JP5061744B2 - Situation analysis system and situation analysis method - Google Patents

Description

  The present invention relates to a situation analysis system and a situation analysis method for analyzing a situation of a monitoring target based on data acquired from the monitoring target.

In a plant or the like, a system for detecting an abnormality of the plant and generating an alarm is introduced. When an abnormality occurs, an alarm is generated, and the operator who recognizes the abnormality on the monitoring screen checks the device in which the alarm has occurred and investigates the cause of the abnormality. Furthermore, if the cause is known, measures are taken to avoid abnormal conditions such as maintenance.
JP-A-9-281042

  In order to construct such a system, it is necessary to create an alarm generation logic for detecting an abnormality during system setup. Also, when an alarm occurs, the operator checks the alarm generation logic and checks not only the device where the abnormality occurred, but also the devices that are likely to be related from the alarm generation logic, process knowledge, and past experience, and performs appropriate operations. It is required to execute.

  However, in order to generate an alarm appropriately, the operator needs to create a complicated alarm generation logic. In order to issue only the alarm desired by the operator, it is often necessary to create complicated logic, which is difficult for an inexperienced operator.

  Also, in order to investigate the cause of an abnormality when an alarm occurs, it is necessary to examine the alarm generation logic. If the alarm generation logic is complicated, it takes a very long time to investigate the cause. Further, in recent years, the number of operators tends to decrease, and the monitoring information per person increases. Therefore, it is difficult to grasp a system relating to alarm generation of the entire plant.

  For this reason, there is a strong demand for the development of a system that can detect an abnormal state of a plant without creating complicated alarm generation logic, or a system that can quickly extract the device that caused the abnormality. .

  An object of the present invention is to provide a situation analysis system and a situation analysis method that can easily and quickly analyze a situation of a monitoring target by using a Mahalanobis Taguchi method.

The situation analysis system according to the present invention is a situation analysis system for analyzing a situation of a monitoring target based on data acquired from the monitoring target, a data accumulating means for accumulating data obtained from the monitoring target, and the data accumulating means. Reference space creation means for creating a reference space based on the accumulated data, data acquisition means for obtaining data from the monitoring target, and the data acquisition means in the reference space created by the reference space creation means The distance calculation means for calculating the Mahalanobis distance by inputting the data obtained in the above, and accepting the user's instruction, and in accordance with the instruction, the reference space creation means, the data acquisition means, or the operation of the distance calculation means Instruction receiving means for determining a procedure, wherein the instruction receiving means creates the reference space as the instruction The data receiving means accepts addition or deletion of data types handled by the data acquisition means and the distance calculation means, and the instruction accepting means accepts specification of the reference space creation condition in the reference space creating means as the instruction. the designation of creating conditions wherein among the accumulated data by the data storage means, said reference space Ri specified der temporal range of data used in creating the reference space by creating means, said instruction receiving means The trend of the data accumulated by the data accumulating means is graphically displayed on the screen, and the designation of the time range of the data is received on the display screen .
According to this situation analysis system, since the situation of the monitoring target is analyzed by calculating the Mahalanobis distance, it is not necessary to create complicated logic for monitoring and analysis, and the situation can be analyzed easily and quickly. Further, since the user's instruction is accepted and the operation procedure is determined according to the instruction, the user's intention and know-how can be accurately reflected in the situation analysis.

The situation analysis system according to the present invention is a situation analysis system for analyzing a situation of a monitoring target based on data acquired from the monitoring target, a data accumulating means for accumulating data obtained from the monitoring target, and the data accumulating means. Reference space creation means for creating a reference space based on the accumulated data, data acquisition means for obtaining data from the monitoring target, and the data acquisition means in the reference space created by the reference space creation means The distance calculation means for calculating the Mahalanobis distance by inputting the data obtained in the above, and accepting the user's instruction, and in accordance with the instruction, the reference space creation means, the data acquisition means, or the operation of the distance calculation means Instruction receiving means for determining a procedure, wherein the instruction receiving means creates the reference space as the instruction The data receiving means accepts addition or deletion of data types handled by the data acquisition means and the distance calculation means, and the instruction accepting means accepts specification of the reference space creation condition in the reference space creating means as the instruction. The designation of the creation condition is designation of a time range of data used in creation of the reference space by the reference space creation means among the data accumulated by the data accumulation means, and the distance calculation means includes: Instead of the data acquired by the data acquisition unit, the Mahalanobis distance is calculated using the data stored by the data storage unit, thereby enabling a trial according to the instruction by the instruction receiving unit. And
According to this situation analysis system, since the situation of the monitoring target is analyzed by calculating the Mahalanobis distance, it is not necessary to create complicated logic for monitoring and analysis, and the situation can be analyzed easily and quickly. Further, since the user's instruction is accepted and the operation procedure is determined according to the instruction, the user's intention and know-how can be accurately reflected in the situation analysis.
The data may be process data.

The situation analysis method of the present invention is a situation analysis method for analyzing a situation of a monitoring object based on data acquired from the monitoring object, and includes a data accumulation step for accumulating data obtained from the monitoring object, and the data accumulation step. A reference space creating step for creating a reference space based on the accumulated data, a data obtaining step for obtaining data from the monitoring target, and a data obtaining step in the reference space created by the reference space creating step The distance calculation step for calculating the Mahalanobis distance by inputting the data obtained in step (b), the user's instruction is accepted, and the reference space creation step, the data acquisition step, or the distance calculation step is operated according to the instruction. An instruction receiving step for determining a procedure, and receiving the instruction In the step, as the instruction, the reference space creation step, the data acquisition step, and the addition or deletion of the data type handled in the distance calculation step are accepted. In the instruction reception step, the reference space creation step is used as the instruction. The creation of the reference space is accepted, and the creation condition is designated as a time range of data used in creating the reference space by the reference space creating step among the data accumulated by the data accumulating step. In the instruction accepting step, the trend of the data accumulated in the data accumulating step is graphically displayed on the screen, and the designation of the time range of the data is accepted on the display screen. .
According to this situation analysis method, since the situation of the monitoring target is analyzed by calculating the Mahalanobis distance, it is not necessary to create complicated logic for monitoring and analysis, and the situation can be analyzed easily and quickly. Further, since the user's instruction is accepted and the operation procedure is determined according to the instruction, the user's intention and know-how can be accurately reflected in the situation analysis.

The situation analysis method of the present invention is a situation analysis method for analyzing a situation of a monitoring object based on data acquired from the monitoring object, and includes a data accumulation step for accumulating data obtained from the monitoring object, and the data accumulation step. A reference space creating step for creating a reference space based on the accumulated data, a data obtaining step for obtaining data from the monitoring target, and a data obtaining step in the reference space created by the reference space creating step The distance calculation step for calculating the Mahalanobis distance by inputting the data obtained in step (b), the user's instruction is accepted, and the reference space creation step, the data acquisition step, or the distance calculation step is operated according to the instruction. An instruction receiving step for determining a procedure, and receiving the instruction In the step, as the instruction, the reference space creation step, the data acquisition step, and the addition or deletion of the data type handled in the distance calculation step are accepted. In the instruction reception step, the reference space creation step is used as the instruction. The creation of the reference space is accepted, and the creation condition is designated as a time range of data used in creating the reference space by the reference space creating step among the data accumulated by the data accumulating step. Specifies der of is, in the distance calculation step, instead of the acquired data by the data acquisition step, by calculating the Mahalanobis distance using the data accumulated by the data accumulation step, by the instruction receiving step It was possible to make a trial according to the instructions. The features.
According to this situation analysis method, since the situation of the monitoring target is analyzed by calculating the Mahalanobis distance, it is not necessary to create complicated logic for monitoring and analysis, and the situation can be analyzed easily and quickly. Further, since the user's instruction is accepted and the operation procedure is determined according to the instruction, the user's intention and know-how can be accurately reflected in the situation analysis.

  According to the situation analysis system of the present invention, since the situation of the monitoring target is analyzed by calculating the Mahalanobis distance, it is not necessary to create complicated logic for monitoring and analysis, and the situation can be analyzed easily and quickly. Further, since the user's instruction is accepted and the operation procedure is determined according to the instruction, the user's intention and know-how can be accurately reflected in the situation analysis.

  According to the situation analysis method of the present invention, since the situation of the monitoring target is analyzed by calculating the Mahalanobis distance, it is not necessary to create complicated logic for monitoring and analysis, and the situation can be analyzed easily and quickly. Further, since the user's instruction is accepted and the operation procedure is determined according to the instruction, the user's intention and know-how can be accurately reflected in the situation analysis.

  Hereinafter, an embodiment of a situation analysis system according to the present invention will be described with reference to FIGS.

  FIG. 1 is a block diagram showing a configuration of a plant control system to which the situation analysis system of the present embodiment is applied.

  As shown in FIG. 1, the plant control system includes field controllers 2, 2,... Distributed in a plant and field devices 1, 2,. Are provided with a plant control server 3 that integrally controls the monitoring terminal device 4 for monitoring the plant. The field controllers 2, 2,... And the plant control server 3 are connected to each other via a network 7.

  The plant control server 3 is mounted with an application program for collecting data from the field devices 1, 1,... And controlling the field devices 1, 1,. By executing this program, the operator can monitor the state of the plant via the monitoring terminal device 4.

  Further, a plant information management server 5 and a plant information management terminal device 6 constituting the situation analysis system of the present embodiment are connected to the plant control system via a network 7.

  As shown in FIG. 1, the plant information management server 5 includes a data storage unit 51 that stores data obtained from a monitoring target, and a reference space that creates a reference space based on the data stored in the data storage unit 51. The Mahalanobis distance is calculated by inputting the data obtained by the data obtaining unit 53 into the creating unit 52, the data obtaining unit 53 that obtains data from the monitoring target, and the reference space created by the reference space creating unit 52. The distance calculating unit 54 and an instruction receiving unit 55 that receives the user's instruction and determines the operation procedure of the reference space creating unit 52, the data acquiring unit 53, or the distance calculating unit 54 according to the instruction.

  FIG. 2 is a flowchart showing the operation of the situation analysis system of this embodiment.

  Steps S1 to S5 in FIG. 2 show an operation procedure for monitoring an abnormality that occurs in the plant control system. This procedure is executed based on the control of the plant information management server 5.

  In step S <b> 1 of FIG. 2, data is acquired from the plant control server 3 via the data acquisition unit 53. The acquired data includes various parameters collected from the field devices 1, 1,.

  Next, in step S2, the distance calculation means 54 inputs the data acquired in step S1 into the reference space created by the reference space creation means 52, calculates the Mahalanobis distance, and uses the calculation result for plant information management. A graph is displayed on the screen of the terminal device 6.

  Next, in step S3, it is determined whether or not the calculated Mahalanobis distance is greater than a predetermined distance. This process is performed by executing the Mahalanobis Taguchi method for calculating the Mahalanobis distance between the normal data group stored in the data storage means 51 within the normal period and the data acquired in step S1. The similarity between the data acquired in step 1 and the normal data group is determined.

  If the determination in step S3 is affirmative, it is determined that the acquired data is abnormal, and the process proceeds to step S4. On the other hand, if the determination in step S3 is negative, it is determined that the acquired data is normal and the process proceeds to step S5.

  FIG. 3A shows a display example of the calculation result of the Mahalanobis distance. When the Mahalanobis distance becomes large and moves away from the stable line, it is determined in step S3 that there is an abnormality.

  In step S4, the operator is notified of the plant abnormality by the occurrence of an alarm, and the process returns to step S1.

  On the other hand, in step S5, the data (normal data) acquired in step S1 is stored in the data storage means 51, and the process returns to step S1. In this way, only normal data is stored in the data storage means 51.

  Steps S11 to S13 in FIG. 2 show a procedure for creating a reference space. This procedure is executed based on the control of the plant information management server 5.

  In step S11 of FIG. 2, a normal data group within a normal period stored in the data storage means 51 is acquired. Next, in step S <b> 12, the reference space is created by the reference space creation unit 52 based on the normal data group acquired from the data storage unit 51. This reference space is used in step S2.

  Next, in step S13, the reference space created in step S12 is stored, and the process returns to step S11.

  Thus, in this embodiment, the latest normal data sequentially stored in the data storage unit 51 can be reflected in the reference space by repeating the creation of the reference space. Note that the reference space may be updated in a timely manner without always repeating the creation of the reference space.

  According to this embodiment, the accuracies / normality determination accuracy in step S3 is improved with the accumulation of normal data groups (history data) that are the materials for creating the reference space.

  Steps S <b> 21 to S <b> 24 in FIG. 2 show the abnormality factor notification procedure. This procedure is executed based on the control of the plant information management server 5.

  In step S21 of FIG. 2, it is determined whether or not cause analysis of the occurrence of abnormality is requested via the plant information management terminal device 6. When the operator receives a notification of a plant abnormality (step S4), the operator can request analysis of the cause of the abnormality through the plant information management terminal device 6. In such a case, the determination in step S21 is affirmed and the process proceeds to step S22. If not, step S21 is repeated.

  In step S22, the degree (contribution) that contributes to the Mahalanobis distance is calculated for each parameter that is data acquired from the plant control server 3. The contribution method for calculating the contribution is a method for calculating the magnitude of the influence of each parameter used in the Mahalanobis distance calculation in the Mahalanobis Taguchi method. By applying the contribution degree method, it is possible to examine which parameter has changed differently from the normal time during the period when the abnormality occurred.

  Next, in step S23, based on the contribution calculated in step S22, the magnitude of the degree of influence of each parameter is displayed in a graph on the screen of the plant information management terminal device 6. Since the parameter that caused the problem has a larger value shown in the graph, the operator can grasp the cause of the occurrence of the abnormality. Further, not only the parameter having the greatest influence but also the degree of influence of the parameter related to the parameter is increased, so that the parameter corresponding to the influence range can be grasped by looking at the graph. For example, when there are a large number of sensors, the influence between the sensors can be grasped.

  FIG. 3B shows a display example of the influence level of each parameter. In this example, it is shown that the influence degree of the parameter 2 is the largest, and then the influence degree of the parameter 3 is large.

  Next, in step S24, device names such as field devices 1, 1,... That are considered to be the cause of the abnormality, corresponding to parameters having a large influence on the operator, are displayed via the screen of the terminal device 6 for plant information management. Notify and return to step S21. At this time, if there are a plurality of devices having a large influence degree, the plurality of devices are notified. Thereby, the operator can perform operations such as resetting for the notified device, and such operation is reflected on the target device by the processing of the plant control server 3.

  In this way, by using the Mahalanobis Taguchi method contribution method for analysis at the time of abnormality, candidate devices that are considered to be the cause are displayed or notified, so it is necessary to investigate complicated alarm generation logic etc. In addition, an operator who is not rich in process knowledge and past experience can respond quickly.

  Next, the function of the instruction receiving unit 55 will be described.

  In the situation analysis system according to the present embodiment, by giving a user instruction via the instruction receiving unit 55, the data types of parameters used in the situation analysis system can be added or deleted.

First, the operator can check the data type of the parameter used for calculating the Mahalanobis distance by accessing the plant information server 5 via the plant information management terminal device 6. FIG. 4A shows a screen display example of the plant information management terminal device 6. In this example, the data type used in the current monitoring condition is displayed by “monitoring option”. In the display of FIG. 4A, only “change in raw data” indicating a change in raw data such as a process value is selected as the data type .

For example, when the operator wants to monitor the change of the maximum value / minimum value of the raw data, the corresponding data type is added to the monitoring condition by checking the corresponding box 81 on the screen. The display of FIG. 4B shows a state in which a new data type “change in maximum value / minimum value” is added as a data type . The data type addition instruction by the operator is given to the plant information management server 5 and is reflected in the subsequent monitoring conditions.

In addition to changes in the maximum and minimum values of raw data, changes in the average value of raw data every hour, changes in the average value of raw data every day, and the like can also be selected as data types .

When the data type is added, the addition of the data type is reflected in the creation of the reference space in the reference space creation unit 52, the data acquired in the data acquisition unit 53, and the Mahalanobis distance calculation in the distance calculation unit 54.

  In addition, in the situation analysis system according to the present embodiment, instead of the raw data acquired by the data acquisition unit 53, the data is stored by the data storage unit 51 so that the operator can determine whether or not the monitoring condition change is valid. By using the past data and calculating the Mahalanobis distance in the distance calculation means 54, trials can be performed under the monitoring conditions before and after the change. The trial follows the same operation as the actual operation, and the trial result is notified through the plant information management terminal device 6.

In this way, by analyzing the situation using past data, it is possible to simulate a large number of cases in a short time without actually operating the plant, and the effectiveness of the monitoring conditions can be evaluated appropriately. . For example, it is possible to know in advance the effect of the change, such as an abnormality in the Mahalanobis distance or the occurrence of another alarm, in the settings after the change. When it is confirmed that the new monitoring condition is valid, an instruction to add a data type is given to the plant information management server 5 in accordance with an instruction from the operator, and is actually reflected in the monitoring condition in the subsequent real-time monitoring.

As described above, in the situation analysis system according to the present embodiment, the parameters currently used for calculation of the Mahalanobis distance can be easily confirmed by the plant information management terminal device 6 and the data type can be added by the “monitoring option”. , Delete and change easily. Moreover, since the trial for the monitoring condition before and after the change can be performed before the actual change, the operator can easily determine whether or not the monitoring condition after the change is appropriate. Further, since the operation after the change of the monitoring condition can be tried, an inconvenient secondary influence due to the change of the monitoring condition can be prevented.

  Next, in the situation analysis system of the present embodiment, a reference space creation condition in the reference space creation means 52 can be specified by giving a user instruction via the instruction reception means 55.

  Usually, an operator always has a point to check as operation know-how in process monitoring. As described above, by creating the reference space based on the check items of the operator, the operator's operation know-how can be efficiently reflected in the monitoring condition.

  FIGS. 5A and 5B show examples of display screens of the plant information management terminal device 6 when an operator instruction is received. The instruction receiving means 55 displays a screen for receiving an operator instruction on the plant information management terminal device 6. As shown in FIG. 5 (a), the operator operates the plant information management terminal device 6 so that the data (process data) that has been determined to be normal so far among the data stored in the data storage means 51. A group can be called on the screen to check whether the determination is correct. Then, as shown in FIG. 5B, the operator can input a region of interest as a criterion for the operator with respect to a curve indicating a change in the value of each data. In the example of FIG. 5B, the portions checked by the operator in the curve 91 indicating the change of the process data are designated as the region 91a and the region 91b. The method for specifying the area can be selected as appropriate. For example, the range of the curve may be specified by the start point and the end point.

  Such operator determination criteria are registered in the plant information management server 5 and reflected in the reference space creation conditions in the reference space creation means 52 (steps S11 to S13). In the example of FIG. 5B, when the reference space is created by the reference space creating means 52, the reference space is created using only the data of the area 91a and the area 91b in the curve 91. Thereby, the reference space itself is substituted for the operator's operation know-how. Further, since the relationship between a plurality of data is reflected in the reference space, when there are a plurality of designated ranges, it is not necessary to input the correlation, and the relationship between the respective locations is also taken into consideration. Therefore, it is possible to monitor with high accuracy by a simple input operation.

  FIG. 6A shows a screen display of the plant information management terminal device 6 when calling the operator's determination criteria. In this example, the dialog “input value setting” is displayed, and the determination criterion and the data to be determined can be designated by the “determination criterion data” box 82 and the “inspection data” box 83, respectively. For example, if “operator A determination know-how” is designated in the box 82, the operator determination criterion is selected. Further, the process data (data XX) to be inspected is selected from the box 83. In this way, by making the operator's operation know-how functional, it is possible to incorporate it into the monitoring logic as appropriate. Thereby, for example, even when a specific operator is absent, the judgment of the operator can be taken into the monitoring logic. In addition, the judgment criteria that have been relied on the operator's sense until now are made objective and the judgment can be made accurately.

  FIG. 6B is a flowchart showing a procedure for inspecting process data in real time using the selected criterion.

  In step S31 of FIG. 6B, the selected criterion data (FIG. 6A) is acquired. Next, in step S32, the selected inspection data (FIG. 6A) is acquired. Next, in step S33, abnormality monitoring (steps S1 to S5) is performed in real time on the inspection data acquired in step S32 using the reference space created according to the determination reference data acquired in step S31, and processing is performed. finish.

  In addition to the abnormality monitoring process (steps S1 to S5), the abnormality factor notification process (steps S21 to S24) can also be executed by calculating the contribution.

  In the situation analysis system according to the present embodiment, the operator's criterion for the relationship between a plurality of process data can be registered. FIG.5 (c) has shown the example of a display screen of the terminal apparatus 6 for plant information management at the time of receiving the input of such a criterion. In this example, if there is a knowledge that the operator's operation know-how is “when the data XX increases, the data YY decreases when the operator is normal”, only the data XX and the data YY are selected from a large number of process data by the operator's designation. They can be extracted and displayed on the screen as curves 92 and 93, respectively. Then, the operator designates a process that matches the above knowledge as normal data. Such operator determination criteria are registered in the plant information management server 5 and reflected in the reference space creation conditions in the reference space creation means 52 (steps S11 to S13).

  By registering a plurality of driving know-how, the driving know-how can be combined as appropriate. FIG. 7 is a flowchart showing a monitoring procedure using a plurality of determination criteria.

  In step S41 of FIG. 7, the data XX is fetched, and in step S42, abnormality monitoring (step S33) according to the judgment criterion of the operator A is executed. In step S43, it is determined whether the monitoring result is normal. If the determination is affirmative, the process proceeds to step S45, and if the determination is negative, the process proceeds to step S44. In step S44, a predetermined abnormal process is executed, and the process ends.

  On the other hand, in step S45, the data YY is fetched, and in step S46, abnormality monitoring (step S33) is performed in accordance with the judgment criteria of operator B. Next, in step S47, abnormality monitoring (step S33) is performed in accordance with the determination criterion of operator C.

  In step S48, it is determined whether or not the monitoring result is normal. If the determination is affirmative, the process ends. If the determination is negative, the process proceeds to step S49. Here, if an abnormality is recognized in either step S46 or step S47, the determination in step S48 is denied.

In step S49, a predetermined abnormality process is executed, and the process ends.
Thus, since the items checked by each operator can be freely incorporated into the monitoring logic, even if each operator is absent, it is possible to construct a monitoring logic in which each operation know-how is arbitrarily combined. It is also possible to appropriately combine the operation know-how of a plurality of operators.

  As described above, in this embodiment, when the value of data such as the parameter of each device varies differently from that during normal operation, an abnormality is detected using the Mahalanobis Taguchi method. This eliminates the need for the operator to create complex monitoring logic in order to generate an alarm. In addition, as the data during normal operation is accumulated, the accuracy of abnormality detection increases, so that work such as logic correction is unnecessary.

  In this embodiment, the operator's operation know-how can be functionalized and incorporated into the monitoring logic. Even when there is no operator having operation know-how, the same determination as that operator is possible. Moreover, what has been ambiguous as a judgment for driving know-how has been made objective, and the same judgment result can be obtained at any time. Further, since the Mahalanobis Taguchi method performs monitoring based on the data change form (trend form), it is possible to make a determination close to the operator's feeling.

  The Mahalanobis distance based on the future data can be calculated by linking the situation analysis system according to the present invention with a system that predicts future fluctuations from the current collected data of the plant. This makes it possible to notify the user of an abnormality prediction before the occurrence of an abnormality, so that the user can take a quick response before the occurrence of the abnormality and prevent damage in advance. In addition, the work before the occurrence of an abnormality can prevent troublesome work after the occurrence of the abnormality and the generation of costs due to the occurrence of the abnormality.

  As described above, according to the situation analysis system of the present invention, since the situation of the monitoring target is analyzed by calculating the Mahalanobis distance, it is not necessary to create complicated logic for monitoring and analysis, and it is easy and quick. You can analyze the situation. Further, since the user's instruction is accepted and the operation procedure is determined according to the instruction, the user's intention and know-how can be accurately reflected in the situation analysis.

  The scope of application of the present invention is not limited to the above embodiment. The present invention is not limited to monitoring or analysis of a plant, but can be widely applied to scenes where analysis based on data from a monitoring target is performed. The present invention is not limited to the determination of abnormality / normality, and can be widely applied to various analyses.

The block diagram which shows the structure of one Embodiment which applied the situation analysis system by this invention to the plant control system. The flowchart which shows operation | movement of the condition analysis system of this embodiment. It is a figure which shows the example of a display of an analysis result, (a) is a figure which shows the example of a display of the calculation result of Mahalanobis distance, (b) is a figure which shows the example of a display of the influence degree of each parameter. The figure which shows the example of a display of the terminal apparatus for plant information management. The figure which shows the example of a display at the time of accepting an operator's instruction | indication. (A) is a figure which shows the example of a display at the time of calling an operator's criteria, (b) is a flowchart which shows the procedure which test | inspects process data in real time. The flowchart which shows the monitoring means using several criteria.

Explanation of symbols

5 Plant information management server 51 Data storage means 52 Reference space creation means 53 Data acquisition means 54 Distance calculation means 55 Instruction acceptance means

Claims (5)

In the situation analysis system that analyzes the situation of the monitoring target based on the data acquired from the monitoring target,
Data storage means for storing data obtained from the monitoring target;
Reference space creation means for creating a reference space based on the data stored in the data storage means;
Data acquisition means for acquiring data from the monitoring target;
Distance calculation means for calculating Mahalanobis distance by inputting the data obtained by the data acquisition means to the reference space created by the reference space creation means;
An instruction receiving unit that receives an instruction of the user and determines an operation procedure of the reference space creation unit, the data acquisition unit, or the distance calculation unit according to the instruction;
With
The instruction accepting unit accepts addition or deletion of data types handled by the reference space creating unit, the data obtaining unit, and the distance calculating unit as the instruction,
The instruction accepting unit accepts designation of a creation condition of the reference space in the reference space creating unit as the instruction,
Specifying the creation condition, the out of the accumulated data by the data storage means, Ri specified der temporal range of data used in creating the reference space according to the reference space creating means,
Said instruction receiving means, said data storing trends of stored data by means well as screen display graphically, status analysis system like you, characterized in that accepting the specified time range of the data on the display screen . In the situation analysis system that analyzes the situation of the monitoring target based on the data acquired from the monitoring target,
Data storage means for storing data obtained from the monitoring target;
Reference space creation means for creating a reference space based on the data stored in the data storage means;
Data acquisition means for acquiring data from the monitoring target;
Distance calculation means for calculating Mahalanobis distance by inputting the data obtained by the data acquisition means to the reference space created by the reference space creation means;
An instruction receiving unit that receives an instruction of the user and determines an operation procedure of the reference space creation unit, the data acquisition unit, or the distance calculation unit according to the instruction;
With
The instruction accepting unit accepts addition or deletion of data types handled by the reference space creating unit, the data obtaining unit, and the distance calculating unit as the instruction,
The instruction accepting unit accepts designation of a creation condition of the reference space in the reference space creating unit as the instruction,
The designation of the creation condition is designation of a time range of data used in creation of the reference space by the reference space creation means among the data accumulated by the data accumulation means,
The distance calculation means calculates the Mahalanobis distance using the data stored by the data storage means instead of the data acquired by the data acquisition means, thereby performing a trial according to the instruction by the instruction reception means. Situation analysis system characterized by being made possible. Situation analysis system according to claim 1 or 2, wherein the data is process data. In the situation analysis method for analyzing the status of the monitoring target based on the data acquired from the monitoring target,
A data accumulation step for accumulating data obtained from the monitoring target;
A reference space creation step of creating a reference space based on the data accumulated by the data accumulation step;
A data acquisition step of acquiring data from the monitoring target;
A distance calculating step of calculating a Mahalanobis distance by inputting the data obtained in the data acquisition step to the reference space created by the reference space creating step;
An instruction receiving step for receiving an instruction of the user and defining an operation procedure of the reference space creation step, the data acquisition step, or the distance calculation step according to the instruction;
With
In the instruction accepting step, as the instruction, accepting addition or deletion of data types handled in the reference space creating step, the data acquiring step, and the distance calculating step,
In the instruction accepting step, as the instruction, accepting specification of the creation condition of the reference space in the reference space creating step,
Specifying the creation condition, the out of the accumulated data by the data storage step, Ri specified der temporal range of data used in creating the reference space by the reference space generating step,
In the instruction accepting step, the trend of the data accumulated in the data accumulating step is graphically displayed on the screen, and the designation of the time range of the data on the display screen is accepted . In the situation analysis method for analyzing the status of the monitoring target based on the data acquired from the monitoring target,
A data accumulation step for accumulating data obtained from the monitoring target;
A reference space creation step of creating a reference space based on the data accumulated by the data accumulation step;
A data acquisition step of acquiring data from the monitoring target;
A distance calculating step of calculating a Mahalanobis distance by inputting the data obtained in the data acquisition step to the reference space created by the reference space creating step;
An instruction receiving step for receiving an instruction of the user and defining an operation procedure of the reference space creation step, the data acquisition step, or the distance calculation step according to the instruction;
With
In the instruction accepting step, as the instruction, accepting addition or deletion of data types handled in the reference space creating step, the data acquiring step, and the distance calculating step,
In the instruction accepting step, as the instruction, accepting specification of the creation condition of the reference space in the reference space creating step,
The designation of the creation condition is designation of a time range of data used in creation of the reference space by the reference space creation step among the data accumulated by the data accumulation step,
In the distance calculation step, instead of the data acquired in the data acquisition step, the Mahalanobis distance is calculated using the data stored in the data storage step, so that the trial according to the instruction in the instruction reception step is performed. A situation analysis method characterized by being made possible.

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