Wir gestalten Industrie smarter!
Wir helfen Ihnen auf dem Weg zur smarten Industrie, indem wir Ihnen effiziente und digitale Lösungen bereitstellen. Die smarte Industrie beschreibt dabei die intelligente Vernetzung von Maschinen, Anlagen und Objekten mithilfe des Internets. Dadurch wird eine digitale Darstellung der physischen Objekte ermöglicht.
Durch das Internet der Dinge gelingt es uns, eine solche Vernetzung zu erzielen und die reale mit der virtuellen Welt zu verbinden. Hierbei nutzen wir Sensoren, um zusammen mit Ihnen ein intelligentes Netzwerk aufzubauen und Ihnen zu ermöglichen, von den daraus abgeleiteten Entscheidungsprozessen zu profitieren.
Nutzen Sie die Chance und optimieren Sie Ihre Produktion mithilfe unserer digitalen und zukunftsgerichteten Lösungen!
Use Cases
-
Smartes Objektmonitoring
Das Objektmonitoring umfasst eine Vielzahl effektiver und effizienter Lösungen rund um Ihre Objekte. Neben dem Erfassen der Raumluft und Erkennen von Leckagen, können unter anderem Türen, Fenster sowie Parkplätze überwacht werden.
Weitere Informationen
-
Smartes Anlagenmonitoring
Das Smarte Anlagenmonitoring umfasst eine Vielzahl effektiver und effizienter Lösungen rund um Ihre Anlagen. Neben der anlagenscharfen Erfassung von Strom- und Gasverbräuchen, können unter anderem auch Prozessemissionen und -anomalien getrackt werden.
Weitere Informationen
-
Smarter Gaszähler
Der Smarte Gaszähler dient dazu, Einsparpotenziale im Gasverbrauch zu erkennen und bildet durch die geschaffene Verbrauchstransparenz eine effiziente Maßnahmengrundlage.
Weitere Informationen
-
Smartes Raumklima
Das Monitoring des Raumklimas ermöglicht es, eine Verschlechterung der Raumluftqualität frühzeitig zu erkennen, um ein rechtzeitiges Eingreifen zu gewährleisten.
Weitere Informationen
-
Smarte Stromuntermessung
Die Smarte Stromuntermessung dient dazu, Einsparpotenziale im Strombereich zu erkennen und bildet durch die geschaffene Verbrauchstransparenz eine effiziente Maßnahmengrundlage.
Weitere Informationen
-
Smartes Asset Tracking
Das Smarte Asset Tracking erlaubt es, eine genaue Übersicht über die auf dem Betriebsgelände befindlichen Objekte zu erhalten. Durch die präzise Lokation Ihrer ausgewählten Assets ist es Ihnen möglich, Zeit einzusparen und Kosten zu reduzieren.
Weitere Informationen
-
Smarter Zufriedenheitsbutton
Der intelligente Zufriedenheitsbutton dient zur automatischen Erfassung der Zufriedenheit und bietet den Beteiligten eine einfache und effiziente Partizipationsmöglichkeit.
Weitere Informationen
Unsere Leistungen
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALEAAAD5CAYAAABoItTEAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAFxEAABcRAcom8z8AACm+SURBVHhe7Z0LmBxVmf4DggoiCAiZ7g43AbnKRVRY112RXUBdVFSyugh74RJRDBiSdPdMkJque/fMJJkQlcBCVC5CENgHEVBBWC4iIAvkvwIbruESQG4JCSQhJPN/365TodOp7jrV093Tmfl+z/M9PdNd36nT1W999Z1LnRonCIIwbCzL2s337c+USu7fFIv2pzzPPLhYLO7jed7upVKpyzCMjwwMTNkKm24WeAhCh2Ca5j7Fov9zz3Pf8H1vFV5Xu67D15Wwt2DLYH/Fe094nn0H/r4cwvYdxzkT/38dgv8kBL6DKk4Q2guEeJDvu4sGB2cPlUrFIYh5vfH/SuvrKw319/cNzZw5MDRr1syy9fUVhzzPeRXCftB13Rtc1/aKRffLiOq7QNjvV7sRhNZAkSG63kgBQ4QNGSJ3WdwzZ/aXRU2R4721EPPrEPdvEbF7XNc6BvvaVu1WEJqH7/tHQIhrGWWrxdmoUdRhFB8Y6B+aPXsW31+D9x9ApP5JqeT9I/a7naqCIAwP5LOTKDgKr1qMzTTugykIDf+vgz0MQRfQiDxCVUUQGgNCOqMdIq407o8pByM09vsG0pnrEZ2/KemG0BC4rH8WIlpHYUUJrtUW5NIDZWEjd74XjczvwXZS1ROEeAYHBz8AEd+q8tYRM14JmD/TUJ9HcHKdJV12gjalUumQYtFbTCEzMjIqVhoF1q50IxQz0w3s+yFE5VOnTBng4Iog1AdiORCiubZYLP4VYloDW0ujqMJLPkVOYzcahcb3WyXwSjHj/zts2/+Sqqog1AeX8QMg6ON93znB8+yJnuecxMYf3svibxt/z4WorsHf9+Gy/yIFRzFTbBURdCNRNmosS/VovIt9XoKTbG9VVUFonKGhoc0GBowdLMva03ULh0PgJ0Fgg65r3wGRP8uGIiN22GBrRqRmObwCoOzFtm1PWrBgwftUdQShuSCSTwgiuOsBzrFYHUbpZgyohGkMyl5gmqZEZaG14NL/YUTNQxChc4igd0OEKyqGpTcSqK4xKqvelKccx/xntTtBaC1MQRA9j3Qcuw8CfpzRlFF1OPmz8udwtt/X1/chtStBaD2Izik0HE9HdL6HIn5vsCNarPWMKUrg792Ak2R3tQtBaA+cQcdeEN93f08RB5E1eZrB1IRpCl7/gkbm36riBaF9DAwMbIUoOpF5M/Pl/v7+SLHGGSMyhPwKhPxtVbQgtBdE5q1d1/0+hLiIgmykN0PlyW+xHFWsILQfiHkC+51933+bYo4Saz1jo7FYLK5DqpJXRQpjBeao/f3+5zzPPg2X5O8imp2M1xPQEDsWf3+aDSf2AmC7zZVLS8G+j4YY70G6kTgqc3uKGfUuqOKE0Y7vW5/DZfwOXIpXsJFFY4MJgliLXJU3jPJG0Zfx91PMXSGOixAtz8brMbCPt2oEDSfMDjh5BlCfd5gvhyLVMQqZPrZtWqo4YbRCAUMkr7CFzx8+FHFofC+MbEHDKxiBC/LWcrRbAsHfhMhZQtT+0uBg8ye3o9yJqMPTqhciUrRRFtYbdTtXFSWMNhDptsGPfY8aAUtsFBRFQnHNnFkW2CpE6ieQz86FuL+I16bdS4eI/Anfd2/jvnhyRdUnysKTEEKerIoSRhMQxpH8oZOIopZBYGWxMFIHAxCM5N49EPMMROw91S6HhWEM7OA49iUDA33lfUXVI8p4omH7laZpnqiKEkYLrmt/n2JLconWNZZJMTP1wP9/RSPtfM8zD1O7HhY4+c6DKNckyZO5LerwKk9cVYwwGvB959RWiTi0ypQD+1qKyDwPl/aDVBUaBmWcifJWJhGy6rJbxGmkqhhhU4fLTyGHXZPk0jwcC8WMv1+DCH1ExrSqSkN4nnMSTpI3kwiZ+0dKcivbA6oYYVMGP+QWiIxXcQWgVkbjansvMruPwL6jqtMQiKrfSiJkfk9GZMexZqkihE0dNrqQJ95PIasG0AYWphutELkaJkbZ/qUQ4x6qSomB73cQ1d/SFbL6bu/iaiDzLEYLiMgT0Mibiai8GGJdhhTjTdgKGAc61lJoFFx42xHF3ixRs2xGZZT3uOOY31BVSoxt21wIZm2wwGH0viqN3wff9wXYx1URwmgAEXl7RLR9EKEONE3zUPz9efz9DeSe38NnLv6+DC+3w54PUwJGP0a24YqaokIZa7APGyfVB1WVEgHfc/v69G9WDfJj5/p58yZtqYoQxgIUWH+/sy8i2JeLRe88iOEu33eXUswc8NAVUJTxxAi65LyrsJ8utUtt4LM56nUBrxY6J1VwheljfnymKkIYi0A4W/i+eQDE0w27DeJYRxE1Gp3pEzT6PM7R2EvtRpu5c+dugyvHb1lGVPnVxpMP+3wBEXlfVYQwlmGU5mACBHgJ8umlYf4cJZ56FgoZfz+GXPdTqnhteCc0GotPBFE9eh+Vxn25rvVL5S4IARDzwYhu5+OS/TrF3EiaQXEhoj+OiHy4KlYbiP8rEPIqXhGiyq401g3bMR8/XrkLwnuUSvYhENNlpZK/hmKOElE9CyKytxiWeMjadW1Hd5/cDifL/bNmGR9R7oKwIcUil8fyH1LRNVJItYw+SDEecxwjUd6K9GZbz7Pv0BEyU5hgO5ntJtQBl+vxEPIcXL7XslcgSky1LIjI7v1Jh6q5Gj1y9GU6uTlzaNTxKdZTuQtCNIh2JyIaP58kvQgae5z37PwaETbRvAeI0mT3X1S5lRZGY2wvk+iFeNDw+iSi6r0qVYgUVbWFIoNvvypGC+S6OyKnflint0Jt8wz2kVHuglAby7J2cV3nhiRCZj7NngTXtRJNHOK6bfArD6FHlVtpKhpnlasg1Gfq1KkfgnAuTyJkNUCxxDTNA1QxOmzuOPZvVG5d14Lc2F6E6L298hWE+jDHxSU/kZC5LaM4fLWfWgpRHolI/HZc7wjrEMyIs09TroIQz7x5xtYQ0DW6QmZawB4OiF97tR+uzum69lU6DUp1ktzGUUjlLgjxIA/dCQK6U7fXIoiW7hLD0J9j4fs+19hYHReNeZLA1iBv/3vlKgh6+L65n++7Tyeb9+BcrNy1wPb/Rb+o8iqNdUCkv0C5CYI+EM6XESnf0hmgYEQtFr2Vnmdp38WM8o9D2WvieiqCSO88I4MfQkPYtm0wEurkx2EjT3c5La4ph+3viUtbKHK1ytG/KVdB0Ic9Fo5j36aTH6v8dW2S5915njdFddVFlhkab8mCiC+fOHGiPLFJSA6i8WcgpDfjGmE0NUBxI8SvtWonGni74iR5Na5sldKg8WhMUK5CqzDGGZtb42fsYWbyX+5N584spHOumcr91EznfgG7gq+FVO6XhXT+54VU9ie9qaxldOXPwN9HG7sYnFSzWVBSZ4Gc1J81Kz4aB2L0VllWotz40rgGHiN1IGTvm8pNaCY9u/akCpnsPxVSPf0Q7f1WuvtlCHe1k5kxVJrQO9Q/wRzqw+uGVsD7haFSxhiy0z1D2H6lmcq/COHfBZGbhXT3PxgTpnTMw8E5a8333UU6vRXq0n8h+4OVe134zD2kFOXH/0aVF1qwb+8/lZvQDNxM/nBE1NlWuuf/uRBsMXPekJf50ZCbObcsTIh5yEznY43bOZmesh/9ixPOw3vwT/XcB0HbxvipB6pdjiiIxmfr5K+MxmiwvQLBaT1Jyfe5VIHzpOpvrmlMVXByLJRHjTUBK5M70s50L4D4ljPS+hCermB1jeXxpKAhQr+Bk+I/7VTPJ1UVRoRZs2Z9BGJ7LE5sFDm3geDOUq6xII++Mi6lYDqB/S9HHv1Z5SYkhRGxN52/FAJbVZxgIHrOiBRgMy2I0ojy2B+EvNRC5DdSuV1VldoOhHmOTk9FMEBh367bwIOIT1e9G5Hl0XhyBNHYlgfaJMXYf+L7e7tyUyCql0ptEm+UMWXh/iHsx63U9GGtndYo7E2AoBbHRWMVNZfatq119eBiMdj+rXoipgX5tnMRXDqyAdyRzBg/dY9CKn+1V85Xz40UVzuNkZnpC3LodUgzfmJs2/7GHyLhhYyI9XLjMGoiwk5RbnXhBB/k3H+KOzmCxp1zH7Zv+uMcRiVGOvtZXMIXljK9Tc95h2tsOAY9G923Gel8W9cxgzC/AEHFTmwPRvDca3VH8HzfnT17dv28WDUalw1n4cMxgzE+fxyE+3KJDasIEXWC8cSikM107vFCetrfqKq3HDVc/FBc1AwEZ7+se4sRBP8fOhGeJw/SmqOVmxCF2dX9DTaieNmOEo+OUWCMlsyfg66zoPvsPTu3/D4/53bDifRs9MF/cTuFDMF5cQ/KCcTmMRofo9zqwidIIVVYUW/0juUFK27qpSljEo6cQRBvNCpgipKNL4oUufQ7hVTudbwuMlO5PyKHvRX/34TX2/D/n7CvJ/HZUvi9y/2tH/iIKDfO/AnlK8YzRrrnEPVVWorneV+BSN+Ni5pBtPbOU251YcRGhF8UnxeXy/ypchMqMTLTDjLT3c+U+2YjhFLLGEUZVTlIgf+XmV25m/FqQKTH2hN6Mn3jp35ocK/JH5h32KQtjXHGFsb+xvv5v7GTsY0xPrc7hP01M531rHT+DxzpK0LMjfSA0A9lPdizw5SW3yGMyzkHKJ6KG8ELusTc65RbXdgdhzLvjOsvDhqM9k3KTQjhEC9yy3t4aY4SSC1jt5cP0SOiPmdn8haibMNPJpp32LwtLTQmUe4ciPm1QMz6kZknExuhvenp10wa1/q1fpHv/i5OcEF/sfOQ7igbyrycIo0qK7TgxHD+Z3Bw8APKTQCbmansjzmnQTc35XaM2MydrVS2ZKVn7KLKagrmLtkDEJkvwn5WJ0ltWC9uXxifbfmt7shLByjSeikFUwMI7gXT9PdTbnWBiC32Mdcrk+mE77tPss9auQlGavrxTnrGO3Za7xIeCBj5ayZ/t5XKfU4V0xKMdP6rVrrnL6rxFlmfamNqg22XFbryn1bFtIRi0T05bLxFiY1WLJa7xFa5rqXVuEOuOymuTCXyv2LbQ5Xb2Ca/a3575K4LdfNgG5d39i5Yqe75Ruqcj6piWoqxc/5j2PeNzLltTSFzTkchnbtpyoQpW6limo7vl+cZx/QXh/MorJOVW12QPx+HKFt3+Fn1Fb9tWdZRym1sU8jkeoJZY/HiYM+B6nWYyQaaKqItTN9x+ochysuYf+vVtTznYp2RyrbsEbS+b+wKMS2r1yVG4xOhIOJzlFtdIOLDkaa8W0/E6rN1pmnKOsYz0ufswgaZznAyhcNc0+rKz1bubYe9HL2p3NW8augImfXtTef/bKQmba2KaCr9/f0fheAeDyarRwuOxv5kx3Fs5VYXiPjj8HmnnoiZagRzM5ItoTUqwQ88QzeNYA7cm8r/it1kyn1EyG/H9Cd3D+sTVc9KU9F4yMrktS7lSTEMg8/l+GNcv27Qg+Gdr9zqovqKl8cNeATdbM6pym1s4m+f2w5R7TGdlj8v4WY696j90Z6Uch9RetLTDkEkflnnCsIuN9T9d8ZuzV9BZ/LkyR+AiG+K6yumiCG4S5RbXXBidMHn5bgUhdEdgh/bUzKZK7rpnrVxl2WnPCTc866Zmt5R+RfSoB9SxHH1Lw9pp7rfKaTzTR+ShuD4ON9rdfp18fpLnduV+vr6dkYkfi4uRZkzZxDphK096X7UwZs5C+nspewXjvrhK43pRm8q+yu4ddT81YEJU7ZiWqFzJSmnQumso1ybyWaIxAt0RIwUYIGOiB2nm0toPRUn4vPPn4My9e8cGXVwKNhM5V+IG9oNolhuZTsn1iThvHT+W256xrq4aMwuwUIm9yBHBJVr00DUnB83ESj43PmZcqkLcuft4fOITmMRV4EzlNvYg3cmlxs8MT8+u94Qwf4LLh15FwHnXiAa36sm/9Q0ftdCOre8FffoIdc9u56I2QjjHGHdSz/nHkOcl9crM+iZcFb5vt/SgaaOprcr65UHLOqImJ9x5MtIZzv6CfAQ57nlrr/Y7wIhp/I/UG5NQ00EWlRrMnsQMZ3HkD9rL3rCSfcod3XUQ3F4UsyZw35nm4/sbWtffUfRm8ndEte1RpHj9emRvClTB0697E3nViCt2Og7VBrz/0IqO1e5NRWkAEeVSsXnKFj2VLDLja/8v1j0n6Uo1abaMMLDdxV7Nihmlsncmv/jpLh7TM+bMPYytkVL/ZG4BhHnBJtBKtHRlG9iTWUXxnW3BbPzcjeiUau9onsSILoDIayLECkfRcR8DgJ8tFgsXpjwUQgb4LrWF1HWDSjzCdiz+PvhYtEzPS8/th9/YHZl98MleAlThagfm8bLbzC8nDOVW0eDk/IiL/bKgu+Tzv+vsVvyp+YnAZf4bS3L2nNwsHk3crLbDdH+Y8iXW3ICbnJYXbm/R0RaXq9ngiNdFHJvKv8vyq2jMVO5s4MBmejvQyvnxOncy+2+qVRoAWZ6+lch4rX1bgMqf5bKrbEzPUcot44GV5cTijGNO34nNOxWGelpbbl9SWghZip7Ikfh6k1pVCJeae0yY0/l1tEUMtkvqTnEkd+HFn72o/FTEz8pX+gwzK7cSQ5a8vV+cN4ShPxxxYwm363RKriCJuc5x4nYwqs9PvsZ5SZsqnDORFwkVoMDyziyp9w6msL46V8IRFr7O6n0aV2r7/YQ2kBvJn8y+1TjIrGZyr/tp4xNoi/SSuWPCSYq1Y/EfJV0YhRgZrpPwA+6TqNht9rcOfsJ5dbRGGisxs1oUw27d42u6Z9SbsKmSiHVfXQhlVtVv4uNOXFuHR9ZoNw6GjOdOyVuBLKcIqVyy8zx2YYHH4QOgZEIP+ar7DeN+rFpjGi8PJuZ3NnKraMxu/JOfD9xefDmKatrxm7Kbezied6hnuecxyl4rmv3O44z7IXdfN85GuX0sUyWrbumbSMYu0xPI1V4Us2NqGmMbIWu3KbwfIjNetP538V9HyXyu4o7Fj+s/MYeRrB+rOv73nJO7uAdrJyQUSoVV0HYC/B54uFMCHe857lXl0rBRA+WGSyM4S3HZ24rVnhBPTfH5fe+uMhV/jyVu89IGS25ybJZGLtN60KEfbHeMDqtPAEonb9UuY1NIGCbouVcTohs/bQ43gsV3JLt8tll2uPlannQm+nLMirL5D44tQ9CbsnchUIqOz9uAhDzYrT6V1qpGR09Z5WDN3amu+4IJNOjcs7clTeU29gDYjrIcey3a822p/AGBniLiv3vyiUWlHk6I3qtW7PVybICUf5g5dI0EGFPixvhopVnsnW15LaepjCEVKLQlf9l3G1WgcBzawrpnq8o17GH77sz1GU+UnA0ChLR+HrlEgt8rmMUri4nNO6LkR/58XTl0jTKq1+mcqvrRS9auTGUzj7TrpV+kmJOyH7CTOWXcQQyqv6hqUbds0iNOvJ7tAU04Oaom/0iBUdTIn5QudRl/vz5yK/dO1lmdTmVFix/ZDd9IjdvsoSIb4/Lixmpy/enpVq/OF8j4Dv8WGf9iXLqlMovUG5jEwhptp6InYXKpS5IPbaC4O+Ie8wqRew41o+VW1PBjzuD65XFpRRBq797sTV+akc9I6IwPn+4mepeUa+/mxaeiPgOHX2bVcuB4Pp1RIxXijj2pko0ALlewS3ByjDR5dGYwiB3vli5NRWOxiFPfD2uVU8LVv/JzleuIw6XpepN5f6gE4XLV5J07nFjp2ktnQzf8UBIfRRpfCS2H9XtFoOIb4x7Ug7LxL5bdhlEnnhV3EgXjbkz8s51EPLpynVEQb1tipOz0qLqG1q5V6J8x3auqFzHLr5vW/EiLi+m/ITneVr3P0HEvxocrL9egYrutyiXplPIdH/BTneviWvg0Rixsd1rRjr/j8p9ROjtmn4y6lF++HlUPSutfJVJ5V8z09P3Ue5jFwhuWmX/cJSpReWe1b0LFYK/uN7aAjQV3R9WLk2Hy7OaXflrmRtHiaDa2BC0Mt2LC6lpf6uKaCs/SuW+juj6ZtxNoaHxQTaF9Mit4tlRILqeQgHXW26TIofY+WR1rX5dNNjcuOge9E44i5FSjFduTcfYOXsEp13q5MY0ph92pvtZ3k2himgLZib3r3ZqxtKgkRZdt0or58Kp3PN8sI0qYmwDcX4VYqq7IjhH3bDNSohY63Lrec73WJ5GmcsQ3Vt6r5uVyvfrNJJCKy9Wkul5007lf7hgnN7TMhuFK70j+tsOUgjdE40T/ini3gnTJqtiBIj4cNjKeoILBFl+8J7WwsfIs78EvzUaZa6D4E9Sbi2hu6t7p0IqvzCJkCmo8mUd6QgiecNPTKqHwTuzU923Mo3RyYFD40hjbyp34+S9JsvThUKY5yIiLmVkjBJbaLNmldeMzSm3uhSL5t7wqbuYMi2Yl2Fbyq1lWONzR6LB9KZutKOx9V9+gGKm5xWkGANG19T9VXENM3HcxPcVJuQ/jZPqYkTf5bqPYghNLWn13Lkyb3hDOLEHIn661tyJ0NREIK0Rtnnz5m2NbRfFlamWLbp+3rzWr9Dem5k+hSLmTZdRAqll9GG0RA66FJfyX/R25U82ds1/TBWrhbFr9/5WJns6yru2kM6t4iKBSaIvjXOkmXYYmewJqlghBILbEoK7TfVA1LRgGNn5DUSvs1LLZijzatWNVtNUg3EJrgbaC9I1ytC4oc1607lBphU63W7Vxnvz2NOhxLfYTOfuKqTzF6LM6VY6+x+FTH4ihP613nT+W7wbA2lIN/7/Bba5F9svYR7b6KNxOX+CIu7tyk1VX0eoBkK6UE9wzhOlUklrdAhldscNeLD3Imjguccpt5bCx9UWUtmfD+c5y7z8M19mTwaFyUhNYfNuEZZJsfP/IIL/qLwd/06SNlQaBVzOz1PZlqddmzQQ0Tlx/bqqkbbWNE2th+ShzC9CoGvrdbPRVH/xBcqt5fD5FoiQl5S70xoUcqVRnLUsavskxujLE+C8QMAduY5yx+B53teYTtQTHD8Lcly9ecVMESDkJzjaF1VeaMFEIPv/0HD8iHJtOWzZ4zI/M4yYUQIaaWOUR3RfWUhnp6lqC/XgIAaE9GpcQywYoHAvVG6xIP24Ni6lCLra/HWO4/yzcmsbRip7lpnufpPpRTMiZzOM9WB9kFO/YKazbT8mmyy8nQiNtvvi5gCrzx/QbNxxctGZPDHiUgr2UmDbK1Hu5sq1bfD5zXaq+49h7holrHYZo2+Q/+ZvNHbuPkhVUdAFIr4sbvokBQmxLUXk1hoA4Fq2On3QQb7tLe/rcw5Urm0lt31uOyvVbdqZ7lf4bLjyKkERImuVMa3hfgup/HOFTP6HbICqqglJgDgnU2xxeTGjMbdVbnVhZGVKERfhaUEDz52jXEcEjs71pvLzIaa3w96HVqUZLJe9F8Gd192v9qZzs8zM9L1VVYRGYF4Mwa0ulWoPFdPUw0Z+pXvphzC/E9dopKltXkaDcD/lOmJQzLCfIDo/TZExR2W0pPAaFTX9OO+BPQ7sby53u6Xyj+GzopE6Z1+1a2E4BLfZ2w9TTFEiC43ROmgEWlqrzSBq78Teh7h+aJrKjbWeE9wOvPG53TlZ3kr1XIXo/DKFSPExSoeRmv+XR9PKPR3vvfL9oJ/YKEdbvodGZPmmTivTPZ/L0BrjjZ3VroRmgbx4IK6/mBG1v7/c1XaacosFJ4dHEcdFY5U7L7dtu6MWxuNTSnsm9GTsVM+xiNBWIZ27xkzl/ghhPwZRLsHfr8HeqHzFZ89b6fwjha78nRDslWZXdkZhQvfnx/ytRK2mWHSOR+MtdoCCOS5SipuVWyxIKT6OaLy0r69+A4+myr6BD+5T7h0LV+jhIn5cFxgNssP5amSyR9hd0z/lpLr3dbom76Q2FdpFqWR0QWyP6wxB+767NMm6aojyP47rM6axpyKIyN4pylUQkoEoOJ/RMC4aU5CIsNor6JRKpYPQaHs9bkCFpvLyJYzgyl0Q9EF0/ScKWM2VqGkUGqL2k2y4KddYEL3nxPVFh6YaeTdNmTJlK+UuCHoYxuC2EM8jcb0UQQOP3WL+d5VrLH191h7wXRJXNo3lcw04NgqVuyDog8t4Ia6XgqYaYRyG1l4iFWWfo9NTQWNuDHvX8+x/Ve6CoAcaVYdCZG/E5a8qGq9FCqItMgh+G/jepZtWMGpDyEv5LGBVhCDogZRCe7gY297X1zf1Q8o1lmLR+TucACtUv3CscR/Fovci9vN5VYQgxIPL/hcZaeMaeCoaU8iJloHyPOc8RmP6R5VbbcEJ5b1kWdaRqghBqA8u+x+EMP87QTT+P/hor5HLPBoC/q1uWkELIrL/ommam8STj4QOANHyRObFcdGYNnMm+42T3X7v++Z+8F1McVaXV8u4LXPkJCvXC2MYTgpChL1XJxqrRuAbpZKd6EnvEONXIMqaj1uIsqBrr7zwis86qqIEIRqI+NtsgOnkrkFq4Pwm6bwH7ONs7kO3oUfjtjNnlrvqbnIcY0Qm0wubCBwxQyPvDzq5K9MORkls/33lrg1SkaLKeSPLjjKeWLxKFIveczgRvjtpUusXYRE2UWzbPrZU8lfrREqKGK+vQFSJomOwiIt9QSBKfSHTuE+mI5z95vvWZ1WRgrAhyF2v0O1J4HYQ5B+KxWRPuGSPCKL4RY0Imdur3H0Fypg7UvfrCR0MIuv+EMgrKtLWtfAyDzElXoqfQkbkL69IlCRHDo0+PIkg6iXIz8/3PPNQlNn2u6iFDgXRNacaU5ECqjSKCbbGcczET/ZhbovI38cUIUmvRaXxZAtOJOdt1PdKnFD/AjHL7UBjneDxXs6dumlFmB/7vt3QQto4AaZCgKuT9CNXG9MM1pd3laCsR3FF+Znned+0LGsPRn21K2EswYYThLFMN0KqPPUvEE5DS/NDdMeXSt5iClHnClDL6MuTIUxTcDK+gXTjt/isiKg/qVh0/gE5/N6ciqp2LYxmHMfqSdL4CgTI5WMbe3Qr8tpPQGC/4z4byZOrjYJmORQ0n/LEV6YdsOfw+V/wei8bphD5TUhDbsTrAt/3s65ryJ0mo4Wg79i5UTetoKltr4MYtlPFJAKX/m1wIlg4cd6imIcTlastFDXTHwqa5VdaRQRfgkanDHePFhAZ90GU0p73QKEEN4p6l02e3PgyTUgvjkZ5d1NcOj0lzbIwHcFJuAbfYew+0X60gaj0dUSnVbr5MYVA8UGIlyGyNpx70hdiyrMbjeU12oPRiPGKgpP3XtRB+24WocNB7tjNiKibH1PIKrW4GhFN6wmltWCOiv3Ohb3O26makS/HGfeBVOotnIgj8tBGoQVMmjRvS/yg84PGm16eGgoZJ8AtiGiJHuISBSIjH2N2EdfC4CWfJ5VuXZIaT1bsi+spf0PtXhgN8PKO6PR7FWG1LEwt8Pqg6xY+rYoaFhDWgUgz+iHmJylk1oeia6agVbR/G1cRucNktOH7xgT8uA8mETKNQkYj8flmRjbk6infd06FoK/FybWCa8eFDUHdtKeWsRyUuXBwUPqTRyUQDe/UeGzWrPhJ9JXGFADiWu04Xi+ietNG0VDWFjg59kVk/oHj2L/Bvp7i/vhMPp5sbBBS1GG0jovY3D6IxNLNNqrhhBuI4smkEZnDwv395YW2b4Dwhv30zigMw98VacA3IeofYZ9XI6I+BuPcirI4KVKeUIy2UYbv9Rby+BmGMU4mFI12cDk/Aj/400mFTDHRB6/PooxTEElbJhaWjZNlJw41Q9hH4e/vep5j4yS6EHW5hqN1eO9WiPy/8Xob6vRTy5K5ymMKROTDEN0eTSpkGnNXddm+CimKPMdYGDkQwQ7CpfshFV03Ems9Y56qToCXUE4WkXMHVawgtBdcqneH3U5BUpjVYo0zRuVguNe7D5f4EzeFxbeFUQjyzB0h5CsoRtXPmsgYxVXDah0i+++RZnxt8uRBeUyW0F446QctewuCXBv3qNxaxkiuxMxeDDS63JORZmyjdiEI7QH57YkQ8osUY9I8ObQgXw7F7CxEZJ4uDUChrSC1OBgCvJV5ciPpRWgUMXNmdUK8hHKvhJ2I6Cz30gmtZ+7c8jrFHoT49nCicmgcqAh7QRDtny8WvUsoaPzNW/c3C/YqCC2Ai2dDePdTyM2YF8zozHJYHhuSeO8lNgYh5lnIob9VLJp7M4/mYIeqgiAMH9fN7wixeUgtllJ8FGKlMBs1RuUwQrNcvLcOOfSbwXCzey3MQS59OgR+POzvmFfDduW9gEroH5w3T5bGEhLAW/shvF8zT25GilFpLIsnB8sO50hQ3JxMz/+h51WwFz3PWYTXh/D6J/jdBbsDackteO9iz7OOUlUVhNrwMl8qeSchIv6ZQmPDrZlijrJQ4BRzOLjCk4hGoYeGtARCt1FFSUUEDQYGBnbA5f4sNNAeCUXVajHHGUVOQ+pxqqqmIMQDIXO0b0qp5P9PGCWH0y03XOPJBBH/L6KxTIoXksHGluta/4ZofDsu/St5eW9HqlFt6gRaiRNL8mOhMRYsmPg+5MtHI0JfhFSjvO4FjZf5dgha9Zysg4i/rqokCI1TKll72rb97xAUbz16hUJmb0MrIzT34brOCpxIMkFeaC6IzHv5vvsDz3OugMiepNi4DC0nG1HUTAOaIWyeJNjXPVwhVO1aEJoPGl27Q2jHIN04z/ed30PUixk9w0hNC1MQpgcUd2hRwg1N9ZCsQdnHqV0JQnuA6NjDcaTjOJORfsxGxOat/A/AXoQ411LMjNaVxgge5ts0Crivr/gsIv1JqlhBGFkQrT9qmiZvEj3Mda1jIPATIdCzYb0Q/UyI+wL8/TPXtS/F6yV9ff5ZlmXtqdwFQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEIRGO4+zruvYcz3P+XPl0IprrOqthd+Pz22E5wzC2Vm5CAnDcPojjuLjiuK7Acd9JfTzOsqw98N7r731uX6c+EuqBA7sFDtz14YGLs+oDL+gjIm4BSQVMExE3joi4BeCgfS48YOqgIm2wTlYfb4DrGnvR8EPsrt4SmoyIuAFs2z6lUsSICr3qI2EEEBE3AEQ7ICLuHETEDVAdiXEAFw4n3w1ybPuM6h4OvPcoTKtXAz/kUajHzZX+FeXcjvodrzbdCO4f3+lY+N8d4cs61O1dGU79sd8U7LSg7hv6o87f5jbwH3ZOjH1U/2Zju42Cg7ZBTqwOyup6QqkFy6r8AaJMlV3+QaPAZ26UX7WhnIuVy3oCAeo1UqPqoFt/iOgzymU91eKrtnB/wxVx9e9Vqz5jino/PN5faJrmAWrTusT9iNUWJaLqCBNnKGOD1CeJf/X+k9Q/SjjtEHHUPqKO45hEHdjbKg9OpeGzi7FNzR6JqBNB+ZQvvfwcB3uDCIvPHwg/J9Vl4O9YoVSXgX1skN9H9bKwdwXb7Vtv34FvsvrXE18l8GlIxDUELO2XSqJ+qErDAazZ9ab7A6L89SJjeZUibUYZ1Z/hf60otfG+NxQo4fHB+zVPMt36NyLiap/wfeUiVIODuAsOWN2orDZdD37M6m66SPGg7A3yOWy3PpLoiqBaqJVCqq6H2mZ9RK2Fbv0jtktc/6Qixme/xv/VV4mNTjIhAkbdyoNZaZU/HokSj441IgL41BRxVMQKt6t1FSG6Im7GSZhUxNVWvb0QAw4oojInBNU/kNUi0LVGRACfmiImSiSRVxK8H9lQra4/9tGRIsb72imSUAV+5GOrD2jlwewkEYewzrXFsGFUrq5/LaGMtIhptcoVNKgUD63yB9QVQT2aLWICwUQ2Vqv9OlnE+Pvmyu1plfsVEoADl0TEiQ9yK0QcgrI3aqxWlq8r4nrfs3Uitq+rfo9Wq45CDRjRcBA3aCHX/wGTt551RYD9JhYxqVe+Tv2rj0H1vnXr34iI+X71CVTtN+bBAUqF0yzVW+vhZzhY1R39GxzAKJHj/weiGlG1pnM2Q8Qx36NKBO+VX6P+HTXYUaOO0tVGqg+qjuGgb5QuVB/8OMO2Wj9eNTEi3kCo9QzlbHA5TlL/6v2SVouYRNUx6rcYcyQVcb2Dpg5yzYGSSkvy41UCn2GLGH4bDdgQ1KHhCUy69R+OiAnrGH4WWlR9xhw4UGfgwLEVvNH0RRrfxzachhh7Rwe22QIHus5USuduHPQrYFOVSxldEcCvpohRBvu1+4N9V0+l5ICHfTtSnIPV5pGw/jweSadi6tY/QsSJ0xIcg7rpnSAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAImwjjxv1/oSXgrsx6KcYAAAAASUVORK5CYII=) |
- Die Sensorik bildet die Basis der gesamten Netzinfrastruktur / -kommunikation.
- Durch die einzelnen Sensoren werden die relevanten Daten erhoben und übertragen.
|
- Die IoT-Plattform bildet den Kern und stellt Schnittstellen sowie Funktionen bereit, die zur weiteren Datenverarbeitung genutzt werden.
- Durch die IoT-Plattform werden die vereinzelten Prozesse des IoT-Netzes zusammengefasst und standardisiert.
|
![](data:image/png;base64,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) |
![](data:image/png;base64,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) |
- Die Visualisierungsumgebung dient dazu, die erhobenen Daten zu aggregieren, aufzubereiten, zu analysieren und zu visualisieren.
- Durch die Visualisierungsumgebung werden die Daten verständlich und für den Anwender nutzbar dargestellt
|