CN115913980A - Data multi-terminal access control system - Google Patents
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Abstract
The invention discloses a data multi-terminal access control system, which comprises a client access terminal, a terminal control module, a cloud storage database, a client analysis module, a dynamic analysis module, a topology analysis module, an alarm management module and a server module, wherein a client transmits port input data into the system through the client access terminal, the client analysis module analyzes the input process of the client access terminal to obtain a client analysis result, the topology analysis module performs topology analysis on topology data uploaded by different network nodes to obtain a data analysis result, the dynamic analysis module analyzes the global and local data input states by combining the client analysis result and the data analysis result to obtain a dynamic analysis result, and when the state of the network nodes of multi-port input data is abnormal, the alarm management module performs alarm processing, so that the management efficiency of data multi-terminal input is greatly improved, and the stable operation of the network is ensured.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to a data multi-terminal access control system.
Background
The data control is a nerve center of digital operation, plays a great role in production and management, when a plurality of users are accessed into the system by using different ports, network instability can be caused due to randomness of access states of different users, so that certain network safety hidden dangers are brought, in the existing network data safety management, a multi-port control mechanism of a network topology is a common technical implementation mode of a multi-port access system of data, data and distribution technologies of multi-port scanning of the network topology are the basis for realizing system management, equipment management, terminal management and alarm information processing, however, when multi-port data are accessed, global and local topological structures formed by different users change continuously along with the time lapse state, the updating frequency of data of different data access ends is different from the support mode of network nodes, the data access states accessed into the system at the same time point are mutually influenced, so that the management efficiency of the multi-port access of data is changed at will change, in order to ensure the effective stable operation of the network safety management system through the management input to the terminal, and the problem of network instability and the network supervision problem caused by the analysis of the change of the multi-port access states of the users is avoided.
Disclosure of Invention
In view of the above situation, and in order to overcome the defects of the prior art, an object of the present invention is to provide a data multi-port access control system, in which a client analysis module performs cluster analysis on data of a client access port accessed into the system at a certain moment, so as to classify different client access ports, obtain a final client analysis result by analyzing characteristics of the client access ports, and perform dynamic analysis on a network topology structure in combination with the data analysis result, thereby improving management efficiency of data multi-port access and ensuring smooth operation of a network security management system.
The technical scheme includes that the data multi-terminal access control system comprises a client access terminal, a terminal control module, a cloud storage database, a client analysis module, a dynamic analysis module, a topology analysis module, an alarm management module and a server module, wherein a client is in data connection with the system through the client access terminal and transmits port input data to the system through the client access terminal, the terminal control module controls the access processes of a plurality of different client access terminals, the client analysis module analyzes the input processes of the plurality of port input data of the client to obtain a client analysis result, the topology analysis module performs topology analysis on topology data consisting of different port input data to obtain a data analysis result, the dynamic analysis module analyzes the global and local data input states of a network topology structure by combining the client analysis result and the data analysis result to obtain a dynamic analysis result, and when the state of a network node of multi-port input data is abnormal, the alarm management module performs alarm processing;
the system management process specifically comprises the following steps:
1) The client inputs data into the system through a port of the client access end, the terminal control module performs multi-point control on different client access ends through analysis on request information of different client access ends, and the client analysis module performs real-time analysis on client states of data input of a plurality of client access ends according to port input data, and the analysis process is as follows:
step one, recording different client access ends as different network nodes, wherein different client access ends are applicable to different communication conversion protocols, a plurality of network nodes form a network topology structure, and recording initial time when different N clients simultaneously send data access requests as t 0 Recording the time for starting data input after the terminal control module agrees to data access through remote control as t i I = (1,2,3.. N), the ith network node of the N network nodes denoted by i records the time at which data input from a different network node is stopped as t' i I = (1,2,3.. N), and the data transfer amount of input data of different client access terminals is recorded as G i I = (1,2,3.. N), the frequency of data input state changes within an input time period is denoted as f;
step two, in the time period from the time when the client access end sends the access request to the time when the data input is completed, the client analysis module is combined with t i 、t′ i 、G i F, carrying out data access on different client access ends is described to obtain a sample set X = { X = { (X) i ，i＝1，2，3，...N}，X i The client-side analysis module carries out clustering analysis according to N characteristics of input data of different client access terminals to obtain the client access terminals close to the data input process, and finds m clustering centers in the clustering process, the N client access terminals have different dispersion degrees under different input states, and the dispersion degree formula is as follows:
wherein J is the dispersion of the N customer access terminal totalities,
is the k-th cluster center, w k Indicates that the kth cluster center includes a sample, <' > or>
The distance from the vector to the clustering center is adopted, J is the sum of all vectors to the clustering center, and when the dispersion is minimum, the classification of N client access ends is most obvious;
thirdly, the client analysis module analyzes data generated in the process from the time when the client access end sends the request to the time when data input begins to obtain the management error of the port control module on the client access port, extracts the characteristic parameters which change along with time after N client access ends simultaneously send the access requests, obtains the client access end with the access error through the analysis that the change value of the characteristic parameters changes along with the time sequence, and analyzes the X corresponding to the client access end with the access error i Is marked as Y p ，Y p ∈U J ；
Step four, the client analysis module passes throughDetermining a corresponding fitness function J for vectors of client access terminals with errors e The fitness function formula is as follows:
wherein m represents the number of all cluster centers, Y p Is an error sample vector, m, of the client access end in error j Is the clustering center of the error sample vector obtained by mean calculation, C is the number of vectors, N C As a dimension of data, Y px ，m jx Are respectively vector Y p And m j Corresponding elements of different dimensions;
fourthly, the client analysis module obtains a fitness function J through analysis e Then carrying out cluster analysis to obtain a customer analysis result, and sending the customer analysis result to a dynamic analysis module;
2) A client is accessed into the system through a client access terminal comprising a PC terminal, a mobile phone, a printer and a tablet, different client access terminals are marked as different network nodes, a topology analysis module carries out topology analysis management on topology data obtained through different client access ports, different network nodes are accessed into the network system through different network adapters, the topology analysis module carries out management on different network nodes in a unified mode to obtain data analysis results, and the data analysis results are sent to a dynamic analysis module;
3) The dynamic analysis module receives a client analysis result of the client analysis module and a data analysis result of the topology analysis module, and performs global and local stability analysis on all client access ends by combining port input data;
4) And the terminal control module and the server module perform dynamic hierarchical management on different client access ends according to the dynamic analysis result of the dynamic analysis module.
The client analysis module in the third step sends a request to the client access terminal, and the access error is caused by the terminal control module in the time period from the request of the client access terminal to the data input startingAnalyzing the difference, accessing the client access terminal under the control of the terminal control module after the client access terminal sends an access request, and accessing the client access terminal at the accessed t i -t 0 I = (1,2,3.. N) time period, the client analysis module quantizes the continuous time-nonlinear changing port input data of the client access end in the time period, nonlinear variation function g (T) = q (T) and q (T) = [ q = [ (+) ] 1 (T 1 )，q 2 (T 2 )，q 3 (T 3 )，...，q a (T a )] T Wherein T = [ T = 1 ，T 2 ，T 3 ...，T a ] T And obtaining a discrete time sequence by quantizing the continuous change process in the time period, and analyzing a matrix formed by the characteristic vectors of different client access ends corresponding to the time sequence to obtain an access error brought by access.
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages;
1. the client analysis module analyzes the process of simultaneously accessing a plurality of client access terminals into the system at a certain moment, firstly, the client analysis module extracts the time, data transmission quantity and frequency characteristics of different client access terminals simultaneously accessed into the system, obtains a sample set comprising N N-dimensional vectors by describing the quantity, then performs clustering analysis on the simultaneously accessed client access terminals according to a clustering analysis method to obtain clustering centers with similar input characteristics, obtains access errors by analyzing a discrete time sequence in the access process, obtains client analysis results according to the clustering of the access errors, then obtains client analysis results by clustering the client access terminals classified into one class in the process, needs similar access hardware and software support, can mutually influence each other when being accessed simultaneously, obtains client analysis results by local analysis, and performs overall analysis on the real-time state of the whole network structure by combining the client analysis results and the data analysis results by the dynamic analysis module, thereby greatly improving the management efficiency of data multi-terminal input and ensuring the stable operation of the network.
2. The dynamic analysis module in the system analyzes the state changing along with time when the data is input from multiple ends by combining the client analysis result and the data analysis result to obtain the dynamic analysis result, then the terminal control module and the server module perform hierarchical control on all the client access ends, data transmission parameters are obtained by performing overall analysis on all the client access ends, then overall remote control is performed on different client access ends according to the data transmission parameters, and different modules manage the overall data multiple-end input from the overall client access end by analyzing port input data and the access process, so that unstable factors of network operation are avoided in time in the data multiple-end input process, and the server can grasp different states in time.
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FIG. 1 is an overall block diagram of the system;
FIG. 2 is a flow chart of the overall analysis of the system;
fig. 3 is an analysis flow chart of the client analysis module.
Detailed Description
The foregoing and other technical matters, features and effects of the present invention will be apparent from the following detailed description of the embodiments, which proceeds with reference to the accompanying drawings, FIGS. 1 to 3. The structural contents mentioned in the following embodiments are all referred to the attached drawings of the specification.
In the safe operation of the network, the accessed network equipment is diversified day by day, the diversity and the heterogeneous type of the network equipment increase the difficulty for the unified management, the overall stability of the network safety is influenced by the identification and the operation state of the terminal, different users upload data to the system through different terminals, the personal habits of different users in the data uploading process are different, and the processing modes are different when abnormal authorized interfaces are encountered in the network browsing process, in particular, when a plurality of users are simultaneously accessed into the system, the pressure for network safety supervision is brought, the real-time states at different moments cannot be accurately and timely obtained, in the prior art, the data starts heartbeat detection under the control of a multipoint control system, updates the information of a database front-end processor, waits for the connection of client ends, the invention also provides a data multi-terminal access control system which returns the optimal front-end processor and the conversation number of the client by judging the connection type and calculating the optimal front-end processor, the multi-point access control module realizes the multi-point management of data input by utilizing remote control software, a system interface management module, a protocol conversion module and a server module, and monitors the network safety by analyzing the multi-access network topology data, thereby ensuring the operation reliability and the safety zone of the network, but when the different input ends are managed in a unified way, the states of the different data input ends are dynamically changed, and when the plurality of data input ends are accessed into the system at the same time, the states of the data access of a plurality of users at the same time are related to the states of each user, the types of the access terminals are different, and the control difficulty of the access domain of the network boundary is increased, the system comprises a client access end, a terminal control module, a cloud storage database, a client analysis module, a dynamic analysis module, a topology analysis module, an alarm management module and a server module, wherein a client is in data connection with the system through the client access end and transmits port input data into the system through the client access end, the terminal control module controls the access processes of a plurality of different client access ends, the client analysis module analyzes the input processes of a plurality of port input data of the client to obtain a client analysis result, the topology analysis module performs topology analysis on topology data consisting of different port input data to obtain a data analysis result, the dynamic analysis module analyzes the global and local data input states of a network topology structure by combining the client analysis result and the data analysis result to obtain a dynamic analysis result, when the state of a network node of multi-port input data is abnormal, the alarm management module performs alarm, in the data application management process, the overall architecture of different service systems is established through engineering software, and different access relations are analyzed and calculated;
the system management process specifically comprises the following steps:
1) Respectively storing data generated in different access processes of a client to obtain stored data, recording client access ends of different clients as a data input interface, inputting data into a system by the client through a port of the client access end, carrying out multi-point control on different client access ends by a terminal control module through analysis of request information of different client access ends, and carrying out real-time analysis on client states of data input of a plurality of client access ends by a client analysis module according to port input data, wherein the analysis process is as follows:
step one, a client analysis module analyzes the state of a client access end, the access state of the client access end is related to the access habit of a client and the overall management of the whole data multi-end access, transmission data are obtained after the client access end is accessed into a system, different client access ends are marked as different network nodes, different client access ends are suitable for different communication conversion protocols, a plurality of network nodes form a network topology structure, and the initial time when different N clients simultaneously send data access requests is marked as t 0 Recording the time for starting data input after the terminal control module agrees to data access through remote control as r i I = (1,2,3.. N), the ith network node of the N network nodes denoted by i records the time at which data input from a different network node is stopped as t' i I = (1,2,3.. N), and the data transfer amount of input data of different client access terminals is recorded as G i I = (1,2,3.. N), the frequency of data input state changes within an input time period is denoted as f;
step two, after the customer access terminal initiates an access request, a monitoring mechanism is started, when a plurality of customer access terminals are simultaneously accessed into the system, the state changes along with time, and the customer end analysis module is combined with t within the time period from the time when the customer access terminals send the access request to the time when the data input is completed i 、t′ i 、G i F, describing the characteristics of data access of different client access ends to obtain a sample set X = { X = { (X) i ，i＝1，2，3，...N}，X i The client analysis module carries out cluster analysis according to N characteristics of data input by different client access terminals to obtain the client access terminals with the similar data input process, and the client access terminals are clusteredM clustering centers are found in the process, the dispersion of N client access ends under different input states is different, and the dispersion formula is as follows:
wherein J is the dispersion of the N customer access terminal totalities,
is the k-th cluster center, w k Indicates that the kth cluster center includes a sample, <' > or>
The distance from the vector to the clustering center is adopted, J is the sum of all vectors to the clustering center, when the dispersion is minimum, the classification of N client access ends is most obvious, and the client access end sending the access request is subjected to clustering analysis to obtain a class of client access ends with similar access paths and access requests;
step three, in the client access terminals of different clustering centers, the client access terminals with access errors are found through different access processes and the Xenin analysis, the client analysis module utilizes the data generated in the process that the client access terminals send requests to start data input to analyze the data to obtain the management errors of the port control module on the client access ports, the characteristic parameters which change along with time after N client access terminals send access requests simultaneously are extracted, the client access terminals with access errors are obtained through the analysis that the change values of the characteristic parameters change along with time sequences, and the X corresponding to the client access terminals with access errors are used i Is marked as Y p ，Y p ∈U J ；
Fourthly, the client analysis module determines a corresponding fitness function J through the vector of the client access end with errors e The fitness function formula is as follows:
wherein m represents the number of all cluster centers, Y p Is an error sample vector, m, of the client access terminal in error j For the clustering center of the error sample vector obtained by mean calculation, C is the number of vectors, N C As a dimension of data, Y px ，m jx Are respectively vector Y p And m j Corresponding elements of different dimensions;
fourthly, the client analysis module obtains a fitness function J through analysis e Then, carrying out clustering analysis to obtain a customer analysis result, and sending the customer analysis result to the dynamic analysis module;
2) A client is accessed into the system through a client access terminal comprising a PC terminal, a mobile phone, a printer and a tablet, different client access terminals are marked as different network nodes, a topology analysis module carries out topology analysis management on topology data obtained through different client access ports, different network nodes are accessed into the network system through different network adapters, the topology analysis module carries out management on different network nodes in a unified mode to obtain data analysis results, and the data analysis results are sent to a dynamic analysis module;
3) The dynamic analysis module receives a client analysis result of the client analysis module and a data analysis result of the topology analysis module, and performs global and local stability analysis on all client access ends by combining port input data;
4) And the terminal control module and the server module perform dynamic hierarchical management on different client access ends according to the dynamic analysis result of the dynamic analysis module.
The client analysis module in the third step analyzes the access error brought by the terminal control module in the time period from the time when the client access end sends the request to the time when the data input begins, the client access end is accessed through the control of the terminal control module after the client access end sends the access request, and the client access end is accessed at the accessed t i -t 0 I = (1,2,3.. N) time-slot, the client-side analysis module varies continuously in time-slot non-linearlyQuantized port input data of the client access terminal, non-linear change function g (T) = q (T) and q (T) = [ q = [ ] 1 (T 1 )，q 2 (T 2 )，q 3 (T 3 )，...，q a (T a )] T Wherein T = [ T = 1 ，T 2 ，T 3 ...，T a ] T And obtaining a discrete time sequence by quantizing the continuous change process in the time period, and analyzing a matrix formed by the characteristic vectors of different client access ends corresponding to the time sequence to obtain an access error brought by access.
The dynamic analysis module dynamically analyzes the influence of the states of different client access terminals on the stable state of the whole network at different moments according to the received client analysis result and the data analysis result to obtain a dynamic analysis result, the dynamic analysis module analyzes the network boundary access domain during dynamic analysis when the client access terminals are accessed, when N client access terminals are accessed simultaneously, the same request sending time is provided, the states of different client access terminals change during the access process, and the dynamic analysis module analyzes the local and global states under different moment changes by combining the data analysis result,
and when the data after the access requests are sent by different client access terminals has sudden change and delay, the dynamic analysis module analyzes the whole and local input states of all the multi-terminal input network points by using time analysis and combines the time dynamic analysis with the network topology analysis of the data.
The terminal control module and the server module perform control level analysis on the access of different client access ends based on the analysis of virtual unit multipoint control of network engineering, perform set management step by step on the collected data, combine the collected data with the dynamic analysis result of the dynamic analysis module, perform unified analysis on the data calculation analysis process and the virtual unit multipoint transmission, and the data access transmission formula is as follows:
wherein Q is a data transmission parameter, A is operating channel environment data, P is network structure space data, S is a virtual unit multipoint data storage parameter, D is a data training sample parameter, N is the number of client access terminals participating in data transmission, and the terminal control module guarantees the controllable range of control through the analysis of the number of the client access terminals
Wherein, δ is control parameter range data, θ is a control area basic parameter, μ is a distribution data position parameter, σ is a control content parameter, and τ is system control space data information, and fluctuation in a regulation and control range is ensured by an analysis process of multipoint control in a network system.
The topology analysis module carries out topology structure analysis according to topology data collected by different client access terminals, extracts a control method of network nodes, processes corresponding data, maps different topology databases to solve the problem of data calling, the alarm management module sends alarm information to the client access terminal which generates data abnormal input after receiving control instructions of the server and the terminal control module, and the type of the cloud storage database corresponds to different network nodes.
When the invention is used, the system mainly comprises a client access end, a terminal control module, a cloud storage database, a client analysis module, a dynamic analysis module, a topology analysis module, an alarm management module and a server module, wherein a client is in data connection with the system through the client access end and transmits port input data into the system through the client access end, the terminal control module controls the access processes of a plurality of different client access ends, the client analysis module analyzes the input processes of the plurality of port input data of the client to obtain a client analysis result, firstly, the client analysis module extracts the time, data transmission quantity and frequency characteristics of different client access ends simultaneously accessed into the system to access the system, and obtains a sample set comprising N N-dimensional vectors through quantity description, then according to the cluster analysis method to make cluster analysis to the simultaneously accessed customer access ports to obtain cluster centers with similar input characteristics, and make analysis of discrete time sequence in the access process to obtain access error, then according to the access error making cluster to obtain customer analysis result, in the clustering process the customer access ends divided into one kind need identical access hardware and software support, and make topology analysis to the topology data formed from different port input data by topology analysis module to obtain data analysis result, when the customer access ends are simultaneously accessed into the system, they can mutually affect each other, and can obtain customer analysis result by local analysis, then make global analysis to the real-time state of whole network structure by using dynamic analysis module and customer analysis result to obtain dynamic analysis result, then make hierarchical control to all customer access ends by using terminal control module and server module, the data transmission parameters are obtained through integral analysis of all the client access terminals, integral remote control is carried out on different client access terminals according to the data transmission parameters, different modules manage integral multi-terminal input of the client access terminals through analysis of port input data and access processes, unstable factors which avoid network operation in the multi-terminal input process of data are timely avoided, a server timely grasps different states when the states of network nodes of the multi-terminal input data are abnormal, alarm processing is carried out through an alarm management module, the management efficiency of the multi-terminal input of the data is greatly improved, and stable operation of a network is guaranteed.
While the invention has been described in further detail with reference to specific embodiments thereof, it is not intended that the invention be limited to the specific embodiments thereof; for those skilled in the art to which the present invention pertains and related technologies, the extension, operation method and data replacement should fall within the protection scope of the present invention based on the technical solution of the present invention.
Claims (5)
1. A data multi-terminal access control system is characterized by comprising a client access terminal, a terminal control module, a cloud storage database, a client analysis module, a dynamic analysis module, a topology analysis module, an alarm management module and a server module, wherein a client is in data connection with the system through the client access terminal and transmits port input data to the system through the client access terminal, the terminal control module controls the access processes of a plurality of different client access terminals, the client analysis module analyzes the input processes of a plurality of port input data of the client to obtain a client analysis result, the topology analysis module performs topology analysis on topology data consisting of different port input data to obtain a data analysis result, the dynamic analysis module analyzes the global and local data input states of a network topology structure by combining the client analysis result and the data analysis result to obtain a dynamic analysis result, and when the state of a network node of multi-port input data is abnormal, the alarm management module performs alarm processing;
the system management process specifically comprises the following steps:
1) The client carries out data input into the system through a port of the client access end, the terminal control module carries out multi-point control on different client access ends through analysis on request information of different client access ends, and the client analysis module carries out real-time analysis on client states of data input of a plurality of client access ends according to port input data, and the analysis process is as follows:
step one, recording different client access ends as different network nodes, wherein different client access ends are applicable to different communication conversion protocols, a plurality of network nodes form a network topology structure, and recording initial time when different N clients simultaneously send data access requests as t 0 Recording the time for starting data input after the terminal control module agrees to data access through remote control as t i I = (1,2,3.. N), the ith network node of the N network nodes denoted by i, and the time at which data input is stopped at a different network node is denoted as t' i I = (1,2,3.. N), and the data transfer amount of input data of different client access terminals is recorded as G i I = (1,2,3.. N), inThe frequency of changing the data input state in the input time period is recorded as f;
step two, in the time period from the time when the client access end sends the access request to the time when the data input is completed, the client analysis module is combined with t i 、t′ i 、G i F, describing the characteristics of data access of different client access ends to obtain a sample set X = { X = { (X) i ，i＝1，2，3，...N}，X i The client-side analysis module carries out clustering analysis according to N characteristics of input data of different client access terminals to obtain the client access terminals close to the data input process, and finds m clustering centers in the clustering process, the N client access terminals have different dispersion degrees under different input states, and the dispersion degree formula is as follows:
wherein J is the dispersion of the N customer access terminal totalities,
is the k-th cluster center, w k Indicates that the kth cluster center includes a sample, <' > or>
The distance from the vector to the clustering center is adopted, J is the sum of all vectors to the clustering center, and when the dispersion is minimum, the classification of N client access ends is most obvious;
thirdly, the client analysis module analyzes data generated in the process from the time when the client access end sends the request to the time when data input begins to obtain the management error of the port control module on the client access port, extracts the characteristic parameters which change along with time after N client access ends simultaneously send the access requests, obtains the client access end with the access error through the analysis that the change value of the characteristic parameters changes along with the time sequence, and analyzes the X corresponding to the client access end with the access error i Is marked as Y p ，Y p ∈U J ；
Fourthly, the client analysis module determines a corresponding fitness function J through the vector of the client access end with errors e The fitness function formula is as follows:
wherein m represents the number of all cluster centers, Y p Is an error sample vector, m, of the client access terminal in error j For the clustering center of the error sample vector obtained by mean calculation, C is the number of vectors, N C As a dimension of data, Y px ，m jx Are respectively vector Y p And m j Corresponding elements of different dimensions;
fourthly, the client analysis module obtains a fitness function J through analysis e Then, carrying out clustering analysis to obtain a customer analysis result, and sending the customer analysis result to the dynamic analysis module;
2) The client is accessed into the system through a client access end comprising a PC end, a mobile phone, a printer and a tablet, different client access ends are marked as different network nodes, a topology analysis module carries out topology analysis management on topology data obtained through different client access ports, different network nodes are accessed into the network system through different network adapters, the topology analysis module carries out management in a unified mode among different network nodes to obtain data analysis results, and the data analysis results are sent to a dynamic analysis module;
3) The dynamic analysis module receives a client analysis result of the client analysis module and a data analysis result of the topology analysis module, and performs global and local stability analysis on all client access ends by combining port input data;
4) And the terminal control module and the server module perform dynamic hierarchical management on different client access ends according to the dynamic analysis result of the dynamic analysis module.
2. The system according to claim 1, wherein the client analysis module in step three analyzes an access error caused by the terminal control module from a time when the client access terminal makes a request to a time when data input starts, and after the client access terminal makes an access request, the client access terminal is controlled by the terminal control module to access the client access terminal, and the client access terminal is controlled by the terminal control module to access the client access terminal at the accessed time t i -t 0 I = (1,2,3.. N) time period, the client analysis module quantizes the continuous time-nonlinear changing port input data of the client access end in the time period, nonlinear variation function g (T) = q (T) and q (T) = [ q = [ (+) ] 1 (T 1 )，q 2 (T 2 )，q 3 (T 3 )，...，q a (T a )] T Wherein T = [ T = 1 ，T 2 ，T 3 ...，T a ] T And obtaining a discrete time sequence by quantizing the continuous change process in the time period, and analyzing a matrix formed by the characteristic vectors of different client access ends corresponding to the time sequence to obtain an access error brought by access.
3. The system according to claim 1, wherein the dynamic analysis module performs dynamic analysis to dynamically analyze the effect of the states of different client access terminals on the stable state of the entire network at different times according to the received client analysis result and data analysis result to obtain a dynamic analysis result, and the dynamic analysis module analyzes the local and global states at different times according to the data analysis result.
4. The system of claim 1, wherein the terminal control module and the server module perform control level analysis for access of different client access terminals based on analysis of virtual unit multipoint control of network engineering, perform collection-based progressive management on collected data, combine with dynamic analysis results of the dynamic analysis module, perform unified analysis on data calculation and analysis processes and virtual unit multipoint transmission, and the data access transmission formula is:
q is a data transmission parameter, A is operating channel environment data, P is network structure space data, S is a virtual unit multipoint data storage parameter, D is a data training sample parameter, and N is the number of client access terminals participating in data transmission.
5. The system according to claim 1, wherein the topology analysis module performs topology analysis according to topology data collected by different client access terminals, extracts a control method of a network node, processes corresponding data, maps different topology databases to solve a data calling problem, the alarm management module sends alarm information to a client access terminal generating data abnormal input after receiving control instructions of the server and the terminal control module, and the type of the cloud storage database corresponds to different network nodes.
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