I ett pågående projekt ska system för miljöövervakning standardiseras. Det handlar om system som med olika typer av sensorer övervakar växter och djur, eller egenskaper hos mark, luft och vatten. Arbetet är internationellt, och den svenska förgreningen hanteras av Svensk Elstandard, SEK.
IoT-system för miljöövervakning standardiseras
Standard
Miljöövervakningen blir allt mer automatiserad och lik IoT (Internet of Things), och nu pågår ett arbete för att standardisera sådana system. Det ska göra det enklare att dela data mellan systemen.

Ny standardisering ska underlätta att använda IoT för miljöövervakning. Foto: StockAdobe
Någonting är fel
Du är inloggad som prenumerant hos förlaget Pauser Media, men nånting är fel. På din profilsida ser du vilka av våra produkter som du har tillgång till. Skulle uppgifterna inte stämma på din profilsida – vänligen kontakta vår kundtjänst.
Miljö & Utveckling premium
Läs vidare – starta din prenumeration
- Magasinet Miljö & Utveckling - 6 nummer per år
- Full tillgång till allt digitalt material
Redan prenumerant? Logga in och läs vidare.
– Just nu diskuteras scopet, som betyder att det inte är helt klart än vilka sensorer som kommer att omfattas, berättar Bettina Funk, SEK.
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


