P10 LILLIAD: Connected Learning Center
The library of University of Lille 1 is in the transformation phase to becoming LILLIAD Learning Center Innovation by 2016. Based on strong service proposal, LILLIAD will offer a unique combination of discovery and experimentation of innovation through an event complex, an experimentarium, educational space and documentary collection. LILLIAD, as desired by University of Lille 1 and the region of Nord-Pas de Calais, will be a place to think, learn and discover about innovation. Situated in the heart of the campus, it will be accessible to companies, innovators, educational institutes and public.
Sommaire
Scope statement
Project overview
Context
To enrich the user experience, the new library will be equipped with multiple sensors (for temperature, etc.) in large scale. However, it requires a lot of effort to implement and configure these sensors. Hence, we had to come with a solution that could automate the reconfiguration process.
Objective
The main goal of this project is to develop a user interface which allows the personnel of LILLIAD to use and maintain the deployed network of sensors. This interface should allow them to configure the sensors by uploading the required files to the main server. On the other hand, we will also be developing a reliable data communication between the sensor boards and the server through radio communication and wired communication in case of wireless network failure. A web interface will also be developed so that the users (students, guests) of LILLIAD would be able to visualize the different data (temperature, luminosity, etc.) to determine their preferred spot in the LILLIAD building.
Project description
LILLIAD is a modern building that will be equipped with huge network of sensors. These sensors will be used to capture and collect data (such as temperature, luminosity, AQI, etc.) to inform the users and personnel of LILLIAD. The sensors will be connected with a Raspberrry Pi in a star topology and the latter will be connected to the local area network (LAN). The Raspberry Pi could be used not only to send data (especially logs) to the central system but also to reconfigure the sensors.
Project phases
- Reservation of time slot to roll-out configuration:
- Develop a database to store information about configuration files and the boards (MB, DB, D²B)
- Integrate a web interface for an admin to upload configuration files
- Deploying configuration via network:
- Automatize the configuration of the boards via scripts
- Update the state of configuration (success or failure) and notify the admin
- Collecting log and sensor data:
- Collect log data received through serial communication for debugging
- Collect raw data from the sensors (through wireless or wired communication in case of failure)
- Process the raw data and store it in the server
- Creating a website to display sensor data:
- Visualize the processed data in a graph for different type of data (luminosity, noise, etc.) via website
Planning
11 – 16 Jan:
- Change the automatic configuration of boards from method 1 to method 2
Method 1: Each Raspberry Pi will query the database server and retrieve the configuration file
Method 2: Instead of Raspberry Pi, the main server, itself will send the configuration file to the Raspberry Pi
18 – 29 Jan:
- Collect raw sensor data (received through wireless communication)
- Identify each data (board ID, type of data and values from sensors)
- Store the processed data in a form of CSV (or TSV) file
1 – 5 Feb:
- Create a HTML5 website to display different types of data from the CSV (or TSV) files created earlier
8 – 20 Feb:
- Collect log data of the boards using Raspberry Pi
- Export the log data (periodically) to the server
22- 24 Feb:
- Prepare for project demo and presentation
Work progress
Reservation of time slot to roll-out configuration
Objective
To enable an administrator to reserve a time slot through a web interface (where the configuration file will be uploaded) so that the boards (daughterboard, d2b) connected to the network are configured according to the schedule.
Conception
To manage the time slots, it’s important to have a database. Thus, I had to come up with a block diagram (of a databse) that describes relationships between each block.
To normalize the diagram, I had to identify the primary and foreign key and use intermediate table such as “configure” and “play_role” as described below:
Role(id[PK],roleName) User(id[PK],name,login,password) Play_role(roleId[FK->Role],userId[FK->User],PK[roleID,userId]) TimeSlot(startDate,startTime,endTime,PK(startDate,startTime)) Board(id,type,subId,PK(id,subId)) File(fileName[PK],fileDescription,fileChecksum) Configuration(startDate, startTime, idUser[FK->User],fileName[FK->File],[FK(startDate, startTime)->TimeSlot],PK(startDate, startTime)) Configure(startDate, startTime,id ,subId, [FK(startDate, startTime)->Configuration], [FK(id, subId)->Board],PK(startDate,startTime, id, subId)) |
Implementation
To implement the database, I started with the installation of LAMP stack in Linux. Thus, the packages “apache2, php5, mysql-server php5-mysql” were installed. Then, it was time I configured the MySQL database with the relational database model conceptualized earlier.
Deploying configuration via network
Conception
To be able to configure equipment automatically via network, we need to have a file server where all the configuration files will be stored. Each equipment must retrieve those files and configure the boards (and the sensors) automatically.
Implementation
The configuration files will be stored in the main server (where the user will upload through a website). This server was configured to function as a SFTP server so that the files could be retrieved automatically through script.
Then, I created a bash script (implemented in Raspberry Pi) where it will make a query to the MySQL database to retrieve the file name and the it will connect to the SFTP server and download the given configuration file.
Collecting log and sensor data
Creating a website to display sensor data
Objective
To display the values stored in a TSV file in the form of graph (for a given period, i.e.: a week) and also to display instantaneous values (current, minimum and maximum).
Implementation
Graph
Use of d3 javascript D3 JSto read the TSV file line by line and display in the form of graph
Instantaneous values
Use of 3 Quarks 14-segment display to visualize instantaneous values.
