CN117648213B - Data transmission path model building method and system - Google Patents

Data transmission path model building method and system Download PDF

Info

Publication number
CN117648213B
CN117648213B CN202410124615.9A CN202410124615A CN117648213B CN 117648213 B CN117648213 B CN 117648213B CN 202410124615 A CN202410124615 A CN 202410124615A CN 117648213 B CN117648213 B CN 117648213B
Authority
CN
China
Prior art keywords
data
data transmission
transmission path
determining
screening
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202410124615.9A
Other languages
Chinese (zh)
Other versions
CN117648213A (en
Inventor
石杰
廖家林
陶嘉驹
张雪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangyin Consumer Finance Co ltd
Original Assignee
Hangyin Consumer Finance Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hangyin Consumer Finance Co ltd filed Critical Hangyin Consumer Finance Co ltd
Priority to CN202410124615.9A priority Critical patent/CN117648213B/en
Publication of CN117648213A publication Critical patent/CN117648213A/en
Application granted granted Critical
Publication of CN117648213B publication Critical patent/CN117648213B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/54Interprogram communication

Landscapes

  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Maintenance And Management Of Digital Transmission (AREA)

Abstract

The invention provides a data transmission path model building method and a system, which belong to the technical field of data processing, and specifically comprise the following steps: the method comprises the steps of obtaining the number of data transmission channels of different application systems, determining the system importance and screening application systems of the different application systems by combining the data anomaly probability and the data importance of the different data transmission channels, determining the screening transmission channels based on the system importance and the data transmission channels of the screening application systems, carrying out modeling processing of the different screening transmission channels according to the associated application systems of the different screening transmission channels to obtain a channel model, and displaying based on the monitoring result and the channel model of the transmission data of the screening transmission channels, so that the intuitiveness and reliability of monitoring of the data transmission channels are improved.

Description

Data transmission path model building method and system
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a data transmission path model building method and system.
Background
The application system in enterprises has complex conditions, especially large enterprises, various service systems and various analysis systems, and belongs to various problems caused by different service fields, different service parties, different technical platforms, different deployment positions, different service guarantee levels, different data volumes and different timeliness requirements, but the problems relate to various data transmission activities among the enterprises, the links are complicated and difficult to manage, and data transmission errors often occur.
In order to solve the above technical problems, in the invention CN202210434970.7, a method, an apparatus, and a server for analyzing data flow direction, a sharing relationship between service systems is obtained, and a data flow direction result between service systems is determined according to the analysis result, so that efficiency of data analysis processing is improved, but the following technical problems exist:
Because the data transmission links between different service systems are complex, if modeling analysis processing cannot be performed according to the data transmission results of different data transmission links, accurate determination of the data transmission condition of the data transmission links cannot be efficiently and intuitively realized.
The invention provides a data transmission path model building method and a data transmission path model building system aiming at the technical problems.
Disclosure of Invention
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
according to one aspect of the invention, a data transmission path model building method is provided.
The method for constructing the data transmission path model is characterized by comprising the following steps of:
S1, determining a data transmission path between different application systems corresponding to a service type based on the service type, and determining the data importance and screening transmission paths of the data transmission path according to the data transmission quantity and real-time control requirements;
S2, taking the associated application system of the data transmission path as an associated application system, acquiring changed data of transmission data of the data transmission path, and combining the associated application system of the data transmission path to determine abnormal probability of data of different data transmission paths and screen the transmission path;
S3, acquiring the number of data transmission channels of different application systems, determining the system importance of the different application systems and screening the application systems by combining the data anomaly probability and the data importance of the different data transmission channels, and determining the screening transmission channels based on the system importance and the data transmission channels of the screening application systems;
And S4, carrying out modeling processing of different screening transmission channels according to the associated application systems of the different screening transmission channels to obtain a channel model, and displaying based on the monitoring result of the transmission data of the screening transmission channels and the channel model.
The invention has the beneficial effects that:
1. the data importance of the data transmission channels and the determination of the screening transmission channels are carried out according to the data transmission quantity and the real-time control requirement, so that the data importance of the data transmission channels is evaluated from two angles of the data transmission quantity and the real-time control requirement, the screening of the screening transmission channels with larger data quantity and higher real-time requirement is realized, and the foundation is laid for further ensuring the monitoring of the transmission data of the screening transmission channels.
2. According to the change data of the transmission data and the associated application systems of the data transmission channels, different data transmission channel data anomaly probabilities and screening transmission channel determination are carried out, the situation that the data anomaly probability of the transmission data is large due to the fact that the change times are large is considered, the situation that the data anomaly probability of the transmission data is large due to the number of the associated application systems is considered, and a foundation is laid for monitoring the transmission data of the screening transmission channels with the large data anomaly probability.
3. The monitoring result and the channel model based on the transmission data of the screening transmission channel are displayed, so that the real-time monitoring and displaying of the transmission condition of the transmission data of the screening transmission channel with higher importance and higher abnormal probability are realized, the monitoring of the data abnormality is more visual and accurate, and the reliability of the data is ensured.
The further technical scheme is that the method for determining the data transmission path comprises the following steps:
And determining corresponding service systems of different service types according to the different service types, and determining a data transmission path according to the corresponding service systems of the different service types and the data transmission relation among the corresponding service systems.
The further technical scheme is that the real-time control requirement is determined according to the response time requirement of the service type corresponding to the data transmission channel.
The further technical scheme is that the screening transmission path is determined based on the importance of the system and the data transmission path of the screening application system, and specifically includes:
And determining a channel importance threshold of the data transmission channel of the screening application system according to the system importance of the screening application system, and determining the screening transmission channel according to the data transmission channel of the screening application system and the channel importance threshold.
In a second aspect, the present invention provides a computer system comprising: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor executes the data transmission path model building method when running the computer program.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention as set forth hereinafter.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings;
FIG. 1 is a flow chart of a method of modeling a data transmission path;
FIG. 2 is a flow chart of a method of determining importance of data;
FIG. 3 is a flow chart of a method of determining a probability of data anomalies for a data transmission path;
FIG. 4 is a flow chart of a method of determining system importance of an application system;
FIG. 5 is a block diagram of a computer system.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present disclosure.
For financial institutions, when different business types are operated, a specific user needs to operate an identity verification system, a loan type display system, a protocol signing system, an information filling system and an information processing uploading system when carrying out credit application, and data transmission is carried out to a certain extent between different application systems to form a data transmission channel.
In order to solve the technical problems, the following technical schemes are adopted, and the determination of screening transmission paths which need to carry out modeling processing of data transmission channels is realized through three schemes:
the first type is determined from the aspects of data volume and real-time control requirement:
Determining data transmission paths among different application systems corresponding to service types, determining the data importance of the data transmission paths and screening the transmission paths according to the data transmission quantity and real-time control requirements, and specifically determining the data importance by the ratio of the data quantity to the preset data quantity and the weight of the time control requirements of the data transmission and taking the data transmission path with larger data importance as the screening transmission path;
the second type of data change condition from the data transmission path is determined:
The method comprises the steps that associated application systems of a data transmission path are used as associated application systems, different data abnormality probabilities of the data transmission path and determination of screening transmission paths are carried out according to the change times of transmission data of the data transmission path and the number of the associated application systems of the data transmission path, specifically, the data abnormality probabilities under the change times and the number of the associated application systems can be obtained through mapping processing, and the maximum value of the data abnormality probabilities under the change times and the number of the associated application systems is used as the data abnormality probability of the data transmission path, and the data abnormality probability is larger as the screening transmission path;
the third type of determination is made from the perspective of the data transmission path associated with the application system that is more busy in service:
Determining the system importance of different application systems and screening application systems according to the number of data transmission channels of different application systems, the data anomaly probability of different data transmission channels and the data importance, specifically, taking the product of the data anomaly probability of different data transmission channels and the data importance as the weight value of different data transmission channels, determining the system importance of different application systems according to the number of the weight values of different application systems and determining the system importance of different application systems, taking the application system with higher system importance as the screening application system, and finally determining the screening transmission channel through the data transmission channel of the screening application system;
After the screened transmission path is obtained, the following scheme is adopted for model construction and data monitoring of the screened transmission path:
And modeling different screening transmission channels according to the associated application systems of the different screening transmission channels to obtain a channel model, and displaying based on the monitoring result of the transmission data of the screening transmission channels and the channel model.
Further shown from two perspectives of the method class embodiment and the system class embodiment are:
In order to solve the above-mentioned problems, according to an aspect of the present invention, as shown in fig. 1, there is provided a data transmission path model building method, which is characterized by specifically comprising:
S1, determining a data transmission path between different application systems corresponding to a service type based on the service type, and determining the data importance and screening transmission paths of the data transmission path according to the data transmission quantity and real-time control requirements;
Specifically, the method for determining the data transmission path includes:
And determining corresponding service systems of different service types according to the different service types, and determining a data transmission path according to the corresponding service systems of the different service types and the data transmission relation among the corresponding service systems.
Further, the real-time control requirement is determined according to the response time requirement of the service type corresponding to the data transmission path.
In one possible embodiment, as shown in fig. 2, the method for determining the importance of the data in the step S1 is as follows:
S11, determining data transmission amounts of different time periods in unit time according to historical transmission data of the data transmission path, and determining data transmission busyness of the data transmission path according to the data transmission amounts of the different time periods;
S12, determining the data processing delay requirement of the data transmission path based on the real-time control requirement of the data transmission path, and determining the comprehensive delay evaluation quantity of the data transmission path by combining the processing delays of the data in different time periods of the data transmission path in unit time and the data processing times of which the processing delays do not meet the data processing delay requirement;
And S13, determining the data importance of the data transmission path through the comprehensive delay evaluation and data processing busyness.
Further, determining the data transmission busyness of the data transmission path according to the data transmission amounts of the different time periods specifically includes:
And determining the time period duty ratio of the data transmission amount larger than the preset data amount and the average data transmission amount in the time period of the data transmission amount larger than the preset data amount according to the data transmission amounts of different time periods, and determining the data transmission busyness of the data transmission channel based on the product of the time period duty ratio, the average data transmission amount and the ratio of the preset data amount.
It is understood that the preset data amount is determined according to an average value of data transmission amounts of the data transmission paths in different periods.
In another possible embodiment, the method for determining the importance of the data in the step S1 is as follows:
determining data transmission amounts of different time periods in unit time according to historical transmission data of the data transmission path, and determining the data transmission path as a screening transmission path without evaluating the importance of the data when the time length of the data transmission amount is longer than the preset time length;
When the time length of the data transmission quantity is longer than the preset data quantity, determining the data processing delay requirement of the data transmission channel based on the real-time control requirement of the data transmission channel, and when the processing delay does not meet the data processing times of the data processing delay and is longer than the preset data processing times, determining the data transmission channel as a screening transmission channel without evaluating the importance of the data;
when the processing delay does not meet the data processing times of the data processing delay and is not more than the preset data processing times, determining the data transmission busyness of the data transmission channel according to the data transmission quantity of different time periods, the duration of the data transmission quantity being more than the preset data quantity and the duration duty ratio, and when the data processing busyness is more than the preset busyness, determining the data transmission channel as a screening transmission channel without evaluating the importance of the data;
When the data processing busyness is not more than the preset busyness, determining the comprehensive delay evaluation amount of the data transmission path based on the data processing delay requirement of the data transmission path, the processing delays of the data in different time periods of the data transmission path in unit time and the data processing times of which the processing delays do not meet the data processing delays;
And determining the data importance of the data transmission path through the comprehensive delay evaluation and data processing busyness.
In another possible embodiment, the method for determining the importance of the data in the step S1 is as follows:
s11, determining data transmission amounts of different time periods in unit time according to historical transmission data of the data transmission path, judging whether the time length of the data transmission amount larger than the preset data amount is larger than the preset time length, if so, entering a step S13, and if not, entering a next step;
S12, determining a data processing delay requirement of the data transmission path based on the real-time control requirement of the data transmission path, judging whether the processing delay does not meet the data processing times of the data processing delay is larger than the preset data processing times, if so, entering the next step, and if not, entering the step S15;
S13, determining the data transmission busyness of the data transmission channel according to the data transmission quantity in different time periods, the time length of which is larger than the preset data quantity and the time length duty ratio, judging whether the data transmission busyness is larger than the preset busyness, if so, not evaluating the importance of the data, determining the data transmission channel as a screening transmission channel, and if not, entering the next step;
S14, determining the comprehensive delay evaluation amount of the data transmission path based on the data processing delay requirement of the data transmission path, the processing delay of the data transmission path in different time periods in unit time and the data processing times of which the processing delay does not meet the data processing delay, judging whether the comprehensive delay evaluation amount of the data transmission path meets the requirement, if so, entering the next step, if not, determining the data transmission path as a screening transmission path without evaluating the importance of the data;
And S15, determining the data importance of the data transmission path through the comprehensive delay evaluation value and the data processing busyness.
S2, taking the associated application system of the data transmission path as an associated application system, acquiring changed data of transmission data of the data transmission path, and combining the associated application system of the data transmission path to determine abnormal probability of data of different data transmission paths and screen the transmission path;
further, the change data of the transmission data includes the change times of the transmission data and the change times of different associated application systems.
In one possible embodiment, the method for determining the probability of data anomaly of the data transmission path in the step S2 is as follows:
Determining the change times of the transmission data of the data transmission path based on the change data, and determining that the data abnormality probability of the data transmission path does not meet the requirement when the change times of the transmission data of the data transmission path do not meet the requirement, and taking the data transmission path as a screening transmission path;
When the change times of the transmission data of the data transmission channel meet the requirement, acquiring the number of associated application systems of the data transmission channel, and when the number of the associated application systems of the data transmission channel does not meet the requirement, determining that the abnormal probability of the data transmission channel does not meet the requirement, and taking the data transmission channel as a screening transmission channel;
When the number of the related application systems of the data transmission path meets the requirement, determining the data base abnormality probability of the data transmission path according to the number of the related application systems of the data transmission path and the data transmission times of different related application systems, and when the data base abnormality probability of the data transmission path does not meet the requirement, determining that the data abnormality probability of the data transmission path does not meet the requirement and taking the data transmission path as a screening transmission path;
When the data basic abnormality probability of the data transmission path meets the requirement, determining the change times of the transmission data of the data transmission path based on the change data, and determining the data change abnormality probability of the data transmission path by combining the number of related application systems with data change and the change times of different related application systems, when the data change abnormality probability of the data transmission path does not meet the requirement, determining that the data abnormality probability of the data transmission path does not meet the requirement, and taking the data transmission path as a screening transmission path;
And when the data change abnormal probability of the data transmission path meets the requirement, determining the data abnormal probability through the data base abnormal probability and the data change abnormal probability.
Further, the value range of the data abnormality probability of the data transmission path is between 0 and 1, wherein the larger the data abnormality probability of the data transmission path is, the larger the probability of abnormality of the transmission data of the data transmission path is.
In another possible embodiment, as shown in fig. 3, the method for determining the probability of data anomaly of the data transmission path in the step S2 is as follows:
s21, determining the data base abnormality probability of the data transmission path according to the number of the related application systems of the data transmission path and the data transmission times of different related application systems;
S22, determining the change times of the transmission data of the data transmission path based on the change data, and determining the abnormal probability of the data change of the data transmission path by combining the number of the related application systems with the data change and the change times of different related application systems;
s23, determining the data anomaly probability according to the data base anomaly probability and the data change anomaly probability.
In another possible embodiment, the method for determining the probability of data anomaly of the data transmission path in the step S2 is as follows:
S21, judging whether the data transmission times of the transmission data of the data transmission channel are larger than preset transmission times, if not, entering the next step, and if so, entering the step S23;
S22, determining the number of times of changing the transmission data of the data transmission channel based on the change data, judging whether the number of times of changing the transmission data is larger than a preset number of times of changing, if so, proceeding to the next step, and if not, proceeding to the step S25;
s23, determining the data base abnormality probability of the data transmission channels according to the number of the associated application systems of the data transmission channels and the data transmission times of different associated application systems, judging whether the data base abnormality probability of the data transmission channels does not meet the requirement, if so, determining that the data abnormality probability of the data transmission channels does not meet the requirement, taking the data transmission channels as screening transmission channels, and if not, entering the next step;
S24, determining the change times of the transmission data of the data transmission channel based on the change data, determining the data change abnormality probability of the data transmission channel by combining the number of related application systems with data change and the change times of different related application systems, judging whether the data base abnormality probability of the data transmission channel does not meet the requirement, if so, determining that the data abnormality probability of the data transmission channel does not meet the requirement, taking the data transmission channel as a screening transmission channel, and if not, entering the next step;
S25, determining the data anomaly probability according to the data base anomaly probability and the data change anomaly probability.
S3, acquiring the number of data transmission channels of different application systems, determining the system importance of the different application systems and screening the application systems by combining the data anomaly probability and the data importance of the different data transmission channels, and determining the screening transmission channels based on the system importance and the data transmission channels of the screening application systems;
In one possible embodiment, as shown in fig. 4, the method for determining the system importance of the application system in step S3 above is as follows:
S31, determining monitoring necessity of different data transmission paths according to data anomaly probabilities and data importance of different data transmission paths of the application system, and dividing the data transmission paths of the application system into important transmission paths and general transmission paths according to the monitoring necessity;
S32, determining the channel importance of the important transmission channels of the application system based on the monitoring necessity of the important transmission channels of the application system and the number of the important transmission channels, and determining the channel importance of the general transmission channels of the application system based on the monitoring necessity of the general transmission channels of the application system and the number of the general transmission channels;
s33, determining the system importance of the application system according to the channel importance of the important transmission channel and the channel importance of the general transmission channel.
In another possible embodiment, the method for determining the system importance of the application system in the step S3 is as follows:
Determining the monitoring necessity of different data transmission paths according to the data anomaly probability and the data importance of different data transmission paths of the application system, and determining the application system as a screening application system when the sum of the monitoring necessity of different data transmission paths of the application system is larger than a preset necessity threshold;
When the sum of monitoring necessity of different data transmission paths of the application system is not more than a preset necessity threshold, dividing the data transmission paths of the application system into important transmission paths and general transmission paths according to the monitoring necessity, and when the number of the important transmission paths is more than the preset number of paths, determining that the application system is a screening application system;
Determining the channel importance of the important transmission channels of the application system based on the monitoring necessity of the important transmission channels of the application system and the number of the important transmission channels when the number of the important transmission channels is not more than a preset channel number, and determining the application system as a screening application system when the channel importance of the important transmission channels of the application system is more than a preset importance threshold;
When the channel importance of the important transmission channel of the application system is larger than a preset importance threshold value, determining the channel importance of the general transmission channel of the application system based on the monitoring necessity of the general transmission channel of the application system and the number of the general transmission channels, and determining the system importance of the application system according to the channel importance of the important transmission channel and the channel importance of the general transmission channel.
In another possible embodiment, the method for determining the system importance of the application system in the step S3 is as follows:
S31, determining the monitoring necessity of different data transmission paths according to the data anomaly probabilities and the data importance of different data transmission paths of the application system;
s32, judging whether the number of the data transmission channels of the application system is smaller than a transmission channel number limiting value, if so, entering the next step, and if not, entering the step S34;
s33, determining whether an important transmission path exists in the application system or not based on the monitoring necessity, if so, entering the next step, and if not, determining that the application system does not belong to a screening application system;
s34, dividing the data transmission channels of the application system into important transmission channels and general transmission channels according to the monitoring necessity, determining the channel importance of the important transmission channels of the application system based on the monitoring necessity of the important transmission channels of the application system and the number of the important transmission channels, judging whether the channel importance of the important transmission channels of the application system is greater than a preset importance threshold value, if so, determining that the application system is a screening application system, and if not, entering the next step;
S35, determining the path importance of the general transmission path of the application system based on the monitoring necessity of the general transmission path of the application system and the number of the general transmission paths, and determining the system importance of the application system according to the path importance of the important transmission path and the path importance of the general transmission path.
And S4, carrying out modeling processing of different screening transmission channels according to the associated application systems of the different screening transmission channels to obtain a channel model, and displaying based on the monitoring result of the transmission data of the screening transmission channels and the channel model.
Specifically, determining a screening transmission path based on the importance of the system and the data transmission path of the screening application system specifically includes:
And determining a channel importance threshold of the data transmission channel of the screening application system according to the system importance of the screening application system, and determining the screening transmission channel according to the data transmission channel of the screening application system and the channel importance threshold.
In another aspect, as shown in FIG. 5, the present invention provides a computer system comprising: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor executes the data transmission path model building method when running the computer program.
Through the above embodiments, the present invention has the following beneficial effects:
1. the data importance of the data transmission channels and the determination of the screening transmission channels are carried out according to the data transmission quantity and the real-time control requirement, so that the data importance of the data transmission channels is evaluated from two angles of the data transmission quantity and the real-time control requirement, the screening of the screening transmission channels with larger data quantity and higher real-time requirement is realized, and the foundation is laid for further ensuring the monitoring of the transmission data of the screening transmission channels.
2. According to the change data of the transmission data and the associated application systems of the data transmission channels, different data transmission channel data anomaly probabilities and screening transmission channel determination are carried out, the situation that the data anomaly probability of the transmission data is large due to the fact that the change times are large is considered, the situation that the data anomaly probability of the transmission data is large due to the number of the associated application systems is considered, and a foundation is laid for monitoring the transmission data of the screening transmission channels with the large data anomaly probability.
3. The monitoring result and the channel model based on the transmission data of the screening transmission channel are displayed, so that the real-time monitoring and displaying of the transmission condition of the transmission data of the screening transmission channel with higher importance and higher abnormal probability are realized, the monitoring of the data abnormality is more visual and accurate, and the reliability of the data is ensured.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, devices, non-volatile computer storage medium embodiments, the description is relatively simple, as it is substantially similar to method embodiments, with reference to the section of the method embodiments being relevant.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing is merely one or more embodiments of the present description and is not intended to limit the present description. Various modifications and alterations to one or more embodiments of this description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of one or more embodiments of the present description, is intended to be included within the scope of the claims of the present description.

Claims (9)

1. The method for constructing the data transmission path model is characterized by comprising the following steps of:
Determining a data transmission path between different application systems corresponding to a service type based on the service type, and determining the data importance and screening transmission paths of the data transmission path according to the data transmission quantity and real-time control requirements;
The associated application system of the data transmission path is used as an associated application system, changed data of transmission data of the data transmission path is obtained, and the associated application system of the data transmission path is combined to determine abnormal probability of data of different data transmission paths and to screen the transmission paths;
acquiring the number of data transmission channels of different application systems, determining the system importance of the different application systems and screening application systems by combining the data anomaly probability and the data importance of the different data transmission channels, and determining the screening transmission channels based on the system importance and the data transmission channels of the screening application systems;
modeling different screening transmission channels according to the associated application systems of the different screening transmission channels to obtain a channel model, and displaying based on the monitoring result of the transmission data of the screening transmission channels and the channel model;
the method for determining the data anomaly probability of the data transmission path comprises the following steps:
Determining the change times of the transmission data of the data transmission path based on the change data, and determining that the data abnormality probability of the data transmission path does not meet the requirement when the change times of the transmission data of the data transmission path do not meet the requirement, and taking the data transmission path as a screening transmission path;
When the change times of the transmission data of the data transmission channel meet the requirement, acquiring the number of associated application systems of the data transmission channel, and when the number of the associated application systems of the data transmission channel does not meet the requirement, determining that the abnormal probability of the data transmission channel does not meet the requirement, and taking the data transmission channel as a screening transmission channel;
When the number of the related application systems of the data transmission path meets the requirement, determining the data base abnormality probability of the data transmission path according to the number of the related application systems of the data transmission path and the data transmission times of different related application systems, and when the data base abnormality probability of the data transmission path does not meet the requirement, determining that the data abnormality probability of the data transmission path does not meet the requirement and taking the data transmission path as a screening transmission path;
When the data basic abnormality probability of the data transmission path meets the requirement, determining the change times of the transmission data of the data transmission path based on the change data, and determining the data change abnormality probability of the data transmission path by combining the number of related application systems with data change and the change times of different related application systems, when the data change abnormality probability of the data transmission path does not meet the requirement, determining that the data abnormality probability of the data transmission path does not meet the requirement, and taking the data transmission path as a screening transmission path;
And when the data change abnormal probability of the data transmission path meets the requirement, determining the data abnormal probability through the data base abnormal probability and the data change abnormal probability.
2. The method for constructing a data transmission path model according to claim 1, wherein the method for determining the data transmission path is as follows:
And determining corresponding service systems of different service types according to the different service types, and determining a data transmission path according to the corresponding service systems of the different service types and the data transmission relation among the corresponding service systems.
3. The method for constructing a data transmission path model according to claim 1, wherein the real-time control requirement is determined according to a response time requirement of a service type corresponding to the data transmission path.
4. The method for constructing a data transmission path model according to claim 1, wherein the method for determining the importance of the data is as follows:
Determining data transmission amounts of different time periods in unit time according to historical transmission data of the data transmission path, and determining data transmission busyness of the data transmission path according to the data transmission amounts of the different time periods;
Determining the data processing delay requirement of the data transmission path based on the real-time control requirement of the data transmission path, and determining the comprehensive delay evaluation quantity of the data transmission path by combining the processing delays of the data in different time periods of the data transmission path in unit time and the data processing times of which the processing delays do not meet the data processing delay requirement;
And determining the data importance of the data transmission path through the comprehensive delay evaluation and data processing busyness.
5. The method for constructing a data transmission path model according to claim 4, wherein determining the data transmission busyness of the data transmission path according to the data transmission amounts of the different time periods specifically comprises:
And determining the time period duty ratio of the data transmission amount larger than the preset data amount and the average data transmission amount in the time period of the data transmission amount larger than the preset data amount according to the data transmission amounts of different time periods, and determining the data transmission busyness of the data transmission channel based on the product of the time period duty ratio, the average data transmission amount and the ratio of the preset data amount.
6. The data transmission path model construction method according to claim 1, wherein the change data of the transmission data includes a change number of the transmission data and a change number of different associated application systems.
7. The method for constructing a data transmission path model according to claim 1, wherein the method for determining the system importance of the application system is as follows:
determining monitoring necessity of different data transmission paths according to data anomaly probabilities and data importance of different data transmission paths of the application system, and dividing the data transmission paths of the application system into important transmission paths and general transmission paths according to the monitoring necessity;
Determining the channel importance of the important transmission channel of the application system based on the monitoring necessity of the important transmission channel of the application system and the number of the important transmission channels, and determining the channel importance of the general transmission channel of the application system based on the monitoring necessity of the general transmission channel of the application system and the number of the general transmission channels;
And determining the system importance of the application system according to the channel importance of the important transmission channel and the channel importance of the general transmission channel.
8. The method for constructing a data transmission path model according to claim 1, wherein determining a screening transmission path based on the system importance and the data transmission path of the screening application system, specifically comprises:
And determining a channel importance threshold of the data transmission channel of the screening application system according to the system importance of the screening application system, and determining the screening transmission channel according to the data transmission channel of the screening application system and the channel importance threshold.
9. A computer system, comprising: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor, when executing the computer program, performs a data transmission path model building method according to any one of claims 1 to 8.
CN202410124615.9A 2024-01-30 2024-01-30 Data transmission path model building method and system Active CN117648213B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410124615.9A CN117648213B (en) 2024-01-30 2024-01-30 Data transmission path model building method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410124615.9A CN117648213B (en) 2024-01-30 2024-01-30 Data transmission path model building method and system

Publications (2)

Publication Number Publication Date
CN117648213A CN117648213A (en) 2024-03-05
CN117648213B true CN117648213B (en) 2024-05-07

Family

ID=90049979

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410124615.9A Active CN117648213B (en) 2024-01-30 2024-01-30 Data transmission path model building method and system

Country Status (1)

Country Link
CN (1) CN117648213B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118433094B (en) * 2024-07-03 2024-09-17 浙江易天云网信息科技有限公司 Backbone communication link optimization processing method based on cloud network integration

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017173893A1 (en) * 2016-04-08 2017-10-12 努比亚技术有限公司 Data transmission device and method, and computer storage medium
CN110191461A (en) * 2019-06-14 2019-08-30 Oppo广东移动通信有限公司 Data transfer control method, device and electronic equipment
CN114817162A (en) * 2022-04-24 2022-07-29 北京金山云网络技术有限公司 Data flow direction analysis method and device and server
WO2022166466A1 (en) * 2021-02-08 2022-08-11 中国核电工程有限公司 Sensor screening method and apparatus and sensor data reconstruction method and system
CN115909734A (en) * 2022-11-14 2023-04-04 南京智慧交通信息股份有限公司 Vehicle driving data screening and updating system and method based on track big data
CN116939897A (en) * 2022-12-16 2023-10-24 中移物联网有限公司 5G power gateway and data transmission method
CN117112371A (en) * 2023-10-25 2023-11-24 杭银消费金融股份有限公司 Observable full-link log tracking method and system
CN117149797A (en) * 2023-10-27 2023-12-01 杭银消费金融股份有限公司 Accounting method and system based on multidimensional data monitoring
CN117376955A (en) * 2023-11-07 2024-01-09 杭州纵横通信股份有限公司 Intelligent monitoring method for indoor network signal quality

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017173893A1 (en) * 2016-04-08 2017-10-12 努比亚技术有限公司 Data transmission device and method, and computer storage medium
CN110191461A (en) * 2019-06-14 2019-08-30 Oppo广东移动通信有限公司 Data transfer control method, device and electronic equipment
WO2022166466A1 (en) * 2021-02-08 2022-08-11 中国核电工程有限公司 Sensor screening method and apparatus and sensor data reconstruction method and system
CN114817162A (en) * 2022-04-24 2022-07-29 北京金山云网络技术有限公司 Data flow direction analysis method and device and server
CN115909734A (en) * 2022-11-14 2023-04-04 南京智慧交通信息股份有限公司 Vehicle driving data screening and updating system and method based on track big data
CN116939897A (en) * 2022-12-16 2023-10-24 中移物联网有限公司 5G power gateway and data transmission method
CN117112371A (en) * 2023-10-25 2023-11-24 杭银消费金融股份有限公司 Observable full-link log tracking method and system
CN117149797A (en) * 2023-10-27 2023-12-01 杭银消费金融股份有限公司 Accounting method and system based on multidimensional data monitoring
CN117376955A (en) * 2023-11-07 2024-01-09 杭州纵横通信股份有限公司 Intelligent monitoring method for indoor network signal quality

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Yunfan Lu等.Research on algorithm of information transmission path planning in big data environment. International Journal of Internet Manufacturing and Services.2021,第7卷(第2期),全文. *
曾坚毅 ; 朱发财 ; .PTN光通信数据传输通道故障的定位技术研究.激光杂志.2018,(第05期),全文. *
王宇 ; 吴炜鑫 ; .互联网用户交流信息数据传输精度监测仿真.计算机仿真.2018,(第03期),全文. *

Also Published As

Publication number Publication date
CN117648213A (en) 2024-03-05

Similar Documents

Publication Publication Date Title
CN117648213B (en) Data transmission path model building method and system
Castanier et al. A condition-based maintenance policy with non-periodic inspections for a two-unit series system
US7065624B1 (en) System and method for determining workload characteristics for one or more applications operating in a data storage environment with ability to control grouping
US8170894B2 (en) Method of identifying innovations possessing business disrupting properties
US20080221944A1 (en) System and Method for Risk Assessment and Presentment
CN117149797B (en) Accounting method and system based on multidimensional data monitoring
US11556445B2 (en) Mechanism for monitoring and alerts of computer systems applications
CN104602227A (en) Network-adaptive mobile application data loading method
US8577776B2 (en) Risk and reward assessment mechanism
CN116611797B (en) Service tracking and monitoring method, system and storage medium
CN117376955B (en) Intelligent monitoring method for indoor network signal quality
US11941559B2 (en) System and method for project governance and risk prediction using execution health index
US10432477B2 (en) Performance monitoring at edge of communication networks using hybrid multi-granular computation with learning feedback
CN117437036B (en) Credit wind control management method and system based on multitasking hoisting tree
CN115315922A (en) Detecting metrics indicative of network operating characteristics and identifying and controlling based on detected anomalies
Rolon et al. Prediction models for BPMN usability and maintainability
CN116743501A (en) Abnormal flow control method and system
CN117591530B (en) Data cross section processing method and system
CN117495102A (en) Construction management method based on three-dimensional simulation
CN116823451B (en) Credit risk control method and system
US11556451B2 (en) Method for analyzing the resource consumption of a computing infrastructure, alert and sizing
CN112116166A (en) Credit risk index prediction method and device
CN117648387B (en) Construction method of logic data section based on data entity
CN117421254B (en) Automatic test method and system for reconciliation business
CN117519670B (en) Method and system for automatically generating RPC (remote procedure control) codes

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant