Product Sumo
DeepDragon ™, Inopayona pasi rose uye inotungamira pasi rose inotungamira yakangwara sisitimu inogona kukurumidza kubatsira mukugadzira uye yechitatu-bato kushanda nemazvo munzvimbo dzakatarwa. Kurumidza uye nekukasira kugadzirisa izvo zvekukurumidzira kuita sarudzo dzekuita sarudzo dzeindasitiri yekuchenesa tsvina yekumaruwa yekugadzira otomatiki, mari yekudyara bhajeti, uye kushanda kwakabatanidzwa kwezvidyarwa zvetsvina nemapombi matsva ezviteshi. Kuenzaniswa nedhizaini yechinyakare, kugona kunogona kuvandudzwa neinopfuura 50%, uye inobudirira chiyero chekushanda kwezvinhu chinogona kusvika ku100%, kuwana 24/7 hungwaru kushanda kwefekitori network, iine tarisiro yakakura yekushandisa tekinoroji.
Kubatanidza mauto neInstitute of Automation yeChinese Academy yeScience kumisa China Academy yeScience Suzhou Research Institute Liding Environmental Protection Joint Laboratory.
Mutungamiriri wekutanga pasi rose
International Technology Novelty Search Report
50 + kuvandudza mainjiniya1000 mazuva ekutsvagisa tekinoroji uye kusimudzira 4 musimboti wekugadzira patents
Nhoroondo ye Core Technology
Kuti ugadzirise dambudziko rekuwana dhata rekutanga munzvimbo yakatarwa, sisitimu inotora nzira yekukurumidza yekuenzanisira yemuchadenga uchishandisa isina kurongwa mota dzemuchadenga mukuwedzera kune dzakajairwa nzira dzekuwana kuwana data. Algorithms yakavakirwa pakudzidza kwakadzama inogona kuona otomatiki zvinhu zvakaita semigwagwa, dzimba, uye masisitimu emvura. Ziva otomatiki kuongorora uye kukurumidza kuzivikanwa kwezvinangwa.
Parizvino, sisitimu iyi yapedza modhi yekudzidziswa uye kudzidza kwe data rekuunganidza mifananidzo yemuchadenga mune anopfuura 5000 akasiyana mativi ezviitiko, iine otomatiki zvirevo zve90%. Inogona kupfupisa zvakanyanya kana kutsiva basa rekutanga redhata senge nzvimbo yekumaruwa uye ongororo yemamiriro ekunze uye zvirevo, kuvandudza zvakanyanya kushanda zvakanaka, uye kuchengetedza nguva nemari yevashandi.
Mukugadzirwa kwepombi, zvichienderana nemigumisiro yekuzivikanwa kwechimiro, chirongwa chekugadzirisa chinoitwa, tichifunga nezvekuoma kwedzimba dzekumaruwa nemigwagwa. Pakutanga kwedhizaini, takatora matekinoroji akasiyana siyana uye maalgorithms akadai sekuwedzera network network kuburitsa uye kuchenesa mugwagwa network skeleton, kubvisa kana kuderedza matavi enhema mumigwagwa network, uye kuchekerera nekuchenesa mugwagwa wetiweki kuita yakabviswa mugwagwa network. skeleton zvakanyanya kuenderana neiyo chaiyo mugwagwa network chimiro.
Uchishandisa dzidziso yemagirafu, kurudzira modhi yemepu yemumusha wekumaruwa, tora nekushandura zvinhu zvakaonekwa, uye gadzira modhi yemepu yemumusha yekumaruwa inodhinda nekuona hukama huri pakati pedzimba, migwagwa, nemadaro adzo nehurefu hunoenderana nemusha.
Chekupedzisira, iyo graphical data uye ruzivo rwekukwidziridzwa kunoiswa mupipeline network chizvarwa algorithm. Kuburikidza nekudzokorodza kwakawanda, iyo imwechete sosi ipfupi nzira algorithm inodanwa kubatanidza iyo nyanzvi yedhizaini ruzivo inounganidzwa neakawanda mayuniti ekugadzira mumitemo yekugadzira.
Yakasanganiswa neiyo algorithm, iyo yakadzama kudzidza kwepipeline dhizaini yemitemo inogona kunyatso kutevedzera kuyerera kwetsvina uye pombi pre laying zvirongwa. Deredza mwero wekukanganisa wepombi yekugadzira otomatiki dhizaini kusvika mukati me10%.
Iyo sisitimu inogona kuburitsa otomatiki yakadzama yekudyara bhajeti rondedzero yakavakirwa pahuwandu hweinjiniya data uye mutengo wemitemo unopihwa mune otomatiki pombi dhizaini dhizaini. Ziva bhajeti ine nguva uye ine musoro.
Mukugadzira pombi dhizaini, kusarudzwa kwemidziyo kunogona kuwanikwa, uye sisitimu inogona kusarudza akasiyana emidziyo zvigadzirwa uye maitiro zvichienderana nedunhu rekushandisa mvura data rakapihwa nealgorithm, ichisimbisa iyo yakabatanidzwa manejimendi yefekitori uye network.
Iyi puratifomu inopa chaiyo-nguva yekugadzirisa yezvivakwa uye pombi dhizaini, uye maalgorithms anogona kutora uye kudzidza ruzivo rwevashandisi, kusimudzira kugona kwechigadzirwa kwevanhu-kombuta uye kugadzirisa hungwaru hwechigadzirwa.
Iyi puratifomu inopawo imwe-yekumira mhinduro yevashandisi kugadzirisa mepu mafomati eWebGIS kuona kwekusimudzira, inotsigira mafomati akadai seanowanzo shandiswa AutoCAD DWG fomati mafaera, GeoJSON uye mamwe anowanzo shandiswa GIS faira mafomati, Inoshandisa WebGL vector blocks uye tsika masitaera kuratidza. mamepu anodyidzana, achipa nyowani hombe data yekuona uye chaiyo-nguva yekufambisa data kuona mabasa. Kuburikidza nechigadzirwa ichi, mafaera ekugadzira pombi anogona kutakurwa uye kuratidzwa pamamepu eGIS. Ziva yakasanganiswa manejimendi yefekitori network data mukati mehupenyu hwese.
Liding Environmental Protection's decentralized sewage operation platform yakagadzira itsva decentralized sewage operation model. Inogona kuzadzisa kuzvitonga kuzere uye kudzoreka, nekukurumidza kutumira, yakagadzirira kushandisa data kuwana, inochinjika mashandiro ekugadzirisa, uye yakaderera mutengo wekuvaka. Panyaya yekudzikiswa kwemutengo, kuvandudzwa kwehunyanzvi, kudzivirira njodzi uye kutevedzera, isu tine chinangwa chekuwedzera chiyero chekushanda kwemidziyo, kuderedza mari yekushandisa simba, kuderedza nguva yekuongorora kwevashandi, nekuvandudza kutarisa nekuita sarudzo. Kunyatsonatsiridza chiyero, hunyanzvi, chiyero, uye hungwaru nhanho yekushanda nekugadzirisa zvikamu, uye kushandira zvirinani mashandiro uye manejimendi ekurapwa kwetsvina yekumaruwa.
Iyo sisitimu inogona kuseta zvakasununguka mitemo yealarm kuti ione real-time alarm uye WeChat official account push, nehungwaru kugovera basa, vashandi uye kusaina mota mukati uye kusaina kunze, kushandiswa kweruzivo rwekushandisa uye kugadzirisa, uye otomatiki chizvarwa cheshumo rekushanda.
Inogona kuderedza nguva yekuongorora nemanyorero ne40%, kuvandudza kutarisa nekuita sarudzo ne20%, kuwedzera zvakanyanya kumiswa, hunyanzvi, kusimudzira, uye hungwaru hwekushanda nekugadzirisa zvikamu, uye kushanda zvirinani mashandiro uye manejimendi esuweji yekumaruwa. kurapwa.
R&D Maitiro
