Group renting identification method, device and equipment

Abstract

A group renting identification method, device and equipment, wherein and method comprises the steps of obtaining garbage delivery data of a target community within a preset duration, wherein the garbage delivery data is at least used for recording the delivery time, delivery card identification information and garbage can identification information of each garbage delivery; according to the garbage delivery data and the corresponding relationship between the house identification information and the delivery card identification information, determining the garbage delivery times of each house in the target community within a preset duration; and determining the houses of which the garbage delivery times are greater than a preset threshold value in a preset time length in the target community as suspected group rental houses. Whether a certain house generates a large amount of garbage or not is judged by counting the garbage delivery times, so that whether the actual population of the house is in a standard exceeding state or not is deduced, suspected group-rented houses can be timely and automatically found, the recognition efficiency of the group-rented houses and the judgment accuracy of the group-rented houses are improved, and related departments are helped to improve the group renting and renovation efficiency.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device and equipment for identifying group rental houses. 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. Specifically, by changing the structure and layout of the house, the room is divided and transformed into several small rooms, which are rented out by room or bed to multiple people, which is called group renting. However, this kind of group rental housing with a large population densely living in a small space, with a per capita living area of ​​only a few square meters and no basic living measures has various safety hazards, and at the same time has a greater impact on surrounding residents. [0003] At present, it is possible to determine whether a house is a group rental house by judging whether the water, electricity, and gas con...

AI Technical Summary

Problems solved by technology

However, this kind of group rental housing with a large population densely living in a small space, with a per capita living area of ​​only a few square meters and no basic living measures has various security risks, and at the same time has a greater impact on surrounding residents.

[0003] At present, it is possible to determine whether a house is a group rental house by judging whether the water, electricity, and gas consumption data of a certain house exceed the standard. However, this method relies on the meter reading data of water, electricity, and gas from multiple companies, and the collection is difficult. And the analysis cycle is long, which leads to low identification efficiency of group rental houses

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