{"id":2963,"date":"2021-08-17T17:24:01","date_gmt":"2021-08-17T15:24:01","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=2963"},"modified":"2021-08-17T17:24:01","modified_gmt":"2021-08-17T15:24:01","slug":"airqualitymonitoring","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/airqualitymonitoring\/","title":{"rendered":"AirQualityMonitoring"},"content":{"rendered":"<p><a href=\"https:\/\/iudx.org.in\">IUDX<\/a> one of the members of the Smart Data Models Steering board has contributed actively to the new data model in the <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\">Environment<\/a> subject.<\/p>\n<p>It is relevant the Time Series Aggregation (TSA) properties which allow storing the average of the parameter during a period, their maximum and minimum, and their instant value. It has been generalized and makes it available in the <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/blob\/master\/Environment-schema.json\">shared schema<\/a> for the subject.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/blob\/master\/AirQualityMonitoring\/README.md\">AirQualityMonitoring<\/a>: Air Quality Monitoring (AQM) Data Model.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>IUDX one of the members of the Smart Data Models Steering board has contributed actively to the new data model in the Environment subject. It is relevant the Time Series Aggregation (TSA) properties which allow storing the average of the parameter during a period, their maximum and minimum, and their&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/airqualitymonitoring\/\">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":[48,107],"tags":[],"class_list":["post-2963","post","type-post","status-publish","format-standard","hentry","category-environment","category-smart-cities"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":3403,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-environmentobserved-in-environment-subject\/","url_meta":{"origin":2963,"position":0},"title":"New Data Model EnvironmentObserved in environment Subject","author":"maestro","date":"26\/11\/2021","format":false,"excerpt":"There is a new data model in the subject dataModel.Environment, EnvironmentObserved. EnvironmentObserved. This entity contains a harmonized description of the environmental conditions observed at a particular location and time. This entity is primarily associated with the vertical segment of the environment and agriculture but may also be used in smart\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":"","width":0,"height":0},"classes":[]},{"id":2906,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-data-package-in-the-subject-frictionless-data\/","url_meta":{"origin":2963,"position":1},"title":"New data model data Package in the subject Frictionless Data","author":"maestro","date":"22\/07\/2021","format":false,"excerpt":"The new data model in the datamodel.FrictionlessData subject DataPackageFrictionlessData. Data Package is a simple specification for data access and delivery. Converted for Smart Data Models initiative from original frictionless data.","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":9246,"url":"https:\/\/smartdatamodels.org\/index.php\/nigthskyquality-data-model-at-environment-subject\/","url_meta":{"origin":2963,"position":2},"title":"NigthSkyQuality data Model at Environment subject","author":"maestro","date":"17\/07\/2023","format":false,"excerpt":"New data model at Environment subject, Night Sky Quality NightSkyQuality. Data regarding the observed sky quality and the status of the measuring device.","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":"","width":0,"height":0},"classes":[]},{"id":7477,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-mosquitodensity-at-environment-subject\/","url_meta":{"origin":2963,"position":3},"title":"New data model MosquitoDensity at Environment Subject","author":"maestro","date":"31\/10\/2022","format":false,"excerpt":"There is a new data model coming from the collaboration with IUDX, MosquitoDensity, to assess the density of this insect in the cities, located in the subject Environment. A Data Model for density of mosquitoes in cities.","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":"","width":0,"height":0},"classes":[]},{"id":1885,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-floodmonitoring-at-environment-subject\/","url_meta":{"origin":2963,"position":4},"title":"New data model FloodMonitoring at Environment Subject","author":"maestro","date":"10\/03\/2021","format":false,"excerpt":"A new data model, FloodMonitoring, in the Environment Subject\u00a0 from IUDX initiative is available: FloodMonitoring: Flood Sensor Data Model intended to represent the level of flooding w.r.t water flow\/level at a certain water mass (river, lake, etc.).","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":"","width":0,"height":0},"classes":[]},{"id":1862,"url":"https:\/\/smartdatamodels.org\/index.php\/extended-airqualityobserved-data-model-in-datamodel-environment-subject\/","url_meta":{"origin":2963,"position":5},"title":"Extended AirqualityObserved data model In datamodel.Environment Subject","author":"maestro","date":"04\/03\/2021","format":false,"excerpt":"It has been extended the data model of AirQualityObserved in the datamodel.Environment Subject. With the property, AirQualityIndex is the numerical value for the Air quality. This value is frequently transformed into qualitative scales (good, quite good, etc) \u00a0","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":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2963","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=2963"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2963\/revisions"}],"predecessor-version":[{"id":2964,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/2963\/revisions\/2964"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=2963"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=2963"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=2963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}