Self-propelled torpedo tank car operation control method based on steel production real-time information

Abstract

A self-propelled torpedo tank car operation control method based on steel production real-time information comprises two stages: in the first stage, after a blast furnace receives molten iron until the blast furnace is fully loaded, the torpedo tank car in a heavy tank state runs to the position of a steelmaking area to carry out molten iron pouring operation; and in the second stage, after the self-propelled torpedo tank car finishes pouring molten iron at the steelmaking position, the torpedo tank car in the empty tank state returns to the blast furnace for standby, aiming at the two stages, the method comprises a heavy tank operation control method and an empty tank operation control method, and the two parts are controlled through an intelligent operation decision model. The intelligent and automatic degree and level of the molten iron transportation system in the production organization management aspect are improved, unmanned, automatic and intelligent molten iron transportation execution level is achieved, and the pressure and cost of the production organization management level are reduced; according to the method, intelligent planning and conflict avoidance are carried out on the operation route in the molten iron transportation process, and the molten iron transportation efficiency is greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of management of transportation equipment, and particularly to a method for controlling the operation of a self-propelled torpedo ladle car containing molten iron based on real-time information of steel production during the metal metallurgy production process. Background Art

[0002] Currently, in the daily production process of large blast furnaces in various metal metallurgy production enterprises, a torpedo ladle car is often used to transport molten iron from the blast furnace to the steelmaking area. The shape of this ladle car is a torpedo-shaped molten iron ladle with a relatively long transverse length, so it is called a torpedo ladle car, also known as a hot metal mixer. As an indispensable molten iron transportation and storage equipment in modern metallurgy industry, this torpedo ladle car plays an important role in metallurgy enterprises.

[0003] Due to its large volume, for the sake of production safety, the improvement of the existing torpedo ladle car usually focuses on the configuration of its own hardware equipment and the design of the production general layout, or the layout optimization of the blast furnace, steelmaking, and molten iron transportation forms, lacking the design consideration for the operation of the torpedo ladle car itself. Its specific defects are as follows:

[0004] 1. Lack of control over the number of empty ladle cars to meet the demand of the blast furnace for empty ladle cars, resulting in unnecessary resource waste;

[0005] 2. During the usual transportation process of the torpedo ladle car, the principle of proximity is often ignored, and instead, it is transported from a distance, resulting in a significant increase in the work intensity and labor load of molten iron transportation scheduling;

[0006] 3. It is impossible to determine whether there is a torpedo ladle car waiting at the location of the blast furnace tapping yard, and each time the operating instruction is issued to a torpedo ladle car that is not the most suitable one, resulting in the inability to let the torpedo ladle car go to wait at the blast furnace specified by the operating instruction.

[0007] There are also improvement schemes for the molten iron transportation of blast furnaces in the prior art. For example, a molten iron scheduling method for iron and steel interface informatization in CN201810043398.5. This application uses the production plans of the blast furnace and steelmaking, combined with the number of in-use iron ladles, to compile the number of iron ladles required by the blast furnace and clarify the iron ladle numbers allocated to the blast furnace. However, this application still does not consider the improvement of the operation of the torpedo ladle car itself that matches these iron ladle numbers and cannot achieve the effect of automatic issuance and automatic execution.

[0008] In summary, there are many problems in the operation of the torpedo ladle cars used in large blast furnaces in the prior art. Therefore, there is an urgent need for a new method for controlling the operation of self-propelled torpedo ladle cars, which can plan the operation route of the torpedo ladle cars, enable them to avoid conflicts, automatically return, and wait in position, etc., so as to improve the molten iron transportation efficiency of large blast furnaces and reduce the work intensity and labor load of transportation scheduling. Summary of the Invention

[0009] In order to solve various problems existing in torpedo ladle cars for hot metal transportation under the prior art, the present invention provides a self-propelled torpedo ladle car operation control method based on real-time information of steel production. It adopts an intelligent hot metal transportation system based on the steel production interface, making the operation decision-making and operation mode of the torpedo ladle car self-propelled and intelligent, and realizing the unmanned and automated operation of the torpedo ladle car for hot metal transportation.

[0010] The self-propelled torpedo ladle car operation control method based on real-time information of steel production of the present invention is specifically described as follows:

[0011] The self-propelled torpedo ladle car operation control method based on real-time information of steel production includes a torpedo ladle car for hot metal transportation, and is characterized in that:

[0012] The operation of the said torpedo ladle car includes two stages: The first stage is that after the torpedo ladle car receives hot metal at the blast furnace until it is full, the torpedo ladle car in the heavy ladle state runs to the position in the steelmaking area for hot metal pouring operation; The second stage is that after the self-propelled torpedo ladle car finishes hot metal pouring at the steelmaking position, the torpedo ladle car in the empty ladle state returns to the blast furnace to standby. For the above two stages, the self-propelled torpedo ladle car operation control method includes two parts: a heavy ladle operation control method and an empty ladle operation control method, and these two parts are controlled by an intelligent operation decision model.

[0013] According to the self-propelled torpedo ladle car operation control method based on real-time information of steel production of the present invention, it is characterized in that the heavy ladle operation control method of the self-propelled torpedo ladle car is specifically described as follows:

[0014] 1) The intelligent operation decision model collects the signal that the torpedo ladle car has finished receiving hot metal from the signal cabinet at the blast furnace production site, and issues an operation instruction to the self-propelled torpedo ladle car that has finished receiving hot metal according to the hot metal destination distribution principle;

[0015] 2) The self-propelled torpedo ladle car automatically runs to the heavy ladle parking areas in the No. 1 steelmaking area and the No. 2 steelmaking area. The heavy ladle parking areas in the No. 1 steelmaking area and the No. 2 steelmaking area are pre-set with parking positions. The intelligent operation decision model takes the order of the incoming torpedo ladle cars as the priority and automatically allocates the vacant parking positions to the incoming self-propelled torpedo ladle cars.

[0016] 3) After the last self-propelled torpedo ladle car at the blast furnace has received molten iron before the end of tapping, the signal cabinet at the blast furnace production site will generate two signals in sequence. The first is the signal indicating that the self-propelled torpedo ladle car has finished receiving molten iron, and the second is the signal indicating that the molten iron tapping at the blast furnace iron notch has ended. After obtaining these two signals from the signal cabinet at the blast furnace production site, the intelligent operation decision-making model knows that the self-propelled torpedo ladle car has finished receiving molten iron under the blast furnace iron notch and is ready for subsequent operation.

[0017] 4) The intelligent operation decision-making model collects the information of the blast furnace weighing scale from the blast furnace production data monitoring platform. This information is the molten iron weight information in the self-propelled torpedo ladle car and the molten iron level gauge information of the torpedo ladle car. Then, the intelligent operation decision-making model compares the molten iron weight in the self-propelled torpedo ladle car with the set standard full ladle weight.

[0018] 5) In step 4) above, if the molten iron weight in the self-propelled torpedo ladle car is greater than the set standard full ladle weight, this ladle is determined to be a full ladle and meets the condition for transporting molten iron to the No. 1 steelmaking area and the No. 2 steelmaking area. At this time, the intelligent operation decision-making model issues an operation instruction to the self-propelled torpedo ladle car. If the molten iron weight in the self-propelled torpedo ladle car is less than the set standard full ladle weight, this ladle is determined to be a half ladle and does not meet the condition for transporting molten iron to the No. 1 steelmaking area and the No. 2 steelmaking area. The intelligent operation decision-making model does not issue an operation instruction to the self-propelled torpedo ladle car, and this torpedo ladle car stays under the blast furnace waiting to receive molten iron again.

[0019] The half ladle car cannot meet the demand for the amount of molten iron in the steelmaking area, so it needs to wait for the next batch of blast furnace molten iron.

[0020] According to the method for controlling the operation of a self-propelled torpedo ladle car based on real-time information of steel production of the present invention, it is characterized in that the method for controlling the operation of the empty ladle of the self-propelled torpedo ladle car is divided into two different control methods: when the number of empty ladles is greater than the number of empty ladles required by the blast furnace and when the number of empty ladles is less than the number required by the blast furnace. The specific steps are as follows:

[0021] 1) When the number of empty ladles is greater than the number of empty ladles required by the blast furnace:

[0022] When the statistically counted number of empty ladles in the real-time information of steel production is greater than the number of empty ladles required by the blast furnace, the number of self-propelled torpedo ladle cars at this time can meet the demand for empty ladles by the blast furnace. The intelligent operation decision-making model issues an operation instruction to the self-propelled torpedo ladle car closest to the blast furnace tapping yard according to the principle of proximity, considering the actual situation of whether there is a self-propelled torpedo ladle car waiting for orders at the blast furnace tapping yard, and goes to the blast furnace specified by the operation instruction to wait to receive molten iron.

[0023] 2) When the number of empty ladles is less than the number of empty ladles required by the blast furnace:

[0024] When the number of empty tanks counted in the real-time information of steel production is less than the number of empty tanks required by the blast furnace, the number of self-propelled torpedo tank cars at this time cannot meet the number of empty tanks required by the blast furnace, and tanks need to be allocated according to the priority of the urgency of the blast furnace's demand for empty tanks. Specifically, the flow rate of the molten iron is calculated based on the collected weight information of the molten iron in the torpedo tank car and the molten iron level meter information of the torpedo tank car, the change speed of the weighing scale and the change speed of the molten iron level meter, and the remaining load of the torpedo tank car is calculated based on the preset load of the torpedo tank car and the blast furnace weighing scale information. Finally, the calculated molten iron flow rate and the remaining load of the torpedo tank car are integrated to calculate the estimated time when the torpedo tank car will finish receiving the molten iron.

[0025] 3) In the above step 2), after the intelligent operation decision model receives the emptying signal of the self-propelled torpedo tank car at the tank dumping station of the steel plant, it searches for the running time between the location of the self-propelled torpedo tank car and all the workstations of the blast furnace. The intelligent operation decision model compares the running time with the estimated time when the self-propelled torpedo tank car finishes receiving the molten iron, and re-matches the self-propelled torpedo tank car and the blast furnace whose running time is less than the estimated time when the self-propelled torpedo tank car finishes receiving the molten iron and whose running time has the smallest difference with the estimated time, and issues an operation instruction to the matched self-propelled torpedo tank car.

[0026] According to the self-propelled torpedo tank car operation control method based on real-time information of steel production of the present invention, it is characterized in that the principle of allocating the destination of molten iron is that the self-propelled torpedo tank car loaded with molten iron from No. 1 and No. 2 blast furnaces goes to the No. 1 steelmaking area, the self-propelled torpedo tank car loaded with molten iron from No. 3 and No. 4 blast furnaces goes to the No. 2 steelmaking area, and so on.

[0027] According to the self-propelled torpedo tank car operation control method based on real-time information of steel production of the present invention, it is characterized in that the number of parking positions in the heavy tank parking area of ​​the No. 1 steelmaking area and the No. 2 steelmaking area is determined by the total number of self-propelled torpedo tank cars.

[0028] According to the self-propelled torpedo tank car operation control method based on real-time information of steel production of the present invention, it is characterized in that the number of self-propelled torpedo tank cars put into use is determined according to factors such as blast furnace molten iron output, steelmaking production, and iron-steel interface maintenance plan, wherein the number of self-propelled torpedo tank cars put into use on site according to production needs consists of heavy tanks, empty tanks, and blast furnace plugging tanks.

[0029] The plugging tank is the last tank before the last iron tapping is completed.

[0030] According to the self-propelled torpedo tanker operation control method based on real-time information of steel production of the present invention, it is characterized in that the intelligent operation decision model is provided with a manual intervention mode to cope with the unconventional destination of the self-propelled torpedo tanker.

[0031] The self-propelled torpedo ladle car also has unconventional destinations. This kind of unconventional destination is usually due to the needs of steel production. Part of the hot metal needs to be sent to operation points such as electric furnaces, slag skimming, and pretreatment. At the same time, cross-transport of hot metal will also occur. That is, the hot metal from Blast Furnaces 1 and 2 goes to the second steelmaking area, while the hot metal from Blast Furnaces 3 and 4 goes to the first steelmaking area. At this time, the automatic decision-making of the intelligent operation decision-making model cannot cover this operation project, so a manual intervention function is set to meet the artificial setting of the specific destination of the self-propelled torpedo ladle car.

[0032] Using the operation control method of the self-propelled torpedo ladle car based on real-time information of steel production of the present invention has obtained the following

[0033] Beneficial effects:

[0034] 1) The operation control method of the self-propelled torpedo ladle car based on real-time information of steel production of the present invention improves the degree of intelligence, automation and level in the production organization and management of the hot metal transportation system, realizes unmanned, automated and intelligent at the execution level of hot metal transportation, and reduces the pressure and cost at the production organization and management level;

[0035] 2) The operation control method of the self-propelled torpedo ladle car based on real-time information of steel production of the present invention conducts intelligent planning and conflict avoidance for the operation routes during the hot metal transportation process, greatly improving the hot metal transportation efficiency;

[0036] 3) The self-propelled torpedo ladle car controlled by the operation control method of the self-propelled torpedo ladle car based on real-time information of steel production of the present invention can automatically return, and has the functions of automatic alignment and automatic charging;

[0037] 4) The operation control method of the self-propelled torpedo ladle car based on real-time information of steel production of the present invention reduces the working intensity and labor load of hot metal transportation scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is the specific flowchart of the full ladle operation control method of the operation control method of the self-propelled torpedo ladle car based on real-time information of steel production of the present invention;

[0039] Figure 2 It is the control flowchart when the number of empty ladles in the empty ladle operation control method of the operation control method of the self-propelled torpedo ladle car based on real-time information of steel production of the present invention is greater than the number of empty ladles required by the blast furnace;

[0040] Figure 3 It is the control flowchart when the number of empty ladles in the empty ladle operation control method of the operation control method of the self-propelled torpedo ladle car based on real-time information of steel production of the present invention is less than the number of empty ladles required by the blast furnace. DETAILED DESCRIPTION OF THE INVENTION

[0041] The technical means, creative features, achieved objectives and effects realized by a running control method for a self-propelled torpedo ladle car based on production real-time information of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0042] Embodiment

[0043] As Figures 1 to 3 shown, the running control method for a self-propelled torpedo ladle car based on production real-time information of the present invention includes a torpedo ladle car for hot metal transportation. The running of the torpedo ladle car includes two stages: the first stage is that after the torpedo ladle car receives hot metal at the blast furnace until it is full, the torpedo ladle car in the heavy ladle state runs to the position in the steelmaking area for hot metal pouring operation; the second stage is that after the self-propelled torpedo ladle car finishes pouring hot metal at the steelmaking position, the torpedo ladle car in the empty ladle state returns to the blast furnace to standby. For the above two stages, the running control method for the self-propelled torpedo ladle car includes two parts: a heavy ladle running control method and an empty ladle running control method, and these two parts are controlled by an intelligent running decision-making model.

[0044] As Figure 1 shown, the specific steps of the heavy ladle running control method for the self-propelled torpedo ladle car are as follows:

[0045] 1) The intelligent running decision-making model collects the signal that the torpedo ladle car has finished receiving hot metal from the signal cabinet at the blast furnace production site, and issues a running instruction to the self-propelled torpedo ladle car that has finished receiving hot metal according to the hot metal destination distribution principle.

[0046] 2) The self-propelled torpedo ladle car automatically runs to the heavy ladle parking areas in the No. 1 steelmaking area and the No. 2 steelmaking area. The heavy ladle parking areas in the No. 1 steelmaking area and the No. 2 steelmaking area are pre-set with parking positions. The intelligent running decision-making model automatically allocates the remaining parking positions to the incoming self-propelled torpedo ladle cars according to the order of the incoming torpedo ladle cars as the priority.

[0047] 3) When the last self-propelled torpedo ladle car has finished receiving hot metal before the blast furnace tapping ends, the signal cabinet at the blast furnace production site will generate two signals in sequence. The first is the signal that the self-propelled torpedo ladle car has finished receiving hot metal, and the second is the signal that the hot metal at the blast furnace iron notch has finished flowing out. After the intelligent running decision-making model obtains these two signals from the signal cabinet at the blast furnace production site, it knows that the self-propelled torpedo ladle car has finished receiving hot metal under the blast furnace iron notch and has the condition for subsequent running.

[0048] 4) The intelligent running decision-making model collects the blast furnace weighing scale information from the blast furnace production data monitoring platform. This information is the hot metal weight information in the self-propelled torpedo ladle car, as well as the hot metal level gauge information of the torpedo ladle car. Then the intelligent running decision-making model compares the hot metal weight in the self-propelled torpedo ladle car with the set standard heavy ladle weight.

[0049] 5) In the above step 4), if the weight of the molten iron in the self-propelled torpedo tank car is greater than the set standard heavy tank weight, the tank is determined to be a heavy tank, which meets the conditions for transporting molten iron to the No. 1 steelmaking area and the No. 2 steelmaking area. At this time, the intelligent operation decision model issues an operation instruction to the self-propelled torpedo tank car. If the weight of the molten iron in the self-propelled torpedo tank car is less than the set standard heavy tank weight, the tank is determined to be a half tank, which does not meet the conditions for transporting molten iron to the No. 1 steelmaking area and the No. 2 steelmaking area. The intelligent operation decision model does not issue an operation instruction to the self-propelled torpedo tank car, and the torpedo tank car stays under the blast furnace waiting to receive the molten iron for the second time.

[0050] The empty tank operation control method of the self-propelled torpedo tank car is divided into two different control methods: the number of empty tanks is greater than the number of empty tanks required by the blast furnace and the number of empty tanks is less than the number required by the blast furnace. The specific steps are as follows:

[0051] 1) When the number of empty tanks is greater than the number of empty tanks required by the blast furnace:

[0052] like Figure 2 As shown in the figure, when the number of empty tanks in the real-time information of steel production is greater than the number of empty tanks required by the blast furnace, the number of self-propelled torpedo tank cars at this time can meet the demand for empty tanks by the blast furnace. The intelligent operation decision model follows the principle of proximity and combines the actual situation of whether there are self-propelled torpedo tank cars on standby at the blast furnace iron-making yard. It issues an operation instruction to the self-propelled torpedo tank car closest to the blast furnace iron-making yard, and goes to the blast furnace specified by the operation instruction to wait for receiving molten iron.

[0053] 2) When the number of empty tanks is less than the number of empty tanks required by the blast furnace:

[0054] like Figure 3 As shown, when the number of empty tanks in the real-time information of steel production is less than the number of empty tanks required by the blast furnace, the number of self-propelled torpedo tank cars at this time cannot meet the number of empty tanks required by the blast furnace, and tanks need to be allocated according to the priority of the urgency of the blast furnace's demand for empty tanks. Specifically, the flow rate of the molten iron is calculated based on the collected molten iron weight information in the torpedo tank car and the molten iron level meter information of the torpedo tank car, the change speed of the weighing scale and the change speed of the molten iron level meter, and the remaining loading capacity of the torpedo tank car is calculated based on the preset loading capacity of the torpedo tank car and the blast furnace weighing scale information. Finally, the measured molten iron flow rate and the remaining loading capacity of the torpedo tank car are integrated to calculate the estimated time when the torpedo tank car finishes receiving the molten iron.

[0055] 3) In step 2) above, after the intelligent operation decision model receives the signal that the self-propelled torpedo ladle car is emptied at the ladle tipping station in the steelmaking plant, it searches for the running time between the location of the self-propelled torpedo ladle car and all working points of the blast furnace. The intelligent operation decision model compares this running time with the estimated time when the self-propelled torpedo ladle car finishes receiving molten iron. If the running time of the self-propelled torpedo ladle car is less than the estimated time when it finishes receiving molten iron, and the difference between the running time and the estimated time is the smallest, the self-propelled torpedo ladle car and the blast furnace are rematched, and a running instruction is issued to the matched self-propelled torpedo ladle car.

[0056] The principle for allocating the destination of molten iron is as follows: specifically, the self-propelled torpedo ladle cars loaded with molten iron from No. 1 and No. 2 blast furnaces go to the first steelmaking area, and the self-propelled torpedo ladle cars loaded with molten iron from No. 3 and No. 4 blast furnaces go to the second steelmaking area, and so on.

[0057] The number of parking positions in the heavy ladle parking areas of the first steelmaking area and the second steelmaking area is determined by the total number of self-propelled torpedo ladle cars.

[0058] In this embodiment, 6 parking positions are set in the first steelmaking area. The position closest to the steelmaking area for pouring molten iron is the No. 1 parking position. Adjacent to the No. 1 parking position are the No. 2 and No. 3 parking positions, and the No. 4, No. 5, and No. 6 parking positions are close to the No. 2 and No. 3 parking positions. This setting improves the operation efficiency of the self-propelled torpedo ladle cars. Once the self-propelled torpedo ladle car at the No. 1 parking position finishes pouring molten iron, the self-propelled torpedo ladle car at the No. 2 parking position can follow up, and the self-propelled torpedo ladle car at the No. 3 parking position gets ready. If the self-propelled torpedo ladle cars at the No. 2 and No. 3 parking positions finish pouring molten iron, the self-propelled torpedo ladle car at the No. 4 parking position can follow up, and the self-propelled torpedo ladle cars at the No. 5 and No. 6 parking positions get ready.

[0059] In the second steelmaking area of this embodiment, 3 parking positions are adopted. The position closest to the steelmaking area is the No. 1 parking position, and so on. This setting is determined by the characteristics of the second steelmaking area itself.

[0060] The number of self-propelled torpedo ladle cars put into use is determined based on factors such as the molten iron output of the blast furnace, steelmaking production, and the maintenance plan at the iron-steel interface. Among them, the number of self-propelled torpedo ladle cars put into the site according to production needs consists of heavy ladle cars, empty ladle cars, and ladle cars for plugging the tuyere at the blast furnace bottom.

[0061] The intelligent operation decision model is set with a manual intervention mode to handle the non-conventional destinations of self-propelled torpedo ladle cars.

[0062] The operation control method of the self-propelled torpedo ladle car based on real-time steel production information of the present invention improves the degree of intelligence, automation and level of the hot metal transportation system in production organization and management, realizes unmanned, automated and intelligent operation at the execution level of hot metal transportation, and reduces the pressure and cost at the production organization and management level; the operation control method of the self-propelled torpedo ladle car based on real-time steel production information of the present invention conducts intelligent planning and conflict avoidance for the operation route during hot metal transportation, greatly improving the hot metal transportation efficiency; the operation control method of the self-propelled torpedo ladle car based on real-time steel production information of the present invention enables the controlled self-propelled torpedo ladle car to automatically return, and has functions of automatic alignment and automatic charging; the operation control method of the self-propelled torpedo ladle car based on real-time steel production information of the present invention reduces the working intensity and labor load of hot metal transportation scheduling.

[0063] However, those of ordinary skill in the art in this technical field should recognize that the above embodiments are only used to illustrate the present application, rather than to limit the present application. As long as within the scope of the spirit of the present application, changes and modifications to the above embodiments will fall within the scope of the claims of the present application.

Claims

1. A running control method for a self - propelled torpedo ladle car based on real - time information of iron and steel production, including a torpedo ladle car for molten iron transportation, characterized in that: The operation of the torpedo ladle car includes two stages: In the first stage, after the torpedo ladle car receives molten iron at the blast furnace until it is full, the torpedo ladle car in the heavy - ladle state runs to the position in the steel - making area for molten - iron pouring operation; In the second stage, after the self - propelled torpedo ladle car finishes pouring molten iron at the steel - making position, the torpedo ladle car in the empty - ladle state returns to the blast furnace to standby. For the above two stages, the running control method of the self - propelled torpedo ladle car includes two parts: the heavy - ladle running control method and the empty - ladle running control method, and these two parts are controlled by an intelligent operation decision - making model.

2. The self-propelled torpedo car operation control method based on real-time information of steel production according to claim 1, wherein, The specific steps of the heavy - ladle running control method of the self - propelled torpedo ladle car are as follows: 2.1) The intelligent operation decision - making model collects the signal that the torpedo ladle car has finished receiving molten iron from the signal cabinet at the blast - furnace production site, and issues a running instruction to the self - propelled torpedo ladle car that has finished receiving molten iron according to the principle of molten - iron destination allocation; 2.2) The self - propelled torpedo ladle car automatically runs to the heavy - ladle parking areas in the No. 1 steel - making area and the No. 2 steel - making area. The heavy - ladle parking areas in the No. 1 steel - making area and the No. 2 steel - making area are pre - set with parking positions. The intelligent operation decision - making model takes the order of the entering torpedo ladle cars as the priority and automatically allocates the remaining parking positions to the entering self - propelled torpedo ladle cars. 2.3) When the last self - propelled torpedo ladle car has finished receiving molten iron before the blast - furnace tapping ends, the signal cabinet at the blast - furnace production site will generate two signals in sequence. The first is the signal that the self - propelled torpedo ladle car has finished receiving molten iron, and the second is the signal that the molten iron at the blast - furnace iron notch has finished flowing out. After the intelligent operation decision - making model obtains these two signals from the signal cabinet at the blast - furnace production site, it knows that the self - propelled torpedo ladle car has finished receiving molten iron under the blast - furnace iron notch and has the condition for subsequent operation; 2.4) The intelligent operation decision - making model collects the blast - furnace weighing scale information from the blast - furnace production data monitoring platform. This information is the molten - iron weight information in the self - propelled torpedo ladle car, as well as the molten - iron level gauge information of the torpedo ladle car. Then the intelligent operation decision - making model compares the molten - iron weight in the self - propelled torpedo ladle car with the set standard heavy - ladle weight; 2.5) In step 2.4) above, if the molten - iron weight in the self - propelled torpedo ladle car is greater than the set standard heavy - ladle weight, this ladle is determined to be a heavy ladle and meets the condition for transporting molten iron to the No. 1 steel - making area and the No. 2 steel - making area. At this time, the intelligent operation decision - making model issues a running instruction to the self - propelled torpedo ladle car. If the molten - iron weight in the self - propelled torpedo ladle car is less than the set standard heavy - ladle weight, this ladle is determined to be a half - ladle and does not meet the condition for transporting molten iron to the No. 1 steel - making area and the No. 2 steel - making area. The intelligent operation decision - making model does not issue a running instruction to the self - propelled torpedo ladle car, and this torpedo ladle car stays under the blast furnace to wait for receiving molten iron again.

3. The self-propelled torpedo car operation control method based on real-time information of steel production according to claim 1, characterized in that, The empty - ladle running control method of the self - propelled torpedo ladle car is divided into two different control methods when the number of empty ladles is greater than the number of empty ladles required by the blast furnace and when the number of empty ladles is less than the number required by the blast furnace. The specific steps are as follows: 3.1) When the number of empty ladles is greater than the number of empty ladles required by the blast furnace: When the number of empty tanks in the real-time information of steel production is greater than the number of empty tanks required by the blast furnace, the number of self-propelled torpedo tank cars at this time can meet the demand for empty tanks by the blast furnace. The intelligent operation decision model follows the principle of proximity and combines the actual situation of whether there are self-propelled torpedo tank cars on standby at the blast furnace iron-making yard. It issues an operation instruction to the self-propelled torpedo tank car closest to the blast furnace iron-making yard, and the car goes to the blast furnace specified by the operation instruction to wait for receiving molten iron. 3.2) When the number of empty tanks is less than the number of empty tanks required by the blast furnace: When the number of empty tanks counted in the real-time information of steel production is less than the number of empty tanks required by the blast furnace, the number of self-propelled torpedo tank cars at this time cannot meet the number of empty tanks required by the blast furnace, and tanks need to be allocated according to the priority of the urgency of the blast furnace's demand for empty tanks. Specifically, the flow rate of the molten iron is calculated based on the collected weight information of the molten iron in the torpedo tank car and the molten iron level meter information of the torpedo tank car, the change speed of the weighing scale and the change speed of the molten iron level meter, and the remaining load of the torpedo tank car is calculated based on the preset load of the torpedo tank car and the blast furnace weighing scale information. Finally, the calculated molten iron flow rate and the remaining load of the torpedo tank car are integrated to calculate the estimated time when the torpedo tank car will finish receiving the molten iron. 3.3) In the above step 3.2), after the intelligent operation decision model receives the emptying signal of the self-propelled torpedo tank car at the tank dumping station of the steel plant, it searches for the running time between the location of the self-propelled torpedo tank car and all the workstations of the blast furnace. The intelligent operation decision model compares the running time with the estimated time when the self-propelled torpedo tank car finishes receiving the molten iron, and re-matches the self-propelled torpedo tank car and the blast furnace whose running time is less than the estimated time when the self-propelled torpedo tank car finishes receiving the molten iron and whose running time has the smallest difference with the estimated time, and issues an operation instruction to the matched self-propelled torpedo tank car.

4. The self-propelled torpedo car operation control method based on real-time information of steel production according to claim 2, characterized in that, The principle of allocating the destination of molten iron is that the self-propelled torpedo tank cars loaded with molten iron from No. 1 and No. 2 blast furnaces go to the No. 1 steelmaking area, the self-propelled torpedo tank cars loaded with molten iron from No. 3 and No. 4 blast furnaces go to the No. 2 steelmaking area, and so on.

5. The running control method of the self-propelled torpedo car based on the real-time information of steel production according to claim 2, wherein The number of parking spaces in the heavy tank parking areas of the No. 1 steelmaking area and the No. 2 steelmaking area is determined by the total number of self-propelled torpedo tankers.

6. The self-propelled torpedo car operation control method based on real-time information of steel production according to claim 3, characterized in that, The number of self-propelled torpedo tank cars put into use is determined based on factors such as blast furnace molten iron output, steelmaking production, and iron-steel interface maintenance plans. Among them, the number of self-propelled torpedo tank cars put into use on site according to production needs consists of heavy tanks, empty tanks, and blast furnace plugging tanks.

7. The self-propelled torpedo car operation control method based on real-time information of steel production according to claim 1, characterized in that, The intelligent operation decision model is provided with a manual intervention mode to cope with the unconventional destination of the self-propelled torpedo tanker.

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