Source: Edge Computing Community Original Author: Bian Xiaoyuan Edge AI enables devices to make faster and smarter decisions without needing to connect to the cloud or remote data centers. Edge AI is the implementation of artificial intelligence in edge computing environments, allowing computation to occur near where data is generated rather than in centralized cloud … Read more
Advanced Manufacturing Industry · Introduction On July 25, at the 2023 Caos Digital Ecology Conference, the “Annual Trend White Paper on the Development of China’s Industrial Internet Technology (2023)” was released, providing an analysis of the top ten trends in the industrial internet sector, including edge computing, industrial mechanism models, industrial big data, and digital … Read more
PleaseFollowThe Video Account Learn More About Smart Manufacturing Information In the past few years, there has been a surge in the construction and application of Industrial Internet of Things (IIoT) in both traditional industries and emerging fields. Industrial IoT solutions integrate machines, cloud computing, analytics, and personnel to enhance the efficiency and productivity of manufacturing … Read more
Edge computing integrates technologies from IT, CT, and OT fields, with MEC technology being a representative of the CT field, primarily addressing network connectivity issues. However, in addition to this, edge computing also involves technologies from the IT and OT domains, and MEC technology must work in conjunction with these technologies to enable the practical … Read more
This article provides an overview. Traditional manufacturing is facing severe challenges in digital transformation due to rising demand and industry technological upgrades. Especially after the pandemic, uncertainties in personnel movement and epidemic control have made equipment debugging and maintenance for system integrators and operational enterprises even more challenging. More and more factories and equipment require … Read more
The emergence of edge computing in the drilling field enables us to tackle complex challenges by combining IoT sensors, artificial intelligence, and self-learning models. By utilizing edge computing and analytics, we achieve real-time drilling analysis and develop analytical models using vast amounts of data. Original content from Oil Circle, WeChat account: oilsns Translated by | … Read more
(Selected Articles from the Journal of Command and Control) Zhang Lanyong, Wang Menglin. Joint optimization algorithm of edge computing computing offloading and computing resource allocation [J]. Journal of Command and Control, 2023, 9 (3): 323-334 ZHANG L Y, WANG M L. Joint optimization algorithm of edge computing computing offloading and computing resource allocation[J]. Journal of … Read more
1 Introduction In recent years, with the continuous increase in security needs, the number of surveillance cameras has exploded. According to relevant predictions, by 2023, video streams will account for 80% of total internet traffic. The method of protection through video surveillance will play an important role in the security field. At the same time, … Read more
Introduction With the advent of the 5G era, to better support high-density, high-bandwidth, and low-latency business scenarios, the industry proposes to shift from the “core computing” model to the edge computing model, solving network transmission problems nearby. The promotion of the edge computing model urgently requires changes at the infrastructure level—edge data centers have become … Read more
In the context of the integration of technologies such as the Internet of Things, 5G, AI, and big data, smart edge computing has rapidly transitioned from concept to reality. Especially since the outbreak of the COVID-19 pandemic, an increasing number of network applications, such as video surveillance, smart retail, smart manufacturing, and smart cities, have … Read more