Intelligent pig raising management system and method based on cloud side-end cooperation

Abstract

The invention provides an intelligent pig raising management system and method based on cloud side end collaboration, and the system comprises a field-level end computing terminal which is used for collecting local data and carrying out the real-time processing; a farm-level edge computing terminal connected with the field-level end computing terminal, deployed in a farm central machine room, and used for managing the business of the farm and computing the data of the farm; and a central cloud computing platform connected with the farm-level edge computing terminal and used for processing the data of the farm. A cloud side-end three-level management system is realized, three levels are linked and operate independently, overall deployment can be performed by a large-scale breeding group, decoupling deployment can be performed by different professional enterprises in a grading manner, the professionality of intelligent breeding is guaranteed, and the flexibility of the management system is also realized; the input cost of external network connection of the farm is saved, the time delay of business processing is reduced, and the data security is guaranteed; and the efficiency and timeliness of the intelligent pig raising management system are improved.

Description

technical field [0001] The invention relates to the fields of cloud computing and edge computing, in particular to a smart pig raising management system and method based on cloud-edge-end collaboration. Background technique [0002] There are two technical ways to realize the current intelligent pig raising management system. One is the local calculation method, that is, all the environmental data and livestock data of the farm are analyzed and processed by the local system, which is limited by the processing of the local server. It cannot perform large-scale data processing, nor can it update the real-time breeding data model. It can only rely on the existing breeding data model of the current system for management. The second method is the central cloud computing method. All the environmental data and livestock data of the farm need to be transmitted to the central cloud computing platform for analysis and processing. The disadvantage is that because there is a large amoun...

AI Technical Summary

Problems solved by technology

[0002] There are two technical ways to realize the current intelligent pig raising management system. One is the local calculation method, that is, all the environmental data and livestock data of the farm are analyzed and processed by the local system, which is limited by the processing of the local server. It cannot perform large-scale data processing, nor can it update the real-time breeding data model, so it can only rely on the existing breeding data model of the current system for management

The second method is the central cloud computing method. All the environmental data and livestock data of the farm need to be transmitted to the central cloud computing platform for analysis and processing. The disadvantage is that because there is a large amount of data and video to be transmitted, the farm needs to install high-speed dedicated line access The central cloud has relatively high investment costs. In addition, all operational data is transmitted to the central cloud, which is prone to data leakage, and data confidentiality cannot be guaranteed.

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