JP2002155708A - System and method of providing guidance for power- generating plant - Google Patents

Abstract

PROBLEM TO BE SOLVED: To take actions against abnormal indication or abnormality occurrence in any of constituent apparatuses in a power-generating plant before occurrence of process control abnormality caused by an abnormality in any of the constituent apparatuses. SOLUTION: This system is provided with an abnormality developing evaluation means 16 of receiving previous notification of apparatus abnormality diagnosed base on process information from the constituent apparatuses in the power-generating plant and evaluating an abnormality developing condition, and a guidance output means 20 of outputting a guidance for operation and maintenance of the power-generating plant based on the evaluation results of the abnormality developing condition.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a system and method for providing guidance for a power plant using, for example, a steam turbine or a combined cycle system of a gas turbine and a steam turbine.

[0002]

2. Description of the Related Art Generally, steam,
Many process control systems for controlling pressure, temperature, flow rate, etc. of various process devices such as water and oil are used. These process control systems include a detection end for measuring a process state quantity, an operation end for operating the process state quantity, and a control operation unit for executing process control.

An actual process control system has a self-powered control system in which the detection end and the operation end are integrated, a pneumatic control system in which the detection end to the operation end are processed through an air signal, There is an electric control system using an electric signal instead of an air signal.

[0004] Such a process control system will be sequentially described below from the viewpoint of "inspection and adjustment", "abnormality detection", and "response to abnormalities".

[Inspection and Adjustment of Process Control System] Each component of the process control system of the power plant is inspected and re-adjusted using opportunities such as periodic inspections. The inspection and adjustment are performed in the order of “inspection and adjustment of component devices alone” and “inspection and adjustment as a control loop combining component devices”.

[0006] The design value and the allowable value serving as the reference for this adjustment are:
Plant operation plan at the time of power plant construction (for example, WSS (Weekly Start St
op) DSS (Dai) where operation and start / stop are repeated every day
ry Start Stop), base load and peak load operation, etc.) and equipment design values of plant components (pressure loss, heat exchange rate, process volume operation range from the viewpoint of equipment efficiency and protection, etc.) It is set to be.

For this reason, inspection of the process control system,
In adjustment, unless there is a problem with controllability, etc., the adjustment is re-adjusted based on the individual adjustment data of each component before inspection, and control is performed in a state where the adjusted devices are combined. It is common to readjust the control constants as a loop.

[0008] This inspection and adjustment will be described below separately for a "unit alone" and a "control loop operation unit".

In order to adjust a single device, a process control system satisfies appropriate controllability. In order to satisfy the required controllability, a design value and a control value defined as parameters relating to controllability, such as linearity and responsiveness, required for each component device are adjusted. The adjustment is made based on the allowable value of the device alone with respect to the design value.

In the case of a device such as a pressure transmitter that does not require disassembly and inspection of the device or replacement of components in general inspection and re-adjustment, deterioration of components such as a detection element and a circuit element in the device over time. Due to such factors, a change in device characteristics typified by a decrease in linearity in input / output signal characteristics, a shift in span, a drift in zero point, and the like occurs. An adjustment means such as an adjustment dial is used for these changes, and the device is adjusted by correcting the characteristic change by changing the constant of the internal circuit element.

Further, in the case of a general inspection and readjustment such as a pneumatic control valve, the same positioner, and a pneumatic controller which require disassembly and inspection of the equipment or replacement of parts, the deterioration of the components over time. In addition to changes in equipment characteristics caused by wear, wear, etc., differences in individual characteristics of parts such as consumable parts and periodic replacement parts that are replaced due to deterioration, wear, etc., and misalignment and bolts during reassembly after disassembly Assembly errors such as imbalances in tightening force also exist as factors that change the characteristics of the device.These factors cause device characteristics such as reduced linearity in input / output signal characteristics, span deviation, and zero point drift. Changes occur. With respect to these changes, the device is adjusted by correcting the characteristic changes by adjusting the adjusting screw or adjusting the gland packing tightening force of the valve.

In the course of inspection and adjustment work of each component device alone, it may be necessary to replace the entire device or replace or repair internal components. When replacement or repair is necessary in this way, for example, if the performance guaranteed by the device alone cannot be satisfied and the device fails to be repaired, the internal components of the device will In the case where the wear is deteriorated so that the value deviates from the value, there is a case where the adjustment dial cannot be further adjusted due to the repetition of the adjustment so far and the adjustment dial is swung completely.

[0013] Such an abnormality of a single component of the process control system causes a prolonged inspection and adjustment period, which may affect the periodic inspection process of the entire plant.

However, in order to deal with an abnormality of a single component device in these process control systems, a detection terminal or an operation terminal capable of outputting device internal information or self-diagnosis information, such as an intelligent instrument, to the outside is provided. By using this equipment information together with an equipment analyzer that can analyze the target equipment by receiving such equipment information, it is possible to detect abnormality of the equipment itself and obtain guidance information on inspection or parts replacement prior to inspection and adjustment work. I have.

The adjustment of the control loop includes design values specified as parameters relating to controllability, such as linearity and responsiveness, of each component constituting the process control, and an allowable value of the design value as a single device. It will be adjusted accordingly. Therefore, in adjustment as a control loop,
The control constants are changed and adjusted in such a manner that the deviation between the design value and the adjustment value of each component device is corrected.

[0016] Further, even when the process amount to be controlled has changed from the time of control loop design due to deterioration of plant equipment or changes in plant operation, such as a decrease in the efficiency of a heat exchanger, the process control system can be used. It causes a decrease in controllability. These deviations are also corrected by adjusting the control constant of the control loop.

[Abnormal Detection of Process Control System] In a process control system of a power plant, if an abnormality occurs in each component, it is difficult to perform appropriate automatic control, and the component of the plant may be damaged. Therefore, it is necessary to stop the plant, which has a serious adverse effect in terms of stable power supply. Therefore, in order to minimize this adverse effect, it is necessary to detect the occurrence of an abnormality as soon as possible and to take measures against it.

Regarding this abnormality detection, "self-powered control system and pneumatic control system" and "electrical control system" are classified by control system, and "detection end", "control operation unit", and "operation end" are classified by component device. Will be described below.

In the case of the self-powered control method and the pneumatic control method, there is no efficient and effective solution to the abnormality detection of each component in the control system. The method employs a method of indirectly detecting an abnormality of each component of the control system by monitoring a process state quantity of the control system and detecting the abnormality.

In the case of the electric control system, an abnormality can be detected by a configuration of a complicated logic circuit as compared with the pneumatic system, so that the plant control described in the case of the self-powered control system and the pneumatic control system is used. In addition to the means for detecting the abnormality of the process state quantity, the following abnormality can be detected.

That is, as a method of detecting an abnormality at the detecting end, there is a method of detecting a case where the detected value deviates from a range set at an input unit of the control operation unit that receives a signal at the detecting end. This is to detect whether a signal that deviates upward or downward from a preset output signal range of the detection terminal is input to the input unit of the control operation unit. The output signal range of the detection end is designed to be a numerical value capable of measuring the process amount in every operation mode of the plant. Therefore, the state deviating from this range is either an abnormality in the detection end or an unexpected plant operation state.

As a method for detecting an abnormality in the control operation section, there is an abnormality detection in each component (CPU, input / output device, etc.) of the operation section. These abnormalities are detected by electrical processing of the control calculation unit.

Further, as a method of detecting an abnormality of the operation end, there is a detection of a large deviation amount and a detection of a low supply air pressure. The detected deviation amount includes a deviation between the target value and the set value, a deviation between the process amount and the target value, and a deviation between the operation position of the operation end and the target value. In process control, these deviations exist to a considerable extent, and based on this, the permissible deviation amount including the time factor of delay in following up is set for each control system based on the target process amount and control purpose. Have been. The permissible deviation is a numerical value in consideration of the amount of process state and the amount of change in all operation modes of the plant. Therefore, the state of deviating from this deviation amount is either a malfunction of the operation or a plant operation state that is not assumed, except for a poor adjustment in the adjustment process of the control loop.

[Response at the time of abnormality of the process control system] In the plant operation method, when abnormality of the process state quantity of the plant or abnormality of the process control system as described above is detected, the following procedure is performed. It is common to respond.

First, the operator recognizes that some abnormality has occurred by issuing a warning or the like.

Second, the operator confirms the contents of the alarm,
At the same time, confirm whether there is an abnormality in the relevant plant state quantity.

Third, the operator identifies a problem in the plant operation from the information and stops the plant,
Alternatively, it is determined whether the plant operation is to be continued by an operation method in a predetermined special operation mode assuming occurrence of an abnormality.

When the plant is stopped, there are a planned stop for performing regular or irregular inspection and maintenance of the equipment, and an unplanned stop due to the occurrence of an unexpected abnormality. In the case of an abnormality that makes it difficult to continue the operation of the plant, such as an abnormality in the process control system, it is common to perform an unplanned stop operation by detecting the abnormality, but it is not necessary to stop the plant urgently. In the event of an abnormal event with a small range of impact, the plant will continue to operate for the time being, set a planned shutdown period on weekends, etc., where there is little impact on the power supply, and contact the power supply control center to stop the operation. After securing the necessary power supply on the day, the plant is stopped. Such a plant shutdown is treated as a planned shutdown.

Fourth, the operator carries out a survey for identifying the cause of the alarm as a measure for recovery. In general,
First, at the same time as confirming the contents of the alarm, the behavior of the related plant state quantity and the presence or absence of an abnormality are confirmed, and the cause thereof is estimated. When there are a plurality of factors to be estimated or when the estimated factors are low in the probability of being true factors, field surveys such as signal confirmation are also performed to identify the true factors. Also, depending on the mode of the abnormality, it is possible that an abnormality that cannot detect an abnormality occurrence report due to an alarm or the like may have occurred secondarily. Therefore, investigate the presence or absence of these secondary abnormalities. In some cases.

Fifth, the operator is required to remove abnormal factors, repair,
Determine countermeasures such as parts replacement and readjustment. In making this determination, it is necessary to make comprehensive judgments such as the inventory and delivery date of the replacement part, the procedure for repair and adjustment, and the recovery work period based on this.

It should be noted that such factor identification described above,
Although a series of tasks such as investigating the presence or absence of secondary abnormalities, removing abnormal factors, repairing, replacing parts, re-adjusting, etc. are generally performed by plant users, technical judgment is not When this is not possible, the company often asks plant manufacturers for technical assistance.

In such a case, the plant maker that has received the technical support request receives the plant information and request information (range of request for factor identification, replacement parts procurement, etc.) from the user, and receives the information and the plant information. It responds to user needs based on the manufacturer's know-how.

[0033]

However, the process control system of the power plant has the above-mentioned operation,
Although maintained, there are several challenges.

First, in inspection and adjustment, there is a problem whether or not optimal control as a control loop when the whole plant is viewed is maintained. That is, whether the process control system is designed and maintained, and optimal control corresponding to a change in plant conditions between the time of introduction and the present time is maintained.

Specific changes in plant conditions include changes in the method of plant operation (for example, WSS operation and DSS operation, base load and peak load operation), and equipment capacity values (pressures) caused by deterioration of plant components. Loss, heat exchange rate, process volume operation range from the viewpoint of equipment efficiency and protection).

In a plant that has been operated and operated for a long period of time, the control target process amount changes from the time of control loop design due to changes in these plant conditions. Therefore, in the adjustment as a control loop, not only the deviation between the design value and the adjustment value of each component of the process control system, but also the deviation of the controlled process amount generated from the plant side is corrected together. It is necessary to change and adjust the control constant in the form.

However, the dynamic adjustment of the control loop is performed during a short-term plant test run for the purpose of confirming the completion of the periodic inspection of the entire plant. This plant test run is performed only in a few typical operation modes. It does not cover the operation in all the operation modes performed during the normal operation period between the periodic inspection and the periodic inspection, and in this sense, the state of the adjusted control loop However, at present, it is not confirmed whether or not the entire plant is in an optimal control state.

In response to the recent slowdown in power demand growth, the completion of new high-efficiency plants, and the aging of existing plants, changes in the capacity composition of each power plant within the power system pipes have led to the fact that each power generation company has Has begun reviewing the efficiency operation of each power plant. The operation plan (WSS operation, DSS operation) for each of the aging existing plants is aimed at eliminating or eliminating the plants and improving the operation efficiency of the entire power system. , Base load operation, peak load operation, etc.).

Therefore, in response to such a change in the plant operation method, it is necessary to optimize a process control system for contributing to the efficiency of the power generation business as the purpose.

For this purpose, in the inspection and readjustment of each component of the process control system, it is necessary to evaluate whether or not the adjustment state is optimal in the current plant operation method and to make changes as necessary. It is.

In order to carry out such evaluations and changes, it is necessary to grasp the inherent performance of each component of the process control system alone and the performance required under the use conditions at the time of the initial planning. After grasping the difference between the performance required under the changed use conditions and the inherent performance of the component device alone, a plant engineering capability for examining how to deal with it is indispensable.

However, it is practically difficult for a general user who operates and maintains the power plant to perform this plant engineering. As a result, the change from the WSS operation to the DSS operation and the change from the base operation to the base operation are difficult. Even if there is a change in plant operation, such as a change to partial load operation, the inspection of each component of the process control system and its reflection in re-adjustment are often not implemented, and plants that have changed operation have In some cases, the adjustment data is no longer the optimum adjustment value in the current plant operation.

Second, there is a problem of the limit of abnormality detection when an abnormality occurs.

As explained in the above-mentioned conventional technology,
In these process control systems, various methods are used to detect the occurrence of abnormalities in order to minimize the plant shutdown due to the occurrence of abnormalities in each component and the adverse effect on the stable supply of power. Each of these detections is performed after it becomes impossible to continue proper process control.

In other words, the detection of the abnormality is performed to safely stop the plant in which proper process control can no longer be maintained, restart the plant as soon as possible, and restart the power supply. Although it can be a means, it cannot be a measure of how to cope with it, and to maintain a stable power supply without unplanned shutdown of the plant.

In addition, some instrumentation devices having a self-diagnosis function such as an intelligent type, such as a control valve positioner and a pressure transmitter, have begun to appear on the market. Degradation is progressing. "And" Diagnosis of pressure transmitter B is abnormal. "It is becoming possible to diagnose abnormalities and deterioration of equipment alone, but this is only possible by detecting abnormality or deterioration of equipment itself. is there.

Therefore, this is not a detection from the viewpoint of plant operation such as prevention of unscheduled plant stoppage or delay of plant start-up time, which the power generation company whose primary purpose is stable supply of electric power is truly desired. .

Thirdly, there is a problem in the ability of the person in charge of handling from identification of an abnormal part to recovery.

In the event of an abnormality, the necessary action is to identify the abnormal part and recover it. In this specific operation, it is extremely rare that the abnormal part can be identified only by the alarm output from the plant monitoring system. An abnormal part can be specified only as a result of comprehensively judging information and various kinds of plant information. Therefore, at the time of this identification work, it is important to determine the range and quality of the information required as a judgment material for identifying the true abnormal site.

Further, depending on the mode of the abnormality, there may be a case in which an abnormality that cannot detect an abnormality occurrence report due to an alarm or the like may occur secondarily. A survey needs to be conducted.

Further, after the cause is specified, the abnormal cause is removed,
It is necessary to determine measures such as repair, parts replacement, readjustment, etc.
In making this determination, it is necessary to make comprehensive judgments such as the inventory and delivery date of the replacement part, the procedure for repair and adjustment, and the recovery work period based on this.

Therefore, it is possible to execute a judgment that combines experience with the plant system and troubleshooting techniques and past abnormal cases and their countermeasures, insight and imagination, and further excludes assumptions and preconceptions. If you are not an expert, you cannot respond accurately and promptly.

Fourth, there is a problem in timing, information transmission amount, and transmission time when requesting technical support from a plant manufacturer.

If the plant user is unable to respond, the plant user must provide plant information and request information (range of requests for factor identification, replacement parts procurement, etc.) to the plant manufacturer to request technical assistance. But
The timing of this request to the plant maker, the amount of information transmitted, and the transmission time will greatly affect the outcome of the subsequent response by the plant maker.

First, in the problem of the request timing, if the delay is significantly delayed from the occurrence of the abnormality, an important plant state quantity for identifying the factor disappears in the course of plant operation after the occurrence of the abnormality, which hinders the factor identification. In addition, during the investigation process on the part of the plant user, careless disassembly investigation was performed to eliminate the abnormal phenomena important for identifying the cause, or the existence of the abnormal phenomenon was not confirmed. Sometimes it comes.

As for the problem of the amount of information transmitted to the plant maker and the transmission time, the amount of information provided by the plant user does not satisfy the amount of information required for the plant maker to cope with, and the problem is dealt with as it is. Since it is not possible to do so, the exchange of the request for the addition and the provision of the shortage information is repeated, and as a result, it may take too much time to respond.

The present invention has been made in view of the above circumstances, and enables, even when a plant operation is changed, optimal adjustment for the operation after the change to be performed, and a process resulting from an abnormality in a component device. An object of the present invention is to provide a power generation plant guidance providing system and method for preventing an abnormality of a process control system by grasping and coping with an abnormality sign of the component device before a control abnormality occurs.

Another object of the present invention is as follows.
It is an object of the present invention to provide a system and method for providing guidance for a power plant that can efficiently and stably supply power by providing information for promptly and accurately executing a response when an abnormality occurs.

[0059]

In order to achieve the above object, according to the first aspect of the present invention, upon receiving abnormality sign information of a component device diagnosed based on process information from a component device of a power plant, It is characterized by comprising abnormal progress evaluation means for evaluating the state of abnormal progress, and guidance output means for outputting guidance for operation and maintenance of the power plant based on the evaluation result of the abnormal progress state.

According to the first aspect of the present invention, the abnormality progress state is evaluated based on the abnormality sign information of the component device diagnosed based on the process information from the component device, so that the change of the plant operation can be prevented. Even so, it is possible to make optimal adjustments to the operation after the change, and it is possible to catch and deal with signs of abnormality of this component before the process control abnormality due to the abnormality of the component occurs. An abnormality of the process control system can be prevented beforehand.

Further, by outputting guidance for operation and maintenance of the power plant based on the result of evaluation of the abnormal progress state, it is possible to provide information for promptly and accurately executing a response when an abnormality occurs, Power can be supplied efficiently and stably.

According to a second aspect of the present invention, in the system for providing guidance of a power plant according to the first aspect, the abnormality progress evaluation means calculates a margin of plant operation continuation and a method for dealing with an abnormality based on the abnormality sign information. Processing.

According to the second aspect of the present invention, the abnormality progress evaluation means calculates the margin of plant operation continuation and the abnormality handling method based on the abnormality sign information,
When judging from a plant operation viewpoint of stable power supply, it can be provided as data for judging whether to stop the operation of the plant immediately or to continue the operation, and when it is necessary to continue the operation Can be provided as determination data for determining the restriction condition.

According to a third aspect of the present invention, in the system for providing guidance of a power plant according to the first aspect, the guidance output means includes a plant engineering consulting device, and the plant engineering consulting device stores plant engineering data and plant engineering data stored in advance. Guidance is output based on data relating to recovery measures and an abnormal progress evaluation result of the abnormal progress evaluation means.

According to the third aspect of the present invention, the guidance is output based on the plant engineering data and the data on the recovery measures previously held by the plant engineering consulting apparatus and the abnormal progress evaluation result of the abnormal progress evaluation means. Thereby, comprehensive and advanced plant engineering information can be provided.

According to a fourth aspect of the present invention, in the system for providing guidance of a power plant according to the first or third aspect, the guidance output means includes a simulator unit,
The simulator unit simulates a plant operating condition input to plant engineering data of the plant engineering consulting apparatus.

According to the fourth aspect of the present invention, the simulator section simulates the plant operating conditions input to the plant engineering data of the plant engineering consulting apparatus,
It can provide more advanced plant engineering information.

According to a fifth aspect of the present invention, in the system for providing guidance of a power plant according to any one of the first to fourth aspects, the fee of the guidance output from the guidance output means to the terminal device is set by the user of the terminal device. And charging means for charging the user.

According to the fifth aspect of the present invention, the user is provided with charging means for charging the fee of the guidance output from the guidance output means to the terminal device to the user of the terminal device. Can be obtained.

In the invention according to claim 6, the state of abnormal progress is evaluated from the abnormality sign information of the component equipment diagnosed based on the process information from the component equipment of the power plant,
Guidance on operation and maintenance of the power plant is output based on the evaluation result of the abnormal progress state.

According to the sixth aspect of the invention, the same operations and effects as those of the first aspect are obtained.

[0072]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of a power plant guidance providing system according to the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram showing an example in which an embodiment of the present invention is applied to a power plant using a combined cycle of a gas turbine and a steam turbine.

As shown in FIG. 1, the basic equipment of a power plant using a combined cycle of a gas turbine and a steam turbine includes a steam turbine 1, a generator 2, a boiler or an exhaust heat recovery steam generator (HRSG: HeatRes).
Covering Steam Generator or furnace 3 and gas turbine 4.

The gas turbine 4 generates combustion gas with high-pressure air and fuel, expands the combustion gas, and drives the power generator 2 with motive power generated at that time. Further, the gas turbine 4 supplies the exhaust gas as a heat source to the exhaust heat recovery steam generator 3 to generate steam. The exhaust heat recovery steam generator 3 supplies the steam to the steam turbine 1, expands the steam in the high-pressure turbine 1a divided here, and reheats the turbine exhaust after the expansion.
The reheat steam is sequentially supplied to the intermediate pressure turbine 1b.

The following are typical examples of the process control system of the power plant using the general combined cycle of the gas turbine 4 and the steam turbine 1 as described above.

That is, as the feed water heater drain system,
Feedwater heater drain level control, low pressure drain tank level control, and the like. In addition, as a water supply system, a turbine drive boiler water supply pump (T-BFP) water supply flow rate control,
Turbine-driven boiler feedwater pump (M-BFP) feedwater flow control, boiler feedwater pump recirculation flow control, drum level control, temperature control of gas conservator inlet, gas feed superheater feedwater flow control, gas feed superheater feedwater temperature control, etc. No.

The condenser system includes deaerator level control, condenser level control, condensate recirculation control flow rate, condensate recovery tank level control, low-pressure casing spray control, condenser water curtain spray control, Condenser emergency spray control, boiler feed pump booster pump (BFP /
BP) sealed water differential pressure control, boiler feedwater pump (BFP) sealed water temperature control, and the like.

Further, the bearing cooling water system includes a bearing cooling water pressure control, a bearing cooling water temperature control, a main turbine bearing oil temperature control, a BFP-T bearing oil temperature control, and an electro-hydraulic turbine controller (EHC) oil temperature control. , Generator hydrogen gas temperature control, stand pipe level control, and the like.

The makeup water system includes makeup water tank level control, makeup water tank temperature control, and the like, and the steam system includes deaerator pressure control, auxiliary steam header pressure control, and the like.
BFP-T auxiliary steam pressure control, starting air extractor steam pressure control, air extractor steam pressure control, gland steam pressure control, high pressure turbine warming steam pressure control, turbine bypass pressure control, turbine bypass spray control, turbine cooling steam Flow control, superheater spray control, reheater spray control and the like can be mentioned.

Examples of the exhaust gas system include a denitration ammonia gas flow rate control and a denitration ammonia dilution air flow rate control.

In a power plant using a combined cycle of the gas turbine plant 4 and the steam turbine plant 1, when implementing these process controls,
As general components, as shown in FIG. 1, a detection end 11 for measuring a state amount of a process, an operation end 12 for operating a state amount, and a process control operation unit 13 for executing a process control are provided. Have.

Process information and device information (such as device internal information and self-diagnosis information of a device typified by an intelligent instrument) from each component installed on site for the purpose of process control are stored in the site signal network 14.
Is input to the process control calculation unit 13 via the PC and performs normal process control, and is also input to the data collection / analysis unit 15 as abnormality sign detection means.

The data collection / analysis unit 15 collects and records process information and device information from each component device continuously, periodically or irregularly as necessary, and also detects and records the detection end 11 and the operation end 12. It calculates various characteristic curves of a single unit, detects abnormalities as a single unit, and analyzes the cause.

That is, the data collection / analysis unit 15 collects process information and diagnostic information from each component having a self-diagnosis function in the power plant, diagnoses each component based on the information, and diagnoses abnormalities. Detect signs.

The data of the data collection / analysis unit 15 and the process data and operation data of the process control operation unit 13 are input to a data analysis / evaluation operation unit 16 as abnormal progress evaluation means. Then, the data analysis / evaluation calculation unit 16 calculates a margin of continuation of the plant operation and a method of coping with the abnormality from the abnormality sign information of the data collection / analysis unit 15 and evaluates the state of the abnormal progress.

The data analysis / evaluation calculation unit 16 includes a process control calculation unit 13, a plant control device 17, a plant monitoring device 18, a charging system 19 as charging means,
A simulator unit 21, a plant engineering consulting device 22, and a plurality of terminal devices 23, which constitute a guidance output unit 20 as guidance output means, are connected via a network 24.

Here, the data analysis / evaluation calculation unit 16
The controllability of the process control is analyzed and evaluated, and the result is transmitted via the network 24 to the process control operation unit 13, the charging system 19, and the simulator unit 2 of the guidance output unit 20.
1 and the plant engineering consulting device 22 and the terminal device 23, respectively.

Further, the plant engineering consulting device 22 can perform bidirectional communication with the terminal device 23 via the network 24. Analysis / evaluation calculation unit 1
The guidance is output based on the abnormal progress evaluation result of No. 6.

That is, the plant engineering consulting apparatus 22 records plant engineering data and various information of plant equipment, and adds information of addition and correction based on these information to the result from the data analysis / evaluation calculation unit 16. The obtained data analysis / evaluation is distributed to each terminal device 23.

Further, the simulator section 21 simulates the plant operating conditions input to the plant engineering data of the plant engineering consulting device 22.

The charging system 19 charges the user of each terminal device 23 the guidance fee for the operation and maintenance of the power plant output from the plant engineering consulting device 22 to each terminal device 23.

Next, the operation of each component in the guidance providing system for a power plant according to the present embodiment will be described in detail.

First, the operation of the data collection / analysis unit 15 will be described.

The components installed on site for the purpose of process control to be input to the data collection / analysis unit 15 are the detection end 11 and the operation end 12, and the operation end 1 is a typical example.
The control valve with an intelligent positioner, which is 2, will be described as an example.

An intelligent / pneumatic converter for converting a valve opening command signal from the process control operation unit 13 into a valve driving air pressure for changing the valve opening is provided in the intelligent positioner unit of the control valve. In addition to the mechanical feedback function conventionally provided as a control valve for eliminating the deviation between the driving air pressure and the actual opening of the valve, an electric sensor for detecting a valve opening command signal from the process control calculation unit 13 and a valve opening A position sensor for detecting the degree, a pressure sensor for detecting the air pressure for driving the valve, and the like are provided.

The intelligent positioner unit is configured to be able to continuously output these state quantities, and these data are input to the data collection / analysis unit 15. The data collection / analysis unit 15
Is preliminarily input with valve specification data such as a flow characteristic and a model of a single valve. These input state quantities are processed by the data collection / analysis unit 15.

An example of the operation procedure will be described with reference to the flowchart shown in FIG.

In FIG. 2, in step S1, the output value of each sensor installed in the intelligent positioner unit is used to calculate the valve drive air pressure value with respect to the change in the opening command signal value and the response of the valve opening value to the electric / pneumatic conversion. And dynamic characteristics such as input / output signal characteristics (static characteristics) and response delay time (time constant) at each part of the mechanical feedback function unit. Also, the integrated value of the valve opening / closing cycle using the valve opening degree range as a threshold is calculated.

Next, in step S2, the static characteristics and the dynamic characteristics obtained as a result of such an operation are compared with the design values and the initial use start values of the respective characteristics which are input in advance, so that a time series is obtained. Changes (aging, failure, etc.) can also be grasped. In addition, since it is possible to grasp individual characteristic changes in units of components such as the electric / air conversion unit and the mechanical feedback function unit, there is a possibility that when this characteristic changes, it is based on what factors. Can be analyzed instantaneously (step S
3).

Further, since a database as shown in FIG. 3 is provided which shows a relationship between a combination of change patterns for each characteristic with respect to a past control valve abnormal event and each factor, each characteristic change per component unit and the database. By comparative analysis of
It is also possible to instantaneously identify an abnormal part when any abnormality occurs as a control valve.

For example, an electric sensor detects that the valve opening command signal is increasing in a ramp shape, and in conjunction with this, a pressure sensor detects that the valve driving air pressure also changes in a ramp shape. Despite the fact that the valve opening detected by the position sensor is detected to have a large dead band that does not follow the pressure signal in a certain part (in other words, the linear Is not good)
Compare with such a characteristic change pattern in the database
As a result of the collation, the event is “an increase in backlash in the mechanical system from the electric / pneumatic converter of the control valve positioner to the valve stem”, and the causes are “wear of mechanical parts in the valve positioner” and An analysis result such as "there is a high possibility of play at the valve position sensor mounting portion".

Also, despite the fact that the electric sensor detects that the valve opening command signal is increasing in a ramp shape,
If the signal of the valve driving air pressure detected by the pressure sensor and the valve opening signal detected by the position sensor are drifting, by comparing and matching with such a characteristic change pattern in the database, Is "an increase in the amount of drift of the control valve input / output characteristics", and the cause is an analysis result such as "the input / output characteristics of the control / valve positioner has a high possibility of drifting in the input / output characteristics." Is obtained (step S4).

As described above, the data collection / analysis unit 15 calculates not only the signals of the sensors such as electricity (valve opening command value), pressure (valve driving force), position (valve opening), but also calculates. It is possible to arbitrarily output various characteristic data of the control valve alone, the analysis of the analyzed abnormality of the control valve alone, and the analysis result (step S5).

By setting a threshold value for the purpose of diagnosing an abnormality sign in each data, when a data value exceeds the threshold value, it is possible to automatically output an abnormality as a sign of abnormality detection (step). S6, S7). FIG. 4 shows an example of this output item.

Next, the configuration and operation of the data analysis / evaluation calculation section 16 will be described in detail.

The data collecting / analyzing unit 15 described above calculates an intelligent detector typified by a control valve with an intelligent positioner, and detects a change and an abnormality in a single intelligent operation terminal. Only the characteristic data and abnormal data of the device alone.

The abnormality detected here is, of course, an abnormality in the operation of the process control of the plant, and it is true that it is necessary to stop the plant and take some measures.

However, it is difficult to stop the plant easily in the plant operation where the stable supply of electric power is the primary purpose, and it is necessary to stop the plant immediately and take action. Therefore, it is necessary to judge from a high-level viewpoint that stable power supply is sufficient to determine whether it is sufficient to take measures to ensure stable power supply and then stop.

[0110] In addition, in the upper judgment, not only the case of continuation of operation or the stop of operation but also the case of wanting to stop immediately, the operation of another power plant in the same power system is desired. In consideration of the situation, it may be necessary to make a judgment in a situation where power generation must be continued even if some plant operating conditions are restricted.

The data analysis / evaluation calculation unit 16 determines, from such a high-level viewpoint, how much abnormality predictive information detected by the data collection / analysis unit 15 in the plant characteristics and operation method unique to each plant in the future. The system determines whether there is room (margin) for plant operation continuation and performs an arithmetic processing on the abnormality response method. It outputs evaluation data on "tolerance of restoration date" (by when restoration must be performed in order not to develop into a plant abnormality such as a plant emergency stop that affects stable power supply).

FIGS. 5 and 6 show the configuration and the contents of the arithmetic processing for reaching such an output. FIG. 5 is a block diagram showing the inside of the data analysis / evaluation calculation unit 16, and FIG. 6 is a flowchart showing the calculation processing procedure of the data analysis / evaluation calculation unit 16.

First, as shown in FIG. 6, it is determined in step P1 whether the data collection / analysis unit 15 has output abnormality sign information. If the abnormality sign information is output, the process proceeds to step P2. move on.

In this step P2, the abnormality mode-specific progress factor evaluation section 31 shown in FIG. 5 evaluates what factor causes the abnormality to progress. The progress factor evaluation unit 31 includes a database in which factors for further increasing the degree of the abnormality are input for each abnormality mode as shown in FIGS. 7 and 8. By comparing and analyzing this database and the data from the data collection / analysis unit 15, it is possible to instantaneously analyze and output what factors promote the progress of the abnormality.

For example, in the case of "play due to wear in the positioner" or "play at the position sensor mounting portion", the amount of valve movement, that is, whether the valve moves much or not, is a major factor in the progress of the play. . In addition, in the case where the backlash is not generated over the entire valve opening range but occurs only in a certain valve opening region, not only the operation amount but also the operated valve opening region is determined. Whether or not the play matches the large valve opening area is also a major factor in the progress of the play.

The progress factor evaluator 31 for each abnormal mode can calculate what valve operation amount affects the progress of the abnormality for each abnormal mode. The correlation with the state quantity of the detection end / operation end is grasped.

For this purpose, the plant operation data collection unit 32 shown in FIG. 5 inputs the collected / analyzed data from the plant control unit 17, the plant monitoring unit 18, the process control operation unit 13 and the data collection / analysis unit 15. Then, the data as the plant and the data of the state quantities at the detecting end and the operating end are linked and stored in a database as shown in FIG. 9 (steps P3 and P4).

Next, the plant operation mode-specific impact evaluation section 33 determines whether the abnormal progress factor is classified by the plant operation mode from the result of the abnormal mode progress factor evaluation section 31 and the data of the plant operation data collection section 32. In what kind of operation mode the influence of the factor is large is evaluated.

The impact evaluation section 3 for each plant operation mode
3, the data of the plant operation data collecting unit 32 as shown in FIG.
Is statistically processed using the factors obtained in the above and the abnormal items detected by the data collection / analysis unit 15 as parameters, and converted into an evaluation database as shown in FIG. 10 for evaluation (step P5). .

Further, since the time-series change rate can be calculated from the time-series change data of the abnormal item detected by the data collecting / analyzing unit 15, a predictive line of the abnormal progress is calculated from the change rate. . However, in the case of a mere time-series change rate, the average value of various plant operating conditions is obtained. If the plant operating conditions are not constant, a grade that can be used for determination from the above-described upper viewpoint is used. There are no cases.

Therefore, from the data of the plant operation data collecting unit 32 as shown in FIG. 9, only the plant conditions showing a strong correlation with the abnormal progress factor and the abnormal item are extracted, and the extracted plant conditions are extracted. , The time-series change rate of the abnormal item data is calculated, and a predictive line of abnormal progress is calculated and output (steps P6 to P8). In the example shown in FIG. 10, the power generation output 25 → 30% having strong correlation
Data during load increase and feed pump (B) rotation speed is 50
The data at the time of 00 rpm is extracted, a predicted line is calculated and output.

Further, an abnormal progress prediction line based on the data excluding the data under the operating plant conditions having a strong correlation is calculated and output. Therefore, obtaining these three types of abnormal progress prediction lines as shown in FIG. 11 is performed when the plant is operated under the strictest plant conditions with respect to the progress of the abnormality, when it is the gentlest, and when its average is obtained. Can be provided.

This provides judgment data on whether to stop the plant immediately or to continue the operation for a while when making a judgment from the viewpoint of higher plant operation of stable power supply as described above. Will be done.

Further, in the case where the operation must be continued even with the plant operation restriction imposed, the restriction condition can be instantaneously provided as judgment data.

Next, the operation of the plant engineering consulting apparatus 22 will be described.

The plant engineering consulting apparatus 22 includes a database for plant engineering data and recovery measures for the detecting end and the operating end. Then, the plant engineering consulting device 22 transmits the operation of the power generation plant to the terminal device 23 based on the plant engineering data and the data on the recovery measures held in advance by the device 22 and the evaluation result of the data analysis / evaluation calculation unit 16. And output maintenance guidance.

The term “plant engineering data” as used herein means “system design values such as plant heat balance, equipment pressure loss values, cooling / heating efficiency values, and the like, and calculation constants for process control designed based on these plant data. And flow rate characteristic data of the operation terminal 12 (hereinafter, referred to as design plant data) "," actual various numerical values at the time of plant completion for these design values (hereinafter, referred to as actual plant data) "and" at the time of plant completion. Actual numerical values (hereinafter referred to as actual machine aging plant data) ".

As the actual plant data, the plant data from the plant control device 17 and the plant monitoring device 18 are continuously collected, and the aging status of the data can be grasped.

Although the components of the process control and the operation constants of the process control are designed based on the design plant data for designing them, the design plant data includes the performance of each component and the pressure of the piping system. Since variations such as loss conditions are previously provided as margins, actual plant data obtained from actual operation results of the plant may differ from the actual plant data. As a result, in order to be able to perform optimal control based on the actual plant data, readjustment of the operation constants of the process control is performed during the test operation, and the plant is completed.

However, for design data such as a flow rate characteristic of a control valve, which requires large-scale equipment remodeling / exchange when changing, if the controllability deviates from an appropriate range, the controllability is changed by changing the characteristic of the control valve. On the other hand, if a reasonable controllability is obtained while the control is being improved, the control valve is kept as the design plant data, and the control operation constant is readjusted. The flow rate characteristic of the control valve is represented by a numerical value (Cv) of the ease of flow with respect to the opening degree command, and this characteristic selects an optimum characteristic for the conditions of the maximum flow rate, the minimum flow rate, and the normal flow rate of the plant data.

Therefore, when there is a difference between the design plant data and the actual plant data, the maximum, minimum, and normal Cv values on the flow characteristic curve are moved without changing the flow characteristics of the control valve. Is covered by the change of the calculated value of the process control. The data at the time of completion of the plant after such adjustment is completed is the actual plant data.

Further, the operating condition values such as the maximum, minimum, and normal conditions themselves change due to the aging of the plant equipment due to the long-term operation of the plant, the remodeling of the plant system, or the change of the plant operation method. Data further departs from design plant data. The data in this state is actual machine aging plant data. These data are used in a simulator unit 21 described later.

Further, the database relating to the recovery measures of the detecting end / operating end includes, for each detecting end / operating end that has detected the abnormality sign information and the contents of the abnormality, the name of the article, model, price, delivery date, This is a database in which the construction period required for recovery work, contact information for supplies, etc. are entered.

Therefore, the plant engineering consulting device 22 includes the plant engineering data and the data relating to the recovery measures held in advance by the device 22, and the data collection / analysis unit input via the data analysis / evaluation calculation unit 16. By searching and outputting the corresponding guidance data based on the abnormality sign detection signal from 15 and the abnormality progress evaluation result, comprehensive and advanced plant engineering information can be provided.

Next, the operation of the simulator section 21 will be described.

The simulator section 21 collects data
The collected / analyzed data of the analysis unit 15 is input via the data analysis / evaluation calculation unit 16, and the plant control device 17, the plant monitoring device 18, the process control calculation unit 13
And a function of simulating the controllability of the process control operation unit 13 based on the plant operation data from the plant and the plant engineering data from the plant engineering consulting device 22.

The simulator section 21 starts the following simulation in response to the abnormality sign detection signal from the data collection / analysis section 15.

First, the data of the characteristic condition (such as a time constant) of a single detection end / operation end in the simulator section 21 is replaced with the same data in the collection / analysis data from the data collection / analysis section 15. Using the replaced data, a simulation under all operating conditions of the plant input to the plant engineering consulting apparatus 22 is executed. In this simulation, if deterioration of controllability that is unacceptable in plant operation is detected, the plant operation conditions and simulation result are output.

The threshold value of the abnormality sign detection signal is set to a value that can be used as a sign detection under all operating conditions of design plant data or actual plant data, that is, a value that does not cause a problem in process controllability. In general, the controllability of the process control does not deteriorate when the abnormality sign is detected.

However, as described above, since the data value of the actual machine changes due to the aging of the plant, etc., when the change is large, the controllability of the process control is not satisfied by the threshold value of the abnormality sign detection. Since there is a possibility that an operating condition exceeding the allowable value may occur, this simulation is executed.

If the deterioration of the controllability is detected, the control constants are automatically changed and the simulation is executed again to evaluate whether or not the change of the control constants eliminates the deterioration of the controllability. , The control constant to be eliminated is output.

The simulation with the change of the control constant is also performed by the plant engineering consulting apparatus 2.
The simulation under all the operating conditions of the plant input to 2 is executed.

Therefore, the simulator section 21 can provide more advanced plant engineering information by simulating the plant operating conditions input to the plant engineering data of the plant engineering consulting apparatus 22.

Further, by providing the charging system 19 for charging the user of the terminal device 23 for the fee of the guidance output from the guidance output unit 20 to the terminal device 23, the user can easily obtain the charging information of the guidance. It becomes possible.

As described above, according to the present embodiment, process information and device information from a plurality of devices and devices of the power generation plant (information such as device internal information and self-diagnosis information of devices represented by intelligent instruments) are obtained. Is collected continuously, periodically, and irregularly as necessary via a network 24, the controllability of process control is analyzed and evaluated, and the result is automatically distributed via the network 24. Therefore, before a process control abnormality due to an abnormality of the component such as the detection end 11, the process control operation unit 13, and the operation end 12, an abnormality sign or an abnormality of these component is captured and analyzed and evaluated. Since the result can be automatically distributed to the terminal device 35 and the information can be provided to the operator, the abnormality of the process control can be prevented beforehand,
As a result, stable supply of electric power can be realized.

In addition, since information on a response method when an abnormality occurs is automatically and promptly provided to the operator, quick and accurate recovery processing can be performed. Further, the information about the optimal adjustment corresponding to the change in the plant operation is also provided, so that the power can be efficiently supplied.

Furthermore, since the plant 24 is connected to the plant engineering consulting device 22, the result of the data analysis / evaluation calculation unit 16 selected via the network 24 and various plant engineering data including other plants are also included. Based on both, comprehensive and advanced plant engineering information can also be automatically distributed to the power plant user.

As an example of specific distribution information to the user of the terminal device 23, as shown in Example 1 and Example 2 shown in FIG. However, it is possible to provide information from the viewpoint of plant operation such as prevention of unscheduled plant stoppage and delay of plant start-up time.

Note that the present invention is not limited to the above-described embodiment, and various changes can be made. For example, in the data analysis / evaluation calculation unit 16, the data collection / analysis unit 1
5. Comparing and calculating past operation data, operation history data, and the output of the detection terminal such as flow rate, pressure, level, and temperature of the current operation data and the operation terminal output from the collected data from 5, the validity and change of the calculation constant / Adjustment necessity, change value / adjustment value and its method, timing, soundness of equipment, guidance (operation management / maintenance management / price / delivery time / construction time, contact information, etc.) may be provided.

Instead of the past operation data and operation history data, past plant characteristics (dynamic / static) and equipment characteristics (dynamic / static), and past operation cycles from start to rating to stop Output from the detection end, output from the detection end 11 calculated from other process quantities, output from the detection end 11 calculated from other process quantities, plant characteristics, and equipment characteristics Output signal of the terminal 11, past operation data / operation history data of the operation terminal 12, past operation cycle of start-up to rating-stop of the operation terminal, operation terminal 12
A specific operation state (load, etc.) from the past start to rating to stop, an output signal of the operation end 12 calculated from other past process amounts of the operation end 12, plant characteristics of the operation end 12,
The output signal of the operation terminal 12 calculated from the device characteristics may be used.

The data analysis / evaluation calculation section 16 calculates linearity, hysteresis, responsiveness, characteristics of the drive section, etc. from the input / output data of the operation end 12 and calculates the operation end 1.
Second, soundness, necessity of inspection / adjustment, and guidance (operation management / maintenance management / price / delivery date / construction date, contact information, inspection / adjustment method, etc.) may be provided.

Instead of calculating linearity, hysteresis, responsiveness, drive unit characteristics, and the like from the input / output data of the operation terminal 12, at least one of the data obtained from the collected data and the operation data (automatic collection and human system) is used. It is also possible to identify a part of the abnormality, failure, and failure (a part at a single item level where the CV does not open or the output of the pressure detector (PX) is abnormal, etc.) and provide a countermeasure.

The data analysis / evaluation calculation section 16 estimates abnormalities, faults, and failures that occur secondarily due to at least one abnormality, failure, or failure from the recorded data and the operation data (automatic sampling and human system). Then, a coping method may be provided.

Further, the data analysis / evaluation operation section 16 estimates abnormal / failure candidates based on the abnormal / failure signals of the constituent devices in the collected data and the abnormal / failure database of the devices prepared in advance.・ Provide a specific means for narrowing down the cause of the failure, specify the detailed part of the abnormality / failure from the result selected by the execution of the specific means, and provide maintenance guidance (operation management, maintenance management, price,
Delivery date / construction time, contact information, necessity of horizontal development and target equipment, etc.).

Then, the data analysis / evaluation calculation section 16 evaluates, based on the equipment data from the user, whether or not the equipment adjustment result is appropriate for the operation of the plant by comparing the design data and the collected data. Results and guidance (operation management / maintenance management / price / delivery date / construction date, contact information, etc.) may be provided.

Further, in the above embodiment, an example was described in which the present invention was applied to a power plant using a combined cycle system of a gas turbine and a steam turbine. However, the present invention is not limited to this, and other thermal power plants and nuclear power plants It is also applicable to plants.

[0157]

As described above, according to the system for providing guidance of a power plant according to the present invention, it is possible to optimally adjust the operation after the change even when the operation of the plant is changed. Before a process control abnormality caused by an abnormality of a component device occurs, it is possible to catch and deal with an abnormality sign of the component device, and to prevent an abnormality of the process control system.

Further, by outputting guidance for operation and maintenance of the power plant based on the evaluation result of the abnormal progress state, it is possible to provide information for promptly and accurately executing a response when an abnormality occurs, Power can be supplied efficiently and stably.

[Brief description of the drawings]

FIG. 1 is a configuration diagram showing an example in which an embodiment of the present invention is applied to a power plant using a combined cycle of a gas turbine plant and a steam turbine plant.

FIG. 2 is a flowchart illustrating a calculation processing procedure of a data collection / analysis unit in FIG. 1;

FIG. 3 is an explanatory view showing a database of a relationship between a combination of change patterns for each characteristic change of a valve and a factor.

FIG. 4 is an explanatory diagram showing data output items.

FIG. 5 is a block diagram showing the inside of a data analysis / evaluation calculation unit in FIG. 1;

FIG. 6 is a flowchart illustrating a calculation processing procedure of a data analysis / evaluation calculation unit in FIG. 1;

FIG. 7 is an explanatory diagram showing a database of abnormal progress factors for each abnormal mode of the valve.

FIG. 8 is an explanatory diagram showing a database of abnormality progress factors for each valve abnormality mode.

FIG. 9 is an explanatory diagram showing input data for each operation mode.

FIG. 10 is an explanatory diagram showing an evaluation database.

FIG. 11 is a diagram showing an abnormal progress prediction line.

FIG. 12 is an explanatory diagram showing a specific example of distribution information.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Steam turbine 2 Generator 4 Gas turbine 11 Detecting end 12 Operating end 13 Process control operation part 14 Field signal network 15 Data collection and analysis part (Abnormal sign detection means) 16 Data analysis and evaluation operation part (Abnormal progress evaluation means) 17 Plant control device 18 Plant monitoring device 19 Charging system (charging means) 20 Guidance output unit (Guidance output unit) 21 Simulator unit 22 Plant engineering consulting device 23 Terminal device 24 Network 31 Abnormal mode progress factor evaluation unit 32 Plant operation data collection unit 33 Impact assessment unit by plant operation mode

──────────────────────────────────────────────────続 き Continued on the front page (51) Int.Cl. ⁷ Identification symbol FI Theme coat ゛ (Reference) F02C 7/00 F02C 7/00 A 9/00 9/00 A C G05B 23/02 G05B 23/02 X 302 302T 302V G06F 17/60 110 G06F 17/60 110 138 138 19/00 110 19/00 110 F term (reference) 3G071 AB01 BA23 BA25 CA03 CA09 EA02 FA01 FA02 FA03 FA05 FA06 FA07 FA08 FA09 GA02 GA04 GA05 GA06 HA01 HA02 HA03 HA04 HA05 JA03 3G081 BA02 BA11 BB00 BC07 BD00 DA01 DA11 DA21 5H223 AA02 BB01 CC01 CC09 DD07 EE06 EE30 FF05 FF06

Claims (6)

[Claims] 1. An abnormal progress evaluation means for evaluating an abnormal progress state by receiving abnormality sign information of the component equipment diagnosed based on process information from a component equipment of a power plant, and an evaluation result of the abnormal progress state And a guidance output means for outputting guidance for operation and maintenance of the power plant based on the guidance of the power plant. 2. The system for providing guidance for a power plant according to claim 1, wherein the abnormality progress evaluation means performs a processing of a margin of continuation of plant operation and an abnormality response method based on the abnormality sign information. System to provide guidance for power plants. 3. The guidance providing system for a power plant according to claim 1, wherein the guidance output unit includes:
A power plant having a plant engineering consulting device, and outputting guidance based on plant engineering data and data on restoration measures held in advance by the device and abnormal progress evaluation results of the abnormal progress evaluation means. Guidance providing system. 4. The guidance providing system for a power plant according to claim 1, wherein the guidance output means has a simulator unit, and the simulator unit comprises:
A guidance providing system for a power plant, wherein the plant operating condition input to the plant engineering data of the plant engineering consulting apparatus is simulated. 5. The guidance providing system for a power plant according to claim 1, wherein a billing unit for billing a user of the terminal device a guidance fee output from the guidance output unit to the terminal device. A power plant guidance providing system, comprising: 6. An abnormal progress state is evaluated from abnormality sign information of the component device diagnosed based on process information from a component device of the power plant, and the power plant is evaluated based on the evaluation result of the abnormal progress state. A method for providing guidance for a power plant, comprising outputting guidance for operation and maintenance.