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A kind of housing idle classification calculation method and system

A calculation method and housing technology, applied in the field of housing vacancy classification calculation method and system, can solve problems such as the inability to accurately define and calculate housing vacancy, and achieve the effect of ensuring reliability

Active Publication Date: 2022-07-12
国家电网有限公司客户服务中心 +1
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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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  • A kind of housing idle classification calculation method and system
  • A kind of housing idle classification calculation method and system
  • A kind of housing idle classification calculation method and system

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Embodiment Construction

[0042] The principles and features of the present invention will be described below with reference to the accompanying drawings. The examples are only used to explain the present invention, but not to limit the scope of the present invention. It should be noted that the embodiments of the present application and the features in the embodiments may be combined with each other under the condition of no conflict.

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

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

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Abstract

The invention relates to a method and system for calculating the classification of housing idleness. The method comprises: acquiring non-zero daily electricity consumption data of a house according to housing electricity consumption information, and using the daily non-zero daily electricity consumption data of the house as valid daily electricity consumption; according to the standby threshold of daily electricity consumption of the house and the effective daily electricity consumption, determine the number of idle days of the house within the set time length; according to the number of idle days of the house within the set time length, Determine the housing vacancy rate for the housing. By adopting the scheme of the present invention, the production and construction of electric power facilities by the electric power department can be effectively guided. At the same time, according to different types of housing vacancies, relevant units can conduct in-depth analysis and formulate relevant policies on the real estate market in a timely manner.

Description

technical field [0001] The invention relates to the technical field of housing idleness judgment, in particular to a method and system for classifying and calculating idle housing. Background technique [0002] In the prior art, electricity operation monitoring projects mainly focus on improving the internal efficiency of enterprises, and relatively lack of electricity consumption monitoring for the government and enterprises, and do not give full play to the "big data" supporting role of the State Grid. The analysis of residential vacancy rate based on 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 actual monitoring work, a series of specific results have also been achieved, which are worthy of promotion and promotion. application. [0003] The topic of vacancy and excessive vacancy in my country's property market has been frequently mentioned. Among them, vacant ho...

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Application Information

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Patent Type & Authority Patents(China)
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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