Smart house-keeping management system based on cloud computing and working method thereof

Abstract

The invention discloses a smart house-keeping management system based on cloud computing and the working method thereof. The system comprises an enterprise-level user terminal and an ordinary personal user terminal. The enterprise-level user terminal comprises a product configuration module, a product registration module, a product detail management module, a product related configuration module, a portal management module, a sales finance management module and a delivery manager management module. The ordinary personal user terminal comprises a settlement module, a user information module, a house-keeping service module, a data report check module and a data navigation module. In the invention, the basic cloud adaptive genetic algorithm crossover operator is adopted, the operation cost of the house-keeping management system is minimized, and the timely and accurate processing of the uncertain information is realized. The cloud-computing-based method proposed by the invention improves the convergence speed of the optimal solution, increases the search scope of the global optimal solution, reduces the running time and cost of the smart housekeeping system, improves the operating efficiency of the system and shortens the response time.

Description

technical field [0001] The invention relates to a smart housekeeping system platform and method, in particular to a smart housekeeping system platform and method based on the combination of cloud computing technology and intelligent quantum algorithm, belonging to the technical field of cloud computing technology and Internet application management. Background technique [0002] With the development of cloud computing and Internet technology, more and more O2O platforms and APP systems based on cloud platforms and Internet have emerged, which bring convenience to people's lives. For example, APP-based commodity procurement management, social security payment management, property fee, water and electricity fee management system, etc. In these application systems, since various types of data are scattered and disorderly, how to effectively collect and reasonably classify user data, and push data information that needs to be managed in a timely manner and track data to users ac...

AI Technical Summary

Problems solved by technology

[0005] 1. The algorithm steps of the intelligent calculation appointment time and cost reminder function adopted in the existing system are complicated;

[0006] 2. Excessive running time and running costs are required, and the results are not accurate enough;

[0007] 3. It is difficult to effectively predict and provide reference for future behavior through data extraction and regular information, lacking scientific prediction ability

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