A big data-based oil quality analysis system

An oil product quality and analysis system technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of weak deep-level mining and application of quality results, so as to eliminate quality incidents of social groups, improve risk management and control capabilities, and avoid returning to the furnace The effect of reconstruction

Active Publication Date: 2021-08-24
CHINA PETROLEUM & CHEM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, there have been professional methods based on spectral libraries, image analysis systems, expert systems, etc. in oil quality processing, but the application of in-depth mining of quality results is relatively weak

Method used

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  • A big data-based oil quality analysis system
  • A big data-based oil quality analysis system
  • A big data-based oil quality analysis system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0078] figure 1 It is a schematic diagram of the composition and structure of the oil quality analysis system based on big data provided by the present invention. Such as figure 1 As shown, the system mainly includes: community analysis subsystem 1, traceability analysis subsystem 2 and correlation analysis subsystem 3. The community analysis subsystem 1, traceability analysis subsystem 2 and correlation analysis subsystem 3 will be described in detail below.

[0079] figure 2 It is the working principle diagram of the community analysis subsystem provided by the present invention. Depend on figure 2 It can be seen that the identification and analysis of oil product characteristics by the community analysis subsystem is mainly based on the community division of oil product quality, among which the division methods of comprehensive business division, classification supervised division and unsupervised clustering are preferred, and all The inspected oil products are divid...

Embodiment 2

[0253] In addition, according to the second embodiment of the present invention, the community analysis subsystem of the oil quality analysis system provided by the present invention may further include:

[0254] A business analysis module, which is mainly used to analyze the distribution of oil suppliers in each community and the distribution of oil suppliers in each community according to the oil characteristics of each community obtained by the community analysis module 14 and / or the oil product differences of each community , so as to obtain the oil characteristics of each oil supplier and the oil differences among different oil suppliers. From this, relevant researchers can further judge whether the differences in the production processes of different types of productive suppliers can be reflected in the differences in the detection items of refined oil.

Embodiment 3

[0256] In addition, according to the third embodiment of the present invention, the community analysis subsystem of the oil quality analysis system provided by the present invention may further include:

[0257] Community classification module, which is used to determine the scores and weights of various detection indicators according to the oil characteristics of the community, calculate the community score, and then rate the community according to the community score;

[0258] The quality early warning module is used to give warnings to new incoming oil products that fall into substandard grade groups.

[0259] Specifically, for the division of community levels, it is necessary to judge according to the characteristics of the detection indicators of the community. First, the community classification module grades each index from the perspective of a single index from a business point of view, reasonably divides the value ranges of various detection indexes of No. 92 and No. ...

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Abstract

The invention discloses an oil quality analysis system based on big data, which comprises a community analysis subsystem, a traceability analysis subsystem and a correlation analysis subsystem. Among them, the community analysis subsystem includes a feature screening module, a classification module, an unsupervised clustering module and a community analysis module; the traceability analysis subsystem includes a feature screening module, a sample balance module, a model building module and a traceability analysis module; the correlation analyzer The system includes an index correlation analysis module and a community correlation analysis module. By using the invention, the correlation between the oil product detection indicators can be found by exploring the potential laws hidden behind the quality inspection data, and the problem oil products can be found in advance through the oil product community analysis and oil product traceability analysis, and the relationship between oil products and oil products can be established. The relationship between production-oriented suppliers further improves Sinopec's risk management and control capabilities for oil product quality.

Description

technical field [0001] The invention relates to an oil quality data inspection and analysis technology, in particular to an oil quality analysis system based on big data. Background technique [0002] At present, the quality of oil products is mainly managed through the Laboratory Information Management System (hereinafter referred to as LIMS). The earliest application of LIMS in the world (the term was proposed in 1982) originated in some colleges and universities in the United States in the late 1960s , research institutes and chemical companies. It has gone through three stages of research, development and commercialization. Later, with the rapid development of computer technology, network communication technology, database and instrumentation, the application of LIMS technology entered a new era. The world famous Exxon-Mobil (Exxon-Mobil) oil company, Shell (Shell) oil Companies have already popularized and applied LIMS technology. [0003] LIMS is mainly aimed at lab...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06Q10/06G06Q30/00
CPCG06Q10/06395G06Q30/018G06F18/23G06F18/22G06F18/243
Inventor 王维民卢衍波郑斌周金广王守城王乐徐敏倪庆旭
Owner CHINA PETROLEUM & CHEM CORP
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