Spring silkworm breeding environment monitoring system based on artificial intelligence

Abstract

The invention discloses a spring silkworm breeding environment monitoring system based on artificial intelligence, which includes a power supply module, an intelligent temperature control unit, an intelligent humidity control unit, a network communication module and a remote mobile terminal. The power input terminals of the unit and the intelligent humidity control unit are connected, and both the intelligent temperature control unit and the intelligent humidity control unit are connected to the remote mobile terminal with two-way signals through the network communication module. The artificial intelligence-based spring silkworm breeding environment monitoring system automatically completes on-site alarm and remote alarm when the ambient temperature in the sericulture greenhouse is not within the temperature qualified range, so that the on-site and off-site management personnel can know in time whether the ambient temperature in the greenhouse is abnormal. Qualified situation, so as to facilitate the management personnel to take relevant measures to remedy in a timely manner.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence systems, in particular to an artificial intelligence-based spring silkworm breeding environment monitoring system. Background technique [0002] Artificial intelligence is an extremely challenging science, and those who do it must understand computing, psychology, and philosophy. Artificial intelligence is a very broad science, which consists of different fields, such as machine learning, computer vision, etc. Generally speaking, one of the main goals of artificial intelligence research is to enable machines to perform tasks that usually require human intelligence. Complicated work. However, different times and different people have different understandings of this "complex work", which can be applied to the spring silkworm breeding environment monitoring system. [0003] However, the traditional spring silkworm breeding environment monitoring system cannot automatically complete...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a spring silkworm breeding environment monitoring system based on artificial intelligence, to solve the traditional spring silkworm breeding environment monitoring system proposed in the above background technology, when the ambient temperature in the silkworm greenhouse is not in the temperature qualified range, it cannot automatically Complete the work of on-site alarm and remote alarm; secondly, the traditional spring silkworm breeding environment monitoring system cannot take corresponding measures when the ambient humidity in the silkworm greenhouse is too low or too high, and cannot keep the silkworm room moist. Difficulty molting and semi-molting problems

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