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基于云计算的船舶冷却泵变频智能控制技术
Intelligent control technology of marine cooling pump frequency conversion under cloud computing technology
- DOI:
- 作者:
- 舒奕杨, 岳伟挺
SHU Yi-yang, YUE Wei-ting
- 作者单位:
- 杭州电子科技大学 信息工程学院, 浙江 杭州 311305
School of Information Engineering, Hangzhou Dianzi University, Hangzhou 311305, China
- 关键词:
- 云计算;船舶;冷却泵;变频;智能控制技术;任务调度算法
cloud computing; ship; cooling pump; frequency conversion; intelligent control technology; task scheduling algorithm
- 摘要:
- 研究基于云计算的船舶冷却泵变频智能控制技术，解决船舶航行过程中冷却泵产能过剩的问题。选取PLC控制芯片控制数据采集模块，利用温度传感器，采集冷却泵进水口与出水口的水温，将所采集温度结果通过串口通信协议，传送至云计算平台；云计算平台的云端服务器接收用户上传的冷却泵温度数据后，依据资源分配的任务调度算法，为用户分配最佳的云计算资源，变频控制模块依据冷却泵温度采集结果，通过PID控制器实现船舶冷却泵的变频智能控制。实验结果表明，该技术可以实现冷却泵的变频智能控制，不同工况下冷却泵的热负荷降低幅度较大，节能效果明显。
The frequency conversion intelligent control technology of marine cooling pump based on cloud computing technology is studied to solve the problem of excess capacity of cooling pump during ship sailing. The PLC control chip is selected to control the data acquisition module, and the temperature sensor is used to collect the water temperature of the inlet and outlet of the cooling pump. The collected temperature results are sent to the cloud computing platform through the serial communication protocol. After receiving the temperature data of the cooling pump uploaded by the user, the cloud server of the cloud computing platform allocates the best cloud computing resources to the user according to the task scheduling algorithm of resource allocation. The frequency conversion control module realizes the frequency conversion intelligent control of the marine cooling pump according to the temperature acquisition results of the cooling pump through the PID controller. The experimental results show that the technology can realize the inverter intelligent control of the cooling pump, the heat load of the cooling pump under different working conditions is reduced greatly, and the energy saving effect is obvious.
2023,45(6): 125-128 收稿日期：2022-09-28
DOI：10.3404/j.issn.1672-7649.2023.06.023
分类号：U664
作者简介：舒奕杨(2001-)，男，本科，研究方向为智能控制技术
