CN113088590A - Intelligent anti-blocking device and method for large-scale blast furnace injection system based on spectrum analysis - Google Patents
Intelligent anti-blocking device and method for large-scale blast furnace injection system based on spectrum analysis Download PDFInfo
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- CN113088590A CN113088590A CN202110387287.8A CN202110387287A CN113088590A CN 113088590 A CN113088590 A CN 113088590A CN 202110387287 A CN202110387287 A CN 202110387287A CN 113088590 A CN113088590 A CN 113088590A
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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
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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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Abstract
The invention discloses an intelligent anti-blocking device and method for a large-scale blast furnace injection system based on spectral analysis, and relates to the large-scale blast furnace injection system and a centralized control method.
Description
Technical Field
The invention relates to the technical field of large-scale blast furnace injection systems and centralized control methods, in particular to an intelligent anti-blocking device and method for a large-scale blast furnace injection system based on frequency spectrum analysis.
Background
The blast furnace injects fuel (fuel injection into blast furnace) and gas, liquid or solid fuel into the blast furnace from the tuyere through special equipment, so as to replace a blast furnace intensified smelting technology of partial coke in the blast furnace burden.
It can improve the operation of blast furnace, raise pig iron output and reduce pig iron cost. Blast furnace continuous steel casting iron making uses metallurgical coke as fuel and reducing agent, and the injected fuel is converted into CO and H at high temperature in tuyere zone2It can replace part of coke burned by tuyere, and can generally replace 20-30%, and its height can be up to 50%. Injecting fuel has become the main measure of reducing coke ratio in modern blast furnaces. The injected fuel can also promote the blast furnace to adopt high air temperature and oxygen-enriched air blast, and the combination of the technologies becomes an important way for strengthening blast furnace smelting.
The injection system of the existing coal injection system mainly adopts a fixed control mode, the automation degree is low, the particle size of the discharged powder of the pulverized coal blanking machine cannot be automatically identified to perform dynamic injection, and the problems of low injection efficiency and easy blockage exist.
Disclosure of Invention
The invention aims to solve the problems in the background art and provides an intelligent anti-blocking device and method for a large-scale blast furnace injection system based on spectrum analysis.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
large-scale blast furnace jetting system intelligence prevents stifled device based on spectral analysis, including the coal conveying pipeline, coal conveying pipeline entrance installation unloading the control unit, the unloading the control unit is used for controlling the buggy volume of coal pulverizer input coal conveying pipeline entry, characterized by: the intelligent anti-blocking device also comprises a blowing flow rate control unit and a central processing unit, wherein the blowing flow rate control unit is used for controlling the air speed in the coal conveying pipeline, the direction of the air is the direction from the inlet to the outlet of the coal conveying pipeline, the central processing unit can receive and analyze signals of the inlet pressure signal acquisition unit, the outlet pressure signal acquisition unit and the material weighing control unit, judge whether the coal conveying pipeline is blocked or not and control the blowing flow rate control unit to change the air speed in the coal conveying pipeline, and (4) removing the blockage.
In order to optimize the technical scheme, the specific measures adopted further comprise:
the inlet pressure signal acquisition unit and the outlet pressure signal acquisition unit are both pressure sensors.
The central processing unit is a digital processor adopting a DSP and an FPGA.
The application method of the intelligent anti-blocking device of the large-scale blast furnace injection system based on the spectrum analysis comprises the following steps:
the coal pulverizer inputs the coal dust particle diameter of the coal conveying pipeline to be different, can produce the harmonic signal with different amplitude and phase place, the central processing unit receives the pressure signal that inlet pressure signal acquisition unit and outlet pressure signal acquisition unit gathered and calculates, obtain the effective value of each harmonic signal, analyze the frequency distribution diagram under the current signal according to the calculated result, judge the particle diameter distribution state in the current coal conveying pipeline according to the distribution diagram, and then obtain the current coal conveying pipeline state, simultaneously, solve the first derivative value in real time to the weight curve that the material weighing control unit gathers in the central processing unit, calculate the growth rate, assist and judge the current coal conveying pipeline state, the central processing unit controls the dynamic control unit of the jetting flow velocity to adjust the jetting pressure according to the coal conveying pipeline state, reduce the jam probability of the coal conveying pipeline.
The specific method for calculating the effective value of the coal powder particle harmonic signal under each particle size by the central processing unit is as follows:
wherein U isRnBeing the real part, U, of the harmonic signalInFor the imaginary part of the harmonic signal, URMSnIs the effective value, u, of the harmonic signal of the coal dust particleskN is the sampling point number of 5000HZ for the sampling data point value of FPGA, namely 5000 points of data are collected every second, and the sampling interval is 200 mus. Wherein n has a value in the range of [1,19 ]]And respectively calculating effective values under 1-19 harmonics.
When the harmonic effective value in the range of 10-100 HZ is larger than the calibration value and reaches more than n%, the weight curve growth rate is larger than a certain value g, and after the operation lasts for a certain time X, the central processing unit executes a blockage removing action, wherein the blockage removing action comprises the steps of reducing the pulverized coal amount input into the coal conveying pipeline by the coal mill and increasing the wind speed in the coal conveying pipeline.
When n% is greater than 50 and g is greater than 10, the duration is taken to be X ═ 100 ms.
When n% is greater than 70 and g is greater than 12, the duration is equal to 60 ms.
When n% is greater than 80 and g is greater than 15, the duration is equal to 30 ms.
Compared with the prior art, the method improves the injection efficiency of the injection system by applying a spectral analysis-based method, automatically identifies the particle size of the current coal mill blanking powder according to the air pressure curve dynamic signal in the coal conveying pipeline in order to prevent blockage, dynamically changes the injection air pressure, thereby realizing dynamic injection flow, pre-judges the passing rate of the current coal conveying pipeline, immediately modifies the injection pressure and effectively reduces the blockage probability of the coal conveying pipeline.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram of a pressure difference signal curve at an inlet and an outlet of a coal conveying pipeline;
FIG. 3 is a Fourier transform frequency exploded view;
FIG. 4 is a histogram;
wherein, u: a pressure value of a time domain sampling signal, t is a time domain time value, f is a frequency domain signal frequency value, a: frequency domain signal amplitude value, Δ p: collecting pressure difference with pressure values p1 and p 2;
fig. 5 is a block removal control logic diagram.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
As shown in fig. 1, in the injection system, a feed opening of a coal mill is provided with a feed control unit and a material weighing control unit, and a later stage is connected with an injection flow rate control unit, wherein the injection rate is V; 2 pressure sensors are respectively arranged at an inlet and an outlet of the coal conveying pipeline, and the collected pressure values are p1 and p 2; the centralized control device is provided with a central processing unit of FPGA + DSP, a pressure acquisition unit for acquiring a coal conveying pipeline, a blowing material flow velocity control unit, a blanking weighing unit and a blanking control unit; the central processing unit collects the sensor signal processing of each subunit module, and uniformly outputs the signals of each control unit according to the internal judgment logic, so that the aim of overall distribution management is fulfilled.
The pressure signal acquisition unit acquires pressure signal values of p1 and p2, data fitting curves are carried out in software, and under normal conditions, due to the fact that the bandwidth of allowable particle size distribution exists in coal dust at a feed opening of the coal mill, the particle size of qualified coal dust in an injection pipeline changes, so that the pressure signal curve generated by the coal dust under injection pressure changes irregularly, and the general curve type is shown in fig. 2.
It can be seen from fig. 2 that the time domain curve of the signal is irregular, and direct analysis cannot be performed, but following the fourier transform law, any signal in nature can be expanded into infinite sinusoidal signals with different amplitudes and phases by using a limit expansion method, as shown in fig. 3, and the signal in the frequency domain can be obtained by performing mathematical signal decomposition on the sinusoidal signals, as shown in fig. 4. The powder with different grain diameters in the coal conveying pipeline can correspond to sinusoidal signals with different amplitudes and phases. And calculating real parts and imaginary parts of the subharmonics by using a Fourier calculation method so as to calculate effective values of various signals, calculating harmonic components of the subharmonics according to calculation analysis software in the DSP and the Fourier calculation method, and calculating real parts and imaginary parts of the subharmonics at various frequencies.
Wherein U isRnBeing the real part, U, of the harmonic signalInFor the imaginary part of the harmonic signal, URMSnIs the effective value, u, of the harmonic signal of the coal dust particleskFor the sampling data point value of the FPGA, N is the sampling point number of 5000HZ, namely 5000 points of data are collected every second, and the sampling interval is 200 us. Wherein n has a value in the range of [1,19 ]]And respectively calculating effective values under 1-19 harmonics. The pressure signal curve acquired by the sensor is a superposition semaphore of multiple signals, and due to the fact that the diameters of particles in the pipeline are different, the pressure signal at the inlet of the pipeline can be superposed with multiple particle sensing signals in the transmission process and is also a reverse superposition signal of multiple particles, and the pressure signal acquired by the sensor is reversely calculated by a calculation method, so that independent superposition element signals are disassembled. Each signal represents a particle-induced signal. And calculating the amplitude of each signal and displaying the amplitude in a curve form, so that the distribution condition of each particle in the medium pressure signal can be judged, and the frequency distribution map under the current signal is obtained. And judging the particle diameter distribution state in the current coal conveying pipeline according to the distribution diagram, and further adjusting the injection pressure. On the other hand, when the coal conveying pipeline is blocked or nearly blocked, the weight curve acquired by a sensor of the weighing system shows an ascending trend, the acquired curve is subjected to real-time solution of a primary derivative value in the DSP, the growth rate is calculated, and the current pipeline state is assisted to be judged.
And finally, the central control unit analyzes the actual running state in the pipeline under the current operation parameters of the blowing system according to the calculated frequency spectrum analysis chart and the weighing curve chart, and performs outlet control according to the calculation result, wherein the control logic is shown in fig. 5.
Namely: when in use
1) When n% is greater than 50 and g is greater than 10, the duration is taken to be X ═ 100 ms.
2) When n% is greater than 70 and g is greater than 12, the duration is equal to 60 ms.
3) When n% is greater than 80 and g is greater than 15, the duration is equal to 30 ms.
The central processing unit dynamically performs blockage removal action according to the data distribution interval acquired and calculated currently, the blanking rate is controlled by the blanking port rate control unit, blockage is judged in advance according to the current sampling value, and the injection pressure is increased in advance.
In summary, the invention predicts the direct distribution of particles in the pipeline by calculating the frequency spectrum distribution data of the pressure signal in the pipeline, further pushes the value of the blowing pressure, further pre-judges the blocking condition in advance, and simultaneously identifies the derivative data of the auxiliary weighing curve, thereby judging the current system working state, and makes corresponding outlet logic according to the current device, and the outlet logic can be dynamically adjusted according to the distribution state data, thereby improving the working efficiency.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (7)
1. Large-scale blast furnace jetting system intelligence prevents stifled device based on spectral analysis, including coal conveying pipeline, coal conveying pipeline entrance installation unloading the control unit, unloading the control unit be used for controlling the buggy volume of coal pulverizer input coal conveying pipeline entry, characterized by: the intelligent anti-blocking device comprises an intelligent anti-blocking device, a coal conveying pipeline, a material weighing control unit, an inlet pressure signal acquisition unit, an outlet pressure signal acquisition unit, a blowing flow rate control unit and a central processing unit, wherein the material weighing control unit is arranged at an inlet of the coal conveying pipeline or in the coal conveying pipeline and can weigh the weight of pulverized coal falling on the material weighing control unit, the inlet and the outlet of the coal conveying pipeline are respectively provided with the inlet pressure signal acquisition unit and the outlet pressure signal acquisition unit, the inlet pressure signal acquisition unit and the outlet pressure signal acquisition unit are respectively used for acquiring pressure signal curves at the inlet and the outlet of the coal conveying pipeline, the blowing flow rate control unit is used for controlling the air speed in the coal conveying pipeline, the air direction is towards the inlet and the outlet of the coal conveying pipeline, and the central processing unit can receive and analyze signals of the inlet pressure signal acquisition, and judging whether the coal conveying pipe is blocked, controlling the blowing flow speed control unit to change the air speed in the coal conveying pipeline, and removing the blockage.
2. The intelligent anti-blocking device for the large-scale blast furnace injection system based on the spectrum analysis of claim 1, which is characterized in that: the inlet pressure signal acquisition unit and the outlet pressure signal acquisition unit are both pressure sensors.
3. The intelligent anti-blocking device for the large-scale blast furnace injection system based on the spectrum analysis of claim 1, which is characterized in that: the central processing unit is a digital processor adopting DSP and FPGA.
4. The use method of the intelligent anti-blocking device for the large-scale blast furnace injection system based on the spectrum analysis as claimed in claim 1 is characterized in that:
the coal pulverizer inputs the coal dust particle diameter of the coal conveying pipeline to be different, can produce the harmonic signal with different amplitude and phase place, the central processing unit receives the pressure signal that inlet pressure signal acquisition unit and outlet pressure signal acquisition unit gathered and calculates, obtain the effective value of each harmonic signal, analyze the frequency distribution diagram under the current signal according to the calculated result, judge the particle diameter distribution state in the current coal conveying pipeline according to the distribution diagram, and then obtain the current coal conveying pipeline state, simultaneously, solve the first derivative value in real time to the weight curve that the material weighing control unit gathers in the central processing unit, calculate the growth rate, assist and judge the current coal conveying pipeline state, the central processing unit controls the dynamic control unit of the jetting flow velocity to adjust the jetting pressure according to the coal conveying pipeline state, reduce the jam probability of the coal conveying pipeline.
5. The use method of the intelligent anti-blocking device for the large-scale blast furnace injection system based on the spectrum analysis as claimed in claim 4 is characterized in that:
the specific method for calculating the effective value of the coal powder particle harmonic signal under each particle size by the central processing unit is as follows:
wherein U isRnBeing the real part, U, of the harmonic signalInFor the imaginary part of the harmonic signal, URMSnIs the effective value, u, of the harmonic signal of the coal dust particleskN is the sampling point number of 5000HZ for the sampling data point value of FPGA, namely 5000 points of data are collected every second, and the sampling interval is 200 mus. Wherein n has a value in the range of [1,19 ]]And respectively calculating effective values under 1-19 harmonics.
6. The use method of the intelligent anti-blocking device for the large-scale blast furnace injection system based on the spectrum analysis as claimed in claim 5 is characterized in that:
when the harmonic effective value in the range of 10-100 HZ is larger than the calibration value and reaches more than n%, the weight curve growth rate is larger than a certain value g, and after the weight curve growth rate lasts for a certain time X, the central processing unit executes a blockage removing action, wherein the blockage removing action comprises reducing the pulverized coal amount input into the coal conveying pipeline by the coal mill and increasing the wind speed in the coal conveying pipeline.
7. The use method of the intelligent anti-blocking device for the large-scale blast furnace injection system based on the spectrum analysis as claimed in claim 6, is characterized in that:
when n% is greater than 50 and g is greater than 10, the duration is taken to be X ═ 100 ms.
When n% is greater than 70 and g is greater than 12, the duration is equal to 60 ms.
When n% is greater than 80 and g is greater than 15, the duration is equal to 30 ms.
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