CN111177914B - Cement process preheater modeling method based on system engineering - Google Patents
Cement process preheater modeling method based on system engineering Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 42
- 239000004568 cement Substances 0.000 title claims abstract description 28
- 238000005259 measurement Methods 0.000 claims abstract description 13
- 238000006243 chemical reaction Methods 0.000 claims description 18
- 238000012795 verification Methods 0.000 claims description 18
- 238000000926 separation method Methods 0.000 claims description 15
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 13
- 239000003546 flue gas Substances 0.000 claims description 13
- 239000007790 solid phase Substances 0.000 claims description 10
- 239000007789 gas Substances 0.000 claims description 6
- 239000000428 dust Substances 0.000 claims description 5
- 238000012546 transfer Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 8
- 230000000694 effects Effects 0.000 abstract description 7
- 238000005457 optimization Methods 0.000 abstract description 6
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000011160 research Methods 0.000 description 5
- 238000004088 simulation Methods 0.000 description 4
- 238000013528 artificial neural network Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
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- 238000010586 diagram Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000036186 satiety Effects 0.000 description 1
- 235000019627 satiety Nutrition 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000000725 suspension Substances 0.000 description 1
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The invention relates to the technical field of cement technology, and discloses a modeling method of a cement technology preheater based on system engineering. And establishing a preheater model, and taking the inlet data obtained by actual measurement as the input quantity of the preheater model in a parameter checking module, and establishing a planning solution minimum objective function to obtain a corrected cement process preheater model. The invention can effectively evaluate the heat exchange effect of the same preheater under different working conditions or different periods, and can evaluate the heat exchange effect of different preheaters under the same working condition; the data quantity required by the preheater model is not large, and the data can be completely provided by production data or thermal calibration; the situation of fitting cannot occur; the method is suitable for flow modeling, can well predict the running state of the preheater under the same working condition, and can also be suitable for process optimization.
Description
Technical Field
The invention relates to the technical field of cement technology, in particular to a modeling method of a cement technology preheater based on system engineering.
Background
The novel dry cement production process is the most advanced one in the modern cement production process, and is mainly characterized by a suspension preheating and decomposing system. The main equipment components of the system are a preheater and a decomposing furnace. The preheater bears a plurality of important responsibilities such as gas-solid separation, material heating, partial physical and chemical reactions and the like. Therefore, research on preheaters is becoming increasingly important, both in actual production operations and in cement production process research.
The research on preheaters at home and abroad is mainly focused on 3 directions.
The first direction is computational fluid dynamics simulation (CFD simulation for short). And carrying out structural modeling on a single preheater by utilizing CFD software, inputting relevant process parameters such as flue gas flow rate and temperature, dust concentration, material composition and temperature, carrying out CFD simulation, and finally outputting results such as flow field distribution, dispersion effect, temperature field distribution and the like in the preheater under the current structure and parameters. CFD simulation can help evaluate the quality of the preheater hardware structure and also help analyze the impact of various process parameters on the preheater performance. This direction has the disadvantage that the calculation is too complex, and modeling calculation of a single device is often required by means of special CFD software, which is not suitable for process optimization of the whole system.
The second direction is the inverse of the thermal domain. This direction is based primarily on conservation of mass and energy, and the overall preheating system operation is assessed using some relatively readily available process parameters. The method of evaluating heat exchange in the reverse method is a concept of thermal efficiency. This thermal efficiency is the concept of the ratio of effective work to total work in thermodynamics. The disadvantage of this approach is that the system cannot be predicted accurately, and therefore cannot be optimized using the model.
The third direction is neural network modeling of dynamic structures in the area of automation. The method avoids complex calculation and analysis, can establish a related model based on the existing monitoring parameters, and has good dynamic characteristics. However, the built model is easy to have the problems of satiety or overfitting, and in addition, the training time is long, and the defects of subjective factors and the like exist in the network training.
None of the three directions of research or modeling means for the preheater can meet the requirements of flow modeling and process optimization of the cement clinker production process. Accordingly, there is a need to develop a cement process preheater modeling method that can cope with flow modeling for process optimization.
Disclosure of Invention
The invention aims to provide a modeling method of a cement process preheater based on system engineering, so as to solve the problems in the prior art.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a modeling method of a cement process preheater based on system engineering, which comprises a modeling module and a parameter verification module,
The modeling module is used for establishing a plurality of preheater model equation sets;
The parameter verification module is used for performing parameter verification on a plurality of preheater model equation sets in the modeling module.
Further, a plurality of preheater model equation sets are established, and the method comprises the following steps:
s1) analyzing physical changes and chemical reactions occurring in a preheater to be modeled;
S2) establishing a model equation set of the preheater according to physical changes and chemical reactions which occur in the preheater to be modeled;
The preheater model equation set includes:
The gas and solid phase component mass conservation equation set does not participate in physical change and chemical reaction;
mass transfer equation set of gas and solid phase components participating in physical change and chemical reaction;
an overall energy balance equation covering physical change heat, chemical reaction heat, and heat loss;
The separation efficiency equation is the ratio of the dust amount in the flue gas at the outlet of the preheater to the total solid phase amount at the inlet;
And the heat exchange efficiency equation is the ratio of the output heat of actual flue gas to the output heat of the flue gas when ideal complete heat exchange is performed.
Further, parameter verification is performed on a plurality of preheater model equation sets in the modeling module, and the method comprises the following steps:
s11) obtaining preheater inlet data obtained by actual measurement;
S22), a parameter verification module is established according to the pre-heater inlet data obtained through actual measurement.
Further, in step S22), a parameter verification module is established, including the steps of:
S33) taking the preheater inlet data obtained in the actual measurement in the step S11) as the input quantity of a preheater model equation set in the step S2), and taking the separation efficiency and the heat exchange efficiency as variables;
S44) establishing a planning solution minimum objective function;
s55) solving a planning solution minimum objective function according to the input quantity and the variable;
S66) obtaining corrected model parameters with the minimum parameter error of the preheater under the actual working condition, wherein the model parameters comprise separation efficiency and/or heat exchange efficiency;
S77) carrying the corrected model parameters into a model equation set of the preheater to obtain a corrected cement process preheater model.
Further, in step S44), a minimum objective function for planning and solving is established, including the steps of:
s441) obtaining the outlet temperature { T 1,T2,...,Tn},Tn obtained by actually measuring the preheater under the working condition is the actual outlet temperature of the preheater under the nth group of actual working conditions;
s442) establishing a planning solution minimum objective function according to the outlet temperature obtained by actual measurement T i is the actual outlet temperature of the preheater under the i-th set of actual working conditions, T i * is the outlet temperature of the preheater model corresponding to the actual outlet temperature of the preheater under the i-th set of actual working conditions, and mu i is the i-th set of actual working condition weight.
Further, the i-th set of actual condition weightsWherein omega j is the j-th model parameter error weight, k is the total number of model parameters,/>For the service life offset item of the preheater under the i-th group of actual working conditions,/>An environmental bias term for a cement process preheater system.
The beneficial effects of the invention are as follows:
1) The invention provides a heat exchange efficiency concept based on system engineering, which can effectively evaluate the heat exchange effect of the same preheater under different working conditions or different periods and also evaluate the heat exchange effect of different preheaters under the same working condition;
2) The cement process preheater model built by the invention has small data quantity required in the parameter checking stage, and can be completely provided by production data or thermal calibration; in addition, the situation that the neural network modeling is fitted in the prior art can not occur;
3) The cement process preheater model built by the invention is suitable for flow modeling, can well predict the running state of the preheater under the same working condition, and can also be suitable for process optimization.
Drawings
Fig. 1 is a schematic diagram of a modeling method of a cement process preheater based on system engineering according to the first embodiment.
Fig. 2 is a flow chart of a modeling method of a cement process preheater based on system engineering according to the first embodiment.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the detailed description is presented by way of example only and is not intended to limit the invention.
In a first embodiment, as shown in fig. 1 and 2, a modeling method for a cement process preheater based on system engineering comprises a modeling module and a parameter verification module,
The modeling module is used for establishing a plurality of preheater model equation sets;
The parameter verification module is used for performing parameter verification on a plurality of preheater model equation sets in the modeling module.
Establishing a plurality of preheater model equation sets, comprising the following steps:
s1) analyzing physical changes and chemical reactions occurring in a preheater to be modeled;
S2) establishing a model equation set of the preheater according to physical changes and chemical reactions which occur in the preheater to be modeled;
The preheater model equation set includes:
The gas and solid phase component mass conservation equation set does not participate in physical change and chemical reaction;
mass transfer equation set of gas and solid phase components participating in physical change and chemical reaction;
an overall energy balance equation covering physical change heat, chemical reaction heat, and heat loss;
The separation efficiency equation is the ratio of the dust amount in the flue gas at the outlet of the preheater to the total solid phase amount at the inlet;
And the heat exchange efficiency equation is the ratio of the output heat of actual flue gas to the output heat of the flue gas when ideal complete heat exchange is performed.
Parameter verification is carried out on a plurality of preheater model equation sets in a modeling module, and the method comprises the following steps:
s11) obtaining preheater inlet data obtained by actual measurement;
S22), a parameter verification module is established according to the pre-heater inlet data obtained through actual measurement.
Further, in step S22), a parameter verification module is established, including the steps of:
S33) taking the preheater inlet data obtained in the actual measurement in the step S11) as the input quantity of a preheater model equation set in the step S2), and taking the separation efficiency and the heat exchange efficiency as variables;
S44) establishing a planned solution minimum objective function, comprising the steps of:
s441) obtaining the outlet temperature { T 1,T2,...,Tn},Tn obtained by actually measuring the preheater under the working condition is the actual outlet temperature of the preheater under the nth group of actual working conditions;
s442) establishing a planning solution minimum objective function according to the outlet temperature obtained by actual measurement T i is the actual outlet temperature of the preheater under the i-th set of actual working conditions, T i * is the outlet temperature of the preheater model corresponding to the actual outlet temperature of the preheater under the i-th set of actual working conditions, mu i is the i-th set of actual working condition weight,Wherein omega j is the j-th model parameter error weight, k is the total number of model parameters,/>For the service life offset item of the preheater under the i-th group of actual working conditions,/>An environmental bias term for a cement process preheater system.
S55) solving a planning solution minimum objective function according to the input quantity and the variable;
S66) obtaining corrected model parameters with the minimum parameter error of the preheater under the actual working condition, wherein the model parameters comprise separation efficiency and/or heat exchange efficiency;
S77) carrying the corrected model parameters into a model equation set of the preheater to obtain a corrected cement process preheater model.
The invention firstly researches the condition of the preheater which is needed to be modeled, and analyzes the physical change and chemical reaction which occur in the preheater. A preheater model is then created for the physical changes and chemical reactions that occur within the preheater to be modeled. The model comprises a plurality of preheater model equation sets, including a separation efficiency equation formula with separation efficiency equal to the ratio of the dust amount in the outlet flue gas to the total solid phase amount of the inlet, and a heat exchange efficiency equation formula with heat exchange efficiency equal to the ratio of the output heat of the actual flue gas to the output heat of the flue gas when ideal complete heat exchange. In the parameter checking module, the input quantity of the preheater model is taken as the actual measured inlet data, the separation efficiency and the heat exchange efficiency are taken as variables, and the weighted square sum of the relative deviation between the outlet temperature in the model output quantity and the actual measured outlet temperature is the minimum as a planning solving target. And carrying out planning solution to obtain the separation efficiency and the heat exchange efficiency of the preheater under the working condition. And finally substituting the separation efficiency and the heat exchange efficiency obtained by parameter correction into a preheater model to obtain the required preheater model.
By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained:
The invention provides a heat exchange efficiency concept based on system engineering, which can effectively evaluate the heat exchange effect of the same preheater under different working conditions or different periods, and can evaluate the heat exchange effect of different preheaters under the same working condition; the cement process preheater model built by the invention has small data quantity required in the parameter checking stage, and can be completely provided by production data or thermal calibration; in addition, the situation that the neural network modeling is fitted in the prior art can not occur; the cement process preheater model built by the invention is suitable for flow modeling, can well predict the running state of the preheater under the same working condition, and can also be suitable for process optimization.
The foregoing is merely a preferred embodiment of the invention, and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the invention, which is also intended to be covered by the present invention.
Claims (1)
1. A modeling method of a cement process preheater based on system engineering is characterized by comprising a modeling module and a parameter verification module,
The modeling module is used for establishing a plurality of preheater model equation sets; establishing a plurality of preheater model equation sets, comprising the following steps:
s1) analyzing physical changes and chemical reactions occurring in a preheater to be modeled;
S2) establishing a model equation set of the preheater according to physical changes and chemical reactions which occur in the preheater to be modeled;
The preheater model equation set includes:
The gas and solid phase component mass conservation equation set does not participate in physical change and chemical reaction;
mass transfer equation set of gas and solid phase components participating in physical change and chemical reaction;
an overall energy balance equation covering physical change heat, chemical reaction heat, and heat loss;
the separation efficiency equation is the ratio of the dust amount in the flue gas at the outlet of the preheater to the total solid phase amount at the inlet;
The heat exchange efficiency equation is the ratio of the output heat of actual flue gas to the output heat of flue gas when ideal complete heat exchange is performed;
The parameter verification module is used for performing parameter verification on a plurality of preheater model equation sets in the modeling module; parameter verification is carried out on a plurality of preheater model equation sets in the modeling module, and the method comprises the following steps:
s11) obtaining preheater inlet data obtained by actual measurement;
s22) establishing a parameter verification module according to the pre-heater inlet data obtained by actual measurement;
Step S22) of establishing a parameter verification module, comprising the steps of:
S33) taking the preheater inlet data obtained by actual measurement in the step S11) as input quantity of the preheater model equation set in the step S2), and taking the separation efficiency and the heat exchange efficiency as variables;
S44) establishing a planning solution minimum objective function; step S44), establishing a planned solution minimum objective function, including the steps of:
S441) obtaining an outlet temperature { T 1,T2,...,Tn } obtained by actually measuring the preheater under the working condition, wherein Tn is the actual outlet temperature of the preheater under the nth group of actual working conditions;
S442) establishing a planned solution minimum objective function according to the outlet temperature obtained by the actual measurement T i is the actual outlet temperature of the preheater under the i-th group of actual working conditions,/>Mu i is the weight of the i-th actual working condition;
Ith set of actual operating mode weights Wherein omega j is the j-th model parameter error weight, k is the total number of model parameters,/>For the service life offset item of the preheater under the i-th group of actual working conditions,/>A cement process preheater system environment bias term;
s55) solving a minimum objective function of the planning solution according to the input quantity and the variable;
S66) obtaining corrected model parameters with the minimum parameter error of the preheater under the actual working condition, wherein the model parameters comprise separation efficiency and/or heat exchange efficiency;
S77) bringing the corrected model parameters into the model equation set of the preheater to obtain a corrected cement process preheater model.
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