Search

CN-122001830-A - Management method and system of cross-protocol intelligent device network

CN122001830ACN 122001830 ACN122001830 ACN 122001830ACN-122001830-A

Abstract

The invention relates to the field of network management, in particular to a method and a system for managing a cross-protocol intelligent device network. The method comprises the steps of detecting original interaction data of intelligent equipment in a network, carrying out equipment behavior analysis based on the original interaction data to construct a behavior feature matrix, carrying out conflict recognition based on the behavior feature matrix to generate a real-time conflict feature set, carrying out network state evaluation based on the real-time conflict feature set to generate a state evaluation index, carrying out network stability trend prediction according to the state evaluation index to obtain a trend prediction value, and carrying out dynamic communication parameter regulation and control according to the trend prediction value to complete dynamic network management operation. The invention improves the network management efficiency and the communication quality and stability between the devices.

Inventors

  • XU SHENGGUO

Assignees

  • 广东传畅信息科技有限公司

Dates

Publication Date
20260508
Application Date
20260318

Claims (10)

  1. 1. The management method of the cross-protocol intelligent equipment network is characterized by comprising the following steps of: Step S1, detecting original interaction data of intelligent equipment in a network, and carrying out equipment behavior analysis based on the original interaction data to construct a behavior feature matrix; s2, carrying out conflict recognition based on the behavior feature matrix to generate a real-time conflict feature set; Step S3, carrying out network state evaluation based on the real-time conflict feature set to generate a state evaluation index; s4, predicting a network stability trend according to the state evaluation index to obtain a trend prediction value; and S5, regulating and controlling dynamic communication parameters according to the trend predicted value to finish dynamic network management operation.
  2. 2. The method for managing a cross-protocol intelligent device network according to claim 1, wherein the step S1 specifically comprises the steps of: detecting original interaction data of intelligent equipment in a network, and filtering and smoothing the original interaction data to obtain a real-time behavior data stream; analyzing the equipment behaviors based on the real-time behavior data stream to obtain an equipment behavior sequence; carrying out time sequence use track identification on the equipment behavior sequence to obtain a time sequence behavior track; performing periodic autocorrelation analysis based on the time sequence behavior track, and extracting a behavior periodic mode and long-range dependence characteristics; Performing cross-protocol coupling analysis on the equipment behavior sequence, extracting a protocol using rhythm, a switching inertia factor and a burst communication trend index, and obtaining a protocol feature vector; and carrying out vectorization combination based on the protocol feature vector, the behavior periodic pattern and the long-range dependent features to construct a behavior feature matrix.
  3. 3. The method for managing a network of cross-protocol intelligent devices according to claim 2, wherein the specific steps of detecting the original interaction data of the intelligent devices in the network, filtering and smoothing the original interaction data, and obtaining the real-time behavior data stream are as follows: detecting original interaction data of intelligent equipment in a network; performing multi-level cleaning on the original interaction data to obtain preliminary optimized data, wherein the multi-level cleaning comprises data deduplication, outlier correction and time alignment; carrying out abnormal behavior identification on the preliminary optimized data and marking the abnormal behavior, wherein the abnormal behavior comprises equipment scanning attack, broadcast storm and protocol detection; The abnormal behavior is intelligently removed to obtain abnormal removal data, and iterative filtering smoothing is carried out on the abnormal removal data to obtain a real-time behavior data stream.
  4. 4. The method of claim 2, wherein the device behavior sequence comprises a pre-event sequence of statistics and calculation of connection establishment frequency distribution, mean and variance of session duration, protocol switch trigger conditions.
  5. 5. The method for managing a cross-protocol intelligent device network according to claim 1, wherein the step S2 specifically comprises the steps of: Based on the behavior feature matrix, carrying out protocol occupation behavior detection in the same time period, and identifying occupation behavior data; The method comprises the steps of carrying out resource conflict analysis on occupation behavior data and marking protocol conflict equipment, wherein the resource conflict analysis comprises the steps of competing multiple equipment for the same channel, overlapping time slot frequency bands and competing time sequence; calculating the occurrence time and duration of the protocol conflict equipment; carrying out collision probability and retransmission times statistics on the protocol collision equipment to obtain a collision strength index; calculating the network delay initiation amount of the protocol conflict equipment; And performing fusion coding on the network delay initiation quantity, the conflict intensity index, the occurrence time and the duration to generate a real-time conflict feature set.
  6. 6. The method for managing a cross-protocol intelligent device network according to claim 1, wherein the specific steps of step S3 are as follows: Performing conflict equipment distribution fitting based on the real-time conflict feature set to construct a conflict equipment distribution map; Analyzing the communication frequency, directivity and synchronism among the devices based on the behavior feature matrix; Carrying out parallel synchronous interaction identification according to the communication frequency, the directivity and the synchronism among the devices, and marking synchronous interaction devices; And carrying out network state evaluation based on the conflict equipment distribution diagram and the synchronous interaction equipment to generate a state evaluation index.
  7. 7. The method for managing a cross-protocol intelligent device network according to claim 1, wherein the specific steps of step S4 are as follows: Counting newly added connection equipment and exit equipment in the network to obtain an equipment connection increment value; performing interactive state transition analysis according to the equipment connection increment value and the state evaluation index to obtain a transition direction and probability; And predicting the network stability trend according to the transfer direction and the probability to obtain a trend predicted value, wherein the trend predicted value comprises the stability decay rates in a short term and a medium term.
  8. 8. The method for managing a cross-protocol intelligent device network according to claim 1, wherein the specific steps of step S5 are as follows: dynamic communication parameter regulation and control are carried out according to the trend predicted value, and network regulation and control parameters are generated; and issuing the network regulation parameters to each device to implement channel resource reallocation, and completing dynamic network management operation.
  9. 9. The method for managing a cross-protocol intelligent device network according to claim 8, wherein the dynamic communication parameter regulation includes dynamically calculating a switching threshold value of each protocol, adjusting a bandwidth allocation ratio, retransmitting a control parameter and dynamically optimizing a protocol response delay.
  10. 10. A cross-protocol smart device network management system for performing the cross-protocol smart device network management method of claim 1, comprising: the behavior analysis unit is used for detecting original interaction data of intelligent equipment in the network, carrying out equipment behavior analysis based on the original interaction data and constructing a behavior feature matrix; the conflict recognition unit is used for carrying out conflict recognition based on the behavior feature matrix and generating a real-time conflict feature set; The network evaluation unit is used for evaluating the network state based on the real-time conflict feature set and generating a state evaluation index; the trend prediction unit is used for predicting the network stability trend according to the state evaluation index to obtain a trend prediction value; and the parameter regulation and control unit is used for carrying out dynamic communication parameter regulation and control according to the trend predicted value so as to complete dynamic network management operation.

Description

Management method and system of cross-protocol intelligent device network Technical Field The invention relates to the field of network management, in particular to a method and a system for managing a cross-protocol intelligent device network. Background The network environment in which the protocol intelligent device is located is generally open and heterogeneous, and there are significant differences between devices in terms of communication frequency, interaction mode and protocol stack implementation. This variability makes it difficult to fully adapt the actual scenario to traditional network management approaches based on single protocols or static rules. When devices frequently switch between different protocols or burst communication behaviors occur in a specific time period, a network management system often has difficulty in timely sensing and accurately judging the real intention of the devices, so that management strategies are lagged or invalid. In some cases, abnormal device behavior may also be misinterpreted as normal traffic, further exacerbating network load pressure, and even causing cascading failures. Most of the existing network management technologies rely on fixed threshold values, manual configuration rules or periodic statistical analysis, and have obvious hysteresis for sensing network states. The method can only monitor surface indexes such as flow scale, connection quantity and the like, and lacks deep understanding of equipment behavior time sequence characteristics and cross-protocol interaction relations. Meanwhile, the network management process often relies on manual intervention to carry out strategy adjustment, so that the actual requirements of the intelligent equipment on rapid evolution are difficult to adapt, and the network management with refinement, automation and foresight cannot be realized. In the face of continuous expansion of device scale and increasingly complex communication modes, conventional management methods face significant bottlenecks in terms of efficiency, accuracy and scalability. Disclosure of Invention The invention provides a method and a system for managing a cross-protocol intelligent equipment network to solve at least one technical problem. In order to achieve the above object, the present invention provides a method for managing a cross-protocol intelligent device network, comprising the following steps: Step S1, detecting original interaction data of intelligent equipment in a network, and carrying out equipment behavior analysis based on the original interaction data to construct a behavior feature matrix; s2, carrying out conflict recognition based on the behavior feature matrix to generate a real-time conflict feature set; Step S3, carrying out network state evaluation based on the real-time conflict feature set to generate a state evaluation index; s4, predicting a network stability trend according to the state evaluation index to obtain a trend prediction value; and S5, regulating and controlling dynamic communication parameters according to the trend predicted value to finish dynamic network management operation. In this specification, a management system of a cross-protocol intelligent device network is provided, configured to perform a method for managing a cross-protocol intelligent device network as described above, including: the behavior analysis unit is used for detecting original interaction data of intelligent equipment in the network, carrying out equipment behavior analysis based on the original interaction data and constructing a behavior feature matrix; the conflict recognition unit is used for carrying out conflict recognition based on the behavior feature matrix and generating a real-time conflict feature set; The network evaluation unit is used for evaluating the network state based on the real-time conflict feature set and generating a state evaluation index; the trend prediction unit is used for predicting the network stability trend according to the state evaluation index to obtain a trend prediction value; and the parameter regulation and control unit is used for carrying out dynamic communication parameter regulation and control according to the trend predicted value so as to complete dynamic network management operation. The method has the advantages that the communication behavior and the use mode of the equipment can be completely captured by detecting the interaction data of the intelligent equipment in the network in real time, and basic data is provided for subsequent analysis. The original interaction data is converted into a behavior feature matrix, so that the behavior mode of the equipment can be represented quantitatively, and accurate basic features are provided for conflict identification and anomaly detection. The behavior feature matrix can cover the device behaviors of different communication protocols, and solves the problem of data isomerism in a multi-protocol environment. The device can be i