Operation and maintenance detection cost prediction method for physical assets of power grid based on big data

Abstract

The invention discloses an operation and maintenance detection cost prediction method for physical assets of a power grid based on big data, and the method comprises a multisource data collection platform, a data warehouse, a MapReduce model, and a data visualization display platform. An operation and maintenance detection cost prediction system for physical assets of the power grid employs the big data analysis technology, the ETL technology, the data warehouse technology and the data visualization technology, takes the whole-life-cycle of assets as the guiding thought, takes the asset unit information data in a PMS system and an ERP system and the operation and maintenance cost as the objects, builds a statistical relation of mass unstructured data through the analysis methods of clustering analysis, classification analysis and correlation analysis, and achieves the middle-term and long-term analysis prediction of the operation and maintenance cost scale and development trend of the physical assets of the power grid. The method achieves the high-efficiency integration of data of various types of business systems in the operation and maintenance management of the physical assets of the power grid, and improves the prediction accuracy of the operation and maintenance cost.

Description

technical field [0001] The present invention relates to a forecasting method, and more specifically relates to the forecasting of operation and maintenance costs of physical assets of a power grid based on big data analysis technology. technical background [0002] Physical assets refer to fixed assets, low-value durable goods, material consumables and other assets that have physical form and have clear and quantifiable value items. Power grid enterprises are asset-intensive enterprises, and the proportion of physical assets in their asset structure is as high as 80%. Primary equipment, secondary equipment, communication networks, instruments, buildings, vehicles, consumables and other tangible assets are all physical assets. The scale and utilization efficiency of physical assets directly determine the production capacity of an enterprise. With the continuous increase of investment in power grids, the scale of physical assets and operation and maintenance costs of power gr...

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Problems solved by technology

[0014] This literature uses a tree structure to explain the direct relationship between physical asset indicators, and thus analyzes the direct relationship between indicators, which has certain significance for determining the impact coefficient of indicators on the scale of operation and maintenance, but the relevant research methods have not been applied to the cost of operation and maintenance on the forecast

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