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Electricity consumption big data storage system, prediction algorithm and visual display platform

A data storage system and storage system technology, applied in the field of big data storage and processing, can solve problems such as the inability to mine effective information from it and the limited relational model of the traditional architecture, and achieve high-performance distributed data computing capabilities and strong horizontal expansion effect of ability

Pending Publication Date: 2022-03-22
烟台战歌电子有限公司
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Problems solved by technology

In the face of massive and growing dynamic power consumption data, the traditional system structure is limited by the relational model, and it is impossible to mine effective information from it, and analyze and utilize the data in multiple dimensions to give full play to the value of power data

Method used

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  • Electricity consumption big data storage system, prediction algorithm and visual display platform
  • Electricity consumption big data storage system, prediction algorithm and visual display platform
  • Electricity consumption big data storage system, prediction algorithm and visual display platform

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Embodiment Construction

[0047] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0048] Such as Figure 1-7 As shown in the first aspect of the present invention, a power consumption big data storage system includes building a power consumption big data distributed storage model:

[0049] Use the big data framework to build a data lake storage system;

[0050] Sqoop is used as the transmission channel between traditional data and the data lake storage system, and historical data is imported into the...

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Abstract

The invention relates to the technical field of big data storage and processing, in particular to an electricity consumption big data storage system, a prediction algorithm and a visual display platform, an electricity consumption data storage and processing model is established, storage, anomaly detection and trend prediction of large-scale electricity consumption data are achieved, an Flink stream processing component is utilized, an isolated forest algorithm and a Holt-Winters algorithm are combined, and the electricity consumption big data can be obtained. And the abnormal detection of the real-time power consumption data and the prediction of the power consumption trend are realized. A plurality of advanced big data components are integrated, a big data platform for power consumption data storage and analysis is built, and the capacity of storing massive original data is achieved; the transverse expansion capability is relatively high; high-performance distributed data calculation capability is realized; and a real-time data visualization function is realized, and the power utilization indexes are displayed in real time by utilizing an enterprise-level BI visualization program Superset.

Description

technical field [0001] The invention relates to the technical field of big data storage and processing, in particular to a power consumption big data storage system, a prediction algorithm and a visual display platform. Background technique [0002] The scale of power data is growing exponentially, traditional storage is facing performance bottlenecks, and new storage architectures are the future trend. At present, the ever-increasing electricity consumption data presents the characteristics of mass, high speed and diversity, which makes traditional data (MySQL, Oracle, SQLServer, etc.) unable to meet the storage requirements of electricity consumption data. Traditional databases can only store structured data, and it is very difficult to store power data with complex structures. Secondly, traditional structured databases have a storage space threshold, and when the threshold is reached, the storage performance will drop rapidly. The emergence of big data technology is to ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F16/172G06F16/182G06F16/215G06F16/22G06F16/27G06F16/28
CPCG06Q10/04G06Q10/06393G06Q50/06G06F16/172G06F16/182G06F16/215G06F16/2282G06F16/27G06F16/287Y02D10/00
Inventor 叶明国李娟陈记忠张凯
Owner 烟台战歌电子有限公司
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