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Housing idleness classification calculation method and system

A calculation method and housing technology, applied in the housing vacancy classification calculation method and system field, can solve the problem that housing vacancy cannot be accurately defined and calculated, and achieve the effect of ensuring reliability

Active Publication Date: 2021-01-22
国家电网有限公司客户服务中心 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a housing vacancy classification calculation method and system, which solves the problem that housing vacancy cannot be accurately defined and calculated in the prior art

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  • Housing idleness classification calculation method and system
  • Housing idleness classification calculation method and system
  • Housing idleness classification calculation method and system

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Embodiment Construction

[0042] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0043] Under the "Internet +" new business ecology, the boundaries of the industry are constantly being redefined, and cross-border innovation has become the consensus of more and more far-sighted companies. Against this background, the State Grid Customer Service Center analyzes the residential vacancy in the region based on relevant service data such as electricity consumption by power customers and combined with some external data.

[0044] Idle housing can be mainly used for second-hand housing transactions and renting, and the analysis of idle housi...

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Abstract

The invention relates to a housing idleness classification calculation method and system, and the method comprises the steps: obtaining non-zero daily power consumption data of a housing according tohousing power consumption information, and enabling the daily non-zero daily power consumption data of the housing to serve as the effective daily power consumption; determining the number of idle days of the house within a set time duration according to a standby threshold value of the daily electricity consumption of the house and the effective daily electricity consumption; and determining thehousing idleness rate of the housing according to the number of idle days of the housing within the set time length. By adopting the scheme of the invention, the production and construction of electric power facilities by electric power departments can be effectively guided. Meanwhile, according to different housing idle types, related units can deeply analyze and timely formulate related policiesof the real estate market.

Description

technical field [0001] The invention relates to the technical field of house vacancy judgment, in particular to a method and system for classifying and calculating house vacancy. Background technique [0002] In the existing technology, electricity operation monitoring projects mainly focus on improving the internal efficiency of enterprises, relatively lack of electricity consumption monitoring for the government and enterprises, and do not give full play to the supporting role of "big data" of the State Grid. The analysis of residential vacancy rate based on electric power big data focuses on the market. This is an operation monitoring method that converts the data advantages of the power grid into market advantages. In the actual monitoring work, a series of specific results have also been achieved, which are worthy of promotion and promotion. application. [0003] The topic of idleness and high idleness in my country's property market has been repeatedly mentioned. Amon...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06Q50/16
CPCG06Q10/06393G06Q50/06G06Q50/16Y04S10/50
Inventor 宫立华田诺刘鲲鹏朱克王佳佳马永波黄诗剑
Owner 国家电网有限公司客户服务中心
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