Merge branch 'master' into IamgePrePullDoc

blog/release-v1.10/index.mdx

@@ -4,9 +4,9 @@ authors:
 categories:
 - General
 - Announcements
-date: 2023-08-25
+date: 2022-03-07
 draft: false
-lastmod: 2023-08-25
+lastmod: 2022-03-07
 summary: KubeEdge v1.10 is live!
 tags:
 - KubeEdge

blog/release-v1.11/index.mdx

@@ -4,9 +4,9 @@ authors:
 categories:
 - General
 - Announcements
-date: 2023-10-25
+date: 2022-06-21
 draft: false
-lastmod: 2023-10-25
+lastmod: 2022-06-21
 summary: KubeEdge v1.11 is live!
 tags:
 - KubeEdge

blog/release-v1.12/index.mdx

@@ -5,9 +5,9 @@ categories:
 - General
 - Announcements
 - Releases
-date: 2023-05-15
+date: 2022-09-29
 draft: false
-lastmod: 2023-05-15
+lastmod: 2022-09-29
 summary: KubeEdge v1.12 is live!
 tags:
 - KubeEdge

blog/release-v1.13/index.mdx

@@ -4,9 +4,9 @@ authors:
 categories:
 - General
 - Announcements
-date: 2023-01-23
+date: 2023-01-18
 draft: false
-lastmod: 2023-01-23
+lastmod: 2023-01-18
 summary: KubeEdge v1.13 is live! 
 tags:
 - KubeEdge

blog/release-v1.14/index.mdx

@@ -4,9 +4,9 @@ authors:
 categories:
 - General
 - Announcements  
-date: 2023-05-15
+date: 2023-07-01
 draft: false
-lastmod: 2023-05-15
+lastmod: 2023-07-01
 summary: KubeEdge v1.14 is live!
 tags:
 - KubeEdge

docusaurus.config.js

@@ -136,7 +136,7 @@ const config = {
         logo: {
           src: "img/avatar.png",
           target: "_self",
-          href: "https://kubeedge.io",
+          href: "/",
         },
         items: [
           {

i18n/zh/docusaurus-plugin-content-pages/case-studies/Raisecom-Tech/index.mdx

@@ -0,0 +1,26 @@
+---
+date: 2024-05-27
+title: 瑞斯康达科技股份有限公司
+subTitle:
+description: 采用KubeEdge作为智能监控方案实施的重要组成部分，有效完成了对工厂安全的AI监控，减少了安全事故的发生，提高了工厂的生产效率。
+tags:
+  - 用户案例
+---
+
+# 基于KubeEdge的智能监控方案
+
+## 挑战
+
+保障工业生产安全是瑞斯康达制造工厂的重要需求，传统工人的生产安全检测方式采用人工方式，速度慢、效率低，工人不遵守安全要求的情况仍时有发生，且容易被忽视，具有很大的安全隐患，影响工厂的生产效率。
+
+## 解决方案
+
+开发基于人工智能算法的工业智能监控应用，以取代人工监控。但仅有智能监控应用是不够的，智能边缘应用的部署和管理、云端训练与边缘推理的协同等新问题也随之出现，成为该解决方案在工业生产环境中大规模应用的瓶颈。
+
+中国电信研究院将KubeEdge作为智能监控方案实施的重要组成部分，帮助瑞斯康达科技解决该问题。中国电信研究院架构师Xiaohou Shi完成了该方案的设计。该案例通过工业视觉应用，结合深度学习算法，实时监控工厂工人的安全状态。引入KubeEdge作为边缘计算平台，用于管理边缘设备和智能监控应用的运行环境。通过KubeEdge，可以在云端对监控模型进行训练，并自动部署到边缘节点进行推理执行，提高运营效率，降低运维成本。
+
+## 优势
+
+在此应用场景中，KubeEdge完成了边缘应用的统一管理，同时KubeEdge还可以充分利用云边协同的优势，借助KubeEdge作为边缘计算平台，有效完成了对工厂安全的AI监控，减少了安全事故的发生，提高了工厂的生产效率。
+
+基于此成功案例，未来将在KubeEdge上部署更多深度学习算法，解决边缘计算方面的问题，未来也将与KubeEdge开展更多场景化工业智能应用的合作。

i18n/zh/docusaurus-plugin-content-pages/case-studies/XingHai/index.mdx

@@ -0,0 +1,30 @@
+---
+date: 2024-05-27
+title: 兴海物联科技有限公司
+subTitle:
+description: 兴海物联采用KubeEdge构建了云边端协同的智慧校园，大幅提升了校园管理效率。
+tags:
+  - 用户案例
+---
+
+# 基于KubeEdge构建智慧校园
+
+## 挑战
+
+兴海物联是一家利用建筑物联网平台、智能硬件、人工智能等技术，提供智慧楼宇综合解决方案的物联网企业，是中海物业智慧校园标准的制定者和践行者，是华为智慧校园解决方案核心全链条服务商。
+
+该公司服务客户遍及中国及全球80个主要城市，已交付项目741个，总建筑面积超过1.56亿平方米，业务涵盖高端住宅、商业综合体、超级写字楼、政府物业、工业园区等多种建筑类型。
+
+近年来，随着业务的拓展和园区业主对服务品质要求的不断提升，兴海物联致力于利用边缘计算和物联网技术构建可持续发展的智慧校园，提高园区运营和管理效率。
+
+## 解决方案
+
+如今兴海物联的服务领域越来越广泛，因此其解决方案需要具备可移植性和可复制性，需要保证数据的实时处理和安全的存储。KubeEdge以云原生开发和边云协同为设计理念，已成为兴海物联打造智慧校园不可或缺的一部分。
+
+- 容器镜像一次构建，随处运行，有效降低新建园区部署运维复杂度。
+- 边云协同使数据在边缘处理，确保实时性和安全性，并降低网络带宽成本。
+- KubeEdge 可以轻松添加硬件，并支持常见协议。无需二次开发。
+
+## 优势
+
+兴海物联基于KubeEdge和自有兴海物联云平台，构建了云边端协同的智慧校园，大幅提升了校园管理效率。在AI的助力下，近30%的重复性工作实现了自动化。未来，兴海物联还将继续与KubeEdge合作，推出基于KubeEdge的智慧校园解决方案。

i18n/zh/docusaurus-plugin-content-pages/case-studies/jingying/index.mdx

@@ -0,0 +1,30 @@
+---
+date: 2024-05-28
+title: 精英数智科技股份有限公司
+subTitle:
+description: 精英数智科技与KubeEdge合作开发矿脑解决方案，覆盖云、边、端，让煤炭生产更安全。
+tags:
+  - 解决方案
+---
+
+# 基于KubeEdge的矿山大脑解决方案
+
+## 商业背景
+
+精英数智科技有限公司专注于为煤矿及瓦斯企业提供安全监控管理解决方案，提供可靠稳定的数据采集传输、现场感知、风险预测、智能监管等解决方案，帮助企业提高生产安全性，降低管理成本。
+精英数智科技利用AIoT和云边端协同，构建高危行业安全生产智能感知网络，推动新一代信息技术与安全生产的深度融合。
+
+## 解决方案
+
+精英数智科技有限公司与KubeEdge合作开发了矿山大脑解决方案，该方案覆盖云、边、端，让煤炭生产更安全。该方案具有以下优势：
+
+- KubeEdge兼容Kubernetes生态，支持Kubernetes应用平滑迁移到KubeEdge，大幅提升部署效率。
+- AI模型在云端训练，模型推理在边缘进行，大大提高资源利用率和推理速度。
+- 即使边缘节点与云端断开连接，服务实例也能自动恢复并正常运行，使系统更加可靠。
+- 边缘智能、强大的计算能力以及对海量边缘设备的管理，使得多种场景的精准音视频识别成为可能。
+精英数智科技有限公司在多年积累的基础上，具备了丰富的AI场景能力和云边端运维能力，有效保障了服务的可靠和识别的精准。
+
+## 优势
+
+山西煤矿企业通过矿山大脑解决方案，已实现千余座矿井的智能化开采，云端下发的AI分析算法实时风险评估，识别率高达98%，远程IT基础设施集中监控降低运维成本65%，全栈IT设备集成部署降低部署成本75%，
+矿山大脑助力煤炭行业安全生产，最终实现全行业智能化升级。精英数智科技有限公司将继续与KubeEdge携手，利用AI、IoT、大数据等技术，为煤炭行业安全生产推出全方位的智能边缘解决方案。

src/components/supporters/index.js

@@ -207,6 +207,12 @@ const supportList = [
     name: "SF Technology",
     img_src: "img/supporters/sf-tech.png",
     external_link: "https://www.sf-tech.com.cn/",
+  },
+
+  {
+    name: "LookCan Ai",
+    img_src: "img/supporters/lookcan-logo.svg", 
+    external_link: "https://www.lookcan.ai/",
   }
 ];
 

src/pages/case-studies/Raisecom-Tech/index.mdx

@@ -0,0 +1,24 @@
+---
+date: 2024-05-27
+title: Raisecom Technology CO.,Ltd
+subTitle:
+description: Using KubeEdge as an important part of the implementation of the intelligent monitoring solution effectively completes the AI monitoring of factory safety, reduces the occurrence of safety accidents, and improves the production efficiency of the factory.
+
+tags:
+  - UserCase
+---
+
+# Intelligent monitoring solution based on KubeEdge
+
+## Challenge
+It is an important demand for the manufactory of Raisecom Technology to ensure the industrial production safety. Traditional workers' production safety was detected manually, which was slow and inefficient. The situation that workers did not obey the safety requirements still happened, and it could be ignored sometimes, which could generate great safety risks and affect the production efficiency of the factory.
+
+## Solution
+An industrial intelligent monitoring application with AI algorithms was developed to replace the manual method. An intelligent application alone was not enough and new problems arose such as the deployment and management of the intelligent edge application and the collaboration between training on the cloud and reasoning on the edge, which could become a bottleneck for the largescale application of the solution in the industrial production environment.
+
+China Telecom Research Institute used KubeEdge as an important part of the implementation of the intelligent monitoring solution to help Raisecom Technology to solve the problem. Architect Xiaohou Shi from China Telecom Research Institute completed the design of this solution. In this case, the safety status of factory workers was monitored by the industrial vision application in real time with the deep learning algorithm. KubeEdge was introduced as an edge computing platform for the management of the edge devices and the running environment of the intelligent monitoring application. The monitoring model could be trained on the cloud and deployed to the edge nodes for reasoning execution automatically via KubeEdge, which could improve the efficiency of the operation and reduce the cost of the maintenance.
+
+## Impact
+In this application scenario, KubeEdge completed the unified management of edge applications. KubeEdge could also make full use of the advantages of the collaboration of the cloud and edge. With the help of KubeEdge as the edge computing platform, the monitoring on safety of the manufactory with AI was completed effectively, which reduced the occurrence of safety accidents and improved the production efficiency of the manufactory.
+
+Based on this successful case, more deep learning algorithm will be deployed on KubeEdge to handle problems on edge computing. More cooperation about scenario-faced industrial intelligent application with KubeEdge will be carried out in the future.

src/pages/case-studies/XingHai/index.mdx

@@ -0,0 +1,30 @@
+---
+date: 2024-05-27
+title: XingHai IoT
+subTitle:
+description: Xinghai IoT uses KubeEdge to build a smart campus with cloud-edge-device collaboration, which greatly improves campus management efficiency.
+tags:
+  - UserCase
+---
+
+# Building smart campuses based on KubeEdge
+
+## Challenge
+
+Xinghai IoT is an IoT company that provides comprehensive smart building solutions by leveraging a construction IoT platform, intelligent hardware, and AI. It is a creator and practitioner of smart campus standards for China Overseas Property Management and a core full-chain service provider of smart campus solutions from Huawei.
+
+The company serves its customers in 80 major cities in China and around the world. It has delivered 741 projects, covering more than 156 million square meters. Its business covers a diverse range of building types, such as high-end residential buildings, commercial complexes, super office buildings, government properties, and industrial parks.
+
+In recent years, as its business expands and occupant demands for service quality grow, Xinghai IoT has been committed to using edge computing and IoT to build sustainable smart campuses, improving efficiency for campus operations and management.
+
+## Highlights
+
+Xinghai IoT now offers services in a wide range of areas. Therefore, its solutions should be portable and replicable and need to ensure real-time data processing and secure data storage. KubeEdge, with services designed for cloud native development and edge-cloud synergy, has become an indispensable part of Xinghai IoT for building smart campuses.
+
+- Container images are built once to run anywhere, effectively reducing the deployment and O&M complexity of new campuses.
+- Edge-cloud synergy enables data to be processed at the edge, ensuring real-time performance and security and lowering network bandwidth costs.
+- KubeEdge makes adding hardware easy and supports common protocols. No secondary development is needed.
+
+## Benefits
+
+Xinghai IoT built a smart campus with cloud-edge-device synergy based on KubeEdge and its own Xinghai IoT cloud platform, greatly improving the efficiency of campus management. With AI assistance, nearly 30% of the repetitive work is automated. In the future, Xinghai IoT will continue to collaborate with KubeEdge to launch KubeEdge-based smart campus solutions.

src/pages/case-studies/jingying/index.mdx

@@ -0,0 +1,33 @@
+---
+date: 2024-05-28
+title: Jingying Shuzhi Technology Co., Ltd
+subTitle:
+description: Jingying Shuzhi Technology Co., Ltd worked with KubeEdge to develop the Mine Brain solution, which covers the cloud, edge, and devices and makes coal production safer.
+tags:
+  - Solution
+---
+
+# Mining brain solution based on KubeEdge
+
+## Business Background
+
+Jingying Shuzhi Technology Co., Ltd focuses on providing security monitoring and management solutions for coal mining and gas enterprises. Their solutions cover reliable, stable data collection and transmission,
+on-site perception, risk prediction, and intelligent supervision to help these enterprises improve production security and reduce management costs.
+By leveraging AIoT and cloud-edge-device synergy, Jingying Shuzhi Technology Co., Ltd has built an intelligent sensing network for safe production in
+high-risk industries, promoting the in-depth integration of next-generation information technologies and safe production.
+
+## Highlights
+
+Jingying Shuzhi Technology Co., Ltd worked with KubeEdge to develop the Mine Brain solution, which covers the cloud, edge, and devices and makes coal production safer.
+This solution has the following advantages:
+
+- KubeEdge is compatible with the Kubernetes ecosystem. It allows Kubernetes applications to be smoothly migrated to KubeEdge, greatly improving deployment efficiency.
+- AI models are trained on the cloud and model inference is performed on the edge, greatly improving resource utilization and inference speed.
+- Service instances can recover automatically and run normally even if edge nodes are disconnected from the cloud, so the system is more reliable.
+- Edge intelligence, powerful computing, and management of a massive number of edge devices makes precise audio and video recognition possible for a range of different scenarios.
+With a foundation based on years of accumulated experience, Jingying Shuzhi Technology Co., Ltd has developed the ability to handle many AI scenarios and cloud-edge-device O&M, effectively ensuring reliable services and precise recognition.
+
+## Benefits
+
+Xinghai IoT built a smart campus with cloud-edge-device synergy based on KubeEdge and its own Xinghai IoT cloud platform, greatly improving the efficiency of campus management.
+With AI assistance, nearly 30% of the repetitive work is automated. In the future, Xinghai IoT will continue to collaborate with KubeEdge to launch KubeEdge-based smart campus solutions.