Injection moulding machine to 4.0 intelligent is still far away

Looking back at the history of past industrial revolutions, the emergence of each industrial revolution will bring a huge leap forward in productivity. The injection moulding industry, as the moulding industry of most products, is closely related to Industry 4.0, both from the perspective of technology and industrial market. So, how far is the injection moulding machine industry from Industry 4.0? What are the research results of the current injection moulding machine enterprises in intelligent manufacturing?
Since the concept of industry 4.0 was unearthed, and its prospects and potential to understand, whether it is the country, or large enterprises, industry 4.0 will be elevated to the strategic level of a few. In terms of the current environment, the injection moulding industry in industry 4.0, although the expansion of the results, but still in the initial state, the road to the popularity of intelligence is still far away, the majority of enterprises are still the traditional mechanical and electromechanical integration mode. And want to take a good injection moulding machine industry industry 4.0 road, we need to continue in the equipment intelligence, production intelligence, service intelligence. Three step by step, to achieve equipment intelligence to achieve production intelligence, production intelligence to achieve production data, production data and then promote service intelligence.
Intelligence in injection moulding machine equipment is not only reflected in the hardware, but also in the application of software. In this regard, Bochuang Intelligence integrates the mould temperature machine, water chiller, dryer, loading machine, robot and so on in the whole process of injection moulding, and through their interconnection and cloud collaborative management, it builds the overall solution of injection moulding industry 4.0 and provides it to the customers. Through the intelligent industrial internet platform of injection moulding machine, it can help customers to achieve staff optimisation, inventory optimisation and improve efficiency. The current intelligent mutual assistance technology has been able to help injection moulding factories improve efficiency by 30%, for example, the original ten managers now only need seven. On the production side, technology researchers are already focusing on injection moulding robots, and at Fakuma 2017, the Sepro Group presented its 'Open 4.0' concept, with a long-term commitment to provide openness, transparency, convenience and choice through intelligent next-generation robots and their control systems. With the use of the connectivity and control applications OptiCycle and Live Support, Sepro is now able to equip any manufacturer's injection moulding machine with a robotic automation solution, whether it is a new or previously installed machine.
Intelligence in injection moulding machine service is mainly in the form of information follow-up and feedback, where all the equipment in the factory will be connected to the data, so that the decision maker can always be aware of the status of the production. The injection moulding production MES software has been developed to provide enterprises with an effective way of transparent management of the injection moulding production process. By connecting injection moulding machines and all kinds of injection moulding peripheral equipments, real-time troubleshooting, dealing with abnormal operations, carrying out quality statistical analysis, executing flexible scheduling decision-making, etc., it can help enterprises to continuously improve the utilization rate of their equipments, thus enhancing the level of enterprises' overall intelligent production and information management and control. Of course, in the richness of the above powerful functions, the evolution of the injection moulding machine is still in the tender stage, the future in the case of AI technology intervention, plastics machinery in the automatic search, self-correction and independent innovation, etc. There are still huge prospects for mining.