Monomer Denitration Catalyst Module Activity Early Warning Method, Device and Medium

Abstract

The present invention discloses a method, device and medium for active warning of a single-denitration catalyst module. First, continuous-time series boundary conditions are constructed, and key operating parameters of a system with continuous-time series for real-time monitoring are selected; then, a mapping relationship between the continuous-time series boundary conditions and the flue gas operating parameters before each single-denitration catalyst module is established; further, a mapping relationship between the NOx concentration in the flue gas after each single-denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor is established; finally, an active warning method for the single-denitration catalyst module is constructed based on the above double mapping relationship. On the premise of establishing a numerical solution calculation model and a machine learning prediction model that can be used for real-time calculation, the method of the present invention proposes an active warning method for a single-denitration catalyst module that is suitable for industrial operating conditions, low-cost and refined, providing technical support for guiding the precise replacement of denitration catalysts and promoting the stable operation of the SCR denitration system.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal power engineering, and more specifically, to a method, device and medium for active warning of a single denitration catalyst module. Background Art

[0002] The Selective Catalyst Reduction (SCR) denitration system is widely used in the removal of nitrogen oxides (NOx) from the flue gas of boiler combustion. The prerequisite for its normal denitration function is to have a set of denitration catalysts that meet the process requirements. In engineering, these denitration catalysts are actually composed of multiple single denitration catalyst modules assembled together. However, with the increase in the operation time of the SCR denitration system and the adverse effects of factors such as sulfur dioxide, fly ash blockage and abrasion in the flue gas, the activity of the denitration catalyst shows an unpredictable trend of denitration activity decay. Simply and crudely replacing the entire set of denitration catalysts regularly has the significant disadvantage of high economic costs. Establishing a method for active warning of denitration catalysts to specifically guide the precise replacement of denitration catalysts and thus promote the stable operation of the SCR denitration system has important theoretical and applied research significance.

[0003] In this technical field, relevant researchers have carried out related research on the active warning of denitration catalysts. Patent CN201821455099.4 proposed an SCR catalyst online monitoring system to monitor and warn the activity of the catalyst. This method adopts the technical solution of arranging flue gas sampling above and below the catalytic layer to collect flue gas parameters, which is not suitable for flue gas sampling in a large flue duct cross-section, and the cost of designing and building due to arranging a large number of hardware facilities is relatively high; Patent CN201910654885.X proposed a method for predicting the process characteristic indexes of denitration catalysts based on measured data, which is only applicable to warning and evaluating the process characteristics of fresh denitration catalysts under laboratory conditions; Patent CN202311314880.5 proposed an SCR catalyst life warning method, system, equipment and medium. By obtaining key indexes of the SCR system and performing actual chemical reaction calculations, an evaluation index reflecting the current activity of the SCR catalyst is obtained, and the inactivation time of the catalyst is predicted using a regression curve. However, this method takes the entire set of SCR catalysts as the research object and fails to establish a differential and refined active warning method for single denitration catalyst modules. Similar problems and deficiencies also exist in patents CN201911260119.1, CN2020103301190, CN202310369273.2, CN202310310323.X, etc. Summary of the Invention

[0004] The present invention is provided to solve the above problems existing in the prior art. Therefore, there is a need for a method, device and medium for active warning of a single-denitration catalyst module to solve the problems that the active state of the SCR denitration system is unclear during industrial operation and the economic cost of regularly replacing the whole set of denitration catalysts is high under the existing technical conditions.

[0005] According to a first aspect of the present invention, there is provided a method for active warning of a single-denitration catalyst module, the method comprising:

[0006] Constructing continuous time series boundary conditions and obtaining key system operating parameters with continuous time series for real-time monitoring, the key system operating parameters including the flue gas operating parameters before each single-denitration catalyst module and the NOx concentration in the flue gas after each single-denitration catalyst module;

[0007] Establishing a mapping relationship between the continuous time series boundary conditions and the flue gas operating parameters before each single-denitration catalyst module;

[0008] Establishing a mapping relationship between the NOx concentration in the flue gas after each single-denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor;

[0009] Constructing an active warning model for the single-denitration catalyst module based on the mapping relationship between the continuous time series boundary conditions and the flue gas operating parameters before each single-denitration catalyst module and the mapping relationship between the NOx concentration in the flue gas after each single-denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor.

[0010] Further, the continuous time series boundary conditions include the flue duct cross-section inlet boundary and the ammonia injection grid inlet boundary; the flue duct cross-section inlet boundary refers to the flue gas volume and the inlet NOx concentration related to the operating time within the flue duct cross-section 500 mm to 1000 mm before the ammonia injection grid; the ammonia injection grid inlet boundary refers to the ammonia-air mixture flow rate related to the operating time injected into the flue duct by each sub-unit of the ammonia injection grid; the continuous time characteristics of the flue duct cross-section inlet boundary and the ammonia injection grid inlet boundary are consistent, and the continuous time interval of the continuous time series is 5 s to 10 s.

[0011] Further, the absolute height difference between the spatial position of the real-time monitoring cross-section of the flue gas operating parameters before each single-denitration catalyst module and the inlet cross-section of the first-layer catalyst, and the absolute height difference between the spatial position of the real-time monitoring cross-section of the NOx concentration in the flue gas after each single-denitration catalyst module and the outlet cross-section of the last-layer catalyst are both between 300 mm and 800 mm; the denitration catalysts of the SCR denitration system are loaded with multiple single-denitration catalyst modules having column and row characteristics, and the flue gas operating parameters before each single-denitration catalyst module and the NOx concentration in the flue gas after each single-denitration catalyst module are represented by the following formula:

[0012]

[0013] Wherein: (t k ) represents any k-th consecutive time interval included in the continuous time series; when , the matrix represents the flue gas operation parameters before each single-denitration catalyst module, are respectively the average value of the NOx flux and the ammonia volume concentration in the flue gas before the n-th row and the m-th column of the single-denitration catalyst module at the k-th moment, and the measurement units are mg / s and ppm respectively; at this time, the matrix D has a data capacity of 2m columns and n rows; when , the matrix represents the NOx concentration in the flue gas after each single-denitration catalyst module, is the NOx concentration in the flue gas after the n-th row and the m-th column of the single-denitration catalyst module at the k-th moment, and the measurement unit is mg / m 3 , and at this time, the matrix D has a data capacity of m columns and n rows.

[0014] Furthermore, the mapping relationship between the continuous time series boundary conditions and the flue gas operation parameters before each single-denitration catalyst module is a numerical solution calculation model for real-time calculation. The numerical solution calculation model is established through the geometric model of the SCR denitration system, grid division, and construction of the unsteady process mathematical model coupling the denitration chemical reaction. By inputting the continuous time series boundary conditions during the operation of the SCR denitration system into the numerical solution calculation model, the flue gas operation parameters before each single-denitration catalyst module are indirectly calculated and obtained.

[0015] Furthermore, the mapping relationship between the NOx concentration in the flue gas after each single-denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor is a machine learning prediction model for real-time calculation. The machine learning prediction model is obtained by training with a training data set.

[0016] Furthermore, the training data set includes the NOx concentration training data set in the flue gas after each single-denitration catalyst module and the NOx concentration training data set at the outlet of the SCR denitration reactor;

[0017] The NOx concentration training data set in the flue gas after each single-denitration catalyst module is indirectly calculated and obtained based on the mapping relationship between the continuous time series boundary conditions and the flue gas operation parameters before each single-denitration catalyst module, wherein the duration of the continuous time series boundary conditions is not less than 168h;

[0018] The training dataset of the NOx concentration at the outlet of the SCR denitration reactor is established by directly using the NOx concentration at the outlet of the reactor of the same SCR denitration system within the same continuous time period from the CEMS system.

[0019] Further, when using the training dataset for training to obtain the machine learning prediction model, the following training and prediction principles are followed:

[0020]

[0021] In the formula: f represents the mapping relationship represented by the machine learning prediction model for real-time calculation; represents the predicted value of the NOx concentration in the flue gas after the β-th row monomer denitration catalyst module in the α-th column at the k-th moment, 1 ≤ α ≤ m, 1 ≤ β ≤ n, and the measurement unit is mg / m 3 ; the matrix represents the dataset of the NOx concentration in the flue gas after each monomer denitration catalyst module required for training and prediction, and its internal element represents the actual value of the NOx concentration in the flue gas after the m-th column and n-th row monomer denitration catalyst module at the (k - 1)-th moment, and the measurement unit is mg / m 3 , and there is an equal time interval between the k-th moment and the (k - 1)-th moment; the element Null in the matrix represents a default value; represents the training dataset of the NOx concentration at the outlet of the SCR denitration reactor at the k-th moment and the NOx concentration at the outlet of the reactor of the same SCR denitration system directly taken from the CEMS system at the k-th moment, and the measurement unit is mg / m 3 .

[0022] Further, the activity warning model of the monomer denitration catalyst module diagnoses and warns the activity of the monomer denitration catalyst module in real time through the following judgment conditions:

[0023]

[0024] In the formula: ρ is the density of NOx in the flue gas of the SCR denitration system, and the measurement unit is mg / m 3 ; v load is the quantitative flue gas flow rate of the SCR denitration system, which is determined by the product of the designed maximum flue gas flow rate and the ratio of the actual boiler output to the designed boiler output, and the measurement unit is m / s; S is the flue duct cross-sectional area of the catalyst layer of the SCR denitration system, and the measurement unit is m 2 ; S α,β is the flue gas flow-through area of the monomer denitration catalyst module under study, and the measurement unit is m 2; ξ is the designed NOx reduction efficiency of the studied SCR denitration system; Ψ is the activity warning threshold of a single denitration catalyst module, taking values from 40% to 60%; W α,β is the activity status identifier of the single denitration catalyst module in the α-th column and β-th row. 1 indicates that the activity of this single denitration catalyst is warning deactivated and it is recommended to replace it at an opportune time; 0 indicates that the activity diagnosis of this single denitration catalyst is normal and it is recommended to continue using it.

[0025] According to the second aspect of the present invention, there is provided an activity warning device for a single denitration catalyst module, and the device includes:

[0026] A data acquisition unit configured to construct continuous time series boundary conditions and acquire key operating parameters of the system with continuous time series for real-time monitoring. The key operating parameters of the system include the flue gas operating parameters before each single denitration catalyst module and the NOx concentration in the flue gas after each single denitration catalyst module;

[0027] A first mapping establishment unit configured to establish a mapping relationship between the continuous time series boundary conditions and the flue gas operating parameters before each single denitration catalyst module;

[0028] A second mapping establishment unit configured to establish a mapping relationship between the NOx concentration in the flue gas after each single denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor;

[0029] An activity warning unit configured to construct an activity warning model for a single denitration catalyst module based on the mapping relationship between the continuous time series boundary conditions and the flue gas operating parameters before each single denitration catalyst module and the mapping relationship between the NOx concentration in the flue gas after each single denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor.

[0030] According to the third aspect of the present invention, there is provided a readable storage medium storing one or more programs, and the one or more programs can be executed by one or more processors to implement the method as described above.

[0031] The present invention has at least the following beneficial effects:

[0032] On the premise of establishing a numerical solution calculation model and a machine learning prediction model that can be used for real-time calculation, an activity warning scheme for a single denitration catalyst module that is suitable for industrial operating conditions, low-cost, and refined is proposed, providing technical support for guiding the precise replacement of denitration catalysts and promoting the stable operation of the SCR denitration system. Description of the Drawings

[0033] Figure 1 Shows a flowchart of an activity warning method for a single denitration catalyst module according to an embodiment of the present invention.

[0034] Figure 2 Shows a schematic structural diagram of a partition control type ammonia injection grid according to an embodiment of the present invention.

[0035] Figure 3 Shows a schematic diagram of the composition of a single-unit denitration catalyst module according to an embodiment of the present invention.

[0036] Figure 4 Shows a structural diagram of an active warning device for a single-unit denitration catalyst module according to an embodiment of the present invention. Detailed implementation manners

[0037] To enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and specific implementation manners. The embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments, but it is not a limitation to the present invention. For the various steps described herein, if there is no necessity for the front-back relationship between them, the order in which they are described as examples herein should not be regarded as a limitation, and those skilled in the art should know that they can be adjusted in order as long as the logic between them is not destroyed and the entire process cannot be realized.

[0038] An embodiment of the present invention provides a method for active warning of a single-unit denitration catalyst module. In this embodiment, the method is specifically implemented relying on the SCR denitration system of a 660MW coal-fired thermal power unit. This unit is equipped with a tangentially fired boiler at the corners; a partition control type ammonia injection grid is adopted, with a total of 3*8 sub-units of ammonia injection grids, as shown in the appendix Figure 2 shown; the denitration catalyst loading of this SCR denitration system consists of 7×10 single-unit denitration catalyst modules with the characteristics of 7 columns and 10 rows, as shown in the appendix Figure 3 shown; the NOx measurement at the outlet of the single-side reactor of the SCR denitration system adopts a single-point CEMS sampling measurement method.

[0039] As Figure 1 shown, it is a flowchart of the method for active warning of a single-unit denitration catalyst module. The specific implementation process of this method is as follows:

[0040] Step S1: Collect the historical operation data of the SCR denitration system of the studied 660MW coal-fired thermal power unit within the continuous time range from 00:00:00 on March 11, 2024 to 23:59:59 on March 20, 2024 to construct continuous time series boundary conditions, and select the key operating parameters of the system with continuous time series for real-time monitoring.

[0041] The inlet boundary of the flue gas cross-section takes the flue gas volume and the inlet NOx concentration related to the operation time within the flue gas cross-section 1000 mm before the ammonia injection grid. The inlet boundary of the ammonia injection grid takes the flow rate of the ammonia-air mixture injected into the flue gas by each sub-unit of the ammonia injection grid related to the operation time. The continuous time characteristics of the above two types of inlet boundaries are consistent, and the continuous time interval of the continuous time series is taken as 5 s.

[0042] The absolute height difference between the spatial position of the real-time monitoring cross-section of the flue gas operation parameters before each single denitration catalyst module and the first-layer catalyst inlet cross-section, and the absolute height difference between the spatial position of the real-time monitoring cross-section of the NOx concentration in the flue gas after each single denitration catalyst module and the last-layer catalyst outlet cross-section are both taken as 500 mm.

[0043] Thus, the key operation parameters of the system with a continuous time series for real-time monitoring are established, which is expressed in the following matrix form:

[0044]

[0045] In the formula: represents any k-th continuous time interval included in the continuous time series; when , the matrix represents the flue gas operation parameters before each single denitration catalyst module, are respectively the average value of the NOx flux and the ammonia volume concentration in the flue gas before the n-th row and the m-th column of the single denitration catalyst module at the k-th moment, and the measurement units are mg / s and ppm respectively; at this time, the matrix D has a data capacity of 2m columns and n rows; when , the matrix represents the NOx concentration in the flue gas after each single denitration catalyst module, is the NOx concentration in the flue gas after the n-th row and the m-th column of the single denitration catalyst module at the k-th moment, and the measurement unit is mg / m 3 , and at this time, the matrix D has a data capacity of m columns and n rows.

[0046] Step S2: Establish the mapping relationship between the boundary conditions of the continuous time series and the flue gas operation parameters before each single denitration catalyst module.

[0047] By establishing the geometric model of the SCR denitration system, grid division, and constructing the unsteady process mathematical model coupling the denitration chemical reaction, a numerical solution calculation model for real-time calculation can be established to realize the establishment of the mapping relationship described in this step S2. By inputting the boundary conditions of the continuous time series during the operation of the SCR denitration system, the flue gas operation parameters before each single denitration catalyst module can be indirectly calculated and obtained.

[0048] Step S3: Establish the mapping relationship between the NOx concentration in the flue gas after each single denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor;

[0049] In the specific implementation of step S3, two training data sets are established respectively. The training data set of the NOx concentration in the flue gas after each single-denitration catalyst module is indirectly calculated through the numerical solution calculation model for real-time calculation obtained in the above step S2. The duration of the continuous time series boundary conditions used is 240 h; the training data set of the NOx concentration at the outlet of the SCR denitration reactor is established by directly using the NOx concentration at the outlet of the reactor of the same SCR denitration system in the same continuous time period from the CEMS system.

[0050] Through the above two training data sets, a machine learning prediction model for real-time calculation is trained using the artificial neural network method to establish the mapping relationship described in this step. The machine learning prediction model follows the following principles during training and prediction:

[0051]

[0052] In the formula: f represents the mapping relationship represented by the machine learning prediction model for real-time calculation; represents the predicted value of the NOx concentration in the flue gas after the β-th row of the α-th column of the single-denitration catalyst module at the k-th moment, 1 ≤ α ≤ m, 1 ≤ β ≤ n, and the measurement unit is mg / m 3 ; the matrix represents the data set of the NOx concentration in the flue gas after each single-denitration catalyst module required for training and prediction, and its internal element represents the actual value of the NOx concentration in the flue gas after the m-th column and n-th row of the single-denitration catalyst module at the (k - 1)-th moment, and the measurement unit is mg / m 3 , and there is an equal time interval between the k-th moment and the (k - 1)-th moment; the element Null in the matrix represents a default value; represents the training data set of the NOx concentration at the outlet of the SCR denitration reactor at the k-th moment and the NOx concentration at the outlet of the reactor of the same SCR denitration system directly taken from the CEMS system at the k-th moment, and the measurement unit is mg / m 3 .

[0053] Step S4: Construct an activity warning model for the single-denitration catalyst module based on the above double mapping relationship.

[0054] At any moment during the real-time operation of the 660 MW coal-fired thermal power unit in this implementation case, the activity of the single-denitration catalyst module is diagnosed and warned in real time through the following judgment conditions:

[0055]

[0056] Where: ρ is the density of NOx in the flue gas of the SCR denitration system, and the measurement unit is mg / m 3 ; v load is the quantitative flue gas flow rate of the SCR denitration system, which is determined by the product of the maximum designed flue gas flow rate and the ratio of the actual boiler output to the designed boiler output, and the measurement unit is m / s; S is the cross-sectional area of the flue duct of the catalyst layer of the SCR denitration system, and the measurement unit is m 2 ; S α,β is the flue gas flow-through area of the monomer denitration catalyst module under study, and the measurement unit is m 2 ; ξ is the designed denitration efficiency of the SCR denitration system under study; ψ is the activity warning threshold of the monomer denitration catalyst module, taking 40% - 60%; W α,β is the activity status identifier of the monomer denitration catalyst module in the β-th row of the α-th column. 1 indicates that the activity warning of this monomer denitration catalyst is deactivated and it is recommended to replace it at an opportune time, and 0 indicates that the activity diagnosis of this monomer denitration catalyst is normal and it is recommended to continue using.

[0057] In this embodiment, an activity status identifier table of each monomer denitration catalyst module at any moment is formed for implementing the diagnosis and warning of the activity of the monomer denitration catalyst module. The activity status identifiers of each monomer denitration catalyst module in the initial stage of the operation of the SCR denitration system are shown in Table 1.

[0058] Table 1 Activity Status Identifier Table of Each Monomer Denitration Catalyst Module at Any Moment

[0059]

[0060]

[0061] In this embodiment, after the SCR denitration system is put into operation, the above judgment conditions are continuously executed, and the calculation result of the status identifier is updated once every 30 minutes. Once 1 appears in the calculation result of the above status identifier table, it indicates that the monomer denitration catalyst module at the corresponding position has a warning of inactivation and it is recommended to replace it at an opportune time

[0062] It can be illustrated by this embodiment that a method for warning the activity of a monomer denitration catalyst module disclosed by the present invention proposes a method for warning the activity of a monomer denitration catalyst module suitable for industrial operating conditions, low cost, and refinement on the premise of establishing a numerical solution calculation model and a machine learning prediction model that can be used for real-time calculation, providing technical support for guiding the precise replacement of denitration catalysts and promoting the stable operation of the SCR denitration system.

[0063] An embodiment of the present invention also provides an apparatus for warning the activity of a monomer denitration catalyst module, as Figure 4 shown. This apparatus 400 includes:

[0064] A data acquisition unit 401, configured to construct continuous time series boundary conditions and acquire key system operating parameters with continuous time series for real-time monitoring, where the key system operating parameters include flue gas operating parameters before each monomer denitration catalyst module and the NOx concentration in the flue gas after each monomer denitration catalyst module;

[0065] A first mapping establishment unit 402, configured to establish a mapping relationship between the continuous time series boundary conditions and the flue gas operating parameters before each monomer denitration catalyst module;

[0066] A second mapping establishment unit 403, configured to establish a mapping relationship between the NOx concentration in the flue gas after each monomer denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor;

[0067] An activity warning unit 404, configured to construct an activity warning model for the monomer denitration catalyst module based on the mapping relationship between the continuous time series boundary conditions and the flue gas operating parameters before each monomer denitration catalyst module and the mapping relationship between the NOx concentration in the flue gas after each monomer denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor.

[0068] It should be noted that the structures of the various devices described in this embodiment belong to the same inventive concept as the previously described method, and achieve the same technical effects through the same principle, which will not be elaborated here.

[0069] An embodiment of the present invention further provides a readable storage medium, where the readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the method described in any of the above embodiments.

[0070] In addition, although exemplary embodiments have been described herein, their scope includes any and all embodiments based on the present invention having equivalent elements, modifications, omissions, combinations (e.g., solutions that cross various embodiments), adaptations, or changes. The elements in the claims will be broadly interpreted based on the language used in the claims and are not limited to the examples described in this specification or during the implementation of this application, and the examples will be interpreted as non-exclusive. Therefore, this specification and examples are only to be considered as examples, and the true scope and spirit are indicated by the following claims and the full scope of their equivalents.

[0071] The above description is intended to be illustrative and not restrictive. For example, the above examples (or one or more aspects thereof) may be used in combination with each other. For instance, those of ordinary skill in the art may use other embodiments when reading the above description. Additionally, in the above detailed description, various features may be grouped together to simplify the present invention. This should not be construed as an intention that the features of an unclaimed invention are necessary for any claim. On the contrary, the subject matter of the present invention may be less than all of the features of a particular embodiment of the invention. Thus, the following claims are hereby incorporated into the detailed description by way of example or embodiment, where each claim independently serves as a separate embodiment, and it is contemplated that these embodiments may be combined with each other in various combinations or permutations. The scope of the present invention should be determined with reference to the appended claims and the full scope of equivalents to which those claims are entitled.

Claims

1. A monomer denitration catalyst module activity early warning method, characterized in that: The method comprises: Constructing continuous time series boundary conditions and obtaining key system operating parameters with continuous time series for real-time monitoring, wherein the key system operating parameters include flue gas operating parameters before each monomer denitration catalyst module and NOx concentration in flue gas after each monomer denitration catalyst module; Establish the mapping relationship between the continuous time series boundary conditions and the flue gas operation parameters before each monomer denitration catalyst module; Establish a mapping relationship between the NOx concentration in the flue gas after each monomer denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor; Based on the mapping relationship between the continuous time series boundary conditions and the flue gas operation parameters before each monomer denitration catalyst module and the mapping relationship between the NOx concentration in the flue gas after each monomer denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor, a monomer denitration catalyst module activity early warning model is constructed; The monomer denitration catalyst module activity early warning model diagnoses and warns the activity of the monomer denitration catalyst module in real time through the following judgment conditions: Where: ρ is the density of NOx in the flue gas of the SCR denitrification system, and the unit of measurement is mg / m 3 ;v load is the quantitative flue gas flow rate of the SCR denitration system, which is determined by the product of the designed maximum flue gas flow rate and the ratio of the actual boiler output to the designed boiler output, and the unit of measurement is m / s; S is the flue cross-sectional area of ​​the catalyst layer of the SCR denitration system, and the unit of measurement is m 2 ; S α,β is the flue gas flow area of ​​the single denitration catalyst module under study, measured in m 2 ξ is the design denitration efficiency of the SCR denitration system under study; Ψ is the activity warning threshold of the monomer denitration catalyst module, which is 40% to 60%; W α,β It is the activity status identifier of the monomer denitration catalyst module in the βth row in the αth column. 1 means that the activity warning of the monomer denitration catalyst is deactivated and it is recommended to replace it at an appropriate time. 0 means that the activity diagnosis of the monomer denitration catalyst is normal and it is recommended to continue to use it.

2. The method according to claim 1, characterized in that The continuous time series boundary conditions include the flue section inlet boundary and the ammonia injection grid inlet boundary; the flue section inlet boundary refers to the flue gas volume and inlet NOx concentration related to the operating time in the flue section 500mm to 1000mm in front of the ammonia injection grid; the ammonia injection grid inlet boundary refers to the ammonia-air mixture flow rate injected into the flue by each subunit of the ammonia injection grid and related to the operating time; the continuous time characteristics of the flue section inlet boundary and the ammonia injection grid inlet boundary are consistent, and the continuous time interval of the continuous time series is 5s to 10s.

3. The method according to claim 1, characterized in that The absolute height difference between the spatial position of the real-time monitoring section of the flue gas operation parameters in front of each monomer denitration catalyst module and the inlet section of the first-layer catalyst, and the absolute height difference between the spatial position of the real-time monitoring section of the NOx concentration in the flue gas after each monomer denitration catalyst module and the outlet section of the last-layer catalyst are both between 300 mm and 800 mm; multiple monomer denitration catalyst modules with column and row characteristics constitute the denitration catalyst loading of the SCR denitration system, and the flue gas operation parameters in front of each monomer denitration catalyst module and the NOx concentration in the flue gas after each monomer denitration catalyst module are expressed by the following formula: Where: (t k ) represents any k-th continuous time interval contained in the continuous time series; when When Indicates the flue gas operation parameters before each monomer denitrification catalyst module, They are the mean NOx flux and ammonia volume concentration in the flue gas before the single denitration catalyst module in the mth column and the nth row at time k, respectively, and the units of measurement are mg / s and ppm respectively; at this time, the matrix D has a data capacity of 2m columns and n rows; when When Indicates the NOx concentration in the flue gas after each monomer denitration catalyst module, The NOx concentration in the flue gas after the single denitration catalyst module in the nth row of the mth column at time k, measured in mg / m 3 , at this time the matrix D has a data capacity of m columns and n rows.

4. The method according to claim 1, characterized in that The mapping relationship between the continuous time series boundary conditions and the flue gas operating parameters before each monomer denitrification catalyst module is a numerical solution calculation model for real-time calculation. The numerical solution calculation model is constructed by establishing a geometric model of the SCR denitrification system, meshing, and coupling a non-steady-state process mathematical model of the denitrification chemical reaction. By inputting the continuous time series boundary conditions during the operation of the SCR denitrification system into the numerical solution calculation model, the flue gas operating parameters before each monomer denitrification catalyst module are indirectly calculated and obtained.

5. The method according to claim 1, characterized in that The mapping relationship between the NOx concentration in the flue gas after each monomer denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor is a machine learning prediction model for real-time calculation, and the machine learning prediction model is trained by a training data set.

6. The method according to claim 5, characterized in that The training data set includes a training data set of NOx concentration in the flue gas after each monomer denitration catalyst module and a training data set of NOx concentration at the outlet of the SCR denitration reactor; The NOx concentration training data set in the flue gas after each monomer denitration catalyst module is indirectly calculated and obtained based on the mapping relationship between the continuous time series boundary conditions and the flue gas operation parameters before each monomer denitration catalyst module, wherein the duration of the continuous time series boundary conditions is not less than 168 hours; The SCR denitration reactor outlet NOx concentration training data set is established by directly obtaining the reactor outlet NOx concentration of the same SCR denitration system in the same continuous time period from the CEMS system.

7. The method according to claim 6, characterized in that When using the training data set for training to obtain the machine learning prediction model, the following training and prediction principles are followed: Where: f represents the mapping relationship represented by the machine learning prediction model used for real-time computing; It represents the predicted value of NOx concentration in the flue gas after the single denitration catalyst module in the βth row of the αth column at time k, 1≤α≤m, 1≤β≤n, and the unit of measurement is mg / m 3 ;matrix Represents the NOx concentration dataset in the flue gas after each monomer denitrification catalyst module required for training and prediction. Its internal elements It indicates the actual value of NOx concentration in the flue gas after the single denitration catalyst module in the mth column and the nth row at time k-1, and the unit of measurement is mg / m 3 , the time interval between k and k-1 is equal; the matrix The element Null in represents the default value; It represents the NOx concentration training dataset at the outlet of the SCR denitration reactor at time k required for training and prediction, and the NOx concentration at the outlet of the reactor of the same SCR denitration system directly taken from the CEMS system at time k, with the unit of measurement being mg / m 3 .

8. A monomer denitration catalyst module activity early warning device, characterized in that: The device comprises: A data acquisition unit is configured to construct a continuous time series boundary condition and acquire key system operating parameters with a continuous time series for real-time monitoring, wherein the key system operating parameters include flue gas operating parameters before each monomer denitration catalyst module and NOx concentration in flue gas after each monomer denitration catalyst module; A first mapping establishment unit is configured to establish a mapping relationship between a continuous time series boundary condition and a flue gas operation parameter before each monomer denitration catalyst module; The second mapping establishment unit is configured to establish a mapping relationship between the NOx concentration in the flue gas after each monomer denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor; An activity warning unit is configured to construct an activity warning model for a monomer denitration catalyst module based on a mapping relationship between the continuous time series boundary conditions and the flue gas operation parameters before each monomer denitration catalyst module and a mapping relationship between the NOx concentration in the flue gas after each monomer denitration catalyst module and the NOx concentration at the outlet of the SCR denitration reactor; The monomer denitration catalyst module activity early warning model diagnoses and warns the activity of the monomer denitration catalyst module in real time through the following judgment conditions: Where: ρ is the density of NOx in the flue gas of the SCR denitrification system, and the unit of measurement is mg / m 3 ;v load is the quantitative flue gas flow rate of the SCR denitration system, which is determined by the product of the designed maximum flue gas flow rate and the ratio of the actual boiler output to the designed boiler output, and the unit of measurement is m / s; S is the flue cross-sectional area of ​​the catalyst layer of the SCR denitration system, and the unit of measurement is m 2 ; S α,β is the flue gas flow area of ​​the single denitration catalyst module under study, measured in m 2 ξ is the design denitration efficiency of the SCR denitration system under study; Ψ is the activity warning threshold of the monomer denitration catalyst module, which is 40% to 60%; W α,β It is the activity status identifier of the monomer denitration catalyst module in the βth row in the αth column. 1 means that the activity warning of the monomer denitration catalyst is deactivated and it is recommended to replace it at an appropriate time. 0 means that the activity diagnosis of the monomer denitration catalyst is normal and it is recommended to continue to use it.

9. A non-transitory computer-readable storage medium storing instructions, which, when executed by a processor, executes the method according to any one of claims 1 to 7.

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