Autonomous systems ibazi re ungwaru hwekugadzira iyo yakasangana nekukura mumakore achangopfuura. Aya masisitimu, anozivikanwawo seanozvimiririra, anokwanisa kuita sarudzo uye kuita zviito akazvimirira, pasina kupindira kwevanhu. Chinangwa chayo chikuru kutevedzera hunhu hwevanhu kana kutochipfuura, kuburikidza nekubatanidzwa kwealgorithms, michina uye nyanzvi software. Muchinyorwa chino tichaongorora kuti ndeapi masisitimu ekuzvitonga anosanganisirwa uye kuti ari kushandura sei zvikamu zvakasiyana zvenharaunda yedu.
1. Nhanganyaya kune Autonomous Systems: Tsanangudzo uye pfungwa huru
Pfungwa yakakosha muAutonomous Systems intelligence yekugadzira, sezvo kuri kuburikidza nechirango ichi kuti zvinokwanisika kupa masisitimu ane kugona kwekudzidza nekugadzirisa. Artificial intelligence inovabvumira kuita sarudzo zvichienderana nedata uye zvakaitika kare, vachivandudza mashandiro avo sezvavanowana ruzivo. Izvi zvinoita kuti Autonomous Systems ikwanise kuita mabasa akaomarara. zvinobudirira uye zvakanyatsonaka.
Muchidimbu, Autonomous Systems ndeavo vane kugona kushanda vakazvimiririra, vachizviitira sarudzo. Izvi zvinogoneka nekuda kwehungwaru hwekugadzira, hunovapa kugona kudzidza uye kugadzirisa. Aya masisitimu ari kuwedzera kushandiswa munzvimbo dzakasiyana siyana senge marobhoti, indasitiri yemotokari, mushonga uye dzimwe nzvimbo dzakawanda uko kuzvitonga uye nemazvo zvinodiwa.
2. Nhoroondo pfupi yeAutonomous Systems uye kushanduka kwavo
Autonomous Systems (AS) masangano anotora chikamu mukufambiswa kwemapaketi edata paInternet. Vakasimuka semugumisiro wekuda kwekugadza sangano re hierarchical mukugoverwa kwe IP kero uye traffic routing. Pakutanga, imwe nzira inonzi Homogeneous Autonomous Systems (HAG) yakashandiswa. Nekudaro, chivakwa ichi chaive nemiganhu maererano ne scalability uye kuchinjika.
Kwemakore, Autonomous Systems yakave nekushanduka kukuru. Mumakore ekuma1990, iyo pfungwa yeMulti-Sliver Autonomous Systems (MAS) yakaunzwa, ichibvumira manejimendi ari nani ematiweki madiki. Izvi zvakabvumira hukuru hwekufambisa uye kuita kuti IP kero manejimendi zvive nyore.
Iko kushanduka kwakaenderera mberi nekushandiswa kweiyo inonzi Multi-Domain Autonomous Systems (MAD), iyo inobvumira masangano akasiyana-siyana kuti aunganidzwe pasi pechinhu chimwe chete chekutonga. Izvi zvinorerutsa manejimendi uye nzira pakati pemanetiweki, nekudaro zvichivandudza mashandiro ehurongwa hwese. Pamusoro pezvo, maturusi akasiyana siyana uye mapuroteni akagadzirwa kuti afambise kushanda uye kutariswa kweAutonomous Systems, senge Border Gateway Protocol (BGP) uye Domain Name System (DNS).
3. Zvikamu zvakakosha zveAutonomous Systems
Autonomous Systems inoumbwa nezvinhu zvakakosha zvakasiyana izvo zvinovatendera kuti vashande vakazvimiririra. Izvo zvakakosha zvinoumba masisitimu aya zvinotsanangurwa pazasi:
- Sensors: Sensors zvishandiso zvine basa rekuunganidza ruzivo nezve nharaunda umo kuzvitonga kunowanikwa masisitimu. Izvi zvinogona kuva zvemhando dzakasiyana, dzakadai semakamera, radars, ultrasound sensors kana laser sensors. Ruzivo rwunounganidzwa nemasensa rwunogadziriswa nehurongwa kuita sarudzo zvichienderana nemamiriro ekunze.
- Actuators: Actuators vane basa rekuita zviito zvinodiwa kuti autonomous system ibatane nenharaunda yayo. Izvi zvinogona kuva mota, servo motors, grippers kana chero mudziyo izvo zvinokutendera kuti uite mafambiro kana kuita mamwe mabasa. Iwo ma actuator anogashira mirairo kubva kune system uye anozviita akazvimirira.
- Kugadziridza yuniti: Iyo yekugadziridza unit ndicho chinhu chikuru cheiyo autonomous system, ine mutoro wekugamuchira ruzivo kubva kune sensors, kuigadzirisa uye kutumira mirairo inoenderana kune iyo actuators. Ichi chikamu chinogona kunge chiri microcontroller, komputa kana chero system inokwanisa kuita algorithms kana zvirongwa zvinobvumira sisitimu kuita sarudzo.
Izvi zvikamu zvitatu zvinoshanda pamwe chete kuti zvibvumire hurongwa hwekuzvimirira hushande hwakazvimiririra munzvimbo yayo. Sensors inounganidza ruzivo kubva kunharaunda, iyo yekugadziridza unit inoibata uye inoita sarudzo, uye actuators vanoita izvo sarudzo. Kudyidzana uku kunobvumira sisitimu kuti igadzirise uye iite yakazvimirira kune shanduko nharaunda, ichigonesa kushanda kwayo.
4. Izvo zvakasiyana-siyana zvekuzvimiririra mu Autonomous Systems
Autonomous systems dzakagadzirirwa kushanda dzakazvimirira uye kuita mabasa pasina kupindira kwevanhu. Zvakadaro, kune mazinga akasiyana ekuzvimiririra anotarisisa kugona uye chiyero chekuzvimirira kweaya masisitimu.
Chekutanga ndiyo yekupinda-level autonomous systems. Aya masisitimu anokwanisa kuita mabasa akafanotsanangurwa uye kutevera mirairo chaiyo pasina kupindira kwevanhu. Iwo anoshandiswa mumashandisirwo ari nyore sekuchenesa marobhoti anogona kutsvaira mukamuri pasina kuda mumwe munhu anoashandisa.
Chikamu chinotevera chekuzvitonga ndechepakati. Padanho iri, masisitimu akazvimirira anokwanisa kuongorora nharaunda yavo uye kuita sarudzo zvichienderana nedata uye ruzivo rwakaunganidzwa. Vanogona kuenderana nekuchinja kwemamiriro ezvinhu uye kutevera mamwe mirairo yakaoma. Muenzaniso weiyi nhanho yekuzvimiririra imotokari dzinozvimiririra dzinogona kutyaira dzakazvimirira, dzichitora mamiriro emumigwagwa uye kudzivirira zvipingamupinyi.
Pakupedzisira, iyo yepamusoro-soro yekuzvimiririra ndiyo yepamusoro-soro. Autonomous masisitimu padanho iri vanokwanisa kudzidza nekuvandudza mashandiro avo kuburikidza nehungwaru hwekugadzira uye muchina kudzidza algorithms. Vanogona kuita zvisarudzo zvakaoma pasina kupindira kwevanhu uye kugadzirisa kumamiriro ezvinhu asingatarisirwi. Aya masisitimu anoshandiswa mumashandisirwo akadai vabatsiri vepaindaneti uye ma chatbots anogona kunzwisisa zvine hungwaru uye kupindura mibvunzo.
Muchidimbu, anotangira kubva kumabasa akafanotsanangurwa uye nekutevera mirairo yekutanga kusvika pakukwanisa kudzidza uye kujairana nekuchinja mamiriro. Aya mazinga anotsanangura kuzvimiririra uye kugona kweaya masisitimu, achibatsira mukusimudzira uye kukura kwehungwaru hwekugadzira uye otomatiki.
5. Zvikumbiro uye mienzaniso inoshanda yeAutonomous Systems
Kuvandudzwa kweautonomous system kwakavhura nyika yemikana munzvimbo dzakasiyana dzekushandisa. Muchikamu chino, tichaongorora zvimwe zvinonyanya kushandiswa uye mienzaniso inoshanda yemashandisirwo arikuzvimirira masisitimu. parizvino.
Imwe yeanonyanya kushandiswa kushandiswa kweautonomous system iri mumunda werobhoti. Aya masisitimu anogona kurongwa kuti aite chaiwo mabasa pasina kupindira kwevanhu, achiaita akanakira maindasitiri ekushandisa senge otomatiki ekugadzira maitiro. Semuenzaniso, ruoko rwakazvimiririra robhoti runogona kurongwa kuti riunganidze zvigadzirwa pamutsetse wekugadzira, kuwedzera kushanda nesimba uye kuderedza kukanganisa kwevanhu.
Uyezve, masystem ekuzvimiririra aripowo mumunda wekutyaira wega. Mota dzinozvimiririra dzinoshandisa akawanda ma sensors uye advanced algorithms kududzira nharaunda uye kuita sarudzo munguva chaiyo. Iyi tekinoroji inovimbisa kusandura indasitiri yezvekufambisa nekuvandudza kuchengetedzwa kwemigwagwa uye kubvumidza kuyerera kwakanyanya. Mienzaniso inoshanda yemotokari dzinozvimiririra inosanganisira mota dzaTesla dzinozvityaira uye marori anotakura zvinhu asingatyairi kubva kumakambani anotakura zvinhu.
Mumwe muenzaniso wekushandiswa kwemasisitimu ekuzvimirira unowanikwa mukuongorora muchadenga. Motokari dzemuchadenga dzakaita seNASA rovers, dzinotumirwa kune mamwe mapuraneti kunotora data nemifananidzo. Masisitimu aya anofanira kukwanisa kufamba uye kuita mabasa akazvimirira nekuda kwechinhambwe chikuru chinoaparadzanisa neNyika. Aya mamishini anomiririra dambudziko rakakura rehunyanzvi uye rinotsamira zvakanyanya pakukwanisa kuzvitonga masisitimu kujairana nenzvimbo isingazivikanwe uye kuita sarudzo zvichienderana nekwavanogara uye zvinangwa.
Sezvatinoona, masisitimu ekuzvimiririra ane mhedzisiro yakakura pane dzakasiyana siyana dzekushandisa. Kubva kumaindasitiri otomatiki kuenda kune kuzvitonga kutyaira uye kuongorora nzvimbo, masisitimu aya ari kushandura mabatiro atinoita nenyika yakatitenderedza. Sezvo tekinoroji ichifambira mberi, isu tinogona kuona mimwe mienzaniso inoshanda yeanozvimiririra masisitimu uye kugona kwavo kuvandudza hupenyu hwedu.
6. Matambudziko uye kufunga kwehutsika mukuvandudzwa kweAutonomous Systems
Kuvandudzwa kwehurongwa hwekuzvimirira kunomutsa akati wandei matambudziko uye hunhu hunofanirwa kutariswa nemazvo. Aya matambudziko ane chekuita neakasiyana maficha, senge otomatiki kuita sarudzo, kuvanzika, chengetedzo uye mutoro wezviito zvinoitwa neaya masisitimu.
Imwe yematambudziko makuru ehunhu mukuvandudza masisitimu anozvitonga ari mukuita sarudzo otomatiki. Aya masisitimu anofanirwa kunge achikwanisa kuita sarudzo akazvimirira, izvo zvinoreva kuti anofanirwa kurongeka kuti atevedze akatevedzana emitemo uye algorithms. Zvisinei, kuita sarudzo otomatiki kunomutsa mibvunzo yetsika, sezvo panogona kunge paine mamiriro ezvinhu apo panofanirwa kusarudza pakati pezvisarudzo zvakasiyana, zvese zvine zvazvinoreva.
Chimwe chinhu chakakosha kuchengetedza data kuvanzika. Autonomous masisitimu anowanzo kuunganidza uye kugadzirisa huwandu hukuru hweruzivo nezve vanhu uye nharaunda yavo. Izvo zvakakosha kuve nechokwadi chekuti ruzivo urwu runoshandiswa zvine mwero uye nekuremekedza kuvanzika kwevanhu. Uyezve, kuchengetedzwa kwezvirongwa izvi zvakare dambudziko guru, sezvo chero kukanganisa mukushanda kwavo kunogona kuva nemigumisiro yakakomba.
7. Mabhenefiti uye zvakanakira kushandiswa kweAutonomous Systems
Kuitwa kweAutonomous Systems muzvikamu zvakasiyana uye maitiro kwakaratidza nhevedzano yemabhenefiti uye mabhenefiti. Chekutanga, otomatiki anodzokororwa uye anotyisa mabasa anobvumira makambani kuti awedzere kugadzirwa kwavo uye kugona nekusunungura vashandi kubva kumabasa enguva dzose uye kuvabvumira kuti vatarise kune mamwe mazano uye ekugadzira zviitiko. Pamusoro pezvo, Autonomous Systems inokwanisa kushanda 24/7, ichipa kuenderera kwakanyanya mumatanho uye kuderedza nguva.
Imwe bhenefiti yakakosha kuderedzwa kwekukanganisa kwevanhu. Nekubvisa kupindira kwevanhu mumabasa akakosha, Autonomous Systems inoderedza mukana wekukanganisa kwevanhu, izvo zvinozovandudza kurongeka uye kunaka kwemhedzisiro. Saizvozvowo, kushandiswa kwezvirongwa izvi kunoderedza mari yekushanda kwenguva refu, nekuderedza mari ine chokuita nekutsvaga, kudzidziswa uye kuchengetwa kwevashandi, pamwe chete nebasa rinodiwa kuita mamwe mabasa.
Kushanda kwesimba chimwe chinhu chakakurumbira cheAutonomous Systems. Nekuda kwekugona kwayo kukwidziridza mashandisirwo emagetsi uye kugadzirisa nguva chaiyo, zvirongwa izvi zvinokwanisa kuderedza kushandiswa kwesimba uye, naizvozvo, mari inobatanidza nemagetsi. Chekupedzisira, zvinofanirwa kucherechedzwa kuti Autonomous Systems zvakare inokwanisa kuvandudza kuchengetedzwa mumaindasitiri uye maitiro ekushanda, nekudzikisa njodzi yetsaona inokonzerwa nekukanganisa kwevanhu uye nekuva nekuona uye kugadzirisa nzira kana paine njodzi inogona kuitika kana njodzi.
8. Kuongororwa kwengozi uye zvinogona kukanganisa zve Autonomous Systems
Kuti unzwisise njodzi uye zvinogona kukanganisa zveAutonomous Systems, zvakakosha kufunga zvakasiyana siyana. Imwe yeiyi huru yekufunga nezve mukana wekutadza kana kukanganisa muhurongwa hwehurongwa. Izvi zvinogona kuve nekuda kwezvikonzero zvakasiyana, sekushaikwa kweiyo chaiyo mumirayiridzo kana kuvapo kwebugs musoftware.
Imwe njodzi yakakosha ndeyekushaikwa kwekugona kweanozvimiririra masisitimu kujairana nemamiriro asingatarisirwe. Aya masisitimu anowanzo gadzirwa kuti ashande munzvimbo inodzorwa uye inofanotaurwa, saka anogona kuunza matambudziko kana atarisana nemamiriro matsva kana asingatarisirwe. Izvi zvinogona kuita kuti sisitimu iite sarudzo dzisina kunaka kana dzisina kuchengeteka.
Zvakare, zvakakosha kuti titarise nezvehutsika uye zvemutemo chikamu chekushandisa kuzvimiririra masisitimu. Aya masisitimu anogona kuve nechekuita mumamiriro ezvinhu anodiwa sarudzo dzakakomba, senge mumunda wemishonga kana mukutyaira mota dzinozvimiririra. Izvo zvakakosha kuve nechokwadi chekuti sarudzo idzi dzinoitwa zvakaringana, zvine hungwaru uye zvinoenderana neakatemerwa hunhu uye mwero.
9. Impact yeAutonomous Systems muindasitiri uye nzanga
Ari kuramba achibuda pachena. Masisitimu aya, anokwanisa kuita mabasa akazvimirira pasina kupindira kwevanhu, ari kushandura maitirwo anoitwa mabasa akawanda muzvikamu zvakasiyana.
Muindasitiri, Autonomous Systems yakashandura maitiro ekugadzira nekugadzira. Kutenda nekugona kwayo kushanda zvinobudirira uye chaizvo, yave kuwanikwa wedzera kubereka uye kuderedza mari muzvikamu zvakasiyana, zvakadai semotokari, zvemagetsi uye zvinhu. Pamusoro pezvo, masisitimu aya akaita kuti zvikwanisike kuita mabasa aimbove nengozi zvakanyanya kana kuomera vanhu, nekudaro kunatsiridza kuchengetedzwa kwenzvimbo yebasa.
Munzanga, Autonomous Systems zvakare iri kugadzira hukuru hukuru. Mundima yehutano, semuenzaniso, marobhoti anozvimiririra ari kushandiswa mukuvhiya kwepamusoro-soro, izvo zvakonzera kudzikira kwezvikanganiso zvekurapa uye kuvandudzwa kwenguva dzekupora kwemurwere. Zvimwechetezvo, muchikamu chezvekurima, hurongwa hwekuzvimirira huri kuitwa yekudyara, kudiridza uye kukohwa zvirimwa, izvo zvakawedzera kushanda zvakanaka uye kugadzirwa kwezvokudya. Kufambira mberi uku kwakaratidza maitiro eAutonomous Systems ari kukanganisa hupenyu hwevanhu uye kusimudzira nzanga zvachose.
10. Minda mikuru yekudzidza ine chekuita neAutonomous Systems
Autonomous masisitimu ibazi rezvidzidzo rakasiyana-siyana rinofukidza nzvimbo dzakasiyana dzekutsvagisa. Pazasi pane:
- Uchenjeri hwekugadzira (AI): Iyi ndima yakakosha pakuvandudzwa kweautonomous system. AI ine basa rekupa masisitimu ane kugona kufunga, kudzidza uye kuita sarudzo akazvimirira.
- Marobhoti: Robotics imwe nzvimbo yakakosha mukudzidza kweautonomous system. Inotarisa pakugadzira, kuvaka uye hurongwa hwemarobhoti anokwanisa kushanda akazvimirira munzvimbo dzakasiyana uye kuita mamwe mabasa.
- Kuona kwekombiyuta: Iyi nharaunda inotarisa mukugadzira maalgorithms uye matekiniki kuitira kuti anozvimiririra masisitimu anogona kududzira uye kunzwisisa nharaunda kuburikidza nemakamera uye mamwe ma sensors ekuona. Izvi zvinovabvumira kuita sarudzo zvichienderana neruzivo rwekuona rwakaunganidzwa.
Pamusoro peminda yataurwa pamusoro, dzimwe nzvimbo dzekufunda dzine chekuita nekuzvimiririra masisitimu dzinosanganisira mainjiniya ekudzora, iyo ine basa rekugadzira control algorithms kuitira kuti autonomous system ishande nemazvo. nzira inoshanda uye zvakachengeteka, uye zvemakombiyuta, iyo inotarisa kupindirana pakati pezvirongwa zvekuzvidzivirira uye nharaunda yavanoshanda mairi.
Muchidimbu, masisitimu ekuzvimiririra ndiyo nyaya yekudzidza munzvimbo dzakasiyana siyana, senge hungwaru hwekugadzira, marobhoti, kuona komputa, control engineering, uye cybernetics. Kufambira mberi mundima idzi kunobvumira kuvandudzwa kwezvimiro zvehutongi uye zvakasiyana-siyana zvekuzvimiririra.
11. Maonero emangwana uye mafambiro mukuvandudzwa kweAutonomous Systems
Maonero eramangwana mukuvandudzwa kweAutonomous Systems anotarisa pakuvandudza nguva dzose mukuita uye nemazvo emashini anozvimirira. Kufambira mberi kwetekinoroji muhungwaru hwekugadzira uye kudzidza kwemichina kuri kuita basa rakakosha mukushanduka kweaya masisitimu. Mune ramangwana, Autonomous Systems inotarisirwa kukwanisa kuita mabasa ari kuwedzera kuoma uye kujairana nemamiriro esimba zvakanyanya.
Imwe yemafambiro ari kubuda mukuvandudza kweAutonomous Systems kubatanidzwa kwemarobhoti uye otomatiki muzvikamu zvakasiyana zvevanhu. Semuenzaniso, muindasitiri yekugadzira, marobhoti anozvimiririra uye otomatiki masisitimu anotarisirwa kuita basa rinowedzera kukosha mukugadzirisa maitiro ekugadzira. Pamusoro pezvo, zvikumbiro zviri kuongororwa munzvimbo dzakaita sekurima, logistics, mushonga uye zvekufambisa, pakati pezvimwe.
Panyaya yekutsvagisa nekusimudzira, kuedza kuri kuitwa kuvandudza kudyidzana pakati peAutonomous Systems nevanhu. Izvi zvinosanganisira kugadzira mamwe anonzwisisika uye akachengeteka maficha anobvumira kutaurirana kunoshanda uye kutarisisa kwakakwana kwemichina inozvimiririra. Pamusoro pezvo, maitiro matsva ari kuongororwa kuti ave nechokwadi chetsika uye mutoro mukugadzira uye kusimudzira Autonomous Systems, tichitarisa zvinhu zvakaita sekuvanzika uye kuchengetedza data. Muchidimbu, tarisiro yeramangwana uye mafambiro ekuvandudzwa kweAutonomous Systems anonongedza kune zvakanyanya kushanda zvakanaka, kuchinjika uye kuchengetedzeka mune aya matekinoroji ari kukurumidza kushandura nzira yatinosangana nayo nenyika.
12. Kukosha kwemitemo nemirairo muAutonomous Systems
Izvo zvakakosha kuvimbisa kushanda kwayo chaiko uye kuderedza njodzi dzakabatana. Mitemo iyi inogadza nhungamiro uye zvinodiwa izvo masisitimu anofanirwa kusangana nawo, pamwe nemabasa uye zvisungo zvevagadziri, vashandisi nevashandisi.
Mutemo wakakwana unovimbisa kuchengetedzwa uye kuvimbika kweAutonomous Systems. Inomisa zviyero zvemhando izvo zvinofanirwa kuzadzikiswa, pamwe nekuyedza uye certification maitiro anofanirwa kuteverwa. Inotsanangurawo miganho uye zvirambidzo zvemasisitimu, kuve nechokwadi chekuita kwavo kwakaringana uye kudzivirira maitiro asingadiwe kana ane ngozi.
Pamusoro pezvo, iyo mirau muAutonomous Systems inosimudzira kujeka uye mutoro. Inogadza nzira dzekutonga uye dzekutarisa dzinofanirwa kuitwa, pamwe nekuongorora uye certification maitiro anofanirwa kuitwa. Izvi zvinoita kuti zvikwanise kuona uye kugadzirisa zvinogona kutadza kana kukanganisa mumasisitimu, uye inova nechokwadi chekuti sarudzo dzakaitwa nemasisitimu dzinonzwisisika uye dzinoruramiswa.
13. Basa reungwaru hwekugadzira muAutonomous Systems
Artificial intelligence inoita basa rakakosha muAutonomous Systems, ichibvumira michina iyi kuita sarudzo uye kuita zviito vakazvimirira. Pamusoro pezvo, hungwaru hwekugadzira hunovandudza kugona kweaya masisitimu kuti adzidze uye achinje paanenge achidyidzana nenharaunda yavo.
Chekutanga, hungwaru hwekugadzira muAutonomous Systems inobvumira kuita sarudzo zvichienderana nekuongororwa kwehuwandu hwedata. Uchishandisa muchina kudzidza algorithms, masisitimu aya anogona kuziva mapatani uye kuita sarudzo zvichienderana neruzivo irworwo. Izvi zvinonyanya kubatsira mumamiriro ezvinhu apo huwandu hwe data hwakakura kwazvo kuti hugadziriswe nemunhu.
Pamusoro pezvo, hungwaru hwekugadzira muAutonomous Systems hunogona kugonesa kusangana kwechisikigo nevashandisi. Kushandisa hunyanzvi hwekugadzirisa mutauro, masisitimu aya anogona kunzwisisa uye kupindura kumirairo nemibvunzo mumutauro wevanhu. Izvi zvinofambisa kutaurirana nekubatana pakati pevanhu uye kuzvitonga masisitimu, zvichiwedzera kushanda kwavo uye kubatsira mukushandisa kwakasiyana.
14. Mhedziso: Chii chatingatarisira kubva kune Autonomous Systems mune ramangwana?
Mukupedzisa, Autonomous Systems ine mukana wekushandura maindasitiri akasiyana munguva pfupi iri kutevera. Kugona kwavo kuita mabasa vakazvimiririra uye kujairana nekuchinja nharaunda kunoita kuti vave maturusi akakosha ekuita otomatiki. Nekuenderera mberi kwehunyanzvi hwekugadzira uye komputa kushanda kwepamusoro, tinogona kutarisira kuti Autonomous Systems ichave yakanyanya kuoma uye inoshanda mumakore anotevera.
Imwe yemabhenefiti makuru atingatarisira kubva kuAutonomous Systems mune ramangwana kuvandudzwa kwakakosha mukubudirira. Nekukwanisa kuita mabasa vakazvimirira, masisitimu aya anogona kusunungura vashandi kubva kumabasa anodzokororwa kana ane ngozi, achivabvumira kuti vatarise zviitiko zvepamusoro-soro. Izvi hazvizongowedzera kushanda kwemakambani, asiwo kuvandudza hupenyu hwevashandi.
Chimwe chinhu chakakosha kuratidza kugona kweAutonomous Systems mune zvehutano uye kutarisira utano. Nekuvandudzwa kwemarobhoti ekuvhiya uye otomatiki diagnostic masisitimu, tinogona kutarisira kufambira mberi kwakakosha mumunda wehutano. Aya masisitimu achakwanisa kuita maitiro ekuvhiya nekunyatso kurongeka, pamwe nekuongorora zvirwere nekukurumidza uye nemazvo. Izvi zvinogona kuguma nekuvandudzika kukuru mumigumisiro yehutano uye kuderedzwa kwemitengo inobatanidza nehutano hwehutano.
Mukupedzisa, kuzvitonga masisitimu inyanzvi uye inovimbisa tekinoroji iri kushandura maindasitiri mazhinji. Kugona kwavo kushanda vakazvimiririra uye kuita sarudzo munguva chaiyo inovaita maturusi akakosha ekugadzirisa maitiro, kuwedzera kushanda nesimba uye kuvandudza chibereko.
Aya masisitimu akavakirwa pane epamberi algorithms uye kushandiswa kwemasensor uye actuators izvo zvinovatendera kudyidzana nenzvimbo yavo. Kugona kwavo kudzidza muchina kunovapa kugona kugadzirisa nekuvandudza mashandiro avo pavanowana ruzivo.
Kunyangwe masisitimu ekuzvimiririra ane huwandu hwakasiyana hwekushandisa, kubva kuindasitiri yekugadzira kusvika pakutsvaga nzvimbo, kuita kwavo hakuna matambudziko. Chengetedzo, tsika uye mutoro zvinhu zvakakosha zvekufunga kana uchishandisa iyi tekinoroji.
Nekudaro, sezvo masisitimu ekuzvitonga ari kuramba achishanduka, kukanganisa kwavo munharaunda kunotarisirwa kuwedzera. Iwo otomatiki eanodzokorora uye ane njodzi mabasa, pamwe nekugona kwavo kugadzirisa matambudziko akaomarara, zvikonzero zvakakwana kuti uenderere mberi nekuongorora nekugadzira idzi mhinduro nyowani.
Muchidimbu, masisitimu akazvimirira anomiririra shanduko yetekinoroji ine mukana wekushandura hupenyu hwedu uye nzira yatinodyidzana nayo nenyika. Kugona kwavo kushanda vakazvimiririra, kudzidza kwemichina yavo, uye kugona kwavo kuchinjika kunoita kuti vave shamwari dzakakosha mukutsvaga kwekuita basa nekubudirira munzvimbo dzakasiyana siyana.
Ini ndiri Sebastián Vidal, injiniya wekombuta anofarira nezve tekinoroji uye DIY. Uyezve, ndini musiki we tecnobits.com, kwandinogovera zvidzidzo kuti tekinoroji iwanikwe uye inonzwisisika kumunhu wese.