{"id":12963,"date":"2025-02-19T08:30:25","date_gmt":"2025-02-19T07:30:25","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=12963"},"modified":"2025-02-19T00:18:46","modified_gmt":"2025-02-18T23:18:46","slug":"two-new-data-models-timeseries-and-machinetool","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/two-new-data-models-timeseries-and-machinetool\/","title":{"rendered":"Two new data models TimeSeries and MachineTool"},"content":{"rendered":"<p>There are two new data models <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OPCUA\/tree\/master\/MachineTool\">MachineTool<\/a> at <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OPCUA\/tree\/master\">OPCUA<\/a> subject and <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.AAS\/tree\/master\/TimeSeries\">TimeSeries<\/a> in <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.AAS\">AAS<\/a> subject<\/p>\n<p>Thanks to Manfredi Pistone from <a href=\"https:\/\/www.eng.it\">Engineering<\/a> for the contributions<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-10318 size-medium\" src=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2024\/04\/AAS_image-300x169.jpg\" alt=\"\" width=\"300\" height=\"169\" srcset=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2024\/04\/AAS_image-300x169.jpg 300w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2024\/04\/AAS_image-1024x576.jpg 1024w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2024\/04\/AAS_image-768x432.jpg 768w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2024\/04\/AAS_image-622x350.jpg 622w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2024\/04\/AAS_image-150x84.jpg 150w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2024\/04\/AAS_image.jpg 1280w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><img decoding=\"async\" src=\"https:\/\/opcfoundation.org\/wp-content\/themes\/opc\/images\/logo.jpg\" alt=\"logo\" \/><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.OPCUA\/blob\/master\/MachineTool\/README.md\">MachineTool<\/a>. MachineTool is a mechanical device which is fixed (i.e. not mobile) and powered (typically by electricity and compressed air), typically used to process workpieces by selective removal\/addition of material or mechanical deformation<\/li>\n<li><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.AAS\/blob\/master\/TimeSeries\/README.md\">TimeSeries<\/a>. Time Series can represent raw data, but can also represent main characteristics, textual descriptions or events in a concise way.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>There are two new data models MachineTool at OPCUA subject and TimeSeries in AAS subject Thanks to Manfredi Pistone from Engineering for the contributions &nbsp; MachineTool. MachineTool is a mechanical device which is fixed (i.e. not mobile) and powered (typically by electricity and compressed air), typically used to process workpieces&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/two-new-data-models-timeseries-and-machinetool\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[119,88],"tags":[],"class_list":["post-12963","post","type-post","status-publish","format-standard","hentry","category-smart-robotics","category-smart-sensoring"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":658,"url":"https:\/\/smartdatamodels.org\/index.php\/two-new-data-models\/","url_meta":{"origin":12963,"position":0},"title":"Two new data models","author":"maestro","date":"17\/09\/2020","format":false,"excerpt":"The greenEnergy Subject now compiles two data models GreenEnergyGenerator and GreenEnergyMeasurement inherited (recover) from former synchronicity project. Thanks to Esteban Rivas, and his entity the La Factoria BikeIn.","rel":"","context":"In &quot;Smart Cities domain&quot;","block_context":{"text":"Smart Cities domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-cities\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2927,"url":"https:\/\/smartdatamodels.org\/index.php\/new-features-in-the-check-of-new-data-models\/","url_meta":{"origin":12963,"position":1},"title":"New features in the check of new data models","author":"maestro","date":"16\/08\/2021","format":false,"excerpt":"Now it is possible to check if the defined properties of a new model have already been used in other models. Thus there are two new sections in the check of the data model: alreadyUsedproperties availableProperties","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2021\/08\/NEW_SECTIONS.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":2989,"url":"https:\/\/smartdatamodels.org\/index.php\/3-new-data-models-in-frictionlessdata-subject-csvdialectfrictionlessdata-dataresourcefrictionlessdata-and-tableschemafrictionlessdata\/","url_meta":{"origin":12963,"position":2},"title":"3 new data models in FrictionlessData subject CSVDialectFrictionlessData, DataResourceFrictionlessData and TableSchemaFrictionlessData","author":"maestro","date":"24\/08\/2021","format":false,"excerpt":"The adaptation of the frictionless data standard is completed with these three new data models in the datamodel.FrictionlessData subject CSVDialectFrictionlessData. The CSV dialect descriptor. Converted for Smart Data Models initiative from original frictionless data DataResourceFrictionlessData. Data Resource. Converted for Smart Data Models initiative from original frictionless data TableSchemaFrictionlessData. A Table\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/frictionlessdata.io\/img\/frictionless-color-full-logo.svg","width":350,"height":200,"srcset":"https:\/\/frictionlessdata.io\/img\/frictionless-color-full-logo.svg 1x, https:\/\/frictionlessdata.io\/img\/frictionless-color-full-logo.svg 1.5x, https:\/\/frictionlessdata.io\/img\/frictionless-color-full-logo.svg 2x"},"classes":[]},{"id":7722,"url":"https:\/\/smartdatamodels.org\/index.php\/new-database-of-data-models-versions\/","url_meta":{"origin":12963,"position":3},"title":"New database of data models&#8217; versions","author":"maestro","date":"28\/11\/2022","format":false,"excerpt":"In the main menu, it has been extended the submenu of list data models with a complete database of all versions of the data models. It includes not only the data model, subject, and version but also the data directly linked to the raw version of the data model. You\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1910,"url":"https:\/\/smartdatamodels.org\/index.php\/two-new-data-models-photovoltaicdevice-and-photovoltaicmeasurement-in-greenenergy-subject\/","url_meta":{"origin":12963,"position":4},"title":"Two new data models PhotovoltaicDevice and PhotovoltaicMeasurement in GreenEnergy Subject","author":"maestro","date":"15\/03\/2021","format":false,"excerpt":"Two new data models, PhotovoltaicDevice and PhotovoltaicMeasurement are available in the dataModel.GreenEnergy Subject. PhotovoltaicDevice: The Data Model is intended to describe the mechanical, electrical, and thermal characteristics of photo-voltaic panels according to STC - Standard Test Condition and NOCT - Normal Operating Cell Temperature PhotovoltaicMeasurement: The Data Model is intended\u2026","rel":"","context":"In &quot;Smart Energy domain&quot;","block_context":{"text":"Smart Energy domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-energy-domain\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":8429,"url":"https:\/\/smartdatamodels.org\/index.php\/mastersheet-for-submission-of-simple-data-models\/","url_meta":{"origin":12963,"position":5},"title":"MasterSheet for submission of simple data models","author":"maestro","date":"13\/03\/2023","format":false,"excerpt":"We have released a master sheet that simplifies the contribution to the smart data models. It uploads the data model to a new repository called drafted. The video help is also available Steps for using the spreadsheet 0.- Make a local copy in your google account and grant permission the\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/03\/sheet.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/12963","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=12963"}],"version-history":[{"count":2,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/12963\/revisions"}],"predecessor-version":[{"id":12966,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/12963\/revisions\/12966"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=12963"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=12963"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=12963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}