IP Library Granted Patent US 12663784
Granted Patent B2
US 12663784 · App. 18/033,839 · Granted Jun 23, 2026

Control method for an industrial plant defining points of interest by aggregating data, control signals, and video-audio contents

Inventors: Marco Ometto (Pasian di Prato, IT); Davide Onesti (Cividale del Friuli, IT)
Assignee: DANIELI AUTOMATION S.P.A.
G05B19/41865G05B19/41875
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Quick Facts
Patent No.
US 12663784
App. No.
18/033,839
Granted
Jun 23, 2026
Kind
B2
Abstract

Control method for an industrial plant including the acquisition of a plurality of measurement data relating to the components of a plant and/or to a product being worked, their storage in a storage device and simultaneously their transmission to an automation system which uses said measurement data to generate respective control signals.

Claims (22)

1 . A control method for an industrial plant ( 10 ) comprising:

acquiring a plurality of measurement data (D) relating to components ( 11 ) of a plant and/or to a product being worked;

storing the plurality of measurement data in a storage device ( 14 ); and

transmitting the plurality of measurement data to an automation system ( 15 ) which uses said measurement data (D) to generate respective control signals (CS),

said measurement data (D) and said control signals (CS) being transmitted to an interactive platform ( 16 ; 16 a , 16 b ),

wherein a first interactive platform ( 16 a ) comprises at least one device ( 21 ) for assisting an operator, having a control unit ( 23 ) which, in a control step, uses suitable verification rules (R) and continuously compares said measurement data (D), combining said measurement data (D) with said control signals (CS) and with control commands, given by an operator, in order to identify specific operational events characteristic of a process,

wherein each of said operational events defines a point of interest (POI) which is an aggregation of measurement data (D), operational control signals (CS) and also video-audio contents relating to a determinate time window prior to and following said event on the basis of said verification rules (R), and

wherein said points of interest (POI) are generated automatically by said control unit ( 23 ),

wherein said control unit ( 23 ) is configured to automatically process information relating to said points of interest (POI) and to suggest optimal sequences of commands in order to prevent reaching an unwanted event that is about to occur, or to remedy a problem that has already occurred.

2 . The method as in claim 1 , further comprising an analysis step carried out at the end of said process after said control step, in which a processing unit ( 27 ) of a second interactive platform ( 16 b ) allows to operate at least a comparison between all points of interest (POI) generated in said process and during previous processes, to generate additional points of interest (POI) and/or to validate or eliminate the points of interest (POI) previously generated in said control step, transmitting corresponding information on a screen ( 26 ).

3 . The method as in claim 2 , wherein a time stamp is associated with each point of interest (POI) and the time window refers to a determinate period of time prior to and following a specific event that characterizes said point of interest (POI).

4 . The method as in claim 2 , wherein said additional points of interest (POI) are generated automatically by said processing unit ( 27 ).

5 . The method as in claim 2 , wherein said control step and said analysis step occur at different moments and in completely separate and independent environments.

6 . The method as in claim 1 , wherein said points of interest (POI) are classified according to a degree of importance with fixed, dynamic or self-learned verification rules (R), which allow to determine a deviation of the process, either in progress or occurred, from an optimum criterion.

7 . The method as in claim 6 , wherein said optimum criterion is directed to the management or quantitative or qualitative yield, or to the maintenance of the industrial plant ( 10 ), or to the geometric result of a final product or to the energy consumption of the industrial plant ( 10 ).

8 . The method as in claim 6 , wherein said points of interest (POI) are classified as normal events, alarm events, malfunction events, wherein at least in the case of points of interest (POI) classified as malfunction events, during the control step said control unit ( 23 ) is configured at least to project on main screens ( 20 ) of said first interactive platform ( 16 a ) the images relating to the event occurring in order to increase the level of attention from operators.

9 . The method as in claim 1 , wherein during the control step, said points of interest (POI) are displayed on a screen ( 22 ) of an operator assistance device ( 21 ) in graph form, with markers of different color and/or shape, and/or as a listing, in chronological order.

10 . The method as in claim 9 , wherein during said control step there is provided a step of entering additional information relating to the points of interest (POI) generated, in which on said screen ( 22 ) of said operator assistance device ( 21 ) a screen is displayed which offers the operator an option of entering said information in written or oral form.

11 . The method as in claim 1 , wherein each point of interest (POI) contains measurement data (D) relating to the components ( 11 ) of the plant that characterize the process, and which are monitored directly or indirectly.

12 . The method as in claim 1 , wherein said points of interest (POI) also contain measurements relating to the quality of a determinate product, as well as identification labels of all the raw materials used to manufacture said product.

13 . The method as in claim 1 , wherein it comprises an analysis step which occurs simultaneously with said control step in “What-if” mode, in which, starting from current plant conditions, the continuation of the process is simulated, varying determinate control parameters.

14 . The method as in claim 1 , wherein said second interactive platform ( 16 b ) allows to supervise the process in progress and trace a product being worked in all the working steps thereof, including steps of movement between the plant components ( 11 ).