System for improving alloy absorptivity by pre-deoxidizing molten steel through converter carbon powder

Abstract

The invention relates to the technical field of metallurgical engineering, and discloses a system for pre-deoxidizing molten steel by converter carbon powder to improve alloy absorptivity, which comprises an acquisition module, a processing module, a monitoring module, an analysis module and a warning module, the processing module calculates the adding amount of the carbon powder according to the data set, then the monitoring module monitors and estimates various numerical values in the production process, analyzes abnormal problems possibly existing in the production process in advance, gives an alarm under the condition that the abnormal problems are estimated, reminds workers to check the reasons of the abnormal problems in time, and improves the production efficiency. Carbon powder is added accurately according to the actual situation of molten steel, the production quality is effectively improved, meanwhile, the state of the molten steel is accurately mastered, the adding opportunity of the carbon powder or other alloy elements can be determined in time according to the real-time state, material waste is reduced, the effectiveness of chemical reaction is improved, technological parameters are adjusted in time, and therefore the production problem is avoided.

Description

Technical Field

[0001] The invention relates to the technical field of metallurgical engineering, in particular to a system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate. Background Art

[0002] Molten steel refers to liquid steel formed after high-temperature melting during the steel manufacturing process. Steel in this state has an extremely high temperature, usually around 1600°C, which makes it have good fluidity and easy to form and process. Molten steel is mainly composed of iron, carbon and other alloying elements such as manganese, silicon, phosphorus, sulfur, etc. Among them, the carbon content is particularly critical because it directly affects the mechanical properties and heat treatment characteristics of steel. The oxidizability in molten steel is one of the important factors affecting the absorption rate of alloying elements. When the oxidizability of molten steel is strong, the added alloying elements are easy to react with oxygen to form oxides, thereby reducing the effective concentration and absorption rate of the alloying elements. Through pre-deoxidation treatment, the dissolved oxygen content in molten steel can be effectively reduced, creating a more favorable environment for the subsequent addition of alloying elements. By using carbon powder for pre-deoxidation, the dissolved oxygen content in molten steel can be effectively reduced, thereby reducing the oxidizability of molten steel, which creates a more favorable environment for the subsequent addition of alloying elements and helps to improve its absorption rate.

[0003] During the pre-deoxidation of molten steel by converter carbon powder, if the amount of carbon powder added is insufficient, the deoxidation effect will be poor due to burning. If too much carbon powder is added, if it cannot be completely used for deoxidation or is burned, it will easily cause the carbon content of the molten steel to be abnormal. Therefore, how to strictly control the amount of carbon powder added to ensure that it is within the appropriate range and improve the alloy absorption rate is an urgent problem to be solved in the pre-deoxidation of molten steel by converter carbon powder. At the same time, in the production process, due to various internal and external factors, it is difficult to guarantee the quality of molten steel during the production process. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the deficiencies in the prior art, the present invention provides a system for pre-deoxidizing molten steel with converter carbon powder to improve the alloy absorption rate. The system has the advantages of being convenient for accurately adding carbon powder according to the actual situation of the molten steel, effectively improving the quality of production, and timely discovering production anomalies and making corresponding adjustments based on multiple groups of numerical monitoring and prediction during the molten steel production process, thereby ensuring production quality, etc.

[0006] (II) Technical solution

[0007] To achieve the above object, the present invention provides the following technical solutions: a system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate, comprising a collection module, a processing module, a monitoring module, an analysis module and a warning module;

[0008] The acquisition module includes an initial data acquisition unit and a target data acquisition unit. The initial data acquisition unit collects and numbers the initial molten steel data through a network connection monitor to form an initial data set. The target data acquisition unit collects and numbers the target data through a network connection steel supplier platform to form a target data set. The acquisition module sends the collected data and the data set to the processing module.

[0009] The processing module calculates the amount of carbon powder added Tt according to the initial data set and the target data set and sends it to the monitoring module. The monitoring module collects the real-time oxygen content Sy of the molten steel through the network connection to the online oxygen content analyzer to form a real-time oxygen content data set. The monitoring module also collects the real-time temperature Sw of the molten steel through the network connection to the infrared thermometer to form a real-time temperature set. The monitoring module also collects the real-time carbon content St of the molten steel through the network monitoring equipment to form a real-time carbon content data set. The monitoring module sends the monitored data set to the analysis module;

[0010] The analysis module calculates the estimated oxygen content Yy according to the real-time oxygen content data set, calculates the estimated temperature Yw according to the real-time temperature set, and calculates the estimated carbon amount Yt according to the real-time carbon amount data set, and then compares the estimated oxygen content Yy, the estimated temperature Yw, and the estimated carbon amount Yt with the oxygen content threshold Yy, the temperature threshold Wy, and the carbon amount threshold Ty respectively, and sends a corresponding signal to the warning module when the threshold is exceeded;

[0011] The warning module issues a corresponding alarm according to the corresponding signal.

[0012] Preferably, the expression of the initial data set is: {Gy, Gt, Gm}, wherein Gy, Gt, Gm respectively represent the corresponding numbers of the oxygen content, the total amount of molten steel, and the density of molten steel in the initial data set, and the expression of the target data set is: {My, Mt}, wherein My and Mt respectively represent the target oxygen content and the carbon powder deoxidation power in the target data set.

[0013] Preferably, the calculation formula of the carbon powder addition amount Tt is as follows:

[0014]

[0015] In the above formula, Gy-My represents the oxygen content that needs to be removed, Gt×Gm represents the total mass of molten steel, and R represents the amount of other impurities removed.

[0016] Preferably, the expression of the real-time oxygen content data set is: in, They represent the first real-time oxygen content data and the last real-time oxygen content data in the real-time oxygen content data set respectively, m represents the collection time of the real-time oxygen content data, and n represents the number of real-time oxygen content data collected.

[0017] Preferably, the expression of the real-time temperature set is: in, Represents the first and last real-time temperature data in the real-time temperature set, m represents the collection time of the real-time temperature, and n represents the number of real-time temperature data collected.

[0018] Preferably, the expression of the real-time carbon amount data set is: in, Represents the first and last real-time carbon data in the real-time carbon data set, m represents the collection time of the real-time carbon data, and n represents the number of real-time carbon data collected.

[0019] Preferably, the calculation formula for the estimated oxygen content Yy is:

[0020]

[0021] In the above formula, Represents the real-time oxygen content data set starting from i=2. and The sum of the absolute differences between the previous and next values. n-1 means there are n-1 sets of absolute differences in the real-time oxygen content data set. is the current real-time oxygen content data, and e represents the acquisition time of the current real-time oxygen content data.

[0022] Preferably, the calculation formula of the estimated temperature Yw is:

[0023]

[0024] In the above formula, Represents the real-time temperature data set starting from i=2. and The sum of the absolute differences between the previous and next values. n-1 means there are n-1 sets of absolute differences in the real-time temperature data set. is the current real-time temperature data, and e represents the collection time of the current real-time temperature data.

[0025] Preferably, the estimated carbon amount Yt is calculated as follows:

[0026]

[0027] In the above formula, Represents the real-time carbon data set starting from i=2. and The sum of the absolute differences between the previous and next values. n-1 means there are n-1 sets of absolute differences in the real-time carbon data set. is the current real-time carbon content data, and e represents the collection time of the current real-time carbon content data.

[0028] Preferably, when the estimated oxygen content Yy, estimated temperature Yw, and estimated carbon amount Yt exceed the corresponding oxygen content threshold Yy, temperature threshold Wy, and carbon amount threshold Ty, respectively, signals of abnormal oxygen content, abnormal temperature, and abnormal carbon amount are sent to the warning module, and the warning module issues a corresponding alarm.

[0029] Compared with the prior art, the present invention provides a system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate, which has the following beneficial effects:

[0030] 1. The present invention collects initial data on oxygen content, total amount of molten steel, and density of molten steel, collects target data on target oxygen content and deoxidation power of carbon powder, and then calculates the amount of carbon powder added based on the above data. The amount of carbon powder added is accurately calculated based on actual conditions, which facilitates accurate addition of carbon powder based on the actual conditions of molten steel, and effectively improves the quality of production.

[0031] 2. The present invention monitors the real-time oxygen content, real-time temperature and real-time carbon content in the process of adding molten steel and carbon powder in real time, and then calculates the estimated oxygen content Yy, estimated temperature Yw and estimated carbon content Yt according to the real-time oxygen content data set, the real-time temperature set and the real-time carbon content data set. When the estimated oxygen content Yy, the estimated temperature Yw and the estimated carbon content Yt exceed the corresponding threshold value, an alarm is issued in advance, thereby reminding the staff to check the abnormal cause in time and make corresponding adjustments, so as to more accurately grasp the state of molten steel and improve the overall production efficiency. At the same time, it can timely determine the time to add carbon powder or other alloy elements, reduce material waste and improve the effectiveness of chemical reactions, and timely adjust process parameters to avoid production problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic diagram of the structural system of the present invention; DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] See also Figure 1, a system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate, comprising a collection module, a processing module, a monitoring module, an analysis module and a warning module;

[0035] The acquisition module includes an initial data acquisition unit and a target data acquisition unit. The initial data acquisition unit collects and numbers the initial molten steel data through a network connection monitor to form an initial data set. The target data acquisition unit collects and numbers the target data through a network connection steel supplier platform to form a target data set. The acquisition module sends the collected data and the data set to the processing module.

[0036] The expression of the initial data set is: {Gy, Gt, Gm}, where Gy, Gt, Gm represent the corresponding numbers of oxygen content, total amount of molten steel, and density of molten steel in the initial data set, respectively. The expression of the target data set is: {My, Mt}, where My and Mt represent the target oxygen content and carbon powder deoxidation power in the target data set, respectively.

[0037] The processing module calculates the toner addition amount Tt based on the initial data set and the target data set and sends it to the monitoring module;

[0038] The calculation formula of carbon powder addition amount Tt is as follows:

[0039]

[0040] In the above formula, Gy-My represents the oxygen content that needs to be removed, Gt×Gm represents the total mass of molten steel, and R represents the amount of other impurities removed;

[0041] By collecting initial data on oxygen content, total amount of molten steel, and density of molten steel, and collecting target data on target oxygen content and deoxidation power of carbon powder, the amount of carbon powder added is calculated based on the above data, and the amount of carbon powder added is accurately calculated based on the actual raw materials of molten steel, so as to facilitate accurate addition of carbon powder according to the actual situation of molten steel;

[0042] The monitoring module collects the real-time oxygen content Sy of the molten steel through the network connection to the online oxygen content analyzer to form a real-time oxygen content data set. The monitoring module also collects the real-time temperature Sw of the molten steel through the network connection to the infrared thermometer to form a real-time temperature set. The monitoring module also collects the real-time carbon content St of the molten steel through the network monitoring equipment to form a real-time carbon content data set. The monitoring module sends the monitored data set to the analysis module;

[0043] The expression of the real-time oxygen content data set is:

[0044] The expression of the real-time temperature set is:

[0045] The expression of the real-time carbon data set is:

[0046] in, Respectively represent the first real-time oxygen content data and the last real-time oxygen content data in the real-time oxygen content data set. Represents the first and last real-time temperature data in the real-time temperature set. Represents the first and last real-time carbon data in the real-time carbon data set, m represents the collection time, and n represents the number of collections;

[0047] The analysis module calculates the estimated oxygen content Yy based on the real-time oxygen content data set, calculates the estimated temperature Yw based on the real-time temperature set, and calculates the estimated carbon content Yt based on the real-time carbon content data set;

[0048] The calculation formula for the estimated oxygen content Yy is:

[0049]

[0050] In the above formula, Represents the real-time oxygen content data set starting from i=2. and The sum of the absolute differences between the previous and next values. n-1 means there are n-1 sets of absolute differences in the real-time oxygen content data set. is the current real-time oxygen content data, and e represents the acquisition time of the current real-time oxygen content data;

[0051] The calculation formula for the estimated temperature Yw is:

[0052]

[0053] In the above formula, Represents the real-time temperature data set starting from i=2. and The sum of the absolute differences between the previous and next values. n-1 means there are n-1 sets of absolute differences in the real-time temperature data set. is the current real-time temperature data, and e represents the collection time of the current real-time temperature data;

[0054] The estimated carbon content Yt is calculated as follows:

[0055]

[0056] In the above formula, Represents the real-time carbon data set starting from i=2. and The sum of the absolute differences between the previous and next values. n-1 means there are n-1 sets of absolute differences in the real-time carbon data set. is the current real-time carbon data, and e represents the collection time of the current real-time carbon data;

[0057] Then, the estimated oxygen content Yy, the estimated temperature Yw, and the estimated carbon amount Yt are compared with the oxygen content threshold Yy, the temperature threshold Wy, and the carbon amount threshold Ty, respectively. When the estimated oxygen content Yy, the estimated temperature Yw, and the estimated carbon amount Yt exceed the corresponding oxygen content threshold Yy, the temperature threshold Wy, and the carbon amount threshold Ty, respectively, signals of abnormal oxygen content, abnormal temperature, and abnormal carbon amount are sent to the warning module, and the warning module sends a corresponding alarm;

[0058] By real-time monitoring of the real-time oxygen content, real-time temperature, and real-time carbon content during the process of adding molten steel and carbon powder, the estimated oxygen content Yy, estimated temperature Yw, and estimated carbon content Yt are calculated based on the real-time oxygen content data set, real-time temperature set, and real-time carbon content data set. When the estimated oxygen content Yy, estimated temperature Yw, and estimated carbon content Yt exceed the corresponding thresholds, an alarm is issued in advance, thereby reminding the staff to check the abnormal causes in time and make corresponding adjustments, so as to more accurately grasp the state of molten steel and improve the overall production efficiency. At the same time, it can timely determine the time to add carbon powder or other alloy elements, reduce material waste and improve the effectiveness of chemical reactions, and timely adjust process parameters to avoid production problems.

[0059] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate, characterized in that: It includes collection module, processing module, monitoring module, analysis module and warning module; The acquisition module includes an initial data acquisition unit and a target data acquisition unit. The initial data acquisition unit acquires and numbers the initial molten steel data through a network connection monitor to form an initial data set. The target data acquisition unit acquires and numbers the target data through a network connection steel supplier platform to form a target data set. The acquisition module sends the acquired data and the data set to the processing module. The processing module calculates the amount of carbon powder added Tt according to the initial data set and the target data set and sends it to the monitoring module. The monitoring module collects the real-time oxygen content Sy of the molten steel through the network connection to the online oxygen content analyzer to form a real-time oxygen content data set. The monitoring module also collects the real-time temperature Sw of the molten steel through the network connection to the infrared thermometer to form a real-time temperature set. The monitoring module also collects the real-time carbon content St of the molten steel through the network monitoring equipment to form a real-time carbon content data set. The monitoring module sends the monitored data set to the analysis module; The analysis module calculates the estimated oxygen content Yy according to the real-time oxygen content data set, calculates the estimated temperature Yw according to the real-time temperature set, and calculates the estimated carbon amount Yt according to the real-time carbon amount data set, and then compares the estimated oxygen content Yy, the estimated temperature Yw, and the estimated carbon amount Yt with the oxygen content threshold Yy, the temperature threshold Wy, and the carbon amount threshold Ty respectively, and sends a corresponding signal to the warning module when the threshold is exceeded; The warning module issues a corresponding alarm according to the corresponding signal.

2. The system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate according to claim 1, characterized in that: The expression of the initial data set is: {Gy, Gt, Gm}, where Gy, Gt, Gm represent the corresponding numbers of the oxygen content, the total amount of molten steel, and the density of molten steel in the initial data set, respectively. The expression of the target data set is: {My, Mt}, where My and Mt represent the target oxygen content and the deoxidation power of carbon powder in the target data set, respectively.

3. The system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate according to claim 2, characterized in that: The calculation formula of the carbon powder addition amount Tt is as follows: In the above formula, Gy-My represents the oxygen content that needs to be removed, Gt×Gm represents the total mass of molten steel, and R represents the amount of other impurities removed.

4. The system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate according to claim 3, characterized in that: The expression of the real-time oxygen content data set is: in, They represent the first real-time oxygen content data and the last real-time oxygen content data in the real-time oxygen content data set respectively, m represents the collection time of the real-time oxygen content data, and n represents the number of real-time oxygen content data collected.

5. The system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate according to claim 4, characterized in that: The expression of the real-time temperature set is: in, Represents the first and last real-time temperature data in the real-time temperature set, m represents the collection time of the real-time temperature, and n represents the number of real-time temperature data collected.

6. The system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate according to claim 5, characterized in that: The expression of the real-time carbon data set is: in, Represents the first and last real-time carbon data in the real-time carbon data set, m represents the collection time of the real-time carbon data, and n represents the number of real-time carbon data collected.

7. The system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate according to claim 6, characterized in that: The calculation formula for the estimated oxygen content Yy is: In the above formula, Represents the real-time oxygen content data set starting from i=2. and The sum of the absolute differences between the previous and next values. n-1 means there are n-1 sets of absolute differences in the real-time oxygen content data set. is the current real-time oxygen content data, and e represents the acquisition time of the current real-time oxygen content data.

8. The system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate according to claim 7, characterized in that: The calculation formula of the estimated temperature Yw is: In the above formula, Represents the real-time temperature data set starting from i=2. and The sum of the absolute differences between the previous and next values. n-1 means there are n-1 sets of absolute differences in the real-time temperature data set. is the current real-time temperature data, and e represents the collection time of the current real-time temperature data.

9. The system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate according to claim 8, characterized in that: The estimated carbon amount Yt is calculated as follows: In the above formula, Represents the real-time carbon data set starting from i=2. and The sum of the absolute differences between the previous and next values. n-1 means there are n-1 sets of absolute differences in the real-time carbon data set. is the current real-time carbon content data, and e represents the collection time of the current real-time carbon content data.

10. The system for pre-deoxidizing molten steel with converter carbon powder to improve alloy absorption rate according to claim 9, characterized in that: When the estimated oxygen content Yy, estimated temperature Yw, and estimated carbon amount Yt exceed the corresponding oxygen content threshold Yy, temperature threshold Wy, and carbon amount threshold Ty, respectively, signals of abnormal oxygen content, abnormal temperature, and abnormal carbon amount are sent to the warning module, and the warning module issues a corresponding alarm.

Images