The industrial AI nutrient optimization system (Phase 1) for the first compound fertilizer roller production line of Xinlianxin Group was put into operation

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On September 2, it was learned from Henan Xinlianxin Chemical Industry Group Co., Ltd. (hereinafter referred to as “Xinlianxin Group”) that the group has recently successfully completed the trial operation of the Industrial AI Nutrient Optimization System (Phase I) on the roller production line for compound fertilizers in Xinjiang. For a long time, the production of compound fertilizers using the drum process has relied on manual experience to determine precise formulations, which not only results in low efficiency and high labor costs but also makes it difficult to respond promptly to changes in raw material requirements. After more than 200 days of continuous efforts, Xinlianxin Group, through in-depth analysis of production processes and workflows and by leveraging AI large-model technology, systematically developed an industrial AI nutrient optimization system. The system comprises six core modules: industrial AI algorithms, a data asset platform, human-machine interaction, a quality stability system, efficiency improvement solutions, and a real-time monitoring system. Through this system, the automation of the production process for compound fertilizers was successfully achieved, overcoming the key technical challenges related to the stable control of nutrients when using multiple types of raw materials under complex operating conditions. By integrating industrial AI with digital platforms, it was possible to achieve dynamic optimization of compound fertilizer formulations and precise control of production costs. Additionally, this approach helped reduce the costs associated with raw materials in roller conveyor production lines, thereby verifying the feasibility of industrial AI technology. Xinlianxin Group has always been committed to improving production efficiency and product quality through technological innovation. As one of the first industrial AI application demonstrations in this field in China, the Industrial AI Nutrient Optimization Project fully demonstrates the revolutionary advantages of intelligent manufacturing. By deeply integrating real-time production data, multi-dimensional quality metrics, and equipment operation status, along with process knowledge bases and intelligent optimization algorithms, this system autonomously generates precise formulation tuning strategies ； At the same time, the deployment of this system has significantly reduced manual repetitive tasks, greatly shortened the cycle for problem diagnosis and resolution, and enabled fully automatic optimization and precise control of formula parameters. It has eliminated the reliance on traditional manual experience, allowing for a simultaneous increase in production efficiency and economic benefits with limited investment.