CN109668625B - Boiler slag falling monitoring and controlling method based on cold ash hopper vibration signal - Google Patents
Boiler slag falling monitoring and controlling method based on cold ash hopper vibration signal Download PDFInfo
- Publication number
- CN109668625B CN109668625B CN201811573979.6A CN201811573979A CN109668625B CN 109668625 B CN109668625 B CN 109668625B CN 201811573979 A CN201811573979 A CN 201811573979A CN 109668625 B CN109668625 B CN 109668625B
- Authority
- CN
- China
- Prior art keywords
- slag
- falling
- boiler
- cold ash
- vibration signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000002956 ash Substances 0.000 title claims abstract description 75
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000012544 monitoring process Methods 0.000 title claims abstract description 28
- 239000010884 boiler slag Substances 0.000 title claims abstract description 18
- 239000002893 slag Substances 0.000 claims abstract description 144
- 230000001133 acceleration Effects 0.000 claims abstract description 59
- 239000004071 soot Substances 0.000 claims abstract description 12
- 238000009826 distribution Methods 0.000 claims abstract description 5
- 230000003116 impacting effect Effects 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000005070 sampling Methods 0.000 claims description 3
- 239000003245 coal Substances 0.000 abstract description 9
- 238000005259 measurement Methods 0.000 abstract description 9
- 238000002485 combustion reaction Methods 0.000 abstract description 4
- 238000010438 heat treatment Methods 0.000 description 12
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 10
- 238000001816 cooling Methods 0.000 description 8
- 239000003546 flue gas Substances 0.000 description 7
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 239000000779 smoke Substances 0.000 description 3
- 238000012546 transfer Methods 0.000 description 3
- QAOWNCQODCNURD-UHFFFAOYSA-L Sulfate Chemical compound [O-]S([O-])(=O)=O QAOWNCQODCNURD-UHFFFAOYSA-L 0.000 description 2
- 230000002238 attenuated effect Effects 0.000 description 2
- 238000007664 blowing Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000009191 jumping Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 239000002245 particle Substances 0.000 description 2
- MBMLMWLHJBBADN-UHFFFAOYSA-N Ferrous sulfide Chemical compound [Fe]=S MBMLMWLHJBBADN-UHFFFAOYSA-N 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 239000000853 adhesive Substances 0.000 description 1
- 230000001070 adhesive effect Effects 0.000 description 1
- 229910000272 alkali metal oxide Inorganic materials 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011109 contamination Methods 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000010881 fly ash Substances 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000003331 infrared imaging Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 150000003467 sulfuric acid derivatives Chemical class 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23J—REMOVAL OR TREATMENT OF COMBUSTION PRODUCTS OR COMBUSTION RESIDUES; FLUES
- F23J1/00—Removing ash, clinker, or slag from combustion chambers
- F23J1/02—Apparatus for removing ash, clinker, or slag from ash-pits, e.g. by employing trucks or conveyors, by employing suction devices
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Gasification And Melting Of Waste (AREA)
Abstract
The invention discloses a boiler slag falling monitoring method based on a cold ash hopper vibration signal, which relates to the technical field of pulverized coal boiler combustion and comprises the following steps: (1) a plurality of acceleration sensors are respectively arranged on the front wall inclined plane and the rear wall inclined plane of the boiler cold ash bucket; (2) continuously recording vibration signal values of all acceleration sensors in the operation process of the boiler; (3) calculating the area of slag falling and the mass of slag blocks according to the time difference, amplitude and frequency characteristics of the jump of the vibration signals of the acceleration sensors; (4) counting the slag falling position under the set duration, and determining the area in the furnace exceeding the set slag falling requirement; the invention also provides a boiler slag falling control method based on the vibration signal of the cold ash bucket; the method has the advantages that the measurement system is easy to arrange, simple to operate and easy to popularize; meanwhile, according to the area of slag falling in the boiler, the air distribution mode and the soot blower of the boiler are adjusted, so that the large slag falling in the boiler can be avoided.
Description
Technical Field
The invention relates to the technical field of pulverized coal boiler combustion, in particular to a boiler slag falling monitoring and controlling method based on a vibration signal of a cold ash hopper.
Background
Slagging is the phenomenon of 'molten ash accumulation' on heated surfaces such as a water cooling wall, a superheater and the like in the operation process of a pulverized coal boiler. When the temperature of the flue gas is higher, ash particles in a softened or molten state are adhered to a heating surface in the combustion process, and continuously grow and accumulate to cause slag bonding. The slagging on the heating surface of the boiler causes the heat transfer in the boiler to be poor, and in turn, the slagging process is aggravated, so that the smoke temperature at the outlet of a hearth is increased, the steam temperature is higher or the thermal deviation is increased, and the boiler efficiency is reduced. When the heat transfer of the heating surface is weakened, the input amount of pulverized coal is increased to ensure that the boiler is at the same output level, so that the loads of auxiliary equipment such as a feeding fan, an induced draft fan and the like are increased, the service power is increased, and the economical efficiency of a unit is reduced. SO contained in boiler flue gas3Will react with some of the alkali metal oxides in the ash to form complex sulfates. Under the action of high-temperature flue gas, sulfate reacts with the oxide layer on the tube wall of the heating surface to generate a sulfate complex. The complex can react with the pipe wall of the heating surface at high temperature to generate ferrous sulfide, so that the pipe wall of the heating surface is corroded, and the strength of the heating surface is reduced. After the slag block is accumulated on the heating surface to a certain degree, the adhesive force of the wall of the heating surface to the slag block is not enough to offset the influence of the gravity of the slag block, so that the dropping of the large slag block is caused, the tube bundle of the water cooling wall of the hearth and the cold ash bucket are damaged, and the major accidents of hearth explosion and the like are caused.
Once the slagging of the heating surface exceeds the controllable range, great threat can be brought to the operation and the safe production of the unit, so that the slagging problem of the heating surface can be accurately found and treated, the slagging in the boiler is weakened, and the phenomenon that the large slag of the boiler falls off is avoided, thereby having very important significance on the safe operation of a large-scale power station boiler. The scholars at home and abroad have conducted extensive research on the influence factors of the furnace slagging for many years, and various slagging monitoring methods are provided.
Direct measurement: a series of thermal parameters such as flame temperature, flue gas temperature and the like in a hearth are measured through instrument equipment to monitor ash on a heating surface. For example, an infrared imaging camera (which can measure the radiation emissivity of the surface of the water wall) is used for directly measuring the slagging, but because the temperature in the hearth is too high and the conditions of washing of fly ash-containing flue gas exist, the method for directly diagnosing is not many, the equipment cost is high, and the feasibility degree is not high.
Furnace outlet flue gas temperature: the method has the advantages that the hearth contamination condition directly influences the hearth heat transfer, the hearth outlet smoke temperature can reflect the condition of slagging in the furnace, the hearth outlet smoke temperature can be directly measured (an optical or acoustic pyrometer) or indirectly calculated, the method is simple and feasible, the method becomes a key and important monitoring auxiliary means of a foreign slagging monitoring system, the defect is that only the slagging condition of the whole hearth can be judged, and slagging positioning is difficult to realize.
A heat flow meter: carry out the slagging scorification monitoring through installing the heat flow meter on the water-cooling wall simulation process of staiing (can judge the heat flow and change), the monitoring result is comparatively reliable under the condition that each position of furnace all installed, but the arrangement of heat flow meter is more troublesome, needs the installation of blowing out, and the welding has changed the structure of water-cooling wall on the water-cooling wall simultaneously, has reduced the intensity maintenance difficulty of water-cooling wall, and damages easily, difficult maintenance.
Indirectly diagnosing the temperature difference on the back of the water-cooled wall: and measuring the local heat load of the water cooling wall, namely the ash pollution heat load, on line by using a temperature difference measuring point on the back surface of the water cooling wall. The clean heat load in the normal case is calculated by direct measurement of the clean heat flow or by furnace division. The ash-dirt heat load and the clean heat load are compared, and the position and the severity of slagging can be judged. However, the method is still in the laboratory research stage, and no practical application report is seen.
A slag conveyor water temperature jump method: according to the hydraulic deslagging pulverized coal boiler, temperature matrix measuring points are arranged in a water pool of a slag conveyor at the bottom of the boiler, the temperature change of each measuring point is continuously monitored, when a large slag block falls, the closer the temperature is to a falling point, the temperature of the measuring point is increased at the beginning, and the amplitude of the increase is the largest. Meanwhile, the size of the slag block can be estimated through the water temperature difference of the inlet and the outlet of the water pool of the slag conveyor. The method can simultaneously determine the position and the amount of slag falling, but is limited to a hydraulic slag removal pulverized coal boiler, and the existing large-capacity boiler adopts dry slag removal.
Although the on-line monitoring of the slagging in the furnace is deeply researched at home and abroad, and corresponding systems are also developed, the on-line monitoring of the slagging in the furnace has respective defects. At present, the existing research basically adopts an indirect slagging analysis method based on flue gas, wall surface temperature and water pool temperature of a slag conveyor, a large number of sensors are required to be installed, the system is complex, the measurement accuracy is poor, only the slagging trend of a hearth can be obtained, and the key information such as specific slagging position, the size of slag falling and the like is difficult to obtain.
Disclosure of Invention
The invention provides a boiler slag falling monitoring and controlling method based on a vibration signal of a cold ash hopper.
The boiler slag falling monitoring method based on the vibration signal of the cold ash bucket comprises the following steps:
(1) a plurality of acceleration sensors are respectively arranged on the front wall inclined plane and the rear wall inclined plane of the boiler cold ash bucket; generally, the acceleration sensors of the front wall are in one group, and the acceleration sensors of the rear wall are in one group.
(2) Continuously recording vibration signal values of all acceleration sensors in the operation process of the boiler;
(3) calculating the area of slag falling and the mass of slag blocks according to the time difference, amplitude and frequency characteristics of the jump of the vibration signals of the acceleration sensors;
(4) and under the set duration, counting the slag falling positions, and determining the area in the furnace exceeding the set slag falling requirement.
In order to accurately obtain the slag falling position, preferably, in the step (3), the concrete steps of calculating the slag falling area and the slag mass quality according to the time difference, amplitude and frequency characteristics of the jump of the vibration signal of each acceleration sensor are as follows:
3-1, preliminarily judging whether the falling slag is close to the front wall or the rear wall according to vibration signal characteristics of two groups of acceleration sensors of the front wall inclined plane and the rear wall inclined plane of the cold ash hopper;
3-2, calculating the position of the falling slag impacting the inclined plane of the cold ash bucket according to the time difference of the jump of the vibration signals of the acceleration sensors of the corresponding group, and calculating the position of the falling slag on the cross section of the hearth according to the impacting position;
3-3, performing Fourier transform on vibration signals of the acceleration sensors, obtaining the height of slag falling according to frequency characteristics to obtain a calculation slag falling area, operating a soot blower in the calculation slag falling area, and verifying a calculation result;
and 3-4, calculating the kinetic energy of the falling slag impacting the inclined plane of the cold ash hopper according to the amplitude of the jump of the vibration signal of each acceleration sensor, wherein the kinetic energy is a function of the mass and the speed of the falling slag, obtaining the speed of the falling slag impacting the inclined plane of the cold ash hopper according to the height of the falling slag in the step 3-3, and further calculating the mass of the falling slag.
In order to more accurately and preliminarily judge whether the slag is close to the front wall or the rear wall, it is preferable that in step 3-1, whether the slag is close to the front wall or the rear wall is judged by comparing the average values of the jump amplitudes of the two corresponding sets of acceleration sensors, and if the average value is large, the slag is located at the side. Due to the fact that various vibration noises exist in a measuring site, and a vibration signal generated when falling slag impacts a cold ash hopper is attenuated quickly along with the increase of the distance from an impact point. If the falling slag impacts the inclined plane of the cold ash bucket on the front wall, the vibration signals of the acceleration sensors of the group obviously jump, and the jumping amplitude of the vibration signals of the acceleration sensors on the rear wall is obviously smaller than that of the front wall. Because the falling slag in the furnace has randomness, the average value of the jump amplitude of the acceleration sensor is used as a judgment basis, and the reliability and the accuracy are higher.
In order to improve the accuracy of the calculation of the falling slag impact position, preferably, in the step 3-2, the jump time difference of the vibration signals of the acceleration sensors for calculating the position of the falling slag impact on the inclined plane of the cold ash bucket is the time difference corresponding to the jump maximum value of each vibration signal. Because various vibration noises exist in a measurement site, a falling slag impact vibration starting point signal is submerged in the noises, and the starting point is difficult to determine, so that the time difference from the vibration signal to each measurement point is calculated by adopting the time point corresponding to the jump maximum value of the vibration signal.
In order to improve the accuracy of the calculation of the slag falling impact position, preferably, after the time difference between the measuring points is obtained, the maximum value and the second largest value of the time difference are substituted into a triangle positioning method formula to calculate the slag falling impact position.
After the position of the falling slag impacting the inclined surface of the cold ash bucket is obtained, in order to obtain the position of the falling slag on the cross section of the hearth, preferably, in step 3-2, the inclined surface of the cold ash bucket of the boiler is projected onto the cross section of the hearth, and the relationship (corresponding coordinates) between the impacting position and the position on the corresponding cross section of the hearth is determined.
In order to obtain the height position of the falling slag, it is preferable that in step 3-3, the more high-frequency components in the frequency of the vibration signal of each acceleration sensor, the higher the height of the falling slag. And determining the frequency characteristics of the vibration signals with different falling slag heights by adopting a calibration method in advance, wherein the more high-frequency components in the frequency of the vibration signals, the higher the falling slag height. And determining the approximate height of the slag falling based on the calibration result, then operating the soot blower for calculating the slag falling area, and verifying the calculation result.
In order to obtain the falling slag quality, preferably, in step 3-4, the kinetic energy of the falling slag impacting the inclined surface of the cold ash bucket is calculated by using the average value of the amplitude of the jump of the vibration signal of each acceleration sensor, and is represented by the following formula:
wherein,
a is the average value of the amplitude value of the jump of the vibration signal of the acceleration sensor;
c is the inelastic collision coefficient of the slag block;
m is the mass of the slag block, and the unit is kg;
v is the speed of the slag block when impacting the inclined surface of the cold ash hopper, and the unit is m/s.
In order to improve the accuracy of the calculation of the slag falling position, preferably, in the step (1), at least 3 acceleration sensors are respectively arranged on the front wall inclined plane and the rear wall inclined plane of the boiler cold ash bucket, and one acceleration sensor is arranged on each side wall close to two sides.
In order to further improve the accuracy of the calculation of the slag falling position, preferably, 4 acceleration sensors are respectively arranged on the front wall inclined plane and the rear wall inclined plane of the boiler cold ash bucket, and the 4 acceleration sensors are arranged at 4 corners of the inclined plane of the cold ash bucket and are 1.5-2.5 m away from the nearest edge.
In order to accurately obtain the amplitude of the jump of the vibration signal of each acceleration sensor and the corresponding time point and improve the accuracy of slag falling positioning, preferably, in the step (2), the sampling frequency is not less than 100 kHz.
The invention also provides a boiler slag falling control method based on the vibration signal of the cold ash hopper, which comprises the boiler slag falling monitoring method based on the vibration signal of the cold ash hopper, and also comprises the step (5) of adjusting the air distribution mode and the soot blower application of the boiler according to the area of the slag falling in the boiler. Generally, after confirming the areas where slag frequently falls in the furnace, the soot blowing frequency of the corresponding areas is increased to prevent the slag from falling in the furnace.
The invention has the beneficial effects that:
according to the boiler slag falling monitoring and controlling method based on the cold ash bucket vibration signals, the slag falling area and the slag block quality of the pulverized coal boiler can be obtained only by arranging the acceleration sensors on the inclined plane of the cold ash bucket of the boiler, and the measuring system is easy to arrange, simple to operate and easy to popularize; meanwhile, according to the area of slag falling in the boiler, the air distribution mode and the soot blower of the boiler are adjusted, so that the large slag falling in the boiler can be avoided.
Drawings
FIG. 1 is a wire frame flow chart of a boiler slag drop monitoring and control method based on a vibration signal of a cold ash hopper.
FIG. 2 is a schematic structural diagram of a pulverized coal fired boiler used in the boiler slag falling monitoring and controlling method based on a vibration signal of a cold ash bucket.
Fig. 3 is a schematic diagram of the position parameters of the respective acceleration sensor arrangement.
FIG. 4 is a time domain diagram of a typical vibration signal of furnace slag falling.
FIG. 5 is a frequency domain plot of a typical vibration signal for furnace slag falling.
Detailed Description
In order to make the technical means, creation features, work flow and use method of the present invention easy to understand, the present invention is further described below with reference to specific embodiments.
As shown in fig. 1, the boiler slag falling monitoring and controlling method based on the vibration signal of the cold ash bucket of the embodiment includes the following steps:
(1) respectively arranging a plurality of acceleration sensors on a front wall inclined plane and a rear wall inclined plane of a boiler cold ash bucket, wherein the acceleration sensors on the front wall form a group, and the acceleration sensors on the rear wall form a group;
as shown in fig. 2, the measuring system used in the present embodiment includes a boiler body 1, a boiler ash hopper vibration signal measuring point 2, a data collector 3, a computer 4, a data processing output signal 5, a boiler control system 6 and a furnace slag falling control signal 7, wherein the boiler body 1 includes a soot blower 101, an over-fire air nozzle 102, a burner 103, an ash hopper 104 and a slag outlet 105.
As shown in FIG. 3, the positions of the measuring points of the falling slag vibration signal are respectively the measuring points 201, 202, 203 and 204 on the front wall inclined surface 106 of the cold ash bucket and the measuring points 205, 206, 207 and 208 on the rear wall inclined surface 107 of the cold ash bucket. Each inclined plane is provided with 4 acceleration sensors which are arranged at 4 corners of the inclined plane of the ash hopper, and the distance between the two acceleration sensors and the nearest edge is 2 m.
(2) Continuously recording vibration signal values of all acceleration sensors in the operation process of the boiler by using a data acquisition instrument, wherein the sampling frequency is 100 kHz;
(3) calculating the area of slag falling and the quality of slag blocks according to the time difference, amplitude and frequency characteristics of jump of vibration signals of each acceleration sensor, and specifically comprising the following steps:
3-1, preliminarily judging whether the falling slag is close to the front wall or the rear wall according to vibration signal characteristics of two groups of acceleration sensors of the front wall inclined plane and the rear wall inclined plane of the cold ash hopper; due to the fact that various vibration noises exist in a measuring site, and a vibration signal generated when falling slag impacts a cold ash hopper is attenuated quickly along with the increase of the distance from an impact point. If the falling slag impacts the inclined plane of the cold ash bucket on the front wall, the vibration signals of the acceleration sensors of the group obviously jump, and the jumping amplitude of the vibration signals of the acceleration sensors on the rear wall is obviously smaller than that of the front wall. Because the falling slag in the furnace has randomness, the average value of the jump amplitude of the acceleration sensor is used as a judgment basis, and the reliability and the accuracy are higher.
And 3-2, after the falling slag is determined to be positioned on the front wall inclined plane or the rear wall inclined plane, calculating the position of the falling slag impacting the inclined plane of the cold ash hopper by utilizing the time difference of the jump of the vibration signals of the acceleration sensors of the corresponding group, and calculating the position of the falling slag on the cross section of the hearth according to the impacting position. Because various vibration noises exist in a measurement site, a falling slag impact vibration starting point signal is submerged in the noises, and the starting point is difficult to determine, so that the time difference from the vibration signal to each measurement point is calculated by adopting the time point corresponding to the jump maximum value of the vibration signal. And after the time difference among the measuring points is obtained, substituting the maximum value and the second maximum value of the time difference into a triangle positioning method formula to calculate the impact position of the falling slag. And after the position of the falling slag impacting the inclined surface of the cold ash bucket is obtained, projecting the inclined surface of the cold ash bucket of the boiler onto the cross section of the hearth, determining the corresponding coordinates of each point on the inclined surface of the cold ash bucket on the cross section of the hearth, and obtaining the position of the falling slag on the cross section of the hearth.
And 3-3, performing Fourier transform on vibration signals (shown in figure 4) of each acceleration sensor, analyzing frequency characteristics (shown in figure 5) of the vibration signals, and determining the frequency characteristics of the vibration signals with different slag falling heights by adopting a calibration method in the early stage, wherein the more high-frequency components in the frequency of the vibration signals, the higher the slag falling height. And determining the approximate height of the slag falling based on the calibration result, then operating the soot blower for calculating the slag falling area, and verifying the calculation result.
3-4, calculating the kinetic energy of the falling slag impacting the inclined plane of the cold ash bucket by utilizing the average value of the amplitude of the jump of the vibration signals of the acceleration sensors in order to further obtain the mass of the falling slag, and expressing the kinetic energy by the following formula:
wherein,
a is the average value of the amplitude value of the jump of the vibration signal of the acceleration sensor;
c is the inelastic collision coefficient of the slag block;
m is the mass of the slag block, and the unit is kg;
v is the speed of the slag block when impacting the inclined surface of the cold ash hopper, and the unit is m/s.
And (3) after the kinetic energy of the falling slag impacting the inclined surface of the cold ash hopper is obtained, obtaining the speed of the falling slag impacting the inclined surface of the cold ash hopper according to the height of the falling slag in the step 3-3, and calculating the mass of the falling slag.
(4) Calculating the position and the quality of the falling slag by the method, monitoring and counting the position of the falling slag for a long time, and finding out the area of the furnace in which the slag frequently falls;
(5) according to the area of the slag falling in the furnace, the frequency of putting the soot blowers in the corresponding area is properly improved, the large slag falling caused by the long-time bonding of the ash particles is prevented, the reasons for slag bonding in the furnace are further analyzed, the combustion adjustment is made, and the frequent slag falling and large slag falling in the furnace are avoided.
According to the invention, the slag falling area and the slag block quality of the pulverized coal boiler can be obtained only by arranging a plurality of acceleration sensors on the inclined plane of the boiler cold ash bucket, and the measurement system is easy to arrange, simple to operate and easy to popularize; meanwhile, according to the area of slag falling in the boiler, the air distribution mode and the soot blower of the boiler are guided to be adjusted, so that the large slag falling in the boiler can be avoided.
Claims (9)
1. The boiler slag falling monitoring method based on the vibration signal of the cold ash bucket is characterized by comprising the following steps of:
(1) a plurality of acceleration sensors are respectively arranged on the front wall inclined plane and the rear wall inclined plane of the boiler cold ash bucket;
(2) continuously recording vibration signal values of all acceleration sensors in the operation process of the boiler;
(3) calculating the area of slag falling and the mass of slag blocks according to the time difference, amplitude and frequency characteristics of the jump of the vibration signals of the acceleration sensors;
(4) counting the slag falling position under the set duration, and determining the area in the furnace exceeding the set slag falling requirement;
in the step (3), the concrete steps of calculating the slag falling area and the slag block mass according to the time difference, amplitude and frequency characteristics of the jump of the vibration signal of each acceleration sensor are as follows:
3-1, preliminarily judging whether the falling slag is close to the front wall or the rear wall according to vibration signal characteristics of two groups of acceleration sensors of the front wall inclined plane and the rear wall inclined plane of the cold ash hopper;
3-2, calculating the position of the falling slag impacting the inclined plane of the cold ash bucket according to the time difference of the jump of the vibration signals of the acceleration sensors of the corresponding group, and calculating the position of the falling slag on the cross section of the hearth according to the impacting position;
3-3, performing Fourier transform on vibration signals of the acceleration sensors, obtaining the height of slag falling according to frequency characteristics to obtain a calculation slag falling area, operating a soot blower in the calculation slag falling area, and verifying a calculation result;
and 3-4, calculating the kinetic energy of the falling slag impacting the inclined plane of the cold ash hopper according to the amplitude of the jump of the vibration signal of each acceleration sensor, wherein the kinetic energy is a function of the mass and the speed of the falling slag, obtaining the speed of the falling slag impacting the inclined plane of the cold ash hopper according to the height of the falling slag in the step 3-3, and further calculating the mass of the falling slag.
2. The method for monitoring boiler slag falling based on the vibration signal of the cold ash bucket as claimed in claim 1, wherein in the step 3-1, whether the slag falling is close to the front wall or the rear wall is judged by comparing the average value of the jump amplitudes of the two corresponding groups of acceleration sensors, and the slag falling is positioned at the side when the average value is large.
3. The method for monitoring boiler falling slag based on the cold ash hopper vibration signal as claimed in claim 1, wherein in the step 3-2, the jump time difference of each acceleration sensor vibration signal for calculating the position of the falling slag impacting the cold ash hopper slope is the time difference of the corresponding time of each vibration signal jump maximum value.
4. The method for monitoring boiler falling slag based on the vibration signal of the cold ash bucket as claimed in claim 1, wherein in the step 3-2, the inclined surface of the cold ash bucket of the boiler is projected onto the cross section of the hearth, and the relationship between the impact position and the position on the corresponding cross section of the hearth is determined.
5. The method for monitoring the boiler falling slag based on the vibration signals of the cold ash bucket according to the claim 1, wherein in the step 3-3, the more high-frequency components in the frequency of the vibration signals of each acceleration sensor, the higher the falling slag height.
6. The method for monitoring boiler falling slag based on the vibration signal of the cold ash bucket in the claim 1, wherein in the step (1), at least 3 acceleration sensors are respectively arranged on the front wall inclined plane and the rear wall inclined plane of the cold ash bucket of the boiler, and one acceleration sensor is respectively arranged on the side walls close to the two sides.
7. The boiler slag falling monitoring method based on the cold ash bucket vibration signal as claimed in claim 1, wherein 4 acceleration sensors are respectively arranged on the front wall inclined plane and the rear wall inclined plane of the boiler cold ash bucket, and the 4 acceleration sensors are arranged at 4 corners of the cold ash bucket inclined plane, and are 1.5-2.5 m away from the nearest side.
8. The method for monitoring boiler falling slag based on the vibration signal of the cold ash bucket according to claim 1, wherein in the step (2), the sampling frequency is not less than 100 kHz.
9. The boiler slag falling control method based on the cold ash hopper vibration signal is characterized by comprising the boiler slag falling monitoring method based on the cold ash hopper vibration signal as claimed in any one of claims 1 to 8, and further comprising the step (5) of adjusting an air distribution mode and a soot blower operation of the boiler according to the area of slag falling in the boiler.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811573979.6A CN109668625B (en) | 2018-12-21 | 2018-12-21 | Boiler slag falling monitoring and controlling method based on cold ash hopper vibration signal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811573979.6A CN109668625B (en) | 2018-12-21 | 2018-12-21 | Boiler slag falling monitoring and controlling method based on cold ash hopper vibration signal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109668625A CN109668625A (en) | 2019-04-23 |
| CN109668625B true CN109668625B (en) | 2020-04-21 |
Family
ID=66147071
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811573979.6A Active CN109668625B (en) | 2018-12-21 | 2018-12-21 | Boiler slag falling monitoring and controlling method based on cold ash hopper vibration signal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109668625B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112858718B (en) * | 2021-01-21 | 2023-09-05 | 广东电网有限责任公司 | Oil speed measuring method, device and system for oil leakage of transformer |
| CN113281817A (en) * | 2021-06-15 | 2021-08-20 | 浙江巨化热电有限公司 | System and method for monitoring slag falling in pulverized coal fired boiler |
| CN113803735B (en) * | 2021-08-10 | 2024-05-28 | 浙江大学 | Power station boiler hearth partition intelligent soot blowing system and method based on support vector machine |
| CN113847611B (en) * | 2021-08-18 | 2022-04-12 | 浙江大学 | Intelligent soot blowing system and method for power station boiler furnace |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07310080A (en) * | 1994-05-20 | 1995-11-28 | Mitsubishi Heavy Ind Ltd | Monitoring device for sticking of slag in coal gasifying furnace |
| JPH08196935A (en) * | 1995-01-31 | 1996-08-06 | Babcock Hitachi Kk | Method and device for judging completion of residual coal discharge for coal crusher |
| CN102253081A (en) * | 2011-04-29 | 2011-11-23 | 华北电力大学 | Method for monitoring soot in hearth of power station boiler based on acoustical principle |
| CN104776420B (en) * | 2015-03-27 | 2016-08-24 | 浙江大学 | The boiler superheater slagging scorification diagnostic method analyzed based on vibration signal characteristics and system |
| CN106195993B (en) * | 2016-07-11 | 2018-09-07 | 华中科技大学 | A kind of outlet method of river diversion of tower boiler, mechanism and boiler |
| CN106247308B (en) * | 2016-07-26 | 2018-09-07 | 浙江大学 | Boiler scaling condition monitoring based on furnace exit temperature and control method |
| CN106482826B (en) * | 2016-09-28 | 2019-04-09 | 浙江大学 | A kind of fusion of multi-sensor information measurement diagnostic method for oil-gas boiler combustion vibration |
| CN106871957B (en) * | 2017-01-11 | 2019-02-05 | 浙江大学 | A kind of measurement method of pulverized-coal fired boiler slag position and slag amount |
| CN207407351U (en) * | 2017-08-02 | 2018-05-25 | 浙江富春江环保热电股份有限公司 | The intermittent vibrating, deslagging device of waste incinerator |
-
2018
- 2018-12-21 CN CN201811573979.6A patent/CN109668625B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN109668625A (en) | 2019-04-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109668625B (en) | Boiler slag falling monitoring and controlling method based on cold ash hopper vibration signal | |
| CN202118880U (en) | Early warning system of intelligent soot blowing optimization and online coking of boiler | |
| CN112283689B (en) | On-line monitoring system and detection method for accumulated ash on heating surface of coal-fired power plant boiler | |
| CN106247308B (en) | Boiler scaling condition monitoring based on furnace exit temperature and control method | |
| CN202916023U (en) | Power station boiler furnace ash deposition monitoring device based on acoustic principles | |
| CN110081448A (en) | Boiler furnace intelligent sootblowing | |
| CN109654519B (en) | Boiler soot blowing system and operation method thereof | |
| CN102253081A (en) | Method for monitoring soot in hearth of power station boiler based on acoustical principle | |
| CN103667740B (en) | Automatic control system for copper converter converting | |
| CN105045196A (en) | System and method for online monitoring slagging on water wall of boiler | |
| CN103667741B (en) | Copper converter converting control system | |
| CN205049928U (en) | Boiler water wall slagging scorification on -line monitoring system | |
| CN102252334A (en) | Intelligent soot blowing method based on laser ranging principle | |
| CN216384218U (en) | Coal-fired boiler cold ash bucket sediment real-time supervision system that falls | |
| CN103047666A (en) | Method and device for blowing soot of convection heating surface of boiler | |
| WO2021004106A1 (en) | Online monitoring device for deposit thickness on bottom of horizontal flue, and method | |
| CN203820873U (en) | Copper converter blowing control system | |
| CN107356200A (en) | Slag measuring method and system in pulverized-coal fired boiler stove based on clinker track | |
| CN215067357U (en) | Pulverized coal fired boiler in-furnace slag falling monitoring system | |
| CN106871957B (en) | A kind of measurement method of pulverized-coal fired boiler slag position and slag amount | |
| CN103558231A (en) | Nondestructive testing method for blast furnace lining | |
| CN112226561B (en) | Blast furnace lining monitoring method based on impact echo method | |
| CN210197322U (en) | Intelligent soot blowing system for boiler furnace | |
| CN102288632A (en) | Method for measuring ignition point of wind powder mixture in coal burning boiler | |
| CN208074927U (en) | Anti- High Temperature Hot-corrosion Behaviorof endangers monitoring device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |