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IOT helps accelerate the upgrading of manufacturing industry

Digital technology includes mobile communication technology, robotics technology, 3D printing, cloud computing, big data and other forms. Among them, the Internet of things is the most suitable one for improving business. Orange Business Service commissioned PwC to investigate how the Internet of things improves the competitiveness of manufacturing enterprises in high-quality and complex products. The survey shows that the Internet of things has outstanding performance in improving productivity, improving quality control ability and reducing business risks for manufacturing enterprises.
Take Japan as an example. Japanese manufacturers have always advocated the use of the Internet of things to increase production capacity. Mitsubishi Electric Machinery Factory in Nagoya, Japan has developed and deployed automation solutions e-F@ctory and eco-F@ctory To optimize and enhance manufacturing and production processes. E-F@ctory It is a set of control and network technologies that can be used to visualize production information and integrate it into production plans to ensure quality traceability. Eco-F@ctory The measurement equipment and technology supporting energy-saving work are introduced to realize the “visual” management of power consumption.
Overall, human-machine cooperation can achieve the following points: the production cycle can be shortened by 50%; Productivity increased by 180%; Equipment operation rate increased by 190%; The manufacturing time is reduced by 60%; Reduce energy cost by 10%; The mass loss is reduced by 50%.
raise productivity
Through intelligent technology, enterprises can collect process data such as production cycle or material consumption from mechanical equipment and sensors, filter these data and send them to the cloud for storage and further analysis. In this way, these data can be converted into real-time dashboards to monitor and control plant processes and equipment in a timely manner and to provide insights into how to optimize the plant.
For example, supported by data, the facility manager can gain real-time insight into all operational matters, including materials, equipment and usage patterns of operators. In this way, the facility manager can more easily analyze the process, simplify the workflow, reduce the ineffective time and process, reduce the WIP inventory, and establish an effective performance management system. Through this information, production personnel can also have a deeper understanding of the impact of temperature, pressure and humidity on performance and minimize production loss.
It is estimated that using a data centric approach can increase capacity by 65%.
Using the Internet of things technology to track real-time energy consumption, high energy consumption assets can be operated outside the peak period of the highest energy cost.
At the same time, manufacturing enterprises can also properly collect information on the use of public facilities to determine the precise energy consumption for the production of a product, and use the results to analyze profitability.
With the Internet of things, data collection from multiple factories can be integrated into the cloud. Through integrated data, cross plant monitoring and benchmarking can be realized, and finally high-performance and low-performance facilities can be identified. Enterprises can select the data patterns unique to these facilities, so as to identify the best specifications applicable to the entire network and correct defects.