JP6679247B2 - Driving support system, driving support method and program - Google Patents

Description

  The present invention relates to a driving support system, a driving support method, and a program.

  Power plants and garbage incinerator plants are often operated automatically by control devices. For example, in Patent Document 1, as a control value for evaluating the operating state of a plant, a control value indicating a fluctuation range of a normal state, a control value indicating a boundary between a normal state and an alarm state, and a boundary between an alarm state and a stopped state are shown. An apparatus is disclosed which sets a control value, evaluates the operating state of a plant by these control values, and performs automatic operation.

  However, in reality, it is difficult to automate all plant control. For example, in a garbage incineration plant, the combustion state in the furnace changes every moment because the contents of the input garbage and the input amount of the garbage are not constant. For such changes, for example, when performing control such as detecting the state quantity that is an index of the combustion state with a sensor and automatically performing an operation according to the detected value, the automatic control changes the actual combustion state. May not catch up with. Therefore, a plant operator comprehensively judges the operating state, predicts a change in the operating state, and intervenes operations before automatic control works to perform stable plant operation.

JP, 2005-267241, A

  In this way, it is difficult to perform automatic control for changes in operating conditions that occur due to factors such as inconsistent input to the plant, and it may be necessary for operators to respond. It is the know-how of the staff. Generally, it is not easy to formalize know-how and incorporate it into a control device. In addition, the operation by the operator varies depending on the operating conditions and operating environment of the plant, so it may not be appropriate to uniformly incorporate it in automatic control. However, in order to operate the plant stably, it is necessary to convey the know-how to inexperienced operators and share it.

  Therefore, an object of the present invention is to provide a driving support system, a driving support method, and a program that can solve the above problems.

A first aspect of the present invention is based on operating history information indicating a history of operating states of equipment operating in a plant and operation history information indicating a history of performing an intervention operation on the equipment, the operating status of the equipment. An operation suggestion rule generation unit that generates past intervention history information in which the above-mentioned intervention operation and the intervention operation are associated with each other, and generates rule information including a condition for performing the intervention operation based on the past intervention history information; Acquiring the driving status information, based on the acquired driving status information and the rule information, the driving status comparison and determination unit that determines the intervention operation corresponding to the driving status information, and the driving status comparison and determination unit An operation instruction information output unit that outputs operation suggestion information that guides the execution of the determined intervention operation, and operation information that is performed on the operation suggestion information output by the operation instruction information output unit. Based on the operation execution information recording unit to be recorded and the operation information recorded in the operation execution information recording unit, the execution rate of the intervention operation guided by the operation proposal information with respect to the output of the operation proposal information is calculated. An implementation status determination unit, and the implementation status determination unit, with respect to the output of the operation suggestion information up to now, the intervention guided by the operation suggestion information every time the operation suggestion information is output. The ratio of the operation performed, the ratio of not performing the intervention operation, and the ratio of the operation different from the intervention operation are calculated, and the calculated result is recorded in the storage unit. When the performed rate is the implementation rate and the implementation rate is equal to or greater than a predetermined threshold value, the operation instruction information output unit is instructed to output the operation suggestion information, and the operation instruction information output unit is the execution status determination unit. Before calculating Implementation rate does not output the operation suggestion information is lower than a predetermined threshold value, a driving support system the implementation rate outputs said operation suggestion information if more than the threshold value.

The driving support system according to the second aspect of the present invention further includes an operation suggestion rule setting unit that receives the setting of the rule information reviewed based on the operation information recorded by the operation execution information recording unit.
The operation suggestion rule setting unit in the third aspect of the present invention weights more when an experienced operator does not follow the operation suggestion information than when an inexperienced operator does not follow the operation suggestion information. The setting of the rule information reviewed with a mark is accepted.

In the driving support system according to the fourth aspect of the present invention, the setting of the state quantity included in the driving state information used by the driving state comparison / determination unit to determine the intervention operation and the setting of the type of the value of the state quantity. And a comparison item setting unit that receives

The driving support system in the fifth aspect of the present invention further includes an output mode setting unit that receives selection of an output mode of the operation suggestion information, and the operation instruction information output unit is received by the output mode setting unit. Based on the setting of the output mode, the operation suggestion information related to the intervention operation performed in another plant of the same model is output.

The operation suggestion information in the sixth aspect of the present invention includes the type of operation and the operation amount for the device.

The operation suggestion rule generation unit in the seventh aspect of the present invention learns the past intervention history information by at least one of a statistical method and a machine learning method to obtain rule information including a condition for performing the intervention operation. To generate.
In the eighth aspect of the present invention, the operation suggestion rule generation unit uses the operation target item to be monitored for determining whether to perform the intervention operation in a past predetermined period based on the time when the intervention operation is performed. Extracted from history information, calculating comparison information indicating the behavior of the monitoring target item in the predetermined period, and generating the past intervention history information by associating the comparison information with the execution of the intervention operation. Then, the decision tree is used to analyze what value the comparison information has when the intervention operation is performed, and the rule information is generated.

The operation instruction information output unit in the ninth aspect of the present invention outputs a control signal for instructing execution of the intervention operation determined by the driving state comparison and determination unit.

A tenth aspect of the present invention is based on operating history information indicating a history of operating states of equipment operating in a plant, and operation history information indicating a history of performing an intervention operation on the equipment, based on the equipment. A step of generating past intervention history information in which an operating state and the intervention operation are associated with each other, and generating rule information including a condition for performing the intervention operation based on the past intervention history information; Acquiring state information, based on the driving state information and the rule information, a step of determining the intervention operation corresponding to the driving state information, and operation suggestion information for guiding the execution of the determined intervention operation. and outputting, and recording the operation information was performed on the operation proposed information the output, every time the operation proposed information is output, the recorded the operation Based on the report, the ratio of the intervention operation guided by the operation suggestion information to the output of the operation suggestion information so far, the ratio of not performing the intervention operation, and the intervention operation. A step of calculating a rate of performing an operation different from the above, and recording the calculated result in the storage unit; and a rate of performing the intervention operation as the implementation rate. Instructing the operation instruction information output unit to output the operation suggestion information, if the calculated implementation rate is lower than a predetermined threshold value, the operation suggestion information is not output, and if the implementation rate is equal to or higher than the threshold value. For example, a step of outputting the operation suggestion information, the driving support method.

According to an eleventh aspect of the present invention, a computer of a plant control device is provided with operating history information indicating a history of operating states of equipment operating in a plant, and operation history information indicating a history of performing an intervention operation on the equipment. Means for generating past intervention history information in which the operating state of the device and the intervention operation are associated with each other, and rule information including a condition for performing the intervention operation based on the past intervention history information. Means for determining the intervention state information corresponding to the operation state information based on the obtained operation state information and the rule information, and implementation of the determined intervention operation guiding means for outputting the operation suggestion information, means for recording the operation information was performed on the operation proposed information the output, every time the operation proposed information is output, before Based on the recorded operation information, with respect to the output of the operation suggestion information so far, a ratio of the intervention operation guided by the operation proposal information, and a ratio of not performing the intervention operation. A means for calculating a rate at which an operation different from the intervention operation is performed and recording the calculated result in a storage unit, the rate at which the intervention operation is performed as the implementation rate, and the implementation rate being a predetermined threshold value. If the above, the means for instructing the operation instruction information output unit to output the operation suggestion information, if the calculated implementation rate is lower than a predetermined threshold value, the operation suggestion information is not output, and the implementation rate is the threshold value. The above is a program for functioning as a means for outputting the operation proposal information.

  According to the present invention, it is possible to propose an appropriate intervention operation for the current operating state of the plant. As a result, even an inexperienced operator can perform stable plant operation equivalent to a skilled operator.

FIG. 1 is a schematic block diagram showing an example of the configuration of a driving support system according to the first embodiment of the present invention. FIG. 2 is an example of a functional block diagram of the driving support device in the first embodiment of the present invention. It is an example of operation history information in the first embodiment of the present invention. It is an example of driving history information in the first embodiment of the present invention. It is an example of past intervention history information in the first embodiment of the present invention. It is a 1st figure which shows an example of the operation proposal rule in 1st embodiment of this invention. It is a 2nd figure which shows an example of the operation proposal rule in 1st embodiment of this invention. It is a figure which shows the example of a display of the proposal information in 1st embodiment of this invention. It is a figure which shows an example of the operation implementation record information in 1st embodiment of this invention. It is a figure which shows an example of implementation status information of the intervention operation in 1st embodiment of this invention. It is a first processing flow of the driving support system in the first embodiment of the present invention. It is a second processing flow of the driving support system in the first embodiment of the present invention.

<First embodiment>
Hereinafter, a driving support system according to an exemplary embodiment of the present invention will be described with reference to FIGS. FIG. 1 is a schematic block diagram showing an example of the configuration of a driving support system according to the first embodiment of the present invention.
The driving support system 1 includes a history information creating device 15 (15A, 15B), an operation history information DB (database) 16 (16A, 16B), a driving history information DB (database) 17 (17A, 17B), a communication device 18 (18A). , 18B) and a driving support device 20.

  The plant 10A includes an operation panel 11A for manually operating the equipment of the plant, a control device 12A for automatically controlling the equipment of the plant, a DCS (distributed control system) 13A, and a sensor 14A for detecting an operating state of the plant. Is provided. The history information creation device 15A is information on the type and amount of operation performed from the operation panel 11A, the control device 12A, and the DCS 13A to devices (not shown) provided in the plant (for example, tanks, boilers, gas turbines, etc.). Is acquired and stored in the operation history information DB 16A. In addition, the history information creation device 15 acquires information on the state quantity detected by the DCS 13A and the sensor 14A provided in the device, the pipe, and the like, and stores it in the operation history information DB 17A. Further, the communication device 18A transmits the control signal generated by the control device 12A and various state quantities detected by the DCS 13A and the sensor 14A to the driving support device 20 at predetermined time intervals (for example, every 10 seconds). The information on various state quantities transmitted to the driving support apparatus 20 by the communication device 18A at predetermined time intervals is generically called driving state information. Further, the communication device 18A uses the information stored in the operation history information DB 16A (referred to as operation history information) and the information stored in the driving history information DB 17A (referred to as driving history information), for example, once a day. It transmits to the driving support device 20. The same applies to the plant 10B.

  The operation panel 11A and the operation panel 11B are collectively referred to as the operation panel 11, the control device 12A and the control device 12B are collectively referred to as the control device 12, the DCS 13A and DCS 13B are collectively referred to as the DCS 13, the sensor 14A and the sensor 14B are collectively referred to. It is called a sensor 14. Similarly, the history information creating device 15A and the history information creating device 15B are collectively referred to as the history information creating device 15, and the operation history information DB 16A and the operation history information DB 16B are collectively referred to as the operation history information DB 16, the driving history information DB 17A, and the driving history information. The DB 17B is generically called the operation history information DB 17, and the communication devices 18A and 18B are generically called the communication device 18.

  The driving support device 20 receives operating state information, operation history information, and driving history information from one or a plurality of plants 10 (for example, the plant 10A and the plant 10B) and generates information that supports driving of those plants. To do. For example, in the case of a garbage incineration plant, the operation method may be adjusted even in the same plant according to the amount of garbage input and the contents of the garbage. Usually, such adjustment is often performed by a trained operator based on comprehensive judgment based on operating state information and experience. The driving support device 20 of the present embodiment is an inexperienced operator who formalizes the know-how worn by a skilled operator using the operation history information and the operation history information received from the plant 10A and the like. Also generates operation suggestion information so that the know-how can be utilized. For example, the driving support device 20 constitutes a part of a control system (not shown) that controls the plant 10A and the plant 10B. An inexperienced operator flexibly operates the control system according to the situation of the plant 10A or the like while referring to the operation proposal information generated by the driving support device 20.

FIG. 2 is an example of a functional block diagram of the driving support device in the first embodiment of the present invention.
As shown in FIG. 2, the driving support device 20 includes an input reception unit 200, a history information acquisition unit 204, an operation proposal rule generation unit 205, a driving state information acquisition unit 206, a comparison information generation unit 207, The operation state comparison determination unit 208, the operation proposal information output unit 209, the operation implementation information recording unit 210, the operation implementation status determination unit 211, and the storage unit 212 are provided. The input receiving unit 200 includes a comparison item setting unit 201, an operation proposal rule setting unit 202, and an output mode setting unit 203. The storage unit 212 includes a driving history information DB (database) 213, an operation history information DB (database) 214, an intervention operation history DB (database) 215, an operation suggestion rule DB (database) 216, and an operation execution information DB ( Database) 217.

The input receiving unit 200 receives an input operation performed by the operator on the driving support device 20.
Specifically, the comparison item setting unit 201 of the input reception unit 200 is included in the operation state information for each intervention operation (operation performed by the operator's know-how) performed by a trained operator on the equipment of the plant. Among the state quantities to be provided, the skilled operator accepts the input operation of the monitoring target item which is a mark when performing the intervention operation. For example, the operator of the driving support device 20 sets “flow rate”, “pressure”, and “temperature” of the medium flowing through the “XX valve” as monitoring target items in response to the operation “open the XX valve by 10%”. . The comparison item setting unit 201 receives the setting input operation, records the intervention operation, the plant performing the intervention operation, and the monitoring target item in the storage unit 212 in association with each other. Further, the comparison item setting unit 201 receives the setting of the type of the value of the state quantity for each state quantity that is the monitoring target item. The type of state quantity value is, for example, an average value, an instantaneous value, or a variation amount. The comparison item setting unit 201 records the setting of the type of the received state quantity value in the storage unit 212.

  Since it is not always clear what item a skilled operator monitors to perform an intervention operation, the operator obviously sets an item irrelevant to the operation of opening the XX valve by 10%. You may do it.

  Further, the operation suggestion rule setting unit 202 receives a manual setting operation of the operation suggestion rule. The operation suggestion rule defines a rule to propose a certain operation when the state quantity of which the comparison item setting unit 201 has received the setting has a certain value in the driving state information. As will be described later, the present embodiment has a function of automatically generating operation suggestion rules, but a skilled operator can manually set the operation suggestion rules via the operation suggestion rule setting unit 202. Is.

  Further, the output mode setting unit 203 receives the setting for the output mode of the operation suggestion information. The output mode includes, for example, an output mode in which the target range of the operation proposal information to be output is a single plant, an output mode in which the plant type is classified, or an output mode in which the target range is classified by month or region. In addition, the output mode setting unit 203 receives the setting of the threshold value of the implementation rate for the operation proposal information.

  The history information acquisition unit 204 acquires the operation history information and the driving history information from the communication device 18. The history information acquisition unit 204 records the acquired operation history information in the operation history information DB 214 of the storage unit 212, and records the acquired operation history information in the operation history information DB 213 of the storage unit 212.

  The operation suggestion rule generation unit 205, based on the operation history information recorded in the operation history information DB 214 and the operation history information recorded in the operation history information DB 213, the past intervention history in which the operation state of the device and the intervention operation are associated with each other. Information is generated and recorded in the intervention operation history DB 215. The operation suggestion rule generation unit 205 generates rule information including a condition for performing an intervention operation based on the past intervention history information. The rule information includes information such as the type and amount of operation of the intervention operation, conditions for performing the intervention operation (items to be compared and their thresholds, determination logic). The operation proposal rule generating unit 205 records the generated operation proposal rule in the operation proposal rule DB 216 of the storage unit 212.

The operation state information acquisition unit 206 acquires operation state information indicating the current operation state of the plant from the communication device 18.
The comparison information generation unit 207 extracts the monitoring target item set for each operation from the operating state information, and generates the comparison information for comparison with the condition for performing the intervention operation included in the rule information from the value thereof. .
The driving state comparison determination unit 208 compares the comparison information with the condition for performing the intervention operation included in the rule information. When the comparison information is close to the condition for performing the intervention operation, the driving state comparison determination unit 208 determines to output the operation proposal information corresponding to the condition.

  When the comparison information satisfies the condition included in the rule information, the operation suggestion information output unit 209 outputs the operation suggestion information that suggests the execution of the intervention operation to a display or the like.

The operation execution information recording unit 210 records history information of the intervention operation actually performed with respect to the operation proposal information output by the operation proposal information output unit 209.
The operation implementation status determination unit 211 calculates the implementation rate of the operation with respect to the output of the operation proposal information, and records the calculated implementation rate in the storage unit 212 in association with the operation. Moreover, the operation implementation status determination unit 211 evaluates the implementation status of the operation based on the calculated implementation rate. For example, if the implementation rate of the “intervention operation X1” is lower than a predetermined threshold value, the operation implementation status determination unit 211 determines not to output the operation proposal information of this intervention operation.

  The storage unit 212 stores various information necessary for outputting operation proposal information, such as the driving history information DB 213, the operation history information DB 214, the intervention operation history DB 215, and the operation proposal rule DB 216.

FIG. 3 is an example of operation history information according to the first embodiment of the present invention.
In the plant, a control signal related to control of equipment output from the control device 12 and the DCS 13 and an operation instruction signal input via the operation panel are recorded in the event log. Since the control signal related to the control of the device output from the control device 12 and the DCS 13 is executed by a predetermined logic, which operation is automatically executed in the operation history included in the event log. You can know The history information creation device 15 extracts only the history information of the intervention operation from the information of the event log and records it in the operation history information DB 16. The operation history information of FIG. 3 is history information after extracting only the intervention operation.
As shown in the figure, the operation history information has items of "intervention time", "operation type", and "operation amount". The "intervention time" records the time when the operator performed the intervention operation. The “operation type” records the type of intervention operation performed by the operator. In the "operation amount", the operation amount of the intervention operation performed by the operator is recorded.
The history information acquisition unit 204 acquires the operation history information illustrated in FIG. 3 transmitted by the communication device 18 and records it in the operation history information DB 214 of the storage unit 212.

FIG. 4 is an example of driving history information according to the first embodiment of the present invention.
The sensor 14 and the DCS 13 provided in the plant detect the operating state of the plant equipment and output the value to the history information creating device 15. The history information creation device 15 acquires the driving state detected by the sensor 14 or the DCS 13 at predetermined time intervals and records it in the driving history information DB 17. In the case of many plants, the state quantity may be measured by the sensor 14 or the like at several thousand detection points. In such a case, the history information creation device 15 may record only necessary items in the driving history information DB 17 among the driving state information detected by the sensor 14 or the like. It should be noted that which item is required is set in the history information creating device 15 by an operator who inputs in advance from the input receiving unit 200.
The operation history information illustrated in FIG. 4 has items of “sampling time”, “rotation speed”, “output”, “temperature”, “gas concentration”, and “flow rate”. In the "sampling time", the time when the sensor 14 or the like detects the state quantity of the plant is recorded. In the example of FIG. 4, the state quantity is collected every 10 seconds. Each item of "rotation number", "output", "temperature", "gas concentration", and "flow rate" is an example of operating state information. These items include, for example, turbine rotation speed (“rotation speed”), generated power (“output”), boiler outlet temperature (“temperature”), Nox concentration (“gas concentration”), ammonia flow rate ( The measured value such as “flow rate” is stored.
The history information acquisition unit 204 acquires the driving history information illustrated in FIG. 4 transmitted by the communication device 18 and records it in the driving history information DB 213 of the storage unit 212.

FIG. 5 is an example of past intervention history information according to the first embodiment of the present invention.
The operation suggestion rule generation unit 205 reads the information recorded in the driving history information DB 213 and the operation history information DB 214 and generates the past intervention history information illustrated in FIG. 5. At this time, the operation suggestion rule generation unit 205 calculates comparison information for the driving history information recorded in the driving history information DB 213, and associates it with the history information of the intervention operation recorded in the operation history information DB 214. Specifically, the operation suggestion rule generation unit 205 calculates the comparison information based on the setting of the type of the state quantity value received by the comparison item setting unit 201. For example, the comparison item setting unit 201 receives the following settings from the operator and records the settings in the storage unit 212.

Setting 1. The items to be monitored for "Operation A" are "rotation speed", "output", and "temperature". For the determination of the respective values of these three items, the average value from 1 hour before the operation A is performed is used.
Setting 2. The items to be monitored for "Operation B" are "gas concentration" and "flow rate". For the determination of the respective values of these two items, the instantaneous value immediately before the operation B is performed is used.
Setting 3. The monitoring target item of “operation C” is “temperature”. For the determination of the value of this item, the variation amount of the value from 10 minutes before the operation C is performed is used.

  The operation suggestion rule generation unit 205 reads the condition of “setting 1” from the storage unit 212 and extracts the time at which “operation A” is recorded from the operation history information DB 214. The operation suggestion rule generation unit 205 sets the value of each item of “revolution speed”, “output”, and “temperature” in the driving history information from one hour before the extracted time to the time when “operation A” is performed. It is read from the driving history information DB 213. The operation suggestion rule generation unit 205 calculates the average value of the values sampled over one hour for each of the read three items. The data on the first line in FIG. 5 is the past intervention history information generated by the operation proposal rule generation unit 205 in this way. In other words, for the intervention operation (type: “operation A”, operation amount “10”) performed on “2015/3/4 10:10:10”, the average value of “revolutions” from one hour before is "Aaa" (rpm). Similarly, the average value of the output per hour is “bb.b” (kw), and the average value of the temperature is “cc.c” (° C.). The operation suggestion rule generation unit 205 generates the past intervention history information illustrated in the first line of FIG. 5 by associating the information of the intervention operation with the comparison information calculated from the driving history information.

  Similarly, the operation suggestion rule generation unit 205 reads the condition of “setting 2” from the storage unit 212 and extracts the time when “operation B” is recorded from the operation history information DB 214. Next, the operation suggestion rule generation unit 205 reads the values of the items “gas concentration” and “flow rate” from the operation history information DB 213 in the operation history information (“instantaneous value”) sampled immediately before the extracted time. . The operation suggestion rule generation unit 205 associates the information (type: “operation B”, the operation amount “−2”) of the intervention operation with the comparison information to obtain the past intervention history information illustrated in the second line of FIG. To generate.

  Similarly, the operation suggestion rule generation unit 205 reads the condition of “setting 3” from the storage unit 212 and extracts the time at which “operation C” is recorded from the operation history information DB 214. The operation suggestion rule generation unit 205 reads the value of “temperature” of the operation history information from 10 minutes before the extracted time to the time when the “operation C” is performed, from the operation history information DB 213. The operation suggestion rule generation unit 205 calculates the behavior of the read value for 10 minutes. For example, when the temperature value gradually increases during 10 minutes and the difference between the temperature value obtained 10 minutes before and the temperature value obtained immediately before the operation C is “ff” (° C.), the operation history information DB 214. Calculates the fluctuation amount “f.f”. The operation suggestion rule generation unit 205 associates the information of the intervention operation (type: “operation C”, operation amount “1”) with the comparison information calculated from the driving history information, and exemplifies it in the third line of FIG. 5. Generate past intervention history information.

  In this way, the operation suggestion rule generation unit 205 generates the past intervention history information by associating the comparison information calculated from the value of the monitoring target item that is a condition for performing the intervention operation with the history of the intervention operation. The operation suggestion rule generation unit 205 records the generated past intervention history information in the intervention operation history DB 215. The setting of the monitoring target item and the type of the value of the monitoring target item is determined by, for example, hearing from a trained operator. It should be noted that there is a possibility that even a skilled operator may not be aware of the monitoring target items, so all state quantities may be set as monitoring target items, except for items that are clearly unrelated to the intervention operation. Note that, regarding the method of calculating the comparison information, the “average value”, the “instantaneous value”, and the “variation amount” are examples and are not limited thereto. For example, it may be the number of times a predetermined value or more is reached in a predetermined period. Further, for example, in the above example of the operation A, different kinds of values may be set for each monitoring item such that an average value for one hour is used for the rotation speed and a variation value is used for the output.

  Next, based on the past intervention history information generated in this way, the operation suggestion rule generation unit 205 performs the intervention operation when which monitoring target item in the plant operation state information has what value. Whether or not it is calculated is calculated by a statistical method, machine learning, or the like.

FIG. 6 is a first diagram showing an example of the operation suggestion rule in the first embodiment of the present invention.
FIG. 6 is a predictive model of an intervention operation generated by the operation suggestion rule generation unit 205 using a machine learning method called a decision tree using the past intervention history information illustrated in FIG. In a refuse incineration plant, a method of injecting ammonia into the exhaust gas may be used in order to remove Nox contained in the exhaust gas generated by incinerating the waste. FIG. 6 is an example of a decision tree formalizing the know-how for adjusting the opening of the valve that controls the ammonia flow rate for removing Nox.

  For example, when the Nox concentration is “g1” (ppm) or more, the valve opening is adjusted to increase the ammonia flow rate, and conversely, when the Nox concentration is less than “g1” (ppm), the ammonia flow rate is decreased. It is assumed that automatic control is performed to adjust the valve opening. However, the Nox concentration increases or decreases depending on changes in the input amount of waste, the type of waste, the amount of air flowing into the waste incinerator, the season, the temperature, etc. If the ammonia flow rate is not adjusted more finely, for example, it will be imposed on the plant. It is not possible to meet the regulated amount of Nox concentration. On the other hand, conventionally, a skilled operator performed an intervention operation to control the Nox concentration. The operation suggestion rule generation unit 205 reads out past intervention history information in which the intervention operation of the operator is recorded from the intervention operation history DB 215 and determines a rule for performing the intervention operation by machine learning or the like. FIG. 6 is an example of a rule determined by the intervention operation history DB 215. According to the decision tree of FIG. 6 generated by the operation suggestion rule generation unit 205, the skilled operator performs “operation G1” when the Nox concentration is “g2” or less, and “when the Nox concentration is greater than“ g3 ”. When the operation G2 is performed and the Nox concentration is higher than "g2" and equal to or lower than "g3", it is understood that "operation G2" or "operation G3" is performed. In the figure, d2 is larger than d1, but this indicates the number of times the intervention operation is performed. That is, the intervention operation recorded in the intervention operation history DB 215 is executed when the Nox concentration is higher than “g2” and equal to or lower than “g3” than the intervention operation performed when the Nox concentration is higher than “g3”. Many of the intervention operations that have been performed are recorded. Further, in the case where the Nox concentration is higher than “g2” and equal to or lower than “g3”, the area occupied by “operation G2” and the area occupied by “operation G3” are larger in the area of “operation G3”. The intervention operation history DB 215 indicates that more “operation G3” is recorded as the intervention operation under the same condition. As described above, according to the decision tree illustrated in FIG. 6, it is possible to know what kind of intervention operation is performed and what kind of condition the driving state is.

Next, a case where the Nox concentration is less than “g1” (ppm) will be described. When the Nox concentration is less than "g1" (ppm) and the ammonia flow rate is "g4" (ml) or less, it is understood that "operation G4" was performed. On the other hand, when the ammonia flow rate is larger than “g4” (ml), “Operation G5” is performed when the Nox concentration is larger than “g5” (ppm), and when the Nox concentration is “g5” (ppm) or less, “Operation G4”. You can see that I was doing.
In the decision tree illustrated in FIG. 6, conditions for reproducing the intervention operation for removing the Nox concentration with respect to the Nox concentration and the ammonia flow rate as the monitoring target items are ruled. By using the decision tree in this way, it is possible to automatically calculate the monitoring target item and its value necessary for the determination of the intervention operation, which cannot be grasped accurately even by a skilled operator.

FIG. 7 is a second diagram showing an example of the operation suggestion rule in the first embodiment of the present invention.
A soot blower is used in a thermal power plant to remove soot generated when coal is burned. Soot that adheres to boilers varies depending on the type and amount of coal. Moreover, even if the same kind of coal is used, there is a difference in the individual so that the generation of soot varies. If soot adheres, the thermal efficiency of the boiler will decrease, affecting the power generation efficiency of the plant. Therefore, a skilled operator operates the suit blower with know-how to properly manage the soot adhesion state. Specifically, the operation pattern of the suit blower is defined in advance as the operation of pattern 1 to pattern 5, and a skilled operator selects the pattern 1 to pattern 5 according to the situation to operate the suit blower. ing. FIG. 7 is a decision tree for determining the operation pattern of the suit blower, which is generated by the operation suggestion rule generation unit 205 using the past intervention history information when a skilled operator drives the suit blower (intervention operation). .

  For example, when the outlet steam temperature of the heater α (for example, the average value per hour) is larger than “h1” (° C.), the skilled operator selects “Pattern 1” at a rate of 60% and selects the suit blower. Is driving. When the past intervention history information is analyzed in more detail in this case, the outlet steam temperature of the heater α is higher than “h1” (° C.), and the steam temperature of the boiler γ (for example, an average value per hour) is “h3”. It is understood that “Pattern 5” is selected with a probability of 93% when it is larger than “(° C.)”. On the other hand, when the steam temperature of the boiler γ is “h3” (° C.) or less, “Pattern 1” is selected at a rate of 66%, and other than that, “Pattern 2” is at a rate of 19% at a rate of 11%. It can be seen that “pattern 4” is selected in proportion.

  On the other hand, when the outlet steam temperature of the heater α is equal to or lower than “h1” (° C.), the skilled operator has “pattern 3” (19%), “pattern 4” (20%), and “pattern 5” (56%). ) Is selected. When the past intervention history information is analyzed in more detail, the outlet steam temperature of the heater α is equal to or lower than “h1” (° C.), and the heat exchanger β inlet feed water temperature (for example, an average value per hour) is “h2” ( If it is larger than (° C.), “Pattern 3” (21%), “Pattern 4” (14%), and “Pattern 5” (64%) are selected in large numbers. On the other hand, when the heat exchanger β inlet feed water temperature is “h2” (° C.) or lower, “Pattern 4” is selected.

Also in the case of controlling the suit blower, the operation suggestion rule generation unit 205 performs the intervention operation when what state quantity (monitored item) of the thermal power plant has become what value by the past intervention history information. Generates Taka rule information. As a result, a skilled operator can formalize from what point of view the operating pattern of the suit blower is determined and the soot adhesion state is managed. The operation suggestion rule generation unit 205 records the output rule information of the generated operation suggestion information in the operation suggestion rule DB 216.
Next, a method of sharing the formalized know-how with other operators will be described.

FIG. 8 is a diagram showing a display example of operation suggestion information in the first embodiment of the present invention.
FIG. 8A is an example of the operation proposal information displayed to the operator of the plant A based on the rule generated based on the past intervention history information of the plant A. While the operation proposal rule generation unit 205 generates a rule that proposes an operation state, the operation state information acquisition unit 206 acquires the current operation state information of the plant A from the communication device 18A. Further, the comparison information generation unit 207 calculates the comparison information from the acquired operating state information. Specifically, based on the above “setting 1”, the comparison information generation unit 207 calculates the hourly average of “revolutions”, “outputs”, and “temperatures” every time the operating state information is acquired. , In the storage unit 212. Similarly, the comparison information generation unit 207 records the “gas concentration” and the “flow rate” of the acquired operation state information as they are (instantaneous value) in the storage unit 212 based on the above “setting 2”. Further, the comparison information generation unit 207 calculates the variation amount of “temperature” in the acquired operating state information for 10 minutes based on the above “setting 3” and records the variation amount in the storage unit 212. That is, when the contents of “setting 1” to “setting 3” are set, the storage unit 212 stores in the storage unit 212 an hourly average of “revolutions”, “output” and “temperature”, “gas concentration” and “flow rate”. The instantaneous value of “” and the amount of fluctuation of “temperature” for 10 minutes are recorded, and each value is updated by the comparison information generation unit 207 each time the current operating state information is operated from the communication device 18A.

  Next, the driving state comparison determination unit 208 determines whether the comparison information calculated by the comparison information generation unit 207 satisfies the condition of outputting the operation proposal information based on the rule information generated by the operation proposal rule generation unit 205. To determine. For example, when the rule of FIG. 6 is generated and the value of the Nox concentration (comparison information) calculated by the comparison information generation unit 207 is larger than “g3” (ppm), the operation state comparison determination unit 208 , Decide to propose operation G2. The operation suggestion information output unit 209 displays the content of the operation G2 (for example, “Open the XX valve so that the ammonia flow rate is +3 (ml / s)”) on the display connected to the driving support device 20. FIG. 8A is an example of the operation suggestion information displayed on the display at this time. As described above, according to the present embodiment, it is possible to display the type of intervention operation and the operation amount. Therefore, even an inexperienced operator can refer to this display and perform the same intervention operation as an experienced operator. An inexperienced operator performs an intervention operation via the operation panel 11 or the control device 12 based on the operation proposal information.

FIG. 8B is an example of the operation suggestion information determined and displayed by the rule generated based on the past intervention history information of the plant A, and the rules generated by the plant B and the plant C of the same type.
Even in the same type of plant, the intervention operation that becomes know-how varies depending on the environment of the installation location and the individual difference of the equipment installed in the plant. Therefore, basically, in the driving support device 20 operated by the operator of the plant A, the operation proposal information may be displayed according to the rule generated based on the past intervention history information of the plant A. However, when the operation of the plant A has just started and the past intervention history information is not accumulated, the intervention operation performed in another plant of the same type may be useful. In such a case, the operator makes a setting of “display operation suggestion information of another plant of the same type” via the output mode setting unit 203. Then, the comparison information generation unit 207 compares the current operation state information acquired from the communication device 18A with the comparison information according to the setting of the comparison information input for other plants of the same type (plant B and plant C). To generate. Further, the operating state comparison / determination unit 208, based on the comparison information for each operation generated by the comparison information generation unit 207 and the rule corresponding thereto, the operation proposal information for the plant B and the operation proposal for the plant C. Determine the output of information. For example, when the state quantity acquired from the plant A satisfies the operation suggestion information rule for the plant B and the operation suggestion information rule for the plant C, the operation suggestion information output unit 209 sets the operation suggestion information output unit 209 as illustrated in FIG. , The operation proposal information for the plant B and the operation proposal information for the plant C are output. As a result, even immediately after the plant A starts operating, the plant can be operated with reference to the intervention operation performed in the plant of the same type.

FIG. 9 is a diagram showing an example of the operation execution record information in the first embodiment of the present invention.
When the operation proposal information output unit 209 outputs the operation proposal information, the operation execution information recording unit 210 records the output operation proposal information in the operation execution information DB 217 in association with the output time. Further, the operation execution information recording unit 210 reads out the information of the intervention operation performed within a predetermined time from the time when the operation proposal information is output from the operation history information DB 214, and associates the operation execution information with the corresponding operation proposal information. Record in DB217. FIG. 9 is an example of the operation execution record information recorded in the operation execution information DB 217. For example, in the case of the operation execution record information illustrated in FIG. 9, looking at the first line, the operation suggestion information “operation G2” is output at 10:10 on March 4, 2015. However, it indicates that no intervention operation was performed on the output of this proposal information. Next, looking at the second and third lines, the operation suggestion information "operation G2" is output at 10:20 on the same day, and "operation G3" different from the operation suggested at 10:23 three minutes later. Is being done. Further, looking at the 4th and 5th lines, the operation suggestion information "operation G2" is output at 18:10 on the same day, and the same operation "operation G2" as the operation suggested at 18:15, 5 minutes later, is output. Is being done. The operation execution information recording unit 210 records the output of the operation proposal information and the execution history of the intervention operation performed on the operation proposal information as described above.

FIG. 10 is a diagram showing an example of implementation status information of an intervention operation in the first embodiment of the present invention.
The operation implementation status determination unit 211 reads the record of the operation implementation history information illustrated in FIG. 9 and calculates the implementation status of the intervention operation for each predetermined period. The implementation status is the ratio (implementation rate) of actually performing the operation to the output of the operation suggestion information of a certain operation, and no intervention operation was performed on the output of the operation suggestion information of a certain operation. A ratio, a ratio of performing an intervention operation different from the operation proposal information with respect to the output of the operation proposal information of a certain operation, and the like. FIG. 10 shows the result of the operation implementation status determination unit 211 calculating these implementation statuses based on the operation implementation history information.

The operation implementation status determination unit 211 controls the output of the operation proposal information based on the implementation status. For example, it is assumed that the operator makes a setting, via the output mode setting unit 203, that operation proposal information with an implementation rate of less than 30% is not output. In this case, even when the driving state comparison determination unit 208 determines to output the operation proposal information (“operation G1”) based on the rule recorded in the operation proposal rule DB 216, the operation implementation status determination unit 211 determines that Since the implementation rate is less than 30%, it is determined that the operation proposal information is not output.
Even an intervention operation by a skilled operator is not always correct. There is also an intervention operation that happens to be performed under certain circumstances, or that is not performed gradually due to changes in the environment or updating of the equipment that constitutes the plant, which was often done before. In such a case, it is troublesome to display the operation proposal information that has not been carried out forever, which may cause an erroneous operation. In such a case, for example, for the intervention operation having a low implementation rate, the operation suggestion information is set not to be output.

  Note that a skilled operator or the like may improve the operation suggestion rule based on the implementation status calculated by the operation implementation status determination unit 211. At that time, the evaluation may be weighted according to the operator. For example, when a skilled operator does not follow the operation suggestion information and does not perform any operation or performs a different operation, the judgment is respected and the review of the operation suggestion rule has a certain influence. On the other hand, when an inexperienced operator performs such an operation, it is possible that the operator may simply overlook it or make an operation error. In this case, there is little influence on the review of the operation suggestion rule. The reviewed operation suggestion rule can be manually input via the operation suggestion rule setting unit 202.

Next, the flow of the process of generating the output rule of the operation suggestion information according to this embodiment will be described with reference to FIG. 11.
FIG. 11 is a first processing flow of the driving support system in the first embodiment of the present invention.
First, in each plant, the history information creation device 15 acquires information (operation type and operation amount) of the operation performed on the equipment by the operation panel 11, the control device 12, and the DCS 13, and records it in the operation history information DB 16. (Step S11). At this time, the history information creation device 15 removes the operation information performed by the automatic control and extracts and records only the intervention operation by the operator. In parallel with this, the history information creation device 15 acquires information on the operating state of the plant from the DCS 13 and the sensor 14 and records it in the operating history information DB 17 (step S12). Since the amount of information from the sensor 14 and the like is enormous, the history information creation device 15 records the information except for the driving state that is obviously unnecessary for the operation proposal. The history information creation device 15 transmits the saved information to the driving support device 20 via the communication device 18, for example, once a day. In the driving support device 20, the history information acquisition unit 204 acquires the driving history information and the operation history information, records the driving history information in the driving history information DB 213, and records the operation history information in the operation history information DB 214.

Next, the operator sets and inputs the monitoring target item and the type of the value of the monitoring target item for each plant and each operation through the comparison item setting unit 201. For example, the operator inputs information such as the above “setting 1” to “setting 3” to the driving support device 20. The comparison item setting unit 201 records these pieces of information in the storage unit 212 (step S13).
Next, the operation proposal rule generation unit 205 generates an operation proposal rule (step S14). For example, when generating the operation suggestion rule for the above-mentioned “installation 1” (that is, “operation A”), the operation suggestion rule generation unit 205 first extracts the time when the “operation A” is performed from the operation history information DB 214. To do. Next, the operation suggestion rule generation unit 205 operates the information of “revolution speed”, “output”, and “temperature” in the operation history information recorded from one hour before the extracted time to the extracted time. It is read from the history information DB 213 and an hourly average is calculated. Next, the operation suggestion rule generation unit 205 generates the past intervention history information illustrated in FIG. 5 by associating the calculated one-hour average value with “operation A”. Next, the operation suggestion rule generation unit 205 analyzes what value the average value of “rotation speed”, “output”, and “temperature” is, using the past intervention history information, to perform “operation A”. To do. For this analysis, a machine learning method such as a decision tree can be used. The operation suggestion rule generation unit 205 generates a suggestion information rule proposing “operation A” by this analysis. Next, the operation suggestion rule generation unit 205 records the information of the generated operation proposal rule in the operation proposal rule DB 216 (step S15).

  Here, a skilled operator may manually input the operation suggestion rule via the operation suggestion rule setting unit 202. This is effective when the operation of the plant has just started, or when the operating conditions have changed significantly and the existing operation proposal rules cannot be used. The operation proposal rule setting unit 202 records the information of the input operation proposal rule in the operation proposal rule DB 216.

  Next, the operator sets the output mode via the output mode setting unit 203. The output mode setting includes setting items such as “output range setting”, “implementation rate setting”, and “operation proposal rule deletion setting”. The “output range setting” is an item for setting the application range of the operation proposal rule. The "output range setting" includes, for example, "plant alone" which uses only the operation suggestion rule generated from the history of the intervention operation performed in the operation target plant, and the operation suggestion rule generated from the history information of the same type plant. "Provided by type," which also outputs the suggested operation information based on the operation type, "Monthly", which outputs the suggested operation based on the operation suggestion rule generated from the history of the intervention operation recorded in the operation target month, existing in the same area For example, there is “by region” that also outputs the proposed operation based on the operation proposal rule generated from the history information of the plant. The operator selects one or more from these output ranges. “Setting the implementation rate” means setting the threshold value of the implementation rate for determining whether or not to output the operation proposal information as described with reference to FIG. The operator adjusts the operation suggestion information displayed by setting the threshold value of the implementation rate such as “30%” or “50%”. The “operation suggestion rule deletion setting” is a setting that does not output operation suggestion information of an intervention operation that is unlikely to be performed due to, for example, a change in the plant operation method. The output mode setting unit 203 records the output mode setting information input by the operator in the storage unit 212 in association with the plant (step S16).

Next, the flow of the operation proposal information output processing based on the operation proposal information output rule according to the present embodiment will be described with reference to FIG.
FIG. 12 is a second processing flow of the driving support system in the first embodiment of the present invention.
First, the operation state information acquisition unit 206 acquires the current operation state information of the plant from the communication device 18 (step S21). The driving state information acquisition unit 206 outputs the acquired current driving state information to the comparison information generation unit 207. The comparison information generating unit 207 acquires the monitoring target item and the setting of the type of the value of the monitoring target item for each plant and each operation from the storage unit 212 (step S22). At this time, if "by model" is selected in the setting of the output mode (step S16), the comparison information generating unit 207 sets the comparison information recorded in association with another plant of the same type ( It also reads the monitoring target item and the value type setting of the monitoring target item. The comparison information generation unit 207 calculates the comparison information from the current operating state information based on the read setting of the comparison information. For example, the comparison information generation unit 207 calculates an average value or variation per hour for the item “temperature”. When the comparison information generation unit 207 calculates the comparison information from the current driving state information for comparison with the operation suggestion rule, the comparison information generation unit 207 instructs the driving state comparison determination unit 208 to compare those values with the operation suggestion rule. To do. The driving state comparison determination unit 208 reads the rule information from the operation proposal rule DB 216 for each intervention operation, and determines whether the comparison value generated by the comparison information generation unit 207 satisfies the rule (step S23). At this time, if "by model" is selected in the setting of the output mode (step S17), the operation state comparison / determination unit 208 determines that the operation suggestion rule and the comparison value recorded in association with another plant of the same type. It is also determined whether or not the operation proposal rule of another plant of the same type is satisfied.

  When the corresponding rule does not exist (step S24; No), the process of step S21 is repeated. When the applicable rule exists (step S24; Yes), the driving state comparison determination unit 208 instructs to determine the implementation rate of the proposed operation proposed by the applicable rule. The operation implementation status determination unit 211 refers to the implementation rate information (FIG. 10) for each operation recorded in the storage unit 212 and reads the implementation rate of the operation. In addition, the operation implementation status determination unit 211 reads out the threshold value of the implementation rate set in the output mode setting (step S16) from the storage unit 212 and compares it with the implementation rate of the operation. When the implementation rate of the operation is lower than the threshold value of the implementation rate (step S25; No), the processing from step S21 is repeated. When the implementation rate of the operation is higher than the threshold of the implementation rate (step S25; Yes), the operation implementation status determination unit 211 determines to display the operation suggestion information of the operation and outputs the operation suggestion information output unit 209. Instruct. The operation proposal information output unit 209 displays the proposed operation information on the display as illustrated in FIG. 8 (step S26). When the operation proposal information output unit 209 outputs the operation proposal information, the operation execution information recording unit 210 records the output operation proposal information in the operation execution information DB 217 in association with the output time. Next, the operation execution information recording unit 210 records whether or not an operation is performed on the operation proposal information (step S27). Specifically, when the history information acquisition unit 204 acquires the operation history information from the target plant and records it in the operation history DB 215, the operation execution information recording unit 210 determines a predetermined time from the time when the operation proposal information is output from the operation history information DB 214. The information of the intervention operation performed within the time is read out and recorded in the operation execution information DB 217 in association with the corresponding operation proposal information (FIG. 9). Also, the operation implementation status determination unit 211 calculates the implementation status of the intervention operation in preparation for future output of the operation proposal information, and records the calculated result in the storage unit 212 (FIG. 10).

  According to the present embodiment, regarding the intervention operation performed by a skilled operator, the regularity of performing the operation is analyzed based on the history of the operating state of the plant of the operator in the past and the operation history. Also, since the operating status of the plant is monitored and the operator is instructed to perform the intervention operation performed by a skilled operator when the plant is in a similar operating status, even an inexperienced operator can perform the same operation as a skilled operator. The plant can be operated stably.

  In the above, the embodiment in which the operation suggestion information is displayed in order to assist the driving of an inexperienced operator has been described. In addition to this, for example, when the implementation rate becomes a high value such as 99%, instead of displaying the operation suggestion information, the driving support device 20 outputs a control signal for instructing the control system (not shown) to perform the intervention operation. However, an embodiment is conceivable in which the control system acquires the control signal and automatically performs the intervention operation.

  The process of each process in the driving support system described above is stored in a computer-readable recording medium in the form of a program, and the above process is performed by the computer of the driving support system reading and executing this program. Be seen. Here, the computer-readable recording medium refers to a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like. Further, the computer program may be distributed to the computer via a communication line, and the computer that receives the distribution may execute the program.

Further, the program may be for realizing a part of the functions described above. Further, it may be a so-called difference file (difference program) that can realize the above-mentioned functions in combination with a program already recorded in the computer system.
Further, the driving support system may be composed of one computer, or may be composed of a plurality of computers communicably connected.

  In addition, it is possible to appropriately replace the components in the above-described embodiments with known components without departing from the spirit of the present invention. Further, the technical scope of the present invention is not limited to the above embodiment, and various modifications can be made without departing from the spirit of the present invention. The operation proposal information output unit 209 is an example of an operation instruction information output unit. The operation suggestion information is an example of operation instruction information.

1 ... Driving support system 10 ... Plant 11 ... Operation panel 12 ... Control device 13 ... DCS
14 ... Sensor 15 ... History information creating device 16 ... Operation history information DB
17 ... Driving history information DB
18 ... Communication device 20 ... Driving support device 200 ... Input acceptance unit 201 ... Comparison item setting unit 202 ... Operation suggestion rule setting unit 203 ... Output mode setting unit 204 ... History information acquisition unit 205 ... Operation proposal rule generation unit 206 ... Driving state information acquisition unit 207 ... Comparison information generation unit 208 ... Driving state comparison determination unit 209 ... Operation proposal information output unit 210・ ・ ・ Operation implementation information recording unit 211 ・ ・ ・ Operation implementation status determination unit 212 ・ ・ ・ Storage unit 213 ・ ・ ・ Driving history information DB
214 ... Operation history information DB
215 ... Intervention operation history DB
216 ... Operation suggestion rule DB
217 ... Operation execution information DB

Claims (11)

Corresponding operation status of the device and the intervention operation based on operation history information indicating the operation status history of the device operating in the plant and operation history information indicating the history of performing the intervention operation on the device An operation suggestion rule generation unit that generates attached past intervention history information, and generates rule information including a condition for performing the intervention operation based on the past intervention history information;
Acquiring operating state information indicating the operating state of the device, based on the acquired operating state information and the rule information, the operating state comparison and determination unit that determines the intervention operation corresponding to the operating state information,
An operation instruction information output unit that outputs operation proposal information that guides the implementation of the intervention operation determined by the driving state comparison determination unit,
An operation execution information recording unit for recording operation information executed for the operation suggestion information output by the operation instruction information output unit,
Based on the operation information recorded by the operation execution information recording unit, with respect to the output of the operation proposal information, an execution status determination unit that calculates an execution rate of the intervention operation guided by the operation proposal information,
Equipped with
Each time the operation status determination unit outputs the operation suggestion information, the ratio of the intervention operation guided by the operation suggestion information to the output of the operation suggestion information so far, and The rate of not performing the intervention operation and the rate of performing an operation different from the intervention operation are calculated, the calculated result is recorded in the storage unit, and the rate at which the intervention operation is performed is set as the implementation rate. If the implementation rate is equal to or more than a predetermined threshold value, the operation instruction information output unit is instructed to output the operation proposal information,
The operation instruction information output unit does not output the operation suggestion information if the implementation rate calculated by the implementation status determination unit is lower than a predetermined threshold value, and outputs the operation suggestion information if the implementation rate is equal to or higher than the threshold value. Output,
Driving support system. An operation suggestion rule setting unit that receives the setting of the rule information reviewed based on the operation information recorded by the operation execution information recording unit,
The driving support system according to claim 1, further comprising: The operation suggestion rule setting unit, when a skilled operator does not follow the operation suggestion information, is reviewed with a greater weight than when an inexperienced operator does not follow the operation suggestion information. Accept rule information settings,
The driving support system according to claim 2 . A comparison item setting unit that receives the setting of the state amount included in the driving state information used by the operating state comparison determination unit for determining the intervention operation, and the setting of the type of the value of the state amount,
The driving assistance system according to any one of claims 1 to 3 , further comprising: An output mode setting unit that receives a selection of an output mode of the operation suggestion information,
Further equipped with,
The operation instruction information output unit outputs operation suggestion information related to the intervention operation performed in another plant of the same model, based on the output mode setting accepted by the output mode setting unit. The driving support system according to any one of 4 above. The driving support system according to any one of claims 1 to 5 , wherein the operation suggestion information includes a type of operation and an operation amount of the device. The operation suggestion rule generation unit generates rule information including a condition for performing the intervention operation by learning the past intervention history information by at least one of a statistical method and a machine learning method,
The driving support system according to any one of claims 1 to 6 . The operation suggestion rule generation unit extracts, from the driving history information, a monitoring target item used for determining whether to perform the intervention operation in a past predetermined period based on the time when the intervention operation is performed, Comparing the comparison information indicating the behavior of the monitoring target item during the period, generating the past intervention history information by associating the comparison information with the execution of the intervention operation, and using the decision tree to perform the comparison. When the intervention information is performed when the usage information has a value, the rule information is generated,
The driving support system according to any one of claims 1 to 7 . The operation instruction information output unit outputs a control signal for instructing execution of the intervention operation determined by the driving state comparison determination unit,
The driving support system according to claim 1. Corresponding operation status of the device and the intervention operation based on operation history information indicating the operation status history of the device operating in the plant and operation history information indicating the history of performing the intervention operation on the device Generating attached past intervention history information, and generating rule information including conditions for performing the intervention operation based on the past intervention history information,
Obtaining operating state information indicating the operating state of the device, based on the operating state information and the rule information, determining the intervention operation corresponding to the operating state information,
Outputting operation suggestion information for guiding execution of the determined intervention operation;
Recording operation information performed on the output operation suggestion information,
Whenever the operation suggestion information is output, based on the recorded operation information, the ratio of the intervention operation guided by the operation suggestion information to the output of the operation suggestion information so far. And a step of calculating a ratio of not performing the intervention operation and a ratio of performing an operation different from the intervention operation, and recording the calculated result in a storage unit,
A step of instructing the operation instruction information output unit to output the operation suggestion information if the execution rate is a rate at which the intervention operation is performed and the execution rate is equal to or more than a predetermined threshold value,
If the calculated implementation rate is lower than a predetermined threshold, the operation suggestion information is not output, and if the implementation rate is equal to or higher than the threshold, outputting the operation suggestion information,
Driving assistance method having a. Computer of plant control device,
Corresponding operation status of the device and the intervention operation based on operation history information indicating the operation status history of the device operating in the plant and operation history information indicating the history of performing the intervention operation on the device Means for generating attached past intervention history information, and generating rule information including conditions for performing the intervention operation based on the past intervention history information,
Acquiring operating state information indicating an operating state of the device, based on the acquired operating state information and the rule information, means for determining the intervention operation corresponding to the operating state information,
Means for outputting operation suggestion information for guiding the execution of the determined intervention operation,
Means for recording the operation information performed on the output operation suggestion information,
Whenever the operation suggestion information is output, based on the recorded operation information, the ratio of the intervention operation guided by the operation suggestion information to the output of the operation suggestion information so far. And means for calculating a ratio of not performing the intervention operation and a ratio of performing an operation different from the intervention operation, and recording the calculated result in a storage unit,
Means for instructing the operation instruction information output unit to output the operation suggestion information when the intervention rate is the implementation rate and the implementation rate is equal to or greater than a predetermined threshold.
If the calculated implementation rate is lower than a predetermined threshold value, the operation suggestion information is not output, and if the implementation rate is equal to or higher than the threshold value, means for outputting the operation suggestion information,
Program to function as.

Images