Introduction: my country's industry is mainly divided into two categories: light industry and heavy industry. Light industry refers to the procurement and processing of raw materials, while heavy industry refers to the chemical industry. In the past, industrial manufacturing was completed through handicrafts, which made it difficult to guarantee the quality of many products.
1. Deficiencies of traditional manufacturing methods
1.1 Low production quality
my country's industry is mainly divided into two categories: light industry and heavy industry. Light industry refers to the procurement and processing of raw materials, while heavy industry refers to the chemical industry. In the past, industrial manufacturing was completed through handicrafts, which made it difficult to guarantee the quality of many products.
1.2 Long production time
In the past, industrial manufacturing lacked advanced processes, and the work was mainly carried out by relying on the experience of manufacturing workers, without utilizing advanced manufacturing technologies. For example, in coal mining, the various construction techniques in coal mines were relatively backward, resulting in a small daily output of coal. In addition, miners had to work more than 12 hours a day to ensure the production demand, which caused the workers' working hours to exceed the standard regulations.
1.3 Low production efficiency
In the process of carrying out industrial manufacturing, enterprises invest a significant amount of capital. However, due to substandard product quality, many goods cannot enter the market, resulting in stockpiling of inventory. Furthermore, quality issues hinder the smooth operation of the enterprise, leading to a situation where investment is high but returns are low.
2. Advantages of intelligent manufacturing technology
Traditional manual manufacturing requires highly skilled workers, necessitating specialized training and technical expertise. However, due to inherent limitations, even with experienced workers, manual manufacturing cannot match the efficiency and skill level of machine manufacturing. Applying advanced intelligent technologies to intelligent manufacturing systems can achieve greater efficiency than purely machine-based manufacturing. Intelligent machine manufacturing systems also possess self-adjustment and autonomous learning capabilities. They can analyze, adjust, and optimize instructions issued by the system based on actual on-site conditions, adapting to the ever-changing market environment. This allows them to meet the demands of both quantity and quality in industrial product manufacturing.
3. Application of intelligent manufacturing technology in the industrial field
As an advanced concept in the industrial economy of the new era, automated production is of great significance to industrial development. Mechanical manufacturing automation and mechatronics are concrete manifestations of industrial automation development. Fully applying intelligent technology to the industrial production process is also the inevitable path for the future development of industrial enterprises.
3.1 Human-machine operation
Intelligent manufacturing technologies enable efficient human-machine collaboration. During production, manufacturing companies have high precision requirements for their products, and intelligent technologies can effectively meet this need. For example, in the manufacture of metal products, it is difficult to achieve high-precision production solely through manual labor. Intelligent manufacturing methods are necessary, using CNC equipment and computers to improve the precision of metal products. Furthermore, intelligent technologies can quickly and accurately handle problems that cannot be addressed in mechanical manufacturing processes. For instance, in the manufacture of high-precision measuring tools, intelligent robots can perform comprehensive cutting and grinding operations on the workpiece, thereby improving the production efficiency and accuracy of high-precision measuring tools.
3.2 Automated Design
Intelligent robots possess excellent reasoning and judgment abilities. Leveraging this characteristic, they can manufacture products that meet industrial demands. In this process, intelligent robots can receive information, process corresponding digital signals, and handle program code. Therefore, product developers simply input the specific product information into the intelligent robot to achieve high-precision product manufacturing.
3.3 Virtualized Production
In the industrial sector, the application of intelligent technologies also primarily includes virtualized production. Virtualized production is a production process conducted using computer technology. By detecting product data and performing effective reasoning, the production process can be simulated, thereby enabling improvements in manufacturing processes and control over product costs. Currently, virtualization technology is widely used in industrial production. A common example is radio frequency identification (RFID) technology, which exists in a readable and writable form and mainly includes functions such as positioning, identification, sensing, and network operation, effectively improving product quality.
4. Solving key problems in the application and promotion of intelligent manufacturing technology
1) Sensing Issues in Intelligent Manufacturing Systems. This aspect primarily relies on sensor integration technology. However, many current CNC machine tool control centers operate using single-sensor operation to monitor the machining process. In this process, the sensor's data measurement methods are relatively limited and cannot accurately reflect the entire product manufacturing process. Therefore, to effectively apply intelligent manufacturing technologies, it is necessary to fully utilize sensor integration technology.
2) Decision-making issues. The sensor integration module has a direct impact on the system's decision-making and algorithms.
3) Control issues in intelligent manufacturing systems. The manufacturing and control technologies of sensors have a direct impact on intelligent control systems, enabling effective control of actuators and decision-making models. Improving the response speed and real-time performance of modules in intelligent manufacturing systems is a key issue that researchers need to consider. Therefore, in the later stages of intelligent technology development, efforts should be focused on knowledge analysis and capability acquisition.
5 Conclusion
Based on market demand and the development of social science and technology, intelligent manufacturing technology, influenced by the changing market economic environment, is gradually developing towards flexibility and mass production. Faced with this trend, the demand for manufacturing technology is no longer limited to product design and manufacturing processes, but rather transforms them into integrated activity systems, making the operation and use of manufacturing systems more automated and orderly. Intelligent manufacturing technology provides a reliable guarantee for industrial development and has become the direction of intelligent technology development. Doing a good job in this area can provide reliable data support for relevant technical organizations.
Disclaimer: This article is a reprint. If there are any copyright issues, please contact us promptly for deletion (QQ: 2737591964). We apologize for any inconvenience.
