阅读说明：本技术 用于改进化学品生产过程的方法 (Method for improving chemical production process ) 是由 A·利丁 J·普莱泽尔 S·波塔拉朱 A·克纳克 M·格梅因哈特 于 2019-01-15 设计创作，主要内容包括：本发明涉及一种用于改进化学品生产过程的方法,其中在化学品生产设施(2a,b)处基于至少一些衍生物过程参数(3a,b)通过衍生物化学品生产过程生产衍生物化学产品(1a,b),所述化学品生产设施(2a,b)包括设施内联网(4a,b),其中通过设施内联网(4a,b)内的生产传感器计算机系统(5a,b)从衍生物化学品生产过程测量至少一些衍生物过程参数(3a,b)并且其中用于模拟衍生物化学品生产过程的过程模型(6)被记录在设施内联网(4a,b)外部的过程模型管理计算机系统(7)中。该方法的特征在于,将过程模型(6)从过程模型管理计算机系统(7)传输到计算模块(8a,b)用于执行数值分析,该计算模块(8a,b)在设施内联网(4a,b)内,其特征在于衍生物过程参数(3a,b)被提供给计算模块(8a,b),其特征在于计算模块基于衍生物过程参数(3a,b)和过程模型(6)通过数值分析确定(8a,b)用于更新过程模型(6)的修改数据(9a,b),其特征在于计算模块(8a,b)防止衍生物过程参数(3a,b)被传送到设施内联网(4a,b)外部并且其特征在于计算模块(8a,b)防止对过程模型(6)和修改数据(9a,b)的读取访问。本发明还涉及用于化学品生产过程的相应系统。(The invention relates to a method for improving a chemical production process, wherein a derivative chemical product (1a, b) is produced by a derivative chemical production process at a chemical production facility (2a, b) based on at least some derivative process parameters (3a, b), the chemical production facility (2a, b) comprising a facility intranet (4a, b), wherein at least some derivative process parameters (3a, b) are measured from the derivative chemical production process by a production sensor computer system (5 a, b) within the facility intranet (4a, b) and wherein a process model (6) for simulating the derivative chemical production process is recorded in a process model management computer system (7) outside the facility intranet (4a, b). The method is characterized in that the process model (6) is transmitted from the process model management computer system (7) to a calculation module (8a, b) for performing a numerical analysis, the calculation module (8a, b) being within the facility intranet (4a, b), characterized in that the derivative process parameters (3a, b) are provided to the calculation module (8a, b), in that the calculation module determines (8a, b) modification data (9a, b) for updating the process model (6) by the numerical analysis based on the derivative process parameters (3a, b) and the process model (6), in that the calculation module (8a, b) prevents the derivative process parameters (3a, b) from being transmitted outside the facility intranet (4a, b) and in that the calculation module (8a, b) prevents the modification data (9a, b) is read access. The invention also relates to a corresponding system for a chemical production process.)

1. A method for improving a chemical production process, wherein a derivative chemical product (1a, b) is produced by a derivative chemical production process at a chemical production facility (2a, b) based on at least some derivative process parameters (3a, b), the chemical production facility (2a, b) comprising a facility intranet (4a, b), wherein at least some derivative process parameters (3a, b) are measured from the derivative chemical production process by a production sensor computer system (5 a, b) within the facility intranet (4a, b) and wherein a process model (6) for simulating the derivative chemical production process is recorded in a process model management computer system (7) outside the facility intranet (4a, b), characterized in that the process model (6) is transmitted from the process model management computer system (7) to a calculation module (8a, b) within a facility intranet (4a, b), the calculation module (8a, b) being characterized in that the derivative process parameters (3a, b) are provided to the calculation module (8a, b), in that the calculation module determines (8a, b) modification data (9a, b) for updating the process model (6) by means of numerical analysis on the basis of the derivative process parameters (3a, b) and the process model (6), in that the calculation module (8a, b) prevents the derivative process parameters (3a, b) from being transmitted outside the facility intranet (4a, b) and in that the calculation module (8a, b) prevents read access to the process model (6) and the modification data (9a, b).

2. The method according to claim 1, characterized in that the derivative process parameters (3a, b) comprise derivative process settings (10a, b) and derivative production measurements (11 a, b), preferably in that the derivative chemical product (1a, b) is produced by a derivative chemical production process based on the derivative process settings (10a, b), in particular in that the derivative production measurements (11 a, b) are determined from the derivative chemical production process by a production sensor computer system (5 a, b).

3. Method according to claim 1 or 2, characterized in that the derivative process parameters (3a, b) comprise recipe data for specifying ingredients of the derivative chemical production process, preferably in that the recipe data comprises specifications for the proportions, weights, temperatures and/or volumes of the respective ingredients.

4. A method according to claim 3, characterized in that the binding process model (6) determines the derivative process settings (10a, b) at least partly on the basis of a derivative product specification (13a, b) regarding the properties of the derivative chemical product (1a, b), preferably by means of a calculation module (8a, b), in particular in that the calculation module (8a, b) prevents the derivative product specification (13a, b) from being transmitted outside the facility intranet (4a, b).

5. The method according to one of claims 1 to 4, characterized in that modification data (9a, b) is transmitted from the calculation module (8a, b) to an update recipient computer system outside the facility intranet, in particular a process model management computer system (7), and in that the process model (6) is updated based on the modification data (9a, b), preferably in that the updated process model (6) is transmitted to the calculation module (8a, b) for replacing the previous process model (6).

6. The method according to one of the claims 1 to 5, characterized in that a precursor feed (15a, b) of precursor material for the production of the derivative chemical product (1a, b) is produced by a precursor production process at a precursor production facility (14) remote from the chemical production facility (1a, b), characterized in that the precursor feed (15a, b) is transported to the chemical production facility (2a, b) and used in the derivative chemical production process, preferably in that the derivative process settings (10a, b) are based on precursor production data (16a, b) associated with the precursor feed (15a, b).

7. The method according to claim 6, characterized in that the derivative process parameters (3a, b), in particular the derivative process settings (10a, b), are determined at least in part on the basis of the precursor production data (16a, b) in conjunction with the process model (6), preferably in that the derivative process settings (10a, b) are determined at least in part by means of a calculation module (8a, b), in particular in that the calculation module (8a, b) prevents read access to the precursor production data (16a, b).

8. The method according to claim 6 or 7, characterized in that the process model (6) comprises a precursor production model (17) for simulating a precursor production process and in that the precursor production data (16a, b) is at least partly based on precursor production settings (18a, b) for specifying a precursor production process, in particular determined in connection with the precursor production model (17), preferably in that the precursor production data (16a, b) is at least partly determined by the process model management computer system (7).

9. The method according to claim 8, characterized in that the precursor production settings (18a, b) are determined at least in part, preferably by means of a process model management computer system (7), based on user specifications, in particular derivative product specifications (13a, b), in connection with the precursor production model (17), further preferably in that upon an update of the process model (6), the precursor production settings (18a, b) are also updated in accordance with the updated process model (6).

10. Method according to one of the claims 5 to 9, characterized in that the precursor production data (16a, b) is based at least in part on precursor production measurements (19a, b) determined from a precursor production process, preferably in that the precursor production measurements (19a, b) are provided to a process model management computer system (7).

11. Method according to one of the claims 1 to 10, characterized in that the chemical production (2a, b) facility comprises a computer controlled production device (12 a, b) for performing a derivative chemical production process and in that derivative process parameters (3a, b), in particular derivative process settings (10a, b), are provided to the computer controlled production device (12 a, b) for controlling the derivative chemical production process, preferably in that the computer controlled production device (12 a, b) is within a facility intranet (4a, b).

12. A method according to claim 11, characterized in that the calculation module (8a, b) updates the derivative process settings (10a, b) when the updated process model (6) is transmitted to the calculation module, preferably in that the updated derivative process settings (10a, b) are supplied to a computer-controlled production device (12 a, b) for controlling the derivative chemical production process.

13. Method according to one of the claims 1 to 12, characterized in that a plurality of derivative chemical products (1a, b) are produced at respective chemical production facilities (2a, b), each of which comprises a separate respective facility intranet (4a, b), in that a process model (6) is transmitted from a process model management computer system (7) to a respective calculation module (8a, b) for performing a numerical analysis within each facility intranet (4a, b) and in that each calculation module (6) determines by numerical analysis respective modification data (9a, b) for updating the process model (6) based on the derivative process parameters (3a, b) and the process model (6) at the respective chemical production facility (2a, b).

14. A method according to claim 13, characterized in that modification data (9a, b) is transmitted from each calculation module (8a, b) to the process model management computer system (7), characterized in that the process model (6) is updated on the basis of the respective modification data (9a, b) from each of the calculation modules (8a, b) and in that the updated process model (6) is transmitted to each calculation module (8a, b) for replacing the previous process model (6).

15. A system for a chemical production process, comprising a chemical production facility (2a, b) for producing a derivative chemical product (1a, b) by a derivative chemical production process based on at least some derivative process parameters (3a, b), the chemical production facility (2a, b) comprising a facility intranet (4a, b) and comprising a production sensor computer system (5 a, b) within the facility intranet (4a, b), wherein at least some derivative process parameters (3a, b) are measured from the derivative chemical production process by the production sensor computer system (5 a, b), wherein the system further comprises a process model management computer system (7) external to the facility intranet (4a, b) for recording a process model (6) for simulating the derivative chemical production process, wherein the system further comprises a calculation module (8a, b) within the facility intranet (4a, b), characterized in that the process model management computer system (7) is configured to transmit the process model (6) to the calculation module (8a, b), in that the calculation module (8a, b) is configured to determine modification data (9a, b) for updating the process model (6) by numerical analysis based on the derivative process parameters (3a, b) and the process model (6), in that the calculation module (8a, b) is configured to prevent the derivative process parameters (3) from being transmitted outside the facility intranet (4a, b) and in that the calculation module (8a, b) is further configured to prevent read access to the process model (6) and the modification data (9a, b).