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| + | ====== Group 3 : Cognitive Living ====== | ||
| + | |||
| + | |||
| + | ===== The Team ===== | ||
| + | ** // * Carl Kugblenu | ||
| + | * | ||
| + | * | ||
| + | * Syed Asif Iqbal //** | ||
| + | |||
| + | {{: | ||
| + | |||
| + | ===== Motivation ===== | ||
| + | * Increased use of Electronic devices for the household | ||
| + | * Existing Home Automation systems are designed for specific purposes – comfort / security / cost saving | ||
| + | * Need for an integrated system which serves all these purposes | ||
| + | * Users’ needs change from time to time. So there is a need for self adapting system | ||
| + | * Social – Comfort & Security; Environmental – CO2 emission; Economic – Cost saving | ||
| + | |||
| + | ===== Goals ===== | ||
| + | * A comfortable environment – physiologically ambient environment for living | ||
| + | * Safe and Secure living | ||
| + | * Energy aware living & steps towards saving energy | ||
| + | * Cost saving by reducing power consumption | ||
| + | * A system that can automatically understand user’s needs | ||
| + | {{ : | ||
| + | |||
| + | ===== Our Idea ===== | ||
| + | We have implemented a system with DHS HomeManager, | ||
| + | |||
| + | {{: | ||
| + | |||
| + | ===== Components Used ===== | ||
| + | * DHS HomeManager | ||
| + | * FHEM | ||
| + | * HomeMatic Wireless Door / Window Sensor - optical | ||
| + | * HomeMatic Wireless switch Actuator 1-channel | ||
| + | * HomeMatic Wireless Temperatue / Humidity sensor indoor | ||
| + | * AXIS M1113 Network Camera | ||
| + | |||
| + | ===== System Architecture===== | ||
| + | {{ : | ||
| + | |||
| + | ===== Cognitive Prediction (Code Snippet) ===== | ||
| + | This is the Predition service code sample to train the neural network model with collected home data | ||
| + | < | ||
| + | var brain = require(' | ||
| + | var fs = require(' | ||
| + | |||
| + | // Training data for temperature, | ||
| + | var training_data = JSON.parse(fs.readFileSync(' | ||
| + | var net = new brain.NeuralNetwork(); | ||
| + | |||
| + | // Training the neural network | ||
| + | net.train(training_data); | ||
| + | |||
| + | // Predict a switch response based on a temperature and humidity input | ||
| + | var output = net.run([0.22, | ||
| + | </ | ||
| + | |||
| + | ===== FHEM Definitions (Code Snippet) ===== | ||
| + | Normal Mode | ||
| + | < | ||
| + | define NormalMode notify DoorWindowSensor { | ||
| + | if (($EVENT eq " | ||
| + | fhem "set Switch on" | ||
| + | } | ||
| + | else { | ||
| + | fhem "set Switch off" | ||
| + | } | ||
| + | } | ||
| + | </ | ||
| + | |||
| + | Shield Mode | ||
| + | < | ||
| + | define ShieldMode notify MotionSensor { | ||
| + | if (($EVENT eq " | ||
| + | fhem "set Switch off" | ||
| + | } | ||
| + | } | ||
| + | </ | ||
| + | |||
| + | Child Mode | ||
| + | < | ||
| + | define ChildMode notify DoorWindowSensor { | ||
| + | if (($EVENT eq " | ||
| + | fhem "set Switch on" | ||
| + | } | ||
| + | else { | ||
| + | fhem "set Switch off" | ||
| + | } | ||
| + | } | ||
| + | </ | ||
| + | |||
| + | |||
| + | ===== It Works!===== | ||
| + | |||
| + | {{: | ||
| + | |||
| + | {{: | ||
| + | |||
| + | ===== Home automation protocols | ||
| + | **LonWorks** | ||
| + | |||
| + | //__What is LonWorks? | ||
| + | {{ : | ||
| + | |||
| + | |||
| + | // | ||
| + | * Efficient delivery of small messages. | ||
| + | * Reliable delivery of messages. | ||
| + | * Duplicate message detection. | ||
| + | * Multiple communications media. | ||
| + | * Low installation and maintenance cost | ||
| + | * Efficient use of channel bandwidth. | ||
| + | * Prevent tampering. | ||
| + | |||
| + | // | ||
| + | * Municipal and highway/ | ||
| + | * Heating and air conditioning systems. | ||
| + | * Subway train control. | ||
| + | * Stadium lighting and speaker control. | ||
| + | * Security systems, fire detection and suppression, | ||
| + | * Smart electricity metering | ||
| + | |||
| + | |||
| + | |||
| + | |||
| + | **DASH7 Alliance Protocol** | ||
| + | |||
| + | // | ||
| + | * Is an open source Wireless Sensor and Actuator Network protocol. | ||
| + | * Built on top of an asynchronous Wireless Sensor Network Media Access Control. | ||
| + | * This standard was mainly used for military logistics. | ||
| + | * It uses Generally Radio Frequency Identification technology, which is used for locating and tracking objects in a variety of applications. | ||
| + | * This technology consists of a tag and a reader. There are two types of tags, active and passive. Passive tags receive their energy from the | ||
| + | |||
| + | //__BLAST Network Technology__// | ||
| + | {{ : | ||
| + | |||
| + | |||
| + | // | ||
| + | {{ : | ||
| + | |||
| + | |||
| + | ===== Code package & Documentation ===== | ||
| + | * Poster : {{ : | ||
| + | * Mode Configuration in FHEM (example) : {{ : | ||
| + | * Code Package : {{ : | ||
| + | * Presentation Slides : {{ : | ||
| + | * Report : {{ : | ||
| + | * Energy Analysis : {{ : | ||
| + | |||
| + | |||