KR102044487B1 - System for Boiler Tube Leak Detection and Method for Detecting the same - Google Patents

Abstract

According to an embodiment of the present invention, a method of sensing a leak from a boiler tube in a coal-fired power plant includes: a grouping information registration step in which a BLTD management server managing a BTLD system for sensing a leak from a boiler tube in a coal-fired power plant through an acoustic sensor registers and stores grouping information grouping the entire area of a boiler into a plurality of groups; a work group identification step in which the BTLD management server identifies a group for soot blow work removing matter accumulated on the outer surface of the boiler tube as a work group; an adjacent group identification step in which the BTLD management server identifies a group adjacent to the work group as an adjacent group; a nonadjacent group identification step in which the BTLD management server identifies the other groups in the entire area of the boiler except for the work group and the adjacent group as nonadjacent groups; and a selective leak sensing monitoring step in which the BTLD management server performs selective leak sensing monitoring on at least one of the work group, the adjacent group and the nonadjacent groups. Therefore, the present invention is capable of efficiently sensing leakage from a boiler tube even in the middle of soot blow work.

Description

System for Boiler Tube Leak Detection and Method for Detecting the same}

The present invention relates to a boiler tube leak detection system and method, and to a coal plant boiler tube leak detection system and method for detecting a leak in a boiler tube of a coal power plant.

In general, a large boiler for power generation using coal as a fuel drives a turbine generator by high temperature, high pressure steam energy generated by burning fuel in a boiler. As a fuel is burned in a boiler furnace, ash as a combustion material is a multi-row boiler. It accumulates on the outer surface of the tube, and this accumulation interferes with the heat transfer of the boiler tube, so a soot blower is periodically installed to remove the accumulation on the outer surface of the boiler tube by spraying high pressure air or high pressure steam. .

Meanwhile, a BTLD (Boiler Tube Leak Detection) system for detecting leakage of a boiler tube in a coal power plant is implemented. BTLD system is a system that detects the leakage of the boiler tube by attaching an acoustic sensor throughout the boiler. Because boiler tubes are hot and difficult to detect with thermometers, the BTLD system uses a sound sensor to detect boiler tube leaks.

However, a large noise is generated by shooting steam during the sootblowing operation, and the sootblowing noise makes it impossible to detect the leak of the boiler tube through the sound sensor. Therefore, in the field of sootblowing, the BTLD system, which uses a sound sensor to detect boiler tube leaks, is not used.

Therefore, conventionally, even if the sootblowing work for each zone, because the entire BTLD system is turned off (turn off), there is a problem that the boiler tube leakage accident occurs in other areas inside the boiler during the sootblowing work.

Korean Utility Model 20-0323404

An object of the present invention is to provide a system and method for detecting a leak of a boiler tube for each zone even if a soot blow is performed for each boiler zone of a coal power plant.

In addition, the present invention provides a system and method for efficiently detecting boiler tube leakage in a soot blow progress zone even if a soot blow is performed.

According to an embodiment of the present invention, a BLTD operation server operating a BTLD system that performs leak detection monitoring for detecting a leak of a boiler tube of a coal power plant through a sound sensor registers grouping information in which the entire boiler area is grouped into a plurality of groups. Receiving and storing grouping information registration process; A workgroup identification process of identifying, by the BTLD operation server, a group in which a sootblowing operation for removing deposits on an outer surface of a boiler tube is performed as a workgroup; A neighbor group identifying process of the BTLD operation server identifying a group adjacent to the work group as an adjacent group; A non-adjacent group identifying process of the BTLD operation server identifying a non-adjacent group other than the work group and the adjacent group in the entire boiler area; And a leak detection selective monitoring process, wherein the BTLD operation server selectively performs leak detection monitoring on any one or more groups among the work group, the adjacent group, and the non-adjacent group.

The leak detection selective monitoring process may operate in a first detection mode in which the leak detection monitoring for leak detection of the boiler tube is not performed for the workgroup, and the leak detection monitoring is performed for the adjacent and non-adjacent groups. have.

The leak detection selective monitoring process may operate in a second detection mode in which the leak detection monitoring for leak detection of the boiler tube is not performed for the workgroup and the adjacent group, and the leak detection monitoring is performed for the non-adjacent group. have.

When the non-adjacent group operates in the second sensing mode in a state where there are a plurality of non-adjacent groups, some of the non-adjacent groups do not perform leak detection monitoring for leaking a boiler tube, and other groups of the non-adjacent groups perform leak detection monitoring Can be done.

The leak detection selective monitoring process operates in a third detection mode for performing leak detection monitoring for boiler tube leak detection of the entire area of the boiler tube including the workgroup, the adjacent group, and the non-adjacent group. When operating in the third detection mode, the moving average value detection method for detecting whether the boiler tube leaks according to the pattern difference of the sound sensing value, the temperature change detection method for detecting whether the boiler tube leaks according to the boiler tube temperature change, the flow into the boiler Boiler tube leakage can be detected in a workgroup using any one of the boiler water inflow detection methods that detect whether the boiler tube leaks according to the water inflow.

The moving average value detection method may be performed when the average value of the sound sensing values during the moving average value calculation period exceeds a preset sound warning threshold value when a preset starting time of the detection to a current detection time is a moving average value calculation period. It is possible to detect the leakage of boiler tubes in the group.

The moving average value calculation period may be characterized in that the moving average value calculation period during the soot blow operation using the long soot blower is different from the moving average value calculation period during the soot blow operation using the short soot blower.

The temperature change detection method includes a plurality of temperature sensors at the top of the boiler so as to be spaced apart from the boiler tube, such that the rate of temperature change detected by the temperature sensor provided at the top of the boiler of the work group exceeds a preset temperature warning threshold. The leakage of boiler tubes in the workgroup can be detected.

The boiler water inflow detection method may detect the occurrence of leakage of the boiler tube in the workgroup when the water inflow flowing into the workgroup exceeds a preset water inflow warning threshold.

According to the embodiment of the present invention, by grouping by the boiler zone, the boiler tube leakage can be detected even when the soot blow. In addition, according to the embodiment of the present invention, even if the soot blow proceeds, it is possible to efficiently detect the leak of the boiler tube in the soot blow progress zone.

1 is a block diagram of a coal power plant boiler tube leak detection system according to an embodiment of the present invention.
Figure 2 is a block diagram of a coal power plant boiler tube leak detection system according to an embodiment of the present invention.
3 is a cross-sectional view of the boiler according to the embodiment of the present invention cut in the longitudinal axis of z-z '.
4 is a flowchart illustrating a process of detecting a leak of a coal fired boiler tube according to an embodiment of the present invention.
5 is an exemplary diagram in which a boiler internal region is grouped according to an embodiment of the present invention.
6 is an exemplary diagram showing adjacent groups and non-adjacent groups when the second group is a work group according to an embodiment of the present invention.
7 is a diagram showing a leak detection monitoring target group in the first detection mode operation according to an embodiment of the present invention.
8 is a view showing a leak detection monitoring target group in the second detection mode operation according to an embodiment of the present invention.
9 is a graph showing changes in noise decibel values during sootblowing and during a leakage accident.

Advantages and features of the present invention, and methods for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various forms, and is provided to fully inform the scope of the invention to those skilled in the art. The invention is defined only by the scope of the claims. In addition, in the following description of the present invention, if it is determined that related related technologies and the like may obscure the gist of the present invention, detailed description thereof will be omitted.

1 is a block diagram of a coal power plant boiler tube leak detection system according to an embodiment of the present invention, Figure 2 is a block diagram of a coal power plant boiler tube leak detection system according to an embodiment of the present invention, Figure 3 is a present invention Sectional section of the boiler according to the embodiment of the incision cut along the longitudinal axis of z-z '.

Coal power plant boiler tube leak detection system of the present invention, as shown in FIG. 1 includes a boiler 100 having a plurality of sound sensors 120 and soot blower 110, and BTLD operation server 200 Can be.

The boiler 100 is a device for driving a turbine generator by high temperature, high pressure steam energy generated by burning coal using coal as a fuel.

As shown in FIGS. 2 and 3, the boiler 100 is provided with a plurality of sound sensors 120 and a soot blower 110. In addition, a temperature sensor 130 may be added.

Sound sensor 120 (Acoustic Sensor) is a sensor that detects the leakage of the boiler tube by attaching a plurality of acoustic sensors (Acoustic Sensor) throughout the boiler.

The soot blower 110 is a unit which removes the accumulation on the outer surface of the boiler tube by periodically injecting high pressure air or high pressure steam, and is controlled by a soot blower controller. The soot blower 110 is composed of a lance tube having a spray nozzle formed at the end, a driving device for rotating and transferring the lance tube, and a support for supporting the lance tube on the boiler furnace wall. Here, the support is formed with a cylinder protruding in the center, the side end portion is made of a bolt groove to support it on the boiler furnace wall. The cylinder of the support should be made so that its inner diameter is slightly larger than the outer diameter of the lance tube for the lance tube to run through.

The operating state of the soot blower 110 of this configuration is as follows. That is, the lance tube is installed in each of the plurality of through-holes formed in the furnace furnace wall surface, the lance tube is reciprocated back and forth to the space between the steam generating tube in the boiler furnace and the compressed air or steam at the front end during the water blower operation It is sprayed through the formed nozzles to separate and scatter the accumulation accumulated on the outer surface of the steam generating tube.

On the other hand, a large noise is generated because the steam is shot during the soot blow operation, it is impossible to detect the boiler tube leakage through the sound sensor due to the soot blow operation noise. Therefore, in the field of sootblowing, the BTLD system, which uses a sound sensor to detect boiler tube leaks, is not used.

Therefore, conventionally, even if the sootblowing work for each zone, because the entire BTLD system is turned off (turn off), there is a problem that the boiler tube leakage accident occurs in other areas inside the boiler during the sootblowing work.

The BTLD operation server 200 is an operation server for Boiler Tube Leak Detection (BTLD), and communicates with each sound sensor 120 to receive a sound sensing value, and also communicates with a soot blower controller to communicate with each soot blower ( Receive the operation state of 110 in real time. The communication means may be a wired communication method such as Ethernet, Universal Serial Bus, IEEE1394, serial communication, and parallel communication, and infrared radiation. Wireless communication schemes such as, Bluetooth, home RF (Radio Frequency), and wireless LAN may be used.

Therefore, the BTLD operation server 200 performs a leak detection monitoring for detecting a leak of the boiler tube of the coal power plant through the sound sensor 120.

However, since the steam is shot during the sootblowing operation, a large noise is generated. Due to the sootblowing operation noise, it is impossible to detect the leak of the boiler tube through the sound sensor. Conventionally, even if a sootblowing is carried out by zone, boiler tube leakage may occur in other areas of the boiler during sootblowing because the entire BTLD system is turned off.

BTLD operation server 200 of the present invention, the group of the entire boiler area in a plurality of groups, a work group which is a group that performs a soot blow operation to remove the accumulation of the outer surface of the boiler tube, and adjacent to the work group Leak detection monitoring is performed by selecting adjacent groups and nonadjacent groups that are not adjacent to the workgroup.

In other words, the BTLD production server,

Leak detection monitoring for boiler tube leak detection is not performed for the workgroup, and a first sensing mode for performing leak detection monitoring for adjacent and non-adjacent groups, or boiler tube leakage for a workgroup and an adjacent group. Do not perform leak detection monitoring for the detection, the second detection mode to perform leak detection monitoring for non-adjacent groups, and boiler tubes for the entire area of the boiler tube, including workgroups, adjacent groups, and non-adjacent groups. It operates in any one of the third detection mode for performing a leak detection monitoring for leak detection.

Furthermore, a plurality of boilers are provided at the top of the boiler so as to be spaced apart from the boiler tube, and the temperature sensor 130 measures the temperature. When operating in the third sensing mode, the temperature sensor 130 is provided at the boiler top of the workgroup. Detects the leakage of boiler tubes in the workgroup if the rate of temperature change detected exceeds a preset temperature warning threshold.

Hereinafter, the operation description will be described in detail with reference to FIGS. 4 to 9.

4 is a flowchart illustrating a process for detecting a leak of a boiler power plant in a coal power plant according to an exemplary embodiment of the present invention. FIG. 5 is an exemplary diagram in which boiler internal regions are grouped according to an exemplary embodiment of the present invention. According to an exemplary embodiment, an example of displaying a neighboring group and a non-adjacent group when the second group is a work group, and FIG. 7 illustrates a leak detection monitoring target group during the first sensing mode operation according to an exemplary embodiment of the present invention. FIG. 8 is a diagram illustrating a leak detection monitoring target group in a second sensing mode operation according to an embodiment of the present invention, and FIG. 9 is a diagram illustrating changes in noise decibel values during a sootblowing operation and a leakage accident. It is a graph shown.

A BLTD operation server operating a BTLD system that performs leak detection monitoring for detecting a leak of a boiler tube of a coal power plant through the sound sensor 120 may detect a leak of a coal power plant boiler tube as illustrated in FIG. 4. A workgroup that identifies the workgroup, which is a group in which the grouping information registration process of registering and storing grouping information in which the entire boiler area is grouped into a plurality of groups and a sootblowing operation for removing accumulations on the outer surface of the boiler tube are performed. A process for identifying a neighboring group for identifying a neighboring group that is a group adjacent to the work group, a process for identifying a non-adjacent group for identifying a non-adjacent group other than the work group and the neighboring group in the entire boiler area; Selectively for any one or more of the following groups: workgroup, adjacent, and non-adjacent Description may include the step of performing the detection monitoring. This will be described below.

The grouping information registration process is performed by a BLTD operation server operating a BTLD system that performs leak detection monitoring for detecting a leak of a boiler tube of a coal power plant through a sound sensor 120. The process of registering and storing information. For example, as shown in FIG. 5, the interior of the boiler is divided into various forms and grouped, and the grouping information is registered and stored. For reference, the grouping assignment may be assigned by an administrator, and the grouping may be changed and allocated.

The workgroup identification process is a process in which the BTLD operation server 200 identifies as a workgroup a group in which a sootblowing operation for removing accumulations on the outer surface of the boiler tube is performed. For reference, information on the group in which the soot blow operation is performed may be provided in real time from the soot blow controller.

The non-adjacent group identifying process is a process in which the BTLD operation server 200 identifies a group adjacent to the work group as a non-adjacent group.

The non-adjacent group identification process is a process in which the BTLD operation server 200 identifies the remaining groups except the work group and the non-adjacent group in the entire boiler area as the non-adjacent group.

For example, as shown in FIG. 6, when the sootblowing work is performed in the fourth group, the fourth group is determined as the work group, and the third and fifth groups adjacent to the fourth group are adjacent to the fourth group. The remaining first, second, six, seven, and eight groups are determined to be non-adjacent groups.

In the leak detection selective monitoring process, the BTLD operation server 200 selectively performs leak detection monitoring on any one or more groups among a workgroup, a non-adjacent group, and a non-adjacent group. In other words, the inside of the boiler is grouped to selectively perform leak detection monitoring on a part of the group.

The leak detection selective monitoring may be composed of three modes, namely, a first sensing mode, a second sensing mode, and a third sensing mode as follows.

The first detection mode is a detection mode in which a leakage detection monitoring for leaking a boiler tube is not performed for a workgroup, and a leakage detection monitoring is performed for adjacent and non-adjacent groups. Therefore, as shown in FIG. 7, when the fourth group is performing a sootblowing operation, the fourth group, which is a working group, does not perform leakage detection monitoring, and the third and fifth groups, which are adjacent groups, and a non-adjacent group. Leak detection monitoring should be performed for the remaining 1,2,6,7,8 groups.

The second detection mode does not perform leak detection monitoring for boiler tube leak detection for the workgroup and the adjacent group, and leak detection monitoring for the non-adjacent group. Therefore, as shown in FIG. 8, when the fourth group is performing a sootblowing operation, the fourth group, which is a work group, and the third and fifth groups, which are adjacent groups, do not perform leak detection monitoring. Leak detection monitoring should be performed for the remaining 1,2,6,7,8 groups.

Here, when operating in the second sensing mode, when there are a plurality of non-adjacent groups, some of the non-adjacent groups do not perform leak detection monitoring for leaking boiler tubes, and the remaining groups of the non-adjacent groups detect leakage. Monitoring can be performed. That is, boiler tube leakage detection can be made selectively among non-adjacent groups.

The third sensing mode is a mode in which leak detection monitoring for boiler tube leak detection is performed on the entire area of the boiler tube including the work group, the adjacent group, and the non-adjacent group. In addition to the adjacent and nonadjacent groups, boiler tube leak detection is also made for the workgroup.

However, when the boiler tube leak detection in the work group in which the soot blow operation is performed, the sound sensing is not made accurately due to the steam sound during the soot blow operation, the boiler tube leak detection may not be made correctly.

In consideration of this point, the present invention is to detect the leak in the following three ways when the leak detection of the boiler tube in the workgroup. That is, when operating in the third detection mode, by detecting any one of the moving average value detection method, the temperature change detection method, the boiler water inflow detection method, to detect whether the boiler tube leaks in the work group.

In detail below, the first detection method, the moving average value detection method, detects whether or not the boiler tube leaks according to the pattern difference of the sound sensing value. It is a method of detecting in consideration of the characteristic that the sound sensor value is greatly hunted during sootblowing. Referring to the sensing data graph (Fig. 9 (a)) measuring the noise decibels during sootblowing and the sensing data graph (Fig. 9 (b)) measuring the noise decibels when the boiler tube leaked, a sootblowing and an accident occurred. It can be seen that there is a difference between the sound sensing data patterns of the poem. It can be seen that the noise decibels in sootblowing have a vibrational form due to the generation of sootblowing, but the noise decibels in the leakage of a boiler tube have an increasing form.

Therefore, in the case of sootblowing, it is possible to detect the leakage of boiler tube by using the moving average value of the data of the BTLD sensor to monitor the tube leakage. That is, when the preset detection start time to the current detection time is the moving average value calculation period, when the average value of the sound sensing values during the moving average value calculation period exceeds the preset sound warning threshold value, The occurrence of leakage can be detected. In the moving average value calculation period, the moving average value calculation period during the soot blow operation using the long soot blower is different from the moving average value calculation period during the soot blow operation using the short soot blower.

Specifically, the average value of the selected moving average is 80 db in the last specific period (long soot blower: 12 minutes, short soot blower: 3 minutes) in the operation data. If exceeded, a boiler tube leak has occurred. In addition, the long soot blower takes about 9-10 minutes for the selected period during the selected moving average calculation period, and the short soot blower takes about 1-2 minutes for the soot blow time. In the case of minute and short soot blowers, the selected moving average value for the last three minutes is calculated.

On the other hand, the second method, the temperature change detection method is to detect whether the boiler tube leaks in accordance with the boiler tube temperature change. A plurality of temperature sensors 130 are provided at the top of the boiler so as to be spaced apart from the boiler tube, so that the temperature change rate detected by the temperature sensor 130 provided at the top of the boiler in the workgroup exceeds the preset temperature warning threshold. This is to detect the leakage of boiler tube in the group.

The temperature sensor 130 may not be directly installed in the boiler tube due to a temperature problem inside the boiler. Therefore, the tube temperature is measured at the low heat temperature at the top of the boiler to use the processed data. Due to the attachment position of the temperature sensor 130 and the processing of the data, it may be difficult to precisely monitor, but it may be used to supplement the BTLD monitoring method by monitoring the tube temperature of the corresponding part of the boiler 100 during the sootblowing.

Meanwhile, the third method of detecting boiler water inflow is a method of detecting whether the boiler tube leaks according to the amount of water inflow into the boiler 100. When the water inflow into the workgroup exceeds the preset water inflow warning threshold, the boiler tube leaks in the workgroup.

Water is introduced into the tube in order to generate steam by heating the water to a high temperature in the boiler 100, when the boiler tube leakage accident, the control equipment recognizes that the inflow of water in the tube is insufficient to increase the water flow rate. Therefore, by constantly monitoring the water flow rate flowing into the boiler 100 may be used as a complementary monitoring method that can recognize the tube leakage.

The embodiments in the above description of the present invention are presented by selecting the most preferred examples to help those skilled in the art from the various possible examples, and the technical spirit of the present invention is not necessarily limited or limited only by the embodiments. However, various changes, modifications, and other equivalent embodiments may be made without departing from the technical spirit of the present invention.

100: boiler
110: suit blower
120: sound sensor
130: temperature sensor
200: BTLD Operation Server

Claims (9)

BLTD operation server that operates BTLD system that performs leak detection monitoring to detect boiler tube leakage of coal power plant through sound sensor, registers and stores grouping information that grouped entire boiler area into multiple groups process;
A workgroup identification process of identifying, by the BTLD operation server, a group in which a sootblowing operation for removing deposits on an outer surface of a boiler tube is performed as a workgroup;
A neighbor group identifying process of the BTLD operation server identifying a group adjacent to the work group as an adjacent group;
A non-adjacent group identifying process of the BTLD operation server identifying a non-adjacent group other than the work group and the adjacent group in the entire boiler area; And
And a leak detection selective monitoring process of performing, by the BTLD operation server, leak detection monitoring selectively for any one or more groups among the work group, the adjacent group, and the non-adjacent group.
The leakage detection selective monitoring process,
A first detection mode for performing leakage detection monitoring for boiler tube leakage detection for the workgroup, and performing leakage detection monitoring for the adjacent and non-adjacent groups;
Or a second detection mode in which the leak detection monitoring for leak detection of the boiler tube is not performed for the workgroup and the adjacent group, and the leak detection monitoring is performed for the non-adjacent group.
Or a coal-fired power plant boiler operating in any one of a third detection mode for performing leak detection monitoring for boiler tube leak detection for the entire area of the boiler tube including the workgroup, adjacent group, and non-adjacent group. How to detect tube leaks.
delete delete The method of claim 1, wherein when operating in the second sensing mode in a state where there are a plurality of non-adjacent groups,
Some non-adjacent groups do not perform leak detection monitoring for boiler tube leak detection, while others in the non-adjacent group perform leak detection monitoring.
The method according to claim 1,
When operating in the third detection mode, the moving average value detection method for detecting whether the boiler tube leakage according to the pattern difference of the sound sensing value, the temperature change detection method for detecting the boiler tube leakage in accordance with the boiler tube temperature change, boiler Coal power plant boiler tube leak detection method for detecting whether the boiler tube leakage in the work group by using any one of the boiler water inflow detection method for detecting whether the boiler tube leaks according to the incoming water inflow.
The method of claim 5, wherein the moving average value detection method,
Leakage of the boiler tube in the workgroup when the average value of the sound sensing value during the moving average value calculation period exceeds the preset sound warning threshold value when the preset detection start time point to the current detection time point is a moving average value calculation period. Coal power plant boiler tube leak detection method characterized by detecting the occurrence.
A boiler for driving a turbine generator by high temperature, high pressure steam energy generated by burning coal using coal as a fuel;
A soot blower installed inside the boiler and performing a soot blow operation to remove deposits on an outer surface of the boiler tube;
A sound sensor installed inside the boiler and detecting a sound generated from a leaky boiler tube;
A server that performs leak detection monitoring to detect leaks from boiler tubes in coal-fired power plants, and is a group in which a soot blow operation is performed to remove deposits on the outside of the boiler tubes by grouping the entire boiler area into a plurality of groups. BTLD operation server for performing leak detection monitoring by selectively selecting a group, an adjacent group adjacent to the workgroup, a non-adjacent group not adjacent to the workgroup;
The BTLD operation server,
A first detection mode in which the leak detection monitoring for leak detection of the boiler tube is not performed for the workgroup, and the leak detection monitoring is performed for the adjacent and non-adjacent groups;
Or a second detection mode in which the leak detection monitoring for leak detection of the boiler tube is not performed for the workgroup and the adjacent group, and the leak detection monitoring is performed for the non-adjacent group.
Or a coal-fired power plant boiler operating in any one of a third detection mode for performing leak detection monitoring for boiler tube leak detection for the entire area of the boiler tube including the workgroup, adjacent groups, and non-adjacent groups. Tube leak detection system.
delete The method of claim 7, wherein the coal power plant boiler tube leak detection system,
It includes; a plurality of temperature sensor is provided on the top of the boiler to be spaced apart from the boiler tube to measure the temperature;
When operating in the third detection mode, if the rate of temperature change detected by the temperature sensor provided at the top of the boiler of the work group exceeds the preset temperature warning threshold detects the leakage of the boiler tube in the work group Coal power plant boiler tube leak detection system.

Images