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Automation data model realizing method suitable for oil gas long distance pipeline

A technology of long-distance pipeline and data model, which is applied in the realization field of automatic data model, and can solve the problem that the description of automatic data model is not deep enough.

Inactive Publication Date: 2017-04-26
CHINA REALTIME DATABASE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that the current pipeline data models are all based on relational databases, which provide organizational specifications for the objects and related factor databases in each link of pipeline production and operation, but the description of the automation data model is not deep enough. Expand this part based on

Method used

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  • Automation data model realizing method suitable for oil gas long distance pipeline
  • Automation data model realizing method suitable for oil gas long distance pipeline
  • Automation data model realizing method suitable for oil gas long distance pipeline

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Embodiment

[0039] Taking the real-time data collection and monitoring application of equipment as an example, describe the real-time example of the subject domain package of the application, refer to figure 1 The architecture design in the basic package, the core package, topology package, equipment facility package, domain package, and signal package in the basic package have been completed in real time;

[0040] step 1:

[0041] Establish a data center and monitoring business model. The data center mainly includes the collection, processing and storage of real-time operation data of equipment and facilities, as well as the provision of external data access interfaces. The monitoring business mainly includes the monitoring of real-time operation data of equipment and facilities and the issuance of equipment and facility control instructions, etc. ;

[0042] Step 2:

[0043] Determine the entity objects required for the data center and monitoring business model. This business model not...

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Abstract

The invention discloses an automation data model realizing method suitable for oil gas long distance pipelines; the method comprises the following steps: building a business model according to application scenes, and firstly determining entity objects needed by the business model; carding object attributes of the entity objects needed by the business model; defining a business model subject domain according to the entity objects needed by the business model, listing entity objects and attributes thereof in the subject domain, and building relations between entity objects in the subject domain; defining an interoperate method of the business model, and defining access interfaces of the entity objects in the subject domain, wherein the access interfaces comprise four API interfaces including a query, an adding, a correcting and a deleting interface. The method can realize oil gas long distance pipeline automation data uniform accessing, processing, storing and visiting, thus effectively managing and using the data; in addition, the data model has certain versatility and expansion ability, and can be expanded for data applications in the oil gas long distance pipeline production, operation and management fields.

Description

technical field [0001] The invention belongs to the technical field of automatic data standards and models of long-distance oil and gas pipelines, and in particular relates to a method for realizing an automatic data model suitable for long-distance oil and gas pipelines. Background technique [0002] The long-term operation of oil and gas long-distance pipeline equipment generates massive production automation data, such as temperature, pressure, vibration, flow real-time data and alarm data of pipeline station production operation, safety monitoring, equipment operation and other services. These data record the details of the operation of the pipeline station, but due to the scattered distribution and huge volume, how to standardize the collection, storage, processing, access and effective use has become a problem. Therefore, it is necessary to study the automatic data model of long-distance oil and gas pipelines, and formulate a set of data models that can be widely appli...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06Q50/30G06F17/30
CPCG06F16/25G06Q10/067G06Q50/06G06Q50/40
Inventor 周劲鹰王想王利鑫
Owner CHINA REALTIME DATABASE
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