Real-time monitoring method of slag and iron generation rate based on blast furnace charge surface scanning

Abstract

The present invention relates to a real-time monitoring method for the slag generation rate based on blast furnace charge surface scanning. Based on the blast furnace charge surface scanning results at different times, the radial charge surface distribution curve of the blast furnace is obtained, and the blast furnace charge surface downward speed and the ore coke thickness distribution of each batch of materials are calculated; the molten iron and slag are subjected to elemental analysis, and then based on the element conservation comparison, the blast furnace slag generation rate is finally obtained. The present invention explores the ore coke distribution thickness, smelting speed changes in the blast furnace, etc., monitors and feeds back the slag generation rate in the blast furnace in real time, and provides first-hand real-time data for production, which is used to guide production on site.

Description

Technical Field

[0001] The invention relates to a real-time monitoring method for slag iron generation speed based on blast furnace material surface scanning, and belongs to the technical field of blast furnace ironmaking. Background Art

[0002] As a high-temperature, high-pressure, closed reaction vessel, the blast furnace undergoes complex gas-solid-liquid multiphase reactions. Its internal smelting conditions and the rate of slag iron generation are difficult to monitor based on existing detection equipment and methods. Traditional blast furnace operators can only make judgments based on the tapping time interval and furnace conditions, which are subjective and difficult to judge the key tapping time based on the slag iron inventory in the furnace. In the absence of key data support for refined management of the furnace, the slag iron inventory in the blast furnace is bound to change significantly, which in turn affects the blast furnace conditions and is not conducive to the safe and stable production of the blast furnace.

[0003] Patent application CN116049625A provides a real-time monitoring method for the slag and iron level in the hearth of a blast furnace. The instantaneous slag generation and the instantaneous iron generation are calculated based on the production data and process parameter data of the target blast furnace and the residence time of the charge in the blast furnace. The residence time of the charge in the blast furnace in this patent application is inevitably vague and difficult to calculate, and the residence time of the charge at different distribution positions in the blast furnace is bound to be different.

[0004] Patent CN113699292B provides a method for calculating the amount of slag and iron produced during a blast furnace shutdown period. By comparing the material surface heights of the probe before and after the shutdown, the average material surface height in the blast furnace is further estimated. Based on this, the volume change in the upper part of the blast furnace is calculated, and the amount of slag and iron produced in the blast furnace is estimated. The patent application uses a probe to measure and can only reflect the material surface height in a local area. Inferring the volume change in the blast furnace based on this will inevitably increase the error. In addition, it is difficult for the present invention to estimate the real-time slag and iron generation speed in the blast furnace.

[0005] Patent CN110628974B provides an operation decision-making method and system based on the safety liquid level of the furnace cylinder. By collecting the charge information when loading on the furnace top, the batch iron quantity, batch slag quantity and batch time are calculated; the batch iron quantity, batch slag quantity and batch time are used to calculate the slag and iron production in the furnace; the real-time monitoring method adopted in this patent application can only calculate the slag and iron production relatively fuzzily through the loading time, and cannot reflect the smelting speed in the blast furnace in real time according to the changes in the charge surface, and the blast furnace charging time is subjectively judged by the blast furnace operator according to the furnace conditions, so the speed calculation is subjective and random.

[0006] In summary, the existing patents related to slag and iron generation in blast furnaces are difficult to truly reflect the slag and iron generation rate in blast furnaces. The present invention is based on a material surface scanning device on the top of the blast furnace to explore the distribution thickness of ore coke in the blast furnace, changes in smelting speed, etc., and to monitor and feedback the slag and iron generation rate in the blast furnace in real time. Summary of the invention

[0007] In order to solve the above problems, the present invention discloses a real-time monitoring method of slag iron generation speed based on blast furnace charge surface scanning, and its specific technical scheme is as follows:

[0008] A real-time monitoring method for slag and iron generation speed based on blast furnace charge surface scanning comprises the following steps:

[0009] Step 1: Select the blast furnace to be tested, select the scanning height and scanning point within the blast furnace burden height range, and scan the blast furnace charge surface;

[0010] Step 2: The blast furnace is charged batch by batch, and each batch of charges is charged with coke first and then ore;

[0011] Step 3: First, coke the blast furnace. After coke is laid, scan the blast furnace at least twice, and there is a time interval between the two adjacent times. Calculate the downward speed of coke, continue to scan at intervals, calculate the downward speed of multiple cokes, and then obtain multiple coke downward speed curves until the blast furnace is laid, and record the time;

[0012] Step 4: After the blast furnace is ore-laid, scan the blast furnace more than twice, with a time interval between the two adjacent times, calculate the downward speed of the ore, continue to scan at intervals, calculate the downward speed of multiple ores, and then obtain the downward speed curves of multiple ores until the blast furnace is coked, and record the time;

[0013] Step 5: Repeat steps 3 and 4, continue production and monitoring;

[0014] Step 6: Calculate the coke thickness under this coke laying operation by using the last scan before coking and the first scan after coking. According to the multiple sets of data in step 5, obtain the thickness change curve of the coke layer.

[0015] Step 7: Use the last scan before ore laying and the first scan after ore laying to calculate the ore thickness under this ore laying operation, and reciprocate multiple sets of data according to step 5 to obtain the thickness change curve of the ore layer;

[0016] Step 8: Based on material balance, all the CaO in the charge enters the slag, and all the iron in the charge enters the slag and molten iron.

[0017] When the i-th batch of coking is placed, the generation rate of blast furnace slag in the coke after coking is vslag for:

[0018]

[0019] The generation rate of molten iron in blast furnace ron for:

[0020]

[0021] The generation rate v' of blast furnace slag in the ore after ore distribution slag for:

[0022]

[0023] The generation rate of molten iron in blast furnace v' iron for:

[0024]

[0025] Where R is the radius of the blast furnace, x represents the point position on an evaluation curve, P is the bulk density of the ore, and w material-Fe is the content of iron in the ore raw material, w slag-Fe is the content of iron in the slag, w iron-Fe is the content of iron in molten iron, w material-CaO is the CaO content in the ore raw material, w slag-CaO is the CaO content in the slag, avg is the mean calculation symbol, v C (i) is the downward speed of the material surface after the i-th batch of material is coked, v O (i) is the downward speed of the material surface after the i-th batch of materials is placed, ΔO(i) is the ore thickness of the i-th batch of materials, and ΔC(i) is the coke thickness of the i-th batch of materials.

[0026] Furthermore, in step 1, laser scanning or radar scanning is selected;

[0027] When laser scanning is used, multiple scanning points are selected on the scanning height surface of the blast furnace, installed according to the division evaluation curve, and the material surface is scanned according to the division evaluation curve;

[0028] When performing radar scanning, the entire material surface is scanned first, and then the data on the evaluation curve is extracted according to the division evaluation curve.

[0029] Furthermore, in the steps 3 and 4, when the i-th batch of materials is laid, the blast furnace coke laying operation is first performed. After the coke laying, the result of the first scanning of the material surface is y 1 (i), time is t 1 (i) The result of the second scan is y 2 (i), time is t 2 (i) The result of the third scan is y3 (i), time is t 3 (i) Monitor in sequence until the blast furnace ore distribution operation is carried out. After the ore distribution, the result of the first scan of the material surface is y' 1 (i) Time is t' 1 (i) The result of the second scan is y' 2 (i) Time is t' 2 (i) The result of the third scan is y' 3 (i) Time is t' 3 (i) Monitor in sequence until the next coking operation of the blast furnace is carried out;

[0030] Then the downward speed v of the i-th batch of materials after coking is C (i) is:

[0031]

[0032]

[0033] Calculate sequentially until the last set of data;

[0034] Each set of data obtains a set of material surface downward velocity curves after coking at adjacent moments;

[0035] The downward speed v of the i-th batch of materials after ore distribution O (i) is:

[0036]

[0037]

[0038] Calculate sequentially until the last set of data;

[0039] Each set of data obtains a set of downward velocity curves of the material surface after ore distribution at adjacent moments.

[0040] Furthermore, the specific calculation process of steps 6 and 7 is as follows:

[0041] The coke thickness ΔC(i) of the i-th batch is:

[0042] ΔC(i)=|y 1 (i) -y' last (i-1)+v O (i-1)(t 1 (i)-t' last (i-1))|

[0043] The thickness of the ore of the i-th batch is ΔO(i):

[0044] ΔO(i)=|y' 1(i)-y last (i-1)+v C (i)(t' 1 (i)-t last (i-1))|

[0045] (i-1) represents the i-1th batch of materials, and last represents the last scanning result before ore or coke is placed.

[0046] Furthermore, the divided evaluation curve is a line where multiple diameters are located on the blast furnace scanning plane, and the scanning plane is divided into multiple evaluation units through the line.

[0047] Furthermore, steps 2-8 are performed independently in each evaluation unit.

[0048] Furthermore, the scanning data obtained by scanning in step 1 is: on the evaluation curve, the horizontal axis is the distance from the radial direction of the blast furnace to the center of the blast furnace, and the vertical axis is the distance from the material surface to the 0 material line, that is, the radial material surface distribution curve of the blast furnace.

[0049] The beneficial effects of the present invention are:

[0050] (1) The environments in different areas of a blast furnace are different. The diameter of a blast furnace is very large, usually more than ten meters, which leads to differences in the smelting speeds in different areas. The present invention can calculate the falling speed of the material surface in the blast furnace in real time by scanning the material surface, and can truly feedback the smelting speed of the blast furnace in different areas. Therefore, the calculation of the slag iron generation speed in the blast furnace by the present invention is most realistic.

[0051] (2) Blast furnace smelting is affected by the differences in charging system, charging equipment and initial charging surface. Each time the blast furnace is charged, there will be a difference between the ideal charging surface and the historical charging surface, which will inevitably have a certain impact on the smelting of the ore. The present invention can calculate the distribution of ore and coke on the blast furnace charging surface each time based on the charging surface scanning equipment, and the calculation result will inevitably be more in line with reality.

[0052] (3) The present invention can further evaluate the blast furnace smelting speed by calculating the slag production speed, and plays an important role in monitoring the slag in the blast furnace hearth, and is of great significance for the refined control of iron tapping in front of the furnace.

[0053] (4) The present invention can be implemented based on the existing blast furnace scanning equipment, and can divide different evaluation curves according to different blast furnaces. If a laser scanning device is used, it is only necessary to add a laser scanning device if a dividing curve is needed. If a full material surface scanning similar to radar is used, it is only necessary to extract a data curve on the entire material surface. Therefore, the present invention is convenient and simple to implement and has wide versatility. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1It is a flow chart of an embodiment of the present invention, taking two scans after coke placement and ore placement as examples.

[0055] Figure 2 It is a schematic diagram of the material surface fitting curve of the present invention.

[0056] Figure 3 Schematic diagram of material surface velocity curve in an embodiment of the present invention.

[0057] Figure 4 Schematic diagram of ore and coke thickness curve in an embodiment of the present invention.

[0058] Figure 5 It is a schematic diagram of the material level evaluation curve in the blast furnace in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The present invention is further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not used to limit the scope of the present invention.

[0060] The real-time monitoring method of slag iron generation speed based on blast furnace charge surface scanning of the present invention comprises the following steps:

[0061] Step 1: Select the blast furnace to be tested, select the scanning height and scanning point within the blast furnace charge height range, and scan the blast furnace charge surface;

[0062] Choose between laser scanning or radar scanning;

[0063] When laser scanning is used, multiple scanning points are selected on the scanning height surface of the blast furnace, installed according to the divided evaluation curve, and the material surface is scanned according to the divided evaluation curve; laser scanning is line scanning, and it is installed so that the laser scanning line is on the evaluation curve.

[0064] When it is a radar scan, the entire material surface is scanned first, and then the data on the evaluation curve is extracted according to the division evaluation curve. Radar scanning is a surface scan and then the data on the line is selected according to the specifications of the evaluation curve. Whether it is laser scanning or radar scanning, the data obtained are: on the evaluation curve, the horizontal axis is the distance from the radial direction of the blast furnace to the center of the blast furnace, and the vertical axis is the distance from the material surface to the 0 material line, that is, the radial material surface distribution curve of the blast furnace.

[0065] The divided evaluation curve is a line of multiple diameters on the blast furnace scanning plane, through which the scanning plane is divided into multiple evaluation units. The evaluation unit divides the area inside the blast furnace into multiple units, and independently analyzes the slag iron during the smelting process in each unit. The particle size of the analysis is more detailed than the traditional method, which is convenient for accurately understanding the actual situation in each area of ​​the blast furnace and accurately guiding the placement of materials.

[0066] Steps 2-8 are performed independently in each evaluation unit. In this way, the dynamic changes in each evaluation unit can be calculated independently, and the conditions at different locations in the actual blast furnace can be accurately monitored.

[0067] Step 2: Blast furnaces are charged in batches. Each batch of charges is charged with coke first and then ore. Set the blast furnace scanning time interval for each batch of charges. Coke acts as fuel, ore is the raw material for smelting, the iron in the ore is smelted into molten iron, and the slag is filtered out.

[0068] Step 3: First, place coke on the blast furnace. After placing coke, scan the blast furnace at least twice with a time interval between each scan. Calculate the downward speed of the coke. Continue scanning at intervals to calculate the downward speeds of multiple cokes, and then obtain the downward speed curves of multiple cokes until the blast furnace is placed with ore. Record the time.

[0069] Step 4: After the blast furnace is ore-laid, scan the blast furnace more than twice with a time interval between the two adjacent times, calculate the downward speed of the ore, continue scanning at intervals, calculate the downward speed of multiple ores, and then obtain the downward speed curves of multiple ores until the blast furnace is coked and record the time.

[0070] See attached Figure 1 When the i-th batch of materials is laid, the blast furnace coke laying operation is carried out first. After the coke laying is completed, the result of the first scan of the material surface is y 1 (i), time is t 1 (i) The result of the second scan is y 2 (i), time is t 2 (i) The result of the third scan is y 3 (i), time is t 3 (i) Monitor in sequence until the blast furnace ore distribution operation is carried out. After the ore distribution is completed, the result of the first scan of the material surface is y' 1 (i) Time is t' 1 (i) The result of the second scan is y' 2 (i) Time is t' 2 (i) The result of the third scan is y' 3 (i) Time is t' 3 (i) Monitor in sequence until the next coking operation of the blast furnace is carried out;

[0071] Then the downward speed v of the i-th batch of materials after coking is C (i) is:

[0072]

[0073]

[0074] Calculate sequentially until the last set of data;

[0075] Each set of data obtains a set of material surface downward velocity curves after coking at adjacent moments;

[0076] The downward speed v of the i-th batch of materials after ore distribution O (i) is:

[0077]

[0078]

[0079] Calculate sequentially until the last set of data;

[0080] Each set of data obtains a set of downward velocity curves of the material surface after ore distribution at adjacent moments.

[0081] Step 5: Repeat steps 3 and 4 to continue production and monitoring.

[0082] Step 6: Use the last scan before coking and the first scan after coking to calculate the coke thickness under this coking operation. According to the multiple sets of data in step 5, the thickness change curve of the coke layer is obtained.

[0083] Step 7: Use the last scan before ore laying and the first scan after ore laying to calculate the ore thickness under this ore laying operation. According to the multiple sets of data in step 5, the thickness change curve of the ore layer is obtained.

[0084] The specific calculation process of steps 6 and 7 is:

[0085] The coke thickness ΔC(i) of the i-th batch is:

[0086] ΔC(i)=|y 1 (i) -y' last (i-1)+v O (i-1)(t 1 (i)-t' last (i-1))|

[0087] The thickness of the ore of the i-th batch is ΔO(i):

[0088] ΔO(i)=|y' 1 (i)-y last (i-1)+v C (i)(t' 1 (i)-t last (i-1))|

[0089] (i-1) represents the i-1th batch of materials, and last represents the last scanning result before ore or coke is placed.

[0090] Step 8: Based on material balance, all the CaO in the charge enters the slag, and all the iron in the charge enters the slag and molten iron.

[0091] When the i-th batch of coking is placed, the generation rate of blast furnace slag in the coke after coking is v slag for:

[0092]

[0093] The generation rate of molten iron in blast furnace ron for:

[0094]

[0095] The generation rate v' of blast furnace slag in the ore after ore distribution slag for:

[0096]

[0097] The generation rate of molten iron in blast furnace v' iron for:

[0098]

[0099] Where R is the radius of the blast furnace, x represents the point position on an evaluation curve, P is the bulk density of the ore, and w material-Fe is the content of iron in the ore raw material, w slag-Fe is the content of iron in the slag, w iron-Fe is the content of iron in molten iron, w material-CaO is the CaO content in the ore raw material, w slag-CaO is the CaO content in the slag, avg is the mean calculation symbol, v C (i) is the downward speed of the material surface after the i-th batch of material is coked, v O (i) is the downward speed of the material surface after the i-th batch of materials is placed, ΔO(i) is the ore thickness of the i-th batch of materials, and ΔC(i) is the coke thickness of the i-th batch of materials.

[0100] A specific embodiment of the present invention is given below:

[0101] The first step is to select the blast furnace to be tested and install the laser scanning or material surface scanning equipment on the blast furnace to scan the material surface of the blast furnace. Multiple laser scanners need to be installed to scan the material surface of the blast furnace in multiple directions, such as Figure 5 As shown, the machine is installed according to the divided evaluation curve, and the material surface is scanned according to the divided evaluation curve; Figure 5There are two evaluation curves in the blast furnace, which can be increased or decreased according to actual requirements. The more accurate the slag and iron generation rate is, the more evaluation curves there are. After the scanning equipment is installed, the equipment is calibrated to obtain the scanning results of the blast furnace charge surface. Figure 5 The evaluation curve can be divided into four radial distribution curves, such as Figure 2 As shown, the horizontal axis is the distance from the radial direction of the blast furnace to the center of the blast furnace, and the vertical axis is the distance from the material surface to the 0 material line.

[0102] The second step is to set a reasonable material surface scanning procedure and scanning time interval; Figure 1 As shown in the figure, for the i-th batch of materials, the blast furnace coke laying operation, after coke laying, the result of the first scan of the material surface is y 1 (i), time is t 1 (i) The result of the second scan is y 2 (i), time is t 2 (i) Blast furnace ore distribution operation. After ore distribution, the first scan result of the material surface is y' 1 (i) Time is t' 1 (i) The result of the second scan is y' 2 (i) Time is t' 2 (i).

[0103] The third step is to calculate the downward speed of the material surface. The downward speed of the material surface of the i-th batch of materials after coking is:

[0104]

[0105] The downward speed of the i-th batch of materials after ore distribution is:

[0106]

[0107] Get as Figure 3 As shown, the downward speed curve of the material surface.

[0108] The fourth step is to calculate the thickness of the coke layer of the ore. The thickness of the ore of the i-th batch is:

[0109] The coke thickness ΔC(i) of the i-th batch is:

[0110] ΔC(i)=|y 1 (i) -y' 2 (i-1)+v O (i-1)(t 1 (i)-t' 2 (i-1))|

[0111] The thickness of the ore of the i-th batch is ΔO(i):

[0112] ΔO(i)=|y' 1(i)-y 2 (i-1)+v C (i)(t' 1 (i)-t 2 (i-1))|

[0113] Get as Figure 4 Coke and ore thickness curves shown.

[0114] Step 5: Based on material balance, all CaO in the charge enters the slag, and all iron in the charge enters the slag and molten iron. Take the blast furnace radius of 5400mm as an example.

[0115] The generation rate of blast furnace slag on the i-th batch of material surface after coking is:

[0116]

[0117] The generation rate of molten iron in blast furnace is:

[0118]

[0119] After ore distribution, the generation rate of blast furnace slag at the i-th batch of material surface is:

[0120]

[0121] The generation rate of molten iron in blast furnace is:

[0122]

[0123] Among them, x represents Figures 2 to 4 The horizontal axis is P, the bulk density of the ore, and w material-Fe is the content of iron in the ore raw material, w slag-Fe is the content of iron in the slag, w iron-Fe is the content of iron in molten iron, w material-CaO is the CaO content in the ore raw material, w slag-CaO is the content of CaO in the slag; avg is the average value; the average value in the embodiment of the present invention is Figure 5 The average of the four evaluation curves.

[0124] By calculation, the data on each evaluation curve scanned in step 1 can be obtained, and then the situation in each evaluation unit can be obtained, which is convenient for accurately guiding the layout adjustment of the material distribution, making the smelting on the inner circumference of the blast furnace as close to the same as possible, and improving the utilization rate of the blast furnace and the utilization rate of raw materials and fuel.

[0125] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A real-time monitoring method for slag and iron generation speed based on blast furnace charge surface scanning, characterized in that: The following steps are involved: Step 1: Select the blast furnace to be tested, select the scanning height and scanning point within the blast furnace burden height range, scan the blast furnace charge surface, and select laser scanning or radar scanning: When laser scanning is used, multiple scanning points are selected on the scanning height surface of the blast furnace, installed according to the evaluation curve, and the material surface is scanned according to the evaluation curve; When scanning by radar, the entire material surface is scanned first, and then the data on the evaluation curve is extracted according to the evaluation curve; The evaluation curve is a line where multiple diameters are located on the blast furnace scanning plane, and the scanning plane is divided into multiple evaluation units by the line; The scanning data obtained by scanning are: on the evaluation curve, the horizontal axis is the distance from the radial direction of the blast furnace to the center of the blast furnace, and the vertical axis is the distance from the material surface to the 0 material line, that is, the radial material surface distribution curve of the blast furnace; Step 2: The blast furnace is charged batch by batch, and each batch of charges is charged with coke first and then ore; Step 3: First, coke the blast furnace, and then scan the blast furnace more than twice after coke is laid, with a time interval between the two adjacent times, calculate the downward speed of coke, continue to scan at intervals, calculate the downward speed of multiple cokes, and then obtain the downward speed curves of multiple cokes until the blast furnace is laid, and record the time; Step 4: After the blast furnace is ore-laid, scan the blast furnace more than twice, with a time interval between the two adjacent times, calculate the downward speed of the ore, continue to scan at intervals, calculate the downward speed of multiple ores, and then obtain the downward speed curves of multiple ores until the blast furnace is coked, and record the time; Step 5: Repeat steps 3 and 4, continue production and monitoring; Step 6: Calculate the coke thickness under this coke laying operation by using the last scan before coking and the first scan after coking. According to the multiple sets of data in step 5, obtain the thickness change curve of the coke layer. Step 7: Use the last scan before ore laying and the first scan after ore laying to calculate the ore thickness under this ore laying operation, and reciprocate multiple sets of data according to step 5 to obtain the thickness change curve of the ore layer; Step 8: Based on material balance, all the CaO in the charge enters the slag, and all the iron in the charge enters the slag and molten iron. When the i-th batch of coking is placed, the generation rate of blast furnace slag after coking is v slag for: The speed of molten iron generation in blast furnace v iron for: The generation rate of blast furnace slag after ore distribution v' slag for: The generation rate of molten iron in blast furnace v' iron for: Where R is the radius of the blast furnace, x represents the point position on an evaluation curve, P is the bulk density of the ore, and w material-Fe is the content of iron in the ore raw material, w slag-Fe is the content of iron in the slag, w iron-Fe is the content of iron in molten iron, w material-CaO is the CaO content in the ore raw material, w slag-CaO is the CaO content in the slag, avg is the mean calculation symbol, v C (i) is the downward speed of the material surface after the i-th batch of material is coked, v O (i) is the downward speed of the material surface after the i-th batch of materials is placed, ΔO(i) is the ore thickness of the i-th batch of materials, and ΔC(i) is the coke thickness of the i-th batch of materials.

2. The real-time monitoring method for slag generation speed based on blast furnace charge surface scanning according to claim 1 is characterized in that: In the steps 3 and 4, when the i-th batch of materials is laid, the blast furnace coke laying operation is first performed. After coke laying, the result of the first scan of the material surface is y1(i), and the time is t1(i). The result of the second scan of the material surface is y2(i), and the time is t2(i). The result of the third scan of the material surface is y3(i), and the time is t3(i). The monitoring is carried out in sequence until the blast furnace ore laying operation is performed. After ore laying, the result of the first scan of the material surface is y'1(i), and the time is t'1(i). The result of the second scan of the material surface is y'2(i), and the time is t'2(i). The result of the third scan of the material surface is y'3(i), and the time is t'3(i). The monitoring is carried out in sequence until the blast furnace performs the next coke laying operation; Then the downward speed v of the i-th batch of materials after coking is C (i) is: Calculate sequentially until the last set of data; Each set of data obtains a set of material surface downward velocity curves after coking at adjacent moments; The downward speed v of the i-th batch of materials after ore distribution O (i) is: Calculate sequentially until the last set of data; Each set of data obtains a set of downward velocity curves of the material surface after ore distribution at adjacent moments.

3. The real-time monitoring method for slag and iron generation speed based on blast furnace charge surface scanning according to claim 2 is characterized in that: The specific calculation process of steps 6 and 7 is: The coke thickness ΔC(i) of the i-th batch is: ΔC(i)=|y1(i)-y' last (i-1)+v O (i-1)(t1(i)-t' last (i-1))| The thickness of the ore of the i-th batch is ΔO(i): ΔO(i)=|y'1(i)-y last (i-1)+v C (i)(t'1(i)-t last (i-1))| (i-1) represents the i-1th batch of materials, and last represents the last scanning result before ore or coke is placed.

4. The real-time monitoring method for slag and iron generation speed based on blast furnace charge surface scanning according to claim 1 is characterized in that: The steps 2 to 8 are performed independently in each evaluation unit.

Images