Top Tweets for #MindConnect

🧵 CONNECTING YOUR MIND TO THE CLOUD ☁️ ▪️MindConnect - NodeJS NodeJS Library for Industrial IoT Connectivity - TypeScript SDK for Industrial IoT - Command Line Interface - Development Proxy - typescript-sdk is waiting for your contributions! https://t.co/W2trLR0P10 🚨 MindSphere has evolved into Insights Hub. https://t.co/uKKy1Xllvf ▪️This library still uses the name MindSphere in class names etc. For compatibility reasons. https://t.co/RwhuZNEIiM ▪️System Tools Tutorials Learn more about different Insights Hub tools in the following tutorials: ▪️Asset Manager Create aspects, variables, types and a new asset in Insights Hub https://t.co/Qa6SfRuvb0 ◽Step 0: Create an asset type and aspect types Insights Hub V3 IoT model requires that you create an asset type and aspect types to describe your assets. For the example we will create an Asset Type of type "Engine" with two Aspect Types: Environment and Vibration. (Note that my tenant is called castidev, you will have to use your own tenant name) ◽Step 1: Create an asset Create an asset (In example it is called AcmeMotor) of type Engine in AssetManager for your data. ◽Step 2: Create an agent of type MindConnectLib in Insights Hub Create an agent in Asset Manager of type core.MindConnectLib create initial JSON token and store it to file (e.g. agentconfig.json) ◽Step 3 : Create an agent Read the initial configuration from the config file and create the agent. If you are using the SHARED_SECRET profile there is no need to setup the local certificate for the communication (recommended for smaller devices). If you want to use the RSA_3072 profile you must also set up the agent certificate. ◽Step 4: Onboard the agent The first operation is onboarding the agent. This creates a client secret which is used for the communication with Insights Hub. This data is stored by default in the .mc folder in your application if you don't change the base path in the constructor of the agent. Important: Make sure that your folder with the configurations is not reachable from the internet as it contains the client_secret for the authentication. ◽Step 5: Configure the data model and data mappings to asset variables. (via code) Important: From the version 3.8.0 it is possible to create the data source configuration and data mappings fully automatic via code First you need to create a data source configuration and then the data mappings: If you take a look at the Insights Hub configuration of your agent now, it should look like this: And the data mappings should be in place ◽Step 6: After this you can send the data in the code (If you were using UI to configure data mappings you will have long integers instead of human-readable data point Ids.) 6.1 — Using bulk upload If you don't want to send the data points one by one, you can also use the BulkPostData method Photo 1 — Asset Manager; Step 0 - Create an asset type and aspect types Photo 2 — Step 5; Configure the data model Photo 3 — Step 5; Data mappings to asset variables (via code)