Vehicle gasoline blending formula optimization and quality on-line monitoring method

Abstract

The invention belongs to the technical field of gasoline production whole process quality monitoring, and particularly relates to a vehicle gasoline blending formula optimization and quality on-line monitoring method, which is characterized in that an on-line analysis system taking a mathematical model as a core is replaced by efficient integration and analysis of MES and LIMS data; the method comprises the following steps: establishing an estimation mathematical model for various indexes of vehicle gasoline by using a blending information base, optimizing a vehicle gasoline blending formula by taking the lowest total price of oil for blending as an objective function and the equal upper and lower limits of component oil, quality data blocking and total blended oil product weight as constraint conditions, and solving through nonlinear programming to obtain an optimal solution, thereby obtaining an optimal component oil ratio. By establishing the system, production scheduling optimization is carried out on vehicle gasoline blending production, benefit maximization is achieved, and the blank of vehicle gasoline blending is filled up.

Description

Technical Field

[0001] The present invention belongs to the technical field of quality monitoring in the whole process of gasoline production, and particularly relates to a method for optimizing the blending formula of vehicle gasoline and online monitoring of quality. Background Art

[0002] Oil blending is the last process before the petroleum products of petrochemical enterprises leave the factory, and it is a basic work in the petrochemical industry. The requirements for oil blending indicators are strict, with strong technicality and wide range of knowledge involved. Oil blending not only requires knowledge of oil physical properties, instrument control, etc., but also requires quality awareness, cost awareness, benefit awareness, safety and environmental protection awareness, and more importantly, rich practical experience. The work of oil blending is to create the greatest economic benefits for the enterprise with the least amount of high-quality raw materials. At present, the core technology of vehicle gasoline blending optimization is monopolized by foreign advanced control manufacturers, and it is in a state of being "held back by the neck". Summary of the Invention

[0003] The purpose of the present invention is to provide a method for optimizing the blending formula of vehicle gasoline and online monitoring of quality, which does not require an online analysis device, and the model can be optimized, adjusted and upgraded according to the actual production situation in the later stage, effectively solving all problems brought by imported systems. At the same time, a production scheduling optimization system for vehicle gasoline blending is added to optimize the production plan and break through the core technology blockade.

[0004] The purpose of the present invention is achieved by the following technical solutions:

[0005] The method for optimizing the blending formula of vehicle gasoline and online monitoring of quality according to the present invention is characterized by including the following steps:

[0006] (1) Establish an information database for vehicle gasoline blending. Extract the analysis data of each component oil through MES and LIMS, and extract the flow information of each component oil according to the current vehicle gasoline blending state, and save it in the database to form a blending information database;

[0007] (2) Establish a prediction model for vehicle gasoline blending. Use the blending information database to establish a prediction mathematical model for each index of vehicle gasoline, and solve the blending formula with the optimal benefit through nonlinear programming to achieve maximum benefit;

[0008] (3) Evaluate the product quality. Through the prediction mathematical model of vehicle gasoline blending quality, realize the prediction of product quality, and make timely adjustments and corrections when deviations occur to achieve full-process quality control of vehicle gasoline production;

[0009] (4) Optimize and control vehicle gasoline blending. Achieve the optimization of the whole process of vehicle gasoline blending through the vehicle gasoline blending information database, the vehicle gasoline blending prediction model and the prediction of vehicle gasoline product quality.

[0010] The data includes three parts:

[0011] (1) PHD real-time data, used for collecting information such as tank storage and processing volume;

[0012] (2) LIMS quality analysis data;

[0013] (3) Blending basic information data.

[0014] The described PHD real-time data collection is developed based on the PHD API321 interface.

[0015] The described LIMS quality analysis data is developed based on OleDB technology.

[0016] The described blending basic information data is developed based on OleDB technology.

[0017] Advantages of the present invention:

[0018] (1) For the method of optimizing the blending formula and online quality monitoring of vehicle gasoline of the present invention, the establishment of the system optimizes the production scheduling of vehicle gasoline blending production, realizes the maximization of benefits, and fills the blank of vehicle gasoline blending software;

[0019] (2) For the method of optimizing the blending formula and online quality monitoring of vehicle gasoline of the present invention, the whole process of vehicle gasoline blending is optimized. Through the production scheduling, formula optimization and quality monitoring of vehicle gasoline production, the whole process of vehicle gasoline blending is controlled. By using this system, the octane number of vehicle gasoline blending can be reduced by 0.1 unit; after the application of this set of systems, it replaces imported blending software and realizes the optimization of benefits;

[0020] (3) For the method of optimizing the blending formula and online quality monitoring of vehicle gasoline of the present invention, it integrates MES and LIMS to establish a vehicle gasoline blending information database. Through the efficient integration and analysis of MES and LIMS data, it replaces the online analysis system with a mathematical model as the core;

[0021] (4) For the method of optimizing the blending formula and online quality monitoring of vehicle gasoline of the present invention, it custom-develops a web page end and a mobile phone end APP, realizes multi-platform sharing of the production process, is more convenient to use and operate, and can view detailed information at any time through the mobile phone, which is more convenient for monitoring and adjustment. Description of the Drawings

[0022] Figure 1 It is a gasoline blending production scheduling chart of an embodiment of the present invention.

[0023] Figure 2 It is a product quality prediction chart of an embodiment of the present invention.

[0024] Figure 3 It is a chart of the whole-process quality control of gasoline production of an embodiment of the present invention. Detailed implementation manners

[0025] The following further describes the detailed implementation manners of the present invention with reference to the accompanying drawings.

[0026] The method for optimizing the blending formula of vehicle gasoline and online monitoring of quality according to the present invention is characterized in that through the development of a popular platform, "VBA" programming is used to establish and solve a model, and specifically includes the following steps:

[0027] (1) Establish an information database for vehicle gasoline blending. Through MES and LIMS, extract the analysis data of each component oil, and according to the current vehicle gasoline blending state, extract the flow information of each component oil and store it in the database to form a blending information database;

[0028] (2) Establish a prediction model for vehicle gasoline blending. Use the blending information database to establish a prediction mathematical model for various indicators of vehicle gasoline, and solve the blending formula with the optimal benefit through nonlinear programming to maximize the benefit;

[0029] (3) Evaluate the product quality. Through the prediction mathematical model of vehicle gasoline blending quality, realize the prediction of product quality, and make timely adjustments and corrections when deviations occur to make the whole process quality of vehicle gasoline production controlled;

[0030] (4) Optimize and control the blending of vehicle gasoline. Realize the optimization of the whole process of vehicle gasoline blending through the vehicle gasoline blending information database, the vehicle gasoline blending prediction model and the prediction of vehicle gasoline product quality.

[0031] The data mentioned above includes three parts:

[0032] (1) PHD real-time data, used to collect information such as tank storage and processing volume;

[0033] (2) LIMS quality analysis data;

[0034] (3) Blending basic information data.

[0035] The acquisition and development of the PHD real-time data mentioned above are based on the PHD API321 interface.

[0036] The LIMS quality analysis data mentioned above is developed based on OleDB technology.

[0037] The blending basic information data mentioned above is developed based on OleDB technology.

[0038] At present, domestic refineries generally use imported blending software for blending optimization and quality prediction. The entire set of software relies on an on-line analysis system, which uses near-infrared technology. When the properties of crude oil change, it is necessary to re-model and proofread, and the maintenance process is very cumbersome. In addition, the core operation modules of foreign software are all encapsulated, and users cannot optimize and modify them. The oil product blending optimization prediction module and the on-line analysis module cannot be precisely coordinated, and quality edge control cannot be achieved. The quotation of the entire imported system is generally between 15 million and 20 million. The method for optimizing the blending formula and on-line monitoring of the quality of vehicle gasoline of the present invention is completely independently developed. The blending prediction and optimization model of vehicle gasoline are all independently completed, and the system development is completed by independently writing programs. It does not require on-line analysis equipment, and the model can be optimized, adjusted and upgraded according to the actual production situation in the later stage, effectively solving all problems brought by the imported system. At the same time, it also adds an optimization system for vehicle gasoline blending production scheduling to optimize the production plan and break through the core technology blockade.

[0039] The method for optimizing the blending formula and on-line monitoring of the quality of vehicle gasoline of the present invention achieves a new breakthrough by using Internet and informatization means. Through information integration and analysis and calculation, it realizes the optimization of vehicle gasoline blending and on-line monitoring of quality, so that the quality of the whole process of vehicle gasoline production is controlled. Through the efficient integration and analysis of MES and LIMS data, it replaces the on-line analysis system with a mathematical model as the core. Using the blending information database, a prediction mathematical model is established for each index of vehicle gasoline. The optimization of the vehicle gasoline blending formula takes the lowest total price of the oils used in blending as the objective function, and the upper and lower limits of the component oils, the quality data on the edge, and the equal weight of the total blended oil products as the constraints. The optimal solution is obtained by solving the non-linear programming, and the optimal component oil ratio is obtained.

[0040] Examples

[0041] 1. Gasoline blending production scheduling.

[0042] The current production of gasoline blending component oils is 65 t / h of etherified gasoline, 70 t / h of hydrotreated gasoline, 58 t / h of high-octane gasoline, 21 t / h of mixed alkanes, 26 t / h of light naphtha, and 25 t / h of alkylated oil. The gasoline No. 1 blending head produces gasoline for export to Australia, and the gasoline No. 2 blending head produces 92# vehicle gasoline. The flow ratio of the gasoline No. 1 head and the gasoline No. 2 head is controlled at 1:1. After the above conditions are input, according to the two limiting conditions of product quality and the production of blending component oils and the objective condition of optimal benefit, the optimal formula can be obtained. Such as Figure 1 .

[0043] 2. Product quality monitoring.

[0044] Through MES and LIMS, the analysis data of each component oil is extracted, and according to the current gasoline blending state, the flow information of each component oil is extracted and saved in the database to form a blending information database. Through the mathematical model for predicting the quality of gasoline blending, the product quality prediction is realized. When deviations occur, adjustments and corrections can be made in a timely manner to ensure that the quality of the entire gasoline production process is controlled. For example Figure 2 and 3 。

[0045] The method for optimizing the blending formula and online monitoring of the quality of vehicle gasoline of the present invention, the establishment of the system optimizes the production scheduling of vehicle gasoline blending production, maximizes the benefits, and fills the gap in vehicle gasoline blending software; the whole process optimization of vehicle gasoline blending, through the production scheduling, formula optimization and quality monitoring of vehicle gasoline production, realizes the control of the whole process of vehicle gasoline blending. By using this system, the octane number of vehicle gasoline blending can be reduced by 0.1 unit; after the application of this set of system, it replaces the imported blending software and realizes the optimization of benefits; integrates MES and LIMS to establish a vehicle gasoline blending information database, and through the efficient integration and analysis of MES and LIMS data, replaces the online analysis system with a mathematical model as the core; the method for optimizing the blending formula and online monitoring of the quality of vehicle gasoline of the present invention customizes and develops a web-based terminal and a mobile phone APP to realize multi-platform sharing of the production process, making it more convenient to use and operate. Detailed information can be viewed at any time through the mobile phone, which is more convenient for monitoring and adjustment.

Claims

1. A method for optimizing the blending formula of vehicle gasoline and online monitoring of quality, characterized in that It includes the following steps: (1) Establish a vehicle gasoline blending information database. Extract the analysis data of each component oil through MES and LIMS, and according to the current vehicle gasoline blending status, extract the flow information of each component oil and save it in the database to form a blending information database; (2) Establish a vehicle gasoline blending prediction model. Use the blending information database to establish a prediction mathematical model for various indicators of vehicle gasoline, and solve the blending formula with the optimal benefit through nonlinear programming to maximize the benefit; (3) Evaluate the product quality. Through the vehicle gasoline blending quality prediction mathematical model, realize the prediction of product quality, and make timely adjustments and corrections when deviations occur to ensure the quality control of the whole process of vehicle gasoline production; (4) Optimize and control the vehicle gasoline blending. Achieve the optimization of the whole process of vehicle gasoline blending through the vehicle gasoline blending information database, the vehicle gasoline blending prediction model and the vehicle gasoline product quality prediction.

2. The method for optimizing the blending formula of vehicle gasoline and online monitoring of quality according to claim 1, characterized in that The data includes three parts: (1) PHD real-time data, which is used to collect information such as tank storage and processing volume; (2) LIMS quality analysis data; (3) Blending basic information data.

3. The method for optimizing the blending formula of vehicle gasoline and online monitoring of quality according to claim 2, characterized in that The acquisition and development of the PHD real-time data are based on the PHD API321 interface.

4. The method for optimizing the blending formula of vehicle gasoline and online monitoring of quality according to claim 2, characterized in that The LIMS quality analysis data is developed based on the OleDB technology.

5. The method for optimizing the blending formula of vehicle gasoline and online monitoring of quality according to claim 2, characterized in that The blending basic information data is developed based on the OleDB technology.

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