Steelmaking process tracking method using crown block operation data

Abstract

The invention relates to the technical field of steelmaking, and provides a steelmaking process tracking method by using crown block operation data, which comprises the following steps of: 1, acquiring the position and weight information of a crown block, mounting position labels on a crown block track at certain intervals, and mounting a position collector and a weight collector on the crown block, the data are transmitted to the crown block data server in a wireless transmission mode; secondly, steel-making process nodes are divided into different nodes according to the setting positions of a crane ladle of a crown block; step 3, collecting operation data of process equipment in the PLC; and step 4, converting the original data acquired by the crown block into operation data through data processing, filtering out inconsistent data according to the state of the crown block, and putting the compounded data into a crown block operation table. According to the method, the operation data of the crown block is combined with the equipment information of the steelmaking and smelting process, so that the steelmaking process can be comprehensively tracked in real time, the transparency and efficiency of production management are improved, and the whole-process tracking of the steelmaking and smelting process is realized.

Description

Technical Field

[0001] The invention relates to the technical field of steelmaking, in particular to a steelmaking process tracking method using overhead crane operation data. Background Art

[0002] Steelmaking is a complex industrial process that converts raw materials such as iron ore and scrap steel into steel. This process includes multiple steps, such as hot metal pretreatment, converter steelmaking, refining and continuous casting, each of which has an important impact on the quality of the final product.

[0003] In the prior art, there is no process tracking from the iron pouring process to the steelmaking process. From steelmaking to continuous casting, the MES system is used for manual number tracking. When quality problems occur in smelting, it is impossible to track before steelmaking. After steelmaking, there are often tracking problems such as manual number errors, which makes it difficult to trace quality. At the same time, it is impossible to count how long it takes for a bag of molten iron to start from the iron pouring station to the end of continuous casting, which brings a lot of inconvenience to production management. Therefore, in order to solve the above problems, a steelmaking process tracking method using overhead crane operation data was invented. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a steelmaking process tracking method using overhead crane operation data, which solves the problem that it is impossible to track and count the process duration of a bag of molten iron before steelmaking.

[0005] To achieve the above objectives, the present invention is implemented by the following technical scheme: A steelmaking process tracking method using overhead crane operation data comprises the following steps:

[0006] Step 1: Collect the position and weight information of the overhead crane, install position tags at regular intervals on the overhead crane track, install position collectors and weight collectors on the overhead crane, and transmit them to the overhead crane data server via wireless transmission;

[0007] Step 2: dividing the steelmaking process nodes into different nodes according to the position of the overhead crane bag;

[0008] Step 3: Collect the operation data of the process equipment in the PLC;

[0009] Step 4: The original data collected by the overhead crane is converted into operation data through data processing, and the incompatible data is filtered out according to the state of the overhead crane, and the composite data is put into the overhead crane operation table;

[0010] Step 5: Read the crane operation table at regular intervals to read the latest data that has not been processed. The target is the crane position, crane weight, and equipment status information combined with the location process.

[0011] Step 6. Confirm the operation of the overhead crane at each process node according to step 5. Starting from the iron pouring process, generate an overhead crane tracking process number. According to the state of the overhead crane, write the data of the overhead crane into the sitting data and the lifting data, and bring the information of the previous process into the sitting / iron pouring process heat;

[0012] Step 7: Track the overall steelmaking process according to the overhead crane process tracking number, and calculate the overall steelmaking process smelting cycle based on the data of the same overhead crane process tracking number.

[0013] Preferably, the spacing between the position tags installed on the overhead travelling carriage track in step 1 is one meter.

[0014] Preferably, the nodes in the step two include: 1# iron pouring station, 2# iron pouring station, 1# desulfurization station, 2# desulfurization station, intermediate position 1, intermediate position 2, intermediate position 3, in front of 1# converter, in front of 2# converter, in front of 3# converter, after 1# converter, after 2# converter, after 3# converter, south of refining furnace 1, north of refining furnace 1, south of refining furnace 2, north of refining furnace 2, 1# continuous casting machine station and 2# continuous casting machine station.

[0015] Preferably, the equipment collected in step three includes: the weight and position of the ladle car at the iron pouring station, the position and temperature of the ladle car at the desulfurization station, the angle of the converter, the position of the ladle car at the refining furnace, and the weight of the continuous casting ladle arm.

[0016] Preferably, the state of the overhead crane in step 4 includes the position of the overhead crane and the weight of the overhead crane.

[0017] Preferably, the interval time in step five is 30 seconds.

[0018] Preferably, in step six, when the crane state is in the lifting state, the ladle last lowered by the process node lifted by the crane and the crane process tracking number corresponding to the ladle are matched through the process data and the crane operation time data, and then corresponded to the furnace of process smelting, and the process smelting related information is improved into the crane lifting data in the crane operation table.

[0019] Preferably, in step six, when the crane is in the sitting bag operation, the data of the most recent lifting is searched according to the same crane number and crane weight, and the crane lifting data is written into the sitting bag data according to the process conditions.

[0020] Preferably, the hoisting data includes the overhead crane process tracking number.

[0021] Preferably, the data of the same overhead traveling vehicle process tracking number searched in the seventh step include the lifting time when pouring iron and the lowering time of the continuous casting ladle.

[0022] The present invention provides a steelmaking process tracking method using overhead crane operation data. It has the following beneficial effects:

[0023] 1. The present invention combines the overhead crane operation data with the equipment information of the steelmaking process to track the steelmaking process in real time and comprehensively, thereby improving the transparency and efficiency of production management and realizing the whole process tracking of the steelmaking process.

[0024] 2. The present invention can quickly locate the source of problems in the steelmaking process through a table, so that when quality problems occur in the steelmaking process, quality traceability can be quickly performed. This not only helps to solve the problems in a timely manner, but also enhances the controllability of product quality management and realizes quality traceability of the steelmaking system. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A table diagram of the overhead travelling crane operation table of the present invention;

[0026] Figure 2 It is a tabular diagram of the process tracking data of the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with 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 making creative work are within the scope of protection of the present invention.

[0028] The embodiment of the present invention provides a steelmaking process tracking method using overhead crane operation data, comprising the following steps:

[0029] Step 1: Collect the position and weight information of the overhead crane, install position tags every one meter on the overhead crane track, and install position collectors and weight collectors on the overhead crane, and transmit them to the overhead crane data server by wireless transmission;

[0030] Step 2: Divide the steelmaking process nodes into different nodes according to the position of the overhead crane bag, wherein the nodes include: 1# iron pouring station, 2# iron pouring station, 1# desulfurization station, 2# desulfurization station, intermediate position 1, intermediate position 2, intermediate position 3, 1# converter furnace front, 2# converter furnace front, 3# converter furnace front, 1# converter furnace rear, 2# converter furnace rear, 3# converter furnace rear, 1# refining furnace south, 1# refining furnace north, 2# refining furnace south, 2# refining furnace north, 1# continuous casting machine station and 2# continuous casting machine station;

[0031] Step 3: Collect the operation data of the process equipment in the PLC, including: the weight and position of the ladle car at the iron pouring station, the position and temperature of the ladle car at the desulfurization station, the converter angle, the position of the ladle car at the refining furnace, and the weight of the large ladle arm of the continuous casting;

[0032] Step 4: Process the raw data collected by the crane into operation data. According to the position and weight of the crane, filter out the incompatible data and put the composite data into the crane operation table. The table is as follows: Figure 2 As shown;

[0033] Step 5: Read the crane operation table every 30 seconds to read the latest data that has not been processed. The target is the crane position, crane weight, and equipment status information combined with the location process, such as:

[0034] (1) The weight of the ladle car at the iron unloading station and the weight of the overhead crane are within the error range, and the iron unloading car is located at the ladle opening;

[0035] (2) The desulfurization vehicle is at the bag hanging position during desulfurization operation;

[0036] (3) At the front of the converter, the converter angle should be between 20 and 60 degrees when the overhead crane is in the iron-adding state;

[0037] (4) The ladle car at the refining furnace station must be at the ladle hanging position;

[0038] (5) The continuous casting position requires that the continuous casting arm should be at the No. 1 or No. 2 station, and the weight change of the arm should be within the error range with the weight of the overhead crane;

[0039] Step 6. Confirm the operation of the crane at each process node according to step 5. Starting from the iron pouring process, generate a crane tracking process number, and write the crane data into the sitting data and hoisting data according to the state of the crane:

[0040] When the crane is in the hoisting state, the process data and crane operation time data are used to match the ladle that was last lowered by the crane at the process node where the crane is hoisting and the crane process tracking number corresponding to the ladle, and then the ladle is matched with the furnace of process smelting, and the process smelting related information is added to the crane hoisting data in the crane operation table;

[0041] When the crane is in the sitting bag operation, the data of the most recent lifting is searched according to the same crane number and crane weight, and the crane lifting data is written into the sitting bag data according to the process conditions. The lifting data contains the crane process tracking number;

[0042] And bring the information of the previous process into the process of sitting / adding iron;

[0043] Step 7. Track the overall steelmaking process according to the overhead crane process tracking number, and calculate the overall steelmaking process smelting cycle based on the lifting time when pouring iron and the lowering time of the continuous casting ladle found with the same overhead crane process tracking number.

[0044] Experimental example:

[0045] The data obtained by the steelmaking process tracking method using the overhead crane operation data of the above embodiment are as follows:

[0046] Please refer to Figure 2 It can be seen from the table that crane No. 31 sat on an empty package of 97.4 tons at 7:41:38 on 2024 / 8 / 13, and crane No. 31 lifted a heavy package of 257.8 tons at the iron pouring station at 8:06:32 on 2024 / 8 / 13, and the continuous casting was completed at 11:15:25 on 2024 / 8 / 13. The overall smelting cycle is 214 minutes.

[0047] The results show that the present invention, by combining the overhead crane operation data with the equipment information of the steelmaking process, can track the steelmaking process in real time and comprehensively, thereby improving the transparency and efficiency of production management and realizing the full process tracking of the steelmaking process. When quality problems occur in the steelmaking process, the method can quickly locate the source of the problem through a table and conduct quality traceability, which not only helps to solve the problem in a timely manner, but also enhances the controllability of product quality management and realizes quality traceability of the steelmaking system.

[0048] 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 steelmaking process tracking method using overhead crane operation data, characterized in that: The following steps are involved: Step 1: Collect the position and weight information of the overhead crane, install position tags at regular intervals on the overhead crane track, install position collectors and weight collectors on the overhead crane, and transmit them to the overhead crane data server via wireless transmission; Step 2: dividing the steelmaking process nodes into different nodes according to the position of the overhead crane bag; Step 3: Collect the operation data of the process equipment in the PLC; Step 4: The original data collected by the overhead crane is converted into operation data through data processing, and the incompatible data is filtered out according to the state of the overhead crane, and the composite data is put into the overhead crane operation table; Step 5: Read the crane operation table at regular intervals to read the latest data that has not been processed. The target is the crane position, crane weight, and equipment status information combined with the location process. Step 6. Confirm the operation of the overhead crane at each process node according to step 5. Starting from the iron pouring process, generate an overhead crane tracking process number. According to the state of the overhead crane, write the data of the overhead crane into the sitting data and the lifting data, and bring the information of the previous process into the sitting / iron pouring process heat; Step 7: Track the overall steelmaking process according to the overhead crane process tracking number, and calculate the overall steelmaking process smelting cycle based on the data of the same overhead crane process tracking number.

2. The steelmaking process tracking method using overhead crane operation data according to claim 1 is characterized in that: The spacing between the position tags installed on the overhead travelling carriage track in step 1 is one meter.

3. The steelmaking process tracking method using overhead crane operation data according to claim 1 is characterized in that: The nodes in the step 2 include: 1# iron pouring station, 2# iron pouring station, 1# desulfurization station, 2# desulfurization station, intermediate position 1, intermediate position 2, intermediate position 3, in front of 1# converter, in front of 2# converter, in front of 3# converter, after 1# converter, after 2# converter, after 3# converter, south of refining furnace 1, north of refining furnace 1, south of refining furnace 2, north of refining furnace 2, 1# continuous casting machine station and 2# continuous casting machine station.

4. The steelmaking process tracking method using overhead crane operation data according to claim 1 is characterized in that: The equipment collected in the step three includes: the weight and position of the ladle car at the iron pouring station, the position and temperature of the ladle car at the desulfurization station, the converter angle, the position of the ladle car at the refining furnace, and the weight of the continuous casting ladle arm.

5. The steelmaking process tracking method using overhead crane operation data according to claim 1 is characterized in that: The state of the overhead crane in step 4 includes the position of the overhead crane and the weight of the overhead crane.

6. The steelmaking process tracking method using overhead crane operation data according to claim 1 is characterized in that: The interval time in step 5 is 30 seconds.

7. The steelmaking process tracking method using overhead crane operation data according to claim 1 is characterized in that: In step six, when the crane is in the hoisting state, the ladle last lowered by the process node hoisted by the crane and the crane process tracking number corresponding to the ladle are matched through the process data and the crane operation time data, and then corresponded with the furnace of process smelting, and the process smelting related information is completed into the crane hoisting data in the crane operation table.

8. The steelmaking process tracking method using overhead crane operation data according to claim 1, characterized in that: In step six, when the crane is in the sitting bag operation, the data of the most recent lifting is searched according to the same crane number and crane weight, and the crane lifting data is written into the sitting bag data according to the process conditions.

9. The steelmaking process tracking method using overhead crane operation data according to claim 8, characterized in that: The hoisting data includes the overhead crane process tracking number.

10. The steelmaking process tracking method using overhead crane operation data according to claim 1, characterized in that: The data of the same crane process tracking number searched in the seventh step include the lifting time when pouring iron and the lowering time of the continuous casting ladle.

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