CN116684476A - Informationized remote management system and method based on big data - Google Patents
Informationized remote management system and method based on big data Download PDFInfo
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Abstract
The invention relates to the field of remote management, and discloses an informationized remote management system and method based on big data, wherein the system comprises the following steps: the system comprises an information flow detection module, a database module, a big data matching module, a link switching module and a data interaction control module; the invention can realize the optimization of the remote data link, and can solve the problems of signal delay and data packet loss of users during multi-data interaction when the remote link is matched with other user terminals as relay points.
Description
Technical Field
The invention relates to the technical field of remote management, in particular to an informationized remote management system and method based on big data.
Background
In the Internet era, data interaction on multiple lines has become an important means for enterprises to realize different-place offices, users in various places can be connected at any time and any place, and the complicated process of off-line data exchange is avoided. The multi-point data interaction system is generally composed of a user terminal, a VPN gateway, a multi-point control unit MCU and a total server, and is divided into a point-to-point data interaction system and a multi-point data interaction system, wherein the point-to-point data interaction system has good stability but few people supporting data interaction, so that the multi-point data interaction system is widely applied, but for the multi-point data interaction system, users carrying out data interaction are widely distributed in regions, and when carrying out online data interaction, some users are far away from the server of a headquarter, the link is unstable, the signal attenuation is serious, transmission clamping and data loss problems often occur, and the normal operation of the data interaction is influenced.
The existing relay server can solve the problem of the link between the user terminal and the total server to a certain extent, but the data flow of the online data interaction is very small, and the price of renting the relay server is very high. In addition, the relay server is also likely to occupy a large amount of channel resources of other users, so that the overall fluency of the data interaction system is reduced.
Although point-to-point links between users are far more stable than multi-point links, how to use point-to-point links to improve the data stability of multi-point links is also a problem to be solved.
Disclosure of Invention
The invention aims to provide an informationized remote management system and method based on big data, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the informationized remote management method based on big data comprises the following steps:
s100, the system manages all user terminals and a total server, a series of test data packets are sent from the user terminals to the total server every other fixed period of time, the link stability between the user terminals and the total server is detected, if the link stability is not in accordance with the requirement, the situation that the link of the user is unstable is judged, the IP address of the user is recorded, and then the information of the user is fed back to the step S200; meanwhile, the system detects all users with link stability not reaching the standard, records the numbers and the IP addresses of the users for forwarding user matching in the step S300, and if no user meeting the conditions exists, the system feeds the data back to the total server and does not operate; the step can detect the link problem of each user in real time and enter a reconnection program;
S200, the system acquires the users with the link problem in the step S100, records the IP data of the users, and marks the users as users to be matched; acquiring users with link data not reaching standards in the step S100, recording IP data, and marking the IP data as forwarding users; after the IP data of the total server are acquired, all the data acquired in the step are stored in a database;
s300, reading IP data of a user to be matched and a forwarding user in the database in the step S200, and acquiring address data of the user to be matched and the forwarding user from a cloud data platform; reading IP data of the total server and the user to be matched, and acquiring address data of the total server and the user to be matched from a cloud data platform; the system compares the address data acquired twice, removes all forwarding users with address data which do not meet the requirement, and the rest forwarding users are ordered in descending order according to the link stability to form a forwarding user selection list, and marks the forwarding user in the first position of the list as a target user; the step can screen out a proper forwarding link through a matching algorithm;
s400, receiving IP data of a user to be matched and a target user in the step S300, sending test data packets to the target user from the user to be matched twice, evaluating the stability degree of a link between the two users, calculating the characteristic value of the link through the link stability, if the characteristic value of the link detected for the second time is lower than the characteristic value of the link detected for the first time, canceling the mark of the target user, removing the user from a forwarding user selection list, and marking the next forwarding user in the list as the target user to carry out the step S400; if the characteristic value of the link detected for the second time is not lower than the characteristic value of the link detected for the first time, a data generation forwarding request is sent to a target user, if the target user agrees to generate forwarding, a point-to-point channel between two users is established, the link between the user to be matched and a server is disconnected, the link is established with the target user, the data to be matched, which is required to be sent to a total server, is sent to the target user, after the data is received by the target user, an identifier is marked in front of a data packet of the target user, and the data is sent to the total server together with the data; if the target user does not agree with forwarding, the mark of the target user is canceled, the user is removed from the forwarding user selection list, and the next forwarding user in the list is marked as the target user to carry out step S400; before step S400, no link breaking operation is performed, so that it is ensured that no user leaves the data interaction for too long;
S500, after receiving data sent by a target user, the total server identifies the source of a data packet, separates out data with the source of the target user and data with the source of the user to be matched, and respectively analyzes the data; after the new link is established, the system sends a series of test data packets from the users to be matched to the total server to obtain the link stability of the new link; comparing with the link stability of the old link stored in the database, if the link stability of the new link is lower than that of the old link, canceling the mark of the target user, removing the user from the forwarding user selection list, and marking the next forwarding user in the list as the target user to carry out step S400; if the forwarding user selection list does not contain the markable target user, the new link is disconnected, and the old link is reused for data transmission; through the step, the reliability of the whole multi-person link can be ensured.
Further, step S100 includes:
s101, recording the number set of all data interaction participants as A= { A1, A2, …, an }, wherein n represents the number of users participating in data interaction, and An represents the number of the nth user; the system sequentially transmits test data through links of the user terminal and the total server at intervals of x, wherein x is the interval of the system transmitting the test data, an initial value is preset in the system, the time delay of the test data transmitted from the user An to the total server is recorded as t0, the packet loss rate of the test data transmitted from the user An to the total server is p0, and the link stability of the links comprises the time delay and the packet loss rate of the links;
Step S102, detecting the time delay t0 and the packet loss rate p0 of the user An, if t0 is larger than t or p0 is larger than p, wherein t represents the maximum time delay threshold value, p represents the maximum packet loss rate threshold value, recording the IP address information of the user An, and feeding back the information to step S200.
Step S103, detecting that all user sets with time delay not more than t and packet loss rate not more than p are B= { B1, B2, … and Bm }, wherein m represents the number of users meeting the condition, bm represents the user meeting the condition, feeding back the number and IP address information to the step S200, and if no user meeting the condition exists, feeding back data to a total server by the system, and not performing operation;
further, in step S200, the user information found in step S100 is obtained, the user An is marked as a user to be forwarded, the received IP address, delay and packet loss rate information is stored in a database, and all users in the set B are marked as forwarding users, wherein the IP address, delay and packet loss rate information of each user are stored in the database for use in matching in step S300;
further, step S300 includes:
s301, reading the IP address of each user in the user An and the set B from a database, transmitting the IP address information of the user An and the user Bm to a cloud data platform, and inquiring the distance between the two IP addresses from the cloud platform, wherein the distance is recorded as K1;
S302, reading An IP address of a total server from a database, transmitting the IP address of a user An and the IP address information of the total server to a cloud data platform, and inquiring the distance between the user An and the IP address of the total server from the cloud platform, wherein the distance is recorded as K2;
s303, comparing the K1 value and the K2 value of each user in the set B in turn, and if K1> K2 for the user Bm, removing the user Bm from the set; if k1< K2 or k1=k2, then the user Bm is retained in the set;
step S304, the system sequentially sends test data to each user in the set B from the user An, records the time delay of each user for receiving the data, marks t2, arranges all forwarding users in ascending order according to the value of t2, if the time delays of a plurality of forwarding users are the same, records the packet loss rate when the forwarding users receive the data, marks p1, sorts the forwarding users with the same time delay in ascending order according to the value of p1, the sorted forwarding user sequence is called a forwarding user selection list, and marks the user in the first position of the list as a target user; if no user meeting the conditions exists, the system feeds the data back to the total server, and no operation is performed;
Further, step S400 includes:
step S401, receiving the numbers and IP addresses of the user An and the target user Bm to be matched in the step S304, sending test data from the user An to the user Bm twice, recording the time delay of the user Bm for receiving the data for the first time as t3, calculating the characteristic value C1=t3 of the link for sending the transmission data for the first time as p3, calculating the time delay of the Bm for receiving the data for the second time as t4, calculating the characteristic value C2=t4 of the link for transmitting the data for the second time as p4, if C2 is larger than C1, canceling the mark of the target user Bm, removing the target user Bm from a forwarding user selection list, marking the next forwarding user in the list as the target user, repeating the steps until a target user meeting the condition is matched, and if the forwarding user which can be marked does not exist in the list, feeding the data back to the total server by the system, and performing no operation;
step S402, sending a forwarding request to a target user Bm, if Bm agrees, disconnecting a link between a user An and a total server, establishing a point-to-point channel between the user An and the user Bm, sending data which the user An needs to send to the total server to the user Bm through the point-to-point channel, and forwarding the data to the total server by the user Bm; if the target user Bm does not agree to forward, removing the target user Bm from the forwarding user selection list, marking the next forwarding user in the list as the target user, repeating the steps until a target user meeting the conditions is matched, and if the forwarding user which can be marked does not exist in the list, feeding back the data to the total server by the system, and not performing operation;
S403, after receiving data sent by a user An, a target user Bm inserts a source identifier in front of a data packet, and represents that the data source is the user An; the user Bm sends own data and the data transmitted by the user An to a total server;
further, step S500 includes:
step S501, after receiving data sent by a user Bm, a total server identifies all parts containing source identifiers in data packets and separates two data packets, the two data packets are respectively combined and analyzed by a multipoint control unit MCU, and the data of the user An and the data of the user Bm obtained after analysis are respectively output from two ports;
step S502, after the new link is established, the system sends test data to the total server from the user An, records the time delay of the total server for receiving the test data as t5, the packet loss rate as p5, compares the sizes of t0 and t5 and p0 and p5, if t0< t5 or p0< p5, the system cancels the link between the user An and the user Bm, removes the target user Bm from the forwarding user selection list, marks the next forwarding user in the list as the target user, and goes to step S400; if the forwarding user selection list does not contain the forwarding user which can be marked, reestablishing a link between the user An and the total server;
An informationized remote management system based on big data, comprising: the system comprises an information flow detection module, a database module, a big data matching module, a link switching module and a data interaction control module;
the information flow detection module is used for monitoring the link condition of the user terminal and the total server in real time, sending test data from the user terminal to the total server at intervals, recording the time delay and the packet loss rate of the total server for receiving the test data, finding out users with unstable links, marking users to be matched, and finding out users with stable links, marking forwarding user marks; simultaneously, acquiring IP address information of each user terminal, and feeding back all acquired information to a database;
the database module is used for storing the information transmitted by the information flow detection module, and comprises: the IP address of the total server, the number of each user, the IP address, the time delay, the packet loss rate and the marking condition information;
the big data matching module is used for taking out the IP address information between the two users stored in the database, and searching the IP address information on the cloud data platform to obtain the distance information between the two IP addresses; searching on a cloud data platform according to the IP address between the user and the total server to obtain the distance between the user and the total server; screening all forwarding users with the distance between the forwarding users and the user to be matched being greater than the distance between the user to be matched and the total server; reading time delay and packet loss rate information of all forwarding users in a database, comparing the time delay and packet loss rate between the forwarding users, and finally selecting a target user for establishing a link;
The link switching module is used for sending an agent forwarding request to a selected target user and receiving reply information; stopping the user to be matched from sending information to the total server, disconnecting the link between the user and the total server, and releasing the part of channel resources; establishing a point-to-point communication link between a user to be forwarded and a target user, evaluating the stability of the link, and re-matching the target user if the link is unstable;
the data interaction control module is used for controlling a user to be forwarded to send data to a target user, and marking the data to be forwarded with an identifier; the control target user transmits the data to be forwarded and the personal data to the total server; after receiving the information, the control total server identifies the data source according to the data identifier and outputs data through different ports; testing the stability of the new link, and automatically switching back to the old link for data transmission when the transmission effect of the new link is not higher than that of the old link;
further, the information flow detection module includes: the system comprises an information acquisition unit, an information transmission unit, a link detection unit and a user marking unit;
the information acquisition unit is used for acquiring a user number, a server IP address and a user IP address and storing data into the database;
The information sending unit is used for sending test data from the user terminal to the total server;
the link detection unit is used for detecting time delay and packet loss rate of the test data received by the test data when the total server receives the test data from each user terminal, and storing the detected data into the database;
the user marking unit is used for reading the data detected by the link detection unit, marking the user with the time delay or the packet loss rate higher than the maximum threshold value as the user to be matched, and marking the user with the time delay and the packet loss rate lower than the maximum threshold value as the forwarding user;
further, the big data matching module includes: cloud data unit, IP screening unit and link screening unit;
the cloud data unit is used for reading the IP addresses of each user and the total server in the database, and carrying out data retrieval in the network to obtain the distance information between each IP address;
the IP screening unit is used for calculating the distance between the user to be matched and the total server according to the distance information acquired by the cloud data unit, and calculating the distance between the user to be matched and all forwarding users; screening all forwarding users with the distance between the forwarding users and the user to be matched being greater than the distance between the user to be matched and the total server, and canceling the marks of the forwarding users;
The link screening unit is used for acquiring the time delay and packet loss rate information of each forwarding user in the database, comparing the time delay sizes of all forwarding users, arranging all forwarding users in ascending order according to the time delay sizes, if a plurality of forwarding users exist, recording the packet loss rate when the forwarding users receive data, ordering the forwarding users with the same time delay in ascending order according to the packet loss rate, and marking the users in the first position of the list as target users;
further, the link switching module includes: the system comprises a request sending unit, a link reestablishing unit and a link evaluating unit;
the request sending unit is used for sending an agent forwarding request to the marked target user, receiving the reply of the target user, removing the marks of the target user and the forwarding user if the reply is not agreed to be forwarded, and re-matching the target user;
the link reestablishing unit is used for stopping the user to be matched from sending information to the total server, disconnecting the link between the user to be matched and the total server, releasing the part of channel resources, and simultaneously establishing a point-to-point communication link between the user to be forwarded and the target user;
The link evaluation unit is used for sending test data from the user to be matched to the target user twice, recording the time delay and the packet loss rate of the link when the target user receives the test data, calculating the characteristic value of the link, if the characteristic value detected for the first time is higher than that for the second time, removing the marks of the target user and the forwarding user, and selecting the next target user from the forwarding user selection list to be connected again;
further, the data interaction control module includes: the system comprises a data identification unit, a multipoint control unit and a new link detection unit;
the data identification unit is used for marking a source identifier before a data packet which is sent to a target user by the user to be forwarded, and the target user sends personal data and the identified data which is sent to the user to be forwarded to the total server;
the multipoint control unit is used for receiving all data sent by the target user, identifying and separating the data with the source identifier, and outputting the data to the total server from one interface independently;
the new link detection unit is used for sending test data from a user to be forwarded to the total server through a new link, recording the time delay and the packet loss rate of the data in the data transmission, removing the marks of the target user and the forwarding user when the time delay or the packet loss rate of the new link is higher than that of the old link, selecting the next target user from the forwarding user selection list to be connected again, and automatically switching back to the old link to carry out the data transmission if no target user meeting the conditions exists.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention can monitor the stability of the link in real time when a plurality of data are interacted, identify users with unstable links, so that the data are not directly transmitted to a total server, and the selected other users replace the multipoint interacted link by using the point-to-point data interaction link to reconstruct the transmission link;
2. the invention uses other users in the link network as signal relay points, solves the signal attenuation problem which is easy to occur when the users transmit signals in long distance, saves the cost compared with a relay server, and ensures that the process of carrying out lightweight data interaction between the users is more convenient;
3. the invention adopts big data technology to obtain the needed information from the cloud data platform, intelligently identifies the distance between the user IPs, screens forward relay points with the distance not meeting the requirements in advance, shortens the process of matching the target user, and reduces the waiting time of the user caused by reestablishing the link.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of the structure of the big data based informationized remote management system of the present invention;
FIG. 2 is a schematic diagram of a device connection structure in one embodiment of the big data based informationized remote management system of the present invention;
FIG. 3 is a schematic diagram of steps of the big data based informationized remote management method of the present invention;
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: an informationized remote management system based on big data, comprising: the system comprises an information flow detection module, a database module, a big data matching module, a link switching module and a data interaction control module;
The information flow detection module is used for monitoring the link condition of the user terminal and the total server in real time, sending test data from the user terminal to the total server at intervals, recording the time delay and the packet loss rate of the total server for receiving the test data, finding out users with unstable links, marking users to be matched, and finding out users with stable links, marking forwarding user marks; simultaneously, acquiring IP address information of each user terminal, and feeding back all acquired information to a database;
the information flow detection module comprises: the system comprises an information acquisition unit, an information transmission unit, a link detection unit and a user marking unit;
the information acquisition unit is used for acquiring a user number, a server IP address and a user IP address and storing data into the database;
the information sending unit is used for sending test data from the user terminal to the total server;
the link detection unit is used for detecting time delay and packet loss rate of the test data received by the test data when the total server receives the test data from each user terminal, and storing the detected data into the database;
the user marking unit is used for reading the data detected by the link detection unit, marking the user with the time delay or the packet loss rate higher than the maximum threshold value as the user to be matched, and marking the user with the time delay and the packet loss rate lower than the maximum threshold value as the forwarding user;
The database module is used for storing the information transmitted by the information flow detection module, and comprises: the IP address of the total server, the number of each user, the IP address, the time delay, the packet loss rate and the marking condition information;
the big data matching module is used for taking out the IP address information between the two users stored in the database, and searching the IP address information on the cloud data platform to obtain the distance information between the two IP addresses; searching on a cloud data platform according to the IP address between the user and the total server to obtain the distance between the user and the total server; screening all forwarding users with the distance between the forwarding users and the user to be matched being greater than the distance between the user to be matched and the total server; reading time delay and packet loss rate information of all forwarding users in a database, comparing the time delay and packet loss rate between the forwarding users, and finally selecting a target user for establishing a link;
the big data matching module comprises: cloud data unit, IP screening unit and link screening unit;
the cloud data unit is used for reading the IP addresses of each user and the total server in the database, and carrying out data retrieval in the network to obtain the distance information between each IP address;
the IP screening unit is used for calculating the distance between the user to be matched and the total server according to the distance information acquired by the cloud data unit, and calculating the distance between the user to be matched and all forwarding users; screening all forwarding users with the distance between the forwarding users and the user to be matched being greater than the distance between the user to be matched and the total server, and canceling the marks of the forwarding users;
The link screening unit is used for acquiring the time delay and packet loss rate information of each forwarding user in the database, comparing the time delay sizes of all forwarding users, arranging all forwarding users in ascending order according to the time delay sizes, if a plurality of forwarding users exist, recording the packet loss rate when the forwarding users receive data, ordering the forwarding users with the same time delay in ascending order according to the packet loss rate, and marking the users in the first position of the list as target users;
the link switching module is used for sending an agent forwarding request to a selected target user and receiving reply information; stopping the user to be matched from sending information to the total server, disconnecting the link between the user and the total server, and releasing the part of channel resources; establishing a point-to-point communication link between a user to be forwarded and a target user, evaluating the stability of the link, and re-matching the target user if the link is unstable;
the link switching module includes: the system comprises a request sending unit, a link reestablishing unit and a link evaluating unit;
the request sending unit is used for sending an agent forwarding request to the marked target user, receiving the reply of the target user, removing the marks of the target user and the forwarding user if the reply is not agreed to be forwarded, and re-matching the target user;
The link reestablishing unit is used for stopping the user to be matched from sending information to the total server, disconnecting the link between the user to be matched and the total server, releasing the part of channel resources, and simultaneously establishing a point-to-point communication link between the user to be forwarded and the target user;
the link evaluation unit is used for sending test data from the user to be matched to the target user twice, recording the time delay and the packet loss rate of the link when the target user receives the test data, calculating the characteristic value of the link, if the characteristic value detected for the first time is higher than that for the second time, removing the marks of the target user and the forwarding user, and selecting the next target user from the forwarding user selection list to be connected again;
the data interaction control module is used for controlling a user to be forwarded to send data to a target user, and marking the data to be forwarded with an identifier; the control target user transmits the data to be forwarded and the personal data to the total server; after receiving the information, the control total server identifies the data source according to the data identifier and outputs data through different ports; testing the stability of the new link, and automatically switching back to the old link for data transmission when the transmission effect of the new link is not higher than that of the old link;
The data interaction control module comprises: the system comprises a data identification unit, a multipoint control unit and a new link detection unit;
the data identification unit is used for marking a source identifier before a data packet which is sent to a target user by the user to be forwarded, and the target user sends personal data and the identified data which is sent to the user to be forwarded to the total server;
the multipoint control unit is used for receiving all data sent by the target user, identifying and separating the data with the source identifier, and outputting the data to the total server from one interface independently;
the new link detection unit is used for sending test data from a user to be forwarded to the total server through a new link, recording the time delay and the packet loss rate of the data in the data transmission, removing the marks of the target user and the forwarding user when the time delay or the packet loss rate of the new link is higher than that of the old link, selecting the next target user from the forwarding user selection list to be connected again, and automatically switching back to the old link to carry out the data transmission if no target user meeting the condition exists;
as shown in fig. 3, the informationized remote management method based on big data comprises the following steps:
s100, after online data interaction starts, the system manages all user terminals and a total server, a series of test data packets are sent from the user terminals to the total server every other fixed period of time, link stability between the user terminals and the total server is detected, if the link stability is not in accordance with the requirement, the situation that the link of the user is unstable is judged, after the IP address of the user is recorded, information of the user is fed back to the step S200; meanwhile, the system detects all users with link stability not reaching the standard, records the numbers and the IP addresses of the users for forwarding user matching in the step S300, and if no user meeting the conditions exists, the system feeds the data back to the total server and does not operate;
The step S100 includes:
s101, recording the number set of all data interaction participants as A= { A1, A2, …, an }, wherein n represents the number of users participating in data interaction, and An represents the number of the nth user; the system sequentially transmits test data through links of the user terminal and the total server at intervals of x, wherein x is the interval of the system transmitting the test data, an initial value is preset in the system, the time delay of the test data transmitted from the user An to the total server is recorded as t0, the packet loss rate of the test data transmitted from the user An to the total server is p0, and the link stability of the links comprises the time delay and the packet loss rate of the links;
step S102, detecting the time delay t0 and the packet loss rate p0 of the user An, if t0 is larger than t or p0 is larger than p, wherein t represents the maximum time delay threshold value, p represents the maximum packet loss rate threshold value, recording the IP address information of the user An, and feeding back the information to step S200.
Step S103, detecting that all user sets with time delay not more than t and packet loss rate not more than p are B= { B1, B2, … and Bm }, wherein m represents the number of users meeting the condition, bm represents the user meeting the condition, feeding back the number and IP address information to the step S200, and if no user meeting the condition exists, feeding back data to a total server by the system, and not performing operation;
S200, the system acquires the users with the link problem in the step S100, records the IP data of the users, and marks the users as users to be matched; acquiring users with link data not reaching standards in the step S100, recording IP data, and marking the IP data as forwarding users; after the IP data of the total server are acquired, all the data acquired in the step are stored in a database;
in step S200, obtaining the user information found in step S100, marking the user An as a user to be forwarded, storing the received IP address, delay and packet loss rate information in a database, marking all users in the set B as forwarding users, wherein the IP address, delay and packet loss rate information of each user are stored in the database for use in matching in step S300;
s300, reading IP data of a user to be matched and a forwarding user in the database in the step S200, and acquiring address data of the user to be matched and the forwarding user from a cloud data platform; reading IP data of the total server and the user to be matched, and acquiring address data of the total server and the user to be matched from a cloud data platform; the system compares the address data acquired twice, removes all forwarding users with address data which do not meet the requirement, and the rest forwarding users are ordered in descending order according to the link stability to form a forwarding user selection list, and marks the forwarding user in the first position of the list as a target user;
Step S300 includes:
s301, reading the IP address of each user in the user An and the set B from a database, transmitting the IP address information of the user An and the user Bm to a cloud data platform, and inquiring the distance between the two IP addresses from the cloud platform, wherein the distance is recorded as K1;
s302, reading An IP address of a total server from a database, transmitting the IP address of a user An and the IP address information of the total server to a cloud data platform, and inquiring the distance between the user An and the IP address of the total server from the cloud platform, wherein the distance is recorded as K2;
s303, comparing the K1 value and the K2 value of each user in the set B in turn, and if K1> K2 for the user Bm, removing the user Bm from the set; if k1< K2 or k1=k2, then the user Bm is retained in the set;
step S304, the system sequentially sends test data to each user in the set B from the user An, records the time delay of each user for receiving the data, marks t2, arranges all forwarding users in ascending order according to the value of t2, if the time delays of a plurality of forwarding users are the same, records the packet loss rate when the forwarding users receive the data, marks p1, sorts the forwarding users with the same time delay in ascending order according to the value of p1, the sorted forwarding user sequence is called a forwarding user selection list, and marks the user in the first position of the list as a target user; if no user meeting the conditions exists, the system feeds the data back to the total server, and no operation is performed;
S400, receiving IP data of a user to be matched and a target user in the step S300, sending test data packets to the target user from the user to be matched twice, evaluating the stability degree of a link between the two users, calculating the characteristic value of the link through the link stability, if the characteristic value of the link detected for the second time is lower than the characteristic value of the link detected for the first time, canceling the mark of the target user, removing the user from a forwarding user selection list, and marking the next forwarding user in the list as the target user to carry out the step S400; if the characteristic value of the link detected for the second time is not lower than the characteristic value of the link detected for the first time, a data generation forwarding request is sent to a target user, if the target user agrees to generate forwarding, a point-to-point channel between two users is established, the link between the user to be matched and a server is disconnected, the link is established with the target user, the data to be matched, which is required to be sent to a total server, is sent to the target user, after the data is received by the target user, an identifier is marked in front of a data packet of the target user, and the data is sent to the total server together with the data; if the target user does not agree with forwarding, the mark of the target user is canceled, the user is removed from the forwarding user selection list, and the next forwarding user in the list is marked as the target user to carry out step S400; before step S400, no link breaking operation is performed, so that it is ensured that no user leaves the data interaction for too long;
Step S400 includes:
step S401, receiving the numbers and IP addresses of the user An and the target user Bm to be matched in the step S304, sending test data from the user An to the user Bm twice, recording the time delay of the user Bm for receiving the data for the first time as t3, calculating the characteristic value C1=t3 of the link for sending the transmission data for the first time as p3, calculating the time delay of the Bm for receiving the data for the second time as t4, calculating the characteristic value C2=t4 of the link for transmitting the data for the second time as p4, if C2 is larger than C1, canceling the mark of the target user Bm, removing the target user Bm from a forwarding user selection list, marking the next forwarding user in the list as the target user, repeating the steps until a target user meeting the condition is matched, and if the forwarding user which can be marked does not exist in the list, feeding the data back to the total server by the system, and performing no operation;
step S402, sending a forwarding request to a target user Bm, if Bm agrees, disconnecting a link between a user An and a total server, establishing a point-to-point channel between the user An and the user Bm, sending data which the user An needs to send to the total server to the user Bm through the point-to-point channel, and forwarding the data to the total server by the user Bm; if the target user Bm does not agree to forward, removing the target user Bm from the forwarding user selection list, marking the next forwarding user in the list as the target user, repeating the steps until a target user meeting the conditions is matched, and if the forwarding user which can be marked does not exist in the list, feeding back the data to the total server by the system, and not performing operation;
S403, after receiving data sent by a user An, a target user Bm inserts a source identifier in front of a data packet, and represents that the data source is the user An; the user Bm sends own data and the data transmitted by the user An to a total server;
s500, after receiving data sent by a target user, the total server identifies the source of a data packet, separates out data with the source of the target user and data with the source of the user to be matched, and respectively analyzes the data; after the new link is established, the system sends a series of test data packets from the users to be matched to the total server to obtain the link stability of the new link; comparing with the link stability of the old link stored in the database, if the link stability of the new link is lower than that of the old link, canceling the mark of the target user, removing the user from the forwarding user selection list, and marking the next forwarding user in the list as the target user to carry out step S400; if the forwarding user selection list does not contain the markable target user, the new link is disconnected, and the old link is reused for data transmission;
step S500 includes:
step S501, after receiving data sent by a user Bm, a total server identifies all parts containing source identifiers in data packets and separates two data packets, the two data packets are respectively combined and analyzed by a multipoint control unit MCU, and the data of the user An and the data of the user Bm obtained after analysis are respectively output from two ports;
Step S502, after the new link is established, the system sends test data to the total server from the user An, records the time delay of the total server for receiving the test data as t5, the packet loss rate as p5, compares the sizes of t0 and t5 and p0 and p5, if t0< t5 or p0< p5, the system cancels the link between the user An and the user Bm, removes the target user Bm from the forwarding user selection list, marks the next forwarding user in the list as the target user, and goes to step S400; if the forwarding user selection list does not contain the forwarding user which can be marked, the link between the user An and the total server is reestablished.
Example 1:
as shown in fig. 2, three IP users are simultaneously connected with a total server and exchange data, namely user 1, user 2 and user 3, and the system presets parameters x=1 second, the maximum delay threshold t=1 second and the maximum packet loss rate threshold p=3%;
the system sequentially sends test data from user terminals of users 1, 2 and 3 to the total server every 1 second, detects time delay t0=2 seconds of data sent from user 2 to the total server, and judges that the user 1 has a link instability problem and marks the link instability problem as a user to be matched; calculating the time delay of the user 1 to be 0.5 seconds, the packet loss rate to be 1%, the time delay of the user 3 to be 1 second, and the packet loss rate to be 2%, marking the user 1 and the user 3 as forwarding users by the system, generating a forwarding user list according to the time delay, and marking the user 1 arranged at the first position as the forwarding user;
The system breaks the link between the user 2 and the total server, establishes a point-to-point link between the user 1 and the user 2, and sends test data from the user 2 to the user 1, so that the first time link data delay is 2 seconds, the packet loss rate is 1%, the link stability C1=0.02, the second time link data delay is 1 second, the packet loss rate is 1%, the link stability C2=0.01, and the C2< C1 accords with the link standard of the point-to-point link; user 2 sends data to user 1 through the link, the system adds source identifier before the data packet sent by user 2, user 1 sends the received data from user 2 and the data generated by user 1 to the total server; the total server receives the data packet, detects that the stability of the new link is higher than that of the old link, outputs all data with the source identifier to the interface 1, and outputs other data to the interface 2.
Example 2:
in one online multi-user data interaction, five users participate in the data interaction, the numbers of the users are 1, 2, 3, 4 and 5 respectively, the preset parameter X of the system is=5 seconds, the maximum time delay threshold t is=2 seconds, the maximum packet loss rate threshold p is=5%, t3 is=2 seconds, p3 is=5%, t4 is=1 second, and p4 is=1%;
after data interaction starts, the system sequentially sends test data from user terminals of users 1, 2, 3, 4 and 5 to the total server every 5 seconds, detects time delay t0=3 seconds of data sent from the user 1 to the total server, and judges that the user 1 has a link instability problem and marks the link instability problem as a user to be matched; calculating the time delay of a user 2 as 1 second, the packet loss rate as 1%, the time delay of a user 3 as 2 seconds, the packet loss rate as 1%, the time delay of a user 4 as 1 second, the packet loss rate as 8%, the time delay of a user 5 as 1 second, the packet loss rate as 3%, the system judging that the user 2, the user 3 and the user 5 meet the forwarding requirement, marking the users as forwarding users, obtaining the IP addresses of the user 1, the user 2, the user 3, the user 5 and a total server, and storing all data into a database;
The system reads the IP addresses of the user 1 and the total server from the database, uploads the IP address information to the cloud data platform, inquires that the distance between the two IP addresses is 1000 km, reads the IP addresses of the user 2, the user 3 and the user 5, respectively searches the cloud data platform for the distances between the user 2, the user 3 and the user 1 of 200 km, 1200 km and 500 km, and removes the mark of the forwarding user of the user 3 because the distance between the user 1 and the user 3 is larger than the distance between the user 1 and the total server; comparing the time delay of the user 2 with the time delay of the user 5, wherein the time delay is equal, the packet loss rate of the time delay is smaller than that of the user 2, and the system marks the user 2 positioned at the first position of the forwarding user selection list as a target user;
the system sends a forwarding request to a user 2, the user 2 agrees to forward, the system breaks the link between the user 1 and the total server, a point-to-point link between the user 1 and the user 2 is established, test data is sent from the user 1 to the user 2, the stability C1=0.1 of the first data link is obtained, the stability C2=0.01 of the second data link is obtained, and C2< C1 accords with the link standard of the point-to-point link; the user 1 sends data to the user 2 through the link, the system adds a source identifier before the data packet sent by the user 1, the user 2 sends the received data from the user 1 and the data generated by the user 1 to the total server together, the total server analyzes the data packet, all the data with the source identifier are independently output to the interface 1, and other data are output to the interface 2; the system detects the time delay of the new link to be 1 second, the packet loss rate is 2%, the preset standard is reached, and the system defaults to use the new link to transmit the data of the user 1.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The informationized remote management method based on big data is characterized by comprising the following steps of:
s100, the system manages all user terminals and a total server, sends test data packets from the user terminals to the total server every fixed time, detects the link stability between the user terminals and the total server, judges that the user has unstable link if the link stability is not in accordance with the requirement, records the IP address of the user, and feeds back the information of the user to the step S200; meanwhile, the system detects all users with link stability not reaching the standard, records the numbers and the IP addresses of the users for forwarding user matching in the step S300, and if no user meeting the conditions exists, feeds back data to the total server and does not operate;
s200, the system acquires the users with the link problem in the step S100, records the IP data of the users, and marks the users as users to be matched; acquiring users with link data not reaching standards in the step S100, recording IP data, and marking the IP data as forwarding users; after the IP data of the total server are acquired, all the data acquired in the step are stored in a database;
s300, reading IP data of a user to be matched and a forwarding user in the database in the step S200, and acquiring address data of the user to be matched and the forwarding user from a cloud data platform; reading IP data of the total server and the user to be matched, and acquiring address data of the total server and the user to be matched from a cloud data platform; the system compares the address data acquired twice, removes all forwarding users with address data which do not meet the requirement, and the rest forwarding users are ordered in descending order according to the link stability to form a forwarding user selection list, and marks the forwarding user in the first position of the list as a target user;
S400, receiving the IP data in the step S300, sending out a test data packet twice, calculating the characteristic value of a link between two users, and if the characteristic value of a second link is lower than the characteristic value of a first link, canceling the mark of a target user and marking the next forwarding user in a list as the target user; sending a data generation forwarding request to a target user, if the target user agrees to forward, establishing a point-to-point channel, disconnecting the link between the user to be matched and the server, and establishing a link with the target user, wherein the target user receives data, marks an identifier in front of a data packet of the data, and sends the data packet to a total server; if the target user does not agree to forward, canceling the mark thereof, and marking the next forwarding user in the list as the target user;
s500, after receiving data sent by a target user, the total server identifies the source of a data packet, separates out data with the source of the target user and data with the source of the user to be matched, and respectively analyzes the data; after the new link is established, the system sends a series of test data packets from the users to be matched to the total server to obtain the link stability of the new link; comparing with the link stability of the old link stored in the database, if the link stability of the new link is lower than that of the old link, canceling the mark of the target user, removing the user from the forwarding user selection list, and marking the next forwarding user in the list as the target user to carry out step S400; if the forwarding user selection list does not have the markable target user, the new link is disconnected, and the old link is reused for data transmission.
2. The big data based informationized remote management method according to claim 1, wherein: the step S100 includes:
s101, recording the number set of all participants as A= { A1, A2, …, an }, wherein n represents the number of users participating in data interaction, and An represents the number of the nth user; the system sequentially transmits test data through links of the user terminal and the total server at intervals of x, wherein x is the interval of the system transmitting the test data, an initial value is preset in the system, the time delay of the test data transmitted from the user An to the total server is recorded as t0, the packet loss rate of the test data transmitted from the user An to the total server is p0, and the link stability of the links comprises the time delay and the packet loss rate of the links;
step S102, detecting the time delay t0 and the packet loss rate p0 of the user An, if t0 is larger than t or p0 is larger than p, wherein t represents the maximum time delay threshold value, p represents the maximum packet loss rate threshold value, recording the IP address information of the user An, and feeding back the information to step S200.
Step S103, detecting that all user sets with time delay not more than t and packet loss rate not more than p are B= { B1, B2, … and Bm }, wherein m represents the number of users meeting the condition, bm represents the user meeting the condition, feeding back the number and IP address information to the step S200, and if no user meeting the condition exists, feeding back data to a total server by the system, and not performing operation;
In step S200, the user information found in step S100 is obtained, the user An is marked as a user to be forwarded, the received IP address, delay and packet loss rate information is stored in a database, and all users in the set B are marked as forwarding users, wherein the IP address, delay and packet loss rate information of each user are stored in the database for use in matching in step S300.
3. The big data based informationized remote management method according to claim 1, wherein: step S300 includes:
s301, reading the IP address of each user in the user An and the set B from a database, transmitting the IP address information of the user An and the user Bm to a cloud data platform, and inquiring the distance between the two IP addresses from the cloud platform, wherein the distance is recorded as K1;
s302, reading An IP address of a total server from a database, transmitting the IP address of a user An and the IP address information of the total server to a cloud data platform, and inquiring the distance between the user An and the IP address of the total server from the cloud platform, wherein the distance is recorded as K2;
s303, comparing the K1 value and the K2 value of each user in the set B in turn, and if K1> K2 for the user Bm, removing the user Bm from the set; if k1< K2 or k1=k2, then the user Bm is retained in the set;
Step S304, the system sequentially sends test data to each user in the set B from the user An, records the time delay of each user for receiving the data, marks t2, arranges all forwarding users in ascending order according to the value of t2, if the time delays of a plurality of forwarding users are the same, records the packet loss rate when the forwarding users receive the data, marks p1, sorts the forwarding users with the same time delay in ascending order according to the value of p1, the sorted forwarding user sequence is called a forwarding user selection list, and marks the user in the first position of the list as a target user; if no user meeting the condition exists, the system feeds the data back to the total server, and no operation is performed.
4. The big data based informationized remote management method according to claim 1, wherein: step S400 includes:
step S401, receiving the numbers and IP addresses of the user An and the target user Bm to be matched in the step S304, sending test data from the user An to the user Bm twice, recording the time delay of the user Bm for receiving the data for the first time as t3, calculating the characteristic value C1=t3 of the link for sending the transmission data for the first time as p3, calculating the time delay of the Bm for receiving the data for the second time as t4, calculating the characteristic value C2=t4 of the link for transmitting the data for the second time as p4, if C2 is larger than C1, canceling the mark of the target user Bm, removing the target user Bm from a forwarding user selection list, marking the next forwarding user in the list as the target user, repeating the steps until a target user meeting the condition is matched, and if the forwarding user which can be marked does not exist in the list, feeding the data back to the total server by the system, and performing no operation;
Step S402, sending a forwarding request to a target user Bm, if Bm agrees, disconnecting a link between a user An and a total server, establishing a point-to-point channel between the user An and the user Bm, sending data which the user An needs to send to the total server to the user Bm through the point-to-point channel, and forwarding the data to the total server by the user Bm; if the target user Bm does not agree to forward, removing the target user Bm from the forwarding user selection list, marking the next forwarding user in the list as the target user, repeating the steps until a target user meeting the conditions is matched, and if the forwarding user which can be marked does not exist in the list, feeding back the data to the total server by the system, and not performing operation;
s403, after receiving data sent by a user An, a target user Bm inserts a source identifier in front of a data packet, and represents that the data source is the user An; the user Bm transmits its own data to the total server together with the data transmitted from the user An.
5. The big data based informationized remote management method according to claim 1, wherein: step S500 includes:
step S501, after receiving data sent by a user Bm, a total server identifies all parts containing source identifiers in data packets and separates two data packets, the two data packets are respectively combined and analyzed by a multipoint control unit MCU, and the data of the user An and the data of the user Bm obtained after analysis are respectively output from two ports;
Step S502, after the new link is established, the system sends test data to the total server from the user An, records the time delay of the total server for receiving the test data as t5, the packet loss rate as p5, compares the sizes of t0 and t5 and p0 and p5, if t0< t5 or p0< p5, the system cancels the link between the user An and the user Bm, removes the target user Bm from the forwarding user selection list, marks the next forwarding user in the list as the target user, and goes to step S400; if the forwarding user selection list does not contain the forwarding user which can be marked, the link between the user An and the total server is reestablished.
6. Big data-based informationized remote management system, which is characterized in that: the system comprises: the system comprises an information flow detection module, a database module, a big data matching module, a link switching module and a data interaction control module;
the information flow detection module is used for monitoring the link condition of the user terminal and the total server in real time, sending test data from the user terminal to the total server at intervals, recording the time delay and the packet loss rate of the total server for receiving the test data, finding out users with unstable links, marking users to be matched, and finding out users with stable links, marking forwarding user marks; simultaneously, acquiring IP address information of each user terminal, and feeding back all acquired information to a database;
The database module is used for storing the information transmitted by the information flow detection module, and comprises: the IP address of the total server, the number of each user, the IP address, the time delay, the packet loss rate and the marking condition information;
the big data matching module is used for taking out the IP address information between the two users stored in the database, and searching the IP address information on the cloud data platform to obtain the distance information between the two IP addresses; searching on a cloud data platform according to the IP address between the user and the total server to obtain the distance between the user and the total server; screening all forwarding users with the distance between the forwarding users and the user to be matched being greater than the distance between the user to be matched and the total server; reading time delay and packet loss rate information of all forwarding users in a database, comparing the time delay and packet loss rate between the forwarding users, and finally selecting a target user for establishing a link;
the link switching module is used for sending an agent forwarding request to a selected target user and receiving reply information; stopping the user to be matched from sending information to the total server, disconnecting the link between the user and the total server, and releasing the part of channel resources; establishing a point-to-point communication link between a user to be forwarded and a target user, evaluating the stability of the link, and re-matching the target user if the link is unstable;
The data interaction control module is used for controlling a user to be forwarded to send data to a target user, and marking the data to be forwarded with an identifier; the control target user transmits the data to be forwarded and the personal data to the total server; after receiving the information, the control total server identifies the data source according to the data identifier and outputs data through different ports; and testing the stability of the new link, and automatically switching back to the old link for data transmission when the transmission effect of the new link is not higher than that of the old link.
7. The big data based informationized remote management system of claim 6, wherein: the information flow detection module comprises: the system comprises an information acquisition unit, an information transmission unit, a link detection unit and a user marking unit;
the information acquisition unit is used for acquiring a user number, a server IP address and a user IP address and storing data into the database;
the information sending unit is used for sending test data from the user terminal to the total server;
the link detection unit is used for detecting time delay and packet loss rate of the test data received by the test data when the total server receives the test data from each user terminal, and storing the detected data into the database;
The user marking unit is used for reading the data detected by the link detection unit, marking the users with the time delay or the packet loss rate higher than the maximum threshold value as users to be matched, and marking the users with the time delay and the packet loss rate lower than the maximum threshold value as forwarding users.
8. The big data based informationized remote management system of claim 6, wherein: the big data matching module comprises: cloud data unit, IP screening unit and link screening unit;
the cloud data unit is used for reading the IP addresses of each user and the total server in the database, and carrying out data retrieval in the network to obtain the distance information between each IP address;
the IP screening unit is used for calculating the distance between the user to be matched and the total server according to the distance information acquired by the cloud data unit, and calculating the distance between the user to be matched and all forwarding users; screening all forwarding users with the distance between the forwarding users and the user to be matched being greater than the distance between the user to be matched and the total server, and canceling the marks of the forwarding users;
the link screening unit is used for acquiring the time delay and packet loss rate information of each forwarding user in the database, comparing the time delay of all forwarding users, arranging all forwarding users in ascending order according to the time delay, if a plurality of forwarding users exist, recording the packet loss rate when the forwarding users receive data, ordering the forwarding users with the same time delay in ascending order according to the size of the packet loss rate, and marking the user in the first list as a target user.
9. The big data based informationized remote management system of claim 6, wherein: the link switching module includes: the system comprises a request sending unit, a link reestablishing unit and a link evaluating unit;
the request sending unit is used for sending an agent forwarding request to the marked target user, receiving the reply of the target user, removing the marks of the target user and the forwarding user if the reply is not agreed to be forwarded, and re-matching the target user;
the link reestablishing unit is used for stopping the user to be matched from sending information to the total server, disconnecting the link between the user to be matched and the total server, releasing the part of channel resources, and simultaneously establishing a point-to-point communication link between the user to be forwarded and the target user;
the link evaluation unit is used for sending test data from the user to be matched to the target user twice, recording the time delay and the packet loss rate of the link when the target user receives the test data, calculating the characteristic value of the link, if the characteristic value detected for the first time is higher than that for the second time, removing the marks of the target user and the forwarding user, and selecting the next target user from the forwarding user selection list to be connected again.
10. The big data based informationized remote management system of claim 6, wherein: the data interaction control module comprises: the system comprises a data identification unit, a multipoint control unit and a new link detection unit;
The data identification unit is used for marking a source identifier before a data packet which is sent to a target user by the user to be forwarded, and the target user sends personal data and the identified data which is sent to the user to be forwarded to the total server;
the multipoint control unit is used for receiving all data sent by the target user, identifying and separating the data with the source identifier, and outputting the data to the total server from one interface independently;
the new link detection unit is used for sending test data from a user to be forwarded to the total server through a new link, recording the time delay and the packet loss rate of the data in the data transmission, removing the marks of the target user and the forwarding user when the time delay or the packet loss rate of the new link is higher than that of the old link, selecting the next target user from the forwarding user selection list to be connected again, and automatically switching back to the old link to carry out the data transmission if no target user meeting the conditions exists.
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| CN117579694B (en) * | 2024-01-15 | 2024-04-16 | 国网浙江省电力有限公司宁波供电公司 | Ubiquitous power internet of things-based data sharing management method and system |
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