Tsarin Gine-ginen Mai Cin Gashin Kansa na Cyber-Physical tare da DAO, LLM, da Digital Twin

Teburin Abubuwan Ciki

1. Gabatarwa

Binciken gine-ginen mai cin gashin kansa na yanzu ya fi mayar da hankali ne kan ingantaccen amfani da makamashi da kuma sarrafa kai, amma yana fuskantar iyakancewa a cikin daidaitawa da bayyana gaskiya. Tsarin AI na al'ada ya dogara ne akan ƙa'idodin da aka ƙayyade kuma yana fama da rikitattun ayyukan gini masu tasowa. Tsarin gudanar da kayan aiki na tsakiya ya ƙara kawo cikas ga cin gashin kansa na gaskiya. Wannan takarda ta gabatar da wani sabon tsarin Tsarin Gine-ginen Mai Cin Gashin Kansa na Cyber-Physical wanda ke haɗa DAOs, LLMs, da tagwayen dijital don ƙirƙirar kayan aiki masu wayo, masu sarrafa kansu.

2. Hanyar Aiki

2.1 Tsarin Ginin Mai Cin Gashin Kansa

Tsarin da aka tsara ya haɗa manyan fasahomi guda uku: Ƙungiyoyi Masu Cin Gashin Kansu don gudanar da mulki mai bayyana gaskiya, Manyan Samfuran Harshe don yanke shawara mai hikima, da Tagwayen Dijital don wakilcin gini na ainihi. Wannan ya haifar da tsarin cyber-physical wanda ke da ikon aiki da kuma sarrafa kuɗi mai cin gashin kansa.

2.2 Mataimakin AI na Tushen LLM

An ƙera wani ci-gaba na mataimakin AI ta amfani da tsarin gine-ginen transformer don samar da hulɗar ɗan adam-gini mai ma'ana. Tsarin yana sarrafa tambayoyin yare na al'ada game da ayyukan gini, ma'amaloli na blockchain, da ayyukan sarrafa kayan aiki, yana ba da damar sadarwa mai sauƙi tsakanin mazauna da kayan aikin mai cin gashin kansa.

2.3 Haɗin Tagwayen Dijital

Bangaren tagwayen dijital ya ƙirƙiri kwafin kama-da-wane na ginin zahiri, wanda ake ci gaba da sabunta shi tare da bayanan firikwensin na ainihi. Wannan yana ba da damar kulawa na annabta, ingantaccen aiki, da gwajin yanayi ba tare da katse ayyukan gini na ainihi ba.

3. Aiwar da Fasaha

3.1 Tsarin Lissafi

Tsarin yanke shawara mai cin gashin kansa yana bin hanyar koyon ƙarfafawa inda tsarin ke inganta ayyukan gini bisa maƙasudai da yawa:

$J(\theta) = \mathbb{E}_{\tau \sim \pi_\theta}[\sum_{t=0}^{T} \gamma^t r(s_t, a_t)]$

inda $J(\theta)$ ke wakiltar aikin maƙasudi, $\pi_\theta$ ita ce manufa, $r(s_t, a_t)$ ita ce lada a lokacin $t$, kuma $\gamma$ shine ma'aunin rangwame. Tsarin yana daidaita ingantaccen amfani da makamashi $E$, kwanciyar hankalin mazauni $C$, da farashin aiki $O$:

$r(s_t, a_t) = \alpha E(s_t, a_t) + \beta C(s_t, a_t) + \delta O(s_t, a_t)$

3.2 Aiwar da Lambar

An aiwatar da cikakkiyar aikace-aikacen rarrabuwar kawuna ta amfani da Solidity don kwangiloli masu wayo da Python don abubuwan AI:

class GiniMaiCinGashinKansa:
    def __init__(self, building_id, dao_contract, llm_model):
        self.building_id = building_id
        self.dao_contract = dao_contract
        self.llm_assistant = llm_model
        self.digital_twin = DigitalTwin(building_id)
    
    def process_occupant_request(self, query):
        # LLM yana sarrafa yaren halitta
        intent = self.llm_assistant.classify_intent(query)
        if intent == "facility_control":
            return self.execute_facility_control(query)
        elif intent == "financial_operation":
            return self.execute_dao_voting(query)
        
    def optimize_operations(self, sensor_data):
        # Koyon ƙarfafawa don daidaitawa mai cin gashin kansa
        state = self.digital_twin.get_current_state()
        action = self.policy_network.predict(state)
        reward = self.calculate_reward(state, action)
        return action, reward

4. Sakamakon Gwaji

4.1 Yanayin Gwaji

An gwada yanayi shida na duniyar gaske don tabbatar da tsarin:

• Gudanar da kudaden shiga da kashe kudi na gini ta hanyar DAO
• Sarrafa kayan aiki ta taimakon AI ta hanyar yare na al'ada
• Daidaitawar tsarin HVAC mai cin gashin kansa
• Tsara kulawa na annabta
• Inganta amfani da makamashi
• Tsaro da sarrafa shiga ta atomatik

4.2 Ma'aunin Aiki

Samfurin ya nuna gagarumin ci gaba a cikin ma'auni da yawa:

5. Bincike Mai Zurfi

6. Ayyuka na Gaba

Fasahar tana da babban yuwuwar aiki mai faɗi:

• Birane Masu Wayo: Haɓaka zuwa matakin gundumomi na sarrafa kayan aiki mai cin gashin kansa
• Jure wa Bala'i: Cibiyoyin sadarwar gini masu warkar da kansu yayin gaggawa
• Ci Gaba Mai Dorewa: Ingantaccen sawun carbon da atomatik da bayar da rahoto
• Kayan Aikin Kiwon Lafiya: Sarrafa muhalli mai cin gashin kansa don buƙatun likita na musamman
• Wuraren Zama na Sararin Samaniya: Aikace-aikace a cikin sarrafa gini na waje inda shisshigin ɗan adam ya iyakance

Hanyoyin bincike na gaba sun haɗa da sirri mai jure ƙididdiga na quantum don tsayayyen tsaro, hanyoyin koyo na tarayya don haɗin gwiwar kiyaye sirri tsakanin gine-gine, da haɗin kai tare da tagwayen dijital na matakin birane kamar yadda ake tallafawa ta ƙaddamarwa kamar aikin Singapore na Virtual Singapore.

7. Bayanan

1. Zhu, J. Y., et al. "Fassarar hoto-zuwa-hoto mara biyu ta amfani da cibiyoyin sadarwar saba'u masu daidaitaccen zagayowar." Proceedings of the IEEE international conference on computer vision. 2017.
2. Cibiyar Ƙididdiga da Fasaha ta ƙasa. "Tsarin Tsarin Cyber-Physical." NIST Special Publication 1500-201. 2017.
3. Cibiyar McKinsey Global. "AI da Makomar Gudanar da Kayan Aiki." 2022.
4. Gidauniyar Bincike ta Ƙasa ta Singapore. "Singapore na Kama-da-wane: Tagwayen Dijital Haɗe." 2023.
5. Buterin, V. "Takarda Fari na Ethereum: Kwangila Mai Wayo na Zamani da Dandamali na Aikace-aikacen Rarrabuwar Kawuna." 2014.
6. Vaswani, A., et al. "Hankali ne duk abin da kuke buƙata." Ci gaba a cikin tsarin sarrafa bayanai na jijiyoyi. 2017.