Foreword
As robotics and other automation technologies continue to advance, more and more companies use big data analytics to improve their business and performance. It is expected that commodity prices may further decline in the future, and at the same time, more human work may be eliminated.
In recent years, automation technologies such as robots have continued to advance, bringing tremendous changes to human production plants. More and more companies are beginning to use big data analytics to improve their business and performance. Automation systems have boosted productivity, reduced corporate investment risks and increased returns. It is expected that commodity prices may further decline in the future, and at the same time, more human work may be eliminated.
In late 2017, Quanergy's new manufacturing facility in Sunnyvale, Calif., was put into use, and the facility has taken smart manufacturing concepts to a new level. Quanergy uses this plant for the production of LiDAR (Lidar) sensors that allow autonomous vehicles to sense the surroundings and guide and avoid collisions.
So what's so special about this factory? It has a high-capacity, fully automated production line in a clean room environment. The production line has the most advanced semiconductor processing and packaging equipment, including a conveyor system that connects the machines along the production line, converting the raw materials of the silicon wafers into finished LiDAR sensors.
According to the company, the plant is also responsible for the automatic calibration and final testing of sensors, providing high-quality and reliable LiDAR production solutions. This is a highly flexible factory that uses IoT connectivity technology to make manufacturing more efficient and business responsive. This is the industrial 4.0 model factory, which will have more samples in 2018.
Automation technology affects everything
Automation and intelligent robots may reshape our world. Institutional analysis suggests that 50% of jobs will be replaced by machines in the next decade. These positions include workers in the transportation and logistics industry, office and administrative positions, and labor in the production sector. With the development of technologies such as artificial intelligence and the application of high-end automation, many middle classes will also be eliminated.
Robots can complete their work in much shorter time, and the chance of error is very small. This will allow the factory to replace thousands of jobs, and manufacturing employment will gradually disappear. As the technology associated with automation continues to advance, layoffs will become more aggressive. According to relevant studies, 87% of the unemployment in the manufacturing industry is due to the increase in factory efficiency. This is the killer of the frequently cited blue-collar workers.
Automated innovation solves pressing problems in infrastructure, productivity and labor. Artificial intelligence and automation will usher in an era of cheaper products. However, when intelligence becomes super smart, machines that are smarter than smart people will pose greater risks. People and machines will enter the competition stage, and many people will lose in the competition.
Many people believe that artificial intelligence will bring more economic benefits to the society. Enterprises use artificial intelligence in production and decision-making to increase overall efficiency. However, in the short term, the transition of production intelligence is disturbing and the replacement of a large number of jobs may have devastating effects.
We are ushering in an unprecedented transformation. With the advancement of automation technology, our working methods have changed. Programs equipped with learning capabilities and intelligent systems with autonomous decision-making capabilities will eliminate more technical and non-technical jobs.
The factory is undergoing great changes
The wave of the fourth industrial revolution is on the way and a new generation of information technology will have a profound impact on traditional manufacturing. From the "Industry 4.0" to the "Intelligent Manufacturing" and "Internet +" concepts introduced in Germany, the transformation and upgrading of the manufacturing industry is a major trend. On the one hand, the increase in labor costs and rising raw material prices have forced factories to adopt more efficient automation solutions. On the other hand, consumer demand for personalization is growing. Factories need to establish mechanisms that respond quickly to diverse needs.
Smart manufacturing is also a daunting process. It takes a relatively long time from machine substitution to intelligent and digital transformation and upgrading. However, it is certain that in the next decade, the factory will experience tremendous changes, and today’s factory’s The revolution has quietly begun.
Industrial robot
Industrial robots have become an important role in manufacturing, and more and more companies adopt robots to obtain higher production efficiency and solve manpower problems. According to reports, the number of robots in Philips' factory producing electric shavers exceeds the proportion of production workers, which shows that robots have replaced manpower in some respects.
The new wave of factory automation is underway and robots are entering new environments, creating new value for manufacturers. So why are robots favored by companies? This is partly due to the collaborative robots, which have high availability, are cheaper than before, have flexible mobility and good security protection and can work safely with human colleagues.
OT/IT integration
The IoT technology, which combines the data from islands, can provide valuable insights into manufacturing performance, thereby promoting the convergence of operational technology (OT) and information technology (IT) and enabling digital manufacturing. In the Industry 4.0 model, companies can gain more insights, adhere more closely to manufacturing plans, reduce downtime, and respond faster to machine problems.
In 2017, we have seen many industry partnerships that combine OT and IT companies, such as ABB and HP. In 2018, there will be more OT and IT cases. The digital transformation of the factory will further accelerate.
artificial intelligence
If the robot is the main role of the factory in the future, then artificial intelligence is the key role in achieving intelligent manufacturing. The special manufacturer of machine learning can more accurately predict demand patterns and allocate resources. In other words, AI allows manufacturers to answer questions based on massive data references rather than artificial guesses.
Oracle is extending artificial intelligence to many core business applications, launching Oracle Adaptive Intelligent Applications, a cloud-based smart factory application that supports complex decision science. According to Steve Miranda, Oracle's executive vice president of application development, Oracle adaptive programs embed AI algorithms, but this approach is hidden from users and embedded in the software they use to perform their daily tasks.
Additive manufacturing
Diversification and rapid manufacturing are the basic requirements for satisfying individual needs, and 3D printing has become the best solution for modern rapid manufacturing with an extremely flexible manufacturing method. After years of development, 3D printing materials, from plastics to metal powders, have met the needs of various models of structural production, and have been successfully used in large-scale work fields such as aerospace and automotive.
As 3D printers become cheaper, faster, more accurate, and work better with a wider range of materials, including production grade materials, they are increasingly used to make end products, not just one part . This is called "additive manufacturing."
Because 3D printers layer over a given material layer to create a ready-made object instead of cutting, cutting, drilling and hammering the material, this saves a lot of material. 3D printing opens the door to mass production of personalized products, from a pair of sports shoes for individual users to car bumpers that can be designed and customized according to the needs of users.
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