Automation in Petro-Chemical Industry

Research and Application of Concentration Measurement Technology for Carbon Fiber Recycling Liquid

2026, 62(1): 0-0.

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The study addresses the issue of online measurement of the concentration of recovery liquid in carbon fiber devices. A mathematical model is established using the least squares curve fitting method, with Python employed as the tool for model derivation. The conversion functions for solution density, temperature, and concentration are implemented through programming on the OMC platform.It has been suggested to use an efficient way to measure concentrations of online content.?

Research of longer transmission for instrument signal cables in petrochemical industries

2026, 62(1): 0-0.

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Abastract: Recently, so many large petrochemical industries had been installed and operated. More and more super huger field auxiliary room, which will connect many process unit’s signals, had been engineered, because of the limit of cost. Based on the character of instrument cable and the type of instrument signal, compared between intrinsic safety type signals and explosion type signals, this paper studied how to calculate the max length of instrument cable, and how to select instrument cable, so that can ensure the signal can be transferred normally.

Level Measurement Technology Optimization and Applicationof the Pressure Reducing Tower

2026, 62(1): 0-0.

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The atmospheric and vacuum distillation unit is the most upstream operating device in the petrochemical industry. The measurement of the liquid level at the bottom of the vacuum tower is crucial for the normal and stable operation of the atmospheric and vacuum distillation unit. This article explores various liquid level measurement techniques at the bottom of the vacuum tower, studies practical measurement difficulties and problems, finds the optimal measurement scheme, and verifies it through practical application.

Applied Research of Compound Flow Meter in Natural Gas measurement

2026, 62(1): 0-0.

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In order to further improve the accuracy of natural gas flow measurement, eliminate errors caused by long-running and aging of flow meters, and accelerate the promotion and application of domestically produced flow meters, a design scheme for a composite flow meters is proposed, which realizes natural gas flow calculation methods based on various principles such as differential pressure and velocity, reduces the procurement and maintenance costs of flow meters, and effectively ensures the safety and reliability of industrial control data.

Research of the integrated and intelligent control system of water electrolyzed for hydrogen production powered from wind power and Photovoltaic power

2026, 62(1): 0-0.

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wind and photovoltaic power, and then applying it to fields that continue to decarbonize like petrochemical and transportation etc industry, is an important pathway to achieving sustainable development. Utilizing the benefits of renewable energy such as wind and solar power, along with the process of electrolyzing water to produce hydrogen, an intelligent control system is developed to address the strongly coupled and complexly variable nature of green electricity-based hydrogen production processes. This system is designed to achieve decoupling of hydrogen production from wind and solar power and to address power balance issues, thereby enhancing the stability and reliability of the hydrogen production system; Providing a theory basis for the stable operation of renewable energy sources such as wind and solar power for hydrogen production projects through water electrolysis.

Modeling for the C3 hydrogenation process based on operating condition recognition

2026, 62(1): 0-0.

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The C3 hydrogenation process has a cascade reaction, and traditional manual control can easily lead to over-hydrogenation and under-hydrogenation, causing significant fluctuations in the outlet MAPD and affecting the selectivity and conversion rate of the catalyst. The C3 hydrogenation process has non-linear, delay, and multi-condition characteristics, making it difficult to model the C3 hydrogenation process using a linear model. This paper proposes a method for modeling the C3 hydrogenation process based on operating condition recognition and linear parameter-varying (LPV) models. First, long short-term memory (LSTM) are used to extract dynamic features from the C3 hydrogenation process data, and the K-Means algorithm is applied to recognize the operating conditions based on these dynamic features. Second, ARX (AutoRegressive with eXogenous input) models are employed to identify local linear models for each operating condition. Finally, the LPV model is obtained by weighting the local linear models, and the LPV model is used to approximate the C3 hydrogenation process, providing a foundation for the design of advanced controllers. Simulation results validate the accuracy of the LPV model in modeling the C3 hydrogenation process.

Research on DCS Inspection System Driven by KANO-TRIZ Dual Mode Driver

2026, 62(1): 0-0.

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This study proposes an interdisciplinary optimization method based on the KANO model and TRIZ theory to address the problem of "technology first, demand lagging" faced by DCS inspection systems in complex operation and maintenance scenarios in the petrochemical industry. Firstly, construct a specialized sensory vocabulary library for petrochemical DCS, and determine key sensory requirements through questionnaire surveys and KANO model analysis, such as categorizing "safety, stability" as essential attributes. Then, the TRIZ contradiction matrix is used to analyze the contradictions in the interface adaptability and operational economy of the inspection system, and solutions such as standardized interface reconstruction are proposed. The final established DCS inspection system achieved improved inspection efficiency through dynamic data holographic display and other methods. The single inspection time was reduced from 1.2 hours to 0.5 hours, and the equipment failure rate was significantly reduced. The fault diagnosis view achieved a fault localization accuracy of 98.5%, providing new ideas and methods for human factors engineering optimization in the process industry and having important reference value. Its potential applications in other fields can be further explored in the future.

Application and Control Strategy Discussion of Adsorption Separation in Ammonia Synthesis

2026, 62(1): 0-0.

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Green ammonia has gained widespread attention as a zero-carbon green fuel, driving the development of low-pressure ammonia synthesis technologies. Under low-pressure conditions, the energy consumption of traditional condensation separation methods increases significantly, prompting in-depth research into novel low-energy separation processes. Adsorption separation technology, with advantages such as fast adsorption rates and thorough separation, has achieved significant progress in adsorbent and process research. However, this process still faces numerous challenges in automatic control.This study compares traditional condensation separation with the novel adsorption separation process and finds that, under identical operating conditions, the adsorption separation process reduces energy consumption by approximately 4.5%. To address the unique control challenges of adsorption separation, the study proposes solutions such as multi-tank parallel design, graded desorption control, and stepwise pressurization strategies. Specific recommendations are also provided for the selection of key valves.The research demonstrates that adsorption separation technology offers an innovative solution for low-pressure ammonia synthesis. Although its control complexity is higher than that of traditional processes, with optimized sequential control logic and improved equipment reliability, this technology is expected to play a significant role in energy conservation and carbon reduction.

Evaluation of Automation Rate in Intermittent Processes

2026, 62(1): 0-0.

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Introduce the current situation of the intermittent process industry, including safety automation, process control automation, and full operation automation. Introduce the typical operating unit division of the reacor, and explain the method and precautions for compiling sequence control documents. Introduce the process of automation rate evaluation, describe how to determine the scope of analysis, and how to conduct automation rate evaluation. Provide further improvement suggestions based on the evaluation results.

Design of Process Sequence Control for Digital Logic System Based on Boolean Algebra

2026, 62(1): 0-0.

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The basic concepts of Boolean algebra and digital logic systems are introduced. The classification of sequential control is elaborated in detail. Taking the basic step sequence logic block as the core, this paper analyzes its digital circuit composition, execution steps and input/output functions. On this basis, a multi-step sequential control logic is constructed, and the design of key links such as stop instructions, on-off valve action and feedback logic, and action timing module are discussed. It introduces functional modules such as start, stop, reset modules, valve operation mode switching, step memory and breakpoint continuation operation, as well as the packaging and application scenarios of basic step sequence logic blocks.

Analysis of Instrument Impulse Piping Design Under Two Operating Conditions in PDH Units

2026, 62(1): 0-0.

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Taking the process characteristics of a PDH unit, the properties of the media, and the natural conditions of the project site as examples, this paper elaborates on the design approach for instrument impulse piping under two typical operating conditions: high-temperature media and gaseous propane/propylene media. In response to issues such as transmitter impulse pipes detaching from interfaces, air supply tubes disconnecting from pneumatic valve interfaces, and inaccurate instrument measurements, improvement measures are proposed based on the relevant requirements in design and construction specifications. These measures include securing transmitters with pipe clamps, installing expansion loops, and adding heat tracing. The study provides valuable guidance and reference for similar production facilities.

Discussion on the Application of Safety Instrumented System in Petrochemical Industry

Zhen LI

2026, 62(1): 0-0.

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The reliability of safety instrumented system is crucial due to the high risk of production characteristics in petrochemical industry. Although the application of SIS is popular present, there are still problems such as high rate of false tripping, lack of functional safety assessment, design defects and management loopholes, and accident risks still exist. For, there are prominent hidden dangers in single-point interlocking with high false tripping rate, insufficient reliability of SIL validation data source, and inadequate SIF inspection and testing In this regard, measures have been put forward to solve from the aspects of management, technology and risk control.

A study on fault prediction of circulating hydrogen compressor based on long-short memory network

2026, 62(1): 0-0.

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Aiming at the problem that it is difficult to accurately judge and predict the failure risk of circulating hydrogen compressor in chemical industry, this paper proposes the failure prediction method of circulating hydrogen compressor with long-short memory network (LSTM), which is also characterised by accurate and efficient prediction. Using historical data for data processing, the temperature, pressure, and other parameters of the circulating hydrogen compressor are used as input values to predict the faults in real time, and the prediction results are evaluated by mean absolute error (MAE), root mean square error (RMSE), and mean absolute percentage error (MAPE). The experimental results show that the LSTM neural network model is compared with BP neural network and RNN recurrent neural network, and the LSTM prediction performs well, with MAE of 0.00402, RMSE of 0.030811, and MAPE of 0.171531.This study not only provides an effective fault prediction method of recirculating hydrogen compressor in the chemical industry with important theoretical significance and practical value, but also promotes the technological innovation and application development in this field.

Research on Inversion Technology of Leakage Sources in Oil and Gas Stations Based on Modified Gaussian Model

2026, 62(1): 0-0.

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Abstract: To improve the positioning accuracy of the location information and source strength characteristics of leakage sources in oil and gas stations and maximize the role of combustible gas monitoring sensors in the stations, the Gaussian model was modified by integrating particle rebound and surface roughness. The slime mold algorithm was improved from two aspects: initialization of the population and update of the position. The modified Gaussian model and the improved slime mold algorithm (ISMA) were combined. It is used for the construction and solution of the inversion model of leakage sources, and finally analyzed and verified in combination with on-site examples. The results show that the consistency between the concentration prediction of the modified Gaussian model and the measured data is better than that of the classical model. The peak delay is 10 to 30 seconds. The mean inversion errors of the ISMA algorithm at the x value, y value and z value are 0.2m, 0.1m and 0m respectively, and the mean source strength error is 2.5g/s. All indicators are superior to the traditional algorithm and the single-improvement algorithm. The ISMA algorithm has the highest accuracy under neutral atmospheric conditions and shows good robustness under different meteorological conditions. The research results provide an efficient and accurate inversion technical solution for the emergency response to leakage in oil and gas stations.

A Analysis of Modbus Communication Abnormalities in Syringe Pump Controllers

2026, 62(1): 0-0.

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This article introduces the control requirements of the Syringe pump in petrochemical experimental unit, focusing on the Modbus communication anomaly between the pump controller and the DCS system. The article records the detailed information of communication failures, as well as the process of analyzing and solving the problems, and finally proposes effective solutions. Meanwhile, optimization measures such as redundant communication, link failure alarm, and communication status monitoring are put forward to improve the security and reliability of the communication system. This article provides reference opinions for the debugging and optimization of Modbus communication in similar industrial automation systems, which is helpful for solving common communication problems in practical applications.

PID Coordination and Optimization Strategy - Application Practice of Valve Position Control

2026, 62(1): 0-0.

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Valve Position Control (VPC) principles, typical design and applications are introduced. In flow control, it balances range and precision via large/small valve control. VPC replaces non-fixed split-range control (e.g., tower top pressure) with flexible setpoints, solving fixed split-range and tuning issues. It optimizes, like reducing compressor energy use via pressure adjustment. Precautions: VPC relies on inner loop automation; its PID tuning needs to be slow.

Thoughts on the application of key digital twin technologies in future intelligent factories in petrochemical and chemical industries

2026, 62(1): 0-0.

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Explained the origin and definition of the concept of digital twin, described CAD, simulation RTO、 The evolution process of the main application technologies of digital twins such as 3D interaction and digital delivery. Based on the characteristics of the petroleum and petrochemical industry, a molecular level full process simulation model with strict mechanisms is proposed, which is based on precise expression of molecular level material composition, digital expression of chemical kinetics and thermodynamics models, strict production unit models such as reaction and separation, and heat transfer models. This model combines artificial intelligence and optimization algorithms to analyze and evaluate the current production status of actual devices. Through molecular level full process simulation with model self correction, self optimization, and self execution, real-time connection, bidirectional mapping, dynamic interaction, and intelligent representation are achieved. To ultimately achieve the digital transformation and intelligent manufacturing of the petrochemical industry based on molecular engineering digital twin technology, and build a solid foundation.

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