【标题】Advanced Pump Monitoring With Industrial IoT
【参考中译】利用工业物联网进行高级泵监控
【类型】 期刊
【作者】 JON BERNIE
【摘要】 Exploring the effectiveness of IIoT-based condition monitoring with two case studies. Industrial pumps are the backbone of countless operations across various industries. They are essential in processes requiring fluid movement, including water treatment, chemical processing, oil and gas extraction and pharmaceutical manufacturing. Pumps ensure the efficient and reliable transfer of liquids, making them indispensable in maintaining operational continuity and productivity.
【参考中译】 通过两个案例研究探索基于IIoT的条件监测的有效性。工业泵是各个行业无数运营的支柱。它们在需要流体运动的过程中至关重要，包括水处理、化学加工、石油和天然气开采以及制药制造。泵确保液体的高效可靠传输，使其在保持操作连续性和生产力方面不可或缺。
【来源】 Pumps & Systems 2024, vol.32, no.9
【入库时间】 2025/1/24
【标题】An Energy Efficient IPv6 Packet Delivery Outline for Industrial IoT Over G.9959 Protocol Based Wireless Sensor Network (WSN)
【参考中译】基于G.9959协议的无线传感器网络（NSO）的工业物联网节能IPv6数据包交付大纲
【关键词】 IIoT; WSN; G.9959; IPv6; OPD
【参考中译】 IIoT; NSO; G.9959; IPv6; OPD
【作者】 R. S. Veena; Geetanjli Khambra; Rishi Sayal; Nagendra Singh; V. Bala Dhandayuthapani; Sumit Kumar Sar
【摘要】 The world is witnessing a significant paradigm shift in the delivery and management of industrial services, driven by the need for automated manufacturing in industries such as mining. This transformation is pivotal as it leverages the Internet to interconnect people and devices, giving rise to a new field known as the Industrial Internet of Things (IIoT). IIoT represents the fusion of IoT's computational capabilities with the principles of the industrial revolution, facilitating extensive scalability through the transition from IPv4 to IPv6. A crucial challenge within IIoT is the battery life of sensor nodes, which is directly influenced by the efficiency of their operating modules and protocols. Various protocols have been tested within IIoT-based Wireless Sensor Networks (WSNs) to address this issue. However, these protocols often fall short in terms of data rate performance, which is essential for supporting the diverse range of IIoT applications and services. This manuscript investigates the IPv6 packet delivery rate, focusing on energy efficiency and delay. The research identifies the G.9959 protocol as superior to IEEE 802.15.4 for IIoT adoption. Additionally, it examines the impact of bandwidth variation on energy efficiency. Through comprehensive simulations, the proposed scheme demonstrates superior performance compared to existing protocols, highlighting its potential for enhancing IIoT applications.
【参考中译】 在矿业等行业对自动化制造的需求推动下，世界正在见证工业服务交付和管理的重大范式转变。这种转变至关重要，因为它利用互联网将人和设备互联起来，催生了一个被称为工业物联网(IIoT)的新领域。IIoT代表着物联网S计算能力与工业革命原则的融合，通过从IPV4到IPV6的过渡促进了广泛的可扩展性。IIoT中的一个关键挑战是传感器节点的电池寿命，这直接受到其操作模块和协议的效率的影响。为了解决这个问题，已经在基于IIoT的无线传感器网络(WSN)中测试了各种协议。然而，这些协议往往在数据速率性能方面达不到要求，而数据速率性能对于支持各种IIoT应用和服务来说是必不可少的。本文调查了IPv6数据包传递速率，重点研究了能效和延迟。研究发现，在采用IIoT方面，G.9959协议优于IEEE 802.15.4。此外，还研究了带宽变化对能效的影响。通过综合仿真，该方案表现出了优于现有协议的性能，突出了其在增强IIoT应用方面的潜力。
【来源】 SN Computer Science 2024, vol.5, no.7
【标题】A hybrid intrusion detection approach based on message queuing telemetry transport (MQTT) protocol in industrial internet of things
【参考中译】工业物联网中基于消息队列遥感传输（MQTT）协议的混合入侵检测方法
【作者】 Georg Thamer Francis; Alireza Souri; Nihat Inanc
【摘要】 The number of attacks against Industrial Internet of Things (IIoT) devices has increased over the past years, particularly on widely used communication protocols like Message Queuing Telemetry Transfer (MQTT). The fast increase in IIoT applications brings both critical challenges and technical gaps in cyberse-curity. On the other hand, traditional cyber-attack detection approaches scrap to address and support the run-time responsibilities of IIoT environments. This study presents a hybrid Genetic Algorithm and Random Forest (GA_RF) method for detecting cyber-attacks in Industrial Control Machines (ICS) that use MQTT protocol in the IIoT environment. This architecture integrates ICS with edge devices and cloud servers, using a GA_RF algorithm to detect anomalies in data collected by sensors. Normal data is processed locally and then sent to the cloud for storage and return, ensuring continuous monitoring and security. Also, the MQTT-IOT-IDS2020 dataset as a real test case was applied for prediction of the proposed GA_RF method with compare to some other powerful machine and deep learning models. The experimental results show that the proposed GA_RF method has an optimum accuracy of 99.87%-100% for detecting cyber-attacks. This hybrid algorithm also achieved 0-0.0015 in Mean Absolute Error (MAE) and 100% in Precision, Recall, and F-score factors. This result led to the proposed architecture, which connects the ICS to a server while running GA_RF on the IIoT environment. In conclusion, this study indicates the effectiveness of GA_RF and aims to improve security by using the MQTT protocol in IIoT.
【参考中译】 针对工业物联网(IIoT)设备的攻击数量在过去几年中有所增加，特别是针对广泛使用的通信协议，如消息队列遥测传输(MQTT)。IIoT应用的快速增长既带来了网络安全方面的关键挑战，也带来了技术差距。另一方面，传统的网络攻击检测方法无法解决和支持IIoT环境的运行时责任。针对IIoT环境下使用MQTT协议的工业控制机，提出了一种混合遗传算法和随机森林算法(GA_RF)检测网络攻击的方法。该架构将ICS与边缘设备和云服务器集成在一起，使用GA_RF算法来检测传感器收集的数据中的异常。正常数据在本地处理，然后发送到云上存储和返回，确保持续监控和安全。并用MQTT-IOT-IDS2020数据集作为真实测试用例对GA_RF方法进行了预测，并与其他一些强大的机器和深度学习模型进行了比较。实验结果表明，GA_RF方法检测网络攻击的最优准确率为99.87%~100%。该混合算法在平均绝对误差(MAE)和准确率、召回率和F-Score因子上也达到了0.0015-100%。这一结果导致了拟议的体系结构，该体系结构将ICS连接到服务器，同时在IIoT环境中运行GA_RF。总之，本研究表明了GA_RF协议的有效性，旨在通过在IIoT中使用MQTT协议来提高安全性。
【来源】 Transactions on Emerging Telecommunications Technologies 2024, vol.35, no.9