CN-122001745-A - Multi-scene-adaptation communication protocol software system and optimization method

CN122001745ACN 122001745 ACN122001745 ACN 122001745ACN-122001745-A

Abstract

The invention belongs to the technical field of intelligent city information, and particularly relates to a communication protocol software system with multiple scene adaptation and an optimization method. And (5) covering the whole flow of communication protocol adaptation, data transmission and abnormal management and control. The method adopts the core algorithms such as protocol adaptation modeling, data transmission optimization, abnormal control early warning and the like, breaks through the technical bottlenecks of 'light retransmission adaptation, light weight rate and reliability, light heavy response and prejudgment' of the traditional communication protocol software system, realizes the self-adaptive adaptation, high-reliability low-delay data transmission and full-flow abnormal real-time control of the communication protocol under multiple scenes, obviously improves the suitability, reliability and stability of the communication protocol software system, promotes the deep fusion of the communication protocol software and the application of multiple scenes, and provides a brand new intelligent communication solution for the fields of industrial communication, internet of things, intelligent terminals and the like.

Inventors

WANG KEZHENG
LIANG ZHIBIN
GU JUNYING

Assignees

北京知筹科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260324

Claims (10)

1. A multi-scene adaptive communication protocol software system and an optimization method are characterized by comprising the following steps: S1, protocol multi-scene self-adaptive adaptation processing, namely collecting multi-scene communication demand data and protocol operation parameters, and constructing a protocol multi-scene self-adaptive adaptation model through a protocol scene characteristic self-adaptive extraction algorithm and a protocol parameter dynamic adaptation algorithm to realize precise adaptation of a multi-scene and a communication protocol; S2, intelligent optimization processing of data transmission, namely constructing an intelligent optimization model of data transmission based on protocol adaptation results and data transmission requirements by a data transmission path dynamic planning algorithm and a transmission error self-adaptive suppression algorithm, and realizing high-reliability low-delay data transmission; S3, abnormal real-time control processing, namely constructing an abnormal real-time control model based on the data transmission state and protocol operation data by an abnormal characteristic intelligent recognition algorithm and an abnormal control strategy dynamic optimization algorithm, and realizing abnormal recognition, early warning and control of the whole communication protocol operation flow; the dynamic optimization algorithm of the abnormal control strategy in step S3 includes an abnormal control effect accounting formula: The constraint is that And is also provided with , Is the control effect coefficient of the j-th abnormal type at the moment t, For the abnormal recognition accuracy rate at the moment t, The early warning advance is abnormal at the moment t, The control effect coefficients of the type of abnormality at the times t-1 and t-2 are respectively, The response speed is controlled for the abnormality at the time t, The weight coefficients of the recognition accuracy, the early warning advance, the effect change rate and the response speed are respectively obtained.
2. The method according to claim 1, wherein the protocol scene feature adaptive extraction algorithm in step S1 includes the substeps of establishing a communication scene feature system, fusing communication rate, data type, transmission distance and interference intensity of multiple scenes (industrial communication, internet of things and intelligent terminals), adaptively extracting scene core features by adopting an improved cyclic neural network (RNN) and attention mechanism combined algorithm, defining types, weights and characterization rules of scene features, and providing support for protocol parameter adaptation.
3. The method according to claim 1, wherein the protocol parameter dynamic adaptation algorithm in step S1 includes the substeps of establishing a protocol parameter adaptation system, fusing scene core features and protocol operation parameters (baud rate, check bits, transmission protocol types), constructing a protocol parameter dynamic adaptation model by adopting a modified Particle Swarm Optimization (PSO) algorithm, quantifying the matching degree of scene requirements and protocol parameters, realizing dynamic adjustment and adaptation of the protocol parameters, and outputting the adapted protocol parameters.
4. The method according to claim 1, wherein the data transmission path dynamic programming algorithm in step S2 includes the substeps of establishing a data transmission path system, fusing protocol adaptation results, network topology, transmission link states, adopting an improved Dijkstra algorithm, constructing a data transmission path dynamic programming model, screening an optimal transmission path in real time, realizing dynamic adjustment of the transmission path, and ensuring low delay and high reliability of data transmission.
5. The method according to claim 1, wherein the transmission error adaptive suppression algorithm in the step S2 comprises the substeps of establishing a transmission error suppression system, identifying and suppressing transmission errors by adopting an algorithm combining improved convolutional code coding and adaptive equalization based on data transmission states (error rate, packet loss rate) and link interference strength, optimizing an error correction strategy, and improving reliability of data transmission.
6. The method of claim 1, wherein the abnormal feature intelligent recognition algorithm in the step S3 comprises the following substeps of establishing an abnormal feature system, fusing protocol operation data (parameter deviation, transmission delay and packet loss rate), abnormal types (parameter abnormality, link abnormality and data abnormality), constructing an abnormal feature intelligent recognition model by adopting an improved Support Vector Machine (SVM) algorithm, and realizing accurate recognition and classification of various abnormalities.
7. The method of claim 1, wherein the dynamic optimization algorithm of the anomaly management and control strategy in the step S3 comprises the following substeps of establishing an anomaly management and control optimization system, fusing an anomaly management and control effect accounting formula, anomaly processing history data and scene requirements, adopting an improved random forest algorithm, dynamically optimizing the anomaly management and control strategy and weight coefficients, and improving the instantaneity and effectiveness of anomaly management and control.
8. The method according to any one of claims 1-7, wherein the technological parameters of the communication protocol software system are that scene adaptation accuracy is greater than or equal to 99.0%, data transmission reliability is greater than or equal to 99.5%, abnormal recognition accuracy is greater than or equal to 98.8%, abnormal response time is less than or equal to 0.5ms, transmission delay is less than or equal to 10ms, and the communication protocol software system is suitable for various communication scenes such as industrial communication, internet of things, intelligent terminals, vehicle-mounted communication and the like.
9. The method according to any one of claims 1-7, wherein the method can be applied to the fields of industrial automation, smart home, intelligent transportation, telemedicine and the like, adapts various main stream communication protocols such as TCP/IP, UDP, modbus and the like, and supports protocol adaptation, data transmission and abnormal control full-flow intelligent control.
10. The communication protocol software system with the multi-scene adaptation is characterized by comprising a protocol multi-scene adaptation module, a data transmission intelligent optimization module, an abnormal real-time management and control module and a system management and control center, wherein the management and control center is in bidirectional communication with three functional modules, integrates 6 core algorithms, and executes the method according to any one of claims 1-9 to realize the multi-scene adaptation, the data transmission optimization and the abnormal real-time management and control of the communication protocol software system.

Description

Multi-scene-adaptation communication protocol software system and optimization method Technical Field The invention belongs to the technical field of information, and particularly relates to a communication protocol software system with multiple scene adaptation and an optimization method. Background The conventional communication protocol software system is widely applied to multiple fields such as industrial communication, internet of things and intelligent terminals, but along with diversification of application scenes and improvement of data transmission requirements, the conventional communication protocol software system still faces the outstanding problems of poor multi-scene adaptability, low data transmission reliability and insufficient abnormal control instantaneity, and the conventional system mostly adopts fixed protocol parameters, a single transmission path and a passive abnormal processing mode, lacks adaptive capacity to multiple scenes, intelligent optimization capacity of data transmission and abnormal real-time prejudgment control capacity, and cannot adapt to the communication requirements of multiple scenes, high reliability and low delay. In particular, in three key links of protocol adaptation, data transmission and abnormal management and control, 3 specific and not-solved practical operability problems exist, namely, the three key links are technical specific pain points, and the three key links have no repetition with the existing and previous communication protocols and large model related technologies (large model containing cultural activity education and general communication protocol), and are specifically as follows: 1. the multi-scene adaptation is poor, no special feature extraction and parameter dynamic adaptation algorithm is adopted, the existing communication protocol software system mostly adopts fixed protocol parameters and adaptation logic, the self-adaptation is not carried out aiming at the difference of different types of communication scenes (such as industrial communication and the Internet of things), the non-protocol scene feature self-adaptation extraction algorithm cannot accurately extract core communication requirements (speed, distance and interference) of different scenes, so that scene feature identification is inaccurate, the non-protocol parameter dynamic adaptation algorithm cannot dynamically adjust protocol parameters according to scene requirements, so that protocol and scene adaptation deviation is large, and the multi-scene communication requirements cannot be met. 2. The method has the advantages of low data transmission reliability, no exclusive path planning and error suppression algorithm, no real-time sensing and path dynamic adjustment of the link state due to the fact that the data transmission of the existing communication protocol software system mostly adopts a fixed path, no real-time screening of the optimal transmission path due to the fact that the optimal transmission path cannot be selected in real time due to the fact that the optimal transmission path is high in transmission delay and packet loss rate due to the fact that the optimal transmission path cannot be selected in real time due to the fact that the optimal transmission path is not used, low data transmission reliability due to the fact that errors and interference in the transmission process cannot be effectively identified and suppressed due to the fact that the transmission error self-adaptive suppression algorithm is not used. 3. The abnormality management and control real-time performance is insufficient, a passive response mode is mostly adopted in the abnormality management and control of the existing communication protocol software system, real-time recognition and pre-judgment of the abnormality are lacked, an intelligent abnormality feature recognition algorithm cannot accurately recognize the features of various abnormalities (parameter abnormality and link abnormality), the abnormality recognition accuracy is low, the misjudgment rate of missed judgment is high, an abnormality management and control strategy dynamic optimization algorithm cannot dynamically adjust the management and control strategy according to the abnormality type and scene requirements, the abnormality management and control response is slow, the effect is poor, and the whole-flow abnormality real-time management and control cannot be realized. The related technology of the existing communication protocol focuses on the directions of single protocol optimization, fixed scene transmission, simple exception handling and the like, core algorithm innovation is not formed in the directions of multi-scene self-adaptive adaptation, data transmission intelligent optimization and exception real-time management and control of a communication protocol software system, obvious technical blank particularly exists in the aspects of protocol scene characteristic self-adaptive extraction, transmission