基于水产物联服务平台的智能增氧控制系统的开发

传统的水产养殖增氧方式已不能满足现代化与智能化养殖的需求,且现有的自动增氧系统控制方式过于简单,灵活性较差。为此,开发了一种基于水产物联服务平台的智能增氧控制系统。该系统以水产物联服务平台为云端数据服务器,以西门子PLC作为现场智能控制节点,其中智能控制节点通过GPRS通信方式与水产物联服务系统连接;系统使用光学溶解氧传感器进行水质数据的采集,并采用Zig Bee无线组网技术将数据传输给控制器;控制器利用溶解氧状态判定机制,根据控制参数将池塘溶解氧划分为5个状态,并输出相应的控制策略。结果表明,该系统运行稳定,系统通信与数据传输通畅,监测数据更新及时,能够根据设定的控制参数,智能地判定池塘溶解氧状态并触发系统调水机制或增氧机制。系统达到智能控制系统设计要求,稳定高效的控制效果降低了养殖风险,提高生产效益,具有广泛推广应用价值。

Development of intelligent aeration control system based on internet of things services platform

Traditional methods of aeration cannot meet the needs of modern and intelligent aquaculture with the advance of technology. Control strategies in existing automatic aeration systems are not smart enough to react to the changes in dissolved oxygen. The development of this intelligent aeration control system was to solve above problems. Programmable logic controller (PLC) was used as the central progressing unit (CPU) in intelligent aeration control system which was based on the Internet of Things services platform. PLC was connected to the Internet by GPRS modem to communicate with the server and exchange data with the database. Optical dissolved oxygen sensors were adjusted to the system to monitor water quality and collect data. The wireless sensor network, which was based on ZigBee technology, was to transmit data in the intelligent system. Coordinator was installed beside the PLC to coordinate other devices in the pond. The wireless sensor network was powered by solar cells which were mounted on the float bowls. Being dependent on the control parameters, the controller used dissolved oxygen status determination mechanism to divide dissolved oxygen into five states, and outputting a corresponding control strategy. The results show that the intelligent control system can run stably under a long term operation test. Communication and data transmission between controller and server or devices were unobstructed, timely and reliable. The control system can determine the status of the pond dissolved oxygen based on the settings of the control parameter, and trigger the system mechanisms for water diversion or aeration intelligently. Design of intelligent aeration control system achieves the requirements for ponds aquaculture because of stable and efficient control effect. Risks of the fish-farming under the management of intelligent aeration control system can be reduced and production efficiency was improved. The system can be unattended and would be more efficient and popular when it is utilized widely in aquaculture.