JP4430694B2 - Unwanted event detection device - Google Patents

Description

  The present invention relates to an unnecessary event detection apparatus used in a plant system in which batch process control is performed.

  In batch process control performed in a plant system, a manufacturing process is divided into several sequence operations of plant equipment (hereinafter, this sequence operation is referred to as a batch sequence operation), and these sequence operations are combined to be desired. Is manufacturing products. Therefore, if an abnormality occurs in one plant device during execution of batch process control, there is a possibility that the influence will affect the entire system and cause great damage. Therefore, in the plant system, a technique for quickly and accurately diagnosing whether or not an abnormality has occurred is required, and an apparatus that realizes such a technique is called an abnormality diagnosis apparatus. In addition, there is a strong demand for technology to prevent the occurrence of abnormal phenomena by quickly detecting abnormal tendency phenomena that lead to the occurrence of abnormalities (referred to as abnormal signs in this specification). A device that performs this process is called an abnormal sign diagnostic device (see, for example, Patent Document 1).

A conventional abnormality diagnosis apparatus calculates an evaluation value using a preset abnormality diagnosis evaluation formula, and performs abnormality diagnosis by determining whether or not the calculated evaluation value exceeds a predetermined threshold value. It was a general configuration. In addition, the conventional abnormality sign diagnosis apparatus sets the standard operation pattern value for the plant value related to the plant equipment to be diagnosed, sets the upper and lower limit values for this pattern value, and sets the current batch value. When the process value deviates from the range of the upper and lower limit values, it is determined that the occurrence of an abnormal sign is observed.
JP-A-4-204117

  By the way, the characteristics of various plant equipments in the plant system are not necessarily constant during the operation period, and change not a little due to secular change, remodeling or addition of plant equipment, and the like. Therefore, it is necessary for the operator to appropriately correct the numerical values of the parameters in the abnormality diagnosis evaluation formula used when the abnormality diagnosis apparatus performs abnormality diagnosis so as to cope with such a change in characteristics of the plant equipment. However, such a correction work requires a lot of time and labor, so the burden on the operator is heavy. In addition, abnormality diagnosis is often performed without correction. In some cases, highly accurate diagnosis results could not be obtained.

  In addition, the conventional abnormality sign diagnosis is performed based on monitoring the process value appearing as a final control result and determining whether or not the process value is within the range of the upper and lower limit values of the standard operation pattern value. It has been broken. However, even if the process value as a control result is normal, an abnormal sign may actually appear. Therefore, there is a case where a diagnosis result having sufficient accuracy cannot be obtained for the abnormal sign diagnosis.

  Furthermore, in batch process control, a plurality of automatic sequence programs are usually started, but sometimes the program is caused by an erroneous operation by the operator, some sudden accident, or a program mistake when the contents of the automatic sequence program are changed. Startup may not be performed correctly. In this case, it is possible to easily find the state where the originally required automatic sequence program has not been started based on the plant control result, adjustment result, etc., but the unnecessary unnecessary and unnecessary automatic sequence program is erroneously started. It is difficult to discover this situation. If such an originally unnecessary and irrelevant automatic sequence program is left in an erroneous state, it may eventually lead to an unexpected accident.

  The present invention has been made in view of the above circumstances, and an object thereof is to provide an unnecessary event detection apparatus capable of detecting a state in which an originally unnecessary and irrelevant automatic sequence program is erroneously activated.

  According to a first aspect of the present invention, there is provided a plant system that performs batch process control by executing automatic sequence control for a plurality of plant devices by activating a plurality of automatic sequence programs. The storage means for storing the operation history information and the automatic sequence information for these plant devices, and the non-corresponding automatic sequence information not corresponding to the operation history information by comparing the operation history information stored in the storage means with the automatic sequence information. The non-corresponding sequence information detecting means to be detected and the automatic sequence program related to the non-corresponding automatic sequence information detected by the non-corresponding sequence information detecting means are specified, and the fact that the specified program is currently activated is notified. Unnecessary program start notification means, And said that there were pictures.

  According to a second aspect of the present invention, in the first aspect of the invention, the plant system includes an abnormality diagnosis device that diagnoses whether or not an abnormality has occurred in the plant equipment, and the storage means and the non-corresponding sequence information The detecting means and the unnecessary program start notifying means are installed in an external state with respect to the abnormality diagnosis apparatus.

  ADVANTAGE OF THE INVENTION According to this invention, the unnecessary event detection apparatus which can detect the state where the originally unnecessary and unrelated automatic sequence program was started accidentally can be provided.

  Before describing the unnecessary event detection apparatus of the present invention, reference examples of the abnormality diagnosis apparatus and abnormality sign diagnosis apparatus will be described. FIG. 1 is a block diagram illustrating a configuration of a first reference example according to the abnormality diagnosis apparatus.

  In FIG. 1, the operation data input unit 101 includes a process data input unit 102 and a condition data fetch unit 103. The process data input means 102 inputs process data from a process controller or a plant monitoring device (not shown), and outputs the process data to the abnormality determination means 104 as operation data. Process data refers to analog values such as temperature, pressure, flow rate, and current, and digital values such as valve opening / closing and pump operation / stopping. Similarly, the condition data fetching means 103 inputs condition data from a process controller or a plant monitoring device, and outputs this as operation data to the abnormality determining means 104. The condition data is data relating to various conditions such as operation time, product type, and production amount when performing batch process control.

  The abnormality determination unit 104 inputs operation data from the process data input unit 102 and the condition data fetch unit 103, that is, process data and condition data, and diagnoses whether or not an abnormality has occurred using a predetermined abnormality diagnosis evaluation formula. The result is output to the abnormality notification means 105. The abnormality notification unit 105 notifies the operator of the contents of the diagnosis result input from the abnormality determination unit 104 by means of a screen display or voice.

  The abnormality determination unit 104 also outputs operation data used to determine abnormality diagnosis for each batch and stores the operation data in the operation data storage unit 106. Then, the evaluation formula correction means 107 inputs the operation data stored for each batch from the operation data storage means 106, and the abnormality diagnosis evaluation used by the abnormality determination means 104 according to the change state of the process characteristics for each batch. The numerical value of the parameter in the formula is modified.

  Next, the operation of FIG. 1 will be described. When batch process control is started in the plant, the abnormality determination unit 104 inputs operation data from the operation data input unit 101 and performs abnormality diagnosis based on the abnormality diagnosis evaluation formula. Then, the abnormality notification unit 105 notifies the operator of the diagnosis result through a screen or voice. Now, assuming that the diagnosis result of the abnormality determination unit 104 is normal, the evaluation formula correction unit 107 analyzes the change state of the accumulated operation data so far stored in the evaluation formula correction unit 107, and if necessary, The parameter value in the abnormality diagnosis evaluation formula is corrected. Thereby, the abnormality determination means 104 can always apply the abnormality diagnosis evaluation formula in which the value of the parameter is appropriately set according to the operation state of the plant equipment, and can improve the diagnosis accuracy.

  A typical example that requires correction by the evaluation formula correcting means 107 is a case where the characteristics of the plant equipment change due to secular change. For example, in the case of a combustion device such as a boiler, the combustion efficiency gradually decreases while the operation is continued for a long time. This is an effect of soot adhering to the inside of the heat transfer pipe connected to the boiler. Thus, when the abnormality determination unit 104 performs abnormality diagnosis using the same abnormality diagnosis evaluation formula as the initial state in a state where the combustion efficiency is reduced to some extent, the abnormality determination unit 104 performs a diagnosis of an abnormality. Such a decrease in combustion efficiency should be interpreted as a temporary change in characteristics, and should not be interpreted as occurrence of an abnormality.

Therefore, the evaluation formula correcting means 107 analyzes the operation data accumulated so far, and corrects the parameter in the abnormality diagnosis evaluation formula to a numerical value corresponding to the change characteristic, so that the abnormality determining means abnormality determining means 104 becomes abnormal. The diagnosis to the effect is not made.

  Then, in the subsequent maintenance work, if the soot blow process called soot blow is performed, the reduced combustion efficiency is recovered. At that time, the evaluation formula correcting means 107 is in the abnormality diagnosis evaluation formula. The numerical value of the parameter is returned to the original value. The evaluation formula correcting means 107 monitors the change in the operation data that changes during the repeated operation in the batch process control as described above, and appropriately corrects the abnormality diagnosis evaluation formula according to the change state. Yes.

  FIG. 2 is a block diagram illustrating a configuration of a second reference example according to the abnormality diagnosis apparatus. 2 is different from FIG. 1 in that a stored data input state selection unit 108 is provided between the abnormality determination unit 104 and the operation data storage unit 106. The stored data input state selection means 108 is constituted by a switch device having a normally closed contact.

  The operation of FIG. 2 will be described briefly. Now, if the abnormality determination means 104 inputs the operation data from the operation data input means 101 to perform abnormality diagnosis, and the diagnosis result is abnormal, the abnormality determination means 104 Outputs a data input cutoff command to the stored data input state selection means 108. As a result, the normally closed contact of the stored data input state selection means 108 is opened, and the operation data input from the abnormality determination means 104 to the operation data storage means 106 is blocked. That is, the operation data when the abnormality determination unit 104 diagnoses an abnormality is abnormal data that is inappropriate for the evaluation formula correction unit 107 to use to correct the abnormality diagnosis evaluation formula. The storage of the operation data is stopped. Therefore, it is possible to prevent the evaluation formula correcting unit 107 from performing erroneous correction based on the abnormal data. Note that the normally closed contact of the stored data input state selection means 108 is opened by a data input cutoff command from the abnormality determination means 104, but the operator opens the normally closed contact by manual operation. It can also be done.

  FIG. 3 is a block diagram illustrating a configuration of a third reference example according to the abnormality diagnosis apparatus. 3 differs from FIG. 2 in that the stored data input state selection means 108 is changed to a stored data input state selection means 108A. The stored data input state selection means 108A has a switching contact for performing a switching operation between the input side terminal and the cutoff side terminal, and the operation data storage means 106 has the switching contact located at the input side terminal. The operation data from the abnormality determination means 104 can be input only in the state in which it is present. And the operation data from the abnormality determination means 104 are interrupted | blocked in the state in which the switching contact is located in the interruption | blocking side.

  In addition, the abnormality determination means 104 in the third reference example is not only an abnormality, but also an intermediate state such as a so-called gray zone is provided between the abnormal state and the normal state. Ranks are set according to the severity of abnormalities in the gray zone status. Then, the abnormality notification means 105 notifies the operator of such a gray zone state together with the rank information.

  Next, the operation of FIG. 3 will be described. The switching contact of the stored data input state selection means 108A is positioned on the input side in a normal state, and the operation data from the abnormality determination means 104 is output to the operation data storage means 106. Then, it is assumed that the abnormality determining unit 104 diagnoses that the operating state of the plant equipment is in a gray zone, and the abnormality notification unit 105 notifies the operator of the diagnosis result together with the rank information. Then, the operator can store the operation data in this state in the operation data storage unit 106, that is, the operation data that the evaluation formula correcting unit 107 may use to correct the abnormality diagnosis evaluation formula. If it is determined that it can be used, it is left as it is. On the other hand, when it is determined that the operation data cannot be used, the operator manually switches the switching contact of the stored data input state selection means 108A from the input side to the cutoff side. Thereby, the storage process of the operation data in the operation data storage means 106 is stopped.

  As described above, in this reference example, a gray zone state is provided in addition to the abnormal state or the normal state for the operation state of the plant equipment, and the operation data in the gray zone state corrects the abnormality diagnosis evaluation formula. It is possible to leave it to the operator's judgment as to whether it can be used in some cases. Therefore, according to this reference example, the operator's own evaluation can be reflected in the correction of the abnormality diagnosis evaluation formula, and it is possible to make a flexible correction instead of a mechanical or lever ruler correction.

  FIG. 4 is a block diagram illustrating a configuration of a fourth reference example according to the abnormality diagnosis apparatus. FIG. 4 differs from FIG. 3 in that a mode selection unit 109 is provided between the process data input unit 102 and the abnormality determination unit 104. The mode selection means 109 has a switching contact for performing a switching operation between the learning mode side terminal and the diagnosis mode side terminal. In the state where the switching contact is located on the diagnosis mode side, the process data from the process data input means 102 is input to the abnormality determination means 104 as it is, as in the case of the reference example of FIG. It will work in the same way. On the other hand, in the state where the switching contact is located on the learning mode side, the process data from the process data input means 102 bypasses the abnormality determination means 104 and is directly input to the operation data storage means 106. Yes.

  Next, the operation of FIG. 4 will be described. In a state where the switching contact of the mode selection means 109 is located on the diagnosis mode side, the operation is the same as in the case of FIG. When the specifications of the plant equipment are changed in the plant system, or when plant equipment is added or the like, the process characteristics in the batch process control also change. It is necessary to correct the abnormality diagnosis evaluation formula while taking into consideration. Therefore, in order to ascertain such changes in process characteristics and correct the abnormality diagnosis evaluation formula accurately, operation data after a change in plant equipment specifications or expansion is performed by performing a test operation, etc. It is necessary to store in the storage means 106.

  In this case, if the operation data immediately after the specification change or expansion is input as it is to the abnormality determination means 104 as in the configuration of FIG. 3, the abnormality determination means 104 determines an unnecessary abnormality determination based on this input. As a result, the operator only has to be annoyed. Therefore, in such a case, the operator switches the switching contact of the mode selection means 109 to the learning mode side, and a sufficient amount of operation data is accumulated so that the evaluation formula correction means 107 can correct the abnormality diagnosis evaluation formula correctly. Until then, the operation data from the process data input means 102 bypasses the abnormality determination means 104 so that the abnormality determination function of the abnormality determination means 104 does not work. When a sufficient amount of operation data having stable characteristics is accumulated in the operation data storage means 106, the operator switches the switching contact of the mode selection means 109 from the learning mode side to the diagnosis mode side. Thus, by adding the mode selection means 109, it is possible to smoothly perform learning after changing the specifications of the plant equipment or after addition.

  In this reference example, the operator determines whether or not sufficient learning has been performed, and the switching contact of the mode selection means 109 is switched from the learning mode side to the diagnostic mode side by manual operation. It is also possible to adopt a configuration in which switching control of the switching contact is automatically performed by providing means for performing the above. 4 is obtained by adding the mode selection unit 109 to the configuration of FIG. 3. However, the mode selection unit 109 can be added to the configurations of FIG. 1 and FIG.

  FIG. 5 is a block diagram illustrating a configuration of a first reference example according to the abnormality sign diagnosis apparatus. In FIG. 5, an operation data input unit 201 inputs operation data for each batch including process data and operation amount data from a process controller (not shown), and uses the operation data as operation pattern data for each batch. The data is output to the data storage means 202. The standard operation pattern generation unit 203 generates a standard operation pattern for each batch based on the past operation pattern data accumulated in the operation pattern data storage unit 202, and outputs this to the abnormality sign determination unit 204. ing.

  The abnormality sign determination unit 204 inputs the operation data in the current batch process control and the standard operation pattern from the standard operation pattern generation unit 203. The operation amount data in the operation data and the operation amount data The presence or absence of an abnormal sign is determined based on the comparison with the standard operation pattern. Then, the abnormality sign notifying unit 205 notifies the operator of the contents of the determination result of the abnormality sign determining unit 204 by screen display, voice, or the like.

  Next, the operation of FIG. 5 will be described. When batch process control is started in the plant, operation data for each batch from the operation data input unit 201 is accumulated in the operation pattern data storage unit 202 as operation pattern data. The standard operation pattern generation unit 203 generates a standard operation pattern for each batch based on the accumulated operation pattern data, and outputs this to the abnormality sign determination unit 204.

  FIG. 6 is an explanatory view showing the data (PVSN, MVSN) relating to the standard operation pattern generated at this time and the operation data (PV, MV) to be diagnosed in comparison. If it is the Nth batch process control to be diagnosed this time, the standard operation pattern generation means 203 has generated standard operation patterns P1, P2,..., PN-1 in the past. This time, a new standard operation pattern PN is generated based on the addition of the Nth operation data, and this is output to the abnormality sign determination means 204. This standard operation pattern PN includes at least a standard process value PVSN and a standard operation output MVSN.

  The abnormality sign determination unit 204 compares the current operation output MV and the standard operation output MVSN. If the current time is the time t1, the abnormality sign determination unit 204 compares the operation output MV up to the time t1 and the standard operation output MVSN. The difference integral value S is calculated, and if the difference integral value S exceeds a preset threshold value, it is determined that an abnormal sign has appeared.

  On the other hand, in the conventional method of determining an abnormal sign, a band defined by the instantaneous instantaneous upper and lower limits is set in the standard process value PVSN, and the current process value PV is centered on this PVSN. This is a method of determining that an abnormal sign does not appear if it is within the band, and an abnormal sign appears if it is not within the band. However, such a determination method uses a process value as a control result as a determination material, and even if the current process value PV is within the above-mentioned band, an abnormality sign has already actually appeared. It is possible that Therefore, in the present invention, an operation amount that is considered to reflect a sign of abnormality of the device more faithfully than the process value is used as the determination material.

  According to the abnormality sign diagnosis apparatus of this reference example, if the differential integral value S between the operation output MV and the standard operation output MVSN up to time t1 exceeds the threshold value, the current process value PV is the standard. Even if it matches the process value PVSN, it can be determined that an abnormality sign has already appeared in the plant equipment already diagnosed, and an abnormality sign diagnosis with higher accuracy than before can be performed. become. Further, in the abnormality sign diagnosis apparatus of the present reference example, a new standard operation pattern is generated for each batch, so that the latest pattern can be obtained and a noise-laden pattern can be removed.

  FIG. 7 is a block diagram showing a configuration of a second reference example according to the abnormality sign diagnosis apparatus. FIG. 7 differs from FIG. 5 in that standard operation pattern data storage means 206 and change tendency analysis means 207 are added.

  That is, the standard operation pattern data storage unit 206 stores the standard operation patterns P1, P2,..., PN-1 generated by the standard operation pattern generation unit 203 for each batch. The change tendency analysis means 207 reads the stored standard operation patterns P1, P2,..., PN-1, analyzes the pattern change tendency, and outputs the analysis result to the abnormality predictor notification means 205. The abnormality predictor notifying means 205 notifies the operator of the analysis result.

  As described above, even if a phenomenon in which the efficiency gradually decreases until soot blowing is performed, it should not be interpreted as an abnormality or a sign of abnormality. Therefore, when the abnormality predictor notifying unit 205 diagnoses that the abnormality predictor appears, the operator can hesitate the analysis result of the change tendency analyzing unit 207 and further investigate the operation state of the plant in detail. Therefore, it is possible to carefully judge whether the diagnosis is based on the appearance of a true abnormal sign or based on a phenomenon due to mere secular change.

  Next, an embodiment according to the unnecessary event detection apparatus of the present invention will be described. FIG. 8 is an explanatory diagram showing the configuration of a computer system provided with the unnecessary event detection apparatus of this embodiment. This computer system has a plant monitoring device 301 and an abnormality diagnosis device 306 connected by a LAN 305 such as Ethernet.

The plant monitoring apparatus 301 has a PC main body 302 and a display unit 303, and inputs operation data 304 from a process controller (not shown). The plant monitoring apparatus 301 can transfer the input operation data 304 to the abnormality diagnosis apparatus 306 side in addition to using it for its own monitoring control.

  The abnormality diagnosis device 306 includes a PC main body 307, a display unit 308, and a storage unit 309 provided in the PC main body 307, and the unnecessary event detection apparatus of the present embodiment is also mounted in the PC main body 307. Yes. FIG. 9 is a block diagram showing the configuration of the unnecessary event detection apparatus, which includes an input unit 310, a storage unit 311, a non-corresponding sequence information detection unit 312, and an unnecessary program start notification unit 313.

  The input means 310 periodically inputs the operation data 304 from the plant monitoring apparatus 301 side at a cycle that does not affect the processing of the plant monitoring apparatus 301, and outputs it to the storage means 311 for storage. The storage unit 311 is configured by a part of the storage unit 309. Further, the storage means 311 can function as a relational database, and can store for a long time in a state where operation data is classified into process data, automatic sequence information, operation history information, manual operation history information, and the like. is there.

  The non-corresponding sequence information detecting means 312 inputs the operation data stored in the storage means 311 and checks whether or not the input operation data contains information by an irrelevant program other than the originally required automatic sequence program. It is for detection. Then, when the non-corresponding sequence information detection unit 312 detects information from an irrelevant program, the unnecessary program activation notification unit 313 displays the information on the screen of the display unit 308 or notifies the operator by voice or the like. It has become.

  FIG. 10 is a time chart showing an operation example of the plant equipment related to the operation data 304. Explaining this figure, a start command 314 for the valve 1 is issued at a time t0 by an automatic sequence program, and the valve 1 starts an opening operation in response thereto, and outputs an open answer 315 at a time t1. Next, based on the output of the open answer 315, the valve 2 starts to open at time t2, and the pump 2 starts operation. When the pump 2 stops operating at time t3, the pump 1 starts operating at time t4. Thereafter, when the valve 2 is closed at the time t5, the valve 1 is closed at the time t6, and the pump 1 is stopped. Further, the valve 3 starts opening at the time t7. To do.

  FIG. 11 is an explanatory diagram showing the types of operation data 304 and their corresponding relationships. In this figure, process data 316 is data indicating temperature, flow rate, pressure, current value or the like at a predetermined location in the plant, and automatic sequence information 317 is information generated by an automatic sequence program. The start command 314 is included in the automatic sequence information 317. The operation history information 318 is information indicating an actual operation history of the plant equipment controlled by the automatic sequence program, and the above open answer 315 is included in the operation history information 318.

  Further, the manual operation history information 319 is history information regarding the operator's manual operation on the plant equipment (this manual operation history information 319 is also included in the operation history information 318). .

  Next, a method for the non-corresponding sequence information detecting means 312 to detect whether or not an irrelevant program other than the originally required automatic sequence program is activated will be described with reference to the explanatory diagram of FIG. For example, it is assumed that the originally required automatic sequence programs are three programs of PRA, PRB, and PRC, and the automatic sequence information generated by these programs is 317A, 317B, and 317C, respectively. Assume that the periods during which these programs are active are T1, T2, and T3, respectively, and it is detected whether or not information from unrelated programs is not included in these periods.

  In the operation history information 318, all the operation histories of the automatic sequence programs PRA, PRB, and PRC and the manual operation of the operator should appear. Therefore, the non-corresponding sequence information detecting unit 312 sequentially deletes information corresponding to the automatic sequence information 317A, 317B, 317C and the manual operation history information 319 from the operation history information 318. Then, non-corresponding sequence information 320 is obtained after deleting all. If the system is operating correctly and an unnecessary program is not activated, the data included in the non-corresponding sequence information 320 should be zero, but some data is not deleted in the example shown in FIG. Remaining. Therefore, it can be seen that an originally unnecessary program is erroneously started.

  Then, the non-corresponding sequence information detecting means 312 can identify which program is the unnecessary program based on the detected non-corresponding sequence information 320. The unnecessary program start notification means 313 notifies the operator that the specified unnecessary program is erroneously started.

  Further, since the information that could not be specified is considered to be an event that occurs due to a plant problem such as a malfunction of the device due to a water hammer or a safety valve operation due to an abnormal pressure in the container, the unnecessary program start notification means 313 may To the operator.

  Although the above embodiment has been described assuming that the abnormal event detection apparatus having the configuration shown in FIG. 9 is provided in the abnormality diagnosis apparatus 306, such an unnecessary event detection apparatus is externally attached to the abnormality diagnosis apparatus 306. A configuration (that is, a configuration using a separate and independent personal computer) may be used. According to such an external configuration, it is possible to prevent troubles in the diagnostic processing of the abnormality diagnosis device 306 due to the detection operation of the unnecessary event detection device.

  As described above, according to the unnecessary event detection apparatus of the above-described embodiment, it is possible to easily and reliably detect a state in which an irrelevant program other than the originally required automatic sequence program is activated.

The block diagram which shows the structure of the 1st reference example which concerns on an abnormality diagnosis apparatus. The block diagram which shows the structure of the 2nd reference example which concerns on an abnormality diagnosis apparatus. The block diagram which shows the structure of the 3rd reference example which concerns on an abnormality diagnosis apparatus. The block diagram which shows the structure of the 4th reference example which concerns on an abnormality diagnosis apparatus. The block diagram which shows the structure of the 1st reference example which concerns on the abnormality sign diagnostic apparatus. Explanatory drawing which contrasted and showed the data (PVSN, MVSN) which concern on the standard operation pattern produced | generated by the standard operation pattern production | generation means 203 in FIG. 5, and the operation data (PV, MV) used as a diagnostic object. The block diagram which shows the structure of the 2nd reference example which concerns on the abnormality sign diagnostic apparatus. Explanatory drawing which shows the structure of the computer system with which embodiment which concerns on the unnecessary event detection apparatus of this invention is comprised. The block diagram which shows the structure of the unnecessary event detection apparatus mounted in PC main body 307 of FIG. The time chart which shows the operation example of the plant apparatus which concerns on the operation data 304 of FIG. Explanatory drawing which shows the kind of the driving | running | working data 304 of FIG. 8, and those correspondence. Explanatory drawing about the detection method of the non-corresponding sequence information detection means 312 in FIG.

Explanation of symbols

101: Operation data input means 102: Process data input means 103: Condition data fetch means 104: Abnormality determination means 105: Abnormality notification means 106: Operation data storage means 107: Evaluation formula correction means 108, 108A: Storage data input state selection Means 109: Mode selection means 201: Operation data input means 202: Operation pattern data storage means 203: Standard operation pattern generation means 204: Abnormality sign determination means 205: Abnormality sign notification means 206: Standard operation pattern data storage means 207: Change tendency Analysis means P1, P2,..., PN-1, PN: standard operation pattern PVSN: standard process value MVSN: standard operation output PV: process value MV: operation output 301: plant monitoring device 302: PC main body 303: display unit 304: Operation data 305: LAN
306: Abnormality diagnosis device 307: PC main body 308: Display unit 309: Storage unit 310: Input unit 311: Storage unit 312: Non-corresponding sequence information detection unit 313: Unnecessary program activation notification unit 314: Activation command 315: Open answer 316: Process data 317: Automatic sequence information 318: Operation history information 319: Manual operation history information 320: Non-corresponding sequence information

Claims (2)

In a plant system that performs batch process control by running multiple automatic sequence programs and executing automatic sequence control for multiple plant equipment,
Storage means for storing operation history information from the plant equipment, and automatic sequence information for these plant equipment,
Non-corresponding sequence information detecting means for detecting non-corresponding automatic sequence information that does not correspond to the operation history information by comparing the operation history information stored in the storage means and the automatic sequence information;
An unnecessary program start notification means for specifying an automatic sequence program related to the non-support automatic sequence information detected by the non-corresponding sequence information detection means, and notifying that the specified program is currently started,
An unnecessary event detection apparatus comprising: The plant system includes an abnormality diagnosis device that diagnoses whether or not an abnormality has occurred in the plant equipment,
The storage means, the non-corresponding sequence information detection means, and the unnecessary program activation notification means are installed in an external state with respect to this abnormality diagnosis device.
The unnecessary event detection apparatus according to claim 1, wherein:

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