introduction

T200-410-J-0AA1 The widespread application of industrial robots has promoted the rapid development of the manufacturing industry, but as the manufacturing industry moves toward intelligent manufacturing, the traditional application of industrial robots has been unable to meet the core requirements of self-sensing, flexibility, high speed and customization of intelligent manufacturing. Based on the demand model of intelligent manufacturing, this paper analyzes the application trend of industrial robots in the era of intelligent manufacturing, and takes the intelligent application of industrial robots in an auto parts manufacturing enterprise in Thailand as an example to introduce the methods and effects of intelligent application of industrial robots in detail, so as to provide reference for the intelligent application of industrial robots in the era of intelligent manufacturing.

01 Introduction

Industrial robots, also known as robotic arms, were first developed to replace human labor. With the continuous development of manufacturing and industrial automation technology, people gradually have higher and higher requirements for manufacturing efficiency and ergonomics, so robots T200-410-J-0AA1 have been widely used in the manufacturing industry. In recent years, the state has continuously improved the industrial policy for the development of intelligent manufacturing, accelerated the intelligent transformation of traditional manufacturing, and encouraged and supported industrial enterprises to develop in the direction of intelligence. The “Robot +” application action Implementation plan proposes that “By 2025, the density of robots in the manufacturing industry will double that of 2020, the application depth and breadth of service robots and special robots industries will be significantly improved, focusing on 10 key application areas, and breaking through more than 100 innovative application technologies and solutions for robots.”

T200-410-J-0AA1

Promote more than 200 typical application scenarios of robots with high technical levels, innovative application modes and significant application results, and fully support the development of the robot industry.” The traditional application method of industrial robots is basically to complete the point-to-point fixed actions after instruction under the control of fixed programs, such as picking, handling, gluing, machining and other fixed trajectory operations, which cannot get rid of the control of established programs to independently explore the operating process in an unknown environment. The intelligent manufacturing based on the goal of Industry 4.0 has issued a new challenge to the ability of industrial robots, which requires industrial robots to develop from the traditional application mode to the intelligent application mode.

02 Intelligent Manufacturing

2.1 Intelligent manufacturing and industrial robots

In recent years, the concept of industry 4.0 has triggered a big discussion T200-410-J-0AA1 and a big change in the manufacturing model, and people’s understanding has changed from lean production to intelligent production, and the ensuing “intelligent manufacturing” has become a hot word in this era. According to the definition of Intelligent Manufacturing published by the National Manufacturing Power Construction Strategy Advisory Committee and the Strategic Consulting Center of the Chinese Academy of Engineering, intelligent manufacturing is based on the new generation of information technology such as the Internet of Things, cloud computing, big data, and runs through all aspects of manufacturing activities such as design, production, management, and service. A general term for advanced manufacturing processes, systems and modes with functions such as self-sensing of information depth, intelligent optimization and self-decision-making, precise control and self-execution. Therefore, the application process of industrial robots under intelligent manufacturing needs to meet the core requirements of self-sensing, flexibility, high speed and customization. Through sensor technology and intelligent computing control technology, the robot has the ability to actively acquire external information and actively analyze and control motion. Enhance the industrial robot’s active adaptation to the environment and get rid of the constraints of the unknown environment on its operation.