**First, the Definition of Intelligent Manufacturing**
Intelligent manufacturing refers to a production system that integrates smart equipment through communication technologies, enabling automation throughout the manufacturing process. It uses various sensing technologies to collect data during production and transmits this information via industrial Ethernet or other communication methods to an industry server. There, the data is processed and analyzed under the control of industrial software systems. This integration with enterprise resource management software allows for the creation of optimized or customized production plans, ultimately leading to intelligent production.
Intelligent Manufacturing (IM) is a human-machine integrated system composed of both intelligent machines and human experts. It enables intelligent activities such as analysis, reasoning, judgment, conception, and decision-making within the manufacturing process. By combining human expertise with machine intelligence, it enhances, extends, and in some cases replaces the mental tasks performed by human experts. This approach transforms traditional manufacturing automation into a more flexible, intelligent, and highly integrated system.
**Second, the Basic Principles of Intelligent Manufacturing**
Based on the essential characteristics of intelligent manufacturing systems, these systems operate within a distributed manufacturing network environment. They apply the principles of multi-agent systems from distributed artificial intelligence to create flexible and intelligent manufacturing units. These systems can be integrated in a networked environment, reflecting the concept of global implementation based on local models. The isomorphic nature of distributed systems ensures that the implementation of intelligent manufacturing in a global network is both feasible and effective.
**Third, Features of Intelligent Manufacturing**
**1. Human-Machine Integration**
An intelligent manufacturing system is not just an AI-based system but a hybrid of human and machine intelligence. While AI-powered machines can perform logical reasoning, prediction, and basic judgment, they lack the creative and intuitive thinking that human experts possess. Therefore, it's unrealistic to expect AI to completely replace human involvement in decision-making and analysis. Human-machine integration emphasizes the central role of people in the system, while allowing machines to support and enhance human capabilities. This collaboration fosters mutual understanding and cooperation, enabling both humans and machines to complement each other effectively.
**2. Virtual Reality Technology**
Virtual reality is a key enabler of virtual manufacturing and plays a crucial role in achieving advanced human-machine integration. It combines computer-based signal processing, animation, intelligent reasoning, simulation, and multimedia technologies to create realistic visual and auditory representations of real-world processes. This technology allows for the visualization of future products and provides users with a highly immersive experience. As a modern interface between humans and machines, it stands out as a distinctive feature of intelligent manufacturing.
**3. Self-Organizing and Ultra-Flexible**
Each component in an intelligent manufacturing system can reconfigure itself to form the most optimal structure based on task requirements. This flexibility extends beyond operational modes to structural forms, making the system ultra-flexible—similar to a group of human experts with biological adaptability.
**4. Learning Ability and Self-Maintenance**
Intelligent manufacturing systems continuously expand their knowledge base through practical experience and have self-learning capabilities. During operation, they can diagnose issues and maintain themselves autonomously. This ability allows them to self-optimize and adapt to complex environments, enhancing overall efficiency and reliability.
**Which Industries Belong to Smart Manufacturing?**
Self-discipline is the ability of a system to gather and interpret environmental and internal information, analyze it, and plan its actions accordingly. Devices with self-discipline are called "smart machines." These machines exhibit a degree of independence, autonomy, and individuality, and can even coordinate or compete with one another. A strong knowledge base and knowledge-based model are essential for self-discipline.
Intelligent manufacturing technology consists of four levels: automation, information, internet, and intelligence. The industry chain includes smart equipment (such as robots, CNC machines, service robots, and other automated devices), industrial Internet (including machine vision, sensors, RFID, and industrial Ethernet), industrial software (like ERP, MES, DCS), 3D printing, and system integration solutions that combine these elements.
The intelligent industry chain is divided into four components: "basic," "core," "application," and "service." Each segment can form a larger industrial cluster. The basic industry includes electronic and optical components, precision parts, optoelectronic materials, and smart materials, which serve as foundational elements without independent application functions.
The core industry comprises functional components like sensing, transmission, computation, and control, including computer equipment, network devices, instrumentation, integrated circuits, IoT technologies, and software. The application industry involves end-user fields such as smart grids, intelligent transportation, smart cars, smart healthcare, smart buildings, and more, driving the development of the intelligent industry through technical complexity and relevance.
From different application fields, some focus on daily life, others on production, and some on comprehensive solutions. For example, smart grids cover a wide range, influencing industries like new materials, power electronics, battery manufacturing, and electric vehicles. Smart cars and smart homes are two of the most impactful areas, offering significant market potential.
Intelligent automotive systems include features like smart wipers, automatic headlights, and intelligent air conditioning. The widespread use of electronic technologies opens up broad prospects for automotive intelligence. Similarly, smart homes involve building management, security monitoring, and automation, with early implementations seen in residential areas.
In conclusion, intelligent manufacturing represents a major transformation in the production sector. Automation upgrades are key to China’s manufacturing industry, focusing on replacing manual and non-intelligent equipment with smart alternatives. This transition is vital for improving productivity and product quality.
First, basic concepts
A Power Inverter is a power electronic device whose primary function is to convert direct current (DC) to alternating current (AC). This conversion is critical in a variety of application scenarios, especially where DC power (such as solar panels, battery packs, etc.) needs to be converted to AC power for use by household appliances, industrial equipment, or power systems.
Second, the working principle
The inverter is quickly switched through internal electronic switching devices (such as MOSFETs, IGBTs, etc.) to produce alternating current close to sine waves. These switching devices operate according to specific control strategies to ensure that the output AC has a stable voltage, frequency and waveform quality.
3. Key parameters
The performance of the inverter can be evaluated by the following key parameters:
Rated power: The maximum power that the inverter can continuously output.
Conversion efficiency: The proportion of energy lost during the conversion of direct current to alternating current by the inverter.
Output voltage/frequency: The voltage and frequency of the AC output by the inverter.
Waveform distortion: The degree of difference between the inverter output waveform and the standard sine wave.
Protection function: inverter built-in overload protection, short circuit protection, overtemperature protection and other safety functions.
Solar system inverter, solar power inverter, DC power inverter
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