BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an integrated intelligent management system through big data and artificial intelligence machine learning. The present invention relates to an integrated management system for a poultry farm including a heat pump 10, a building farm 20, a heat carrier 30, a smart farm integration management server 40, an integrated control center 50, a worker terminal 60, The smart farm integrated management management server 40 includes a smart farm management server 40 and a smart farm management server 40. The smart farm management server 40 manages the intelligent farm management system A heat pump 10 for transferring temperature, flow rate, and pressure sensor data; A building aquaculture farm 20 for transmitting temperature, pH, dissolved oxygen (hereinafter, referred to as "DO") and flow sensor data to the smart farm integrated management automation management server 40; (30) for transmitting temperature, flow rate and pressure sensor data to the smart farm integration automated management server (40); And the data collection module 41 of the smart farm integrated management automation management server 40 drives the growth management software 43a as artificial intelligence software and provides each collected sensor data to the integrated control module 42 To provide a comprehensive control of the heat pump 10, the building farm 20 and the heat delivery device 30 to the remote integrated control center 50, the worker terminal 60 and the mobile device 70 . As a result, systematic information management, integrated control and growth (breeding) management for building farms with a large number of breeding tanks can be performed systematically and comprehensively by automated artificial intelligence formed by software (S / W) Lt; / RTI In addition, the trend of the water quality information of each water tank can be statistically analyzed, and it is possible to utilize the statistical information as feedback information to enable automatic growth (breeding) management. In addition to the integrated management of smart aquaculture integrated management, optimization of growth environment control and flow control (estimation of oxygen consumption rate (prediction of growth activities such as eating and sleeping conditions)), light control (Temperature and oxygen, CO2, DO, TGP, turbidity, etc.) can be achieved by automation of solid matter removal, water quality and water temperature control (LED illumination and color control for optimization of fish species growth environment). In addition, the sensor data, the integrated control details, the growth management details, the growth standard information, and the growth statistics are stored in the database 41i in real time, and the growth state and shipment state of the fish are stored in the machine learning program, It is possible to provide an integrated intelligent automation management system that creates an optimized environment.
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