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This article takes Shenzhen S project as an example, combined with cloud computing, discusses the quality acceptance and supervision methods of indoor construction projects. In the introduction to the technical part, this article first briefly introduces the definition of cloud computing and then introduces the particle swarm algorithm and traditional genetic algorithm in the cloud computing task scheduling method. The algorithm is introduced into the quality acceptance of indoor construction projects to obtain the quality, most efficient method for acceptance supervision. The experimental part of this article takes S project as the research object and the residents\u2019 satisfaction with the project as the experimental purpose. Finally, through statistical analysis, it is concluded that the residents\u2019 satisfaction with S project reaches more than 70%.<\/jats:p>","DOI":"10.1515\/jisys-2022-0056","type":"journal-article","created":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T21:41:50Z","timestamp":1656366110000},"page":"795-805","source":"Crossref","is-referenced-by-count":0,"title":["Supervision method of indoor construction engineering quality acceptance based on cloud computing"],"prefix":"10.1515","volume":"31","author":[{"given":"Jian","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Civil Engineering, Nanyang Normal University , Nanyang 473061 , Henan , China"}]}],"member":"374","published-online":{"date-parts":[[2022,6,27]]},"reference":[{"key":"2022120618433970422_j_jisys-2022-0056_ref_001","unstructured":"Srinivasamurthy S, Liu D. Survey on cloud computing security. 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