Shandong China Transport Logistics Equipment Group
Shandong China Transport Logistics Equipment Group

Good China Registered Mark China Transport zhufeng zhuitao zhuiyun dazhongyun


News Detail

The Opportunity For Digital Transformation Big Data Drives Efficient Production

Time: 2018-06-27 Category: Industry Information Tag: Digital Transformation Big Data
Summary: In the new era of digitalization, original equipment manufacturers and suppliers have joined the wave of transformation, using cloud computing technology to convert big data into smart data for production monitoring and management. The Industry 4.0
In the new era of digitalization, original equipment manufacturers and suppliers have joined the wave of transformation, using cloud computing technology to convert big data into smart data for production monitoring and management. The Industry 4.0 model helps manufacturers and end users achieve the most With good collaboration, factory companies can easily complete current production tasks or plan for the future.

As the global competitive landscape continues to change, the manufacturing industry needs to rapidly increase manufacturing capabilities to respond to rapidly changing market demands. At present, the manufacturing industry is developing from large-scale information gathering to using big data to gain value, such as highly practical predictive maintenance and optimization of overall equipment efficiency.

In the future, the factory will become more intelligent, and cooperative robots will help employees complete their tasks efficiently. The use of 5G, a new generation wireless communication technology, will enable the factory to achieve rocket-like speed operation. The factory big data can be converted into value quickly and highly flexibly. Ultimately create the greatest value with the least cost.

Digital transformation opportunities for innovation

The enormous value brought by digitalization will be reflected in all aspects of the manufacturing industry. For factory planners and production managers, the major challenge facing them today is the use of big data, and how to carry out a large amount of scattered and chaotic data in the factory. Structured processing, how to convert it into usable smart data, and integrate the data into the operating system to make the workflow more visible.

From the processing of materials to the management of tools, and the arrangement of work processes, all of the future manufacturing will be digitized, and the plants can be produced in batches in a fast and flexible manner. In addition to completing their respective tasks, each intelligent production unit will echo with other links. Because, data communication broke through the gap between them.

In addition, the production monitoring process will be accessible remotely, and the status of the plant will be known wherever and whenever. The manufacturing process goes from supplier to design, manufacturing to distribution and consumers. This complex composition cannot be completed at the same time and place, and digital technology can make up for these shortcomings.

In the future, the manufacturing industry connects the scattered suppliers, manufacturers and consumers through the Internet of Things and cloud computing. The factory can provide production plans for customers and consumers, and maintain the economic feasibility and global competitiveness of the process.

Big data analysis leads to efficient production

If the production of a machine part in the factory takes 30 seconds, and the production process may be related to material preparation, transportation, assembly process, etc., these real-time production data will become crucial. Under the visualized process monitoring, the manager can clearly See which aspects are inadequate and know how to adjust production to achieve higher efficiency output.

The Industrial Internet of Things has networked all the equipment in the factory and collected data from vertical machine tools, conveyor machines, welding equipment, and even parts washers. These data are moved from the factory to the cloud, providing manufacturers and suppliers with the best Decision reference.

The equipment manager can also remotely access the status of the equipment. When the machine generator fails or changes, it can coordinate changes by remote maintenance or adjustment. Of course, under the support of artificial intelligence, it is possible to predict the time of machine failure and replace components in advance to ensure the continued operation of the plant. In the era of interconnectedness, the machine can promptly issue an alarm to ensure that no defects are produced.

Communication security will be crucial

To realize such a transparent and accessible digital factory as described above, a large number of sensors and network communication facilities must be invested, and network security cannot be ignored. The greater the functionality of the industrial network, it means that the more serious the attack will be, the unauthorized access will be terrible, if someone privately changes the system settings and changes the device's actions may destroy a factory.

With more and more advanced machinery and equipment, machine tools, robots and other products will configure more sensors, such as encoders, voltage detection, temperature sensors and so on. Manufacturers can more easily perform on-line inspections, collect sufficient equipment data, analyze machine performance and optimize production.