Field environment spatio-temporal information monitoring system and method based on Beidou

Abstract

The invention relates to a field environment spatio-temporal information monitoring system and method based on Beidou. The system comprises an environment information acquisition module, an information processing and transmission module and a field big data monitoring and early warning module, wherein the environment information acquisition module comprises a meteorological sensor, a soil sensor, an underground water level sensor and a video monitoring terminal; the information processing and transmission module comprises a signal conversion circuit, a microprocessor, a Beidou positioning module and a Beidou communication module; and the field big data monitoring and early warning module comprises upper computer software, a database, a video information monitoring platform and a field big data monitoring and early warning platform. On the basis of realizing an environment information acquisition function, time-space information such as site time and position is acquired through Beidou positioning, the environment information and the time-space information are deeply fused, the environment time-space information is transmitted to a field big data monitoring and early warning platform through Beidou communication, and real-time monitoring and early warning of a specific field environment are realized.

Description

technical field [0001] The present invention relates to the field of agricultural internet of things, agricultural big data and Beidou application, and specifically refers to a Beidou-based field environment spatio-temporal information monitoring system and method. Background technique [0002] In the field of agricultural production, environmental variables such as soil temperature, soil humidity, light intensity, wind speed, and rainfall in the field have a huge impact on the yield and quality of crops. The extensive management mode of traditional agriculture can no longer adapt to precision planting in modern agriculture. In order to transform from traditional agriculture to modern agriculture and realize the refined management of agricultural production, it is necessary to use Internet of Things technology to realize real-time monitoring and intelligent management of farmland environmental data, so as to effectively improve agricultural production efficiency and managemen...

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Problems solved by technology

[0002] In the field of agricultural production, environmental variables such as soil temperature, soil humidity, light intensity, wind speed, and rainfall in the field have a huge impact on the yield and quality of crops. The extensive management mode of traditional agriculture can no longer adapt to precision planting in modern agriculture. In order to transform from traditional agriculture to modern agriculture and realize the refined management of agricultural production, it is necessary to use Internet of Things technology to realize real-time monitoring and intelligent management of farmland environmental data, so as to effectively improve agricultural production efficiency and management level

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