Drools rule engine-based internet-of-things management and control system and method for group-breeding sow feeding station

Abstract

The invention discloses a Drools rule engine-based internet-of-things management and control system and method for a group-breeding sow feeding station. The system comprises terminal monitoring equipment, a network communication layer and an application layer. The terminal monitoring equipment consists of an information acquisition and control module, realizes acquisition of data such as ear tags,weights and feed weights of the sows, and controls the discharging device and the automatic door; the network communication layer comprises a LoRa aggregation node and a GPRS module, and is used foraggregating the acquired data of each terminal node and uploading the acquired data to the cloud server; the application layer adopts a C / S architecture, an upper computer acquires sow identity and environment information in real time, an optimal decision amount is deduced by using a Rete matching algorithm of a Drools rule engine, and a result is sent to a lower computer. And the feeding rule base, the sow fact base and the related feeding information are stored in a MySQL database. Queuing feeding of the group breeding sows can be achieved, the optimal feeding amount is obtained through theexpert system, accurate discharging is achieved, the reasoning efficiency of the expert system is optimized through the Rete matching algorithm, and the reliability of the system is improved.

Description

technical field [0001] The present invention relates to the technical field of agricultural Internet of Things intelligent control and the application field of agricultural expert systems, in particular to an expert system that uses Internet of Things technology to obtain sow identity information, environmental information, and remote control of feeding in real time, combined with an expert system based on the Drools rule engine. A method to achieve precise feeding of optimal ration amounts for sows. Background technique [0002] China is a large agricultural country. The scale of animal husbandry, such as pig breeding, continues to expand, and the number of breeding continues to rise, and it has long been in the leading position in the world. Global pork consumption has grown steadily in the past three years and is expected to reach 120 million tons in 2022. Driven by the huge demand, especially in China, which has a huge pork market, the hog breeding industry is bound to ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the special situation of the current domestic pig breeding industry, the present invention finely divides the identity information category and environmental information category of sows according to the breeding rules in order to alleviate the problems of sudden decrease in the number of live pigs, poor reproductive performance of sows, and low feeding efficiency of pig farms , using the expert system to make scientific decisions on the amount of sow rations to feed, and improve the reliability and operating efficiency of the expert system, a Drools rule engine-based Internet of Things management and control system and method for group sow feeding stations

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