A cloud service-based agricultural intelligent optimization monitoring system and optimization monitoring method

Abstract

The invention discloses an agricultural intelligent optimization monitoring system based on cloud services. The system comprises a plurality of user units and a cloud computing center server. Each user unit comprises a sensor, a user side collector, a user side controller, a controlled device and a user terminal gateway, wherein the sensor is connected with the user side collector, the user side controller is connected with the controlled device, the user side collector and the user side controller are both in communication with the user terminal gateway, and the user terminal gateway is in communication with the cloud computing center server. The invention further discloses an agricultural intelligent optimization monitoring method. The method comprises the steps that a plurality of sets of environmental parameters are preset; a user acquires an optimal preset environmental parameter and controls the operating state of the controlled device; information of real-time environmental parameters is acquired, the controlled device is controlled, and the real-time environmental parameters are kept optimal. According to the agricultural intelligent optimization monitoring system and optimization monitoring method based on the cloud services, data sharing and optimized implementation can be achieved for users, agriculture is made to be refined, intelligentized and low in entry standard, and then fast development of agriculture is promoted.

Description

technical field [0001] The invention relates to an agricultural monitoring system and a monitoring method, in particular to an agricultural intelligent optimization monitoring system and an optimization monitoring method based on cloud services. Background technique [0002] In agricultural breeding and / or planting, due to differences in technical level and experience, the income status of each user varies greatly, especially when it comes to industries with high added value in the agricultural breeding and / or planting industry, such as the cultivation of medium and high-end economic crops Or rare / batch animal breeding, etc., due to the high economic value of products in this industry, they have relatively high requirements for experience and technology in planting and breeding, while most breeders and growers in the industry have high requirements for professional The lack of experience or the lack of professional technology has directly led to their low income or even loss...

AI Technical Summary

Problems solved by technology

However, these methods are not perfect in practical application. The first one only adjusts the growth environment of animals and plants based on weather conditions and experience. Because of the inability to quantify the specific data, and at the same time, due to manual operation, there are often people who forget to control or cannot control due to busy work. As a result, the plants cannot maintain the optimal growth environment, resulting in reduced yields, and the death of animals and plants may also be caused by the fact that the growth environment is too harsh but cannot be adjusted in time

Although the second type can easily realize environmental control, the parameters of these temperature and humidity ranges can only be formulated based on personal feelings or experience, and cannot be optimized in a true sense, and different monitoring schemes cannot be formulated according to different plants.

[0004] Therefore, traditional agriculture does not have a relatively complete monitoring system to complete the whole process monitoring and optimization system of breeding and / or planting, which seriously hinders the development of agriculture in the direction of intelligence, scale and refinement.

Images