Device and method for classifying two-state variables of a cyclically-operating system comprising subunits

• US 20070005814A1
• Filed: 05/11/2004
• Published: 01/04/2007
• Est. Priority Date: 05/14/2003
• Status: Abandoned Application

• Current Assignee: Prosyst
• Original Assignee: Prosyst
• Inventors: Asse, Abdallah, Willaeys, Didier
• Application Number:
  US10/556,582
• Publication Number:
  US 20070005814A1
• Time in Patent Office: Days
• US Class Current: 710/2
• CPC Class Codes: G05B 19/058 Safety, monitoring
• CPC Class Codes: G05B 2219/14006 Safety, monitoring in general
• CPC Class Codes: G05B 2219/14068 Compare operation time of each independent block, group with stored

Abstract

The invention relates to a device and method for classifying two-state variables of a cyclically-operating system comprising subunits. The inventive method comprises the following steps: a recording step consisting in recording dated state changes noted for each of the variables during a determined time T; a calculation step consisting in using the aforementioned dated state changes in order to determine, for each of the variables, (i) the different durations (D1) between two consecutive passages to a first state (E1) and (ii) the different durations (D2) between two consecutive passages to a second state (E2), such as to create duration lists (LD1) and (LD2); and a processing step consisting in, for each variable, comparing the different duration lists (LD1) and/or (LD2) to the different duration lists (LD1) and/or (LD2) for the other variables and the number of occurrences thereof, such as to classify said variables into groups, whereby each group corresponds to at least one of the subunits of the system.

Claims

1. A method for classifying two-state variables of a cyclically operating system including subunits characterized in that the following steps are performed:

a recording step wherein dated state changes are recorded for each of said variables during a determined time T,

a calculation step wherein, from the dated state changes and for each of the variables, the different durations (D1) between two consecutive passages to a first state (E1) on the one hand and the different durations (D2) between two consecutive passages to a second state (E2) on the other hand, are determined so as to create duration lists (LD1) and (LD2),

a processing step wherein, for each variable, the different duration lists (LD1) and/or (LD2) are compared to the different lists of durations (LD1) and/or (LD2) of the other variables and the number of occurrences thereof so as to classify said variables in groups each corresponding to at least one of the subunits of said system.

2. The classification method according to claim 1 wherein the following is performed in said processing step:

creation of at least one group of order n, each group including one variable or a set of variables having a close number of occurrences

creation in each of said at least one group of at least one set wherein the variables are linked,

comparison of each set in a same group and union of the sets when two variables each belonging to one of the sets are linked,

comparison of the sets of one group with the sets of each other group and union of the sets when two variables each belonging to one of the sets are linked.

3. The classification method according to claim 2, wherein, after the creation of at least one group, elimination of the variables out of the operating cycle of the system is further achieved.

4. The classification method according to any of claims 2 and 3 wherein, in each group, the terms of the lists (LD1) and/or (LD2) of one variable are compared with the terms of the duration lists (LD1) and/or (LD2) of the other variables of the same group in order to create a set for each set of linked variables.

5. The classification method according to any of claims 2 to 4, wherein one variable belonging to a set is compared with another variable for each other set of the same group, by comparing:

the terms of the shifted duration lists (LD1, LD1d) and/or (LD2, LD2d) of one variable with the terms of the lists (LD1) and/or (LD2) of the other variable,

the terms of the duration sum lists (LSD1) and/or (LSD2) and of the shifted duration sum lists (LSD1d) and/or (LSD2d) of one variable with the lists (LSD1) and/or (LSD2) of the other variable in order to unite the sets of a same group, the variables of which are linked.

6. The classification method according to any of claims 2 to 4, wherein one variable belonging to a set of a group is compared with another variable of each set of each other group by comparing:

the terms of the duration sum lists (LSD1) and/or (LSD2) and of the shifted duration sum lists (LSD1d) and/or (LSD2d) of one variable with the lists (LD1, LD1d, LSD1) and/or (LD2, LD2d), LSD2) of the other variable in order to unite in a group, the sets, the variables of which are linked.

7. The classification method according to any of the preceding claims, wherein a step is performed for stopping or changing the operation of one or more subunits in order to distinguish the variables of a subunit with respect to another subunit, the operating cycles of which are linked.

8. The classification method according to any of the preceding claims, wherein a step for tracking the beginning and the end of the operating cycle of each group is further performed.

9. The classification method according to the preceding claim 8, wherein the tracking step for each group is performed:

by determining the x most significant durations between the change of state of one variable of a group and the following change of state of another variable from the same group,

by determining for each of the x durations, the states of the set of the variables of the relevant group,

by selecting the most frequent case including the most or the least significant number of variables in a state E1 or E2,

by considering that this case, if it exists, gives the variables for the end of operating cycle of the group.

10. The classification method according to the preceding claim 8, wherein the following is performed in said tracking step:

classification in each group of the variables according to their order of appearance,

selection of a given number of the most significant durations (D1) or (D2) of the group,

calculation of the time jumps between the appearance of each new variable of the group by examining the moment when the duration between two consecutive passages for the first variable which has appeared is one of the selected durations and by repeating the calculation for the set of selected durations,

recording the states (E1) or (E2) of each variable associated with the most significant time jump calculated for each of the selected durations,

selection of the most frequent case wherein the minimum number of variables are in a state (E1) or in a state (E2) in order to determine the beginning and the end of the cycle of the group.

11. The classification method according to any of the preceding claims, wherein from a numerical variable with more than two states, a given number of two-state variables are created, said created variables being classified into a group in order to determine the subunits to which the numerical variable with more than two states belongs.

12. A classification device for implementing the method according to any of the preceding claims 1 to 11, characterized in that it comprises:

recording means for recording and dating the state changes of each of said variables during a determined time corresponding to at least two operating cycles of said system,

calculation means for determining from the dated state changes and for each of the variables, the different durations D1 between two consecutive passages to a first state (E1) of a variable on the one hand, and the different durations (D2) between consecutive passages to a second state (E2) of a variable on the other hand,

processing means for comparing for each variable, the different durations (D1) and/or (D2) to the different durations (D1) and/or (D2) of the other variables, and the number of occurrences thereof, so as to classify said variables in groups each corresponding to at least one of the subunits of said system.

13. The use of the method according to any of the preceding claims 1 to 11, for systems of industrial facilities driven by controllers.