Information transmission method and system based on secure network

By evaluating and dynamically adjusting the information transmission path in real time, combined with an information temporary storage and rollback strategy, the problem of transmission failure caused by unstable device nodes during information transmission was solved, thus achieving reliable, secure, and efficient information transmission.

CN121619283BActive Publication Date: 2026-04-10江西普联信息技术有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-30
Publication Date
2026-04-10

AI Technical Summary

Technical Problem

The existing information transmission mechanism fails to dynamically adjust to node performance fluctuations or environmental degradation, leading to an increased risk of transmission failure. Furthermore, the lack of an information rollback mechanism may result in information loss or delay.

Method used

By evaluating the transmission environment of information transmission equipment in real time, dynamically replacing unsuitable equipment, and adopting information temporary storage and rollback strategies and equipment load monitoring, information is ensured to be transmitted under optimal network conditions. This includes a comprehensive evaluation of equipment status, network environment, and historical data, and the use of deep learning models for scoring and path optimization.

Benefits of technology

It improves the reliability and efficiency of information transmission, reduces the risk of transmission failure and delay, ensures that information arrives at its destination intact, and optimizes the utilization of network resources.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses an information transmission method and system based on a secure network, and relates to the technical field of information transmission.A kind of information transmission system based on secure network, including: information transmission initial module and information transmission redistribution module.The application ensures that information is always transmitted through the device with better environment by evaluating the transmission environment score of information transmission device in real time, avoids transmitting information in unstable or vulnerable nodes;By using information temporary storage fallback mechanism when the device is not confirmed to receive, avoid information loss, improve transmission success rate, ensure information complete arrival destination;When the processing capacity of a device reaches the upper limit, automatically analyze its information set to be processed, and coordinate downstream devices to reasonably distribute, thereby preventing transmission bottleneck or delay.
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Description

TECHNICAL FIELD

[0001] The present application relates to the field of information transmission technology, and in particular to an information transmission method and system based on a secure network. BACKGROUND

[0002] Traditional information transmission mechanisms rely on fixed routing or static path selection, ignoring real-time changes in the running state of devices in the network and the transmission environment, resulting in forced transmission when node performance fluctuates or the environment deteriorates, increasing the risk of transmission failure. In a transmission chain with multiple devices in series, if the load of an intermediate node is too high, it may cause processing delays or even information congestion. Existing technologies lack dynamic detection and response mechanisms for this problem. When information fails to reach the target device, existing technologies often cannot respond in time to retransmit, which may cause information loss or transmission delays.

[0003] Therefore, for information transmission scenarios based on secure networks, it is necessary to evaluate and replace devices that are not suitable for transmission in real time to ensure dynamic optimization of information links. At the same time, information temporary storage and fallback strategies and device processing load monitoring mechanisms are set up to respond in time when information is not confirmed to be received or the device load exceeds the limit, ensuring reliable, secure, and efficient transmission of information and fundamentally improving the intelligence of existing information transmission systems. SUMMARY

[0004] The present application aims to provide an information transmission method and system based on a secure network to improve the security, reliability, and efficiency of information transmission.

[0005] An information transmission method based on a secure network, comprising the following steps:

[0006] Obtain the information to be processed, the information sending device, and the current information transmission chain, which contains N information transmission devices B n , n = 1, 2, …, N; in the current information transmission chain, information transmission is prioritized based on the order of n values; the information to be processed is processed once by the information transmission device B n , and the output is the information to be transmitted D n .

[0007] In the current information transmission chain, before the transmission of the information to be transmitted D n-1 , for the information transmission device B n , judge the information transmission environment H n of the information transmission device B n to obtain the information transmission environment score F n ; when the information transmission environment score F n is lower than the preset transmission threshold, skip the information transmission device B nSelect the best candidate information transmission device B within the current information transmission environment. n Replace information transmission device B n ;

[0008] Information to be transmitted D n-1 After transmission, if information transmission device B n Failed to confirm receipt of the information to be transmitted within the specified time D n-1 If so, an information temporary storage and rollback strategy is adopted to re-treat the transmitted information D. n-1 To transmit information;

[0009] When information transmission device B n When the information processing load exceeds the limit, obtain information transmission device B. n The set of information to be transmitted B n (Y), Y={Y m |m=1,2,…,M}, based on the set of information to be transmitted B n (Y) Determine the set of information Y to be transmitted. m The current information transmission equipment and downstream information transmission equipment.

[0010] As a preferred technical solution of the present invention, for information transmission device B n Determine information transmission device B n Information transmission environment H n The specific steps include:

[0011] Acquisition of information transmission device B n Device status data, network environment data, link stability data, and historical transmission data;

[0012] Output device availability score based on device status data; output device network environment score based on network environment data; output device link stability score based on link stability data; output device historical trust score based on historical transmission data.

[0013] Based on a comprehensive assessment of equipment availability score, equipment network environment score, equipment link stability score, and equipment historical trust score, an information transmission environment score F is output. n .

[0014] As a preferred technical solution of the present invention, a superior information transmission candidate device B is selected within the current information transmission environment. n Replace information transmission device B n The specific steps include:

[0015] Information transmission device B n All alternative information transmission devices;

[0016] calculate the topological similarity between each candidate information transmission device and information transmission device B n and information transmission device B n+1 , obtaining a candidate path similarity index;

[0017] predict the information transmission processing growth trend of each candidate information transmission device, obtaining a candidate path processing capacity index;

[0018] select the candidate information transmission device corresponding to the maximum candidate path processing capacity index and the maximum candidate path similarity index from all candidate information transmission devices as the information transmission candidate device B n ', replacing the original information transmission device B n .

[0019] As a preferred technical solution of the present application, the specific steps of the information temporary storage rollback strategy include:

[0020] When information transmission device B n does not confirm the reception of the to-be-transmitted information D n-1 within a specified time, the to-be-transmitted information D n-1 is temporarily stored in the information transmission buffer queue;

[0021] In the information transmission buffer queue, the priority of the to-be-transmitted information D n-1 is judged, obtaining the to-be-transmitted information priority X n-1 ;

[0022] continue to judge the current information transmission environment score F n ' of information transmission device B n , predict the information retransmission recovery probability based on the current information transmission environment score F n ';

[0023] based on the predicted information retransmission recovery probability and the to-be-transmitted information priority X n-1 , identify the preset retransmission number, and retransmit the to-be-transmitted information D n-1 with the preset retransmission number.

[0024] As a preferred technical solution of the present application, based on the to-be-transmitted information set B n (Y), the specific steps of judging the current information transmission device and the downstream information transmission device of the set to-be-transmitted information Y m include:

[0025] based on the to-be-transmitted information set B n (Y), predict the load growth trend of information transmission device B n ;

[0026] if the load growth trend is within a first critical range, the to-be-transmitted information set Bn The set of to-be-transmitted information Y in (Y) m Task type classification is performed, and the set of to-be-transmitted information Y is re-allocated based on different task type classification m Downstream information transmission device

[0027] If the load growth trend is within the second critical range, the set of to-be-transmitted information B n The set of to-be-transmitted information Y in (Y) m Priority judgment is performed, and the set of to-be-transmitted information Y is re-allocated based on priority m The information transmission order in the set of to-be-transmitted information Bn(Y) is re-allocated based on priority, and information transmission is performed in the information transmission device B n .

[0028] As a preferred technical solution of the present application, a pre-trained deep learning model is used to output device availability scores, device network environment scores, device link stability scores, and device historical trust scores.

[0029] An information transmission system based on a secure network, comprising:

[0030] An information transmission initial module, comprising a transmission setting unit, configured to obtain to-be-processed transmission information, an information sending device, and a current information transmission chain, wherein the current information transmission chain comprises N information transmission devices B n , n=1, 2, …, N; in the current information transmission chain, information transmission is preferentially performed based on the order of n values; the to-be-processed transmission information is processed once by the information transmission device B n , and to-be-transmitted information D n is output.

[0031] An information transmission re-allocation module, comprising a transmission target allocation unit, a transmission retransmission detection unit, and a transmission task re-allocation unit; the transmission target allocation unit is configured to, before transmission of the to-be-transmitted information D n-1 , in the current information transmission chain, judge, for the information transmission device B n , an information transmission environment H n of the information transmission device B n , to obtain an information transmission environment score F n ; when the information transmission environment score F n is lower than a preset transmission threshold, the information transmission device B n is skipped, and a better information transmission candidate device B n ’ within the current information transmission environment is selected to replace the information transmission device B n ; the transmission retransmission detection unit is configured to, after transmission of the to-be-transmitted information D n-1 , if the information transmission device B nThe information D to be transmitted is not confirmed to be received within a specified time n-1 The information D to be transmitted is not confirmed to be received within a specified time n-1 The information transmission method comprises the following steps: n The information transmission method comprises the following steps: n The information transmission method comprises the following steps: n The information transmission method comprises the following steps: m The information transmission method comprises the following steps: n The information transmission method comprises the following steps: m The information transmission method comprises the following steps:

[0032] The information transmission method comprises the following steps:

[0033] 1. The information transmission method comprises the following steps:

[0034] 2. The information transmission method comprises the following steps: BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 The information transmission method comprises the following steps: DETAILED DESCRIPTION

[0036] In order to better understand the technical solutions in the present application, the following will describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings.

[0037] Embodiment 1: An information transmission method based on a secure network, comprising the following steps:

[0038] The information transmission method comprises the following steps: nn=1, 2, ..., N; In the current information transmission chain, information is transmitted preferentially based on the order of the n values; The information to be processed and transmitted is passed through information transmission device B. n Perform one information processing step and output the information to be transmitted, D. n ;

[0039] Information transmission equipment is an Internet of Things (IoT) device. When multiple IoT devices on a secure network need to interact, the information to be transmitted needs to be processed by multiple IoT devices before being sent to the next IoT device. In an information transmission chain, multiple IoT devices cooperate to process the information to be transmitted in sequence to obtain the final processed information. The secure network refers to the trustworthiness and protection of the data and access layers, with security protection mechanisms such as authentication mechanisms, encrypted transmission, access control, network isolation, or firewalls. However, this does not mean that the current information transmission process is always in the best transmission state. Although it is in a secure network, problems such as network outages, retransmissions, and device replacements may still occur. This is because IoT devices operate in a complex, dynamic, and resource-constrained physical environment in reality.

[0040] Based on the actual information processing needs of the information to be transmitted, a set of all online, authenticated IoT devices is obtained. These devices must be in the same secure network. By comprehensively evaluating the network connectivity, processing power, data type compatibility, and task objectives of each device, an optimal logical link is constructed as the current information transmission link. The current information transmission link will be updated according to the dynamic changes in the information transmission scenario during the information transmission process.

[0041] Here, the number 'n' does not necessarily represent the physical address or access order of the information transmission devices, but rather the priority order assigned based on the roles and processing tasks of the information transmission devices during the construction of the information transmission chain. For example, information transmission device B1 may be specifically used for preliminary cleaning, B2 for format conversion, B3 for feature calculation, etc., and these devices are arranged sequentially according to their capabilities and status (such as load, online status, and remaining energy consumption).

[0042] In the current information transmission chain, the information to be transmitted, D n-1 Before transmission, for information transmission device B n Determine information transmission device B n Information transmission environment H n The information transmission environment score F was obtained. n When the information transmission environment score is F n When the threshold is lower than the preset transmission threshold, skip information transmission device B. n Select the best candidate information transmission device B within the current information transmission environment. n Replace information transmission device Bn ;

[0043] For information transmission device B n , judge information transmission environment H n of information transmission device B n The specific steps include:

[0044] Obtain device state data, network environment data, link stability data and historical transmission data of information transmission device B n ;

[0045] Output device availability score based on device state data; output device network environment score based on network environment data; output device link stability score based on link stability data; output device historical trust score based on historical transmission data; output device availability score, device network environment score, device link stability score and device historical trust score using pre-trained deep learning model;

[0046] According to the comprehensive judgment of device availability score, device network environment score, device link stability score and device historical trust score, output information transmission environment score F n ;

[0047] Device state data represents the physical running state of the device itself, including current CPU utilization, memory occupancy, battery capacity, temperature state, whether it is active / standby and other information, which is used to reflect whether the device currently has the ability to continue processing or forwarding data; Network environment data represents the current network quality of information transmission device B n , including signal strength, packet loss rate, average RTT (round trip time), current bandwidth availability and other information, which is used to judge whether the device can stably and quickly receive and forward data; Link stability data represents the connection relationship quality between information transmission device B n and the next hop device, that is, the connection relationship quality between information transmission device B n-1 and information transmission device B n+1 , including link available time proportion, recent several times of communication failure rate, link recovery time, connection disconnection frequency and other information, which is used to judge whether information transmission device B n as a link intermediate node can normally receive information and forward information; Historical transmission data represents the behavior record of information transmission device B n participate in transmission task in the past, including the number of successful reception / sending tasks, the number of timeouts, transmission interruption records, whether there is abnormal data behavior and other information, which is used to reflect the behavior credibility and predictability of the device.

[0048] A pre-trained deep learning model is used to automatically extract features from device status data, network environment data, link stability data, and historical transmission data, and generate corresponding scores. These scores are then fused into an information transmission environment score F. n ;

[0049] The pre-trained deep learning model is a multi-input branching model, where each type of data is treated as an input channel, processed separately, and then fused. It can be achieved by concatenating four separately trained encoders, followed by a fully connected layer to output the information transmission environment score F. n ;

[0050] The training and validation sets for different encoders are obtained from: simulating a large number of device states and link scenarios through a simulation platform, with professional technicians manually labeling and scoring information; and collecting various status data of information transmission devices under different tasks from actual deployed IoT systems, with manual or automatic labeling and scoring information such as success rate, retransmission frequency, and processing latency.

[0051] The training set is categorized, with different encoders corresponding to different training samples. The target value of each sample is the data score for the corresponding category, namely, device availability score, device network environment score, device link stability score, and device historical trust score. A loss function for the encoder is set. When the loss function on the validation set does not decrease for A consecutive rounds and the validation set score stably reaches the designed training threshold, training is stopped, and the pre-trained encoders are output to form a pre-trained deep learning model. The specific value of A is set manually. The scores output by various encoders are standardized and then weighted and fused to obtain the final information transmission environment score. The weights are set manually.

[0052] Select the best candidate information transmission device B within the current information transmission environment. n Replace information transmission device B n The specific steps include:

[0053] Acquisition of information transmission device B n All alternative information transmission devices;

[0054] Obtain information about the current information transmission environment and information transmission device B. n Information transmission devices with the same processing capabilities, and capable of operating with information transmission device B. n-1 and information transmission equipment B n+1 An information transmission path exists to avoid chain interruptions, serving as an alternative information transmission device;

[0055] For each candidate information transmission device, calculate and configure information transmission device B. n and information transmission equipment B n+1 The topological similarity between the paths is used to obtain the similarity index of the alternative paths.

[0056] The purpose of calculating the topology similarity is to select an information transmission candidate device that is closest to the original chain in structure, reduce the overhead of link structure change, path reconstruction, etc. caused by replacement, and increase the cost of information transmission. The specific steps include: first, obtaining the link delay, hop count, and connection stability of the information transmission device B n to the information transmission device B n+1 , and constructing the original path feature vector; then obtaining the new path feature vector formed after the information transmission candidate device B n replaces the information transmission device B n , and calculating the similarity (such as using Euclidean distance or cosine similarity) between the two; at the same time, evaluating whether additional hop count or path re-routing is needed after the information transmission candidate device B n joins; finally, weighting and integrating these factors into a topology similarity score, with a higher score indicating that the information transmission candidate device B n is closer to the original chain structure in topology and has less interference on the transmission chain.

[0057] The information transmission processing growth trend of each alternative information transmission device is predicted to obtain an alternative path processing capacity index. The purpose of predicting the information transmission processing growth trend of each alternative information transmission device is to predict which alternative device has stronger processing capacity at the next moment, rather than just looking at the current idle state. The specific method is as follows: first, collecting the current task queue length, task arrival rate per unit time, and average task processing time of the alternative information transmission device; then using time series methods such as exponential moving average (EMA) to predict the short-term trend of the task arrival rate per unit time and the average task processing time, obtaining their growth trend at future time; then combining the predicted values with the current available computing resources (such as CPU utilization) to calculate the load index of the device within a future time window; finally, normalizing the score according to the information transmission capacity index reflected by the load index, with a higher score representing stronger future processing capacity. In summary, this prediction method models the short-term processing capacity change of the device through historical behavior, identifies possible bottleneck nodes in advance, and thus selects the candidate device that is most suitable for information transmission at the next moment, without causing link congestion and increasing the current information transmission rate;

[0058] From all the alternative information transmission devices, the alternative information transmission device corresponding to the maximum alternative path processing capacity index and the maximum alternative path similarity index is selected as the information transmission candidate device B n '; the original information transmission device B n is replaced; before the transmission of the to-be-transmitted information D n-1 , the to-be-transmitted information D n-1 will not be processed or cached in the information transmission device B n , avoiding redundancy and conflict.

[0059] Information to be transmitted D n-1 After transmission, if information transmission device B n Failed to confirm receipt of the information to be transmitted within the specified time D n-1 If so, an information temporary storage and rollback strategy is adopted to re-treat the transmitted information D. n-1 To transmit information;

[0060] The specific steps for adopting the information temporary storage and rollback strategy include:

[0061] When information transmission device B n Failed to confirm receipt of the information to be transmitted within the specified time D n-1 At that time, the information to be transmitted, D n-1 Temporarily stored in the information transmission buffer queue; the information transmission buffer queue is used to temporarily store unacknowledged information to be transmitted due to reception failure. It represents a dynamic caching mechanism with classification management, priority scheduling and retransmission control capabilities. It can intelligently sort the buffered information, optimize processing delays and apply retransmission strategies to ensure that the information is delivered as reliably as possible without being immediately discarded when the link is unstable; the specified time is set manually.

[0062] In the information transmission buffer queue, the information D to be transmitted... n-1 Perform a priority determination to obtain the priority X of the information to be transmitted. n-1 ;

[0063] The specific steps for priority determination are as follows: collect the information to be transmitted, D. n-1 The system includes indicators such as task type, importance level, time-to-live (TTL), source device level, and security level; a scoring model is defined to assign weights to each indicator, mapping the score to a priority value range between [0, 1], with higher priority values ​​closer to 1.

[0064] A scoring model is constructed, and a scoring function corresponding to each indicator (task type, importance level, TTL, source device level, security level, etc.) is defined, for example, by normalizing or standardizing the value of each indicator to the interval [0, 1], and assigning a weight to each indicator, which can be set according to the importance of the task or historical experience; the model is trained, and historical transmission data is used as the training set, where each data sample includes the indicators of the information to be transmitted and its actual transmission success rate or importance (i.e. priority label); through a supervised learning algorithm (such as linear regression, decision tree, support vector machine, etc.), learn how to predict the priority of information according to the values of various indicators; the collection of the training set can be completed by simulation scenarios or real running data, in the simulation scenarios, various task types, priorities and device states can be randomly generated, or historical data of transmitted tasks can be collected from actual Internet of Things systems, including success rate, loss rate, processing time, etc. Information for labeling priority labels, these data will be used to train the model, so as to generate a scoring model that can be used for real-time priority evaluation;

[0065] Continue to judge the current information transmission environment score F n of the information transmission device B n , predict the information retransmission recovery probability based on the current information transmission environment score F n ; The goal of predicting the information retransmission recovery probability is to determine how likely the information will be successfully received if it is attempted to be retransmitted now. The specific steps are as follows: based on the current information transmission environment score F n ', use logistic regression, Bayesian estimation or light neural network to predict the probability, and obtain the predicted information retransmission recovery probability;

[0066] The goal of predicting the information retransmission recovery probability is to evaluate the probability of successful reception if the information is immediately retransmitted based on the current device environment score F n '; To achieve this prediction, a supervised learning model (such as logistic regression, Bayesian estimation or light neural network) can be constructed, and its training relies on a large number of information transmission records collected as a training set. These records should include the device environment score F n ' before each transmission attempt, network state parameters (such as signal strength, delay, packet loss rate), device load state, and whether the retransmission is successful (as label 0 / 1); by training the model to learn the correspondence between "environment state features" and "retransmission results", the prediction of future retransmission success probability can be achieved; the training set can be derived from the log data in the actual running process of the system, or a large number of transmission scenarios under different network and device states can be generated in a simulation environment to enhance the generalization ability of the model; the training goal is to minimize the error between the predicted probability and the actual result, so that the model can quickly and accurately evaluate the information recovery probability in the current environment during runtime.

[0067] based on the predicted information retransmission recovery probability and the priority X of the to-be-transmitted information n-1 identify a preset retransmission number for the to-be-transmitted information D n-1 perform retransmission;

[0068] The specific steps of identifying the preset retransmission number based on the predicted information retransmission recovery probability include:

[0069] match the first information transmission retransmission strategy, the second information transmission retransmission strategy and the third information transmission retransmission strategy based on the predicted information retransmission recovery probability;

[0070] In the first information transmission retransmission strategy, the retransmission number is set as P1; in the second information transmission retransmission strategy, the retransmission number is set as P2; in the third information transmission retransmission strategy, the retransmission number is set as P3; the specific values of P1, P2 and P3 are set by human beings, the greater the predicted information retransmission recovery probability, the smaller the retransmission number; on the contrary, the smaller the predicted information retransmission recovery probability, the greater the retransmission number; avoid invalid retransmission in low probability situation, reduce energy consumption and network congestion;

[0071] based on the priority X of the to-be-transmitted information n-1 weight the retransmission number P1, P2 or P3 to obtain a new retransmission number P1', P2' or P3'; use the new retransmission number P1', P2' or P3' as the preset retransmission number for the to-be-transmitted information D n-1 perform retransmission until the information transmission device B n confirm the reception of the to-be-transmitted information D n-1 .

[0072] For high-priority tasks, even if the recovery probability is low, more retransmissions can be tolerated, and for low-priority tasks, the opposite is true; the beneficial effect of this setting is that it achieves a dynamic balance between resource utilization and transmission success rate: by adjusting the retransmission number according to the recovery probability, unnecessary retransmissions can be avoided when the network state is good, thereby saving bandwidth and energy consumption; when the network state is poor, the retransmission number is allowed to be increased moderately to improve the chances of information transmission success; at the same time, the priority factor is introduced, so that high-importance tasks can get more resource guarantee at critical moments, while low-priority tasks can be controlled to reduce retransmission frequency, avoiding the occupation of system channels; this strategy not only improves the transmission reliability of critical data, but also reduces conflicts, congestion and energy consumption in the overall communication process, which helps to enhance the stability, flexibility and intelligent adaptive ability of the Internet of Things system in complex and dynamic environments.

[0073] When the information transmission device B n exceeds the upper limit of information processing load, acquire the information transmission device B nThe set of information to be transmitted B n (Y), Y={Y m |m=1,2,…,M}, based on the set of information to be transmitted B n (Y) Determine the set of information Y to be transmitted. m Current information transmission equipment and downstream information transmission equipment;

[0074] The setting and determination of the information processing load limit are based on the real-time processing capacity of the equipment, the task queue length, and the consumption of computing resources. The information processing load limit is typically determined by the hardware specifications of the information transmission equipment and its current load status (such as CPU utilization and memory utilization). Specific determination methods include monitoring information transmission equipment B. n The system measures information processing time, queue length, and the number of information transmission tasks per unit time. Once the information transmission device's processing time exceeds a predetermined threshold or the task queue backlog exceeds the maximum capacity, the device's load is considered to be above the limit, triggering load optimization measures. The load limit value can be obtained through historical data and system capacity testing, or dynamically adjusted based on the device's performance under high load conditions, and is specifically set manually. For example, in actual operation, the load limit threshold can be dynamically adjusted based on response time and task completion status to adapt to constantly changing environment and task requirements.

[0075] Based on the set of information to be transmitted B n (Y) Determine the set of information Y to be transmitted. m The specific steps for the current information transmission equipment and downstream information transmission equipment include:

[0076] Based on the set of information to be transmitted B n (Y), Predictive Information Transmission Device B n The trend of increasing load;

[0077] Set of information to be transmitted B n (Y) Perform feature extraction based on the extracted set of information to be transmitted, B. n (Y) Features are used to determine the load, and the prediction method is time series analysis. Regression analysis is used to model parameters such as the task processing rate and queue length of the equipment to predict load changes in the future.

[0078] If the load growth trend is within the first critical range, then the set of information to be transmitted, B... n The set of information Y to be transmitted in (Y) m Task types are categorized, and based on these categories, the set of information Y to be transmitted is reallocated. m Downstream information transmission equipment;

[0079] The purpose of task type classification is to classify the information Y to be transmitted in the set.m The different properties and processing resource requirements of the data will combine the information Y to be transmitted. m The information is categorized to more efficiently allocate it to the appropriate devices; the specific steps include: first, identifying the set B of information to be transmitted. n Each set of information Y to be transmitted in (Y) m Task types can be categorized based on processing requirements, data types, computational complexity, and other criteria. For example, they can be classified as: compute-intensive tasks, data transfer tasks, storage-intensive tasks, and real-time tasks. Compute-intensive tasks typically involve a large amount of data computation and processing logic, consuming significant CPU resources, but with relatively moderate data transfer volume and generally high tolerance for latency. Data transfer tasks primarily involve large-scale data movement, consuming large and frequent bandwidth and requiring a stable, high-throughput network environment, but with lower reliance on computing resources. Storage-intensive tasks mainly involve writing and caching large amounts of data, demanding high local storage I / O performance and cache space; while the information transfer frequency may not be high, they require continuous and complete processing. Integrity requirements are strict; while real-time tasks emphasize low latency and fast response, typically involving small data volumes and time-sensitive control commands or status updates. Although the computational and bandwidth loads are lighter, they are highly sensitive to latency jitter in the transmission link. Based on these characteristics, the most suitable device and path can be flexibly selected according to the task type to optimize overall resource utilization and task completion efficiency, and tasks can be reallocated to devices with appropriate loads that can meet specific task requirements to achieve load balancing and resource optimization. The criteria for classifying task types can be based on multiple dimensions such as task priority, processing requirements, and timeliness, or can be automatically identified and adjusted through historical data analysis.

[0080] If the load growth trend is within the second critical range, then the set of information to be transmitted, B... n The set of information Y to be transmitted in (Y) m Priority determination is performed based on the set of information Y to be transmitted. m Priority reallocation of the set of information to be transmitted, B n The information transmission order in (Y) is as follows in information transmission device B. n Information transmission is carried out in the process;

[0081] The first critical range is the load threshold that the information transmission device cannot bear. When the load prediction exceeds this threshold, the device cannot continue to work stably, which may cause task loss or delay. Therefore, the first critical range is set to the maximum percentage of the device processing capacity, for example, 80-90%. If the load growth trend exceeds this range, the task type division and redistribution strategy is triggered to avoid device overload. The second critical range is the normal working range of the device. Within this range, the device can still effectively process tasks, but may face certain performance degradation, and the load growth trend will not affect the completion of the task. Therefore, the second critical range is set to the range between the medium percentage of the device processing capacity, for example, 60-80%. Based on the first and second critical ranges, it can be predicted in real time whether the device can bear the future load, and the appropriate redistribution strategy is selected according to the load condition.

[0082] In this embodiment, optimization is carried out based on three different situations of information transmission. The first is the pre-judgment and selection problem of the target device when the information has not been transmitted. When it is detected that the environment score of the current target device is insufficient, there may be risks such as unstable network, insufficient computing resources or unreliable link, etc. Therefore, the device is actively skipped, and a more suitable and stable candidate device in the current environment is selected as the transmission receiver, so as to ensure that the information flow enters a more reliable link node. The beneficial effect of this method is that it effectively avoids the subsequent failure caused by sending data to a low-quality node, and improves the link stability and transmission success rate.

[0083] The second mainly deals with the abnormal situation that the information has been transmitted but no confirmation has been received. At this time, the information is not immediately discarded or reselected in the information transmission device. Instead, the information is cached in the local temporary queue, and the environment score of the current target device and the task priority are combined to dynamically judge whether to resend and the resend frequency. The beneficial effect of this method is that through intelligent temporary storage and probability judgment, it avoids resource waste caused by blind retransmission, and retains the transmission possibility of data under unstable network conditions, thereby improving the data success rate under overall network recovery.

[0084] The third is mainly used in the scenario that the current device itself cannot efficiently process all tasks due to excessive task processing amount and prolonged processing time. It analyzes the information type and priority in the task queue, and transfers part of the tasks to other suitable devices for processing after type classification or priority sorting, or adjusts the internal execution order of the device. The beneficial effect of this method is that it prevents processing bottlenecks caused by device overload through a dynamic task rescheduling mechanism, realizes flexible allocation of resources and in-chain load balancing, and effectively improves the processing efficiency and system response speed of the overall link.

[0085] Embodiment 2, an information transmission system based on a secure network, as shown in Figure 1The method is shown, comprising:

[0086] The information transmission initial module comprises a transmission setting unit, which is used to obtain to-be-processed transmission information, information sending equipment and a current information transmission chain, the current information transmission chain comprising N information transmission equipment B n , n=1, 2, …, N; in the current information transmission chain, information transmission is preferentially based on the order of the n value; the to-be-processed transmission information is processed once by the information transmission equipment B n , and to-be-transmitted information D n is output.

[0087] The information transmission re-allocation module comprises a transmission target allocation unit, a transmission retransmission detection unit and a transmission task re-allocation unit; the transmission target allocation unit is used to, before the transmission of the to-be-transmitted information D n-1 , judge the information transmission equipment B n , obtain the information transmission environment H n of the information transmission equipment B n , and obtain an information transmission environment score F n ; when the information transmission environment score F n is lower than a preset transmission threshold, the information transmission equipment B n is skipped, and a better information transmission candidate equipment B n ’ in the current information transmission environment is selected to replace the information transmission equipment B n ; the transmission retransmission detection unit is used to, after the transmission of the to-be-transmitted information D n-1 , if the information transmission equipment B n does not confirm the reception of the to-be-transmitted information D n-1 within a specified time, an information temporary storage rollback strategy is adopted to re-process the information transmission of the to-be-transmitted information D n-1 ; the transmission task re-allocation unit is used to, when the information transmission equipment B n exceeds an upper limit of information processing load, obtain a to-be-transmitted information set B n (Y) of the information transmission equipment B n , Y={Y m |m=1, 2, …, M}, judge the current information transmission equipment and the downstream information transmission equipment of the set to-be-transmitted information Y m based on the to-be-transmitted information set B n (Y).

[0088] It should be understood that, for those skilled in the art, improvements or changes can be made according to the above description, and all these improvements and changes shall belong to the protection scope of the appended claims of the present application. The parts not described in detail in the specification belong to the prior art known by those skilled in the art.

Claims

1. A method for information transmission based on a secure network, characterized in that, The method comprises the following steps: Obtaining to-be-processed transmission information, information sending device and current information transmission chain, the current information transmission chain contains N information transmission devices B n , n = 1, 2, …, N; In the current information transmission chain, information transmission is prioritized based on the order of n values; the information to be processed is passed through information transmission device B n for one information processing, outputting the information to be transmitted D n ; In the current information transmission chain, the information to be transmitted, D n-1 Before transmission, for information transmission device B n Determine information transmission device B n Information transmission environment H n The information transmission environment score F was obtained. n When the information transmission environment score is F n When the threshold is lower than the preset transmission threshold, skip information transmission device B. n Select the best candidate information transmission device B within the current information transmission environment. n Replace information transmission device B n ; The information D to be transmitted is received by the information transmission device B n-1 After the transmission, if the information transmission device B does not confirm the reception of the information D to be transmitted within a specified time n The information transmission device B adopts the information temporary storage fallback strategy and retransmits the information D to be transmitted n-1 The information transmission device B adopts the information temporary storage fallback strategy and retransmits the information D to be transmitted n-1 ​ When the information transmission device B n exceeds the upper limit of the information processing load, the information transmission device B n acquires the set of information to be transmitted B n (Y), Y={Y m |m=1, 2, …, M}, judges the current information transmission device and the downstream information transmission device based on the set of information to be transmitted B n (Y), and transmits the information to be transmitted Y m to the downstream information transmission device. selecting a better information transmission candidate device B in the current information transmission environment n replacing the information transmission device B n The specific steps include: Acquisition information transmission device B n all alternative information transmission devices; calculating a topological similarity between each alternative information transmission device and information transmission device B n and information transmission device B n+1 to obtain an alternative path similarity index; predicting an information transmission processing growth trend of each candidate information transmission device to obtain a candidate path processing capacity index; selecting, from all of the alternative information transmission devices, an alternative information transmission device corresponding to the maximum alternative path processing capability index and the maximum alternative path similarity index as the information transmission candidate device B n replacing the original information transmission device B n .

2. The information transmission method based on a secure network according to claim 1, wherein, For information transmission device B n , judging information transmission environment H n of information transmission device B n The specific steps include: Acquisition information transmission device B n device state data, network environment data, link stability data and historical transmission data; outputting a device availability score based on device state data; outputting a device network environment score based on network environment data; outputting a device link stability score based on link stability data; and outputting a device historical trust score based on historical transmission data; According to the device availability score, the device network environment score, the device link stability score, and the device historical trust score, a comprehensive judgment is made, and an information transmission environment score F is output n .

3. The information transmission method based on a secure network according to claim 2, characterized in that, The specific steps of the information temporary storage fallback strategy are as follows: When the information transmission device B n does not confirm the reception of the information D n-1 to be transmitted within a specified time, the information D n-1 to be transmitted is temporarily stored in the information transmission buffer queue; In the information transmission buffer queue, the information to be transmitted D n-1 is subjected to priority judgment to obtain the priority X of the information to be transmitted n-1 ; continuing to determine the current information transmission environment score F n of the information transmission device B n , predicting the information retransmission recovery probability based on the current information transmission environment score F n ’ X based on the predicted information recovery probability and the priority of the information to be transmitted n-1 identify a preset number of retransmissions, and retransmit the information to be transmitted D up to the preset number of retransmissions n-1 retransmit.

4. The information transmission method based on a secure network according to claim 3, characterized in that, Based on the set of information to be transmitted B n (Y) determining the set of information to be transmitted Y m The specific steps of the current information transmission device and the downstream information transmission device include: Based on the set of information to be transmitted B n (Y), the prediction information transmission device B n of the load growth trend; If the load growth trend is within the first critical range, then the set of information to be transmitted B n is re-allocated to the downstream information transmission device of the set of information to be transmitted Y m based on different task type division m ​ If the load growth trend is within the second critical range, the set B of information to be transmitted is prioritized based on the set Y of information to be transmitted n (Y) in the information transmission device B m (Y) in the information transmission device B m (Y) in the information transmission device B n (Y) in the information transmission device B 5. The information transmission method based on a secure network according to claim 4, characterized in that, The device availability score, the device network environment score, the device link stability score, and the device historical trust score are output by using a pre-trained deep learning model.

6. An information transmission system based on a secure network, characterized by The system applies the information transmission method based on a secure network according to any one of claims 1-5, comprising: The information transmission initial module comprises a transmission setting unit, which is used for obtaining to-be-processed transmission information, an information sending device and a current information transmission chain, wherein the current information transmission chain comprises N information transmission devices B n , n=1, 2, …, N; in the current information transmission chain, information transmission is preferentially based on the order of the n value; the to-be-processed transmission information is processed once through the information transmission device B n , and to-be-transmitted information D n is output. The information transmission redistribution module includes a transmission target allocation unit, a transmission retransmission detection unit, and a transmission task redistribution unit; the transmission target allocation unit is used to redistribute information D to be transmitted in the current information transmission chain. n-1 Before transmission, for information transmission device B n Determine information transmission device B n Information transmission environment H n The information transmission environment score F was obtained. n When the information transmission environment score is F n When the threshold is lower than the preset transmission threshold, skip information transmission device B. n Select the best candidate information transmission device B within the current information transmission environment. n Replace information transmission device B n The retransmission detection unit is used to detect retransmissions of information D to be transmitted. n-1 After transmission, if information transmission device B n Failed to confirm receipt of the information to be transmitted within the specified time D n-1 If so, an information temporary storage and rollback strategy is adopted to re-treat the transmitted information D. n-1 Information transmission is performed; the transmission task reallocation unit is used when information transmission device B... n When the information processing load exceeds the limit, obtain information transmission device B. n The set of information to be transmitted B n (Y), Y={Y m |m=1,2,…,M}, based on the set of information to be transmitted B n (Y) Determine the set of information Y to be transmitted. m The current information transmission equipment and downstream information transmission equipment.

Citation Information

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