2results about How to "Improve management quality" patented technology

This invention relates to the technical field of agricultural production management and discloses a collaborative management method and system for agricultural production processes based on multiple intelligent agents. The method intelligently and accurately selects the agricultural production guidance agents needed for user-side agricultural production based on user-side agricultural production stage location data, user-side agricultural production process analysis data, artificial intelligence algorithms, and standard agricultural production stage information for different agricultural production guidance agents. Furthermore, it intelligently formulates guidance suggestions for user-side agricultural production problems based on agricultural production problem characteristic data, user-side agricultural production stage location data, user-side agricultural production process analysis data, user-side agricultural production guidance agent characteristic data, and in conjunction with agricultural management platforms and internet platforms. This enables the comprehensive and reliable formulation of highly scenario-based and operable agricultural production guidance suggestion data based on multiple agricultural production guidance agents, achieving intelligent and convenient agricultural production management for users.

This invention relates to the field of tire manufacturing technology, and in particular to a digital twin system and method for tire production, comprising: a multimodal data acquisition layer, a holographic quality archive construction layer, an intelligent matching and decision optimization layer, a flexible sorting execution layer, and a data service and interaction platform. It completely breaks down data silos, establishing a complete and structured digital twin archive for each tire, improving management quality. Furthermore, the system no longer performs simple binary judgments, but instead seeks the optimal match between tires and orders, maximizing the satisfaction of personalized customer needs and significantly enhancing product added value and customer satisfaction. Secondly, through a multi-objective optimization algorithm, it can comprehensively consider multiple factors such as inventory, order priority, and sorting efficiency to achieve intelligent scheduling and optimal allocation of tire inventory, reducing the waste of high-quality tires and the ineffective inventory of substandard tires, thereby improving overall operational efficiency.