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A verification method for data collected by a big data energy consumption online monitoring system

A monitoring system and data collection technology, applied in database update, structured data retrieval, electronic digital data processing, etc., can solve problems such as affecting the accuracy of the database and interfering with normal data, so as to maintain the accuracy and reduce the impact.

Active Publication Date: 2020-09-15
GUANGDONG XINGFA ALUMINUM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, junk data interferes with normal data and affects the accuracy of the database. Therefore, it is necessary to develop a verification method for collecting data to ensure the accuracy of the database.

Method used

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  • A verification method for data collected by a big data energy consumption online monitoring system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] Such as figure 1 As shown, a method for verifying data collected by a big data energy consumption online monitoring system includes the following steps:

[0034] 1) Obtain fragments of energy consumption data collected by the online monitoring system;

[0035] 2) Preliminary processing of the data fragments to separate the highest and lowest values ​​in the data fragments;

[0036] 3) Objectify the preliminary processed data to obtain multiple data objects corresponding to the data collected by the line monitoring system;

[0037] 4) Perform cross-table rule verification on data objects corresponding to different data tables according to the cross-table rule verification method;

[0038] 5) Obtain the position of the data object that has not passed the validation of the cross-table rule in the data table to which it belongs;

[0039] 6) Extract the data that has not passed the cross-table rule verification, and store the data that has passed the cross-table rule veri...

Embodiment 2

[0054] Such as figure 1 As shown, a method for verifying data collected by a big data energy consumption online monitoring system includes the following steps:

[0055] 1) Obtain fragments of energy consumption data collected by the online monitoring system;

[0056] 2) Preliminary processing of the data fragments to separate the highest and lowest values ​​in the data fragments;

[0057] 3) Objectify the preliminary processed data to obtain multiple data objects corresponding to the data collected by the line monitoring system;

[0058] 4) Perform cross-table rule verification on data objects corresponding to different data tables according to the cross-table rule verification method;

[0059] 5) Obtain the position of the data object that has not passed the validation of the cross-table rule in the data table to which it belongs;

[0060] 6) Extract the data that has not passed the cross-table rule verification, and store the data that has passed the cross-table rule veri...

Embodiment 3

[0075] Such as figure 1 As shown, a method for verifying data collected by a big data energy consumption online monitoring system includes the following steps:

[0076] 1) Obtain fragments of energy consumption data collected by the online monitoring system;

[0077] 2) Preliminary processing of the data fragments to separate the highest and lowest values ​​in the data fragments;

[0078] 3) Objectify the preliminary processed data to obtain multiple data objects corresponding to the data collected by the line monitoring system;

[0079] 4) Perform cross-table rule verification on data objects corresponding to different data tables according to the cross-table rule verification method;

[0080] 5) Obtain the position of the data object that has not passed the validation of the cross-table rule in the data table to which it belongs;

[0081] 6) Extract the data that has not passed the cross-table rule verification, and store the data that has passed the cross-table rule veri...

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Abstract

The invention discloses a verification method for data acquired by a big data energy consumption online monitoring system. The verification method comprises the following steps: 1) acquiring an energyconsumption data segment acquired by the online monitoring system; 2) performing preliminary processing on the data segment, and removing the highest value and the lowest value in the data segment; 3) performing objectification processing on the preliminarily processed data to obtain a plurality of data objects corresponding to the data acquired by the line monitoring system; 4) performing cross-table rule verification on data objects corresponding to different data tables according to a cross-table rule verification method; 5) obtaining the position of the data object which does not pass thecross-table rule verification in the data table; 6) extracting data which fails to pass the cross-table rule verification; and 7) giving an alarm and storing the data in a temporary database. The verification method of the data collected by the big data energy consumption online monitoring system can effectively verify the energy consumption data, and can ensure the accuracy of the database.

Description

technical field [0001] The invention relates to a method for verifying data collected by a big data energy consumption online monitoring system. Background technique [0002] Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain period of time. It is a massive, high-growth rate that requires a new processing model to have stronger decision-making power, insight and discovery, and process optimization capabilities. and diverse information assets. [0003] The energy consumption online monitoring system uses information technology to collect various energy consumption data in real time, uploads them to the upper-level energy consumption monitoring system or platform, performs statistics and analysis, and displays them systematically to managers or decision-makers in the form of intuitive data charts , to facilitate the understanding of real energy consumption data of public buildings, and timely...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/215G06F16/23
CPCY02D10/00
Inventor 梁鹏陈文泗邹村先罗铭强聂德键罗伟浩李辉张小青林丽荧
Owner GUANGDONG XINGFA ALUMINUM