Production control system for preventing pulverization of manganese-titanium alloy

Abstract

The invention discloses a production control system for preventing pulverization of manganese-titanium alloy, which comprises a data collection module, a production data analysis module, a stored data analysis module, a data early warning module and a production control module, and is characterized in that the data collection module comprises a production process data reading unit and a stored data reading unit; the data early warning module comprises a production data early warning unit and a storage data early warning unit. According to the production control system for preventing pulverization of the manganese-titanium alloy, the temperatures of the six sampling points in the smelting process are detected, meanwhile, the mean value and the dispersion degree of the six sampling points are calculated, and the local temperature of each sampling point in the smelting process is collected and judged, so that whether heating is uniform or not in the smelting process is fed back; and meanwhile, the cooling rate when the alloy is cooled is calculated and used for feeding back whether the speed fluctuates during cooling or not, so that whether cooling is uniform or not in the cooling process is fed back.

Description

Technical Field

[0001] The invention relates to the technical field of manganese-titanium alloy production, in particular to a production control system for preventing manganese-titanium alloy from pulverizing. Background Art

[0002] Manganese-titanium alloy is an alloy composed of manganese, titanium, iron, a small amount of carbon and other elements. It is an alloy with wide applications and large output. Manganese-titanium alloy is usually produced in an electric furnace. The raw materials for producing manganese-titanium alloy include manganese ore, coke, titanium, dolomite, etc.

[0003] However, the production process of manganese-titanium alloy on the market is mostly manually operated due to improper operation. Therefore, problems arising in the production process are not responded to in time, resulting in pulverization of manganese-titanium alloy. In addition, improper storage of processed manganese-titanium alloy may also lead to pulverization of manganese-titanium alloy. Therefore, a production control system to prevent pulverization of manganese-titanium alloy is proposed. 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 production control system for preventing manganese-titanium alloy from pulverizing, which has the advantages of accurately identifying problematic production processes and solves the above-mentioned technical problems.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a production control system for preventing manganese-titanium alloy from pulverizing, comprising a data collection module, a production data analysis module, a storage data analysis module, a data early warning module and a production control module; the data collection module comprises a production process data reading unit and a storage data reading unit, the production process data reads and stores the real-time data of the temperature change data set SCT, the melting time SCRT, the cooling time SCL and the cooling temperature data set SCLT of multiple sampling points in the production process of the manganese-titanium alloy in real time, the storage data unit collects the temperature and humidity of the processed manganese-titanium alloy when it is stored, and the data collection module sends the collected data to the production data analysis module and the storage data analysis module for analysis respectively;

[0008] The production data analysis module is used to analyze the data in the production process of manganese-titanium alloy, including the temperature change, temperature fluctuation, smelting time, cooling time and cooling rate in the production process, and send the analysis results to the data early warning module;

[0009] The storage data analysis module is used to analyze the data in the storage environment of qualified manganese-titanium alloys during the production process, including analyzing the temperature and humidity during storage, and sending the analysis results to the data early warning module;

[0010] The data early warning module includes a production data early warning unit and a storage data early warning unit. The production data storage unit is used to judge the analysis results of the production data analysis module. The storage data early warning unit judges the analysis results in the storage data analysis module and sends the results to the production control module after the judgment is completed.

[0011] The production control module is used to process the data in the data early warning module and remind the staff to actively carry out maintenance based on the output results of the data early warning module.

[0012] As a preferred technical solution of the present invention, the specific expressions of the temperature change data set SCT and the cooling temperature data set SCLT of multiple sampling points established by the production process data reading unit are as follows:

[0013] SCT={SCT1 SCT2 … SCT n}

[0014] SCT i =[scT i,1 sC i,2 …scT i,6 ]

[0015] SCLT=[sclT1 sclT2 … sclT m ]

[0016] Among them, SCT1 SCT2 … SCT n Represents a temperature data set at n different times,

[0017] sC i,1 sC i,2 … scT i,6 Respectively represent the temperature of 1 to 6 different sampling points at time i, sclT1 sclT2… sclT m represents m different cooling temperatures, and m is the cooling time SCL divided into m time points.

[0018] As a preferred technical solution of the present invention, the production data analysis module analyzes the temperature change data set SCT including the following steps: A1, calculating the mean of the temperature change data at each moment;

[0019] A2. Calculate the discrete conditions of the temperature at different sampling points through an algorithm formula for the temperature change data at each moment;

[0020] A3. Send the data to the data warning module.

[0021] As a preferred technical solution of the present invention, the calculation formulas of step A1 and step A2 are as follows:

[0022]

[0023] in, represents the average temperature of 1 to 6 different sampling points at time i, F i (SCT) represents the temperature variance of 1 to 6 different sampling points at time i.

[0024] As a preferred technical solution of the present invention, the production data analysis module determines the cooling time and cooling rate in the following steps: B1, calculating the temperature change rate of adjacent time nodes;

[0025] B2. Send the calculated temperature change rate to the data warning unit.

[0026] As a preferred technical solution of the present invention, the calculation expression in step B1 is as follows:

[0027]

[0028] Where, ΔV l Indicates the cooling temperature change rate at the lth time point, sclT l and sclT l-1 They represent the cooling temperature at the lth time point and the cooling temperature at the l-1th time point respectively. SCL represents the total cooling time, which is to divide the cooling time SCL into m time points. |*| represents the absolute value.

[0029] As the preferred technical solution of the present invention, the storage data analysis module establishes comprehensive indicators Specific comprehensive indicators for evaluating the storage environment of manganese-titanium alloy The expression is as follows:

[0030]

[0031] Among them, cfT and cfRH represent the storage indicators of temperature and humidity respectively, cfT∈[1,2,3,4,5], cfRH∈[1,2,3,4,5], ω1 and ω2 represent the weights of temperature and humidity respectively, and ω1<ω2.

[0032] As a preferred technical solution of the present invention, the specific steps of the production data early warning unit heating temperature judgment are as follows:

[0033] C1, the mean value at the i-th moment in the production process Make a judgment, if If it is less than the minimum value of the i-th moment in the historical data, the smelting temperature warning is directly output. If it is greater than the minimum value at the i-th moment in the historical data, the smelting temperature is output as safe, and step C2 is executed;

[0034] C2, against F i (SCT) value to judge, if F i (SCT)>F0(SCT), it indicates that there are local abnormal points among the 6 sampling points, and the output melting temperature is uneven. F0(SCT) represents the temperature discrete threshold. i (SCT)≤F0(SCT), the output melting temperature is uniform.

[0035] As a preferred technical solution of the present invention, the specific process of determining the cooling temperature of the production data analysis module is as follows: if any ΔV l >v, where v represents the cooling rate threshold, there will be a problem with the output temperature fluctuation.

[0036] As the preferred technical solution of the present invention, the data early warning unit stores the comprehensive index Make a judgment, if the comprehensive indicators It indicates that the storage environment is safe. If the comprehensive index This indicates that the storage environment is unsafe and the output storage environment is risky. Compared with the prior art, the present invention provides a production control system to prevent manganese-titanium alloy from pulverizing, which has the following beneficial effects:

[0037] 1. The present invention detects the temperature of 6 sampling points in the smelting process and calculates the mean and the dispersion of the 6 sampling points to collect and judge the local temperature of each sampling point in the smelting process, so as to feedback whether the heating is uniform in the smelting process. At the same time, the cooling rate of the alloy is calculated to feedback whether there is a fluctuation in the speed during the cooling, such as a large drop in a certain time zone, so as to feedback whether the cooling process is uniform.

[0038] 2. The present invention establishes a storage comprehensive index and a storage data early warning unit for the comprehensive index. Make a judgment, if the comprehensive indicators It indicates that the storage environment is safe. If the comprehensive index This indicates that the storage environment is unsafe and the output storage environment is risky. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 Schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION

[0040] 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.

[0041] See also Figure 1 , a production control system for preventing manganese-titanium alloy from pulverizing, comprising a data collection module, a production data analysis module, a storage data analysis module, a data early warning module and a production control module;

[0042] The data collection module includes a production process data reading unit and a storage data reading unit. The production process data reads and stores the real-time data of the temperature change data set SCT, smelting time SCRT, cooling time SCL and cooling temperature data set SCLT of multiple sampling points in the production process of the manganese-titanium alloy in real time. The storage data unit collects the temperature and humidity of the processed manganese-titanium alloy during storage. The data collection module sends the collected data to the production data analysis module and the storage data analysis module for analysis. The production data analysis module is used to analyze the data in the production process of the manganese-titanium alloy, including the temperature change, temperature fluctuation, smelting time, cooling time and cooling rate in the production process, and sends the analysis results to the data early warning module. The storage data analysis module is used to analyze the data in the storage environment of the qualified manganese-titanium alloy in the production process, including the temperature and humidity during storage, and sends the analysis results to the data early warning module. In the warning module, the data warning module includes a production data warning unit and a storage data warning unit. The production data storage unit is used to judge the analysis results of the production data analysis module, and the storage data warning unit judges the analysis results in the storage data analysis module. After the judgment is completed, the result is sent to the production control module. The temperature of the 6 sampling points in the smelting process is detected, and the mean and discrete degree of the 6 sampling points are calculated at the same time. It is used to collect and judge the local temperature of each sampling point in the smelting process, so as to feedback whether the heating is uniform in the smelting process. At the same time, the cooling rate of the alloy is calculated when it is cooled. It is used to feedback whether the speed fluctuates during the cooling process, such as a large drop in a certain time zone, so as to feedback whether the cooling process is uniform. Further, the specific expressions of the temperature change data set SCT and the cooling temperature data set SCLT of multiple sampling points established by the production process data reading unit are as follows:

[0043] SCT={SCT1 SCT2 … SCT n}

[0044] SCT i=[scT i,1 sC i,2 … scT i,6 ]

[0045] SCLT=[sclT1 sclT2 … sclT m ]

[0046] Among them, SCT1 SCT2 … SCT n Represents a temperature data set at n different times,

[0047] sC i,1 sC i,2 … scT i,6 Respectively represent the temperature of 1 to 6 different sampling points at time i,

[0048] sclT1 sclT2 … sclT m represents m different cooling temperatures, and m is the cooling time SCL divided into m time points.

[0049] Furthermore, the production data analysis module analyzes the temperature change data set SCL including the following steps:

[0050] A1. Calculate the mean of the temperature change data at each moment;

[0051] A2. Calculate the discrete conditions of the temperature at different sampling points through an algorithm formula for the temperature change data at each moment;

[0052] A3. Send the data to the data warning module.

[0053] Furthermore, the calculation formulas of step A1 and step A2 are as follows:

[0054]

[0055] in, represents the average temperature of 1 to 6 different sampling points at time i, F i (SCT) represents the temperature variance of 1 to 6 different sampling points at time i.

[0056] Furthermore, the production data analysis module determines the cooling time and cooling rate in the following steps:

[0057] B1. Calculate the temperature change rate of adjacent time nodes;

[0058] B2. Send the calculated temperature change rate to the data warning unit.

[0059] Furthermore, the calculation expression in step B1 is as follows:

[0060]

[0061] Where, ΔV l Indicates the cooling temperature change rate at the lth time point, sclT l and sclT l-1 They represent the cooling temperature at the lth time point and the cooling temperature at the l-1th time point respectively. SCL represents the total cooling time, which is to divide the cooling time SCL into m time points. |*| represents the absolute value.

[0062] Furthermore, the storage data analysis module establishes comprehensive indicators Specific comprehensive indicators for evaluating the storage environment of manganese-titanium alloy The expression is as follows:

[0063]

[0064] Among them, cfT and cfRH represent the storage indicators of temperature and humidity respectively, cfT∈[1,2,3,4,5], cfRH∈[1,2,3,4,5], ω1 and ω2 represent the weights of temperature and humidity respectively, and ω1<ω2.

[0065] Furthermore, the specific steps of the production data early warning unit heating temperature judgment are as follows:

[0066] C1, the mean value at the i-th moment in the production process Make a judgment, if If it is less than the minimum value of the i-th moment in the historical data, the smelting temperature warning is directly output. If it is greater than the minimum value at the i-th moment in the historical data, the smelting temperature is output as safe, and step C2 is executed;

[0067] C2, against F i (SCT) value to judge, if F i (SCT)>F0(SCT), it indicates that there are local abnormal points among the 6 sampling points, and the output melting temperature is uneven. F0(SCT) represents the temperature discrete threshold. i (SCT)≤F0(SCT), the output melting temperature is uniform.

[0068] Furthermore, the specific process of cooling temperature determination of the production data analysis module is as follows: if any ΔV l >v, where v represents the cooling rate threshold, there will be a problem with the output temperature fluctuation.

[0069] Furthermore, the data early warning unit stores comprehensive indicators Make a judgment, if the comprehensive indicators It indicates that the storage environment is safe. If the comprehensive index This indicates that the storage environment is unsafe and the output storage environment is risky.

[0070] The production control module is used to process the data in the data early warning module, and remind the staff to take the initiative to carry out maintenance based on the output of the data early warning module, such as whether the melting temperature is uniform, whether the melting temperature is safe, whether there are problems with the temperature fluctuation, and whether the storage environment is safe.

[0071] 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 production control system for preventing manganese-titanium alloy from pulverizing, characterized in that: It includes data collection module, production data analysis module, storage data analysis module, data early warning module and production control module; The data collection module includes a production process data reading unit and a storage data reading unit. The production process data reads and stores the real-time data of the temperature change data set SCT, the smelting time SCRT, the cooling time SCL and the cooling temperature data set SCLT of multiple sampling points in the production process of the manganese-titanium alloy in real time. The storage data unit collects the temperature and humidity of the processed manganese-titanium alloy when it is stored. The data collection module sends the collected data to the production data analysis module and the storage data analysis module for analysis respectively. The production data analysis module is used to analyze the data in the production process of manganese-titanium alloy, including analyzing the temperature change, temperature fluctuation, smelting time, cooling time and cooling rate in the production process and sending the analysis results to the data early warning module; The storage data analysis module is used to analyze the data in the storage environment of qualified manganese-titanium alloys during the production process, including analyzing the temperature and humidity during storage, and sending the analysis results to the data early warning module; The data early warning module includes a production data early warning unit and a storage data early warning unit. The production data storage unit is used to judge the analysis results of the production data analysis module. The storage data early warning unit judges the analysis results in the storage data analysis module and sends the results to the production control module after the judgment is completed. The production control module is used to process the data in the data early warning module and remind the staff to actively carry out maintenance according to the output results of the data early warning module.

2. A production control system for preventing manganese-titanium alloy from pulverizing according to claim 1, characterized in that: The specific expressions of the temperature change data set SCT and the cooling temperature data set SCLT of multiple sampling points established by the production process data reading unit are as follows: SCT={SCT1 SCT2 … SCT n } SCT i =[scT i,1 scT i,2 … scT i,6 ] SCLT=[sclT1 sclT2 … sclT m ] Among them, SCT1 SCT2 … SCT n Represents a temperature data set at n different times, sC i,1 sC i,2 … scT i,6 Respectively represent the temperature of 1 to 6 different sampling points at time i, sclT1 sclT2 … sclT m represents m different cooling temperatures, and m is the cooling time SCL divided into m time points.

3. A production control system for preventing manganese-titanium alloy from pulverizing according to claim 2, characterized in that: The production data analysis module analyzes the temperature change data set SCT including the following steps: A1. Calculate the mean of the temperature change data at each moment; A2. Calculate the discrete conditions of the temperature at different sampling points through an algorithm formula for the temperature change data at each moment; A3. Send the data to the data warning module.

4. A production control system for preventing manganese-titanium alloy from pulverizing according to claim 3, characterized in that: The calculation formulas of step A1 and step A2 are as follows: in, represents the average temperature of 1 to 6 different sampling points at time i, F i (SCT) represents the temperature variance of 1 to 6 different sampling points at time i.

5. A production control system for preventing manganese-titanium alloy from pulverizing according to claim 2, characterized in that: The production data analysis module determines the cooling time and cooling rate in the following steps: B1. Calculate the temperature change rate of adjacent time nodes; B2. Send the calculated temperature change rate to the data warning unit.

6. A production control system for preventing manganese-titanium alloy from pulverizing according to claim 5, characterized in that: The calculation expression in step B1 is as follows: Where, ΔV l Indicates the cooling temperature change rate at the lth time point, sclT l and sclT l-1 They represent the cooling temperature at the lth time point and the cooling temperature at the l-1th time point respectively. SCL represents the total cooling time, which is to divide the cooling time SCL into m time points. |*| represents the absolute value.

7. A production control system for preventing manganese-titanium alloy from pulverizing according to claim 1, characterized in that: The storage data analysis module establishes comprehensive indicators Specific comprehensive indicators for evaluating the storage environment of manganese-titanium alloy The expression is as follows: Among them, cfT and cfRH represent the storage indicators of temperature and humidity respectively, cfT∈[1,2,3,4,5], cfRH∈[1,2,3,4,5], ω1 and ω2 represent the weights of temperature and humidity respectively, and ω1<ω2.

8. A production control system for preventing manganese-titanium alloy from pulverizing according to claim 4, characterized in that: The specific steps of the production data early warning unit heating temperature judgment are as follows: C1, the mean value at the i-th moment in the production process Make a judgment, if If it is less than the minimum value of the i-th moment in the historical data, the smelting temperature warning is directly output. If it is greater than the minimum value at the i-th moment in the historical data, the smelting temperature is output as safe, and step C2 is executed; C2, against F i (SCT) value to judge, if F i (SCT)>F0(SCT), it indicates that there are local abnormal points among the 6 sampling points, and the output melting temperature is uneven. F0(SCT) represents the temperature discrete threshold. i (SCT)≤F0(SCT), the output melting temperature is uniform.

9. A production control system for preventing manganese-titanium alloy from pulverizing according to claim 6, characterized in that: The specific process of cooling temperature determination of the production data analysis module is as follows: if any ΔV l >v, where v represents the cooling rate threshold, there will be a problem with the output temperature fluctuation.

10. A production control system for preventing manganese-titanium alloy from pulverizing according to claim 7, characterized in that: The storage data early warning unit is used for comprehensive indicators Make a judgment, if the comprehensive indicators It indicates that the storage environment is safe. If the comprehensive index This indicates that the storage environment is unsafe and the output storage environment is risky.

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