A method for analyzing coke oven temperature data

Abstract

The present application relates to the field of coke oven coking. A coke oven temperature data analysis method, subtracting the straight-line temperature of each heating exchange cycle from the target temperature to obtain the deviation temperature of each heating exchange cycle, establishing a rectangular coordinate system with time as the horizontal coordinate and temperature as the vertical coordinate, with the point on the horizontal coordinate of the set time as the origin, marking points on the rectangular coordinate system according to the deviation temperature of each heating exchange cycle and the corresponding time, and connecting the points of adjacent time through a line segment to form a coke oven temperature SPC control graph, which can intuitively reflect the running trend of the coke oven temperature by analyzing the coke oven temperature data in the form of a dynamic SPC control graph, and the running trend of the coke oven temperature can be verified with the running trend of the gas consumption.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of coke oven coking. BACKGROUND

[0002] Coke oven is a furnace for producing coke and coke oven gas. Coke is produced from the coking chamber of the coke oven, and a coke oven has 60-70 coking chambers, each of which has one combustion chamber on each side. The furnace temperature of the coke oven generally refers to the temperature of the combustion chamber of the coke oven, and in order to ensure that the coke in each coking chamber is well matured, the heat supply of each combustion chamber needs to be uniform and stable.

[0003] The combustion chamber of the coke oven is divided into multiple vertical flues arranged along the length direction of the coking chamber of the coke oven. In order to master the data of the furnace temperature of the coke oven, usually 1-2 vertical flues in the combustion chamber are selected as representative flues, and the furnace temperature of the combustion chamber is measured periodically. The measurement of the furnace temperature data is roughly divided into three stages. The earliest is manual optical temperature measurement, manual recording and calculation and analysis of data. With the emergence of infrared temperature measurement instruments with recording and storage functions, it enters the stage of manual measurement, automatic recording and simple analysis and calculation of data. The third stage is automatic temperature measurement technology. With the continuous improvement of the requirements of enterprises on coke quality and environmental protection control in the production process of the coke oven, higher requirements are put forward for the control precision of the furnace temperature of the coke oven, which promotes the development of the automatic temperature measurement technology of the coke oven.

[0004] With the emergence of automatic temperature measurement technology, the data quantity of the furnace temperature is increased from the earliest manual temperature measurement of 6 times a day to continuous real-time automatic temperature measurement. The large increase in data quantity also brings new problems, that is, how to use these huge furnace temperature data to guide the process adjustment of the coke oven. SUMMARY

[0005] The technical problem to be solved by the present application is how to establish an analysis method for the furnace temperature data of the coke oven to guide the tracking and adjustment of the process parameters of the heating system of the coke oven by the post, and realize the stable operation of the furnace temperature of the coke oven.

[0006] The technical solution adopted by the present application is: an analysis method for the furnace temperature data of the coke oven, which is performed according to the following steps

[0007] Step one, according to the temperature running trend of the representative flue of each combustion chamber of the coke oven, the furnace temperature of the first minute of the downflow of each representative flue is selected as the basic data of the furnace temperature of the coke oven. For an n-hole coking chamber coke oven, there are n+1 representative flues, n is an integer greater than or equal to 60 and less than or equal to 70, the heating exchange period of each representative flue is T, and the time for each representative flue to generate a basic data is at least 2T. A complete set of data includes n+1 basic data, and the average of the n+1 basic data of the complete set of data is taken as the straight-line temperature of the complete set of data.

[0008] Step two, the straight-line temperature of a complete data set includes two heating exchanges, if the two heating exchanges are represented by red and green directions, the red direction has [n / 2] representing the fire channel in the descending airflow, [] representing rounding, n-[n / 2] representing the fire channel in the ascending airflow, the green direction has n-[n / 2] representing the fire channel in the descending airflow, n representing the fire channel in the ascending airflow, the base data of each heating exchange period is combined with the base data of the previous heating exchange period to obtain a complete data set of each heating exchange period, and the straight-line temperature of each heating exchange period is obtained;

[0009] Step three, the deviation temperature of each heating exchange period is obtained by subtracting the straight-line temperature of each heating exchange period from the target temperature, taking time as the horizontal coordinate, taking temperature as the vertical coordinate, taking the point on the horizontal coordinate of the set time as the origin to establish a rectangular coordinate system, and according to the deviation temperature of each heating exchange period and the corresponding time, the points are drawn on the rectangular coordinate system, and the points of adjacent time are connected by line segments to form a furnace temperature SPC control pattern;

[0010] Step four, the furnace temperature SPC control pattern of the previous 24 hours at the current time point is displayed in real time on the display, and the new data gradually replaces the old data to become a real-time rolling dynamic furnace temperature SPC control pattern;

[0011] Step five, two automatic anomaly rules are established, one is the rising or falling trend of the deviation temperature of the heating exchange period of the continuous 6 points, and the other is that the deviation temperature of the heating exchange period exceeds the upper limit of the maximum deviation temperature or the lower limit of the minimum deviation temperature, when the anomaly occurs, the corresponding point record is marked red and thickened, and the adjustment range is increased when the coal gas consumption is adjusted in subsequent step seven;

[0012] Step six, the coal gas consumption is used instead of the deviation temperature as the vertical coordinate on the dynamic furnace temperature SPC control pattern, the coal gas consumption at each time point is drawn on the dynamic furnace temperature SPC control pattern, and the adjacent time points are connected to form a coal gas consumption trend pattern;

[0013] Step seven, according to the dynamic furnace temperature SPC control pattern, when it is observed that the deviation temperature of the current period is positive and greater than the minimum positive deviation temperature, the coal gas consumption is reduced based on the coal gas consumption of the current period, the greater the deviation temperature of the current period, the greater the reduction range, when it is observed that the deviation temperature of the current period is negative and less than the minimum negative deviation temperature, the coal gas consumption is increased based on the coal gas consumption of the current period, the greater the absolute value of the deviation temperature of the current period, the greater the increase range, according to the dynamic furnace temperature SPC control pattern and the coal gas consumption trend pattern, it is judged whether the coal gas consumption adjustment is appropriate, that is, whether the absolute value of the deviation temperature of the next period is smaller.

[0014] The beneficial effects of the present application are: analyzing the furnace temperature data in the form of dynamic SPC control chart can directly reflect the running trend of the furnace temperature, combining the running trend of the gas consumption with the running trend of the furnace temperature to verify each other, and can accurately provide the following information to the post personnel:

[0015] The current straight running temperature level, the amplitude of high or low;

[0016] The furnace temperature adjustment status before the current straight running temperature, and the amplitude of the gas consumption;

[0017] Any abnormal condition, such as sudden change of the matched coal, the calorific value of the gas, the production rhythm and other factors, can be observed in the running trend of the straight running temperature, and the abnormal condition of the straight running temperature can be reminded to the post in the form of red and thickened furnace temperature dot, guiding the post to quickly adjust.

[0018] The straight running temperature fluctuation of the whole coking process is reduced, the heat supply to each carbonization chamber is stable and uniform, which helps to reduce the gas consumption and achieve the effect of energy saving and consumption reduction. BRIEF DESCRIPTION OF DRAWINGS

[0019] Fig. 1 is a schematic diagram of the deviation temperature rising or falling trend of the heating exchange period of 6 consecutive points;

[0020] Fig. 2 is a schematic diagram of the deviation temperature exceeding the upper limit of the maximum deviation temperature or the lower limit of the minimum deviation temperature of the heating exchange period;

[0021] Fig. 3 is the dynamic furnace temperature SPC control chart and the gas consumption trend chart of the present embodiment. DETAILED DESCRIPTION

[0022] As shown in Figs. 1-3 , a coke oven furnace temperature data analysis method is performed according to the following steps

[0023] Step one, according to the running trend of the temperature of the representative flue of each combustion chamber of the coke oven, the furnace temperature at the first minute of the descending airflow of each representative flue is selected as the basic data of the coke oven furnace temperature, for a 70-hole carbonization chamber coke oven, there are 71 representative flues, the heating exchange period of each representative flue is 20 minutes, and the time of each representative flue to generate a basic data is at least 40 minutes, a complete set of data includes 71 basic data, and the average value of the 71 basic data of the complete set of data is taken as the straight running temperature of the complete set of data.

[0024] Step two, the straight-line temperature of a complete data set includes two heating exchanges, if the two heating exchanges are represented by red and green directions, the red direction has 35 representing the fire channel in the downward airflow, [] representing rounding, 36 representing the fire channel in the upward airflow, the green direction has 36 representing the fire channel in the downward airflow, and 35 representing the fire channel in the upward airflow, the base data of each heating exchange period is combined with the base data of the previous heating exchange period to obtain a complete data set of each heating exchange period, and the straight-line temperature of every 20 minutes is obtained.

[0025] Step three, subtract the straight-line temperature of each heating exchange period from the target temperature to obtain the deviation temperature of each heating exchange period, take the point on the horizontal coordinate of the set time (the first minute of a representative fire channel downward airflow) as the origin to establish a rectangular coordinate system, draw points on the rectangular coordinate system according to the deviation temperature of each heating exchange period and the corresponding time, and connect the points of adjacent time by line segments to form a furnace temperature SPC control pattern.

[0026] The target temperature refers to the theoretical temperature of the furnace temperature to be controlled. Due to the uncertainty of the coking raw materials used in the coke oven, the theoretical temperature changes with the coking raw materials, so using the deviation temperature as the observation and control target has universality, avoiding adjustment after replacing the coking raw materials each time. The upper and lower specification limits of the furnace temperature SPC control pattern can be unified with industry standards, or can be enhanced or relaxed according to actual needs.

[0027] Step four, display the furnace temperature SPC control pattern of the previous 24 hours at the current time point on the display in real time, and gradually replace the old data with new data to become a real-time rolling dynamic furnace temperature SPC control pattern;

[0028] Step five, establish two automatic anomaly rules, one is the upward or downward trend of the deviation temperature of the heating exchange period of the continuous 6 points, and the other is that the deviation temperature of the heating exchange period exceeds the upper limit of the maximum deviation temperature or the lower limit of the minimum deviation temperature, when the anomaly occurs, the corresponding point record is marked red and thickened, and the adjustment range is increased when adjusting the gas consumption in subsequent step seven;

[0029] Step six, replace the deviation temperature with the gas consumption as the vertical coordinate on the dynamic furnace temperature SPC control pattern, draw points on the dynamic furnace temperature SPC control pattern with the gas consumption at each time point, and connect the adjacent time points to form a gas consumption trend pattern;

[0030] Step 7: Compare the dynamic furnace temperature SPC control graph. When the deviation temperature of the current cycle is observed to be positive and greater than the minimum positive deviation temperature, reduce the gas consumption based on the current cycle's gas consumption. The larger the deviation temperature of the current cycle, the greater the reduction. When the deviation temperature of the current cycle is observed to be negative and less than the minimum negative deviation temperature, increase the gas consumption based on the current cycle's gas consumption. The larger the absolute value of the deviation temperature of the current cycle, the greater the increase. Compare the dynamic furnace temperature SPC control graph and the gas consumption trend graph to determine whether the gas consumption adjustment is appropriate, i.e., whether the absolute value of the deviation temperature in the next cycle is smaller.

[0031] Appendix Fig. 3 In the middle, 1) the coke oven temperature operation conforms to "standard temperature ±10℃"; the maximum deviation temperature is 10℃ and the minimum deviation temperature is -10℃.

[0032] 2) Establish a dynamic furnace temperature SPC control graph, with the vertical axis plotted as the deviation between the linear temperature and the target temperature, and the baseline kept at "0";

[0033] 3) The furnace temperature data from the two exchange cycles are used alternately, increasing the daily furnace temperature data volume from 36 sets to 72 sets;

[0034] 4) Establish two exception detection rules (six consecutive points of upward or downward trend; exceeding the specification limit);

[0035] 5) Synchronize the trend of gas consumption with the furnace temperature operation and verify each other.

[0036] This invention has been implemented in three 7.63m coke ovens at Taiyuan Iron & Steel Group. The method is based on the timeliness of automatic temperature measurement data and combines it with SPC process control principles. The computer automatically plots data every 20 minutes and automatically identifies six consecutive increases or decreases, as well as abnormal data exceeding upper or lower limits. This guides the workstations in tracking and adjusting the furnace temperature parameters. The goal is to control all 72 furnace temperature deviation data points throughout the day within ±10℃.

Claims

1. A method for analyzing coke oven temperature data, characterized in that: Follow these steps Step 1: Based on the temperature trend of the representative flue of each combustion chamber of the coke oven, select the furnace temperature at the first minute of the descending airflow of each representative flue as the basic data of the coke oven temperature. For an n-hole coke oven, there are n+1 representative flues, where n is an integer greater than or equal to 60 and less than or equal to 70. The heating exchange cycle of each representative flue is T. The time for each representative flue to generate a basic data is at least 2T. A complete set of data includes n+1 basic data. The average of the n+1 basic data in a complete set of data is taken as the vertical temperature of the complete set of data. Step 2: A complete set of straight-line temperatures includes two heating exchanges. If the two heating exchanges are represented by red and green directions, [n / 2] red exchanges represent fire channels in descending airflow, [] indicates rounding, and n-[n / 2] red exchanges represent fire channels in ascending airflow. In the green direction, n-[n / 2] green exchanges represent fire channels in descending airflow, and n represents fire channels in ascending airflow. Combine the basic data of each heating exchange cycle with the basic data of the previous heating exchange cycle to obtain a complete set of data for each heating exchange cycle, and calculate the straight-line temperature for each heating exchange cycle. Step 3: Subtract the target temperature from the straight-line temperature of each heating exchange cycle to obtain the deviation temperature of each heating exchange cycle. Establish a rectangular coordinate system with time as the horizontal axis, temperature as the vertical axis, and the point on the horizontal axis of the set time as the origin. Plot points on the rectangular coordinate system according to the deviation temperature of each heating exchange cycle and its corresponding time, and connect the points of adjacent times with line segments to form the furnace temperature SPC control graph. Step 4: Display the furnace temperature SPC control graph for the previous 24 hours in real time on the monitor. The new data gradually replaces the old data, becoming a real-time scrolling dynamic furnace temperature SPC control graph. Step 5: Establish two automatic anomaly detection rules. One is the rising or falling trend of the deviation temperature of the heating exchange cycle for 6 consecutive points. The other is the deviation temperature of the heating exchange cycle exceeding the upper limit of the maximum deviation temperature or the lower limit of the minimum deviation temperature. When an anomaly occurs, the corresponding plotted point record is highlighted in red and bolded. At the same time, the adjustment range is increased when adjusting the gas consumption in the subsequent step 7. Step 6: On the dynamic furnace temperature SPC control graph, use gas consumption instead of deviation temperature as the vertical axis, plot the gas consumption at each time point on the dynamic furnace temperature SPC control graph, and connect adjacent time points to form a gas consumption trend graph. Step 7: Compare the dynamic furnace temperature SPC control graph. When the deviation temperature of the current cycle is observed to be positive and greater than the minimum positive deviation temperature, reduce the gas consumption based on the current cycle's gas consumption. The larger the deviation temperature of the current cycle, the greater the reduction. When the deviation temperature of the current cycle is observed to be negative and less than the minimum negative deviation temperature, increase the gas consumption based on the current cycle's gas consumption. The larger the absolute value of the deviation temperature of the current cycle, the greater the increase. Compare the dynamic furnace temperature SPC control graph and the gas consumption trend graph to determine whether the gas consumption adjustment is appropriate, i.e., whether the absolute value of the deviation temperature in the next cycle is smaller.

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