کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6479258 1428374 2017 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using multi-robot active olfaction method to locate time-varying contaminant source in indoor environment
ترجمه فارسی عنوان
با استفاده از روش غربالگری فعال چند ربات برای تعیین منبع آلودگی متغیر زمان در محیط داخلی
کلمات کلیدی
التهاب فعال منبع آلودگی زمان متغیر، چند ربات،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


- The multi-robot active olfaction method integrates PSO with time-varying contaminant source localization.
- The time-varying characteristic of contaminant source is fully considered.
- The method can locate time-varying contaminant source through several robots in short time.
- The applicability and reliability of the method were tested through a case study in different indoor environments.

Prevention of indoor contaminant source leak disasters is becoming an urgent issue in the indoor environment and public safety fields. Quickly locating such a source is a prerequisite for effective implementation of source control, and a key basis for further guidance on evacuation and emergency rescue. Indoor contaminant sources have many forms because of source characteristic variation. The current research focuses on continuous release from a source with constant intensity and instantaneous release from a source with impulse intensity. There are few studies of sources with varying release intensity. The main goal of the present research study was to develop a source localization method for a time-varying source. A computational fluid dynamics model of leakage for an indoor time-varying contaminant source is established, together with a search strategy using multi-robot active olfaction. Based on the time-varying leakage source localization method, the robots are used to verify method effectiveness through indoor two-dimensional ventilation room simulation experiments. The influence of factors such as intensity change, position and obstacles on the localization is analyzed, which provides a foundation for further study of contaminant source identification in an unsteady flow field.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Building and Environment - Volume 118, June 2017, Pages 101-112
نویسندگان
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