Group-oriented leasing analysis method based on life data

A technology of life data and analysis methods, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as inability, poor efficiency, and inability to obtain group rental information in time, so as to improve management efficiency and satisfy users. Requirements from all parties, the effect of improving user-friendly experience

Inactive Publication Date: 2014-10-29
SHANGHAI BOLU INFORMATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The government currently restricts the occurrence of group renting through various laws and regulations. However, due to ineffective monitoring methods, mainly through street or property visits and reports from the masses, ...

Method used

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  • Group-oriented leasing analysis method based on life data
  • Group-oriented leasing analysis method based on life data

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Embodiment Construction

[0035] The present invention will be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the invention are illustrated.

[0036] In order to achieve the above purpose, a group rental analysis method based on living data is proposed.

[0037] Embodiments of the present invention are described below in conjunction with the accompanying drawings

[0038] The key points to implement a group rent analysis method based on living data are as follows:

[0039] Data collection and import:

[0040] By connecting with various charging system platforms and through the data access interface, periodically obtain the charging raw data of the living information charging platform, including time, province, city, district, community, unit, and the consumption information of living materials in the current month, and collect these raw data Go to the system platform, and on the system platform, according to the required fields of t...

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Abstract

The invention discloses a group-oriented leasing analysis method based on life data. The group-oriented leasing analysis method based on life data includes the steps of data acquisition, data model establishment and statistic analysis. A data model comprising various life data dimensionalities is established, and the dimensionalities include the province, the city, the district, the community, the using types such as tap water, electricity and coal gas, and the using time such as the year and the month; the life data of community units are acquired periodically; historical statistics and analysis are performed on the life data generated by using water, electricity and coal in the community units, the community and the city through the data model and a statistic tool; statistic indexes of all the dimensionalities of the current month and historical data are acquired and include the average value, the expectation value, the variance, the distribution intervals and the like; an early warning is given about the community units with abnormal data or the community units distributed in the abnormal intervals, and the possibility of group-oriented leasing is prompted. The life data are analyzed through data modeling and the statistic tool, and the group-oriented leasing early warning analysis method easy and fast to use is provided.

Description

technical field [0001] The present invention relates to the technical fields of statistics and computer software, and more specifically, relates to a group rental analysis method based on living data. Background technique [0002] With the development of society, the population of big cities is increasing, and group renting has become a common phenomenon in big cities. Due to the environment of group renting houses and the economic capabilities of lessees, the environment of group renting houses is poor and there are various safety hazards. At the same time, it has a greater impact on the surrounding residents. [0003] Therefore, the government often cleans up various group rentals to prevent various safety accidents. Due to the huge size of the city and the large population, it is difficult to manage it in place in time. Security incidents caused by group renting. [0004] The government currently restricts the occurrence of group renting through various laws and regulat...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 顾健
Owner SHANGHAI BOLU INFORMATION TECH
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