Node-RED Industrial Digital Mining Gateway Helps Automotive Manufacturing Industry Develop

In the intelligent transformation of the automotive manufacturing industry, accurate data collection is at the heart of realizing smart manufacturing. This data not only ensures information continuity in the production process, but also serves as the basis for analysis, decision-making, and traceability in shop-floor and plant-level information systems. Therefore, an efficient data collection strategy is critical to driving automotive manufacturing intelligence.

The Importance of Edge Computing Gateways in Smart Manufacturing

In all aspects of automotive manufacturing, the complexity and real-time requirements of data collection are very high. The traditional centralized data collection model often fails to meet today’s demand for efficient, real-time, and accurate data in intelligent manufacturing. Automotive companies utilize edge computing gateways to collect data, reduce latency, improve real-time data processing, and reduce network transmission load.

Industrial Data Acquisition Gateway Helps Automotive Manufacturing Data Acquisition

EG Series Industrial Data Acquisition Gateway

3101

EG8200-1200_01 EG8200-1200_02

 

  • EG series industrial data acquisition gateway is a multi-protocol and deeply integrated Node-RED visualization programming intelligent gateway. It has strong advantages in automotive intelligent manufacturing.

 

  • The gateway can be compatible with all kinds of existing production equipment in the factory, greatly simplifying the complexity of data collection and avoiding the data disconnection problem caused by incompatible equipment protocols. It supports docking more than 99% of PLC protocols, supporting such as Siemens S7, Mitsubishi MC/FX, Omron Fins and many other private protocols. It supports general industrial protocols such as Modbus, OPC UA, etc.

 

  • With the deeply customized Node-RED data flow scheduling tool, enterprises can flexibly customize the data flow and processing logic to optimize various process parameters in the production process.

 

  • Through the field-installed sensors, the gateway can collect a variety of process parameter data, helping manufacturing enterprises to monitor the manufacturing quality of their products in real time.

 

  • It is able to locally process and analyze these massive dynamic data in real time, and make predictions and warnings through intelligent algorithms. For example, the gateway can collect real-time equipment operation data by connecting to the factory PLC. It analyzes the health status of the equipment and warns of potential failures in advance, reducing equipment downtime and improving productivity.

HMI gateway with WEB configuration function, perfect match for field IO buses

EV8010-1

 

In manufacturing data collection, not only efficient data transmission, but also data display and monitoring are required. EV series HMI gateway comes with WEB configuration function, which can perfectly match the field IO bus in depth. It can ensure data visualization and interactive operation during data acquisition.

  • The real-time data on site can be displayed through the graphical interface, and the operator can monitor the production status at any time and make timely adjustments.

 

  • HMI gateway supports local storage and network disconnection function. In the event of network problems, it can also ensure that the data will not be lost. And automatically upload the data after the network is restored, which guarantees the integrity of data collection.

Edge Computing and ICT to Meet Differentiated Needs

Automotive Manufacturing Line Data Collection

In the automotive manufacturing line, there are four types of key industrial data that need to be collected: production models and their manufacturing process data, parts logistics data, equipment operation data and vehicle manufacturing process data. These data play a crucial role in process optimization, equipment operation and maintenance, quality control, and production traceability during the manufacturing process.

Production models, their manufacturing process data and parts logistics data mainly come from MES (Manufacturing Execution System) and process information systems. Effectively transferring these data to the relevant process systems ensures that key information such as production plans, process parameters, testing standards, etc. can reach each device and station in a timely manner to ensure the smoothness and accuracy of the production process.

Equipment operating status data and product data in the manufacturing process are often generated dynamically. For example, the operating status of equipment such as voltage, current, temperature, displacement, etc., and process data such as the geometry of stamped parts, the number and position of welded joints, etc. all change continuously during production. This data is not only about production quality, but can also be used for equipment failure prediction and maintenance.

Summary

Through the industrial data acquisition gateway of IOTRouter, it helps automotive manufacturing enterprises to realize closed-loop data management throughout the process, from data acquisition, transmission, analysis to feedback. With the continuous development of edge computing technology, IOTRouter’s industrial gateway will provide smarter and more efficient solutions for automotive intelligent manufacturing, and promote the industry to a new stage of intelligence.

 

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