat, but in recent years, my country’s food safety issues have attracted attention. Incidents such as feeding clenbuterol to livestock, abuse of antibiotics and drugs, and influx of sick and dead livestock into the market are not uncommon. This not only casts a psychological shadow on the majority of consumers, but also brings severe challenges to my country's food safety management. The reason is that my country's food safety supervision system is not sound. The lack of a complete food traceability system is an important re...

AI Technical Summary

Problems solved by technology

[0004] However, further studies have shown that the above-mentioned existing technologies still have the following defects or deficiencies: first, the storage capacity of the corresponding livestock individual information in the RFID tag is small, often only including a small amount of information such as simple body weight, animal age, growth process, etc. It cannot fully reflect the comprehensive information on livestock breeding, growth environment and disease prevention and control, which is often the information that consumers are most concerned about

Secondly, the traceability ear tag will be damaged or fall off during the production process. After the ear tag is reinstalled, it is easy to cause information loss or confusion

What's worse is that driven by profit, there may be a problem of artificial replacement of ear tags that leads to information distortion

Third, the individual information of livestock is not intuitive, and there is no one-to-one visual environment. Although there are currently some farms that adopt livestock free-range or feed green feed to promote the quality of meat, install cameras on the farm and show the video to consumers. The technical solution discloses that, however, any individual livestock can move around at will, and it is difficult for consumers to identify and track specific individual livestock, and it is impossible to be sure that the meat purchased on the market is the meat of the livestock observed in the video, which is not a traceable Visualization, and this method is often only a fragmented individual display, unable to present the one-to-one corresponding traceability visualization of the whole process of livestock feeding

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