{"id":13127,"date":"2015-08-10T18:41:08","date_gmt":"2015-08-10T17:41:08","guid":{"rendered":"http:\/\/www.recantha.co.uk\/blog\/?p=13127"},"modified":"2015-08-10T17:48:08","modified_gmt":"2015-08-10T16:48:08","slug":"oxford-flood-network-uses-raspberry-pis-to-detect-rising-water","status":"publish","type":"post","link":"https:\/\/www.recantha.co.uk\/blog\/?p=13127","title":{"rendered":"Oxford Flood Network uses Raspberry Pis to detect rising water"},"content":{"rendered":"<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/i0.wp.com\/40.media.tumblr.com\/ccc7fbb285047270bae081c4553b6276\/tumblr_inline_nnjga7Yb431qz9jsi_500.jpg?resize=500%2C667\" alt=\"\" width=\"500\" height=\"667\" \/><\/p>\n<p>The <a href=\"http:\/\/oxfloodnet.co.uk\/\" target=\"_blank\">Oxford Flood Network<\/a> uses a network of ultrasonic sensors in a flood-prone area to detect water levels and broadcast their data over short distances to Raspberry Pi-based gateways; these aggregate the data and pass it to an open online database.<\/p>\n<p>The detection devices are Arduino-based. They then communicate to the Raspberry Pi via RF and the data is shared via ethernet to a house or business router via ethernet cable.<\/p>\n<p>They are looking for people to contribute to the project by hosting devices on river overhangs so that the ultrasonic sensor can point downwards and detect the water level. If you are able to help, <a href=\"http:\/\/goo.gl\/forms\/ZROHjP9QlC\" target=\"_blank\">fill in this online form<\/a>.<\/p>\n<p>You can <a href=\"http:\/\/oxfloodnet.co.uk\/\" target=\"_blank\">read more about the project on their website<\/a>.<\/p>\n<p><em>Thanks to the Raspberry Pi Foundation for spotting this one.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Oxford Flood Network uses a network of ultrasonic sensors in a flood-prone area to detect water levels and broadcast their data over short distances to Raspberry Pi-based gateways; these aggregate the data and pass it to an open online&hellip;<\/p>\n<p class=\"more-link-p\"><a class=\"more-link\" href=\"https:\/\/www.recantha.co.uk\/blog\/?p=13127\">Read more &rarr;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"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}},"categories":[55,70,43,62],"tags":[],"class_list":["post-13127","post","type-post","status-publish","format-standard","hentry","category-arduino","category-nature","category-research","category-sensors"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - 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The signals are received by an Arduino Micro and a Raspberry Pi is then used to interpret the incoming data and produce a gamified virtual reality representation\u2026","rel":"","context":"In &quot;Arduino&quot;","block_context":{"text":"Arduino","link":"https:\/\/www.recantha.co.uk\/blog\/?cat=55"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/www.recantha.co.uk\/blog\/wp-content\/uploads\/2018\/03\/hero.jpg?fit=1024%2C600&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.recantha.co.uk\/blog\/wp-content\/uploads\/2018\/03\/hero.jpg?fit=1024%2C600&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/www.recantha.co.uk\/blog\/wp-content\/uploads\/2018\/03\/hero.jpg?fit=1024%2C600&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/www.recantha.co.uk\/blog\/wp-content\/uploads\/2018\/03\/hero.jpg?fit=1024%2C600&ssl=1&resize=700%2C400 2x"},"classes":[]},{"id":16658,"url":"https:\/\/www.recantha.co.uk\/blog\/?p=16658","url_meta":{"origin":13127,"position":2},"title":"Ultrasonic sensors and FluidSynth used together to create a Raspberry Pi-powered synthesizer","author":"Michael Horne","date":"29 March 2017","format":false,"excerpt":"Andy Grove has created a musical instrument by adding 8 ultrasonic distance sensors to a Raspberry Pi, via an Octasonic breakout board. 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