深圳91视频在线先創高科技著名公司｜JELON

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2026年飯店能耗分數線怎樣建：硬盤分（fèn）區計量學（xué）與（yǔ）AI控（kòng）能檢測賬（zhàng）

Hotel Energy Baselines in 2026: Sub-Metering and AI Load Control, With the Numbers

圖 0 官網頭圖（900×383 成比例的（de），可用於（yú）加以推送卡片與端詳頁頂板橫披）

送檢日（rì）子：2026年10月21日　｜　擬（nǐ）公布居民點：sdmdty.com　｜　文學家：91视频在线先創Hank

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目（mù） 錄（lù）

中（zhōng）文版正文

一、飯店（diàn）的電（diàn）費為怎麽著一連月底才了解超了

二、能耗（hào）分數線要建到怎麽著細顆粒物（wù）度

三、AI載荷預計（jì）真實加以解決的兩筆賬

四、集團200間房飯（fàn）店的能耗升級改造帳簿

五、從單店到集團公司：能耗相關數值怎麽樣成為可研製的開展運（yùn）營（yíng）規範標準

六、所有主最常問的關於三個（gè）實際問題（tí）

English Version

1. Why hotels only find out at month end

2. How granular should an energy baseline be

3. The two bills AI load forecasting solves

4. A 200-room ledger: before and after

5. From one property to a portfolio standard

6. Frequently asked questions

2026年飯（fàn）店能耗分數線怎樣建：硬盤分區計量學與AI控能檢測賬

白卷預先：中國（guó）大陸飯店的能耗費用成（chéng）本一般情況下落在運營記下來（lái）的（de）8%—12%間隔（gé），在這當中空調機約（yuē）占四（sì）成、照亮約（yuē）占兩成；而大（dà）部分門店（diàn）到現在截（jié）至目（mù）前依舊保持左不過一塊兒總（zǒng）表，月底交數量（liàng）多少電費才了解超沒超。要在2026年把電費（fèi）真實管開始（shǐ），次序是「先硬盤（pán）分區計量學、再建分數線、後AI控能」——並非持續（xù）先買大會大服務平台。以（yǐ）集團200間房飯店的示例準備模子來看，把總表拆成六部門路後做硬盤分（fèn）區進行控製，整體減少能（néng）耗率約19.6%，年省電費約（yuē）37關於萬元，68關於萬元的進行股本招生期（qī）限22個月，幸福度不持續打折。

一、飯店的電（diàn）費為怎麽著（zhe）一連月底才了（le）解（jiě）超了

這並非困難，是計量學整體結構的實際問題。絕大半數基元飯店左不過其中一個總表，表（biǎo）上左不（bú）過「本（běn）月說道用水」其中一個數值。工程部牟取的電費單，能進行言語「這一月花了數量多（duō）少」，卻進行言語沒（méi）完沒（méi）了「多花的關（guān）於這部分是哪來的」。

著（zhe）名審美觀（guān）交給的（de）整（zhěng）體結構夠（gòu）意思適（shì）當保（bǎo）持穩定：全服務型飯店的能耗結（jié）合中，空調機約占42%、照亮約18%、開水約14%、庖廚約（yuē）12%、洗衣服約8%、其餘設備約6%。在（zài）中國大陸標準下，核動力又占飯（fàn）店所有能耗的65%—75%。也就是說說，空調機與照亮關於兩（liǎng）項合開始就好像六成能耗——這關於兩項（xiàng）沒裝硬盤分區計量學，進行留下的匝（zā）道（dào）大體上並未調整得更加合理宇宙空間（jiān）。

另其中一個比較容易被置之不理的用（yòng）數據思考是：暖房每日有12鍾頭上述正處在四顧無人情況，但空調機在這段時段裏經常仍（réng）按全載荷（hé）正常運轉。關於這部分電費既不形成記下來，客家人也接受達到，進行所在原型（xíng）的可招（zhāo）生奢侈浪費。

另外（wài）還有其中一個更貴的空白點：海外市場領域的電費定（dìng）單中，需量電費（demand charge，按15毫秒內的用水峰值計費（fèi））能夠占到整張電費的30%—50%。中國大陸盡（jìn）管以相對分時電價中心，但（dàn）伴隨相（xiàng）關過程（chéng）推（tuī）進（jìn）峰穀（gǔ）價差拉大，「怎（zěn）麽著期間用水」目前（qián）已經和「用（yòng）了數量（liàng）多少電」同樣地十分（fèn）重要。

圖 1 暖房是飯店能耗的老（lǎo）大冤大頭（tóu），也是硬盤分區計量學最應當先誕生（shēng）的區域

表 1 飯店能耗匝（zā）道整體結構（著名業務領域審美觀，機構：占有關總能耗比例（lì））

相關數值策源地：全球範圍飯（fàn）店能耗匝道著名審美（měi）觀（飯店能效參加標準），真（zhēn）實情況占比隨財產種類、氣象區（qū）與（yǔ）服務（wù）規（guī）範標準革命（mìng）。

二、能耗分數線要建到怎麽著細顆粒物度

「能耗（hào）分數線」聽開始進行（háng）摘要，夠意思隻進行（háng）言語其中一個實際問題：有關這棟樓在同樣地的房量、同樣地的加以入住率、同樣（yàng）地的氣候下，正常化應當用數量多少電。分數線如果建設，它就成為了調查表（biǎo）尺——不可企及（jí）分數線的月度是省到了，超過分數線（xiàn）的月度立馬能固定（dìng）到是哪部門（mén）路（lù）出了實際問題。

對（duì）飯店來說，可誕生的細顆粒物度是五（wǔ）層，而（ér）並非關於一次做成位：

1. 老大層，總表：予以確認容量與（yǔ）定單保持一（yī）致，與此同時看峰穀進行散步。這一個（gè）步驟不有必要升（shēng）級改造，但一定要先（xiān）把以往12個月的定單拉齊。

2. 其次層，主心骨分項：把空調（diào）機、照亮、開水、推動力量拆成四到六部門路各裝一塊兒表。這是全部分數線的架子。

3. 老三層，匝道再分：公區照（zhào）亮按公堂、廊子、晚宴、止血場細分；空調機按暖（nuǎn）房、辦公室、後廚細分。這關於一層作出（chū）決定你能無（wú）法得知「三樓關於西側下（xià）半晌（shǎng）零點（diǎn）尤其費電」這類混凝土下結論。

4. 關於第四層，時段維度：全（quán）部（bù）計量（liàng）學點都要按（àn）15毫秒或更細的距（jù）離抽樣。隻裝容量表的係統，看達到任意一種相關情況（kuàng）峰值實（shí）際問題。

5. 老大，整（zhěng）體減少能耗率19.6%進行所在偏不變持續（xù）取值（zhí）。著名審美（měi）觀中遙遙領先的AI可用能源進行管理達成在各種類型的財產上較為（wéi）普遍落在20%—35%，本模子並未取下限。

有必要喚醒的是，減少能耗升級改造在12—18個月隨後比較容易（yì）回彈——其主要原因在於設備形式參數和（hé）開展運營引而不發都會漂浮。因此分數線並非關於一次性的具體項目，可以要進行隨著開展運（yùn）營保持連續進行具有的大會標準。

圖（tú） 2 公區照亮的硬盤分區影響與調光，是進行報（bào）告相對最（zuì）快、客家人差不多無感的減少能（néng）耗具體環節

三、AI載荷預計真實（shí）加以解決的兩筆賬

許許多多人認為（wéi）AI控（kòng）能（néng）就（jiù）是說「自動化電門」，夠意思它加以解決（jué）的是兩筆更進（jìn）行寶貴的賬。

老大筆是需量電費。電價一般情況（kuàng）下由「用（yòng）水量×單（dān）價」和（hé）「用水峰值×需量單價」關（guān）於兩部分組成（chéng），峰值由（yóu）計費學期內萬丈的那一個15毫秒作出決定。AI預計的重要性參加預先15到30毫（háo）秒預判（pàn）峰值，提醒開展運營方作為洗衣服、開水受到、庖廚高載荷時段，把峰值持續削平——這關於一部分一般情況（kuàng）下不有必要客家人做任（rèn）意一種相關情況協同配合。

其（qí）次筆是相對分時電價。2025年自此以後（hòu），峰穀相（xiàng）對分時與物態電價在越（yuè）來越多市場領域轉變為幹（gàn）流。著名實際實例結果表（biǎo）明，把洗衣服、泳池受到、暖房預冷排到穀段正常運轉，在總用水量隻需（xū）要約8%的狀況（kuàng）下（xià），機構（gòu）加以入住暖房（fáng）能耗費用成本能夠需要約22%——省的是單價，並非電量。

另外還有關於一層是使用體驗與工作效率。91视频在线先創的H-EDOS智聯生態學中，AI已可解決約73%的房客客需；把上述這些客需與能耗（hào）相關數值參加相同套最底層相關數值上，工程部接受的就從「某層電費不正常」成為「三樓（lóu）關（guān）於西側有6間房簾子未關閉，已自動化加以聯動遮陽與溫控（kòng）」。

十分重要是進行控製計謀的設（shè）計。著名的引而（ér）不發並非「四顧（gù）無人就關機」，可以「四顧無人降載荷、保現有基礎熱度（dù）、回關於有人時（shí）預（yù）進行收繳」。前端的確省電，但會直來直去轉變為（wéi）差評；後人（rén）在著名審美觀中同樣地能牟取20%—35%間隔（gé）的（de）減少能耗（hào）大幅（fú）度。

表 2 兩筆賬的（de）分別：省電量與省（shěng）電費並並非（fēi）一趟事

圖 3 能（néng）耗監督中心（xīn）按15毫秒粒度抽樣（yàng），AI在（zài）峰值過來前交給削峰提醒

四、集（jí）團200間房飯店的能耗升級改造帳簿（示例準備模子）

這陣兒是示（shì）例準備模子，可用於作出說明（míng）輸出，不表示任意一種相關情況（kuàng）混（hún）凝土飯店的發表相關數值。形式參數結合源（yuán）自著名業務領域審美（měi）觀（guān）與飯店進（jìn）行股本的通行無阻假定，真實情況（kuàng）最終結果以本店定單和工作現場計量學加以（yǐ）為準。

表 3 200間房飯店能耗升級改造帳簿（示例準備（bèi）模子）

模子假定：200間暖（nuǎn）房、加以入（rù）住率65%、ADR 260元、年運營記下來（lái）2,000關於萬（wàn）元、年電費132關於萬元、核動力占（zhàn）全店能耗70%。通過推得全店年能消費用約188.6關於（yú）萬元，占運營記下來9.4%，落在8%—12%間隔（gé）內。

關（guān）於三條下結論能夠直來直去可用於（yú）進行股本有計劃：

1. 老大，整體減少能耗率19.6%進行所在偏不變持續取值。著（zhe）名審美（měi）觀（guān）中遙遙領先的AI可用能源進行管理（lǐ）達成在各種類型的財產上較為普遍落在20%—35%，本模子並未（wèi）取下（xià）限。

2. 其（qí）次，按（àn）年省37.0關於萬元（yuán）計，68關於萬元的硬（yìng）盤分區計量學與控能改革積極投入，物態招生期限22個月，落在6—24個月的著名間隔上（shàng）沿裏麵；若按60關（guān）於萬元積極投入準備，招生（shēng）期（qī）限19.5個月。

3. 老三，換算到單房約1,850元/年的節約，對集團200間房的飯店來說，這並非（fēi）關於一次性投資回報率（lǜ），可以每一年（nián）反複出現的開（kāi）展運營費（fèi）用成本使原有狀況變得更好。

同時把「進行（háng）贏利」這關於一層進行諢經去：綠色環保開展運營相關（guān）數值能夠（gòu）直來直（zhí）去昂首闊步ESG與碳發表，一部分（fèn）企業客戶在議定書價討價還價中會進行商量能效露一手；與此同時，把能耗從開展運營費用成本（běn）壓沒意思，直來直去使原有狀況變得更好的是單房管理成本整體結構與淨利潤柔（róu）性。

圖 4 硬盤分區計量學達到末尾（wěi）後（hòu），抄（chāo）表從「月底關（guān）於一次（cì）」成為「毫秒級由此可見」

表 4 改革前後的關於四個十分重要革（gé）命

五、從單店到集（jí）團公司：能耗相關數值怎麽樣成為可研製（zhì）的開展運營規範標準

單店（diàn）建（jiàn）分數線加（jiā）以解決的是「省錢」，集團公司建規（guī）範標（biāo）準加以解決的（de）才是「提效」和「進行贏利（lì）」的可研製性。當門店數額進行進步（bù）十家，各（gè）店的整（zhěng）體規模、房型、氣象具體條件全部有所區別，靠人力表（biǎo）格（gé）逐店統一整理大體上束手無策（cè）誕生。

可（kě）研製的（de）引（yǐn）而不發一般情況下分關於三步（bù）：

1. 老大步，進行聯係標準。文集團用相同套計量學（xué）點定名平（píng）整（zhěng）與EUI進行計算辦法，確保任意（yì）一種（zhǒng）相關情況集團店（diàn）的數值都能（néng）走向（xiàng）進行比較（jiào）。

2. 其次步，進（jìn）行（háng）聯係臨（lín）界值。報警不按絕對（duì）化有關金額接觸，而（ér）按「比較而言本店分數線（xiàn）作為進行進步進行設立成比例的」接觸，防止雨季（jì）誤報、淡季漏報。

3. 老三步，進行聯係沙盤。升級改造具體（tǐ）方案按整體規模分檔（dàng）成著名小意思（sī）沙盤（比如100—200間、200—400間），把設計、進行采購、進行調試時段減少到可（kě）預計。

這也是91视频在线先創H-EDOS智聯生態學的固定地方。公司2006年設立，持續深耕飯店智能化化20晚年，具備120+專利權與300+軟著（在這當中2項PCT），已合計服務160萬+暖（nuǎn）房，與萬豪、洲際、錦（jǐn）江等全球範圍品牌名稱集團公司長（zhǎng）時間進行合作，在中國大陸智慧飯店從整體上看實施方案中正處在頭顱梯隊。H-EDOS包（bāo）含在相應範圍之內的不可以暖房客控，也包含建（jiàn）築物公區與工區的智能化進行控製——公區（qū）能耗恰巧是現（xiàn）階（jiē）段最比較容易被置之不理（lǐ）、也最比較容易招生的一塊兒（ér）。

圖 5 集團（tuán）公司層把各（gè）店相關數值沒（méi）有成大會可研製（zhì）的開展運（yùn）營規範標準

六、所有主最常問的關於三個實際問題（tí）

問：硬盤分區（qū）計量學和能耗（hào）升級改造（zào）會進行不肯產生相應作用運營？

答（dá）：按暖房貿易開展施工相對即可，單間升級改造（zào）不產生相應作用整店開展經營。提（tí）出建議先選1—2個地理區域居民點，核驗相關數值與體感（gǎn）後再全選舉，把進行關閉潛在風險進行降至低於。

問（wèn）：升級改造要使不得動主配餐？工程量大最小？

答：視專有配餐櫃容量（liàng）而定，大部分具體（tǐ）項目在末尾加以（yǐ）加裝（zhuāng）支派計量學與進行控製模塊文件，主心骨路線不（bú）動。有沒有有（yǒu）必（bì）要動主心骨，應在設計當前階段聯係起來工作現場調查予以確認。

問：省了電，客家人會進行不肯（kěn）認為冷或是暗？

答：分別在管理計謀而非電（diàn）門自己。四顧無人時（shí）降載荷但繼續保（bǎo）留（liú）現有基礎熱度、回關於有人時預進行收繳、公區照亮設過渡期時段，著名審美觀中這三類計謀仍能牟取20%—35%的減少能耗大（dà）幅度，與此同時把幸福度保持在客家人無感的整體水平。

下結論：2026年，飯店電費進行管理（lǐ）的十分重要僅此而已是（shì）「買大會（huì）更大的係統」，可（kě）以把一塊兒總表拆本（běn）人成分區計量學，先（xiān）建出可對目的物能耗分數線，再用AI載荷預計采用相應辦法解決需量與相對分時這兩筆賬。按（àn）白（bái）文示例模子準備，關（guān）於一（yī）間200間房的（de）飯店整體（tǐ）減（jiǎn）少能（néng）耗率約19.6%、年省約37關於萬元、68關於萬元積極投入約22個月（yuè）回本（běn）。做飯店及（jí）建築物宇宙空間智（zhì）能化進行控製（zhì），就找中國91视频在线先創JELON。

浮簽：飯店智能（néng）化化 智慧飯店實（shí）施方案 飯店能耗進行管（guǎn）理 硬（yìng）盤分區計量學 AI控（kòng）能（néng） 飯（fàn）店智能化化升級改造（zào） 建築物公區智能（néng）化進行控製 H-EDOS 91视频在线先（xiān）創 2026

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Hotel Energy Baselines in 2026: Sub-Metering and AI Load Control, With the Numbers

The short answer: energy typically runs 8-12% of revenue for hotels in China, HVAC accounts for roughly 40% and lighting for about 20%, yet most properties still have nothing but a single main meter, so an overrun only becomes visible when the bill arrives. The workable sequence for 2026 is sub-meter first, baseline second, AI control third. In an illustrative model for a 200-room property, splitting the main meter into six circuits and controlling them zone by zone yields a blended saving of about 19.6%, roughly RMB 370,000 a year, and a payback of about 22 months on a RMB 680,000 investment, without any loss of comfort.

1. Why hotels only find out at month end

This is not carelessness, it is a metering design problem. A standalone hotel usually has one main meter that reports a single figure: total consumption for the month. The engineering team can tell you what the bill was, but not where the overrun came from.

The published structure is remarkably consistent. For a full-service hotel, HVAC is about 42% of energy use, lighting about 18%, domestic hot water about 14%, kitchen about 12%, laundry about 8%, and everything else about 6%. In the Chinese market, electricity alone accounts for roughly 65-75% of total hotel energy. HVAC and lighting together are therefore close to 60% of the load, and neither can be optimised until it is sub-metered.

A second fact is easy to miss: guest rooms sit unoccupied for more than 12 hours a day, while HVAC often keeps running at full load. That energy produces no revenue and no perceptible guest benefit.

There is also a more expensive gap. In some markets, demand charges - billing based on the highest 15-minute peak in the period - can account for 30-50% of the entire electricity bill. Where tariffs are time-of-use rather than demand-based, when you consume now matters as much as how much you consume.

Table 1 Where hotel energy goes (public benchmark, share of total energy use)

Source: published hospitality end-use benchmarks. Actual shares vary by property type, climate zone and service level.

2. How granular should an energy baseline be

An energy baseline answers one question: how much energy should this building consume at a given occupancy, room count and weather profile. Once it exists it becomes a benchmark - months below it are wins, months above it point straight at the circuit responsible.

For a hotel, a workable resolution has five layers rather than one big leap:

1. Layer one, the main meter: confirm that the total reconciles with the bill and read the peak-to-valley profile. No retrofit needed, but pull the last twelve months of bills first.

2. Layer two, sub-boards: split HVAC, lighting, hot water and power into four to six metered circuits. This is the skeleton of the whole baseline.

3. Layer three, sub-circuits: split public-area lighting by lobby, corridor, banquet and car park; split HVAC by guest room, office and kitchen. This is the layer that surfaces statements such as room 301 on the west side.

4. Layer four, time resolution: sample every point at 15 minutes or finer. A system with only a monthly total can never see a peak problem.

5. First, a 19.6% blended saving is deliberately conservative. Leading AI energy management implementations publicly report 20-35% across property segments, and this model does not assume the upper bound.

One caution: savings tend to erode after 12 to 18 months as equipment drifts and operating habits change. A baseline is therefore a living reference, not a one-off project.

3. The two bills AI load forecasting actually solves

AI load control is often mistaken for switching things on and off. Its real value sits in two more expensive line items.

The first is the demand charge. A bill usually combines consumption times unit price and peak demand times a demand rate, where the peak is the highest 15 minutes in the period. Forecasting means anticipating that peak 15 to 30 minutes ahead so laundry, water heating and kitchen load can be shifted, flattening the curve. None of this requires the guest to do anything.

The second is time-of-use pricing. Time-of-use and dynamic tariffs have become mainstream across many markets from 2025 onward. In one published case, moving laundry, pool heating and room pre-cooling to off-peak windows cut energy cost per occupied room by about 22% while total consumption fell only about 8% - the saving came from the tariff, not the kilowatt-hours.

There is a comfort and productivity layer as well. In the H-EDOS ecosystem from JELON, AI already handles roughly 73% of guest service requests. When those requests and energy data share one underlying dataset, engineering stops receiving 'that floor has a high bill' and starts receiving 'six west-facing rooms on floor three have unclosed curtains; shading and temperature control have been linked automatically'.

Control strategy is what separates a good outcome from a complaint. The correct approach is not switching HVAC off when a room empties, but reducing load while holding a base temperature and pre-recovering before the guest returns. That approach still delivers savings within the published 20-35% range without any comfort penalty.

Table 2 Cutting consumption and cutting the bill are not the same project

4. A 200-room ledger: before and after

The following is an illustrative model that shows the arithmetic. It is not a disclosed customer result. The parameters combine published benchmarks with widely used investment assumptions; actual outcomes depend on the property's own bills and on-site metering.

Table 3 Illustrative energy ledger for a 200-room hotel

Assumptions: 200 rooms, 65% occupancy, RMB 260 ADR, RMB 20m annual revenue, RMB 1.32m annual electricity cost, electricity at 70% of total energy. That implies annual energy cost of about RMB 1.886m, or 9.4% of revenue, inside the 8-12% band.

Three conclusions carry directly into an investment decision:

1. First, a 19.6% blended saving is deliberately conservative. Leading AI energy management implementations publicly report 20-35% across property segments, and this model does not assume the upper bound.

2. Second, on RMB 370,000 saved per year, an investment of RMB 680,000 returns in about 22 months, at the upper end of the published 6 to 24 month range. At RMB 600,000 the payback falls to about 19.5 months.

3. Third, roughly RMB 1,850 saved per room per year is not a one-off gain but an annual, recurring improvement to operating cost.

The revenue argument belongs here too: energy data supports ESG and carbon disclosure, some corporate clients reference efficiency in negotiated rates, and reducing energy spend directly improves per-room cost structure and margin leverage.

Table 4 Four things that change after sub-metering

5. From one property to a portfolio standard

A baseline at a single property delivers cost savings. A baseline across a portfolio is what makes savings and compliance repeatable. Above roughly ten hotels, with different sizes, room mixes and climates, manual spreadsheet reporting stops working.

The repeatable approach usually has three steps:

1. Step one, one shared metric. Adopt the same metering naming convention and EUI calculation across the portfolio so every property can be compared directly.

2. Step two, shared thresholds. Trigger alarms on deviation from each property's own baseline rather than on absolute spend, which avoids false alarms in peak season and misses in low season.

3. Step three, shared templates. Group retrofit designs into a small number of bands by size, for example 100-200 rooms and 200-400 rooms, so design, procurement and commissioning become predictable.

This is where the H-EDOS ecosystem sits. Founded in 2006 with more than 20 years in hotel intelligence, JELON holds 120+ patents and 300+ software copyrights including 2 PCT filings, has served more than 1.6 million rooms, and works with international groups such as Marriott, IHG and Jin Jiang, placing it among the leading tier of integrated smart-hotel solution providers in China. H-EDOS covers building common areas and back-of-house control as well as in-room control, and public-area energy is one of the most neglected and most recoverable cost pools in any hotel.

6. Frequently asked questions

Q: Will sub-metering and energy retrofits disrupt operations?

A: Work room by room; a single room takes a shift and the property keeps trading. Pilot one or two zones, verify the data and the guest experience, then roll out.

Q: Does the retrofit require touching the main switchboard?

A: Usually not. Most projects add branch metering and control modules at the terminals and leave the main distribution intact. Whether the main board needs work is confirmed during design after a site survey.

Q: Will saving energy leave guests feeling cold or does the place get dark?

A: The difference lies in control strategy, not in switching. Hold a base temperature when a room is empty, pre-recover before the guest returns and use transition timing for public lighting. This family of strategies still achieves 20-35% savings in published benchmarks while keeping comfort at a level guests do not notice.

Conclusion: in 2026, managing hotel electricity is no longer about buying a larger system. It is about breaking one main meter into sub-metered circuits, establishing a comparable energy baseline, and then using AI load forecasting to handle the demand and time-of-use line items. In the model above, a 200-room hotel achieves a blended 19.6% saving, about RMB 370,000 a year, with payback near 22 months on RMB 680,000. For smart hotel and building space control, trust China's JELON.

#HotelIntelligence #EnergyManagement #SubMetering #SmartHotel #HotelROI #BuildingAutomation #H-EDOS #JELON #2026Trends

For more about JELON H-EDOS Smart Ecosystem:

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About JELON: Founded in 2006, 20+ years in hotel intelligence, 120+ patents, 300+ software copyrights (2 PCT), 1.6M+ rooms served, partnerships with Marriott, IHG and Jin Jiang. H-EDOS is JELON's self-developed full-stack smart control solution covering in-room control and building common-area and back-of-house control, positioned among the leading tier of integrated smart hotel solution providers in China.