Boiler slagging prediction method and system, computer equipment and storage medium

Abstract

The invention provides a boiler slagging prediction method and system, computer equipment and a storage medium, and belongs to the technical field of boiler slagging prediction. And historical boiler operation parameters from the set range ECR working condition to the 100% ECR working condition and from the 100% ECR working condition to the 100% BMCR working condition are obtained. The method comprises the following steps of: obtaining a slagging coefficient according to the size relationship among a unit load value, a coal feeding amount of a coal pulverizing system, a low-level heating value of fuel and a hearth outlet temperature under the conditions from a set range ECR working condition to a 100% ECR working condition and from the 100% ECR working condition to a 100% BMCR working condition; the unit load value, the coal feeding amount of the coal pulverizing system, the low heating amount of the fuel and the outlet temperature of the hearth are all average values of the selected historical time periods. And judging whether a slagging risk exists or not according to the slagging coefficient, a first maximum slagging coefficient from the set range ECR working condition to the 100% ECR working condition and a second maximum slagging coefficient from the 100% ECR working condition to the 100% BMCR working condition. According to the invention, the problem of low accuracy of boiler slagging judgment in the prior art is effectively solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of boiler slagging prediction, and in particular relates to a boiler slagging prediction method, system, computer equipment and storage medium. Background Art

[0002] The problem of soot and slagging on the heating surface of the boiler furnace often affects the safe operation of the boiler. Soot blowing and slagging treatment have become regular tasks in daily boiler operation to eliminate the impact of soot and slagging on the heating surface of the boiler furnace on the safety and economy of the boiler. However, there are no clear regulations on the specific time period for soot blowing and slagging treatment and the pressure for soot blowing. Most boiler operators rely on their inherent experience to operate and are unable to monitor and analyze the collected data in real time.

[0003] For example, the patent document with the authorization announcement number CN110455854B discloses a method for monitoring ash and slag on the heating surface. The slag monitoring method compares the size relationship between the heat flux density difference and the ash and slag warning value to warn of the serious ash and slag accumulation in the boiler. However, the slag monitoring method only considers the temperature signal when calculating the heat flux density, and does not consider other factors that affect the slag of the boiler, which will lead to low accuracy in judging the slag of the boiler.

[0004] In summary, the existing boiler slagging prediction methods have the problem of low accuracy in judging boiler slagging. Summary of the invention

[0005] The object of the present invention is to provide a boiler slagging prediction method, system, computer equipment and storage medium, which are used to solve the problem of low accuracy in boiler slagging judgment in the prior art.

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] In a first aspect, the present invention provides a boiler slagging prediction method, the boiler slagging prediction method comprising the following steps:

[0008] 1) Obtaining historical boiler operating parameters in the setting range from ECR condition to 100% ECR condition and from 100% ECR condition to 100% BMCR condition, wherein the historical boiler operating parameters include unit load value, coal feed rate of pulverizing system, low calorific value of fuel and furnace outlet temperature;

[0009] 2) The slagging coefficient is obtained by using the relationship between the unit load value, the coal feed rate of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature under the setting range of ECR ​​condition to 100% ECR condition and 100% ECR condition to 100% BMCR condition in step 1), wherein the unit load value, the coal feed rate of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature are all average values ​​of the selected historical period;

[0010] 3) Determine whether there is a slagging risk based on the relationship between the slagging coefficient and the first maximum slagging coefficient in the setting range from ECR conditions to 100% ECR conditions and the second maximum slagging coefficient in the setting range from 100% ECR conditions to 100% BMCR conditions, wherein the first maximum slagging coefficient refers to the maximum value of the slagging coefficient in the setting range from ECR conditions to 100% ECR conditions, and the second maximum slagging coefficient refers to the maximum value of the slagging coefficient in the setting range from 100% ECR conditions to 100% BMCR conditions.

[0011] A further improvement of the present invention is that the boiler slagging prediction method also includes when the slagging coefficient is greater than or equal to the first maximum slagging coefficient in the set range from ECR conditions to 100% ECR conditions, or the slagging coefficient is greater than or equal to the second maximum slagging coefficient in the set range from ECR conditions to 100% BMCR conditions, it indicates that there is a slagging risk; when the slagging coefficient is less than the first maximum slagging coefficient in the set range from ECR conditions to 100% ECR conditions, or the slagging coefficient is less than the second maximum slagging coefficient in the set range from ECR conditions to 100% BMCR conditions, it indicates that there is no slagging risk.

[0012] A further improvement of the present invention is that the calculation formula of the slagging coefficient is:

[0013]

[0014] Among them, K is the slagging coefficient, Ttz is the furnace outlet temperature, Wtz is the unit load value, and Etz is the heat input of the fuel;

[0015] The calculation formula for the heat input Etz of fuel is:

[0016] Etz=Qtz×Ftz

[0017] Among them, Qtz is the low calorific value of fuel, and Ftz is the coal feeding amount of pulverizing system;

[0018] The calculation formula of the unit load value Wtz is:

[0019]

[0020] The calculation formula for the coal feeding amount Ftz of the pulverizing system is:

[0021]

[0022] The calculation formula of fuel low calorific value Qtz is:

[0023]

[0024] The calculation formula of furnace outlet temperature Ftz is:

[0025]

[0026] Among them, t0 and t1 are the start time and end time of the selected historical period respectively, W is the unit load, F is the coal feed rate of the pulverizing system in the selected historical period, Q is the low calorific value of the fuel in the selected historical period, T is the furnace outlet temperature in the selected historical period, and n is the number of sample values ​​stored in the selected historical period.

[0027] A further improvement of the present invention is that the historical period refers to any period of time including the rated load and the maximum load.

[0028] A further improvement of the present invention is that the setting range is 50%-99%.

[0029] A further improvement of the present invention is that when the values ​​of the historical boiler operating parameters fluctuating up and down are the preset fluctuation thresholds, they are the same operating condition.

[0030] In a second aspect, the present invention provides a boiler slagging prediction system, which includes a data acquisition module, a slagging coefficient calculation module and a boiler slagging risk judgment module;

[0031] The data acquisition module is used to acquire historical boiler operating parameters in the setting range from ECR working condition to 100% ECR working condition and from 100% ECR working condition to 100% BMCR working condition, wherein the historical boiler operating parameters include unit load value, coal feed rate of pulverizing system, low calorific value of fuel and furnace outlet temperature;

[0032] The slagging coefficient calculation module is used to obtain the slagging coefficient by using the relationship between the unit load value, the coal feed rate of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature under the setting range of ECR ​​working condition to 100% ECR working condition and 100% ECR working condition to 100% BMCR working condition, wherein the unit load value, the coal feed rate of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature are all average values ​​of the selected historical period;

[0033] The boiler slagging risk judgment module is used to judge whether there is a slagging risk based on the relationship between the slagging coefficient and the first maximum slagging coefficient in the setting range from ECR conditions to 100% ECR conditions and the second maximum slagging coefficient in the setting range from 100% ECR conditions to 100% BMCR conditions. The first maximum slagging coefficient refers to the maximum value of the slagging coefficient in the setting range from ECR conditions to 100% ECR conditions, and the second maximum slagging coefficient refers to the maximum value of the slagging coefficient in the setting range from 100% ECR conditions to 100% BMCR conditions.

[0034] A further improvement of the present invention is that the boiler slagging risk judgment module further judges whether there is a slagging risk according to the following method:

[0035] When the slagging coefficient is greater than or equal to the first maximum slagging coefficient in the setting range from ECR conditions to 100% ECR conditions, or the slagging coefficient is greater than or equal to the second maximum slagging coefficient in the setting range from ECR conditions to 100% BMCR conditions, it indicates that there is a slagging risk; when the slagging coefficient is less than the first maximum slagging coefficient in the setting range from ECR conditions to 100% ECR conditions, or the slagging coefficient is less than the second maximum slagging coefficient in the setting range from ECR conditions to 100% BMCR conditions, it indicates that there is no slagging risk.

[0036] In a third aspect, the present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the boiler slagging prediction method introduced above when executing the computer program.

[0037] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the boiler slagging prediction method introduced above.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The present invention belongs to an improved invention. Compared with the existing boiler slagging prediction method, the boiler slagging prediction method proposed by the present invention first obtains the slagging coefficient by using the relationship between the unit load value, the coal feeding amount of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature under the setting range of ECR ​​working conditions to 100% ECR working conditions and 100% ECR working conditions to 100% BMCR working conditions, and then judges whether there is a slagging risk according to the relationship between the slagging coefficient and the first maximum slagging coefficient under the setting range of ECR ​​working conditions to 100% ECR working conditions and the second maximum slagging coefficient under the setting range of 100% ECR working conditions to 100% BMCR working conditions. It can be seen that the slagging coefficient used by the present invention when judging whether there is a slagging risk fully considers the four factors that may affect the slagging risk, and the factors considered are relatively comprehensive and comprehensive, which effectively solves the problem of low accuracy in judging boiler slagging in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 The figure is a flow chart of the boiler slagging prediction method of the present invention. DETAILED DESCRIPTION

[0041] In order to further understand the content of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the embodiments are only for explaining the present invention and are not intended to limit it.

[0042] The boiler slagging prediction method proposed in the present invention first obtains the slagging coefficient by using the relationship between the unit load value, the coal feeding amount of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature under the setting range of ECR ​​working conditions to 100% ECR working conditions and 100% ECR working conditions to 100% BMCR working conditions, and then judges whether there is a slagging risk according to the relationship between the slagging coefficient and the first maximum slagging coefficient under the setting range of ECR ​​working conditions to 100% ECR working conditions and the second maximum slagging coefficient under the setting range of 100% ECR working conditions to 100% BMCR working conditions. Compared with the prior art, the present invention effectively solves the problem of low accuracy in judging boiler slagging in the prior art.

[0043] Embodiment of boiler slagging prediction method:

[0044] The flow chart of the boiler slagging prediction method of the present invention is as follows Figure 1 As shown, the technical solution of the present invention is specifically described as follows:

[0045] 1. Obtain historical boiler operating parameters from 50% ECR condition to 100% ECR condition and from 100% ECR condition to 100% BMCR condition.

[0046] First, the historical boiler operating parameters from 50% ECR (Economical Continuous Rating) to 100% ECR and from 100% ECR to 100% BMCR (Boiler Maximum Continuous Rating) are obtained. The historical boiler operating parameters include the unit load value, the coal feed rate of the pulverizing system, the low calorific value of the fuel, and the furnace outlet temperature. When the fluctuation value of the historical boiler operating parameters is the preset fluctuation threshold, it is the same operating condition.

[0047] 2. The slagging coefficient is obtained by using the relationship between the unit load value, the coal supply of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature.

[0048] The slagging coefficient is obtained by using the relationship between the unit load value, coal feed rate of the pulverizing system, low calorific value of the fuel and the furnace outlet temperature under the conditions of 50% ECR to 100% ECR and from 100% ECR to 100% BMCR in step 1. The unit load value, coal feed rate of the pulverizing system, low calorific value of the fuel and furnace outlet temperature are all average values ​​of the selected historical period.

[0049] The calculation formula of the above slagging coefficient is:

[0050]

[0051] Among them, K is the slagging coefficient, Ttz is the furnace outlet temperature, Wtz is the unit load value, and Etz is the heat input by the fuel. The calculation formula for the heat input by the fuel Etz is:

[0052] Ftz=Qtz×Ftz

[0053] Among them, Qtz is the low calorific value of the fuel, and Ftz is the coal feed rate of the pulverizing system.

[0054] The calculation formula of the unit load value Wtz is:

[0055]

[0056] The calculation formula for the coal feeding amount Ftz of the pulverizing system is:

[0057]

[0058] The calculation formula of fuel low calorific value Qtz is:

[0059]

[0060] The calculation formula of furnace outlet temperature Ftz is:

[0061]

[0062] Among them, t0 and t1 are the start time and end time of the selected historical period, W is the unit load, F is the coal feeding amount of the pulverizing system in the selected historical period, Q is the low calorific value of the fuel in the selected historical period, T is the furnace outlet temperature in the selected historical period, and n is the number of sample values ​​stored in the selected historical period. The above historical period refers to any period of time including the rated load and the maximum load.

[0063] 3. Determine whether there is a risk of slagging.

[0064] Finally, the existence of slagging risk is judged based on the relationship between the slagging coefficient and the first maximum slagging coefficient under 50% ECR condition to 100% ECR condition and the second maximum slagging coefficient under 100% ECR condition to 100% BMCR condition. The specific judgment conditions are as follows:

[0065] 1) When the slagging coefficient K is greater than or equal to 50% ECR working condition to 100% ECR working condition, the first maximum slagging coefficient K 1max Or the slagging coefficient K is greater than or equal to the second maximum slagging coefficient K under 100% ECR condition to 100% BMCR condition 2max When , it indicates that there is a risk of slagging;

[0066] 2) When the slagging coefficient K is less than 50% ECR condition to the first maximum slagging coefficient K under 100% ECR condition 1max Or the slagging coefficient K is less than the second maximum slagging coefficient K under 100% ECR condition to 100% BMCR condition 2max , it means there is no slagging risk.

[0067] The first maximum slagging coefficient K 1max Refers to the maximum slagging coefficient under 50% ECR condition to 100% ECR condition, the second maximum slagging coefficient K 2max It refers to the maximum value of the slagging coefficient under 100% ECR conditions to 100% BMCR conditions.

[0068] In this embodiment, 50% of the 50% ECR condition can be set according to actual needs, and the setting range is 50%-99%. The preset fluctuation threshold in this embodiment is 2%, and the upper and lower fluctuation range of the historical boiler operating parameter value can also be set according to actual needs.

[0069] In order to verify the effectiveness of the boiler slagging prediction method proposed in the present invention, this embodiment is tested on a boiler in a certain factory. The rated evaporation capacity of the boiler in the factory is 440t / h, the low calorific value of the fuel is 20000KJ / Kg, and the first maximum slagging coefficient K is 0.03477 W / kg under the conditions of 50% ECR to 100% ECR in a certain period of time.1max =0.18, the second maximum slagging coefficient K under 100% ECR condition to 100% BMCR condition 2max =0.23, where a certain period of time can be any selected period of time, and the slagging coefficient K calculated within the selected period of time is greater than or equal to the first maximum slagging coefficient K under 50% ECR condition to 100% ECR condition 1max Or the slagging coefficient K calculated within any selected period of time is greater than or equal to the second maximum slagging coefficient K under 100% ECR condition to 100% BMCR condition 2max , both indicate the risk of slagging.

[0070] Example of boiler slagging prediction system:

[0071] The boiler slagging prediction system includes a data acquisition module, a slagging coefficient calculation module and a boiler slagging risk judgment module. The data acquisition module is used to obtain the historical boiler operating parameters from 60% ECR to 100% ECR and from 100% ECR to 100% BMCR. The historical boiler operating parameters include unit load value, coal feeding amount of pulverizing system, low calorific value of fuel and furnace outlet temperature. The slagging coefficient calculation module is used to obtain the slagging coefficient by using the relationship between the unit load value, coal feeding amount of pulverizing system, low calorific value of fuel and furnace outlet temperature under 60% ECR to 100% ECR and from 100% ECR to 100% BMCR conditions. The unit load value, coal feeding amount of pulverizing system, low calorific value of fuel and furnace outlet temperature are all average values ​​of the selected historical period. The boiler slagging risk judgment module is used to judge whether there is a slagging risk based on the relationship between the slagging coefficient and the first maximum slagging coefficient under 60% ECR conditions to 100% ECR conditions and the second maximum slagging coefficient under 100% ECR conditions to 100% BMCR conditions. The first maximum slagging coefficient refers to the maximum value of the slagging coefficient under 60% ECR conditions to 100% ECR conditions, and the second maximum slagging coefficient refers to the maximum value of the slagging coefficient under 100% ECR conditions to 100% BMCR conditions. In this embodiment, the boiler slagging prediction system uses the data acquisition module, the slagging coefficient calculation module and the boiler slagging risk judgment module to judge whether there is a slagging risk. The specific process is as follows Figure 1 The specific process is as follows:

[0072] 1. Obtain historical boiler operating parameters from 60% ECR condition to 100% ECR condition and from 100% ECR condition to 100% BMCR condition.

[0073] First, the historical boiler operating parameters from 60% ECR (Economical Continuous Rating) to 100% ECR and from 100% ECR to 100% BMCR (Boiler Maximum Continuous Rating) are obtained. The historical boiler operating parameters include the unit load value, the coal feed rate of the pulverizing system, the low calorific value of the fuel, and the furnace outlet temperature. When the fluctuation value of the historical boiler operating parameters is the preset fluctuation threshold, it is the same operating condition.

[0074] 2. The slagging coefficient is obtained by using the relationship between the unit load value, the coal supply of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature.

[0075] The slagging coefficient is obtained by using the relationship between the unit load value, coal feed rate of the pulverizing system, low calorific value of the fuel and the furnace outlet temperature under the conditions of 60% ECR to 100% ECR and from 100% ECR to 100% BMCR in step 1. The unit load value, coal feed rate of the pulverizing system, low calorific value of the fuel and furnace outlet temperature are all average values ​​of the selected historical period.

[0076] The calculation formula of the above slagging coefficient is:

[0077]

[0078] Among them, K is the slagging coefficient, Ttz is the furnace outlet temperature, Wtz is the unit load value, and Etz is the heat input by the fuel. The calculation formula for the heat input by the fuel Etz is:

[0079] Etz=Qtz×Ftz

[0080] Among them, Qtz is the low calorific value of the fuel, and Ftz is the coal feed rate of the pulverizing system.

[0081] The calculation formula of the unit load value Wtz is:

[0082]

[0083] The calculation formula for the coal feeding amount Ftz of the pulverizing system is:

[0084]

[0085] The calculation formula of fuel low calorific value Qtz is:

[0086]

[0087] The calculation formula of furnace outlet temperature Ttz is:

[0088]

[0089] Among them, t0 and t1 are the start time and end time of the selected historical period, W is the unit load, F is the coal feeding amount of the pulverizing system in the selected historical period, Q is the low calorific value of the fuel in the selected historical period, T is the furnace outlet temperature in the selected historical period, and n is the number of sample values ​​stored in the selected historical period. The above historical period refers to any period of time including the rated load and the maximum load.

[0090] 3. Determine whether there is a risk of slagging.

[0091] The existence of slagging risk is determined based on the relationship between the slagging coefficient and the first maximum slagging coefficient under 60% ECR to 100% ECR conditions and the second maximum slagging coefficient under 100% ECR to 100% BMCR conditions. The specific judgment conditions are as follows:

[0092] 1) When the slagging coefficient K is greater than or equal to 60% ECR working condition to 100% ECR working condition, the first maximum slagging coefficient K 1max Or the slagging coefficient K is greater than or equal to the second maximum slagging coefficient K under 100% ECR condition to 100% BMCR condition 2max When , it indicates that there is a risk of slagging;

[0093] 2) When the slagging coefficient K is less than 60% ECR condition to the first maximum slagging coefficient K under 100% ECR condition 1max Or the slagging coefficient K is less than the second maximum slagging coefficient K under 100% ECR condition to 100% BMCR condition 2max , it means there is no slagging risk.

[0094] The first maximum slagging coefficient K 1max Refers to the maximum value of the slagging coefficient under 60% ECR condition to 100% ECR condition, the second maximum slagging coefficient K 2max It refers to the maximum value of the slagging coefficient under 100% ECR conditions to 100% BMCR conditions.

[0095] In this embodiment, 60% of the 60% ECR condition can be set according to actual needs, and the setting range is 60%-99%. The preset fluctuation threshold in this embodiment is 3%, and the upper and lower fluctuation range of the historical boiler operating parameter value can also be set according to actual needs.

[0096] Example of computer device:

[0097] The 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 boiler slagging prediction method described above is implemented. This embodiment refers to the embodiment of the boiler slagging prediction method, which will not be described in detail here.

[0098] The computer program may be divided into one or more modules / units, and one or more modules / units are stored in a memory and executed by a processor to implement the boiler slagging prediction method introduced above.

[0099] The computer device may be a desktop computer, a notebook computer, a handheld computer, a cloud server, or other computing devices.

[0100] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0101] The memory may be used to store the above-mentioned computer programs and / or modules, and the above-mentioned processor implements various functions of the above-mentioned computer device by running or executing the computer programs and / or modules stored in the above-mentioned memory, and calling the data stored in the memory.

[0102] Embodiments of computer readable storage media:

[0103] The computer readable storage medium stores a computer program, and when the computer program is executed by the processor, the above-mentioned boiler slagging prediction method is implemented. This embodiment refers to the embodiment of the boiler slagging prediction method, which will not be repeated here.

[0104] The computer program includes computer program code, which may be in source code form, object code form, executable file or some intermediate form.

[0105] Computer-readable storage media may include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, mobile hard disks, magnetic disks, optical disks, computer memories, read-only memories (ROM), random access memories (RAM), electric carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the contents contained in computer-readable storage media may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electric carrier signals and telecommunication signals.

[0106] 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 boiler slagging prediction method, characterized in that: The boiler slagging prediction method comprises the following steps: 1) Obtaining historical boiler operating parameters in the setting range from ECR condition to 100% ECR condition and from 100% ECR condition to 100% BMCR condition, wherein the historical boiler operating parameters include unit load value, coal feed rate of pulverizing system, low calorific value of fuel and furnace outlet temperature; 2) The slagging coefficient is obtained by using the relationship between the unit load value, the coal feed rate of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature in the setting range from ECR condition to 100% ECR condition and from 100% ECR condition to 100% BMCR condition in step 1), wherein the unit load value, the coal feed rate of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature are all average values ​​of the selected historical period; 3) Determine whether there is a slagging risk based on the relationship between the slagging coefficient and the first maximum slagging coefficient in the setting range from ECR conditions to 100% ECR conditions and the second maximum slagging coefficient in the setting range from 100% ECR conditions to 100% BMCR conditions, wherein the first maximum slagging coefficient refers to the maximum value of the slagging coefficient in the setting range from ECR conditions to 100% ECR conditions, and the second maximum slagging coefficient refers to the maximum value of the slagging coefficient in the setting range from 100% ECR conditions to 100% BMCR conditions.

2. The boiler slagging prediction method according to claim 1, characterized in that: The boiler slagging prediction method also includes the following: when the slagging coefficient is greater than or equal to the first maximum slagging coefficient in the set range from ECR conditions to 100% ECR conditions, or the slagging coefficient is greater than or equal to the second maximum slagging coefficient in the set range from ECR conditions to 100% BMCR conditions, it indicates that there is a slagging risk; when the slagging coefficient is less than the first maximum slagging coefficient in the set range from ECR conditions to 100% ECR conditions, or the slagging coefficient is less than the second maximum slagging coefficient in the set range from ECR conditions to 100% BMCR conditions, it indicates that there is no slagging risk.

3. The boiler slagging prediction method according to claim 2, characterized in that: The calculation formula of the slagging coefficient is: Among them, K is the slagging coefficient, Ttz is the furnace outlet temperature, Wtz is the unit load value, and Etz is the heat input of the fuel; The calculation formula for the heat input Etz of fuel is: Etz=Qtz×Ftz Among them, Qtz is the low calorific value of fuel, and Ftz is the coal feeding amount of pulverizing system; The calculation formula of the unit load value Wtz is: The calculation formula for the coal feeding amount Ftz of the pulverizing system is: The calculation formula of fuel low calorific value Qtz is: The calculation formula of furnace outlet temperature Ttz is: Among them, t0 and t1 are the start time and end time of the selected historical period respectively, W is the unit load, F is the coal feed rate of the pulverizing system in the selected historical period, Q is the low calorific value of the fuel in the selected historical period, T is the furnace outlet temperature in the selected historical period, and n is the number of sample values ​​stored in the selected historical period.

4. The boiler slagging prediction method according to claim 3, characterized in that: The historical period refers to any period of time including the rated load and the maximum load.

5. The boiler slagging prediction method according to claim 1, characterized in that: The setting range is 50%-99%.

6. The boiler slagging prediction method according to claim 1, characterized in that: When the historical boiler operating parameter fluctuations are equal to the preset fluctuation threshold, they are in the same operating condition.

7. A boiler slagging prediction system, characterized in that: The boiler slagging prediction system includes a data acquisition module, a slagging coefficient calculation module and a boiler slagging risk judgment module; The data acquisition module is used to acquire historical boiler operating parameters in the setting range from ECR working condition to 100% ECR working condition and from 100% ECR working condition to 100% BMCR working condition, wherein the historical boiler operating parameters include unit load value, coal feed rate of pulverizing system, low calorific value of fuel and furnace outlet temperature; The slagging coefficient calculation module is used to obtain the slagging coefficient by using the relationship between the unit load value, the coal feed rate of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature under the setting range of ECR ​​working condition to 100% ECR working condition and 100% ECR working condition to 100% BMCR working condition, wherein the unit load value, the coal feed rate of the pulverizing system, the low calorific value of the fuel and the furnace outlet temperature are all average values ​​of the selected historical period; The boiler slagging risk judgment module is used to judge whether there is a slagging risk based on the relationship between the slagging coefficient and the first maximum slagging coefficient in the setting range from ECR conditions to 100% ECR conditions and the second maximum slagging coefficient in the setting range from 100% ECR conditions to 100% BMCR conditions. The first maximum slagging coefficient refers to the maximum value of the slagging coefficient in the setting range from ECR conditions to 100% ECR conditions, and the second maximum slagging coefficient refers to the maximum value of the slagging coefficient in the setting range from 100% ECR conditions to 100% BMCR conditions.

8. The boiler slagging prediction system according to claim 7, characterized in that: The boiler slagging risk judgment module also judges whether there is a slagging risk according to the following method: When the slagging coefficient is greater than or equal to the first maximum slagging coefficient in the setting range from ECR conditions to 100% ECR conditions, or the slagging coefficient is greater than or equal to the second maximum slagging coefficient in the setting range from ECR conditions to 100% BMCR conditions, it indicates that there is a slagging risk; when the slagging coefficient is less than the first maximum slagging coefficient in the setting range from ECR conditions to 100% ECR conditions, or the slagging coefficient is less than the second maximum slagging coefficient in the setting range from ECR conditions to 100% BMCR conditions, it indicates that there is no slagging risk.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the boiler slagging prediction method according to any one of claims 1 to 6 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the boiler slagging prediction method according to any one of claims 1 to 6 is implemented.

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