ArtsAutosBooksBusinessEducationEntertainmentFamilyFashionFoodGamesGenderHealthHolidaysHomeHubPagesPersonal FinancePetsPoliticsReligionSportsTechnologyTravel

Details Of The Automation Home Schematic Diagram

Updated on December 8, 2017

To achieve my goals in the development of the Automation Home with App Iventor 2 we can use several solutions both hardware and software, in my case I found the following solutions to develop this project simulator and I describe it below:

1. Fan
Through the cell application I activate and deactivate a relay to start the fan. In this case I use a transistor to amplify the pulse of the Arduino board and in this way I can power a 5V relay and that closes the circuit where the fan is powered with a 9 VDC source.

2. Servo
Through the cell application I activate and deactivate a servo that helps me open and close a door. When I press the key to open the door, then my servo turns from 5 to 180 degrees. When I press the key to close the door, my servo rotates 180 degrees to 5 degrees. Depending on the design you make with your door, it is how the degrees you can modify the source code will be. In a real situation I would use the servo to open and close the door lock unless it has a servo large enough and more torque to open and close the door.

3. PIR Motion Sensor
Through the cell application I activate and deactivate the "PIR Motion Sensor" that helps me activates a buzzer when it detects a strange human presence. In this case I am feeding the PIR and the buzzer with the same pulse voltage from the Arduino board and it was not necessary to feed them with an external voltage source. When the buzzer is activated, it sends a pulse to the transistor so that it in turn activates a buzzer with five volts. You can modify the distance and the time of the pulse by means of two potentiometers that the PIR sensor has.

4. MQ2 Gas Sensor
Through the "MQ2 Gas Sensor" I can detect gas leaks in the kitchen. This sensor is powered directly by the Arduino board and provides an analog voltage that depends on the amount of gas in the environment. The analog voltage is sampled at the analog port A0 and when it exceeds the value of 500 then it activates and blinks the kitchen LED and sends the data to the application of our cell phone.

5. DHT11 Humidity Sensor
Through the cell application I activate and deactivate the "DHT11 Humidity Sensor" that helps me measures the relative humidity and temperature in the bathroom. This sensor measures and sends the values ​​to the cell phone application and we can see them in real time.

6. LDR Night Sensor
Through the application of the cell phone I activate and deactivate the "LDR Night Sensor" that I use to light the exterior lamps of my house when we find ourselves in total darkness. In this case I use a transistor to amplify the pulse of the Arduino board and in this way I can power a relay of 5V and that it closes the circuit that feeds several LED diodes with a 9 VDC source.

7. LED Light Illumination
Through the cell application I activate and deactivate the LED diodes which are being powered by the Arduino board. I am using LED diodes to simulate the lighting of a house's lamps: living room, bedroom, bathroom and kitchen. In a real situation we would use these pulses to activate lamps and depending on their technical specifications we would use different solutions. For example, if the lamps were less than 10 VDC then we would use the L293B driver, if the lamps were 110 VAC we would use relays.

8. Speech Recognizer
Through the cell application I activate and deactivate the "Speech Recognizer" which serves me to perform the same orders of the previous seven steps but using the human voice. The Speech Recognizer records the voice, digitizes it and sends it to a Google server which translates the audio and converts it into data or words. These words are returned to the cell phone application and I programmatically compare them with the words programmed to activate orders. You must have in mind that sometimes the voice is poorly translated and the order is not activated. To solve this problem I had to practice with several words until getting the best results even if grammatically is not correct. You can change these keywords in the code so that you have better results.

Next I show the keywords that I use and its meaning I put it to the right of each of them:

“home on” = open the door

“home out” = close the door

“bedroon on” = turn on the bedroom light

“bedroom out” = turn off the bedroom light

“bathroom on” = turn on the bathroom light

“bathroom out” = turn off the bathroom light

“kitchen on” = turn on the kitchen light

“kitchen out” = turn off the kitchen light

“door open” = open the door

“door close” = close the door

“fan on” = turn on the fan switch

“fan out” = turn off the fan switch

“Sound on” = turn on the PIR Motion Sensor

“Sound out” = turn off the PIR Motion Sensor

“light on” = turn on the LDR Night Sensor

“light out” = turn off the LDR Night Sensor

Note: If you want to analyze and / or modify the source code of this project, then I suggest you put the following in the google search: MIT App Inventor 2. You can access this site with a gmail google account and you can load the source code with extension aia to be able to start working with it.

Finally I have no more to thank your attention and patience to my document and I hope it is enough to satisfy your doubts and concerns about this project.

working

This website uses cookies

As a user in the EEA, your approval is needed on a few things. To provide a better website experience, hubpages.com uses cookies (and other similar technologies) and may collect, process, and share personal data. Please choose which areas of our service you consent to our doing so.

For more information on managing or withdrawing consents and how we handle data, visit our Privacy Policy at: https://corp.maven.io/privacy-policy

Show Details
Necessary
HubPages Device IDThis is used to identify particular browsers or devices when the access the service, and is used for security reasons.
LoginThis is necessary to sign in to the HubPages Service.
Google RecaptchaThis is used to prevent bots and spam. (Privacy Policy)
AkismetThis is used to detect comment spam. (Privacy Policy)
HubPages Google AnalyticsThis is used to provide data on traffic to our website, all personally identifyable data is anonymized. (Privacy Policy)
HubPages Traffic PixelThis is used to collect data on traffic to articles and other pages on our site. Unless you are signed in to a HubPages account, all personally identifiable information is anonymized.
Amazon Web ServicesThis is a cloud services platform that we used to host our service. (Privacy Policy)
CloudflareThis is a cloud CDN service that we use to efficiently deliver files required for our service to operate such as javascript, cascading style sheets, images, and videos. (Privacy Policy)
Google Hosted LibrariesJavascript software libraries such as jQuery are loaded at endpoints on the googleapis.com or gstatic.com domains, for performance and efficiency reasons. (Privacy Policy)
Features
Google Custom SearchThis is feature allows you to search the site. (Privacy Policy)
Google MapsSome articles have Google Maps embedded in them. (Privacy Policy)
Google ChartsThis is used to display charts and graphs on articles and the author center. (Privacy Policy)
Google AdSense Host APIThis service allows you to sign up for or associate a Google AdSense account with HubPages, so that you can earn money from ads on your articles. No data is shared unless you engage with this feature. (Privacy Policy)
Google YouTubeSome articles have YouTube videos embedded in them. (Privacy Policy)
VimeoSome articles have Vimeo videos embedded in them. (Privacy Policy)
PaypalThis is used for a registered author who enrolls in the HubPages Earnings program and requests to be paid via PayPal. No data is shared with Paypal unless you engage with this feature. (Privacy Policy)
Facebook LoginYou can use this to streamline signing up for, or signing in to your Hubpages account. No data is shared with Facebook unless you engage with this feature. (Privacy Policy)
MavenThis supports the Maven widget and search functionality. (Privacy Policy)
Marketing
Google AdSenseThis is an ad network. (Privacy Policy)
Google DoubleClickGoogle provides ad serving technology and runs an ad network. (Privacy Policy)
Index ExchangeThis is an ad network. (Privacy Policy)
SovrnThis is an ad network. (Privacy Policy)
Facebook AdsThis is an ad network. (Privacy Policy)
Amazon Unified Ad MarketplaceThis is an ad network. (Privacy Policy)
AppNexusThis is an ad network. (Privacy Policy)
OpenxThis is an ad network. (Privacy Policy)
Rubicon ProjectThis is an ad network. (Privacy Policy)
TripleLiftThis is an ad network. (Privacy Policy)
Say MediaWe partner with Say Media to deliver ad campaigns on our sites. (Privacy Policy)
Remarketing PixelsWe may use remarketing pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to advertise the HubPages Service to people that have visited our sites.
Conversion Tracking PixelsWe may use conversion tracking pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to identify when an advertisement has successfully resulted in the desired action, such as signing up for the HubPages Service or publishing an article on the HubPages Service.
Statistics
Author Google AnalyticsThis is used to provide traffic data and reports to the authors of articles on the HubPages Service. (Privacy Policy)
ComscoreComScore is a media measurement and analytics company providing marketing data and analytics to enterprises, media and advertising agencies, and publishers. Non-consent will result in ComScore only processing obfuscated personal data. (Privacy Policy)
Amazon Tracking PixelSome articles display amazon products as part of the Amazon Affiliate program, this pixel provides traffic statistics for those products (Privacy Policy)
ClickscoThis is a data management platform studying reader behavior (Privacy Policy)