2.1 Albarkatun Bil'adama
Ya ƙunshi yuwuwar al'umma da aka horar don shiga cikin aikin soja. Rayuwar ɗan adam ta kasance ƙima mara tauyewa a cikin yaƙi, kuma ƙwararrun ma'aikata suna da mahimmanci ga nasarar aiki.
1. Gabatarwa
Wannan aikin ya gabatar da cikakken bincike na na'urar auna nisa ta laser mai bugun jini (LRF) wacce aka ƙera don ayyukan soja, musamman an haɗa ta cikin tsarin sarrafa harbin tankin M-84. Binciken ya bincika abubuwan fasaha da ke tasiri yaƙin zamani, tare da mai da hankali kan haɓaka daidaiton manufa ta hanyar na'urori masu kyau na gani. An kimanta aikin LRF a ƙarƙashin yanayi daban-daban na aiki, ciki har da sauye-sauyen wutar lantarki, bambancin zafin jiki, da yanayin gani daban-daban na yanayi.
2. Abubuwan Yaƙi da Ci gaban Fasaha
Sakamakon rikici na yaƙi yana ƙaddara ta hanyar abubuwa da yawa masu dogaro da juna: Albarkatun Bil'adama, Albarkatun Kayan Aiki, Sarari, Lokaci, da Bayanai. Abubuwan fasaha, wani ɓangare na Albarkatun Kayan Aiki, suna taka muhimmiyar rawa a yaƙin zamani ta hanyar haɓaka tasirin makamai.
Mahimman Abubuwan Yaƙi
Bil'adama, Kayan Aiki, Sarari, Lokaci, Bayanai
2.2 Albarkatun Kayan Aiki
Ya haɗa da yuwuwar halitta, tattalin arziki, kuɗi, makamashi, da bayanai da aka tattara don bukatun soja. Tabbatar da waɗannan albarkatu yana da mahimmanci na dabarun don cimma manufa.
2.3 Sarari, Lokaci, da Bayanai
Sarari (ƙasa, teku, iska) da Lokaci (tsawon lokaci, yanayi) suna tasiri sosai ga yanayin yaƙi. Bayanai suna rage rashin tabbas a cikin yanke shawara na soja, wanda hakan ya sa inganci da lokacin isa su zama mafi mahimmanci.
3. Na'urar Auna Nisa ta Laser Mai Bugun Jini don Tankin M-84
LRF da aka bincika shine babban ɓangare don auna nisa daidai, yana ciyar da bayanai kai tsaye zuwa kwamfutar ballistics na tankin.
3.1 Asali da Haɗa Tsarin
LRF tana aiki akan ƙa'idar lokacin tafiya. Ana fitar da ɗan gajeren bugun jini mai ƙarfi na laser zuwa ga manufa. Jinkirin lokaci ($\Delta t$) tsakanin bugun jini da aka fitar da ganowar tunaninsa ana amfani da shi don ƙididdige nisa ($R$): $R = \frac{c \cdot \Delta t}{2}$, inda $c$ shine saurin haske. Haɗawa cikin tsarin sarrafa harbin M-84 yana ba da damar sanya bindiga ta atomatik.
3.2 Binciken Mai Aikawa da Mai Karɓa
Mai aikawa yawanci yana amfani da laser na Neodymium-doped Yttrium Aluminum Garnet (Nd:YAG), yana fitarwa a 1064 nm. Mai karɓa ya ƙunshi na'urar gano hoto (misali, Avalanche Photodiode - APD), masu ƙara ƙarfi, da kewayon lokaci. Binciken ya ba da cikakken bincike na sigogin aiki da dogaro da juna.
4. Binciken Aiki da Tasirin Muhalli
4.1 Tasirin Wutar Lantarki da Zafin Jiki
Bambance-bambance a cikin ƙarfin wutar lantarki na fitila yana tasiri kai tsaye ga adadin da makamashin bugun jini na laser da aka fitar. Hakazalika, zafin jiki na muhalli yana tasiri ingancin sandar laser da kwanciyar hankali na samar da katako. Dole ne a ƙera tsarin don rama waɗannan bambance-bambance a cikin ƙayyadaddun ƙa'idodin soja (misali, MIL-STD-810).
4.2 Halayen Mai Karɓa da Ma'aunin Sigina zuwa Hayaniya
An ƙayyade ƙirar aikin canja wuri na mai karɓa ta hanyar gwaji. An ƙididdige bandwidth daidai. Don wani yuwuwar ganowa ($P_d$) da ƙimar ƙaryar ƙarya ($P_{fa}$), an samo mafi ƙarancin Ma'aunin Sigina zuwa Hayaniya (SNR) da ake buƙata. Simintin lambobi ya ƙididdige SNR da za a iya samu don yanayin gani daban-daban na yanayin huruci.
Fahimta ta Asali: SNR na mai karɓa shine abin da ke iyakance mafi girman nisa a cikin mummunan gani (hazo, ruwan sama, ƙura).
4.3 Ragewar Yanayi da Gani na Yanayin Huruci
Ragewar yanayi yana bin dokar Beer-Lambert: $P_r = P_t \cdot \frac{A_r}{\pi R^2} \cdot \rho \cdot e^{-2\sigma R}$, inda $P_r$ shine ƙarfin da aka karɓa, $P_t$ shine ƙarfin da aka aika, $A_r$ shine yankin mai karɓa, $\rho$ shine hasken da aka nuna, kuma $\sigma$ shine ma'aunin ɓarkewar yanayi. $\sigma$ yana bambanta sosai tare da gani, wanda aka rarraba shi (misali, bayyananne: >20 km, hazo: 4-10 km, hazo: <1 km). Binciken ya bincika wannan tasiri dalla-dalla.
5. Cikakkun Bayanan Fasaha da Tsarin Lissafi
Babban lissafin LRF wanda ya haɗa tasirin tsarin da na yanayi shine: $$P_r = \frac{P_t \cdot A_r \cdot \rho \cdot T_a^2 \cdot T_s^2}{\pi R^2 \cdot \theta_t^2 R^2}$$ Inda $T_a$ shine watsawar yanayi ($e^{-\sigma R}$), $T_s$ shine watsawar gani na tsarin, kuma $\theta_t$ shine rarrabuwar katako. An saita bakin kofa na ganowa ta hanyar hayaniya, musamman daga halin duhu na APD da radiation na bango: $N_{total} = \sqrt{N_{dark}^2 + N_{background}^2 + N_{thermal}^2}$.
6. Sakamakon Gwaji da Tabbatar da Aiki
Aikin LRF da aka bincika ya gamsar da ƙa'idodin soja da aka kafa gaba ɗaya. Mahimman ma'auni da aka tabbatar sun haɗa da:
- Matsakaicin Nisa: An cimma a ƙarƙashin yanayin gani mai kyau (>20 km).
- Daidaito: Yawanci ±5 mita ko mafi kyau a nisan dabaru.
- Ƙarfin Muhalli: Yana aiki a cikin ƙayyadaddun kewayon zafin jiki da ƙarfin lantarki.
Takardar ta ƙarasa da cewa cikakken amfani da iyawar LRF a fagen fama yana buƙatar sa ido akai-akai kan yanayin yanayin huruci. Bugu da ƙari, abokin gaba na iya lalata aiki ta hanyar amfani da allunan hayaki na wucin gadi.
7. Tsarin Bincike: Misalin Tsarin Injiniyanci
Misali: Inganta Tura LRF don Ƙungiyar Tanki.
- Ayyana Bukatun Aiki: Bukatar yuwuwar bugu a 3000m a ƙarƙashin yanayi daban-daban (P_hit > 0.8).
- Ƙirar Tsarin & Muhalli: Yi amfani da lissafin nisa na LRF tare da bayanan ƙididdiga na ƙimar $\sigma$ na yanayi na yanki.
- Gano Bambance-bambance Mai Muhimmanci: Ma'aunin ɓarkewar yanayi ($\sigma$) shine mafi girman tushen bambancin aiki.
- Haɓaka Dabarun Ragewa:
- Sanya masu lura na gaba da na'urori masu auna gani masu ɗaukuwa.
- Haɗa ciyarwar bayanan yanayi na ainihin lokaci cikin tsarin umarni.
- Horar da ma'aikatan kan dabarun ƙididdiga na nisa don faɗuwar ƙarancin gani.
- Shirya don haɗin gwiwar tura hayaki don makantar da LRF na abokan gaba.
- Tabbatarwa: Gudanar da atisayen filin a cikin hazo/ruwan sama don gwada sabbin dabarun da hanyoyin.
8. Fahimta ta Asali & Ra'ayin Mai Bincike
Fahimta ta Asali: Wannan takarda ba game da ci gaba a cikin ilimin kimiyyar laser ba ne; yana da darasi mai zurfi a cikin ingancin tsarin da ake amfani da shi. Haƙiƙanin gudunmawar shine ƙididdige yadda fasaha mai girma (pulsed Nd:YAG LRF) ta gaza a duniyar gaske—ba saboda gazawar ɓangare ba, amma saboda dokokin da ba za a iya canzawa na gani na yanayi da hargitsin fagen fama. Marubutan sun gano daidai ma'aunin sigina zuwa hayaniya a mai karɓa, wanda yanayi da matakan hana suka ƙaddara, a matsayin madaidaicin madaidaicin, ba ƙarfin laser ba.
Tsarin Hankali: Tsarin yana da kyau kuma yana da tasiri: bayyana mahallin (abubuwan yaƙi), ƙayyadadden (tsarin M-84), bincika (mai aikawa/mai karɓa/muhalli), da tabbatarwa (ya cika ƙa'idodi). Tsalle na hankali daga lissafin SNR na fasaha zuwa wajibcin sa ido kan yanayi shine inda injiniya ta haɗu da soja. Yana maimaita falsafar da ake samu a cikin cikakkun binciken aikin tsarin, kamar waɗanda ke ga lidar a cikin motocin cin gashin kansu, inda aka ƙirƙira iyakokin fahimtar muhalli.
Ƙarfi & Kurakurai: Ƙarfi: Ra'ayi na gabaɗaya wanda ke haɗa ƙarfin lantarki na fitila zuwa allunan hayaki na fagen fama yana da yabo. Tabbatar da gwaji na ayyukan canja wuri da SNR a ƙarƙashin gani daban-daban yana ba da bayanai masu amfani, masu amfani. Amincewa da matakan hana aiki (hayaki) yana da gaskiya kuma sau da yawa ana watsi da shi a cikin takardun fasaha kawai. Kurakurai: Takardar tana shiru a fili game da barazana guda biyu na zamani: masu karɓar gargaɗin laser da matakan hana makamashi kai tsaye. Fitar da bugun jini mai ƙarfi, mai haɗin kai alama ce "GA NA NAN" mai girma. Tsarin zamani, kamar yadda hukumomi irin su DARPA suka ruwaito da kuma a cikin mujallu kamar Optical Engineering, suna matsawa zuwa ƙira masu ƙarancin yuwuwar kama (LPI), gami da saurin canza tsawon zango da bugun jini masu lamba. Wannan binciken yana jin kamar an samo asali ne a cikin fagen fama mai daidaito, wanda ba a gasa da dijital ba.
Fahimta Mai Aiki: 1. Ga Masu Haɓakawa: Dakatar da neman ribar ƙarfi kawai. Saka hannun jari a cikin na'urori masu auna yanayi da yawa (SWIR, misali, laser 1550 nm masu kare idanu suna ba da mafi kyawun shiga hazo kuma ba a iya gano su sosai) da ci gaban sarrafa sigina (misali, tacewa daidai, masu gano CFAR) don dawo da SNR daga hayaniya. Yi la'akari da ci gaban sarrafa sigina da aka gani a cikin lidar mai haɗin kai don motocin cin gashin kansu. 2. Ga Masu Shirin Soja: Yi la'akari da bayanan yanayin huruci a matsayin harsashi mai mahimmanci. Haɗa ƙirar yanayin yanayi mai hasashe cikin hanyoyin sadarwar sarrafa wuta. Ƙarshen takardar shine umarninku. 3. Ga Masu Horarwa: Na'urorin kwaikwayo ba dole ba ne kawai suyi kwaikwayon ballistics, amma kuma ragewar yanayi mai ƙarfi. Ya kamata a ƙididdige ƙwarewar ma'aikata akan ikon ƙididdiga da rama asarar gani. 4. Ga Masu Dabarun: A cikin yanayin rikici na tsara, rinjaye a cikin ɓoyayyen fagen fama (hayaki, ƙura, na'urorin samar da iska) na iya zama mai yanke hukunci kamar jagorar daidaito. Wannan takarda tana nuna cewa lalata hanyar haɗin "na'urar gani zuwa mai harbi" na abokin gaba yana da tsada sosai.
A taƙaice, wannan aikin shine ingantaccen tushe na fasaha amma yana aiki fiye da tushe ga tsara na gaba na tsarin manufa masu tsira, masu daidaitawa, da hankali waɗanda dole ne suyi aiki a cikin yanayin da ake gasa ta hanyar lantarki da gani.
9. Ayyukan Gaba da Hanyoyin Ci Gaba
- LRF Masu Yanayi da Yanayi da yawa: Yin amfani da tsayin zango da yawa don shiga cikin takamaiman abubuwan ɓoyewa ko don gano abun da aka yi da manufa.
- Haɗawa tare da AI/ML: Algorithms na koyon injin na iya hasashen yanayin yanayi tare da layin gani ta amfani da bayanan tarihi da na'urori na yanzu, daidaita ribar tsarin ko ba da shawarar yuwuwar shiga ta atomatik.
- Ƙira Masu Ƙarancin Yuwuwar Kama (LPI): Yin amfani da jerin bugun jini na ƙarya-ƙarya ko tsalle-tsalle mai sauri don guje wa ganowa ta hanyar tsarin gargaɗin laser na abokan gaba.
- Ƙididdigar Photon da LRF Masu Hankalin Photon Guda: Yin amfani da fasahohin semiconductor na ci gaba (misali, Single-Photon Avalanche Diodes - SPADs) don mahimmanci mai zurfi, yana ba da damar yin aiki a ƙaramin ƙarfi (mai aminci, mafi ɓoye) ko ta hanyar ɓoyewa mai nauyi.
- Rage SWaP-C don Tura Rarraba: Ƙananan LRF masu iyawa don haɗawa cikin jirage marasa matuki, harsasai masu zama, da tsarin soja ɗaya.
- Tsarin Kariya mai Aiki (APS): Yin amfani da saurin, daidaitattun ma'auni na LRF a matsayin babban na'urar gani don bin diddigin harsasai masu shigowa (rokoki, makamai masu linzami) don nuna matakan hana kashewa mai wuya ko mai laushi.
10. Nassoshi
- Joksimović, D., Cvijanović, J., & Romčević, N. (2015). Impulsni laserski merač daljine za vojne primene. Vojno delo, 5, 357-368. DOI: 10.5937/vojdelo1505357J
- Defense Advanced Research Projects Agency (DARPA). (2021). Advanced Electro-Optical/Infrared (EO/IR) Sensors Program. Retrieved from [DARPA Website]
- Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., ... & Bengio, Y. (2014). Generative Adversarial Nets. Advances in Neural Information Processing Systems, 27. (Nassoshi na ra'ayi don yuwuwar haɗa AI/ML).
- MIL-STD-810H. (2019). Department of Defense Test Method Standard: Environmental Engineering Considerations and Laboratory Tests. U.S. Department of Defense.
- Shimizu, K., & Kitagawa, Y. (2020). Recent Advances in Coherent Lidar for Autonomous Vehicles. Optical Engineering, 59(3), 031205.
- Yuan, P., Lv, X., & Wang, Y. (2022). Single-Photon Avalanche Diode Arrays for 3D Imaging and Ranging: A Review. IEEE Journal of Selected Topics in Quantum Electronics, 28(4: Lidar and 3D Sensing).