摘要： 为研究微流水循环生态养蟹模式下河蟹养殖池塘的水温分布特性，设计了基于物联网云的多层水温实时监测系统，其多层水温感知终端采用6个温度传感器采集不同水层的水温并上传至物联网云平台，物联网云平台通过物模型的设计管理不同监测点及传感器的上传数据。经试验验证，结果显示：系统能实时、稳定地监测池塘各水层的水温值，监测频率为5 min/次；微流水使得高温时段池塘水温极值变小2°C，上下层水温差值减小2.5°C，能有效降低水温分层的风险；同时，微流水循环养殖可以有效提高池塘水温均衡度，微流水状态下全天均衡度平均值为0.893，较静水状态下的0.811提高了10.17%。验证了该系统的可行性及微流水循环养殖模式的有效性。

关键词: 河蟹生态养殖, 微流水, 水温监测, 物联网云, 多水层

Abstract:  In order to study the water temperature distribution characteristics of crab ponds under micro flow recirculating ecological culture mode, a multi-layer water temperature real-time monitoring system based on an IOT (Internet of things) cloud was  designed. Six temperature sensors are fixed to collect the water temperature of different layers and upload them to the IOT cloud platform, which is designed to manage the uploaded data from the different monitoring points and sensors. The  results of the experiment  that, the system can  monitor thewater temperature of different water layers in the pond in real time, at every 5 minutes intervals. The micro flow makes the extreme value of the water temperature 2 °C lower, and the temperature difference between the upper and lower layers is 2.5°C smaller, which can effectively reduce the risk of water temperature stratification. Meanwhile, the micro flow recirculating mode can effectively improve the pond water temperature balance level, resulting in an average value of water temperature balance of 0.893 for the whole day, which is 10.17% higher than that in the traditional mode (0.811). The experiment verified the feasibility of the system and the effectiveness of the micro flow recirculating culture mode.

Key words: Ecological crab culture mode, micro flow, water temperature monitoring, IOT cloud, multi-layer