A method for automatically forecasting molten iron information after molten iron pretreatment

Abstract

The application provides a molten iron information automatic prediction method after molten iron pretreatment, relates to the steel smelting technical field, and comprises the following steps: S1, a trigger signal, a secondary system generates a processing number and calculates an iron amount, stores into a database and transmits to an MES picture; S2, the MES picture is set as three post sharing; S3, after molten iron arrives at a station, starting is clicked and a tank number is input, the system transmits a pretreatment number, a station number, a temperature and a temperature measuring time to the MES corresponding record; S4, a laboratory simultaneously sends component data to the secondary system and the MES; S5, ending is clicked, the system transmits a slag amount, a molten iron amount into a furnace and a leaving station temperature to the MES; S6, a converter number is hung in the MES picture, and a converter post views and prepares; S7, when direct blending is carried out, the MES automatically searches molten iron components of a previous furnace as reference. The application solves the technical problem of molten iron information loss in direct blending by automatically searching the components of a previous furnace as reference prediction data.

Description

Technical Field

[0001] This invention relates to the field of iron and steel smelting technology, and more particularly to an automatic prediction method for molten iron information after pretreatment. Background Technology

[0002] In the steelmaking process, hot metal pretreatment refers to the purification process, such as desulfurization and dephosphorization, performed on molten hot metal before it enters the converter. After pretreatment, the molten hot metal needs to transmit key information such as its composition, temperature, and iron content to the converter process in a timely manner. This allows converter operators to match the amount of scrap steel and slag-forming materials accordingly; this information transmission process is called hot metal forecasting. The timeliness and accuracy of hot metal forecasting directly affect the stability of converter blowing and the final quality of the molten steel.

[0003] Currently, most steel companies rely on secondary control systems to collect data and transmit information during the hot metal pretreatment process. However, in actual production, these secondary systems have several shortcomings, including inaccurate data, unmodifiable and unmaintainable underlying code, and delayed information transmission. Due to these limitations, furnace information after hot metal pretreatment still largely requires manual forecasting via telephone. When pretreatment capacity cannot meet the converter production pace, the number of direct hot metal heats increases. These heats cannot be sampled and tested at the pretreatment station, and their hot metal composition can only be estimated and predicted.

[0004] The aforementioned telephone forecasting method significantly increases the workload of operators and carries risks such as untimely and inaccurate forecasts. Delayed or inaccurate forecasts directly impact the preparation of scrap steel and slag-forming materials before converter blowing, severely hindering the stable and smooth operation of steelmaking. Current technology cannot achieve automated, real-time, and precise forecasting of molten iron information; therefore, there is an urgent need to develop a molten iron forecasting method that can overcome these shortcomings. Summary of the Invention

[0005] In view of this, the purpose of this invention is to propose an automatic forecasting method for molten iron information after pretreatment, so as to solve the technical problems of untimely and inaccurate forecasting in existing forecasting methods.

[0006] The technical means employed in this invention are as follows: An automatic prediction method for molten iron information after pretreatment includes the following steps: S1. During the iron tapping process at the ladle station, manually trigger the iron tapping start signal and iron tapping end signal. The secondary system automatically generates the ladle processing number, collects the weight of the molten iron ladle and calculates the amount of iron tapped this time. Bind the ladle processing number, ladle number and iron tapping amount into a record and store it in the database. At the same time, automatically transmit the record to the molten iron prediction screen of the Manufacturing Execution System (MES). S2. Set the MES hot metal prediction screen as a shared operation screen for the ladle station, hot metal pretreatment station, and converter station. S3. When the molten iron ladle arrives at the molten iron pretreatment station, the pretreatment operator clicks the furnace start button of the secondary system and enters the molten iron ladle number. The secondary system automatically transmits the molten iron pretreatment number, station number, arrival temperature and temperature measurement time to the record corresponding to the molten iron ladle number in the MES molten iron prediction screen. S4. After the composition analysis of the pretreated molten iron sample is completed, the laboratory system will automatically send the composition data to the corresponding record in the secondary system and the MES molten iron prediction screen at the same time. S5. When the pretreatment operator clicks the furnace end button of the secondary system, the secondary system will automatically transmit the slag removal amount, the amount of molten iron entering the furnace, and the temperature at the station to the corresponding record in the MES molten iron prediction screen. S6. In the MES hot metal forecast screen, the pretreatment station operator assigns the target converter furnace number to the current hot metal ladle according to the steel plant's adjustment plan. The converter station operator checks the forecast information of the hot metal ladle on the MES hot metal forecast screen and prepares scrap steel and slag-forming materials in advance for converter smelting. S7. For direct-flow heats that are poured directly into the converter without going through a hot metal pretreatment station, the MES hot metal forecast screen automatically searches the database and displays the hot metal composition information of the previous heat corresponding to the current hot metal ladle as a reference forecast data on the screen.

[0007] Furthermore, the specific method for calculating the amount of iron tapped in S1 is as follows: subtract the weight of the molten iron ladle at the start of tapping from the weight of the molten iron ladle at the end of tapping.

[0008] Furthermore, the arrival temperature, temperature measurement time, molten iron pretreatment number, and station number mentioned in S3 are automatically collected and pushed by the secondary system after the furnace cycle is triggered.

[0009] Furthermore, during the transmission of component data in S4, the laboratory system simultaneously sends test results to the secondary system and the MES system via the data interface.

[0010] Furthermore, S6 also includes the following operation: the converter operator compares the actual ladle number used for molten iron filling with the ladle number displayed on the molten iron prediction screen to confirm whether an molten iron filling error has occurred.

[0011] Furthermore, the previous heat mentioned in S7 refers to the previous molten iron ladle heat from the same torpedo ladle or the same blast furnace and iron heat.

[0012] Compared with the prior art, the present invention has the following advantages: This method, through the linkage of the secondary system and the MES system, achieves automatic collection and real-time sharing of information such as molten iron composition, temperature, and iron quantity after pretreatment, completely replacing manual telephone forecasts. This significantly improves the timeliness and accuracy of forecasts while reducing the workload of operators. For direct-feeding furnaces where sampling is not possible, this method uses the composition of the previous furnace from the same torpedo ladle or blast furnace as reference forecast data, effectively solving the technical problem of missing molten iron information for direct-feeding furnaces. The converter station can obtain accurate molten iron information in advance to match scrap steel and slag-forming materials, stabilize steelmaking operations, and prevent iron-feeding errors through ladle number comparison. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0015] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0016] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0017] like Figure 1 As shown, the present invention provides an automatic prediction method for molten iron information after pretreatment, comprising the following steps: During the molten iron tapping process at the ladle station, the operator first enters the ladle number, then manually triggers the molten iron start and end signals. Upon receiving these signals, the secondary system automatically generates a ladle tapping processing number and automatically collects the weight of the molten iron ladle. The secondary system calculates the amount of molten iron tapped by subtracting the ladle weight at the start of tapping from the weight at the end of tapping. After calculation, the secondary system binds the ladle tapping processing number, ladle number, and calculated molten iron amount into a single record and stores it in the database. When the operator clicks the ladle tapping end button, the secondary system automatically transmits the ladle tapping processing number, ladle number, and molten iron amount to the molten iron prediction screen of the Manufacturing Execution System (MES), where a record is automatically generated.

[0018] The aforementioned MES molten iron prediction screen is designed as a shared operation screen for three positions: the ladle station, the molten iron pretreatment station, and the converter station. Operators in all three positions can view the information on the screen in real time.

[0019] When the molten iron ladle arrives at the molten iron pretreatment station, the pretreatment operator clicks the furnace start button on the secondary system and enters the current ladle number. After the furnace start is triggered, the secondary system automatically collects and pushes the molten iron pretreatment number, station number, arrival temperature, and temperature measurement time, and automatically transmits this information to the record corresponding to the ladle number in the MES molten iron prediction screen.

[0020] After the pretreated molten iron sample composition analysis is completed, the laboratory system simultaneously sends the composition data to the secondary system and the corresponding record in the MES molten iron prediction screen via a data interface. This transmission process requires no manual intervention, ensuring the real-time nature and accuracy of the composition data.

[0021] After the pretreatment furnace cycle is completed, the pretreatment operator clicks the furnace cycle end button on the secondary system. The secondary system automatically transmits the slag removal amount, molten iron feed amount, and departure temperature to the record corresponding to the same molten iron pretreatment number on the MES molten iron prediction screen.

[0022] In the MES hot metal forecast screen, pretreatment operators assign the target converter heat number to the current hot metal ladle according to the steel plant's scheduling plan. After assignment, converter operators can view all forecast information for that hot metal ladle on the MES hot metal forecast screen, including hot metal quantity, arrival temperature, composition data, slag removal amount, and departure temperature, thus preparing scrap steel and slag-forming materials in advance for converter smelting. Simultaneously, converter operators monitor the actual hot metal ladle number being used for iron addition and compare it with the ladle number displayed on the hot metal forecast screen to confirm whether any addition errors have occurred.

[0023] For direct-flow heats where the molten iron is poured directly into the converter without passing through a pretreatment station, samples cannot be taken and analyzed at the pretreatment station, and the laboratory cannot provide the actual composition of the molten iron in that ladle. To solve this problem, the MES molten iron prediction screen automatically searches the database and displays the molten iron composition information of the previous heat corresponding to the current ladle as a reference for prediction. Here, the previous heat is defined as the previous heat of the same torpedo ladle or the previous heat of the same blast furnace and the same batch of iron. This function allows direct-flow heats to obtain a reasonable reference for molten iron composition, avoiding blind estimation.

[0024] Through the above implementation methods, all heats after molten iron pretreatment and direct-flow heats can achieve timely and accurate forecasting of molten iron information, effectively supporting the stable and smooth operation of converter smelting.

[0025] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An automatic prediction method for molten iron information after pretreatment, characterized in that, Includes the following steps: S1. During the iron tapping process at the ladle station, manually trigger the iron tapping start signal and iron tapping end signal. The secondary system automatically generates the ladle processing number, collects the weight of the molten iron ladle and calculates the amount of iron tapped this time. Bind the ladle processing number, ladle number and iron tapping amount into a record and store it in the database. At the same time, automatically transmit the record to the molten iron prediction screen of the Manufacturing Execution System (MES). S2. Set the MES hot metal prediction screen as a shared operation screen for the ladle station, hot metal pretreatment station, and converter station. S3. When the molten iron ladle arrives at the molten iron pretreatment station, the pretreatment operator clicks the furnace start button of the secondary system and enters the molten iron ladle number. The secondary system automatically transmits the molten iron pretreatment number, station number, arrival temperature and temperature measurement time to the record corresponding to the molten iron ladle number in the MES molten iron prediction screen. S4. After the composition analysis of the pretreated molten iron sample is completed, the laboratory system will automatically send the composition data to the corresponding record in the secondary system and the MES molten iron prediction screen at the same time. S5. When the pretreatment operator clicks the furnace end button of the secondary system, the secondary system will automatically transmit the slag removal amount, the amount of molten iron entering the furnace, and the temperature at the station to the corresponding record in the MES molten iron prediction screen. S6. In the MES hot metal forecast screen, the pretreatment station operator assigns the target converter furnace number to the current hot metal ladle according to the steel plant's adjustment plan. The converter station operator checks the forecast information of the hot metal ladle on the MES hot metal forecast screen and prepares scrap steel and slag-forming materials in advance for converter smelting. S7. For direct-flow heats that are poured directly into the converter without going through a hot metal pretreatment station, the MES hot metal forecast screen automatically searches the database and displays the hot metal composition information of the previous heat corresponding to the current hot metal ladle as a reference forecast data on the screen.

2. The automatic forecasting method for molten iron information after pretreatment according to claim 1, characterized in that, The specific method for calculating the amount of iron tapped in S1 is as follows: subtract the weight of the molten iron ladle at the beginning of tapping from the weight of the molten iron ladle at the end of tapping.

3. The automatic forecasting method for molten iron information after pretreatment according to claim 1, characterized in that, The arrival temperature, temperature measurement time, molten iron pretreatment number, and station number mentioned in S3 are automatically collected and pushed by the secondary system after the furnace cycle is triggered.

4. The automatic forecasting method for molten iron information after pretreatment according to claim 1, characterized in that, When transmitting component data in S4, the laboratory system simultaneously sends test results to the secondary system and the MES system through the data interface.

5. The automatic forecasting method for molten iron information after pretreatment according to claim 1, characterized in that, S6 also includes the following operation: The converter operator compares the actual ladle number of the molten iron being poured with the ladle number displayed on the molten iron prediction screen to confirm whether a pouring error has occurred.

6. The automatic forecasting method for molten iron information after pretreatment according to claim 1, characterized in that, The previous heat mentioned in S7 refers to the previous molten iron ladle from the same torpedo ladle or the same blast furnace and iron batch.

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