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In this tutorial, you begin by learning the basics of working with Raspberry Pi online simulator. You then learn how to seamlessly connect the Pi simulator to the cloud by using Azure IoT Hub.
If you have physical devices, visit Connect Raspberry Pi to Azure IoT Hub to get started.
What you do
- Learn the basics of Raspberry Pi online simulator.
- Create an IoT hub.
- Register a device for Pi in your IoT hub.
- Run a sample application on Pi to send simulated sensor data to your IoT hub.
Connect simulated Raspberry Pi to an IoT hub that you create. Then you run a sample application with the simulator to generate sensor data. Finally, you send the sensor data to your IoT hub.
What you learn
- How to create an Azure IoT hub and get your new device connection string. If you don't have an Azure account, create a free Azure trial account in just a few minutes.
- How to work with Raspberry Pi online simulator.
- How to send sensor data to your IoT hub.
Overview of Raspberry Pi web simulator
.Tesis bermaksud sebagai Laporan Akhir Projek Sarjana Muda. Raspberry pi making it the fastest cloud storage in term of accessibility, download. Kali ini saya mau share tentang salah satu hardware yang cukup penting di dunia industri yaitu Timer dan Counter. Kali ini Yang mau saya share yaitu Timer/Counter seri CT4S - 1P dari Autonics, bagi yang belum tahu bisa dilihat di gambar di bawah.
Click the button to launch Raspberry Pi online simulator.
There are three areas in the web simulator.
- Assembly area - The default circuit is that a Pi connects with a BME280 sensor and an LED. The area is locked in preview version so currently you cannot do customization.
- Coding area - An online code editor for you to code with Raspberry Pi. The default sample application helps to collect sensor data from BME280 sensor and sends to your Azure IoT Hub. The application is fully compatible with real Pi devices.
- Integrated console window - It shows the output of your code. At the top of this window, there are three buttons.
- Run - Run the application in the coding area.
- Reset - Reset the coding area to the default sample application.
- Fold/Expand - On the right side there is a button for you to fold/expand the console window.
Note
The Raspberry Pi web simulator is now available in preview version. We'd like to hear your voice in the Gitter Chatroom. The source code is public on GitHub.
Create an IoT hub
This section describes how to create an IoT hub using the Azure portal.
- Sign in to the Azure portal.
- Choose Create a resource, and then enter IoT Hub in the Search the Marketplace field.
- Select IoT Hub from the search results, and then select Create.
- On the Basics tab, complete the fields as follows:
- Subscription: Select the subscription to use for your hub.
- Resource Group: Select a resource group or create a new one. To create a new one, select Create new and fill in the name you want to use. To use an existing resource group, select that resource group. For more information, see Manage Azure Resource Manager resource groups.
- Region: Select the region in which you want your hub to be located. Select the location closest to you.
- IoT Hub Name: Enter a name for your hub. This name must be globally unique. If the name you enter is available, a green check mark appears.
ImportantBecause the IoT hub will be publicly discoverable as a DNS endpoint, be sure to avoid entering any sensitive or personally identifiable information when you name it. - Select Next: Size and scale to continue creating your hub.This screen allows you to set the following values:
- Pricing and scale tier: Your selected tier. You can choose from several tiers, depending on how many features you want and how many messages you send through your solution per day. The free tier is intended for testing and evaluation. It allows 500 devices to be connected to the hub and up to 8,000 messages per day. Each Azure subscription can create one IoT Hub in the free tier.
- IoT Hub units: The number of messages allowed per unit per day depends on your hub's pricing tier. For example, if you want the hub to support ingress of 700,000 messages, you choose two S1 tier units.For details about the other tier options, see Choosing the right IoT Hub tier. Hytera radios pd502.
- Advanced Settings > Device-to-cloud partitions: This property relates the device-to-cloud messages to the number of simultaneous readers of the messages. Most hubs need only four partitions.
- For this article, accept the default choices, and then select Review + create to review your choices. You see something similar to this screen.
- Select Create to create your new hub. Creating the hub takes a few minutes.
Register a new device in the IoT hub
In this section, you create a device identity in the identity registry in your IoT hub. A device cannot connect to a hub unless it has an entry in the identity registry. For more information, see the IoT Hub developer guide.
- In your IoT hub navigation menu, open IoT Devices, then select New to add a device in your IoT hub.
- In Create a device, provide a name for your new device, such as myDeviceId, and select Save. This action creates a device identity for your IoT hub.ImportantThe device ID may be visible in the logs collected for customer support and troubleshooting, so make sure to avoid any sensitive information while naming it.
- After the device is created, open the device from the list in the IoT devices pane. Copy the Primary Connection String to use later.
Note
The IoT Hub identity registry only stores device identities to enable secure access to the IoT hub. It stores device IDs and keys to use as security credentials, and an enabled/disabled flag that you can use to disable access for an individual device. If your application needs to store other device-specific metadata, it should use an application-specific store. For more information, see IoT Hub developer guide.
Run a sample application on Pi web simulator
- In coding area, make sure you are working on the default sample application. Replace the placeholder in Line 15 with the Azure IoT hub device connection string.
- Select Run or type
npm start
to run the application.
You should see the following output that shows the sensor data and the messages that are sent to your IoT hub
Read the messages received by your hub
One way to monitor messages received by your IoT hub from the simulated device is to use the Azure IoT Tools for Visual Studio Code. To learn more, see Use Azure IoT Tools for Visual Studio Code to send and receive messages between your device and IoT Hub.
For more ways to process data sent by your device, continue on to the next section.
Next steps
You’ve run a sample application to collect sensor data and send it to your IoT hub.
To continue to get started with Azure IoT Hub and to explore all extended IoT scenarios, see the following:
Recent papers in Raspberry Pi
The project entitled Diplorasis overlays multiple fields of enquiry. It appropriates and overlaps readings on embodied and disembodied vision in order to produce a contemporary understanding of duration. In particular, the work attempts.. more
The project entitled Diplorasis overlays multiple fields of enquiry. It appropriates and overlaps readings on embodied and disembodied vision in order to produce a contemporary understanding of duration. In particular, the work attempts to rethink how a stereoscopic vision and a cinematic vision might be re-configured and synthesized through the use of digital technologies.
- by George Themistokleous
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- by Aditi Pardeshi
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Kecenderungan penggunaan Internet of Things (IoT) dalam otomasi rumah tangga telah meningkat dalam beberapa tahun terakhir yang dipengaruhi oleh koneksi internet yang semakin cepat dan murah juga akibat peningkatan jumlah pengguna.. more
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This paper investigates based on Raspberry PI based home appliances control system using microcontroller system. The paper proposes to control home appliances remotely using smart phone. In this paper, Raspberry Pi is used as a sever for.. more
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Security is an important part of everyday life. The main aim of the system is to develop a secured door lock system. The system consists of three sections. The first section is the face recognition system that is based on Haar like.. more
Security is an important part of everyday life. The main aim of the system is to develop a secured door lock system. The system consists of three sections. The first section is the face recognition system that is based on Haar like features detection method and Local Binary Pattern LBP recognition algorithm. The second section is the password security system. And the last section is the alert system through GSM module. The system is composed by the combination of face recognition security system, password security system and the alert system through the GSM module. In this system, the iteration used in face recognition system is reduced by using Local Binary Pattern LBP algorithm. In saving time, the processing time of this system, therefore, is better than that of the normal system. Soe Sandar | Saw Aung Nyein Oo 'Development of a Secured Door Lock System Based on Face Recognition using Raspberry Pi and GSM Module' Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25280.pdf Paper URL https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/25280/development-of-a-secured-door-lock-system-based-on-face-recognition-using-raspberry-pi-and-gsm-module/soe-sandar
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In each college it is required to screen participation. Educators anticipate that understudies should be available in the majority of their classes. In each college participation is taken for consistently. By along these lines all in all.. more
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In this paper we focus on detecting the missing parts of ships, submarines and aircrafts. The world of automation does not prefer time consuming processes in detection of missing parts. Hence, this marine metal detector is proposed.. more
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prefer time consuming processes in detection of missing parts. Hence, this marine metal detector is proposed. Raspberry pi acts as the
core of the device. This device is activated when water sensor detects water. The device runs on renewable energy. The device submerges
and moves in the form of a sine wave. When any metal part is detected, the device goes to off state and comes to the surface of the water.
When the device starts floating, GSM module that is bridged to the device sends a message to the user through satellite. With GSM
signal as reference, the location will be tracked. This enables users to detect the missing parts within short range. The device is
conceptualized such that it is fully automated, eliminates man power, reduces time, utilizes renewable source, is compact in size and
requires very little or no maintenance.
prefer time consuming processes in detection of missing parts. Hence, this marine metal detector is proposed. Raspberry pi acts as the
core of the device. This device is activated when water sensor detects water. The device runs on renewable energy. The device submerges
and moves in the form of a sine wave. When any metal part is detected, the device goes to off state and comes to the surface of the water.
When the device starts floating, GSM module that is bridged to the device sends a message to the user through satellite. With GSM
signal as reference, the location will be tracked. This enables users to detect the missing parts within short range. The device is
conceptualized such that it is fully automated, eliminates man power, reduces time, utilizes renewable source, is compact in size and
requires very little or no maintenance.
- by Janeera D A
- •
This project seeks to improve network security thanks to the use of tools that can mitigate the theft of information or computer attacks within the business network of 'Pinturas Unidas'. It will demonstrate the way in which currently,.. more
This project seeks to improve network security thanks to the use of tools that can
mitigate the theft of information or computer attacks within the business network of
'Pinturas Unidas'. It will demonstrate the way in which currently, workers of this
company manipulate and record the information on formulas of paint products.
Currently the paint industry has been growing in the national market to the point of
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uniqueness of its products. This leads to similar companies in the manufacture of
paints seeking to improve their position in the market, leading to the bad action of
accessing private networks of the company 'Pinturas Unidas' for the plagiarism of
information on the formulation of products and thus benefit to be pioneers in the
market.
As a contribution of our project we propose an assurance of the entire network
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better management organization in which the Systems Manager has the ability to
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Linux for port scanning.
This application is designed based on the Raspberry Pi 3 B + minicomputer with a
GNU / Linux distribution. By means of a pentesting, all the scanning of ports of a
network is carried out, as well as all the intrusions that are being presented in the act
are visualized and reported, in order to avoid leakage of information on the formulation
of products. Among the benefits to be achieved with the project are: use of new
technologies, reduction of costs in the improvement of the network infrastructure and
save time when detecting any future computer attack on the company.
mitigate the theft of information or computer attacks within the business network of
'Pinturas Unidas'. It will demonstrate the way in which currently, workers of this
company manipulate and record the information on formulas of paint products.
Currently the paint industry has been growing in the national market to the point of
seeking a highly competitive position that could demonstrate the quality and
uniqueness of its products. This leads to similar companies in the manufacture of
paints seeking to improve their position in the market, leading to the bad action of
accessing private networks of the company 'Pinturas Unidas' for the plagiarism of
information on the formulation of products and thus benefit to be pioneers in the
market.
As a contribution of our project we propose an assurance of the entire network
infrastructure of the company, capable of restricting access to ports and specific
services, applying security policies within each department. It is suggested to have a
better management organization in which the Systems Manager has the ability to
detect any malicious act within the entire company network through the use of Kali
Linux for port scanning.
This application is designed based on the Raspberry Pi 3 B + minicomputer with a
GNU / Linux distribution. By means of a pentesting, all the scanning of ports of a
network is carried out, as well as all the intrusions that are being presented in the act
are visualized and reported, in order to avoid leakage of information on the formulation
of products. Among the benefits to be achieved with the project are: use of new
technologies, reduction of costs in the improvement of the network infrastructure and
save time when detecting any future computer attack on the company.
- by Ahmed J Perez
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Getting Started-4 Real-Time, Off-the-Grid Object Detection on Raspberry PI3 using Movidius Neural
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Nation security is dependent on its defense system. The army is one of the defense systems. In this days terrorism increases and it focuses on soldiers' destruction to make countries' defense system weak. So, in this case, it is necessary.. more
Nation security is dependent on its defense system. The army is one of the defense systems. In this days terrorism increases and it focuses on soldiers' destruction to make countries' defense system weak. So, in this case, it is necessary to provide more security to military base station and soldiers. These all things keeping in mind this project is built. The project works for defending any unauthorized person to enter in the military area with Pi-camera, IoT server and wireless communication it will provide 24-hour security and attacks on military base station will be controlled. Along with this, sensors like heartbeat sensor and temperature sensor is used for daily fast routine checkup of soldiers
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- •
Communication is exchanging or transfer of the data so that the internet of things is but something like transferring of data or things or we can say exchanging several things. The use of authorized systems from the help of the internet.. more
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- by Ijariit Journal
- •
Malaria is a life threatening disease caused by protozoan parasites of the genus Plasmodium. As it poses a serious global hea lth problem, the project proposes to develop a device to detect malaria parasite accurately with the hope of.. more
Malaria is a life threatening disease caused by protozoan parasites of the genus Plasmodium. As it poses a serious global hea lth problem, the project proposes to develop a device to detect malaria parasite accurately with the hope of reducing death rate due to malaria. In this device, a digital microscope camera is used to obtain color images from giemsa stained blood films. Digital image processing techniques are applied to these images to detect malarial parasites. Processing of the image is done on a Raspberry pi platform. The aim of the project is to create a fully portable and automated device that can be used with minimum training to detect malarial infection with a high degree of accuracy. The proposed malaria diagnostic device will be helpful when lab technicians who are trained in microscopic analysis of blood samples are not available. It will also limit human error in the detection o f the presence of parasites in the blood sample. Automated diagnostic techniques can also notably decrease the time needed for diagnosis of the disease. This device will result in early onset of treatment saving many lives .
- by GRD JOURNALS
- •
Current understanding of landslide deformation mechanisms and their impact on buried infrastructure in a hill side is not validated by any physical modelling. Centrifuge modelling has been undertaken in a 1 metre diameter drum to.. more
Current understanding of landslide deformation mechanisms and their impact on buried infrastructure in a hill side is not validated by any physical modelling. Centrifuge modelling has been undertaken in a 1 metre diameter drum to reproduce landslides in natural soil. The surface deformations of this geohazard are being captured using a low-cost close-range photogrammetry solution, using a purpose built small-scale Raspberry Pi camera system. A series of eight stereo view cameras have been developed in the drum centrifuge space smaller than 150 mm2 to capture rapid photo sets, for reproduction of three-dimensional point clouds. The accuracy of the system has been measured to 0.15 mm. This has been coupled with cross-sectional direct image correlation (DIC), to link the surface expression of the landslide, to subsurface strain patterns for the first time.
The model is being used to study the impact of permanent ground deformations on buried pipelines in hillsides. The strain of the pipeline has been captured using Fibre-Bragg grating (FBG) sensor arrays. The method to reproduce landslides that can be studied for soil-structure interaction is discussed. Taken together with the photogrammetry and strain data from FBG measurements on the pipe, the strain transmission of landslides to pipelines is presented.
The model is being used to study the impact of permanent ground deformations on buried pipelines in hillsides. The strain of the pipeline has been captured using Fibre-Bragg grating (FBG) sensor arrays. The method to reproduce landslides that can be studied for soil-structure interaction is discussed. Taken together with the photogrammetry and strain data from FBG measurements on the pipe, the strain transmission of landslides to pipelines is presented.
- by Geoff Eichhorn
- •
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