Agricultural condition monitoring system based on NB-IoT

Abstract

The present invention relates to the agriculture informatization technology field, especially to an agricultural condition monitoring system based on NB-IoT (Narrow Band Internet of Things). The system comprises a perception control layer, a transmission layer, a service layer and an application layer. The perception control layer comprises a field monitor, and the field monitor comprises a data monitoring module, a device control module, a communication module, a battery power supply module and a location module; the communication module comprises an NB-IoT unit connected with an NB-IoT network; the data monitoring module monitors the agricultural condition date and send the agricultural condition to the service layer through the NB-IoT unit; and the transmission layer comprises the NB-IoT network connected with the perception control layer and the service layer. The communication service module receives agricultural condition data and position data from the perception control layer and stores the agricultural condition data into a database through a data service module. The agricultural condition monitoring system based on the NB-IoT is low in power consumption, wide in coverage, low in cost and high in capacity, can solve the difficulty and deficiencies of a current agricultural condition monitoring system to provide good technical support for the development of the future agriculture internet of things and widen the application range.

Description

technical field [0001] The invention relates to the technical field of agricultural informatization, in particular to an agricultural condition monitoring system based on NB-IoT. Background technique [0002] Agriculture occupies an important position in China's national economy, and monitoring of agricultural conditions is an important basic work for realizing the efficient and sustainable development of agriculture. In recent years, with the development of electronic and communication technology, a new generation of information technology represented by the Internet of Things, cloud computing and big data is being continuously applied in various fields of agriculture to promote the pace of agricultural modernization. [0003] In order to ensure the implementation effect of the existing agricultural situation monitoring system, whether it is wired network communication or wireless network communication, the sensor equipment cannot use battery life to work. The construction...

AI Technical Summary

Problems solved by technology

No matter the system based on these current technical solutions uses a wired communication network, or Zigbee, 433MHz short-distance wireless, WiFi and other wireless LAN networking communication, to realize remote monitoring, it is also necessary to build optical fibers, computer rooms, switches, wireless hotspots, etc. on agricultural facilities. Communication infrastructure, high investment cost in the early stage and high maintenance cost in the later stage

If you use GPRS, 3G, 4G and other operator cellular networks, since these networks are designed based on mobile broadband applications, for the characteristics of narrowband data communication of sensor equipment for agricultural monitoring, not only the number of supported nodes is limited, but also the communication signaling Complicated, low network communication efficiency, high power consumption

In addition, for agricultural monitoring in soil, underwater, forest areas and other collection and application environments, the broadband cellular network coverage is weak, and the space application range is limited

[0004] In addition, in terms of system service mode, the existing agricultural monitoring system only stays in the mode of collecting data and manually viewing and analyzing (remote experts), and does not make full use of the current gradually mature cloud computing technology and big data analysis and processing technology. The level of analytical calculation is low

The software service method is also based on the traditional PC-side client software or the Web method. Due to the characteristics of the agricultural application environment, ordinary farmers and agricultural sites are not equipped with computers and network facilities, so the service arrival rate and efficiency are low. In the case of the basic popularity of smart phones, there is an urgent need to upgrade to mobile service methods

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