A farmland intelligent monitoring control system based on Internet of Things high-definition camera shooting integrated gateways

Abstract

The invention discloses a farmland intelligent monitoring control system based on Internet of Things high-definition camera shooting integrated gateways. The farmland intelligent monitoring control system comprises multiple groups of Internet of Things high-definition camera shooting integrated gateways, multiple groups of data acquiring modules, multiple groups of electrical control modules, and a total control table. The data acquiring module comprise a temperature sensor, a humidity sensor, a wind speed sensor, a PH value sensor, an illumination sensor, and a PH2.5 tester. The electrical control module comprises a fireproof safety alarm, a temperature controller, a humidity controller. The Internet of Things high-definition camera shooting integrated gateway comprises a processor and a high-definition camera. The total control table is a computer. The farmland intelligent monitoring control system may effectively detect various data of agricultural products in growth processes, the data including illumination, temperature, humidity, wind speed, soil acility and alkalinity, and soil water content or the like, and pertinently adjusts the agricultural products with a microprocessor according to the various data in order to maximize and optimize production effect.

Description

technical field [0001] The invention relates to an elevator safety monitoring subsystem, in particular to an intelligent farmland monitoring and control system based on an Internet of Things high-definition camera integration gateway, belonging to the field of intelligent monitoring and control. Background technique [0002] In recent years, environmental factors such as temperature, humidity, light intensity, and carbon dioxide concentration in the growing environment of crops have a great influence on the growth of crops. And as the PM2.5 index in the atmosphere continues to rise, it affects the climate and causes air pollution to be more harmful to crops. The traditional manual control method is difficult to meet the requirements of scientific and reasonable planting, and the current domestic crop production system is basically difficult to achieve the above functions. [0003] At present, due to the poor economic conditions and harsh geographical environment in many are...

AI Technical Summary

Problems solved by technology

And as the PM2.5 index in the atmosphere continues to rise, it will affect the climate and cause air pollution to be more harmful to crops.

The traditional manual control method is difficult to meet the requirements of scientific and reasonable planting, and the current domestic crop production system is basically difficult to achieve the above functions

[0003] At present, due to the poor economic conditions and harsh geographical environment in many areas where farmland is planted in our country, and the level of modern management and automation control is not high, managers must work on site, and enterprises and greenhouse bases must be built together. The requirements are high and it is not convenient for professional technicians to monitor and manage the greenhouses in real time, thus increasing the construction and management costs, which is not conducive to the large-scale development of greenhouses. At the same time, it cannot satisfy consumers' real-time tracking, query and targeted Requirements for data collection and analysis by researchers in science and technology demonstration bases

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