Alotcer industrial production applications

In all modern manufacturing processes, the collection and analysis of production and operational data of the assembly line are critical. Therefore, many industrial IoT technologies are currently working to improve the efficiency of various aspects, and the application of 5G edge computing gateways is the core of them.

Early on, point-to-point recording was usually carried out, followed by manual analysis, submission, and finally decision-making by a manager. The work of this recorder is essentially a chain, linking the various pieces of information in the production process. And through edge computing, also known as distributed computing, compared with relying entirely on cloud computing, the computer’s data storage can be closer to where it is needed. In addition, the distributed data processing method greatly reduces the device’s demand for data transmission and processing capabilities.

The most typical application mode is to use various monitoring and sensing devices to collect information in the production process, summarize and transmit it to the 5G edge computing gateway, and use high-performance processors to preprocess, analyze, filter, judge, and then transmit a large amount of data to the industrial cloud platform through the network interface to ensure timely and efficient production information, and meet the monitoring and decision-making needs of managers.

Gigabit Router AR7091 5G Edge Computing Gateway

AR7091 Gigabit Router 5G Edge Computing Gateway

Benefits of using 5G edge computing gateways for industrial production:
1. Through remote monitoring and maintenance of equipment, technicians can access equipment in other locations at different locations and with different permissions. This greatly improves the monitoring and maintenance efficiency of equipment, saves maintenance costs, and monitors mechanical failures in advance. And exclusions;

2. Using the edge computing mode (also known as atomization computing or cloud computing), it can provide decision-making suggestions for inventory, quality control, production line optimization, etc. through artificial intelligence algorithms that analyze data;

3. Use a large amount of data collection and analysis to carry out a digital twin simulation of the manufacturing process. This will enable you to find out the life cycle of equipment and parts, perform predictive maintenance, or provide a large number of simulation cases for new employees.

In fact, the realization of the Industrial Internet of Things is not the ultimate goal. With the help of 5G edge computing gateways, the Industrial Internet of Things will be realized to improve the precision and efficiency of the production process. Make use of the advantages of the Industrial Internet of Things, break the information island in the traditional production process, and promote the improvement of production efficiency and quality.

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