I am getting the error "login.microsoftonline.com refused to connect" when trying to connect to https://www.azureiotsolutions.com/Accelerators#sdssolutions/new/predictive-maintenance

I use Edge Dev and my personal MSC account to connect. Please see the attached pic.

Thanks.

I am trying to deploy the Remote monitoring but it is not successfully provisioned because It doesn’t deploy ML workspaces like Predictive Maintenance which is working but it is failing because our organization does not allow public IPs to be attached to VM’s NICs. This is the company policy. this is already developed model so i am not sure if we can change the configuration.

is there a workaround to solve this issue?

For me, it will work for some days and then at some point, I can no longer start a simulation and I have to delete the entire solution accelerator and create a new one and then the simulation will start in seconds. I've been through this 3 or 4 times now.

Either the solution is broken or the documentation is wrong. Creating an advance device will only send the initial values as telemetry.

Either the solution is broken or the documentation is wrong. Creating an advance device will only send the initial values as telemetry.

need help!!

need help!!

login.microsoftonline.com refused to connect.

We used the accelerator to generate IOT data and then can view the data in TSI. However when we try to view the data view PowerBI , no 'raw' data can be viewed in PowerBI when using the TSI connector to PowerBI approach.

Here is a link to the details on how I am trying to view TSI data in PowerBI:

https://docs.microsoft.com/en-us/azure/time-series-insights/how-to-connect-power-bi

Where can I see what regions this solution is compatible with?

Alert is not triggered when rule is set to “Equals zero” for Remote Monitoring solution.

Repro steps:

1. Create a Remote Monitoring solution.




2. Create a alert rule for Engines Device group that is set when the fuel level is zero for 1 minute. Please see ruledetails.png.




3. Select engine-01.0 and run emptytank method




4. Check the fuellevel is set to zero to make sure emptytank method succeeded. Please see devicedetails.png




5. This alert is expected to trigger since fuellevel is set to zero but no alerts are triggered after 1 minute.

I'm unable to sign in to my demo Connected Factory SA instance as it does not think I have the required Admin rights

Pricing isn't clear at the start and so within just a few days, one can amass a really high bill without understanding. It would be nice to EASILY understand how to control the cost BEFORE starting. It would be really nice to be able to create a test account - I would be happy to pay for a sandbox, if it were easy. Today I just canceled my accelerator because we spent over $250 without understanding how to even use the accelerator. Very unhappy about that.

It would be helpful if the factory, equipment can be configurable in the solution accelerator which can be used as mock up screens for demonstrating the azure IOT stack. This can be in the form of configuraiton of the factory to label the name of the industrial enterprise, equpments and the location on the world map. This will almost can be used as wire frames and PoC screen.

As per the documentation, admins can add a new OPC UA URI in the Browse tab. https://docs.microsoft.com/en-us/azure/iot-accelerators/iot-accelerators-connected-factory-customize#data-sources

However In my solution, I dont see that option. I have installed the Industrial IoT Gateway on my Iot Edge Server and is listed under the Connected factory Iot Hub edge servers with opctwin and opcpublisher modules in it.

I recently donated $200 to the Solution Accelerator development program and not terribly happy about it. The accelerator worked just fine but it would be so much more useful if you templated the deployment. If ARM templates were used for deployment, the solution would be easy to park and resume, thus pausing the Azure charges.

Reference https://docs.microsoft.com/en-us/azure/iot-accelerators/iot-accelerators-remote-monitoring-deploy-cli

According to this page, the options to deploy remote monitoring include 4 local deployments, and one deployment using a CLI provided by node.

Following the CLI method a human has to log in and then "follow the on screen instructions" to complete deployment.

How are we supposed to create an azure devops release pipeline for this solution?

When I try to open the ML workspace of the prediction maintenance accelerator, it give me this error messgae!!

I am in need to deploy to see the functionalities and services needed for this type of project and also in need to know if the backend is on c#

not working for me. I get "Please correct input errors below." but no errors were shown