Drone "swarm" inoreva kubatanidzwa kweakaderera-mutengo madiki ma drones ane akawanda mishoni mibhadharo yakavakirwa payakavhurika sisitimu yekuvaka, iyo ine zvakanakira anti-kuparadza, mutengo wakaderera, kuendesa matunhu uye nehungwaru kurwisa maitiro.
Nekukurumidza kuvandudzwa kweiyo drone tekinoroji, kutaurirana uye network tekinoroji, uye kuwedzera kuri kuda kwekushandisa drone munyika dzakatenderedza pasirese, akawanda-drone yekudyidzana networking application uye drone self-networking dzave itsva hotspots.
Mamiriro azvino eChina Drone Swarms
Parizvino, China inogona kuona kusanganiswa kwemotokari dzakawanda dzekutanga kuburitsa mazana maviri emadhora panguva imwe chete kuti vagadzire dhizaini, izvo zvinosimudzira kukurumidza kuumbwa kwehunyanzvi hwekurwisa husina kurongeka hweChina hwakadai sekubatana kwekubatana, kuumbwa chaiko, shanduko yekuumbwa, uye. precision strike.
Muna Chivabvu 2022, timu yekutsvagisa kubva kuYunivhesiti yeZhejiang kuChina yakagadzira tekinoroji yakangwara ine drone swarm tekinoroji, iyo inobvumira drone swarms kufamba zvakasununguka pakati pemasango akakura uye akasvibirira bamboo. Panguva imwecheteyo, drone swarms inogona kuramba ichitarisa uye kuongorora nharaunda, uye yakazvimirira kudzora kuumbwa kudzivirira zvipingamupinyi uye kudzivirira kukuvara.
Iyi tekinoroji yakabudirira kugadzirisa akatevedzana ematambudziko akaoma akadai sekufamba kwega, kuronga track, uye nehungwaru kudzivirira zvipingamupinyi zveUAV mapush munzvimbo dzinonyengera uye dzinoshanduka. Inogona kushandiswa mumoto, mugwenga, mawere uye dzimwe nzvimbo dzakaomera vanhu kusvika kuti vapedze misheni yekutsvaga nekununura.
Ko China Swarming Drones Inotaurirana Sei Neumwe neumwe?
Iyo isina kurongeka yemotokari yemuchadenga network, inozivikanwawo setiweki yeUAVs kana iyounmanned aeronautical ad hoc network(UAANET), yakavakirwa pane pfungwa yekuti kutaurirana pakati peakawanda drones hakuvimbi zvachose pane zvakakosha zvekutaurirana zviteshi sezviteshi zvepasi kana satellite.
Pane kudaro, ma drones anoshandiswa setiweki node. Imwe neimwe node inogona kutumira kuraira uye kutonga mirairo kune mumwe nemumwe, kuchinjanisa data senge mamiriro ekuona, hutano mamiriro uye hungwaru kuunganidza, uye otomatiki batanidza kuti umise isina waya nharembozha.
UAV ad hoc network imhando yakakosha yewireless ad hoc network. Haisi chete ine hunhu hwemasikirwo e-multi-hop, yekuzvironga, uye isina nzvimbo, asiwo ine yayo chaiyo. Iwo makuru maficha anounzwa seanotevera:
(1) Kumhanya-mhanya kwemanodhi uye shanduko ine simba zvakanyanya mutology topology
Uyu ndiwo musiyano wakanyanya kukosha pakati peUAV ad hoc network uye echinyakare ad hoc network. Kumhanya kwemaUAV kuri pakati pe30 ne460 km/h. Iyi yekumhanya-yekumhanya inokonzeresa shanduko ine simba mutopology, nekudaro ichikanganisa network yekubatanidza uye mapuroteni. Kukanganisa kwakakomba pakuita.
Panguva imwecheteyo, kukundikana kwekutaurirana kweUAV platform uye kusagadzikana kwemutsara-we-sight communication link kuchaitawo kukanganisa kwekubatanidza uye topology update.
(2) Sparseness yemanodhi uye heterogeneity yetiweki
Node dzeUAV dzakapararira mumhepo, uye chinhambwe chiri pakati pemanodhi chinowanzo makiromita akati wandei. Iyo node density mune imwe airspace yakaderera, saka network yekubatanidza inyaya yakakosha.
Mumashandisirwo anoshanda, maUAV anodawo kutaurirana nemapuratifomu akasiyana sezviteshi zvepasi, masatellite, ndege dzine vanhu, uye pedyo nenzvimbo dzemuchadenga. Iyo yekuzvironga yetiweki chimiro inogona kusanganisira akasiyana marudzi emadrones kana kutora hierarchical yakagoverwa chimiro. Muzviitiko izvi, nodes dzine heterogeneous uye network yese inogona kunge yakabatana zvakasiyana.
(3) Yakasimba node kugona uye network yenguva
Iyo yekutaurirana uye komputa zvishandiso zvemanodhi zvinopihwa nzvimbo uye simba nemadrones. Kuenzaniswa neyechinyakare MANET, drone yekuzvironga network kazhinji haidi kufunga node mashandisiro esimba uye nyaya dzemagetsi emakomputa.
Iko kushandiswa kweGPS kunogona kupa node ine chaiyo chinzvimbo uye ruzivo rwenguva, zvichiita kuti zvive nyore kumanodhi kuwana ruzivo rwenzvimbo yavo uye kuwiriranisa wachi.
Iyo nzira yekuronga basa yeonboard komputa inogona kubatsira zvinobudirira kuita sarudzo. Mazhinji ma drone application anoitirwa chaiwo mabasa, uye mashandiro enguva dzose haana kusimba. Mune imwe nzvimbo yemhepo, pane mamiriro ezvinhu apo node density yakaderera uye kusava nechokwadi kwendege yakakura. Nokudaro, network ine simba renguva pfupi.
(4) Kusiyana kwezvinangwa zvetiweki
Chinangwa chetsika dzeAd Hoc network ndeyekutanga peer-to-peer kubatana, nepo drone inozvironga network inodawo kumisa peer-to-peer kubatana kweiyo kurongeka basa rema drones.
Chechipiri, mamwe ma node munetiweki anodawo kushanda sepakati node dzekuunganidza data, zvakafanana nebasa rewireless sensor network. Naizvozvo, zvinodikanwa kutsigira traffic aggregation.
Chechitatu, iyo network inogona kusanganisira akawanda marudzi emasensa, uye akasiyana nzira dzekuburitsa data kune dzakasiyana ma sensor dzinoda kuvimbiswa zvinobudirira.
Chekupedzisira, data rebhizinesi rinosanganisira mifananidzo, odhiyo, vhidhiyo, nezvimwe, izvo zvine hunhu hwehukuru hwekutapurirana data vhoriyamu, akasiyana data chimiro, uye yakanyanya kunonoka senitivity, uye QoS inoenderana inoda kuve nechokwadi.
(5) Hunhu hwemhando yekufamba
Iyo mobility modhi ine kukosha kwakakosha pane routing protocol uye mafambiro manejimendi eAd Hoc network. Kusiyana nemafambiro asina kurongeka eMANET uye mafambiro eVANET akaganhurirwa kumigwagwa, drone node dzinewo dzawo dzakasiyana mafambiro.
Mune mamwe ma-multi-drone application, kuronga nzira yepasirese kunofarirwa. Muchiitiko ichi, kufamba kwedrones kunogara kuchiitika. Nekudaro, nzira yekubhururuka yeautomated drones haina kufanotemerwa, uye chirongwa chekubhururuka chinogonawo kuchinja panguva yekushanda.
Mhando mbiri dzekufambisa dzeUAV dzinoita mishoni dzekucherekedza:
Yekutanga inhengo isina kurongeka yekufamba modhi, iyo inoita probabilistic yakazvimiririra yakasarudzika mafambiro kuruboshwe, kurudyi uye yakatwasuka nzira zvinoenderana neyakafanotemerwa Markov maitiro.
Yechipiri ndiyo yakagoverwa pheromone repel mobility model (DPR), iyo inotungamirira kufamba kwedrones maererano nehuwandu hwepheromones inogadzirwa panguva yeUAV reconnaissance process uye ine yakavimbika yekutsvaga maitiro.
IWAVEUANET redhiyo module, diki saizi (5 * 6cm) uye huremu huremu (26g) kuve nechokwadi che10km kutaurirana pakati peIP MESH node uye pasi rekudzora chiteshi. Multiple FD-61MN uav ad hoc network OEM module kuvaka yakakura yekutaurirana network inovakwa kuburikidza neiyo drone swarm, uye ma drones akabatana kune mumwe nemumwe kuti apedze mabasa akapihwa mune imwe dhizaini zvinoenderana neiyo pa-saiti mamiriro panguva yekumhanya kukuru inofamba. .
Nguva yekutumira: Jun-12-2024