As automation technologies such as robots continue to evolve, more and more companies are using big data analytics to drive business and performance, and it is estimated that future commodity prices are likely to decline further, while more work on humanity may be phased out .
In recent years, robotics and other automation technologies have been making great strides in the human production workshop, and more and more enterprises have started to use big data analysis to enhance their business and performance. Automation systems have promoted the improvement of productivity, lowered the investment risk of enterprises and Increased the rate of return, and it is expected that the price of commodities may decline further in the future, at the same time, more human beings' work may be eliminated.
At the end of 2017, a new manufacturing facility at Quanergy Inc. in Sunnyvale, Calif., Was put into operation and took the concept of smart manufacturing to a new level. Quanergy used the plant to produce LiDAR sensors, Radars allow the self-driving vehicle to perceive the surroundings and guide it and avoid collisions.
So what's special about this factory? It has a high-volume, fully-automated production line in a clean room environment with state-of-the-art semiconductor processing and packaging equipment, including a conveyor system that links the machinery along the line, The silicon wafer raw materials into finished LiDAR sensor.
According to the company, the plant is also responsible for the automatic calibration and final testing of sensors to provide high quality and reliable LiDAR production solutions, a highly flexible plant that makes manufacturing even more via IoT technology Efficient, faster business response.This is the industrial 4.0 model of the factory, this factory will be in 2018 there will be more samples.
Automation affects everything
Automated and intelligent robots may reshape our world, with institutional analysis that 50% of jobs will be replaced by machines over the next 10 years, including workers in the transportation and logistics industries, office and administrative positions, and manufacturing areas Of the labor force.With the development of applications such as artificial intelligence and high-end automation, many middle-class people will also get rid of the times.
Robots will be able to get their work done in less time, with fewer chances of mistakes, leaving thousands of jobs in the factory to be replaced and manufacturing jobs to disappear. As automation-related technology continues to improve, According to related research, 87% of manufacturing unemployment stems from the increase in plant efficiency, which is the killer of frequently quoted blue-collar workers.
Automation innovations address pressing issues of infrastructure, productivity, and workforce, and artificial intelligence and automation will usher in a cheaper product era, but when intelligence becomes super-smart, smarter machines will be bigger Risk, people and machines will enter the stage of competition, many people lose in the competition.
Many people think that artificial intelligence will bring more economic benefits to society and that enterprises use artificial intelligence to enhance their overall efficiency in production and decision-making, but in the short term, the transition to intelligent production is troubling and a lot of work Being replaced can have a devastating effect.
We are embracing a revolution that has never been seen before, and the way we work has changed as automation technology advances. Programs equipped with learning capabilities and intelligent systems with autonomous computing power will eliminate more technical and non-technical Jobs.
The factory is undergoing dramatic changes
The fourth wave of industrial revolution is coming and the new generation of information technology will have a profound impact on the traditional manufacturing industry. From Germany's Industry 4.0 to intelligent manufacturing and the introduction of the Internet concept, the transformation and upgrading of the manufacturing industry are already The big trend is the one hand, rising labor costs, rising raw material prices forced factories to adopt more efficient automation solutions.On the other hand, the individual needs of consumers are growing, factories need to establish a mechanism to respond quickly to diverse needs .
Smart manufacturing is also a daunting process. It takes a long time to go from machine replacement to intelligent and digital transformation and upgrading, but the next decade is certain that the factory will have a tremendous change. Today's factory Revolution has quietly opened.
Industrial robot
Industrial robots have become an important player in the manufacturing industry, and more and more companies are using robots to achieve higher productivity and solve manpower challenges. It is reported that the number of robots in the Netherlands is more than the production of electric razors in the factory The proportion of workers shows that robots have in some ways replaced manpower.
The new wave of factory automation is in progress and robots are moving into new environments that create new value for manufacturers, so why are robots favored by businesses? Part of the reason is collaboration robots, which are highly available and cheaper than before , Flexible mobility and good security, you can work safely with your fellow human beings.
OT / IT integration
IoT technologies that combine siloed data can provide valuable insights into manufacturing performance, thereby contributing to the convergence of operational technology (OT) and information technology (IT), enabling digital manufacturing. Under the Industry 4.0 model, companies can obtain More insights, more adherence to manufacturing plans, reduced downtime, and faster response to machine problems.
In 2017, we have seen many industry partnerships that combine OT and IT companies such as ABB and HP. 2018 will surely bring more OT and IT cases. The digital transformation of the factory will be Further accelerate.
artificial intelligence
If the robot is the main role of the factory of 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 Data reference to answer questions rather than artificial guesses.
Oracle is extending artificial intelligence into many of its core business applications by introducing Oracle Adaptive Intelligent Apps, a cloud-based, smart factory application that supports sophisticated decision science, according to Oracle Applications Steve Miranda, executive vice president of development, describes that the Oracle adapters embed AI algorithms, but this approach is hidden from the user and embedded in the software they use to perform routine tasks.
Additive manufacturing
Diversification and rapid manufacturing are the basic requirements for satisfying individual requirements. 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 plastic to metal powder have been satisfied. The demand for production of various model structures has been successfully applied to large-scale work fields such as aerospace and automobiles.
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 printing machines create a ready-made object, layered over a given layer of material instead of cutting, cutting, drilling, and hammering material, this can save a lot of material 3D printing opens up mass-production personalization The door to the product, from a pair of shoes suitable for individual users, to the car bumper can be designed and customized according to the needs of users.
Article Source: Internet Industry