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Residential housing vacancy rate analysis method based on electric power big data

An analysis method and vacancy rate technology, applied in the direction of digital data processing, data processing application, digital data information retrieval, etc., can solve the problems that cannot reflect the vacancy situation of residential houses, etc., achieve high effectiveness, reduce manpower and material resources, and simplify statistics quick effect

Inactive Publication Date: 2020-07-28
GUANGDONG POWER GRID CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In view of the current statistics and analysis of the vacancy rate of residential housing, the overall housing vacancy rate is analyzed based on paper materials or random samples submitted by residents and real estate. The data has problems of authenticity and accuracy, and cannot reflect the residents of a city. housing vacancy

Method used

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  • Residential housing vacancy rate analysis method based on electric power big data
  • Residential housing vacancy rate analysis method based on electric power big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] Such as figure 1 As shown, a residential housing vacancy rate analysis method based on electric power big data includes the following steps:

[0038] S11: Enter "Start";

[0039] S12: Obtain the user equipment organization tree from the power grid GIS platform, display it on the interface in a bureau-station-station-line hierarchical structure, and automatically associate it;

[0040] S13: Obtain key user information from the power metering platform;

[0041] S14: From the "user type", select the type as "resident" and put it into the database; select valid data from the "user file creation time" and put it into the database; extract and analyze the monthly power of the user from the "user power", and put into the database;

[0042] S15: The data put into the database through S14, according to the judgment condition of "vacant resident user", judge whether the resident user condition is satisfied, and enter S16 if the condition is met, and "not included in the statis...

Embodiment approach

[0046] For whether there are vacant residents, such as figure 2 , the present invention provides a flow chart of a method for judging vacant resident users. The specific implementation method is as follows:

[0047] S18: Enter "Start";

[0048] S19: Whether the user type belongs to "resident", if so, go to S20; if not, "not included in statistics";

[0049] S20: Determine whether the user's file creation time is greater than 1 year, and if so, proceed to S21; if not, then "not included in the statistics";

[0050] S21: Determine whether the user's electricity consumption in each month for one consecutive year is less than the threshold value of "resident user electricity", if so, go to S22; if not, "not included in statistics";

[0051] S22: Determine whether the user has been unable to collect electricity for more than 3 months in a continuous year in the database, if yes, "not included in statistics"; if not, enter S23;

[0052] S23: Define the data as "vacant resident u...

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PUM

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Abstract

The invention provides a resident housing vacancy rate analysis method based on electric power big data, and the method is high in accuracy and effectiveness through employing electric quantity as a core, as a judgment rule and non-paper or sampling statistical data of resident vacancy, and employing the electric quantity as the judgment of the resident housing vacancy. According to the analysis method based on the electric power big data, buildings, lines and areas to which resident users belong are automatically associated, simple analysis and analysis object change are facilitated, the resident vacancy rate condition can be analyzed immediately by adjusting a threshold value, and statistics is simpler and faster. The vacancy rate of the existing residential housing is counted by using the power consumption, so that unscientific and tedious statistical algorithms can be reduced, a large amount of manpower and material resources required by statistics are reduced, and an open, shared,simple and convenient sustainable scientific statistical mode is established.

Description

technical field [0001] The invention relates to the technical field of electric power big data application, and more specifically, to a method for analyzing the vacancy rate of residential houses based on electric power big data. Background technique [0002] Residential housing vacancy rate is a key indicator to measure the health of urban housing and even economic development, and it is also an indicator that local governments and even the central government are more concerned about. In view of the current statistics and analysis of the vacancy rate of residential housing, the overall housing vacancy rate is analyzed based on paper materials or random samples submitted by residents and real estate. The data has problems of authenticity and accuracy, and cannot reflect the residents of a city. Housing vacancy. Contents of the invention [0003] The invention provides a method for analyzing the vacancy rate of residential houses based on electric power big data with stron...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/16G06Q50/26G06F16/2457
CPCG06Q10/0639G06Q50/16G06Q50/26G06F16/2457Y04S10/50Y02D10/00
Inventor 汤志锐吴海江唐鹤邝梓佳邱桂华吴树鸿梁若生孔庆耀龙田广杨忠藩
Owner GUANGDONG POWER GRID CO LTD
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