A new dry cement kiln precalciner temperature control method and system

Abstract

The present invention discloses a novel temperature control method and system for the decomposition furnace of a dry cement kiln, belonging to the technical field of cement production control. The novel temperature control method for the decomposition furnace of a dry cement kiln includes the following steps: collecting the pressure of the gas conveying equipment, the kiln feed rate, and the CO concentration data; respectively calculating the weighting coefficients according to the collected data: calculating the pressure weighting coefficient, calculating the feed rate weighting coefficient, and calculating the oxygen deficiency weighting coefficient; performing weighted calculation on the tail coal feed quantity through the calculated weighting coefficients; and outputting the tail coal feed quantity to realize the control of the temperature of the decomposition furnace. By calculating the pressure weighting coefficient of the tail coal feed quantity, the present invention can more accurately determine the tail coal feed quantity, improve the stability of the production process and the product quality, can reflect the change trend of the tail coal flow rate in real time, enable the operator to timely adjust the tail coal feed quantity, improve the production efficiency, can avoid the occurrence of excessive or insufficient tail coal, and reduce the energy consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of cement production control, and more specifically, to a novel dry cement kiln decomposition furnace temperature control method and system. Background Art

[0002] Cement is one of the important raw materials for national economic construction and can be widely used in civil, industrial, agricultural, water conservancy, transportation, military and other projects. The new dry process cement production technology takes suspension preheating and pre-calcination technology as the core. Taking a new dry process cement production line with a daily output of 5000t / d as an example, the technological process mainly includes multiple units such as a pre-calcination system, a clinker burning system, and a cement grinding system. The ground raw meal is mixed and homogenized in a homogenizing silo in a certain proportion of ingredients, and then transported to the pre-calcination system by a bucket elevator. The raw meal and fine pulverized coal are transported to the decomposition furnace in a certain proportion and injected for flameless combustion. The raw meal absorbs heat and undergoes a decomposition reaction, and the decomposed raw meal is sent into the rotary kiln for further calcination. In order to improve the decomposition rate of pre-calcination and stabilize the thermal regime of the rotary kiln, the amount of tail coal in the decomposition furnace needs to be adjusted promptly, quickly, and accurately, and the temperature of the decomposition furnace should not fluctuate greatly. If the injection amount of tail coal is adjusted frequently and quickly to stabilize the temperature of the decomposition furnace, it may break the balance relationship of air, coal, and materials in the decomposition furnace, resulting in insufficient oxygen in the decomposition furnace, a low temperature of the decomposition furnace, unqualified clinker quality, and increased fuel waste and cost; if the injection amount of tail coal is stabilized without adjustment, the temperature of the decomposition furnace cannot be balanced with air and materials in time, resulting in too high f-cao content and affecting the decomposition efficiency of the decomposition furnace.

[0003] In view of this, we propose a novel dry cement kiln decomposition furnace temperature control method and system. Summary of the Invention

[0004] The purpose of the present invention is to provide a novel dry cement kiln decomposition furnace temperature control method and system to solve the problems raised in the above background art: large fluctuations in the temperature of the decomposition furnace and mismatches in air, coal, and materials during the production process of the new dry cement process.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A novel dry cement kiln decomposition furnace temperature control method includes the following steps:

[0007] Step 1, collect the pressure of the gas conveying equipment, the kiln feed amount, and the CO concentration data;

[0008] Step 2, calculate the weighted coefficients respectively according to the collected data: 2.1 calculate the pressure weighted coefficient, 2.2 calculate the feed amount weighted coefficient, 2.3 calculate the oxygen deficiency weighted coefficient;

[0009] Step 3: Perform weighted calculation of the tail coal feed quantity using the calculated weighted coefficient;

[0010] Step 4: Output the tail coal feed quantity to achieve control of the precalciner temperature.

[0011] Preferably, the calculation steps of the pressure weighted coefficient are as follows:

[0012] Step 2.1.1: Store the real-time collected pressure value and the tail coal feedback value in the form of an array;

[0013] Step 2.1.2: Perform filtering processing on the stored data. Assume the collected pressure data sequence is P 1, P 2, P 3,..., P n , and using the method of mean filtering, the filtered pressure value P filtered is:

[0014]

[0015] where n is the number of data points participating in the filtering;

[0016] Step 2.1.3: Calculate the real-time slope of the outlet pressure of the gas conveying equipment and the real-time slope of the tail coal feedback quantity respectively; Assume the measured outlet pressure values within a period of time interval [t1, t2] are p1 and p2 respectively, then the real-time slope of the pressure ; Within the same time period [t1, t2], obtain the tail coal quantity data feedback by the tail coal scale. Assume the tail coal scale feedback quantities are w1 and w2 respectively, then the slope of the tail coal scale feedback quantity ;

[0017] Step 2.1.4: Divide the real-time slope of the pressure by the slope of the tail coal scale feedback quantity to determine whether there is a good corresponding relationship between the real-time slope of the pressure taken and the real-time slope of the tail coal feedback quantity; If the value of the real-time slope of the tail coal feedback quantity divided by the real-time slope of the fan pressure is less than 0.6, it is considered that there is a good corresponding relationship between the current real-time slope of the pressure and the real-time slope of the tail coal feedback quantity, that is, the pressure weighted coefficient of the tail coal feed quantity is obtained as ; Otherwise, the current data will be discarded.

[0018] Preferably, the calculation steps of the feed quantity weighted coefficient are as follows:

[0019] Step 2.2.1: Collect the kiln feed quantity data in real time and store it in the form of an array;

[0020] Step 2.2.2: Detect the change in the feeding amount. Let the change in the feeding amount be T. The calculation method of the change in the feeding amount T is the real-time value of the feeding amount minus the last value in the acquisition array, that is, the real-time value of the feeding amount in the previous acquisition cycle. If T is not 0, it is regarded as a change in the feeding amount.

[0021] Step 2.2.3: Adopt different processing logics for positive and negative T values. Let the real-time temperature of the decomposition furnace be D, the temperature set value be W, the adjustment amount of the pulverized coal for the final coal be Q, and the proportionality coefficient be k. When T > 0:

[0022] When the real-time temperature value D > the temperature set value W + 3, the adjustment amount of the pulverized coal for the final coal ;

[0023] When W - 3 < D < W + 3, the adjustment amount of the pulverized coal for the final coal ;

[0024] When the real-time temperature value D < the temperature set value W - 3, the adjustment amount of the pulverized coal for the final coal ;

[0025] When T < 0:

[0026] When the real-time temperature value D > the temperature set value W + 3, the adjustment amount of the pulverized coal for the final coal ;

[0027] When W - 3 < D < W + 3, the adjustment amount of the pulverized coal for the final coal ;

[0028] When the real-time temperature value D < the temperature set value W - 3, the adjustment amount of the pulverized coal for the final coal .

[0029] Preferably, the calculation steps of the anoxic weighting coefficient are as follows:

[0030] Step 2.3.1: Let the CO content value at the current moment be C t , and the CO content value at the previous moment be C t-1 , and the time interval be t;

[0031] Calculate the CO content change rate: , if the change rate exceeds the preset change rate threshold, it is considered that the CO data is abnormal and further judgment needs to be combined with other parameters;

[0032] Step 2.3.2: Calculate the deviation between the current CO content value and the historical average CO content value: ;

[0033] If the deviation D exceeds the preset deviation threshold D 设 , then discard the current data and further investigate the reason to ensure the effectiveness and reliability of the CO data;

[0034] Step 2.3.3: Set the hypoxia weighting coefficient as F and set the threshold value Z of the CO content MAX , if R > 0 and C t > Z MAX , then F = 0, and in other cases F = 1;

[0035] Preferably, the weighted calculation step of the tail coal feed quantity is as follows:

[0036] Set the tail coal feed quantity as M, the PID calculation result of the tail coal as U, and the calculation formula of the tail coal feed quantity is as follows:

[0037]

[0038] wherein, F is the hypoxia weighting coefficient, α is the pressure weighting coefficient, and Q is the adjustment amount of the tail coal used coal.

[0039] Preferably, the calculated tail coal feed quantity M is transmitted to the DCS through the OPC interface with the help of the control system, so as to adjust the tail coal feed quantity and further control the temperature of the decomposition furnace.

[0040] A new dry cement kiln decomposition furnace temperature control system applied to the above method, comprising:

[0041] The measurement element part, including a pressure gauge, a feedback of the kiln feed quantity, and a CO concentration meter;

[0042] The data acquisition module is used to acquire the pressure data, the feedback data of the kiln feed quantity, and the CO concentration data;

[0043] The filtering module is connected to the data acquisition module and filters the acquired data;

[0044] The parameter calculation module is connected to the filtering module and calculates relevant parameters according to the filtered data;

[0045] The control output module is connected to the parameter calculation module and outputs a control signal according to the calculated parameters to realize the control of the decomposition furnace temperature.

[0046] Preferably, the data acquisition module acquires the required relevant data from the on-site DCS device through the OPC interface and stores it in the form of an array;

[0047] The control output module is connected to the DCS system through the OPC interface and transmits the control signal to the DCS system.

[0048] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0049] (1) By combining the outlet pressure value of the Roots blower and the feedback quantity of the tail coal scale, the present invention calculates the pressure weighting coefficient of the tail coal feeding quantity, thereby more accurately determining the tail coal feeding quantity, improving the stability of the production process and the product quality. The real-time slope of the pressure can reflect the change trend of the tail coal flow rate in real time, enabling the operator to timely adjust the tail coal feeding quantity and improve the production efficiency.

[0050] (2) The present invention can accurately determine the tail coal feeding quantity, avoiding the occurrence of excessive or insufficient tail coal, thereby reducing energy consumption and saving production costs. By accurately controlling the tail coal feeding quantity, the wear and faults of the equipment can be reduced, and the reliability and service life of the equipment can be improved.

[0051] (3) The present invention adopts a combination of multiple control means, which can achieve precise control of the decomposition furnace temperature, improve the product quality and production efficiency. By monitoring the CO content in the kiln, timely adjusting the coal consumption of the tail coal, optimizing the combustion state, and reducing pollutant emissions. By comprehensively considering various factors, precise control of the tail coal feeding quantity and the decomposition furnace temperature is achieved, improving the stability and reliability of the system.

[0052] (4) Based on the intelligent control software platform, the present invention realizes the efficient acquisition, storage, analysis, calculation and writing back of DCS data, improving the automation level and accuracy of determining the tail coal feeding quantity and controlling the decomposition furnace temperature. Brief Description of the Drawings

[0053] Figure 1 is the flow chart of the method in the present invention;

[0054] Figure 2 is the schematic flow chart of calculating the pressure weighting coefficient of the tail coal feeding quantity in the present invention;

[0055] Figure 3 is the schematic flow chart of calculating the weighting coefficient of the feeding quantity in the present invention;

[0056] Figure 4 is the comparison chart of the stability of the decomposition furnace temperature control effect in the present invention compared with manual control;

[0057] Figure 5 is the structural block diagram of the system in the present invention. Detailed Embodiment

[0058] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0059] Embodiment:

[0060] Please refer to Figures 1-5, A new dry cement kiln precalciner temperature control method, comprising the following steps:

[0061] Step 1, collect the pressure of the gas conveying equipment, the kiln feed rate, and the CO concentration data; wherein, the gas conveying equipment is a Roots blower.

[0062] Step 2, calculate the weighting coefficients respectively according to the collected data: 2.1 Calculate the pressure weighting coefficient, 2.2 Calculate the feed rate weighting coefficient, 2.3 Calculate the hypoxia weighting coefficient;

[0063] Taking the measured actual pressure as the reference quantity of the pulverized coal amount, calculate the real-time slope of the pressure, and at the same time calculate the slope of the feedback quantity according to the feedback quantity of the pulverized coal scale, and divide the two slopes to obtain the pressure weighting coefficient of the given amount of pulverized coal.

[0064] Sample the raw material feed rate data, and respectively determine the feed rate weighting coefficients for increasing the feed rate and decreasing the feed rate according to the relative level of the current precalciner temperature and the process target value.

[0065] Configure a gas analyzer at the C1 outlet of the precalciner to realize real-time collection of the CO concentration at the C1 outlet. Taking the collected CO concentration and oxygen concentration as key reference factors, record the historical trend of CO for a period of time. Screen the historical data, and judge the screened data with the CO warning value to obtain the hypoxia weighting coefficient.

[0066] As Figure 2 shown, the steps for calculating the pressure weighting coefficient are:

[0067] Step 2.1.1, store the real-time collected pressure value and the pulverized coal feedback value in the form of an array;

[0068] Step 2.1.2, perform filtering processing on the stored data. Let the collected pressure data sequence be P 1, P 2, P 3,..., P n , using the method of mean filtering, the filtered pressure value P filtered is:

[0069]

[0070] where n is the number of data points participating in the filtering; in this way, the noise interference in the pressure data is effectively reduced, and the reliability of the data is improved;

[0071] Step 2.1.3, calculate the real-time slope of the outlet pressure of the gas conveying equipment and the real-time slope of the pulverized coal feedback quantity respectively; let the measured outlet pressure values be p1 and p2 respectively within a time interval [t1, t2], then the real-time slope of the pressure ; During the same time period [t1, t2], obtain the tail coal quantity data fed back by the tail coal scale. Let the feedback quantities of the tail coal scale be w1 and w2 respectively. Then the slope of the feedback quantity of the tail coal scale ; The slope of the feedback quantity of the tail coal scale reflects the change in the tail coal flow rate measured by the tail coal scale.

[0072] Step 2.1.4: Divide the real-time slope of the pressure by the slope of the feedback quantity of the tail coal scale to determine whether there is a good corresponding relationship between the real-time slope of the pressure and the real-time slope of the feedback quantity of the tail coal. If the value obtained by dividing the real-time slope of the feedback quantity of the tail coal by the real-time slope of the fan pressure is less than 0.6, it is considered that there is a good corresponding relationship between the current real-time slope of the pressure and the real-time slope of the feedback quantity of the tail coal, that is, the pressure weighting coefficient of the tail coal feed quantity is obtained as ; Otherwise, this data will be discarded. This coefficient is used to adjust the feedback quantity of the tail coal scale. By monitoring the outlet pressure value of the tail coal Roots blower, the working parameters of the tail coal rotor scale are adjusted in real time to stabilize the pressure of the tail coal rotor scale. When the pressure fluctuates within the preset range, it is judged that the coal feeding is stable; if the pressure fluctuation exceeds the range, it is judged that the tail coal coal feeding is abnormal. Through this coefficient, it is judged whether the current coal feeding is too much or too little, and the coal feeding quantity in the next cycle is modified to ensure the stability of the tail coal coal feeding.

[0073] As Figure 3 shown, the calculation steps of the feeding quantity weighting coefficient are as follows:

[0074] Step 2.2.1: Real-time collect the kiln feeding quantity data and store it in the form of an array;

[0075] Step 2.2.2: Detect the change in the feeding quantity. Let the change in the feeding quantity be T. The calculation method of the change in the feeding quantity T is the real-time value of the feeding quantity minus the last value in the collected array, that is, the real-time value of the feeding quantity in the previous collection cycle. If T is not 0, it is considered that the feeding quantity has changed;

[0076] Step 2.2.3: Different processing logics are adopted for positive and negative T values. Let the real-time temperature of the decomposition furnace be D, the temperature set value be W, the adjustment quantity of tail coal used be Q, and the proportionality coefficient be k. When T > 0:

[0077] When the real-time temperature value D > the temperature set value W + 3, the adjustment quantity of tail coal used ;

[0078] When W - 3 < D < W + 3, the adjustment quantity of tail coal used ;

[0079] When the real-time temperature value D < the temperature set value W - 3, the adjustment quantity of tail coal used ;

[0080] When T < 0:

[0081] When the real-time temperature value D > the temperature set value W + 3, the adjustment amount of the tail coal coal consumption ;

[0082] When W - 3 < D < W + 3, the adjustment amount of the tail coal coal consumption ;

[0083] When the real-time temperature value D < the temperature set value W - 3, the adjustment amount of the tail coal coal consumption 。

[0084] The proportionality coefficient is adjusted and optimized according to the actual production situation. The optimal value is determined through a large number of experiments and data analysis, and can be adjusted at any time according to the changing situation.

[0085] The calculation steps of the oxygen-deficiency weighting coefficient are as follows:

[0086] Step 2.3.1: Let the CO content value at the current moment be C t , and the CO content value at the previous moment be C t-1 , and the time interval be t;

[0087] Calculate the CO content change rate: , if the change rate exceeds the preset change rate threshold, it is considered that the CO data is abnormal and further judgment needs to be combined with other parameters;

[0088] Step 2.3.2: Calculate the deviation between the current CO content value C t and the historical average CO content value C avg : ;

[0089] If the deviation D exceeds the preset deviation threshold D 设 , the current data is discarded and the cause is further investigated to ensure the effectiveness and reliability of the CO data;

[0090] Step 2.3.3: Let the oxygen-deficiency weighting coefficient be F, and let the threshold value of the CO content be Z MAX , if R > 0 and C t > Z MAX , then F = 0, and in other cases F = 1;

[0091] Step 3: Perform weighted calculation of the tail coal feeding quantity through the calculated weighting coefficient;

[0092] The steps of weighted calculation of the tail coal feeding quantity are as follows:

[0093] Let the tail coal feeding quantity be M, the PID calculation result of the tail coal be U, and the calculation formula of the tail coal feeding quantity is as follows:

[0094]

[0095] Among them, F is the hypoxia weighting coefficient, α is the pressure weighting coefficient, and Q is the adjustment amount of the tail coal usage.

[0096] Step 4: Output the given amount of tail coal to control the temperature of the decomposition furnace.

[0097] Transmit the given amount of tail coal M calculated in Step 3 to the DCS via the OPC interface with the aid of the control system, so as to adjust the given amount of tail coal and further control the temperature of the decomposition furnace.

[0098] Calculate the base value of the given amount of tail coal using the PID algorithm as the input value of the control, and perform multiplication and accumulation calculations with the pressure weighting coefficient, the feeding amount weighting coefficient, and the hypoxia weighting coefficient to obtain the final control output value.

[0099] This control method can achieve the control of improving the temperature stability of the decomposition furnace. As shown in the appendix Figure 4 The figure shows a curve comparison diagram of the control effect of using this method to control the temperature of the decomposition furnace and the effect of manual control of the temperature of the decomposition furnace. It can be clearly seen that the stability of the temperature of the decomposition furnace has been improved. The basis for calculating the smoothness rate in Table 1 below is the variance comparison of different control methods.

[0100] Table 1: Comparison of the temperature of the decomposition furnace in manual and automatic states:

[0101]

[0102] From the maximum and minimum values in Table 1, it can be seen that the temperature fluctuation range of automatic control is slightly narrower, and the variance of automatic control is significantly smaller, indicating that the temperature is more stable under automatic control. The amplitude of fluctuation reduction: Compared with manual control, the amplitude of fluctuation reduction of automatic control reaches 62.71%. Therefore, in the control of the temperature of the decomposition furnace, the automatic control method of this application is significantly superior to manual control in terms of stability.

[0103] The present invention is implemented based on an intelligent control software platform, which can realize the functions of DCS data acquisition, storage, analysis, calculation, and writing back. This platform can collect DCS data such as the outlet pressure value of the tail coal Roots blower and the feedback amount of the tail coal scale in real time and store them. By analyzing and calculating the collected data, using the above-mentioned method for determining the given amount of tail coal, accurately calculate the given amount of tail coal, then predict the temperature change through the change of the feeding amount, increase or decrease the coal usage amount proportionally, and finally combine the PID control technology to calculate the optimal coal usage amount. At the same time, the platform can also write back the calculated given amount of tail coal to the DCS system to achieve precise control of the given amount of tail coal.

[0104] The present invention compensates for the difference between the coal feeding pressure and the actual tail coal feeding amount in the actual production process by calculating the weighted coefficient of the tail coal feeding amount. A high-precision pressure gauge is installed at the outlet of the tail coal Roots blower, and the pressure data is connected to the DCS system for real-time measurement of the outlet pressure value of the Roots blower.

[0105] The control software connects to the DCS system through the OPC communication protocol, reads the pressure gauge to continuously monitor the outlet pressure value of the tail coal Roots blower, and transmits the pressure data to the control system. The pressure data is subjected to mean filtering.

[0106] The present invention adjusts the tail coal usage in combination with the change in the rotary kiln feeding amount. When the change in the rotary kiln feeding amount reflects the load change in the production process, it has an important impact on the tail coal usage amount. Calculate the change in the feeding amount and correlate the change in the feeding amount with the change in the tail coal. According to the change in the rotary kiln feeding amount, for every certain change in the feeding amount, increase or decrease the tail coal usage amount according to a certain proportion.

[0107] The present invention determines the combustion state by monitoring the CO content in the kiln to better solve the problem that the temperature of the decomposition furnace cannot reach the preset target value due to lack of oxygen. By reading the CO content in the kiln, filtering the CO data, comparing with the historical CO content, determining the combustion state of the pulverized coal in the kiln, and controlling the tail coal usage amount.

[0108] Install a highly sensitive CO sensor at a suitable position in the kiln to continuously monitor the CO content in the kiln. Perform East China average filtering on the CO data to obtain the real CO data, determine the combustion state and adjust the coal usage amount.

[0109] When analyzing and judging the CO data, its effectiveness needs to be considered. First, check whether the data of the CO sensor is normal, including the accuracy, stability and response time of the sensor, etc. If the sensor fails or its performance deteriorates, it should be repaired or replaced in time.

[0110] A new type of dry cement kiln decomposition furnace temperature control system, which applies the above method, includes:

[0111] The measurement element part, including a pressure gauge, a rotary kiln feeding amount feedback, and a CO concentration meter;

[0112] The data acquisition module is used to acquire pressure data, rotary kiln feeding amount feedback data, and CO concentration data;

[0113] The filtering module is connected to the data acquisition module to perform filtering processing on the acquired data;

[0114] The parameter calculation module is connected to the filtering module to calculate relevant parameters according to the filtered data;

[0115] The control output module is connected to the parameter calculation module, and outputs a control signal according to the calculated parameters to achieve the control of the precalciner temperature.

[0116] The data acquisition module collects the relevant data required by the system from the on-site DCS device through the OPC interface and stores it in the form of an array; the control output module is connected to the DCS system through the OPC interface and transmits the control signal to the DCS system.

[0117] In this application, the measurement element part includes a Roots blower pressure gauge, a kiln feed rate feedback, and a CO concentration meter. Among them, the Roots blower pressure gauge can be any form of pressure gauge that can measure the outlet pressure of the Roots blower. The kiln feed rate feedback is the feedback signal of the feed rotor scale device. The feed rotor scale is a general device in the new dry process cement production process. The CO concentration meter is a measurement element in the gas analyzer and can be selected according to the actual production situation.

[0118] The function of the data acquisition module is to collect data. The data acquisition module collects the relevant data required by this system from the on-site DCS device through the OPC interface and stores it in the form of an array in the program, providing the original data for the filtering module.

[0119] The function of the filtering module is to process the raw data collected by the data acquisition module. The filtering module starts to process the data after the source data group of the data acquisition module reaches the specified length. The processing steps are to perform mean filtering first and then low-pass filtering, removing the spikes and bad values in the data as much as possible while ensuring that the data is not distorted. The processed data is stored in a new array as the original array of the parameter calculation module.

[0120] The function of the parameter calculation module is to calculate the control output parameters according to the data processed by the filtering module. In this module, the data in the filtered array is selected and weighted with the pressure weighting coefficient, the feed rate weighting coefficient, and the oxygen deficiency weighting coefficient to calculate the given amount of tail coal. Using this method to calculate the tail coal amount comprehensively considers multiple influencing factors of the precalciner temperature, making the precalciner temperature more stable.

[0121] The control output module reads the given amount of tail coal calculated by the parameter calculation module and outputs it to the DCS system through the OPC interface to achieve control.

[0122] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification are only the preferred examples of the present invention and are not used to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A novel dry cement kiln decomposition furnace temperature control method, characterized in that: The steps include: Step 1: Collect the pressure of the gas delivery equipment, the kiln feed amount, and the CO concentration data; Step 2, calculate the weighted coefficients according to the collected data: 2.1 calculate the pressure weighted coefficient, 2.2 calculate the feed amount weighted coefficient, 2.3 calculate the hypoxia weighted coefficient; The pressure weighted coefficient calculation steps are: Step 2.1.1, storing the real-time collected pressure value and tail coal feedback value in the form of an array; Step 2.1.2: Filter the stored data. Suppose the collected pressure data sequence is P 1, P 2, P 3, ..., P n , using the mean filtering method, the pressure value P after filtering filtered for: ； Where n is the number of data points involved in filtering; Step 2.1.3, calculate the real-time slope of the outlet pressure of the gas transmission equipment and the real-time slope of the tail coal feedback volume respectively; suppose the outlet pressure values ​​measured within a time interval [t1, t2] are p1 and p2 respectively, then the real-time slope of pressure is ; In the same time period [t1, t2], obtain the tail coal quantity data fed back by the tail coal scale. Assume that the feedback quantities of the tail coal scale are w1 and w2 respectively. Then the slope of the feedback quantity of the tail coal scale is ; Step 2.1.4, divide the real-time slope of pressure by the slope of the feedback amount of tail coal scale, and judge whether the real-time slope of pressure and the real-time slope of the feedback amount of tail coal have a good corresponding relationship; If the value of the real-time slope of tail coal feedback divided by the real-time slope of fan pressure is less than 0.6, it is considered that the real-time slope of current pressure has a good correspondence with the real-time slope of tail coal feedback, that is, the weighted coefficient of tail coal given amount pressure is obtained as ; Otherwise, the data will be discarded; Step 3, performing weighted calculation of a given amount of tail coal using the calculated weighted coefficient; Step 4: Output a given amount of tail coal to control the temperature of the decomposition furnace.

2. A novel dry cement kiln decomposition furnace temperature control method according to claim 1, characterized in that: The calculation steps of the feed amount weighted coefficient are: Step 2.2.1, collect kiln feeding amount data in real time and store it in array form; Step 2.2.2, detect the change of feeding amount, set the change of feeding amount as T, the calculation method of the change of feeding amount T is the real-time value of feeding amount minus the last value in the collection array, that is, the real-time value of feeding amount in the last collection cycle. If T is not 0, it is regarded as the feeding amount has changed; Step 2.2.3: Different processing logic is used for positive and negative T values. Assume that the real-time temperature of the decomposition furnace is D, the temperature setting value is W, the adjustment amount of tail coal is Q, the proportional coefficient is k, and when T>0: When the temperature real-time value D> temperature setting value W+3, the tail coal adjustment amount ; When W - 3 < D < W + 3, the adjustment amount of tail coal for coal ; When the real-time temperature value D < the temperature setting value W-3, the tail coal adjustment amount ; When T<0: When the temperature real-time value D> temperature setting value W+3, the tail coal adjustment amount ; When W - 3 < D < W + 3, the adjustment amount of tail coal used for coal ; When the real-time temperature value D < the temperature setting value W-3, the tail coal adjustment amount .

3. A novel dry cement kiln decomposition furnace temperature control method according to claim 2, characterized in that: The calculation steps of the hypoxia weighted coefficient are: Step 2.3.1: Assume the current CO content value is C t , the CO content value at the previous moment is C t-1 , the time interval is t; Calculate the CO content change rate: ,If the change rate exceeds the preset change rate threshold, it is considered that the CO data is abnormal and needs to be further judged in combination with other parameters; Step 2.3.2: Calculate the current CO content value C t Compared with the historical average CO content value C avg Deviation: ; If the deviation D exceeds the preset deviation threshold D 设 , the current data is discarded and the cause is further investigated to ensure the validity and reliability of CO data; Step 2.3.3: Set the hypoxia weighting coefficient to F and the CO content threshold to Z MAX , if R>0 and C t >Z MAX , then F=0, otherwise F=1.

4. A novel dry cement kiln decomposition furnace temperature control method according to claim 3, characterized in that: The weighted calculation steps of the tail coal given amount are as follows: Assume that the tail coal given amount is M, the tail coal PID calculation result is U, and the calculation formula of the tail coal given amount is as follows: ； Among them, F is the oxygen deficiency weighting coefficient, α is the pressure weighting coefficient, and Q is the coal adjustment amount for tail coal.

5. A novel dry cement kiln decomposition furnace temperature control method according to claim 4, characterized in that: The calculated tail coal set amount M is transmitted to the DCS via the OPC interface with the help of the control system, so as to adjust the tail coal set amount and further control the decomposition furnace temperature.

6. A novel dry cement kiln decomposition furnace temperature control system, applied to the method described in any one of claims 1 to 5, characterized in that: include: Measuring components, including pressure gauge, kiln feed feedback, and CO concentration meter; Data acquisition module, used to collect pressure data, kiln feed feedback data and CO concentration data; A filtering module, connected to the data acquisition module, performs filtering processing on the collected data; A parameter calculation module, connected to the filtering module, calculates relevant parameters according to the filtered data; The control output module is connected to the parameter calculation module and outputs a control signal according to the calculated parameters to realize the control of the decomposition furnace temperature.

7. A novel dry cement kiln decomposition furnace temperature control system according to claim 6, characterized in that: The data acquisition module collects the required relevant data from the on-site DCS equipment through the OPC interface and stores it in the form of an array; The control output module is connected to the DCS system via the OPC interface to transmit the control signal to the DCS system.

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