CN115828200A - Visual curve interface system for dynamically balancing gain parameters - Google Patents
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Abstract
The invention discloses a visual curve interface system for dynamically equalizing gain parameters, which comprises: the electric output end of the parameter input module is connected with the edge calculation module, the electric output end of the parameter input module is connected with the parameter correction module, and the electric output end of the parameter correction module is respectively connected with the cloud data storage module, the parameter abnormal parameter threshold value warning unit and the parameter calibration intelligent screen module; the system carries out real-time monitoring on the parameter process through the parameter calibration intelligent screen module, temporarily stores the user identity through the system comprehensive management module, can carry out secondary identity accuracy authentication on the user identity through the system personal login module, can transfer the user identity to a user identity account after the user identity authentication is qualified through the data real-time tracking module, and can generate a parameter curve through the curve dynamic updating module to serve as a parameter certificate.
Description
Technical Field
The invention relates to the field of parameter visualization, in particular to a visual curve interface system for dynamically balancing gain parameters.
Background
The dynamic equalization gain technology is an internet database technology and is characterized by decentralization, openness and transparency, so that everyone can participate in database recording. The dynamic equalization gain technology is researched all over the world at present, can be widely applied to various fields such as finance, and has built-in robustness like the Internet. By storing the same information block in its network, the dynamic equalization gain cannot be controlled by any single entity and there is no single point of failure, and the dynamic equalization gain technology has been widely used as a trading platform at present.
The existing transaction flow system based on the dynamic equilibrium gain technology lacks a perfect monitoring system, so that the situation of risk transaction and even malicious transaction can occur in the transaction process, the transaction flow is disturbed, and the safety of a transaction platform is seriously influenced.
Disclosure of Invention
In order to overcome the defects and shortcomings of the prior art, the invention provides a visual curve interface system for dynamically balancing gain parameters.
The system comprises:
the electric output end of the parameter input module is connected with the edge calculation module, the electric output end of the parameter input module is connected with the parameter correction module, and the electric output end of the parameter correction module is respectively connected with the cloud data storage module, the parameter abnormal parameter threshold value warning unit and the parameter calibration intelligent screen module;
the parameter output module is connected with the electrical output end of the parameter abnormal parameter threshold value warning unit, and the electrical output end of the parameter output module is respectively connected with the data updating and storing module and the dynamic standard module;
the intelligent screen module comprises a parameter setting reminding module, a system comprehensive management module and a system personal login module, wherein the parameter setting reminding module is connected to an electrical output end of the parameter calibration intelligent screen module, the electrical output end of the parameter setting reminding module is connected with the system comprehensive management module, the electrical output end of the system comprehensive management module is connected with the system personal login module, the electrical output end of the system personal login module is connected with the data real-time tracking module, and the electrical output end of the data real-time tracking module is connected with a curve dynamic updating module.
Further, the parameter input module, the edge calculation module and the parameter correction module are connected in series, and the parameter correction module is electrically connected with the edge calculation module.
Furthermore, the parameter correction module is electrically connected with the cloud data storage module, and the parameter correction module, the parameter abnormal parameter threshold value warning unit and the parameter output module are connected in series.
Further, the parameter output module and the data updating and storing module are connected in series, and the data updating and storing module is electrically connected with the cloud data storage module.
Furthermore, the parameter correction module, the parameter calibration intelligent screen module, the parameter setting reminding module and the system comprehensive management module are connected in series.
Furthermore, the system comprehensive management module, the system personal login module, the data real-time tracking module and the curve dynamic updating module are connected in series, and the system personal login module, the parameter output module and the dynamic standard module are connected in series.
Further, the parameter revision module is further provided with:
and the data drift description unit is connected to the electrical output end of the parameter correction module, and the electrical output end of the data drift description unit is connected with the parameter feature extraction unit.
Further, the parameter correction module, the data drift description unit and the parameter feature extraction unit are connected in series.
Further, the cloud data storage module is further provided with:
the data transmission speed setting unit is connected to the electrical output end of the cloud data storage module, the parameter correction module, the cloud data storage module and the data transmission speed setting unit are connected in series, and the parameter characteristic extraction unit is electrically connected with the data transmission speed setting unit.
Further, the parameter output module is further provided with:
and the parameter threshold warning unit is connected to the electrical output end of the parameter output module, and the parameter output module is electrically connected with the parameter threshold warning unit.
A visual curve interface system for dynamically equalizing gain parameters comprises the following steps:
step S1: the cloud data storage module is used for storing information data of the dynamic data, auditing and comparing the information data, and the parameter input module is used for detecting platform parameters;
step S2: when the input of the platform parameters is detected, the parameter qualification of the parameters of both sides of the parameters is checked through the edge computing module control parameter correcting module, if no parameter information exists in the cloud-end data storage module, the parameters are new parameters, the new parameters are registered through the data drift description unit, and the information of the new parameters is extracted and checked through the parameter feature extraction unit after the registration;
and step S3: if the parameter is the existing parameter, directly extracting parameter information from the cloud data storage module, judging the accuracy degree of the parameter through the data transmission speed setting unit respectively through the extracted new parameter information and the characteristic information of the existing parameter in the cloud data storage module, and judging the set level of the parameter, wherein at the moment, if the accuracy of the parameter is checked to be unqualified, and the parameter does not have the qualification, prompting is carried out through the parameter abnormal parameter threshold warning unit, so that the parameter is convenient to compare the characteristic information, whether the characteristic information is consistent or not is confirmed, and when the parameter does not have the qualification after the confirmation, the parameter is terminated through the parameter output module;
and step S4: parameter information without parameter qualification is transmitted into a cloud data storage module through a data updating and storing module for storage, so that the parameter can be directly compared when appearing in the future, a normal parameter flow is carried out when the accuracy of the parameter is qualified after being checked, the parameter calibration intelligent screen module monitors the parameter process in real time, and the parameter setting reminding module prompts parameter setting;
step S5: the user identity is temporarily stored through the system comprehensive management module, and the system personal login module performs secondary identity accuracy authentication on the user identity;
step S6: after the user identity authentication is qualified, the platform transfers the user identity to a user identity account, a parameter curve can be generated through a curve dynamic updating module and used as a parameter certificate, if the accuracy of the user identity authentication is unqualified in secondary identity authentication, the user identity is returned to a login interface through a dynamic standard module at the moment, the parameters are terminated, and meanwhile, when a data transmission speed setting unit judges that the setting level of the parameters is very poor and the conditions of false parameters or malicious parameters and the like occur, the alarm is directly given through a parameter threshold value warning unit.
Compared with the prior art, the invention provides a visual curve interface system and a visual curve interface method for dynamically equalizing gain parameters, which have the following beneficial effects: according to the visual curve interface system and method for dynamically balancing gain parameters, a parameter process can be monitored in real time through a parameter calibration intelligent screen module, the user identity is temporarily stored through a system comprehensive management module, a system personal login module can perform secondary identity accuracy authentication on the user identity, a data real-time tracking module can transfer the user identity to a user identity account after the user identity authentication is qualified, and a parameter curve can be generated through a curve dynamic updating module to serve as a parameter certificate.
1. The input of platform parameters can be detected through the parameter input module, the parameter qualification of the parameters of both sides of the parameters can be checked through the edge calculation module when the parameters are input, the cloud data storage module can store information data of dynamic data, so that direct checking and comparison can be facilitated, the parameter abnormal parameter threshold value warning unit can prompt when the parameters at the checking position do not have parameter qualification, the parameters can be compared conveniently, whether the characteristic information is consistent or not is confirmed, when the parameters do not have parameter qualification after confirmation, the parameters can be terminated through the parameter output module, the parameter information without parameter qualification can be transmitted into the cloud data storage module through the data updating and storing module for storage, and direct comparison can be facilitated when the parameters appear in the future;
2. the system can monitor the parameter process in real time through the parameter calibration intelligent screen module, the parameter setting reminding module can prompt parameter setting after parameter qualification is achieved at an auditing position, the user identity is temporarily stored through the system comprehensive management module, the system personal login module can carry out secondary identity accuracy authentication on the user identity, the data real-time tracking module can transfer the user identity to a user identity account after the user identity authentication is qualified, and a parameter curve can be generated through the curve dynamic updating module to be used as a parameter certificate;
3. according to the invention, the registration of new parameters is facilitated through the data drift description unit, the parameter characteristic extraction unit can extract and audit the information of the new parameters after the new parameters are registered, the accuracy of the parameters can be judged through the extracted new parameter information and the characteristic information of the existing parameters in the cloud data storage module respectively through the data transmission speed setting unit, so that the set level of the parameters is judged, if the accuracy is qualified, the parameters are normal, if the accuracy is not qualified, the parameters are terminated, if the set level is very poor, and the situations of false parameters or malicious parameters and the like occur, the alarm can be directly given through the parameter threshold warning unit, so that the occurrence of risk parameters is avoided, and the problems that the existing parameter flow system based on the dynamic equilibrium gain technology is lack of a perfect monitoring system, so that the situations of risk parameters and even malicious parameters occur in the parameter process, the parameter flow is disturbed, and the safety of the parameter platform is seriously influenced are solved.
Drawings
FIG. 1 is a schematic diagram of a first configuration of the system of the present invention;
FIG. 2 is a schematic diagram of a second embodiment of the system of the present invention;
FIG. 3 is a schematic diagram of a third embodiment of the system of the present invention;
FIG. 4 is a schematic diagram of a fourth embodiment of the system of the present invention;
FIG. 5 is a schematic diagram of a fifth configuration of the system of the present invention;
FIG. 6 is a flow chart of the system of the present invention.
In the figure: 1. a parameter input module; 2. an edge calculation module; 3. a parameter revision module; 4. a cloud data storage module; 5. a parameter abnormal parameter threshold warning unit; 6. a parameter output module; 7. a data updating and storing module; 8. calibrating parameters of the smart screen module; 9. a parameter setting reminding module; 10. a system comprehensive management module; 11. a system personal login module; 12. a data real-time tracking module; 13. a curve dynamic updating module; 14. a dynamic standard module; 15. a data drift description unit; 16. a parameter feature extraction unit; 17. a data transmission speed setting unit; 18. and a parameter threshold warning unit.
Detailed Description
It should be noted that the embodiments and features of the embodiments can be combined with each other without conflict, and the present application will be further described in detail with reference to the drawings and specific embodiments.
As shown in fig. 1 to 5, a visual curve interface system for dynamic equalization gain parameters,
the system comprises: the system comprises a parameter input module 1, an edge calculation module 2 and a parameter revision module 3, wherein the electrical output end of the parameter input module 1 is connected with the edge calculation module 2, the electrical output end of the parameter input module 1 is connected with the parameter revision module 3, the parameter input module 1, the edge calculation module 2 and the parameter revision module 3 are connected in series, and the parameter revision module 3 is electrically connected with the edge calculation module 2;
the input of platform parameters can be detected through the parameter input module 1, and the parameter qualification of the parameters of both sides of the parameters can be checked through the parameter correction module 3 under the control of the edge calculation module 2 when the parameters are input;
the electrical output end of the parameter calibration module 3 is respectively connected with a cloud data storage module 4, a parameter abnormal parameter threshold value warning unit 5 and a parameter calibration intelligent screen module 8; the parameter output module 6 is connected to the electrical output end of the parameter abnormal parameter threshold value warning unit 5, and the electrical output end of the parameter output module 6 is respectively connected with the data updating and storing module 7 and the dynamic standard module 14;
the parameter correction module 3 is electrically connected with the cloud data storage module 4, and the parameter correction module 3, the parameter abnormal parameter threshold value warning unit 5 and the parameter output module 6 are connected in series; the cloud data storage module 4 can store information data of dynamic data, so that direct auditing and comparison can be facilitated, the parameter abnormal parameter threshold value warning unit 5 can prompt when parameters at an auditing place do not have parameter qualification, comparison of characteristic information of the parameters is facilitated, whether the characteristic information is consistent or not is confirmed, and when the parameter qualification is not met after the confirmation, the parameter can be terminated through the parameter output module 6; the parameter output module 6 and the data updating and storing module 7 are connected in series, and the data updating and storing module 7 is electrically connected with the cloud data storage module 4;
parameter information without parameter qualification can be transmitted to the cloud data storage module 4 through the data updating and storing module 7 for storage, so that the parameter can be directly compared in the future when the parameter appears; the parameter setting reminding module 9 is connected to the electrical output end of the parameter calibration intelligent screen module 8, the electrical output end of the parameter setting reminding module 9 is connected with the system comprehensive management module 10, the electrical output end of the system comprehensive management module 10 is connected with the system personal login module 11, and the parameter correcting module 3, the parameter calibration intelligent screen module 8, the parameter setting reminding module 9 and the system comprehensive management module 10 are connected in series;
the parameter calibration intelligent screen module 8 can monitor the parameter process in real time, the parameter setting reminding module 9 can prompt parameter setting after parameter qualification in an auditing place, and the system comprehensive management module 10 can temporarily store the user identity; the electrical output end of the system personal login module 11 is connected with a data real-time tracking module 12, and the electrical output end of the data real-time tracking module 12 is connected with a curve dynamic updating module 13;
the system comprehensive management module 10, the system personal login module 11, the data real-time tracking module 12 and the curve dynamic updating module 13 are connected in series, and the system personal login module 11, the parameter output module 6 and the dynamic standard module 14 are connected in series; the system personal login module 11 can perform secondary identity accuracy authentication on the user identity, the data real-time tracking module 12 can transfer the user identity to a user identity account after the user identity authentication is qualified, and the curve dynamic updating module 13 can generate a parameter curve as a parameter certificate.
A visual curve interface system for dynamically equalizing gain parameters, comprising: the data drift description unit 15 is connected to the electrical output end of the parameter correcting module 3, and the electrical output end of the data drift description unit 15 is connected to the parameter feature extraction unit 16;
the parameter correcting module 3, the data drift description unit 15 and the parameter feature extraction unit 16 are connected in series. The data drift description unit 15 is used for facilitating the registration of new parameters, and the parameter feature extraction unit 16 can extract and check the information of the new parameters after the new parameters are registered;
the data transmission speed setting unit 17 is connected to the electrical output end of the cloud data storage module 4, the parameter correction module 3, the cloud data storage module 4 and the data transmission speed setting unit 17 are connected in series, and the parameter feature extraction unit 16 and the data transmission speed setting unit 17 are electrically connected;
the data transmission speed setting unit 17 can judge the accuracy of the parameters respectively through the extracted new parameter information and the feature information of the existing parameters in the cloud data storage module 4, so as to judge the set level of the parameters, if the accuracy is qualified, the parameters are normal, if the accuracy is not qualified, the parameters are terminated, if the set level is very poor, and the situations such as false parameters or malicious parameters occur;
a parameter threshold warning unit 18 connected to the electrical output end of the parameter output module 6, wherein the parameter output module 6 is electrically connected to the parameter threshold warning unit 18;
the alarm can be directly carried out through the parameter threshold value warning unit 18, so that the risk parameter is avoided, and the problem that the safety of a parameter platform is seriously influenced because the risk parameter and even the malicious parameter are disturbed due to the fact that the conventional parameter flow system based on the dynamic equilibrium gain technology lacks a perfect monitoring system is solved.
As shown in fig. 6, a visual curve interface system for dynamically equalizing gain parameters includes the following steps:
step S1: the cloud data storage module 4 is used for storing information data of the dynamic data, auditing and comparing the information data, and the parameter input module 1 is used for detecting platform parameters;
step S2: when the input of the platform parameters is detected, the edge computing module 2 controls the parameter revision module 3 to examine the parameter qualification of the parameters of both sides of the parameters, at this time, if no parameter information exists in the cloud-end data storage module 4, the parameters are new parameters, at this time, the data drift description unit 15 is used for registering the new parameters, and after the registration, the parameter feature extraction unit 16 is used for extracting and examining the information of the new parameters;
and step S3: if the parameter is the existing parameter, the parameter information is directly extracted from the cloud data storage module 4, then the accuracy of the parameter is judged through the data transmission speed setting unit 17 respectively through the extracted new parameter information and the characteristic information of the existing parameter in the cloud data storage module 4, the set level of the parameter is judged, and at the moment, if the accuracy of the parameter is checked to be unqualified, and the parameter does not have the qualification, the parameter is prompted through the parameter abnormal parameter threshold warning unit 5, so that the characteristic information is compared, whether the characteristic information is consistent or not is confirmed, and when the parameter does not have the qualification after the confirmation, the parameter is terminated through the parameter output module 6;
and step S4: parameter information without parameter qualification is transmitted to the cloud data storage module 4 through the data updating and storing module 7 for storage, so that the parameter can be directly compared in the future when appearing, a normal parameter flow is performed when the accuracy of the parameter is qualified after being checked, the parameter calibration intelligent screen module 8 monitors the parameter process in real time, and the parameter setting reminding module 9 prompts parameter setting;
step S5: the user identity is temporarily stored through the system comprehensive management module 10, and at the moment, the system personal login module 11 performs secondary identity accuracy authentication on the user identity;
step S6: after the user identity authentication is qualified, the platform transfers the user identity to a user identity account, a parameter curve can be generated through the curve dynamic updating module 13 and used as a parameter certificate, if the accuracy of the user identity is unqualified in secondary identity authentication, the user identity is returned to a login interface through the dynamic standard module 14 at the moment, the parameters are terminated, and meanwhile, when the data transmission speed setting unit 17 judges that the parameter setting level is very poor and the conditions of false parameters or malicious parameters and the like occur, the alarm is directly given through the parameter threshold value warning unit 18.
The working principle is as follows: when the visual curve interface system of the dynamic equalization gain parameter is used, firstly, the existing parameters of the parameters on the dynamic equalization gain platform are stored through the cloud data storage module 4, so that direct verification and comparison are facilitated, the platform parameters are detected through the parameter input module 1, when the input of the platform parameters is detected, the parameter qualification verification of the parameters of both sides of the parameters is performed through the edge calculation module 2 controlling the parameter revision module 3, at the moment, if no parameter information exists in the cloud data storage module 4, the parameters are new parameters, at the moment, the new parameters are registered through the data drift description unit 15, and after the registration, the information of the new parameters is extracted and verified through the parameter feature extraction unit 16;
secondly, if the parameter is an existing parameter, parameter information is directly extracted from the cloud data storage module 4, then the accuracy of the parameter is judged through the data transmission speed setting unit 17 respectively through the extracted new parameter information and the characteristic information of the existing parameter in the cloud data storage module 4, the set level of the parameter is judged, and at the moment, if the accuracy of the parameter is checked to be unqualified, and the parameter does not have the qualification, the parameter is prompted through the parameter abnormal parameter threshold warning unit 5, so that the characteristic information is compared, whether the characteristic information is consistent or not is confirmed, and when the parameter does not have the qualification after the confirmation, the parameter is terminated through the parameter output module 6;
then, parameter information without parameter qualification is transmitted into the cloud data storage module 4 through the data updating and storing module 7 for storage, so that the parameter can be directly compared when appearing in the future, a normal parameter flow is performed when the accuracy of the parameter is qualified through verification, the parameter calibration intelligent screen module 8 monitors the parameter process in real time, the parameter setting reminding module 9 prompts parameter setting, the system comprehensive management module 10 temporarily stores the user identity, and the system personal login module 11 performs secondary identity accuracy authentication on the user identity;
finally, after the user identity is authenticated to be qualified, the platform transfers the user identity to a user identity account, a parameter curve can be generated through the curve dynamic updating module 13 and used as a parameter certificate, if the accuracy of the user identity is unqualified in secondary identity authentication, the user identity is returned to a login interface through the dynamic standard module 14 at the moment, the parameter is terminated, and meanwhile, when the data transmission speed setting unit 17 judges that the parameter setting level is very poor and the situations of false parameters or malicious parameters and the like occur, the alarm is directly given through the parameter threshold value warning unit 18, so that the occurrence of risk parameters, parameter flow disturbance and influence on the safety of the dynamic equilibrium gain parameter platform are avoided, and the working principle of the visual curve interface system and the working principle of the dynamic equilibrium gain parameter are realized.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "fixed" are to be construed broadly, e.g., as meaning either fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art through specific situations.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various equivalent changes, modifications, substitutions and alterations can be made herein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A visual curve interface system for dynamically equalizing gain parameters, the system comprising:
the electric output end of the parameter input module is connected with the edge calculation module, the electric output end of the parameter input module is connected with the parameter correction module, and the electric output end of the parameter correction module is respectively connected with the cloud data storage module, the parameter abnormal parameter threshold value warning unit and the parameter calibration intelligent screen module;
the parameter output module is connected with the electrical output end of the parameter abnormal parameter threshold value warning unit, and the electrical output end of the parameter output module is respectively connected with the data updating and storing module and the dynamic standard module;
the parameter setting reminding module is connected to the electrical output end of the parameter calibration intelligent screen module, the electrical output end of the parameter setting reminding module is connected with the system comprehensive management module, and the electrical output end of the system comprehensive management module is connected with the system individual login module;
the electrical output end of the system personal login module is connected with a data real-time tracking module, and the electrical output end of the data real-time tracking module is connected with a curve dynamic updating module.
2. The system according to claim 1, wherein the parameter input module, the edge calculation module and the parameter correction module are connected in series, and the parameter correction module is electrically connected to the edge calculation module.
3. The visual curve interface system of dynamic equalization gain parameters of claim 1, wherein the parameter revision module is electrically connected to the cloud data storage module, and the parameter revision module, the parameter abnormal parameter threshold warning unit and the parameter output module are connected in series.
4. The system according to claim 1, wherein the parameter output module is connected in series with the data update storage module, and the data update storage module is electrically connected to the cloud data storage module.
5. The system according to claim 1, wherein the parameter calibration module, the parameter calibration smart screen module, the parameter setting reminding module and the system integrated management module are connected in series.
6. The visual curve interface system for dynamically equalizing gain parameters according to claim 1, wherein the system integrated management module, the system personal login module, the real-time data tracking module and the curve dynamic update module are connected in series, and the system personal login module, the parameter output module and the dynamic standard module are connected in series.
7. The visual curve interface system for dynamically equalizing gain parameters according to claim 1, wherein said parameter tuning module further comprises: the data drift description unit is connected with the electrical output end of the parameter correction module;
the electrical output end of the data drift description unit is connected with a parameter characteristic extraction unit, and the parameter correction module, the data drift description unit and the parameter characteristic extraction unit are connected in series.
8. The visual curve interface system for dynamically equalizing gain parameters according to claim 7, wherein said cloud data storage module further comprises: the data transmission speed setting unit is connected to the electrical output end of the cloud data storage module;
the parameter correction module, the cloud data storage module and the data transmission speed setting unit are connected in series, and the parameter characteristic extraction unit is electrically connected with the data transmission speed setting unit.
9. The visual curve interface system for dynamically equalizing gain parameters according to claim 1, wherein the parameter output module is further provided with: and the parameter threshold warning unit is connected to the electrical output end of the parameter output module, and the parameter output module is electrically connected with the parameter threshold warning unit.
10. A visual curvilinear interface system for dynamically equalizing gain parameters according to any one of claims 1-9, wherein the system is operable by steps comprising:
step S1: the cloud data storage module is used for storing information data of the dynamic data, auditing and comparing the information data, and the parameter input module is used for detecting platform parameters;
step S2: when the input of the platform parameters is detected, the parameter qualification of the parameters of both sides of the parameters is checked through the edge computing module control parameter correcting module, if no parameter information exists in the cloud-end data storage module, the parameters are new parameters, the new parameters are registered through the data drift description unit, and the information of the new parameters is extracted and checked through the parameter feature extraction unit after the registration;
and step S3: if the parameter is the existing parameter, directly extracting parameter information from the cloud data storage module, judging the accuracy degree of the parameter through the data transmission speed setting unit respectively through the extracted new parameter information and the characteristic information of the existing parameter in the cloud data storage module, and judging the set level of the parameter, wherein at the moment, if the accuracy of the parameter is checked to be unqualified, and the parameter does not have the qualification, prompting is carried out through the parameter abnormal parameter threshold warning unit, so that the parameter is convenient to compare the characteristic information, whether the characteristic information is consistent or not is confirmed, and when the parameter does not have the qualification after the confirmation, the parameter is terminated through the parameter output module;
and step S4: parameter information without parameter qualification is transmitted into a cloud data storage module through a data updating and storing module for storage, so that the parameter can be directly compared when appearing in the future, a normal parameter flow is carried out when the accuracy of the parameter is qualified after being checked, the parameter calibration intelligent screen module monitors the parameter process in real time, and the parameter setting reminding module prompts parameter setting;
step S5: the user identity is temporarily stored through the system comprehensive management module, and the system personal login module performs secondary identity accuracy authentication on the user identity at the moment;
step S6: after the user identity authentication is qualified, the platform transfers the user identity to a user identity account, a parameter curve can be generated through a curve dynamic updating module and used as a parameter certificate, if the accuracy of the user identity authentication is unqualified in secondary identity authentication, the user identity is returned to a login interface through a dynamic standard module at the moment, the parameters are terminated, and meanwhile, when a data transmission speed setting unit judges that the setting level of the parameters is very poor and the conditions of false parameters or malicious parameters and the like occur, the alarm is directly given through a parameter threshold value warning unit.
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