CN115858892A - Dynamic visualization system for internet database - Google Patents
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Abstract
The invention discloses a dynamic visualization system of an internet database, 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 dynamic visualization system of an internet database.
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 the like, is just 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 has been widely used as a trading platform at present.
The existing transaction process system based on the dynamic equilibrium gain technology lacks a perfect monitoring system, so that the condition of risk transaction and even malicious transaction can occur in the transaction process, the transaction process is disturbed, and the safety of a transaction platform is seriously influenced.
Disclosure of Invention
In order to overcome the defects and shortcomings in the prior art, the invention provides a dynamic visualization system for an internet database.
The system comprises:
the electric output end of the parameter input module is connected with an edge calculation module, the electric output end of the edge calculation module is connected with a parameter correction module, and the electric output end of the parameter correction module is respectively connected with a cloud data storage module, a parameter abnormal parameter threshold value 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 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 correcting 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.
An internet database dynamic visualization system, comprising the steps of:
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 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, judging the set level of the parameter, prompting through a parameter abnormal parameter threshold warning unit if the accuracy of the parameter is checked to be unqualified and the parameter is not qualified, facilitating the comparison of the characteristic information of the parameter, confirming whether the characteristic information is consistent or not, and stopping the parameter through a parameter output module when the parameter is not qualified after confirmation;
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 dynamic visualization system and method for an internet database, which have the following beneficial effects: according to the dynamic visualization system and method for the Internet database, 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 comprehensive management module, the system personal login module can perform 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 serve as a parameter certificate.
1. The parameter input module can detect the input of platform parameters, the edge computing module can control the parameter revision module to check the parameter qualification of the parameters of both sides 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 the parameter qualification, the parameters can be conveniently compared with characteristic information, whether the characteristic information is consistent or not is confirmed, when the parameters do not have the parameter qualification after confirmation, the parameters can be terminated through the parameter output module, the parameter information without the parameter qualification can be transmitted into the cloud data storage module through the data updating and storing module to be stored, and the parameters can be conveniently and directly compared 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 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 of false parameters or malicious parameters and the like occur, the alarm can be directly performed through the parameter threshold value warning unit, 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 conditions of risk parameters and even malicious parameters can 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 view 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.
Detailed Description
It should be noted that the embodiments and features of the embodiments can be combined with each other without conflict, and the embodiments are further described in detail with reference to the drawings and specific examples.
As shown in fig. 1 to 3, an internet database dynamic visualization system;
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 edge calculation module is connected with the parameter correction module, 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;
the input of platform parameters can be detected through the parameter input module, and the parameter qualification of the parameters of both sides of the parameters can be checked through the parameter correction module when the parameters are input through the edge calculation module;
the electrical output end of the parameter correction module is respectively connected with a cloud data storage module, a parameter abnormal parameter threshold value warning unit and a parameter calibration intelligent screen module; the parameter output module is connected to 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 correcting module is electrically connected with the cloud data storage module, and the parameter correcting module, the parameter abnormal parameter threshold value warning unit and the parameter output module are connected in series; the cloud data storage module can store information data of the dynamic data, so that direct auditing and comparison can be facilitated, the parameter abnormal parameter threshold value warning unit 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 confirmation, the parameters can be terminated through the parameter output module; the parameter output module is connected with the data updating and storing module in series, and the data updating and storing module is electrically connected with the cloud data storage module;
parameter information without parameter qualification can be transmitted to the cloud data storage module through the data updating and storing module for storage, so that the parameter can be directly compared in the future when the parameter appears; the parameter setting and reminding module is connected to the electrical output end of the parameter calibration intelligent screen module, the electrical output end of the parameter setting and 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 individual login module, and the parameter correction module, the parameter calibration intelligent screen module, the parameter setting and reminding module and the system comprehensive management module are connected in series;
the parameter calibration intelligent screen module can monitor the parameter process in real time, the parameter setting reminding module can prompt parameter setting after the parameter qualification is achieved at the auditing position, and the system comprehensive management module is used for temporarily storing the user identity; 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;
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 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 as a parameter certificate.
As shown in fig. 3 to 5, a dynamic visualization system for internet database includes: 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;
the parameter correcting module, the data drift description unit and the parameter characteristic extraction unit are connected in series. The data drift description unit is convenient for registering new parameters, and the parameter feature extraction unit can extract and verify the information of the new parameters after the new parameters are registered;
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;
the accuracy of the parameters can be judged through the data transmission speed setting unit according to 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 situations of false parameters or malicious parameters and the like occur;
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;
the alarm can be directly carried out through the parameter threshold value alarm unit, the risk parameter is avoided, and the problems that an existing parameter process system based on a dynamic equilibrium gain technology is lack of a perfect monitoring system, so that the risk parameter and even the malicious parameter can occur in the parameter process, the parameter process is disturbed, and the safety of a parameter platform is seriously influenced are solved.
As shown in fig. 6, a dynamic visualization system for internet database includes 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 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, judging the set level of the parameter, prompting through a parameter abnormal parameter threshold warning unit if the accuracy of the parameter is checked to be unqualified and the parameter is not qualified, facilitating the comparison of the characteristic information of the parameter, confirming whether the characteristic information is consistent or not, and stopping the parameter through a parameter output module when the parameter is not qualified after confirmation;
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: and when the 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 parameter threshold value warning unit directly gives an alarm.
The working principle is as follows: when the dynamic visualization system of the internet database is used, firstly, the existing parameters of the parameters on the dynamic balanced gain platform are stored through the cloud data storage module, so that direct verification and comparison are facilitated, the platform parameters are detected through the parameter input module, when the input of the platform parameters is detected, the parameter qualification verification of the parameters of the two parties of the parameters is performed through the edge calculation module control parameter correction module, at the moment, if no parameter information exists in the cloud data storage module, the parameters are new parameters, at the moment, the new parameters are registered through the data drift description unit, and after the registration, the information of the new parameters is extracted and verified through the parameter characteristic extraction unit;
secondly, if the parameter is an existing parameter, directly extracting parameter information from the cloud data storage module, judging the accuracy 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 is not qualified, the parameter is prompted through the parameter abnormal parameter threshold warning unit, so that the parameter is compared with the characteristic information, whether the characteristic information is consistent or not is confirmed, and when the parameter is not qualified after the confirmation, the parameter is terminated through the parameter output module;
then, 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, the parameter calibration intelligent screen module monitors the parameter process in real time, the parameter setting reminding module prompts parameter setting, the system comprehensive management module temporarily stores the user identity, and the system personal login module carries out secondary identity accuracy authentication on the user identity;
and 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 a curve dynamic updating module 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 a dynamic standard module at the moment, the parameters are terminated, and meanwhile, when a data transmission speed setting unit judges that the parameter setting level is very poor and the conditions of false parameters or malicious parameters and the like occur, an alarm is directly given through a parameter threshold value warning unit, so that the occurrence of risk parameters, the disturbance of the parameter flow and the influence on the safety of a dynamic equilibrium gain parameter platform are avoided, and the working principle of the dynamic visualization system and the working principle of the dynamic visualization method for the internet database 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 by the appended claims and their equivalents.
Claims (10)
1. A system for dynamically visualizing internet databases, the system comprising:
the electric output end of the parameter input module is connected with an edge calculation module, the electric output end of the edge calculation module is connected with a parameter correction module, and the electric output end of the parameter correction module is respectively connected with a cloud data storage module, a parameter abnormal parameter threshold value 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 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 electric output end of the system personal login module is connected with a data real-time tracking module, and the electric output end of the data real-time tracking module is connected with a curve dynamic updating module.
2. The system for dynamically visualizing the internet database as claimed in claim 1, wherein the parameter input module, the edge calculation module and the parameter revision module are connected in series, and the parameter revision module is electrically connected to the edge calculation module.
3. The system according to 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 and the data update storage module are connected in series, and the data update storage module is electrically connected to the cloud data storage module.
5. The system as claimed in 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 system for dynamically visualizing the internet database as claimed in claim 1, wherein the system integrated management module, the system personal registration module, the data real-time tracking module and the curve dynamic update module are connected in series, and the system personal registration module, the parameter output module and the dynamic standard module are connected in series.
7. The system for dynamically visualizing the internet database as claimed in claim 1, wherein said parameter revision 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 system for dynamically visualizing the internet database according to claim 7, wherein the 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 system for dynamically visualizing the internet database as claimed in claim 1, wherein the parameter output module further comprises: 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 system for dynamic visualization of internet databases as claimed in any of claims 1 to 9, wherein the system is operated by the steps of:
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 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, judging the set level of the parameter, prompting through a parameter abnormal parameter threshold warning unit if the accuracy of the parameter is checked to be unqualified and the parameter is not qualified, facilitating the comparison of the characteristic information of the parameter, confirming whether the characteristic information is consistent or not, and stopping the parameter through a parameter output module when the parameter is not qualified after confirmation;
and step S4: parameter information without parameter qualification is transmitted to a cloud data storage module through a data updating and storing module for storage, so that the parameter can be directly compared later when appearing, a normal parameter flow is carried out when the accuracy of the parameter is qualified after being checked, the parameter calibration intelligent screen module carries out real-time monitoring on the parameter process at the moment, and the parameter setting reminding module carries out parameter setting reminding;
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 parameter setting level is very poor and the condition of false parameters or malicious parameters occurs, the alarm is directly given through a parameter threshold value warning unit.
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