Platininis Sąsaja · 2023
Epichust Išmanioji cecho valdymo platforma
- Platininis apdovanojimas A' Design Award 2023 in Sąsaja
- CLIENT: EpicHust Technology (Wuhan) Co., Ltd.
- Estimated Number of Design Views: 3,083,625
- Verification code F8F6F1214D · Verify this award
Colors
About Epichust Išmanioji cecho valdymo platforma
Epichust – tai išmanioji cecho valdymo platforma, skirta pramoninėms gamybos linijoms. Sąsaja gamybos procesą pateikia keturiuose rodiniuose: planavimo, logistikos, užsakymų atsekamumo ir įrangos. Kiekvienas rodinys turi savo paskirtį, o perjungimas tarp rodinių yra sklandus. Atskiros gamybos linijos vaizduojamos trimačiais modeliais, todėl sudėtingus rodiklius tampa lengviau perskaityti. Stebėjimas realiuoju laiku leidžia matyti gamybos būseną ir padeda naudotojams aptikti problemas bei greitai priimti sprendimus. Ekrano išdėstymas parengtas 1920 x 1080 pikselių raiška.
About the Platininis apdovanojimas A' Design Award
Epichust Išmanioji cecho valdymo platforma laimėjo Platininį apdovanojimą A' Design Award, itin prestižinį pripažinimą, skiriamą tikrai išskirtiniams, elegantiškiems ir didingiems dizainams. Platinos laureatai yra kūrybos stebuklai, intelektinio kūrybiškumo ribų liudijimas ir parodo neprilygstamą savo kūrėjų profesionalumą bei genialumą. Tikimasi, kad šie dizainai bus garsiausi kūriniai, apibrėžiantys epochos estetiką, prisidedantys prie visuomenės gerovės ir plečiantys meno, mokslo, dizaino ir technologijų ribas. Epichust Išmanioji cecho valdymo platforma rodo transcendentinį tobulumo lygį ir naudingomis savybėmis daro pasaulį geresnį. Epichust Išmanioji cecho valdymo platforma yra Platininį apdovanojimą A' Design Award laimėjęs kūrinys, pažadinantis troškimus, įkvepiantis, džiuginantis ir sukeliantis didelį džiaugsmą.
Press Kit
- Unique Properties
- The product provides users with a four-level operation visualization system, which can help users solve problems of opaque production process and reduce production risk. This product has 4 views: planning, logistics and order traceability, and device, with each level of view having a different presentation focus and a smooth switching experience. In addition, we visualize each specific production line to bring users a comprehensive efficiency and experience improvement.
- Dimensions & Packaging
- 1920 px x 1080 px
- Tags
- IoT, Workshop operation, System Design, Multilevel visualization, AI
- Production Technology
- Through 3D modeling, the production process, logistics process, and production line workstations are simulated and analyzed. In order to facilitate the user's operation, the product has considered the design of the interface in all aspects, including the operation mode, interaction mode, and operation flow. In terms of visual design, attention is paid to color matching to ensure the overall effect of the interface is beautiful and comfortable. In terms of chart visualization, attention is paid to data charts that are intuitive, clear and easy to understand.
- Design Challenge
- Workshop production is an extremely complex and large content process, and users often need to monitor a large number of different types of data panels, when a reasonable classification and page logic focus is particularly important.This product has 4 views: planning, logistics and order traceability, and device, with each level of view having a different presentation focus and a smooth switching experience. In addition, we visualize each specific production line to bring users a comprehensive efficiency and experience improvement.
- Research
- The product aims to achieve controllable and visible production process. Through multilevel visualization, this product can monitor the status of the production process in real time, helping users to understand the problems in the production process and make quick decisions, thus improving production efficiency. The transparency of the entire production process can also help users to more accurately assess the use of resources in the production process, thus improving production efficiency and quality and laying a solid foundation for long-term corporate development.
- Inspiration
- EpicHust smart workshop operation platform is an intelligent production line operation platform with AI and IoT technology as the cornerstone. In this platform, users can further split the production view into multiple views such as planning, logistics, order execution, equipment, etc., providing clear expressions for the presentation of complex indicators. At the same time, the system can realize intelligent scheduling based on production process information and improve the efficiency of closed loop from problem discovery to solution.
- Project Duration
- The project started in November, 2022 in Beijing and finished in February, 2023 in Beijing.
- Operation Flow
- The product reasonably disassembles the production process according to business logic and presents the production process in four levels of content. Users can view the overall production situation in the overview view and focus on different production stages in 4 views. Each level of view having a different presentation focus and a smooth switching experience. In addition, we visualize each specific production line to bring users a comprehensive efficiency and experience improvement.
- Patents
- Copyrights belong to Fourth Paradigm (Beijing) Data & Technology Co., Ltd., 2023.
- Image Credits
- Image #1 : Creator (Design Director) Yun Xu, (Design Manager) Wei Wang, (Designer) Zhaojun Liang, Yuxuan Wang, Mian Chi, Production Operation Overview, 2023
Image #2 : Creator (Design Director) Yun Xu, (Design Manager) Wei Wang, (Designer) Zhaojun Liang, Yuxuan Wang, Mian Chi, Order tracking page, 2023
Image #3 : Creator (Design Director) Yun Xu, (Design Manager) Wei Wang, (Designer) Zhaojun Liang, Yuxuan Wang, Mian Chi, Production line visualization, 2023
Image #4 : Creator (Design Director) Yun Xu, (Design Manager) Wei Wang, (Designer) Zhaojun Liang, Yuxuan Wang, Mian Chi, Visualization of production plan, 2023
Image #5 : Creator (Design Director) Yun Xu, (Design Manager) Wei Wang, (Designer) Zhaojun Liang, Yuxuan Wang, Mian Chi, Device collaboration page, 2023
