Error-free and safe operation of chemical plants

By matching chemical plant configuration data with a data-driven model, the problem of complex and time-consuming formulation of chemical plant operation instructions has been solved, enabling rapid and reliable safety operation assessment and efficiency improvement, and adapting to production changes and risks.

CN122422889APending Publication Date: 2026-07-17BASF SE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BASF SE
Filing Date
2024-12-13
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies are time-consuming, complex, and prone to human error in the formulation and application of operating instructions in chemical plants, resulting in low operating efficiency, inconsistent safety measures, and an inability to respond quickly to immediate events or changes in production flow.

Method used

By providing requests to verify the current configuration data, a data-driven model is used to match the target configuration data with the current configuration data, generating verification instructions to monitor and control chemical plant operations. By combining unstructured and structured data processing, customized safety measures can be quickly identified and adapted to production changes.

Benefits of technology

It enables rapid and reliable assessment of chemical plant operations and the unified application of safety measures, improving operational efficiency, shortening the time to commissioning of new chemical plants, and better responding to changes in production flow and risks, while reducing operational errors.

✦ Generated by Eureka AI based on patent content.

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Abstract

披露了一种用于控制化工厂的方法,该方法包括:提供包括用于验证与被配置为控制一个或多个目标化工厂的至少一部分的当前操作指令相关联的当前配置数据的验证任务指令的请求,其中,该请求与一个或多个目标化工厂的至少一部分以及当前配置数据相关联;从与被配置为触发一个或多个化工厂的目标操作指令相关联的目标配置数据中选择与一个或多个目标化工厂相关联的目标配置数据的至少一部分,其中,该一个或多个化工厂包括该一个或多个目标化工厂;‑ 通过将与目标配置数据的至少该部分、验证任务指令及当前配置数据相关的匹配任务指令提供给数据驱动模型,将目标配置数据的至少该部分与当前配置数据进行匹配,其中,该数据驱动模型被配置为在确定目标配置数据的至少该部分与当前配置数据之间的偏差时提供目标配置数据子集,并且以其他方式提供关于当前配置数据的验证指示;提供目标配置数据子集或关于当前配置数据的验证指示,以用于控制一个或多个目标化工厂。
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