Method for judging whether coke particle size is normal or not by using material distribution parameters

Abstract

The invention relates to a method for judging whether the particle size of coke is normal or not by using material distribution parameters, which belongs to the technical field of blast furnace ironmaking and comprises the following steps: collecting the weight of coke, top pressure, the opening degree of a throttle valve and corresponding material distribution time when the particle size of the coke is normal in the blast furnace ironmaking process; carrying out normality verification and descriptive statistics on the distribution time data under the combination of the preset batch weight and the preset top pressure; when the distribution time data corresponding to the preset batch weight and the preset top pressure combination conform to normal distribution, determining a distribution time normal state operation range by using a probability density function of the normal distribution; when the distribution time exceeds the upper and lower limits, the coke particle size is abnormal. According to the method, the distribution time data is subjected to normality test, and the normal state operation range of the distribution time is determined according to normal distribution characteristics, so that effective early warning on the abnormal condition of the coke particle size is realized.

Description

Technical Field

[0001] This invention relates to the field of blast furnace ironmaking technology, and in particular to a method for determining whether the coke particle size is normal using feeding parameters. Background Technology

[0002] In the blast furnace ironmaking process, coke plays a crucial role, and coke particle size, as an important physical indicator of coke, has a profound impact on the efficient operation and production benefits of blast furnace ironmaking.

[0003] With the rapid development of the steel industry, blast furnace ironmaking is moving towards larger scale and higher efficiency. Coke, as an indispensable raw material in blast furnace ironmaking, not only provides heat but also acts as a reducing agent and structural support. Appropriate coke particle size ensures good permeability within the blast furnace. If the particle size is too large, the porosity between coke particles increases, leading to uneven burden distribution, unstable gas flow, and impaired heat transfer. Conversely, if the particle size is too small, the permeability of the burden column deteriorates, increasing resistance to gas flow, causing increased pressure within the furnace, and potentially even leading to accidents such as burden suspension.

[0004] In the context of fierce competition in the current steel market and increasingly stringent requirements for energy conservation and emission reduction, close monitoring of coke particle size during daily operations plays a crucial role in the stability, smooth operation, economy, and low consumption of the blast furnace ironmaking process. However, coke particles are large and non-uniform, requiring a large number of samples to ensure representativeness when using manual sampling. Since blast furnace ironmaking is a continuous production process, sufficient sampling time is often limited. This results in some blast furnaces without automatic sampling systems struggling to monitor changes in the actual coke particle size. Summary of the Invention

[0005] To address the aforementioned problems, the purpose of this invention is to provide a method for determining whether coke particle size is normal using fabric parameters.

[0006] A method for determining whether coke particle size is normal using fabric parameters includes:

[0007] Step 1: Collect data on coke batch weight, top pressure, throttle valve opening, and corresponding charging time during the blast furnace ironmaking process when the coke particle size is normal.

[0008] Step 2: Remove the coke batch weight, top pressure, and throttle valve opening that are outside the set range as abnormal data to obtain the coke batch weight, top pressure, throttle valve opening and corresponding material feeding time after removing abnormal data.

[0009] Step 3: Perform normality verification and descriptive statistics on the fabric time data under preset batch weight and preset top pressure combinations;

[0010] Step 4: When the fabric time data corresponding to the preset batch weight and preset top pressure combination conforms to a normal distribution, the probability density function of the normal distribution is used to determine the normal operating range of the fabric time.

[0011] Step 5: When the fabric feeding time exceeds the upper and lower limits, the coke particle size is abnormal.

[0012] Preferably, in step 3, if the fabric time data corresponding to the preset batch weight and preset top pressure combination does not conform to a normal distribution, step 2 is executed again.

[0013] Preferably, in step 4, the probability density function of the normal distribution is:

[0014]

[0015] Where σ represents the standard deviation, μ represents the mean, and σ 2 Indicates variance.

[0016] Preferably, in step 4, the values ​​at which the two tails have a 5% probability are calculated using the probability density function of a normal distribution as the normal operating range of the fabric time.

[0017] Preferably, if the feeding time is continuously less than the lower limit, it indicates that the coke particles are too small; if the feeding time exceeds the upper limit, it indicates that the particle size is too large.

[0018] The present invention also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, characterized in that the computer program, when executed by the processor, implements the steps in the above-described method for determining whether coke particle size is normal using fabric parameters.

[0019] The present invention also provides a computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps in the above-described method for determining whether the coke particle size is normal using fabric parameters.

[0020] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0021] This invention relates to a method for determining whether coke particle size is normal using fabric parameters. Compared with the prior art, this invention performs a normality test on fabric time data and determines the normal operating range of fabric time based on the normal distribution characteristics, thereby achieving effective early warning of abnormal coke particle size.

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 Descriptive statistical results and normality test plots provided for this invention;

[0025] Figure 2 The throttle valve opening distribution diagram provided by the present invention;

[0026] Figure 3 The fabric time distribution diagram provided by this invention;

[0027] Figure 4 The fabric time monitoring chart provided by this invention. Detailed Implementation

[0028] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0029] 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 technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0030] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0031] Please see Figure 1-4 A method for determining whether coke particle size is normal using fabric parameters includes:

[0032] Step 1: Collect data on coke batch weight, top pressure, throttle valve opening, and corresponding charging time during the blast furnace ironmaking process when the coke particle size is normal.

[0033] Step 2: Remove the coke batch weight, top pressure, and throttle valve opening that are outside the set range as abnormal data to obtain the coke batch weight, top pressure, throttle valve opening and corresponding material feeding time after removing abnormal data.

[0034] Data showing significant changes in batch weight during periods of abnormal furnace conditions, as well as data generated during periods of abnormal top pressure or when the throttle valve exceeds its normal range due to human error, are not of reference value and should be discarded.

[0035] Step 3: Perform normality verification and descriptive statistics on the fabric feeding time data under preset batch weight and preset top pressure combinations; establish a fabric feeding data model within commonly used batch weight and combination intervals using the normal distribution. Data from at least 30 commonly used intervals must be collected.

[0036] In step 3, if the fabric time data corresponding to the preset batch weight and preset top pressure combination does not conform to a normal distribution, step 2 is executed again.

[0037] Step 4: When the fabric time data corresponding to the preset batch weight and preset top pressure combination conforms to a normal distribution, the probability density function of the normal distribution is used to determine the normal operating range of the fabric time.

[0038] The criteria for judging abnormal distributions are determined based on the distribution patterns of operational data. A normal throttle valve opening range and the corresponding material distribution time range are established. Under the premise that the material distribution equipment structure remains unchanged and the coke particle size does not change abnormally within a certain batch weight and top pressure range, the material distribution time is mainly related to the throttle valve opening. Within a sufficiently narrow range of coke batch weight and top pressure distributions, the corresponding material distribution time follows a normal distribution when the throttle valve operates normally. The probability density function of the normal distribution is used to calculate the values ​​with a 5% probability for each tail, which are taken as the normal operating range of the material distribution time. The probability density function of the normal distribution (also known as the Gaussian distribution) describes the symmetrical distribution of material distribution time data around the mean. Its formula is as follows:

[0039]

[0040] Where σ represents the standard deviation, μ represents the mean, and σ 2 Indicates variance.

[0041] If a non-normal state occurs, it indicates the presence of abnormal production data, especially if there has been a change in coke particle size or a problem with the throttle valve adjustment. In this case, step 2 needs to be repeated.

[0042] If the feeding time exceeds the upper or lower limits, or if the coke particle size remains unilaterally distributed above or below the median value for an extended period, then a change in coke particle size has occurred. If the throttling valve is functioning normally but the feeding time is consistently less than the lower limit, it indicates that the coke particle size is significantly smaller than normal. If it remains consistently below the median limit but within the lower limit, it indicates that the particle size is small but not severely so. If the feeding time is long and exceeds the upper limit, it indicates that the particle size is large and quite severe. If it remains consistently greater than the median limit but within the upper limit, it indicates that the particle size is large but not severely so.

[0043] The following specific embodiments further illustrate a method for determining whether coke particle size is normal using fabric parameters according to the present invention:

[0044] A. Compile statistics on coke batch weight and top pressure data during normal production. Stratify the data based on cross-referencing, ensuring the intervals are not too wide, otherwise the accuracy of the analysis will be reduced.

[0045] Table 1

[0046]

[0047]

[0048] As shown in Table 1, the data collected from this blast furnace mainly focuses on coke batch weight and corresponding top pressure range, with the most data concentrated between 26.9t coke batch weight and 0.246-0.251 MPa top pressure. This range was chosen as the target for analysis. Therefore, descriptive statistics and Anderson-darling normality tests were performed on the coke throttling valve opening and charging time within this batch weight and top pressure range. The results showed P-values ​​of 0.601 and 0.083, both greater than 0.05, indicating that both the charging time and throttling valve opening are normally distributed.

[0049] like Figure 1 As shown, the descriptive statistics and the p-value of the normality test indicate that the distribution of the throttle valve opening data for a coke batch weight of 26.9t and a top pressure between 0.246 and 0.251 MPa is a normal distribution with a mean of 19.12 and a standard deviation of 0.1979. The corresponding material distribution time is a normal distribution with a mean of 146.3 and a standard deviation of 1.503.

[0050] B, such as Figure 2-3 As shown, based on the probability density function of the normal distribution, within the aforementioned range of coke batch weight and top pressure, the throttle valve opening at 90% is distributed between 18.79 and 19.45, and the operating range is a symmetrical distribution area with the mean of 19.12 as the axis of symmetry. This area (18.79-19.45) is defined as the normal operating range of the throttle valve opening. Correspondingly, the material placement time at 90% is distributed between 143.8 and 148.8, and the operating range is a symmetrical distribution area with the mean of 146.3 as the axis of symmetry. This area (143.8-148.8) is defined as the normal distribution range of material placement time under the normal premise of the throttle valve opening. The material placement time operation diagram uses 143.8 and 148.8 as the upper and lower limits of the operation diagram, and 146.3 as the middle limit.

[0051] C. Record the material feeding time when the throttle valve is controlled within the normal range during operation of the coke batch and top pressure, and plot the points on the material feeding time operation monitoring chart.

[0052] D. Abnormal Warning:

[0053] From the following run Figure 4 As can be seen: At point 26, a phenomenon of normal throttle valve opening but long feeding time occurs, indicating a risk of increased particle size. However, if the throttle valve opens normally and the feeding time is normal for the next batch of coke, it indicates that the coke particle size is normal. Starting at point 35, a phenomenon of normal throttle valve opening but short feeding time occurs, indicating a risk of smaller particle size. Subsequent feeding shows a continuous phenomenon of normal throttle valve opening but feeding time below the lower limit, indicating that the coke particle size has clearly decreased.

[0054] The present invention also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are connected via the bus. The computer program, when executed by the processor, implements the steps in the aforementioned method for determining whether coke particle size is normal using fabric parameters. Compared with the prior art, the beneficial effects of the electronic device provided by the present invention are the same as those of the method for determining whether coke particle size is normal using fabric parameters described above, and will not be elaborated upon here.

[0055] The present invention also provides a computer-readable storage medium storing a computer program thereon, characterized in that, when the computer program is executed by a processor, it implements the steps in the above-described method for determining whether the coke particle size is normal using fabric parameters. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present invention are the same as the beneficial effects of the method for determining whether the coke particle size is normal using fabric parameters described in the above-described technical solution, and will not be repeated here.

[0056] 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 variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for determining whether coke particle size is normal using fabric parameters, characterized in that, include: Step 1: Collect data on coke batch weight, top pressure, throttle valve opening, and corresponding charging time during the blast furnace ironmaking process when the coke particle size is normal. Step 2: Remove the coke batch weight, top pressure, and throttle valve opening that are outside the set range as abnormal data to obtain the coke batch weight, top pressure, throttle valve opening and corresponding material feeding time after removing abnormal data. Step 3: Perform normality verification and descriptive statistics on the fabric time data under preset batch weight and preset top pressure combinations; Step 4: When the fabric time data corresponding to the preset batch weight and preset top pressure combination conforms to a normal distribution, the probability density function of the normal distribution is used to determine the normal operating range of the fabric time. Step 5: When the fabric feeding time exceeds the upper and lower limits, the coke particle size is abnormal.

2. The method for determining whether coke particle size is normal using fabric parameters according to claim 1, characterized in that, In step 3, if the fabric time data corresponding to the preset batch weight and preset top pressure combination does not conform to a normal distribution, step 2 is executed again.

3. The method for determining whether coke particle size is normal using fabric parameters according to claim 2, characterized in that, In step 4, the probability density function of the normal distribution is: Where σ represents the standard deviation, μ represents the mean, and σ 2 Indicates variance.

4. The method for determining whether coke particle size is normal using fabric parameters according to claim 3, characterized in that, In step 4, the values ​​for both tails with a 5% probability are calculated using the probability density function of the normal distribution and taken as the normal operating range of the fabric time.

5. The method for determining whether coke particle size is normal using fabric parameters according to claim 4, characterized in that, If the feeding time is continuously less than the lower limit, it indicates that the coke particles are too small; if the feeding time exceeds the upper limit, it indicates that the particle size is too large.

6. An electronic device comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, characterized in that, When the computer program is executed by the processor, it implements the steps in the method for determining whether the coke particle size is normal using fabric parameters as described in any one of claims 1-5.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps in the method for determining whether the coke particle size is normal using fabric parameters as described in any one of claims 1-5.

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