{"id":6183,"date":"2022-06-21T20:20:55","date_gmt":"2022-06-21T18:20:55","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=6183"},"modified":"2022-06-21T20:20:55","modified_gmt":"2022-06-21T18:20:55","slug":"updated-3-data-models-in-environment-subject","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/updated-3-data-models-in-environment-subject\/","title":{"rendered":"updated 3 data models in environment subject"},"content":{"rendered":"<p>The data models <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/tree\/master\/AirQualityMonitoring\">AirQualityMonitoring<\/a>, <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/tree\/master\/AirQualityObserved\">AirQualityObserved<\/a>, and <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/tree\/master\/NoiseLevelObserved\">NoiseLevelObserved<\/a> have been extended with additional attributes. These data models have been tested in three use cases in the cities\/regions of\u00a0 Murcia \/ Molina de Segura, (Spain), Nice Cote D&#8217;azur (France), and Flanders (Belgium).<\/p>\n<p>Soon other data models will be released thanks to this collaboration.<\/p>\n<p><a title=\"A loose necktie, CC BY-SA 4.0 &lt;https:\/\/creativecommons.org\/licenses\/by-sa\/4.0&gt;, via Wikimedia Commons\" href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Greenhouse-effect-t2.svg\"><img decoding=\"async\" src=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/thumb\/0\/04\/Greenhouse-effect-t2.svg\/512px-Greenhouse-effect-t2.svg.png\" alt=\"Greenhouse-effect-t2\" width=\"512\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The data models AirQualityMonitoring, AirQualityObserved, and NoiseLevelObserved have been extended with additional attributes. These data models have been tested in three use cases in the cities\/regions of\u00a0 Murcia \/ Molina de Segura, (Spain), Nice Cote D&#8217;azur (France), and Flanders (Belgium). Soon other data models will be released thanks to this&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/updated-3-data-models-in-environment-subject\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","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":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[113],"tags":[],"class_list":["post-6183","post","type-post","status-publish","format-standard","hentry","category-smart-environment"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":1252,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-models-for-environment-electromagneticobserved-and-indoorenvironmentobserved\/","url_meta":{"origin":6183,"position":0},"title":"New data models for Environment.  ElectroMagneticObserved and IndoorEnvironmentObserved","author":"maestro","date":"04\/01\/2021","format":false,"excerpt":"There are two new data models ElectroMagneticObserved and IndoorEnvironmentObserved ElectroMagneticObserved. The Data Model is intended to measure excessive electric and magnetic fields (EMFs), or radiation in a work or public environment according to the level of exposure to electromagnetic fields on the air. The frequency of the Hertzian waves is\u2026","rel":"","context":"In &quot;Environment&quot;","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":6780,"url":"https:\/\/smartdatamodels.org\/index.php\/3-new-data-models-for-environment-and-mobility\/","url_meta":{"origin":6183,"position":1},"title":"3 new data models for environment (and mobility)","author":"maestro","date":"26\/08\/2022","format":false,"excerpt":"There are 3 new data models coming from the collaboration with the GreenMov project. They are located at the Environment subject. NoisePollutionForecast. Noise Pollution forecast stores the expectation about noise pollution based on some input elements and the noise elements present. TrafficEnvironmentImpact. Environmental Impact of traffic based on the vehicles\u2026","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/08\/logo_GreenMov-300x95-1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":728,"url":"https:\/\/smartdatamodels.org\/index.php\/new-harmonized-data-models\/","url_meta":{"origin":6183,"position":2},"title":"New harmonized data models","author":"maestro","date":"16\/10\/2020","format":false,"excerpt":"Harmonization repository is dedicated to those data models that are mostly accepted and only requirements of consistency, complete documentation and examples availability. Here there is a list of coming data models in different domains: Battery StorageBattery StorageBatteryDevice StorageBatteryMeasurement Energy ACMeasurement InverterDevice PhotoVoltaicDevice PhotovoltaicMeasurement Environment ElectroMagneticObserved PhreaticLevel RainFallRadarObservation Ports BoatAtuthorized BoatPlacesAvailable\u2026","rel":"","context":"In &quot;Battery&quot;","block_context":{"text":"Battery","link":"https:\/\/smartdatamodels.org\/index.php\/category\/battery\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":7722,"url":"https:\/\/smartdatamodels.org\/index.php\/new-database-of-data-models-versions\/","url_meta":{"origin":6183,"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":9325,"url":"https:\/\/smartdatamodels.org\/index.php\/discord-channel-for-smart-data-models-smart-data-models\/","url_meta":{"origin":6183,"position":4},"title":"Discord channel for Smart data models, #smart-data-models","author":"maestro","date":"27\/07\/2023","format":false,"excerpt":"Now you can see in the right widget a new entry with the link for our channel on discord #smart-data-models, you can also send your question there. (But only once you have joined by using this invitation ) If you need help on discord channel you can browse this link.\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\/07\/Discord-Logo-300x169.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":544,"url":"https:\/\/smartdatamodels.org\/index.php\/searchable-descriptions-of-data-models\/","url_meta":{"origin":6183,"position":5},"title":"Searchable descriptions of data models","author":"maestro","date":"06\/08\/2020","format":false,"excerpt":"In the upper menu (option Search descriptions) there is a searchable database of the descriptions for all the properties across the different data models. Try it out here. This DDBB is updated daily.","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":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/6183","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=6183"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/6183\/revisions"}],"predecessor-version":[{"id":6184,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/6183\/revisions\/6184"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=6183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=6183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=6183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}