Efficiency has increased by up to 50%, and the failure rate has dropped by 80%. These are the remarkable results of the industrial revolution led by artificial intelligence (AI).
At present, in the field of industrial manufacturing, a profound change led by artificial intelligence is quietly emerging.
Automated factories that once relied on robotic arms and preset programs now have “smart” brains and have opened a new chapter of development.
From “automation” to “intelligence”, traditional industrial automation mainly solves the problem of “replacing human hands”, while artificial intelligence has to overcome the problem of “replacing the human brain”.
In the past automated factories, machines could only perform precise operations in strict accordance with preset instructions, lacking the ability to flexibly respond to changes, keenly identify abnormal situations, and make decisions independently.
And this precisely provides a stage for artificial intelligence to show its talents, promoting the upgrade of machines from simple “hands-on operation” to being able to “use brains to think.”
AI has six major application scenarios in industrial automation.
In terms of intelligent quality inspection, it goes beyond the limits of the human eye.
Traditional manual quality inspection is not only inefficient, but also highly susceptible to fatigue, emotion and other factors.
Today, AI visual inspection technology is comprehensively revolutionizing this status quo and bringing about disruptive changes.
AI can not only discover tiny defects that are difficult to detect with the human eye, but also continuously optimize detection standards through continuous learning, truly realizing “the more you use it, the smarter it gets.”
Predictive maintenance realizes the transformation from “fixing when it’s broken” to “predicting when it’s not broken”.
The traditional maintenance model faces a dilemma: regular maintenance can easily fall into the embarrassing situation of being too early or too late, while repairs after a failure has often caused losses.
Today, AI predictive maintenance brings new hope to break this dilemma.
The technical principle is that by analyzing equipment operation data, vibration frequency, temperature changes and other parameters, the AI model can predict the probability of failure hours or even days in advance, so that maintenance work can be carried out “just right”.
Intelligent process optimization allows the production process to “self-evolve”.
AI is not just limited to monitoring the production process. It can also proactively optimize and adjust production process parameters to achieve the goals of quality improvement and efficiency growth.
For example, during the injection molding process, AI can control temperature and pressure parameters in real time, effectively reducing the defective rate; during welding operations, AI can automatically optimize welding parameters based on material thickness and ambient temperature to ensure optimal welding quality.
This “self-optimization” feature promotes the production process from static “experience-led” to dynamic “data-led”.
Autonomous robots become more flexible and smarter for collaboration.
Traditional industrial robots can only repeat set tasks step by step in a structured environment, but AI-empowered robots are completely different. They have the ability to sense, understand the environment and adapt flexibly.
Its breakthrough progress is reflected in many aspects: the disordered grasping robot can accurately identify the target object in the messy pile of parts and successfully grasp it; the adaptive welding robot can adjust its running trajectory in real time even if the position of the workpiece deviates to achieve precise welding; the human-machine collaborative robot can understand the intentions of human workers and achieve safe and efficient human-machine collaboration.
Intelligent scheduling and logistics allow materials to flow “smartly”.
The AI-based production scheduling system can respond to order changes, equipment status, material supply and other constraints in real time, generate optimal production plans, and ensure that materials can flow “smartly” in the production process.
Intelligent energy management enables every kilowatt hour of electricity to be fully utilized.
In manufacturing industries with high energy consumption, AI energy management systems can comprehensively combine production plans, equipment operating conditions, real-time electricity prices, etc. to automatically optimize and adjust energy consumption strategies to achieve efficient use of every kilowatt hour of electricity.
Although AI has shown great potential in the field of industrial automation, it still faces many difficulties in practical applications, such as low data quality, shortage of professional talents, and complex system integration.
Looking to the future, its development will show the following trends: integration, AI will be deeply integrated with 5G, digital twins, edge computing and other technologies to form a complete intelligent manufacturing technology system, bringing stronger technical support to industrial production; civilianization, the emergence of low-code/no-code AI platforms will significantly
By reducing the difficulty of AI application, small and medium-sized manufacturing companies can also enjoy the dividends brought by the development of AI, promoting the popularization of intelligent manufacturing; autonomy, evolving from single-point intelligence to system-level autonomy, and ultimately realizing “unmanned autonomous decision-making” smart factories, making the production process more automated and intelligent.
AI is redefining “manufacturing” itself.
The deep integration of AI into industrial automation will not only bring about a significant increase in efficiency and an effective reduction in costs, but also a complete subversion of the traditional manufacturing model.
The manufacturing system is no longer limited to passively executing instructions, but has transformed into a “smart partner” that can proactively sense environmental changes, deeply analyze data information, and make independent decisions and actions.
For manufacturing companies, embracing AI is no longer a multiple-choice question, but a must-answer question.
Those companies that can take the lead in deeply integrating AI technology into their production processes will seize the opportunity and gain a competitive advantage in the new round of industrial revolution.
The factories of the future will break through the limitations of “automation” and climb to a new level of “intelligence.”
By then, machines will not only replace manual operations, but also extend the boundaries of human thinking, leading the manufacturing industry to a new era of intelligence.
Changlin Intelligent Robot is the first pan-human resources service business model that uses robots as employees.
Changlin Intelligence provides “ready-to-recruit” labor services. Enterprises do not need to purchase equipment and only pay according to working hours or output.
Each robot is driven by an AI algorithm and can quickly adapt to different positions, working from 8 hours to 24 hours a day.
More importantly, this model allows small and medium-sized enterprises to enjoy the dividends of automation upgrades with zero fixed asset investment.
The applicable scenarios apply to manufacturing and service industries, especially repetitive jobs in the manufacturing industry.
Changlin Intelligence’s mission is to replace repetitive labor with AI robots, so that small and medium-sized factories no longer worry about “difficulty recruiting workers” and let Chinese manufacturing maintain an advantage in global competition.
Changlin Intelligent was founded in 2015, investing 40 million yuan in research and development expenses, and owns a number of invention patents. It was rated as a “contract-abiding and trustworthy” enterprise from 2018 to 2020; it was recognized as a high-tech enterprise by the state in 2019; it passed the quality management system certification (ISO9001) and the intellectual property management system certification in 2022 and 2024 respectively. It is now an intellectual property demonstration enterprise in Guangdong Province.
The development of Changlin Intelligent relies on the national market channels, high-quality customers and strong financial support of the parent company Ribo Group. It has established a service delivery network of “composite core management team + front-line operation services” with 270+ service outlets across the country, which can fully understand customer needs and respond quickly.
With the business model of “robots + human resources”, we provide packaging production outsourcing services for pharmaceutical, food, logistics and other companies.
By providing free intelligent equipment to enterprises, using service outsourcing and machine replacement models, we can help enterprises solve problems such as labor costs, labor shortages, and labor risks while ensuring increased production capacity, improved efficiency, and stable and controllable quality, and enhance the core competitiveness of enterprises.
