JP6129767B2 - Driving support system, control method therefor, and control program therefor - Google Patents

Description

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

Conventionally, in order to manage the operating states of a plurality of power plants, a mechanism for centrally managing data collected in each power plant and sharing information has been proposed.
The following Patent Document 1 discloses a data management system in which data collected at each power plant is aggregated into a customer management station device, and an operator at each plant site can view the data with a browser or the like as necessary. Proposed.

JP 2003-150238 A

  By the way, in the trial operation adjustment work in the thermal power plant, the required plant performance is not caused during the limited trial operation period, or even if a non-conformity occurs, it can be dealt with promptly to minimize damage, It needs to be adjusted. In a trial operation of a thermal power plant, individual auxiliary equipment is adjusted first, and then the overall adjustment is performed. This requires the know-how and operation skills of experienced operators with a lot of ability and experience.

  When test operations of multiple thermal power plants are congested, veteran operators cannot respond to all test operation adjustments, and commissioning adjustments to inexperienced and foreign nationals must be entrusted. However, inexperienced commissioning coordinators or foreign national coordinators are difficult to respond quickly because it takes a lot of time and effort to obtain appropriate countermeasures, and in some cases can lead to equipment damage. There was a risk of causing this.

  The present invention has been made in view of such circumstances, and an operation support system that can safely perform trial operation adjustment of a power plant even if it is an inexperienced trial operation coordinator or a foreign national coordinator. And a control method thereof and a control program thereof.

In order to solve the above problems, the present invention employs the following means.
The present invention, Ri information der about commissioning of the power plant, a driving support system that shares commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level that is the reliability of the operator is the highest. When the skill level operator who is the operator to which the user rank level is set records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. Storage means for associating and storing a first point indicating the weight of importance of the trial operation information to be given to the operator; The presenting means for presenting the test operation information according to the user rank level of the operator, the test operation data acquired by the test operation of the power plant, and the test operation information of the storage means, When it is determined that non-conformance has occurred, a driving support system is provided that includes order adjustment means that sequentially presents the trial operation information related to the non-conformance in descending order of the number of the first points.

  According to the present invention, the user rank level corresponding to the skill level including the capability and experience level of the operator and the security level which is the reliability of the operator is set for the operator of the power plant, and the highest user rank The test run information recorded by the skill level operator who is the level operator is stored in association with the user rank level and the first point indicating the importance of the test drive information. When it is determined that the test operation information according to the operator's user rank level is presented to the operator and the test operation data acquired by the test operation of the power plant is compared with the test operation information, a nonconformity has occurred. It is made to show in order from the trial run information relevant to nonconformity with the large number of 1st points.

  In this way, when it is determined that a non-conformity has occurred in the trial operation, the search is performed including the trial operation information input from other power plants stored in the storage means. In the case of non-conformance that has not occurred in the past, if there is trial operation information recorded as non-conformity of another power plant, the trial operation information is presented. As a result, even if the operator's user rank level is lower than that of the skill level operator, it is possible to take the same action as the skill level operator takes promptly when a non-conformity occurs, and this may cause a problem that may occur in the future at the power plant. It becomes possible to cope in advance.

In addition, when presented to the presentation means, the first point is given to the trial operation information that the skill level operator has determined to be important. Even when there is a lot of trial operation information related to, the operator can confirm the trial operation information in descending order of importance.
The security level, which is the reliability of the operator, is, for example, the engineer who becomes the skill level operator has the highest security level, the engineer (coordinator) who has less experience than the skill level operator, and the next Levels can be divided like technical personnel (coordinators) who are less experienced than skill level operators and who are foreign national operators of the consignee. The reliability is trust in security (safety).

The present invention, Ri information der about commissioning of the power plant, a driving support system that shares commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level that is the reliability of the operator is the highest. The skill level operator who is the operator to which the user rank level is set is stored in association with the trial operation information including information on non-conformance in the past trial operation recorded based on the trial operation of the plurality of power plants. And a keyword relating to the non-conformance input by the operator when non-conformance occurs in the trial operation. When detected, the test run information of the storage means is subjected to text mining processing, and a second point indicating a degree of association is calculated based on the keyword and the recall frequency of the other keyword recalled from the keyword. Knowledge to calculate a third point indicating the degree of association between the keywords based on the second point and the operating state of the power plant, and to build a knowledge database based on the third point and the trial operation information Input by the operator based on database generation means, the user rank level of the operator, and the knowledge database in which the degree of relevance of the keyword is indicated by the third point. A driving support system comprising: presenting means for presenting the test driving information related to the nonconformity; To.

  According to the present invention, the user rank level corresponding to the skill level including the capability and experience level of the operator and the security level which is the reliability of the operator is set for the operator of the power plant, and the highest user rank The trial operation information including information on the nonconformity in the trial operation recorded by the skill level operator who is the level operator is stored in association with the user rank level. When a test operation non-conformity occurs and a keyword related to a malfunction is input by the operator, including the test operation information input from other power plants stored in the storage means, the keyword and other keywords recalled from the keyword The degree of association with the keyword (second point) is obtained, and the degree of association is recalculated based on the degree of association and the operating status of the power plant (third point), taking into account the operating status of the power plant A knowledge database of trial operation information is constructed based on the degree of association, and trial operation information regarding nonconformity is presented based on the knowledge database and the user rank level of the operator.

In this way, an operator who has a user rank level lower than that of a skill level operator is presented by analyzing the cause of the nonconformity and an appropriate countermeasure for the nonconformity based on the knowledge of the skill level operator. However, when a non-conformance occurs, the same action as the action taken by the skill level operator can be performed quickly, and problems that may occur in the future in the power plant can be dealt with in advance.
Further, since the relevance between the input keyword and another keyword recalled from the keyword is determined by the text mining process, the time until the coping method is presented to the driver can be shortened.

The present invention, Ri information der about commissioning of the power plant, a trial operation support apparatus to share commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level that is the reliability of the operator is the highest. When the skill level operator who is the operator to which the user rank level is set records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. Storage means for associating and storing a first point indicating the weight of importance of the trial operation information to be assigned; When a keyword relating to the nonconformity input by the operator is detected, a text mining process is performed on the test operation information of the storage means, and the keyword and the other keyword recalled from the keyword Calculating a second point indicating the degree of association based on the recall frequency of the second, calculating a third point indicating the degree of association between the keywords based on the second point and the operating status of the power plant, Knowledge database generating means for constructing a knowledge database based on the third point and the trial operation information, and for the operator, the first point, the user rank level of the operator, and the knowledge database Presenting means for presenting the trial operation information related to the nonconformity input by the operator, To provide a driving support system that Bei.

  According to the present invention, the user rank level corresponding to the skill level including the capability and experience level of the operator and the security level which is the reliability of the operator is set for the operator of the power plant, and the highest user rank Test run information including information on non-conformance in test run recorded by skill level operators who are level level operators indicates the user rank level and the weighting of importance given when skill level drivers record test run information The first point is stored in association with each other. In the case of non-compliance of trial operation, the degree of relevance between the keyword and other keywords recalled from the keyword (second point) including trial operation information input from other power plants stored in the storage means (second point) ) Is calculated, the degree of association is recalculated based on the degree of association and the operating status of the power plant (third point), and the trial operation information including nonconformity is calculated based on the degree of association taking into account the operating status of the power plant A knowledge database is constructed. Based on the first point, the knowledge database, and the user rank level of the operator, test operation information regarding nonconformity is presented.

In this way, the skill level operator is presented by analyzing the cause of the nonconformity and the appropriate countermeasure for the nonconformity based on the knowledge of the skill level operator and the first point set by the skill level operator. Even operators with a lower user rank level can respond in the same way as actions taken by skill level operators as soon as a nonconformity occurs, and can cope with problems that may occur in the future at their own power plant. It becomes.
Further, since the relevance between the input keyword and another keyword recalled from the keyword is determined by the text mining process, the time until the coping method is presented to the driver can be shortened.

  The knowledge database generation means of the driving support system may display the contents of the knowledge database in a tree using a Bayesian network model.

  By displaying the degree of relevance of power plant nonconformity in a tree structure using the Bayesian network, it is possible to visually cope with nonconformity even for an operator having less knowledge than a skill level operator.

  In the driving support system, the skill level operator performs a data mining process on the test operation data obtained by causing the power plant to perform the test operation, and the skill level operator when the nonconformity occurs during the past test operation. Is provided, and the presenting means is configured to estimate the adjustment location and the adjustment location when the nonconformity estimated by the estimation device occurs. The operation amount may be presented.

  According to such a configuration, using the past time-series trial operation data information, the adjusted location dealt by the skill level operator and the operation amount when the same nonconformity has occurred in the past are presented. As a result, even if the operator has a user rank level lower than that of the skill level operator, by comparing the current trend with the past time-series trial operation data, it is possible to obtain an appropriate response from the past response of the skill level operator. A coping method can be selected and presented. In particular, the present invention can cope with non-conformance during adjustment of the entire system.

In the present invention, Ri information der about commissioning of the power plant, the recommended adjustment parameters and driving support system control method of sharing commissioning information for obtaining the control amount between a plurality of the power plant of the test item commissioning And a user rank level set for the operator according to a skill level including the capability and experience level of the operator of the power plant, and a security level which is the reliability of the operator, The skill level operator who is the operator to which the highest user rank level is set records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. A first step of storing in association with a first point indicating the weight of importance of the trial operation information to be given to the case, Stored in the first process, the second process for presenting the test operation information according to the user rank level of the operator for the transfer, the test operation data acquired by the test operation of the power plant, and the first process. Driving with a third process in which the trial operation information is compared and, when it is determined that a nonconformity has occurred, the trial operation information related to the nonconformity is presented in descending order of the number of the first points. A support system control method is provided.

In the present invention, the driving support system control program to share Ri information der about commissioning of the power plant, the commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant And a user rank level set for the operator according to a skill level including the capability and experience level of the operator of the power plant, and a security level which is the reliability of the operator, The skill level operator who is the operator to which the highest user rank level is set records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. A first process of storing in association with a first point indicating the weighting of the importance of the trial operation information to be given to the case; Stored in the first process, the second process for causing the operator to present the test operation information according to the user rank level of the operator, the test operation data acquired by the test operation of the power plant, and the first process. The test operation information is compared, and if it is determined that a nonconformity has occurred, a third process for causing the test operation information related to the nonconformity to be presented in descending order of the number of the first points. Provided is a driving support system control program to be executed by the driver.

In the present invention, Ri information der about commissioning of the power plant, the recommended adjustment parameters and driving support system control method of sharing commissioning information for obtaining the control amount between a plurality of the power plant of the test item commissioning And a user rank level set for the operator according to a skill level including the capability and experience level of the operator of the power plant, and a security level which is the reliability of the operator, The skill level operator who is the operator to which the highest user rank level is set is associated with the test operation information including information on non-conformance in the past test operation recorded based on the test operations of the plurality of power plants. The first process of storing and the test operation, and the test operation is performed. When a word is detected, a text mining process is performed on the test run information stored in the first step, and the degree of association is indicated based on the keyword and the recall frequency of the other keyword recalled from the keyword. A second point is calculated, a third point indicating the degree of association between the keywords is calculated based on the second point and the operation status of the power plant, and based on the third point and the test operation information Based on a second process of constructing a knowledge database, and for the operator, the user rank level of the operator and the knowledge database in which the degree of association of the keyword is indicated by the third point. And a third process of presenting the trial operation information related to the nonconformity input by a worker. To provide.

In the present invention, the driving support system control program to share Ri information der about commissioning of the power plant, the commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant And a user rank level set for the operator according to a skill level including the capability and experience level of the operator of the power plant, and a security level which is the reliability of the operator, The skill level operator who is the operator to which the highest user rank level is set is associated with the test operation information including information on non-conformance in the past test operation recorded based on the test operations of the plurality of power plants. The first process to be stored and the test operation are incompatible, and the non-conformance input by the operator When the keyword is detected, a text mining process is performed on the test run information stored in the first process, and the degree of association is determined based on the keyword and the recall frequency of the other keyword recalled from the keyword. A second point is calculated, a third point indicating the degree of association between the keywords is calculated based on the second point and the operation status of the power plant, and the third point is calculated based on the third point and the trial operation information. Based on the second process of constructing a knowledge database, the user rank level of the operator, and the knowledge database in which the degree of relevance of the keyword is indicated by the third point for the operator, Causing the computer to execute a third process for presenting the trial operation information regarding the nonconformity input by the operator. Providing driving assistance system control program for.

In the present invention, Ri information der about commissioning of the power plant, the recommended adjustment parameters and driving support system control method of sharing commissioning information for obtaining the control amount between a plurality of the power plant of the test item commissioning And a user rank level set for the operator according to a skill level including the capability and experience level of the operator of the power plant, and a security level which is the reliability of the operator, The skill level operator who is the operator to which the highest user rank level is set records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. A first step of storing in association with a first point indicating the weight of importance of the trial operation information to be given to the case, When a non-conformance occurs in the operation and a keyword related to the non-conformity input by the operator is detected, the test operation information stored in the first process is subjected to text mining processing, and the keyword and the keyword are recalled. A second point indicating the degree of association based on the recall frequency of the other keyword to be calculated, and a third point indicating the degree of association between the keywords based on the second point and the operating status of the power plant For the operator and the second process of building a knowledge database based on the third point and the trial operation information, the first point, the user rank level of the operator, A third step of presenting the test run information related to the nonconformity input by the operator based on a knowledge database; Providing driving assistance system control method comprising.

In the present invention, the driving support system control program to share Ri information der about commissioning of the power plant, the commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant And a user rank level set for the operator according to a skill level including the capability and experience level of the operator of the power plant, and a security level which is the reliability of the operator, The skill level operator who is the operator to which the highest user rank level is set records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. A first process of storing in association with a first point indicating the weighting of the importance of the trial operation information to be given to the case; When non-conformance occurs in the test operation and a keyword related to the non-conformance input by the operator is detected, the test operation information stored in the first process is subjected to text mining processing, and the keyword and the keyword A second point indicating the degree of association is calculated based on the recall frequency of the other keyword to be recalled, and the degree of association between the keywords is calculated based on the second point and the operating status of the power plant. 3 points are calculated, a second process for constructing a knowledge database based on the third points and the trial operation information, the first point for the operator, and the user rank level of the operator And presenting the test operation information related to the nonconformity input by the operator based on the knowledge database. Providing driving assistance system control program for executing a sense, to the computer.

  The present invention has an effect that even an inexperienced trial run coordinator or a foreign national coordinator can perform trial run adjustment of a power plant safely and quickly.

1 is a schematic diagram of a driving support system according to a first embodiment of the present invention. 1 is a schematic configuration diagram of a driving support system according to a first embodiment of the present invention. It is a functional block diagram of the aggregation server which concerns on the 1st Embodiment of this invention. It is the example of a screen which showed the work flow of this invention. It is the example of a screen which showed the detail of the operation | work of this invention. It is the example of a screen which showed the trend of the past test run information of this invention. It is a functional block diagram of the aggregation server which concerns on the 2nd Embodiment of this invention. It is the figure which showed an example of the past nonconformity search flow which concerns on the 2nd Embodiment of this invention. It is an example of the block diagram of the Bayesian network which concerns on the 2nd Embodiment of this invention. It is an example of the block diagram of the Bayesian network reflecting the 2nd point which concerns on the 2nd Embodiment of this invention. It is a functional block diagram of the aggregation server which concerns on the 3rd Embodiment of this invention. It is a figure for demonstrating the statistical model of the expert system which concerns on the 3rd Embodiment of this invention.

  Hereinafter, embodiments of a driving support system, a control method thereof, and a control program thereof according to the present invention will be described with reference to the drawings.

[First Embodiment]
In the present embodiment, the operation support system is described as being used for supporting plant trial operation in a land boiler plant for power generation (coal-fired conventional power generation plant), but the present invention is not limited to this.
FIG. 1 is a schematic diagram of a driving support system 1 according to the present embodiment.
As shown in FIG. 1, the driving support system 1 includes a plurality of local support servers 2 and an aggregation server 3, which are network-connected so as to be able to exchange information.
The local support server 2 is provided at each power plant site of a plurality of power plants, collects test operation data acquired when the actual power plant of the power plant is trial-run, and collects the test operation data as each power plant site. The information is output in real time to the replica server 4 of the local plant office connected so as to be able to exchange information.

In addition, when a skill level operator is performing a test run, if it is determined by the skill level operator that a test drive non-conformity has occurred, or if it is determined that there is test drive information that should be alerted, Trial operation information as teaching data is input by a skill level operator. When the skill level operator creates test run information as teaching data, the skill level operator gives the first point to the test run information and sets the weighting of the importance of the input test run information. Outputs the inputted trial operation information as teaching data and the first point to the replica server 4 in real time in association with each other.
The replica server 4 in the local plant office outputs test operation information periodically (for example, once / day) to the mirror server 5 provided in the HUB office connected to the network between the plant offices.
Further, the replica server 4 outputs the trial operation data to the mirror server 5 in real time.

  The mirror server 5 is connected to the aggregation server 3 so as to be able to exchange information. The mirror server 5 outputs the trial operation data acquired from each local replica server 4 to the aggregation server 3 in real time, and the trial operation information is periodically (for example, once). / Day) to the aggregation server 3.

FIG. 2 is a block diagram showing a schematic configuration of the aggregation server 3 according to the present embodiment.
As shown in FIG. 2, the aggregation server 3 according to the present embodiment is a computer system (computer system), a main storage device 12 such as a CPU (Central Processing Unit) 11, a RAM (Random Access Memory), and an auxiliary storage. The apparatus 13 includes an input device 14 such as a keyboard and a mouse, an output device 15 such as a display and a printer, and a communication device 16 that exchanges information by communicating with external devices.

  The auxiliary storage device 13 is a computer-readable recording medium, such as a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, or a semiconductor memory. Various programs (for example, driving support system control program) are stored in the auxiliary storage device 13, and the CPU 11 reads out the program from the auxiliary storage device 13 to the main storage device 12 and executes it, thereby realizing various processes. Let

  The aggregation server 3 is connected to the local support server 2 provided in each of the plurality of power plants that are performing the trial operation so as to be able to exchange information. As shown in FIG. 1, the connection between the aggregation server 3 and the local support server 2 may be connected via another server (for example, a replica server or a mirror server) that acts as an intermediary. You may connect without interposing. In addition, when it is difficult to directly transfer data in real time between the local support server 2 and the aggregation server 3 due to the local network environment by using a replica server, a mirror server, or the like as in this embodiment, synchronization is performed periodically. Will be able to take. Further, through a replica server, a mirror server, etc., it is possible to prevent unauthorized access from the local network to the aggregation server 3 and to prevent information leakage.

  FIG. 3 is a functional block diagram showing the functions provided in the aggregation server 3 in an expanded manner. As shown in FIG. 2, the aggregation server 3 includes a storage unit (storage unit) 21, a presentation unit (presentation unit) 22, an order adjustment unit (order adjustment unit) 23, a search unit 24, and a form creation unit. 25, a pass / fail judgment unit 26, a progress management unit 27, a certificate issuance unit 28, and a process management unit 29.

  The storage unit 21 has a user rank level set for an operator of the power plant according to a skill level including the capability and experience level of the operator and a security level that is the reliability of the operator, Importance of test operation information recorded by a skill level operator who is an operator with a high user rank level based on the test operation of multiple power plants and test operation information provided when skill level operators record test operation information The first point indicating the weight of the degree is stored in association with it. The first point is used as a weighting of the importance of teaching data for an operator who does not have the same knowledge and experience as the skill level operator.

  The security level, which is the reliability of the operator, is, for example, the engineer who is the skill level operator has the highest security level, and the next less experienced engineer than the skill level operator (hereinafter referred to as “the operator with lower rank”). ”), And then a technician who is less experienced than a skill level operator and who is a contracted foreign operator (hereinafter referred to as“ foreign operator ”). it can. The reliability is trust in security (safety).

For example, the user rank level is managed by hierarchizing the operators for each skill in advance, as in the skill level management of the quality management system (ISO 9001). Whether to display information in the output device 15 is set in advance according to the user rank level.
Further, the storage unit 21 stores the trial operation information input by the skill level operator and the business flow (see FIG. 4) when performing the trial operation in association with each other.
In the present embodiment, in each business flow, the trial operation information is compared with the trial operation data obtained by the trial operation of the actual power plant, and a trial operation test is performed to determine whether or not a non-conformance occurs in the trial operation.

The storage unit 21 performs data mining processing on the trial operation information, and organizes and stores the result of estimating the adjustment location selected by the operator and the operation amount for the adjustment location.
The presenting unit 22 presents test operation information corresponding to the operator's user rank level to the operator.

FIG. 5 shows an example of a screen showing details regarding the work of the flow, which is displayed when a desired flow is selected from the business flow of FIG. As shown in FIG. 5, on the detailed work screen, detailed explanations regarding work procedures and files necessary for the work are presented. Based on the documents and reports required for the work, skill level operator know-how can be obtained.
The order adjustment unit 23 compares the trial operation data acquired by the trial operation of the power plant with the trial operation information of the storage unit 21. If it is determined that a nonconformity has occurred, the order adjustment unit 23 determines the first of the trial operation information related to the nonconformity. The presentation means presents the items in order from the one with the largest number of points.

The form creation unit 25 creates a report (report) such as a daily report and a trend that is time-series data of the trial operation information as a report by collecting information related to the trial operation for a predetermined period such as one day or one week (FIG. 6). reference). Thereby, it leads to shortening of chores such as creation of forms in the trial run.
The search unit 24 can search related information by using past nonconformance cases, daily report information, trend data, and the like stored in the storage unit 21 as big data. In addition, when the search unit 24 acquires information that the test run is determined to be rejected by the pass / fail determination unit 26, the search unit 24 searches the related information of the test run information determined to be failed (non-conforming) from the big data. Estimate and output the recommended adjustment parameters and control amounts for the test items of the test run that are determined to be acceptable.
Here, the adjustment parameter is recommended using an expert system based on trend data and related information (report and operation information) corresponding to past cases of nonconformity.

  The pass / fail determination unit 26 acquires the test run data collected by the test run of the actual power plant, compares the test run data with the test run information associated with each business flow in each business flow, and determines the pass / fail of the test run test. To do. In the pass / fail judgment of the trial run, veteran experience is required, but the trial run information associated with each business flow is information recorded in advance by the skill level operator. The judgment result for the test run similar to the judgment made by the level operator can be obtained.

In addition, even if the operator performing the test run has less knowledge and experience than the skill level operator, the low-ranking operator or the non-Japanese operator is based on the test run information associated with the business flow. Thus, by continuing the trial run, the performance variation of the trial run result can be suppressed.
When the pass / fail judgment unit 26 determines that the trial run of the collected trial run data is acceptable, the pass / fail judgment unit 26 outputs the fact to the certificate issuing unit 28, and when the trial run is judged to be unacceptable (non-conformity), that fact. Is output to the search unit 24.

The progress management unit 27 responds to a registered document required for customer submission even when the pass / fail determination unit 26 determines that the test run test is unacceptable or when the test run test is determined to pass. If approval is not obtained, a restriction is imposed so that it is not possible to proceed to input of a flow (processing) ahead of the business flow for which the test run test has been accepted or rejected. When the pass / fail determination unit 26 determines that the test run test of the business flow is acceptable and the approval for the document is obtained, the progress management unit 27 determines a flow ahead of the flow for which the test run test is determined pass / fail. You can proceed to.
For example, there is a list display screen of documents required for customer submission in advance, and when a document is registered after creating the required document, a notification (for example, e-mail) of document registration completion is automatically sent to the approver set in advance It is distributed, and approval / non-approval (comment input etc. is also possible) is selected by the notification (mail) receiver.

When it is determined that the test run test is successful and a document required for customer submission related to the test run test is approved by a preset approver, the certificate issuing unit 28 certifies completion of the test run for the test run test. Issue a certificate.
The process management unit 29 performs process management of the test run test. For example, the process management unit 29 obtains information on the start and completion of work (hereinafter referred to as “completion”), progress management, presents the difference from the standard time, and personnel evaluation (results evaluation) of the operator in charge of the test run I do. Further, the process management unit 29 may convert a process delay into a damage amount.

Below, the effect | action of the driving assistance system 1 concerning this embodiment is demonstrated.
The local support servers 2 are arranged in a plurality of power plants, respectively, and trial run data when operators of all user rank levels perform trial runs are input to the local support server 2 and output to the aggregation server 3 in real time. In addition, when a skill level operator is performing a test run, if it is determined by the skill level operator that a test drive nonconformity has occurred, or if it is determined that there is information on a test drive that should be alerted, Trial operation information serving as teaching data is input by the skill level operator. In addition, when creating test run information as teaching data, the skill level operator assigns the first point to the test run information and sets the weighting of the importance of the entered test run information. The server 2 associates and outputs the trial operation information as the input teaching data and the first point.

The aggregation server 3 sequentially acquires the trial operation data output from each local plant, and stores the trial operation information acquired at a predetermined timing (for example, once / day) in the storage unit 21.
The trial operation data and the trial operation information in the storage unit 21 are compared to determine whether the trial operation test is acceptable.
In each business flow, when the test run test is determined to be rejected (non-conforming), the test run information registered as teaching data related to the test run data determined to be rejected is in descending order of the first point number. Presented. Also, related information of trial operation information that has been rejected (non-conformance) is searched from big data including past trial operation information, daily report information, and trend data regarding non-conformance, and is recommended for the test items of the trial operation that are determined to be unacceptable. The adjustment parameter and its control amount are estimated and output.

Low-ranking operators and foreign operators have less knowledge and experience than skill-level operators, so just checking the test operation data will help you to identify non-conformances and to detect non-conformities. Even if it is recognized, it is difficult to quickly respond to the nonconformity.
Therefore, low-ranking operators and foreign operators check the test driving information that is adjusted and presented in the order of the first number of points, so that even if there are no skill level operators, Information of the same level as the employee (or at least a knowledge level higher than the current knowledge level) is obtained. Thereby, even a low-ranking operator and a foreign operator can quickly respond when a nonconformity occurs.

  In addition, the low-ranking operator and the foreign operator can check the adjustment parameters recommended in the test item of the test operation and the control amount for the test operation data determined to be unacceptable in the aggregation server 3, so that the malfunction ( Non-conformity) and possible problems in future power plants can be ascertained in advance and can be dealt with quickly. In addition, the user rank level is set not only according to the level of knowledge and experience, but also considering the reliability of security (security), so it depends on the in-house operator and the outside (consignee) operator. The adjustment parameters that can be adjusted can be divided.

  If it is determined that the test run is acceptable, documents necessary for customer submission are created. When a document is created and registered, a document registration completion mail is issued to a preset document approver. When the document approver who has acquired the document registration completion mail executes the “approval” of the document, a test run completion certificate is issued.

When the document approver executes “non-approval” of the document, the test run completion certificate is not issued until the “approval”.
If the document is approved, the process can proceed to the next process in the workflow. If the document is unapproved, the process cannot proceed to the next process. In this way, progress management can be performed according to the result of approval / non-approval of the document.

In addition, by performing process management, progress management can be performed by acquiring work completion information in each business flow, and a difference from the standard time can be derived based on past records, or results can be evaluated. Further, when a delay occurs in the process, the delay can be converted into a damage amount.
In the above description, an example in which weighting (first point) is provided and presented for past non-conforming cases has been described. However, the present invention is not limited to this, and the conforming cases stored in the storage unit 21 are described. Provide a knowledge database generator that collates and compares past information, and associates information (similar data) that is determined to be similar as a result of collation and comparison, and collects information by giving points based on the degree of similarity May be. As a result, not only the past nonconforming cases but also the conforming cases have a high weighting value. As a result, data that can be used for standardization of driving, that is, information on which adjustment parameter should be used while driving can be presented to the operator.

As described above, according to the driving support system 1 and its control method and its control program according to the present embodiment, when it is determined that a non-conformity has occurred in the trial run, it is stored in the storage unit 21. Since the search is performed including the trial operation information input from other power plants, even if the power plant has a non-conformance that has not occurred in the past, it was recorded as a non-conformity of the other power plant. If there is trial operation information, the trial operation information is presented. As a result, even if the user rank level of the operator is lower than that of the skill level operator, the same action (response) as the action (response) performed by the skill level operator can be performed quickly when a nonconformity occurs. It becomes possible to cope in advance with problems that may occur in the future in your power plant.
In addition, when presented to the presentation unit 22, since the first point is given to the trial operation information determined to be important by the skill level operator, by causing the trial operation information to be presented according to the first point number, Even when there is a lot of trial operation information related to nonconformity, the operator can check the trial operation information in descending order of importance.

Even when there are no skill level operators, a low-rank (inexperienced) operator is presented with a work flow to follow, and even when non-conformities occur, appropriate countermeasures can be taken from past non-conformance information. Can be presented. As a result, a low-ranking operator (inexperienced) can perform a trial operation safely and can quickly respond to a nonconformity.
In the introduction of power plants, it takes time for local installation work and trial operation is often limited, but according to the present invention, even an inexperienced operator or a foreign national operator can quickly Therefore, a trial run can be performed in a limited period.

[Second Embodiment]
Hereinafter, a second embodiment of the present invention will be described with reference to FIGS. The driving support system according to the second embodiment is different from the first embodiment in that the knowledge database generating unit 30 is provided. Hereinafter, description of points common to the first embodiment will be omitted, and different points will be mainly described.

FIG. 7 shows a schematic diagram of the aggregation server 3 of the driving support system according to the present embodiment.
The storage unit 21 has a user rank level set for an operator of the power plant according to a skill level including the capability and experience level of the operator and a security level that is the reliability of the operator, The skill level operator who is an operator to which a high user rank level is set is stored in association with trial operation information including information on nonconformity in past test operations recorded based on the test operations of a plurality of power plants.

  The knowledge database generation unit 30 performs a text mining process on the trial operation information in the storage unit 21 when a non-conformance occurs in the trial operation and a keyword related to the non-conformance input by the operator is detected, and the keyword and the keyword are recalled from the keyword. The knowledge database (knowledge DB) 31 is constructed by calculating the second point indicating the degree of association based on the recall frequency of other keywords. Further, a third point indicating the degree of association between keywords is calculated based on the second point and the operation status of the power plant, and the knowledge database 31 is constructed based on the third point and the trial operation information. The knowledge database 31 according to the present embodiment constitutes a Bayesian network.

  Here, the operating status of the power plant specifically refers to the installation location of the power plant, the weather conditions of the environment where the power plant is installed, and the like. For example, the temperature of the water supplied to the boiler of the power plant must be adjusted to an appropriate temperature, but when the power plant is installed in Japan (for example, a relatively cool area) and in India (for example, relatively Since the water temperature before supply is different from the case where it is installed in a hot area), the temperature adjustment degree for the supplied water is different. Therefore, the third point is calculated in consideration of the environment where the power plant is installed, and the knowledge database 31 is configured, so that a Bayesian network suitable for the environment where the power plant is installed is obtained, and an appropriate adjustment amount is obtained. Information can be obtained. In addition, although adjustment of water temperature was demonstrated as an example here, it is not limited to this, It will not specifically limit if it is a parameter depending on installation environment in test operation of a power plant, such as the temperature of input fuel, the temperature of input oxygen. .

  The presenting unit 22 presents the test run information regarding the nonconformity to the operator based on the user rank level of the operator and the knowledge database 31 in which the degree of keyword relevance is indicated by the third point.

Below, the effect | action of the driving assistance system which concerns on this embodiment is demonstrated using FIG.
Text mining processing is performed on big data such as correspondence information regarding past nonconformity stored in the storage unit 21, a report (form) when nonconformity occurs, and a knowledge database 31 is generated (step SA1). Also, word relevance is learned based on big data (step SA2), and a related word dictionary is generated from the learning result (step SA3).
When non-conformance occurs, a keyword regarding the non-conformance that has occurred is input by a low-ranking operator or a foreign operator (step SA4). When the keyword is acquired, a full-text search is performed for the keyword from the trial operation information recorded by the skill level operator in the past and including the non-conformity information of the past trial operation (step SA5).
The weights of keywords and recall keywords are calculated as points. A related word having a high degree of association with the keyword of the nonconforming information is extracted, and information having a high degree of association is preferentially extracted based on the obtained point information (step SA6).

As a result, related cases are output from the knowledge database 31 that is the stored nonconformity related information in the form of a tree shown in FIG. The critical path of the tree T is expressed by a point to which a value having a high degree of association is given, unnecessary branches are deleted, and past cases that are closely related are extracted and presented (step SA7).
With this structure, the information that is automatically stratified, such as the countermeasure most relevant to the keyword of the nonconformity information, the equivalent countermeasure, and the countermeasure of the reference level, etc., is divided into skill levels (higher ranks). ) Even if there is no operator, it can be presented from the system to an operator with a lower rank than the skill level operator.

More specifically, the terminology related to nonconformity is extracted as a keyword by evaluating the correspondence information of past nonconformity and the sentences described in the report documents at the time of nonconformity by morphological analysis, and the keyword is Bayesian. A network is created (see FIG. 9). At this stage, the weighting of the degree of relevance of keywords is undetermined.
Thereafter, each time a keyword of nonconformity information is input, the second point (weighting) of importance is obtained by calculating the appearance frequency of a technical term of a related keyword recalled from the keyword by evaluating a weight such as N-gram. Calculated (see FIG. 10). Further, the degree of association is recalculated as the third point based on the second point and the operating status of the power plant.

Accordingly, the relationship between the extracted technical terms can be given a weight, and the technical terms with high relevance, and the nonconformity correspondence information / reports can be presented to the commissioner as reference materials.
In the present embodiment, since the knowledge database 31 is created based on the third point, focusing on the relationship between the keyword and the related keyword recalled depending on the operation status of the power plant, the operation of the power plant is performed. Strongly relevant keywords are selected according to the situation, and appropriate measures according to the driving situation can be presented.

  As described above, according to the driving support system, the control method thereof, and the control program thereof according to the present embodiment, when a test driving nonconformity occurs and a keyword related to a malfunction is input by the operator, the storage unit 21 The degree of association (second point) between the keyword and another keyword recalled from the keyword, including the trial operation information input from the other stored power plant, is obtained, and the degree of association and the power plant The degree of association is recalculated based on the operation status of the power plant (third point), and the knowledge database 31 of the trial operation information including nonconformity is constructed based on the degree of association taking into account the operation status of the power plant. And the test run information regarding the nonconformity are presented based on the user rank level of the operator.

In this way, factor analysis at the time of nonconformity occurrence and appropriate countermeasures for nonconformity are presented based on the knowledge of the skill level operator, so that the operator (rank rank) of the user rank level is lower than the skill level operator Even low-level operators and foreign operators) can respond quickly to the skills level operators in the event of non-compliance, and can cope with problems that may occur in the future at their own power plant. It becomes. Thereby, the relevance between the extracted technical terms can be weighted, and the technical terms with high relevance, the correspondence information regarding the nonconformity, and the reports can be presented to the commissioner as reference materials.
Further, since the relevance between the input keyword and another keyword recalled from the keyword is determined by the text mining process, the time until the coping method is presented to the driver can be shortened.

[Third Embodiment]
Hereinafter, a third embodiment of the present invention will be described with reference to FIGS. The driving support system according to the third embodiment differs from the first embodiment and the second embodiment in that the driving support system includes an estimation unit 32 that presents a recommended operation for a power plant that is being trial run. . Hereinafter, description of points common to the first embodiment and the second embodiment will be omitted, and different points will be mainly described.

The estimation unit 32 performs a data mining process on the past test operation information stored in the storage unit 21 obtained by the skill level operator causing the power plant to perform a test operation, and if a nonconformity occurs during the past test operation, The adjustment location selected by the level operator and the operation amount for the adjustment location are estimated. At this time, the presentation unit 22 presents the adjustment location and the operation amount for the adjustment location when the nonconformity estimated by the estimation unit 32 occurs.
For example, with respect to the total fuel (heat input) for the boiler, the ratio of the heat transfer surface portion of the heat transfer surface such as a heater or evaporator that is absorbed by the heat transfer surface is shown in a pie chart. If the balance of heat absorption of the heat transfer surface according to the load determined in the plan is different from the balance of heat absorption of the actual heat transfer surface, Give feedback on the situation and suggest where to adjust.

  Also, when the temperature change is displayed in time series as the trend of panel temperature or furnace temperature, the magnitude of the temperature change, that is, the temperature change is obtained by taking the time series differentiation of the temperature change from a certain point in time. It is also possible to obtain the amount, further obtain the second-order derivative of the temperature in time series, obtain the temperature change speed, that is, the temperature change speed, and present the location to be adjusted and the operation amount when the predetermined threshold is exceeded. . In this way, in the present invention, focusing on the fact that the operation of the power plant is complicated and there are many instruments, the change in the measured amount is captured and the danger is predicted from the change amount.

Below, the effect | action of the driving assistance system which concerns on this embodiment is demonstrated.
As a method of analyzing the points requiring adjustment when nonconformity occurs, data mining processing is performed on past test operation information and trends in test operation information, the relationship between adjustment parameters and process management values is clarified, and adjustment parameters are estimated from the adjustment values required The trial run adjustment is performed using an expert system as shown in FIG. Here, the process management value is an item (pass / fail reference value) that is a target of pass / fail evaluation in performing a test run.

Specifically, T1 using a statistical method (data mining) such as Pearson's product-moment correlation coefficient as shown in the following equation (1) from past test operation data (trend report): , T2 and A are analyzed, and a correlation model is constructed. Correlation (correlation parameters between T1, T2, and A, such as a1, a2, b2,... Shown in FIG. 12) is obtained from past nonconformity information.
The Pearson product-moment correlation coefficient r is obtained by the equation (1) for the correlation coefficient of the data string (x, y) consisting of two sets of numerical values, and -1 ≦ r ≦ 1, but around r = 0. So I think there is no correlation.

As a result, when a nonconformity occurs, the skill level operator sees which trend (operation amount) and what operation (opening / closing command of valves etc.) has been performed, and trial operation data at the time of past nonconformity occurrence (trend report) From this, the relationship can be determined.
The operation support system sequentially acquires process value information of the actual plant, calculates a recommended operation using a statistical model in the expert system, and presents the recommended operation to be performed next to the test operator.

In this way, the result of back-analyzing what operation the skill level operator performed while looking at which trend based on past trend information is presented, so that operators and foreigners with lower ranks Even an operator can select and present an appropriate coping method from the past response of the skill level operator.
In the present embodiment, the inverse analysis method is used as an example. However, the present invention is not limited to this, and the analysis may be performed based on the cross-correlation between the operation amount of the valve and the trend (operation result).

  Note that the Pearson product moment correlation coefficient expressed by the above equation (1) can obtain a gradual trend by an arithmetic mean. On the other hand, according to the cross-correlation, it is possible to obtain a tracking motion in which the operation and the trend change in a short time. For this reason, which method (arithmetic mean or cross-correlation) is used for the operation of a valve or the like, or which method is mainly evaluated in order to obtain a relationship from these two movements having different characteristics. It is preferable to set in advance.

Although the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the scope of the invention.
Note that the first embodiment to the third embodiment may be combined as appropriate. For example, the configuration of the second embodiment may be combined with the configuration of the first embodiment, or the configuration of the third embodiment may be combined with the configuration of the first embodiment.

DESCRIPTION OF SYMBOLS 1 Driving support system 2 Local support server 3 Aggregation server 21 Storage part 22 Presentation part 23 Order adjustment part 24 Search part 25 Form preparation part 26 Pass / fail judgment part 27 Progress management part 28 Certificate issue part 29 Process management part 30 Knowledge database generation part 31 Knowledge Database 32 Estimator

Claims (11)

Information der about commissioning of the power plant is, a driving support system that shares commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant,
The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level which is the reliability of the operator, the highest Granted when the skill level operator, who is the operator to which the user rank level is set, records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. Storage means for associating and storing a first point indicating the weighting of the importance of the test operation information;
Presenting means for causing the operator to present the test operation information according to the user rank level of the operator;
The trial operation data acquired by the trial operation of the power plant is compared with the trial operation information of the storage means, and if it is determined that a non-conformity has occurred, the first of the trial operation information related to the non-conformity. A driving support system comprising order adjusting means for presenting items in descending order of the number of points. Information der about commissioning of the power plant is, a driving support system that shares commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant,
The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level which is the reliability of the operator, the highest The skill level operator who is the operator to which the user rank level is set is stored in association with the trial operation information including information on nonconformity in the past trial operation recorded based on the trial operation of the plurality of power plants. Storage means;
When non-conformance occurs in the test operation and a keyword related to the non-conformity input by the operator is detected, the test operation information in the storage means is subjected to text mining processing, and the keyword and other keywords recalled from the keyword The second point indicating the degree of association is calculated based on the recall frequency of the keyword, and the third point indicating the degree of association between the keywords is calculated based on the second point and the operating state of the power plant. A knowledge database generating means for constructing a knowledge database based on the third point and the trial operation information;
The test operation related to the nonconformity input by the operator based on the user rank level of the operator and the knowledge database in which the degree of relevance of the keyword is indicated by the third point. Presentation means for presenting information;
A driving support system comprising: Information der about commissioning of the power plant is, a trial operation support apparatus to share commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant,
The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level which is the reliability of the operator, the highest Granted when the skill level operator, who is the operator to which the user rank level is set, records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. Storage means for associating and storing a first point indicating the weighting of the importance of the test operation information;
When non-conformance occurs in the test operation and a keyword related to the non-conformity input by the operator is detected, the test operation information in the storage means is subjected to text mining processing, and the keyword and other keywords recalled from the keyword The second point indicating the degree of association is calculated based on the recall frequency of the keyword, and the third point indicating the degree of association between the keywords is calculated based on the second point and the operating state of the power plant. A knowledge database generating means for constructing a knowledge database based on the third point and the trial operation information;
Presenting the operator with the trial operation information related to the nonconformity input by the operator based on the first point, the user rank level of the operator, and the knowledge database. Means,
A driving support system comprising:   The driving support system according to claim 2, wherein the knowledge database generation means displays the contents of the knowledge database as a tree using a Bayesian network model. The skill level operator performs a data mining process on the test operation data obtained by causing the power plant to perform the test operation, and the adjustment point selected by the skill level operator when the nonconformity occurs during the past test operation, , Comprising an estimation means for estimating an operation amount for the adjustment location,
The driving support system according to any one of claims 1 to 4, wherein the presenting unit presents the adjustment location and the operation amount with respect to the adjustment location when the nonconformity estimated by the estimation unit occurs. . Information der about commissioning of the power plant is, a recommended adjustment parameters and driving support system control method of sharing commissioning information for obtaining the control amount between a plurality of the power plant of the test item commissioning,
The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level which is the reliability of the operator, the highest Granted when the skill level operator, who is the operator to which the user rank level is set, records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. A first step of associating and storing a first point indicating a weight of importance of the trial operation information to be performed;
A second step of causing the operator to present the test operation information according to the user rank level of the operator;
When the trial operation data acquired by the trial operation of the power plant is compared with the trial operation information stored in the first process, and it is determined that a nonconformity has occurred, the trial operation information related to the nonconformity A driving assistance system control method comprising: a third step of presenting the first points in descending order of the number of the first points. Information der about commissioning of the power plant is, a driving support system control program to share commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant,
The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level which is the reliability of the operator, the highest Granted when the skill level operator, who is the operator to which the user rank level is set, records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. A first process of storing in association with a first point indicating the weighting of the importance of the trial operation information
A second process for causing the operator to present the test operation information according to the user rank level of the operator;
The trial operation data acquired by the trial operation of the power plant is compared with the trial operation information stored in the first process, and when it is determined that a nonconformity has occurred, the trial operation information related to the nonconformity Driving control system control program for making a computer perform the 3rd processing made to show in an order from the one with the largest number of the 1st point among them. Information der about commissioning of the power plant is, a recommended adjustment parameters and driving support system control method of sharing commissioning information for obtaining the control amount between a plurality of the power plant of the test item commissioning,
The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level which is the reliability of the operator, the highest The skill level operator who is the operator to which the user rank level is set is stored in association with the trial operation information including information on nonconformity in the past trial operation recorded based on the trial operation of the plurality of power plants. The first process,
When non-conformance occurs in the test operation and a keyword related to the non-conformity input by the operator is detected, the test operation information stored in the first process is subjected to text mining processing, and the keyword and the keyword A second point indicating the degree of association is calculated based on the recall frequency of the other keyword to be recalled, and the degree of association between the keywords is calculated based on the second point and the operating status of the power plant. A second process of calculating 3 points and constructing a knowledge database based on the third points and the test run information;
The test operation related to the nonconformity input by the operator based on the user rank level of the operator and the knowledge database in which the degree of relevance of the keyword is indicated by the third point. A driving support system control method comprising a third step of presenting information. Information der about commissioning of the power plant is, a driving support system control program to share commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant,
The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level which is the reliability of the operator, the highest The skill level operator who is the operator to which the user rank level is set is stored in association with the trial operation information including information on nonconformity in the past trial operation recorded based on the trial operation of the plurality of power plants. A first process;
When non-conformance occurs in the test operation and a keyword related to the non-conformance input by the operator is detected, the test operation information stored in the first process is subjected to text mining processing, and the keyword and the keyword A second point indicating the degree of association is calculated based on the recall frequency of the other keyword to be recalled, and the degree of association between the keywords is calculated based on the second point and the operating status of the power plant. A second process for calculating three points and constructing a knowledge database based on the third points and the test run information;
The test operation related to the nonconformity input by the operator based on the user rank level of the operator and the knowledge database in which the degree of relevance of the keyword is indicated by the third point. A driving support system control program for causing a computer to execute a third process for presenting information. Information der about commissioning of the power plant is, a recommended adjustment parameters and driving support system control method of sharing commissioning information for obtaining the control amount between a plurality of the power plant of the test item commissioning,
The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level which is the reliability of the operator, the highest Granted when the skill level operator, who is the operator to which the user rank level is set, records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. A first step of associating and storing a first point indicating a weight of importance of the trial operation information to be performed;
When non-conformance occurs in the test operation and a keyword related to the non-conformity input by the operator is detected, the test operation information stored in the first process is subjected to text mining processing, and the keyword and the keyword A second point indicating the degree of association is calculated based on the recall frequency of the other keyword to be recalled, and the degree of association between the keywords is calculated based on the second point and the operating status of the power plant. 3 points are calculated, a second process of constructing a knowledge database based on the third points and the trial operation information, for the operator, the first point, the user rank level of the operator, A third step of presenting the trial operation information related to the nonconformity input by the operator based on the knowledge database; When,
A driving support system control method comprising: Information der about commissioning of the power plant is, a driving support system control program to share commissioning information for obtaining the recommended adjustment parameters and control of the test item commissioning among a plurality of the power plant,
The user rank level set for the operator according to the skill level including the capability and the degree of experience of the operator of the power plant and the security level which is the reliability of the operator, the highest Granted when the skill level operator, who is the operator to which the user rank level is set, records the test operation information recorded based on the test operations of the plurality of power plants, and the skill level operator records the test operation information. A first process of storing in association with a first point indicating the weighting of the importance of the trial operation information
When non-conformance occurs in the test operation and a keyword related to the non-conformance input by the operator is detected, the test operation information stored in the first process is subjected to text mining processing, and the keyword and the keyword A second point indicating the degree of association is calculated based on the recall frequency of the other keyword to be recalled, and the degree of association between the keywords is calculated based on the second point and the operating status of the power plant. A second process for calculating three points and constructing a knowledge database based on the third points and the test run information;
The test operation information related to the nonconformity input by the operator is presented to the operator based on the first point, the user rank level of the operator, and the knowledge database. 3 treatments,
Driving support system control program for causing a computer to execute.

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