CN115022205A - Cross-network data transmission method applied to high-concurrency scene of massive terminals - Google Patents
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Abstract
The invention discloses a cross-network data transmission method applied to a high-concurrency scene of a mass of terminals. The method comprises the steps that round-trip delay data between a sending end and a cross-network transmission device are obtained and transmitted to a BP neural network model, so that the BP neural network model judges whether a current network is in a congestion state or not according to the round-trip delay data, and the transmission rate which is judged to be in the congestion state is adjusted; and executing data transmission between the sending end and the cross-network transmission device according to the adjusted transmission rate, or executing data transmission between the cross-network transmission device and the receiving end according to the adjusted transmission rate. The technical scheme of the invention improves the efficiency of data transmission across networks and avoids the problem of congestion during data transmission across networks.
Description
Technical Field
The invention relates to the technical field of cross-network data transmission, in particular to a cross-network data transmission method applied to a high-concurrency scene of a mass of terminals.
Background
Under the condition of continuously advancing construction at the energy demand side, the power system has become a hub for mutual conversion of various energy sources. With the access of massive terminal devices to the power system, data carried by the power system increases rapidly and shows a high concurrency trend. How to balance the traffic of different transmission paths and how to optimize the performance of multipath concurrent transmission becomes a key research direction for ensuring a plurality of data service quality requirements in a high concurrent scene. In addition, with the rapid development of network technologies, data transmission is no longer limited to the same network environment, the demand for cross-network data transmission between different networks is more and more common, and how to reliably transmit data across networks in a distributed heterogeneous environment of a power system is another hot issue of current research.
At present, when the existing cross-network transmission method deals with burst data flow, the convergence is poor, the stability and robustness of the processing result are poor, the problem that the data flow control is not matched with the congestion control exists, the congestion problem when the cross-network transmission data is transmitted is difficult to solve, and the high-concurrency scene data transmission requirement cannot be met. In addition, in the existing cross-network data transmission method, a mobile storage medium is adopted to copy cross-network data to be transmitted from one network environment, and after the copy is completed, the data is often lost or the transmission is failed in the transmission process when the mobile storage medium is copied to another network environment, so that the reliability is poor. Therefore, it is necessary to research and design an optimization scheme for cross-network transmission in a scenario of high concurrency of mass data in the power system to meet the transmission requirement of data in the power system.
The prior art has the following problems:
1. the existing cross-network transmission method needs to adopt a mobile storage medium to copy cross-network data to be transmitted to another network environment through the mobile storage medium, and the data loss or transmission failure often occurs in the transmission process, so that the reliability is poor.
2. When the existing cross-network transmission method deals with burst data flow, data flow control is not matched with congestion control, the problem of congestion during cross-network data transmission is difficult to solve, and the requirement of high-concurrency scene data transmission cannot be met.
Disclosure of Invention
The invention provides a cross-network data transmission method applied to a high-concurrency scene of a mass of terminals, which improves the efficiency of cross-network data transmission and avoids the problem of congestion during cross-network data transmission.
An embodiment of the present invention provides a cross-network data transmission method applied to a high-concurrency scenario with a large number of terminals, including the following steps:
acquiring first round-trip delay data between a sending end and a cross-network transmission device, transmitting the first round-trip delay data to a BP (back propagation) neural network model, so that the BP neural network model judges whether a current network is in a congestion state or not according to the first round-trip delay data, and adjusting the transmission rate which is judged to be in the congestion state to be a first transmission rate;
executing data transmission between the sending end and the cross-network transmission device according to the first transmission rate;
acquiring second round-trip delay data between the cross-network transmission device and a receiving end, and transmitting the second round-trip delay data to the BP neural network model so that the BP neural network model judges the congestion state of the current network according to the second round-trip delay data, and adjusts the transmission rate which is judged to be in the congestion state into a second transmission rate;
and executing data transmission between the cross-network transmission device and a receiving end according to the second transmission rate.
Further, the cross-network transmission device caches the target data sent by the sending end according to the first transmission rate, and sends the target data to the receiving end according to the second transmission rate after caching is finished.
Further, adjusting the transmission rate determined as the congestion state to the first transmission rate specifically includes:
when the current network is in a congestion state, adding a corresponding number of rate adjustment frames into a data packet for data transmission according to the first transmission rate, and sending the generated first transmission rate to the sending end so that the sending end performs data transmission according to the first transmission rate;
adjusting the transmission rate determined to be in the congestion state to a second transmission rate specifically includes:
and when the current network is in a congestion state, adding a corresponding number of rate adjustment frames into a data packet for data transmission according to the second transmission rate, and sending the generated second transmission rate to the receiving end so that the receiving end performs data transmission according to the second transmission rate.
Further, a round-trip delay detection transmission port is arranged between the sending end and the cross-network transmission device and between the cross-network transmission device and the receiving end, so that the round-trip delay data is obtained.
Further, the cross-network transmission device comprises a first connection module, an acquisition module, a second connection module and a sending module;
the first connection module is used for determining a sending end and a receiving end of data transmission according to a data transmission instruction and establishing data connection with the sending end;
the acquisition module is used for acquiring target data from the sending end according to the data transmission instruction after the first connection module is successfully connected with the sending end;
the second connection module is used for caching the target data and establishing data connection with the receiving end;
the sending module is used for sending the target data to the receiving end after the second connecting module is successfully connected with the receiving end.
Further, the acquisition module comprises an acquisition unit and an establishment unit;
the acquisition unit is used for acquiring each keyword contained in the transmission instruction;
the establishing unit is used for establishing a target task list according to the target data and adding the target task list to the target data.
Further, after the first connection module establishes data connection with the sending end, the cross-network transmission device is used as a server to be connected to a server of the sending end;
after the second connection module establishes data connection with the receiving end, the cross-network transmission device is used as a client to be connected to a server of the receiving end.
Further, after the first connection module establishes data connection with the sending terminal, the sending terminal sends a generated data packet and a message to the cross-network transmission device, where the data packet and the message have the screening conditions of the receiving terminal and the sending terminal.
Further, the screening condition exists in the data packet and the message in the form of a keyword.
Further, the keyword is a segment code.
The embodiment of the invention has the following beneficial effects:
the invention provides a cross-network data transmission method applied to a high-concurrency scene of a mass of terminals, which divides the cross-network data transmission process into data transmission between a sending end and a cross-network transmission device and data transmission between the cross-network transmission device and a receiving end so as to reduce the data transmission pressure of directly transmitting the receiving end from the sending end; meanwhile, the congestion state of the current network is judged by monitoring the first round-trip delay data and the second round-trip delay data through a BP neural network model, and the first transmission rate and the second transmission rate are obtained by adjusting the self-adaptive transmission rate according to the judgment result, so that the self-adaptive and scientific regulation and control of data cross-network transmission are realized, the efficiency of data cross-network transmission is improved, and the problem of congestion during data cross-network transmission is avoided.
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Fig. 1 is a schematic flowchart of a cross-network data transmission method applied to a high-concurrency scenario with a large number of terminals according to an embodiment of the present invention.
Detailed Description
The technical solutions in the present invention will be described clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a cross-network data transmission method applied to a high concurrency scenario with a large number of terminals, including the following steps:
step S101: acquiring first round-trip delay data between a sending end and a cross-network transmission device, transmitting the first round-trip delay data to a BP (back propagation) neural network model, so that the BP neural network model judges whether a current network is in a congestion state or not according to the first round-trip delay data, and generates a first transmission rate when the current network is judged to be in the congestion state.
And the cross-network transmission device caches the target data sent by the sending end according to the first transmission rate, and sends the target data to the receiving end according to the second transmission rate after caching is finished.
Step S102: and executing data transmission between the sending end and the cross-network transmission device according to the first transmission rate.
Step S103: and acquiring second round-trip delay data between the cross-network transmission device and a receiving end, and transmitting the second round-trip delay data to the BP neural network model so that the BP neural network model judges whether the current network is in a congestion state according to the second round-trip delay data, and generates a second transmission rate when the current network is judged to be in the congestion state.
As an embodiment, round trip delay detection transmission ports are arranged between the sending end and the cross-network transmission device and between the cross-network transmission device and the receiving end, so as to obtain the first round trip delay data and the second round trip delay data.
Step S104: and executing data transmission between the cross-network transmission device and a receiving end according to the second transmission rate.
As one embodiment, the adjusting the transmission rate determined as the congestion state to the first transmission rate specifically includes:
when the current network is in a congestion state, the generated first transmission rate is sent to the sending end, and the sending end adds a corresponding number of rate adjustment frames into a data packet for data transmission according to the first transmission rate and carries out data transmission according to the first transmission rate;
adjusting the transmission rate determined to be in the congestion state to a second transmission rate specifically includes:
when the current network is in a congestion state, the generated second transmission rate is sent to the receiving end, and the cross-network transmission device adds a corresponding number of rate adjustment frames into a data packet for data transmission according to the second transmission rate and performs data transmission according to the second transmission rate;
and when the current network is judged not to be in the congestion state, the current transmission rate is not changed.
As one embodiment, the BP neural network model comprises a three-layer neural network structure of an input layer, a hidden layer and an output layer. RTT data (i.e., the first round trip delay data or the second round trip delay data) is input to the input layer, and a hidden layer neuron and an output layer neuron activation function are set, and then an error of the output layer is calculated. Constructing the BP neural network according to the following steps:
firstly, a three-layer neural network structure with l inputs, r outputs and k hidden layer neurons is built. Input layer neuron vector representation as
Wherein x is 1 ,x i And x l The 1 st, ith and lth input layer neurons, respectively. Hidden layer neuron output vector representation as
Wherein s is 1 ,s h And s k The 1 st, h th and k th hidden layer neurons, respectively. Subsequently, the BP neural network is trained to define hidden layer neuron activation functions as
Output layer neuron activation function
Wherein x is i And s h Representing the input.
To determine the error between the output value and the actual value of the BP neural network, a loss function is defined
Wherein N is the number of samples, y is the output value of the neural network training sample, r is the dimension of the data,
to desired output, y r Outputs values for the r-th neuron training sample,
an output is expected for the r-th neuron. According to the direction of the negative gradient of the error, weightingAnd updating is carried out again. After the input samples and the expected output are given, iteration is repeatedly carried out on each input sample, and after all samples are trained, whether the index function meets the precision requirement is judged. And if the index function meets the precision requirement, stopping training, otherwise, retraining until the precision requirement is met. The BP neural network model analyzes the congestion state according to the RTT data (namely the first round-trip delay data or the second round-trip delay data), judges whether the current network is in the congestion state, generates a first transmission rate or a second transmission rate when judging that the current network is in the congestion state, and does not generate a new transmission rate when judging that the current network is not in the congestion state.
As one embodiment, the sending end obtains a data transmission instruction, establishes a target task list, adds the target task list to target data, and forms the target data into a data packet and a message to be sent;
and the cross-network transmission device determines a sending end and a receiving end corresponding to the target data according to the data transmission instruction, establishes data connection with the sending end, receives and caches the target data after the connection is successful, and establishes data connection with the receiving end. Specifically, when the connection is successful, the target data is cached in the cross-network transmission device, and when the caching is completed, the cross-network transmission device is used as a client to be connected to the server of the receiving end, so that the data connection with the receiving end is realized. The target data may exist in multiple numbers, and include a target task list and target data content, where the target task list stores an identifier corresponding to each target data, where the identifier is a number, or another preferred identifier;
and the receiving end feeds back the transmission result to the sending end, the sending end acquires each screening condition contained in the transmission instruction again, the sending end searches target data content matched with each keyword in a traversing way, compares the target data content with the fed-back transmission result, and resends the data if the data information is incomplete until the receiving end receives complete and accurate data information. The detection principle here is that after the receiving end is successfully connected and finishes data reception, the received data content may not be complete, and at this time, the transmitting end searches for the target data content matched with each keyword through traversal again, if the traversal result of the transmitting end is consistent with the transmission result fed back by the receiving end, it is indicated that the data received by the receiving end is complete, and if not, it is indicated that the data received by the receiving end is incomplete. Wherein the filtering condition exists in the form of a keyword, for example, the keyword is a segment code. When the data transmission instruction is received, the cross-network transmission device can be used as a client to be connected to a server of the sending end to realize the establishment of data connection with the sending end;
and when the connection fails, the receiving end returns failure information to the sending end, and the sending end is enabled to establish data connection with the cross-network transmission device again.
As one embodiment, the cross-network transmission device includes a first connection module, an acquisition module, a second connection module, and a sending module;
the first connection module is used for determining a sending end and a receiving end of data transmission according to a data transmission instruction and establishing data connection with the sending end;
the acquisition module is used for acquiring target data from the sending end according to the data transmission instruction after the first connection module is successfully connected with the sending end;
the second connection module is used for caching the target data and establishing data connection with the receiving end;
the sending module is used for sending the target data to the receiving end after the second connecting module is successfully connected with the receiving end.
The acquisition module comprises an acquisition unit and an establishment unit;
the acquisition unit is used for acquiring each keyword contained in the transmission instruction;
the establishing unit is used for establishing a target task list according to the target data and adding the target task list to the target data.
After the first connection module establishes data connection with the sending end, the cross-network transmission device is used as a server end to be connected to a server of the sending end;
after the second connection module establishes data connection with the receiving end, the cross-network transmission device is used as a client to be connected to a server of the receiving end.
After the first connection module establishes data connection with the sending end, the sending end sends a generated data packet and a message to the cross-network transmission device, wherein the data packet and the message have the screening conditions of the receiving end and the sending end.
The invention innovatively provides a cross-network transmission device, which caches target data and performs data connection with a receiving end, and a sending end searches target data content matched with each keyword through traversing the sending end by adopting various screening conditions in a transmission instruction based on a transmission result fed back by the receiving end, and retransmits the data until the receiving end receives complete and accurate data information. When the connection fails, the task data is updated and retransmitted, so that the integrity and the accuracy of transmission are effectively ensured. In addition, due to the adoption of the fixed transmission device, the problem that data loss or transmission failure can be caused if the mobile storage medium is unstable when the mobile storage medium is adopted for data transmission is solved.
The invention introduces a BP-based neural network, utilizes RTT as a parameter for controlling congestion of the BP neural network, generates a new transmission rate after analyzing the congestion situation based on an output layer of the BP neural network, changes the transmission rate of a data packet and a message according to the transmission rate by a sending end, and does not change the current transmission rate if the sending end is not in the congestion state, thereby realizing the self-adaption and scientific regulation and control of data cross-network transmission, improving the efficiency of data cross-network transmission and avoiding the congestion problem when the data cross-network transmission is carried out.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
It will be understood by those skilled in the art that all or part of the processes of the above embodiments may be implemented by hardware related to instructions of a computer program, and the computer program may be stored in a computer readable storage medium, and when executed, may include the processes of the above embodiments. The storage medium may be a magnetic disk, an optical disk, a Read-only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (10)
1. A cross-network data transmission method applied to a high-concurrency scene of a mass of terminals is characterized by comprising the following steps:
acquiring first round-trip delay data between a sending end and a cross-network transmission device, transmitting the first round-trip delay data to a BP (back propagation) neural network model, so that the BP neural network model judges whether a current network is in a congestion state or not according to the first round-trip delay data, and generates a first transmission rate when the current network is judged to be in the congestion state;
executing data transmission between the sending end and the cross-network transmission device according to the first transmission rate;
acquiring second round-trip delay data between the cross-network transmission device and a receiving end, transmitting the second round-trip delay data to the BP neural network model so that the BP neural network model judges whether the current network is in a congestion state or not according to the second round-trip delay data, and generating a second transmission rate when the current network is judged to be in the congestion state;
and executing data transmission between the cross-network transmission device and a receiving end according to the second transmission rate.
2. The cross-network data transmission method applied to high-concurrency scenes of massive terminals according to claim 1, wherein the cross-network transmission device caches the target data sent by the sending end according to the first transmission rate, and sends the target data to the receiving end according to the second transmission rate after caching is finished.
3. The method for transmitting cross-network data applied to high-concurrency scenes of massive terminals according to claim 2, wherein the step of adjusting the transmission rate determined to be in the congestion state to a first transmission rate specifically comprises the steps of:
when the current network is in a congestion state, the generated first transmission rate is sent to the sending end, and the sending end adds a corresponding number of rate adjustment frames into a data packet for data transmission according to the first transmission rate and performs data transmission according to the first transmission rate;
adjusting the transmission rate determined to be in the congestion state to a second transmission rate specifically includes:
and when the current network is in a congestion state, the generated second transmission rate is sent to the receiving end, and the cross-network transmission device adds a corresponding number of rate adjustment frames into a data packet for data transmission according to the second transmission rate and performs data transmission according to the second transmission rate.
4. The method according to claim 3, wherein the round-trip delay data is obtained by setting a round-trip delay detection transfer port between the sending end and the cross-network transmission device and between the cross-network transmission device and the receiving end.
5. The cross-network data transmission method applied to high-concurrency scenes of massive terminals according to claim 4, wherein the cross-network transmission device comprises a first connection module, an acquisition module, a second connection module and a sending module;
the first connection module is used for determining a sending end and a receiving end of data transmission according to a data transmission instruction and establishing data connection with the sending end;
the acquisition module is used for acquiring target data from the sending end according to the data transmission instruction after the first connection module is successfully connected with the sending end;
the second connection module is used for caching the target data and establishing data connection with the receiving end;
the sending module is used for sending the target data to the receiving end after the second connecting module is successfully connected with the receiving end.
6. The cross-network data transmission method applied to high-concurrency scenes of massive terminals according to claim 5, wherein the acquisition module comprises an acquisition unit and an establishment unit;
the acquisition unit is used for acquiring each keyword contained in the transmission instruction;
the establishing unit is used for establishing a target task list according to the target data and adding the target task list to the target data.
7. The cross-network data transmission method applied to high-concurrency scenes of massive terminals according to claim 6, wherein after the first connection module establishes data connection with the sending end, the cross-network transmission device is used as a server end to be connected to a server of the sending end;
after the second connection module establishes data connection with the receiving end, the cross-network transmission device is used as a client to be connected to a server of the receiving end.
8. The method according to claim 7, wherein after the first connection module establishes the data connection with the sending end, the sending end sends a generated data packet and a message to the cross-network transmission device, and the data packet and the message have the screening conditions of the receiving end and the sending end.
9. The method for transmitting data across networks applied to high-concurrency scenarios of massive terminals according to claim 8, wherein the screening condition exists in the data packets and the messages in a form of keywords.
10. The method for transmitting data across networks applied to high-concurrency scenes of massive terminals according to any one of claims 1 to 9, wherein the keyword is a field code.
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| CN115499899A (en) * | 2022-11-21 | 2022-12-20 | 国网天津市电力公司电力科学研究院 | Communication time delay testing method and device of edge Internet of things agent device and storage medium |
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