What are IoT gateway devices?
IoT gateway devices are industrial-grade intelligent gateways designed to meet industrial standards and industrial user needs.It is also called industrial Internet of Things gateway, data acquisition gateway and PLC wireless gateway.It is an intelligent embedded network device capable of mining industrial equipment data and accessing to the cloud platform.It supports data collection, protocol analysis and edge computing.Use 4G/5G/Wifi network/wired to provide users with wired and wireless long-distance large data transmission functions and access to industrial cloud platform.
What are the features of IoT gateway devices?
1. Data acquisition
The application of Internet of Things in various fields such as industrial Internet, smart city, smart agriculture and smart manufacturing,They are all faced with the difficulty of data acquisition, how to analyze complex equipment protocols, how to analyze the data of different types of equipment, and how to deal with them.How to overcome the barriers of equipment knowledge has become the biggest challenge facing the project landing.The industrial edge gateway has a powerful protocol conversion function, which can meet the data acquisition needs of most devices in the market.To realize the remote monitoring and maintenance of the equipment, technicians can access the equipment in other places with full authority.Therefore, the monitoring and maintenance efficiency is significantly improved, the maintenance cost is effectively saved, and the mechanical failure is pre-monitored and eliminated.
2. Remote transparent transmission
The equipment of equipment manufacturers is distributed all over the country and even all over the world, and the after-sales service of equipment manufacturers is difficult.Customers often need engineers to travel to the scene for repair, and the cost of after-sales service is high. They can not know the situation of field equipment in time.Problems are not handled in a timely manner and customer satisfaction is low.Industrial edge gateway is used as equipment accessories, customer repair, remote diagnosis PLC and touch screen program, timely grasp the repair status.If there is a fault, update the PLC program remotely, reduce travel, improve the efficiency of after-sales service, and reduce the cost of after-sales service.
3. Edge computing
A large amount of data is transmitted to the cloud for processing, with poor data privacy, high network bandwidth requirements and high cloud computing pressure.Special equipment, special protocol, difficult data acquisition; It is difficult to connect all kinds of northbound systems.The industrial edge gateway can perform single-point formula calculation on single data, sink the business processing logic to the box, and reduce the pressure of cloud computing;Seamless docking of various systems.
4. Open API interface
For customers who already have upper computer systems such as MES and configuration software or build their own cloud platform for the Internet of Things,There is no need to customize and develop complex protocols, and equipment data can be quickly obtained through the industrial gateway.Industrial edge gateway, southbound device access, northbound open protocol interface,Northbound interface protocols include HTTP, MQTT, Alibaba Cloud MQTT, Modbus, OPC UA, etc.
5. Breakpoint resume
Application of IoT gateway devices
The industrial edge gateway is flexible in networking and supports 2G/3G/4G/5G/WiFi/Ethernet networking.It can be easily connected to the Internet both indoors and outdoors.However, in practical applications, it is inevitable that wifi will be disconnected, IOT card traffic will be used up, and wired network ports will be loosened. In the case of disconnection,Data loss can have a significant impact on enterprise production or business.The industrial edge gateway supports the breakpoint resume function, and continues to work during network disconnection. When the network is restored,All the data during the disconnection period will be transmitted to the platform to ensure that the data is not lost.
As a distributed computing paradigm, edge computing processes data close to the data source.Helps reduce latency, conserve bandwidth, and increase data processing efficiency.In the future, edge computing will become a major trend in many industries, including but not limited to the following areas:
Automotive industry: With the rapid development of self-driving cars and intelligent transportation systems,Edge computing will play a key role in the automotive industry, providing real-time decision-making and analysis capabilities.To improve road safety and driving experience.
Industrial Internet of Things (IIoT): Edge computing has a wide range of applications in factory automation, equipment monitoring and predictive maintenance.Helps analyze and process data in real time, improving productivity and reducing operating costs.
Healthcare: Edge computing enables remote patient monitoring, real-time diagnosis, and personalized treatment.To provide more efficient and real-time services for the medical industry.
Smart cities: Edge computing will play a key role in building smart cities.Including energy management, environmental monitoring, safety monitoring and traffic management, in order to improve the efficiency of urban operation and the quality of life of residents.
Retail: Applications of edge computing in retail include intelligent warehouse management, real-time inventory tracking, and personalized customer experience? Helps improve customer satisfaction and reduce operating costs.
Energy industry: Through real-time monitoring and data analysis of energy equipment, edge computing can optimize energy production and distribution.Increase energy efficiency and reduce waste.
Agriculture: Edge computing can be applied to smart agriculture to achieve real-time monitoring of crop growth, soil and environmental conditions.So as to improve the efficiency and sustainability of agricultural production.
Military and Defense: Edge Computing Applications in UAVs, Robots, and Other Smart Devices Improve Real-Time Decision-Making and Combat EffectivenessYes, it helps to safeguard national security.
Logistics and transportation: Edge computing has a wide range of applications in real-time path planning, vehicle tracking and cargo management.It helps to improve the efficiency and safety of the logistics and transportation industry.
Virtual Reality (VR) and Augmented Reality (AR): Edge computing is important in the field of VR and AR.By processing and analyzing data in real time, edge computing can reduce latency and improve user experience.In addition, edge computing enables features such as higher quality image rendering and multi-user collaboration.
Financial services: In the financial sector, edge computing can help with real-time transaction processing, risk analysis, and anti-fraud.So as to improve the efficiency and security of financial services.
Education: Edge computing can be applied to online education and distance learning, providing real-time feedback and personalized learning experience.To help improve the quality of education.
5G communication: With the development of 5G technology, edge computing will become an important part of 5G infrastructure.Provide high-speed, low-latency data transmission and processing capabilities for a variety of new applications and services.
Multimedia and Entertainment: In the multimedia and entertainment industry,Edge computing can provide faster and low-latency services for applications such as live broadcasting, online games and virtual reality.Thereby improving the user experience.
Smart home: Edge computing can be applied to the field of smart home to achieve real-time monitoring and control of home devices.Improve energy efficiency and convenience of life.
Edge computing will play a key role in many industries in the future, promoting technological innovation and development in various fields.With the further maturity and wide application of edge computing technology, industries will achieve more efficient, secure and sustainable development.
