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Water consumption analysis method combined with real-time meter reading big data and storage medium

An analysis method and big data technology, applied in data processing applications, structured data retrieval, special data processing applications, etc., can solve the problems of lack of management platforms and data analysis algorithms for massive data, so as to provide efficiency and ensure integrity Effect

Pending Publication Date: 2022-02-25
FU ZHOU INTERNET OF THINGS OPEN LAB
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Problems solved by technology

[0003] To this end, it is necessary to provide a water analysis method and storage medium combined with real-time meter reading big data to solve the problem that traditional water companies lack matching management platforms and data analysis algorithms for generating massive data

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  • Water consumption analysis method combined with real-time meter reading big data and storage medium
  • Water consumption analysis method combined with real-time meter reading big data and storage medium
  • Water consumption analysis method combined with real-time meter reading big data and storage medium

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Embodiment Construction

[0049] In order to explain in detail the technical content, structural features, achieved goals and effects of the technical solution, the following will be described in detail in conjunction with specific embodiments and accompanying drawings.

[0050] see figure 1 , the present embodiment provides a water analysis method combined with real-time meter reading big data, comprising the following steps:

[0051] Step S110: Obtain water meter data collected by each smart water meter; wherein, the water meter data includes user number, collection time, water consumption, and the like.

[0052] Step S120: Deduplicate the obtained water meter data to obtain valid data; in the tens of billions of historical big data, there is data duplication. In order to ensure the integrity of the data and the correctness of the statistical and analytical data, it is necessary to Data is deduplicated. Obtain valid data through deduplication operations.

[0053] Step S130: Analyze and obtain the ...

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Abstract

The invention relates to a water consumption analysis method combined with real-time meter reading big data and a storage medium. The method comprises the following steps: acquiring water meter data acquired by each intelligent water meter; performing duplicate removal on the obtained water meter data to obtain effective data; and analyzing according to the obtained effective data to obtain the water consumption condition of the user. Water meter data collected by the intelligent water meter are obtained, duplicate removal operation is conducted on the obtained water meter data, effective data are obtained, and then the water use condition of a user is obtained through analysis according to the obtained effective data. By combining the water meter data collected by the intelligent water meter, deduplication operation is firstly carried out to ensure the integrity of the data and the correctness of statistical and analysis data, and then the water consumption condition of a user is analyzed according to effective data, so that mining analysis on mass data collected by the intelligent water meter is realized; and meanwhile, a large amount of manpower for analyzing the mass data is saved, and the data analysis efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent water affairs, in particular to a water analysis method combined with real-time meter reading big data and a storage medium. Background technique [0002] Smart water is a very important part of the new smart city infrastructure construction. Smart water meters are often installed and deployed on a large scale in the order of hundreds of thousands or even millions in urban water construction. Smart water meters can report in real time through wired or wireless networks. The data solves the problem of manual meter reading at residents' homes every month, saving a lot of time and labor costs. However, because the collection frequency of meter reading data is shortened to days or even minutes, traditional water companies lack matching management platforms and data analysis algorithms for the resulting massive data, and lack the value mining, analysis and application of big data. Contents of the...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F16/22G06F16/2458G06F40/18
CPCG06Q10/0639G06Q50/06G06F40/18G06F16/2282G06F16/2462
Inventor 林强王博张天辰游婷婷杨德霏康凯
Owner FU ZHOU INTERNET OF THINGS OPEN LAB
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