一个安全的IIoT环境,集成人工智能驱动的实时短期主动和反应负载预测与异常检测:一个现实世界的应用程序.
Md Ibne Joha1, Md Minhazur Rahman1, Md Shahriar Nazim1
1Department of Electronics Engineering, Kookmin University, Seoul 02707, Republic of Korea.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
本研究介绍了一种安全的工业物联网 (IIoT) 框架,用于实时能量负载预测和异常检测. 该系统使用先进的AI模型,在工业环境中提高能源效率和运行可靠性.
科学领域:
- 能源系统工程 能源系统工程
- 人工智能的人工智能
- 网络安全 网络安全
背景情况:
- 工业物联网 (IIoT) 将人工智能驱动的分析与实时监控集成在一起,以优化能源使用和效率.
- 安全可靠的工业运营需要强大的数据采集,监控,控制和保护系统.
研究的目的:
- 提出一个安全的IIoT框架,能够同时进行主动和反应负载预测和异常检测.
- 优化框架,以便在边缘和云服务器上实时部署.
- 通过集成的智能系统,确保安全可靠的工业运营.
主要方法:
- 为预测主动和反应能量负载,开发了一种时间卷积网络门隔的反复单元注意力 (TCN-GRU-Attention) 模型.
- 为异常检测实施了优化的隔离森林模型,考虑到设备的短暂条件.
- 运输层安全 (TLS) 和安全插座层 (SSL) 协议,以及哈希编码的凭据,用于系统安全.
主要成果:
- TCN-GRU-Attention模型在负载预测方面取得了卓越的性能,平均平方误差 (MSE),平均绝对误差 (MAE) 和根平均平方误差 (RMSE) 较低.
- 隔离森林模型在异常检测方面表现出很高的性能,达到95%的精度,98%的回忆,96%的F1得分和近100%的准确性.
- 拟议的框架通过综合安全协议来确保安全可靠的工业运营.
结论:
- 开发的IIoT框架有效地预测能量负载,并实时检测异常.
- TCN-GRU-Attention和优化的隔离森林模型为各自的任务提供了卓越的性能.
- 综合安全措施提高了IIoT生态系统内的工业操作的可靠性和可信度.
相关概念视频
01:21Distributed Loads: Problem Solving
623
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
623
01:19Distributed Loads
509
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
509
01:28Load-frequency control
121
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
121
01:25Multimachine Stability
141
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
141
01:25Distribution Reliability and Automation
105
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
105
01:23Maximum Power Flow and Line Loadability
94
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
94