{"id":81584,"date":"2023-12-20T03:01:17","date_gmt":"2023-12-20T02:01:17","guid":{"rendered":"https:\/\/blog.bluebeam.com\/se\/?p=81584"},"modified":"2023-12-20T13:50:18","modified_gmt":"2023-12-20T12:50:18","slug":"construction-and-big-data","status":"publish","type":"post","link":"https:\/\/blog.bluebeam.com\/se\/construction-and-big-data\/","title":{"rendered":"Big data i byggbranschen"},"content":{"rendered":"\n

\u00d6kningen av big data inom och utanf\u00f6r byggbranschen<\/strong><\/h2>\n\n\n\n

De flesta \u00e4r medvetna om att dagens n\u00e4ringsliv \u00f6versv\u00e4mmas av ny teknologi och sofistikerade enheter f\u00f6r insamling av information som h\u00e5ller p\u00e5 att omvandla v\u00e5ra arbetsmetoder: Internet of Things, molnet, artificiell intelligens och i allt h\u00f6gre grad ocks\u00e5 big data.<\/p>\n\n\n\n

F\u00f6r vissa l\u00e5ter big data lite som Big Brother \u2013 ett mystiskt, allseende system d\u00e4r alla t\u00e4nkbara typer av information samlas in, utv\u00e4rderas och lagras i n\u00e5got skumt syfte.<\/p>\n\n\n\n

Men st\u00e4mmer den bilden verkligen? \u00c4ven om m\u00e5nga organisationer samlar in massor av personlig information i marknadsf\u00f6ringssyfte \u2013 t\u00e4nk till exempel p\u00e5 alla livsmedelsbutikers lojalitetskort \u2013 \u00e4r big data egentligen ingenting annat \u00e4n stora m\u00e4ngder varierande uppgifter<\/a> som \u00e4r breda och m\u00e5ngsidiga, fl\u00f6dar snabbt och st\u00e4ndigt v\u00e4xer samt kr\u00e4ver en enorm systemkapacitet f\u00f6r att bearbeta, analysera och dra slutsatser av.<\/p>\n\n\n\n

Big data har anv\u00e4nts i hela byggbranschen i ett antal \u00e5r<\/a>, \u00e4ven om det bara \u00e4r relativt nyligen som allt fler f\u00f6retag har b\u00f6rjat f\u00e5 grepp om konceptet. Och d\u00e5 finns det \u00e4nd\u00e5 ett argument som s\u00e4ger att det inte utnyttjas tillr\u00e4ckligt i branschens alla h\u00f6rn.<\/p>\n\n\n\n

Hur definieras big data \u00f6vergripande?<\/strong><\/h2>\n\n\n\n

Termen big data har funnits i ungef\u00e4r 30 \u00e5r. Det var John Mashey<\/a>, en pensionerad f\u00f6re detta chefsforskare p\u00e5 Silicon Graphics, som myntade begreppet som ett s\u00e4tt att beskriva hantering och analys av enorma datam\u00e4ngder.<\/p>\n\n\n\n

\u00c5r 2001 tog konsulten och teknikinnovat\u00f6ren Doug Laney<\/a> saken ett steg l\u00e4ngre genom att beskriva big data som n\u00e5got som best\u00e5r av tre element, k\u00e4nda som de tre v:na: volume (volym), velocity (hastighet) och variety (variation). Andra lade senare till ytterligare tv\u00e5 v:n: veracity (sanningsenlighet) och value (v\u00e4rde).<\/p>\n\n\n\n

Oavsett om man ser det ur perspektivet av tre eller fem v:n \u00e4r den h\u00e4r kategoriseringen rimlig. Det handlar om enorma m\u00e4ngder data som genereras snabbt och best\u00e5r av m\u00e5nga olika typer av information och inneh\u00e5ll.<\/p>\n\n\n\n

Uppgifternas exakthet och vad de kan g\u00f6ra f\u00f6r ditt f\u00f6retag omfattas av det fj\u00e4rde och femte v:et.<\/p>\n\n\n\n

Med r\u00e4tt resurser f\u00f6r analys kan f\u00f6retag anv\u00e4nda big data f\u00f6r att f\u00e5 insikter om sina kunder, sin drift samt hur de t\u00e4nker planera ett projekt eller vidta andra \u00e5tg\u00e4rder som kan hj\u00e4lpa dem att bli mer konkurrenskraftiga.<\/p>\n\n\n\n

Big datas int\u00e5g i byggbranschen<\/strong><\/h2>\n\n\n\n

Hur anv\u00e4nds big data i byggsektorn? Under de senaste 20 till 30 \u00e5ren har digital teknologi<\/a> som CAD, BIM och robotteknik inf\u00f6rts i hela branschen, vilket har gjort att de m\u00e4ngder information som kr\u00e4vs och genereras har \u00f6kat.<\/p>\n\n\n\n

Det \u00e4r allm\u00e4nt accepterat att det har g\u00e5tt relativt l\u00e5ngsamt<\/a> att inf\u00f6ra big data i byggbranschen j\u00e4mf\u00f6rt med andra branscher, och det \u00e4r nog r\u00e4ttvist att p\u00e5st\u00e5 att byggbranschen inte har omfamnat ny teknologi lika snabbt som branscher som finans, detaljhandel, media och telekommunikation. I byggbranschen har man ist\u00e4llet f\u00f6rlitat sig mer p\u00e5 traditionell informationsinsamling och pappersbaserad registerh\u00e5llning.<\/p>\n\n\n\n

Forskare fr\u00e5n Australien och Tyskland drar i sin artikel Big Data in Construction: Current Applications and Future Opportunities<\/a> slutsatsen att byggbranschen \u201d\u00e4nnu inte har sk\u00f6rdat de verkliga f\u00f6rdelarna med att anv\u00e4nda big data p\u00e5 r\u00e4tt s\u00e4tt\u201d, medan \u201dgenereringen av data g\u00e5r mycket snabbare \u00e4n de verktyg som finns tillg\u00e4ngliga f\u00f6r att bearbeta dem\u201d.<\/p>\n\n\n\n

Forskarna h\u00e4vdade vidare att integreringen av big data i byggbranschen \u00e4r \u201den uppgift som g\u00e5r i uppf\u00f6rsbacke \u00e4ven med befintliga verktyg f\u00f6r databearbetning\u201d. I artikeln uppmanar de branschen att g\u00f6ra mer f\u00f6r att anamma de positiva aspekterna av big data och de kommersiella m\u00f6jligheter som det erbjuder.<\/p>\n\n\n\n

M\u00f6jligheten att utnyttja potentialen beror p\u00e5 systemet<\/strong><\/h2>\n\n\n\n

En annan forskargrupp<\/a> fr\u00e5n Storbritannien och Pakistan p\u00e5pekar att n\u00e4r man diskuterar anv\u00e4ndningen av big data f\u00f6r att leverera v\u00e4gprojekt \u201dkan data fr\u00e5n design- och byggfaserna av ett projekt anv\u00e4ndas f\u00f6r att inh\u00e4mta information till tillg\u00e5ngsregister fr\u00e5n ett tidigare stadium [som] kan anv\u00e4ndas f\u00f6r att planera underh\u00e5llsscheman\u201d.<\/p>\n\n\n\n

Det kan ocks\u00e5 kombineras med en m\u00e4ngd andra data \u201df\u00f6r att f\u00e5 en b\u00e4ttre bild av n\u00e4tverksdriften och ge st\u00f6d till viktigt beslutsfattande\u201d.<\/p>\n\n\n\n

Det \u00e4r tydligt att ju mer data f\u00f6r ett byggprojekt som ett f\u00f6retag kan f\u00e5 tag i desto b\u00e4ttre kan f\u00f6retaget f\u00f6rbereda sig f\u00f6r och arbeta med ett projekt. Men alla dessa dr\u00f6nare, robotar och sensorer som samlar in data \u00e4r inte till n\u00e5gon st\u00f6rre nytta om man inte har r\u00e4tt system f\u00f6r att hantera dem.<\/p>\n\n\n\n

Lagringen, bearbetningen och analysen av big data, och f\u00f6rm\u00e5gan att visualisera det som de illustrerar, \u00e4r alla viktiga<\/a> komponenter.<\/p>\n\n\n\n

En annan viktig aspekt \u00e4r enligt experterna att inte bli \u00f6verv\u00e4ldigad<\/a> av m\u00e4ngden data som ska utv\u00e4rderas, eftersom det kan g\u00f6ra att man blir distraherad.<\/p>\n\n\n\n

Man m\u00e5ste ocks\u00e5 skilja mellan strukturerade och ostrukturerade data, det vill s\u00e4ga data som har ett numeriskt v\u00e4rde och kan lagras respektive saker som textdokument, e-postmeddelanden, bilder och videor vilka kr\u00e4ver djupare och eventuellt mer tidskr\u00e4vande unders\u00f6kning.<\/p>\n\n\n\n

Big data i byggbranschen kommer bara att bli st\u00f6rre<\/strong><\/h2>\n\n\n\n

\u00c4ven om det \u00e4r mycket att ta till sig kan m\u00f6jligheten att sammanst\u00e4lla, hantera och analysera big data vara till hj\u00e4lp i alla stadier<\/a> av ett byggprojekt \u2013 fr\u00e5n design, d\u00e4r utvecklaren kan f\u00e5 information om var en byggnad b\u00f6r placeras, till byggande, d\u00e4r man exempelvis med hj\u00e4lp av sensorteknik kan ta reda p\u00e5 hur arbetskraften b\u00e4st ska utnyttjas.<\/p>\n\n\n\n

Sensorer som samlar in data kan dessutom hj\u00e4lpa dem som s\u00e5 sm\u00e5ningom ska f\u00f6rvalta byggnaden att g\u00f6ra det p\u00e5 ett effektivt s\u00e4tt. Den ing\u00e5ende informationen kan ge ledning om saker som belysning, ventilation och uppv\u00e4rmning.<\/p>\n\n\n\n

Ett exempel \u00e4r den teknologi som Convene<\/a>, ett f\u00f6retag som tillhandah\u00e5ller kontorsutrymmen, anv\u00e4nder i sina lokaler p\u00e5 22 Bishopsgate i London. D\u00e4r anv\u00e4nds sensorer f\u00f6r att k\u00e4nna av om ett rum anv\u00e4nds och anpassa luftkonditionering och belysning d\u00e4refter.<\/p>\n\n\n\n

Byggbranschen kommer bara att bli st\u00f6rre \u2013 vissa f\u00f6rutsp\u00e5r en tillv\u00e4xt p\u00e5 en biljon US-dollar<\/a> (drygt tio biljoner kronor) globalt mellan 2020 och 2030 \u2013 n\u00e4r efterfr\u00e5gan p\u00e5 bost\u00e4der, kommersiella och industriella lokaler samt infrastruktur \u00f6kar.<\/p>\n\n\n\n

Det \u00e4r sannolikt att data \u2013 oavsett om man vill kalla det f\u00f6r big data eller inte \u2013 bara kommer att spegla den h\u00e4r f\u00f6rh\u00f6jda profilen.<\/p>\n\n\n\n

Livscykelanalyser: s\u00e5 hj\u00e4lper de byggbranschen att minska koldioxidutsl\u00e4ppen<\/h2>
<\/div><\/div>
L\u00e4s mer h\u00e4r<\/a><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

Byggbranschen f\u00f6rlitar sig i allt h\u00f6gre grad p\u00e5 data. Ny teknologi \u2013 i synnerhet apparater f\u00f6r informationsinsamling som sensorer \u2013 blir allt vanligare i branschen. Hur stor roll kommer stora datam\u00e4ngder, eller \u201dbig data\u201d, att spela f\u00f6r f\u00f6retagens framg\u00e5ngar fram\u00f6ver?<\/p>\n","protected":false},"author":634,"featured_media":81585,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[145],"tags":[16716],"class_list":["post-81584","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-innovation","tag-technology","category-145","description-off"],"yoast_head":"\nBig data i byggbranschen<\/title>\n<meta name=\"description\" content=\"Big data i byggbranschen omvandlar driften, och teknologi f\u00f6r informationsinsamling blir allt vanligare. 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