Process monitoring system, apparatus and method

1. A process monitoring system comprising:

a plurality of field devices configured to measure state quantities in an industrial process implemented in a plant;

a storage which stores information;

a hardware processor configured to:

determine variation trends of the state quantities, based on time-sequence data output from each of the plurality of field devices, and classify each of the variation trends of the state quantities into one of a plurality of statuses including a constant status, an increasing status, and a decreasing status;

judge, by using the information stored in the storage, whether a pre-indicator of a change in a plant state exists or whether the pre-indicator of the change in the plant state does not exist, the judgment being made based on:

a change in the classified status for at least one of the state quantities measured by at least one of the plurality of field devices;

a current value of the at least one of the state quantities being at an upper position or a lower position relative to a target position within a range bounded by an upper limit position and a lower limit position for the at least one of the state quantities; and

the status of the change in the classified status relative to the target position; and

control generation of an alarm regarding the at least one of the plurality of field devices measuring the at least one of the state quantities resulting in the judgment being made of the pre-indicator of the change in the plant state exists,

wherein the storage stores, as the information:

the upper limit position;

the lower limit position;

the target position;

the classified statuses for the state quantities; and

the current value of the at least one of the state quantities.

2. A process monitoring system comprising:

a plurality of field devices configured to measure state quantities in an industrial process implemented in a plant;

a storage which stores information;

a hardware processor configured to:

determine variation trends of the state quantities, based on time-sequence data output from each of the plurality of field devices, and classify each of the variation trends of the state quantities into one of a plurality of statuses including a constant status, an increasing status, and a decreasing status; and

judge, by using the information stored in the storage, whether a pre-indicator of a change in a plant state exists or whether the pre-indicator of the change in the plant state does not exist, the judgment being made based on a relationship between an operating mode set for the plant and the classified status for each of at least two of the state quantities respectively measured by at least two of the plurality of field devices; and

control generation of an alarm regarding the at least two of the plurality of field devices measuring the at least two of the state quantities resulting in the judgment being made of the pre-indicator of the change in the plant state exists,

wherein the storage stores, as the information, relationships between:

the pre-indicator;

the change in the classified status;

the operating mode; and

the classified statuses for the state quantities.

3. The process monitoring system according to claim 1 , further comprising a display device configured to display the classified status for the at least one of the state quantities.

4. The process monitoring system according to claim 1 , wherein the hardware processor is further configured to extract data related to the at least one of the plurality of field devices measuring the at least one of the state quantities resulting in the judgment being made of the pre-indicator of the change in the plant state exists.

5. The process monitoring system according to claim 1 , wherein the hardware processor is further configured to determine the variation trends by determining a slope of time-sequence data output from each of the plurality of field devices.

6. The process monitoring system according to claim 5 , wherein a length of a time period for determining the slope of the time-sequence data differs depending upon a type of a state quantity.

7. The process monitoring system according to claim 1 , wherein the hardware processor is further configured to determine the variation trends by using at least one of:

a process to determine a piecewise moving average;

a process to determine a linear approximation by a least squares method; and

a statistical process to determine a standard deviation or a variance.

8. The process monitoring system according to claim 1 , wherein at least one of the state quantities indicates a characteristic of at least one of odor, flame shape, and smoke color.

9. The process monitoring system according to claim 4 , wherein the hardware processor is further configured to extract data related to apparatuses positioned in at least an upstream process and a downstream process relative to at least one of the plurality of field devices having measured the state quantity that has exhibited a status change.

10. The process monitoring system according to claim 3 , wherein the display device is further configured to display the classified statuses in association with an outer appearance of an apparatus provided in the plant.

11. The process monitoring system according to claim 3 , wherein the display device is further configured to display an arrow having a magnitude of a slope angle which represents a type of one of the statuses.

12. The process monitoring system according to claim 11 , wherein the display device is further configured to display the arrow having a length that represents a time interval to be used for determining the variation trends.

13. The process monitoring system according to claim 11 , wherein the display device is further configured to display the arrow having a position in a measurement range, the position representing a current value of one of the state quantities.

14. The process monitoring system according to claim 3 , wherein the display device is further configured to display a radar chart representing the classified statuses.

15. The process monitoring system according to claim 1 , wherein the hardware processor is further configured to determine a further variation trend to each of the variation trends of the state quantities, the determination being made based on the time-sequence data output from each of the plurality of field devices.

16. The process monitoring system according to claim 1 , wherein the plurality of the classified statuses are obtained at a same time.

17. The process monitoring system according to claim 1 , wherein the hardware processor is configured to judge that the pre-indicator of the change in the plant state does not exist when the status of the change in the classified status is increasing or decreasing towards the target position.

18. A process monitoring apparatus comprising:

a storage which stores information; and

a hardware processor configured to:

determine variation trends of state quantities and classify each of the variation trends of the state quantities into one status of a plurality of statuses including a constant status, an increasing status, and a decreasing status, the determination being made based on time-sequence data output from each of a plurality of field devices for measuring the state quantities in an industrial process implemented in a plant;

judge, by using the information stored in the storage, whether a pre-indicator of a change in a plant state exists or whether the pre-indicator of the change in the plant state does not exist, the judgment being made based on:

a change in the classified status for at least one of the state quantities measured by at least one of the plurality of field devices:

a current value of the at least one of the state quantities being at an upper position or a lower position relative to a target position within a range bounded by an upper limit position and a lower limit position for the at least one of the state quantities: and

the status of the change in the classified status relative to the target position; and

control generation of an alarm regarding the at least one of the plurality of field devices measuring the at least one of the state quantities resulting in the judgment being made of the pre-indicator of the change in the plant state exists,

wherein the storage stores, as the information:

the upper limit position;

the lower limit position;

the target position;

the classified statuses for the state quantities; and

the current value of the at least one of the state quantities.

19. A process monitoring method comprising:

collecting time-sequence data output from each of a plurality of field devices measuring state quantities in an industrial process implemented in a plant;

storing information in a storage;

determining a variation trend of the state quantities, and classifying the variation trends of the state quantities into one of a plurality of statuses including a constant status, an increasing status, and a decreasing status, the determination being made based on the collected time-sequence data;

judging, by using the information stored in the storage, whether a pre-indicator of a change in a plant state exists or whether the pre-indicator of the change in the plant state does not exist, the judgment being made based on:

a change in the classified status for at least one of the state quantities measured by at least one of the plurality of field devices:

a current value of the at least one of the state quantities being at an upper position or a lower position relative to a target position within a range bounded by an upper limit position and a lower limit position for the at least one of the state quantities: and

the status of the change in the classified status relative to the target position; and

controlling generation of an alarm regarding the at least one of the plurality of field devices measuring the at least one of the state quantities resulting in the judgment being made of the pre-indicator of the change in the plant state exists,

wherein the storage stores, as the information:

the upper limit position;

the lower limit position;

the target position;

the classified statuses for the state quantities; and

the current value of the at least one of the state quantities.

20. The process monitoring system according to claim 2 , wherein the judgment is made using a table that sets forth relationships between different combinations of the statuses regarding the state quantities and plant states.

21. A process monitoring apparatus comprising:

a storage which stores information; and

a hardware processor configured to:

determine variation trends of state quantities and classify each of the variation trends of the state quantities into one status of a plurality of statuses including a constant status, an increasing status, and a decreasing status, the determination being made based on time-sequence data output from each of a plurality of field devices for measuring the state quantities in an industrial process implemented in a plant;

judge, by using the information stored in the storage, whether a pre-indicator of a change in a plant state exists or whether the pre-indicator of the change in the plant state does not exist, the judgment being made based on a relationship between an operating mode set for the plant and the classified status for each of at least two of the state quantities respectively measured by at least two of the plurality of field devices; and

control generation of an alarm regarding the at least two of the plurality of field devices measuring the at least two of the state quantities resulting in the judgment being made of the pre-indicator of the change in the plant state exists,

wherein the storage stores, as the information, relationships between:

the pre-indicator;

the change in the classified status;

the operating mode; and

the classified statuses for the state quantities.

22. A process monitoring method comprising:

collecting time-sequence data output from each of a plurality of field devices measuring state quantities in an industrial process implemented in a plant;

storing information in a storage;

determining a variation trend of the state quantities, and classifying the variation trends of the state quantities into one of a plurality of statuses including a constant status, an increasing status, and a decreasing status, the determination being made based on the collected time-sequence data;

judging, by using the information stored in the storage, whether a pre-indicator of a change in a plant state exists or whether the pre-indicator of the change in the plant state does not exist, the judgment being made based on a relationship between an operating mode set for the plant and the classified status for each of at least two of the state quantities respectively measured by at least two of the plurality of field devices; and

controlling generation of an alarm regarding the at least two of the plurality of field devices measuring the at least two of the state quantities resulting in the judgment being made of the pre-indicator of the change in the plant state exists,

wherein the storage stores, as the information, relationships between:

the pre-indicator;

the change in the classified status;

the operating mode; and

the classified statuses for the state quantities.