Denitration ammonia injection amount abnormity online diagnosis method and device

Abstract

The invention provides a denitration ammonia injection amount abnormity online diagnosis method and device, and relates to the field of boiler environment-friendly operation, and the method comprises the steps: generating a reducing agent utilization rate matrix according to normal operation data of a denitration system and preset identification test conditions; and after the abnormal ammonia spraying amount occurs, analyzing the reason of the abnormal ammonia spraying amount according to the obtained reducing agent utilization rate data set and the reducing agent utilization rate matrix so as to carry out online diagnosis on the abnormal denitration ammonia spraying amount. According to the method, the main reason of the abnormal ammonia spraying amount can be determined by analyzing the change rule of the matrix elements.

Description

Technical Field

[0001] The present application relates to the field of environmentally friendly operation of boilers, and specifically to an online diagnosis method and device for abnormal denitrification ammonia injection amount. Background Art

[0002] Controlling the amount of ammonia sprayed for denitrification is one of the difficult issues in environmentally friendly operation of boilers. Insufficient ammonia spraying will cause excessive NOx (nitrogen oxide) emissions in the flue gas; long-term excessive ammonia spraying will not only increase the cost of denitrification, but also cause blockage of the tail flue equipment (such as air preheater, dust collector, etc.). In addition to being proportional to the system output, the amount of ammonia sprayed is also related to the activity of the catalyst and the degree of mixing of NOx and the reducing agent in the inlet flue gas. When the amount of ammonia sprayed in the system is abnormal, it is necessary to first diagnose the main cause before it is possible to formulate and take correct countermeasures.

[0003] In the first prior art, the sampling of SCR denitration catalyst and the cold inspection of the ammonia grid of the denitration system need to be carried out during the installation or maintenance of the denitration system, and online diagnosis cannot be achieved under normal operating conditions of the system. In the second prior art, only the structural shape degradation of the denitration catalyst can be monitored and judged, and the actual changes in the catalyst performance cannot be accurately diagnosed.

[0004] This section is intended to provide a background or context to the embodiments of the invention recited in the claims. No admission is made that the description herein is prior art by inclusion in this section. Summary of the invention

[0005] In view of the problems in the prior art, the present application provides a method and device for online diagnosis of abnormal ammonia injection amount for denitrification, which can determine the main cause of the abnormal ammonia injection amount by analyzing the change pattern of matrix elements.

[0006] In order to solve the above technical problems, this application provides the following technical solutions:

[0007] In a first aspect, the present application provides an online diagnosis method for abnormal denitration ammonia injection amount, comprising:

[0008] Generate a reducing agent utilization matrix based on the normal operation data of the denitration system and the preset identification test conditions;

[0009] After the abnormal ammonia injection amount occurs, the cause of the abnormal ammonia injection amount is analyzed according to the obtained reducing agent utilization rate data set and the reducing agent utilization rate matrix, so as to perform online diagnosis of the abnormal denitrification ammonia injection amount.

[0010] Furthermore, the generating of the reducing agent utilization matrix according to the normal operation data of the denitration system and the preset identification test conditions includes:

[0011] Generate an output temperature combination according to the preset denitration system output range and denitration inlet temperature range;

[0012] Determining whether the current operating state of the denitration system is capable of conducting an online test according to the identification test conditions;

[0013] If possible, the reducing agent utilization matrix is ​​generated according to the actually obtained denitration system output, the denitration inlet temperature and the output temperature combination.

[0014] Furthermore, the reducing agent utilization matrix is ​​generated according to the actually obtained denitration system output, denitration inlet temperature and the output temperature combination, including:

[0015] Determine the calculated output of the denitrification system and the calculated inlet temperature of the denitrification inlet according to the actually obtained denitrification system output, the denitrification inlet temperature and the output temperature combination;

[0016] Determine the corresponding reducing agent utilization rate according to the calculated output of the denitration system and the calculated denitration inlet temperature;

[0017] The reducing agent utilization matrix is ​​generated according to the calculated output of the denitration system, the calculated temperature of the denitration inlet and the corresponding reducing agent utilization.

[0018] Furthermore, after the ammonia injection amount abnormality occurs, the cause of the ammonia injection amount abnormality is analyzed according to the obtained reducing agent utilization rate data set and the reducing agent utilization rate matrix, including:

[0019] After the ammonia injection amount abnormality occurs, determining the position of the online test operating point corresponding to the reducing agent utilization rate data set in the reducing agent utilization rate matrix; wherein the position is defined by the operating condition element in the reducing agent utilization rate matrix;

[0020] According to the reducing agent utilization matrix, the reducing agent utilization characteristic value corresponding to each online test operating point is calculated respectively;

[0021] Calculating a relative deviation between a reducing agent utilization rate corresponding to each online test operating point in the reducing agent utilization rate data set and a corresponding reducing agent utilization rate characteristic value;

[0022] The cause of the abnormal ammonia injection amount is determined according to the relative deviation.

[0023] In a second aspect, the present application provides an online diagnostic device for abnormal ammonia injection amount of denitrification, comprising:

[0024] A matrix generation unit, used to generate a reducing agent utilization matrix according to normal operation data of the denitration system and preset identification test conditions;

[0025] The online diagnosis unit is used to analyze the cause of the abnormal ammonia injection amount according to the obtained reducing agent utilization rate data set and the reducing agent utilization rate matrix after the abnormal ammonia injection amount occurs, so as to perform online diagnosis of the abnormal ammonia injection amount for denitrification.

[0026] Furthermore, the matrix generation unit comprises:

[0027] A combination generation module, used to generate an output temperature combination according to a preset denitration system output range and a denitration inlet temperature range;

[0028] A condition identification module, used to determine whether the current operating state of the denitration system is capable of conducting an online test according to the identification test conditions;

[0029] The matrix generation module is used to generate the reducing agent utilization matrix according to the actually obtained denitration system output, denitration inlet temperature and the output temperature combination, if possible.

[0030] Furthermore, the matrix generation module includes:

[0031] A calculated output temperature determination module, used to determine the calculated output of the denitrification system and the calculated temperature of the denitrification inlet according to the actually obtained denitrification system output, the denitrification inlet temperature and the output temperature combination;

[0032] A reducing agent utilization rate determination module, used to determine the corresponding reducing agent utilization rate according to the calculated output of the denitration system and the calculated denitration inlet temperature;

[0033] The matrix determination module is used to generate the reducing agent utilization matrix according to the calculated output of the denitration system, the calculated temperature of the denitration inlet and the corresponding reducing agent utilization.

[0034] Furthermore, the online diagnosis unit comprises:

[0035] A position determination module, used for determining the position of the online test operating point corresponding to the reducing agent utilization rate data set in the reducing agent utilization rate matrix after an abnormal ammonia injection amount occurs; wherein the position is defined by the operating condition element in the reducing agent utilization rate matrix;

[0036] A characteristic calculation module, used to calculate the reducing agent utilization characteristic value corresponding to each online test operating point according to the reducing agent utilization matrix;

[0037] A relative deviation calculation module, used to calculate the relative deviation between the reducing agent utilization rate corresponding to each online test operating point in the reducing agent utilization rate data set and the corresponding reducing agent utilization rate characteristic value;

[0038] The abnormality cause determination module is used to determine the cause of the abnormal ammonia injection amount according to the relative deviation.

[0039] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the online diagnosis method for abnormal denitrification ammonia injection amount are implemented.

[0040] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for online diagnosis of abnormal denitrification ammonia injection amount.

[0041] In a fifth aspect, the present application provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the online diagnosis method for abnormal denitrification ammonia injection amount.

[0042] In response to the problems in the prior art, the online diagnosis method and device for abnormal ammonia injection amount of denitrification provided in the present application can conduct online tests after the installation of the ammonia injection denitrification system is completed, construct a reducing agent utilization matrix, and conduct online tests again after the abnormal ammonia injection amount occurs. By analyzing the changing pattern of the matrix elements, the main cause of the abnormal ammonia injection amount is determined, and the cause of the abnormality is analyzed and diagnosed. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 This is a flow chart of the online diagnosis method for abnormal denitration ammonia injection amount in the embodiment of the present application;

[0045] Figure 2 A flow chart of generating a reducing agent utilization matrix in an embodiment of the present application;

[0046] Figure 3 A specific flow chart for generating a reducing agent utilization rate matrix in an embodiment of the present application;

[0047] Figure 4 This is a flow chart for analyzing the causes of abnormal ammonia injection amount in the embodiment of the present application;

[0048] Figure 5 This is a structural diagram of an abnormal online diagnostic device for denitration ammonia injection amount in an embodiment of the present application;

[0049] Figure 6 This is a structural diagram of a matrix generation unit in an embodiment of the present application;

[0050] Figure 7 This is a structural diagram of a matrix generation module in an embodiment of the present application;

[0051] Figure 8 This is a structural diagram of an online diagnosis unit in an embodiment of the present application;

[0052] Fig. 9 A schematic diagram of the structure of an electronic device in an embodiment of the present application;

[0053] Fig.10 This is a method and system for diagnosing abnormal denitrification ammonia injection amount in an embodiment of the present application. DETAILED DESCRIPTION

[0054] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0055] The information collected in the technical solution of this application is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of relevant data comply with the relevant laws, regulations and standards of relevant countries and regions, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0056] Provide users with corresponding operation entrances for them to choose to agree or reject the automated decision-making results; if the user chooses to reject, the expert decision-making process will be entered.

[0057] In one embodiment, see Figure 1 In order to determine the main cause of abnormal ammonia injection amount by analyzing the change law of matrix elements, the present application provides an online diagnosis method for abnormal ammonia injection amount of denitrification, including:

[0058] S101: Generate a reducing agent utilization rate matrix according to normal operation data of the denitration system and preset identification test conditions;

[0059] S102: After the abnormal ammonia injection amount occurs, the cause of the abnormal ammonia injection amount is analyzed according to the obtained reducing agent utilization rate data set and the reducing agent utilization rate matrix, so as to perform online diagnosis of the abnormal ammonia injection amount for denitration.

[0060] It is understandable that the embodiment of the present application can conduct online tests regularly (or irregularly) to obtain multiple reducing agent utilization rate matrices, and diagnose the main cause of abnormal ammonia injection by analyzing the change rules of matrix elements, see Fig.10 .

[0061] In order to better explain the technical solution of this application, the following terms are first explained:

[0062] Denitrification system: A device that uses a reducing agent (usually ammonia or ammonia compounds) to remove nitrogen oxides (NOx) from flue gas. It is divided into selective catalytic reduction (SCR) and non-selective catalytic reduction (SNCR) according to whether a catalyst is installed. It is commonly used for environmental emissions of power equipment in the energy, chemical, steel, cement and other industries.

[0063] System output: The total amount of NOx that needs to be removed by the denitrification system per unit time can be calculated as follows:

[0064] Q dn =(c NOx,1 -c NOx,2 )×V fg ×10 -3 (1)

[0065] In the formula, Q dn is the system output, unit is kg / h; c NOx,1 and c NOx,2 They are respectively the NOx concentrations in the inlet and outlet flue gas of denitrification, in mg / m 3 ; V fg is the denitrification inlet flue gas flow rate, unit km 3 / h.

[0066] Inlet temperature: The temperature of the inlet flue gas of denitrification is an important condition affecting the denitrification reaction rate. Within the appropriate temperature range, the higher the inlet temperature, the faster the denitrification reaction, the more conducive it is to the removal of NOx and the full utilization of the reducing agent.

[0067] Reductant utilization rate: the proportion of the reductant actually used to remove NOx in the inlet flue gas of the denitrification system in the total amount of reductant input. In addition to being affected by the inlet temperature, the reductant utilization rate is also related to the activity of the catalyst and the matching degree between the local ammonia injection amount and the NOx in the inlet flue gas.

[0068] Ammonia injection amount: the amount of reducing agent consumed by the denitrification system per unit time.

[0069] Performance diagnosis: The process of analyzing and determining the main reasons for the decline in the utilization of denitrification reductant.

[0070] The method provided in this application can be implemented according to the following process:

[0071] (1) Online test

[0072] After the installation or overhaul of the denitrification device is completed, online tests should be carried out at an appropriate time during the period of flue gas generation and normal operation of the denitrification device to obtain benchmark data on the reducing agent utilization rate.

[0073] (2) Storage reductant utilization matrix

[0074] The data of denitrification system output, denitrification inlet temperature and reductant utilization rate obtained from online tests are used to update the reductant utilization rate matrix as a characteristic database representing the state of the denitrification system over a period of time.

[0075] (3) After abnormal ammonia injection occurs, conduct online test

[0076] After the abnormal ammonia injection occurs, an online test is carried out to obtain the system output Q dn , inlet temperature T fg Combination and corresponding actual reducing agent utilization η dn , record the data set (Q dn,1 , T fg,1 , η dn,1 )、(Q dn,2 , T fg,2 , η dn,2 ),……,(Q dn,l , T fg,l , η dn,l ), l≥2.

[0077] (4) Abnormal diagnosis

[0078] Abnormal diagnosis is to analyze the main cause of abnormal ammonia injection by comparing the reductant utilization data set obtained from online tests with the reductant utilization matrix after the abnormal ammonia injection occurs.

[0079] From the above description, it can be seen that the online diagnosis method for abnormal denitrification ammonia injection amount provided in the present application can conduct online tests after the installation of the ammonia injection denitrification system is completed, construct a reductant utilization matrix, and conduct online tests again after the abnormal ammonia injection amount occurs. By analyzing the change pattern of the matrix elements, the main cause of the abnormal ammonia injection amount is determined, and the cause of the abnormality is analyzed and diagnosed.

[0080] In one embodiment, see Figure 2 , the reducing agent utilization rate matrix is ​​generated according to the normal operation data of the denitration system and the preset identification test conditions, including:

[0081] S201: generating an output temperature combination according to a preset denitration system output range and a denitration inlet temperature range;

[0082] S202: Determine whether the current operating state of the denitration system is capable of performing an online test according to the identification test condition;

[0083] S203: If yes, generate the reducing agent utilization matrix according to the actually obtained denitration system output, denitration inlet temperature and the output temperature combination.

[0084] Specifically, see Figure 3, the reducing agent utilization matrix is ​​generated according to the actually obtained denitration system output, denitration inlet temperature and the output temperature combination, including:

[0085] S301: Determine the calculated output of the denitrification system and the calculated inlet temperature of the denitrification inlet according to the actually obtained denitrification system output, the denitrification inlet temperature and the output temperature combination;

[0086] S302: Determine the corresponding reducing agent utilization rate according to the calculated output of the denitration system and the calculated denitration inlet temperature;

[0087] S303: Generate the reducing agent utilization matrix according to the calculated output of the denitration system, the calculated temperature of the denitration inlet and the corresponding reducing agent utilization.

[0088] It can be understood that (1) the specific steps for calculating the reductant utilization rate include: ① Determine the test range of system output and inlet temperature. The system output range should include the maximum value Q that the denitrification system has experienced during normal operation. dn,max and minimum Q dn,min , Q dn,max and Q dn,min It can be obtained from the historical operation data of the flue gas generating device and determined according to formula (1). The range of inlet temperature should include the maximum value T that the denitrification system has experienced during normal operation. fg,max and T fg,min , T fg,max and T fg,min It can be derived from the historical operation data of the smoke generating device. ② Set the possible combinations of system output and inlet temperature. Set m levels within the system output test range, m ≥ 3. Set n levels within the inlet temperature test range, n ≥ 3. There are m×n theoretical combinations of system output and inlet temperature. Based on the historical operation data of the smoke generating device, the impossible combinations are eliminated, and the remaining combinations are possible combinations.

[0089] As for the combination, due to the differences of each unit, the combination of each unit may be different.

[0090] In general, the system output is related to the amount of coal burned, coal quality, unit capacity, etc., while the temperature is mainly related to the boiler load rate.

[0091] For example, the maximum system output of a 300MW unit may be only 200kg / h, while the maximum output of a 1000MW unit is 700kg / h. When these two units are at maximum output, the temperature is basically around 360℃.

[0092] Therefore, each specific unit (case) can be set with a combination suitable for its own characteristics (mainly reflected in factors such as unit capacity, combustion coal quality, combustion method, etc.), and this application is not limited to this.

[0093] ③Identify the test conditions according to the preset identification test conditions.

[0094] Among them, referring to Table 1 and Table 2, the identification test conditions may include but are not limited to:

[0095] Table 1 Examples of start and end conditions for equipment and measurement point fault states

[0096]

[0097]

[0098] Table 2 Examples of start and stop conditions for boiler dynamic processes

[0099]

[0100] ④ Adjust the system output and inlet temperature to the values ​​required by the possible combination (this can be an approximate value), and test V fg 、c NOx,1 、c NOx,2 and reducing agent flow Q A and purity x A The reducing agent utilization rate is calculated as follows:

[0101]

[0102] Where η dn is the reducing agent utilization rate, unit %; Q dn is the system output, unit is kg / h; R A-N is the theoretical ammonia nitrogen molar ratio of the denitrification reaction, a dimensionless constant; Q A is the amount of ammonia sprayed, in kg / h; x A is the purity of reducing agent, unit: %, which comes from daily test data.

[0103] (2) Storage reductant utilization matrix

[0104] The data of denitrification system output, denitrification inlet temperature and reductant utilization rate obtained from online tests are used to generate / update the reductant utilization rate matrix as a characteristic database representing the state of the denitrification system over a period of time.

[0105] From the above description, it can be seen that the online diagnosis method for abnormal denitrification ammonia injection amount provided in the present application can generate a reducing agent utilization matrix based on the normal operating data of the denitrification system and preset identification test conditions.

[0106] In one embodiment, see Figure 4 After the ammonia injection amount abnormality occurs, the cause of the ammonia injection amount abnormality is analyzed according to the obtained reducing agent utilization rate data set and the reducing agent utilization rate matrix, including:

[0107] S401: after an abnormal ammonia injection amount occurs, determining a position of an online test operating point corresponding to the reducing agent utilization rate data set in the reducing agent utilization rate matrix; wherein the position is defined by an operating condition element in the reducing agent utilization rate matrix;

[0108] S402: Calculating the reducing agent utilization characteristic value corresponding to each online test operating point according to the reducing agent utilization matrix;

[0109] S403: Calculating a relative deviation between the reducing agent utilization rate corresponding to each online test operating point in the reducing agent utilization rate data set and the corresponding reducing agent utilization rate characteristic value;

[0110] S404: Determine the cause of the abnormal ammonia injection amount according to the relative deviation.

[0111] It is understandable that the specific steps for analyzing the cause of abnormal ammonia injection are as follows:

[0112] Among them, Q dn is the system output corresponding to a certain operating point, T fg is the denitrification inlet temperature corresponding to a certain operating point. The operating points include: a, b and i, etc.

[0113] ① After confirming that the ammonia injection amount is abnormal, the online test condition point (Q dn,i , T fg,i ) in the reducing agent utilization matrix. The schematic diagram for determining the position of the abnormal operating point is shown below.

[0114] Q dn,a ,T fg,b Q dn,a ,T fg,a

[0115] Q dn,i ,T fg,i

[0116] Q dn,b ,T fg,b′ Q dn,b ,T fg,a

[0117] The four adjacent elements in the matrix (Q dn,a , Q dn,b )、(Q dn,a , Q dn,a )、(Q dn,b , Q dn,b )、(Q dn,b , Q dn,a )When the following two conditions are met at the same time, it can be determined that the online test operating point is within the range defined by these four elements:

[0118]

[0119] ② According to the reducing agent utilization matrix, calculate the online working conditions (Q dn,1 , T fg,1 )、(Q dn,2 , T fg,2 ),……,

[0120] (Q dn,l , T fg,l ) corresponding to the characteristic value of reducing agent utilization

[0121]

[0122]

[0123]

[0124] In the formula, For online test conditions (Q dn,i , T fg,i ) corresponding to the characteristic value of reducing agent utilization, unit %, i = 1, 2, ..., l; η dn,ab is the reducing agent utilization matrix (Q dn,a , T fg,b ) The reducing agent utilization rate corresponding to the element, unit%, η dn,aa , η dn,ba , η dn,bb And so on.

[0125] ③Calculate η dn,i and The relative deviation is defined as follows:

[0126]

[0127] Δ i For online test conditions (Q dn,i , T fg,i )'s relative deviation of reducing agent utilization, %, i=1, 2,..., l.

[0128] ④ If the ammonia injection amount is abnormal, the Δ i All satisfy Δ i <-5%, then calculate Δ i The root mean square error is:

[0129]

[0130] R is Δ i The root mean square error, unit %; is the Δ of all online test conditions after the abnormal ammonia injection occurs.i The mean value, in %, is calculated according to the following formula:

[0131]

[0132] If R≤5%, the cause of the abnormal ammonia injection amount is diagnosed as "catalyst performance degradation"; otherwise, the cause of the abnormal ammonia injection amount is diagnosed as "insufficient mixing of NOx and reducing agent in the inlet flue gas".

[0133] Taking a 600MW boiler denitrification system as an example, the specific implementation is as follows:

[0134] (1) After installation, online test is performed to obtain the reducing agent utilization matrix

[0135] Set 5 system outputs of 350kg / h, 280kg / h, 210kg / h, 140kg / h and 70kg / h, and 3 inlet temperatures of 355℃, 325℃ and 295℃. Through online tests, the reductant utilization matrix is ​​shown in Table 3 below:

[0136] Table 3 Example of reducing agent utilization matrix

[0137]

[0138]

[0139] (2) Online test after abnormal ammonia injection occurs

[0140] After the abnormal ammonia injection occurred, three online tests were carried out to obtain data sets (315kg / h, 349℃, 84.6%), (245kg / h, 325℃, 83.9%) and (140kg / h, 295℃, 82.1%).

[0141] (3) Abnormal diagnosis

[0142] ① Determine the positions of the three operating points of the online test in the reducing agent utilization matrix as shown in Table 1.

[0143] ② According to formulas (3)-(5), the characteristic value of reducing agent utilization corresponding to operating condition 1 (315kg / h, 349℃) is calculated as The characteristic value of reducing agent utilization corresponding to working condition 2 (245kg / h, 325℃) is The characteristic value of reducing agent utilization corresponding to working condition 3 (140kg / h, 295℃) is

[0144] ③ According to formula 6, the relative deviations of reducing agent utilization at the three operating points are calculated as Δ1=-5.37%, Δ2=-5.30%, and Δ3=-5.31%.

[0145] ④ According to formulas 7 and 8, the relative deviation of the reducing agent utilization rate of the three online tests after the abnormal ammonia injection occurs is calculated. i All satisfy Δ i <-5%, and Δ i The root mean square error R = 0.58% ≤ 5%. Therefore, the main reason for the ammonia injection this time is "catalyst performance degradation".

[0146] It should be noted that:

[0147] (1) Other methods can be used to calculate the online test conditions (Q dn,i , T fg,i ) corresponding to the reducing agent utilization characteristic value η dn，i * .

[0148] (2) We can convert Δ i The judgment value (-5%) is replaced by any constant or function in the range of -20% to -0.5%.

[0149] (3) The judgment value of R (5%) can be replaced by any constant or function within the range of 0.1% to 8%.

[0150] From the above description, it can be seen that the online diagnosis method for abnormal denitrification ammonia injection amount provided in the present application can analyze the cause of the abnormal ammonia injection amount according to the obtained reductant utilization rate data set and the reductant utilization rate matrix after the abnormal ammonia injection amount occurs.

[0151] Based on the same inventive concept, the embodiments of the present application also provide an online diagnostic device for abnormal denitrification ammonia injection amount, which can be used to implement the method described in the above embodiments, as described in the following embodiments. Since the principle of solving the problem by the online diagnostic device for abnormal denitrification ammonia injection amount is similar to the online diagnostic method for abnormal denitrification ammonia injection amount, the implementation of the online diagnostic device for abnormal denitrification ammonia injection amount can refer to the implementation of the method based on software performance benchmark determination, and the repeated parts will not be repeated. As used below, the terms "unit" or "module" can be a combination of software and / or hardware that implements predetermined functions. Although the system described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0152] In one embodiment, see Figure 5 In order to determine the main cause of abnormal ammonia injection amount by analyzing the change law of matrix elements, the present application provides an online diagnosis device for abnormal ammonia injection amount of denitrification, comprising:

[0153] The matrix generation unit 501 is used to generate a reducing agent utilization rate matrix according to the normal operation data of the denitration system and the preset identification test conditions;

[0154] The online diagnosis unit 502 is used to analyze the cause of the abnormal ammonia injection amount according to the obtained reductant utilization rate data set and the reductant utilization rate matrix after the abnormal ammonia injection amount occurs, so as to perform online diagnosis of the abnormal ammonia injection amount for denitrification.

[0155] In one embodiment, see Figure 6 , the matrix generating unit 501 comprises:

[0156] The combination generation module 601 is used to generate an output temperature combination according to a preset denitration system output range and a denitration inlet temperature range;

[0157] A condition identification module 602, used to determine whether the current operating state of the denitration system is capable of conducting an online test according to the identification test conditions;

[0158] The matrix generation module 603 is used to generate the reducing agent utilization matrix according to the actually obtained denitration system output, denitration inlet temperature and the output temperature combination, if possible.

[0159] In one embodiment, see Figure 7 , the matrix generation module 603 comprises:

[0160] The calculated output temperature determination module 701 is used to determine the calculated output of the denitrification system and the calculated temperature of the denitrification inlet according to the actually obtained denitrification system output, the denitrification inlet temperature and the output temperature combination;

[0161] A reducing agent utilization rate determination module 702, for determining a corresponding reducing agent utilization rate according to the denitration system calculated output and the denitration inlet calculated temperature;

[0162] The matrix determination module 703 is used to generate the reducing agent utilization matrix according to the calculated output of the denitration system, the calculated temperature of the denitration inlet and the corresponding reducing agent utilization.

[0163] In one embodiment, see Figure 8 , the online diagnosis unit 502 comprises:

[0164] The position determination module 801 is used to determine the position of the online test operating point corresponding to the reducing agent utilization rate data set in the reducing agent utilization rate matrix after the abnormal ammonia injection amount occurs; wherein the position is defined by the operating condition element in the reducing agent utilization rate matrix;

[0165] A characteristic calculation module 802 is used to calculate the characteristic value of the reducing agent utilization rate corresponding to each online test operating point according to the reducing agent utilization rate matrix;

[0166] A relative deviation calculation module 803 is used to calculate the relative deviation between the reducing agent utilization rate corresponding to each online test operating point in the reducing agent utilization rate data set and the corresponding reducing agent utilization rate characteristic value;

[0167] The abnormality cause determination module 804 is used to determine the cause of the abnormal ammonia injection amount according to the relative deviation.

[0168] From the hardware level, in order to determine the main cause of abnormal ammonia injection amount by analyzing the change law of matrix elements, the present application provides an embodiment of an electronic device for implementing all or part of the contents of the online diagnosis method for abnormal denitration ammonia injection amount, and the electronic device specifically includes the following contents:

[0169] Processor, memory, communication interface and bus; wherein the processor, memory and communication interface communicate with each other through the bus; the communication interface is used to realize information transmission between the abnormal online diagnosis device for denitrification ammonia injection and related equipment such as core business systems, user terminals and related databases; the logic controller can be a desktop computer, a tablet computer and a mobile terminal, etc., but the present embodiment is not limited thereto. In the present embodiment, the logic controller can be implemented with reference to the embodiment of the online diagnosis method for abnormal online denitrification ammonia injection and the embodiment of the online diagnosis device for abnormal online denitrification ammonia injection in the embodiment, and the contents thereof are incorporated herein, and the repeated parts are not repeated.

[0170] It is understandable that the user terminal may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a personal digital assistant (PDA), a vehicle-mounted device, a smart wearable device, etc. Among them, the smart wearable device may include smart glasses, a smart watch, a smart bracelet, etc.

[0171] In practical applications, part of the online diagnosis method for abnormal denitrification ammonia injection amount can be executed on the electronic device side as described above, or all operations can be completed in the client device. The specific selection can be based on the processing capacity of the client device and the limitations of the user's usage scenario. This application does not limit this. If all operations are completed in the client device, the client device may also include a processor.

[0172] The client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission with the server. The server may include a server on the task scheduling center side, and other implementation scenarios may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, or a server cluster consisting of multiple servers, or a server structure of a distributed device.

[0173] Fig. 9 FIG. 9 is a schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Fig. 9 As shown, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. It is worth noting that Fig. 9 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0174] In one embodiment, the function of the online diagnosis method for abnormal ammonia injection amount of denitrification can be integrated into the central processor 9100. The central processor 9100 can be configured to perform the following control:

[0175] S101: Generate a reducing agent utilization rate matrix according to normal operation data of the denitration system and preset identification test conditions;

[0176] S102: After the abnormal ammonia injection amount occurs, the cause of the abnormal ammonia injection amount is analyzed according to the obtained reducing agent utilization rate data set and the reducing agent utilization rate matrix, so as to perform online diagnosis of the abnormal ammonia injection amount for denitration.

[0177] From the above description, it can be seen that the online diagnosis method for abnormal denitrification ammonia injection amount provided in the present application can conduct online tests after the installation of the ammonia injection denitrification system is completed, construct a reductant utilization matrix, and conduct online tests again after the abnormal ammonia injection amount occurs. By analyzing the change pattern of the matrix elements, the main cause of the abnormal ammonia injection amount is determined, and the cause of the abnormality is analyzed and diagnosed.

[0178] In another embodiment, the online diagnostic device for abnormal denitrification ammonia injection amount can be configured separately from the central processing unit 9100. For example, the data composite transmission device online diagnostic device for abnormal denitrification ammonia injection amount can be configured as a chip connected to the central processing unit 9100, and the function of the online diagnostic method for abnormal denitrification ammonia injection amount can be realized through the control of the central processing unit.

[0179] like Fig. 9As shown, the electronic device 9600 may also include: a communication module, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily have to include Fig. 9 In addition, the electronic device 9600 may also include Fig. 9 For components not shown, reference may be made to the prior art.

[0180] like Fig. 9 As shown, the central processing unit 9100 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor device and / or logic device. The central processing unit 9100 receives input and controls the operation of various components of the electronic device 9600.

[0181] The memory 9140 may be, for example, one or more of a cache, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices. The above-mentioned information related to the failure may be stored, and a program for executing the relevant information may also be stored. The CPU 9100 may execute the program stored in the memory 9140 to implement information storage or processing, etc.

[0182] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display display objects such as images and texts. The display may be, for example, an LCD display, but is not limited thereto.

[0183] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It may also be a memory that saves information even when the power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROMs, etc. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application / function storage unit 9142, which is used to store application programs and function programs or processes for executing the operation of the electronic device 9600 through the central processor 9100.

[0184] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various drivers for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0185] The communication module is a transmitter / receiver that sends and receives signals via the antenna 9111. The communication module (transmitter / receiver) is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as the case of a conventional mobile communication terminal.

[0186] Based on different communication technologies, multiple communication modules may be provided in the same electronic device, such as a cellular network module, a Bluetooth module and / or a wireless LAN module, etc. The communication module (transmitter / receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide an audio output via the speaker 9131 and receive an audio input from the microphone 9132, thereby realizing a common telecommunication function. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. In addition, the audio processor 9130 is also coupled to the central processor 9100, so that recording can be performed on the local machine through the microphone 9132, and the sound stored on the local machine can be played through the speaker 9131.

[0187] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the online diagnosis method for abnormal denitration ammonia injection amount in the above embodiment, where the execution subject is a server or a client. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, all the steps of the online diagnosis method for abnormal denitration ammonia injection amount in the above embodiment are implemented, where the execution subject is a server or a client. For example, when the processor executes the computer program, the following steps are implemented:

[0188] S101: Generate a reducing agent utilization rate matrix according to normal operation data of the denitration system and preset identification test conditions;

[0189] S102: After the abnormal ammonia injection amount occurs, the cause of the abnormal ammonia injection amount is analyzed according to the obtained reducing agent utilization rate data set and the reducing agent utilization rate matrix, so as to perform online diagnosis of the abnormal ammonia injection amount for denitration.

[0190] From the above description, it can be seen that the online diagnosis method for abnormal denitrification ammonia injection amount provided in the present application can conduct online tests after the installation of the ammonia injection denitrification system is completed, construct a reductant utilization matrix, and conduct online tests again after the abnormal ammonia injection amount occurs. By analyzing the change pattern of the matrix elements, the main cause of the abnormal ammonia injection amount is determined, and the cause of the abnormality is analyzed and diagnosed.

[0191] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0192] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (apparatus), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks 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.

[0193] 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 comprising 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.

[0194] 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.

[0195] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for online diagnosis of abnormal ammonia injection amount for denitrification, characterized in that: include: Generate a reducing agent utilization matrix based on the normal operation data of the denitration system and the preset identification test conditions; After the abnormal ammonia injection amount occurs, the cause of the abnormal ammonia injection amount is analyzed according to the obtained reducing agent utilization rate data set and the reducing agent utilization rate matrix, so as to perform online diagnosis of the abnormal denitrification ammonia injection amount.

2. The method for online diagnosis of abnormal denitration ammonia injection amount according to claim 1, characterized in that: The generating of the reducing agent utilization rate matrix according to the normal operation data of the denitration system and the preset identification test conditions includes: Generate an output temperature combination according to the preset denitration system output range and denitration inlet temperature range; Determining whether the current operating state of the denitration system is capable of conducting an online test according to the identification test conditions; If possible, the reducing agent utilization matrix is ​​generated according to the actually obtained denitration system output, the denitration inlet temperature and the output temperature combination.

3. The method for online diagnosis of abnormal denitration ammonia injection amount according to claim 2, characterized in that: The reducing agent utilization rate matrix is ​​generated according to the actually obtained denitration system output, denitration inlet temperature and the output temperature combination, including: Determine the calculated output of the denitrification system and the calculated inlet temperature of the denitrification inlet according to the actually obtained denitrification system output, the denitrification inlet temperature and the output temperature combination; Determine the corresponding reducing agent utilization rate according to the calculated output of the denitration system and the calculated denitration inlet temperature; The reducing agent utilization matrix is ​​generated according to the calculated output of the denitration system, the calculated temperature of the denitration inlet and the corresponding reducing agent utilization.

4. The method for online diagnosis of abnormal denitration ammonia injection amount according to claim 1, characterized in that: After the ammonia injection amount abnormality occurs, the cause of the ammonia injection amount abnormality is analyzed according to the obtained reducing agent utilization rate data set and the reducing agent utilization rate matrix, including: After the ammonia injection amount abnormality occurs, determining the position of the online test operating point corresponding to the reducing agent utilization rate data set in the reducing agent utilization rate matrix; wherein the position is defined by the operating condition element in the reducing agent utilization rate matrix; According to the reducing agent utilization matrix, the reducing agent utilization characteristic value corresponding to each online test operating point is calculated respectively; Calculating a relative deviation between a reducing agent utilization rate corresponding to each online test operating point in the reducing agent utilization rate data set and a corresponding reducing agent utilization rate characteristic value; The cause of the abnormal ammonia injection amount is determined according to the relative deviation.

5. An online diagnostic device for abnormal ammonia injection amount of denitrification, characterized in that: include: A matrix generation unit, used to generate a reducing agent utilization matrix according to normal operation data of the denitration system and preset identification test conditions; The online diagnosis unit is used to analyze the cause of the abnormal ammonia injection amount according to the obtained reducing agent utilization rate data set and the reducing agent utilization rate matrix after the abnormal ammonia injection amount occurs, so as to perform online diagnosis of the abnormal ammonia injection amount for denitrification.

6. The device for online diagnosis of abnormal ammonia injection amount for denitrification according to claim 5, characterized in that: The matrix generating unit comprises: A combination generation module, used to generate an output temperature combination according to a preset denitration system output range and a denitration inlet temperature range; A condition identification module, used to determine whether the current operating state of the denitration system is capable of conducting an online test according to the identification test conditions; The matrix generation module is used to generate the reducing agent utilization matrix according to the actually obtained denitration system output, denitration inlet temperature and the output temperature combination, if possible.

7. The device for online diagnosis of abnormal ammonia injection amount for denitrification according to claim 6, characterized in that: The matrix generation module comprises: A calculated output temperature determination module, used to determine the calculated output of the denitrification system and the calculated temperature of the denitrification inlet according to the actually obtained denitrification system output, the denitrification inlet temperature and the output temperature combination; A reducing agent utilization rate determination module, used to determine the corresponding reducing agent utilization rate according to the calculated output of the denitration system and the calculated denitration inlet temperature; The matrix determination module is used to generate the reducing agent utilization matrix according to the calculated output of the denitration system, the calculated temperature of the denitration inlet and the corresponding reducing agent utilization.

8. The device for online diagnosis of abnormal ammonia injection amount for denitrification according to claim 5, characterized in that: The online diagnosis unit comprises: A position determination module, used for determining the position of the online test operating point corresponding to the reducing agent utilization rate data set in the reducing agent utilization rate matrix after an abnormal ammonia injection amount occurs; wherein the position is defined by the operating condition element in the reducing agent utilization rate matrix; A characteristic calculation module, used to calculate the reducing agent utilization characteristic value corresponding to each online test operating point according to the reducing agent utilization matrix; A relative deviation calculation module, used to calculate the relative deviation between the reducing agent utilization rate corresponding to each online test operating point in the reducing agent utilization rate data set and the corresponding reducing agent utilization rate characteristic value; The abnormality cause determination module is used to determine the cause of the abnormal ammonia injection amount according to the relative deviation.

9. An electronic 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 program, the steps of the online diagnosis method for abnormal denitrification ammonia injection amount according to any one of claims 1 to 4 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the online diagnosis method for abnormal denitrification ammonia injection amount as described in any one of claims 1 to 4 are implemented.

11. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the steps of the online diagnosis method for abnormal denitrification ammonia injection amount as described in any one of claims 1 to 4 are implemented.

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