Energy data analysis system and method based on big data

A data analysis system and data analysis technology, applied in the field of data analysis, can solve problems such as lack of a unified management mechanism, inconsistent data standards and content, and environmental pollution

Active Publication Date: 2021-05-28
山东翰林科技有限公司 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, in the informatization process of energy enterprises such as electric power, coal, oil, natural gas, cooling/heating, etc., due to the lack of an effective unified management mechanism, energy enterprises have multiple sets of independent energy management systems, through their respective sensors. Collect data from individual systems
However, due to the inconsistency of the system architectures and protocols, the data collected by each cannot be shared, which restricts the further analysis and mining of energy big data
On the other hand, traditional electric power and other energy systems have maintaine

Method used

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  • Energy data analysis system and method based on big data
  • Energy data analysis system and method based on big data
  • Energy data analysis system and method based on big data

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] Such as figure 1 As shown, the energy data analysis system based on big data, the system includes: a data acquisition unit, including: various types of acquisition units deployed on site, the acquisition unit is configured to collect raw energy data; a data storage unit configured for It is used to segment the collected raw energy data, and then classify and store them to remove data redundancy; data preprocessing unit: check the integrity of the data, remove noise and singular values, and use data compression and transformation methods according to the task objectives method to reduce the number of effective variables or data samples to be considered, or to find the invariant identification of the data, and finally to standardize the data; the data analysis model building unit is configured to establish a data analysis model, and uses the established data analysis model to analyze the data The energy data processed by the preprocessing unit is analyzed to obtain data a...

Embodiment 2

[0027] On the basis of the previous embodiment, the data analysis model building unit includes: a framework building unit configured to determine the basic framework of deep learning, import energy training data, and build energy training data according to data characteristics, including input layer, at least A data model of a hidden layer and an output layer, the input layer contains several nodes with data characteristics, the output layer contains several nodes with energy diagnostic data characteristics, and each hidden layer contains several nodes with the output value of the previous layer Nodes with mapping correspondences; model building unit, configured to use mathematical equations for each node to establish the data model of the node, using artificial or random methods to preset relevant parameter values ​​in the mathematical equations, and inputting each node in the layer The input value of each node is the data feature described above, the input value of each node ...

Embodiment 3

[0030] On the basis of the previous embodiment, the data storage unit: the method of dividing the collected raw energy data performs the following steps: uniformly convert the received energy data into binary data, and perform fixed-size binary data on the binary data Slice processing, and generate a unique stack value for each energy data block, and at the same time link these energy data blocks in a stack structure, and generate a root stack as the stack identification of the energy data; generate the energy data block stack and the root stack The algorithm is generated according to the actual content of the energy data, and different types of energy data will generate different stack values; after the energy data is written, it will prompt that the energy data is written successfully; when new energy data is written, by setting multiple Energy data splitter, the multiple energy data splitters synchronously write tasks, and the energy data splitters that execute the write tas...

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Abstract

The technical field of data analysis of the present invention, in particular, relates to an energy data analysis system and method based on big data. The system includes: a data acquisition unit, including: various types of acquisition units deployed on site, and the acquisition unit is configured to collect raw energy data; a data storage unit: divides and classifies the collected raw energy data Storage, remove data redundancy; data preprocessing unit: check the integrity of data, remove noise and singular values, use data compression and transformation methods to reduce the number of effective variables or data samples to be considered according to the goal of the task, or Find the invariant identity of the data, and finally standardize the data. Through data segmentation and classification of energy data, it effectively reduces the redundancy of energy data and improves the efficiency of subsequent data processing; at the same time, it uses a deep learning model to conduct multi-scale analysis of energy data, improving the accuracy of data analysis results sex.

Description

technical field [0001] The invention belongs to the technical field of data analysis, and in particular relates to an energy data analysis system and method based on big data. Background technique [0002] Big data refers to the collection of data whose content cannot be captured, managed and processed by conventional software tools within a certain period of time. Big data technology refers to the ability to quickly obtain valuable information from various types of data. Technologies applicable to big data, including massively parallel processing (MPP) databases, data mining grids, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems. [0003] At present, the acquisition and integration of massive energy data is the basis for the construction of energy big data, but the problem of isolated information islands in the energy field has become an important restrictive factor in promoting the integration of energ...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06F16/22G06F16/2458G06F16/28G06Q10/04G06Q10/06G06Q50/06G08B31/00
CPCG06Q10/04G06Q10/0639G06Q50/06G08B31/00G06F16/215G06F16/2228G06F16/2462G06F16/285Y02P90/82Y02D10/00
Inventor 李兴谢继冉张世伟段清天王笛孙汉林
Owner 山东翰林科技有限公司
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