Sending Multiple Data From RobotDyn Uno+WiFi to FAVORIOT

Another video from my Indonesian friend, Lintang Wisesa using RobotDyn Uno and FAVORIOT.

A simple IoT test, uploading multiple data sensors: DHT22 (temperature & humidity) & MQ-2 (gas sensor) from RobotDyn Uno+WiFi to Favoriot (click http://favoriot.com). Favoriot is an IoT platform by Dr. Mazlan Abbas from Malaysia, developed to helps developers in integrating sensors & actuators on the internet, collecting & storing data from IoT devices, also building vertical applications without worry about the hosting.

You can see the original article here.



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Internet of Things (IoT) – Technical Regulatory Aspects & Key Challenges

You can download the full PDF Version HERE.

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[Video] – How Favorwatch App Works

Here’s a video that shows step-by-step how to use our Ezy-1 Favorwatch that works together with the Favorwatch Mobile App (iOS version)

 

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LabVIEW with FAVORIOT

Recently, Nur Hamiza from VISITAS posted this video on her LinkedIn.

See how LabVIEW data is sent and plot onto Favoriot.  LabVIEW – is a system-design platform and development environment for a visual programming language from National Instruments. Favoriot – is a platform that is developed to support the integration of data from sensors and actuators on the internet. (Video courtesy of Nur Hamiza, VISITAS)

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Automatic Electromagnetic Radiation Level Detection and Monitoring System

 In some cities, mobile phone Base Transceiver Stations (BTSs) are found almost at every 500 m interval, and in other cities where there is no restriction on the location of the towers, more than 30 cell towers can be seen within 1 km. Since more users are emerging every day, the proliferation of mobile Base Transceiver Station (BTS) or mast is of great concern. The radiation emitted from the numerous antennas mounted on the mast of the cell are also of great concerns to the populace, especially people who live close to them.

Therefore, it is compulsory to extract the value of Electric (E) -field (volts/meter) from the individual frequency components of the GSM bands such as 0.9 GHz, 1.8 GHz and 2.1 GHz to be compared with ICNIRP level. Therefore, the main interest for this project is to measure the mobile signal from the base stations, which are mostly close to the residential area covering the GSM bands of 0.9 GHz, 1.8 GHz, and 2.1 GHz.

Currently, the radiated emissions from the GSM tower are detected by the spectrum analyzer which mobile frequency band network systems. However, the spectrum analyzer does not have any provision to broadcast or transmit any information obtained in the field over the internet. In addition, the data measured by spectrum analyzer is offline and not a real time results. It is difficult to give a real picture of the electromagnetic (EM) radiation level in the intended environment. Electromagnetic radiation should not exceed the radiation limit proposed by ICNIRP.

Therefore, this maximum allowable E-field limit has to be followed for human safety. Electromagnetic radiation readings below the radiation limit indicate that the radiations in that specific area are within the safety levels. Therefore, an automatic system capable of measuring the electric (E) fields at the mobile phone frequencies (0.9 GHz, 1.8 GHz, and 2.1 GHz) is designed as shown in Figure 1. These E-field data will then be “pushed” into the internet for continuous monitoring (24 hours a day). The designed unit acted as receiver / EM mobile sensor, consist of an antenna and detector that can produce an accurate DC voltage and eventually convert it into electric (E) field with calculated antenna factor (AF).

Figure 1: Overall system layout

A radiation detector complete system as shown in Figure 2. It consists of receiver sensor (antenna), 3V circuit, WIFI shield, and microcontroller. The rectangular patch antenna is the receiver to receive a signal from the base transceiver station. The microcontroller received the input voltage from the detector and convert it to E-field value. In addition, WIFI shield is the medium hub to connect the Arduino to Favoriot Platform through Internet. The extracted E field information would be plotted for each frequency in the FavorIoT Platform. As a result, the user can access the data via any internet enabled devices. The complete system will be placed in the proposed packaging as shown in Figure 3.

Figure 2: Measurement setup

Figure 3: Proposed packaging for the complete system

The new system has been calibrated and compared with an existing system in the market. Figure 4 shows the comparison between the existing system (using spectrum analyzer and horn antenna) and our product. Based on the results, the E field strength values show a good agreement as the percentage of deviation is quite small which is an average of 2%. The uncertainty of the measurement is ±4.6478 dB. Therefore, E field values for 0.9 GHz, 1.8 GHz, and 2.1 GHz are valid for the measurement as the maximum deviation is 2.4 dB, which is still in the range of the uncertainty. Therefore, the fabricated rectangular patch antenna can be used to detect mobile electromagnetic radiation accurately.

Figure 4: Comparison measurement using a new system and existing system in the market

The E field strength was calculated and the real-time data measurement was stored and displayed in the Favoriot platform. Figure 5 shows the E field strength data for operating frequencies of 0.9 GHz, 1.8 GHz, and 2.1 GHz. 121.28 dBuV/m is the maximum radiation reading shown in Figure 5. The reading does not exceed the radiation limit proposed by ICNIRF level, which is 155 dBuV/m. The result and data can be accessed by the end user using through Favoriot Platform.

Figure 5: E field strength graph display in Favoriot

The Author is Puteri Alifah Ilyana Nor Rahim and Supervisor is Syarfa Zahirah Sapuan from UTHM, our FAVORIOT-University collaborator.

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Propelling IoT in Malaysia

The article was originally published by The Edge Markets and interviewed by Khairani Afifi Noordin.

You can also download the PDF format HERE.



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