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Learn how to install the TeamViewer IoT Agent including provisioning and monitoring setup.
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TeamViewer IoT Cloud UI is a web-based management platform for TeamViewer IoT Service.
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 Learn more about how to use IoT Remote Control from the TeamViewer software.
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Make sure you have the latest TeamViewer IoT Agent!
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Linux based device with ARM5 or ARM7 architecture (like Raspberry Pi). Raspbian is an officially supported operating system.
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Use the setup wizard to connect your sensors and view your data in streaming real-time!
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Learn more about Teamviewer's IoT new remote screen feature which allows a user to access the screen attached to a remotely accessed device with the Teamviewer IoT agent installed on it
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The TeamViewer IoT Node.js SDK is a development kit to facilitate integration of sensors to the IoT Agent MQTT API. Get the downloads in this article.
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Create and manage advanced Rules & Notifications to keep abreast of any and all changes in your IoT network.
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Webhook Samples for Rule Based Alerts & Notification via TeamViewer IoT Cloud.
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As TeamViewer IoT is a web-based service, there is no dedicated download of an .exe file available.
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Securely Connect to TeamViewer IoT from anywhere in your Network!
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To add a device to TeamViewer IoT, you need to log in to the TeamViewer IoT dashboard under  https://teamviewer-iot.com , click on the  Add device  button.
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To use the TeamViewer IoT dashboard, go to  https://teamviewer-iot.com , and log in with your account credentials.
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TeamViewer is not necessarily needed for using TeamViewer IoT.  The TeamViewer full version is however needed to connect to a device via TeamViewer IoT.
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Find out how to quickly integrate your OPC-UA IoT network with TeamViewer IoT!
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Yes, you can use your existing TeamViewer account for TeamViewer IoT. Your TeamViewer account is basically used to identify you for all IoT services.
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All you need is a log! Quickly integrate your IoT network with TeamViewer IoT - no coding required!
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Real Time Rule Engine Processing for your TeamViewer IoT Edge Management Application
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This article applies to IoT users who are using the TeamViewer Application running on Windows OS to remotely access the web interface of their IoT Device   Overview TeamViewer uses the browser engine of the Internet Explorer (IE) to render the web content of the Remote AppControl tab in the IoT remote sessions. Starting with version 15.9, TeamViewer will support the Microsoft Edge WebView2 technology for the IoT Devices. Microsoft Edge WebView2 is a Chromium-based web control that can handle web technologies not being supported by IE. Preview Notice Please note that this feature is based on functionality provided by Microsoft, which is still in an evaluation phase. As a result, unexpected behavior and malfunctions may occur. The feature should therefore not be activated for the operation of production or live systems. Please note that with the activation of the feature certain data is transferred to Microsoft. For more information, please refer to the Microsoft privacy policy. The support of the Microsoft Edge WebView2 in TeamViewer is provided in a preview mode. It is intended for early prototyping and testing. The stable version will be provided as soon as the WebView2 Runtime will be released. For more information on the Webview2 release plan please review the Microsoft Edge WebView2 roadmap. Requirements A Windows (7, 8.1, 10) machine, with TeamViewer v15.9 or higher. A Microsoft Edge WebView2 Runtime installed. An IoT Device with a running web application How to Activate the New Browser Engine Before you switch to the new browser engine please make sure that you have the Microsoft Edge WebView2 Runtime installed on your machine. If it is already installed you can skip this step. There is a chance that your machine already has this component as it could come with other applications using WebView2 technology. The WebView2 also comes with Microsoft Edge Insider builds that include the latest fixes by Microsoft. That is why we also recommend installing Microsoft Edge Canary Channel instead of Microsoft Edge WebView2 Runtime. For 32-bit operating systems, you need to install the Microsoft Edge Canary. Open TeamViewer Application and navigate to Extras->Options->Advanced->Show advanced options->IoT options. Enable the checkbox for the Use Microsoft Edge WebView2 for Remote AppControl. On your next connection to the IoT device, Microsoft Edge WebView2 will be used to display the web content. Below is an example of using the old and the new browser engines for the Remote AppControl  tab.
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This article applies to all TeamViewer IoT users that want to install TeamViewer IoT Agent on Raspberry devices. General TeamViewer IoT already had instructions on how to install TeamViewer IoT Agent to Raspberry PI devices that comes with preinstalled OS. But how to do with the devices that has no OS installed on them? With this feature we have made it easier for users to have both OS and Agent installed on Raspberry PI device and automatically register the device to the TeamViewer Account. Compatibility The feature is tested  and is compatible with the following Raspberry PI models: Raspberry Pi Zero W Raspberry Pi 1 Raspberry Pi 2 Raspberry Pi 3 Raspberry Pi 4 Use cases Installing the TeamViewer IoT Agent required an access to CLI GUI, so there was a need to connect a keyboard and monitor to your Raspberry PI device. Now when the Agent is installed automatically by the configuration scripts on device boot, no more need to have/connect an extra equipment. This method can be used for mass deployment of the agent on multiple Raspberry PI devices. Just flash the microSD cards with the required OS and configuration file, insert to the devices and power up. You can have your devices up and running TeamViewer IoT within minutes. How to Setup Login in TeamViewer IoT Management Console from navigation panel click on Inventory and from the ADD dropdown menu on the right select Device. Select the required model of Raspberry PI. Scroll down and select Empty Raspberry PI. Now, will get the Configuration settings. Only the Group field is mandatory in configuration. If you want to automatically configure your network (LAN or WiFi) parameters on your device, then you need to fill Hostname, WiFi Network Name (SSID), WiFi Password and Country. Once you are done with the input of your settings, click Download Configuration. This will download the .zip package which contains scripts and configuration for TeamViewer IoT Agent installation. Once you downloaded the configuration, download the OS that you want to have on your device. It can be one of the followings: Raspbian Buster with desktop and recommended software Raspbian Buster with desktop Raspbian Buster Lite   Note: The links to these images can be found in instructions page for easy reference. After you downloaded the necessary OS, you would need an image writing tool such as Win32 Disk Imager, Rufus, Etcher, ApplePi-Baker, Acronis True Image, etc. Make sure that microSD is properly formatted, and partitions are deleted. Write the OS image to the microSD card from Raspberry PI device. After you have the OS on the microSD card, you will notice the “boot” partition. Extract the downloaded Configuration files from earlier step and copy to boot partition on MicroSD card by replacing all the files on boot partition with downloaded configuration file. Now insert the microSD card back to your Raspberry PI device and power up. Don’t forget to connect the LAN cable if you intend the device to work in LAN network. It will take 3 to 5 minutes for the device to boot and install the TeamViewer IoT Agent on the OS. This will be done by scripts and configuration files you have on microSD card, so no extra step is required. Once the device is up, go to Inventory, or simply refresh the page if you are already on the page and find your device there. Now you can add sensors, metrics, remote connect and use other features of TeamViewer IoT.    
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This article applies to all TeamViewer IoT users. General The Yocto Project enables the creation of custom Linux-based systems for embedded devices. The TeamViewer IoT Agent will run on Yocto Linux devices given minimum requirements and configurations are met. This article is an example how to build Yocto Image with TeamViewer IoT Agent for Raspberry using the layer provided in GitHub. Information about this here   Requirements You need some dependencies to develop projects in the Yocto Project.  Please check here for more information. How to setup Install dependencies based on OS version (use verified OS for building image). Check here Open Terminal on Host Machine and run the commands below:   Clone poky project's zeus branch git clone --branch=zeus git://git.yoctoproject.org/poky.git && cd poky Clone raspberryPi and TeamViewer IoT agent meta-packages git clone --branch=zeus git://git.yoctoproject.org/meta-raspberrypi git clone --branch=zeus https://github.com/teamviewer/meta-teamviewer-iot-agent Configure Environment  source oe-init-build-env Add Layers to bitbake bitbake-layers add-layer ../meta-raspberrypi bitbake-layers add-layer ../meta-teamviewer-iot-agent Change the target Machine on the configuration file and set init manager to systemd echo 'MACHINE = "raspberrypi3"' >> conf/local.conf echo 'DL_DIR = "${TOPDIR}/downloads"' >> conf/local.conf echo 'CONNECTIVITY_CHECK_URIS = "https://www.google.com/"' >> conf/local.conf echo '#Set Systemd to Init Manager' >> conf/local.conf echo 'DISTRO_FEATURES_append = " systemd"' >> conf/local.conf echo 'DISTRO_FEATURES_BACKFILL_CONSIDERED += "sysvinit"' >> conf/local.conf echo 'VIRTUAL-RUNTIME_init_manager = "systemd"' >> conf/local.conf Append ssh and TeamViewer IoT agent layer, 50MB extra space, and set default password for root user echo '#Append TeamViewer IoT agent layer' >> conf/local.conf echo 'IMAGE_INSTALL_append += " teamviewer-iot-agent"' >> conf/local.conf echo 'IMAGE_ROOTFS_EXTRA_SPACE ?= "50000"' >> conf/local.conf echo 'CORE_IMAGE_EXTRA_INSTALL += "openssh"' >> conf/local.conf echo 'INHERIT += "extrausers"' >> conf/local.conf echo 'EXTRA_USERS_PARAMS = "usermod -P raspberry root;"' >> conf/local.conf echo 'VOLATILE_LOG_DIR = "no"' >> conf/local.conf OPTIONAL - For installing Xvfb server in the target device to be able to use X11 features echo '#X11' >> conf/local.conf echo 'DISTRO_FEATURES_append += " X11"' >> conf/local.conf OPTIONAL - For enable edge management with Docker in the target device git clone --branch=zeus git://git.openembedded.org/meta-openembedded ../meta-openembedded git clone --branch=zeus git://git.yoctoproject.org/meta-virtualization ../meta-virtualization sed -i '$d' conf/bblayers.conf echo ' ${TOPDIR}/../meta-openembedded/meta-oe \' >> conf/bblayers.conf echo ' ${TOPDIR}/../meta-openembedded/meta-multimedia \' >> conf/bblayers.conf echo ' ${TOPDIR}/../meta-openembedded/meta-networking \' >> conf/bblayers.conf echo ' ${TOPDIR}/../meta-openembedded/meta-python \' >> conf/bblayers.conf echo ' ${TOPDIR}/../meta-openembedded/meta-filesystems \' >> conf/bblayers.conf echo ' ${TOPDIR}/../meta-virtualization \' >> conf/bblayers.conf echo ' "' >> conf/bblayers.conf bitbake-layers show-layers echo '#Docker layer for supporting Edge services' >> conf/local.conf echo 'DISTRO_FEATURES_append += " virtualization"' >> conf/local.conf echo 'IMAGE_ROOTFS_EXTRA_SPACE = "400000"' >> conf/local.conf Run the command below to start the build bitbake core-image-minimal Notes: You can find target image tmp/deploy/images/raspberrypi3/ here with core-image-minimal-raspberrypi3 prefix. In case of failure or new bash ( terminal ) creation, after all steps executed you need to go to Project's directory and start again from Configure Environment. When using 'ssh' with the built image, the username is 'root' and the password is 'raspberry'.
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This article applies to all TeamViewer IoT users and requires TeamViewer IoT Agent 2.9 or higher and TeamViewer client version 15.5 or higher. General TeamViewer IoT edge devices can be accessed remotely via the internet. Now, with the help of FileTransfer feature that TeamViewer IoT offers, users can upload and download files from their remote computers to the IoT edge devices in the filed and vice versa. How to Set Up Connect with the TeamViewer client to the device and use Remote Terminal Enter this command: sudo teamviewer-iot-agent configure set FileTransferAccessControl 0   Note: Be careful when enabling this feature. You will have access to the file systems of the device with the root permission. It is recommended to disable the File Transfer when sharing the device with other accounts/users. Now, you will see that File Transfer  option is activated when you connect with TeamViewer client.   Click on the File Transfer button;  the transfer window will appear and you can start upload or download files.   How to Disable To disable this feature, from Remote Terminal run: sudo teamviewer-iot-agent configure set FileTransferAccessControl 2
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This article applies to all TeamViewer IoT users and requires TeamViewer IoT Agent 2.8.14 or higher. General The “Easy Setup“ feature for adding sensors is intended to provide an intuitive and easy user experience which will lead through the setup steps in adding the sensors. How to setup Login in TeamViewer IoT Management Console from navigation panel click on Inventory and from the ADD dropdown menu on the right select Add Sensor.   After, click on Easy setup button.   Note: There are thousands of different sensors in the world. Some of them would need special libraries or custom development to get a data from. That’s why we provide a custom solution which will help to setup sensors easily from TeamViewer IoT Management Console Here, select the Device for which you add a sensor (when you used the Device menu, it will come preselected). Make sure the latest version of Agent installed on the device, otherwise a warning will be displayed, and it will not be possible to continue with the setup. After selecting the device, you need to provide a unique Sensor name along with Metric name and ID. Value Type and Value Unit fields are optional.     Note: Sensor name is limited to 50 characters and alphanumeric and special characters can be used. Metric name has a limitation of 30 characters. Metric ID is limited to 32 characters and only Latin letters and numbers can be used (no special characters are allowed). You will get an error message if these rules are not followed. Value Type default selection is “Number”.  Once you are done with configuring one metric, you can add the next one, as well as delete already configured metrics. Up to 10 metrics can be configured per sensor. Now, when the Sensor and Metrics are configured, click on “download the generated template”. The zip downloaded file contains the template examples in Python and Bash. Unzip the file and select your preferred template. The template script prints metric values of a sensor in JSON format and each metric is described as a variable which gets a random value in between 1 and 20. If you don't have a ready script, you might need to search for tutorials on how to read your sensor data, find a library or script that works with your sensor and make sure that your script's output prints the JSON formatted example as presented in the template. Then place the ready script on the edge device and provide the full path information into the configuration page.     Note: The script path and name validations are done with predefined standards and the scripts are checked to have python or shell file extensions. Don't forget to run "sudo chmod +x /<path to script>" on edge device to provide execution permissions to the script. It is advised also to manually execute the script on the device and check if the output matches the required JSON format. This will prevent further confusions. Next, select the frequency by which the data will be sent to the TeamViewer IoT Cloud. It can be defined in seconds or minutes. Press ADD button to send the configuration to the Agent, and once the Agent receives the configuration it will process with the data collection.    
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This article applies to all the customers looking for AWS Integration with TeamViewer IoT Solution. General This article helps to establish communication between AWS Greengrass and IoT TV Cloud by publishing and subscribing data from teamviewer-iot-agent to aws greengrass platform and vice-versa. Requirements TeamViewer IoT Agent   installed and provisioned to an account.  TeamViewer IoT Edge Management   installed on the edge device Installing AWS Greengrass  Configure AWS IoT Greengrass on AWS IoT Sign in to the AWS Management Console on your computer and open the AWS IoT console. If this is your first time opening this console, select Get started. In the navigation pane, select   Greengrass  image      On the   Welcome to AWS IoT Greengrass   page, select Create a Group.  An AWS IoT Greengrass   group   contains settings and other information about its components, such as devices, Lambda functions, and connectors. A group defines how its components can interact with each other. Greengrass needs your permission to access other services  dialog box, select Grant permission  to allow the console to create or configure the Greengrass service role for you.  On the   Set up your Greengrass group   page, select Use default creation   to create a group. Enter a name for your group (for example,  MyFirstGroup ), and then select Next . Use the default name, and then select Next. On the Review Group creation page, select Create Group and Core. Download your core's security resources and configuration file. On the confirmation page, under Download and store your Core's security resources, choose Download these resources as a tar.gz. The name of your downloaded  tar.gz  file starts with a 10-digit hash that's also used for the certificate and key file names. After you download the security resources, select Finish. Download the AWS IoT Greengrass Core software installation package. select the CPU architecture and distribution (and operating system, if necessary) that best describe your core device. For example: For Raspberry Pi Model B or B+, download the Armv7l for Raspbian package. For an Amazon EC2 instance, download the x86_64 for Linux package. Start AWS IoT Greengrass on the Edge Device In a   previous step, you downloaded two files to your computer: greengrass- OS-architecture -1.10.0.tar.gz . This compressed file contains the AWS IoT Greengrass Core software that runs on the edge device. hash -setup.tar.gz  (for example,  c6973960cc-setup.tar.gz ). This compressed file contains security certificates that enable secure communications between AWS IoT and the  config.json  file that contains configuration information specific to your AWS IoT Greengrass core and the AWS IoT endpoint. Transfer the two compressed files from your local computer to the edge device. To transfer the compressed files from your computer to edge device, using file transfer feature . Open a terminal on th edge edevice and navigate to the folder that contains the compressed files (for example,  cd /home/pi ). Decompress the AWS IoT Greengrass Core software and the security resources. sudo tar -xzvf greengrass-OS-architecture-1.10.0.tar.gz -C / sudo tar -xzvf hash-setup.tar.gz -C /greengrass Review Server Authentication in the AWS IoT Developer Guide and choose the appropriate root CA certificate. We recommend that you use Amazon Trust Services (ATS) endpoints and ATS root CA certificates. Certificates enable your device to communicate with AWS IoT using the MQTT messaging protocol over TLS. For ATS endpoints (preferred), download the appropriate ATS root CA certificate. The following example downloads  AmazonRootCA1.pem . The  wget -O  parameter is the capital letter O. cd /greengrass/certs/ sudo wget -O root.ca.pem https://www.amazontrust.com/repository/AmazonRootCA1.pem You can run the following command to confirm that the  root.ca.pem  file is not empty: cat root.ca.pem (If the  root.ca.pem  file is empty, check the  wget  URL and try again.) Start AWS IoT Greengrass on your edge device. cd /greengrass/ggc/core/ sudo ./greengrassd start You should see a  Greengrass successfully started  message. Make a note of the PID. You can run the following command to confirm that the AWS IoT Greengrass Core software (Greengrass daemon) is functioning. Replace  PID-number  with your PID: ps aux | grep PID-number Lambda Functions on AWS IoT Greengrass User should copy/paste the code to his lambda function, get the metrics values and use greengrass sdk to push the data to the AWS.  Don't forget to replace the paths, client id and sensor id with your own in the lambda functions described below. aws_iot_tv_pub: This lambda function subscribes data from mqtt-broker from edge device and publishes is to amazon cloud to the topic ‘tv/greengrass’.  Below is the sample code attached for aws_iot_tv_pub: #!/usr/bin/python import paho.mqtt.subscribe as subscribe import paho.mqtt.publish as publish import traceback import json def function_handler(event, context): return # AWS part # Change following parameters aws_host = "a10kx625z9icrs-ats.iot.eu-central-1.amazonaws.com" # Endpoint aws_port = 8883 aws_tls = {'certfile': "/home/pi/Downloads/certs/1b9a6e0dcb.cert.pem", 'keyfile': "/home/pi/Downloads/certs/1b9a6e0dcb.private.key", 'ca_certs': "/home/pi/Downloads/certs/root.ca.pem" } # TV part #Change following parameters tv_iot_api_version = "v1.0" tv_host = "localhost" tv_port = 18884 tv_tls = {'certfile': "/home/pi/Downloads/test_client_greengrass/cert-7a2b7efc1ad1473d87e049517a19628b.pem", 'keyfile': "/home/pi/Downloads/test_client_greengrass/key-7a2b7efc1ad1473d87e049517a19628b.pem", 'ca_certs': "/home/pi/Downloads/test_client_greengrass/TeamViewerAuthority.crt"} client_id = "fd9e67783b7441ffb7cd62dda121567a" sensor_id = "111804" def subscribe_data(): try: mqtt_topic_subscribe_data = "/" + tv_iot_api_version + "/" + client_id + "/sensor/" + sensor_id + "/livedata" print("Suscribing to " + mqtt_topic_subscribe_data) subscribe.callback(on_subscribe, mqtt_topic_subscribe_data, hostname=tv_host, port=tv_port, tls=tv_tls) except Exception as e: traceback.print_exc() print(str(e)) def on_subscribe(client, userdata, message): json_message = json.loads(message.payload.decode('utf8')) msgArr = [] for metric in json_message["metrics"]: messageJ = {} messageJ['metricId'] = metric["metricId"] messageJ['metricValue'] = metric["value"] msgArr.append(messageJ) msgs = [] msgs.append({'topic': "tv/greengrass", 'payload': json.dumps(msgArr)}) print(msgs) publish.multiple(msgs, hostname=aws_host, port=aws_port, tls=aws_tls) subscribe_data() aws_iot_tv_sub: This lambda function subscribes the data from amazon cloud and pushes the data to teamviewer metrics and real-time data can be visualized on edge and teamviewer-cloud dashboard. #!/usr/bin/python import paho.mqtt.subscribe as subscribe import paho.mqtt.publish as publish import traceback import json import ssl def function_handler(event, context): return # AWS part # Change following parameters aws_host = "a10kx625z9icrs-ats.iot.eu-central-1.amazonaws.com" # Endpoint aws_port = 8883 aws_tls = {'certfile': "/home/pi/Downloads/certs/1b9a6e0dcb.cert.pem", 'keyfile': "/home/pi/Downloads/certs/1b9a6e0dcb.private.key", 'ca_certs': "/home/pi/Downloads/certs/root.ca.pem", 'tls_version': ssl.PROTOCOL_TLSv1_2 } # TV part #Change following parameters tv_iot_api_version = "v1.0" tv_host = "localhost" tv_port = 18884 tv_tls = {'certfile': "/home/pi/Downloads/test_client_greengrass/cert-7a2b7efc1ad1473d87e049517a19628b.pem", 'keyfile': "/home/pi/Downloads/test_client_greengrass/key-7a2b7efc1ad1473d87e049517a19628b.pem", 'ca_certs': "/home/pi/Downloads/test_client_greengrass/TeamViewerAuthority.crt"} client_id = "7a2b7efc1ad1473d87e049517a19628b" sensor_id = "71b91c40fb2d4f61bec2fa593172085d" def aws_subscribe(): print("Suscribing to tv/greengrassSub") subscribe.callback(on_subscribe, "tv/greengrassSub", hostname=aws_host, port=aws_port, tls=aws_tls) def on_subscribe(client, userdata, message): try: metric_data = json.loads(message.payload.decode('utf8')) mqtt_topic_push_data = "/" + tv_iot_api_version + "/" + client_id + "/sensor/" + sensor_id + "/metric/pushValues" # metric_data = {"metrics": [{"value": 1, "metricId": "7ad8ad3e2dbe4cdcba0ee3ec0cbd2717"}]} msgs = [] msgs.append({'topic': mqtt_topic_push_data, 'payload': json.dumps(metric_data)}) print(msgs) publish.multiple(msgs, hostname=tv_host, port=tv_port, tls=tv_tls) except Exception as e: traceback.print_exc() print(str(e)) aws_subscribe() Further reading/Realated articles For Troubleshooting purposes click here and here
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This article applies to all TeamViewer IoT users and requires TeamViewer IoT Agent 2.9 or higher. General With this feature is possible to remotely configure IoT Agent by assigning settings from TeamViewer IoT Management Console thus eliminating the need to connect remotely to the device and using Remote Terminal and enables bulk configuration of devices and groups.  This knowledge base article is how to configure (enable/disable) edge-management on the devices. How to Setup Log in TeamViewer IoT Management Console and from navigation panel click on Settings Template Click on Create Template Provide the Template Name and the Configuration Note: Currently, users can configure only Edge-Management on the device. Assignement of a Settings Template To Edge Device Any Settings Templates can be assigned to any number of devices and groups owned by the user. To assign a Settings Template, after you created, click on the right options menu and select Assign From the Menu select devices or groups needed. (searchable drop-down list will show all groups and devices) and click Save Setting Template will be assigned to selected devices or groups, configurations will be updated on the device, and device names will be listed in Settings Template list row.     Note: Depending on the edge device  performance, you need to allow some time for the settings template to assign to the device. Upon assigning to a group, all eligible devices within the group will receive the template assignment as well. Devices with unsupported IoT Agent Version as well as Shared devices will be visible in the list, but you will receive an appropriate warning message.  Unassignement of a Settings Template To unassign a settings template, from the same menu where you assign, remove the device or the group and click Save Editing a Settings Template At any time, you can modify the settings for a template. After each modification, all assigned devices will receive an updated assignment. Once the Settings Template is created, click on the right options Menu and select edit. From Menu make the required changes and click Save. To delete a template, navigate to Settings Template menu, click on the right options Menu on the desired template and select Delete. Changing Device Group to Receive Settings Template Once a Settings Template is assigned to a group, user can assign Group's template to any edge device by adding it to that group. From the left menu, click on Inventory. On the device you want to change, on the option Menu select Properties. Change group of the device to the group where the user has Settings Template assigned Check "Inherit Group Setting Configurations" checkmark and click Save. Note: After proceeding with the above steps all other Settings Templates assigned to that device will be unassigned and Group template will be applied. User can also move a device to a group without assigning Settings Template of the group by leaving the "Inherit" checkmark unchecked, in this case, device settings will be managed independently from the group.  
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General The journey of the IoT user starts from assigning his edge device to the cloud and the assignment process should be as simple as possible. The assignment of a single device is mostly done for testing purposes or when evaluating the solution. Here the time spent on the device assignment will not have a significant impact. But when dealing with a big project mostly we have a bunch of devices that should be assigned to the account. And here it is required to shorten the time spent on the assignment process up to even without touching the device. TeamViewer IoT cloud offers assignments via token functionality which can be used both for single device assignment and for assigning hundreds or thousands of devices in a secure way. How it works For each IoT account, a unique assignment token is being generated. The assignment token can be used only for the device assignment to the account. During the assignment process, the device connects to TeamViewer IoT cloud and presents its assignment token. The assignment service receives the token and connects the device to the account to which the token belongs. Starting from that moment device continues to work with the assigned account. All this process is organized in a seamless way so the device just provides the assignment token. Using the feature In the TeamViewer IoT dashboard go to the "Assignment token" page from the main menu. There you will find the "Assignment token" generated for your IoT account with detailed instructions on how to use it. Click on revel button to view the assignment token   Open your device terminal and install TeamViewer IoT agent. The article "Install TeamViewer IoT Agent" describes the process of installation. For the single device assignment use the below provided command by replacing <token> with the one obtained from the "Assignment token" page. sudo teamviewer-iot-agent assign -t <token> --accept-license For mass assignment of IoT devices, this command needs to be configured to run once when the device boots.  
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This article applies to all TeamViewer IoT users and requires TeamViewer IoT Agent 2.8.14 or higher.   General TeamViewer IoT comes with a pre-configured monitor for monitoring the operating system of your Edge Device. You can use this feature to keep track of the following device operating system metrics: 1 min load 5 min load 15 min load Free Memory Total Memory Free Swap Memory Total Swap Memory Buffers Memory Cached Memory Number of CPU cores User CPU Usage Nice CPU Usage System CPU Usage Idle CPU Usage Io Wait CPU Usage   How to Setup Login in TeamViewer IoT Management Console From navigation panel click on Inventory and from the ADD dropdown menu on the right select Add Sensor. Depending of which data  you want to monitor, select  CPU, Memory or Load. You can activate all the  three sensors on your device. After, you need to Select Device from the dropdown menu. The Sensor Name field will be automatically generated with the selected option. Also, it is possible to input the desired name. Next, select the frequency by which the data will be read. It can be defined in seconds or minutes. After you clicked on ADD, you will be automatically redirected In the Inventory menu. Scroll down and select the Sensor  that you just created and pin to you Dashboard. To disable it, just select the desired Sensor and from the right menu, click on Delete.
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This article applies to all TeamViewer IoT users. General The purpose of collecting the data in the cloud is to analyze it. If you want to do some specific analysis with third-party tools you can download the raw data from the IoT cloud. How to setup First, you need to create or to have a Widget. To create one, login in TeamViewer IoT Management Console from navigation panel  select Dashboard and on the right side click on Add Widget button.   Give a Label for your widget; select the Type of visualization, pick the Metric from your sensor/device and click on “OK” button.                               Note: If you select the Chart visualization option, you can choose up to 3 metrics to appear in the same widget.  Now to Export Data to CSV file, click on the menu button of the Widget and select the Export to CSV. Provide a name for the CSV file and select the date range for which the data needs to be exported. Press the Export button. You can select up to 3 Metrics, for which you need to export the data.                                 You will receive an e-mail with the download link of the file as soon as the export is ready.             Note: CSV file uses comma ( , ) as a list separator. Make sure to have the same setting in your Operating System not to have a display issue in case the file will be imported into third-party analysis tools.
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General With the TeamViewer IoT integration for IBHsoftec Edge Gateways, you instantly and securely remote connect to any of your PLCs – with zero complicated VPN setup, allowing easy access to controllers and their programming. The newly developed gateway IBH Link IoT and pre-installed TeamViewer IoT Agent, the possibility is offered to access almost all PLC systems. No PC required on site Encrypted data ensures high security Comfortable and simple configuration via web interface S7 controllers addressable via S7 TCP/IP or IBH Link S7++ S5-controllers addressable via IBH Link S5++ Support of the SINUMERIK 840D/840D SL Support of Mitsubishi controllers MELSEC IQR, FX5, QnA and L series Support for Rockwell Controllogix and Compactlogix controllers Support for Beckhoff TwinCAT controllers For other PLC models please contact IBHsoftec How to Setup To activate Teamviewer Iot Agent on the device, please follow the steps below. Configuration of the IP Addresses The administration can be made with a recent web browser over the Ethernet port 1 by using the host name http://ibhlink-iot_<serial number> (f.i. http://ibhlink-iot_000161) or over the ports 2-4 by entering the default IP Address 192.168.1.14 On the PC the IBHNet-Iot Driver is required. The Driver is available from here Default login is user admin with password admin. Network: Management Level Network configuration for Port 1 (Management level respectively Supervision Level) Network: Control Level Network configuration for Port 2 - 4 (Control Level respectively Machine Level) TeamViewer Iot Configuratio Login into the TeamViewer Iot Management Console click on your username in the right and from the dropdown menu select Assignment Token Copy the Assignment Token and paste it the TeamViewer IoT menu on the device Install and Configuring of IBH NET IoT driver The required IBH Link IoT Driver is available here and needs to be installed on the pc from where you want to start the connection. After installation, from system tray, click on the IBH Link IoT and select from the menu Agents In the pop-up window, you need to configure the Display Name  and the TeamViewer ID. The Display Name can be freely chosen. The TeamViewer ID to be used for each device can be seen in the web interface of the edge device.     How to connect Now, via the IBH Link IoT Tray  the connection can now be established by selecting IBH Link IoT from menu. After successful connection establishment, the IBH Link IoT appears as WireGuard tunnel in the Network Adapters. From now on, all controls that are connected via the control level of the IBH Link IoT are accessible via TeamViewer.   Note: For the two Edge Gateways IBH Link UA and IBH Link UA Quad Core please contact IBHsoftec for the latest firmware update. This firmware update will have the TeamViewer IoT Agent preinstalled. Once the latest Firmware update is installed, please follow the instructions in the link “Manual TeamViewer IoT” from here
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This article applies to all TeamViewer IoT users and requires TeamViewer IoT Agent 2..11 or higher. Overview OPC Technology stands for “Open Platform Communications” and is an approved communication standard for the process industry. The OPC Unified Architecture (UA) is an interoperability standard and provides a secure and reliable data exchange mechanism. OPC UA is a platform-independent system and ensures information flow between devices from multiple vendors. For real-time data access, the OPC Data Access specification is being used. Architecture TeamViewer IoT provides an OPC UA Connector that connects to the OPC UA Server and collects values from OPC UA Variables. The connector finally communicates with TeamViewer IoT Cloud with the help of IoT Agent. Installation Connect with the TeamViewer Client to the device and use Remote Terminal Run this command: sudo teamviewer-iot-agent install opcua Connector Configuration In most cases, the OPC UA servers are being configured by other companies. And the configuration is specific to the installation and the environment where it is being used. You need to configure the OPC UA Connector according to your server's configuration by providing the URL of the server, security settings, and authentication options. To do this, you need to edit the opcua.conf file. The file is located in /var/lib/teamviewer-iot-agent/scripts/opcua/ directory of the Edge Device. Below are the parameters included in the file: # Server Information EndpointURL="opc.tcp://localhost:46570" # Security Policy # 0 - None # 1 - Basic128Rsa15 # 2 - Basic256 # 3 - Basic256Sha256 # 4 - Aes128Sha256RsaOaep # 5 - Aes256Sha256RsaPss SecurityPolicy=0 # Message Security Mode # 0 - None # 1 - Sign # 2 - Sign & Encrypt MessageSecurityMode=0 # Authentication Settings # 0 - Anonymous # 1 - Username & Password # 2 - Certificate & Private Key AuthenticationType=0 # If "Username & Password" is selected Username="admin" Password="admin" Adding a Sensor via OPC UA Connector Login in TeamViewer IoT Management Console From navigation panel click on Inventory. Select the Edge Device where the Connector is installed and from dropdown menu on the right select Add Sensor Choose the OPC UA from the Connectors section. Provide the Node IDs as they are specified in the server. Associate the OPC UA Nodes with a metric name that will be displayed in Teamviewer IoT Cloud. All the metrics are grouped in a sensor instance. Finally provide the scan rate at which the data will be requested from the server and save your configuration. Monitor the values received from the OPC UA Server by pining the configured metrics to the Dashboard.      
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