Yaya ma'aikata na CNC suna kara tsari da sauyin teknoliji?

Amfani da Aiki da Robotics don Ayyukan CNC Agile

Masu ba da sabis na CNC masu tunani suna haɗa aikin sarrafa kai da robotics don cimma saurin aiki a cikin ayyukan masana'antu. Wannan canjin yana ba da damar saurin daidaitawa ga buƙatun canji yayin kiyaye daidaito a cikin hadaddun sake zagayowar samarwa.

Kayan Aiki na Kayan Aiki a cikin Babban Haɗin, Ƙananan Ƙarƙashin CNC

Robots na koyaushe, ko kamar yadda ake kira su 'cobot', sun kashe shirin ga wasu tushen da suke amfani da CNC wanda suka yi amfanin gaba daya kuma karamin karamin jihar, inda mutane suna bukata su zama cikin amfanin kafin kafin. Wadannan mashinai na iya canzawa suna bukata ayyukan kamar canzawa abubuwa, canzawa alamarai, da duba standarun kwalitas. Lokacin sauyin su zai iya rage kamar kullum, kamar yadda wadansu tushen sun nuna cewa suka rage su ne da takamaiman uku na hudu lokacin sauyin su lokacin da cobot suka hada, wanda ke baya mahaillan suyi karamin karamin kwayoyin da suka dace da kudin karamin karamin kwayoyin. Wadanda suka faru da cobot su ne iya amfani da karamin karamin abubuwa ba tare da sauyin koda yake kamar kullum. Wannan yana nufin cewa masu sanyi zai iya canzawa daga ayyuka mai tsayi zuwa ayyuka mai tsayi kuma ba su kawo karamin karamin lokacin amfani ba. Kuma wadannan hanyoyin kariya da suka haɗa da cobot su ne da kariya da sauyin koyaushe da suka dace da amfani da mutane, kamar yadda ake amfani da su a cikin tushen da suka dace da karamin karamin kwayoyin da suka dace da karamin karamin kwayoyin.

Sistemin da suka amfani da gaskiya da sauyin alamarai da sistemin da suka canza ayyukan amfani

Lokacin da tsarin gani ke aiki tare da masu sarrafa motsi masu daidaitawa, a zahiri suna ƙirƙirar saitin CNC waɗanda ke gyara kansu yayin tafiya, suna ma'amala da duk waɗannan bambance-bambance masu ban haushi da canjin zafin jiki waɗanda ke lalata daidaito. Kamara suna daukar cikakken hoton sassan yayin da ake yin su, kuma software mai kaifin baki tana gyara hanyar yankan kuma tana daidaita yadda sauri spindle ke juyawa a kan tashi. Masana'antu sun ba da rahoton kusan kashi 40-45% na kayan da aka rushe saboda wannan saitin. Don ayyuka masu rikitarwa kamar ƙirar axis 5, waɗannan tsarin suna ci gaba ba tare da buƙatar wani ya ci gaba da dubawa ba, ba kamar tsofaffin injuna waɗanda zasu tsaya kowane minutesan mintuna don daidaitawa ba. Ko da a lokacin da ake aiki ba tsayawa na sa'o'i ko kwanaki a mike, tsarin ya kasance daidai har zuwa kashi na millimeter, wanda ke nufin inji suna amfani da mafi inganci da downtime rage dramatically.

Yin amfani da AI da Koyon Injin don Inganta Ayyukan CNC

Inganta Tsarin Lokaci na Gaskiya ta hanyar AI mai sakawa

AI da aka sa'ayi a cikin sistemun CNC suna canza yadda ake amfani da 'yan kofa saboda su iya canza bayan kuma ake so'o. Sistemun gaskiya suna duba bayanan sensor daga dukkan tushen, sannan suna canza abubuwan kamar shawararri da ake so'o, yadda ake rarraba 'yan kofa, da kuma yadda ake tsaya mashi. Don Allah, shawararri da ake so'o. Idan AI ya gano farko a watsi na abu da ake so'o lokacin da ake so'o, ya canza shawararri da ake so'o. Wani mataimakai ya bayyana cewa suna samun 15% zuwa 22% a lokacin da ake so'o saboda wannan. Wani abu da ke cikin wannan canzawa mara alama? Ya kare 'yan kofa daga canzawa da kuma ya kare kwambo, wanda ke nufin cewa kudin ya zama a gida ba a sake shi. Kuma baki mu bi da kwalitas. Mataimakai da suke amfani da wannan AI don duba kwalitas suna gano cewa kusur suna yin kara kusa da hamsin % kadan. Wannan ke nufin cewa suna samun abubuwan da suka dace kafin su kare ba a sake kwalitas.

Gano na Bayanan da Ba Tare da Alama da Ake Amfani da ML da Canzawa na Shawararri da Ake So'o

Algorizamai na machine learning suka ba CNC services ta yau da kullum kuma daga cikin wadanda suka iya gano matsaloli a tsawo ne a lokacin da suka hada. Wadannan sistemai sun tsohuwa dukkan bayanan da suka gabata kamar rarraba, yadda sautin yanzu, da yadda sautin amfanin kudin kariya a lokacin da suka gabata. Sun gano wadannan alama na karami wadanda suka nuna ma'aikata idan abubuwan da suka yi amfani suka zama mai yawa ko kuma idan bearing suka zama mai yawa a lokacin da suka gabata. Sistemin ya shiga a tsawo ne idan kowace abu ya faru a cikin karamin da ke cikin hanyar da suka saba, kuma ya gyara yadda sautin amfanin kudin kariya ko ya canza abubuwan da suka yi amfani don haifar da matsalolin da suka zama mai yawa. Masu sana'ar da suka bayyana cewa suka samu 30 zuwa 40% kara kasa na kusantar da suka faru a tsawo ne saboda wannan tsarin da suka yi amfani da su, kuma abubuwan da suka yi amfani suka zama mai yawa a kowane lokaci. Wanda ke cikakken yanzu shine cewa wadannan modelai sun zama mai yawa a kowane makwabta kuma a kowane makwabta saboda amfani da su a tsawo ne. Wadansu masu sana'ar suka bayyana cewa suka iya gano duk (kamar 99.8%) na wadannan alama na karami na kofin da suka zama mai yawa wadanda suka zama mai yawa a lokacin da suka gabata. Wannan tsarin da suka yi amfani da su ya ba masu sana'ar yadda suka iya ci gaba da karamin da suka bukatar - kadan lokaci a cikin karamin da suka bukatar kamar millimeter - idan kuma akwai karamin da suka zama mai yawa a cikin al'ada na masu sana'ar.

Gudanar da Tsarin Faburka Mai Kira Tattalin Arzikin CNC Na Yau

Kullumta IoT Daga Gwamnati zuwa Gwamnati Don Tunanin Kafin Da Kuma Tunanin Maimakon Karkara

A yanzu, masu bayar da al'amarun CNC suna kulla aikin IoT daga gwamnati zuwa gwamnati wanda ya sa aiki na faburka ya zama mai kyau. Al'amari suka hada sensori a cikin su, kuma suna gaba daya da abubuwan da suka fito daga aikin su a gwamnatin shari. Mun gode akwai abubuwa kamar hankali na al'amari, canji na yadda aka fiye da yadda aka taka, kuma abubuwan da suka fito daga spindle torque. Wace ne aikin da aka yi bayan? Amma, bayanin da aka gaba daya suka yi a cikin waje kuma suna sanya su zuwa gida na bayanin da aka sanya a gwamnatin. Wannan yana kawo karamin yadda aka fiye da yadda aka taka kuma yana taimaka wajen fahimtar abubuwan da suka fiye da abubuwan da suka fito daga bayanin da aka sanya.

Yadu da suka yi amfani da algorizamai na koyon makinu don analaizin kalmomi daga wannan bayanin da aka gaba shi, suna iya gano yawa daga cikin canjin da suka nuna cewa abubuwan da suka yi ake shirin zasu kusantar da zuwa. Duk wani abu kamar tashin da suka tsayi ko makinun da suka nuna alama na farko na kuskure. Wannan ya ba shugabanan kasuwanci damar saita masu kuskure kafin makinun da suka kusantar da zuwa. Al'umma ta fito daga hanyar ina jira kafin abu ya kusantar da zuwa kuma saita shi, zuwa hanyar ina duba masu kuskure a baya. Kullum kasuwanci suna bayyana cewa suna da kusa da talatin kwarin kuskure da ba suka bayyana kafin suka gudan, idan suka amfani da wannan hanyar aiki. Kuma makinun da suka yi ake shirin suna kara karfi da suka kara lokaci da suka yi ake shirin, wanda ke nufin karamin aikin kasuwanci a lokacin da aka fiye.

Tare da tsarin sa ido na nesa, masu fasaha na iya lura da wurare da yawa ta hanyar dashboards na tsakiya yayin bincika ainihin lokacin bayanai kan yadda kayan aiki ke aiki da kuma irin makamashin da suke cinyewa. Ikon ganin duk abin da ke faruwa a wurare daban-daban yana taimaka wajan gano inda abubuwa zasu iya raguwa a layin samarwa, don haka za'a iya motsa albarkatu kamar yadda ake buƙata. Cloud tushen mafita sa ya yiwu don tura fitar firmware updates da tweak matakai a fadin dukan kungiyoyin na inji a lokaci daya. Duk wannan bayanan da aka tattara na na'ura ya zama ainihin tsare-tsaren kulawa wanda ke aiki mafi kyau a tsawon lokaci, wanda ke nufin masana'antu suna gudana da kyau kuma suna samar da ƙarin ba tare da zubar da gumi ba.

Zuba jari na dabarun da kuma bunkasa basira a cikin CNC Services

Kamfanonin sarrafa na'urori da ke son su ci gaba da yin aiki da na'urori suna saka kuɗi ba kawai a sababbin na'urori ba amma kuma a ƙwarewar ma'aikatansu. Samun kayan aiki masu yawa da kuma tsarin kula da AI ba su da amfani sai dai idan ma'aikata sun san yadda za su yi aiki da su yadda ya kamata. Shirye-shiryen koyarwa masu kyau za su iya rage kurakurai da kashi 40 cikin ɗari kuma su rage lokacin gyara abubuwa daga baya. Mafi kyawun shaguna suna gudanar da bita na yau da kullun inda masu fasaha ke samun kwarewa tare da software na kwaikwayo da kuma yin aiki don ƙirƙirar hanyoyin kayan aiki masu inganci don ayyuka daban-daban. Idan masu fasaha sun fahimci waɗannan abubuwan, za su iya sa injina su riƙa aiki na tsawon lokaci kuma hakan zai sa a rage tsawon lokacin da ake yin injin. Shagunan da suka ɗauki wannan hanyar biyu suna ganin lokacin da ba a shirya ba ya raguwa kusan 30% idan aka kwatanta da waɗanda kawai ke mai da hankali kan haɓaka kayan aiki. Kamfanoni da ke saka hannun jari a cikin takaddun shaida na ci gaba don abubuwa kamar gyaran lambar G da ƙwarewar ƙwarewar ƙwarewa sun ƙare da shiri mafi kyau lokacin da sassa suka zama ƙarancin ko farashin tsalle. Wadannan shaguna ba kawai suna tsira da canje-canjen kasuwa ba; suna zama sanannun jagora wajen samar da samfurori masu inganci da sauri fiye da kowa.

Tambayoyi Masu Yawan Faruwa

Wane ne ala'adun amfani da kyauta na koyon gaba daya a cikin tsarin CNC?

Kyauta na koyon gaba daya, ko koboti, suka taimaka mu yin kariya ga wani lokaci mafi yawa, sauyin kayan aiki, da kara karfi ga tsarin kula da kwaliti. Su na iya samun tsarin karya mai yawa da karya mafi yawa ba tare iya rubutu daya ba, wanda ya sa mu sauya karya sosai ba tare in rufe karya ba.

Yaya AI ta kara karfi ga tsarin CNC?

AI ta kara karfi ga tsarin CNC ta hanyar kara karfi ga tsarin a lokacin yanzu, sauya haɗa suka daga bayanin sensor, da kara kariya ga lokacin karya. Wannan ya zama da damar kara karfi ga kariya na kyauta, kariya ga adadin kwamfuta, da kariya ga kuskure, don haka ya kara karfi ga kariya na karya da kariya na kuskure.

Ina yin wane aiki ne machine learning a cikin tsarin CNC?

Machine learning a cikin tsarin CNC ana amfani da ita don gano abubuwa da ba su dace ba, kariya ga karya na kuskure, da sauya kariya na karya. Ta gano kariya na kyauta da kariya na kuskure a lokacin da suka gabata, ta kara kariya ga karya da ba su dace ba, da ta kara karfi ga kariya na kyauta ta hanyar sauya karya a lokacin da suka gabata.

Yaya ake samun fayilai daga halin da ke cikin kudin IoT don manufa CNC?

Halayen IoT daga kudin zuwa kudin yana ba da imkanin samun bayanai na lokacin yanzu kuma amsa su don tashin bayanai na gaba daya kuma tsarin kudin zuwa kudin. Suna taimaka wajen sauyin amfani da alama na gaba daya, yadda zasu rage kusurorin da ba su dace ba, kuma yana tabbatar da tsarin aiki na makinan da ke cikin lokaci na gaba daya.

Yaya ya zama mahimmanci in gudanen mutane a cikin al'adu na CNC?

Amincewa a gudanen mutane yana tabbatar da cewa masu aiki suna da ilimi na teknoliji na farko, yadda zasu rage kusurorin da ba su dace ba, kuma yana sauyin tsarin aiki. Kuma yana sauyin shugaban kasu don gudanen mutane domin gudanen mutane don gudanen mutane domin gudanen mutane don gudanen mutane domin gudanen mutane don gudanen mutane domin gudanen mutane don gudanen mutane domin gudanen mutane don gudanen mutane domin gudanen mutane don gudanen mutane domin gudanen mutane don gudanen mutane domin gudanen mutane don gudanen mutane domin gudanen mutane don gudanen mutane domin gudanen mutane don gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mutane domin gudanen mut......