CN114781669A - Numerical control management system of high-efficient modularization IGBT smelting power - Google Patents
Numerical control management system of high-efficient modularization IGBT smelting power Download PDFInfo
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Abstract
The invention discloses a numerical control management system of a high-efficiency modularized I GBT smelting power supply, which relates to the technical field of power supply numerical control management and solves the technical problems that in the prior art, the method carries out reasonable real-time operation control according to fault analysis, so that the power supply numerical control management efficiency is reduced; the analysis main body is controlled according to the pre-selected subdata, the fault prediction accuracy of the analysis main body and the maintenance efficiency after the fault are improved according to data control, the operation efficiency of the analysis main body is improved, and the influence of the fault on metal smelting is reduced.
Description
Technical Field
The invention relates to the technical field of power supply numerical control management, in particular to a numerical control management system of a high-efficiency modular IGBT smelting power supply.
Background
The IGBT power supply is mainly applied to induction surface quenching, diathermy and preheating before heat treatment of steel materials, diathermy of copper-aluminum alloy and smelting of precious metals. Among the most widely used, surface quenching of ferrous materials. Such as gear, automobile half-axle, machine tool guide rail surface quenching, bearing raceway quenching, etc., are most used in the automobile and engineering machinery and bearing industries. Compared with the controllable silicon, the IGBT transistor power supply has obvious energy-saving effect and wider frequency range, and particularly, the occurrence of the international second generation IGBT induction power supply realizes the frequency range of the IGBT power supply from 1KHz to 200KHz, and obtains absolute advantage in the field of surface quenching, particularly induction quenching of precision parts.
However, in the prior art, during the operation process of the IGBT power supply, reasonable real-time operation control cannot be performed according to fault analysis, so that the power supply numerical control management efficiency is reduced, the accuracy of power supply operation fault prediction is reduced, and the operation efficiency cannot be guaranteed; meanwhile, the control efficiency cannot be accurately analyzed, and the qualification of the current fault prediction cannot be guaranteed, so that the efficiency of metal smelting is affected.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a numerical control management system of a high-efficiency modular IGBT smelting power supply, which judges fault influence parameters of an analysis main body through historical fault analysis, accurately predicts the operation of the analysis main body according to the fault influence parameters acquired in real time, is favorable for improving the operation stability and the efficiency of the analysis main body, reduces the fault risk of the analysis main body, and can reduce the influence caused by the corresponding operation of the fault when the analysis main body breaks down; the analysis main body is controlled according to the pre-selected subdata, the fault prediction accuracy of the analysis main body and the maintenance efficiency after the fault are improved according to data control, the operation efficiency of the analysis main body is improved, and the influence of the fault on metal smelting is reduced.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a numerical control management system of power is smelted to high-efficient modularization IGBT, includes the server, and the server is connected with:
the real-time power supply operation analysis unit is used for analyzing the IGBT smelting power supply which is currently operated, marking the IGBT smelting power supply as an analysis main body, generating a risk operation signal and a safety operation signal through power supply analysis, and sending the risk operation signal and the safety operation signal to the server;
the historical fault analysis unit is used for analyzing the historical faults corresponding to the analysis main body and obtaining smelting influence faults and smelting non-influence faults through historical fault analysis; simultaneously obtaining pre-selected subdata and sending the pre-selected subdata to a server;
the power parameter control unit is used for controlling the pre-selected subdata corresponding to the analysis main body, acquiring a set data threshold according to the analysis control of the pre-selected subdata, and sending the set data threshold of the pre-selected subdata to the server;
and the control effect analysis unit is used for performing effect analysis on the control of the analysis main body according to the fault influence data of the analysis main body, generating a control effect qualified signal and a control effect unqualified signal through the effect analysis, and sending the control effect qualified signal and the control effect unqualified signal to the server.
As a preferred embodiment of the present invention, the operation process of the real-time power operation analysis unit is as follows:
taking the starting time of the analysis main body as an initial time point, acquiring a real-time operation time period according to the initial time point and the current time point, acquiring impact current borne by the analysis main body in the real-time operation time period and instantaneous voltage generated at the starting time of the analysis main body, and respectively marking the impact current and the instantaneous voltage as CJi and SVi; collecting the ratio of the inrush current peak value and the stable current peak value of the analysis main body in a real-time operation time period, and marking the ratio as BZi;
the operation analysis coefficient Xi of the analysis main body in the analysis time period is obtained through analysis, and is compared with an operation analysis coefficient threshold value:
if the operation analysis coefficient Xi of the analysis main body exceeds the operation analysis coefficient threshold value in the analysis time period, judging that the operation analysis of the corresponding analysis main body is abnormal, generating a risk operation signal and sending the risk operation signal to the server; and if the operation analysis coefficient Xi of the analysis main body does not exceed the operation analysis coefficient threshold value within the analysis time period, judging that the operation analysis of the corresponding analysis main body is normal, generating a safe operation signal and sending the safe operation signal to the server.
As a preferred embodiment of the present invention, the operation process of the historical fault analysis unit is as follows:
marking a time period before the initial time point of the analysis main body as a historical operation time period, collecting a time point of failure of the analysis main body in the historical operation period, and marking the failure of the analysis main body corresponding to the time point as a historical failure;
collecting a floating value of the metal smelting temperature at a corresponding time point of the historical fault and a local temperature reduction value of the metal at the corresponding time point, and comparing the floating value with a floating value threshold range and the local temperature reduction value with a reduction value threshold range respectively:
if the floating value of the metal smelting temperature at the corresponding moment point of the historical fault is not in the floating value threshold range, or the local temperature reduction value of the metal at the corresponding moment point is not in the reduction value threshold range, marking the corresponding historical fault as a smelting influence fault; if the floating value of the metal smelting temperature at the corresponding moment point of the historical fault is in the floating value threshold range, and the local temperature reduction value of the metal at the corresponding moment point is in the reduction value threshold range, marking the corresponding historical fault as a smelting non-influence fault;
marking the corresponding time points of the melting influence fault and the melting non-influence fault as fault time points, and analyzing the operation subdata of the corresponding analysis main body of the fault time points, wherein the operation subdata of the analysis main body comprises the operation duration, the adjustment frequency and the adjustment reaction duration of the analysis main body;
if the operation subdata corresponding to the analysis main body at the fault moment has numerical value floating, marking the corresponding operation subdata as preselected subdata; if the operation subdata of the corresponding analysis main body at the fault moment point does not have numerical value floating, marking the corresponding operation subdata as excluded subdata; comparing the occurrence time point of the preselected subdata with the fault time point, and if the occurrence time point of the preselected subdata is earlier than the fault time point, marking the corresponding preselected subdata as the data influencing the fault; if the moment of occurrence of the preselected sub-data is later than the fault moment, marking the corresponding preselected sub-data as fault influence data; and sending the obtained pre-selected sub-data to a server.
As a preferred embodiment of the present invention, the operation process of the power parameter management and control unit is as follows:
managing and controlling the pre-selected subdata of the analysis main body, marking the numerical value of the pre-selected subdata corresponding to the fault moment point as a subdata critical value when the pre-selected subdata is fault data influencing, and setting a preset data threshold value according to the subdata critical value, namely generating a fault early warning signal when the numerical value difference value of the real-time numerical value of the pre-selected subdata and the subdata critical value is the preset data threshold value;
in the operation process of the analysis main body, setting an operation monitoring period, if a fault prediction signal is not generated in the operation monitoring period, carrying out numerical reduction on a corresponding preset data threshold value, and if the fault prediction signal does not appear in the operation monitoring period after the numerical reduction, marking the prediction data threshold value after the numerical reduction as a set data threshold value; if a fault prediction signal appears in the operation monitoring period after the numerical value is reduced, the prediction data threshold value before the numerical value is reduced is marked as a set data threshold value;
if a fault prediction signal is generated in the operation monitoring period, increasing the value of a corresponding preset data threshold value, and if the fault prediction signal does not appear in the operation monitoring period after the value is increased, marking the predicted data threshold value after the value is increased as a set data threshold value; if the fault prediction signal still appears in the operation monitoring period after the numerical value is reduced, continuously increasing the preset data threshold value until the fault prediction signal does not appear in the operation monitoring period, and marking the increased preset data threshold value as a set data threshold value; and sending the acquired set data threshold value to a server.
As a preferred embodiment of the present invention, the operation process of the management and control effect analysis unit is as follows:
acquiring a control operation time period of an analysis main body by taking the acquired set data threshold as a time point, acquiring a numerical floating span value of fault influence data and a reduction quantity of corresponding fault influence data types in the control operation time period, and comparing the numerical floating span value with a floating span value threshold and a type reduction quantity threshold respectively:
if the numerical value floating span value of the fault influence data in the control operation time period does not exceed the floating span value threshold value and the reduction quantity of the corresponding fault influence data type exceeds the type reduction quantity threshold value, judging that the control effect analysis of the control operation time period analysis main body is qualified, generating a control effect qualified signal and sending the control effect qualified signal to a server;
if the numerical value floating span value of the fault influence data in the control operation time period exceeds the floating span value threshold value, or the reduction quantity of the corresponding fault influence data type does not exceed the type reduction quantity threshold value, judging that the control effect analysis of the control operation time period analysis main body is unqualified, generating a control effect unqualified signal and sending the control effect unqualified signal to the server.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the power supply which is currently operated is analyzed, the operation state of the current power supply is judged, the numerical control management intensity of the power supply is improved, meanwhile, the working efficiency of financial smelting can be improved through power supply monitoring, and the unqualified financial smelting efficiency caused by abnormal power supply is prevented; the fault influence parameters of the analysis main body are judged through historical fault analysis, and the operation of the analysis main body is accurately predicted according to the fault influence parameters acquired in real time, so that the operation stability and the efficiency of the analysis main body are improved, the fault risk of the analysis main body is reduced, and meanwhile, the influence caused by the corresponding operation of the fault can be reduced when the analysis main body breaks down; the pre-selected subdata corresponding to the analysis main body is managed and controlled, the fault prediction accuracy of the analysis main body and the maintenance efficiency after the fault are improved according to data management and control, the operation efficiency of the analysis main body is improved, and the influence of the fault on metal smelting is reduced; the effect analysis is carried out on the management and control of the analysis main body according to the fault influence data of the analysis main body, and the fluctuation of the fault influence data after the fault prediction is carried out by the analysis main body is judged, so that the management and control effect is analyzed, and the qualification and the management and control efficiency of the power numerical control management are improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of a numerical control management system of a high-efficiency modular IGBT smelting power supply according to the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the numerical control management system of the high-efficiency modular IGBT smelting power supply comprises a server, wherein the server is in communication connection with a real-time power supply operation analysis unit, a historical fault analysis unit, a power supply parameter control unit and a control effect analysis unit, and the server and the real-time power supply operation analysis unit, the historical fault analysis unit, the power supply parameter control unit and the control effect analysis unit are in bidirectional communication connection;
in the metal smelting process, reasonable numerical control management of an IGBT smelting power supply can effectively improve the efficiency of metal smelting, so that when the IGBT smelting power supply operates, a server generates a real-time power supply operation analysis signal and sends the real-time power supply operation analysis signal to a real-time power supply operation analysis unit, the real-time power supply operation analysis unit analyzes the currently operating power supply after receiving the real-time power supply operation analysis signal, judges the operation state of the current power supply, improves the numerical control management intensity of the power supply, and simultaneously can improve the working efficiency of financial smelting through power supply monitoring and prevent the financial smelting efficiency from being unqualified due to power supply abnormity;
marking the IGBT smelting power supply as an analysis main body, setting a mark i as a natural number more than 1, taking the starting time of the analysis main body as an initial time point, acquiring a real-time operation time period according to the initial time point and the current time point, acquiring impact current borne by the analysis main body and instantaneous voltage generated by the analysis main body at the starting time in the real-time operation time period, and respectively marking the impact current borne by the analysis main body and the instantaneous voltage generated by the analysis main body at the starting time in the real-time operation time period as CJi and SVi; collecting the ratio of the inrush peak value and the stable current peak value of the analysis main body in the real-time operation time period, and marking the ratio of the inrush peak value and the stable current peak value of the analysis main body in the real-time operation time period as BZi;
it can be understood that the system embodies the operation state of the analysis subject through current and voltage, wherein the stable current is represented as a current value with small numerical value fluctuation in the operation process of the analysis subject; meanwhile, when the current and voltage related data are collected, the corresponding instantaneous values of the analysis main body are selected, so that the accuracy of the operation analysis of the analysis main body is improved;
by the formula
Obtaining an operation analysis coefficient Xi of an analysis main body in an analysis time period, wherein a1, a2 and a3 are all preset proportional coefficients, and a1 is more than a2 is more than a3 is more than 0;
comparing the running analysis coefficient Xi of the analysis subject in the analysis time period with a running analysis coefficient threshold:
if the operation analysis coefficient Xi of the analysis main body exceeds the operation analysis coefficient threshold value in the analysis time period, judging that the operation analysis of the corresponding analysis main body is abnormal, generating a risk operation signal and sending the risk operation signal to a server; after receiving the risk operation signal, the server changes the type of the analysis main body, namely, the maximum bearing voltage or the maximum bearing current of the analysis main body is increased;
if the operation analysis coefficient Xi of the analysis main body does not exceed the operation analysis coefficient threshold value within the analysis time period, judging that the operation analysis of the corresponding analysis main body is normal, generating a safe operation signal and sending the safe operation signal to the server;
after receiving the safe operation signal, the server generates a historical fault analysis signal and sends the historical fault analysis signal to a historical fault analysis unit, after receiving the historical fault analysis signal, the historical fault analysis unit analyzes the historical fault corresponding to the analysis main body, judges fault influence parameters of the analysis main body through historical fault analysis, and accurately predicts the operation of the analysis main body according to the fault influence parameters acquired in real time, so that the operation stability and the efficiency of the analysis main body are improved, the fault risk of the analysis main body is reduced, and meanwhile, the influence caused by the corresponding operation of the fault can be reduced when the analysis main body breaks down;
marking a time period before the initial time point of the analysis main body as a historical operation time period, collecting a time point of failure of the analysis main body in the historical operation period, and marking the failure of the analysis main body corresponding to the time point as a historical failure;
acquiring a floating value of the metal smelting temperature at a time point corresponding to the historical fault and a local metal temperature reduction value at the corresponding time point, and comparing the floating value of the metal smelting temperature at the time point corresponding to the historical fault and the local metal temperature reduction value at the corresponding time point with a floating value threshold range and a reduction value threshold range respectively:
if the floating value of the metal smelting temperature at the corresponding moment point of the historical fault is not in the floating value threshold range, or the local temperature reduction value of the metal at the corresponding moment point is not in the reduction value threshold range, marking the corresponding historical fault as a smelting influence fault; if the floating value of the metal smelting temperature at the corresponding moment point of the historical fault is in the floating value threshold range, and the local temperature reduction value of the metal at the corresponding moment point is in the reduction value threshold range, marking the corresponding historical fault as a smelting non-influence fault;
marking the corresponding time points of the melting influence fault and the melting non-influence fault as fault time points, and analyzing the operation subdata of the corresponding analysis main body of the fault time points, wherein the operation subdata of the analysis main body comprises the operation duration, the adjustment frequency and the adjustment reaction duration of the analysis main body; in the application, the operation sub data is taken as an example, and if the operation data of the analysis main body is the operation sub data serving as the analysis main body; meanwhile, according to the smelting influence fault and the smelting non-influence fault, reasonable planning can be performed during fault maintenance;
if the operation subdata of the corresponding analysis main body at the fault moment point has numerical value floating, marking the corresponding operation subdata as pre-selected subdata; if the operation subdata of the corresponding analysis main body at the fault moment point does not have numerical value floating, marking the corresponding operation subdata as excluded subdata;
comparing the occurrence time point of the preselected subdata with the fault time point, and if the occurrence time point of the preselected subdata is earlier than the fault time point, marking the corresponding preselected subdata as the data influencing the fault; if the moment of occurrence of the preselected sub-data is later than the fault moment, marking the corresponding preselected sub-data as fault influence data;
sending the obtained pre-selected subdata to a server;
after receiving the preselected subdata, the server generates a power parameter control signal and sends the power parameter control signal to the power parameter control unit, and after receiving the power parameter control signal, the power parameter control unit controls the preselected subdata corresponding to the analysis main body, so that the fault prediction accuracy and the maintenance efficiency after the fault of the analysis main body are improved according to data control, the operation efficiency of the analysis main body is improved, and the influence of the fault on metal smelting is reduced;
managing and controlling the pre-selected subdata of the analysis main body, marking the numerical value of the pre-selected subdata corresponding to the fault moment point as a subdata critical value when the pre-selected subdata is fault data, and setting a preset data threshold value according to the subdata critical value, namely generating a fault early warning signal when the numerical value difference value of the real-time numerical value of the pre-selected subdata and the subdata critical value is the preset data threshold value;
setting an operation monitoring period in the operation process of the analysis main body, if a fault prediction signal is not generated in the operation monitoring period, carrying out numerical value reduction on a corresponding preset data threshold value, and if the fault prediction signal does not occur in the operation monitoring period after the numerical value is reduced, marking the prediction data threshold value after the numerical value reduction as a set data threshold value; if a fault prediction signal occurs in the operation monitoring period after the numerical value is reduced, marking the prediction data threshold value before the numerical value is reduced as a set data threshold value;
if a fault prediction signal is generated in the operation monitoring period, increasing the value of the corresponding preset data threshold value, and if the fault prediction signal does not occur in the operation monitoring period after the value is increased, marking the prediction data threshold value after the value is increased as a set data threshold value; if the fault prediction signal still appears in the operation monitoring period after the numerical value is reduced, continuously increasing the preset data threshold value until the fault prediction signal does not appear in the operation monitoring period, and marking the increased preset data threshold value as a set data threshold value; in the application, the increase or decrease of the numerical value is in the minimum regulation range, the data span of the increase or decrease is not large, and irreversible influence cannot be caused;
sending the acquired set data threshold to a server; after the server receives the set data threshold, the server monitors the pre-selected subdata of the analysis main body by taking the set data threshold as a standard so as to achieve the purpose of predicting the operation fault of the analysis main body;
the server generates a control effect analysis signal and sends the control effect analysis signal to the control effect analysis unit, the control effect analysis unit performs effect analysis on the control of the analysis main body according to the fault influence data of the analysis main body after receiving the control effect analysis signal, and the fluctuation of the fault influence data after the fault prediction of the analysis main body is judged, so that the control effect is analyzed, and the qualification and the control efficiency of the power numerical control management are improved;
acquiring a control operation time period of an analysis main body by taking an acquired set data threshold as a time point, acquiring a numerical floating span value of fault influence data and a reduction quantity of corresponding fault influence data types in the control operation time period, and comparing the numerical floating span value of the fault influence data and the reduction quantity of the corresponding fault influence data types in the control operation time period with a floating span value threshold and a type reduction quantity threshold respectively:
if the numerical value floating span value of the fault influence data in the control operation time period does not exceed the floating span value threshold value and the reduction quantity of the corresponding fault influence data type exceeds the type reduction quantity threshold value, judging that the control effect analysis of the control operation time period analysis main body is qualified, generating a control effect qualified signal and sending the control effect qualified signal to a server; if the numerical value floating span value of the fault influence data in the control operation time period exceeds the floating span value threshold value or the reduction quantity of the corresponding fault influence data type does not exceed the type reduction quantity threshold value, judging that the control effect analysis of the control operation time period analysis main body is unqualified, generating a control effect unqualified signal and sending the control effect unqualified signal to a server; and after receiving the signal with unqualified control effect, the server acquires the set data threshold value of the analysis main body again.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the real-time power supply analysis unit is used, the IGBT smelting power supply which is currently running is analyzed through the real-time power supply running analysis unit, the IGBT smelting power supply is marked as an analysis main body, a risk running signal and a safe running signal are generated through power supply analysis, and the risk running signal and the safe running signal are sent to the server together; analyzing the historical faults of the corresponding analysis main body through a historical fault analysis unit, and obtaining smelting influence faults and smelting non-influence faults through historical fault analysis; meanwhile, pre-selected subdata is obtained and sent to a server; managing and controlling the pre-selected subdata corresponding to the analysis main body through a power parameter management and control unit, acquiring a set data threshold according to the analysis and control of the pre-selected subdata, and sending the set data threshold of the pre-selected subdata to a server; and performing effect analysis on the management and control of the analysis main body through the management and control effect analysis unit according to the fault influence data of the analysis main body, generating a management and control effect qualified signal and a management and control effect unqualified signal through the effect analysis, and sending the signals to the server.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. The utility model provides a numerical control management system of power is smelted to high-efficient modularization IGBT, includes the server, its characterized in that, the server is connected with:
the real-time power supply operation analysis unit is used for analyzing the IGBT smelting power supply which is currently operated, marking the IGBT smelting power supply as an analysis main body, generating a risk operation signal and a safety operation signal through power supply analysis, and sending the risk operation signal and the safety operation signal to the server;
the historical fault analysis unit is used for analyzing the historical faults corresponding to the analysis main body and obtaining smelting influence faults and smelting non-influence faults through historical fault analysis; simultaneously obtaining pre-selected subdata and sending the pre-selected subdata to a server;
the power parameter control unit is used for controlling the pre-selected subdata corresponding to the analysis main body, obtaining a set data threshold according to the analysis control of the pre-selected subdata and sending the set data threshold of the pre-selected subdata to the server;
and the control effect analysis unit is used for performing effect analysis on the control of the analysis main body according to the fault influence data of the analysis main body, generating a control effect qualified signal and a control effect unqualified signal through the effect analysis, and sending the control effect qualified signal and the control effect unqualified signal to the server.
2. The numerical control management system for the efficient modular IGBT smelting power supply as recited in claim 1, characterized in that the operation process of the real-time power supply operation analysis unit is as follows:
taking the starting time of the analysis main body as a starting time point, acquiring a real-time operation time period according to the starting time point and a current time point, acquiring impact current borne by the analysis main body and instantaneous voltage generated at the starting time of the analysis main body in the real-time operation time period, and respectively marking the impact current and the instantaneous voltage as CJi and SVi; collecting the ratio of the inrush current peak value and the stable current peak value of the analysis main body in a real-time operation time period, and marking the ratio as BZi;
the operation analysis coefficient Xi of the analysis main body in the analysis time period is obtained through analysis, and is compared with an operation analysis coefficient threshold value:
if the operation analysis coefficient Xi of the analysis main body exceeds the operation analysis coefficient threshold value in the analysis time period, judging that the operation analysis of the corresponding analysis main body is abnormal, generating a risk operation signal and sending the risk operation signal to a server; and if the operation analysis coefficient Xi of the analysis main body does not exceed the operation analysis coefficient threshold value within the analysis time period, judging that the operation analysis of the corresponding analysis main body is normal, generating a safe operation signal and sending the safe operation signal to the server.
3. The numerical control management system for the efficient modular IGBT smelting power supply as recited in claim 1, characterized in that the operation process of the historical fault analysis unit is as follows:
marking a time period before the initial time point of the analysis main body as a historical operation time period, collecting time points of faults of the analysis main body in the historical operation period, and marking the faults of the analysis main body corresponding to the time points as historical faults;
collecting a floating value of the metal smelting temperature at a corresponding time point of the historical fault and a local temperature reduction value of the metal at the corresponding time point, and comparing the floating value with a floating value threshold range and the local temperature reduction value with a reduction value threshold range respectively:
if the floating value of the metal smelting temperature at the corresponding moment point of the historical fault is not in the range of the floating value threshold value, or the local temperature reduction value of the metal at the corresponding moment point is not in the range of the reduction value threshold value, marking the corresponding historical fault as a smelting influence fault; if the floating value of the metal smelting temperature at the corresponding moment point of the historical fault is in the floating value threshold range, and the local temperature reduction value of the metal at the corresponding moment point is in the reduction value threshold range, marking the corresponding historical fault as a smelting non-influence fault;
marking the corresponding time points of the melting influence fault and the melting non-influence fault as fault time points, and analyzing the operation subdata of the corresponding analysis main body of the fault time points, wherein the operation subdata of the analysis main body comprises the operation duration, the adjustment frequency and the adjustment reaction duration of the analysis main body;
if the operation subdata corresponding to the analysis main body at the fault moment has numerical value floating, marking the corresponding operation subdata as preselected subdata; if the operation subdata of the corresponding analysis main body at the fault moment point does not have numerical value floating, marking the corresponding operation subdata as excluded subdata; comparing the occurrence time point of the preselected subdata with the fault time point, and if the occurrence time point of the preselected subdata is earlier than the fault time point, marking the corresponding preselected subdata as the data influencing the fault; if the moment of occurrence of the preselected sub-data is later than the fault moment, marking the corresponding preselected sub-data as fault influence data; and sending the obtained pre-selected sub-data to a server.
4. The numerical control management system for the efficient modular IGBT smelting power supply according to claim 1, characterized in that the operation process of the power supply parameter control unit is as follows:
managing and controlling the pre-selected subdata of the analysis main body, marking the numerical value of the pre-selected subdata corresponding to the fault moment point as a subdata critical value when the pre-selected subdata is fault data, and setting a preset data threshold value according to the subdata critical value, namely generating a fault early warning signal when the numerical value difference value of the real-time numerical value of the pre-selected subdata and the subdata critical value is the preset data threshold value;
in the operation process of the analysis main body, setting an operation monitoring period, if a fault prediction signal is not generated in the operation monitoring period, carrying out numerical reduction on a corresponding preset data threshold value, and if the fault prediction signal does not appear in the operation monitoring period after the numerical reduction, marking the prediction data threshold value after the numerical reduction as a set data threshold value; if a fault prediction signal appears in the operation monitoring period after the numerical value is reduced, the prediction data threshold value before the numerical value is reduced is marked as a set data threshold value;
if a fault prediction signal is generated in the operation monitoring period, increasing the value of a corresponding preset data threshold value, and if the fault prediction signal does not appear in the operation monitoring period after the value is increased, marking the predicted data threshold value after the value is increased as a set data threshold value; if the fault prediction signal still appears in the operation monitoring period after the numerical value is reduced, continuously increasing the preset data threshold value until the fault prediction signal does not appear in the operation monitoring period, and marking the increased preset data threshold value as a set data threshold value; and sending the acquired set data threshold value to a server.
5. The numerical control management system for the efficient modular IGBT smelting power supply according to claim 1, characterized in that the operation process of the control effect analysis unit is as follows:
acquiring a control operation time period of an analysis main body by taking the acquired set data threshold as a time point, acquiring a numerical floating span value of fault influence data and a reduction quantity of corresponding fault influence data types in the control operation time period, and comparing the numerical floating span value with a floating span value threshold and a type reduction quantity threshold respectively:
if the numerical value floating span value of the fault influence data in the control operation time period does not exceed the floating span value threshold value and the reduction quantity of the corresponding fault influence data type exceeds the type reduction quantity threshold value, judging that the control effect analysis of the control operation time period analysis main body is qualified, generating a control effect qualified signal and sending the control effect qualified signal to a server;
if the numerical value floating span value of the fault influence data in the control operation time period exceeds the floating span value threshold value or the reduction quantity of the corresponding fault influence data type does not exceed the type reduction quantity threshold value, judging that the control effect analysis of the control operation time period analysis main body is unqualified, generating a control effect unqualified signal and sending the control effect unqualified signal to a server.
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