Waya:
Imel:
Kwanan nan, kamfaninmu ya tsara kuma ya ƙera sabbinƙarƙashin motar da aka tsara ta triangle, musamman don amfani a cikin robot masu kashe gobara. Wannan motar ƙarƙashin layin dogo mai siffar triangle tana da fa'idodi masu mahimmanci wajen ƙirar robot masu kashe gobara, galibi ana nuna ta a cikin waɗannan fannoni:
1. Ƙarfin Ketare Babban Cigaba
**Fa'idar Geometric: Tsarin mai kusurwa uku, wanda aka tallafa shi da wuraren hulɗa guda uku, zai iya ratsa matakala, tarkace, ko ramuka cikin sauƙi. Ƙarshen gaba mai kaifi zai iya ratsawa ƙarƙashin cikas, ta amfani da ƙa'idar lever don ɗaga jiki.
**Cibiyar Daidaita Nauyi: Tsarin mai kusurwa uku yana bawa robot damar daidaita tsakiyar rarraba nauyi (misali, ɗaga gaba lokacin hawa gangara da amfani da hanyoyin baya don turawa), yana haɓaka ikonsa na hawa tsaunuka masu tsayi (kamar waɗanda suka wuce 30°).
**Labari: A gwaje-gwajen kwaikwayo, ingancin robot ɗin da ke ƙarƙashin abin hawa mai siffar triangle a hawa matakala ya fi na robot ɗin da aka yi wa alama mai siffar murabba'i da kusan kashi 40% sama da na robot ɗin da aka yi wa alama mai siffar murabba'i.
2. Ingantaccen Daidaita Yanayin Ƙasa
**Matsakaicin Wucewa a Ƙasa: Layukan da ke da siffofi uku suna rarraba matsin lamba daidai gwargwado a kan ƙasa mai laushi (kamar tarkacen da suka ruguje), kuma faɗin tsarin layin yana rage yuwuwar nutsewa (za a iya rage matsin lamba a ƙasa da kashi 15-30%).
**Motsi Mai Wuya a Sarari: Tsarin siffar murabba'i mai ƙanƙanta yana rage tsawon tsayin tsayi. Misali, a cikin hanyar da ke faɗin mita 1.2, robots na gargajiya da aka bi diddiginsu suna buƙatar daidaita alkiblarsu sau da yawa, yayin da ƙirar murabba'i mai siffar murabba'i na iya motsawa a gefe a cikin yanayin "tafiya a kan kaguwa".
3. Kwanciyar Hankali da Juriyar Tasiri
**Inganta Inji: Alwatika tsari ne mai dorewa ta halitta. Idan aka fuskanci tasirin gefe (kamar rushewar gini na biyu), damuwa tana bazuwa ta cikin tsarin truss na firam. Gwaje-gwaje sun nuna cewa taurin juyawa ya fi na firam mai kusurwa huɗu sama da 50%.
**Tsawon dawwama: Yanayin hulɗa mai layuka uku koyaushe yana tabbatar da cewa aƙalla wuraren hulɗa guda biyu suna ƙasa, wanda ke rage haɗarin juyawa yayin ketare shinge (gwaji sun nuna cewa kusurwar da ke da mahimmanci don juyawa gefe tana ƙaruwa zuwa 45°).
4. Sauƙin Kulawa da Aminci
**Tsarin Modular: Ana iya wargaza hanyoyin kowace gefe daban-daban sannan a maye gurbinsu. Misali, idan hanyoyin gaba sun lalace, ana iya maye gurbinsu a wurin cikin mintuna 15 (wayoyin gargajiya da aka haɗa suna buƙatar gyara masana'anta).
**Zane Mai Sauri: Tsarin tuƙi mai motoci biyu yana ba da damar motsi na yau da kullun koda kuwa gefe ɗaya ya gaza, yana biyan buƙatun aminci na yanayin wuta.
5. Inganta Yanayi na Musamman
**Ƙarfin Shiga Wuta: Ƙarshen gaban mai siffar konkoli na iya karya shingen haske (kamar ƙofofin katako da bangon allon gypsum), kuma tare da kayan da ke jure zafi mai yawa (kamar rufin yumbu na aluminosilicate), yana iya aiki akai-akai a cikin yanayin zafi na 800°C.
**Haɗakar Tushen Wuta: Za a iya sanya wa dandamalin saman triangle tsarin juyawa don tura bututun wuta ta atomatik (mafi girman kaya: mita 200 na bututun diamita 65mm).
**Bayanan Gwajin Kwatanta
| Mai nuna alama | Ƙarƙashin Motar Wayar Alwatika | Ƙarƙashin hanyar gargajiya mai kusurwa huɗu |
| Matsakaicin Tsayin Hawan Hawa | 450mm | 300mm |
| Gudun Hawan Matakala | 0.8m/s | 0.5m/s |
| Kusurwar Kwanciyar Hankali ta Naɗi | 48° | 35° |
| Juriya a Yashi | 220N | 350N |
6. Faɗaɗa Yanayin Aikace-aikace
**Haɗin gwiwa tsakanin na'urori da yawa: Robot masu kusurwa uku na iya samar da layi mai kama da sarka kuma su ja junansu ta hanyar ƙugiyoyin lantarki don ƙirƙirar tsarin gada na ɗan lokaci wanda ke rufe manyan cikas.
**Sauye-sauye na Musamman: Wasu ƙira sun haɗa da sandunan gefe masu faɗaɗa waɗanda za su iya canzawa zuwa yanayin hexagonal don daidaitawa da ƙasa mai dausayi, suna ƙara yankin taɓa ƙasa da kashi 70% idan aka tura su.
Wannan ƙira ta cika dukkan buƙatun robot masu kashe gobara, kamar ƙarfin ketare shinge, babban aminci, da kuma daidaitawa a wurare da yawa. A nan gaba, ta hanyar haɗa algorithms na tsara hanyoyin AI, za a iya ƙara inganta ƙarfin aiki mai zaman kansa a cikin wuraren wuta masu rikitarwa.