{"id":721,"date":"2020-10-15T09:07:04","date_gmt":"2020-10-15T09:07:04","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=721"},"modified":"2020-10-15T09:12:21","modified_gmt":"2020-10-15T09:12:21","slug":"pyload-example-generator-for-tank","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/pyload-example-generator-for-tank\/","title":{"rendered":"Pyload example generator for Tank"},"content":{"rendered":"<p>Tank is one of the elements of a water network infrastructure. Now in this <a href=\"https:\/\/smartdatamodels.org\/extra\/payload_generator.php?token=7&amp;dataModel=https:\/\/raw.githubusercontent.com\/smart-data-models\/data-models\/master\/templates\/examples\/Tank-example-template.json\">link<\/a>, you can generate random examples of a Tank. Refresh the page and you&#8217;ll get several examples.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-722\" src=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2020\/10\/Selection_161.png\" alt=\"\" width=\"761\" height=\"553\" srcset=\"https:\/\/smartdatamodels.org\/wp-content\/uploads\/2020\/10\/Selection_161.png 761w, https:\/\/smartdatamodels.org\/wp-content\/uploads\/2020\/10\/Selection_161-300x218.png 300w\" sizes=\"auto, (max-width: 761px) 100vw, 761px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tank is one of the elements of a water network infrastructure. Now in this link, you can generate random examples of a Tank. Refresh the page and you&#8217;ll get several examples. <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/pyload-example-generator-for-tank\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","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":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[117,30],"tags":[],"class_list":["post-721","post","type-post","status-publish","format-standard","hentry","category-smart-water","category-water"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":274,"url":"https:\/\/smartdatamodels.org\/index.php\/new-models-in-smart-water-domain\/","url_meta":{"origin":721,"position":0},"title":"New models in Smart Water domain","author":"maestro","date":"05\/04\/2020","format":false,"excerpt":"The models are available in the subject smart-data-models \/ dataModel.WaterNetworkManagement Curve Junction Pattern Pipe Pump Reservoir Tank Valve As an enabler for the integration with EPANET","rel":"","context":"In &quot;Water&quot;","block_context":{"text":"Water","link":"https:\/\/smartdatamodels.org\/index.php\/category\/water\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":8638,"url":"https:\/\/smartdatamodels.org\/index.php\/spaceheater-switchingdevice-tank-transformer-transportelement-tubebundle-unitarycontrolelement-valve-vibrationisolator-data-models-in-s4bldg-subject\/","url_meta":{"origin":721,"position":1},"title":"SpaceHeater, SwitchingDevice, Tank, Transformer, TransportElement, TubeBundle, UnitaryControlElement, Valve, VibrationIsolator data models in S4BLDG subject","author":"maestro","date":"04\/05\/2023","format":false,"excerpt":"The new subject datamodel.S4BLDG is mapping the data models from SAREF for buildings 1.1.2. Thanks to the contributors Grzegorz Wiszniewski and Jakob Bj\u00f8rnskov t the project Twin4Build \u2013 A holistic Digital Twin platform for decision-making support over the whole building life cycle. SpaceHeater. Space heaters utilize a combination of radiation\u2026","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":536,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-smart-water-data-models\/","url_meta":{"origin":721,"position":2},"title":"Updated Smart Water data models","author":"maestro","date":"31\/07\/2020","format":false,"excerpt":"Smart water data models for subject water network management have been updated to align them with current guidelines. These data model will allow you to connect your NGSI platform with EPANET. There are no structural changes, but the definitions are located in the subject shared schema. It affects to Curve\u2026","rel":"","context":"In &quot;Smart Water Domain&quot;","block_context":{"text":"Smart Water Domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-water\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2059,"url":"https:\/\/smartdatamodels.org\/index.php\/4-new-data-models-for-wastewater\/","url_meta":{"origin":721,"position":3},"title":"4 new data models for WasteWater","author":"maestro","date":"08\/04\/2021","format":false,"excerpt":"4 new data models for datamodel.wasteWater Subject Blower. This entity contains a harmonized description of a Blower made for the Wastewater treatment domain. The entity represents a Blower that is used for aeration purposes in the wastewater treatment process. Important parameters are measured to regulate and measure the amount of\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":2048,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-all-the-data-models-11-in-subject-waterdistributionmanagement-epanet\/","url_meta":{"origin":721,"position":4},"title":"Updated all the data models (11) in subject WaterDistributionManagement EPANET","author":"maestro","date":"05\/04\/2021","format":false,"excerpt":"The data models of the subject WaterDistributionManagement EPANET have been updated with flow properties and other improvements. New properties are already available for search in the database. Additionally, there is an alpha version of the German translation of the specification. Curve. This entity contains a harmonized description of a generic\u2026","rel":"","context":"In &quot;Smart Water Domain&quot;","block_context":{"text":"Smart Water Domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-water\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2594,"url":"https:\/\/smartdatamodels.org\/index.php\/geojson-features-format-examples-available-at-examples-directory\/","url_meta":{"origin":721,"position":5},"title":"Geojson features format examples available at examples directory","author":"maestro","date":"07\/06\/2021","format":false,"excerpt":"Those data models containing examples with a geoproperty, now there also include another file named: example-geojsonfeature.json with this format. So not all the data models include this example, which is generated automatically (so there is not a need to be contributed). See an example: \u00a0 \u00a0","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\/721","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=721"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/721\/revisions"}],"predecessor-version":[{"id":723,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/721\/revisions\/723"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=721"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=721"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=721"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}