Kulamulira Zinthu Zambiri Motsogozedwa ndi Ukadaulo Kulowa Mumsewu Wofulumira — Machitidwe Okakamiza Zinthu Kunja kwa Malo Omwe Akutsogolera Nthawi Yatsopano Yolamulira Magalimoto Mwanzeru

M'zaka zaposachedwapa, chifukwa cha kupita patsogolo kwachangu kwa njira zoyendera za dziko lonse la China komanso njira zoyendera pa intaneti, madera osiyanasiyana m'dziko lonselo ayamba kupanga njira zowongolera kuchuluka kwa magalimoto zomwe zimagwiritsa ntchito ukadaulo. Pakati pa izi, Off-site Overload Enforcement System yakhala njira yofunika kwambiri pakukweza kayendetsedwe ka magalimoto akuluakulu komanso odzaza kwambiri. Njira yake yogwira ntchito bwino, yolondola, komanso yanzeru yoyendetsera magalimoto ikusintha njira zachikhalidwe ndikuyendetsa mafunde atsopano a kusintha kwa kayendetsedwe ka magalimoto mdziko lonse.

Kulimbikitsa Ukadaulo Wapamwamba: "Alonda Amagetsi" Ogwira Ntchito 24/7

Dongosolo loyendetsera ntchito kunja kwa malo limaphatikiza ukadaulo wapamwamba monga dynamic weighing (WIM), vehicle dimension measure (ADM), luntha lozindikira magalimoto, high-definition video surveillance, LED real time information display, ndi edge computing management. Dynamic weighing sensors, laser imaging devices, ndi HD cameras zomwe zimayikidwa pamalo ofunikira amisewu zimatha kugwiritsidwa ntchito.kuzindikira molondola kulemera konse kwa galimoto, kukula kwake, liwiro lake, kapangidwe ka ekseli, ndi zambiri zokhudza chiphaso cha galimoto pamene magalimoto akuyenda pa liwiro la 0.5–100 km/h.

Kudzera mu mgwirizano wozama wa ma neural network algorithms, adaptive filtering algorithms, ndi AI edge computing, dongosololi limatha kuzindikira magalimoto odzaza kapena akuluakulu ndikupanga unyolo wathunthu wa umboni walamulo. Ukadaulo wa Blockchain umatsimikizira kukhulupirika kwa deta komanso kusungidwa kosasokonezedwa, zomwe zimapangitsa kuti deta isasokonezedwe."Kuyang'anira galimoto iliyonse, kutsata bwino, kusonkhanitsa umboni wokha, komanso kukweza nthawi yeniyeni."

Ogwira ntchito amafotokoza dongosololi ngati "gulu lolimbikitsira malamulo amagetsi losatopa," lomwe limagwira ntchito maola 24 pa tsiku, masiku 7 pa sabata, zomwe zimapangitsa kuti kuyang'anira misewu kuyende bwino komanso kufalikira kwa magalimoto kukhale koyenera.

Kuphatikiza kwa Ukadaulo Wolemera Wambiri Kumatsimikizira Kuzindikira Kolondola Pa Liwiro Lonse

Dongosolo lamakono la overload la Off-site limagwiritsa ntchito mitundu itatu yayikulu ya ukadaulo wolemera mphamvu:

·Mtundu wa quartz (wosasinthika):pafupipafupi poyankha kwambiri, yoyenera mitundu yonse ya liwiro (lotsika, lapakati, lapamwamba).

·Mtundu wa mbale (wosasinthika):kapangidwe kokhazikika, koyenera kuthamanga pang'ono mpaka pakati.

·Mtundu wopapatiza wa mzere (wosinthika):pafupipafupi poyankha, yoyenera liwiro lapakati mpaka lotsika.

Ndi ma algorithms ophunzitsidwa pa ma data okwana 36 miliyoni, kulondola kwa dongosolo kuli kokhazikika pa JJG907 Level 5, ndi kukweza kwakukulu kufika pa Level 2, kukwaniritsa zofunikira pamisewu ikuluikulu, misewu yadziko lonse ndi yachigawo, ndi makonde onyamula katundu.

Kuzindikira Mwanzeru ndi Kusanthula Big Data Kumapangitsa Kuphwanya Malamulo “Palibe Pobisalira”

Gawo lanzeru lozindikira magalimoto la dongosololi limatha kuzindikira zokha zolakwika monga ma layisensi obisika, owonongeka, kapena abodza, pomwe limaphatikiza kuzindikira mawonekedwe agalimoto ndi deta yoyikira BeiDou kuti zitsimikizire "galimoto kuchokera pa plate".

Kuwonera makanema apamwamba sikuti kumangosonkhanitsa umboni wa kuphwanya malamulo komanso kuzindikira mwanzeru zolakwika za pamsewu, kupereka deta yosinthika ya malingaliro kwa akuluakulu a magalimoto.

KumbuyoPulatifomu Yowongolera Yogwirizana ndi Digito Yowonekera, kutengera mamapu a GIS, IoT, kusanthula deta ya OLAP, ndi mitundu ya AI, kumalola kukonza ndikuwonetsa deta yonse yodzaza ndi misewu, kupatsa akuluakulu olamulira kusanthula ziwerengero, kutsata, ndi chithandizo cholondola chotumizira.

Kuchokera ku "Njira za Mafunde a Anthu" mpaka "Kuyang'aniridwa ndi Ukadaulo," Kuwonjezeka kwa Kugwiritsa Ntchito Mphamvu Mwachangu

Poyerekeza ndi kuwunika kwachikhalidwe kwamanja, machitidwe okakamiza kudzaza zinthu zambiri kunja kwa malo akuyimira kukweza kwathunthu:

·Kugwiritsa ntchito bwino malamulo kwawonjezeka kangapo:kuzindikira kokha popanda kuchitapo kanthu pamanja.

·Kuchepetsa zoopsa zachitetezo:antchito ochepa ogwira ntchito usiku kapena m'magawo oopsa a misewu.

·Kufalikira kwakukulu:zipangizo zamakono zomwe zagwiritsidwa ntchito m'madera, misewu, ndi malo olumikizirana.

·Kukhazikitsa malamulo mwachilungamo:unyolo wathunthu komanso wodalirika wa umboni, kuchepetsa zolakwika pakuganiza kwa anthu.

Pambuyo poyika dongosololi m'chigawo chimodzi, kupezeka kwa anthu onenepa kwambiri kunawonjezeka ndi 60%, kuwonongeka kwa misewu kunachepa kwambiri, ndipo khalidwe la misewu linapitirirabe kukwera.

Kulimbikitsa Kutsatira Malamulo a Makampani ndi Kuthandizira Chitukuko cha Mayendedwe Abwino Kwambiri

Kulamulira zinthu mopitirira muyeso pogwiritsa ntchito ukadaulo sikuti kumangowonjezera njira zogwiritsira ntchito malamulo komanso kusintha kayendetsedwe ka makampani. Kugwiritsa ntchito kwake kumathandiza:

·Kuchepetsa mayendedwe onenepa kwambirindi kuchepetsa ndalama zokonzera misewu.

·Chepetsani ngozi za pamsewukuteteza miyoyo ndi katundu.

·Konzani bwino msika wa mayendedwe, kubweretsa mitengo yonyamula katundu pamlingo woyenera.

·Limbikitsani kutsatira malamulo a bizinesi, kuchepetsa zoopsa zogwirira ntchito zomwe zimachitika chifukwa cha kuphwanya malamulo.

Makampani ambiri okonza zinthu amanena kuti kutsatira malamulo akunja kwa malo kumapangitsa kuti malamulo amakampani akhale omveka bwino komanso osavuta kuwalamulira, zomwe zimapangitsa kuti gawo la mayendedwe liziyenda bwino, kukhala la digito, komanso lanzeru.

Yoyendetsedwa ndi ukadauloKulamulira Kuchuluka kwa Zinthu Kumatsegula Mutu Watsopano mu Mayendedwe Anzeru

Ndi chitukuko cha AI, big data, ndi IoT, machitidwe okakamiza overload kunja kwa malo adzapita patsogolo kwambiri.luntha, kulumikizana, kuwonetsa, ndi kugwirizanaM'tsogolomu, dongosololi lidzakhala ndi gawo lofunika kwambiri pa kayendetsedwe ka chitetezo cha pamsewu, kukonzekera misewu, ndi kutumiza mayendedwe, kupereka chithandizo champhamvu chaukadaulo chomanga njira yoyendera yamakono yotetezeka, yogwira ntchito bwino, yobiriwira, komanso yanzeru.

Yoyendetsedwa ndi ukadaulo Kuwongolera kuchuluka kwa magalimoto kukukhala injini yamphamvu yoyendetsera kayendetsedwe ka mayendedwe munthawi yatsopano.