Method and system for detecting ash dirt on heating surface of power plant boiler

Abstract

The invention discloses a power plant boiler heating surface ash dirt detection method and system. The method comprises the steps that working condition supporting parameters of a current unit are obtained; according to the working condition supporting parameters of the current unit and the corresponding relation between the working condition supporting parameters and a dirt characteristic field, a predicted dirt characteristic field is obtained; measuring airflow sound information and vibration spectrum characteristic information at a plurality of measuring points in the flue; according to the measured airflow sound information and vibration spectrum characteristic information at each measuring point in the flue, constructing a real-time ash and dirt characteristic field; comparing the predicted fouling characteristic field with the real-time fouling characteristic field, and judging the fouling degree of the heating surface of the power plant boiler according to the comparison result, the method and the system can detect the fouling of the heating surface of the power plant boiler, and have the characteristics of low cost and high measurement precision.

Description

Technical Field

[0001] The invention belongs to the technical field of energy conservation and efficiency improvement of thermal power plants, and relates to a method and system for detecting ash pollution on heating surfaces of boilers in power plants. Background Art

[0002] In recent years, coal prices have been high and the operating costs of thermal power plants have remained high. With renewable energy installed capacity accounting for more than half of the total, the utilization hours of my country's thermal power equipment and the amount of electricity connected to the grid have both declined significantly, and the industry has suffered large-scale losses.

[0003] Fuel costs account for more than 70% of power plant operating costs. In order to get rid of losses, some power plants have reduced fuel costs by burning a large proportion of low-priced and low-quality coal, and finally successfully reduced losses or even turned losses around. Low-priced and low-quality coal mainly includes low calorific value coal and high-sulfur and high-alkali coal that is easy to coke. Therefore, the high-temperature heating surface of the boiler has serious ash and slagging problems, such as Figure 1 As shown, it affects the safe and stable operation of the unit. Under the overall requirement of reducing costs and increasing efficiency, it is inevitable for thermal power plants to burn low-priced and low-quality coal at a high proportion. To solve the serious ash pollution problem on the heating surface caused by this, it is necessary to develop a set of reliable heating surface ash coking detection devices.

[0004] At present, the detection of ash and slagging on the heating surface of boilers mainly includes model prediction method and camera observation method. The model prediction method is based on the basic principles of thermodynamics and heat transfer, combined with artificial intelligence algorithms for prediction. The advantages are pure software and low cost. The disadvantages are: the number of available measurement points is small, and it cannot represent the overall heat transfer characteristics of flue gas and working fluid, resulting in low accuracy of prediction results, which cannot meet the requirements of engineering applications. The camera observation method is to extend a special high-temperature camera into the furnace or flue for direct observation. The advantages are intuitiveness and high accuracy. The disadvantages are equipment cost and small observation range, which limits its further commercialization.

[0005] In summary, the development of a low-cost, high-precision boiler heating surface ash and slagging detection system is of great significance for guiding thermal power plants to burn inferior coal and reduce fuel costs. Summary of the invention

[0006] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a method and system for detecting ash contamination on the heating surface of a power plant boiler. The method and system can detect ash contamination on the heating surface of a power plant boiler and have the characteristics of low cost and high measurement accuracy.

[0007] In order to achieve the above object, the present invention adopts the following technical scheme:

[0008] In one aspect of the present invention, the method for detecting ash contamination on heating surfaces of power plant boilers of the present invention comprises:

[0009] Get the operating condition support parameters of the current unit;

[0010] According to the operating condition support parameters of the current unit, and according to the corresponding relationship between the operating condition support parameters and the ash pollution characteristic field, a predicted ash pollution characteristic field is obtained;

[0011] Measure the airflow sound information and vibration spectrum characteristic information at several measuring points in the flue;

[0012] According to the airflow sound information and vibration spectrum characteristic information at each measuring point in the flue, a real-time dust pollution characteristic field is constructed;

[0013] The predicted ash pollution characteristic field is compared with the real-time ash pollution characteristic field, and the ash pollution degree of the heating surface of the power plant boiler is determined according to the comparison result.

[0014] Furthermore, the process of comparing the predicted ash pollution characteristic field with the real-time ash pollution characteristic field and judging the ash pollution degree of the heating surface of the power plant boiler according to the comparison result is as follows:

[0015] Calculate the height difference and concentration between the predicted dust pollution characteristic field and the real-time dust pollution characteristic field;

[0016] The degree of ash pollution on the heating surface of the power plant boiler is determined based on the height difference and concentration between the predicted ash pollution characteristic field and the real-time ash pollution characteristic field.

[0017] Furthermore, the operating condition support parameters of the current unit include unit load, total coal volume and total air volume.

[0018] Furthermore, before obtaining the predicted ash pollution characteristic field according to the operating condition support parameters of the current unit and the corresponding relationship between the operating condition support parameters and the ash pollution characteristic field, the method further includes:

[0019] Under normal circumstances, the airflow sound information and vibration spectrum characteristic information of each measuring point in the flue are measured under different working condition support parameters, and each working condition support parameter and its corresponding airflow sound information and vibration spectrum characteristic information of each measuring point in the flue are combined into a data strip and stored in the ash pollution characteristic field history library;

[0020] A dust pollution characteristic field is generated according to the data in the dust pollution characteristic field history library to form a corresponding relationship between the working condition support parameters and the dust pollution characteristic field.

[0021] Furthermore, the process of generating the dust pollution characteristic field according to the data in the dust pollution characteristic field history library to form a corresponding relationship between the working condition support parameter and the dust pollution characteristic field is as follows:

[0022] Preprocess the data in the historical database of the gray pollution characteristic field;

[0023] Grouping the data strips in the gray pollution characteristic field history library to form equal operating condition groups;

[0024] Taking the median of the sound frequency and the median of the vibration displacement in the equal working condition group as the zero altitude, the sound frequencies and vibration displacements in the equal working condition group are discretely distributed according to the numerical values ​​to form a 3D scatter plot of the sound frequency and a 3D scatter plot of the vibration displacement;

[0025] Connecting each point in the sound frequency 3D scatter plot and its adjacent points, and connecting each point in the vibration displacement 3D scatter plot and its adjacent points to form an original characteristic field of sound frequency and an original characteristic field of vibration displacement;

[0026] The sound frequency original characteristic field and the vibration displacement original characteristic field are smoothed and rendered to obtain a gray pollution characteristic field.

[0027] Furthermore, the process of preprocessing the data in the dust pollution feature field history library is as follows:

[0028] Screen the data in the historical database of gray pollution characteristic fields.

[0029] Furthermore, the measurement system measures the airflow sound information and vibration spectrum characteristic information at several measurement points in the flue.

[0030] Furthermore, the measuring system includes a measuring rod, a driving motor, a sealing box, a measuring head, a bracket, an on-site controller and a controller. The measuring rod is located on the bracket, one end of the measuring rod is connected to the driving motor, the other end of the measuring rod passes through the sealing box, is inserted into the flue and then connected to the measuring head. A plurality of vibration meters and audio collectors are arranged on the measuring head, the output ends of the vibration meters and audio collectors are connected to the input end of the on-site controller, and the on-site controller is connected to the controller.

[0031] Furthermore, when working, the controller sends a measurement instruction to the local controller, and the local controller controls the driving motor to work according to the measurement instruction. The driving motor drives the measuring rod to drive the measuring head to extend out of the sealing box and into the flue, and the airflow sound information and vibration spectrum characteristic information of each measuring point in the flue are measured by the vibration meter and the audio collector, and sent to the local controller through the cable, and then forwarded to the controller via the local controller.

[0032] The power plant boiler heating surface dust pollution detection system of the present invention comprises:

[0033] An acquisition module is used to obtain the operating condition support parameters of the current unit;

[0034] A search module, used for obtaining a predicted ash pollution characteristic field according to the operating condition support parameters of the current unit and the corresponding relationship between the operating condition support parameters and the ash pollution characteristic field;

[0035] A measurement module is used to measure the airflow sound information and vibration spectrum characteristic information at several measuring points in the flue;

[0036] A construction module is used to construct a real-time dust pollution characteristic field based on the airflow sound information and vibration spectrum characteristic information at each measuring point in the flue obtained by measurement;

[0037] The comparison module is used to compare the predicted ash pollution characteristic field with the real-time ash pollution characteristic field, and determine the ash pollution degree of the heating surface of the power plant boiler according to the comparison result.

[0038] The present invention has the following beneficial effects:

[0039] During specific operation, the method and system for detecting ash pollution on the heating surface of a power plant boiler described in the present invention obtain a predicted ash pollution characteristic field based on the operating condition support parameters of the current unit and the correspondence between the operating condition support parameters and the ash pollution characteristic field, and then construct a real-time ash pollution characteristic field based on the airflow sound information and vibration spectrum characteristic information at a number of measuring points in the flue. The real-time ash pollution characteristic field is compared with the predicted ash pollution characteristic field to determine the ash pollution degree of the heating surface of the power plant boiler, with a high degree of reliability. At the same time, the entire cross-section of the flue is measured on-site in real time, including many measuring points, and the result represents the whole flue with high credibility, thereby greatly improving the detection accuracy, making the present invention have higher engineering practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0041] Figure 1 This is the heating surface diagram of a boiler with serious ash pollution;

[0042] Figure 2 is a schematic diagram of boiler heating surface tubes arranged in the flue 9;

[0043] Figure 3 is the schematic diagram of the measurement system;

[0044] Figure 4 It is the structural diagram of the measurement system;

[0045] Figure 5 This is the layout diagram of the measuring points;

[0046] Figure 6 3D annotation map of data points;

[0047] Figure 7a is a schematic diagram of a concave point;

[0048] Figure 7b is a schematic diagram of a convex point;

[0049] Figure 8 This is the smoothing effect diagram of the original feature field;

[0050] Fig. 9 It is a schematic diagram of the color gray pollution characteristic field;

[0051] Fig.10 Schematic diagram of the dust pollution characteristic field generated after calculation and rendering of a flue cross section. DETAILED DESCRIPTION

[0052] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only an embodiment of a part of the present invention, not all embodiments, and is not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concepts disclosed in the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present invention.

[0053] The accompanying drawings show schematic diagrams of structures according to embodiments disclosed in the present invention. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0054] The measuring principle of the present invention is as follows: the boiler heating surface pipes are arranged over a large area in the boiler flue, occupying most of the flue space. After ash and slag are accumulated, the flue gas flowing through here will produce a sharper sound, driving the pipes to vibrate more significantly. By detecting the above-mentioned airflow sound and pipe vibration characteristics, the degree of ash and slag accumulation on the pipe row can be distinguished.

[0055] In the whole flue cross section, the area with sharp sound (high frequency) and strong pipe vibration (large amplitude and significant displacement value) indicates serious ash and slagging, while the area with gentle sound and small pipe vibration indicates that the ash and slagging is relatively light. The characteristic values ​​of the sound and vibration spectrum of different areas are mapped to a two-dimensional plane, and then processed by an intuitive graphical algorithm, and finally a "topographic map" of the heating surface with ups and downs can be obtained, which is defined as the "ash pollution characteristic field" of the flue cross section in the present invention.

[0056] The concept of "heating surface ash pollution characteristic field" of power station boiler proposed in the present invention is first defined as follows: a plane is selected in the direction perpendicular to the flue gas flow direction in the heating surface area of ​​the boiler, and the characteristic values ​​of the airflow sound and the pipe vibration spectrum at various locations on the plane are measured. Then, according to certain mathematical rules, the two characteristic values ​​are organically integrated to finally form characteristic parameters that can reflect the unevenness of the plane parameters. These parameters are evenly distributed in high and low sizes, and after calculation and rendering, the final plane figure formed is the "ash pollution characteristic field".

[0057] Embodiment 1

[0058] The method for detecting dust pollution on the heating surface of a power plant boiler according to the present invention comprises the following steps:

[0059] 1) Obtain the operating condition support parameters of the current unit;

[0060] The operating condition support parameters of the current unit include unit load, total coal volume and total air volume;

[0061] 2) obtaining a predicted ash pollution characteristic field according to the operating condition support parameters of the current unit and the corresponding relationship between the operating condition support parameters and the ash pollution characteristic field;

[0062] 3) measuring the airflow sound information and vibration spectrum characteristic information at several measuring points in the flue 9;

[0063] 4) constructing a real-time dust pollution characteristic field based on the airflow sound information and vibration spectrum characteristic information at each measuring point in the flue 9;

[0064] 5) Calculate the height difference and concentration between the predicted dust pollution characteristic field and the real-time dust pollution characteristic field;

[0065] 6) When the calculated height difference is greater than or equal to the preset height difference or the calculated concentration is greater than the preset concentration, it indicates that ash and slagging occur in the tubes of the boiler heating surface, and a control signal is generated, which is then sent to the steam soot blower system, and the steam soot blower system cleans the boiler heating surface according to the control signal.

[0066] As an implementation mode of the present invention, the present invention further includes: constructing a corresponding relationship between the working condition support parameter and the gray pollution characteristic field;

[0067] The process of constructing the corresponding relationship between the working condition support parameters and the dust pollution characteristic field is as follows:

[0068] 21) Obtaining airflow sound information and vibration spectrum characteristic information at each measuring point in the flue 9 through the measurement system;

[0069] Specifically, refer to Figure 3 and Figure 4 The measuring system includes a measuring rod 4, a driving motor, a sealing box 5, a measuring head 6, a bracket 2, an on-site controller 3 and a controller 1. The measuring rod 4 is located on the bracket 2, one end of the measuring rod 4 is connected to the driving motor, the other end of the measuring rod 4 passes through the sealing box 5 and is inserted into the flue 9 and then connected to the measuring head 6. The measuring head 6 is provided with a plurality of vibration meters 7 and an audio collector 8. The output ends of the vibration meters 7 and the audio collector 8 are connected to the input end of the on-site controller 3, and the on-site controller 3 is connected to the controller 1.

[0070] During operation, the controller 1 sends a measurement instruction to the local controller 3. The local controller 3 controls the driving motor to work according to the measurement instruction. The driving motor drives the measuring rod 4 to drive the measuring head 6 to extend out of the sealing box 5 and into the flue 9. The airflow sound information and vibration spectrum characteristic information of each measuring point in the flue 9 are measured by the vibrometer 7 and the audio collector 8, and are sent to the local controller 3 through a cable, and then forwarded to the controller 1 via the local controller 3.

[0071] To ensure the normal operation of the sensor, a compressed air or liquid cooling pipeline is provided in the measuring head 6 of the present invention for cooling the vibration meter 7 and the audio collector 8 to avoid damage to the sensor caused by a high temperature environment.

[0072] It should be noted that the process of determining the size of the measuring head 6 and the number of sensors is as follows:

[0073] Assume that the length of the flue 9 is L, the height is H, the number of measuring points in the length direction is N, and the number of measuring points in the height direction is M. It should be noted that in order to ensure that the measurement has sufficient representativeness and accuracy, the number of measuring points should match the spatial scale, that is, the larger the measuring length, the more measuring points should be. The lower limit of the number of measuring points is given to ensure the accuracy of the measurement results, that is: N ≥ 6, M ≥ 6. The cross section of the flue 9 is divided into N × M measuring points at equal distances. The arrangement of the measuring points is as follows: Figure 5 shown.

[0074] The length of the measuring head 6 can ensure that the data at M points can be fully measured, and the length of the measuring rod 4 can ensure that the data at N points can be fully measured.

[0075] The sealed box 5 is an additional storage space on the flue 9. When no measurement work is performed, the measuring head 6 will be stored in the sealed box 5 under the control of the local controller 3 to avoid flue gas scouring, wear and dust accumulation.

[0076] After the measurement is completed, the measured airflow sound information and vibration spectrum characteristic information are packaged together with the unit's operating condition support parameters and stored in the ash pollution characteristic field history library.

[0077] 22) Analyze and process the historical database of ash pollution characteristic fields to form a corresponding relationship between the working condition support parameters and the ash pollution characteristic fields.

[0078] The operation process of step 22) is:

[0079] 221) Screening valid data;

[0080] The data measured by the sensor may be distorted and untrue. By pre-setting filtering rules, abnormal data and obviously unreasonable data can be eliminated to obtain valid data.

[0081] According to the following conditions, use Python, C language or other programming languages ​​to write a program to screen the validity of a large amount of raw data collected by the sensor. The normal screening conditions include:

[0082] 2211) Working condition support parameter conditions:

[0083] a) Unit load>50% rated output;

[0084] b) The total coal quantity remains stable (fluctuation < ±3.0t / h) and the duration is >10min;

[0085] c) The total air volume remains stable (fluctuation < ±10.0t / h) and the duration is >10min.

[0086] Meeting the above conditions means that the unit has entered a "stable operating condition".

[0087] 2212) Parameter conditions of dust pollution characteristic field, i.e. the measurement data of patrol gun:

[0088] a) The measured frequency of airflow sound is greater than 3000 Hz;

[0089] b) The displacement value measured by the vibration meter is greater than 500μm;

[0090] If the above conditions are met, it can be ensured that the data measured by the sensor on the measuring head 6 is normal and reasonable, and has value for the next step of analysis and utilization.

[0091] 222) Data combination;

[0092] Heating surface Airflow sound frequency , Pipe vibration displacement The distribution field form is determined by the working condition support parameters at that time. Therefore, it is necessary to combine the working condition support parameters and the dust pollution characteristic field parameters at the same time. The dust pollution characteristic field parameters at a certain point are recorded as:

[0093] (Unit load, total coal volume, total air volume, airflow sound frequency, pipe vibration displacement, measuring point location number)

[0094] The (unit load, total coal volume, total air volume, airflow sound frequency, pipe vibration displacement, and measuring point location number) are recorded as data strips.

[0095] Under the condition that the working conditions remain unchanged, the data strip information of N×M measuring points on the cross section of the flue 9 is obtained, that is, the sound frequency distribution field and the tube amplitude distribution field of the entire cross section of the flue 9 are obtained.

[0096] 223) forming a three-dimensional dust feature field;

[0097] 2231) The data strips are grouped according to the rules (called "iso-operating condition groups") to form iso-operating condition groups, in which the data strips under iso-operating conditions are aggregated into the same group for analysis. The basis for division is: the total coal volume fluctuation within 10 minutes is less than ±3.0t / h, and the total air volume fluctuation is less than 10.0t / h. The data strips that meet the above conditions can enter the iso-operating condition group.

[0098] 2232) Get the horizon;

[0099] Statistical analysis was performed on the data within the equal working condition group to obtain the median of the sound frequency and vibration displacement within the equal working condition group. Referring to the surveying and mapping method of the topographic map, the median of the sound frequency or vibration displacement parameters in the equal working condition group was used as the 0-meter altitude line. Data greater than the median were located above the median plane, and data less than the median were located below the median plane.

[0100] 2233) Draw a 3D scatter plot and mark the data of the measurement points as follows: (x i ,y i ,z i ), where x and y represent the position of the measuring point on the cross section of the flue 9 being measured. Figure 5 Arrangement, Z represents the size of the value, and then according to the median plane, a 3D scatter plot of airflow sound frequency and a 3D scatter plot of pipe vibration displacement are formed, such as Figure 6 shown.

[0101] 224) Draw the original gray pollution feature field;

[0102] The 3D scatter plot of airflow sound frequency and the 3D scatter plot of pipe vibration displacement are processed as follows:

[0103] When a point is connected to its nearest points, two typical shapes will be obtained, namely "concave points" and "convex points", which look like peaks and valleys on a topographic map. After all the measurement points are connected, a sharp plane formed by several concave and convex points will be formed, which is called the "original feature field". Figure 7a and Figure 7b As shown;

[0104] 225) generating a gray pollution characteristic field;

[0105] 2251) smoothing processing;

[0106] The original feature field obtained in step 224) is smoothed according to the data fitting algorithm on the concave and convex points and their transition areas to obtain the smoothed feature field. The obtained morphology is as follows: Figure 8 As shown;

[0107] 2252) Coloring in layers;

[0108] The smoothed feature field is marked with different colors according to the Z-axis value to achieve the purpose of easy comparison and identification. The colored feature field is as follows Fig. 9 shown.

[0109] At this point, the data in a certain working condition group will form a gray pollution characteristic field according to the time axis, which can be recorded as: X year X month X day X hour X minute X second - working condition support parameters - gray pollution characteristic field. By using the many years of data accumulated in the server, several gray pollution characteristic fields can be obtained, and the above gray pollution characteristic fields are stored in the database to form a gray pollution characteristic field history library.

[0110] Artificial intelligence algorithms are used to perform machine learning on the historical database of ash pollution characteristic fields to obtain the corresponding relationship between the working condition support parameters and the ash pollution characteristic fields.

[0111] It should be noted that the present invention has the following characteristics:

[0112] The present invention is based on the real-time measurement of on-site airflow sound and vibration displacement characteristics, utilizes big data mining and artificial intelligence algorithms, obtains the ability to predict characteristic fields by learning historical dust pollution characteristic fields, and compares them with real-time dust pollution characteristic fields. The height difference and concentration difference of characteristic field data can be used to reliably characterize the degree of dust pollution on the heated surface.

[0113] Compared with the high-temperature camera method, the present invention overcomes the shortcomings of small detection range, high cost of full coverage detection, and difficulty in penetrating smoke and dust to see more areas; compared with the model calculation method, the full cross-section of the flue 9 is measured on-site in real time, including many measurement points, and the results represent the overall reliability of the flue 9, thereby greatly improving the accuracy of detection, making the present invention have higher engineering practicality.

[0114] Embodiment 2

[0115] The power plant boiler heating surface dust pollution detection system of the present invention comprises:

[0116] An acquisition module is used to obtain the operating condition support parameters of the current unit;

[0117] A search module, used for obtaining a predicted ash pollution characteristic field according to the operating condition support parameters of the current unit and the corresponding relationship between the operating condition support parameters and the ash pollution characteristic field;

[0118] A measurement module, used to measure airflow sound information and vibration spectrum characteristic information at several measuring points in the flue 9;

[0119] A construction module is used to construct a real-time dust pollution characteristic field according to the airflow sound information and vibration spectrum characteristic information at each measuring point in the flue 9 obtained by measurement;

[0120] The comparison module is used to compare the predicted ash pollution characteristic field with the real-time ash pollution characteristic field, and determine the ash pollution degree of the heating surface of the power plant boiler according to the comparison result.

[0121] The division of modules in the embodiments of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional module in each embodiment of the present application may be integrated into a processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0122] Embodiment 3

[0123] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for detecting ash pollution on the heating surface of a power plant boiler are implemented, for example, including: obtaining the operating condition support parameters of the current unit; obtaining the predicted ash pollution characteristic field according to the corresponding relationship between the operating condition support parameters and the ash pollution characteristic field based on the operating condition support parameters of the current unit; measuring the airflow sound information and vibration spectrum characteristic information at several measuring points in the flue 9; constructing a real-time ash pollution characteristic field based on the measured airflow sound information and vibration spectrum characteristic information at each measuring point in the flue 9; comparing the predicted ash pollution characteristic field with the real-time ash pollution characteristic field, and judging the ash pollution degree of the heating surface of the power plant boiler according to the comparison result. Wherein, the memory may include a memory, such as a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk memory, etc.; the processor, the network interface, and the memory are interconnected through an internal bus, and the internal bus may be an industrial standard architecture bus, a peripheral component interconnection standard bus, an extended industrial standard architecture bus, etc., and the bus may be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs, specifically, the programs may include program codes, and the program codes include computer operation instructions. The memory may include internal memory and non-volatile memory, and provide instructions and data to the processor.

[0124] Embodiment 4

[0125] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for detecting ash pollution on the heating surface of a power plant boiler are implemented, for example, including: obtaining the operating condition support parameters of the current unit; obtaining the predicted ash pollution characteristic field according to the corresponding relationship between the operating condition support parameters and the ash pollution characteristic field according to the operating condition support parameters of the current unit; measuring the airflow sound information and vibration spectrum characteristic information at several measuring points in the flue 9; constructing a real-time ash pollution characteristic field according to the measured airflow sound information and vibration spectrum characteristic information at each measuring point in the flue 9; comparing the predicted ash pollution characteristic field with the real-time ash pollution characteristic field, and judging the ash pollution degree of the heating surface of the power plant boiler according to the comparison result. Specifically, the computer-readable storage medium includes, but is not limited to, for example, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0126] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0127] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0128] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0129] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0130] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for detecting dust pollution on heating surfaces of power plant boilers, characterized in that: include: Get the operating condition support parameters of the current unit; According to the operating condition support parameters of the current unit, and according to the corresponding relationship between the operating condition support parameters and the ash pollution characteristic field, a predicted ash pollution characteristic field is obtained; Measuring airflow sound information and vibration spectrum characteristic information at a plurality of measuring points in the flue (9); Constructing a real-time dust pollution characteristic field based on the airflow sound information and vibration spectrum characteristic information at each measuring point in the flue (9) obtained by measurement; The predicted ash pollution characteristic field is compared with the real-time ash pollution characteristic field, and the ash pollution degree of the heating surface of the power plant boiler is determined according to the comparison result.

2. The method for detecting ash contamination on heating surfaces of power plant boilers according to claim 1, characterized in that: The process of comparing the predicted ash pollution characteristic field with the real-time ash pollution characteristic field and judging the ash pollution degree of the heating surface of the power plant boiler according to the comparison result is as follows: Calculate the height difference and concentration between the predicted dust pollution characteristic field and the real-time dust pollution characteristic field; The degree of ash pollution on the heating surface of the power plant boiler is determined based on the height difference and concentration between the predicted ash pollution characteristic field and the real-time ash pollution characteristic field.

3. The method for detecting ash contamination on heating surfaces of power plant boilers according to claim 2, characterized in that: The operating condition support parameters of the current unit include unit load, total coal volume and total air volume.

4. The method for detecting ash contamination on heating surfaces of power plant boilers according to claim 1, characterized in that: Before obtaining the predicted ash pollution characteristic field according to the operating condition support parameters of the current unit and the corresponding relationship between the operating condition support parameters and the ash pollution characteristic field, the method further includes: Under normal circumstances, the airflow sound information and vibration spectrum characteristic information of each measuring point in the flue (9) are measured under different working condition support parameters, and each working condition support parameter and its corresponding airflow sound information and vibration spectrum characteristic information of each measuring point in the flue (9) are combined into a data strip, and stored in the dust pollution characteristic field history library; A dust pollution characteristic field is generated according to the data in the dust pollution characteristic field history library to form a corresponding relationship between the working condition support parameters and the dust pollution characteristic field.

5. The method for detecting ash contamination on heating surfaces of power plant boilers according to claim 4, characterized in that: The process of generating the dust pollution characteristic field according to the data in the dust pollution characteristic field history library to form the corresponding relationship between the working condition support parameter and the dust pollution characteristic field is as follows: Preprocess the data in the historical database of the gray pollution characteristic field; Grouping the data strips in the gray pollution characteristic field history library to form equal operating condition groups; Taking the median of the sound frequency and the median of the vibration displacement in the equal working condition group as the zero altitude, the sound frequencies and vibration displacements in the equal working condition group are discretely distributed according to the numerical values ​​to form a 3D scatter plot of the sound frequency and a 3D scatter plot of the vibration displacement; Connecting each point in the sound frequency 3D scatter plot and its adjacent points, and connecting each point in the vibration displacement 3D scatter plot and its adjacent points to form an original characteristic field of sound frequency and an original characteristic field of vibration displacement; The sound frequency original characteristic field and the vibration displacement original characteristic field are smoothed and rendered to obtain a gray pollution characteristic field.

6. The method for detecting ash contamination on heating surfaces of power plant boilers according to claim 7, characterized in that: The process of preprocessing the data in the gray pollution feature field history library is as follows: Screen the data in the historical database of gray pollution characteristic fields.

7. The method for detecting ash contamination on heating surfaces of power plant boilers according to claim 1, characterized in that: The measurement system measures the airflow sound information and vibration spectrum characteristic information at a plurality of measurement points in the flue (9).

8. The method for detecting ash contamination on heating surfaces of power plant boilers according to claim 7, characterized in that: The measuring system comprises a measuring rod (4), a driving motor, a sealing box (5), a measuring head (6), a bracket (2), an on-site controller (3) and a controller (1). The measuring rod (4) is located on the bracket (2). One end of the measuring rod (4) is connected to the driving motor. The other end of the measuring rod (4) passes through the sealing box (5) and is inserted into the flue (9) and then connected to the measuring head (6). The measuring head (6) is provided with a plurality of vibration meters (7) and an audio collector (8). The output ends of the vibration meters (7) and the audio collector (8) are connected to the input end of the on-site controller (3). The on-site controller (3) is connected to the controller (1).

9. The method for detecting ash contamination on heating surfaces of power plant boilers according to claim 8, characterized in that: During operation, the controller (1) sends a measurement instruction to the local controller (3), and the local controller (3) controls the driving motor to operate according to the measurement instruction. The driving motor drives the measuring rod (4) to drive the measuring head (6) to extend from the sealing box (5) and into the flue (9), and measures the airflow sound information and vibration spectrum characteristic information of each measuring point in the flue (9) through the vibration meter (7) and the audio collector (8), and sends the information to the local controller (3) through the cable, and then forwards it to the controller (1) through the local controller (3).

10. A power plant boiler heating surface dust pollution detection system, characterized in that: include: An acquisition module is used to obtain the operating condition support parameters of the current unit; A search module, used for obtaining a predicted ash pollution characteristic field according to the operating condition support parameters of the current unit and the corresponding relationship between the operating condition support parameters and the ash pollution characteristic field; A measurement module, used to measure airflow sound information and vibration spectrum characteristic information at a plurality of measurement points in the flue (9); A construction module is used to construct a real-time dust pollution characteristic field based on the airflow sound information and vibration spectrum characteristic information at each measuring point in the flue (9) obtained by measurement; The comparison module is used to compare the predicted ash pollution characteristic field with the real-time ash pollution characteristic field, and determine the ash pollution degree of the heating surface of the power plant boiler according to the comparison result.

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