Statistical-Based Control Points Selection for Indoor Illuminance Measurement

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00340942" target="_blank" >RIV/68407700:21230/20:00340942 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/20:00340942

Výsledek na webu

<a href="https://doi.org/10.1109/TIM.2020.2987635" target="_blank" >https://doi.org/10.1109/TIM.2020.2987635</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TIM.2020.2987635" target="_blank" >10.1109/TIM.2020.2987635</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical-Based Control Points Selection for Indoor Illuminance Measurement

Popis výsledku v původním jazyce

The distribution of indoor illuminance affects the health and the performance of humans, and is therefore subject to audits. Audits are performed after each modification of the light sources, and the currently adopted approach uses a human operator to perform measurements manually. This process is time-consuming, and we therefore aim to automate it with a mobile platform. In order to automate the process, we propose an online algorithm for selecting the control points. The algorithm is iterative, and it takes previous measurements into account in order to select the control points adaptively. We show how the proposed method can be combined with a mobile platform to perform the audit autonomously. Initially, the mobile platform, equipped with a laser range finder, is used to build the floor plan of the room. This floor plan is then used to restrict the area within which the control points can be selected. The whole measurement process is then executed without the presence or the intervention of a human operator, and this reduces the time needed for the audit. We have performed simulated and real experiments to demonstrate the performance of the proposed approach.

Název v anglickém jazyce

Statistical-Based Control Points Selection for Indoor Illuminance Measurement

Popis výsledku anglicky

The distribution of indoor illuminance affects the health and the performance of humans, and is therefore subject to audits. Audits are performed after each modification of the light sources, and the currently adopted approach uses a human operator to perform measurements manually. This process is time-consuming, and we therefore aim to automate it with a mobile platform. In order to automate the process, we propose an online algorithm for selecting the control points. The algorithm is iterative, and it takes previous measurements into account in order to select the control points adaptively. We show how the proposed method can be combined with a mobile platform to perform the audit autonomously. Initially, the mobile platform, equipped with a laser range finder, is used to build the floor plan of the room. This floor plan is then used to restrict the area within which the control points can be selected. The whole measurement process is then executed without the presence or the intervention of a human operator, and this reduces the time needed for the audit. We have performed simulated and real experiments to demonstrate the performance of the proposed approach.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Instrumentation and Measurement

ISSN

0018-9456

e-ISSN

1557-9662

Svazek periodika

69

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

8362-8371

Kód UT WoS článku

000571849100101

EID výsledku v databázi Scopus

2-s2.0-85091763994