Automatic control system of multi-purpose furnace

Abstract

The invention discloses an automatic control system for a multi-purpose furnace, relates to the technical field of multi-purpose furnace control, and solves the technical problems that some defects exist in the aspects of monitoring, analysis and adjustment of operation parameters and control parameters, and the production requirements of high precision and high efficiency cannot be met. The operation parameters and control parameters of the multi-purpose furnace are comprehensively collected through the multi-purpose furnace parameter collection module, the operation state of the multi-purpose furnace can be accurately reflected, the normal operation monitoring module monitors the change of the operation parameters of the multi-purpose furnace with the time t as the period, the abnormal operation analysis module deeply analyzes the abnormal working result, and the normal operation state of the multi-purpose furnace can be accurately reflected. Judging correctness of the operation parameters and the control parameters, and if the operation parameters are abnormal, generating adjustment information based on the abnormal parameters; meanwhile, by means of correlation analysis of the temperature and the atmosphere parameters, the atmosphere parameter V is calculated and adjusted, adjustment and atmosphere flow analysis are carried out with the atmosphere parameter V as the standard, control information is generated, and the adjustment accuracy of the multi-purpose furnace is improved.

Description

Technical Field

[0001] The invention relates to the technical field of multi-purpose furnace control, in particular to an automatic control system for a multi-purpose furnace. Background Art

[0002] In the field of industrial automation production, multi-purpose furnaces, as an important heat treatment equipment, are widely used in machinery manufacturing, automobile, aerospace and other industries. In order to improve the production efficiency of multi-purpose furnaces, ensure product quality and reduce energy consumption, multi-purpose furnaces need to be automatically controlled.

[0003] According to the publication number CN117964213A, an automated control system and method for a full-oxygen combustion glass furnace is disclosed. The system includes: a monitoring data acquisition module, which is used to obtain basic data of the glass furnace and real-time status data of the furnace, and obtain multi-dimensional monitoring data using a preset soft measurement model; an analysis and processing module, which is used to establish a combustion control model based on a deep learning neural network with multi-dimensional monitoring data as input, and use the model to obtain a control scheme and multi-dimensional prediction results of the glass furnace; an instruction output module, which is used to generate control instructions according to the glass furnace control scheme and adjust the operating status of the glass furnace system.

[0004] However, the current multi-purpose furnace automation control system still has some deficiencies in the monitoring, analysis and adjustment of operating parameters and control parameters, and cannot meet the high-precision and high-efficiency production requirements. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a multi-purpose furnace automation control system, which solves the problem that there are still some deficiencies in the monitoring, analysis and adjustment of operating parameters and control parameters, and cannot meet the high-precision and high-efficiency production requirements.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multi-purpose furnace automatic control system, comprising:

[0007] The multi-purpose furnace state recognition module recognizes the state of the multi-purpose furnace according to the acquired operating parameters and historical data, and generates a state recognition result, and transmits the normal working result in the recognition result to the normal operation monitoring module, and transmits the abnormal working result in the recognition result to the abnormal operation analysis module;

[0008] The normal operation monitoring module is used to monitor the subsequent operation of the multi-purpose furnace according to the normal operation results obtained, and to monitor and generate monitoring results based on the changes in the operating parameters, and transmit the monitoring results to the control information output module;

[0009] The operation abnormality analysis module is used to analyze the abnormal working results obtained, generate control parameter abnormality signals and adjustment information by analyzing the operation parameters and control parameters of the multi-purpose furnace, and generate control information by analyzing the control parameters and combining the relationship between temperature and atmosphere parameters for the control parameter abnormality signals, and transmit the control information to the control information output module at the same time.

[0010] As a further solution of the present invention: it also includes a multi-purpose furnace parameter acquisition module and a control information output module;

[0011] The multi-purpose furnace parameter acquisition module is used to collect the operating parameters and control parameters of the multi-purpose furnace, and transmit the collected operating parameters and control parameters to the multi-purpose furnace state identification module;

[0012] The control information output module is used to display the acquired monitoring results and control information to the corresponding operators.

[0013] As a further solution of the present invention: the specific method of generating the state recognition result by the multi-purpose furnace state recognition module is:

[0014] The historical operating parameters are obtained and integrated into a normal operating range, and the current operating parameters are compared with the range. If they are within the range, the multi-purpose furnace is judged to be operating normally and a normal result is generated; otherwise, if they are not within the range, the operation is judged to be abnormal and an abnormal result is generated.

[0015] As a further solution of the present invention: the specific manner in which the normal operation monitoring module monitors the normal operation result and generates the monitoring result is:

[0016] With time t as a period, the changes in the operating parameters of the multi-purpose furnace are monitored, and the corresponding change values ​​are obtained. The obtained change values ​​are plotted, and then a judgment is made based on the plotted graph, and a normal monitoring signal and an early warning signal are generated.

[0017] As a further solution of the present invention: the specific method in which the normal operation monitoring module makes a judgment based on the graph is:

[0018] If the corresponding graph is a flat graph, it means that the operating status of the multi-purpose furnace is normal within the time period t, and a normal monitoring signal is generated. If the corresponding graph is a sudden change graph, it means that the operating status of the multi-purpose furnace is unstable within the time period t, and a warning signal is generated.

[0019] As a further solution of the present invention: the specific method of analyzing the abnormal working result by the operation abnormality analysis module is:

[0020] Determine the correctness of the operating parameters and control parameters. If there is an abnormality in the operating parameters, obtain the corresponding abnormal parameters, and generate adjustment information based on the abnormal parameters. At the same time, transmit the adjustment information to the control information output module. If there is an abnormality in the control parameters, generate a control parameter abnormal signal, and further analyze the control parameter abnormal signal.

[0021] As a further solution of the present invention: the specific method in which the abnormal operation analysis module analyzes the abnormal control parameter signal is:

[0022] The control parameters corresponding to the multi-purpose furnace are obtained, and the standard values ​​corresponding to the control parameters are obtained at the same time. Then, the temperature corresponding to the multi-purpose furnace is recorded as C, and the correlation between the temperature C of the multi-purpose furnace and the atmosphere parameters is determined. The specific determination method is as follows:

[0023] The relationship between the reaction rate constant k and the temperature C is expressed based on the Arrhenius equation, and the specific relationship is: Where A is the pre-factor, Ea is the activation energy, R is the gas constant, which here represents the gas in the multi-purpose furnace, and C is the temperature;

[0024] At the same time, the corresponding reaction rate constants are calculated based on different temperatures, and the average of all reaction rate constants is calculated, and the calculated average is used as the temperature influence factor.

[0025] As a further solution of the present invention: the specific method of generating control information by combining the relationship between temperature and atmosphere parameters by the operation abnormality analysis module is:

[0026] The difference between the multi-purpose furnace temperature C and the standard value temperature C1 is calculated and recorded as Cp. At the same time, the atmosphere parameters are adjusted according to the temperature difference Cp. The specific adjustment method is as follows:

[0027] The relationship between the atmosphere parameters and the reaction rate is obtained according to the formula, and the specific relationship formula is r = (k·P A 2 · P B) · V, where P A and P B are the concentrations of gases A and B respectively, k is the reaction rate constant, and here k is the temperature influence factor calculated above, r is the reaction rate, V is the sum of the volumes of gas A and gas B, and the relationship between gas concentration and volume is obtained according to the relationship PV=nRC, where P is the gas concentration, V is the gas volume, n is the amount of gas substance, R is the ideal gas constant, and C is the temperature. Then the atmosphere adjustment parameters are calculated according to the relationship, and the specific relationship is P A V1=nRCp, the atmosphere adjustment parameter V1 is calculated by the above formula;

[0028] At the same time, the atmosphere parameter V1 is used as the standard for adjustment, and the atmosphere flow rate during the adjustment process is analyzed. The specific analysis method is: obtaining historical data, and calculating the average value of the atmosphere flow rate in the historical data, and at the same time using the calculated average value of the atmosphere flow rate as the standard to generate the adjustment standard;

[0029] The adjustment standard and the adjustment atmosphere parameter are combined to generate control information, and the control information is transmitted to the control information output module.

[0030] The present invention provides a multi-purpose furnace automatic control system. Compared with the prior art, it has the following beneficial effects:

[0031] The present invention comprehensively collects the operating parameters and control parameters of the multi-purpose furnace, including voltage, current, power, furnace temperature and atmosphere parameters, etc., through the multi-purpose furnace parameter acquisition module, which can accurately reflect the operating status of the multi-purpose furnace. The normal operation monitoring module monitors the changes in the operating parameters of the multi-purpose furnace with time t as a period. The abnormal operation analysis module conducts in-depth analysis of abnormal working results to judge the correctness of the operating parameters and control parameters. If the operating parameters are abnormal, adjustment information is generated based on the abnormal parameters. At the same time, through the correlation analysis of temperature and atmosphere parameters, the adjustment atmosphere parameter V is calculated, and it is used as a standard for adjustment and atmosphere flow analysis, and control information is generated to improve the accuracy of multi-purpose furnace adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is the principle diagram of the system of the present invention;

[0033] Figure 2 This is a graphic judgment diagram of the present invention. DETAILED DESCRIPTION

[0034] 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.

[0035] For example, see Figure 1 and Figure 2 The present application provides a multi-purpose furnace automatic control system, including: a multi-purpose furnace parameter acquisition module, a multi-purpose furnace state recognition module, a normal operation monitoring module, an abnormal operation analysis module and a control information output module, and at the same time, in combination with the attached Figure 1 It can be known that all the above functional modules are directly connected by unidirectional wires, and are transmitted from the output end to the input end of the next functional module.

[0036] The multi-purpose furnace parameter acquisition module is used to collect the operating parameters and control parameters of the multi-purpose furnace, and transmit the collected operating parameters and control parameters to the multi-purpose furnace state identification module. Specifically, for the multi-purpose furnace, the corresponding operating parameters include the voltage, current and power of the multi-purpose furnace, and the control parameters include the furnace temperature and atmosphere parameters of the multi-purpose furnace. The specific atmosphere parameters are mainly the amount of protective gas or reaction gas added in the furnace and the addition speed.

[0037] The multi-purpose furnace state identification module identifies the multi-purpose furnace state according to the acquired operating parameters and historical data, and generates a state identification result. At the same time, the normal working result in the identification result is transmitted to the normal operation monitoring module, and the abnormal working result in the identification result is transmitted to the abnormal operation analysis module. The specific method of generating the state identification result is:

[0038] Historical data is obtained, and the historical operating parameters in the historical data are integrated to obtain a normal working range. The historical operating parameters obtained here are the operating parameters corresponding to normal working conditions, and the normal working condition means working with the standard parameters of the multi-purpose furnace. Then the obtained operating parameters are matched with the normal working range. If the operating parameters exist within the normal working range, it indicates that the operating status of the multi-purpose furnace is normal, and a normal working result is generated. If the operating parameters do not exist within the normal working range, it indicates that the operating status of the multi-purpose furnace is abnormal, and an abnormal working result is generated.

[0039] The normal operation monitoring module is used to monitor the subsequent operation of the multi-purpose furnace according to the normal operation results obtained, and to monitor and generate monitoring results based on the changes in the operating parameters, and transmit the monitoring results to the control information output module. The specific method of generating the monitoring results is:

[0040] With time t as a cycle, the changes in the operating parameters of the multi-purpose furnace are monitored, and the corresponding change values ​​are obtained, and the obtained change values ​​are plotted. Then, judgments are made based on the plotted graphs, and normal monitoring signals and early warning signals are generated. The specific judgments are combined with the attached Figure 2 For explanation, please refer to the attached Figure 2 From the first figure, we can know that when the corresponding graph is a flat graph, it means that the operating state of the multi-purpose furnace is normal within the time period t, and a normal monitoring signal is generated. At the same time, combined with the second figure, we can know that if the corresponding graph is a sudden change graph, it means that the operating state of the multi-purpose furnace is unstable within the time period t, and an early warning signal is generated. Further, the generated early warning signal indicates that the multi-purpose furnace needs to be warned.

[0041] A control information output module is used to display the acquired monitoring results to the corresponding operator.

[0042] Embodiment 2, as Embodiment 2 of the present invention, this embodiment is implemented on the basis of Embodiment 1, and the difference from Embodiment 1 is as follows:

[0043] The operation abnormality analysis module is used to analyze the abnormal working results obtained by separately analyzing the operation parameters and control parameters of the multi-purpose furnace. The specific method of analyzing the operation parameters is as follows:

[0044] Determine the correctness of the operating parameters and control parameters. If the operating parameters are abnormal, obtain the corresponding abnormal parameters, generate adjustment information based on the abnormal parameters, and transmit the adjustment information to the control information output module. If the control parameters are abnormal, generate a control parameter abnormal signal, and further analyze the control parameter abnormal signal. Specifically, for the generated abnormal working results, the abnormal operating parameters will also affect the internal control parameters, and further affect the overall work. Therefore, when analyzing the operating parameters, it is also necessary to analyze the control parameters.

[0045] Take the intelligent multi-purpose furnace on the industrial automation production line as an example. During the operation of the multi-purpose furnace, sensors are used to monitor various parameters in real time. At a certain moment, the system detects that the temperature in the furnace has increased abnormally, exceeding the normal working range. At this time, the system immediately obtains the temperature abnormality parameter and analyzes the control parameters of the heating element (such as current, voltage or heating time interval) according to the preset algorithm and empirical model. There may be a problem.

[0046] For the generated control parameter abnormal signal, the control parameter corresponding to the multi-purpose furnace is obtained, and the standard value corresponding to the control parameter is obtained at the same time, and the standard value here represents the corresponding temperature standard value and atmosphere parameter standard value, and the specific determination of the standard value is determined according to the actual production of the multi-purpose furnace, and then the temperature corresponding to the multi-purpose furnace is recorded as C, and the correlation between the temperature C of the multi-purpose furnace and the atmosphere parameter is determined, and the specific determination method is as follows:

[0047] The relationship between the reaction rate constant k and the temperature C is expressed based on the Arrhenius equation, and the specific relationship is: Where A is the pre-exponential factor, where the pre-exponential factor represents the frequency factor, which represents the total number of collisions of molecules per unit time and per unit volume, and the proportion of molecules with sufficient energy to overcome the activation energy of the reaction, regardless of temperature. Ea is the activation energy, R is the gas constant, which here represents the gas in the multi-purpose furnace, and C is the temperature;

[0048] At the same time, the corresponding reaction rate constant is calculated based on different temperatures, and the different temperatures here are unit change temperatures. For example, the starting temperature is 950°C. In the subsequent analysis, the unit temperature ±5°C is used as the change standard for calculation, that is, the reaction rate constant is calculated at temperatures of 945°C, 955°C, and 960°C, and the mean of all reaction rate constants is calculated. The calculated mean is used as the temperature influencing factor, and then the difference between the multi-purpose furnace temperature C and the standard value temperature C1 is calculated and recorded as Cp. At the same time, the atmosphere parameters are adjusted according to the temperature difference Cp, and the specific adjustment method is as follows:

[0049] The relationship between the atmosphere parameters and the reaction rate is obtained according to the formula, and the specific relationship formula is r = (k·P A 2 ·P B )·V, where P A and P B are the concentrations of gases A and B respectively, k is the reaction rate constant, and here k is the temperature influence factor calculated above, r is the reaction rate, V is the sum of the volumes of gas A and gas B, and the relationship between gas concentration and volume is obtained according to the relationship PV=nRC, where P is the gas concentration, V is the gas volume, n is the amount of gas substance, R is the ideal gas constant, and C is the temperature. Then the atmosphere adjustment parameters are calculated according to the relationship, and the specific relationship is P A V1=nRCp, the atmosphere adjustment parameter V1 is calculated by the above formula;

[0050] At the same time, the atmosphere parameter V1 is used as the standard for adjustment, and the atmosphere flow rate during the adjustment process is analyzed. The specific analysis method is: obtain historical data, calculate the mean of the atmosphere flow rate in the historical data, and use the calculated mean of the atmosphere flow rate as the standard to generate the adjustment standard; first, widely collect historical data related to the current working conditions. These data should cover atmosphere flow records under the same or similar process conditions and in different time periods. The average value of the atmosphere flow rate in the historical data is obtained through rigorous calculation methods. When determining the average value, obviously abnormal data points need to be eliminated to improve accuracy. Data processing methods such as the Grubbs criterion can be used to screen out abnormal values.

[0051] Then, the adjustment standard and the adjustment atmosphere parameter are combined to generate control information, and the control information is transmitted to the control information output module.

[0052] A control information output module is used to display the acquired control information to the corresponding operator.

[0053] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 and embodiment 2 for implementation.

[0054] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0055] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A multi-purpose furnace automation control system, characterized in that: include: The multi-purpose furnace state recognition module recognizes the state of the multi-purpose furnace according to the acquired operating parameters and historical data, and generates a state recognition result, and transmits the normal working result in the recognition result to the normal operation monitoring module, and transmits the abnormal working result in the recognition result to the abnormal operation analysis module; The normal operation monitoring module is used to monitor the subsequent operation of the multi-purpose furnace according to the normal operation results obtained, and to monitor and generate monitoring results based on the changes in the operating parameters, and transmit the monitoring results to the control information output module; The operation abnormality analysis module is used to analyze the abnormal working results obtained, generate control parameter abnormality signals and adjustment information by analyzing the operation parameters and control parameters of the multi-purpose furnace, and generate control information by analyzing the control parameters and combining the relationship between temperature and atmosphere parameters for the control parameter abnormality signals, and transmit the control information to the control information output module at the same time.

2. A multi-purpose furnace automation control system according to claim 1, characterized in that: It also includes a multi-purpose furnace parameter acquisition module and a control information output module; The multi-purpose furnace parameter acquisition module is used to collect the operating parameters and control parameters of the multi-purpose furnace, and transmit the collected operating parameters and control parameters to the multi-purpose furnace state identification module; The control information output module is used to display the acquired monitoring results and control information to the corresponding operators.

3. The multi-purpose furnace automation control system according to claim 1, characterized in that: The specific method of generating the state recognition result by the multi-purpose furnace state recognition module is as follows: Obtain historical operating parameters and integrate them into a normal operating range, compare the current operating parameters with the range, and if they are within the range, determine that the multi-purpose furnace is operating normally and generate a normal result; On the contrary, if it is not within the range, the operation is judged to be abnormal and an abnormal result is generated.

4. The multi-purpose furnace automation control system according to claim 1, characterized in that: The specific method in which the normal operation monitoring module monitors the normal operation result and generates the monitoring result is: With time t as a period, the changes in the operating parameters of the multi-purpose furnace are monitored, and the corresponding change values ​​are obtained. The obtained change values ​​are plotted, and then a judgment is made based on the plotted graph, and a normal monitoring signal and an early warning signal are generated.

5. A multi-purpose furnace automation control system according to claim 4, characterized in that: The specific method in which the normal operation monitoring module makes a judgment based on the graph is: If the corresponding graph is a flat graph, it means that the operating status of the multi-purpose furnace is normal within the time period t, and a normal monitoring signal is generated. If the corresponding graph is a sudden change graph, it means that the operating status of the multi-purpose furnace is unstable within the time period t, and a warning signal is generated.

6. The multi-purpose furnace automation control system according to claim 1, characterized in that: The specific method of analyzing the abnormal work result by the operation abnormality analysis module is as follows: Determine the correctness of the operating parameters and control parameters. If there is an abnormality in the operating parameters, obtain the corresponding abnormal parameters, and generate adjustment information based on the abnormal parameters. At the same time, transmit the adjustment information to the control information output module. If there is an abnormality in the control parameters, generate a control parameter abnormal signal, and further analyze the control parameter abnormal signal.

7. A multi-purpose furnace automation control system according to claim 6, characterized in that: The specific method in which the abnormal operation analysis module analyzes the abnormal control parameter signal is as follows: The control parameters corresponding to the multi-purpose furnace are obtained, and the standard values ​​corresponding to the control parameters are obtained at the same time. Then, the temperature corresponding to the multi-purpose furnace is recorded as C, and the correlation between the temperature C of the multi-purpose furnace and the atmosphere parameters is determined. The specific determination method is as follows: The relationship between the reaction rate constant k and the temperature C is expressed based on the Arrhenius equation, and the specific relationship is: Where A is the pre-factor, Ea is the activation energy, R is the gas constant, which here represents the gas in the multi-purpose furnace, and C is the temperature; At the same time, the corresponding reaction rate constants are calculated based on different temperatures, and the average of all reaction rate constants is calculated, and the calculated average is used as the temperature influence factor.

8. The multi-purpose furnace automation control system according to claim 7, characterized in that: The specific way in which the abnormal operation analysis module generates control information based on the relationship between temperature and atmosphere parameters is as follows: The difference between the multi-purpose furnace temperature C and the standard value temperature C1 is calculated and recorded as Cp. At the same time, the atmosphere parameters are adjusted according to the temperature difference Cp. The specific adjustment method is as follows: The relationship between the atmosphere parameters and the reaction rate is obtained according to the formula, and the specific relationship formula is r = (k·P A 2 ·P B )·V, where P A and P B are the concentrations of gases A and B respectively, k is the reaction rate constant, and here k is the temperature influence factor calculated above, r is the reaction rate, V is the sum of the volumes of gas A and gas B, and the relationship between gas concentration and volume is obtained according to the relationship PV=nRC, where P is the gas concentration, V is the gas volume, n is the amount of gas substance, R is the ideal gas constant, and C is the temperature. Then the atmosphere adjustment parameters are calculated according to the relationship, and the specific relationship is P A V1=nRCp, the atmosphere adjustment parameter V1 is calculated by the above formula; At the same time, the atmosphere parameter V1 is used as the standard for adjustment, and the atmosphere flow rate during the adjustment process is analyzed. The specific analysis method is: obtaining historical data, and calculating the average value of the atmosphere flow rate in the historical data, and at the same time using the calculated average value of the atmosphere flow rate as the standard to generate the adjustment standard; The adjustment standard and the adjustment atmosphere parameter are combined to generate control information, and the control information is transmitted to the control information output module.

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