Method for judging abnormal change of coke particle size in blast furnace ironmaking production process
By calculating and analyzing the coke dicing rate data of the blast furnace screening system and using the probability density function of the normal distribution to judge the abnormal coke particle size, the problems of low efficiency and poor real-time performance of the traditional method are solved, and the efficient identification of coke particle size abnormalities and the stability of blast furnace production are achieved.
Patent Information
- Application Number
- CN202510704365.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-29
- Publication Date
- 2025-09-09
AI Technical Summary
Traditional coke particle size detection methods rely on manual sampling and screening, which are inefficient and cannot achieve real-time monitoring. As a result, abnormal changes in coke particle size are not discovered in a timely manner, affecting blast furnace operation and production safety.
By selecting the butyl coke ratio and coke ratio data of the blast furnace screening system during normal operation, the butyl coke rate is calculated, and descriptive statistics and normal distribution verification are performed. The probability density function of the normal distribution is used to determine whether the coke particle size is abnormal.
It achieves efficient and accurate identification of abnormal changes in coke particle size, ensures the stability and safety of blast furnace ironmaking production, and improves the automation and intelligence level of ironmaking production.
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Figure CN120608178A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of blast furnace ironmaking, and in particular to a method and system for judging abnormal changes in coke particle size in a blast furnace ironmaking production process. Background Art
[0002] In the metallurgical industry, coke is a key raw material for blast furnace ironmaking, and its quality directly impacts the stable operation of the blast furnace and ironmaking efficiency. Coke particle size distribution is a key quality indicator. Coke of different particle sizes exhibits significant differences in permeability, combustion rate, and mechanical properties within the furnace, directly impacting the airflow distribution within the furnace and the uniformity of the reduction reaction.
[0003] Traditional coke particle size detection relies on manual sampling and screening analysis. This method is time-consuming, inefficient, and incapable of real-time monitoring and early warning of abnormal coke particle size changes. Abnormal coke particle size can be caused by a variety of reasons, including coke breakage, uneven mixing, or changes in storage conditions. If not detected in time, it can easily lead to abnormal blast furnace operating parameters and even production accidents, resulting in energy waste and economic losses.
[0004] Therefore, there is an urgent need for an efficient, accurate and real-time method to monitor the changes in coke particle size, so as to timely judge the abnormal changes in coke particle size, ensure the safety and stability of blast furnace production, and improve the automation and intelligence level of ironmaking production. Summary of the Invention
[0005] To solve the above problems, an object of the embodiments of the present invention is to provide a method and system for determining abnormal changes in coke particle size in a blast furnace ironmaking production process.
[0006] A method for determining abnormal changes in coke particle size in a blast furnace ironmaking process comprises:
[0007] Step 1: Select the data of the butyl coke ratio and coke ratio of the blast furnace screening system within a preset number of days when the blast furnace screening system is in normal operation;
[0008] Step 2: Calculate the coke brittle rate using the coke brittle ratio and coke ratio data;
[0009] Step 3: Conduct descriptive statistics and normal distribution verification on the focus rate;
[0010] Step 4: When the distribution of the coke dicing rate is normal, use the probability density function of the normal distribution to determine whether the particle size of the coke entering the furnace is abnormal.
[0011] Preferably, the step 2: calculating the butyl coke rate using the in-furnace butyl coke ratio and coke ratio data, comprises:
[0012] The ratio of the daily diced coke ratio to the coke ratio is taken as the diced coke rate.
[0013] Preferably, the step 4: when the distribution law of the coke dicing rate is a normal distribution, using the probability density function of the normal distribution to determine whether the particle size of the coke entering the furnace is abnormal includes:
[0014] Calculate the probability density function of normal distribution according to the distribution law of coke rate;
[0015] Based on the probability density function of the normal distribution, the values when the left and right tails have a probability of 5% are calculated as the upper and lower limits of normal operation;
[0016] When the coke briquettes exceed the upper and lower limits of normal operation, the particle size of the coke entering the furnace becomes abnormal.
[0017] Preferably, when the coke dice rate exceeds the upper limit, the number of coke dices <22.5 mm increases abnormally; when the coke dice rate exceeds the lower limit, the number of coke dices <22.5 mm decreases abnormally.
[0018] The present invention also provides a system for determining abnormal changes in coke particle size in a blast furnace ironmaking production process, comprising:
[0019] The data acquisition module is used to select the data of the butyl coke ratio and coke ratio of the blast furnace screening system within a preset number of days when the blast furnace screening system is in normal operation;
[0020] The diced coke rate calculation module is used to calculate the diced coke rate using the furnace feeding diced coke rate and coke ratio data;
[0021] Statistics module, used to perform descriptive statistics and normal distribution verification on the focus rate;
[0022] The abnormality judgment module uses the probability density function of the normal distribution to judge whether the particle size of the coke entering the furnace is abnormal when the distribution law of the coke dicing rate is normal distribution.
[0023] Preferably, in the diced coke rate calculation module, the ratio of the daily diced coke ratio to the coke ratio is used as the diced coke rate.
[0024] Preferably, the abnormality judgment module includes:
[0025] Calculate the probability density function of normal distribution according to the distribution law of coke rate;
[0026] Based on the probability density function of the normal distribution, the values when the left and right tails have a probability of 5% are calculated as the upper and lower limits of normal operation;
[0027] When the coke briquettes exceed the upper and lower limits of normal operation, the particle size of the coke entering the furnace becomes abnormal.
[0028] Preferably, when the coke dice rate exceeds the upper limit, the number of coke dices <22.5 mm increases abnormally; when the coke dice rate exceeds the lower limit, the number of coke dices <22.5 mm decreases abnormally.
[0029] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:
[0030] The present invention relates to a method for judging abnormal changes in coke particle size in a blast furnace ironmaking production process. Compared with the existing technology, the present invention combines statistical verification with a probability model to achieve objective, accurate and efficient identification of coke particle size anomalies, providing a scientific basis for the stability and optimization of the blast furnace ironmaking process.
[0031] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0033] Figure 1 A flow chart of a method for determining abnormal changes in coke particle size in a blast furnace ironmaking production process provided by the present invention;
[0034] Figure 2 This is a schematic diagram of the normal distribution of the coke rate provided by the present invention;
[0035] Figure 3 This is the operation monitoring diagram provided by the present invention. DETAILED DESCRIPTION
[0036] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like to indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.
[0037] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature identified as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.
[0038] In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "connect," "fixed," etc. should be understood broadly. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediary; or internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.
[0039] See also Figure 1 A method for determining abnormal changes in coke particle size in a blast furnace ironmaking process comprises:
[0040] Step 1: Select the data of the butyl coke ratio and coke ratio of the blast furnace screening system within a preset number of days when the blast furnace screening system is in normal operation;
[0041] In actual production activities, diced coke refers to small pieces of coke with a particle size of <22.5mm and >10mm after screening of finished coke; and coke refers to coke with a particle size ≥22.5mm after screening.
[0042] The diced coke ratio is the ratio of the weight of each batch of diced coke to the amount of molten iron generated from each batch of ore. The coke ratio is the ratio of the weight of each batch of coke to the amount of molten iron generated from each batch of ore. The main parameter monitored in this patent is the diced coke rate, which is the ratio of the daily diced coke rate to the coke ratio. It reflects the ratio of diced coke (<22.5mm and >10mm) in the finished coke delivered to the blast furnace to the incoming coke (≥22.5mm). If this ratio increases, it reflects an increase in small-particle coke, a decrease in coke particle size, and a decrease in blast furnace permeability.
[0043] Step 2: Calculate the coke brittle rate using the coke brittle ratio and coke ratio data;
[0044] The diced coke ratio is the ratio of the weight of each batch of diced coke to the amount of molten iron generated from each batch of ore; the coke ratio is the ratio of the weight of each batch of coke to the amount of molten iron generated from each batch of ore. The main parameter monitored in the present invention is the diced coke rate, which is the ratio of the daily diced coke ratio to the coke ratio. It reflects the ratio of diced coke (<22.5mm and >10mm) in the finished coke delivered to the blast furnace to the incoming coke (≥22.5mm). If this ratio increases, it reflects an increase in small-particle coke, a deterioration in coke particle size, and a loss in blast furnace permeability.
[0045] Step 3: Conduct descriptive statistics and normal distribution verification on the focus rate;
[0046] Step 4: When the distribution of the coke dicing rate is normal, use the probability density function of the normal distribution to determine whether the particle size of the coke entering the furnace is abnormal.
[0047] In step 4, it includes:
[0048] Step 4.1: Calculate the probability density function of the normal distribution based on the distribution law of the coke rate;
[0049] Step 4.2: Based on the probability density function of the normal distribution, calculate the values when the left and right tails have a probability of 5% as the upper and lower limits of normal operation;
[0050] Step 4.3: When the coke briquettes rate exceeds the upper and lower limits of normal operation, the particle size of the coke entering the furnace becomes abnormal.
[0051] Furthermore, when the coke dicing rate exceeds the upper limit, the number of coke dices <22.5 mm increases abnormally; when the coke dicing rate exceeds the lower limit, the number of coke dices <22.5 mm decreases abnormally.
[0052] The present invention will be further described below with reference to specific embodiments:
[0053] like Figure 2 As shown in the figure, descriptive statistics and the Anderson-Darling normality test were performed on the collected data on the diced coke rate, with a P value of 0.177 > 0.05. The descriptive statistics and the P value of the normality test indicate that the diced coke rate is normally distributed with a mean of 0.1107 and a standard deviation of 0.006289.
[0054] According to the probability density function of the normal distribution, it is calculated that under normal conditions, the coke rate of 90% is distributed between 0.1004 (10.04%) and 0.1210 (12.10%), and the operating range is a symmetrical distribution area with the mean as the symmetry axis. The above area (10.04%-12.10%) is defined as the normal operating area of the coke rate.
[0055] The coke rate during normal production operation is plotted on the graph with the normal operating limit, such as Figure 3 shown.
[0056] From the following operation monitoring diagram, we can see:
[0057] (1) From the operation monitoring chart, it can be seen that the coke dicing rate exceeds the lower limit at 5, 6 and 14 o'clock. At this time, the number of coke dicing is small. The coke screen needs to be checked to prevent the screen from being blocked, which leads to a decrease in screening efficiency. The coke dicing is not fully screened out and enters the normal coke, which deteriorates the actual particle size of the coke entering the furnace. If there is no problem with the screen, the coke particle size is good.
[0058] (2) As can be seen from point 29 of the operation diagram, the coke dicing rate at this hour exceeds the upper limit of the 90% operation area, indicating that there is a lot of undersize on the coke screen. It is necessary to check whether there are any broken parts on the screen that cause larger coke particles to enter the undersize. If there are no such problems, the coke particle size is not good and the blast furnace operation needs to be paid close attention.
[0059] The present invention also provides a system for determining abnormal changes in coke particle size in a blast furnace ironmaking production process, comprising:
[0060] The data acquisition module is used to select the data of the butyl coke ratio and coke ratio of the blast furnace screening system within a preset number of days when the blast furnace screening system is in normal operation;
[0061] The diced coke rate calculation module is used to calculate the diced coke rate using the furnace feeding diced coke rate and coke ratio data;
[0062] Statistics module, used to perform descriptive statistics and normal distribution verification on the focus rate;
[0063] The abnormality judgment module uses the probability density function of the normal distribution to judge whether the particle size of the coke entering the furnace is abnormal when the distribution law of the coke dicing rate is normal distribution.
[0064] Preferably, in the diced coke rate calculation module, the ratio of the daily diced coke ratio to the coke ratio is used as the diced coke rate.
[0065] Preferably, the abnormality judgment module includes:
[0066] Calculate the probability density function of normal distribution according to the distribution law of coke rate;
[0067] Based on the probability density function of the normal distribution, the values when the left and right tails have a probability of 5% are calculated as the upper and lower limits of normal operation;
[0068] When the coke briquettes exceed the upper and lower limits of normal operation, the particle size of the coke entering the furnace becomes abnormal.
[0069] Preferably, when the coke dice rate exceeds the upper limit, the number of coke dices <22.5 mm increases abnormally; when the coke dice rate exceeds the lower limit, the number of coke dices <22.5 mm decreases abnormally.
[0070] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:
[0071] The present invention relates to a method for judging abnormal changes in coke particle size in a blast furnace ironmaking production process. Compared with the existing technology, the present invention combines statistical verification with a probability model to achieve objective, accurate and efficient identification of coke particle size anomalies, providing a scientific basis for the stability and optimization of the blast furnace ironmaking process.
[0072] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technical solution that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.
Claims
1. A method for determining abnormal changes in coke particle size in a blast furnace ironmaking process, characterized in that: include: Step 1: Select the data of the butyl coke ratio and coke ratio of the blast furnace screening system within a preset number of days when the blast furnace screening system is in normal operation; Step 2: Calculate the coke brittle rate using the coke brittle ratio and coke ratio data; Step 3: Conduct descriptive statistics and normal distribution verification on the focus rate; Step 4: When the distribution of the coke dicing rate is normal, use the probability density function of the normal distribution to determine whether the particle size of the coke entering the furnace is abnormal.
2. The method for determining abnormal changes in coke particle size in a blast furnace ironmaking process according to claim 1, wherein: The step 2: calculating the butyl coke rate using the in-furnace butyl coke ratio and coke ratio data, comprises: The ratio of the daily diced coke ratio to the coke ratio is taken as the diced coke rate.
3. The method for determining abnormal changes in coke particle size in a blast furnace ironmaking process according to claim 2, wherein: Step 4: When the distribution law of the coke dicing rate is normal distribution, using the probability density function of the normal distribution to determine whether the particle size of the coke entering the furnace is abnormal, including: Calculate the probability density function of normal distribution according to the distribution law of coke rate; Based on the probability density function of the normal distribution, the values when the left and right tails have a probability of 5% are calculated as the upper and lower limits of normal operation; When the coke briquettes exceed the upper and lower limits of normal operation, the particle size of the coke entering the furnace becomes abnormal.
4. The method for determining abnormal changes in coke particle size in a blast furnace ironmaking process according to claim 3, wherein: When the coke dice rate exceeds the upper limit, the number of coke dices <22.5mm increases abnormally; when the coke dice rate exceeds the lower limit, the number of coke dices <22.5mm decreases abnormally.
5. A system for determining abnormal changes in coke particle size in a blast furnace ironmaking process, comprising: The data acquisition module is used to select the data of the butyl coke ratio and coke ratio of the blast furnace screening system within a preset number of days when the blast furnace screening system is in normal operation; The diced coke rate calculation module is used to calculate the diced coke rate using the furnace feeding diced coke rate and coke ratio data; Statistics module, used to perform descriptive statistics and normal distribution verification on the focus rate; The abnormality judgment module uses the probability density function of the normal distribution to judge whether the particle size of the coke entering the furnace is abnormal when the distribution law of the coke dicing rate is normal distribution.
6. The system for determining abnormal changes in coke particle size in a blast furnace ironmaking process according to claim 5, characterized in that: In the diced coke rate calculation module, the ratio of the daily diced coke ratio to the coke ratio is used as the diced coke rate.
7. The system for determining abnormal changes in coke particle size in a blast furnace ironmaking process according to claim 6, characterized in that: The abnormality judgment module includes: Calculate the probability density function of normal distribution according to the distribution law of coke rate; Based on the probability density function of the normal distribution, the values when the left and right tails have a probability of 5% are calculated as the upper and lower limits of normal operation; When the coke briquettes exceed the upper and lower limits of normal operation, the particle size of the coke entering the furnace becomes abnormal.
8. The system for determining abnormal changes in coke particle size in a blast furnace ironmaking process according to claim 7, wherein: When the coke dice rate exceeds the upper limit, the number of coke dices <22.5mm increases abnormally; when the coke dice rate exceeds the lower limit, the number of coke dices <22.5mm decreases abnormally.