Method for remotely and integrally controlling chemical device based on virtual cloud platform

Abstract

The invention relates to the field of control systems, and discloses a method for remotely and integrally controlling a chemical device based on a virtual cloud platform, which comprises the following steps of: establishing a virtual cloud computing platform and creating control software and data analysis software of a plurality of virtual machines to operate the chemical device; a sensor and an actuator are installed on the chemical engineering device, and control instructions are collected and executed in real time; operating data of the chemical device are collected in real time through a sensor and uploaded to the cloud computing platform; and an operator remotely issues a control instruction through a user interface of the control software of the cloud platform, and the edge computing device executes corresponding operation after receiving the control instruction, so that remote integrated control is realized. According to the invention, centralized monitoring and management of chemical devices are realized, and the production efficiency and safety are improved; remote operation and control are supported, and remote expert consultation and multi-department cooperative work are facilitated; and big data analysis and artificial intelligence technologies are utilized to perform process optimization and predictive maintenance, so that the product quality and the production efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the field of control systems, and in particular to a method for remote integrated control of a chemical plant based on a virtual cloud platform. Background Art

[0002] Chemical plants refer to equipment and systems used in chemical reactions, separations, purifications, synthesis and other processes. These plants are widely used in many industries such as petrochemicals, pharmaceuticals, food, and environmental protection.

[0003] The control of traditional chemical plants usually relies on on-site operations. Operators need to perform manual adjustments and monitoring near the equipment, such as using buttons and manual valves. This method is often inefficient and prone to errors. Data collection and monitoring are usually limited and rely more on manual records and observations. Data processing and analysis are relatively lagging, which can easily lead to delayed response times. Equipment maintenance often relies on manual inspections and regular maintenance, and troubleshooting and repairs are relatively cumbersome. Summary of the invention

[0004] The technical problem to be solved by the present invention is to overcome the above technical defects and provide a method for remote integrated control of chemical equipment based on a virtual cloud platform.

[0005] In order to solve the above problems, the technical solution of the present invention is: a method for remote integrated control of chemical equipment based on a virtual cloud platform, comprising the following steps:

[0006] S1. Build a virtual cloud computing platform, deploy virtualization software on the cloud computing platform, and create multiple virtual machines, wherein the virtual machines are used to run control software and data analysis software for chemical equipment, and the control software and data analysis software both provide user interfaces and functional modules;

[0007] S2. Install sensors and actuators on chemical plants to collect and execute control instructions in real time; deploy edge computing devices on site to perform data preprocessing and preliminary analysis; connect sensors, actuators, and edge computing devices to the cloud platform using wired and wireless networks;

[0008] S3. Collect the operation data of the chemical plant in real time through sensors and upload it to the cloud computing platform. Use the data visualization tools of the cloud computing platform to display the collected data in the form of charts and dashboards, so that operators can monitor the status of the plant in real time.

[0009] S4. The operator remotely issues control instructions through the user interface of the control software of the cloud platform. After receiving the control instructions, the edge computing device executes the corresponding operation and feeds back the execution results to the cloud computing platform to realize remote integrated control.

[0010] S5. Data analysis software uses machine learning algorithms to analyze the collected historical data, establish mathematical models to describe the working status and behavior patterns of chemical plants, continuously adjust and optimize model parameters according to actual operating conditions to improve the accuracy and reliability of the model, and predict the operating status of the plant through mathematical models.

[0011] Furthermore, the cloud computing platform supports simultaneous access by multiple users, enabling remote collaborative work, such as remote expert consultation, multi-department joint decision-making, etc.

[0012] Furthermore, the cloud computing platform adopts multi-factor authentication and role-based access control technologies to ensure that only authorized users can access and control the chemical equipment.

[0013] Furthermore, the sensors include temperature, pressure, flow, liquid level sensors, etc.; the actuators include valves, pumps, heaters, agitator regulators, etc.

[0014] Furthermore, the cloud computing platform sets alarm thresholds and early warning rules. When the data uploaded by the sensor exceeds the threshold or an abnormality occurs, the system automatically issues an alarm and early warning information to remind the operator to handle it in time.

[0015] Furthermore, the data analysis software can identify the operating trends and patterns of the device by establishing mathematical models, discover potential problems and optimization space; and predict the operating status of the device, detect equipment failures and performance degradation in advance, and perform preventive maintenance and upkeep; through data analysis, optimize chemical process parameters, improve product quality and production efficiency, and reduce energy consumption and costs.

[0016] Compared with the existing technology, the advantages of the present invention are: the present invention realizes centralized monitoring and management of chemical equipment, improving production efficiency and safety; supports remote operation and control, facilitating remote expert consultation and multi-department collaboration; uses big data analysis and artificial intelligence technology to perform process optimization and predictive maintenance, improving product quality and production efficiency; reduces the demand for on-site operators, and reduces labor costs and operating costs. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present invention are clearly and completely described below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0018] A method for remote integrated control of a chemical plant based on a virtual cloud platform comprises the following steps:

[0019] S1. Utilize the infrastructure resources of cloud service providers (such as AWS, Azure, Alibaba Cloud, etc.) to build a virtual cloud computing platform, deploy virtualization software on the cloud computing platform, and create multiple virtual machines. The virtual machines are used to run the control software and data analysis software of the chemical plant. Both the control software and the data analysis software provide user interfaces and functional modules.

[0020] The cloud computing platform supports simultaneous access by multiple users and realizes remote collaborative work, such as remote expert consultation, joint decision-making by multiple departments, etc., and the cloud computing platform adopts multi-factor authentication and role-based access control technology to ensure that only authorized users can access and control chemical equipment.

[0021] S2. Install sensors and actuators on chemical equipment to collect and execute control instructions in real time. The sensors include temperature, pressure, flow, liquid level sensors, etc., and the actuators include valves, pumps, heaters, agitator regulators, etc.; deploy edge computing equipment at the device site to perform data preprocessing and preliminary analysis to reduce data transmission volume and delay.

[0022] Use wired (such as Ethernet, Industrial Ethernet) and wireless networks (such as Wi-Fi, 4G / 5G, LoRa, etc.) to connect sensors, actuators, and edge computing devices to the cloud platform.

[0023] S3. Collect the operating data of chemical plants in real time through sensors and upload it to the cloud computing platform. Use the data visualization tools of the cloud computing platform to display the collected data in the form of charts and dashboards, so that operators can monitor the status of the plants in real time.

[0024] The cloud computing platform sets alarm thresholds and early warning rules. When the data uploaded by the sensor exceeds the threshold or an abnormality occurs, the system automatically issues an alarm and early warning information to remind the operator to handle it in time.

[0025] S4. The operator remotely issues control instructions through the user interface of the cloud platform's control software. After receiving the control instructions, the edge computing device executes the corresponding operations and feeds back the execution results to the cloud computing platform to achieve remote integrated control.

[0026] S5. Data analysis software uses machine learning algorithms to analyze the collected historical data, establish mathematical models to describe the working status and behavior patterns of chemical plants, continuously adjust and optimize model parameters according to actual operating conditions to improve the accuracy and reliability of the model, and predict the operating status of the plant through mathematical models.

[0027] By establishing mathematical models, data analysis software can identify the operating trends and patterns of the device, discover potential problems and optimization space; predict the operating status of the device, detect equipment failures and performance degradation in advance, and perform preventive maintenance and upkeep; through data analysis, optimize chemical process parameters, improve product quality and production efficiency, and reduce energy consumption and costs.

[0028] The present invention realizes centralized monitoring and management of chemical plants, improving production efficiency and safety; supports remote operation and control, facilitating remote expert consultation and multi-department collaboration; utilizes big data analysis and artificial intelligence technology to perform process optimization and predictive maintenance, improving product quality and production efficiency; reduces the need for on-site operators, and reduces labor costs and operating costs.

[0029] The undisclosed parts in the present invention are all prior art, and their specific structures and working principles are not described in detail.

[0030] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0031] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

[0032] The present invention and its implementation methods are described above. Such description is not restrictive. If a person skilled in the art is inspired by it and creatively designs structures and implementation methods similar to the technical solution without departing from the purpose of the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A method for remote integrated control of a chemical plant based on a virtual cloud platform, characterized in that: The steps include: S1. Build a virtual cloud computing platform, deploy virtualization software on the cloud computing platform, and create multiple virtual machines, wherein the virtual machines are used to run control software and data analysis software for chemical equipment, and the control software and data analysis software both provide user interfaces and functional modules; S2. Install sensors and actuators on chemical plants to collect and execute control instructions in real time; deploy edge computing devices on site to perform data preprocessing and preliminary analysis; connect sensors, actuators, and edge computing devices to the cloud platform using wired and wireless networks; S3. Collect the operation data of the chemical plant in real time through sensors and upload it to the cloud computing platform. Use the data visualization tools of the cloud computing platform to display the collected data in the form of charts and dashboards, so that operators can monitor the status of the plant in real time. S4. The operator remotely issues control instructions through the user interface of the control software of the cloud platform. After receiving the control instructions, the edge computing device executes the corresponding operation and feeds back the execution results to the cloud computing platform to realize remote integrated control. S5. Data analysis software uses machine learning algorithms to analyze the collected historical data, establish mathematical models to describe the working status and behavior patterns of chemical plants, continuously adjust and optimize model parameters according to actual operating conditions to improve the accuracy and reliability of the model, and predict the operating status of the plant through mathematical models.

2. The method for remote integrated control of chemical equipment based on a virtual cloud platform according to claim 1, characterized in that: The cloud computing platform supports simultaneous access by multiple users and realizes remote collaborative work, such as remote expert consultation and multi-department joint decision-making.

3. The method for remote integrated control of chemical equipment based on a virtual cloud platform according to claim 2, characterized in that: The cloud computing platform adopts multi-factor authentication and role-based access control technologies to ensure that only authorized users can access and control the chemical plant.

4. The method for remote integrated control of chemical equipment based on a virtual cloud platform according to claim 1, characterized in that: The sensors include temperature, pressure, flow, and liquid level sensors; the actuators include valves, pumps, heaters, and agitator regulators.

5. The method for remote integrated control of chemical equipment based on a virtual cloud platform according to claim 1, characterized in that: The cloud computing platform sets alarm thresholds and early warning rules. When the data uploaded by the sensor exceeds the threshold or an abnormality occurs, the system automatically issues an alarm and early warning information to remind the operator to handle it in time.

6. The method for remote integrated control of chemical equipment based on a virtual cloud platform according to claim 1, characterized in that: Data analysis software can identify the operating trends and patterns of the device by building mathematical models, discovering potential problems and optimization space; And predict the operating status of the device, detect equipment failure and performance degradation in advance, and perform preventive maintenance and upkeep; Through data analysis, chemical process parameters can be optimized, product quality and production efficiency can be improved, and energy consumption and costs can be reduced.