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Method for Python to obtain SIS or supervision system data and perform big data analysis

A monitoring system, big data technology, applied in the direction of database management system, structured data retrieval, special data processing applications, etc., can solve the problem of increasing data transmission and conversion, to enhance data reliability, facilitate data interaction, reduce data The effect of the conversion link

Active Publication Date: 2021-10-08
西安西热电站信息技术有限公司
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Problems solved by technology

[0004] In addition, the data format provided by Java or C# is different from the data structure of the big data analysis system, and additional links are needed to reorganize the data, which increases the transmission of data conversion problem

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  • Method for Python to obtain SIS or supervision system data and perform big data analysis
  • Method for Python to obtain SIS or supervision system data and perform big data analysis

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Embodiment Construction

[0039] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0040] The data source of the present invention can adopt the real-time database of the SIS system of the power plant, the regional production real-time super...

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Abstract

The invention discloses a method for Python to obtain SIS or supervision system data and perform big data analysis. The method comprises the steps that 1) redefining the data type of an API dynamic library of an RDBProxy database agent; 2) packaging various methods of the API into a Python format, and obtaining data; 3) performing big data analysis by using the acquired data. According to the method, the problem that multiple real-time libraries, relation libraries and memory data can be simultaneously obtained from an SIS or a supervision system by using a set of uniform API function method is solved, meanwhile, the work of developing multiple sets of different data interfaces is reduced, uniform maintenance of program versions is facilitated, links of data transmission and conversion are also reduced, and the data reliability is enhanced. The obtained data can be directly subjected to data interaction with a big data analysis system.

Description

technical field [0001] The invention belongs to the technical field of Python acquiring data through an API, and in particular relates to a method for acquiring SIS or supervisory system data and big data analysis with Python. Background technique [0002] With the vigorous development of big data analysis, artificial intelligence, and "Internet +" technologies in recent years, smart power plants have also become emerging innovation points for the integration of big data and industrial production. However, the data of power plants are highly real-time, massive, diverse, and low-value density. Only by letting these data speak can we achieve "smart power generation, and the future can be expected." [0003] At present, domestic thermal power plants generally have thermal power plant-level monitoring information systems (SIS systems), most of which are developed by Java or C#, and these two languages ​​are not good at big data analysis. SIS systems generally provide data acces...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/25G06F8/36
CPCG06F16/25G06F8/36
Inventor 赵鹏东杜保华曹旭
Owner 西安西热电站信息技术有限公司
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