Jerin Abubuwan Ciki
1. Gabatarwa
Gine-gine suna da gagarumin gudunmawa ga yawan amfani da makamashi a duniya, kamar yadda aka nuna a Hoto na 1 wanda ke nuna babban rabonsu a ƙasashe kamar Indiya, Amurka, Sin, Koriya, da Ostiraliya. Ƙoƙarin ci gaba mai dorewa da yaduwar ma'aunai na hankali, Tsarin Gudanar da Gine-gine (BMS), da na'urori masu auna yanayi sun haifar da tarin bayanai na makamashi na gine-gine. Waɗannan bayanan sun ba da dama da ba a taɓa samun irinta ba don ƙetare binciken makamashi na gargajiya, wanda ba a yawan yi ba, da kuma takardun kuɗi na wata-wata zuwa fahimtar ci gaban ginin ta hanyar bayanai a kai a kai. Babban ƙalubale da dama suna cikin yin amfani da waɗannan bayanan yadda ya kamata don inganta amfani da makamashi.
Muhimmin Ƙididdiga
Gine-gine suna ba da gudunmawar kusan kashi 20% zuwa 40% na jimillar amfani da makamashi a manyan tattalin arziƙi kamar Amurka, Sin, da Indiya.
2. Tsarin I 5 don Ingantacciyar Amfani da Makamashi ta Hanyar Bayanai
Takardar ta ba da shawarar cikakken tsari da aka taƙaita a matsayin "I 5" don tabbatar da ingantacciyar amfani da makamashi a gine-gine ta hanyar bayanai. Wannan tsarin yana tsara tafiya daga tattara bayanai har zuwa hankali mai amfani.
2.1 Yi Amfani da Kayan Aiki Daidai
Wannan ya ƙunshi sanya kayan aikin firikwensin da dabara. Ba kawai game da tattara ƙarin bayanai ba ne, amma bayanan da suka dace da girman da mita da suka dace. Wannan ya haɗa da ma'aunai na hankali (waɗanda ke ba da jimillar bayanan amfani a tazara kamar mintuna 15), ƙananan ma'auni don takamaiman tsare-tsare (HVAC, haske), da na'urori masu auna yanayi (zafin jiki, yawan mazauna, matakan haske). Manufar ita ce ƙirƙirar hanyar sadarwar firikwensin mai tsada wacce ke ba da isasshen inganci don bincike ba tare da rikitarwa da ba dole ba.
2.2 Haɗa Tsarin Ƙananan Tsare-tsare
Gine-gine na zamani sun ƙunshi tsare-tsare masu keɓance: HVAC, haske, tsaro, da nauyin toshe sau da yawa suna aiki da kansu. Wannan ginshiƙi yana jaddada haɗa waɗannan tsare-tsare don raba bayanai da ba da damar sarrafa haɗin kai. Misali, bayanan mazauna daga na'urori masu auna tsaro na iya sanar da jadawalin HVAC da haske, wanda zai haifar da tanadi mai yawa. Ƙa'idodin haɗin kai da tsaka-tsakin tsaka-tsaki sune manyan ƙalubalen fasaha a nan.
2.3 Yanke Shawara ta Hanyar Fahimta
Wannan shine jigon bincike. Ya ƙunshi amfani da injunan koyo da ƙirar ƙididdiga ga bayanan da aka tattara kuma aka haɗa su don cire fahimta. Aikace-aikacen sun haɗa da:
- Gano Kuskure & Bincike (FDD): Gano kayan aiki marasa aiki (misali, damper da ya makale, na'urar sanyaya mai lahani) ta hanyar kwatanta tsammanin aiki da ainihin tsarin aiki.
- Hasashen Nauyi: Hasashen buƙatun makamashi na ɗan gajeren lokaci da na dogon lokaci don inganta hulɗar grid da samarwa a wurin.
- Gane Tsari: Fahimtar bayanan amfani na yau da kullun don gano abubuwan da ba su dace ba ko rashin inganci.
2.4 Haɗa Mazauna Cikin Aiki
Halin mazauna wani muhimmin abu ne, wanda sau da yawa ba a iya hasashensa, a cikin amfani da makamashi na gini. Wannan ginshiƙi yana mai da hankali kan motsa mazauna daga masu amfani marasa rai zuwa mahalarta masu aiki. Dabarun sun haɗa da samar da ra'ayoyin makamashi na sirri ta hanyar allunan gaba, aiwatar da wasan motsa jiki don ƙarfafa halayen tanadin makamashi, da ƙirƙirar tsare-tsare masu daidaitawa waɗanda ke koyo daga abubuwan da mazauna suka fi so kuma suna amsa yayin da suke tura su zuwa inganci.
2.5 Ayyuka na Hankali
Wannan shine ƙarshe, inda aka fassara fahimta daga fahimta da ra'ayoyin mazauna zuwa ayyukan sarrafawa ta atomatik ko rabin atomatik. Ya ƙunshi tsare-tsare masu rufaffiyar madauki waɗanda ke daidaita ayyukan gini—kamar saitin HVAC, matakan haske, da matsayin makafi—a ainihin lokacin bisa yanayin yanzu, hasashe, da yawan mazauna don rage amfani da makamashi yayin kiyaye jin daɗi.
3. Nazarin Lamari: Binciken Amfani da Wutar Lantarki Ba tare da Katsalandan ba (NILM)
Takardar ta yi amfani da NILM a matsayin matsala da aka yi nazari sosai wacce ta shafi dukkan I 5. NILM tana nufa raba jimillar amfani da wutar lantarki na gini (daga ma'aunin hankali guda ɗaya) zuwa gudunmawar kayan aiki ɗaya.
- Kayan Aiki: Ya dogara da ma'aunin hankali guda ɗaya, wanda aka sanya shi da kyau.
- Haɗin Kai: Sakamakonsa (bayanai na matakin kayan aiki) na iya ciyar da sauran tsare-tsare (misali, kayan FDD don lafiyar kayan aiki).
- Fahimta: Jigon NILM ya ƙunshi ingantaccen sarrafa sigina da algorithms na koyon inji (misali, Ƙirar Markov ɓoye, koyo mai zurfi) don gano sa hannun kayan aiki.
- Shiga: Yana ba mazauna cikakkun bayanai game da amfani da makamashi, yana ba su ikon canza halayensu.
- Ayyuka na Hankali: Bayanan da aka raba na iya haifar da ayyuka ta atomatik, kamar kashe kayan aikin da aka manta da shi a matsayin "a kunne."
4. Cikakkun Bayanai na Fasaha & Tsarin Lissafi
Za a iya bayyana sauƙaƙan tsari don matsalar NILM, wani muhimmin aikin fahimta, kamar haka:
Bari siginar ikon gama gari daga ma'aunin hankali a lokacin $t$ ya zama $y_t$. Ana ɗaukan wannan siginar a matsayin jimillar amfani da wutar lantarki na kayan aiki $N$ guda ɗaya da ƙara hayaniya:
$y_t = \sum_{i=1}^{N} x_t^{(i)} + \epsilon_t$
inda $x_t^{(i)}$ shine jan wutar lantarki na kayan aiki $i$ a lokacin $t$, kuma $\epsilon_t$ shine hayaniyar ma'auni. Manufar NILM ita ce kimanta vector na yanayi $\mathbf{s}_t = [s_t^{(1)}, s_t^{(2)}, ..., s_t^{(N)}]$, inda $s_t^{(i)} \in \{0, 1\}$ (KASHE/KUNA don sauƙaƙan kayan aiki na binary), ko ƙimar wutar lantarki mai ci gaba, idan aka ba da jerin abubuwan da aka gani kawai $\mathbf{y}_{1:T} = [y_1, y_2, ..., y_T]$. Ana yawan ƙirƙira wannan a matsayin ƙirar Markov ɓoye na factorial (FHMM).
5. Sakamakon Gwaji & Bayanin Ginshiƙi
Bayanin Hoto na 1 (An ambata daga PDF): Ginshiƙin ginshiƙi ne mai taken "Gudunmawar gine-gine ga jimillar amfani da makamashi." X-axis yana lissafa ƙasashe biyar: Indiya, Amurka, Sin, Koriya, da Ostiraliya. Y-axis yana wakiltar kashi na jimillar amfani da makamashi. Kowane ƙasa yana da ginshiƙi da ke nuna kaso nasa, yana nuna a zahiri cewa gine-gine suna ɗaukar babban kashi kuma suna bambanta (mai yiwuwa tsakanin 20% da 40% bisa ga bayanan yau da kullun) na amfani da makamashi na ƙasa. Wannan adadi yana nuna mahimmancin sashin gine-gine a duniya a matsayin babban mai amfani da makamashi da kuma babban tasirin ingantaccen tasiri.
Lura: Abin da aka ba da na PDF bai ƙunshi cikakkun sakamakon gwaji don takamaiman algorithm ba. An mai da hankali kan tsarin ra'ayi.
6. Tsarin Bincike: Misali Ba tare da Lambar Kwamfuta ba
Yi la'akari da bincika babban amfani da makamashi na ofis na kasuwanci a ƙarshen mako.
- Kayan Aiki/Haɗin Kai: Ana tattara rafukan bayanai: kW na ginin gaba ɗaya daga ma'aunin hankali, matsayin tsarin HVAC daga BMS, da bayanan badge-swipe daga tsarin tsaro (a matsayin wakili na mazauna).
- Fahimta: An gudanar da sauƙaƙan binciken alaƙa. Ya bayyana babban amfani da makamashi a ranar Asabar duk da cewa kusan sifili ne na badge swipes. Algorithm na clustering (kamar k-means) akan bayanan wutar lantarki na HVAC na iya nuna na'urar AHU guda ɗaya tana ci gaba da aiki a babban nauyin tushe.
- Shiga: An gabatar da manajan kayan aiki da allon gaba wanda ke nuna: "Makamashin ƙarshen mako shine kashi 60% na matsakaicin ranar aiki. Babban direba: AHU-3 yana gudana a kai a kai."
- Aiki na Hankali: An ƙirƙiri ƙa'ida ta atomatik a cikin BMS: "Idan ranar Asabar/Lahadi ne KUMA ƙididdigar mazauna tsarin tsaro sifili ne na >2 hours, saita AHU-3 zuwa yanayin da ba a zauna ba." Tsarin sannan ya aiwatar da wannan, kuma ana sa ido kan amfani da makamashi don tabbatarwa.
7. Hangar Aikace-aikace & Hanyoyin Gaba
- Gine-gine Masu Ingantacciyar Hulɗa da Grid (GEBs): Gine-gine ba za su zama masu inganci kawai ba amma za su goyi bayan grid ta hanyar amsa buƙatu, ƙa'idar mitar, da tarawa na tashar wutar lantarki ta zahiri, kamar yadda Ma'aikatar Makamashi ta Amurka ta yi hasashe.
- Haɗin Koyo Mai Zurfi: Yaɗuwar ƙirar koyo mai zurfi (CNNs don nazarin siffar nauyi, Masu Canzawa don hasashen jerin gwano) don ƙarin daidaitaccen FDD, hasashe, da NILM, ƙetare HMMs na gargajiya.
- Tagwaye na Digital: Ƙirƙirar kwafin gine-gine na zahiri masu inganci waɗanda ke kwaikwayon kwararar makamashi a ainihin lokacin, suna ba da damar gwajin yanayi da kulawa na tsinkaya ba tare da rushe ainihin ayyuka ba.
- Bincike Mai Kiyaye Sirri: Haɓaka fasahar koyo ta tarayya da dabarun keɓancewa don samun fahimta daga tarin bayanan gini ba tare da lalata sirrin mazauna ko mai haya ba.
- Haɗin Tattalin Arzikin Da'ira: Yin amfani da bayanan aiki don sanar da binciken rayuwar kayan aiki da sassa, sauƙaƙe sake amfani da sake yin amfani da su daidai da tsarin daga Gidauniyar Ellen MacArthur.
8. Nassoshi
- Batra, N., Singh, A., Singh, P., Dutta, H., Sarangan, V., & Srivastava, M. (2014). Data Driven Energy Efficiency in Buildings. arXiv preprint arXiv:1404.7227.
- Ma'aikatar Makamashi ta Amurka. (n.d.). Grid-Interactive Efficient Buildings. An samo daga energy.gov
- Zhu, J., Park, T., Isola, P., & Efros, A. A. (2017). Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. Proceedings of the IEEE International Conference on Computer Vision (ICCV). (CycleGAN a matsayin misali na ƙirar samarwa mai ci gaba da dacewa da samar da bayanan roba don simintin gine-gine).
- Gidauniyar Ellen MacArthur. (n.d.). Circular Economy Introduction. An samo daga ellenmacarthurfoundation.org
- Zhao, B., Stankovic, L., & Stankovic, V. (2016). On a training-less solution for non-intrusive appliance load monitoring using graph signal processing. IEEE Access, 4, 1784-1799.
9. Ra'ayin Mai Bincike: Ma'anar I 5
Babban Fahimta: Ainihin ƙimar takardar ba ta cikin fasahohin da ta lissafa—ma'aunai na hankali, BMS, ML—waɗanda aka sani sosai. Kyawunta yana cikin tsarin I 5, wanda ke ba da taswirar dabarun da ake buƙata sosai. Ya gano daidai cewa matsalar ingancin gini wani ƙalubale ne na haɗin tsarin da ya danganci ɗan adam, ba kawai wasan ilimin bayanai ba. Yawancin gazawar ba ta faru ba saboda mummunan algorithms, amma saboda mummunan dabarun kayan aiki, tsare-tsare masu keɓance, ko halayen mazauna da aka yi watsi da su.
Kwararar Hankali: Ci gaban tsarin yana da ma'ana kuma yana maimaitawa. Ba za ku iya samun ayyuka na hankali (I5) ba tare da fara yanke shawara ta hanyar fahimta (I3) ba, wanda ba zai yiwu ba idan ba tare da haɗin bayanai (I2) daga mafi kyawun kayan aiki (I1). Muhimmanci, ya saka "Haɗa Mazauna Cikin Aiki" (I4) daidai a tsakiya, yana yarda cewa atomatik kadai ya gaza idan ya ware mutanen da ke ciki. Wannan yayi daidai da binciken da aka samu daga binciken hulɗar ɗan adam da kwamfuta a cikin tsare-tsare masu dorewa.
Ƙarfi & Kurakurai: Ƙarfi: Tsarin yana da cikakke, mai tunawa, da kuma mai da hankali kan aiki. Yin amfani da NILM a matsayin nazarin lamari mai faɗi kayan koyarwa ne mai ƙarfi. Yana hasashen IoT da fashewar bayanai a cikin gine-gine. Kurakurai: Takardar, kasancewar hangen nesa na 2014, a zahiri ba ta da nauyin girman tasirin koyo mai zurfi na zamani (misali, ƙirar Masu Canzawa don hasashen lokaci-lokaci) da ƙalubalen lissafi/tsaro na I2 da I5. Hakanan ta yi watsi da manyan shinge na tattalin arziki da kwangila don haɗa tsarin ƙananan tsare-tsare na gini, wani shinge wanda har yanzu ba a warware shi ba a yau.
Fahimta Mai Amfani:
- Ga Masu Gine-gine/Masu Gudanarwa: Yi amfani da I 5 a matsayin ƙirar balaga. Yi bincike kan yanayin ku na yanzu da kowane "I." Yawancin sun makale a I1 (tattara bayanai). Ba da fifiko ga ayyukan da suka ci gaba da ku zuwa I2 (haɗin kai) da I4 (shiga mazauna)—waɗannan sau da yawa suna da mafi girman ROI fiye da neman riba a I3 (daidaiton ƙira).
- Ga Masu Sayar da Fasaha: Daina sayar da mafita a batu. Shirya abubuwan da kuke bayarwa don magance ɗaya ko fiye na I 5 a sarari. Mai siyar da BMS ya kamata ya yi magana game da buɗaɗɗen APIs don I2, bincikensa na ciki don I3, da app ɗin mazauna don I4.
- Ga Masu Bincike: 'Ya'yan itacen da ba su da tsayi a cikin I3 (haɗin algorithm) an ɗauke su gabaɗaya. Ƙarin nasarori za su kasance a mahadar: I2+I3 (koyo mai kiyaye sirri a cikin tsare-tsare), I3+I4 (AI mai bayyanawa don ra'ayoyin mazauna), da I4+I5 (sarrafa daidaitawa tare da ɗan adam a cikin madauki). Ka mai da hankali a can.