基于 5G 网络的设备大数据传输负载优化算法

吉林大学学报(信息科学版) ›› 2025, Vol. 43 ›› Issue (2): 445-450.

基于 5G 网络的设备大数据传输负载优化算法

李民¹, 陈普建², 陈秀云³, 贺佳彦⁴

1. 南通市第一人民医院信息处, 江苏南通 226014; 2. 南通市急救中心主任室, 江苏南通 226001;3. 南通大学附属南通附属妇幼保健院消毒供应室, 江苏南通 226001; 4. 南通大学附属医院医学装备处, 江苏南通 226001

收稿日期:2024-03-21 出版日期:2025-04-08 发布日期:2025-04-10
通讯作者: 陈秀云(1982— ), 女, 江苏南通人, 南通大学附属南通妇幼保健院副主任护师,主要从事妇科护理, 消毒供应研究, (Tel)86-13962954655(E-mail)chenxy1982@ 163. com。 E-mail:chenxy1982@ 163. com。
作者简介:李民(1977— ), 男, 江苏南通人, 南通市第一人民医院高级工程师, 主要从事网络通信研究, ( Tel) 86-13507247784(E-mail)limin77@ 126. com
基金资助:
工业和信息化部办公厅国家卫生健康委员会办公厅 5G+医疗健康应用试点基金资助项目(20245GYLJK04012)

Transmission Load Optimization Algorithm of Equipment Big Data Based on 5G Network

LI Min¹, CHEN Pujian², CHEN Xiuyun³, HE Jiayan⁴

1. Information Desk, Nantong First People’s Hospital, Nantong 226014, China;2. Director‘s Office, Nantong Emergency Center, Nantong 226001, China; 3. Disinfection Supply Room,Nantong University Affiliated Maternal and Child Health Hospital, Nantong 226001, China;4. Medical Equipment Department, Affiliated Hospital of Nantong University, Nantong 226001, China

Received:2024-03-21 Online:2025-04-08 Published:2025-04-10

摘要/Abstract

摘要： 为确保大数据稳定传输, 提出基于 5G 网络的设备大数据传输负载优化算法。分析大数据传输性能影响因素, 包括数据时延、平均带宽利用率和吞吐量。采用形态学滤波算法对大数据进行低通滤波处理, 消除数据中存在的噪声, 降低数据传输时延。动态选择大数据传输信道, 避免网络中出现数据拥塞现象, 提高网络吞吐量。在信息传输矩阵映射的基础上提高数据传输精度, 同时设计了容量扩充机制, 以此提高网络带宽利用率,完成负载优化。实验结果表明, 采用所提算法优化后, 提高了带宽利用率, 降低了网络能耗和数据传输时延。

关键词: 5G 网络, 形态学滤波, 设备大数据, 容量扩充机制, 传输负载优化

Abstract: To ensure stable transmission of big data, a device big data transmission load optimization algorithm based on 5G network is proposed. The factors that affect the performance of big data transmission are analyzed,including data latency, average stream bandwidth utilization, and throughput. Morphological filtering algorithms are used to perform low-pass filtering on big data, eliminating noise in the data and reducing data transmission delay. Dynamically big data transmission channels are selected to avoid data congestion in the network and improve network throughput. On the basis of information transmission matrix mapping, data transmission accuracy is improved, and a capacity expansion mechanism is designed to improve network bandwidth utilization
and complete load optimization. The experimental results show that after optimization using the proposed algorithm, the bandwidth utilization rate is improved, and the network energy consumption and data transmission delay are reduced.

Key words: 5G network, morphological filtering, equipment big data, capacity expansion mechanism, transmission load optimization

中图分类号:

TP393

李民, 陈普建, 陈秀云, 贺佳彦. 基于 5G 网络的设备大数据传输负载优化算法 [J]. 吉林大学学报(信息科学版), 2025, 43(2): 445-450.

LI Min, CHEN Pujian, CHEN Xiuyun, HE Jiayan. Transmission Load Optimization Algorithm of Equipment Big Data Based on 5G Network[J]. Journal of Jilin University (Information Science Edition), 2025, 43(2): 445-450.