{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:27:30Z","timestamp":1760149650644,"version":"build-2065373602"},"reference-count":36,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T00:00:00Z","timestamp":1692057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62172021"],"award-info":[{"award-number":["62172021"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The indoor environment is typically a complex time-varying environment. At present, the problem of indoor modeling is still a hot research topic for scholars at home and abroad. This paper primarily studies indoor time-varying space. On the basis of the Beidou grid framework and time coding model, in the first scenario, a local space subdivision framework based on Beidou is proposed. The necessity of local space subdivision framework is analyzed. In the second scenario, based on the time coding model needle, a local temporal subdivision model, more suitable for a short time domain, is proposed. Then, for the spatial modeling of an indoor time-varying environment, an indoor time-varying mesh frame based on global subdivision, local space subdivision, and local time subdivision is proposed. Using this framework, the indoor environment is represented by the space\u2013time grid, and the basic storage data structure is designed. Finally, the experiment of local subdivision coding in the indoor space\u2013time grid, indoor space\u2013time grid modeling, and an organization experiment is carried out using real data and simulation data. The experimental results verify the feasibility and correctness of the encoding and decoding algorithm of local subdivision encoding in space\u2013time encoding and the calculation algorithm of the space\u2013time relationship. The experimental results also verify the multi-space organization and the management ability of the indoor space\u2013time grid model.<\/jats:p>","DOI":"10.3390\/rs15164037","type":"journal-article","created":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T11:09:44Z","timestamp":1692097784000},"page":"4037","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Digital Grid Model for Complex Time-Varying Environments in Civil Engineering Buildings"],"prefix":"10.3390","volume":"15","author":[{"given":"Huangchuang","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, China"},{"name":"Pengcheng Laboratory, Shenzhen 518055, China"}]},{"given":"Ge","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,15]]},"reference":[{"key":"ref_1","first-page":"49","article-title":"Visual odometer based on deep learning in dynamic indoor environment","volume":"44","author":"Li","year":"2023","journal-title":"J. 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