CN114959130A - Buggy intelligent control furnace temperature system - Google Patents
Buggy intelligent control furnace temperature system Download PDFInfo
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- CN114959130A CN114959130A CN202210442392.1A CN202210442392A CN114959130A CN 114959130 A CN114959130 A CN 114959130A CN 202210442392 A CN202210442392 A CN 202210442392A CN 114959130 A CN114959130 A CN 114959130A
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
- C21B5/006—Automatically controlling the process
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
- C21B5/001—Injecting additional fuel or reducing agents
- C21B5/003—Injection of pulverulent coal
Abstract
The invention relates to the technical field of coal injection of iron-making blast furnaces, in particular to a system for intelligently regulating and controlling furnace temperature of pulverized coal, which comprises a batch tracking module, a furnace burden monitoring module, a slag crust index module, a direct reduction degree module, a furnace heat index module, a blanking rate calculating module, a furnace temperature predicting module, a coal injection rate calculating module and a coal injection rate control module, and meanwhile, the system can set a query period to query data, can also query the data in a page-turning mode, realizes comparison monitoring of actual data and set data, and can early warn and correct an operator when process deviation is exceeded. The influence of various factors is comprehensively judged through a computer system, the reasonable furnace temperature is judged in advance, and the coal quantity is automatically adjusted.
Description
Technical Field
The invention relates to the technical field of coal injection of iron-making blast furnaces, in particular to a system for intelligently regulating and controlling furnace temperature of pulverized coal.
Background
The blast furnace temperature is an important economic index of the blast furnace, whether the furnace temperature is stable or not is the smooth running performance of the blast furnace, the fuel ratio is an important factor for determining the stability of the furnace temperature, and the actual fuel ratio changes along with the change of the feed rate and the furnace condition in the running process of the blast furnace, so that an operator is required to timely capture the change and maintain the actual fuel ratio within a reasonable range by increasing and reducing the coal injection speed. The work is very difficult for operators to operate, and the excellent and experienced blast furnace operator can select proper time to adjust the coal injection speed according to the furnace temperature base, the furnace temperature development trend, the material speed, the air flow and the coal gas utilization rate. However, the control level depends on the operating skill of the operator, and requires the accumulation of years of operating experience, so that it is very difficult for everyone who needs to do the control, especially for the technician who just contacts the actual operation of the blast furnace, a long learning and accumulation process is needed.
In the 90 s of the 20 th century, the "multi-fluid theory" was introduced, which divided the contents of the furnace into gas, solid, liquid and powder phases and was used to describe the structure of the lower zone reactions of the blast furnace. The mathematical model at the stage is basically developed by combining CFD-DEM, and the mathematical model is developed from a one-dimensional model to a two-dimensional model and a three-dimensional model. After the development of 20 years, some mathematical models with better application effects are fused into a blast furnace expert system. Blast furnace expert system No. 1, which is a digital-analog-expert combined system. The operation is characterized in that a mathematical model and an actual rule are combined, the operation data is acquired once every 2min and is calculated once every 10min, and an hour average value is taken. During short-term control, the operation data is used for judging the furnace condition. Under normal furnace conditions (about 80-85% of the time), the coal injection ratio, the air temperature, the humidity and the like are controlled by a furnace heat index TS digital model, and under abnormal furnace conditions (15-20% of the time), the control is implemented by an empirical rule. The expert knowledge base contains 1200 rules. The predicted hit rate of the silicon content [ Si ] of the molten iron and the temperature of the molten iron reaches 85 to 90 percent. In long-term control, the operational data is used to diagnose the furnace conditions, and then the production decision maker determines the guidelines for long-term operation and the control values of the relevant parameters. The blast furnace expert system No. 2 is developed on the basis of a control model system of a blast furnace, consists of a dynamic model and a static model, and aims to keep the heat balance of the lower part of the blast furnace and prevent the unstable and abnormal furnace conditions of the blast furnace. The method mainly comprises the following functions of charging monitoring (and ingredient calculation), analysis of gas distribution and gas utilization rate (CO/CO2), abnormal furnace condition identification (material collapse, material sliding, nodulation, suspended material and the like), molten iron temperature, [ Si ] and tapping control and the like, wherein an expert system knowledge base comprises two experience bases, 850 judgment rules are provided in total, one experience base is used for normal operation of the blast furnace, and the other experience base is used for restarting after faults, blowing operation after damping down and starting operation when abnormal changes of the tapping condition are diagnosed suddenly. The system operation diagnosis is divided into: judging the status of the blast furnace in short periods of 30s, 5min and 15 min; carrying out periodic diagnosis in 8h, and monitoring the periodic furnace condition trend; and (4) long-period diagnosis, namely evaluating the furnace condition and trend of the previous day and determining the operation policy of the current day. The No. 3 blast furnace expert system has partial closed loop function expert system, and the closed loop function is mainly used in coke ratio control, furnace entering alkalinity control and steam jetting amount control. The system consists of a process information management system, a process mathematical model, a furnace condition diagnosis and evaluation system and a furnace condition regulation and execution system. The earliest blast furnace mathematical model of a blast furnace expert system independently developed in China is a molten iron [ Si ] content forecasting model developed by Qinghua university and saddle steel in 1987, has a forecasting hit rate of 82 percent and is used for assisting blast furnace operators in judging the furnace temperature development trend. In the 90 s of the 20 th century, some enterprises and scientific research institutions cooperated to develop and apply some mathematical models. The blast furnace artificial intelligence expert system is identified by expert technology in 1997. Because the domestic general large-scale blast furnace can not reach the Bao steel blast furnace level in the aspects of technical equipment conditions and raw fuel conditions, the Bao steel expert system established on the basis is difficult to popularize and apply on the domestic general blast furnace. The blast furnace iron-making optimization expert system is a project approved by the national science and technology department of 1999, namely 'national science and technology achievement key promotion plan', and is promoted and applied to a plurality of blast furnaces of 350m3, 380m3 and 750m3 under the cooperation of enterprises of Hangzhou steel, Ji steel, Xinjin steel, Lai steel and the like. The system establishes a multi-objective optimization mathematical model by utilizing a dynamic programming theory aiming at the actual conditions of the domestic blast furnace, and finds the optimal range and the optimal combination of smelting parameters, thereby realizing the fault diagnosis of the furnace condition, the furnace temperature forecast and the automatic printing of the production report of the blast furnace, comprehensively deducing the furnace condition, improving the smooth stability of the blast furnace, and realizing the integration of control and management. The prior art can only achieve the predicted furnace temperature, can not predict how long the furnace can be advanced, can not adjust the predicted result, has too many blast furnace temperature influence factors, only selects the tuyere image and the blast furnace parameter data to influence the prediction precision, the tuyere image has ash in the tuyere lens or the blast furnace blocks the tuyere and operates, and the tuyere coal injection state and the coal injection state have influence on the predicted result.
Disclosure of Invention
The system for intelligently regulating and controlling the furnace temperature of the pulverized coal solves the problem of differential operation caused by the experience level of personnel, intelligentizes the operation data of the blast furnace operator, and provides a uniform operation standard for operators. The unified standard stabilizes the fuel ratio, quantifies the operating parameters, standardizes the operating behavior of the operator and reduces the misoperation to the maximum extent. The influence of various factors is comprehensively judged by a computer system, the reasonable furnace temperature is judged in advance, and the coal quantity is automatically adjusted.
In order to achieve the purpose, the invention adopts the following technical scheme: a pulverized coal intelligent furnace temperature regulating and controlling system comprises a batch tracking module, a furnace charge monitoring module, a slag crust index module, a direct reduction degree module, a furnace heat index module, a blanking rate calculating module, a furnace temperature predicting module, a coal injection rate calculating module and a coal injection rate control module;
the batch tracking module calculates the actual iron content and coke ratio of each batch according to the actual weight of a weighing funnel under the trough and the comprehensive grade of ores, and simultaneously calculates the accurate position of each batch in the height direction in the furnace after being loaded into the furnace in real time according to the information of a stockline and the batch number, and calculates the smelting period so as to accurately calculate the coal injection which is matched in the process of blanking a stock column and maintain the stability of the fuel ratio;
the furnace charge monitoring module is used for monitoring the changes of the granularity, the reaction intensity and the water content of each batch of furnace charges;
the slag crust index module monitors the change of the temperature point of the cooling wall, calculates the falling condition of the slag crust through the change of the point number, and conjectures the change of the tapping type and the change of the position of the reflow zone;
the direct reduction degree module calculates the direct reduction degree through a model and calculates the change of the melting loss reaction of the blast furnace;
the furnace heat index module calculates the heat index through the changes of the blast furnace air temperature, air pressure, air quantity, humidity, oxygen-rich quantity, coal injection quantity, theoretical combustion temperature in front of an air port and the working condition of a furnace hearth;
the blanking rate calculation module is used for acquiring the batch iron quantity T of each batch by the computer, detecting the time T for each batch to be loaded into the previous n batches, and calculating the current blanking rate Vc T n/T;
the furnace temperature prediction module is used for predicting the discharging temperature change trend through a furnace heat index TQ, a slag crust index NS, melting loss reaction carbon consumption SLC, the change of furnace top gas phi CO, a blanking speed VC and a temperature value LT of last molten iron;
the coal injection rate calculation module gives a fuel ratio control value RLB according to the furnace temperature predicted value result, and then calculates a coal injection rate M with a blast furnace charging coke ratio K and a blanking rate Vc;
the coal injection rate control module automatically adjusts the coal injection rate according to the calculated coal injection rate M, and simultaneously, an interface for converting manual intervention into manual control is arranged, so that the safety and reliability of the temperature control of the blast furnace are ensured.
Preferably, the system also comprises a storage and query module for key operating parameters of the blast furnace and furnace top charging data of the blast furnace, the storage time is one generation of furnace service, an operator can select any time point to query historical data, meanwhile, a query period can be set to query the data, a page turning mode can also be adopted to query the data, comparison monitoring of actual data and set data is realized, and process deviation is exceeded, and early warning and correction are carried out on operators in time.
Preferably, the system also comprises a high-precision ceramic coal powder regulating valve which is arranged at the rear end of the mixer of the coal injection main pipe conveying pipeline, so that the continuous monitoring of the coal powder flow is realized, the coal powder flow is output and fed back to the central control PLC through a real-time detection value of the coal powder flow, and meanwhile, the high-precision ceramic coal powder regulating valve is used for taking the role of regulating and controlling the coal powder injection amount.
Preferably, the blast furnace monitoring system further comprises a mobile phone App for monitoring key parameters of the blast furnace in real time, and the blast furnace air volume, air pressure, differential pressure, air permeability, material line, furnace temperature trend, fuel ratio trend and tapping information are remotely monitored in a trend line mode through the mobile phone App, so that blast furnace managers can conveniently master production information of the blast furnace in time, and each team is urged to operate strictly according to operation standards.
The invention has the beneficial effects that:
the system comprises a batch tracking module, a furnace charge monitoring module, a slag crust index module, a direct reduction degree module, a furnace heat index module, a blanking rate calculation module, a furnace temperature prediction module, a coal injection rate calculation module and a coal injection rate control module, and comprises a storage and query module for key operation parameters of the blast furnace and furnace top charging data of the blast furnace, wherein the storage and query module stores one generation of furnace service at a time, an operator can select any time point to query historical data, can set a query period to query the data, can also query the data in a page-turning mode, realizes comparison monitoring of actual data and set data, and can early warn and correct the operator when process deviation is exceeded. The high-precision ceramic pulverized coal regulating valve is arranged at the rear end of a mixer of a coal injection main pipe conveying pipeline, the continuous monitoring of pulverized coal flow is realized, the pulverized coal flow is output and fed back to the central control PLC through a real-time detection value of the pulverized coal flow, and meanwhile, the high-precision ceramic pulverized coal regulating valve is used for taking the role of regulating and controlling the pulverized coal injection amount. The mobile phone App is used for monitoring key parameters of the blast furnace in real time, and the air volume, the air pressure, the pressure difference, the air permeability, the material line, the furnace temperature trend, the fuel ratio trend and the tapping information of the blast furnace are remotely monitored in a trend line form by the mobile phone App, so that blast furnace managers can conveniently master the production information of the blast furnace in time, and each team and team are urged to operate strictly according to the operation standard. The method solves the problem of differentiated operation brought by the experience level of personnel, realizes intelligentization of operation data of the blast furnace captain, and provides a uniform operation standard for operators. The unified standard stabilizes the fuel ratio, quantifies the operating parameters, standardizes the operating behavior of the operator and reduces the misoperation to the maximum. The influence of various factors is comprehensively judged through a computer system, the reasonable furnace temperature is judged in advance, and the coal quantity is automatically adjusted.
Drawings
FIG. 1 is a flow chart of the system of the present invention.
FIG. 2 is a block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-2, a pulverized coal intelligent regulation and control furnace temperature system comprises a batch tracking module, a furnace charge monitoring module, a slag index module, a direct reduction degree module, a furnace thermal index module, a blanking rate calculation module, a furnace temperature prediction module, a coal injection rate calculation module and a coal injection rate control module;
the batch tracking module calculates the actual iron content and the coke ratio of each batch according to the actual weight of a weighing funnel under the trough and the comprehensive grade of ores, and simultaneously calculates the accurate position of each batch in the height direction in the furnace after being loaded into the furnace in real time according to the information of a stockline and the batch number, and calculates the smelting period so as to accurately calculate the coal injection which is matched in the process of blanking a stock column and maintain the stability of the fuel ratio;
the furnace charge monitoring module is used for monitoring the changes of the granularity, the reaction intensity and the water content of each batch of furnace charges;
the slag crust index module monitors the change of the temperature point of the cooling wall, calculates the falling condition of the slag crust through the change of the point number, and conjectures the change of the tapping type and the change of the position of the reflow zone;
the direct reduction degree module is used for calculating the direct reduction degree through the model and calculating the change of the melting loss reaction of the blast furnace;
the furnace heat index module calculates the heat index through the changes of the blast furnace air temperature, air pressure, air quantity, humidity, oxygen-rich quantity, coal injection quantity, theoretical combustion temperature in front of an air port and the working condition of a furnace hearth;
the blanking rate calculation module is used for acquiring the iron amount T of each batch by the computer, detecting the time T for each batch to be filled into the previous n batches and calculating the current blanking rate Vc (T x n/T);
the furnace temperature prediction module is used for predicting the discharging temperature change trend through a furnace heat index TQ, a slag crust index NS, melting loss reaction carbon consumption SLC, the change of furnace top gas phi CO, a blanking speed VC and a temperature value LT of last molten iron;
the coal injection rate calculation module gives a fuel ratio control value RLB according to the furnace temperature predicted value result, and then calculates a coal injection rate M with a blast furnace charging coke ratio K (containing a coke ratio) and a material rate Vc;
and the coal injection rate control module automatically adjusts the coal injection rate according to the calculated coal injection rate M, and simultaneously sets an interface for converting manual intervention into manual control, thereby ensuring the safety and reliability of the temperature control of the blast furnace.
The storage and query module for the key operating parameters of the blast furnace and the charging data of the top of the blast furnace stores the time for one generation of furnace service, an operator can select any time point to query historical data, can set a query period to query the data, can also query the data in a page turning mode, realizes comparison monitoring of actual data and set data, and exceeds process deviation to timely perform early warning and correction on operators. And (3) giving an hour coal injection amount suggestion according to the dynamic fuel ratio, the temperature trend of the molten iron and relevant main parameters of the blast furnace, and determining whether the blast furnace needs to be intervened or not according to the actual conditions.
The high-precision ceramic pulverized coal regulating valve is arranged at the rear end of a mixer of a coal injection main pipe conveying pipeline, the continuous monitoring of pulverized coal flow is realized, the pulverized coal flow is output and fed back to the central control PLC through a real-time detection value of the pulverized coal flow, and meanwhile, the high-precision ceramic pulverized coal regulating valve is used for taking the role of regulating and controlling the pulverized coal injection amount. Once the set value of the injection amount is given, the deviation value between the calculated actual flow detection value and the set value is controlled in a cascade mode through the coal powder regulating valve, the actual coal injection coal powder flow detection value directly participates in the action of the coal powder regulating valve, namely, the coal injection amount in an hour is directly controlled through the coal injection main pipe regulating valve after the hour coal injection amount is set. The whole control mode realizes full automation. The automatic control of the coal injection amount is realized by comparing the measured actual coal injection amount with the actually set coal injection amount and controlling the main coal injection amount regulating valve to regulate the coal injection amount in real time after PID regulation. Under the condition that the furnace conditions are basically normal, the blast furnace operator does not need to intervene in the coal injection amount of the blast furnace, only reliable data conditions are input into a computer, the computer decision system and the control system automatically adjust the coal injection amount according to the change of the furnace conditions, and the closed-loop control of the furnace temperature of the blast furnace is realized by dynamically adjusting and controlling a proper fuel ratio.
The mobile phone App is used for monitoring key parameters of the blast furnace in real time, and the blast furnace air volume, air pressure, pressure difference, air permeability, charge line, furnace temperature trend, fuel ratio trend and tapping information are remotely monitored in a trend line form by the mobile phone App, so that blast furnace managers can conveniently master blast furnace production information in time, and supervise and urge each team and team to operate strictly according to the operation standard, thereby further improving the level of blast furnace operation management.
The specific steps are as follows,
step S1, inputting a furnace temperature control interval, wherein an operator presets the molten iron [ Si ] + [ Ti ] into five control intervals in a computer, the [ Si ] + [ Ti ] < 0.2% is defined as "low", the 0.2% < [ Si ] + [ Ti ] ] < 0.3% is defined as "lower limit", the 0.3% < [ Si ] + [ Ti ] < 0.5% is defined as "proper", the 0.5% < [ Si ] + [ Ti ] < 0.6% is defined as "upper limit", and the > 0.6% is defined as "high", and the operator can modify the limit values of the five control intervals according to the actual furnace conditions of the blast furnace.
In step S2, the operator inputs the coke ratio, grade, and batch into the computer as required by the furnace conditions, and calculates the charge ratio RLB.
And step S3, the operator inputs the actual molten iron (Si) + [ Ti ] content value into the management operation computer manually or through network before tapping.
And step S4, predicting the furnace temperature value, comparing the predicted value of the [ Si ] + [ Ti ] content of the molten iron in the furnace with the detected value of the [ Si ] + [ Ti ] content of the molten iron in the previous furnace by the computer, defining the furnace temperature trend to be maintained within the difference value of +/-0.05%, defining the furnace temperature trend to be uplink when the difference value is greater than + 0.05%, and defining the furnace temperature trend to be downlink when the difference value is less than-0.05%.
In step S5, the computer monitors the coke ratio (including the coke-to-coke ratio) in the oven.
And step S6, obtaining a blanking speed detection value Vc, wherein the iron amount of each batch loaded into the blast furnace is T (unit: ton/batch), and the time T (unit: hour) for loading the previous n (4< n <8) batches into each batch is detected by using a computer, so that the current blanking speed Vc is T n/T (unit: ton/hour).
Step S7: and calculating a fuel ratio control value according to the furnace temperature control interval, the furnace temperature trend and the actual operation fuel ratio.
Step S8: and calculating a coal injection rate control value M according to the operation coke ratio K, the current blanking speed Vc and the fuel ratio control value RLB, wherein the formula is that M is (RLB-K) Vc (unit: ton/hour).
And step S9, the computer decision system and the control system automatically adjust the coal injection quantity according to the change of the furnace condition, thereby realizing the stability of the fuel ratio and the stability of the furnace temperature of the blast furnace.
And step S10, after monitoring of a batch of materials in the blast furnace is finished, judging whether raw materials are smelted, if so, continuing to monitor the next batch, and if not, ending smelting.
The invention takes a blast furnace process section as an object, develops research and development work around blast furnace big data application and intelligent iron making, and realizes the aims of intelligent regulation and control of furnace temperature, big data mining, intelligent optimization and the like of pulverized coal through intelligent industrial internet control application, wherein the targets comprise an industrial control computer and a management operation computer communicated with the industrial control computer, system software is installed on the management operation computer, and the system software comprises:
the [ Si ] + [ Ti ] content monitoring value input module: and receiving the monitoring value of the content of the molten iron [ Si ] + [ Ti ] recorded manually or transmitted by a network.
A furnace temperature prediction module: the furnace tapping temperature change trend is estimated through a furnace thermal index (TQ), a slag crust index (NS), melting loss reaction carbon consumption (SLC), changes of furnace top gas phi (CO), a blanking speed (VC), a temperature value (LT) of last molten iron and the like;
a furnace heat index module: calculating the heat index through the changes of blast furnace air temperature, air pressure, air quantity, humidity, oxygen-rich quantity, coal injection quantity, theoretical combustion temperature in front of an air port, working conditions of a furnace hearth and the like;
slag crust index module: monitoring the change of the temperature point of the cooling wall, calculating the falling condition of the slag crust through the change of the point number, and estimating the change of the tapping type and the change of the position of the reflow zone;
a direct reduction degree module: calculating the direct reduction degree through a model, and calculating the change of the melting loss reaction of the blast furnace;
a top gas phi (CO) monitoring module: monitoring the change of blast furnace gas components and chemical reaction through the change of blast furnace burden distribution (O/C ratio change or matrix);
a blanking speed calculation module: the computer obtains the iron amount T of each batch, detects the time T taken by each batch to load the previous n batches, and calculates the current blanking speed Vc-T n/T.
A fuel ratio control module: and the computer compares the predicted value of the content of the [ Si ] + [ Ti ] of the furnace time with the actual value of the content of the [ Si ] + [ Ti ] in the molten iron of the previous furnace time according to the furnace temperature control interval, the furnace temperature prediction trend and the actual operation fuel ratio, and calculates according to the furnace temperature control interval and the furnace temperature trend to obtain a fuel ratio control value RLB.
Coal injection speed calculation module: and calculating the coal injection speed M according to the fuel ratio control value RLB, the coke ratio detection value K and the blanking speed Vc.
S1-S10 inputs the control range of the furnace temperature, the fuel ratio of the furnace, the actual furnace temperature after the coal powder acts, the predicted furnace temperature value, the coke ratio of the furnace, the obtained blanking speed, the calculated fuel ratio control value, the calculated coal injection rate, and the computer decision system and the control system automatically adjust the coal injection amount and determine whether the coal exists or not according to the change of the furnace conditions.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (4)
1. The utility model provides a buggy intelligent control furnace temperature system which characterized in that: the system comprises a batch tracking module, a furnace burden monitoring module, a slag crust index module, a direct reduction degree module, a furnace heat index module, a blanking rate calculation module, a furnace temperature prediction module, a coal injection rate calculation module and a coal injection rate control module;
the batch tracking module calculates the actual iron content and coke ratio of each batch according to the actual weight of a weighing funnel under the trough and the comprehensive grade of ores, and simultaneously calculates the accurate position of each batch in the height direction in the furnace after being loaded into the furnace in real time according to the information of a stockline and the batch number, and calculates the smelting period so as to accurately calculate the coal injection which is matched in the process of blanking a stock column and maintain the stability of the fuel ratio;
the furnace charge monitoring module is used for monitoring the changes of the granularity, the reaction intensity and the water content of each batch of furnace charges;
the slag crust index module monitors the change of the temperature point of the cooling wall, calculates the falling condition of the slag crust through the change of the point number, and conjectures the change of the tapping type and the change of the position of the reflow zone;
the direct reduction degree module calculates the direct reduction degree through a model and calculates the change of the melting loss reaction of the blast furnace;
the furnace heat index module calculates the heat index through the changes of the blast furnace air temperature, air pressure, air quantity, humidity, oxygen-rich quantity, coal injection quantity, theoretical combustion temperature in front of an air port and the working condition of a furnace hearth;
the blanking rate calculation module is used for acquiring the batch iron quantity T of each batch by the computer, detecting the time T for each batch to be loaded into the previous n batches, and calculating the current blanking rate Vc T n/T;
the furnace temperature prediction module is used for predicting the discharging temperature change trend through a furnace heat index TQ, a slag crust index NS, melting loss reaction carbon consumption SLC, the change of furnace top gas phi CO, a blanking speed VC and a temperature value LT of last molten iron;
the coal injection rate calculation module gives a fuel ratio control value RLB according to the furnace temperature predicted value result, and then calculates a coal injection rate M with a blast furnace charging coke ratio K and a blanking rate Vc;
the coal injection rate control module automatically adjusts the coal injection rate according to the calculated coal injection rate M, and simultaneously, an interface for converting manual intervention into manual control is arranged, so that the safety and reliability of the temperature control of the blast furnace are ensured.
2. The pulverized coal intelligent furnace temperature control system according to claim 1, characterized in that: the system is characterized by further comprising a storage and query module for key operating parameters of the blast furnace and furnace top charging data of the blast furnace, the storage time is used for one generation of furnace service, an operator can select any time point to query historical data, meanwhile, a query cycle can be set to query the data, the data can also be queried in a page turning mode, comparison monitoring of actual data and set data is achieved, and process deviation is exceeded, and early warning and correction are timely performed on an operator.
3. The pulverized coal intelligent furnace temperature control system according to claim 2, characterized in that: the coal powder injection device also comprises a high-precision ceramic coal powder regulating valve which is arranged at the rear end of the mixer of the coal injection main pipe conveying pipeline, the continuous monitoring of the coal powder flow is realized, the coal powder flow is output and fed back to the central control PLC through a real-time detection value of the coal powder flow, and meanwhile, the high-precision ceramic coal powder regulating valve is used for taking the role of regulating and controlling the coal powder injection amount.
4. The pulverized coal intelligent furnace temperature control system according to claim 3, characterized in that: the blast furnace management system is characterized by further comprising a mobile phone App for monitoring key parameters of the blast furnace in real time, and the blast furnace air volume, air pressure, pressure difference, air permeability, charge line, furnace temperature trend, fuel ratio trend and tapping information are remotely monitored in a trend line mode through the mobile phone App, so that blast furnace managers can conveniently master blast furnace production information in time, and each team is urged to operate according to operation standards strictly.
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