Bonjour \u00e0 tous, <\/p>\n\n\n\n
Aujourd’hui, un post un peu sp\u00e9cial, car il s’agit de la publication des articles produits par les \u00e9l\u00e8ves de 3\u00e8me ann\u00e9e les projets ICT for Smart Grids and Smart Cities de la fili\u00e8re SEM l’Ense3. Dans les jours \u00e0 venir, je mettrai en avant certains articles en les transformant en post \u00e0 part enti\u00e8re.<\/p>\n\n\n\n
Je vous souhaite une bonne lecture, <\/p>\n\n\n\n
J\u00e9r\u00f4me Ferrari<\/p>\n\n\n\n
X Projet 1: Occupancy Estimation in a room using C02 Sensor <\/p>\n\n\n\n
Auteurs<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n The concept of smart house has gained increasing attention in the past years. Rapport<\/strong><\/p>\n\n\n\n Code<\/strong><\/p>\n\n\n\n xProjet 2: Security risk on a smart home<\/p>\n\n\n\n Auteur<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n The Internet of Things (IoT) has arrived to change the life of humanity. Its purpose is connecting Article<\/strong><\/p>\n\n\n\n Code<\/p>\n\n\n\n xProjet 3: Occupancy estimation and forecasting for energy savings.<\/p>\n\n\n\n Auteurs<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n With the new climate incentives European countries are looking for carbon neutrality in 2050. The building sector is responsible for almost 40% of the primary energy consumption. If building renovation and using energy efficient systems, the IEA in Annex 66 relates that the energy efficient efforts can not go without a behavioural change from the occupants. Optimistically occupants can become more and more sober in their energy consumption, but the transition will not be that easy. The goal of this miniproject is to create an interactive application based on a predictive controller that enables energy savings but also awareness raising for occupants. The predictive controller needs to be able to forecast the occupancy based on machine learning techniques. The study is based on the Smart ExpHouse platform of Grenoble laboratory G2eLab.<\/p>\n\n\n\n Rapport<\/strong><\/p>\n\n\n\n Code<\/strong><\/p>\n\n\n\n xProjet 4: Weather conditions and television use. Smart Home case study<\/p>\n\n\n\n Auteur<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n This study proposes a graphical analysis over the impact of daily atmospheric weather conditions on daily television use in a regular household equipped with smart sensors. The aim of the study was to investigate the effect of daily weather changes on people consumer habits. It is proposed, considering the mood and mood management theory that inclement and uncomfortable weather conditions are associated with lower human mood and therefore watching entertainment may serve to repair such feelings. Thus, in times of harsh weather conditions the television programs consumption is supposedly increased. It will be studied how data coming from smart sensors can be graphically used to raise awareness over media consumption habits and how they can be used to help users track their activity in a meaningful way. This thesis is put up to test by using real measurements for television usage, temperature, sunshine and rain.<\/p>\n\n\n\n Article<\/strong><\/p>\n\n\n\n x Projet 5: \u00c9tude de la teneur en CO2 au sein d\u2019une habitation classique<\/p>\n\n\n\n Auteur<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n Dans le cadre de cette derni\u00e8re p\u00e9riode, les personnes ont \u00e9t\u00e9 amen\u00e9es \u00e0 rester longtemps Article<\/strong><\/p>\n\n\n\n Code<\/strong><\/p>\n\n\n\n Projet 6: Mise en place d\u2019un capteur de temp\u00e9rature de l\u2019eau d\u2019une serre<\/p>\n\n\n\n Auteurs<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n La ma\u00eetrise de l\u2019\u00e9nergie dans les b\u00e2timents est une cl\u00e9 de la r\u00e9ussite de la transition Article<\/strong><\/p>\n\n\n\n Code<\/strong><\/p>\n\n\n\n Projet 7: Mise en place d\u2019un capteur de niveau d\u2019eau d\u2019une serre<\/p>\n\n\n\n Auteurs<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n Une serre aquaponique situ\u00e9e sur le toit du batiment GreenEr a besoin d’avoir un contr\u00f4le du niveau du bassin afin d’assurer le bien-\u00eatre des poissons. Cet article a pour but de montrer la chaine d’acquisition et de transmission de la mesure du niveau d’eau. <\/p>\n\n\n\n Article<\/strong><\/p>\n\n\n\n Projet 8: Mise en place capteur temp\u00e9rature eau serre<\/p>\n\n\n\n Auteurs<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n Une serre aquaponique situ\u00e9e sur le toit du batiment GreenEr a besoin d’avoir un monitoring d\u2019une serre aquaponique en analysant les donn\u00e9es d\u2019un capteur de temp\u00e9rature dans l\u2019eau. Cet article a pour but de montrer la chaine d’acquisition et de transmission de la mesure de la temp\u00e9rature.<\/p>\n\n\n\n Article<\/strong><\/p>\n\n\n\n Projet 9: Monitoring Cluster MHI<\/p>\n\n\n\n Auteurs<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n La Data Science est au coeur de la transition \u00e9nerg\u00e9tique dans tous les secteurs d\u2019activit\u00e9s Article<\/strong><\/p>\n\n\n\n Projet 10: Tiny House<\/p>\n\n\n\n Auteurs<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n Dans ce mini projet, nous allons piloter la maquette Tiny House ci-dessous en mettant en Article<\/strong><\/p>\n\n\n\n Projet 11: Projet de cr\u00e9ation d\u2019une valise de diagnostic \u00e9nerg\u00e9tique<\/p>\n\n\n\n Auteurs<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n Le but de ce projet est d\u2019\u00e9laborer une valise de diagnostic \u00e9nerg\u00e9tique. Celle-ci Article<\/strong><\/p>\n\n\n\n Projet 12: Capteur de temp\u00e9rature serre<\/p>\n\n\n\n Auteurs<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n Lors de ce projet, nous avons pour objectif de mettre en place un capteur de temp\u00e9rature serre. Article<\/strong><\/p>\n\n\n\n Projet 13: Data analysis of a smart house, The person number determination in a room with CO2 sensor<\/p>\n\n\n\n Auteur<\/strong><\/p>\n\n\n\n R\u00e9sum\u00e9<\/strong><\/p>\n\n\n\n The measurement of CO2 concentration is a relevant indicator for defining the occupation of indoor spaces. The real-time knowledge of occupation of such spaces is relevant both for maintaining indoor air quality standards and for energy efficiency purposes connected with the operation of heating, ventilation, and air-conditioning (HVAC) systems. The exact knowledge of occupation allows for rapid feedback from and the regulation of an HVAC system and the ventilation rate. Interesting applications include educational buildings and other buildings of the civil sector (e.g., shopping centres and hospitals). Article<\/p>\n\n\n\n FIN<\/p>\n","protected":false},"excerpt":{"rendered":" Bonjour \u00e0 tous, Aujourd’hui, un post un peu sp\u00e9cial, car il s’agit de la publication des articles produits par les…<\/p>\n","protected":false},"author":1,"featured_media":1609,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[60],"tags":[80],"class_list":["post-1570","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bureaux-detudes","tag-bureaux-detude"],"_links":{"self":[{"href":"https:\/\/miniprojets.net\/index.php\/wp-json\/wp\/v2\/posts\/1570","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/miniprojets.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/miniprojets.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/miniprojets.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/miniprojets.net\/index.php\/wp-json\/wp\/v2\/comments?post=1570"}],"version-history":[{"count":0,"href":"https:\/\/miniprojets.net\/index.php\/wp-json\/wp\/v2\/posts\/1570\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/miniprojets.net\/index.php\/wp-json\/wp\/v2\/media\/1609"}],"wp:attachment":[{"href":"https:\/\/miniprojets.net\/index.php\/wp-json\/wp\/v2\/media?parent=1570"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/miniprojets.net\/index.php\/wp-json\/wp\/v2\/categories?post=1570"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/miniprojets.net\/index.php\/wp-json\/wp\/v2\/tags?post=1570"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
Information technology tools have been adopted in modern buildings such as wireless sensor
networks, data analytics, IoT i.e. The internet of things and machine learning concepts. By
integrating the concept of smart buildings, we can achieve a perfect energy efficiency as well as
electrical devices monitoring. In this experiment, we are going to investigate the occupancy in a
room and estimate the number of people using a CO2 sensor network. The concentration of
CO2 in a room is a good indicator of the number of people in this room. Data collection is going
to be performed and we will be able to visualize all the data coming from the sensors using
Grafana. We are going to visualize and analyze this data in order to correctly address this
problem. Finally we will make a conclusion about this analysis.<\/p>\n\n\n\n\n
every electronic device used. Thus, giving the user the ability to control every electronic item
in his surroundings, from turning on the TV to locking doors or changing heating temperature.
Everything is connected through internet into a single controller, giving the user a total control of
his home.
Smart homes are designed to provide a better quality life to the user and even to promote a
responsible energy consumption. According to the results obtained by the Schlage’s Industry
Insight Survey [1], the 86 % of the young population would be willing to pay more rent to live in
a smart house. Even the 44 % of them would exchange a parking lot for living in a smart home.
Therefore, Smart Homes promises to have a bright future.
Although, IoT brings great bene\fts it can not be forgotten the possibles risks that comes associated
to it. The data stored from the devices contains crucial information about the users. The stored
data from the electronic devices can be used to detect patterns in the behaviour and suppose a
risk to the security. This make the user vulnerable to cyber attacks, that could derive on physical
robberies in home users.
The purpose of the present project is to analyse the limits of security in smart homes, and discover
how easily could be to identify the patterns of behaviour of a smart home user. This project wants
to rise a warning about the risk that can bring an inadequate use of the stored data.<\/p>\n\n\n\n\n
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confin\u00e9es chez elles. Il est d\u00e8s lors d\u2019autant plus important de s’assurer que le domicile soit
un endroit sain. Cet article pr\u00e9sente une \u00e9tude de la qualit\u00e9 de l\u2019air d\u2019une maison familiale
classique qui a accept\u00e9 de doter son domicile de nombreux capteurs (projet
EXPE-Smarthouse) dont les donn\u00e9es sont accessibles en open-source. Il sera question
d\u2019\u00e9tudier la variation du taux de CO2 au cours de la journ\u00e9e.<\/p>\n\n\n\n\n
\u00e9nerg\u00e9tique. Pour cela la domotique est tr\u00e8s utile, car elle permet de monitorer les consommations d\u2019un
b\u00e2timent puis de le piloter intelligemment \u00e0 distance. Le syst\u00e8me mis en oeuvre dans cette \u00e9tude, utilisant
un LoPy, le module LoRa, le serveur The Things Network (TTN) et une Raspberry Pi permet de cr\u00e9er un
syst\u00e8me de domotique peu cher, puissant et facile \u00e0 prendre en main. Il permet de r\u00e9cup\u00e9rer des donn\u00e9es
de temp\u00e9rature d\u2019un capteur gr\u00e2ce \u00e0 la LoPy, de transmettre les donn\u00e9es par wifi \u00e0 un serveur TTN gr\u00e2ce
au module LoRa, puis de stocker les donn\u00e9es sur InfluxDB, et enfin de les visualiser et traiter sur Grafana.<\/p>\n\n\n\n\n
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(Industrie 4.0, tertiaire,\u2026). De la meilleure gestion de la production et consommation au
limitations des pertes du moindre syst\u00e8me \u00e9nerg\u00e9tique, ils ont une place majeure dans le
domaine de l\u2019\u00e9nergie. Dans ce bureau d\u2019\u00e9tudes, nous allons \u00e9tudier le fonctionnement d\u2019un
capteur et tenter de r\u00e9aliser un sc\u00e9nario avec ce dernier.<\/p>\n\n\n\n\n
place d\u2019un IPX800 V4, d\u2019une Raspberry Pi et des capteurs. La visualisation et le pilotage
seront r\u00e9alis\u00e9s par le logiciel Jeedom.<\/p>\n\n\n\n\n
regroupe plusieurs capteurs n\u00e9cessaires pour \u00e9tudier la performance \u00e9nerg\u00e9tique d\u2019un
logement. Dans le cadre de notre projet, nous allons cr\u00e9er une valise de diagnostic
\u00e9nerg\u00e9tique avec des capteurs fixes, utilisables de mani\u00e8re autonome. Nous int\u00e9grons des
capteurs de temp\u00e9rature, de luminosit\u00e9, de mouvement, d\u2019ouverture de porte et fen\u00eatre, de
qualit\u00e9 d\u2019air et des ampoules connect\u00e9es. Cette valise est principalement \u00e0 destination des
m\u00e9nages. Elle peut \u00e9ventuellement \u00eatre utilis\u00e9e dans le secteur tertiaire. En revanche, elle
ne sera pas du tout adapt\u00e9e au secteur industriel.<\/p>\n\n\n\n\n
Nous allons ensuite essayer d\u2019exporter les donn\u00e9es captur\u00e9es par ce capteur et les visualiser sur
Grafana.<\/p>\n\n\n\n\n
However, CO2 generation rates can be derived from well\u2010established concepts within the fields of human metabolism and exercise physiology, which relate these rates to body size and composition, diet, and level of physical activity.
In paper some graphical trends of the CO2 concentrations in indoor spaces are provided to determine the most important variables affecting such concentrations.<\/p>\n\n\n\n