{"id":41259,"date":"2021-05-26T12:35:11","date_gmt":"2021-05-26T11:35:11","guid":{"rendered":"https:\/\/www.soitron.com\/?p=41259"},"modified":"2022-03-16T14:35:29","modified_gmt":"2022-03-16T13:35:29","slug":"sber-a-analyza-dat-ve-vyrobe","status":"publish","type":"post","link":"https:\/\/new.soitron.com\/cs\/sber-a-analyza-dat-ve-vyrobe\/","title":{"rendered":"Sb\u011br a anal\u00fdza dat ve v\u00fdrob\u011b dok\u00e1\u017ee p\u0159edv\u00eddat v\u00fdpadky a \u0161et\u0159it n\u00e1klady"},"content":{"rendered":"\n
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MARTIN HUMMEL<\/p>\n<\/div><\/div>\n\n\n\n

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Ka\u017ed\u00fd v\u00fdpadek, ka\u017ed\u00e9 omezen\u00ed v\u00fdrobn\u00edho procesu, nebo v\u00fdroba kvalitativn\u011b nevyhovuj\u00edc\u00edch produkt\u016f, p\u0159edstavuj\u00ed pro pr\u016fmyslov\u00e9 podniky probl\u00e9m. Nasazen\u00edm modern\u00edch pr\u016fmyslov\u00fdch IoT \u0159e\u0161en\u00ed dok\u00e1\u017eeme kontinu\u00e1ln\u011b sledovat a analyzovat provozn\u00ed parametry, kvalitu produkce a v\u00fdrobn\u00ed prost\u0159ed\u00ed, probl\u00e9my v\u010das odhalit a v mnoha p\u0159\u00edpadech dokonce predikovat hroz\u00edc\u00ed z\u00e1vady a v\u00fdpadky.<\/em><\/p>\n\n\n\n

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Data sb\u00edran\u00e1 ze senzor\u016f instalovan\u00fdch na stroj\u00edch a za\u0159\u00edzen\u00edch ve v\u00fdrob\u011b a mont\u00e1\u017ei jsou dnes nejd\u016fle\u017eit\u011bj\u0161\u00edm a nejcenn\u011bj\u0161\u00edm zdrojem informac\u00ed. Po zpracov\u00e1n\u00ed dat prost\u0159ednictv\u00edm datov\u00e9 anal\u00fdzy, p\u0159\u00edpadn\u011b i pomoc\u00ed postup\u016f strojov\u00e9ho u\u010den\u00ed, dok\u00e1\u017e\u00ed pomoci firm\u00e1m p\u0159edv\u00eddat hroz\u00edc\u00ed poruchy a hav\u00e1rie. D\u00edky tomu se specialist\u00e9 v provozu mohou v\u010das a spr\u00e1vn\u011b rozhodovat, zas\u00e1hnout a u\u0161et\u0159it nemal\u00e9 finance.<\/p>\n\n\n\n

Slo\u017eitost na prvn\u00ed pohled nesm\u00ed odstra\u0161it<\/h2>\n\n\n\n
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B\u011b\u017en\u00e1 p\u0159edstava firem je, \u017ee je pot\u0159eba sledovat mnoho dat v re\u00e1ln\u00e9m \u010dase a zpracovat je slo\u017eit\u00fdmi postupy datov\u00e9 anal\u00fdzy, abychom se dobrali smyslupln\u00e9ho v\u00fdsledku. Tato p\u0159edstava je \u010dasto odstra\u0161uj\u00edc\u00ed a k implementaci \u0159e\u0161en\u00ed proto nedojde. V b\u011b\u017en\u00fdch p\u0159\u00edpadech v\u011bt\u0161inou ale nem\u00e1 smysl implementovat drah\u00e9 syst\u00e9my datov\u00e9 analytiky s mnoha funkcemi do b\u011b\u017en\u00e9ho provozu. Parametr\u016f, kter\u00e9 je nutn\u00e9 re\u00e1ln\u00e9m provozu sledovat, je obvykle jen n\u011bkolik. Pro ur\u010den\u00ed, kter\u00fd parametr je pot\u0159eba m\u011b\u0159it je dobr\u00e9 za\u010d\u00edt pilotn\u00edm projektem na konkr\u00e9tn\u00ed v\u00fdrobn\u00ed lince, stroji \u010di procesu. V pilotu sledujeme ze za\u010d\u00e1tku v\u00edce parametr\u016f a a\u017e n\u00e1sledn\u00e1 anal\u00fdza sesb\u00edran\u00fdch dat ur\u010d\u00ed, kter\u00e9 z nich jsou kl\u00ed\u010dov\u00e9. Anal\u00fdzu je p\u0159itom mo\u017en\u00e9 d\u011blat off-line, mimo provoz, a to na IT struktu\u0159e a prost\u0159edky dodavatele \u0159e\u0161en\u00ed. V t\u00e9to f\u00e1zi cel\u00e9ho procesu se nad mno\u017estv\u00edm sesb\u00edran\u00fdch dat uplat\u0148uje \u010dasto strojov\u00e9 u\u010den\u00ed.<\/p>\n\n\n\n

V\u00fdsledkem je identifikace kl\u00ed\u010dov\u00fdch parametr\u016f, kter\u00e9 je nutn\u00e9 sledovat a tak\u00e9 zji\u0161t\u011bn\u00ed jak\u00e9 jsou zm\u011bny hodnot t\u011bchto parametr\u016f p\u0159ed v\u00fdskytem poruchy nebo v\u00fdpadku. V\u017edy z\u00e1le\u017e\u00ed na druhu za\u0159\u00edzen\u00ed, stroje, nebo procesu, jak\u00e9 parametry je pot\u0159ebn\u00e9 m\u011b\u0159it, v\u011bt\u0161inou v\u0161ak jde o teplotu, tlak, pr\u016ftok, vibrace \u010di odb\u011br elektrick\u00e9ho proudu a o zm\u011bnu jejich hodnot nad nebo pod \u201estandardn\u00ed provozn\u00ed \u00farove\u0148\u201c.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

N\u00e1sledn\u011b je na omezen\u00e9 instalaci na jedn\u00e9 \u010d\u00e1sti linky nebo stroji pot\u0159ebn\u00e9 v re\u00e1ln\u00edm provozu potvrdit v\u00fdsledky anal\u00fdzy. Je nutn\u00e9 ov\u011b\u0159it, jestli po p\u0159ekro\u010den\u00ed standardn\u00edch hodnot kl\u00ed\u010dov\u00e9ho parametru nebo v\u00edce parametr\u016f skute\u010dn\u011b dojde k poru\u0161e. V\u00fdsledkem je pak v provozu ov\u011b\u0159en\u00fd n\u00e1vrh \u0159e\u0161en\u00ed prediktivn\u00ed \u00fadr\u017eby, kter\u00fd je mo\u017en\u00e9 pom\u011brn\u011b jednodu\u0161e a s d\u016fv\u011brou nasadit ve v\u00fdrob\u011b.<\/p>\n\n\n\n

V\u00fdpadek linky v automobilce je velk\u00fdm probl\u00e9mem<\/h2>\n\n\n\n
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Dobr\u00fdm p\u0159\u00edkladem jsou podniky, kter\u00e9 vyu\u017e\u00edvaj\u00ed poh\u00e1n\u011bn\u00e9 mont\u00e1\u017en\u00ed linky. Typicky je to v automobilov\u00e9m pr\u016fmyslu. Linky jsou slo\u017eeny z velk\u00e9ho po\u010dtu pomalu se pohybuj\u00edc\u00edch platforem, na kter\u00fdch se montuj\u00ed automobily. N\u011bkdy se vlivem poruchy linka zastav\u00ed a dojde k v\u00fdpadku produkce. Pracovn\u00edci \u00fadr\u017eby v takov\u00e9m p\u0159\u00edpad\u011b mus\u00ed zjistit, kter\u00e1 z platforem zp\u016fsobila v\u00fdpadek. Po objeven\u00ed probl\u00e9mu je nutn\u00e9 vadn\u00fd komponent fyzicky vyjmout, vym\u011bnit \u010di opravit. To v\u0161e trv\u00e1 i n\u011bkolik hodin. P\u0159i bezporuchov\u00e9m stavu z mont\u00e1\u017en\u00ed linky sjede ka\u017ed\u00fdch n\u011bkolik minut jedno auto a n\u011bkolikahodinov\u00fd v\u00fdpadek, kdy linka stoj\u00ed, t\u00edm p\u00e1dem p\u0159edstavuje zna\u010dn\u00e9 finan\u010dn\u00ed ztr\u00e1ty pro firmu. U automobilek nav\u00edc linky \u201ejedou\u201c obvykle \u010dty\u0159iadvacet hodin denn\u011b, sedm dn\u00ed v t\u00fddnu. Co\u017e komplikuje prov\u00e1d\u011bn\u00ed klasick\u00e9 preventivn\u00ed \u00fadr\u017eby. Prediktivn\u00ed \u00fadr\u017eba, kter\u00e1 um\u00ed upozornit na bl\u00ed\u017e\u00edc\u00ed se poruchu s dostate\u010dn\u00fdm p\u0159edstihem, je pak \u0159e\u0161en\u00edm situace.<\/p>\n\n\n\n

Anal\u00fdza v r\u00e1mci konkr\u00e9tn\u00edho pilotn\u00edho projektu v automobilce uk\u00e1zala, \u017ee nej\u010dast\u011bj\u0161\u00ed p\u0159\u00ed\u010dinou v\u00fdpadku linky je nadm\u011brn\u00e9 zv\u00fd\u0161en\u00ed teploty pohonn\u00e9ho mechanizmu zp\u016fsobuj\u00edc\u00ed jeho poruchu nebo zablokov\u00e1n\u00ed podvozku pohybuj\u00edc\u00ed se platformy. Indikuje to zv\u00fd\u0161en\u00e1 teplota pohonu a podvozku. Ta je v implementovan\u00e9m \u0159e\u0161en\u00ed m\u011b\u0159en\u00e1 pyrometrick\u00fdmi senzory, kter\u00e9 jsou um\u00edstn\u011bn\u00e9 na n\u011bkolika m\u00edstech mont\u00e1\u017en\u00ed linky. N\u00e1sleduje p\u0159enos dat p\u0159es dostupnou s\u00ed\u0165 (industri\u00e1ln\u00ed Ethernet, nebo priv\u00e1tn\u00ed IoT LP WAN bezdr\u00e1tov\u00e1 s\u00ed\u0165) a jednoduch\u00e1 kalkulace aktu\u00e1ln\u00ed teploty proti pr\u016fm\u011bru na aplika\u010dn\u00ed \u00farovni. V aplikaci je nastaveno upozorn\u011bn\u00ed na konkr\u00e9tn\u00ed platformu, pos\u00edlan\u00e9 pracovn\u00edk\u016fm \u00fadr\u017eby formou SMS a email\u016f, kter\u00e9 dostanou s p\u0159edstihem n\u011bkolika hodin p\u0159ed v\u00fdpadkem. B\u011bhem pl\u00e1novan\u00e9 n\u011bkolikaminutov\u00e9 p\u0159est\u00e1vky je pak mo\u017en\u00e9 opot\u0159ebovanou sou\u010d\u00e1stku vym\u011bnit \u010di opravit a neztr\u00e1c\u00ed se tak drahocenn\u00fd \u010das a pen\u00edze.<\/p>\n\n\n\n

Prediktivn\u00ed \u00fadr\u017eba elektromotor\u016f<\/h2>\n\n\n\n
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O mnoho frekventovan\u011bj\u0161\u00edm p\u0159\u00edkladem, ne\u017e je mont\u00e1\u017en\u00ed linka v automobilce, je prediktivn\u00ed \u00fadr\u017eba r\u016fzn\u00fdch typ\u016f a velikost\u00ed elektromotor\u016f, kter\u00e9 jsou vyu\u017e\u00edv\u00e1ny t\u00e9m\u011b\u0159 v\u0161ude. Kontrola elektromotor\u016f se ve firm\u00e1ch p\u0159itom zpravidla prov\u00e1d\u00ed pravideln\u011b na z\u00e1klad\u011b stanoven\u00e9ho pl\u00e1nu \u00fadr\u017eby. P\u0159i v\u011bt\u0161\u00edm po\u010dtu elektromotor\u016f nen\u00ed ale takov\u00e1 preventivn\u00ed \u00fadr\u017eba t\u00edm nejefektivn\u011bj\u0161\u00edm \u0159e\u0161en\u00edm. Mnohem v\u00fdhodn\u011bj\u0161\u00ed je nasadit syst\u00e9m prediktivn\u00ed \u00fadr\u017eby, kter\u00fd v pravideln\u00fdch intervalech sleduje vibrace, teplotu a odb\u011br proudu motoru. Kdy\u017e se parametry motoru za\u010d\u00ednaj\u00ed zhor\u0161ovat, \u0159e\u0161en\u00ed upozorn\u00ed pracovn\u00edky \u00fadr\u017eby, \u017ee je na motoru nutn\u00fd jejich z\u00e1sah. Modern\u00ed IoT technologie umo\u017e\u0148uj\u00ed implementaci pot\u0159ebn\u00e9 senzoriky, p\u0159enosu a zpracov\u00e1n\u00ed dat ve form\u011b \u201eblack boxu\u201c um\u00edst\u011bn\u00e9ho p\u0159\u00edmo u motoru bez nutnosti nap\u00e1jen\u00ed z elektrick\u00e9 s\u00edt\u011b a bez rozs\u00e1hl\u00e9 kabel\u00e1\u017ee. P\u0159\u00edklad takov\u00e9ho za\u0159\u00edzen\u00ed je vid\u011bt na p\u0159ilo\u017een\u00e9m obr\u00e1zku.<\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n
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Pro\u010d investovat do IoT technologi\u00ed prediktivn\u00ed \u00fadr\u017eby?<\/h2>\n\n\n\n
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D\u00e1 se pau\u0161alizovat po finan\u010dn\u00ed str\u00e1nce n\u00e1vratnost implementace IoT \u0159e\u0161en\u00ed prediktivn\u00ed \u00fadr\u017eby? To je ot\u00e1zka, kterou si pokl\u00e1d\u00e1 \u0159ada firem. Odpov\u011b\u010f je jasn\u00e1. U\u017e v\u00fd\u0161e bylo zm\u00edn\u011bno, \u017ee nap\u0159\u00edklad odst\u00e1vka v\u00fdrobn\u00ed linky v automobilov\u00e9m pr\u016fmyslu, t\u0159eba jen p\u016flhodinov\u00e1, znamen\u00e1 velk\u00e9 finan\u010dn\u00ed ztr\u00e1ty. Nasazen\u00edm IoT \u0159e\u0161en\u00ed lze dos\u00e1hnout odstran\u011bn\u00ed v\u011bt\u0161iny v\u00fdpadk\u016f. N\u00e1vratnost m\u016f\u017eeme m\u011b\u0159it nanejv\u00fd\u0161 v \u0159\u00e1d\u016f t\u00fddn\u016f. I v p\u0159\u00edpad\u011b, kdy prediktivn\u00ed \u00fadr\u017eba s vyu\u017eit\u00edm IoT technologi\u00ed nahrad\u00ed dob\u0159e zvl\u00e1dnutou \u00fadr\u017ebu preventivn\u00ed, jako je to v p\u0159\u00edpad\u011b elektromotor\u016f, znamen\u00e1 zv\u00fd\u0161en\u00ed efektivity n\u00e1vratnost v \u0159\u00e1du m\u011bs\u00edc\u016f. Investice do IoT \u0159e\u0161en\u00ed se jednozna\u010dn\u011b vyplat\u00ed i mal\u00fdm subjekt\u016fm a podnik\u016fm.<\/p>\n\n\n\n

\"This<\/figure>\n\n\n\n
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Martin Hummel <\/strong><\/p>\n\n\n\n

Product Manager martin.hummel@soitron.com<\/p>\n<\/div><\/div>\n\n\n\n

<\/div>\n\n\n\n
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\u010cl\u00e1nek ke sta\u017een\u00ed ZDE.<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

MARTIN HUMMEL Ka\u017ed\u00fd v\u00fdpadek, ka\u017ed\u00e9 omezen\u00ed v\u00fdrobn\u00edho procesu, nebo v\u00fdroba kvalitativn\u011b nevyhovuj\u00edc\u00edch produkt\u016f, p\u0159edstavuj\u00ed pro pr\u016fmyslov\u00e9 podniky probl\u00e9m. Nasazen\u00edm modern\u00edch pr\u016fmyslov\u00fdch IoT \u0159e\u0161en\u00ed dok\u00e1\u017eeme kontinu\u00e1ln\u011b sledovat a analyzovat provozn\u00ed parametry, kvalitu produkce a v\u00fdrobn\u00ed prost\u0159ed\u00ed, probl\u00e9my v\u010das odhalit a v mnoha p\u0159\u00edpadech dokonce predikovat hroz\u00edc\u00ed z\u00e1vady a v\u00fdpadky. Data sb\u00edran\u00e1 ze senzor\u016f instalovan\u00fdch na stroj\u00edch […]<\/p>\n","protected":false},"author":30,"featured_media":41459,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[144],"tags":[317],"news_categories":[372],"class_list":["post-41259","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-clanky-cs","tag-iot-cs","news_categories-iot-cs"],"acf":[],"yoast_head":"\nSb\u011br a anal\u00fdza dat ve v\u00fdrob\u011b dok\u00e1\u017ee p\u0159edv\u00eddat v\u00fdpadky a \u0161et\u0159it n\u00e1klady - Soitron<\/title>\n<meta name=\"description\" content=\"Ka\u017ed\u00fd v\u00fdpadek, ka\u017ed\u00e9 omezen\u00ed v\u00fdrobn\u00edho procesu, nebo v\u00fdroba kvalitativn\u011b nevyhovuj\u00edc\u00edch produkt\u016f, p\u0159edstavuj\u00ed pro pr\u016fmyslov\u00e9 podniky probl\u00e9m.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sb\u011br a anal\u00fdza dat ve v\u00fdrob\u011b dok\u00e1\u017ee p\u0159edv\u00eddat v\u00fdpadky a \u0161et\u0159it n\u00e1klady - 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