Wonder Heat Supply Sesebelisoa se ka Sehloohong: Sethala sa Leru sa Phano ea Mocheso ka Wuxi Hundun Energy Technology Co., Ltd.

Moralo oa Wonder Heat Supply Sesebelisoa se ka Sehloohong: Sethala sa Leru sa Phano ea Mocheso ka Wuxi Hundun Energy Technology Co., Ltd. ke mohlodi oa khau e hlomphehang haholo ya 2023 Moputso oa Boronse oa A' Design Award Mokhahleong oa Tlhodisano oa Moralo wa Theknoloji ya Tlhahisoleseding.

BoronseTheknoloji ya Tlhahisoleseding· 2023

Wonder Heat Supply Sesebelisoa se ka Sehloohong: Sethala sa Leru sa Phano ea Mocheso

ka Wuxi Hundun Energy Technology Co., Ltd.

Moreki: Wuxi Hundun Energy Technology Co., Ltd.

Mohlodi oa Moputso oa Boronse oa A' Design Award Mokhahleong oa Theknoloji ya Tlhahisoleseding

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Mohlodi oa Khau ea Netefaditsweng

Netefatsa Boemo ba Khau bakeng sa #142452

Etela Sebaka Sheba ho A' Design Award Tokollo ya Boraditaba Baeche ya Moputso

Mebala

Moralo

Mabapi le Wonder Heat Supply Sesebelisoa se ka Sehloohong: Sethala sa Leru sa Phano ea Mocheso

Mongolo oa Buka: Wonder Heat Supply ke sethala se bohlale sa leru sa phano ea mocheso se hlophisitsoeng bakeng sa lik'hamphani tsa toropo tse tsamaisang mocheso le moea. Sethala sena se kopanya Internet of Things, theknoloji ea "digital twin" le li-algorithm tse bohlale ho haha mohlala oa marang-rang a mocheso o tsoang ho data e kholo le kabo ea marang-rang a liphaephe. Tlhoko ea mocheso e boleloa esale pele le ho laoloa ka boitsebiso, e le hore matla a fane a arolelanoe ho latela tlhoko ea sebele ea sebaka se seng le se seng. Sistimi ena e tšehetsa lisebelisoa tse sa etselitsoeng motho ka mong 'me e fetola litaba tse bonts'oang ho latela mokhoa oa lisebelisoa tse fapaneng.

Kamohelo

Mabapi le Moputso oa Boronse oa A' Design Award

Wonder Heat Supply Sesebelisoa se ka Sehloohong: Sethala sa Leru sa Phano ea Mocheso ke mohapi oa Moputso oa Boronse oa A' Design Award, kananelo e hlomphehang haholo e fuoang meralo e ikhethang e tsejoang ka boqapi, bohlale ba ho qapa le bohlale. Bahapi ba Boronse ke lintho tse nang le bokhoni ka ho felletseng le boqapi bo hlollang tse tiisang boiphihlelo bo bongata, mohopolo le bokhoni ba ho iphumana ba baqapi ba tsona. Wonder Heat Supply Sesebelisoa se ka Sehloohong: Sethala sa Leru sa Phano ea Mocheso e lebelletsoe ho ba ntho e hlomphuoang haholo, e ratoang le e ratehang, e nang le boprofeshenale bo bonahalang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Boronse oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa bonong, mahlaleng, moralong le theknolojing mme o hlahella ka ho tsepamisa maikutlo lintlheng tse nyenyane. Wonder Heat Supply Sesebelisoa se ka Sehloohong: Sethala sa Leru sa Phano ea Mocheso e kutloisisa litlhoko hantle, e ama litakatso, e hapa maikutlo mme e tsosa takatso ea ho tseba.

Ka Mora Moralo

Sete ya Boraditaba

Litlhaku, ditho tsa sehlopha le lintlha tsa botekgeniki tse fanoeng ke moetsi wa moralo.

Boleng bo Ikhethang: This is a standardized smart heat supply cloud platform designed on the basis of IoT, digital twin, and intelligent algorithms, which is specially designed for city HVAC companies. Being a self-aware, self-analyzing, self-regulating and breathing heating system, it can establish a heat supply network model grounded on big data and pipeline networks distribution to predict and regulate the heat supply of cities.
Lithegi: Heat supply cloud platform for city, Heat supply load simulation, Self awareness, Self regulation, Digital twin
Theknoloji ya Tlhahiso: It adopts clear policy instruction, simple visual language and full function setting, and designs visual data analysis system and a UI interface designed for managers, facilitating the access of users, remote regulation and dispatching. The system reduces the parameter requirements for hardware devices and adopts non customized configuration, lowering the hardware threshold for access and self adjusting the screen effect and display content based on different hardware configurations of users.
Phephetso ya Moralo: A key issue in the research is how to give AI the ability of self-analysis and self-control to energy parameters. With algorithmic strategy of the energy model, digital twin and actual operation data, the design team gives AI the ability to self-adjust parameters and optimize energy efficiency. The optimal solution for heat network management saves energy by 10-15 percent, thus reducing carbon emissions. It helps generate more economic and socially environmental benefits of enterprises.
Dipatlisiso: City complexes contain more functional areas of buildings. Compared with the HVAC systems of other single buildings, city HVAC systems need to allocate energy properly based on the actual demand of each area. The traditional mode of manual management and coordination has gradually become unsuitable. Thus, it has become the preferred solution of the design team with the help of AI, IOT and digital twin for collaborative and accurate control.
Kgothaletso: As one of the most energy-consuming systems in the daily lives of residents, problems such as uneven energy distribution and low energy utilization can be found in city HVAC systems, while the platform is designed to solve the above problems. Through the combination of IoT, digital twin and intelligent algorithm, the design team has given AI a new model of self-awareness, self-analysis and self-regulation of unmanned control, thus helping city HVAC systems to save energy and reduce emissions.
Nako ya Projeke: The product was developed in Wuxi, Jiangsu Province in March 2022 and also launched here in August 2022
Tsamaiso ya Mosebetsi: With the simplification of operation of system levels, users can freely switch between different animation styles and seasonal scenes based on their preferences, making it user-friendly, 10 industry professionals can use it smoothly when tested for the first time, without training and teaching. Its built-in simulation and load prediction functions can obtain real-time data such as weather and geographic location from the meteorological system and geographic space for real-time display.
Litho tsa Sehlopha: Jun Xu, Jue Wang, Lan Zhu and Guiying Fu