In the new round of technological revolution and industrial transformation, artificial intelligence is undoubtedly one of the powerful driving forces, reshaping the global economic and social development pattern and promoting human civilization to a new height. Facing this wave of The Times, governments across the country have been actively making plans and introducing a series of policies and measures to support the innovative development of artificial intelligence, striving to seize the commanding heights of development.
To achieve the grand goal of leading the country in general core technologies and industrial applications, and having the province's core artificial intelligence industries above designated size generate over one trillion yuan in operating income. To achieve this goal, Zhejiang has put forward 27 specific and powerful measures in multiple dimensions, including the creation of an innovative ecosystem, the recruitment and cultivation of talents, the matching and supply of computing power, the open supply of data, and the research and application of models. In terms of fostering an innovative ecosystem, we will vigorously cultivate manufacturing "single champions", national "specialized, refined, distinctive and innovative" small and medium-sized enterprises, and provincial "hidden champions" in the field of artificial intelligence. We will also layout industrial platforms (parks), attract and cultivate high-growth enterprises in key links, and build a full industrial chain development pattern. In terms of talent policies, we will explore new evaluation criteria, breaking away from the orientation of "valuing only papers, titles, academic qualifications and awards". We will take salary and benefits, as well as the citation volume of codes, as important bases. Talents with high salaries and rich experience can be directly recognized as provincial-level relevant talents. Every year, more than 10 top talents will be introduced. Provincial and municipal talent projects will be set up in separate tracks. Support over 300 artificial intelligence talents every year. In terms of key elements such as data, computing power and algorithms, support will be provided for the construction of trusted data Spaces and high-end data annotation platforms, the issuance of corpus vouchers, the establishment of "chip-model linkage" adaptation bases, the cultivation of public cloud services, the strengthening of basic and vertical model research and development, and the encouragement of compliance filing, etc.
It is used for the training and application of large artificial intelligence models in the industry. The maximum amount of computing power vouchers that an enterprise can apply for at one time can reach 20% of the intelligent computing power contract amount. The cumulative application and redemption amount of the same enterprise in a year shall not exceed 2 million yuan.
These favorable policies, like a timely rain, have brought numerous development opportunities to food machinery manufacturing enterprises. In terms of improving production efficiency, in the past, food production relied heavily on manual operations, which were inefficient and prone to errors. Nowadays, with the integrated application of cutting-edge technologies such as artificial intelligence, big data and the Internet of Things in food machinery, intelligent and automated production has become a reality. The smart oven can collect data through sensors based on the ingredients and baking requirements, and automatically and precisely adjust the temperature and time with the help of artificial intelligence algorithms to ensure the stability of product quality. The automated production line achieves seamless connection throughout the entire process from raw material transportation to warehousing and logistics, significantly reducing manual intervention. While lowering costs, it also greatly enhances production efficiency, enabling enterprises to produce more high-quality products in a shorter time and meet the rapidly growing market demand.
Artificial intelligence plays a key role in ensuring food safety. By using image recognition technology, food on the production line can be monitored in real time, and problems such as appearance defects and foreign objects mixed in can be detected promptly, preventing substandard products from entering the market. Through data analysis, it is also possible to deeply mine production data, issue early warnings of potential food safety risks, and enable enterprises to take preventive measures in advance. For instance, when personalized intelligent robots enter the catering service sector, they strictly adhere to high-standard safety regulations from design to operation, effectively reducing food safety issues caused by human factors.
Consumers' increasingly diverse and personalized demands for food have driven the food machinery industry to develop in the direction of personalized customization. Artificial intelligence technology enables food machinery manufacturers to accurately grasp customer demands. By analyzing customer data and using artificial intelligence to simulate and optimize designs, they can tailor equipment for food enterprises of different scales and with different needs. Whether it is the demand of small specialty food enterprises for niche food production equipment or the customization of high-end and complex production lines by large food groups, all can be met, thereby helping food enterprises develop more distinctive products and satisfy consumers' personalized taste demands.
However, while food machinery manufacturing enterprises seize the opportunities, they also need to face up to the challenges. In terms of technical talents, artificial intelligence technology is highly specialized. Food machinery enterprises often lack compound talents who are proficient in both food machinery professional knowledge and artificial intelligence technology. To a certain extent, this restricts the in-depth application and innovative development of artificial intelligence technology by enterprises. In the field of data security, as the degree of production intelligence increases, enterprises collect, store and use a large amount of production data and customer data. Once the data is leaked, it will cause huge losses to the enterprise. How to ensure data security has become an important issue faced by enterprises.
The policies of local governments that strongly support the innovative development of artificial intelligence have brought broad development space to food machinery manufacturing enterprises. Enterprises should actively respond to policy calls, increase investment in the research and development and application of artificial intelligence technologies, strengthen talent cultivation and introduction, and enhance data security management capabilities. Only in this way can we achieve our own transformation and upgrading in the wave of artificial intelligence, contribute to the high-quality development of the food industry, seize the initiative in the fierce market competition, and realize sustainable development.
