CN115828200B - Visual curve interface system for dynamic balance gain parameters - Google Patents
Visual curve interface system for dynamic balance gain parameters Download PDFInfo
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Abstract
The application discloses a visual curve interface system of dynamic equilibrium gain parameters, which comprises: the device comprises a parameter input module, an edge calculation module and a parameter correction module, wherein the output end of the parameter input module is connected with the edge calculation module and the parameter correction module, and the electrical output end of the parameter correction module is respectively connected with a cloud data storage module, a parameter abnormal parameter threshold warning unit and a parameter calibration intelligent screen 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 the curve dynamic updating module can generate a parameter curve to serve as a parameter credential.
Description
Technical Field
The application relates to the field of parameter visualization, in particular to a dynamic balance gain parameter visualization curve interface system.
Background
The dynamic balance gain technology is an internet database technology and is characterized by decentralization, disclosure and transparency, so that everyone can participate in database recording. At present, the research is carried out all over the world, the dynamic equilibrium gain technology can be widely applied to various fields such as finance, and the dynamic equilibrium gain technology is like the Internet, and has built-in robustness. By storing the same information blocks 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 technique is currently widely used as a trading platform.
The existing transaction flow system based on the dynamic balance gain technology lacks a perfect monitoring system, so that risk transaction and even malicious transaction can occur in the transaction process, the transaction flow is disturbed, the safety of a transaction platform is seriously influenced, and therefore, the visual curve interface system of the dynamic balance gain parameter is provided.
Disclosure of Invention
In order to overcome the defects and shortcomings in the prior art, the application provides a visual curve interface system for dynamically balancing gain parameters.
The system comprises:
the device comprises a parameter input module, an edge calculation module and a parameter correction module, wherein the output end of the parameter input module is connected with the edge calculation module and the parameter correction module, and the electrical output end of the parameter correction module is respectively connected with a cloud data storage module, a parameter abnormal parameter threshold warning unit and a parameter calibration intelligent screen module;
the parameter output module is connected with the electrical output end of the parameter abnormal parameter threshold warning unit, and the electrical output end of the parameter output module is respectively connected with the data updating and saving module and the dynamic standard module;
the parameter setting reminding module is connected with 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 integrated management module, the electrical output end of the system integrated 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 the 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.
Further, the parameter correction module is electrically connected with the cloud data storage module, and the parameter correction module, the parameter abnormal parameter threshold warning unit and the parameter output module are connected in series.
Further, the parameter output module and the data updating and saving module are connected in series, and the data updating and saving module is electrically connected with the cloud data storage module.
Further, the parameter correction module, the parameter calibration intelligent screen module, the parameter setting reminding module and the system integrated management module are connected in series.
Further, 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 correction module is further provided with:
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 characteristic 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 with 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 and the data transmission speed setting unit are electrically connected.
Further, the parameter output module is further provided with:
the parameter threshold warning unit is connected with 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 curvilinear interface system for dynamically equalizing gain parameters, comprising the steps of:
step S1: storing information data of the dynamic data through a cloud data storage module, checking and comparing, and detecting platform parameters through a parameter input module;
step S2: when the input of the platform parameters is detected, controlling the parameter correction module to conduct parameter qualification checking on the parameters of both the parameters through the edge calculation module, if no parameter information exists in the cloud data storage module, indicating that the parameters are new parameters, registering the new parameters through the data drift description unit, and extracting and checking the information of the new parameters through the parameter characteristic extraction unit after registration;
step S3: if the parameters are existing parameters, parameter information is directly extracted from the cloud data storage module, then the accuracy of the parameters is judged through the data transmission speed setting unit through the extracted new parameter information and the characteristic information of the existing parameters in the cloud data storage module, the setting level of the parameters is judged, and if the accuracy of the parameters is checked to be unqualified, the parameters are not qualified, prompt is carried out through the parameter abnormal parameter threshold warning unit, the characteristic information is conveniently compared, whether the characteristic information is consistent is confirmed, and if the parameters are not qualified after confirmation, the parameters are terminated through the parameter output module;
step S4: the parameter information which does not have the qualification of the parameter is transmitted to the cloud data storage module through the data updating and storing module for storage, so that the parameter information is convenient to directly compare when the parameter appears in the future, the normal parameter flow is carried out when the accuracy of the parameter is checked to be qualified, at the moment, the parameter calibration intelligent screen module carries out real-time monitoring on the parameter process, and the parameter setting prompting module carries out prompting of parameter setting;
step S5: temporary storage is carried out on the user identity through the system integrated management module, and at the moment, the system personal login module carries out secondary identity accuracy authentication on the user identity;
step S6: after the user identity authentication is qualified, the platform transfers the user identity to the user identity account, a parameter curve can be generated through the curve dynamic updating module, the user identity is returned to the login interface through the dynamic standard module at the moment to terminate the parameter when the accuracy of the user identity is unqualified as a parameter credential for secondary identity authentication, and meanwhile, when the data transmission speed setting unit judges that the parameter setting level is very poor and false parameters or malicious parameters and the like occur, the parameter threshold warning unit directly gives an alarm.
Compared with the prior art, the application provides a visual curve interface system and a visual curve interface method for dynamically balancing gain parameters, and the visual curve interface system and the visual curve interface method have the following beneficial effects: according to the system and the method for the visual curve interface of the dynamic balance gain parameters, the parameter process can be monitored in real time through the parameter calibration intelligent screen module, the user identity is temporarily stored through the system integrated management module, the system personal login module can conduct 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 the parameter curve can be generated through the curve dynamic updating module to serve as a parameter credential.
1. According to the application, the input of platform parameters can be detected through the parameter input module, the parameter qualification of the parameters can be checked through the parameter input module when the parameters are input, the cloud data storage module can store information data of the dynamic data, so that direct checking and comparison can be facilitated, the parameter abnormal parameter threshold warning unit can prompt when the parameters at the checking place do not have the parameter qualification, the characteristic information comparison can be facilitated, whether the characteristic information is consistent or not is confirmed, the parameters can be terminated through the parameter output module when the parameters still do not have the parameter qualification after confirmation, and the parameter information which does not have the parameter qualification can be transmitted into the cloud data storage module for storage through the data updating and storage module, so that the parameters can be directly compared in the future;
2. the application 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 the auditing place has the qualification of the parameter, the system integrated management module is used for temporarily storing the user identity, 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 the user identity account after the user identity authentication is qualified, and the parameter curve can be generated through the curve dynamic updating module to be used as the evidence of the parameter;
3. the application is convenient for registration of new parameters through the data drift description unit, the parameter characteristic extraction unit can extract and examine the information of the new parameters after the registration of the new parameters, and the data transmission speed setting unit can judge the accuracy of the parameters through the extracted new parameter information and the characteristic information of the existing parameters in the cloud data storage module respectively, so that the setting 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 setting level is very poor, and the conditions such as false parameters or malicious parameters appear, the parameters can be directly alarmed through the parameter threshold alarming unit, the occurrence of risk parameters is avoided, and the problem that the existing parameter flow system based on the dynamic balance gain technology lacks a perfect monitoring system is solved, so that the condition of risk parameters or even malicious parameters appears in the parameter flow is disturbed, and the safety of a parameter platform is seriously influenced is solved.
Drawings
FIG. 1 is a schematic diagram of a first configuration of the system of the present application;
FIG. 2 is a schematic diagram of a second embodiment of the system of the present application;
FIG. 3 is a schematic diagram of a third embodiment of the system of the present application;
FIG. 4 is a fourth schematic diagram of the system of the present application;
FIG. 5 is a schematic diagram of a fifth embodiment of the system of the present application;
FIG. 6 is a flow chart illustrating the use of the system of the present application.
In the figure: 1. a parameter input module; 2. an edge calculation module; 3. a parameter correction module; 4. the cloud data storage module; 5. a parameter abnormal parameter threshold warning unit; 6. a parameter output module; 7. a data updating and saving module; 8. parameter calibration intelligent screen module; 9. parameter setting reminding module; 10. a system comprehensive management module; 11. a system personal login module; 12. the 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 the parameter threshold warning unit.
Detailed Description
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other, and the present application will be further described in detail with reference to the drawings and the specific embodiments.
As shown in fig. 1-5, a visual curve interface system for dynamically equalizing gain parameters,
the system comprises: the parameter input module 1, 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 correction module 3, the parameter input module 1, the edge calculation module 2 and the parameter correction module 3 are connected in series, and the parameter correction 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 checking of parameters of both parameters can be performed through the edge calculation module 2 by controlling the parameter revision module 3 when the parameters are input;
the electrical output end of the parameter correction module 3 is respectively connected with a cloud data storage module 4, a parameter abnormal parameter threshold 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 warning unit 5, and the electrical output end of the parameter output module 6 is respectively connected with the data updating and saving 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 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 checking and comparison can be facilitated, the parameter abnormal parameter threshold warning unit 5 can prompt when parameters at checking places do not have parameter qualification, the parameters can be conveniently compared with characteristic information, whether the characteristic information is consistent is confirmed, and when the parameters still do not have the parameter qualification after confirmation, the parameters can be terminated through the parameter output module 6; the parameter output module 6 and the data updating and saving module 7 are connected in series, and the data updating and saving module 7 is electrically connected with the cloud data storage module 4;
the parameter information which does not have parameter qualification can be transmitted to the cloud data storage module 4 through the data updating and saving module 7 for storage, so that the parameter information can be directly compared when the parameter appears in the future; 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 integrated management module 10, the electrical output end of the system integrated management module 10 is connected with the system personal login module 11, and the parameter correction module 3, the parameter calibration intelligent screen module 8, the parameter setting reminding module 9 and the system integrated 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 the auditing department has the qualification of parameters, and the system integrated management module 10 is used for temporarily storing 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 parameter curve can be generated through the curve dynamic updating module 13 to serve as a parameter credential.
A visual curvilinear interface system for dynamically equalizing gain parameters, comprising: the data drift description unit 15 is connected to the electrical output end of the parameter correction 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 correction 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 convenient for registering new parameters, and the parameter characteristic extraction unit 16 can extract and audit the information of the new parameters after registering the new parameters;
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 characteristic extraction unit 16 and the data transmission speed setting unit 17 are electrically connected;
the data transmission speed setting unit 17 can respectively judge the accuracy of the parameters according to the extracted new parameter information and the characteristic information of the existing parameters in the cloud data storage module 4, so that the setting 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 setting level is very poor, and false parameters or malicious parameters appear;
the parameter threshold warning unit 18 is connected to the electrical output end of the parameter output module 6, and the parameter output module 6 is electrically connected with the parameter threshold warning unit 18;
the parameter threshold warning unit 18 can directly give an alarm to avoid the occurrence of risk parameters, and solves the problems that the existing parameter flow system based on the dynamic balance gain technology lacks a perfect monitoring system, so that the risk parameters and even malicious parameters can occur in the parameter process, the parameter flow is disturbed, and the safety of a parameter platform is seriously affected.
As shown in fig. 6, a visual curve interface system for dynamically equalizing gain parameters includes the following steps:
step S1: storing information data of the dynamic data through the cloud data storage module 4, checking and comparing, and detecting platform parameters through the parameter input module 1;
step S2: when the input of the platform parameters is detected, controlling the parameter correction module 3 to conduct parameter qualification checking on the parameters of both the parameters through the edge calculation module 2, if no parameter information exists in the cloud data storage module 4, indicating that the parameters are new parameters, registering the new parameters through the data drift description unit 15, and extracting and checking the information of the new parameters through the parameter characteristic extraction unit 16 after registration;
step S3: if the parameters are existing parameters, parameter information is directly extracted from the cloud data storage module 4, then the data transmission speed setting unit 17 is used for judging the accuracy of the parameters through the extracted new parameter information and the characteristic information of the existing parameters in the cloud data storage module 4, judging the setting level of the parameters, and if the accuracy of the parameters is not qualified, prompting by the parameter abnormal parameter threshold warning unit 5 at the moment, facilitating the comparison of the characteristic information, confirming whether the characteristic information is consistent or not, and stopping the parameters by the parameter output module 6 after confirming that the characteristic information is still not qualified;
step S4: the parameter information which does not have the qualification of the parameter is transmitted to the cloud data storage module 4 through the data updating and storing module 7 for storage, so that the parameter is convenient to directly compare when the parameter appears in the future, the normal parameter flow is carried out when the accuracy of the parameter is checked to be qualified, at the moment, the parameter calibration intelligent screen module 8 carries out real-time monitoring on the parameter process, and the parameter setting prompt module 9 carries out parameter setting prompt;
step S5: temporary storage is carried out on the user identity through the system integrated management module 10, and at the moment, the system personal login module 11 carries out secondary identity accuracy authentication on the user identity;
step S6: after the user identity authentication is qualified, the platform transfers the user identity to the user identity account, and then the curve dynamic updating module 13 can generate a parameter curve as a parameter evidence, for example, the accuracy of the user identity of the secondary identity authentication is unqualified, at this time, the dynamic standard module 14 returns the user identity to the login interface to terminate the parameter, and meanwhile, when the data transmission speed setting unit 17 judges that the parameter setting level is very poor and the conditions such as false parameters or malicious parameters occur, the parameter threshold warning unit 18 directly gives an alarm.
Working principle: when the visual curve interface system of the dynamic balance gain parameter is used, firstly, the cloud data storage module 4 stores information data of the existing parameters which are previously subjected to parameters on a dynamic balance gain platform, so that direct checking 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 checking module 3 is controlled by the edge calculation module 2 to check the qualification of the parameters of the two parameters, if no parameter information exists in the cloud data storage module 4, the parameters are described to be new parameters, at the moment, the data drift description unit 15 registers the new parameters, and the parameter feature extraction unit 16 extracts and checks the information of the new parameters after the registration;
secondly, if the parameters are existing parameters, parameter information is directly extracted from the cloud data storage module 4, then the data transmission speed setting unit 17 is used for judging the accuracy of the parameters through the extracted new parameter information and the characteristic information of the existing parameters in the cloud data storage module 4, judging the setting level of the parameters, and if the accuracy of the parameters is not qualified, prompting through the parameter abnormal parameter threshold warning unit 5, facilitating the comparison of the characteristic information, confirming whether the characteristic information is consistent or not, and stopping the parameters through the parameter output module 6 after confirming that the characteristic information is still not qualified;
then, parameter information which does not have 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 information is convenient to directly compare when the parameter appears in the future, when the parameter accuracy is checked to be qualified, a normal parameter flow is carried out, at the moment, the parameter calibration intelligent screen module 8 carries out real-time monitoring on the parameter process, the parameter setting reminding module 9 carries out parameter setting reminding, the system comprehensive management module 10 carries out temporary storage on the user identity, and at the moment, the system personal login module 11 carries out secondary identity accuracy authentication on the user identity;
finally, the platform transfers the user identity to the user identity account after the user identity authentication is qualified, and then the curve dynamic updating module 13 can generate a parameter curve as a parameter evidence, such as unqualified accuracy of the user identity of the secondary identity authentication, at the moment, the user identity is returned to the login interface through the dynamic standard module 14, the parameters are terminated, and meanwhile, when the data transmission speed setting unit 17 judges that the parameter setting level is very bad, false parameters or malicious parameters and the like occur, the parameter threshold warning unit 18 directly alarms, so that the occurrence of risk parameters is avoided, the parameter flow is disturbed, and the safety of the dynamic balance gain parameter platform is influenced.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "fixed" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art in a specific case.
Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various equivalent changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the application, the scope of which is defined in the appended claims and their equivalents.
Claims (3)
1. A visual curvilinear interface system for dynamically equalizing gain parameters, the system comprising:
the device comprises a parameter input module, an edge calculation module and a parameter correction module, wherein the output end of the parameter input module is connected with the edge calculation module and the parameter correction module, and the electrical output end of the parameter correction module is respectively connected with a cloud data storage module, a parameter abnormal parameter threshold warning unit and a parameter calibration intelligent screen module;
the parameter output module is connected with the electrical output end of the parameter abnormal parameter threshold warning unit, and the electrical output end of the parameter output module is respectively connected with the data updating and saving module and the dynamic standard module;
the parameter setting reminding module is connected with 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 integrated management module, and the electrical output end of the system integrated management module is connected with the system personal login module;
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;
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;
the parameter correction module is also provided with: 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 feature extraction unit, and the parameter correction module, the data drift description unit and the parameter feature extraction unit are connected in series;
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 and the data transmission speed setting unit are electrically connected;
the operation steps of the system comprise:
step S1: storing information data of the dynamic data through a cloud data storage module, checking and comparing, and detecting platform parameters through a parameter input module;
step S2: when the input of the platform parameters is detected, controlling the parameter correction module to conduct parameter qualification checking on the parameters of both the parameters through the edge calculation module, if no parameter information exists in the cloud data storage module, indicating that the parameters are new parameters, registering the new parameters through the data drift description unit, and extracting and checking the information of the new parameters through the parameter characteristic extraction unit after registration;
step S3: if the parameters are existing parameters, parameter information is directly extracted from the cloud data storage module, then the accuracy of the parameters is judged through the data transmission speed setting unit through the extracted new parameter information and the characteristic information of the existing parameters in the cloud data storage module, the setting level of the parameters is judged, and if the accuracy of the parameters is checked to be unqualified, the parameters are not qualified, prompt is carried out through the parameter abnormal parameter threshold warning unit, the characteristic information is conveniently compared, whether the characteristic information is consistent is confirmed, and if the parameters are not qualified after confirmation, the parameters are terminated through the parameter output module;
step S4: the parameter information which does not have the qualification of the parameter is transmitted to the cloud data storage module through the data updating and storing module for storage, so that the parameter information is convenient to directly compare when the parameter appears in the future, the normal parameter flow is carried out when the accuracy of the parameter is checked to be qualified, at the moment, the parameter calibration intelligent screen module carries out real-time monitoring on the parameter process, and the parameter setting prompting module carries out prompting of parameter setting;
step S5: temporary storage is carried out on the user identity through the system integrated management module, and at the moment, the system personal login module carries out secondary identity accuracy authentication on the user identity;
step S6: after the user identity authentication is qualified, the platform transfers the user identity to the user identity account, a parameter curve can be generated through the curve dynamic updating module, the user identity is returned to the login interface through the dynamic standard module at the moment to terminate the parameter when the accuracy of the user identity is unqualified as a parameter credential, and meanwhile, when the data transmission speed setting unit judges that the parameter setting level is very poor and false parameters or malicious parameters occur, the parameter threshold warning unit directly gives an alarm.
2. The visual curve interface system of claim 1, wherein the parameter output module and the data update storage module are connected in series, and the data update storage module is electrically connected with the cloud data storage module.
3. The visual curve interface system of claim 1, wherein the parameter output module is further configured to: the parameter threshold warning unit is connected with the electrical output end of the parameter output module, and the parameter output module is electrically connected with the parameter threshold warning unit.
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