Gore Idzva Rinofadza Mugore reNyoka,
Zvinofanira kunge zviri "Deepseek" uye "Nezha"!
Sezvo ichikura nekukurumidza pasi rose,
Ndakanga ndakarasika mukufunga naye.
Nekukurumidza kwekukura kwemaguta uye kushanduka kwedhijitari, modhi yekutarisira mvura yakakurumidzisa kutsvaga kwekuvandudza mashandiro, masevhisi, data, kuita sarudzo, uye kufanotaura. Zvave zvekukurumidzira kushandisa big data kuwedzera rutsigiro rwebhizinesi uye kugadzirisa kufanotaura. Nhasi, regai DeepSeek iite kufunga nekuongorora panyaya dzedu dzemvura dzakangwara. Semunhu ari kutora chikamu munyaya dzemvura dzakangwara, izvi zvinotibata here?
Mubvunzo 1:
Ndezvipi zvinonyanya kukonzera kurwadziwa kwemvura yakangwara pari zvino?
(Zvinyorwa zvinotevera zvinogadzirwa neAI kuti zvishandiswe)
1. Kuoma kwekuunganidza nekubatanidza data
✳Manyuko akasiyana-siyana edata: Zvakaoma kubatanidza data kubva kunzvimbo dzakasiyana-siyana dzakadai semasensa, michina yekutarisa, uye zvinyorwa zvemaoko.
✳Hunhu hwedata hwakasiyana-siyana: Data rinogona kunge risipo, risina ruzha, kana kuti risingaenderane nefomati.
2. Ungwaru hushoma hwehurongwa
✳Kuvimba nekushanda nemaoko: Masisitimu mazhinji achiri kuda kupindira kwakawanda nemaoko, uye mwero wekushanda otomatiki hausi wepamusoro.
✳Kushaikwa kwekuongorora kwakangwara: Kugona kuongorora data kwakaderera, uye zvakaoma kupa kufanotaura kwakarurama uye rutsigiro rwesarudzo.
3. Kugadzirisa nekutarisira michina yakaoma
✳Mhando dzakasiyana-siyana dzemidziyo: Midziyo yemhando dzakasiyana uye mamodheru inowedzera kuoma kwekugadzirisa.
✳Kuonekwa kwezvikanganiso kunonoka: Kukundikana kwemidziyo kunowanzoonekwa chete kana dambudziko racho rakakura.
4. Kushandiswa kwesimba rakawanda uye mutengo waro
✳Kushandiswa kwesimba rakawanda: Sisitimu yekudhonza mvura inoshandisa simba rakawanda kuti ishande, izvo zvinowedzera mari yekushandisa.
✳Mari yakawanda yekugadzirisa: Mari yekugadzirisa nekubhadhara michina yakakwira.
5. Zvinodzvinyirira zvakatipoteredza nemutemo
✳Zvinodiwa zvakasimba zvekuchengetedza nharaunda: Zvinodiwa kutevedzera mitemo yekudzivirira nharaunda iri kuramba ichioma.
✳Kutarisirwa kweveruzhinji: Veruzhinji vanoteerera zvakanyanya mashandiro enzvimbo dzemvura dzinoyerera.
Dambudziko guru rekushandisa mvura yakachena ndiro dambudziko guru rekubatanidza tekinoroji-hutungamiri-nzanga mukushandurwa kwemasisitimu akaomarara, ayo anofanira kupedzwa kuburikidza ne "dhiraivha yemavhiri maviri" ye "digital twin + system reconstruction" pane kuvandudzwa kwetekinoroji kuri nyore.
Mubvunzo 2:
Ndezvipi shanduko dzichaunzwa nekudhonza mvura kwakangwara kana kuchibatanidza DeepSeek?
(Zvinyorwa zvinotevera zvinogadzirwa neAI kuti zvishandiswe)
1. Kufanotaura njodzi dzinochinja-chinja uye kusimudzira mhinduro dzenjodzi
✳Kutevedzera mafashamo emvura ine dutu: Zvichibva pamuenzaniso weDeepseek we multimodal, unobatanidza data re radar remamiriro ekunze, kukwirira kwenyika, uye ruzivo rwe topology ye network yepombi kuti uvake mapatya edhijitari emvura yemumaguta. Tichitora semuenzaniso weShenzhen, AI inogona kutevedzera mutoro we network yepombi yepasi pevhu muFutian CBD mukati memaawa maviri ekunaya kwemvura, kufanotaura nzvimbo dzine kudzika kwemvura kupfuura 30cm, uye kubatanidza system yetraffic kuti ivhare nzvimbo gumi neshanu dzinogona kukanganiswa nemafashamo pachine nguva.
✳Yambiro yehutano hwemapombi: Shandisa tekinoroji yeNLP kuongorora makore makumi maviri enhoroondo yekuchengetedza, kubatanidza CV ongororo yemifananidzo ye endoscopy yepombi, uye kugadzira modhi yekufanotaura ngura.
2. Kugadzirisa zvinhu zvinofanotaurwa
✳Nekuongorora data re sensor, Deepseek inogona kufanotaura kukundikana kwemidziyo, kuronga kugadzirisa pachine nguva, kuderedza njodzi yekukundikana kamwe kamwe, uye kuwedzera hupenyu hwemidziyo.
3. Kugadzirisa mari yekushandisa nekuchengetedza nzvimboiyoni
✳Kudzora boka remapombi: MuSuzhou River drainage system muShanghai, Deepseek's reinforcement learning model inoongorora huwandu hwemvura, mutengo wemagetsi wakakwira uye mupata, uye data remafungu enzvimbo gumi nematanhatu dzepombi panguva chaiyo kuti igadzirise musanganiswa wepombi nenzira inochinja-chinja.
✳Kuronga nzira dzemarobhoti ekubvisa silt: Guangzhou inoshandisa marobhoti ekuongorora mapaipi anotungamirwa neAI kuona zvikamu zvepaipi zvine silt inodarika 60% kuburikidza nemakore e3D uye kugadzira nzira dzakanaka dzekushanda. Chirongwa chekuedza muLiwan District chakaderedza kuongororwa nemaoko ne70% uye chakawedzera kushanda zvakanaka kwekubvisa silt nekatatu.
4. Kusarudza zvinhu zvinoenderana nedata
✳Ipai maturusi ekuongorora data kuti abatsire mamaneja kuita sarudzo dzesainzi dzakawanda zvichibva padata rekare neruzivo rwenguva chaiyo uye kugadzirisa kugoverwa kwezviwanikwa.
5. Kudzora otomatiki
✳Kubatanidza AI neInternet of Things, Deepseek inoita kuti pave nekudzora otomatiki masisitimu emvura, inoderedza kupindira nemaoko, uye inoderedza mari yekushandisa.
6. Zvakanakira zvakatipoteredza
✳Nekugadzirisa nzira dzekubvisa mvura uye kuderedza kuwanda kwemvura uye kusvibiswa, Deepseek inobatsira kuvandudza kunaka kwenzvimbo yemvura uye kutsigira budiriro inoenderera mberi.
Mubvunzo 3:
Ndedzipi mhinduro dziripo iDeepseek?
(Zvinyorwa zvinotevera zvinogadzirwa neAI kuti zvishandiswe)
1. Kuunganidzwa kwedata nekubatanidzwa
✳Puratifomu yedata yakabatana: Ipai puratifomu yekuunganidza data yakabatana uye yekubatanidza kuti itsigire kuwanikwa kwedata rine masosi akawanda.
✳Kuchenesa nekuisa data muchimiro chemuchina: Zvishandiso zvekuchenesa nekuisa data muchimiro chemuchina kuti zvive nechokwadi chekuti data rakanaka.
2. Kuvandudzwa kwehungwaru
✳Algorithm yeAI: Shandisa algorithm yeAI yekuongorora data kuti upe rutsigiro rwekufanotaura uye sarudzo.
✳Kudzora otomatiki: Ziva mashandiro esystem uye deredza kupindira nemaoko.
3. Kugadzirisa nekutarisira michina
✳Kutarisa hutano hwemidziyo: Kutarisa mamiriro emidziyo panguva chaiyo uye kunyeverwa kwekutanga kwekunge yakundikana.
✳Puratifomu yekutarisira kugadziriswa: Ipai puratifomu yekutarisira kugadziriswa kwemidziyo kuti ivandudze maitiro ekugadzirisa.
4. Kugadzirisa simba uye mutengo
✳Kutarisa mashandisirwo esimba: Kutarisa mashandisirwo esimba panguva chaiyo uye kupa mazano ekugadzirisa.
✳Kuongorora mutengo: Ipa maturusi ekuongorora mutengo kuti ubatsire kuderedza mari yekushandisa.
5. Kudzivirirwa kwezvakatipoteredza uye kutevedzera mitemo
✳Kutarisa zvakatipoteredza: Kutarisa zviratidzo zvezvakatipoteredza panguva chaiyo kuitira kuti pave nechokwadi chekuti mitemo yatevedzwa.
✳Kugadzira mishumo: Gadzira mishumo yezvakatipoteredza otomatiki kuti zvive nyore kuita kuti mitemo itevedzerwe.
Ngatitarisei
Ongororo yeDeepseek yekujekeswa kweindasitiri yemvura yakangwara
1. Kunzwisisa kwakarurama, kunotungamirirwa nedata
Mamiriro ezvinhu aripo iye zvino: Masisitimu emvura ekare ane nzira shoma dzekuunganidza data, uye data rakawanda, zvichiita kuti zviome kunzwisisa zvizere mashandiro esystem iyi.
Kujekeswa: Shandisa ma IoT sensors, ma drones, satellite remote sensing nedzimwe tekinoroji kuti uvake network yakazara, ine mazinga akawanda ekuona madhiraini, kuunganidza data rakadai sekuyerera, mhando yemvura, uye huwandu hwemvura munguva chaiyo, uye kushandisa DeepSeek's powerful data processing kugona kuchenesa, kubatanidza uye kuongorora data kuti ipe rutsigiro rwedata rwakarurama pakuita sarudzo.
2. Yambiro dzekuchenjera dzekutanga, matanho ekudzivirira
Mamiriro ezvinhu aripo iye zvino: Nzira yekunyevera nekukurumidza zvikanganiso zvemuchina wekubvisa mvura haina kukwana, uye inowanzo gadziriswa mushure meizvozvo, zvichikonzera kurasikirwa kukuru.
Kujekeswa: Zvichibva padata rekare uye data renguva chaiyo, uchishandisa algorithm yekudzidza kwemuchina yeDeepSeek, vanogadzira modhi yekufanotaura mamiriro ekushanda kwesystem yekubvisa mvura kuti vawane yambiro yekutanga yenjodzi dzakadai sekuvharika kwemapaipi, kuwanda kwemvura, uye kusvibiswa kwemvura, uye kutora matanho pachine nguva kudzivirira matambudziko asati aitika.
3. Gadzirisa kuronga nguva uye mashandiro anoshanda zvakanaka
Mamiriro ezvinhu aripo iye zvino: Kushanda nekuronga hurongwa hwemadhiraivha emvura kunoenderana neruzivo rwemaoko, izvo zvisingashande zvakanaka uye zvakaoma kubata nemamiriro ezvinhu akaomarara uye anochinja-chinja.
Kurudziro: Shandisa algorithm yeDeepSeek yekusimbisa kudzidza kuvaka modhi yehurongwa hwehurongwa hwemasisitimu emvura. Zvichienderana nedata renguva chaiyo uye mhedzisiro yekufanotaura, gadzirisa nzira dzekushanda kwenzvimbo dzakadai senzvimbo dzekupomba nemagedhi kuti uwane mashandiro anoshanda zvakanaka uye anochengetedza simba emasisitimu emvura.
4. Kubatsira pakuita sarudzo uye kuronga kwesainzi
Mamiriro ezvinhu aripo iye zvino: Kuronga masisitimu emvura hakuna hwaro hwesainzi uye zvakaoma kusangana nezvinodiwa nekuvandudzwa kwemaguta.
Kurudziro: Shandisa hunyanzvi hweDeepSeek hwekuongorora data uye kuenzanisa kuvaka modhi yedhijitari yedhijitari yedhijitari yekudhonza mvura kuti utevedzere mamiriro ekushanda kwesystem pasi pezvirongwa zvakasiyana zvekuronga, uye kupa hwaro hwesainzi hwekuronga, kuvaka uye kushandura masisitimu edhijitari.
5. Mashandisirwo matsva uye kuwedzera miganhu
Mamiriro ezvinhu aripo iye zvino: Maitiro ekushandisa indasitiri yekuchenesa mvura yakangwara ari ega, uye mashandisirwo matsva haana kukwana.
Kurudziro: Ongorora mashandisirwo matsva eDeepSeek mumunda wekubvisa mvura netsvina, akadai se: kuona otomatiki zvikanganiso zvepaipi zvichibva pakuona mifananidzo; kushanda nekuchenjera uye kugadzirisa nzvimbo dzekubvisa mvura netsvina zvichibva pakugadzirisa mutauro wechisikigo; kuvaka ruzivo rwehurongwa hwekubvisa mvura netsvina zvichibva pagirafu yeruzivo.
一. Kufanotaura kwakangwara uye kugadzirisa simulation
Yambiro yemvura: Zvichibva panhoroondo yemvura, mutoro wepaipi, uye data renzvimbo, modhi yekufanotaura nguva inoshandiswa kufanotaura nzvimbo dzemvura pachine nguva uye kugadzirisa hurongwa hwenzvimbo dzepombi.
Kuongorora hutano hwepaipi: Kuburikidza nekudzidza kwemuchina, mavhidhiyo ekuona mapipeline CCTV uye data re sensor (rakadai sekuyerera nekumanikidzwa) zvinoongororwa kuti zvionekwe otomatiki kukuvara kwepaipi uye njodzi dzekuvharika kwayo uye kuderedza mari yekuongorora nemaoko.
Kuenzanisa modhi yeHydraulic: Pamwe chete nemaalgorithms ekudzidza ekusimbisa, ma parameter emodhi yehydraulic yenetwork yekudhonza mvura anogadziriswa nenzira inochinja-chinja kuti awedzere kurongeka kwekufananidzira.
Zvimwe. Nzira dzekugadzirisa Matambudziko eIndasitiri
Zvimwe. Mafambiro eramangwana: shanduko kubva pa "maonero" kuenda ku "kuita sarudzo dzakazvimirira"
Kuvandudzwa kweruzivo rweEdge: isa machipisi eAI akareruka pamakavha emvura anodonhedza mvura uye panzvimbo dzekupomba kuti uwane ongororo chaiyo (yakadai sekuona kuunganidzwa kwemvura mumavhidhiyo) uye kuderedza kunonoka kwekutumirwa kwemakore.
Kushandisa magirafu eruzivo zvakadzama: kuvaka girafu yeruzivo rwe "mhinduro yezvikanganiso-chikonzero-chekuita" yemasisitimu emvura, kutsigira kupindura mibvunzo nekugadzira mazano ekugadzirisa, uye kuderedza mukana weruzivo rwevashandi vehunyanzvi.
Kudzora kwekushandira pamwe chete: kuburikidza nekudzidza kwekusimbisa zvinhu zvakawanda, kuwana kutonga kwekushandira pamwe chete kwenzvimbo dzepombi, magedhi, uye matangi ekuchengetera zvinhu kuti vagadzire network inoshanduka yemvura inoyerera.
Muenzaniso mutsva wekutenderera kwemhepo ine kabhoni shoma: AI inotungamidza "kugadziriswa kwesimba rekugadzirisa mashandiro" kwenzvimbo dzekuchenesa tsvina, dzakadai sekuvandudza kugona kwayo kuzvimiririra kuburikidza nekudzora kugaya kwemvura isina kunyorova uye kugadzirwa kwemethane panguva chaiyo.
Matambudziko nemazano
Zvipingamupinyi zvedata: Zvakakosha kukurudzira nzira dzehurumende nedzemakambani dzekugovana data uye kugadzira nzira dzakajairwa dzekubatanidza data muindasitiri yekubvisa mvura.
Kugadzirisa modhi: kugadzirisa matambudziko ekugadzirisa modhi anokonzerwa nekusiyana kwemagadzirirwo emadhiraivha mumaguta akasiyana kuburikidza nekudzidza kutamisa.
Kudzoserwa kwekuchengetedzwa: Masisitimu ekugadzira sarudzo dzeAI anofanirwa kuisa zvirambidzo zvemuviri (zvakadai semuganhu wekumanikidzwa kwenetwork yemapaipi) kudzivirira tsaona dzinokonzerwa nekugadzirisa zvakanyanya maalgorithms.
五.Pfupiso yekufemerwa
Indasitiri yemvura yakangwara inofanirwa kuramba ichichinja-chinja zvichienderana ne "data-algorithm-system" triangle architecture
Rutivi rwedata: Vaka network yekuona pasi rose kuti uparadze "chitsuwa chedata"
Algorithm layer: Gadzira mamodheru akatarisana nenzvimbo yakatarwa (senge mamodheru ekubatanidza mvura nemafashamo)
Chikamu chehurongwa: Ziva manejimendi ye "kutarisa-kudzora-kuchenjerera-kutanga kweyambiro", uye pakupedzisira tungamira kune kuzvitonga kwakangwara kwemasisitimu emvura emumaguta.
Mune ramangwana, kubatanidzwa kwakadzika kweAI nenyaya dzemvura kuchachinja ketani yekubatsira yeindasitiri yekubvisa mvura - kubva pakununura pasina kupindira kusvika pakudzivirira, kubva pakuva neruzivo rwakadzama kusvika pakuita sarudzo dzesainzi, uye kupa hwaro hwakakosha hwehunyanzvi hwekuvandudza kugona kwemaguta.
Mabasa akati wandei anofungidzirwa kune akasiyana mamiriro ezvinhu
Ngatitarisei pamwe chete
(Kungofungidzira chete, hapana nyaya dzakajeka)
Basa 1: Chiremba weMapaipi
Basa: Kugara mukati meguta mupombi dzepasi pevhu, "kuteerera" panguva chaiyo kuburikidza nemasensa ekunyora manzwi uye data rekudengenyeka, pamwe chete nekudzidza kwakabatana kuti ugovane mapatani ekudonha kwemvura, kuwana nemazvo mitswe yemazinga emamiriyoni.
Mitsetse yeanthropomorphic: "Pane kudonha kudiki pamamita 2.7 mupombi huru yeZone 3, uye kushanduka kwesimba remhepo i0.03MPa. Zvinokurudzirwa kuti ugadzirise mukati memaawa makumi mana nemasere."
Basa rechipiri: Muprofita wePulse yeMvura
Basa: Zvichibva pamasateliti emamiriro ekunze, hunyoro hwevhu, uye data rekare remushandisi, zvinofanotaura kudiwa kwemvura kwakanyanya mumaawa makumi manomwe nemaviri anotevera, uye zvinogadzirisa simba rekugadzira fekitari yemvura uye kumanikidzwa kwenzvimbo yekupomba mvura.
Mitsara yeAnthropomorphic: "Mangwana masikati mvura yakawanda ichaita kuti kushandiswa kwemvura munzvimbo yemaindasitiri kuderere ne15%. Zvinokurudzirwa kuderedza nguva yePump Station B kusvika pa45Hz."
Basa rechitatu: Mutariri weMvura Yemhando Yepamusoro
Basa: Boka remadrone ane ma micro-spectrometers anofamba-famba murwizi, anoona simbi dzinorema netupukanana twakawanda munguva chaiyo, uye anochengeta zviitiko zvekusvibiswa kuburikidza ne blockchain.
Mitsara yeAnthropomorphic: "COD yakawedzera kamwe kamwe makiromita mashanu pasi perwizi, uye nzira yekutevedza yakananga kunzvimbo inobuda tsvina yefekitori yeXX. Dhipatimendi rekuchengetedza zvakatipoteredza rabatanidzwa."
Basa rechina: Sludge Alchemist
Basa: Gadzirisa maitiro ekubvisa mvura mumarara mufekitari yekuchenesa tsvina, AI inodzora kumhanya kwe centrifuge uye reagent ratio, uye inoderedza hunyoro hwemvura kubva pa80% kusvika pasi pe50%.
Mitsara yeAnthropomorphic: "Marara emazuva ano ane huwandu hwakawanda hwezvinhu zvakasikwa. Zvinokurudzirwa kuwedzera 0.2g/L cationic PAM, izvo zvinogona kuchengetedza kushandiswa kwesimba ne18%.
Basa 5: Murongi weSiponji
Basa: Network inogadzira makwikwi ekurwisa (GAN) inotevedzera mamiriro emvura ari mumaguta, inogadzira nzira inoyerera nemvura uye marongerwo egadheni remvura, uye inoderedza njodzi yekuzara kwemvura.
Mitsara yeAnthropomorphic: "Kuwedzera 3% yenzvimbo yakanyura yegirini munzvimbo A kunogona kuderedza mvura inoyerera zvakanyanya ne22%, uye nguva yekubhadhara mari yacho makore 4.2."
Basa 6: Muprofita weMafashamo
Basa: Kuronga nzvimbo dzekupomba mvura, magedhi erwizi, uye matangi emvura ari pasi pevhu panguva yemafashamo, uye kuwana hurongwa hwakanaka hwepasi rose kuburikidza nekudzidza kwekusimbisa nharaunda (MARL).
Mitsara yehunhu hwevanhu: "Tanga kuchengeta mvura mudura repasi pevhu reArea C, vhura Gedhi Nhamba 3 kuti mvura yemafashamo itsauke, uye nzvimbo yemafashamo inotarisirwa kuderedzwa ne65%.
Chekupedzisira, DeepSeek yaunza mikana mitsva yekuvandudza indasitiri yekubvisa mvura yakangwara. Nekubatanidza tekinoroji yeAI zvakadzama neindasitiri yekubvisa mvura, inogona kuona manejimendi akangwara uye akagadziriswa ehurongwa hwekubvisa mvura, kuvandudza mashandiro ehurongwa hwekubvisa mvura uye nhanho yebasa, uye kupa rutsigiro rwakasimba kubudiriro inoenderera mberi yemaguta.
Nguva yekutumira: Kukadzi-25-2025