Method, system and information data processing terminal for judging kiln condition of cement rotary kiln

Abstract

The present invention discloses a method, a system and an information data processing terminal for judging the condition of a cement rotary kiln, belonging to the technical field of information processing. In each set time period T0, the following steps are executed: S1. Obtain basic data; obtain the average value of the input amount and the average value of the output amount during the calcination process of the cement rotary kiln. The input amount includes the industrial analysis volatile content Vad of coal; the output amount includes the reference concentration C of nitrogen oxides in the smoke chamber NOx , the measured oxygen concentration C in the smoke chamber O2 , and the measured carbon monoxide concentration C in the smoke chamber CO ; S2. Basic data analysis; first, according to the measured oxygen concentration C in the smoke chamber O2 and the industrial analysis volatile content Vad of coal, calculate the reference concentration C of nitrogen oxides in the smoke chamber under the stable state NOx2 , the absolute value and the deviation: S3. Primary judgment; if the measured carbon monoxide concentration C in the smoke chamber CO is less than the manually set value C COmax , then execute S4, otherwise it is considered that the kiln condition is not good; S4. Secondary judgment.

Description

Technical Field

[0001] The invention belongs to the field of information processing technology, and in particular relates to a method and system for judging the kiln condition of a cement rotary kiln and an information data processing terminal. Background Art

[0002] Cement rotary kiln is a key process equipment for cement clinker production. At present, there are about 1,500 cement rotary kilns in my country. In the cement clinker production process, it is necessary to reasonably coordinate the operation of wind, coal, materials and rotary kiln and a stable thermal system, and adjust the process operation in time in abnormal situations. If it is not handled in time, it will affect the output and quality of cement clinker, and even cause serious equipment and safety problems.

[0003] In the operation of cement rotary kiln, the calcination of clinker is an absolutely key factor to ensure the quality level of clinker. The most important factor is the flame temperature in the rotary kiln. However, the particularity of cement rotary kiln makes it impossible to measure it directly. Cement rotary kiln operators often make comprehensive judgments based on factors such as clinker sintering state (including free calcium content of clinker, cubic meter weight of clinker, clinker granulation observed by naked eye, etc.), burning state of burning zone (including naked eye observation of flame camera, measured oxygen concentration, measured carbon monoxide concentration, measured nitrogen oxide concentration, temperature, etc. in smoke chamber) and physical parameters of kiln operation (including surface temperature distribution of rotary kiln cylinder, kiln current curve, etc.). These factors are combined and generally referred to as "kiln condition". The judgment of kiln condition is heavily dependent on the personal experience of rotary kiln operators, which is labor-intensive and has a large randomness in judgment. At present, there is no clear mathematical model and algorithm that can provide a relatively ideal judgment method. Therefore, the cement industry is in urgent need of mathematical models and methods that can quickly judge kiln conditions, which are of great significance to the stability of actual industrial production and product quality. At the same time, many emission reduction technologies in the cement industry have entered the intelligent and smart stage. For example, CN114067933A has achieved intelligent denitrification to a certain extent, but there is still an urgent need to improve the intelligent level of the cement process itself to provide corresponding support.

[0004] Patent CN113834323A limits the measured concentration of nitrogen oxides to a fixed value, believing that exceeding this value indicates a high flame temperature, but ignores the mutual influence of the measured concentration of oxygen and nitrogen oxides, uses the measured NOx concentration instead of the NOx benchmark concentration for judgment, and uses the flame temperature, which cannot be accurately measured, as one of the judgment parameters. CN102629104B collects and classifies the field data of the cement rotary kiln calcination process, performs model identification on its data splitting, and organically combines it to establish a prediction model and use the model to predict the output of the calcination process based on the historical and future data information of the calcination process, and uses the model output trajectory to create a nonlinear objective function, and uses the sequential quadratic programming method to find the optimal solution to the objective function, and obtains the predicted value of the calcination control quantity, which adapts to the dynamics of the cement rotary kiln calcination process, the coupling between multiple variables, nonlinearity, and time lag. However, CN102629104B simply uses the measured NOx content to reflect the burning zone temperature, and uses the measured oxygen content to reflect the combustion state of the coal in the kiln. From the perspective of cement technology, this is not perfect, because the NOx content, oxygen content, etc. are strongly correlated. It is too absolute to use the measured NOx content alone to reflect the burning zone temperature. Similarly, a high oxygen content cannot simply indicate that the coal has a good combustion state. At the same time, CN102629104B is only applicable to a single cement production line, and must be re-learned for different cement production lines. Data between different cement production lines, such as the measured NOx content, cannot be directly compared to judge the burning zone temperature. In addition, CN102629104B does not consider the influence of coal powder composition. When the coal powder is changed, the working conditions of the cement rotary kiln will change dramatically, and the original rules and summaries will no longer apply. Summary of the invention

[0005] Technical Purpose

[0006] The present invention provides a method, system and information data processing terminal for judging the kiln condition of a cement rotary kiln; the technical problems to be solved are as follows:

[0007] First, how to quickly determine the kiln condition of the cement rotary kiln through fast and measurable data;

[0008] Second, analyze the reasons for the good or bad kiln conditions;

[0009] Third, by judging the kiln conditions, the relevant parameters of cement production can be quickly adjusted to ensure the output and quality of cement clinker.

[0010] In order to solve the above problems, the present invention provides a method for judging the kiln condition of a cement rotary kiln, which uses industrial analysis of coal powder and gas composition in the smoke chamber of the cement kiln as the main judgment basis to quickly judge the kiln condition in the rotary kiln.

[0011] Technical Solution

[0012] The first object of the present invention is to provide a method for determining the kiln condition of a cement rotary kiln, wherein the following steps are performed within each set time period T0:

[0013] S1. Obtain basic data; specifically:

[0014] Obtain the average value of the input and output during the cement rotary kiln calcination process, wherein: the input includes the industrial analysis volatile matter Vad of coal; the output includes the smoke chamber nitrogen oxide baseline concentration C NOx , Actual measured oxygen concentration in smoke chamber C O2 , the measured concentration of carbon monoxide in the smoke chamber C CO ;

[0015] S2. Basic data analysis; specifically:

[0016] First, according to the actual measured oxygen concentration C in the smoke chamber O2 The industrial analysis volatile matter Vad of coal is used to calculate the standard concentration of nitrogen oxides in the smoke chamber under steady state C according to the following formula: NOx2 :

[0017] C NOx2 =1.15*Vad*Vad-75*Vad+1800+500*(C O2 -1.5);

[0018] Then calculate the absolute value and deviation:

[0019] Absolute value calculation formula: abs(C NOx -C NOx2 );

[0020] Deviation calculation formula: ε(C NO )=abs(C NOx -C NOx2 ) / Max(C NOx , C NOx2 );

[0021] S3. Initial judgment:

[0022] If the measured carbon monoxide concentration in the smoke room is C CO Less than the manually set value C COmax , then execute S4, otherwise it is considered that the kiln condition is not good;

[0023] S4, secondary judgment; specifically:

[0024] If ε(C NO ) is less than 10%, the kiln condition is considered good;

[0025] If ε(C NO ) is greater than 10%, and CNOx -C NOx2 If it is not less than 200, it is considered that overburning occurs in the kiln, and the coal feeding amount F at the kiln head should be reduced.

[0026] If ε(C NO ) is greater than 10%, and C NOx -C NOx2 is less than 200, it is considered that the kiln condition is not good.

[0027] Preferably, before S1, it further includes: grouping according to different parameters, and the items for grouping include:

[0028] Raw meal parameters: raw meal feeding amount M, KH value of raw meal;

[0029] Coal powder parameters: industrial analysis volatile content Vad of coal;

[0030] Under the normal and stable condition of the cement process, record all the coal feeding amounts F at the kiln head within different time periods T0 under different groupings within a certain period of time, and generate a sample database; the sample database automatically updates data including the average value average(F) and standard deviation ε(F) of different groupings over time.

[0031] Preferably, when it is determined in S3 and / or S4 that the kiln condition is not good, the cause analysis is carried out through the following steps:

[0032] The first step is to select the average value average(F) and standard deviation ε(F) of the corresponding unit in the sample database according to the actual operating parameters of the current production line, and set the deviation coefficient ke;

[0033] The second step is that within the current time period T0, if average(F) - ke * ε(F) < F < average(F) + ke * ε(F), the reason for the poor kiln condition is one or more of insufficient combustion-supporting air volume in the rotary kiln, crust formation in the rotary kiln, inappropriate opening of the tertiary air damper, and insufficient draft of the high-temperature fan;

[0034] The third step is that within the current time period T0, if F < average(F) - ke * ε(F), the reason for the poor kiln condition is insufficient fuel in the rotary kiln, and the coal feeding amount F at the kiln head should be increased;

[0035] The fourth step is that within the current time period T0, if F > average(F) + ke * ε(F), the reason for the poor kiln condition is excessive fuel addition in the rotary kiln, and the coal feeding amount F at the kiln head should be reduced.

[0036] Preferably, when it is determined in S3 and / or S4 that the kiln condition is not good or overburning occurs in the kiln, and the coal feeding amount F at the kiln head should be increased or reduced, the following operations are performed within a time period T0:

[0037] When ε(C NO ) is between 10% and 20%, the adjustment range is F / 100 with two decimal places;

[0038] When ε(C NO ) is between 20% and 30%, the adjustment range is F / 80 with two decimal places;

[0039] When ε(C NO ) is greater than 30%, the adjustment range is F / 50 with two decimal places.

[0040] A second object of the present invention is to provide a system for determining the kiln condition of a cement rotary kiln, comprising at least:

[0041] Basic data acquisition module: obtain the average value of input and output during the cement rotary kiln calcination process, where: the input includes the industrial analysis volatile matter Vad of coal; the output includes the smoke chamber nitrogen oxide baseline concentration C NOx , Actual measured oxygen concentration in smoke chamber C O2 , the measured concentration of carbon monoxide in the smoke chamber C CO ;

[0042] Basic data analysis module: First, according to the actual measured oxygen concentration C in the smoke chamber O2 The industrial analysis volatile matter Vad of coal is used to calculate the standard concentration of nitrogen oxides in the smoke chamber under steady state C according to the following formula: NOx2 :

[0043] C NOx2 =1.15*Vad*Vad-75*Vad+1800+500*(C O2 -1.5);

[0044] Then calculate the absolute value and deviation:

[0045] Absolute value calculation formula: abs(C NOx -C NOx2 );

[0046] Deviation calculation formula: ε(C NO )=abs(C NOx -C NOx2 ) / Max(C NOx , C NOx2 );

[0047] Initial judgment module: If the measured carbon monoxide concentration in the smoke chamber is C CO Less than the manually set value C COmax , then execute S4, otherwise it is considered that the kiln condition is not good;

[0048] Secondary judgment module:

[0049] If ε(C NO ) is less than 10%, the kiln condition is considered good;

[0050] If ε(C NO ) is greater than 10% and C NOx -C NOx2 is not less than 200, it is considered that overburning occurs in the kiln, and the coal feeding amount F at the kiln head should be reduced;

[0051] If ε(C NO ) is greater than 10% and C NOx -C NOx2 is less than 200, the kiln condition is considered not good.

[0052] Preferably, it further includes a grouping module: grouping according to different parameters, and the grouping items include:

[0053] Raw material parameters: raw material feeding amount M, KH value of raw material;

[0054] Coal powder parameters: industrial analysis volatile content Vad of coal;

[0055] Under the normal and stable condition of the cement process, record all the coal feeding amounts F at the kiln head in different time periods T0 under different groupings within a certain period of time to generate a sample database; the sample database automatically updates data including the average value average(F) and standard deviation ε(F) of different groupings over time.

[0056] Preferably, when the primary judgment module and / or the secondary judgment module determines that the kiln condition is not good, the cause analysis is carried out through the following steps:

[0057] The first step is to select the average value average(F) and standard deviation ε(F) of the corresponding unit in the sample database according to the actual operating parameters of the current production line, and set the deviation coefficient ke;

[0058] The second step is that within the current time period T0, if average(F)-ke*ε(F)<F<average(F)+ke*ε(F), the reason for the bad kiln condition is one or more of insufficient combustion-supporting air volume in the rotary kiln, scale formation in the rotary kiln, inappropriate opening of the tertiary air damper, and insufficient draft of the high-temperature fan;

[0059] The third step is that within the current time period T0, if F<average(F)-ke*ε(F), the reason for the bad kiln condition is insufficient fuel in the rotary kiln, and the coal feeding amount F at the kiln head should be increased;

[0060] The fourth step is that within the current time period T0, if F>average(F)+ke*ε(F), the reason for the bad kiln condition is excessive fuel addition in the rotary kiln, and the coal feeding amount F at the kiln head should be reduced.

[0061] Preferably, when the primary judgment module and / or the secondary judgment module determines that the kiln condition is bad or the kiln is overburned, and the kiln head coal feeding amount F should be increased or decreased, the following operations are performed within a time period T0:

[0062] When ε(C NO ) is between 10% and 20%, the adjustment range is F / 100 with two decimal places;

[0063] When ε(C NO ) is between 20% and 30%, the adjustment range is F / 80 with two decimal places;

[0064] When ε(C NO ) is greater than 30%, the adjustment range is F / 50 with two decimal places.

[0065] The third invention objective of this patent is to provide an information data processing terminal that implements the above-mentioned method for determining the kiln condition of a cement rotary kiln.

[0066] The fourth invention objective of this patent is to provide a computer-readable storage medium, including instructions, which, when run on a computer, enables the computer to execute the above-mentioned method for judging the kiln condition of a cement rotary kiln.

[0067] The advantages and positive effects of the present invention are:

[0068] First, the combustion state of coal powder in the cement rotary kiln, i.e. the kiln condition, is comprehensively judged through the volatile matter of the industrial analysis of coal, the baseline concentration of nitrogen oxides in the smoke chamber, the measured concentration of oxygen, and the measured concentration of carbon monoxide;

[0069] Second, analyze the reasons for the good or bad condition of the cement rotary kiln;

[0070] Third, make targeted adjustments to the cement production process based on the condition of the cement rotary kiln to ensure the output and quality of cement clinker;

[0071] Fourth, realize intelligent and continuous operation of cement kilns in most cases. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a flow chart of a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0073] In order to further understand the content, features and effects of the present invention, the following embodiments are given and described in detail as follows.

[0074] See also Figure 1 A method for judging the kiln condition of a cement rotary kiln comprises the following steps:

[0075] The first step is to determine the average values ​​of the main input and output of the cement rotary kiln calcination process in each manually set time period T0. The input includes: the industrial analysis volatile content of coal Vad (unit: %); the output includes: the smoke chamber nitrogen oxide baseline concentration C tested by the online flue gas analyzer NOx (Unit: mg / m3, refers to the reference concentration under the reference oxygen content state specified in GB4915-2013, not the actual measured nitrogen oxide concentration), the actual measured oxygen concentration C in the smoke chamber tested by the online flue gas analyzer O2 (Unit: %), the measured carbon monoxide concentration in the smoke chamber tested by the online flue gas analyzer C CO (Unit: ppm).

[0076] The second step is to calculate the oxygen concentration in the smoke chamber according to the known measured oxygen concentration C in each manually set time period T0. O2 The industrial analysis volatile matter Vad of coal is used to calculate the standard concentration of nitrogen oxides in the smoke chamber under steady state C according to the following calculation formula: NOx2 (Unit: mg / m3, refers to the benchmark concentration specified in GB4915-2013).

[0077] C NOx2 =1.15*Vad*Vad-75*Vad+1800+500*(C O2 -1.5)

[0078] C NOx2 The minimum value is 0.

[0079] Find the absolute value abs(C NOx -C NOx2 ) and deviation ε(C NO )=abs(C NOx -C NOx2 ) / Max(C NOx , C NOx2 ).

[0080] Step 3: In each manually set time period T0, if C CO <manually set value COmax, the next step of judgment is carried out, otherwise it is considered that the kiln condition is not good.

[0081] Step 4: In each manually set time period T0, if ε(C NO )<10%, the kiln condition is considered good; if ε(C NO )>10% and C NOx -C NOx2 ≥200, the kiln is considered over-fired and F should be reduced; if ε(C NO )>10% and C NOx -C NOx2 <200, the kiln condition is considered to be poor.

[0082] To further determine the reasons for the poor kiln condition, grouping is carried out according to different parameters. The items for grouping include,

[0083] Raw material parameters: raw material feeding amount M, KH value of raw material.

[0084] Coal powder parameters: volatile matter Vad in the proximate analysis of coal.

[0085] Under the condition that the cement process operator believes the cement process is normal and stable, record all the coal feeding amounts F at the kiln head within different time periods in T0 under different groupings within a certain time, and generate a sample database. The average value average(F) and standard deviation ε(F) of this sample database for different groupings are automatically updated as time goes by.

[0086] The data of common database units are in the following form:

[0087] Data grouping: raw material feeding amount M = the manually set feeding amount ± fluctuation range t / h, KH value of raw material = measured value ± 0.005, volatile matter Vad of coal powder = measured value ± 0.5.

[0088] Corresponding data: average(F) = the manually set coal feeding amount at the kiln head.

[0089] The method for adjusting the kiln condition is as follows:

[0090] First step, select the average value average(F) and standard deviation ε(F) of the corresponding unit in the sample library according to the actual operating parameters of the current production line, and manually set the deviation coefficient ke.

[0091] Second step, within the current time period T0, if it has been determined that the kiln condition is poor, and within the current time period T0, average(F) - ke * ε(F) < F < average(F) + ke * ε(F), then the reason for the poor kiln condition is insufficient combustion-supporting air volume in the rotary kiln. It should be considered to check factors such as whether there is crusting in the rotary kiln, whether the opening of the tertiary air damper is appropriate, and whether the draft of the high-temperature fan is sufficient. This state belongs to a very abnormal working condition and requires manual judgment and intervention.

[0092] Third step, within the current time period T0, if it has been determined that the kiln condition is poor, and within the current time period T0, F < average(F) - ke * ε(F), then the reason for the poor kiln condition is insufficient fuel in the rotary kiln, and the coal feeding amount F at the kiln head should be increased.

[0093] The fourth step is, in the current time period T0, if it has been judged that the kiln condition is not good, and F>average(F)+ke*ε(F) in the current time period T0, then the reason for the poor kiln condition is excessive fuel addition in the rotary kiln, and the coal feeding amount F at the kiln head should be reduced.

[0094] If it is judged that the kiln condition is not good or the kiln is overburned, and the kiln head coal feeding amount F should be increased or decreased, the range of adjustment of the operating parameters of the cement rotary kiln is as follows:

[0095] The adjustment range of F is within a T0, ε(C NO ) is between 10% and 20%, the adjustment range is F / 100 with two decimal places; the adjustment range of F is within a T0, ε(C NO ) is between 20% and 30%, then the adjustment range is F / 80 with two decimal places; the adjustment range of F is within a T0, ε(C NO ) is greater than 30%, the adjustment range is F / 50 with two decimal places. Specific implementation method one:

[0097] Calculations and judgments were made based on the case of continuous production of a cement kiln in a cement clinker production line in Zhejiang with a daily output of 6,000 tons.

[0098] Under the condition that the cement process operator believes that the cement process is normal and stable, record all the kiln head coal feeding F in different periods of T0 in different groups within a certain period of time. The total sample database automatically updates the average value average(F) and standard deviation ε(F) of different units as time goes by. The deviation coefficient ke=3 is set manually.

[0099] In the set time period T0 = 10 seconds, determine the average values ​​of the main input and output of the cement rotary kiln calcination process. The input includes: the industrial analysis volatile content of coal Vad (unit: %) = 27.0; the output includes: the smoke chamber nitrogen oxide baseline concentration C tested by the online flue gas analyzer NOx =900 (unit: mg / m3, referring to the reference concentration specified in GB4915-2013), the actual oxygen concentration in the smoke chamber tested by the online flue gas analyzer C O2 =1.8 (unit: %), the actual concentration of carbon monoxide in the smoke chamber tested by the online flue gas analyzer C CO =300 (unit: ppm) Manual setting value COmax = 2000 (unit: ppm).

[0100] Within T0 = 10 minutes, according to the known measured oxygen concentration C in the smoke chamber O2 The industrial analysis volatile matter Vad of coal is used to calculate the standard concentration of nitrogen oxides in the smoke chamber under steady state C according to the following calculation formula: NOx2(Unit: mg / m3, refers to the benchmark concentration specified in GB4915-2013).

[0101] C NOx2 =1.15*Vad*Vad-75*Vad+1800+500*(C O2 -1.5)

[0102] =1.15*27.0*27.0-75*27.0+1800+500*(1.8-1.5)

[0103] =763

[0104] abs(C NOx -C NOx2 )=900-763=137

[0105] ε(C NO )=abs(C NOx -C NOx2 ) / Max(C NOx , C NOx2 )=137 / 900=15.2%

[0106] C CO =300<manual setting value COmax=2000.

[0107] ε(C NO )>10% and C NOx -C NOx2 =900-763=137<200, which means the kiln condition is not good.

[0108] Query database unit data:

[0109] Data grouping: raw meal feed rate M = 380 ± 5 t / h, raw meal KH value = 0.91 ± 0.005, pulverized coal volatile matter Vad = 27.0 ± 0.5. Corresponding data: average (F) = 13.00 t / h, ε (F) = 0.10.

[0110] The current period F = 13.90t / h.

[0111] F=13.90>average(F)+ke*ε(F)=13.00+3*0.10=13.30, the reason for the poor kiln condition is that excessive fuel is added to the rotary kiln, and F should be reduced.

[0112] ε(C NO )15.2% is between 10% and 20%, and the adjustment range of F is rounded to two decimal places (F / 100) = 0.14, that is, F is adjusted to 13.90-0.14 = 13.76t / h. Specific implementation method 2:

[0114] Calculations and judgments were made based on the case of continuous production of a cement kiln in a cement clinker production line in Zhejiang with a daily output of 6,000 tons.

[0115] Under the condition that the cement process operator believes that the cement process is normal and stable, record all the kiln head coal feeding F in different periods of T0 in different groups within a certain period of time. The total sample database automatically updates the average value average(F) and standard deviation ε(F) of different units as time goes by. The deviation coefficient ke=3 is set manually.

[0116] In the set time period T0 = 10 seconds, determine the average values ​​of the main input and output of the cement rotary kiln calcination process. The input includes: the industrial analysis volatile content of coal Vad (unit: %) = 27.0; the output includes: the smoke chamber nitrogen oxide baseline concentration C tested by the online flue gas analyzer NOx =1400 (unit: mg / m3, referring to the reference concentration specified in GB4915-2013), the actual oxygen concentration in the smoke chamber tested by the online flue gas analyzer C O2 =1.8 (unit: %), the actual concentration of carbon monoxide in the smoke chamber tested by the online flue gas analyzer C CO =300 (unit: ppm) Manual setting value COmax = 2000 (unit: ppm).

[0117] Within T0 = 10 minutes, according to the known measured oxygen concentration C in the smoke chamber O2 The industrial analysis volatile matter Vad of coal is used to calculate the standard concentration of nitrogen oxides in the smoke chamber under steady state C according to the following calculation formula: NOx2 (Unit: mg / m3, refers to the benchmark concentration specified in GB4915-2013).

[0118] C NOx2 =1.15*Vad*Vad-75*Vad+1800+500*(C O2 -1.5)

[0119] =1.15*27.0*27.0-75*27.0+1800+500*(1.8-1.5)

[0120] =763

[0121] abs(C NOx -C NOx2 )=1400-763=637

[0122] ε(C NO )=abs(C NOx -C NOx2 ) / Max(CNOx , C NOx2 )=637 / 900=70.7%

[0123] C CO =300<manual setting value COmax=2000.

[0124] ε(C NO )>10% and C NOx -C NOx2 =1400-763=637>200, it is considered that the kiln is over-fired.

[0125] ε(C NO ) is greater than 30%, then the adjustment range is F / 50 with two decimal places (F / 50) = 0.28, that is, F is adjusted to 13.90-0.28 = 13.62t / h.

[0126] See also Figure 1 , a cement rotary kiln condition judgment system, comprising:

[0127] Basic data acquisition module: In each manually set time period T0, determine the average value of the main input and output of the cement rotary kiln calcination process. The input includes: the industrial analysis volatile content of coal Vad (unit: %); the output includes: the smoke chamber nitrogen oxide baseline concentration C tested by the online flue gas analyzer NOx (Unit: mg / m3, refers to the reference concentration specified in GB4915-2013), the actual oxygen concentration in the smoke chamber tested by the online flue gas analyzer C O2 (Unit: %), the measured carbon monoxide concentration in the smoke chamber tested by the online flue gas analyzer C CO (Unit: ppm);

[0128] Basic data analysis module: In each manually set time period T0, according to the known measured oxygen concentration C in the smoke chamber O2 The industrial analysis volatile matter Vad of coal is used to calculate the standard concentration of nitrogen oxides in the smoke chamber under steady state C according to the following calculation formula: NOx2 (Unit: mg / m3, refers to the benchmark concentration specified in GB4915-2013);

[0129] C NOx2 =1.15*Vad*Vad-75*Vad+1800+500*(C O2 -1.5);

[0130] Then calculate the absolute value and deviation:

[0131] Absolute value calculation formula: abs(C NOx -C NOx2 );

[0132] Deviation calculation formula: ε(C NO )=abs(C NOx -C NOx2 ) / Max(C NOx , C NOx2 );

[0133] Initial judgment module: In each manually set time period T0, if the measured carbon monoxide concentration in the smoke room is C CO <manually set value COmax, the next step of judgment is carried out, otherwise it is considered that the kiln condition is not good.

[0134] Secondary judgment module: within each manually set time period T0;

[0135] If ε(C NO ) is less than 10%, the kiln condition is considered good;

[0136] If ε(C NO ) is greater than 10%, and C NOx -C NOx2 If it is not less than 200, the kiln is considered to be over-burned and the amount of coal fed to the kiln head F should be reduced;

[0137] If ε(C NO ) is greater than 10%, and C NOx -C NOx2 If it is less than 200, the kiln condition is considered to be poor.

[0138] Preferably, it also includes a grouping module: grouping according to different parameters, and the grouping items include:

[0139] Raw meal parameters: raw meal feed quantity M, raw meal KH value;

[0140] Coal powder parameters: industrial analysis of coal volatile matter Vad;

[0141] Under normal and stable cement process conditions, record all kiln head coal feeding amounts F in different time periods T0 in different groups within a certain period of time to generate a sample database; the sample database includes the average value average(F) and standard deviation ε(F) of different groups, and automatically updates the data as time goes by.

[0142] When the primary judgment module and / or the secondary judgment module determines that the kiln condition is not good, the cause analysis is carried out through the following steps:

[0143] The first step is to select the average value average(F) and standard deviation ε(F) of the corresponding unit in the sample database according to the actual operating parameters of the current production line, and set the deviation coefficient ke;

[0144] Step 2, within the current period T0, if average(F) - ke * ε(F) < F < average(F) + ke * ε(F), then the reasons for the poor kiln condition are one or more of insufficient combustion-supporting air volume in the rotary kiln, the presence of buildups in the rotary kiln, inappropriate opening of the tertiary air damper, and insufficient draft of the high-temperature fan. This state belongs to a very abnormal working condition and requires manual judgment and intervention;

[0145] Step 3, within the current period T0, if F < average(F) - ke * ε(F), then the reason for the poor kiln condition is insufficient fuel in the rotary kiln, and the coal feeding amount F at the kiln head should be increased;

[0146] Step 4, within the current period T0, if F > average(F) + ke * ε(F), then the reason for the poor kiln condition is excessive fuel addition in the rotary kiln, and the coal feeding amount F at the kiln head should be reduced.

[0147] When the primary judgment module and / or the secondary judgment module determines that the kiln condition is poor or there is overburning in the kiln, and the coal feeding amount F at the kiln head should be increased or decreased, the following operations are performed within a period T0:

[0148] When the absolute value of ε(C NO ) is between 10% and 20%, the adjustment range is F / 100 rounded to two decimal places;

[0149] When the absolute value of ε(C NO ) is between 20% and 30%, the adjustment range is F / 80 rounded to two decimal places;

[0150] When the absolute value of ε(C NO ) is greater than 30%, the adjustment range is F / 50 rounded to two decimal places.

[0151] An information data processing terminal for implementing the judgment method of the cement rotary kiln condition described above.

[0152] A computer-readable storage medium, including instructions, which when running on a computer, cause the computer to execute the judgment method of the cement rotary kiln condition described above.

[0153] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When the use is implemented in whole or in part in the form of a computer program product, the computer program product includes one or more computer instructions. When the computer program instructions are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL) or wireless (e.g., infrared, wireless, microwave, etc.) mode) to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk SolidState Disk (SSD)), etc.

[0154] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any simple modification, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention are within the scope of the technical solution of the present invention.

Claims

1. A method for determining the kiln condition of a cement rotary kiln, characterized in that: Within each set time period T0, the following steps are executed: S1. Obtain basic data; specifically: Obtain the average value of the input and output during the cement rotary kiln calcination process, wherein: the input includes the industrial analysis volatile matter Vad of coal; the output includes the smoke chamber nitrogen oxide baseline concentration C NOx , Actual measured oxygen concentration in smoke chamber C O2 , the measured concentration of carbon monoxide in the smoke chamber C CO ; S2. Analyze the basic data; specifically: First, according to the actual measured oxygen concentration C in the smoke chamber O2 The industrial analysis volatile matter Vad of coal is used to calculate the standard concentration of nitrogen oxides in the smoke chamber under steady state C according to the following formula: NOx2 : C NOx2 =1.15*Wat*Wat-75*Wat+1800+500*(C O2 -1.5); Then calculate the absolute value and deviation: Absolute value calculation formula: abs(C NOx -C NOx2 ); Deviation calculation formula: ε(C NO )=abs(C NOx -C NOx2 ) / Max(C NOx , C NOx2 ); S3. Make a primary judgment; specifically: If the measured carbon monoxide concentration in the smoke room is C CO Less than the manually set value C COmax , then execute S4, otherwise it is considered that the kiln condition is not good; S4. Make a secondary judgment; specifically: If ε(C NO ) is less than 10%, the kiln condition is considered good; If ε(C NO ) is greater than 10%, and C NOx -C NOx2 If it is not less than 200, the kiln is considered to be over-burned and the amount of coal fed to the kiln head F should be reduced; If ε(C NO ) is greater than 10%, and C NOx -C NOx2 If it is less than 200, the kiln condition is considered to be poor.

2. The method for determining the kiln condition of a cement rotary kiln according to claim 1, characterized in that: Before S1, it also includes: Grouping according to different parameters, and the items for grouping include: Raw material parameters: Raw material feeding amount M, KH value of the raw material; Coal powder parameters: Industrial analysis volatile content Vad of the coal; Under normal and stable cement process conditions, record all kiln head coal feeding amounts F within different time periods T0 under different groupings within a certain period of time to generate a sample database; the sample database includes the average value average(F) and standard deviation ε(F) of different groupings, and automatically updates the data as time goes by.

3. The method for determining the kiln condition of a cement rotary kiln according to claim 2, characterized in that: When S3 and / or S4 determines that the kiln condition is not good, the cause analysis is carried out through the following steps: The first step is to select the average value average(F) and standard deviation ε(F) of the corresponding unit in the sample database according to the actual operating parameters of the current production line, and set the deviation coefficient ke; The second step is that within the current time period T0, if average(F) - ke * ε(F) < F < average(F) + ke * ε(F), then the reason for the poor kiln condition is one or more of insufficient combustion-supporting air volume in the rotary kiln, scale formation in the rotary kiln, inappropriate opening of the tertiary air damper, and insufficient draft of the high-temperature fan; The third step is that within the current time period T0, if F < average(F) - ke * ε(F), then the reason for the poor kiln condition is insufficient fuel in the rotary kiln, and the kiln head coal feeding amount F should be increased; The fourth step is that within the current time period T0, if F > average(F) + ke * ε(F), then the reason for the poor kiln condition is excessive fuel addition in the rotary kiln, and the kiln head coal feeding amount F should be reduced.

4. The method for determining the kiln condition of a cement rotary kiln according to claim 3, characterized in that: When S3 and / or S4 determines that the kiln condition is not good or overburning occurs in the kiln, and the kiln head coal feeding amount F should be increased or reduced, within a time period T0, the following operations are performed: When ε(C NO ) is between 10% and 20%, the adjustment range is F / 100 with two decimal places; When ε(C NO ) is between 20% and 30%, the adjustment range is F / 80 with two decimal places; When ε(C NO ) is greater than 30%, the adjustment range is F / 50 with two decimal places.

5. A cement rotary kiln condition judgment system, characterized in that: At least include: Basic data acquisition module: obtain the average value of input and output during the cement rotary kiln calcination process, where: the input includes the industrial analysis volatile matter Vad of coal; the output includes the smoke chamber nitrogen oxide baseline concentration C NOx , Actual measured oxygen concentration in smoke chamber C O2 , the measured concentration of carbon monoxide in the smoke chamber C CO ; Basic data analysis module: First, according to the actual measured oxygen concentration C in the smoke chamber O2 The industrial analysis volatile matter Vad of coal is used to calculate the standard concentration of nitrogen oxides in the smoke chamber under steady state C according to the following formula: NOx2 : C NOx2 =1.15*Wat*Wat-75*Wat+1800+500*(C O2 -1.5); Then calculate the absolute value and deviation: Absolute value calculation formula: abs(C NOx -C NOx2 ); Deviation calculation formula: ε(C NO )=abs(C NOx -C NOx2 ) / Max(C NOx , C NOx2 ); Initial judgment module: If the measured carbon monoxide concentration in the smoke chamber is C CO Less than the manually set value C COmax , then execute S4, otherwise it is considered that the kiln condition is not good; Secondary judgment module: If ε(C NO ) is less than 10%, the kiln condition is considered good; If ε(C NO ) is greater than 10%, and C NOx -C NOx2 If it is not less than 200, the kiln is considered to be over-burned and the amount of coal fed to the kiln head F should be reduced; If ε(C NO ) is greater than 10%, and C NOx -C NOx2 If it is less than 200, the kiln condition is considered to be poor.

6. The cement rotary kiln condition judgment system according to claim 5, characterized in that: It also includes a grouping module: Grouping according to different parameters, and the items for grouping include: Raw material parameters: Raw material feeding amount M, KH value of the raw material; Coal powder parameters: Industrial analysis volatile content Vad of the coal; Under normal and stable cement process conditions, record all kiln head coal feeding amounts F within different time periods T0 under different groupings within a certain period of time to generate a sample database; the sample database includes the average value average(F) and standard deviation ε(F) of different groupings, and automatically updates the data as time goes by.

7. The cement rotary kiln condition judgment system according to claim 6, characterized in that: When the primary judgment module and / or the secondary judgment module determines that the kiln condition is not good, the cause analysis is carried out through the following steps: The first step is to select the average value average(F) and standard deviation ε(F) of the corresponding unit in the sample database according to the actual operating parameters of the current production line, and set the deviation coefficient ke; In the second step, within the current time period T0, if average(F) - ke * ε(F) < F < average(F) + ke * ε(F), then the reason for the poor kiln condition is one or more of insufficient combustion-supporting air volume in the rotary kiln, clinker formation in the rotary kiln, inappropriate opening degree of the tertiary air damper, and insufficient draft of the high-temperature fan; In the third step, within the current time period T0, if F < average(F) - ke * ε(F), then the reason for the poor kiln condition is insufficient fuel in the rotary kiln, and the coal feeding amount F at the kiln head should be increased; In the fourth step, within the current time period T0, if F > average(F) + ke * ε(F), then the reason for the poor kiln condition is excessive fuel addition in the rotary kiln, and the coal feeding amount F at the kiln head should be decreased.

8. The cement rotary kiln condition determination system according to claim 7, characterized in that: When the primary judgment module and / or the secondary judgment module determines that the kiln condition is poor or overburned in the kiln, and the coal feeding amount F at the kiln head should be increased or decreased, the following operations are performed within a time period T0: When ε(C NO ) is between 10% and 20%, the adjustment range is F / 100 with two decimal places; When ε(C NO ) is between 20% and 30%, the adjustment range is F / 80 with two decimal places; When ε(C NO ) is greater than 30%, the adjustment range is F / 50 with two decimal places.

9. An information data processing terminal for implementing the method for judging the condition of a cement rotary kiln according to any one of claims 1 to 4.

10. A computer-readable storage medium, including instructions, which when run on a computer, cause the computer to execute the method for judging the condition of a cement rotary kiln according to any one of claims 1 to 4.

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