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HomeIoTIngesting and managing knowledge from industrial tools with AWS IoT SiteWise

Ingesting and managing knowledge from industrial tools with AWS IoT SiteWise


AWS IoT SiteWise is a managed service that simplifies amassing, organizing, and analyzing industrial tools knowledge at scale. With AWS IoT SiteWise, prospects can collect knowledge reliably from a number of amenities, construction it, and make it accessible and comprehensible with out growing extra software program. With tools knowledge saved in AWS IoT SiteWise, prospects can assess the efficiency of their industrial tools remotely and throughout places. This visibility throughout industrial amenities permits prospects to streamline operations, in addition to determine gaps in manufacturing and waste. As well as, AWS IoT SiteWise Edge runs on-premises, securely connecting to and studying knowledge from tools or native historian databases. On Nov twenty fourth 2021, AWS IoT SiteWise introduced three new enhancements that make it simpler to ingest tools knowledge to the cloud. Prior to those enhancements, prospects needed to mannequin their tools earlier than ingesting knowledge to AWS IoT SiteWise. Now, Clients can ingest knowledge into the cloud as quickly as their tools is related to AWS IoT SiteWise. Within the weblog, we are going to cowl particulars, advantages, and finest practices for patrons utilizing AWS IoT SiteWise with disassociated knowledge ingestion.

Improved asset modeling expertise

Clients use AWS IoT SiteWise to construct fashions of their bodily operations that signify their belongings, processes, and amenities, which is able to assist them perceive industrial knowledge within the context of their tools. As soon as asset fashions are created, prospects can outline an asset hierarchy to precisely signify relationships between gadgets and tools inside a single facility or throughout a number of amenities. Our prospects inform us that modeling manufacturing operation and tools may very well be a prolonged course of, and it adjustments and evolves over time. Now with the disassociated knowledge ingestion characteristic, all knowledge streams will likely be ingested to the cloud with out the prerequisite of associating them to belongings. Clients can ingest knowledge streams via an AWS IoT SiteWise Edge gateway, AWS IoT Core, or instantly utilizing AWS IoT SiteWise batch PUT API. It additionally offers you the flexibleness to mannequin your manufacturing operation after knowledge ingestion. As your manufacturing surroundings evolves, you may adapt to adjustments and replace knowledge stream and asset affiliation with none knowledge loss. It results in a virtuous cycle of asset modeling expertise as illustrated within the virtuous cycle of asset modeling under.

          Virtuous cycle of asset modeling

While you join tools to AWS IoT SiteWise, tools knowledge are represented as knowledge streams. Every knowledge stream represents a measurement that may be related as a property for a digital illustration of kit in AWS IoT SiteWise. An asset mannequin is a digital illustration of a sort of kit and consists of a number of properties which might be measurements from the tools. Utilizing an asset mannequin, you create an asset that represents a bodily piece of kit in your manufacturing operations. You possibly can then outline hierarchies of belongings to arrange digital representations of kit in your manufacturing surroundings. With the power of disassociating and re-associating knowledge streams to belongings, you may proceed to evolve asset modeling to signify the most recent state of your manufacturing surroundings. For instance, in discrete manufacturing, it’s widespread for a bit of kit to be bodily moved to a different location. On this situation, you may replace Hierarchy definitions in asset mannequin to mirror the most recent change on the manufacturing flooring. As well as, all knowledge you collected remains to be retained with no loss through the reconfiguration.

Enabling disassociated knowledge ingestion

Disassociated knowledge ingestion is enabled by default for brand spanking new AWS IoT SiteWise prospects (AWS accounts which have by no means used AWS IoT SiteWise service). Clients with an present AWS IoT SiteWise setup can allow the characteristic with one easy step. Within the AWS IoT SiteWise console below Settings, select Information Ingestion, after which allow Disassociated knowledge ingestion.

Enabling the brand new knowledge ingestion mode in AWS IoT SiteWise introduces a brand new useful resource referred to as Information stream that’s time sequence knowledge. Information stream and asset at the moment are assets in AWS IoT SiteWise that you would be able to handle independently. Clients can not disable the characteristic since entry management to knowledge streams and belongings are managed independently. For those who don’t see “Information Ingestion” setting, your account has this characteristic enabled already.

You possibly can nonetheless disable the disassociated knowledge ingestion from the gateway utilizing entry management (IAM), by writing a coverage utilizing the isAssociatedWithAssetProperty situation key. The worth introduced by this situation will likely be true if the PropertyAlias is related to an AssetProperty, or in any other case false. This additionally allows a situation the place one gateway is the “improvement” gateway and permits all knowledge streams, whereas one other is the “manufacturing” gateways and doesn’t enable disassociated knowledge ingestion.

The next instance IAM coverage would disable knowledge ingestion of information streams not related to any asset:

{
  "Model": "2012-10-17",
  "Assertion": [
    {
      "Sid": "PutAssetPropertyValuesPropertyAliasAllowedUnmodeledBlocked",
      "Effect": "Allow",
      "Action": "iotsitewise:BatchPutAssetPropertyValue",
      "Resource": "arn:aws:iotsitewise:*:*:timeseries/*",
      "Condition": {
        "StringLikeIfExists": {
          "iotsitewise:isAssociatedWithAssetProperty": "true"
        }
      }
    }
  ]
}

Information streams administration

You possibly can handle knowledge streams and get on the spot suggestions on ingested knowledge streams via the AWS IoT SiteWise console. The information streams web page has pagination and configurable web page measurement to scale with numerous knowledge streams. You possibly can filter knowledge streams by utilizing the prefix of the information stream identify or by whether or not or not knowledge streams are related to belongings. To make sure that all knowledge streams are related to belongings, prospects can use the AWS IoT SiteWise console or the ListTimeSeries API to filter for disassociated knowledge streams. Then, you may affiliate these knowledge streams with belongings.

The next steps present how one can affiliate and disassociate knowledge streams with asset properties.

  1. Go to the Information streams web page and choose the information streams you need to affiliate or disassociate with asset properties as proven under.
  2. Click on “Handle knowledge streams” button on prime proper, and it’ll take you to “Handle knowledge streams” web page.
  3. On “Handle knowledge streams” web page as proven within the following picture, it is possible for you to so as to add or take away asset properties for knowledge streams.
  4. Clicking the “Replace” button will replace all adjustments you made, as proven in Standing column.

Enhanced entry management

While you learn or write time-series knowledge in AWS IoT SiteWise, that knowledge is a part of a Information stream. AWS IoT SiteWise maintains associations between AssetProperty (a DataType in SiteWise that comprises asset property data), PropertyAlias (the alias of the property), and Information Stream, offering a layer of indirection so {that a} Information Stream could be moved with out having to repeat knowledge: that is known as Mannequin Mutability.

A Information Stream have to be certain to both an AssetProperty, a PropertyAlias, or each. If an AssetProperty is certain to a PropertyAlias, they each are additionally certain to the identical Information Stream. Utilizing the DisassociateTimeSeriesFromAssetProperty API, you may unbind a Information Stream from its AssetProperty, in order that it’s certain solely to a PropertyAlias. Then, you may bind it to a different AssetProperty by calling the AssociateTimeSeriesToAssetProperty API. You possibly can mix this with the prevailing capacity to alter a PropertyAlias utilizing the UpdateAssetProperty API to replace your knowledge group inside AWS IoT SiteWise with full flexibility. You may also accomplish this via console as mentioned above.

The Information Stream useful resource kind can be utilized with IAM to use completely different insurance policies based mostly on how the information are recognized. When recognized by PropertyAlias, a time sequence useful resource have to be used. A useful resource for a time sequence seems to be just like:

arn:aws:iotsitewise:area:123456789012:timeseries/<DATA_STREAM_ID>

When recognized by AssetId and PropertyId, it’s a part of an Asset Useful resource. The asset useful resource ARN (Amazon Useful resource Title) seems to be just like:

arn:aws:iotsitewise:area:123456789012:asset/<ASSET_ID>

You possibly can configure entry management utilizing a Information stream ARN and the PropertyAliasPrefix situation in order that your Gateway can solely write to Information Streams matching a given prefix.

{
  "Model": "2012-10-17",
  "Assertion": [
    {
      "Sid": "PutAssetPropertyValuesAliasesSiteAPrefixOnly",
      "Effect": "Allow",
      "Action": "iotsitewise:BatchPutAssetPropertyValue",
      "Resource": "arn:aws:iotsitewise:*:*:timeseries/*",
      "Condition": {
        "StringLikeIfExists": {
          "iotsitewise:propertyAlias": "/site-a/*"
        }
      }
    }
  ]
}

Mix this with Gateway help for computerized prefixing and it turns into simple to isolate manufacturing unit websites from one another throughout the similar account. Add within the AssetHierarchyPath situation key, and it turns into simple to carve out roles with minimal rights for each directors and operators.

{
  "Model": "2012-10-17",
  "Assertion": [
    {
      "Sid": "PutAssetPropertyValuesAssetsSiteBHierarchyOnly",
      "Effect": "Allow",
      "Action": "iotsitewise:BatchPutAssetPropertyValue",
      "Resource": "arn:aws:iotsitewise:*:*:asset/*",
      "Condition": {
        "StringLikeIfExists": {
          "iotsitewise:assetHierarchyPath": "/a1b2c3d4-5678-90ab-cdef-22222EXAMPLE/a1b2c3d4-5678-90ab-cdef-66666EXAMPLE"
        }
      }
    }
  ]
}

The AssetHierarchyPath is the asset’s hierarchy path. It’s a string of asset IDs every separated by a ahead slash. This situation key worth seems to be just like:

/a1b2c3d4-5678-90ab-cdef-22222EXAMPLE/a1b2c3d4-5678-90ab-cdef-66666EXAMPLE

You possibly can lookup the Information stream identifier by utilizing the DescribeTimeSeries API or by studying metadata exported to Amazon S3. This identifier is created when knowledge is first ingested for the Information Stream, so a caller have to be approved to the Useful resource arn:aws:iotsitewise:area:123456789012:timeseries/*  to be able to create new Information streams.

Conclusion

On this weblog put up, we outlined not too long ago launched options to ingest disassociated knowledge streams and velocity up time from ingestion to cloud. With industrial tools knowledge within the cloud, you may have flexibility to affiliate, disassociate, and re-associate knowledge streams together with your industrial belongings. Now, you may get began quicker to ingest and eat your industrial knowledge with AWS IoT SiteWise. To be taught extra, please go to Managing knowledge streams and How AWS IoT SiteWise works with IAM in our Consumer Information.

Concerning the Authors

    Julie Zhao 

Julie is a Senior Product Supervisor on AWS Industrial IoT workforce. She joined AWS in 2021 and brings three years of startup expertise main merchandise in Industrial IoT. Previous to startups, she spent over 10 years in networking with Cisco and Juniper throughout engineering and product. She is enthusiastic about constructing merchandise in Industrial IoT.

    Philipp Sacha

Philipp is a Specialist Options Architect for IoT at Amazon Internet Companies supporting prospects within the IoT space. He joined AWS in 2015 as a normal Options Architect and moved in 2018 into the function of a Specialist within the IoT space.

    John Byrne

John is a Senior SDE with AWS SiteWise and beforehand with Amazon SageMaker Floor Reality. His first job, whereas nonetheless in highschool, was at a neighborhood dial-up ISP. John has centered his 9 12 months profession at Amazon on constructing extremely obtainable, extremely scalable backend programs.

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