
1. Ga'anci na Sistem
Matsayin: Iya Maimakawa da AI na Tashar Noma Turanci
An kawo shi aiki da ke nufin aikin tashar noma turanci mai zaman kansu. An kusa da matsayin "tambayar mafi yawan gaba" wanda ake amfani da ita a cikin aikin tashar noma masu zamani. Daga baya, ta yi tasiri a kan edge computing, cloud computing, da kuma artificial intelligence technologies, don in yi birnin aiki mai tsari mai suna "perception - analysis - decision - early warning." Kyauka ga sistem shine a wannan ƙarin da ya samu da learning da kuma waɗannan al'amuran da za a faruwa. Yana tashar hanyar da ya ƙunshi aiki da noma turanci, kuma ya sanin abubuwan da zai iya faruwa, kuma ya tabbatar da wurin abin da ke faruwa, kuma ya bayyana magana da ƙarin addini. Idan, ya taka da muhimmanci a cikin tushen noma turanci, kuma ya ba da aiki da zan iya da dace da aiki da ke dace da noma turanci.
2. Karkashin Na'ura
Wannan sistem an yi amfani da karkashin "Cloud-Edge" mai kyau, wanda ya koyar da aiki da kuma fahimta da kuma yadda ake bukata.
- Edge Side:
- Tsari: Ana yi amfani da intelligent acquisition terminals da suka fitowa da AI chips a cikin wurare, kamar substation da kuma distribution rooms.
- Aiki: Ya ba da aiki da zan iya yanayi data a lokacin da zai faru, kuma ya ba da aiki da zan iya sanin abubuwan da zai iya faruwa. Ya ba da aiki da zan iya sanin abubuwan da zai iya faruwa a lokacin da zai faruwa, kamar arc flashes da transient disturbances, kuma ya ba da aiki da zan iya sanin abubuwan da zai iya faruwa. Edge side ya ba da aiki da zan iya yi karatu da zan iya yi karatu, kuma ya ba da aiki da zan iya yi karatu da zan iya yi karatu, kuma ya ba da aiki da zan iya yi karatu da zan iya yi karatu.
- Cloud Side:
- Tsari: Ana yi amfani da cloud platform da ke da kyau, wanda ya ƙunshi aiki da zan iya sauka data masu tarihi.
- Aiki: Cloud shine "wisdom brain" na sistem, wanda ya yi amfani da machine learning algorithms don in yi fault prediction models da kuma equipment health assessment models. Models suka ba da aiki da zan iya yi karatu, kuma ya ba da aiki da zan iya yi karatu, kuma ya ba da aiki da zan iya yi karatu. Daga baya, cloud ya ba da aiki da zan iya sauka operation da management portal da ke da ƙarin addini.
- Mechanism na Amfani: Edge side shine "immediate reaction," idan cloud side shine "long-term learning." Models da ake yi amfani a cikin cloud an yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side, kuma ana yi amfani a cikin edge side,......