Home > Article > Technology peripherals > Edge computing small devices also show "great wisdom"! -IOTE Internet of Things Exhibition
With the rise of digitalization in various industries in recent years, edge computing, with its performance advantages such as low latency, high efficiency and instant response, is gradually becoming an important direction of the computing system, accelerating the transformation and upgrading of the digital economy
According to IDC data, cloud computing power will develop in a linear growth trend in the next few years, with a compound annual growth rate of 4.6%. In contrast, the demand for edge computing has grown exponentially, with a compound annual growth rate of 32.5%
As the demand for edge computing continues to surge, edge computing boxes, as an important edge computing device, are attracting more and more attention. Edge computing boxes usually include computing, storage, network, security and other functions. They are an important bridge connecting the cloud and terminals. They are designed to meet the needs of IoT devices and sensors for real-time data analysis, local storage, privacy protection and other needs in edge computing.
Currently, edge computing boxes have a wide range of application scenarios. They play an important role in smart cities, smart transportation, petrochemicals, smart breeding and other fields, and promote digital transformation and upgrading.
Smart City: Response Scenarios for High-altitude Object Throwing
High-altitude parabolic incidents occur frequently in cities, and they have not been effectively banned, which has always attracted much attention. This uncivilized behavior has brought great harm to society, so high-altitude throwing objects are also called "the pain hanging over the city"
As we all know, since high-altitude throwing objects mostly occur on high-altitude floors, the events last for a short time, there are few witnesses, and there is a lack of effective monitoring means, making it difficult for relevant departments to hold the throwers legally responsible.
Based on this, Taiyi IoT has created an edge computing device specially designed for high-altitude parabolic phenomena - Space Guardian G1. It is understood that Space Guardian G1 is based on AI and IoT technology, and uses deep learning algorithms to quickly and accurately identify parabolic objects, trace the entire process of high-altitude parabolic behaviors, achieve effective monitoring, evidence collection, accountability and management, and send relevant alarms The information is pushed to the management end of relevant personnel so that high-altitude parabola incidents can be dealt with immediately.
Taiyi IoT Space Guardian G1
The content that needs to be rewritten is: 2. Intelligent transportation
With the increase in the number of motor vehicles and the continuous increase in road traffic pressure, the need for real-time analysis and calculation and feedback of the results to the vehicles has become very urgent
In the field of smart transportation, especially in specific scenarios such as vehicle-road collaboration, holographic intersections, autonomous driving, and rail transit, there are a large number of heterogeneous devices connected. These devices require access management, exit management, alarm processing, and operation and maintenance processing. Edge computing can decompose and process problems, simplify complex tasks, provide cross-layer protocol conversion functions, and achieve unified and stable access and even collaborative control of different types of data. Edge computing plays an important role in the field of smart transportation
Inspur Information and Baidu Intelligent Cloud launched the first roadside in September this year. The content that needs to be rewritten is: edge computing unit RSCU. This roadside edge server uses the Baidu Zhilu OS operating system, which can use raw data such as videos and point clouds collected by roadside sensing equipment to perceive the traffic scene on the roadside around the clock to achieve real-time intelligent guidance of autonomous vehicles
The content that needs to be rewritten is: edge computing unit RSCU
3. Petrochemical Industry: Safety Production Scenario
my country's petrochemical industry is moving towards large-scale equipment, refining and chemical integration, and industrial clustering, which has brought a broad market space for edge computing in safety production scenarios in petrochemical plants
Safety is the prerequisite and foundation for high-quality development. 24-hour real-time intelligent monitoring is carried out through smart sensing equipment, which can promptly detect abnormal situations such as smoke and open flames and report risks with early warning. It also identifies risks such as abnormal personnel intrusion, gatherings, and smoking. Behavior and real-time warning, thereby optimizing the safety management system and improving management efficiency.
As a company that focuses on and is proficient in integrating machine video algorithms based on embedded edge computing with various types of terminal, edge, and cloud hardware, Palm Technology provides AI edge servers, AI edge all-in-one machines and other products, and will It is used in safety management, chemical plants and other scenarios.
Palm Technology AI edge all-in-one machine
Rewritten content: 4. Intelligent breeding
With the vigorous development of science and technology, the traditional pig breeding industry has ushered in a digital, intelligent, and unmanned development stage with the support of various intelligent technologies, and the popularity of smart breeding continues to rise. As an enterprise dedicated to the integration and innovation of edge computing infrastructure and AI visual algorithms, Xiwei Intelligence continues to develop deeply in the field of smart breeding with its edge intelligence platform, algorithm mall and edge cloud collaborative products.
On the edge side, the intelligent all-in-one machine can be quickly applied to various scenarios with its intelligent features, and uses its own edge intelligence platform CivicTurbo and high-precision artificial intelligence algorithms to collect, analyze and report on-site data to the cloud platform. . The cloud platform receives the valuable data reported by the smart all-in-one machine, integrates, analyzes and mines the data, and pushes the data to the mobile application in real time, thereby realizing a closed loop of data
More than that, there are many more application scenarios where edge computing boxes are indispensable, and their importance is indescribable. For example, the domestically produced AI edge intelligent analysis all-in-one machine developed by Interlinga can be used in smart communities, smart parks, smart construction sites, smart campuses, smart gas stations, smart factories, hazardous chemicals management, smart grids and other scenarios. Another example is Yingma Information, which caters to the needs of all scenarios and launches multi-level edge computing boxes with computing power ranging from 2T to 38T to meet the needs of fragmented scenarios for different levels of computing power hardware...
Currently, the edge computing industry is in a stage of rapid development. Technology is constantly updated and iterated, and the application scenarios of edge computing are becoming more and more extensive. Therefore, by running various applications on edge computing devices, we can increase data processing speed, strengthen data security, reduce network latency, promote the further development of the edge computing industry, and lead the next wave of informatization
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