CN115511205A - Method for predicting coke oven gas production of iron and steel enterprises - Google Patents
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- 239000000571 coke Substances 0.000 title claims abstract description 216
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- UHOVQNZJYSORNB-UHFFFAOYSA-N Benzene Chemical compound C1=CC=CC=C1 UHOVQNZJYSORNB-UHFFFAOYSA-N 0.000 claims description 42
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 15
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- 229910021529 ammonia Inorganic materials 0.000 claims description 10
- 239000011593 sulfur Substances 0.000 claims description 10
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- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 3
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
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Abstract
A method for predicting the coke oven gas production of iron and steel enterprises solves the problems that a traditional prediction method needs a large amount of data, depends on the accuracy of the data, lacks theoretical basis support and is poor in use effect. The method for predicting the coke oven gas generation amount of the iron and steel enterprises predicts the coke oven gas generation amount by adopting the sub-total model, calculates the generation amount of the coke oven gas of each hole carbonization chamber in each time period according to the operation process of a coke oven according to the production reality of the coke oven, and then calculates the instantaneous generation amount of the coke oven gas at the corresponding time according to the corresponding time. The prediction method can calculate the coke oven gas production of the iron and steel enterprise in real time on line, help the iron and steel enterprise to dispatch energy more reasonably, effectively solve the problems of substandard production and unreasonable rhythm caused by unclear coke oven gas production and disordered dispatching, provide reliable basis for the optimized dispatching of the coal gas of the iron and steel enterprise, and improve the economic benefit of the enterprise.
Description
Technical Field
The invention belongs to the technical field of industrial artificial intelligence of metallurgy automation, and particularly relates to a method for predicting coke oven gas production of iron and steel enterprises, which can calculate coke oven gas production of the iron and steel enterprises in real time on line, help the iron and steel enterprises to more reasonably schedule energy, effectively solve the problems of substandard production and unreasonable rhythm caused by undefined coke oven gas production and disordered scheduling, and further improve the economic benefit of the enterprises.
Background
The iron and steel enterprises in China mainly adopt long processes, the production process comprises production links such as coking, sintering, pelletizing, ironmaking, steelmaking, steel rolling and the like, and the production links usually need high-quality fuel as a heat source for supplying heat. The coke oven gas as a fuel with high heat value and self-regulation and control occupies an important position in an energy medium of iron and steel enterprises, so the research and study on the coke oven gas generation amount have extremely important significance.
The coke oven gas is a coking byproduct with high added value and is also an energy medium which is mainly concerned by steel enterprises. The coke oven is affected by working conditions such as a heat supply system, coal blending component change, coal blending loading fluctuation, coking time and the like in the coking process, and large fluctuation of instantaneous gas generation amount is often caused. The fluctuation of the instantaneous amount of the coal gas easily causes the large pressure fluctuation of a coke oven gas pipe network, improper scheduling and distribution and causes the large amount of the coke oven gas to be diffused, so that the environment is polluted, and the benefit of steel enterprises is further reduced. At present, the generated quantity of the coke oven gas is generally predicted by adopting a data processing mode, however, the traditional method needs a large amount of data, is very dependent on the accuracy of the data, lacks the support of theoretical basis and has poor actual use effect. Therefore, it is necessary to improve the prediction mode of the coke oven gas generation amount of the existing iron and steel enterprises.
Disclosure of Invention
Aiming at the problems, the invention provides the method for predicting the coke oven gas production of the iron and steel enterprises, which can calculate the coke oven gas production of the iron and steel enterprises in real time on line, help the iron and steel enterprises to more reasonably schedule energy, effectively solve the problems of substandard production and unreasonable rhythm caused by unclear coke oven gas production and disordered scheduling and further improve the economic benefits of the enterprises.
The technical scheme adopted by the invention is as follows: the method for predicting the coke oven gas production of the iron and steel enterprise comprises the following steps:
step one, collecting technological parameters of each carbonization chamber, comprising the following steps: coal loading of the coking chamber, chemical product yield, estimated coking time and coke oven gas density;
step two, calculating the coke oven gas production of each carbonization chamber according to the acquired parameters;
step three, establishing a relation model of the coke oven gas generation quantity and time of each carbonization chamber according to the generation rule and the historical numerical value of the coke oven gas;
and step four, establishing a coke oven gas instantaneous generation quantity calculation model of the coke oven.
And step two, fully fusing the production characteristics of the coke-oven plants, and establishing a calculation model of the coke oven gas production of the single-hole carbonization chamber on the basis of combining the production characteristics of each coke-oven plant as follows:
V coke oven gas ＝f(G Coal (coal) ,t Coking time ,K Benzene (III) ,K Ammonia ,K Sulfur ,K Tar oil ,ρ Coke oven gas )
In the formula: v Coke oven gas -coke oven gas production;
G coal (coal) -the loading of coal;
t coking time -predicting a coking time;
K benzene (III) -benzene yield;
K ammonia -ammonia yield;
K sulfur -sulfur yield;
K tar oil -tar yield;
ρ coke oven gas -coke oven gas density;
after each hole of the coking chamber is filled with coal, field process personnel can make corresponding predicted coking time, coke pushing time and heating system according to the current production rhythm of the coke oven; and on the premise, after the coal charging amount of each hole of the coking chamber is determined, the coke oven gas generation amount can be calculated according to the corresponding predicted coking time, the benzene yield, the ammonia yield, the sulfur yield, the tar yield and the coke oven gas density.
In the process of establishing the relation between the coke oven gas production of the single-hole carbonization chamber and the time, firstly, determining a starting point and an end point which take the coking time as an X axis and the coke oven gas production as a Y axis, namely determining an X axis variable range and a Y axis variable range; secondly, drawing up a relational expression between the coke oven gas generation amount of the single-hole carbonization chamber and time based on the generation rule of the coke oven gas; then, the gas flow of each coking chamber corresponding to the specific moment is taken, and the relational coefficient of the coke oven gas generation amount of the single-hole coking chamber and the time is determined according to the historical actual measurement value of the coke oven gas flow; and finally, collecting parameters of actual coking time, coal components and vertical flue temperature, and correcting a relational expression of coal gas generation quantity and time.
The specific relation is as follows:
(1) determining a starting point (t) 0 ,y 0 ) And end point (t) n ,y n ) X-axis variable range t 0 ≤x≤t n Y-axis variable range Y 0 ≤y≤y n ；
(2) Determining a relational expression between the coke oven gas generation amount of the single-hole carbonization chamber and time;
(3) taking the coking time period t of the No. 1 coking chamber 0 ≤x 1# carbonization chamber ≤t 1 When the No. 1 coking chamber is in the coking time period (t) 0 ,t 1 ) In the process, other carbonization chambers are respectively in the following coking time periods: t is t n-1 ≤x 2# carbonization chamber ≤t n 、t n-2 ≤x 3# carbonization chamber ≤t n-1 、······、t 1 ≤x 110# carbonization chamber ≤t 2 (ii) a The coke oven gas flow calculation formula is as follows:
according to coke oven gas flowMeasuring historical measurements, determining k 1 ～k n And b 1 ～b n The specific numerical values of (a); namely: determining a relational expression between the coke oven gas production and time of each hole carbonization chamber;
(4) correcting the upper limit t of the X-axis variable according to the actual coking time n Correcting the upper limit Y of the Y-axis variable according to the actual coal composition n According to the actual temperature of the vertical flue 1 ～k n And b 1 ～b n 。
Step four, calculating a model according to the coke pushing time and the coke oven gas generation amount of each carbonization chamber, wherein the gas generation curve of each carbonization chamber has displacement in time; therefore, from the angle of the coke oven, a certain time period is taken, the coke oven gas generation amount of each carbonization chamber in the time period is respectively calculated, and the sum of all data is the coke oven gas instantaneous generation amount of the coke oven;
the model for calculating the instantaneous generation of the coke oven gas of the coke oven is as follows:
the invention has the beneficial effects that: the method for predicting the coke oven gas generation amount of the iron and steel enterprise adopts a sub-total model to predict the coke oven gas generation amount, calculates the generation amount of the coke oven gas of each hole carbonization chamber in each time period according to the operation process of a coke oven according to the production reality of the coke oven, and then calculates the instantaneous generation amount of the coke oven gas at the corresponding time according to the corresponding time; the specific implementation method comprises four steps: collecting technological parameters, calculating the coke oven gas production of each carbonization chamber, establishing a coke oven gas production model of each carbonization chamber, and determining a coke oven gas instantaneous production calculation model of a coke oven. The method can calculate the coke oven gas production of the iron and steel enterprise in real time on line, help the iron and steel enterprise to more reasonably schedule energy, effectively solve the problems of substandard production and unreasonable rhythm caused by unclear coke oven gas production and disordered scheduling, provide reliable basis for the optimized scheduling of the coal gas of the iron and steel enterprise, and further improve the economic benefit of the enterprise.
Drawings
FIG. 1 is a schematic view of the flow of material in a coke oven.
FIG. 2 is a schematic representation of the production rhythm of a coke oven.
FIG. 3 is a general concept diagram of the coke oven gas split-total of the present invention.
FIG. 4 is a block diagram of the calculation steps of the instantaneous coke oven gas generation amount according to the present invention.
FIG. 5 is a block diagram illustrating the process of establishing the relationship between the amount of coke oven gas generated and the time according to the present invention.
FIG. 6 is a schematic diagram for calculating the instantaneous coke oven gas generation amount in the coke oven according to the present invention.
Detailed Description
In order to predict the coke oven gas generation amount of the iron and steel enterprise in real time and provide reliable basis for the optimized gas scheduling of the iron and steel enterprise, the invention provides a prediction method of the coke oven gas generation amount of the iron and steel enterprise, the method adopts a sub-total model to predict the coke oven gas generation amount, and the specific implementation method comprises the following steps: collecting technological parameters, calculating the coke oven gas production of each carbonization chamber, establishing a coke oven gas production model of each carbonization chamber, and determining a coke oven gas instantaneous production calculation model of a coke oven; the method can predict the coke oven gas production of the iron and steel enterprises in real time, and provide reliable basis for the optimized gas scheduling of the iron and steel enterprises.
The coke oven gas is a gasified substance generated in the coking process of coal, and is a gas fuel obtained through a series of purification processes, and the production condition of the coke oven gas is reflected by the production rhythm of the coke oven because the production amount of the coke oven gas depends on the production rhythm of the coke oven. Taking a coke oven with 110 holes as an example, the production rhythm of the coke oven is described. The material flow in the coke oven is shown in figure 1, coal is put into the coke oven, coke is generated after a coking period, raw coke gas is generated in real time in the coking period, and the raw coke gas passes through a purification device to obtain chemical products (benzene, ammonia, sulfur, tar and the like) and coke oven gas. The coking cycle is comprehensively influenced by a plurality of conditions such as coke oven model, coal composition, coke oven operation, production rhythm and the like.
The production rhythm of the coking chambers with holes of the coke oven is shown in figure 2. And (3) finishing coal charging in the 110# carbonization chamber and entering a coking period, starting coke pushing in the 1# carbonization chamber, and keeping the rest 108-hole carbonization chambers in coking. After the time T, the coal charging of the No. 1 coking chamber is finished and the coking period is entered, the coke pushing of the No. 2 coking chamber is started, and the rest 108 coking chambers are in coking. After the time T again, the 2# carbonization chamber finishes coal charging and enters a coking period, the 3# carbonization chamber starts coke pushing, and the other 108-hole carbonization chambers are in coking. The production of the 110-hole carbonization chamber is carried out in this order and is circulated repeatedly. Because the actual coking time of each coking chamber is basically consistent under normal conditions, the coke oven gas generation rule trends of each coking chamber are consistent. It should be noted that in fig. 2, the time T is affected by the automation level of the coke oven related equipment and the coke coking condition of the coke, the coke pushing sequence is different from the actual sequence, and the coke pushing rhythm is consistent with the actual sequence number of the coke pushing sequence.
The invention adopts a general model concept, calculates the generated quantity of the coke oven gas of the 110-hole carbonization chamber in each time period according to the operation process of the coke oven and the production reality of the coke oven, and then calculates the instantaneous generated quantity of the coke oven gas at the corresponding time according to the corresponding time, wherein the general concept diagram of the coke oven gas is shown in figure 3. The steps of calculating the instantaneous coke oven gas production are shown in fig. 4.
The specific steps of the present invention are explained in detail. The method for predicting the coke oven gas production of the iron and steel enterprise comprises the following steps:
step one, collecting process parameters of each carbonization chamber, comprising the following steps: the coal loading of the coking chamber, the yield of chemical products, the predicted coking time and the coke oven gas density.
And step two, calculating the coke oven gas generation amount of each carbonization chamber according to the acquired parameters.
Production characteristics of the coking plants are fully fused, and a calculation model of the coke oven gas generation amount of the single-hole coking chamber is established on the basis of combining the production characteristics of each coking plant. For example, the yield of chemical products (benzene, ammonia, sulfur, tar, etc.) is influenced by the coal composition, the processing capacity of the coke plant cleaning equipment, and coke oven operation index, and is calculated as the statistical average of chemical products per month.
The calculation model of the coke oven gas generation amount of the single-hole carbonization chamber comprises the following steps:
V coke oven gas ＝f(G Coal (coal) ,t Coking time ,K Benzene (III) ,K Ammonia ,K Sulfur ,K Tar oil ,ρ Coke oven gas )
In the formula: v Coke oven gas -coke oven gas production;
G coal (coal) -the loading of coal;
t coking time -a predicted coking time;
K benzene and its derivatives -benzene yield;
K ammonia -ammonia yield;
K sulfur -sulfur yield;
K tar oil -tar yield;
ρ coke oven gas -coke oven gas density.
After each hole of the coking chamber is filled with the coal material, field process personnel can make corresponding predicted coking time, coke pushing time and heating system according to the current production rhythm of the coke oven; and on the premise, after the loading amount of the coal in each hole of the coking chamber is determined, the coke oven gas generation amount can be calculated according to the corresponding predicted coking time, benzene yield, ammonia yield, sulfur yield, tar yield and coke oven gas density.
And step three, establishing a relation model of the coke oven gas generation amount and time of each carbonization chamber according to the generation rule and the historical numerical value of the coke oven gas.
The relationship between the coke oven gas generation amount and the time in the single-hole coking chamber is established as shown in FIG. 5. Firstly, determining a starting point and an end point which take coking time as an X axis and take coke oven gas generation amount as a Y axis, namely determining an X-axis variable range and a Y-axis variable range; secondly, drawing up a relational expression of the coke oven gas generation amount and time of the single-hole carbonization chamber based on the generation rule of the coke oven gas; then, the gas flow of each coking chamber corresponding to the specific moment is taken, and the coefficient of the relation between the coke oven gas generation amount of the single-hole coking chamber and the time is determined according to the historical measured value of the coke oven gas flow; and finally, collecting parameters of actual coking time, coal components and vertical flue temperature, and correcting a relational expression of coal gas generation quantity and time.
The specific relation is as follows:
(1) determining a starting point (t) 0 ,y 0 ) And end point (t) n ,y n ) Range of variable of X-axis t 0 ≤x≤t n Y-axis variable range Y 0 ≤y≤y n ；
(2) Determining a relational expression between the coke oven gas generation amount of the single-hole carbonization chamber and time;
(3) taking the coking time period t of the No. 1 coking chamber 0 ≤x 1# carbonization chamber ≤t 1 When the No. 1 coking chamber is in the coking time period (t) 0 ,t 1 ) Then, the other coking chambers are respectively in the following coking time periods: t is t n-1 ≤x 2# carbonization chamber ≤t n 、t n-2 ≤x 3# carbonization chamber ≤t n-1 、······、t 1 ≤x 110# carbonization chamber ≤t 2 . The coke oven gas flow calculation formula is as follows:
determining k according to the historical measurement value of the coke oven gas flow 1 ～k n And b 1 ～b n The specific numerical values of (a); namely: determining a relational expression between the coke oven gas production and time of each hole carbonization chamber;
(4) correcting the upper limit t of the X-axis variable according to the actual coking time n Correcting the upper limit Y of the Y-axis variable according to the actual coal composition n According to the actual temperature of the vertical flame path, the coefficient k is corrected 1 ～k n And b 1 ～b n 。
And step four, establishing a coke oven gas instantaneous generation quantity calculation model of the coke oven.
The instantaneous coke oven gas generation amount of the coke oven was calculated on the basis of the calculation model for determining the coke oven gas generation amount of each coking chamber, and the calculation principle is shown in fig. 6. In fig. 6, a # 1 coking chamber, a # 40 coking chamber and a # 80 coking chamber are taken as examples, the # 1 coking chamber records the coke oven gas generation amount from the beginning of coking, the # 40 coking chamber records the coke oven gas generation amount from the time of 2/3 of coking, and the # 80 coking chamber records the coke oven gas generation amount from the time of 1/3 of coking.
And (3) calculating a model according to the coke pushing time and the coke oven gas generation amount of each carbonization chamber, wherein the gas generation curve of each carbonization chamber has displacement in time. Therefore, from the perspective of the coke oven, a certain time period is taken, the coke oven gas generation amount of each carbonization chamber in the time period is respectively calculated, and the sum of all data is the coke oven gas instantaneous generation amount of the coke oven.
The model for calculating the instantaneous generation of the coke oven gas of the coke oven is as follows:
examples
Take a 110-hole coke oven in a steel mill as an example. Table 1 shows values of air dryer moisture, coal-drying ash-free volatile matter, benzene yield, hydration water yield, ammonia yield, sulfur yield, and coke oven gas density of coal.
TABLE 1 composition of coal and chemical product yield
| Parameter(s) | Numerical value |
| Coal air dryer moisture (%) | 10.45 |
| Coal drying ashless base volatiles (%) | 26.34 |
| Benzene yield (%) | 1.233 |
| Yield of hydration water (%) | 2.18 |
| Ammonia yield (%) | 1.634 |
| Sulfur yield (%) | 0.238 |
| Coke oven gas density (kg/Nm 3) | 0.455 |
The coal charge for a cycle of the 110-hole coking chamber is shown in table 2, where only the coal charge for a cycle is shown for simplicity.
TABLE 2 coal charge per hole coking chamber
| Number of holes | Coal quantity (t) | Number of holes | Coal amount (t) | Number of hole | Coal quantity (t) | Number of holes | Coal quantity (t) | Number of holes | Coal quantity (t) |
| 1 | 31.4 | 23 | 30.95 | 45 | 31.24 | 67 | 30.83 | 89 | 30.91 |
| 2 | 30.9 | 24 | 30.71 | 46 | 31.28 | 68 | 31.05 | 90 | 31.15 |
| 3 | 31.16 | 25 | 31.01 | 47 | 30.9 | 69 | 30.95 | 91 | 30.94 |
| 4 | 31.07 | 26 | 31.03 | 48 | 31.23 | 70 | 31.12 | 92 | 30.83 |
| 5 | 31.65 | 27 | 30.92 | 49 | 30.74 | 71 | 31.02 | 93 | 30.72 |
| 6 | 31.16 | 28 | 30.85 | 50 | 31.12 | 72 | 30.56 | 94 | 30.88 |
| 7 | 30.85 | 29 | 30.78 | 51 | 31.47 | 73 | 29.05 | 95 | 30.9 |
| 8 | 31.03 | 30 | 31.16 | 52 | 30.89 | 74 | 31.07 | 96 | 31.05 |
| 9 | 31.16 | 31 | 30.97 | 53 | 31.49 | 75 | 31.05 | 97 | 30.94 |
| 10 | 30.99 | 32 | 31.01 | 54 | 29.99 | 76 | 30.92 | 98 | 30.98 |
| 11 | 30.99 | 33 | 31.1 | 55 | 31.21 | 77 | 30.75 | 99 | 30.97 |
| 12 | 30.74 | 34 | 31.16 | 56 | 30.81 | 78 | 31.12 | 100 | 30.9 |
| 13 | 31.3 | 35 | 31.16 | 57 | 31.13 | 79 | 30.94 | 101 | 31.08 |
| 14 | 30.95 | 36 | 31.35 | 58 | 31.22 | 80 | 30.74 | 102 | 30.98 |
| 15 | 30.94 | 37 | 30.89 | 59 | 31.01 | 81 | 31.32 | 103 | 31.04 |
| 16 | 31.43 | 38 | 30.81 | 60 | 30.59 | 82 | 30.83 | 104 | 31.01 |
| 17 | 31.12 | 39 | 30.63 | 61 | 30.78 | 83 | 31.18 | 105 | 31.1 |
| 18 | 31.08 | 40 | 31.18 | 62 | 30.97 | 84 | 31.11 | 106 | 30.82 |
| 19 | 30.9 | 41 | 31.05 | 63 | 31.18 | 85 | 31.15 | 107 | 30.41 |
| 20 | 31.2 | 42 | 30.7 | 64 | 30.86 | 86 | 30.77 | 108 | 31.01 |
| 21 | 30.9 | 43 | 31.15 | 65 | 30.81 | 87 | 30.96 | 109 | 30.89 |
| 22 | 30.92 | 44 | 30.71 | 66 | 30.98 | 88 | 31.02 | 110 | 30.53 |
Table 3 shows the coke oven gas generation rate of each 110-hole coking chamber during 1/4 cycle of coking.
TABLE 3 Coke oven gas generation rates for each coking chamber at 1/4 coking cycle
Table 4 lists the coke oven gas production rates for each 110-hole coking chamber at 1/2 cycle of coking.
TABLE 4 Coke oven gas instantaneous generation rate of each coking chamber at 1/2 coking cycle
Table 5 lists the coke oven gas production rates for each of the 110-hole chambers at 3/4 cycle coking.
TABLE 5 Coke oven gas instantaneous generation rate of each coking chamber at 3/4 coking cycle
Table 6 lists the theoretical value and the measured value of the total rate of coke oven gas generation when the coke oven is in the coking 1/4 period, the coking 1/2 period and the coking 3/4 period, and the error between the theoretical value and the measured value is calculated to be within +/-2 percent.
TABLE 6 comparison of theoretical values with measured values
Claims (5)
1. A method for predicting the coke oven gas generation amount of a steel enterprise is characterized by comprising the following steps:
step one, collecting technological parameters of each carbonization chamber, comprising the following steps: coal loading of the coking chamber, chemical product yield, estimated coking time and coke oven gas density;
step two, calculating the coke oven gas production of each carbonization chamber according to the acquired parameters;
step three, establishing a relation model of the coke oven gas generation amount and time of each carbonization chamber according to the generation rule and the historical numerical value of the coke oven gas;
and step four, establishing a coke oven gas instantaneous generation quantity calculation model of the coke oven.
2. The method for predicting the coke oven gas production of the iron and steel enterprise according to claim 1, wherein the method comprises the following steps: and step two, fully fusing the production characteristics of the coke-oven plants, and establishing a calculation model of the coke oven gas production of the single-hole carbonization chamber on the basis of combining the production characteristics of each coke-oven plant as follows:
V coke oven gas ＝f(G Coal (coal) ,t Coking time ,K Benzene (III) ,K Ammonia ,K Sulfur ,K Tar oil ,ρ Coke oven gas )
In the formula: v Coke oven gas -coke oven gas production;
G coal (coal) -the loading of coal;
t coking time -a predicted coking time;
K benzene and its derivatives -benzene yield;
K ammonia -ammonia yield;
K sulfur -sulfur yield;
K tar oil -tar yield;
ρ coke oven gas -coke oven gas density;
after each hole of the coking chamber is filled with coal, field process personnel can make corresponding predicted coking time, coke pushing time and heating system according to the current production rhythm of the coke oven; and on the premise, after the coal charging amount of each hole of the coking chamber is determined, the coke oven gas generation amount can be calculated according to the corresponding predicted coking time, the benzene yield, the ammonia yield, the sulfur yield, the tar yield and the coke oven gas density.
3. The method for predicting the coke oven gas production of the iron and steel enterprise according to claim 1, wherein the method comprises the following steps: in the process of establishing the relation between the coke oven gas generation amount of the single-hole carbonization chamber and the time, firstly, determining a starting point and an end point which take the coking time as an X axis and the coke oven gas generation amount as a Y axis, namely determining an X-axis variable range and a Y-axis variable range; secondly, drawing up a relational expression of the coke oven gas generation amount and time of the single-hole carbonization chamber based on the generation rule of the coke oven gas; then, the gas flow of each coking chamber corresponding to the specific moment is taken, and the relational coefficient of the coke oven gas generation amount of the single-hole coking chamber and the time is determined according to the historical actual measurement value of the coke oven gas flow; and finally, collecting parameters of actual coking time, coal components and vertical flue temperature, and correcting a relational expression of coal gas generation quantity and time.
4. The method for predicting the coke oven gas production of the iron and steel enterprise according to claim 3, wherein the method comprises the following steps: the specific relation is as follows:
(1) determining a starting point (t) 0 ,y 0 ) And end point (t) n ,y n ) X-axis variable range t 0 ≤x≤t n Y-axis variable range Y 0 ≤y≤y n ；
(2) Determining a relational expression of the coke oven gas generation amount and the time of the single-hole carbonization chamber;
(3) taking the coking time period t of the No. 1 coking chamber 0 ≤x 1# carbonization chamber ≤t 1 When the No. 1 coking chamber is in the coking time period (t) 0 ,t 1 ) In the process, other carbonization chambers are respectively in the following coking time periods: t is t n-1 ≤x 2# carbonization chamber ≤t n 、t n-2 ≤x 3# carbonization chamber ≤t n-1 、······、t 1 ≤x 110# carbonization chamber ≤t 2 (ii) a The coke oven gas flow calculation formula is as follows:
determining k according to the historical measurement value of the coke oven gas flow 1 ～k n And b 1 ～b n The specific numerical values of (a); namely: determining a relational expression of the coke oven gas production and time of each hole carbonization chamber;
(4) correcting X-axis variable upper limit t according to actual coking time n Correcting the upper limit Y of the Y-axis variable according to the actual coal composition n According to the actual temperature of the vertical flame path, the coefficient k is corrected 1 ～k n And b 1 ～b n 。
5. The method for predicting the coke oven gas production of the iron and steel enterprise according to claim 1, wherein the method comprises the following steps: calculating a model according to the coke pushing time and the coke oven gas generation amount of each carbonization chamber, wherein the gas generation curve of each carbonization chamber has displacement in time; therefore, from the angle of the coke oven, a certain time period is taken, the coke oven gas generation amount of each carbonization chamber in the time period is respectively calculated, and the sum of all data is the coke oven gas instantaneous generation amount of the coke oven;
the model for calculating the instantaneous generation of the coke oven gas of the coke oven is as follows:
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