JP2021011992A - Boiler tube leakage early detection system and method thereof - Google Patents

Abstract

To detect a peculiar change caused by tube leakage at an early stage and specify a tube leakage occurrence place.SOLUTION: A boiler tube leakage early detection system includes: a function to analyze a signal related to behaviors of an entire plant; a function to analyze a signal related to behaviors in a boiler; and a function to analyze a signal related to behaviors of each bank in the boiler. The boiler tube leakage early detection system includes a function to diagnose occurrence of tube leakage upon detection of an abnormality in diagnosis of an analysis result on behaviors of the entire plant or upon detection of an abnormality in diagnosis of an analysis result on behaviors in the boiler, notify of the diagnostic result, and display it in a display device, and a function to extract a bank from which an abnormality is detected in diagnosis of an analysis result on behaviors of each bank in the boiler, specify it as a leakage part, notify of the diagnostic result specifying the leakage part, display it in the display device, notify of a request for on-site inspection around the specified bank together with a warning notice, and display it in the display device.SELECTED DRAWING: Figure 2

Description

The present invention relates to a boiler tube leak early detection system and a method thereof in a power plant including a boiler that exchanges heat with high-temperature combustion gas and water or steam.

Fuel (coal, oil, natural gas, etc.) is burned in the boiler to generate high-temperature combustion gas, and this high-temperature combustion gas is heat-exchanged with water or steam to generate high-temperature, high-pressure steam. Power plants that supply high-temperature, high-pressure steam generated by a boiler to a steam turbine and generate power using the power generated by rotating the steam turbine are widely used both in Japan and overseas.

A large number of heat transfer tubes are installed on the wall surface of the boiler and inside the boiler to exchange heat with the high-temperature combustion gas, and the water supplied from the heat transfer tube inlet is convective heat transfer from the combustion gas and flames. It boils under the radiant heat of the above, and becomes high-temperature, high-pressure overheated steam. Therefore, it can be said that the heat transfer tube is installed under harsh conditions.

Once a tube leak (water / steam leaks due to damage to the heat transfer tube) occurs in such a power plant, it is necessary to stop the power plant, identify the location and cause of the occurrence, and carry out repair work. .. During the period when the power plant is shut down, not only the income from selling electricity is cut off, but also the construction cost is incurred, which causes a huge economic loss for the plant owner.

In addition, the administrator needs to constantly confirm that the boiler is operating safely and stably, but the fact that failure detection is not performed indicates that the boiler is operating safely and stably. Stable operation can be continued by performing advanced operation management.

For this reason, in addition to preventive maintenance measures to prevent tube leaks, a boiler tube leak early detection system that detects plant abnormalities caused by tube leaks at an early stage in the unlikely event of a tube leak is required. There is.

In response to the demand for the boiler tube leak early detection system as described above, for example, Patent Document 1 describes vibration and abnormal noise generated at the time of tube leak, increase in water supply amount and make-up water amount, change in water vapor flow rate and temperature. Observe phenomena such as changes in the left-right deviation of the boiler of O ₂ concentration in the combustion exhaust gas, increase in fuel flow rate, changes in each draft in the boiler, rise in metal temperature, and generation of white smoke from the chimney, and are provided for each phenomenon. A boiler tube leak diagnostic system that determines whether to stop the boiler by comparing with the boundary value is described.

Further, in Patent Document 2, when an increase in the make-up water supplied to the boiler is detected, the temperature installed at the water vapor or water leak detection point (blow valve outside the boiler, drain trap discharge side, etc.) of the water supply system. A leak diagnosis system that detects the occurrence of a tube leak from a temperature change of a metal temperature sensor installed in a sensor and a boiler tube (that is, a heat transfer tube) of the boiler portion is described.

That is, in Patent Document 2, while the leak from the periphery of the place where the temperature sensor value changed (that is, outside the boiler) installed at the tube leak detection point can be detected, the temperature sensor value installed at the tube leak detection place can be detected. It is described that if there is no change in the above, it is judged as a leak into the boiler, and a tube leak into the boiler is diagnosed from the change in the metal temperature sensor value installed in the boiler tube.

Japanese Unexamined Patent Publication No. 2008-64412 Japanese Unexamined Patent Publication No. 2008-144995

However, Patent Document 1 determines whether the detected peculiar phenomenon is due to a tube leak or a change in plant operating conditions (for example, soot blower injection, change in boiler pressure, power generation output, etc.) or fuel properties. There is no description about the diagnostic method to be performed or the diagnostic method to identify the leak site (leak occurrence location).

Further, in Patent Document 2, when a tube leak occurs in a place different from the vicinity of the blow valve and the drain trap discharge side in the water supply system outside the boiler, that is, in another place outside the boiler or in the boiler. Although it is identified as a tube leak from the increase in the make-up water flow rate and the change in the metal temperature sensor value installed in the boiler tube, a specific diagnostic method for identifying the leak site (leak occurrence location) is not described.

The present invention has been made in view of the above points, and an object of the present invention is to detect a peculiar change caused by a tube leak at an early stage and to identify a location where the tube leak occurs at an early stage of the boiler tube leak. The purpose is to provide a detection system and a method thereof.

The boiler tube leak early detection system of the present invention is a system for detecting anomalies due to tube leaks in a power plant equipped with a boiler that exchanges heat between high-temperature combustion gas and water or steam in order to achieve the above object. The system analyzes signals related to the behavior of the entire plant such as power output and / or fuel flow rate and / or air flow rate and / or combustion gas flow rate and / or supply water flow rate and / or make-up water flow rate. The function and the function of analyzing signals related to the behavior in the boiler such as the flow rate and / or pressure of the combustion gas measured in the boiler and the exhaust system downstream of the boiler, and the combustion gas and water in the boiler or It has a function to analyze signals related to the behavior of each bank in the boiler, such as the metal temperature and / or heat collection amount of each bank that exchanges heat with steam, and causes an abnormality in the diagnosis of the analysis result regarding the behavior of the entire plant. When an abnormality is detected in the detection or in the diagnosis of the analysis result regarding the behavior in the boiler, it is diagnosed that a tube leak has occurred, and the boiler has a function of notifying the diagnosis result and displaying it on the display device. In the diagnosis of the analysis result of the behavior of each bank in the above, the bank that detected the abnormality is extracted and identified as the leak site, the diagnosis result that identifies this leak site is notified and displayed on the display device, and the area around the identified bank is displayed. It is characterized by having a function of notifying a request for on-site inspection together with an alarm notification and displaying it on a display device.

According to the present invention, it is possible not only to detect a peculiar change caused by a tube leak at an early stage but also to identify a location where the tube leak occurs.

In addition, it is possible to confirm that the boiler is operating safely and stably.

It is a figure which shows the process of the pulverized coal-fired power plant which is an example of the power generation process with a boiler to which Example 1 of the boiler tube leak early detection system of this invention is applied. It is a figure which shows an example of the diagnostic process flow which detects the occurrence of a tube leak in a boiler by using Example 1 of the boiler tube leak early detection system of this invention, and identifies a tube leak site. It is a figure which shows an example of the diagnostic process flow which detects the occurrence of the tube leak outside the boiler by using Example 1 of the boiler tube leak early detection system of this invention, and identifies the tube leak site. As Example 2 of the boiler tube leak early detection system of the present invention, it is a figure which shows an example of the diagnostic process flow which added the process of determining whether or not the cause of the detected abnormality is caused by the change of a plant operation. It is a figure which shows an example of the diagnostic process flow which uses learning data for the detection of abnormality, and the identification of a leak site as Example 3 in the boiler tube leak early detection system of this invention.

Hereinafter, the boiler tube leak early detection system of the present invention and its method will be described based on the illustrated examples. In each embodiment, the same reference numerals are used for the same components.

FIG. 1 shows a process of a pulverized coal-fired power plant, which is an example of a power generation process equipped with a boiler to which the first embodiment of the boiler tube leak early detection system of the present invention is applied. Further, FIGS. 2 and 3 show an example of a diagnostic process flow for detecting the occurrence of a tube leak in the boiler using the first embodiment of the boiler tube leak early detection system of the present invention and identifying the tube leak site.

First, the process of a pulverized coal-fired power plant equipped with a boiler to which the first embodiment of the boiler tube leak early detection system of the present invention is applied will be described with reference to FIG.

As shown in FIG. 1, the coal 9 is pulverized into pulverized coal by a mill 10 and supplied from the burner 11 to the boiler 2 together with the combustion air 7. The pulverized coal in the boiler 2 burns with oxygen in the combustion air 7, and the combustion gas 13 is generated.

The combustion air 7 is divided into a plurality of systems by the push-in fan 8 and supplied into the boiler 2. This is to promote the combustion of pulverized coal and suppress the amount of nitrogen oxides generated in the combustion gas 13. In this embodiment, the combustion air 7 is separately supplied to the burner 11 and the air supply port 12 provided on the downstream side thereof.

The high-temperature combustion gas 13 heats the boiler water cooling wall 6 constituting the outer peripheral wall of the boiler 2 and a plurality of heat exchangers such as a superheater 3, a reheater 4, and an economizer 5 installed in the boiler 2. The replacement lowers the temperature and discharges it from the boiler 2. In this heat exchange, the sensible heat of the combustion gas 13 is used to heat the water or steam flowing inside the boiler water cooling wall 6 and other heat exchangers. In this embodiment, an example in which one superheater 3 and one reheater 4 are installed is shown, but a plurality of these heat exchangers may be installed.

The combustion gas 13 discharged from the boiler 2 is cooled by heat exchange with the combustion air 7 in the air heater 15 after the nitrogen oxides in the combustion gas 13 are removed by the denitration device 14, and the combustion gas is cooled by the dust collector 16. Solids such as ash accompanying 13 are removed. The combustion gas 13 exiting the dust collector 16 is discharged from the chimney 19 after passing through the attraction fan 17 and then removing the sulfur content by the desulfurization device 18.

On the other hand, the feed water 20 exiting the condenser 29 is boosted by the feed water pump 21, supplied to the bank of the boiler 2 via the feed water heater 22, and becomes high-temperature and high-pressure superheated steam by heat exchange with the combustion gas 13. ..

In this embodiment, the water supply 20 supplied to the bank passes through the economizer 5, the boiler water cooling wall 6, and the superheater 3, and becomes the main steam 23 at high temperature and high pressure.

Currently, in most of the power plants 1 operating in Japan, the main steam 23 is in a supercritical state, the pressure is 24 MPaG or more, and the temperature reaches 530 ° C. or more.

The main steam 23 that has exited the superheater 3 is supplied to the high-pressure turbine 24 and then again supplied to the reheater 4 in the boiler 2. After being heated by heat exchange with the combustion gas 13 in the reheater 4, it is supplied as reheated steam 25 to the medium pressure turbine 26 and the low pressure turbine 27, and then returned to normal temperature water in the condenser 29. The power generated by the rotation of the high-pressure turbine 24, the medium-pressure turbine 26, and the low-pressure turbine 27 is converted into electric power by the generator 28.

Further, in the vicinity of the water supply system, the main steam system, the reheated steam system and the steam turbine (general term for the high pressure turbine 24, the medium pressure turbine 26 and the low pressure turbine 27), a part of the water supplied as the water supply 20 becomes drain or the like. It is released to the outside of the system. The make-up water 30 is supplied in the condenser 29 in order to secure the flow rate of the water supply 20.

If a leak occurs around the above-mentioned water supply system, main steam system, reheated steam system and steam turbine, and water or steam leaks out of the system from the pipe or heat transfer pipe, the water supply flow rate, make-up water flow rate, main steam flow rate or re-steam It is expected that the measured values such as the hot steam flow rate will change.

A diagnostic process that captures these changes in flow rate and detects abnormalities due to leakage is effective.

Among the above-mentioned measured values of water and steam flow rates, the supply water flow rate and the make-up water flow rate are preferable as signals for monitoring the behavior of the entire power plant 1, and the make-up water flow rate is considered to be a measurement value that makes it easy to grasp the change in behavior. .. This is to increase the make-up water flow rate to adjust the supply water flow rate to the desired value when the amount of water or water vapor released to the outside of the system increases due to the leak, and the make-up water flow rate is smaller than the supply water flow rate. Therefore, it is possible to catch the signs of change in flow rate at an early stage.

However, when the flow rate of leaked water or water vapor is small, it may be difficult to detect signs of change in flow rate due to leakage at an early stage simply by monitoring and analyzing the above-mentioned supply water flow rate and make-up water flow rate.

Therefore, a diagnostic process that captures the physical phenomenon caused by leaks from water or steam pipes or heat transfer tubes and the effects of leaks from a broad perspective is effective. For example, by monitoring and analyzing signals related to the behavior of the entire power generation plant 1 such as power generation output, fuel flow rate, air flow rate, and combustion exhaust gas flow rate in addition to the supply water flow rate and make-up water flow rate, an abnormality occurs due to a leak. It is a process of diagnosing the presence or absence of.

This is because the leakage occurs, the temperature of the combustion gas in the boiler decreases, the fuel flow rate supplied to the boiler 2 to obtain the desired power output, and the air flow rate that closely correlates with the fuel flow rate increase. This is because it is assumed that the leaked water vapor mixes with the combustion gas 13 to increase the flow rate of the combustion gas.

Next, the process of diagnosing the behavior to be monitored and analyzed by expanding it from the entire power plant 1 is also effective. For example, the behavior in the boiler 2 and the behavior of heat absorption in each bank in the boiler 2 are also monitored and analyzed, and another phenomenon caused by water or water vapor leaking into the boiler 2 is also captured to generate a leak. It is possible to detect the changes caused by the above early and with high accuracy.

This embodiment shows a diagnostic method that focuses on changes in the flow rate of combustion gas as a method for monitoring and analyzing the behavior in the boiler 2.

As described above, it is assumed that the flow rate of the combustion gas increases due to the leak into the boiler 2. The physical quantity that deeply correlates with the flow rate of the combustion gas is measured not only in the boiler 2 but also in the exhaust gas treatment system on the downstream side of the boiler 2. When the flow rate of combustion gas in the boiler 2 increases, a phenomenon showing an increase in the flow rate of combustion gas can be captured on the downstream side of the boiler 2 in conjunction with the increase in the flow rate of combustion gas in the boiler 2. If the increase in the combustion gas flow rate in the boiler 2 is not due to the increase in the fuel flow rate or the air flow rate charged into the boiler 2, it can be identified that the cause is the occurrence of tube leak.

Further, as another method for monitoring and analyzing the behavior in the boiler 2, a diagnostic method focusing on the change in the pressure of the combustion gas 13 in the boiler 2 can be considered.

When water or water vapor leaks into the boiler 2, it is assumed that the pressure of the combustion gas 13 increases in the exhaust gas treatment system in the boiler 2 and on the downstream side.

This is because, as described above, the water supply 20 is boosted by the water supply pump 21, and the pressure difference from the combustion gas 13 in the boiler 2 operated at a pressure close to normal pressure is very large. By capturing the peculiar pressure rise in the exhaust gas treatment system in the boiler 2 or downstream, it is possible to accurately detect the peculiar pressure rise due to the occurrence of a tube leak in the boiler 2.

Next, a diagnostic method for monitoring and analyzing the behavior of heat absorption in each bank in the boiler 2 will be described.

When the heat transfer tube of the bank in the boiler 2 is damaged and a tube leak occurs and water or water vapor is blown into the boiler 2, the temperature distribution of the combustion gas 13 flowing in the boiler 2 changes.

Therefore, it is conceivable that the distribution of the metal temperature measured in large numbers on the surface of the heat transfer tube of each bank changes. Further, in the damaged heat transfer tube, the flow rate of water or water vapor flowing in the heat transfer tube is extremely reduced on the downstream side of the damaged part due to the ejection of water or water vapor from the damaged part.

Therefore, when a metal thermometer is installed in the damaged heat transfer tube, it is conceivable that the metal temperature at that location behaves peculiarly.

However, the metal temperature is affected by ash adhesion and peeling to the heat transfer tube, the effect of disturbance such as turbulence of the flow of the combustion gas 13 in the boiler 2, and the soot blower that is injected irregularly to suppress ash adhesion. It is also influenced by the operation side of the boiler 2, such as the properties of coal, the flow rate of coal, the flow rate of air, and the operation patterns of the burners 11 and the air supply port 12 installed in the boiler 2.

Therefore, it is difficult to accurately detect the change due to the occurrence of tube leak only by monitoring and analyzing the behavior of the metal temperature.

Therefore, the amount of heat collected in each bank is calculated using measured values such as the flow rate and temperature of water or water vapor at the entrance and exit of each bank, the flow rate of spray applied for temperature adjustment, and the metal temperature of the heat transfer tube, and a comprehensive diagnosis is made. The method is effective.

As described above, as a diagnostic method for accurately grasping the phenomenon that occurs when a tube leak occurs in the boiler 2, there are a plurality of diagnostic methods such as the behavior of the entire power plant 1, the behavior in the boiler 2, and the behavior of each bank in the boiler 2. By diagnosing the behavior, grasping the phenomenon that occurs in the boiler 2 due to the occurrence of tube leak from various angles, and comprehensively diagnosing based on a lot of information, the occurrence of anomalies can be detected early and accurately. be able to. In addition, in the behavior diagnosis of each bank, it is possible to identify the site where the leak has occurred by extracting the bank in which the abnormality is detected.

On the other hand, when a tube leak occurs outside the boiler 2, it is possible to detect an abnormality in the behavior of the entire power plant 1 as in the case where a tube leak occurs inside the boiler 2.

However, changes in the behavior of each bank in the boiler 2 such as the flow rate and pressure of the combustion gas and the behavior of each bank in the boiler 2 such as the metal temperature and heat collection amount of each bank should not be detected. Therefore, if it can be diagnosed that no abnormality is detected in either the behavior inside the boiler 2 or the behavior of each bank, it can be diagnosed that a leak has occurred outside the boiler 2.

By using the above-mentioned diagnostic method, it is possible to construct a boiler tube leak early detection system that can detect the occurrence of an abnormality due to a tube leak both inside and outside the boiler 2 with high accuracy at an early stage and can also identify the leak site.

Examples of a specific diagnostic process in the boiler tube leak early detection system of this embodiment are shown in FIGS. 2 and 3, respectively.

First, an example of a diagnostic process flow when a tube leak occurs in the boiler 2 will be described with reference to FIG.

As shown in FIG. 2, the boiler tube leak early detection system is input with signal data 101 related to the behavior of the entire power plant 1, and the analysis 102 regarding the behavior of the entire power plant 1 is executed. As the signal data to be input in the signal data input 101 related to the behavior of the entire power generation plant 1, the above-mentioned power generation output, water supply flow rate, make-up water flow rate, fuel flow rate, air flow rate, combustion gas flow rate and the like are suitable.

Using the obtained analysis result, the diagnosis 103 of the analysis result regarding the behavior of the entire power plant 1 is performed. In this diagnosis 103, it is compared with a preset threshold value and past operation data (that is, a range of actual values), it is evaluated whether there is a change in the correlation between signal data, a physical index or dimensionless. A method such as converting to a number and evaluating it can be considered.

When an abnormality caused by a tube leak is detected in the behavior of the entire power plant 1, a tube leak occurs to the users and managers of the boiler tube leak early detection system and the operators and managers of the power plant 1. A function and a process will be provided to notify the diagnosis result by e-mail, voice, warning sound, etc., and to display / notify on the display device in the boiler tube leak early detection system.

In addition, even after an abnormality is detected in the diagnosis of the analysis result regarding the behavior of the entire power plant 1 and the tube leak is diagnosed, the input of all signals, the analysis and the diagnosis of the analysis result are continued, and the analysis result and the diagnosis result are obtained. It has the function and process of storing and accumulating.

When an abnormality is detected in the behavior of the entire power plant 1, the signal data input 104 related to the behavior in the boiler 2 is input, and the analysis 105 regarding the behavior in the boiler 2 is executed. As the signal data to be input at the input 104 of the signal data related to the behavior in the boiler 2, the above-mentioned flow rate and pressure of the combustion gas are suitable. For example, if there are other measurement items that change due to tube leak, such as the water concentration in the combustion gas, it is advisable to add them to the input signal data.

Using the obtained analysis result, the diagnosis 106 of the analysis result regarding the behavior in the boiler 2 is performed. Even in this diagnosis, if an abnormality caused by a tube leak is detected, it is diagnosed that a tube leak has occurred in the boiler 2. A function and a process of notifying the occurrence of the tube leak as in the case of detection and displaying the diagnosis result on the display device in the boiler tube leak early detection system system are provided.

When an abnormality is detected in both the behavior of the entire power plant 1 and the behavior in the boiler 2, signal data input 107 related to the behavior of each bank in the boiler 2 is input, and the behavior of each bank in the boiler 2 is performed. Analyze 108 for.

The signal data related to the behavior of each bank is the entire bank obtained from the measured values such as the metal temperature installed in the heat transfer tube, the flow rate and temperature of water or water vapor at the entrance and exit of each bank, the spray flow rate, and the metal temperature. The amount of heat collected from the above is suitable.

Using the obtained analysis result, the diagnosis 109 of the analysis result regarding the behavior of each bank in the boiler 2 is performed. When the peculiar behavior is recognized and the extraction 110 of the bank in which the abnormality is detected is successful, it is consistent with the diagnosis result that the abnormality is detected in the behavior of the entire power plant 1 and the behavior in the boiler 2.

In this case, it is preferable to notify the occurrence of the tube leak in the boiler 2 and the specified leak portion (that is, the name of the leaked bank) as an alarm and display it on the display device in the boiler tube leak early detection system. In this case, adding a message function to prompt the site inspection around the identified leak site is also useful from the viewpoint of improving the efficiency of the site inspection work and the planning of the repair work.

The above-mentioned behavior of the entire power plant 1, behavior in the boiler 2, analysis of the behavior of each bank in the boiler 2, and diagnosis based on the analysis result are performed by an information processing device (for example, a personal computer), and the diagnosis result is displayed. Display on the device.

It should be noted that the abnormality is not always detected in the order of the behavior of the entire power plant 1, the behavior in the boiler 2, and the behavior of each bank in the boiler 2 (the order of detecting the abnormality is the behavior of the entire power plant 1 and the behavior in the boiler 2). (The order is not necessarily the behavior of each bank in the boiler 2), and it is also assumed that the diagnosis may be redone. Therefore, it is necessary to use a boiler tube leak early detection system that automatically continues data input, analysis, and diagnosis regarding these three behaviors unless instructed or operated by the user.

In addition, when no abnormality is found in the diagnosis 109 of the analysis result regarding the behavior of each bank in the boiler 2 and the bank in which the abnormality is detected cannot be identified (that is, when the leak site cannot be identified), power is generated. It is preferable to use a boiler tube leak early detection system that returns to the analysis 102 regarding the behavior of the entire plant 1 and diagnoses again until the diagnosis result can be confirmed.

Next, an example of the diagnostic process flow when a tube leak occurs outside the boiler 2 will be described with reference to FIG.

In the example shown in FIG. 3, the boiler tube leak early detection system is subjected to input 101 of signal data related to the behavior of the entire power plant 1, and analysis 102 regarding the behavior of the entire power plant 1 is executed. The signal data to be input is preferably the power generation output, the supply water flow rate, the make-up water flow rate, the fuel flow rate, the air flow rate, the combustion gas flow rate, and the like described with reference to FIG. Using the obtained analysis result, the diagnosis 103 of the analysis result regarding the behavior of the entire power plant 1 is performed. When an abnormality caused by a tube leak is detected in the behavior of the entire power plant 1, a tube leak occurs to the users and managers of the boiler tube leak early detection system and the operators and managers of the power plant 1. A function and process will be provided to notify the diagnosis result by e-mail, voice, warning sound, etc., and to display it on the display device of the boiler tube leak early detection system.

When an abnormality is detected in the behavior of the entire power plant 1, the signal data input 104 related to the behavior in the boiler 2 is input, and the analysis 105 regarding the behavior in the boiler 2 is executed. As the signal data to be input at the input 104 of the signal data related to the behavior in the boiler 2, the above-mentioned flow rate and pressure of the combustion gas are suitable. Using the obtained analysis result, the diagnosis 106 of the analysis result regarding the behavior in the boiler 2 is performed. If the abnormality caused by the tube leak is not detected in this diagnosis, the behavior of each bank in the boiler 2 is diagnosed assuming that the tube leak occurs outside the boiler 2.

In diagnosing the behavior of each bank in the boiler 2, as in FIG. 2, input 107 of signal data related to the behavior of each bank in the boiler 2 is performed, and analysis 108 regarding the behavior of each bank in the boiler 2 is performed. Execute. The signal data related to the behavior of each bank is the total yield of each bank obtained from the measured values such as the metal temperature installed in the heat transfer tube, the flow rate and temperature of water or water vapor at the entrance and exit of each bank, the spray flow rate, and the metal temperature. The amount of heat and the like is suitable.

Using the obtained analysis result, the diagnosis 109 of the analysis result regarding the behavior of each bank in the boiler 2 is performed. When a tube leak occurs outside the boiler 2, no abnormality should be observed in the behavior of each bank in the boiler 2 as well as the behavior inside the boiler 2. If no abnormality is found in the behavior of each bank in the boiler 2, no tube leak has occurred inside the boiler 2, and it is confirmed by the diagnosis result that the tube leak has occurred outside the boiler 2.

In this case, it is preferable to notify the diagnosis result that the tube leak has occurred outside the boiler 2 and display it on the display device of the boiler tube leak early detection system. In addition, adding a message function for prompting on-site inspection (leak inspection) of water and steam pipes and heat transfer pipes outside the boiler 2 is also useful as on-site operation support.

On the other hand, if an abnormality is detected in the diagnosis 109 of the analysis result regarding the behavior of each bank in the boiler 2 even though the abnormality is not detected in the behavior in the boiler 2, the behavior of the entire power plant 1 is detected. It is preferable to use a boiler tube leak early detection system that returns to the analysis 102 and repeats the diagnosis until the diagnosis result can be confirmed.

In order to deal with such cases, data input for the above-mentioned three diagnoses (diagnosis based on the analysis results regarding the behavior of the entire power plant 1, the behavior in the boiler 2, and the behavior of each bank in the boiler 2). The analysis and diagnosis should be performed by a boiler tube leak early detection system that automatically continues unless instructed or operated by the user.

According to the boiler tube leak early detection system equipped with the above diagnostic process, the initial response at the site (strengthening the plant monitoring system, preparation for repair work, etc.) by detecting the abnormality caused by the occurrence of the tube leak at an early stage. Is expected to have the effect of being able to start ahead of schedule.

Further, by identifying the leak portion in the boiler 2 with the boiler tube leak early detection system of this embodiment, it is possible to improve the efficiency of work such as confirmation of the leak portion and estimation of the leak factor by on-site inspection. Further, the judgment as to whether or not the operation of the power plant can be continued is earlier than before, and the power plant 1 can be stopped at a stage where the water or steam pipe or the heat transfer pipe is slightly damaged. By shortening the work range and construction period for inspection and repair of damaged parts, the downtime period of the power plant 1 can be shortened, which is expected to have the effect of reducing the economic loss of the owner of the power plant 1 and ensuring a stable power supply. ..

FIG. 4 shows an example of a diagnostic process flow including a process of determining whether or not the cause of the detected abnormality is due to a change in plant operation as Example 2 of the boiler tube leak early detection system of the present invention. ..

That is, in this embodiment shown in FIG. 4, when an abnormality is detected in the diagnostic process of the boiler tube leak early detection system described in the first embodiment, it is determined whether or not the cause of the abnormality is due to a change in plant operation. This is an example of the diagnostic process when a judgment process is added.

As shown in FIG. 4, the boiler tube leak early detection system is input with signal data 101 related to the behavior of the entire power plant 1, and the analysis 102 regarding the behavior of the entire power plant 1 is executed. Using the obtained analysis result, the diagnosis 103 of the analysis result regarding the behavior of the entire power plant 1 is performed. When an abnormality is detected in the behavior of the entire power plant 1, diagnosis 111 is performed to determine whether or not the cause of this abnormality is due to a change in plant operation.

In this diagnosis, the behavior and command values of operating condition signals (for example, power generation output, fuel flow rate, air flow rate, water supply flow rate, etc.) that deeply correlate with the signal data that detected the abnormality were confirmed, and was there any change in the plant operating conditions? Check if it is not.

If it is diagnosed that there is no change in the plant operating conditions, it is diagnosed that an abnormality has occurred due to a tube leak, and the diagnosis result is notified and displayed on the display device of the system as in FIG. On the other hand, if it is diagnosed that the cause is a change in plant operation, the analysis 102 regarding the behavior of the entire power plant 1 is continued.

When an abnormality is detected in the behavior of the entire power plant 1 without changing the plant operating conditions, analysis 105 regarding the behavior in the boiler 2 is executed in the same manner as in FIG. 2, and the obtained analysis result is used in the boiler 2. Diagnosis 106 of the analysis result regarding the behavior of is carried out. When an abnormality is detected in this diagnosis, diagnosis 111 is performed to determine whether or not the cause is a change in plant operation.

In this diagnosis, the behavior and command values of operating condition signals (for example, power generation output, fuel flow rate, air flow rate, pressure setting, etc.) that deeply correlate with the signal data that detected the abnormality were confirmed, and was there any change in the plant operating conditions? Check if it is not. If it is diagnosed that there is no change in the plant operating conditions, it is diagnosed that an abnormality has occurred due to a tube leak, and the diagnosis result is notified and displayed on the display device of the system as in FIG. On the other hand, if it is diagnosed that it is caused by a change in plant operation, the analysis 105 regarding the behavior in the boiler 2 is continued.

When an abnormality is detected in both the behavior of the entire power plant 1 and the behavior in the boiler 2, it is diagnosed that a tube leak has occurred in the boiler 2 as in FIG. This diagnosis result is notified in the same manner as when the occurrence of the tube leak is detected, and is also displayed on the display device of the boiler tube leak early detection system. Further, the analysis 108 regarding the behavior of each bank in the boiler 2 is executed, and the diagnosis 109 of the analysis result regarding the behavior of each bank in the boiler 2 is performed using the obtained analysis result. If abnormal behavior is observed, diagnosis 111 is performed to determine whether the cause is a change in plant operation.

In this diagnosis, the behavior and command values of operating condition signals (for example, spray flow rate and presence / absence of soot blower injection) that deeply correlate with the behavior of the bank that detected the abnormality are confirmed, and whether or not the plant operating conditions have changed. To confirm. When it is diagnosed that there is no change in the plant operating conditions, it means that the extraction 110 of the bank in which the abnormality is detected is successful, and the diagnosis result that the abnormality has occurred due to the tube leak in the boiler 2 is confirmed, and the same as in FIG. , The leaked part identified in the diagnosis result is notified and displayed on the display device of the system.

Even when a tube leak occurs outside the boiler 2 shown in FIG. 3 of the first embodiment, it is advisable to add a process for considering whether or not it is caused by a change in plant operation, as in the above procedure. If it is diagnosed that it is caused by a change in plant operation, the analysis for the diagnosis will be continued.

According to the boiler tube leak early detection system provided with the diagnostic process of the present embodiment, the same effect as that of the first embodiment can be obtained, and of course, the signal data changes and the tube leak occurs due to the change of the operating conditions. It is possible to make a diagnosis that distinguishes it from the occurrence of abnormalities caused by the above, and it is expected to have the effect of improving the accuracy of the diagnosis.

FIG. 5 shows an example of a diagnostic process flow using learning data for detecting an abnormality and identifying a leak site as Example 3 in the boiler tube leak early detection system of the present invention.

That is, in this embodiment shown in FIG. 5, in the analysis of the operation data carried out by the boiler tube leak early detection system described in the first embodiment, the operation data acquired when fuels having the same or similar fuel properties are used. Is an example of a diagnostic process in which a process of inputting and analyzing the training data into the system in advance, selecting a normal range of each signal, and diagnosing the diagnostic data using this normal range as a criterion is added.

As shown in FIG. 5, in the analysis 102 regarding the behavior of the entire power plant 1 carried out by the boiler tube leak early detection system, the input 112 of the signal learning data related to the behavior of the entire power plant 1 is performed in advance, and the signal data Select the normal range of. In the diagnosis 103 of the analysis result regarding the behavior of the entire power plant 1, the diagnostic data input in the input 101 of the signal data related to the behavior of the entire power plant 1 is determined based on whether or not it falls within the normal range selected above. Diagnose the presence or absence of abnormalities.

Next, also in the analysis 105 regarding the behavior in the boiler 2, the input 113 of the learning data of the signal related to the behavior in the boiler 2 is performed, and the normal range is selected in advance. In the diagnosis 106 of the analysis result regarding the behavior in the boiler 2, the presence or absence of abnormality in the diagnostic data input in the input 104 of the signal data related to the behavior in the boiler 2 is determined based on whether or not it falls within the normal range selected above. To diagnose.

Further, in the analysis 108 regarding the behavior of each bank in the boiler 2, the input 114 of the learning data of the signal related to the behavior of each bank in the boiler 2 is input, and the normal range is selected in advance. In the diagnosis 109 of the analysis result regarding the behavior of each bank in the boiler 2, the input 107 of the signal data related to the behavior of each bank in the boiler 2 is input based on whether or not it falls within the normal range selected above. Diagnose the presence or absence of abnormalities in the diagnostic data.

Even when a tube leak occurs outside the boiler 2 shown in FIG. 3 of the first embodiment, a process for inputting training data in advance is added in the same manner as in the above procedure, and it is determined whether or not it falls within the preselected normal range. It is good to use the process of diagnosing as a standard.

By adopting such a boiler tube leak early detection system, it is possible to obtain the same effect as that of the first embodiment and to determine the occurrence of an abnormality based on the past operation results. In addition, by inputting the latest operation data, it is expected to have the effect of obtaining an accurate diagnosis result of the presence or absence of an abnormality in consideration of the deterioration state of the equipment.

Furthermore, if no abnormality is detected, it indicates that the boiler is operating safely and stably. Therefore, stable operation can be continued by this system that constantly monitors.

The present invention is not limited to the above-described examples, and includes various modifications. The above-described embodiment describes the embodiment of the present invention in an easy-to-understand and detailed manner, and is not necessarily limited to the embodiment having all the described configurations. For example, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment. It is also possible to add / delete / replace a part of the configuration of each embodiment with another configuration.

The anomaly diagnosis system of the present invention is applicable to a power plant provided with a boiler that exchanges heat with hot combustion gas and water or steam.

1 ... power plant, 2 ... boiler, 3 ... superheater, 4 ... reheater, 5 ... coal saver, 6 ... boiler water cooling wall, 7 ... combustion air, 8 ... push fan, 9 ... coal, 10 ... mill, 11 ... burner, 12 ... air supply port, 13 ... combustion gas, 14 ... denitration device, 15 ... air heater, 16 ... dust collector, 17 ... attraction fan, 18 ... desulfurization device, 19 ... chimney, 20 ... water supply, 21 ... Water supply pump, 22 ... Water supply heater, 23 ... Main steam, 24 ... High pressure turbine, 25 ... Reheat steam, 26 ... Medium pressure turbine, 27 ... Low pressure turbine, 28 ... Generator, 29 ... Boiler, 30 ... Make-up water, 101 ... Input of signal data related to the behavior of the entire plant, 102 ... Analysis of the behavior of the entire plant, 103 ... Diagnosis of analysis results related to the behavior of the entire plant, 104 ... Signal data related to the behavior in the boiler Input, 105 ... Analysis of behavior in the boiler, 106 ... Diagnosis of analysis results related to behavior in the boiler, 107 ... Input of signal data related to the behavior of each bank in the boiler, 108 ... Behavior of each bank in the boiler Analysis of, 109 ... Diagnosis of analysis results regarding the behavior of each bank in the boiler, 110 ... Extraction of banks that detected abnormalities, 111 ... Diagnosis of whether or not it is caused by changes in plant operation, 112 ... For the behavior of the entire plant Input of learning data of related signals, 113 ... Input of learning data of signals related to behavior in the boiler, 114 ... Input of learning data of signals related to the behavior of each bank in the boiler.

Claims (25)

A system that detects abnormalities due to tube leaks in a power plant equipped with a boiler that exchanges heat between high-temperature combustion gas and water or steam.
The system has a function of analyzing signals related to the behavior of the entire plant such as power generation output and / or fuel flow rate and / or air flow rate and / or combustion gas flow rate and / or supply water flow rate and / or make-up water flow rate.
A function to analyze signals related to the behavior in the boiler such as the flow rate and / or pressure of the combustion gas measured in the boiler and the exhaust system downstream of the boiler, and
It has a function to analyze signals related to the behavior of each bank in the boiler, such as the metal temperature and / or the amount of heat collected in each bank that exchanges heat with combustion gas and water or water vapor in the boiler.
If an abnormality is detected in the diagnosis of the analysis result regarding the behavior of the entire plant, or if an abnormality is detected in the diagnosis of the analysis result regarding the behavior in the boiler, it is diagnosed that a tube leak has occurred and the diagnosis result is notified. Has a function to display on the display device,
In the diagnosis of the analysis result regarding the behavior of each bank in the boiler, the bank in which an abnormality is detected is extracted and identified as a leak site, and the diagnosis result that identifies this leak site is notified and displayed on the display device, and the identified bank. A boiler tube leak early detection system characterized by having a function of notifying a request for on-site inspection of the surrounding area together with an alarm notification and displaying it on a display device. The boiler tube leak early detection system according to claim 1.
A function to input the operation data acquired when using fuels having the same or similar fuel properties to the boiler tube leak early detection system as learning data in advance.
A function to analyze the training data and select the normal range of each signal,
A boiler tube leak early detection system characterized by having a function of diagnosing diagnostic data using the normal range as a determination criterion. The boiler tube leak early detection system according to claim 2.
In the analysis of the behavior of the entire plant, the learning data of the signal related to the behavior of the entire plant is input to select the normal range of the signal data, and in the diagnosis of the analysis result regarding the behavior of the entire plant, the above is performed. Using whether or not the signal data falls within the normal range is used as a criterion, the presence or absence of abnormality in the diagnostic data input by inputting the signal data related to the behavior of the entire plant is detected.
In the analysis of the behavior in the boiler, the learning data of the signal related to the behavior in the boiler is input to select the normal range of the signal data, and in the diagnosis of the analysis result regarding the behavior in the boiler, the above Using whether or not the signal data falls within the normal range is used as a criterion, the presence or absence of abnormality in the diagnostic data input by inputting the signal data related to the behavior in the boiler is detected.
In the analysis of the behavior of each bank in the boiler, the learning data of the signal related to the behavior of each bank in the boiler is input to select the normal range of the signal data, and the normal range of the signal data is selected. In the diagnosis of the analysis result regarding the behavior, the presence or absence of abnormality in the diagnostic data input by the input of the signal data related to the behavior of each bank in the boiler is detected based on whether or not the signal data falls within the normal range. Boiler tube leak early detection system characterized by The boiler tube leak early detection system according to any one of claims 1 to 3.
If no abnormality is detected in the diagnosis of the analysis result regarding the behavior of the entire plant, the analysis result regarding the behavior in the boiler, or the analysis result regarding the behavior of each bank in the boiler, the behavior is related to each behavior. A boiler tube leak early detection system characterized by having a function of returning to signal analysis and continuing analysis on the behavior of the entire plant and the behavior of each bank in the boiler. The boiler tube leak early detection system according to any one of claims 1 to 3.
While the abnormality was detected in the diagnosis of the analysis result regarding the behavior of the entire plant, the abnormality was detected in both the diagnosis of the analysis result regarding the behavior in the boiler and the diagnosis of the analysis result regarding the behavior of each bank in the boiler. If not, it is diagnosed that a tube leak has occurred outside the boiler, the diagnosis result is notified and displayed on the display device, and the water and steam pipes and heat transfer tubes outside the boiler are inspected for leaks. Boiler tube leak early detection system characterized by having a function of notifying the request together with the above notification and displaying it on a display device. The boiler tube leak early detection system according to any one of claims 1 to 3.
Diagnosis of analysis results regarding the behavior of each bank in the boiler when an abnormality is detected in the diagnosis of the analysis result regarding the behavior of the entire plant and also in the diagnosis of the analysis result regarding the behavior in the boiler. When an abnormality is detected in, the bank is extracted to identify the leak site, and the diagnosis result that identifies the leak site is notified and displayed on the display device, and a request for on-site inspection around the identified bank is requested. A boiler tube leak early detection system characterized by having a function of notifying together with a notification and displaying it on a display device. The boiler tube leak early detection system according to any one of claims 1 to 3.
Even after an abnormality is detected in the diagnosis of the analysis result regarding each behavior and the tube leak is diagnosed, the input of all signals, the analysis and the diagnosis of the analysis result are continued, and the analysis result and the diagnosis result are saved. Boiler tube leak early detection system characterized by having a function of accumulating. The boiler tube leak early detection system according to any one of claims 1 to 3.
It is determined whether or not the cause of the abnormality due to the tube leak is caused by the change in plant operation, and if it is determined that the cause is not caused by the change in plant operation, it is diagnosed that the abnormality is caused by the tube leak and the diagnosis result is used. A boiler tube leak early detection system characterized by having a function of notifying and displaying on a display device, returning to the analysis of signals related to each behavior, and continuing the analysis of each behavior. The boiler tube leak early detection system according to claim 8.
It is determined whether or not the cause of the abnormality due to the tube leak is caused by the change in the plant operation, and if it is determined that the cause is caused by the change in the plant operation, the boiler characterized by continuing the analysis on each behavior. Tube leak early detection system. When detecting anomalies due to tube leaks in a power plant equipped with a boiler that exchanges heat between hot combustion gas and water or steam.
A process of analyzing signals related to the behavior of the entire plant such as power generation output and / or fuel flow rate and / or air flow rate and / or combustion gas flow rate and / or supply water flow rate and / or make-up water flow rate.
A step of analyzing signals related to the behavior in the boiler such as the flow rate and / or pressure of the combustion gas measured in the boiler and the exhaust system downstream of the boiler, and
A step of analyzing signals related to the behavior of each bank in the boiler, such as the metal temperature and / or heat collection amount of each bank that exchanges heat with combustion gas and water or water vapor in the boiler, is performed.
If an abnormality is detected in the diagnosis of the analysis result regarding the behavior of the entire plant, or if an abnormality is detected in the diagnosis of the analysis result regarding the behavior in the boiler, it is diagnosed that a tube leak has occurred and the diagnosis result is notified. Display on the display device,
In the diagnosis of the analysis result regarding the behavior of each bank in the boiler, the bank in which the abnormality was detected was extracted and identified as the leak site, and the diagnosis result specifying the leak site was notified and displayed on the display device to identify the leak site. A boiler tube leak early detection method characterized in that a request for on-site inspection around the bank is notified together with an alarm notification and displayed on a display device. The boiler tube leak early detection method according to claim 10.
The process of inputting the operation data acquired when using fuels with the same or similar fuel properties to the boiler tube leak early detection system as learning data in advance.
The process of analyzing the learning data and selecting the normal range of each signal,
A boiler tube leak early detection method, characterized in that a step of diagnosing diagnostic data using the normal range as a determination criterion is further performed. The boiler tube leak early detection method according to claim 11.
In the analysis of the behavior of the entire plant, the learning data of the signal related to the behavior of the entire plant is input to select the normal range of the signal data, and in the diagnosis of the analysis result regarding the behavior of the entire plant, the above is performed. Using whether or not the signal data falls within the normal range is used as a criterion, the presence or absence of abnormality in the diagnostic data input by inputting the signal data related to the behavior of the entire plant is detected.
In the analysis of the behavior in the boiler, the learning data of the signal related to the behavior in the boiler is input to select the normal range of the signal data, and in the diagnosis of the analysis result regarding the behavior in the boiler, the above Using whether or not the signal data falls within the normal range is used as a criterion, the presence or absence of abnormality in the diagnostic data input by inputting the signal data related to the behavior in the boiler is detected.
In the analysis of the behavior of each bank in the boiler, the learning data of the signal related to the behavior of each bank in the boiler is input, the normal range of the signal data is selected in advance, and each bank in the boiler is selected. In the diagnosis of the analysis result regarding the behavior of the signal data, whether or not the signal data falls within the normal range is used as a criterion, and the presence or absence of abnormality in the diagnostic data input by inputting the signal data related to the behavior of each bank in the boiler is determined. Boiler tube leak early detection method characterized by detection. The boiler tube leak early detection method according to any one of claims 10 to 12.
If no abnormality is detected in the diagnosis of the analysis result regarding the behavior of the entire plant, the analysis result regarding the behavior in the boiler, or the analysis result regarding the behavior of each bank in the boiler, the behavior is related to each behavior. A boiler tube leak early detection method comprising a step of returning to signal analysis and continuing analysis of the behavior of the entire plant and the behavior of each bank in the boiler. The boiler tube leak early detection method according to any one of claims 10 to 12.
While the abnormality was detected in the diagnosis of the analysis result regarding the behavior of the entire plant, the abnormality was detected in both the diagnosis of the analysis result regarding the behavior in the boiler and the diagnosis of the analysis result regarding the behavior of each bank in the boiler. If not, it is diagnosed that a tube leak has occurred outside the boiler, the diagnosis result is notified and displayed on the display device, and the water and steam pipes and heat transfer tubes outside the boiler are inspected for leaks. A boiler tube leak early detection method, which comprises a step of notifying the request together with the above notification and displaying it on a display device. The boiler tube leak early detection method according to any one of claims 10 to 12.
Diagnosis of the analysis result regarding the behavior of each bank in the boiler when an abnormality is detected in the diagnosis of the analysis result regarding the behavior of the entire plant and also in the diagnosis of the analysis result regarding the behavior in the boiler. When an abnormality is detected in, the bank is extracted to identify the leak site, and the diagnosis result that identifies the leak site is notified and displayed on the display device, and a request for on-site inspection around the identified bank is requested. A boiler tube leak early detection method characterized by having a step of notifying and displaying on a display device together with the notification. The boiler tube leak early detection method according to any one of claims 10 to 12.
Even after an abnormality is detected in the diagnosis of the analysis result related to each behavior and the tube leak is diagnosed, the input of all signals, the analysis and the diagnosis of the analysis result are continued, and the analysis result and the diagnosis result are saved. A boiler tube leak early detection method characterized by having a step of accumulating. The boiler tube leak early detection method according to any one of claims 10 to 12.
It is determined whether or not the cause of the abnormality due to the tube leak is caused by the change in the plant operation, and if it is determined that the cause is not caused by the change in the plant operation, it is diagnosed that the abnormality is caused by the tube leak and the diagnosis result. A boiler tube leak early detection method comprising a step of notifying and displaying on a display device, returning to the analysis of signals related to each behavior, and continuing the analysis of each behavior. The boiler tube leak early detection method according to claim 17.
A boiler characterized in that it is determined whether or not the cause of the abnormality due to the tube leak is caused by a change in plant operation, and if it is determined that the cause is caused by a change in plant operation, the analysis regarding each of the above behaviors is continued. Tube leak early detection method. The boiler tube leak early detection system according to claim 1.
Signal data related to the behavior of the entire plant is input to the boiler tube leak early detection system to analyze the behavior of the entire plant, and the analysis result obtained in the analysis is used to perform the analysis of the plant. Diagnose the analysis results regarding the overall behavior
When an abnormality caused by a tube leak is detected in the behavior of the entire plant, the person concerned with the boiler tube leak early detection system is notified of the diagnosis result of the occurrence of the tube leak, and the boiler tube leak early detection system It also has a function to display and notify on the display device.
When an abnormality is detected in the behavior of the entire plant, signal data related to the behavior in the boiler is input to perform an analysis on the behavior in the boiler, and the analysis result obtained by the analysis is used. Using, the analysis result regarding the behavior in the boiler is diagnosed.
When an abnormality caused by the tube leak is detected in the behavior in the boiler, it is diagnosed that a tube leak has occurred in the boiler, and the diagnosis result is transmitted to the person concerned with the boiler tube leak early detection system. It has a function to notify the diagnosis result that a tube leak has occurred, and to display and notify it on the display device of the boiler tube leak early detection system.
When an abnormality is detected in both the behavior of the entire plant and the behavior in the boiler, signal data related to the behavior of each bank in the boiler is input to relate to the behavior of each bank in the boiler. The analysis is performed, and the analysis results obtained in the analysis are used to diagnose the analysis results regarding the behavior of each bank in the boiler.
In the diagnosis of the analysis result regarding the behavior of each bank in the boiler, peculiar behavior was observed, and when the bank in which the abnormality was detected was extracted, it was said that the behavior of the entire plant and the behavior in the boiler were abnormal. It has a function of notifying the occurrence of a tube leak and the identified leak site in the boiler as an alarm and displaying it on the display device of the boiler tube leak early detection system in accordance with the diagnosis result.
If no abnormality is found in the diagnosis of the analysis result regarding the behavior of each bank in the boiler and the bank in which the abnormality is detected cannot be identified, the analysis returns to the analysis regarding the behavior of the entire plant and the diagnosis is performed again. Boiler tube leak early detection system characterized by having a function to repeat until it can be confirmed. The boiler tube leak early detection system according to claim 19.
Even after an abnormality is detected in the diagnosis of the analysis result regarding the behavior of the entire plant and the tube leak is diagnosed, the input of all signals, the analysis and the diagnosis of the analysis result are continued, and the analysis result and the diagnosis result are saved and accumulated. Boiler tube leak early detection system characterized by having the function of The boiler tube leak early detection system according to claim 1.
Signal data related to the behavior of the entire plant is input to the boiler tube leak early detection system to analyze the behavior of the entire plant, and the analysis result obtained in the analysis is used to perform the analysis of the plant. Diagnose the analysis results regarding the overall behavior
When an abnormality caused by a tube leak is detected in the behavior of the entire plant, the person concerned with the boiler tube leak early detection system is notified of the diagnosis result of the occurrence of the tube leak, and the boiler tube leak early detection system It also has a function to display and notify on the display device.
When an abnormality is detected in the behavior of the entire plant, signal data related to the behavior in the boiler is input to perform an analysis on the behavior in the boiler, and the analysis result obtained by the analysis is used. It is used to diagnose the analysis result regarding the behavior inside the boiler, and if no abnormality caused by the tube leak is detected in this diagnosis, it is assumed that a tube leak occurs outside the boiler. Diagnose the behavior of each bank in the boiler and
In the diagnosis of the behavior of each bank in the boiler, signal data related to the behavior of each bank in the boiler is input to perform an analysis on the behavior of each bank in the boiler, and the analysis is obtained. Using the analysis results obtained, the analysis results regarding the behavior of each bank in the boiler are diagnosed.
If no abnormality is found in the behavior of each bank in the boiler, there is no tube leak in the boiler, and the diagnosis result that the tube leak has occurred outside the boiler is confirmed, and the tube outside the boiler. It has a function to notify the diagnosis result that a leak has occurred and to display it on the display device of the boiler tube leak early detection system.
If an abnormality is detected in the diagnosis of the analysis result regarding the behavior of each bank in the boiler even though no abnormality is detected in the behavior in the boiler, the process returns to the analysis regarding the behavior of the entire power plant. A boiler tube leak early detection system characterized by having a function of re-diagnosing and repeating until the diagnosis result can be confirmed. The boiler tube leak early detection system according to claim 1.
Signal data related to the behavior of the entire plant is input to the boiler tube leak early detection system to analyze the behavior of the entire plant, and the analysis result obtained in the analysis is used to perform the analysis of the plant. Diagnosis of the analysis result regarding the overall behavior is performed, and when an abnormality is detected in the behavior of the entire plant, it is diagnosed whether or not the cause of this abnormality is due to a change in plant operation.
When it is diagnosed that there is no change in the conditions of the plant operation, it is diagnosed that an abnormality has occurred due to the tube leak, and the diagnosis result is displayed on the display device of the boiler tube leak early detection system, while the plant. If it is diagnosed that it is caused by a change in operation, it has a function to continue the analysis on the behavior of the entire plant.
When an abnormality is detected in the behavior of the entire plant without changing the conditions of the plant operation, the behavior in the boiler is analyzed, and the analysis result obtained in the analysis is used in the boiler. Diagnosis of the analysis result regarding the behavior is performed, and if an abnormality is detected by this diagnosis, it is diagnosed whether or not it is caused by the change in the plant operation.
When it is diagnosed that there is no change in the conditions of the plant operation, it is diagnosed that an abnormality has occurred due to the tube leak, and the diagnosis result is displayed on the display device of the boiler tube leak early detection system, while the above If it is diagnosed that it is caused by a change in plant operation, it has a function to continue the analysis of the behavior in the boiler.
When an abnormality is detected in both the behavior of the entire plant and the behavior in the boiler, it is diagnosed that a tube leak has occurred in the boiler, and the diagnosis result is notified in the same manner as when the tube leak has been detected. It also has a function to display on the display device of the boiler tube leak early detection system.
An analysis of the behavior of each bank of the boiler is performed, and the analysis result obtained by this analysis is used to diagnose the analysis result of the behavior of each bank in the boiler, and the diagnosis is performed in the boiler. If abnormal behavior is found in the behavior of each bank, a diagnosis is made to see if it is caused by the change in plant operation.
When it is diagnosed that there is no change in the plant operation conditions, the bank in which the abnormality is detected is extracted, the diagnosis result of the abnormality occurrence due to the tube leak is confirmed in the boiler, and the leak site specified in the diagnosis result is confirmed. Is displayed on the display device of the boiler tube leak early detection system, and on the other hand, when it is diagnosed that it is caused by the change in the plant operation, it has a function to continue the analysis on the behavior of each bank of the boiler. Boiler tube leak early detection system featuring. The boiler tube leak early detection system according to any one of claims 19 to 21.
In the analysis of the behavior of the entire plant, the learning data of the signal related to the behavior of the entire plant is input to select the normal range of the signal data, and in the diagnosis of the analysis result regarding the behavior of the entire plant, the selection is performed. A boiler tube leak early detection system characterized in that the presence or absence of abnormality in the diagnostic data input by inputting signal data related to the behavior of the entire plant is diagnosed based on whether or not it falls within the normal range. The boiler tube leak early detection system according to any one of claims 19 to 21.
In the analysis of the behavior in the boiler, the learning data of the signal related to the behavior in the boiler is input to select the normal range, and in the diagnosis of the analysis result regarding the behavior in the boiler, the selected normal range is selected. A boiler tube leak early detection system characterized in that the presence or absence of abnormality in the diagnostic data input by inputting signal data related to the behavior in the boiler is diagnosed based on whether or not the boiler enters. The boiler tube leak early detection system according to any one of claims 19 to 21.
In the analysis regarding the behavior of each bank in the boiler, the normal range is selected by inputting the learning data of the signal related to the behavior of each bank in the boiler, and the analysis result regarding the behavior of each bank in the boiler. The diagnosis is characterized in that the presence or absence of abnormality in the diagnostic data input by inputting the signal data related to the behavior of each bank in the boiler is diagnosed based on whether or not it falls within the selected normal range. Boiler tube leak early detection system.

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