Development trends of intelligent technology
1. Performance development direction
High speed, high precision and high efficiency.
Speed, precision and efficiency are key performance indicators of mechanical manufacturing technology. Due to the adoption of high-speed CPU chips, RISC chips, multi-CPU control systems and AC digital servo systems with high-resolution absolute detection components, as well as effective measures to improve the dynamic and static characteristics of machine tools, the machine tools have become high-speed, high-precision and efficient. Greatly improved.
Flexible.
It includes two aspects: the flexibility of the CNC system itself, and the modular design of the CNC system with large functional coverage. It has strong tailorability and is easy to meet the needs of different users; due to the flexibility of the group control system, the same group control system can automatically and dynamically adjust the material flow and information flow according to the requirements of different production processes, thereby maximizing the use of the group control system. efficacy.
Process complexity and multi-axis.
Composite processing with the main purpose of reducing processes and auxiliary time. It is developing towards multi-axis and multi-series control functions. The process composite of CNC machine tools means that after the workpiece is clamped once on a machine tool, it can complete multi-process and multi-surface composite processing through various measures such as automatic tool change, rotating spindle head or turntable.
Real-time intelligence.
Early real-time systems were usually aimed at relatively simple ideal environments. Their role was to schedule tasks to ensure that tasks were completed within a specified deadline. Artificial intelligence attempts to use computational models to realize various intelligent behaviors of humans. With the development of science and technology today, real-time systems and artificial intelligence are combined with each other. Artificial intelligence is developing towards more realistic fields with real-time response, while real-time systems are also developing towards more complex applications with intelligent behavior. This gave rise to the new field of real-time intelligent control.
2. Function development direction
Graphical user interface.
The user interface is the dialogue interface between the CNC system and the user. Since different users have different requirements for the interface, the workload of developing the user interface is huge, and the user interface has become one of the most difficult parts of computer software development. Current technologies such as the Internet, virtual reality, scientific computing visualization and multimedia have also put forward higher requirements for user interfaces. The graphical user interface greatly facilitates use by non-professional users. People can operate through windows and menus to facilitate blueprint programming and fast programming, three-dimensional color stereo dynamic graphics display, graphics simulation, graphics dynamic tracking and simulation, views in different directions and the implementation of local display scaling functions.
Scientific computing visualization.
Scientific computing visualization can be used to efficiently process and interpret data, so that information exchange is no longer limited to text and language expression, but can directly use visual information such as graphics, images, and animations. The combination of visualization technology and virtual environment technology has further broadened the application fields, such as drawing-free design, virtual prototype technology, etc., which is of great significance to shorten the product design cycle, improve product quality, and reduce product costs. In the field of CNC technology, visualization technology can be used in CAD/CAM, such as automatic programming design, automatic parameter setting, dynamic processing and display of tool compensation and tool management data, and visual simulation demonstration of the machining process.
Diversified interpolation and compensation methods.
A variety of interpolation methods such as linear interpolation, arc interpolation, cylindrical interpolation, space elliptical surface interpolation, thread interpolation, polar coordinate interpolation, 2D+2 spiral interpolation, NANO interpolation Complement, NURBS interpolation, polynomial interpolation, etc. Various compensation functions such as backlash compensation, perpendicularity compensation, quadrant error compensation, pitch and measuring system error compensation, speed-related feedforward compensation, temperature compensation, tool radius compensation with smooth approach and exit and opposite point calculation, etc.
Equipped with high-performance PLC.
The CNC system is equipped with a high-performance PLC control module, which can be programmed directly using trapezoidal circles or high-level languages. It has intuitive online debugging and online help functions. The programming tool includes standard PLC user program implementation for lathes and milling machines. On the other hand, users can edit and modify based on standard PLC user programs to easily create their own applications.
Multimedia technology applications.
Multimedia technology integrates computer, audio and video and communication technologies, giving computers the ability to comprehensively process sound, text, images and video information. In the field of CNC technology.
The application of multimedia technology can achieve comprehensive and intelligent information processing, and has significant application value in real-time monitoring systems, fault diagnosis of production site equipment, and monitoring of production process parameters.
3. Development of architecture
Integration.
The use of highly integrated CPUs, RISC chips and large-scale programmable integrated circuits FPGA, EPLD, CPLD and application-specific integrated circuit ASIC chips can improve the integration of the CNC system and the running speed of software and hardware, and apply LED flat panels Display technology that improves monitor performance. Flat panel displays have the advantages of high technological content, light weight, small size, low power consumption, and portability. Super large size display is possible. Apply advanced packaging and interconnection technologies to integrate semiconductor and surface mount technologies. Reduce product prices, improve performance, reduce component size, and increase system reliability by increasing integrated circuit density and reducing interconnect length and quantity.
Modularization
Hardware modularization is easy to realize the integration and standardization of CNC systems. According to different functional requirements, basic modules, such as CPU, memory, position servo, PLC, input Output interface, communication and other modules are made into standard serial products, and the functions are tailored and the number of modules is increased or decreased through building blocks to form different grades of CNC systems.
Networking
Machine tool networking allows for remote control and unmanned operation. Networking allows other machine tools to be programmed, set, operated and run on any machine tool. Pictures of different machine tools can be displayed on the screen of each machine tool at the same time.
What are the development prospects of artificial intelligence?
The employment and development prospects of artificial intelligence in the future are very promising for the following reasons:
First, intelligence is one of the important trends in the future.
1. With the development of the Internet, related technologies such as big data, cloud computing and the Internet of Things will gradually become popular and applied. Against this background, intelligence must be one of the development trends.
2. Artificial intelligence-related technologies will first be applied in the Internet industry, and then gradually spread to other industries. Therefore, from the perspective of large-scale development prospects, the development prospects of artificial intelligence-related fields are still very broad.
Second, the development of the industrial Internet will inevitably drive the development of artificial intelligence.
1. The Internet is currently developing from the consumer Internet to the industrial Internet. The industrial Internet will comprehensively apply related technologies such as the Internet of Things, big data, and artificial intelligence to empower traditional industries.
2. Artificial intelligence, as one of the important technologies, will inevitably release a large number of jobs in the development of the industrial Internet.
Third, artificial intelligence technology will become one of the essential skills for people in the workplace.
1. As intelligent agents gradually enter the production environment, future workplace workers will frequently communicate and cooperate with a large number of agents during their work, which puts forward new requirements for workplace workers.
2. In the future, we need to master artificial intelligence-related technologies. From this perspective, mastering artificial intelligence technology will become an inevitable trend in the future, and the education market for related skills will also usher in huge development opportunities.
What are the future development prospects of artificial intelligence?
The employment and development prospects of artificial intelligence in the future are very promising for the following reasons:
First, intelligence is one of the important trends in the future.
1. With the development of the Internet, related technologies such as big data, cloud computing and the Internet of Things will gradually become popular and applied. Against this background, intelligence must be one of the development trends.
2. Artificial intelligence-related technologies will first be applied in the Internet industry, and then gradually spread to other industries. Therefore, from the perspective of large-scale development prospects, the development prospects of artificial intelligence-related fields are still very broad.
Second, the development of the industrial Internet will inevitably drive the development of artificial intelligence.
1. The Internet is currently developing from the consumer Internet to the industrial Internet. The industrial Internet will comprehensively apply related technologies such as the Internet of Things, big data, and artificial intelligence to empower traditional industries.
2. Artificial intelligence, as one of the important technologies, will inevitably release a large number of jobs in the development of the industrial Internet.
Third, artificial intelligence technology will become one of the essential skills for people in the workplace.
1. As agents gradually enter the production environment, future workplace workers will frequently communicate and cooperate with a large number of agents during their work, which puts forward new requirements for workplace workers.
2. In the future, we need to master artificial intelligence-related technologies. From this perspective, mastering artificial intelligence technology will become an inevitable trend in the future, and the education market for related skills will also usher in huge development opportunities.
What is the future trend of artificial intelligence?
The teacher believes that the future development trend of artificial intelligence is as follows:
①AI-enabled chips will become mainstream
Unlike other technologies and software tools, artificial intelligence mainly Rely on professional processors. To accommodate the complex demands of AI, chip manufacturers will develop specialized chips that can run AI-enabled chips. Even tech giants like Google, Facebook and Amazon are investing more in these purpose-built chips. These chips will be used for special purposes related to artificial intelligence, such as natural language processing, computer vision and speech recognition.
②Artificial intelligence and the Internet of Things meet at the edge computing layer
2019 is the year of the integration of different technologies and artificial intelligence. IoT will work hand in hand with artificial intelligence at the edge computing layer. Industrial IoT will harness the power of artificial intelligence to conduct root cause analysis, perform predictive maintenance of machines and automatically detect problems.
We will see the rise of distributed artificial intelligence in 2019. Intelligence will be distributed and brought closer to the assets and equipment undergoing routine inspections. Highly complex machine learning models powered by neural networks will be optimized to run at the edge.
③Welcome to automated machine learning systems
Automated machine learning systems are one of the most significant development trends in the artificial intelligence industry in 2019. With the ability to automate learning, developers can tinker with machine learning models and create new machine learning models that are ready to meet future AI challenges.
Automated machine learning systems will sit somewhere between cognitive application programming interfaces and custom machine learning platforms. The biggest advantage of an automated machine learning system is that it gives developers the customization options they require while streamlining the workflow. When you combine data and portability, automated learning systems can give you flexibility that other AI technologies don’t have.
④Embrace intelligent operation and maintenance
When artificial intelligence is used in applications, it will change the way we manage infrastructure. DevOps will be replaced by intelligent operations, which will enable your IT staff to conduct precise root cause analysis. Additionally, it makes it easy for you to instantly find useful insights and patterns from huge databases. Large enterprises and cloud providers will benefit from the convergence of DevOps and artificial intelligence.
⑤Neural Network Integration
One of the biggest challenges that artificial intelligence developers will face when developing neural network models is choosing the best framework. With dozens of AI tools on the market, choosing the best AI development tool may not be as easy as it once was. The lack of integration and compatibility between different neural network toolkits hinders the adoption of artificial intelligence. Tech giants such as Microsoft and Facebook are already developing open neural network exchanges that allow developers to reuse neural network models across multiple frameworks.
⑥Professional artificial intelligence systems have become a reality
The market demand for professional systems will grow exponentially in 2019. Organizations have limited data, but they want specialized data. Such a need will drive companies to acquire tools that can help organizations generate high-quality AI data internally.
In 2019, the focus will shift from data volume to data quality. This will lay the foundation for artificial intelligence that can function in the real world. Enterprises will look for professional artificial intelligence solution providers to help them access key data sources and understand unstructured data.
⑦Artificial intelligence technology will determine your destiny
Although artificial intelligence has changed every industry you can think of, the industry still lacks talents with a large number of artificial intelligence skills.
Patkar Horn, CEO of Espressive, said: “Most organizations are looking to embrace AI as part of their digital transformation, but are not delivering on the promise – leaving developers, AI experts and linguists to develop solutions, or even There is no engine for cultivating pre-built solutions
Rahul Kashyap, CEO of AwakeSecurity, added: “There are so many AI-driven solutions and businesses should be more keenly aware of them now. What happens inside the 'black box' of an AI solution. ” He continued: “The way an AI algorithm is trained, structured or informed can result in significant differences in output. The correct equation for one company will not work for another. ”
⑧Artificial intelligence may be exploited by criminals
Just like a coin has two sides, artificial intelligence also has positive and negative effects. Information security experts will use artificial intelligence to Rapidly detect malicious activity. With AI-driven responses and machine learning algorithms, false positives will be reduced by 90%. If artificial intelligence falls into the wrong hands, cybercriminals will abuse it to complete their malicious intentions. The military can launch lethal attacks more successfully. This will force enterprises to fight fire with fire and invest in AI-driven security solutions that can protect them from AI-driven attacks. Data Transformation
In 2019, artificial intelligence is everywhere. From network applications to health care systems, from airlines to hotel reservation systems, etc., we can see artificial intelligence everywhere, and it will be digital. At the forefront of transformation.
Dr. Dong Bei, chairman and professor of the IT department at the University of Hawaii, said: "Due to institutional, political and social reasons, the development of artificial intelligence takes time. I think the biggest trend in artificial intelligence will be to accelerate digital transformation and make existing business systems more intelligent. ”
The future development trend of hotel intelligence?
Home intelligence has become more mature compared to scene intelligence. At the same time, hotels, as an important residential consumption scene, are very important for combining intelligence. The application of artificial intelligence technology is still an inevitable trend in the future. Mingrihui Technology is committed to serving the intelligent upgrade of the hotel industry, providing hotels with intelligent upgrade solutions for the entire chain, and also opening up the hotel chain. With the interconnection of surrounding scenes, Mingrihui Technology will deepen its application in the Internet of Things technology in the hotel and tourism industry. The intelligent products for hotel merchants provided by Mingrihui Technology provide hotels with intelligent upgrades throughout the chain, starting from check-in: contactless check-in. Dynamic face recognition, automatic elevators, smart access control, etc., in the guest's living space: mobile phone app opens the door, voice interactive control of in-room equipment, personalized light off control and scene mode, opening up the surrounding life product ecology for the hotel Chain. At the same time, it provides customized cinema systems and e-sports systems for hotels based on basic needs.
How do you view the future development trend of automotive electronics intelligent technology?
1. Self-driving cars have greatly improved the safety of vehicles
Currently, the giants in the automobile industry are studying self-driving technology. Theory and experiments show that since the entire process of self-driving is controlled by computers, alcohol consumption is very low. The risks of rear-driving, speeding and illegal driving will be greatly reduced. However, driverless technology has not been widely promoted. As people’s life pace accelerates and life pressure increases, people are becoming more and more tired of daily commuting and driving. , and even feels like a burden. Complex intersection judgment and vehicle safety during driving are a huge waste of energy. Autonomous driving technology will more accurately analyze intersections and judge roads based on sensor data, thereby reducing the burden of daily commuting. At the same time, while fully ensuring the smooth flow of vehicles, autonomous driving technology will be widely promoted and applied in big cities in the future, which will play a certain role in promoting urban development.
2. New energy vehicles are good at environmental protection. Better
The rapid development of science and technology not only provides convenience to mankind, but also causes certain damage to the environment. With the continuous development of the automobile industry, the problems of automobile exhaust emissions and global warming are becoming more and more serious. . This is also a problem that needs to be solved in the future development of the automobile industry. Smart cars will continue to optimize and upgrade the engine system to make it more reasonable and environmentally friendly, and reduce exhaust emissions. In addition, emerging new energy vehicles also point the way for the future development of the automobile industry. . New energy vehicles are driven by electricity.
The power cost of the same mileage is much lower than that of traditional fuel vehicles, which greatly reduces energy consumption. As a country with a large population, China's total oil reserves are not high. The increase in the number of traditional fuel vehicles has increased China's dependence on crude oil imports. On the contrary, in future development, in addition to relying on traditional electric energy, cars can also combine solar energy, wind energy, hydropower, etc. to achieve more environmental protection. In post-maintenance, compared with fuel vehicles, hybrid fuel systems are more complex and require higher maintenance costs. New energy vehicles use electric drive systems, which are easy to inspect, reduce maintenance costs, and greatly improve overall environmental performance.
3. Future cars will be more intelligent and humane
In recent years, the application transformation and innovation of intelligent technology in the automotive field have become increasingly favored and sought after by people. Increasing demands have been placed on the automotive industry. The installation and application of sensors in cars, microcomputers and wireless networks will be the cars of the future. Advances in science and technology enable people to make bold assumptions about their needs. In the future, cars may become smart mobile devices that integrate home theaters, mobile offices, and station wagons. They can even execute voice control commands to enable human-vehicle dialogue. Smart cars of the future will be more than just transportation for people. It affects or even changes people's lifestyles in many aspects, and can greatly improve the convenience of people's lives and work.