CN115913980B - Data multi-terminal access control system - Google Patents
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Abstract
The invention discloses a data multi-port 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 to 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 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 node of the multi-port input data is abnormal, the alarm management module performs alarm processing, so that the management efficiency of the data multi-port input is greatly improved, and the stable operation of a 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 access the system by using different ports, the random access states of the different users can cause unstable network, so that certain network safety hidden danger is brought, in the safety management of the existing network data, the multi-port control mechanism of the network topology is a common technical implementation mode of the multi-port access system of the data, the data and distribution technology of the multi-port scanning of the network topology is the basis for realizing system management, equipment management, terminal management and alarm information processing, but when the multi-port data are accessed, the global and local topological structures formed by different users are changed continuously along with the time, and the update frequency of the data of the different data access ends and the supporting mode of network nodes are different, so that the management efficiency of the multi-port access is changed at the same time point, the effective stable operation of the multi-port access system is realized through the management of the terminal input, and the network safety hidden danger are not regulated and eliminated through the analysis of the network safety hidden danger caused by the random access state of the user.
Disclosure of Invention
Aiming at the situation, in order to overcome the defects of the prior art, the invention aims to provide a data multi-terminal access control system, which performs cluster analysis on data of client access terminals accessed to the system at a certain moment through a client analysis module, so as to classify different client access terminals, obtain a final client analysis result through analysis on characteristics of the client access terminals, and dynamically analyze a network topology structure by combining the final client analysis result with the data analysis result, thereby improving management efficiency of the data multi-terminal access and ensuring stable 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 access processes of a plurality of different client access terminals, the client analysis module analyzes input processes of a plurality of port input data of the client to obtain client analysis results, the topology analysis module performs topology analysis on topology data formed by different port input data to obtain data analysis results, the dynamic analysis module performs analysis on global and local data input states of a network topology structure by combining the client analysis results and the data analysis results to obtain dynamic analysis results, and the alarm management module performs alarm processing when the states of network nodes of the multi-port input data are abnormal;
the system management process is specifically as follows:
1) The client inputs data into the system through the ports of the client access terminals, the terminal control module performs multi-point control on different client access terminals through analysis of request information of different client access terminals, and the client analysis module performs real-time analysis on the client states of the data input to the client access terminals according to the port input data, wherein the analysis process is as follows:
step one, different client access terminals are marked as different network nodes, the different client access terminals are applicable to different communication conversion protocols, a plurality of network nodes form a network topology structure, and the initial time when different N clients send data access requests simultaneously is marked as t 0 The time for starting data input after the terminal control module agrees with data access through remote control is recorded as t i I= (1, 2, 3) n., i denotes an i-th network node of the N network nodes, the time of stopping data input of different network nodes is recorded as t' i I= (1, 2, 3) n., the data transmission quantity of the input data of different client access terminals is recorded as G i I= (1, 2, 3) n., the frequency of the data input state change in the input period is denoted as f;
step two, in the period from the client access terminal sending the access request to the completion of data input, the client analysis module combines t i 、t′ i 、G i Describing the characteristics of data access of different client access terminals to obtain a sample set X= { X i ，i＝1，2，3，...N}，X i N is the number of client access terminals for N-dimensional vectors, the client analysis module performs cluster analysis according to N characteristics of data input by different client access terminals to obtain client access terminals with a data input process approaching, m clustering centers are found in the clustering process, the dispersion of the N client access terminals in different input states is different, and a dispersion formula is as follows:
wherein J is the overall dispersion of N client access terminals,for the kth cluster center, w k Representing samples included in the kth cluster center, +.>The distance from the vector to the clustering center is J, 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;
analyzing data generated in the process from a client access terminal sending request to the beginning of inputting data by using a client analysis module to obtain a management error of a port control module on a client access port, extracting characteristic parameters which change along with time after N client access terminals send access requests simultaneously, obtaining a client access terminal with access error through analysis of the change value of the characteristic parameters along with time sequence, wherein the client access terminal with access error corresponds to X of the client access terminal with access error i Denoted as Y p ，Y p ∈U J ；
Step four, the client analysis module determines a corresponding fitness function J through the vector of the client access terminal with errors e The fitness function formula is:
wherein m represents the number of all cluster centers, Y p Is the error sample vector of the client access terminal with error, m j For the clustering center of error sample vectors obtained through mean value calculation, C is the number of vectors and N C Data dimension, Y px ，m jx Respectively is vector Y p And m j Corresponding elements of different dimensions;
step four, the client analysis module obtains an adaptability function J through analysis e Then carrying out polymerizationClass analysis obtains a customer analysis result and sends the customer analysis result to a dynamic analysis module;
2) The method comprises the steps that a client accesses a system through a client access terminal comprising a PC terminal, a mobile phone, a printer and a tablet, different client access terminals are recorded 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 access the network system through different network adapters, the topology analysis module carries out unified management on different network nodes to obtain a data analysis result, and the data analysis result is sent to a dynamic analysis module;
3) The dynamic analysis module receives the client analysis result of the client analysis module and the data analysis result of the topology analysis module, and performs global and local stable analysis on all client access terminals by combining port input data;
4) And the terminal control module and the server module dynamically manage different client access terminals in a grading manner 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 request of the client access terminal to the start of inputting data, and after the client access terminal sends the access request, the client access terminal is accessed under the control of the terminal control module, and at the time of the access, the client access terminal is accessed i -t 0 In the i= (1, 2, 3..n) time-end, the client analysis module quantizes the port input data of the client access end which continuously and non-linearly changes with time in the time-period, the 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 Discrete time sequences are obtained through quantification of continuous change processes in time periods, and a matrix formed by feature vectors of different client access terminals corresponding to the time sequences is analyzed to obtain access errors caused 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 the system by a plurality of client access terminals at a certain moment, firstly, the client analysis module extracts the time, data transmission quantity and frequency characteristics of different client access terminals which are simultaneously accessed into the system, obtains a sample set comprising N N-dimensional vectors through digital description, obtains a clustering center with similar input characteristics through clustering analysis of the client access ports which are simultaneously accessed according to a clustering analysis method, obtains access errors through analysis of discrete time sequences in the access process, obtains client analysis results through clustering according to the access errors, and then obtains client analysis results through the support of similar access hardware and software for the client access terminals which are classified into one type in the clustering process.
2. The dynamic analysis module in the system analyzes the state of the data multi-terminal input along with time 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 carry out hierarchical control on all the client access terminals, the data transmission parameters are obtained by carrying out integral analysis on all the client access terminals, then the integral remote control is carried out on different client access terminals according to the data transmission parameters, and the integral client access terminals manage the integral data multi-terminal input through the analysis on the port input data and the access process by different modules, so that unstable factors of network operation are timely avoided in the data multi-terminal input process, and the server can timely grasp different states.
Drawings
FIG. 1 is an overall block diagram of the present system;
FIG. 2 is a flow chart of the overall analysis of the present system;
FIG. 3 is an analysis flow chart of the client analysis module.
Detailed Description
The foregoing and other features, aspects and advantages of the present invention will become more apparent from the following detailed description of the embodiments with reference to the accompanying drawings, 1-3. The following embodiments are described in detail with reference to the drawings.
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 unified management, the equipment and the operation state of the terminal can influence the overall stability of the network safety, different users upload data into the system through different terminals, the personal habits of different users in the process of uploading the data are different, the processing mode is also different when abnormal authorized interfaces are encountered in the process of network browsing, particularly, when a plurality of users are accessed into the system at the same time, a little stress is brought to the network safety supervision, the real-time state of different moments can not be accurately and timely obtained, in the prior art, the data starts to start heartbeat detection under the control of a multi-point control system, the information of a database front-end processor is updated, and then the client is waited for connection, the invention provides a data multi-terminal access control system, which is characterized in that a multi-point access control module utilizes remote control software, a system interface management module, a protocol conversion module and a server module to realize multi-point management of data input and realize monitoring of network safety through analysis of multi-access network topology data, thereby guaranteeing reliability and zoning of network operation, but when different input ends are uniformly managed, states of different data input ends are dynamically changed, and when a plurality of data input ends are simultaneously accessed into a system, the states of a plurality of users are related to the states of each user, the types of access terminals are also different, which causes the increase of control difficulty of access domains of network boundaries, the 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 a system through the client access terminal, port input data are transmitted to the system through the client access terminal, the terminal control module controls 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 client analysis results, the topology analysis module performs topology analysis on topology data formed by different port input data to obtain data analysis results, the dynamic analysis module analyzes global and local data input states of a network topology structure to obtain dynamic analysis results by combining the client analysis results and the data analysis results, when the states of network nodes of the multi-port input data are abnormal, the alarm management module performs alarm positions, and in the process of data application management, the whole architecture of different service systems is established through software engineering, and analysis and calculation is performed on different access relations;
the system management process is specifically as follows:
1) The method comprises the steps that data generated in different access processes of clients are respectively stored to obtain stored data, client access ends of different clients are recorded as a data input interface, the clients input data into a system through ports of the client access ends, a terminal control module performs multipoint control on the different client access ends through analysis of request information of the different client access ends, and a 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, wherein the analysis process is as follows:
analyzing the state of a client access terminal by a client analysis module, wherein the access state of the client access terminal is related to the access habit of the client and the overall management of the whole data multi-terminal access, obtaining transmission data after the client access terminal is accessed into a system, marking different client access terminals as different network nodes, applying different communication conversion protocols to different client access terminals, forming a network topological structure by a plurality of network nodes, and enabling N different clients to be identicalThe initial time when the data access request is sent is recorded as t 0 The time for starting data input after the terminal control module agrees with data access through remote control is recorded as r i I= (1, 2, 3) n., i denotes an i-th network node of the N network nodes, the time of stopping data input of different network nodes is recorded as t' i I= (1, 2, 3) n., the data transmission quantity of the input data of different client access terminals is recorded as G i I= (1, 2, 3) n., the frequency of the data input state change in the input period is denoted as f;
step two, after the client access terminal initiates the access request, a monitoring mechanism is started, when a plurality of client access terminals are simultaneously accessed into the system, the state changes along with time, and in the time period from the client access terminal sending the access request to the completion of data input, the client analysis module combines t i 、t′ i 、G i Describing the characteristics of data access of different client access terminals to obtain a sample set X= { X i ，i＝1，2，3，...N}，X i N is the number of client access terminals for N-dimensional vectors, the client analysis module performs cluster analysis according to N characteristics of data input by different client access terminals to obtain client access terminals with a data input process approaching, m clustering centers are found in the clustering process, the dispersion of the N client access terminals in different input states is different, and a dispersion formula is as follows:
wherein J is the overall dispersion of N client access terminals,for the kth cluster center, w k Representing samples included in the kth cluster center, +.>For the distance of the vector to the cluster center, J is the sum of all vectors to the cluster centerAnd when the dispersion is minimum, the classification of the N client access terminals is most obvious, and the client access terminals sending the access requests are subjected to cluster analysis to obtain a class of client access terminals with similar access paths and access requests;
step three, in the customer access terminals of different clustering centers, the customer access terminals with access errors are found out by analyzing different access processes and Xinin, the customer analysis module analyzes the data generated in the process from the customer access terminal sending request to the beginning of inputting data to obtain the management error of the port control module to the customer access ports, extracts the characteristic parameters which change with time after N customer access terminals send access requests simultaneously, obtains the customer access terminal with access errors through the analysis of the change value of the characteristic parameters which change with time sequence, and the X corresponding to the customer access terminal with access errors is obtained i Denoted as Y p ，Y p ∈U J ；
Step four, the client analysis module determines a corresponding fitness function J through the vector of the client access terminal with errors e The fitness function formula is:
wherein m represents the number of all cluster centers, Y p Is the error sample vector of the client access terminal with error, m j For the clustering center of error sample vectors obtained through mean value calculation, C is the number of vectors and N C Data dimension, Y px ，m jx Respectively is vector Y p And m j Corresponding elements of different dimensions;
step four, the client analysis module obtains an adaptability function J through analysis e Then carrying out cluster analysis to obtain a client analysis result, and sending the client analysis result to a dynamic analysis module;
2) The method comprises the steps that a client accesses a system through a client access terminal comprising a PC terminal, a mobile phone, a printer and a tablet, different client access terminals are recorded 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 access the network system through different network adapters, the topology analysis module carries out unified management on different network nodes to obtain a data analysis result, and the data analysis result is sent to a dynamic analysis module;
3) The dynamic analysis module receives the client analysis result of the client analysis module and the data analysis result of the topology analysis module, and performs global and local stable analysis on all client access terminals by combining port input data;
4) And the terminal control module and the server module dynamically manage different client access terminals in a grading manner 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 request of the client access terminal to the start of inputting data, and after the client access terminal sends the access request, the client access terminal is accessed under the control of the terminal control module, and at the time of the access, the client access terminal is accessed i -t 0 In the i= (1, 2, 3..n) time-end, the client analysis module quantizes the port input data of the client access end which continuously and non-linearly changes with time in the time-period, the 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 Discrete time sequences are obtained through quantification of continuous change processes in time periods, and a matrix formed by feature vectors of different client access terminals corresponding to the time sequences is analyzed to obtain access errors caused by access.
The dynamic analysis module dynamically analyzes the influence of the states of different client access terminals at different moments on the stable state of the whole network according to the received client analysis results and data analysis results to obtain dynamic analysis results, the dynamic analysis module analyzes network boundary access domains during dynamic analysis when the client access terminals are accessed, N client access terminals have the same request sending time when being accessed simultaneously, the states of different client access terminals are changed during the accessing process, the dynamic analysis module simultaneously analyzes local and global states under different moment changes by combining the data analysis results,
and when the data after the different client access terminals send the access requests has mutation and delay, the dynamic analysis module utilizes time analysis to carry out overall and local input state analysis on the time of all the multi-terminal input network points, 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 access of different client access terminals based on analysis of virtual unit multipoint control of network engineering, collect collected data to perform progressive management, combine the collected data with a dynamic analysis result of the dynamic analysis module, perform unified analysis on a data calculation analysis process and virtual unit multipoint transmission, and the data access transmission formula is as follows:
wherein Q is data transmission parameter, A is operation channel environment data, P is network structure space data, S is virtual unit multi-point data storage parameter, D is data training sample parameter, N is number of client access terminals participating in data transmission, and the terminal control module ensures the controllable range of control by analyzing the number of the client access terminals
Wherein delta is control parameter range data, theta is control area basic parameter, mu is distribution data position parameter, sigma is control content parameter, tau is system control space data information, and fluctuation in a regulation and control range is ensured through an analysis process of multipoint control in a network system.
The topology analysis module analyzes the topology structure according to the topology data collected by different client access terminals, extracts the control method of the network node, processes the corresponding data, maps different topology databases to solve the problem of calling the data, and sends out alarm information to the client access terminals generating abnormal data input after receiving the control instructions of the server and the terminal control module, wherein the types of the cloud storage databases correspond to different network nodes.
When the system is specifically used, the system mainly 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, the terminal control module controls access processes of a plurality of different client access terminals, the client analysis module analyzes the input processes of the plurality of client access terminals to obtain client analysis results, firstly, the client analysis module extracts time, data transmission quantity and frequency characteristics of different client access systems which are simultaneously accessed to the system, obtains a sample set comprising N N-dimensional vectors through data description, clusters analysis is carried out on the client access terminals which are simultaneously accessed according to a clustering analysis method to obtain a clustering center with similar input characteristics, access errors are obtained through analysis of discrete time sequences in the access processes, the clustering process is carried out according to the access errors to obtain client analysis results, the client analysis results which are divided into one type of client access terminals need to be supported by the same access hardware and software, the client analysis module carries out the same topology analysis results when the client access terminals are different in the clustering process, the client analysis modules are subjected to control the data input to the data through the client analysis module, the dynamic analysis results are combined with the client analysis module when the overall analysis results are subjected to the dynamic analysis results, the overall analysis results are obtained through the control of the client analysis module, the dynamic analysis results are combined with the client analysis module, the overall analysis results are obtained through the data analysis results which are mutually, and the local analysis results are similar through the control module, the data transmission parameters are obtained through integral analysis of all client access terminals, integral remote control is carried out on different client access terminals according to the data transmission parameters, and the integral client access terminals manage integral data multi-terminal input through analysis of port input data and access processes by different modules, so that unstable factors of network operation are timely avoided in the data multi-terminal input process, different states are timely mastered by a server, when the states of network nodes of the multi-terminal input data are abnormal, alarm processing is carried out by an alarm management module, management efficiency of the data multi-terminal input is greatly improved, and stable operation of a network is guaranteed.
While the invention has been described in connection with certain embodiments, it is not intended that the invention be limited thereto; for those skilled in the art to which the present invention pertains and the related art, on the premise of based on the technical scheme of the present invention, the expansion, the operation method and the data replacement should all fall within the protection scope of the present invention.
Claims (5)
1. The data multi-port 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 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 client analysis results, the topology analysis module performs topology analysis on topology data formed by different port input data to obtain data analysis results, the dynamic analysis module performs analysis on global and local data input states of a network topology structure by combining the client analysis results and the data analysis results to obtain dynamic analysis results, and the alarm management module performs alarm processing when the states of network nodes of the multi-port input data are abnormal;
the system management process is specifically as follows:
1) The client inputs data into the system through the ports of the client access terminals, the terminal control module performs multi-point control on different client access terminals through analysis of request information of different client access terminals, and the client analysis module performs real-time analysis on the client states of the data input to the client access terminals according to the port input data, wherein the analysis process is as follows:
step one, different client access terminals are marked as different network nodes, the different client access terminals are applicable to different communication conversion protocols, a plurality of network nodes form a network topology structure, and the initial time when different N clients send data access requests simultaneously is marked as t 0 The time for starting data input after the terminal control module agrees with data access through remote control is recorded as t i I= (1, 2, 3) n., i denotes an i-th network node of the N network nodes, the time of stopping data input of different network nodes is recorded as t' i I= (1, 2, 3) n., the data transmission quantity of the input data of different client access terminals is recorded as G i I= (1, 2, 3) n., the frequency of the data input state change in the input period is denoted as f;
step two, in the period from the client access terminal sending the access request to the completion of data input, the client analysis module combines t i 、t′ i 、G i Describing the characteristics of data access of different client access terminals to obtain a sample set X= { X i ，i＝1，2，3，...N}，X i N is the number of client access terminals for N-dimensional vectors, the client analysis module performs cluster analysis according to N characteristics of data input by different client access terminals to obtain client access terminals with a data input process approaching, m clustering centers are found in the clustering process, the dispersion of the N client access terminals in different input states is different, and a dispersion formula is as follows:
wherein J is the overall dispersion of N client access terminals,for the kth cluster center, w k Representing samples included in the kth cluster center, +.>The distance from the vector to the clustering center is J, 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;
analyzing data generated in the process from a client access terminal sending request to the beginning of inputting data by using a client analysis module to obtain a management error of a port control module on a client access port, extracting characteristic parameters which change along with time after N client access terminals send access requests simultaneously, obtaining a client access terminal with access error through analysis of the change value of the characteristic parameters along with time sequence, wherein the client access terminal with access error corresponds to X of the client access terminal with access error i Denoted as Y p ，Y p ∈U J ；
Step four, the client analysis module determines a corresponding fitness function J through the vector of the client access terminal with errors e The fitness function formula is:
wherein m represents the number of all cluster centers, Y p Is the error sample vector of the client access terminal with error, m j For the clustering center of error sample vectors obtained through mean value calculation, C is the number of vectors and N C Data dimension, Y px ，m jx Respectively is vector Y p And m j Corresponding elements of different dimensions;
step four, the client analysis module obtains an adaptability function J through analysis e Then carrying out cluster analysis to obtain a client analysis result, and sending the client analysis result to a dynamic analysis module;
2) The method comprises the steps that a client accesses a system through a client access terminal comprising a PC terminal, a mobile phone, a printer and a tablet, different client access terminals are recorded 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 access the network system through different network adapters, the topology analysis module carries out unified management on different network nodes to obtain a data analysis result, and the data analysis result is sent to a dynamic analysis module;
3) The dynamic analysis module receives the client analysis result of the client analysis module and the data analysis result of the topology analysis module, and performs global and local stable analysis on all client access terminals by combining port input data;
4) And the terminal control module and the server module dynamically manage different client access terminals in a grading manner according to the dynamic analysis result of the dynamic analysis module.
2. The system of claim 1, wherein the client analysis module in the third step analyzes an access error caused by the terminal control module in a period from when the client access terminal sends a request to when data starts to be input, and after the client access terminal sends the access request, the client access terminal is accessed under the control of the terminal control module, and at the time t of the access i -t 0 In the i= (1, 2, 3..n) time-end, the client analysis module quantizes the port input data of the client access end which continuously and non-linearly changes with time in the time-period, the 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 Discrete time sequences are obtained through quantification of continuous change processes in time periods, and a matrix formed by feature vectors of different client access terminals corresponding to the time sequences is analyzed to obtain access errors caused by access.
3. The system of claim 1, wherein the dynamic analysis module dynamically analyzes the influence of the states of different client access terminals at different moments on the stable state of the whole network according to the received client analysis result and the data analysis result to obtain a dynamic analysis result, and the dynamic analysis module analyzes the local and global states at different moments in combination with the data analysis result.
4. The system of claim 1, wherein the terminal control module and the server module perform control level analysis on accesses of different client access terminals based on analysis of virtual unit multipoint control of network engineering, perform progressive management on collected data, combine with dynamic analysis results of the dynamic analysis module, perform unified analysis on a data calculation analysis process and virtual unit multipoint transmission, and the data access transmission formula is:
wherein Q is a data transmission parameter, A is operation channel environment data, P is network structure space data, S is a virtual unit multi-point 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 data multi-terminal access control 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, and sends alarm information to the client access terminal generating abnormal data input after receiving control instructions of the server and the terminal control module, wherein the type of the cloud storage database corresponds to different network nodes.
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