CN114021309A - Simulation data acquisition and simulation method for material operation simulation in blast furnace - Google Patents
Simulation data acquisition and simulation method for material operation simulation in blast furnace Download PDFInfo
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- CN114021309A CN114021309A CN202111209825.0A CN202111209825A CN114021309A CN 114021309 A CN114021309 A CN 114021309A CN 202111209825 A CN202111209825 A CN 202111209825A CN 114021309 A CN114021309 A CN 114021309A
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Abstract
The invention discloses a simulation data acquisition and simulation method for material operation simulation in a blast furnace, in particular to the technical field of simulation, which adopts a forward simulation operation model and a reverse simulation operation model, or when the operation parameters of equipment are most reasonable, the reasonable range of the self data of the material, and simultaneously adopts a forward simulation operation rule to determine the influence of the material data and the operation parameters of the equipment on an output result, so that the reasons for judging the difference or the non-ideal of the output result of the material can be intuitively understood, the reasons for judging the abnormality of the material are judged by combining each node of the material in the blast furnace, and simultaneously the optimal selection of the material data and the operation parameters of the equipment can be completed by combining the forward simulation operation model and the reverse simulation operation model, so that the material data is kept in the reasonable range, the most proper operation parameters of the equipment are matched, and the overload or underload condition in the operation process of the equipment is avoided, the probability of energy waste is reduced.
Description
Technical Field
The invention relates to the technical field of simulation, in particular to a simulation data acquisition and simulation method for simulating material operation in a blast furnace.
Background
The blast furnace uses steel plate as furnace shell, and refractory brick lining is built in the shell. The blast furnace body is divided into a furnace throat, a furnace body, a furnace waist, a furnace belly and a furnace hearth 5 from top to bottom. Because of the advantages of good economic index, simple process, large production capacity, high labor production efficiency, low energy consumption and the like of the blast furnace ironmaking technology, the iron produced by the method accounts for the vast majority of the total iron production in the world.
The blast furnace smelting process is a very complicated physical and chemical reaction process. The calculation of material balance and heat balance is to further understand the change condition of the blast furnace in the smelting process after adopting the new technology, and carry out deep and quantitative analysis and research, so as to provide certain data for the stable and smooth operation and the operation adjustment of the blast furnace, and play a due role in high yield, high quality and low consumption of the blast furnace; meanwhile, the method makes a preliminary preparation for controlling the production process of the blast furnace by using a local or whole electronic computer in the future. If the material balance and the heat balance are calculated manually without errors in the calculation, two days are generally needed for each group.
In the production of a blast furnace, iron ore, coke, and a flux (limestone) for slag formation are charged from the top of the furnace, and preheated air is blown through tuyeres located along the periphery of the furnace at the lower part of the furnace. Carbon in coke (some blast furnaces also blow auxiliary fuel such as coal dust, heavy oil, natural gas and the like) at high temperature is combusted with oxygen blown into air to generate carbon monoxide and hydrogen, and oxygen in iron ore is removed in the ascending process in the furnaces, so that iron is obtained by reduction. The smelted molten iron is discharged from the iron notch. Unreduced impurities in the iron ore are combined with fluxes such as limestone to generate slag, and the slag is discharged from a slag hole. The generated gas is discharged from the top of the furnace, and is used as fuel for hot blast stoves, heating furnaces, coke ovens, boilers and the like after dust removal. The main products of blast furnace smelting are pig iron, and blast furnace slag and blast furnace gas are also by-products.
The simulation model refers to various models created by studying a simulation object. Such as a physical model of the object being simulated or a mathematical model suitable for the computational process. The physical model is used for physical simulation, the mathematical model is used for mathematical simulation (computer simulation), and the combination of the two is used for semi-physical simulation. In mathematical simulation (computer simulation), a mathematical model of a system must be rewritten into a simulation model before a corresponding computer program can be written for operation. The mathematical model is a first order approximation model of the system, and the simulation model is a second order approximation model.
A simulation model is a likeness of an object being simulated or a structural form thereof. It may be a physical model or a mathematical model. Not all objects can build a physical model. For example, in order to study the dynamics of an aircraft, it is possible on the ground to simulate only with computers. For this purpose, a mathematical model of the object is first created and then converted into a form suitable for computer processing, i.e. a simulation model. Specifically, for a simulation computer, the mathematical model should be converted into a simulation problem map; for a digital computer, it should be converted to a source program.
The service life of the equipment can be influenced by overload or underload during the operation of the equipment, and the energy consumption is increased.
When the blast furnace is carrying out material processing, because there is the difference in material self performance, but the parameter of equipment operation process is mostly fixed program, when leading to final material output, there is certain difference in material performance, influence material processing process's result, the material can't accurate audio-visual understanding in the form performance change process of blast furnace inside simultaneously, the reason that the deviation appears in the result when unable accurate judgement material output, consequently need a blast furnace material operation simulation in solve above-mentioned problem with simulation data acquisition and simulation method.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a simulation data acquisition and simulation method for simulating the operation of materials in a blast furnace, and the technical problems to be solved by the invention are as follows: when the blast furnace is carrying out material processing, because there is the difference in material self performance, but the parameter of equipment operation process is mostly fixed procedure, when leading to final material output, there is certain difference in the material performance, influences the result of material processing process, and the material can't accurate audio-visual understanding in the form performance change process of blast furnace inside simultaneously, the problem of the reason of deviation appears in the result when unable accurate judgement material is exported.
In order to achieve the purpose, the invention provides the following technical scheme: a simulation data acquisition and simulation method for simulating the operation of materials in a blast furnace comprises the following steps:
s1, acquiring initial data of the material, data of state change and position transfer of the material in the blast furnace, a three-dimensional model of the equipment, parameter data of normal operation of the equipment and ideal state data of the material after being output from the blast furnace, sorting state change nodes of the material in the blast furnace, collecting data of the material at a plurality of nodes, and establishing a topological model comprising the change data of the material at the plurality of nodes in the blast furnace, wherein the parameter data of the equipment during normal operation comprises an input operation instruction of the equipment and data of internal change at each node during operation of the equipment;
s2, establishing a forward simulation operation model and a reverse simulation operation model, combining a three-dimensional model of equipment with operation rule data of the equipment to form a reverse simulation operation model, performing feature extraction on a case in which normal results are obtained by the operation data of normal materials in a blast furnace, performing a feature extraction process reversely, performing an output result to an input condition to obtain a reverse operation rule, performing a feature extraction process forwardly, and performing an input condition to an output result to obtain a forward operation rule;
and S3, simulating the operation of the material in the blast furnace by combining the dynamic instruction data control simulation operation model, obtaining simulation data, comparing the simulation data with the optimal data range, and adjusting the parameters or the material data of the blast furnace operation process by combining the simulation data analysis result.
As a further scheme of the invention: the initial data of the material comprises the particle size of the material, the humidity of the material, the physical quantity and the material distribution shape in the blast furnace, the data in the equipment comprises the temperature, the humidity, the pressure and the working time of the equipment, and whether the data in the equipment is consistent with the operation instruction after the operation instruction is received or not is judged.
As a further scheme of the invention: the forward simulation model is used for forward simulation from input conditions to output conditions, the change of the output results can be intuitively known through adjusting the input conditions, the input conditions are self data of materials or equipment operation parameters, the reverse simulation operation model is used for simulation from the output conditions to the input conditions, the output results adopt optimal results, when the material data are determined, the optimal equipment operation parameters are obtained, the optimal result is adopted in the output results, when the equipment operation parameters are determined, the optimal material data are obtained, the reverse simulation operation model is used for determining the material data or the equipment operation parameters, the forward simulation operation model is used for determining the influence of the material data and the equipment operation parameters on the output results, and the change and the development condition of the materials in the blast furnace at each node are intuitively known and judged.
As a further scheme of the invention: and selecting the cases for feature extraction in the step S2 from the database, and selecting the cases similar to the events related to the blast furnace material by adopting a fuzzification data theory in the selection process, so as to ensure that the operation rule data obtained by feature extraction of the cases are accurately attached.
As a further scheme of the invention: the simulation data analysis process in step S4 includes dividing the simulation data into multiple node simulation subdata according to the change node of each node material, and generating a corresponding graph by combining the simulation subdata with the change and output result of the internal data of the device, and displaying the graph by using the display device.
The invention has the beneficial effects that:
1. the invention can analyze the self-operation parameters of the equipment through the reverse simulation operation model when the self-data of the material has difference by adopting the forward simulation operation model and the reverse simulation operation model according to the optimal output result, or can determine the reasonable range of the self-data of the material when the self-data of the equipment has the most reasonable operation parameter, and can determine the influence of the material data and the equipment operation parameter on the output result by adopting the forward simulation operation rule, so that the reason for judging the difference or the non-ideal output result of the material can be intuitively understood, the reason for judging the abnormality of the material by combining each node of the material in the blast furnace can be combined, and the optimal selection of the material data and the equipment operation parameter can be completed according to the combination of the forward simulation operation model and the reverse simulation operation model, so that the material data is kept in the reasonable range, the most proper equipment operation parameter is matched, and the overload or underload condition in the operation process of the equipment can be avoided, the probability of energy waste is reduced;
2. according to the invention, the cases used for extracting the operation rules are selected by adopting the fuzzification mathematical theory, the cases selected by the fuzzification mathematical theory are attached to the blast furnace three-dimensional model, and the operation rules are ensured to be attached to the blast furnace three-dimensional model more accurately.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
a simulation data acquisition and simulation method for simulating the operation of materials in a blast furnace comprises the following steps:
s1, acquiring initial data of the material, data of state change and position transfer of the material in the blast furnace, a three-dimensional model of the equipment, parameter data of normal operation of the equipment and ideal state data of the material after being output from the blast furnace, sorting state change nodes of the material in the blast furnace, collecting data of the material at a plurality of nodes, and establishing a topological model comprising the change data of the material at the plurality of nodes in the blast furnace, wherein the parameter data of the equipment during normal operation comprises an input operation instruction of the equipment and data of internal change at each node during operation of the equipment;
s2, establishing a forward simulation operation model and a reverse simulation operation model, combining a three-dimensional model of equipment with operation rule data of the equipment to form a reverse simulation operation model, performing feature extraction on a case in which normal results are obtained by the operation data of normal materials in a blast furnace, performing a feature extraction process reversely, performing an output result to an input condition to obtain a reverse operation rule, performing a feature extraction process forwardly, and performing an input condition to an output result to obtain a forward operation rule;
and S3, simulating the operation of the material in the blast furnace by combining the dynamic instruction data control simulation operation model, obtaining simulation data, comparing the simulation data with the optimal data range, and adjusting the parameters or the material data of the blast furnace operation process by combining the simulation data analysis result.
The initial data of the material comprise the particle size of the material, the humidity of the material, the physical quantity and the material distribution shape in the blast furnace, the data in the equipment comprise the internal temperature, the humidity, the pressure and the working time of the equipment, whether the internal data of the equipment are consistent with the operation instruction after the operation instruction is received or not is judged, and the reason that the material output result is abnormal is misoperation or the response of the equipment is abnormal according to whether the operation instruction is consistent with the internal data of the equipment or not.
The forward simulation model is used for forward simulation from input conditions to output conditions, the change of the output results can be intuitively known by adjusting the input conditions, the input conditions are self data of materials or equipment operation parameters, the reverse simulation operation model is used for simulation from the output conditions to the input conditions, the output results adopt optimal results, when the material data are determined, the optimal equipment operation parameters are obtained, the optimal results are adopted as the output results, when the equipment operation parameters are determined, the optimal material data are obtained, the reverse simulation operation model is used for determining the material data or the equipment operation parameters, the forward simulation operation model is used for determining the influence of the material data and the equipment operation parameters on the output results, and the change and the development conditions of the materials in the blast furnace at each node are intuitively known and judged.
And selecting the cases for feature extraction in the step S2 from a database, selecting the cases similar to the events related to the blast furnace material by adopting a fuzzy data theory in the selection process, ensuring that the cases are accurately attached to the operation rule data obtained by feature extraction, and storing the obtained blast furnace and material data and the complete data of the completed material in the blast furnace.
The simulation data analysis process in step S4 includes dividing the simulation data into multiple node simulation subdata according to the change node of each node material, and generating a corresponding graph by combining the simulation subdata with the change and output result of the internal data of the device, and displaying the graph by using the display device.
In conclusion, the present invention:
the invention can analyze the self-operation parameters of the equipment through the reverse simulation operation model when the self-data of the material has difference by adopting the forward simulation operation model and the reverse simulation operation model according to the optimal output result, or can determine the reasonable range of the self-data of the material when the self-data of the equipment has the most reasonable operation parameter, and can determine the influence of the material data and the equipment operation parameter on the output result by adopting the forward simulation operation rule, so that the reason for judging the difference or the non-ideal output result of the material can be intuitively understood, the reason for judging the abnormality of the material by combining each node of the material in the blast furnace can be combined, and the optimal selection of the material data and the equipment operation parameter can be completed according to the combination of the forward simulation operation model and the reverse simulation operation model, so that the material data is kept in the reasonable range, the most proper equipment operation parameter is matched, and the overload or underload condition in the operation process of the equipment can be avoided, the probability of energy waste is reduced.
According to the invention, the cases used for extracting the operation rules are selected by adopting the fuzzification mathematical theory, the cases selected by the fuzzification mathematical theory are attached to the blast furnace three-dimensional model, and the operation rules are ensured to be attached to the blast furnace three-dimensional model more accurately.
The points to be finally explained are: although the present invention has been described in detail with reference to the general description and the specific embodiments, on the basis of the present invention, the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (5)
1. A simulation data acquisition and simulation method for simulating the operation of materials in a blast furnace is characterized by comprising the following steps:
s1, acquiring initial data of the material, data of state change and position transfer of the material in the blast furnace, a three-dimensional model of the equipment, parameter data of normal operation of the equipment and ideal state data of the material after being output from the blast furnace, sorting state change nodes of the material in the blast furnace, collecting data of the material at a plurality of nodes, and establishing a topological model comprising the change data of the material at the plurality of nodes in the blast furnace, wherein the parameter data of the equipment during normal operation comprises an input operation instruction of the equipment and data of internal change at each node during operation of the equipment;
s2, establishing a forward simulation operation model and a reverse simulation operation model, combining a three-dimensional model of equipment with operation rule data of the equipment to form a reverse simulation operation model, performing feature extraction on a case in which normal results are obtained by the operation data of normal materials in a blast furnace, performing a feature extraction process reversely, performing an output result to an input condition to obtain a reverse operation rule, performing a feature extraction process forwardly, and performing an input condition to an output result to obtain a forward operation rule;
and S3, simulating the operation of the material in the blast furnace by combining the dynamic instruction data control simulation operation model, obtaining simulation data, comparing the simulation data with the optimal data range, and adjusting the parameters or the material data of the blast furnace operation process by combining the simulation data analysis result.
2. The method for collecting and simulating the simulation data for the operation simulation of the materials in the blast furnace according to claim 1, wherein: the initial data of the material comprises the particle size of the material, the humidity of the material, the physical quantity and the material distribution shape in the blast furnace, the data in the equipment comprises the temperature, the humidity, the pressure and the working time of the equipment, and whether the data in the equipment is consistent with the operation instruction after the operation instruction is received or not is judged.
3. The method for collecting and simulating the simulation data for the operation simulation of the materials in the blast furnace according to claim 1, wherein: the forward simulation model is used for forward simulation from input conditions to output conditions, the change of the output results can be intuitively known through adjusting the input conditions, the input conditions are self data of materials or equipment operation parameters, the reverse simulation operation model is used for simulation from the output conditions to the input conditions, the output results adopt optimal results, when the material data are determined, the optimal equipment operation parameters are obtained, the optimal result is adopted in the output results, when the equipment operation parameters are determined, the optimal material data are obtained, the reverse simulation operation model is used for determining the material data or the equipment operation parameters, the forward simulation operation model is used for determining the influence of the material data and the equipment operation parameters on the output results, and the change and the development condition of the materials in the blast furnace at each node are intuitively known and judged.
4. The method for collecting and simulating the simulation data for the operation simulation of the materials in the blast furnace according to claim 1, wherein: and selecting the cases for feature extraction in the step S2 from the database, and selecting the cases similar to the events related to the blast furnace material by adopting a fuzzification data theory in the selection process, so as to ensure that the operation rule data obtained by feature extraction of the cases are accurately attached.
5. The method for collecting and simulating the simulation data for the operation simulation of the materials in the blast furnace according to claim 1, wherein: the simulation data analysis process in step S4 includes dividing the simulation data into multiple node simulation subdata according to the change node of each node material, and generating a corresponding graph by combining the simulation subdata with the change and output result of the internal data of the device, and displaying the graph by using the display device.
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