Novel dry cement kiln decomposing furnace temperature control method and system

Abstract

The invention discloses a novel dry cement kiln decomposing furnace temperature control method and system, and belongs to the technical field of cement production control. The novel dry-type cement kiln decomposing furnace temperature control method comprises the following steps: collecting pressure, kiln feeding amount and CO concentration data of gas conveying equipment; respectively calculating weighting coefficients according to the collected data: calculating a pressure weighting coefficient, calculating a feeding amount weighting coefficient and calculating an oxygen deficit weighting coefficient; carrying out weighting calculation on the given quantity of the tailings through the weighting coefficient obtained through calculation; and outputting the given quantity of the tailings to control the temperature of the decomposing furnace. By calculating the pressure weighting coefficient of the tailing given quantity, the tailing given quantity is determined more accurately, the stability and the product quality of the production process are improved, the change trend of the tailing flow can be reflected in real time, an operator can adjust the tailing given quantity in time, the production efficiency is improved, and the production cost is reduced. The situation that tailings are excessive or insufficient can be avoided, and energy consumption is reduced.

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 and military projects. The new dry process cement production technology is based on suspension preheating and pre-decomposition technology. Taking the new dry process cement production line with a daily output of 5000t / d as an example, the process flow mainly includes multiple units such as pre-decomposition system, clinker burning system, and cement grinding system. The ground raw materials are mixed and homogenized in a certain proportion in the homogenization bin, and transported to the pre-decomposition system by a bucket elevator. The raw materials and clean coal powder are transported to the decomposition furnace in a certain proportion for flame combustion. The raw materials absorb heat and decompose. The decomposed raw materials are sent to the rotary kiln for further calcination. In order to improve the decomposition rate of pre-decomposition and stabilize the thermal system of the rotary kiln, the tail coal amount of the decomposition furnace needs to be adjusted in a timely, fast and accurate manner, and the temperature of the decomposition furnace cannot fluctuate greatly. If the injection amount of tail coal is adjusted frequently and quickly in order to stabilize the temperature of the decomposition furnace, the balance between wind, coal and material in the decomposition furnace may be disrupted, resulting in insufficient oxygen inside the decomposition furnace, low temperature of the decomposition furnace, unqualified clinker quality, fuel waste and increased costs; if the injection amount of tail coal is not adjusted to stabilize it, the temperature of the decomposition furnace cannot be balanced with the wind and material in time, resulting in excessively high f-cao content, affecting the decomposition efficiency of the decomposition furnace.

[0003] In view of this, we propose a new 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 technology: the decomposition furnace temperature fluctuates greatly during the production process of the new dry cement process, and the wind, coal and material are not matched.

[0005] To achieve the above object, the present invention provides the following technical solutions: A novel dry cement kiln decomposition furnace temperature control method comprises the following steps: 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; 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.

[0006] Preferably, 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 pressure slope by the slope of the tail coal scale feedback amount, and determine whether the real-time pressure slope and the real-time slope of the tail coal feedback amount have a good corresponding relationship; if the value of the real-time slope of the tail coal feedback amount divided by the real-time slope of the fan pressure is less than 0.6, it is considered that the current real-time pressure slope and the real-time slope of the tail coal feedback amount have a good corresponding relationship, that is, the weighted coefficient of the tail coal given amount pressure is obtained as Otherwise, the data will be discarded.

[0007] Preferably, 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 real-time temperature value D> the temperature setting value W+3, the tail coal adjustment amount Q=k*T*0.8; When W - 3 < D < W + 3, the adjustment quantity Q of tail coal used for coal is Q = k * T; When the real - time temperature value D < the set temperature value W - 3, the adjustment quantity Q of tail coal used for coal is Q = k * T * 1.2; When T < 0: When the real - time temperature value D > the set temperature value W + 3, the adjustment quantity Q of tail coal used for coal is Q = k * T * 1.2; When W - 3 < D < W + 3, the adjustment quantity Q of tail coal used for coal is Q = k * T; When the real - time temperature value D < the set temperature value W - 3, the adjustment quantity Q of tail coal used for coal is Q = k * T * 0.8.

[0008] Preferably, the calculation steps of the anoxic weighting coefficient are as follows: 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; 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; Step 2.3.2: Calculate the deviation between the current CO content value and the historical average CO content value: ; 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; Step 2.3.3: Let the anoxic weighting coefficient be F, and let the threshold Z of the CO content MAX , if R > 0 and C t > Z MAX , then F = 0, and in other cases F = 1; Preferably, the weighted calculation steps of the tail coal feeding quantity are as follows: 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: ; Among them, F is the anoxic weighting coefficient, α is the pressure weighting coefficient, and Q is the adjustment quantity of tail coal used for coal.

[0009] Preferably, the calculated tail coal feeding 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 feeding quantity and further control the decomposition furnace temperature.

[0010] A new - type dry - process cement kiln decomposition furnace temperature control system, which is applied to the above - mentioned method, includes: The measuring element part, including a pressure gauge, a feedback of the kiln feeding quantity, and a CO concentration meter; Data acquisition module, used to collect pressure data, kiln feed feedback data and CO concentration data; A filtering module is connected to the data acquisition module and performs filtering processing on the collected data; A parameter calculation module is connected to the filtering module and 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.

[0011] Preferably, 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 through the OPC interface and transmits the control signal to the DCS system.

[0012] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention calculates the tail coal set amount pressure weighting coefficient by combining the Roots blower outlet pressure value and the tail coal scale feedback, thereby more accurately determining the tail coal set amount, improving the stability of the production process and product quality. The real-time pressure slope can reflect the change trend of the tail coal flow in real time, so that the operator can adjust the tail coal set amount in time and improve production efficiency.

[0013] (2) The present invention can accurately determine the tail coal set amount to avoid the occurrence of excessive or insufficient tail coal, thereby reducing energy consumption and saving production costs. By accurately controlling the tail coal set amount, the wear and failure of the equipment can be reduced, and the reliability and service life of the equipment can be improved.

[0014] (3) The present invention adopts a combination of multiple control methods to achieve precise control of the temperature of the decomposition furnace, improve product quality and production efficiency. By monitoring the CO content in the kiln, the amount of tail coal used is adjusted in time, the combustion state is optimized, and pollutant emissions are reduced. By comprehensively considering multiple factors, precise control of the given amount of tail coal and the temperature of the decomposition furnace is achieved, which improves the stability and reliability of the system.

[0015] (4) The present invention is based on an intelligent control software platform to achieve efficient collection, storage, analysis, calculation and write-back of DCS data, thereby improving the automation level and accuracy of tail coal set amount determination and decomposition furnace temperature control. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a flow chart of the method of the present invention; Figure 2 It is a schematic diagram of the flow chart of the calculation of the weighted coefficient of the given amount of tail coal pressure in the present invention; Figure 3It is a schematic diagram of the calculation process of the weighted coefficient of the feed amount in the present invention; Figure 4 This is a comparison chart of the stability of the temperature control effect of the decomposition furnace of the present invention compared with that of manual control; Figure 5 It is a structural block diagram of the system of the present invention. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0018] Example: See also Figure 1-5 A novel dry cement kiln decomposition furnace temperature control method comprises the following steps: Step 1: Collect the pressure, kiln feed rate, and CO concentration data of the gas delivery equipment; wherein the gas delivery equipment is a Roots blower.

[0019] 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 measured actual pressure is used as the reference of the tail coal amount, and the real-time slope of the pressure is calculated. At the same time, the slope of the feedback amount is calculated according to the feedback amount of the tail coal scale. The weighted coefficient of the given amount of tail coal pressure is obtained by dividing the two slopes.

[0020] The raw meal feed rate data is sampled, and the feed rate weighting coefficients for increasing and decreasing the feed rate are determined according to the relative high and low of the current decomposition furnace temperature and the process target value.

[0021] Configure the gas analyzer at the C1 outlet of the decomposition furnace to collect the CO concentration at the C1 outlet in real time. Use the collected CO concentration and oxygen concentration as key reference factors to record the historical trend of CO over a period of time. Filter the historical data, and judge the filtered data with the CO warning value to obtain the hypoxia weighting coefficient.

[0022] like Figure 2 As shown in Figure 2, the calculation steps of the pressure weighting coefficient 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 filteredis as follows: ; where n is the number of data points involved in filtering; in this way, the noise interference in the pressure data is effectively reduced, and the reliability of the data is improved; 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 amount respectively; assume that the measured outlet pressure values within a 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 amount data fed back by the tail coal scale. Assume that the tail coal scale feedback amounts are w1 and w2 respectively, then the slope of the tail coal scale feedback amount ; the slope of the tail coal scale feedback amount reflects the change of the tail coal flow rate measured by the tail coal scale.

[0023] Step 2.1.4: Divide the real-time slope of the pressure by the slope of the tail coal scale feedback amount to judge 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 amount; if the value of the real-time slope of the tail coal feedback amount 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 amount, that is, the pressure weighting coefficient of the tail coal feeding amount is obtained as ; otherwise, this data will be discarded. This coefficient is used to adjust the tail coal scale feedback amount. 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 fluctuation is 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 amount in the next cycle is modified to ensure the stability of the tail coal coal feeding.

[0024] As Figure 3 shown, the calculation steps of the feeding amount weighting coefficient are as follows: Step 2.2.1: Collect the kiln feeding amount data in real time and store it in the form of an array; Step 2.2.2: Detect the change of the feeding amount. Assume that the change amount of the feeding amount is T. The calculation method of the change amount T of the feeding amount is the real-time value of the feeding amount minus the last value in the collected array, that is, the real-time value of the feeding amount in the previous collection cycle. If T is not 0, it is regarded that the feeding amount has changed; Step 2.2.3: Adopt different processing logics for positive and negative T values. Assume that the real-time temperature of the decomposition furnace is D, the temperature set value is W, the adjustment amount of the tail coal used coal is Q, and the proportionality coefficient is k. When T>0: When the real-time temperature value D>the temperature set value W + 3, the adjustment amount of the tail coal used coal Q = k * T * 0.8; When W - 3 < D < W + 3, the adjustment amount of the tail coal used coal Q = k * T; When the real-time temperature value D < the temperature set value W - 3, the adjustment amount Q of the tail coal used = k * T * 1.2; When T < 0: When the real-time temperature value D > the temperature set value W + 3, the adjustment amount Q of the tail coal used = k * T * 1.2; When W - 3 < D < W + 3, the adjustment amount Q of the tail coal used = k * T; When the real-time temperature value D < the temperature set value W - 3, the adjustment amount Q of the tail coal used = k * T * 0.8.

[0025] 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 changes in the situation.

[0026] The calculation steps of the oxygen-deficiency weighting coefficient are as follows: 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; 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; Step 2.3.2: Calculate the deviation between the current CO content value C t and the historical average CO content value C avg : ; 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; Step 2.3.3: Let the oxygen-deficiency weighting coefficient be F, and let the threshold Z of the CO content MAX . If R > 0 and C t > Z MAX , then F = 0, and in other cases F = 1; Step 3: Perform weighted calculation of the tail coal feeding amount through the calculated weighting coefficient; The steps of weighted calculation of the tail coal feeding amount are as follows: Let the tail coal feeding amount be M, the PID calculation result of the tail coal be U, and the calculation formula of the tail coal feeding amount is as follows: ; Among them, F is the oxygen-deficiency weighting coefficient, α is the pressure weighting coefficient, and Q is the adjustment amount of the tail coal used.

[0027] Step 4: Output the tail coal feeding amount to realize the control of the decomposition furnace temperature.

[0028] The tail coal set amount M calculated in step 3 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.

[0029] The basic value of the given amount of tail coal is calculated by PID algorithm as the input value of control, which is multiplied and accumulated with the pressure weighting coefficient, feed amount weighting coefficient and oxygen deficiency weighting coefficient to obtain the final control output value.

[0030] This control method can improve the temperature stability of the decomposition furnace. Figure 4 As shown, the figure is a curve comparison of the control effect of using this method to control the decomposition furnace temperature and the effect of manually controlling the decomposition furnace temperature. It can be clearly seen that the stability of the decomposition furnace temperature has been improved. The calculation basis of the stability rate in Table 1 is the variance comparison of different control methods.

[0031] Table 1: Comparison of decomposition furnace temperature in manual and automatic states: ; 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. Fluctuation reduction: The fluctuation reduction of automatic control is 62.71% compared with manual control. Therefore, in terms of decomposition furnace temperature control, the automatic control method of this application is significantly better than manual control in terms of stability.

[0032] The present invention is based on an intelligent control software platform, and the platform can realize the functions of collecting, storing, analyzing, calculating and writing back DCS data. The platform can collect and store 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. By analyzing and calculating the collected data, the above-mentioned tail coal set amount determination method is used to accurately calculate the tail coal set amount, and then the temperature change is predicted by the change of the feeding amount, and the coal consumption is increased or decreased in proportion. Finally, the PID control technology is combined to calculate the optimal coal consumption. At the same time, the platform can also write the calculated tail coal set amount back to the DCS system to achieve accurate control of the tail coal set amount.

[0033] The present invention calculates the tail coal given amount pressure weighting coefficient to compensate for the difference between the coal pressure and the actual given amount of tail coal in the actual production process. 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.

[0034] 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 processed by mean filtering.

[0035] The present invention adjusts the tail coal consumption in combination with the change of rotary kiln feed amount. When the change of rotary kiln feed amount reflects the load change in the production process, it has an important influence on the tail coal consumption. The feed amount change is calculated and the feed amount change is associated with the tail coal change. According to the change of rotary kiln feed amount, the tail coal consumption is increased or decreased according to a certain proportion for each change of a certain feed amount.

[0036] The present invention determines the combustion state by monitoring the CO content in the kiln, so as 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, and comparing the historical CO content, the combustion state of the pulverized coal in the kiln is determined, and the amount of tail coal is controlled.

[0037] Install a highly sensitive CO sensor at a suitable location in the kiln to monitor the CO content in the kiln in real time. Perform East China average filtering on the CO data to obtain the real CO data, judge the combustion status and adjust the coal consumption.

[0038] When analyzing and judging CO data, its validity 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. If the sensor fails or its performance deteriorates, it should be repaired or replaced in time.

[0039] A novel dry cement kiln decomposition furnace temperature control system, applied to the above method, comprises: 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 is connected to the data acquisition module and performs filtering processing on the collected data; A parameter calculation module is connected to the filtering module and 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.

[0040] 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 through the OPC interface and transmits the control signal to the DCS system.

[0041] In the present application, the measuring element part includes a Roots blower pressure gauge, a kiln feed rate feedback, and a CO concentration meter. 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 feeding rotor scale device, the feeding rotor scale is a common device in the new dry cement production process, and the CO concentration meter is a measuring element in the gas analyzer, which can be selected according to the actual production situation.

[0042] The function of the data acquisition module is to collect data. The data acquisition module collects the relevant data required by the system from the on-site DCS equipment through the OPC interface and stores it in the form of an array within the program. It provides raw data for the filter module.

[0043] The function of the filter module is to process the raw data collected by the data acquisition module. The filter 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 first perform mean filtering and then low-pass filtering. The burrs and bad values ​​in the data are removed 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.

[0044] The function of the parameter calculation module is to calculate the control output parameters based on the data processed by the filter module. In this module, the data in the filter array is selected and weighted by the pressure weighting coefficient, the feed weighting coefficient, and the oxygen deficiency weighting coefficient to calculate the given amount of tail coal. The use of this method to calculate the amount of tail coal comprehensively considers multiple factors affecting the temperature of the decomposition furnace, making the temperature of the decomposition furnace more stable.

[0045] The control output module reads the tail coal set amount calculated by the parameter calculation module and outputs it to the DCS system through the OPC interface to achieve control.

[0046] 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 descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A novel dry cement kiln decomposition furnace temperature control method, characterized in that: It includes the following steps: Step 1, collect the pressure, kiln feed rate, and CO concentration data of the gas delivery equipment; 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 oxygen deficiency weighting coefficient; Step 3, perform weighted calculation of the tail coal feed quantity through the obtained weighting coefficients; Step 4, output the tail coal feed quantity to realize the control of the decomposition furnace temperature.

2. A novel dry cement kiln decomposition furnace temperature control method according to claim 1, characterized in that: The steps for calculating the pressure weighting coefficient are as follows: Step 2.1.1, store the real-time collected pressure value and the 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 participating in the 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 the pressure by the slope of the tail coal scale feedback quantity to judge whether there is a good corresponding relationship between the taken real-time slope of the pressure and the real-time slope of the tail coal feedback quantity; 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.

3. A novel dry cement kiln decomposition furnace temperature control method according to claim 1, characterized in that: The steps for calculating the feed rate weighting coefficient are as follows: Step 2.2.1, collect the kiln feed rate data in real time and store it in the form of an array; Step 2.2.2, detect the change in the feed rate. Let the change in the feed rate be T. The calculation method of the change in the feed rate T is the real-time value of the feed rate minus the last value in the collected array, that is, the real-time value of the feed rate in the previous collection period. If T is not 0, it is regarded as a change in the feed rate; 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 tail coal used be Q, and the proportional coefficient be k. When T>0: When the real-time temperature value D>the temperature set value W + 3, the adjustment amount of the tail coal used Q = k * T * 0.8; When W - 3 < D < W + 3, the adjustment amount of the tail coal used Q = k * T; When the real-time temperature value D < the temperature set value W - 3, the adjustment amount of the tail coal used Q = k * T * 1.2; When T<0: When the real-time temperature value D>the temperature set value W + 3, the adjustment amount of the tail coal used Q = k * T * 1.2; When W - 3 < D < W + 3, the adjustment amount of the tail coal used Q = k * T; When the real-time temperature value D < the temperature set value W - 3, the adjustment amount of the tail coal used Q = k * T * 0.

8.

4. A novel dry cement kiln decomposition furnace temperature control method according to claim 1, characterized in that: The steps for calculating the oxygen deficiency weighting coefficient are as follows: 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.

5. A novel dry cement kiln decomposition furnace temperature control method according to claim 1, characterized in that: The steps for weighted calculation of the tail coal feed quantity are as follows: Let the tail coal feed quantity be M, the tail coal PID calculation result be U, and the calculation formula of the tail coal feed quantity is as follows: ； Among them, F is the oxygen deficiency weighting coefficient, α is the pressure weighting coefficient, and Q is the adjustment amount of the tail coal used.

6. A novel dry cement kiln decomposition furnace temperature control method according to claim 5, characterized in that: Transmit the calculated tail coal feed quantity M to the DCS through the OPC interface with the help of the control system to adjust the tail coal feed quantity, and then control the decomposition furnace temperature.

7. A novel dry cement kiln decomposition furnace temperature control system, applied to the method described in any one of claims 1 to 6, characterized in that: It includes: The measurement element part, including a pressure gauge, a kiln feed rate feedback, and a CO concentration meter; The data acquisition module is used to collect pressure data, kiln feed rate feedback data, and CO concentration data; The filtering module is connected to the data acquisition module to perform filtering processing on the collected data; The parameter calculation module is connected to the filtering module to calculate relevant parameters according to the filtered data; The control output module is connected to the parameter calculation module to output a control signal according to the calculated parameters to realize the control of the decomposition furnace temperature.

8. A novel dry cement kiln decomposition furnace temperature control system according to claim 7, 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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