Water environment monitoring system and method based on NB-IoT ((Narrow Band Internet of Things)

Abstract

The invention provides a water environment monitoring system based on NB-IoT ((Narrow Band Internet of Things). The system comprises a plurality of data acquisition nodes, an upper computer and an application server, wherein the data acquisition nodes, the upper computer and the application server are sequentially connected; the data acquisition nodes are distributed in different places of a waterregion; the water quality parameter data is collected; the collected parameter data is transmitted to the upper computer; the upper computer receives and stores the parameter data; a NB-IoT data platform is built; the application server and the NB-IoT data platform are in butt joint for displaying the parameter data. The water environment monitoring system provided by the invention has the advantages that the manual timing sampling is not needed; the cost is low; the collected data can be displayed and monitored in real time through the application server; the monitoring on the data such as water environment PH, temperature, salinity and oxygen content can be effectively realized.

Description

technical field [0001] The present invention relates to the technical field of monitoring, in particular to an NB-IoT-based water environment monitoring system and method. Background technique [0002] NB-IoT (Narrow Band Internet of Things, cellular-based narrowband Internet of Things) is an emerging technology in the IoT field. NB-IoT has the following characteristics: First, wide coverage, which will provide improved indoor coverage. Under the same frequency band, Compared with the existing network, NB-IoT has a gain of 20dB, which is equivalent to improving the coverage area by 100 times; second, it has the ability to support massive connections. One sector of NB-IoT can support 100,000 connections and support low-latency sensitivity , ultra-low equipment cost, low equipment power consumption and optimized network architecture; the third is lower power consumption, and the standby time of the NB-IoT terminal module can be as long as 10 years. [0003] In modern aquacult...

AI Technical Summary

Problems solved by technology

At present, some research institutions at home and abroad have begun to apply wireless sensor networks to the field of aquaculture, usually by combining parameter water quality sensors, wireless sensor networks and GPRS (General Packet Radio Service, general packet radio service technology) communication, but among them The GPRS communication module has high cost, large volume and power consumption, and the battery needs to be replaced frequently, and the GPRS signal is easily shielded by buildings. It can be positioned by the base station when there is basically no GPRS signal, but the positioning accuracy of the base station is low.

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