液化天然气混合物规格的最佳控制:深度学习和PSO驱动的框架,以最大限度地减少非规格生产
Aygül Karimova1, Güzin Özdağoğlu2
1Chemical Engineer, Technical Services- Proses Optimization and Monitoring, SOCAR, Siteler, Aliağa, 35800 İzmir, Türkiye.
ACS omega
|April 28, 2025
概括
本研究介绍了一种两阶段的人工智能方法,以防止非规格的液化石油气 (LPG) 生产. 通过预测和优化运行参数,它可以最大限度地降低昂贵的产品降级和炼油厂的再加工.
科学领域:
- 石油精炼 石油精炼 石油精炼
- 化学工程是化学工程的重要组成部分.
- 人工智能的人工智能
背景情况:
- 准确的液化石油气 (LPG) 规格对于其各种应用至关重要.
- 生产单位运营的变化可能导致非规格液化天然气,造成重大经济损失.
- 目前的检测方法只有在产品大量混合后才会发现非规格问题.
研究的目的:
- 开发一个积极的系统,以减轻非规格液化天然气生产风险.
- 为了利用深度学习和优化技术来增强炼油厂运营.
- 为了减少经济损失,提高LPG制造的效率.
主要方法:
- 实施了一种两阶段的方法,将LSTM深度学习模型与粒子群优化相结合.
- 该LSTM模型使用历史数据预测混合中的产品规格.
- 粒子群优化可以确定生产单位中最佳可控制的操作参数.
主要成果:
- 综合模型为潜在的非规格LPG形成提供了早期警告.
- 优化的操作参数有效地减轻最终产品中的非规格风险.
- 该方法考虑了特定组件的变量影响,提高了精度.
结论:
- 拟议的人工智能驱动的框架大大降低了与非规格LPG相关的经济损失.
- 这种方法提高了生产效率,并最大限度地减少了用于质量控制的手工劳动.
- 该方法可适应类似的炼油工艺,具有广泛的适用性.
相关概念视频
Time-Domain Interpretation of PD Control
66
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
66
PD Controller: Design
140
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
140
PI Controller: Design
135
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
135
Control Systems
959
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
At the heart...
959
Time and frequency -Domain Interpretation of PI Control
85
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
85
Root-Locus Method
113
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
This system can be represented by a block...
113


