OXC omnidirectional light switching control method

Abstract

The invention discloses an OXC omni-directional optical switching control method, which comprises the following steps of: 1, designing a multi-dimensional optical path switching module by using an MEMS (Micro Electro Mechanical System) to support dynamic switching of an optical signal from any input port to any output port; step 2, adopting an intelligent control algorithm based on a genetic algorithm, and dynamically adjusting optical path configuration according to a real-time flow condition and a network topology structure so as to optimize an optical signal transmission path; step 3, establishing a dynamic traffic hotspot model to identify a traffic dense area so as to locate network congestion and potential fault sources; and step 4, a DM-train dynamic monitoring and tracking algorithm is adopted, and low-cost monitoring and rapid fault positioning are realized through the virtual network topology. According to the invention, by introducing the MEMS-based multi-dimensional optical path switching technology, the genetic algorithm-based intelligent path algorithm and the DM-train dynamic monitoring and tracking algorithm, the flexibility, efficiency, response speed and overall performance of the OXC are significantly improved.

Description

Technical Field

[0001] The invention relates to the technical field of optical signal switching of all-optical networks, and in particular to an OXC omnidirectional optical switching control method. Background Art

[0002] In the rapid development of modern all-optical data center networks (DCNs), the importance of optical cross-connect (OXC) systems as core components has become increasingly prominent. With its unique ability to directly realize the flexible routing and switching of optical signals in optical fiber networks without converting optical signals to electrical signals, the OXC system has become a key technology for achieving high-bandwidth, low-latency network communications. With the rapid development of Internet technology, cloud computing and big data applications, network traffic has shown an explosive growth trend, which has posed unprecedented challenges to the performance of data center networks and further promoted the innovation and upgrading of OXC technology.

[0003] Traditionally, most OXC systems rely on two-dimensional optical switching technology, which can operate effectively when the network scale is small and the traffic demand is relatively low. However, facing the urgent needs of current and future data centers for high speed, high capacity, and low latency, the limitations of two-dimensional optical switching technology are gradually emerging: limited switching capabilities make it difficult to cope with the efficient scheduling of large-scale data traffic; insufficient system adaptability makes it difficult to flexibly respond to dynamic changes in network structure; especially in high-load scenarios, performance bottlenecks are prone to occur, affecting the service quality and reliability of the overall network.

[0004] As an important development direction of future network architecture, one of the core challenges of all-optical network is how to efficiently manage increasingly complex and huge data flows, ensure that while improving network throughput, transmission delay is continuously reduced, and network stability and flexibility are enhanced. Therefore, exploring and developing an OXC system that can efficiently switch optical signals in multi-dimensional space has become a key way to optimize data center operating efficiency, reduce energy consumption costs, and enhance network fault recovery capabilities.

[0005] In addition, with the continuous penetration of intelligent technology, the real-time monitoring and dynamic adjustment mechanism is integrated into the OXC system to realize the intelligent control and management of the optical path, which is of great significance for optimizing network resource allocation, improving network fault response speed, and ensuring business continuity. The application of intelligent control technology can make the OXC system more flexible to adapt to changes in the network environment and ensure that the network can maintain efficient and stable operation under high load and high dynamic conditions. Summary of the invention

[0006] In view of this, the present invention proposes an OXC omnidirectional optical switching control method to solve the problem in the prior art that the OXC system is limited to two-dimensional switching and has an obvious performance bottleneck under high load.

[0007] The specific technical solutions of the present invention are as follows:

[0008] An OXC omnidirectional optical switching control method, comprising:

[0009] Step 1, using MEMS to design a multi-dimensional optical path switching module to support dynamic switching of optical signals from any input port to any output port;

[0010] Step 2: Using an intelligent control algorithm based on a genetic algorithm, dynamically adjust the optical path configuration according to the real-time traffic situation and network topology to optimize the optical signal transmission path;

[0011] Step 3: Establish a dynamic traffic hotspot model to identify traffic-intensive areas to locate network congestion and potential sources of failures;

[0012] Step 4: Use the DM-trails dynamic monitoring and tracking algorithm to achieve low-cost monitoring and rapid fault location through the virtual network topology VNT.

[0013] Furthermore, in step 1, a multi-dimensional optical path switching module is designed using MEMS, including: constructing a three-dimensional optical switching matrix through a complex optical switch array and an optical fiber matrix, and using the angle adjustment function of the MEMS micromirror to realize the reflection and refraction of the optical signal in three-dimensional space.

[0014] Furthermore, in step 2, an intelligent control algorithm based on a genetic algorithm is used to dynamically optimize the optical signal transmission path, including: by setting a fitness function, comprehensively considering transmission delay, load balancing and network throughput, and iteratively optimizing the optical path configuration through selection, crossover and mutation operations to dynamically select the optimal optical path, reduce delay and improve network throughput.

[0015] Furthermore, step 3 specifically includes: real-time monitoring of network traffic, collecting link data packet transmission information, forming a traffic matrix, and calculating the arrangement matrix in combination with the optical path switching state to screen out important nodes as traffic hotspots; dynamically updating traffic hotspots to ensure that monitoring resources cover all important traffic paths to identify traffic-intensive areas and potential failure points in the network.

[0016] Furthermore, step 4 specifically includes: using the DM-trails dynamic monitoring and tracking algorithm, mapping the actual link through the virtual network topology VNT, and introducing directional markers to distinguish the direction of data flow; using the integer linear programming method to minimize the monitoring cost, configuring monitoring resources according to traffic hotspots, and ensuring comprehensive fault monitoring with the least monitoring points.

[0017] Furthermore, the MEMS micromirror in the multi-dimensional optical path switching module adopts a high-reflection mirror design and an optical fiber surface coated with an anti-reflection coating to reduce the diffraction loss caused by the limited aperture of the lens and mirror. At the same time, the increased optical path is used to further reduce the transmission loss and improve the efficiency and accuracy of optical signal switching.

[0018] Furthermore, the three-dimensional optical switching matrix of the multi-dimensional optical path switching module realizes seamless switching of optical signals between multiple paths by dynamically adjusting the optical switch state. At the same time, it uses a dual-axis rotation mechanism to accurately control the rotation angles of the micromirror on the X-axis and Y-axis to fine-tune the reflection direction of the optical signal, thereby improving the accuracy and flexibility of the propagation path selection of the optical signal in three-dimensional space.

[0019] Furthermore, when initializing the population, the intelligent control algorithm uses a three-dimensional optical path switching matrix as a chromosome to represent the optical path switching configuration, continuously optimizes the optical path configuration through the iterative process of the genetic algorithm, and finally outputs the optimal optical signal transmission path configuration plan to achieve dynamic optimization and resource balance in a complex and changeable network environment.

[0020] Furthermore, the DM-trails dynamic monitoring and tracking algorithm introduces a directional marking mechanism in the virtual network topology VNT, which indicates the direction of data flow by assigning positive and negative voltage marks to each optical link, thereby achieving accurate tracking of the optical transmission path and rapid location of faults.

[0021] Furthermore, the optimization model constructed by the DM-trails algorithm includes multiple resource weight factors and key factors such as the number of monitoring points and the number of monitoring links. The minimum cost configuration scheme to achieve the monitoring target is calculated through the integer linear programming method to realize low-cost and efficient monitoring of optical cross-connections and links.

[0022] The beneficial effects of the present invention are:

[0023] 1. Significantly improve the freedom and flexibility of optical signal switching: In response to the problem of limited switching freedom caused by the existing OXC system's reliance on traditional two-dimensional optical switch technology, the multi-dimensional optical path switching technology based on MEMS proposed in this invention realizes the free switching of optical signals in three-dimensional space by introducing a three-dimensional optical switch array. This innovation greatly expands the switching freedom of optical signals and supports more complex and variable data transmission and switching path requirements. It not only improves the flexibility of optical path configuration, but also significantly reduces the risk of network blocking when dealing with large-scale and high-density data flows, and enhances the overall performance and reliability of the network.

[0024] 2. Optimize the optical signal transmission path and improve network performance: In view of the lack of intelligent algorithm support for the configuration of the optical signal transmission path in the OXC system, the present invention proposes an optical signal transmission path algorithm based on a genetic algorithm. The algorithm can dynamically adjust the routing path of the optical signal according to the network traffic and real-time status, effectively avoiding the network congestion and transmission delay that may be caused by the traditional shortest path method. By intelligently optimizing the transmission path, the present invention significantly reduces signal transmission delay, reduces network congestion, and improves network throughput, thereby achieving better transmission performance and higher network efficiency.

[0025] 3. Enhance dynamic traffic monitoring and real-time fault response capabilities: In response to the problem that the existing OXC system lacks effective dynamic traffic monitoring and real-time fault response mechanisms, the present invention proposes a DM-trails dynamic monitoring and tracking algorithm. This algorithm achieves comprehensive perception and rapid response to network status through real-time monitoring, dynamic tracking, and multi-dimensional data analysis. When a sudden traffic peak or hardware failure occurs, it can quickly detect and locate the problem and optimize the allocation of network monitoring resources, thereby significantly shortening the fault recovery time and improving the overall performance and stability of OXC. In addition, the algorithm is also low-cost and high-efficiency, providing strong technical support for network operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0027] Figure 1 It is a flow chart of the OXC omnidirectional optical switching control method of the present invention. DETAILED DESCRIPTION

[0028] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0029] The present invention proposes an OXC omnidirectional optical switching control method, which aims to solve the key problems of limited optical path switching and insufficient network performance in traditional optical networks. First, the method uses MEMS (micro-electromechanical system) technology to design a multi-dimensional optical path switching module. This design not only realizes the free transmission of optical signals in three-dimensional space, but also greatly enhances the flexibility and switching speed of optical signals in multiple dimensions and directions by constructing a three-dimensional optical switching matrix. This design enables the optical network to respond quickly to changes in network topology and meet complex and changing communication needs.

[0030] Under normal operation of the optical network, the present invention further introduces an intelligent control algorithm based on genetic algorithm to achieve dynamic optimization of the optical signal transmission path. With its powerful search ability and adaptability, the genetic algorithm can quickly find the optimal solution in a large number of transmission paths, thereby selecting the optical path with the minimum delay and the maximum throughput. This intelligent control strategy not only significantly improves the transmission efficiency of the optical network, but also improves the overall performance of the network by reducing unnecessary delays and congestion.

[0031] In order to more effectively manage network resources and prevent potential failures, the present invention also establishes a dynamic traffic hotspot model. The model uses real-time monitoring technology to continuously monitor network traffic and identifies traffic-intensive areas and potential failure points through big data analysis. This model not only provides a scientific basis for the rational allocation of network resources, but also ensures that important links can be protected and supported in a timely and effective manner when facing sudden traffic or failures through an early warning mechanism.

[0032] Finally, in terms of fault monitoring and location, the present invention applies the DM-trails dynamic monitoring and tracking algorithm. By constructing a virtual network topology (VNT), the algorithm realizes low-cost and high-efficiency fault location of complex optical cross-connection networks and performs real-time monitoring. At the same time, the algorithm also uses an integer linear programming method to minimize the monitoring cost and optimize the configuration of monitoring resources. This innovative fault monitoring solution not only improves the accuracy and timeliness of fault location, but also improves the economic benefits of optical networks by reducing operation and maintenance costs.

[0033] Step 1, using micro-electromechanical system (MEMS) technology to design a multi-dimensional optical path switching module, in order to overcome the limitation that the traditional OXC system can only achieve a limited number of optical path switching. The multi-dimensional optical path switching module of the present invention is constructed based on a complex optical switch array and optical fiber matrix. Each dimension independently corresponds to a set of optical paths, realizing efficient transmission and flexible switching of optical signals in multiple dimensions and directions, thereby strongly supporting the needs of large-scale data transmission.

[0034] The core of the module lies in its optical switch array, which is composed of multiple precision MEMS micromirrors. These micromirrors are highly flexible and accurate, and can respond to voltage signals to make subtle angle adjustments, thereby accurately controlling the reflection and refraction directions of optical signals. Compared with the traditional two-dimensional planar optical path switching method, the three-dimensional MEMS technology introduced in this invention revolutionizes the routing and multi-dimensional switching of optical signals in three-dimensional space. Through the two built-in movable lenses, the optical signal can not only switch freely in the horizontal direction, but also flexibly reflect in the vertical direction and at different tilt angles, greatly broadening the freedom and flexibility of optical signal switching.

[0035] In order to achieve accurate management of the optical signal transmission path, the optical switching path is represented by a matrix. The present invention defines a three-dimensional optical switching matrix Z, which can be regarded as an M×N×K array, indicating the state in which the optical signal in the system can be transmitted from one port to another. Assuming that the system has m input ports and n output ports, and K is the spatial dimension, the optical path switching matrix can be expressed as:

[0036]

[0037] Among them, the matrix element m ijk represents the state where the optical signal switches from input port i to output port j, and k represents the switching dimension. ijk =1, it means that the optical signal is switched to output port j. If m ijk = 0, it means that no signal is switched to this port. Dynamic switching between different paths of optical signals is achieved by controlling the optical switch through the matrix.

[0038] In addition, the 3D MEMS system consists of two optical subsystems, each of which integrates key components such as optical fiber, lenses and reflectors. When the optical axes of the two mirrors are precisely aligned, the optical signal can be smoothly transmitted from the optical fiber of one optical subsystem to the optical fiber of another subsystem by finely adjusting the position and angle of the mirrors.

[0039] Optically, the first or emitting lens projects the beam waist from the emitting fiber to a Gaussian beam waist half the distance between the two lenses, so that the second or receiving lens can image the waist onto the surface of the output fiber. Although diffraction losses caused by the limited size of the lens and mirror apertures can have a significant impact on the amount of light transmitted through the system, the use of a sufficiently large optical path can minimize the loss. Among them, the optical components use fiber faces and lenses with optimized high reflectors or high transmission (anti-reflection coatings). The amount of light coupled to the output fiber depends on the position and incident angle of the beam waist and the wavefront quality of the beam waist. A pair of mirrors can move around on the output fiber face to find the best coupling position.

[0040] Each mirror has two degrees of freedom, so four degrees of freedom can be linearly transformed into tip, tilt, x position and y position on the output fiber plane. This two-axis rotation mechanism can be described by the following formula:

[0041]

[0042] Among them, θx and θy represent the rotation angles of the micromirror on the X-axis and Y-axis respectively, Vx and Vy are the voltages applied to the X-axis and Y-axis drivers, and kx and ky are the rotation spring constants. The three-dimensional structure of the 3D optical path switching matrix enables optical signals to be transmitted at multiple levels. By independently adjusting the voltages on these two axes, the system can accurately control the reflection direction of the optical signal so that it propagates in three-dimensional space. This multi-level path selection can effectively reduce signal conflicts and network congestion, and improve the overall performance of the system.

[0043] Step 2, using an intelligent control algorithm to optimize the optical signal transmission path. Based on the multi-dimensional optical path switching module constructed in step 1, the optical signal is given the ability to be flexibly routed at multiple levels and angles. However, faced with many possible routing options, how to select an optimal transmission path for the optical signal becomes a key issue. To this end, the present invention innovatively proposes an optical signal transmission path control algorithm based on a genetic algorithm, which can dynamically adjust in real time according to the traffic changes and topological structure in the network, thereby optimizing the allocation of optical paths, aiming to significantly improve transmission efficiency and reduce latency.

[0044] The algorithm first generates a set of random optical path switching configurations as the initial population, and each individual (i.e., a chromosome) represents a possible optical path configuration scheme. Each individual is represented by the three-dimensional matrix of the optical path switching matrix in step 1, where each element represents the path selection of the optical signal from the input port to the output port. Each layer of the matrix represents a different spatial level or path. A fitness function is set to evaluate the quality of each individual, that is, the degree of optimization of the optical path configuration. The fitness function includes three aspects: transmission delay (Delay), load balancing (Load), and network throughput (Throughput), which are expressed as follows:

[0045]

[0046] Among them, T prop (i) is the propagation delay of the ith path, T trans (i) represents the transmission delay, S is the number of available paths. Where, F is the total flow, and S is the number of available paths.

[0047] Throughput=min(B i ) (5)

[0048] Among them, B i is the bandwidth of the i-th path. Then the crossover operation is used to generate new individuals, and a new configuration is generated by combining the genes of two parent individuals. Individuals are selected according to the fitness ratio, so that individuals with high fitness have a higher probability of being selected, which is expressed as follows:

[0049]

[0050] Among them, P(i) is the probability of individual i being selected, and Fitness(i) is the fitness of individual i. Then, by randomly modifying the individuals, the algorithm can prevent itself from falling into the local optimal solution. The new individuals generated by the selection, crossover and mutation operations form a new population, and the next round of iteration is carried out to finally obtain the optimal solution for the routing transmission path.

[0051] By initializing the population, defining the fitness function, and performing selection, crossover, and mutation operations, the genetic algorithm can find the optimal solution in the complex optical path switching configuration space and achieve dynamic optimization and resource balance. The optical signal transmission path obtained by the intelligent control algorithm can reduce signal transmission delay, reduce network congestion, and improve network throughput and network reliability under normal operating conditions.

[0052] Step 3: Establish a dynamic traffic hotspot model to identify traffic-intensive areas. Step 3 is dedicated to building an efficient dynamic traffic hotspot model to identify and respond to traffic-intensive areas and potential sources of failures in the network in real time. The core of this step is the deep mining and intelligent analysis of data, as well as the dynamic adjustment strategy based on the analysis results.

[0053] Under normal operation, the optical signal routing optimization algorithm in step 2 can find the fastest path for information transmission, but when a fault occurs in the link, transmitting the optical signal along the original path will cause certain information loss, so it is necessary to monitor and optimize the optical signal link network in real time. The present invention proposes a dynamic traffic hotspot model, which identifies and responds to possible network congestion points and fault areas by real-time monitoring and analysis of network traffic.

[0054] First, collect the information such as the number, size and frequency of data packet transmission on each link. In the traffic accumulation stage, after accumulating data packets in T time periods, the traffic matrix B can be formed. According to the scheduling algorithm in step 2, the permutation matrix is ​​calculated. Each permutation matrix is ​​a 0-1 matrix, and when the optical path is switched, the flow matrix B needs to be covered by the Ns matrix to meet the following requirements:

[0055]

[0056] Among them, φ is the weight of each configuration matrix, which is used to adjust the contribution of different configuration matrices to the traffic matrix; represents the permutation matrix, the data transmission status from node i to node j under a given configuration X; bij represents the traffic value from node i to node j in the traffic matrix B, thereby ensuring that each traffic demand bij is at least covered by the permutation in the configuration matrix. As the link configuration in OXC changes, the traffic hotspot will also change dynamically. This step can screen out important nodes in the link matrix, while reducing the scale of network monitoring, ensuring that all important traffic paths are covered by sufficient monitoring resources.

[0057] Step 4, using the DM-trails dynamic monitoring and tracking algorithm to achieve low-cost monitoring and rapid fault location. In view of the large number of optical cross-connect devices (OXCs) in most current commercial optical network products, each OXC integrates hundreds or thousands of pairs of input and output ports. This high degree of complexity makes traditional fault detection methods incapable of monitoring and responding. To this end, the present invention innovatively introduces the dynamic monitoring and tracking algorithm DM-trails, aiming to meet this challenge through intelligent means.

[0058] By decomposing the optical path switching matrix, the links are dynamically mapped to the virtual network topology (VNT) to achieve fast and low-cost fault location. The graph model for establishing VNT is represented by the graph G = (V, E), where V is the node set of the traffic hotspots in step 3, E is the edge set, and each edge represents an optical link. If the configuration state of the OXC changes, the connection between the input and output port pairs will change, and the VNT will also change accordingly. In order to accurately monitor the direction of data flow, DM-trails introduces directional markers, that is, through positive and negative voltages q uv To identify the data flow direction. Positive voltage indicates the normal data flow direction, while negative voltage indicates the reverse direction, which is used to distinguish and determine the complete path of the data flow, and is presented in the form of a directed graph in VNT. The goal of the DM-trails algorithm in the present invention is to minimize the monitoring cost D, and the formula is as follows:

[0059] D=γN m +ηN l +βL s (9)

[0060] Among them, γ, η, and β are resource weight factors, N m Indicates the number of monitoring points (monitor), N l Indicates the number of monitored links, L srepresents the link length of switches. The whole formula means that the monitoring cost is related to the number of monitoring points, the number of monitoring links and the link length of switches. Considering the monitored traffic hotspots, an optimization model is established to minimize the total monitoring cost. The equation is solved using the integer linear programming method to finally obtain the monitoring configuration scheme. After step 4, by placing the minimum number of monitors, fast, low-cost and accurate fault location of optical cross-connects and links can be achieved at the same time.

[0061] The beneficial effects of the present invention are:

[0062] 1. Significantly improve the freedom and flexibility of optical signal switching: In response to the problem of limited switching freedom caused by the existing OXC system's reliance on traditional two-dimensional optical switch technology, the multi-dimensional optical path switching technology based on MEMS proposed in this invention realizes the free switching of optical signals in three-dimensional space by introducing a three-dimensional optical switch array. This innovation greatly expands the switching freedom of optical signals and supports more complex and variable data transmission and switching path requirements. It not only improves the flexibility of optical path configuration, but also significantly reduces the risk of network blocking when dealing with large-scale and high-density data flows, and enhances the overall performance and reliability of the network.

[0063] 2. Optimize the optical signal transmission path and improve network performance: In view of the lack of intelligent algorithm support for the configuration of the optical signal transmission path in the OXC system, the present invention proposes an optical signal transmission path algorithm based on a genetic algorithm. The algorithm can dynamically adjust the routing path of the optical signal according to the network traffic and real-time status, effectively avoiding the network congestion and transmission delay that may be caused by the traditional shortest path method. By intelligently optimizing the transmission path, the present invention significantly reduces signal transmission delay, reduces network congestion, and improves network throughput, thereby achieving better transmission performance and higher network efficiency.

[0064] 3. Enhance dynamic traffic monitoring and real-time fault response capabilities: In response to the problem that the existing OXC system lacks effective dynamic traffic monitoring and real-time fault response mechanisms, the present invention proposes a DM-trails dynamic monitoring and tracking algorithm. This algorithm achieves comprehensive perception and rapid response to network status through real-time monitoring, dynamic tracking, and multi-dimensional data analysis. When a sudden traffic peak or hardware failure occurs, it can quickly detect and locate the problem and optimize the allocation of network monitoring resources, thereby significantly shortening the fault recovery time and improving the overall performance and stability of OXC. In addition, the algorithm is also low-cost and high-efficiency, providing strong technical support for network operation and maintenance.

[0065] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An OXC omnidirectional light switching control method, characterized in that: include: Step 1, using MEMS to design a multi-dimensional optical path switching module to support dynamic switching of optical signals from any input port to any output port; Step 2: Using an intelligent control algorithm based on a genetic algorithm, dynamically adjust the optical path configuration according to the real-time traffic situation and network topology to optimize the optical signal transmission path; Step 3: Establish a dynamic traffic hotspot model to identify traffic-intensive areas to locate network congestion and potential sources of failures; Step 4: Use the DM-trails dynamic monitoring and tracking algorithm to achieve low-cost monitoring and rapid fault location through the virtual network topology VNT.

2. The OXC omnidirectional optical switching control method according to claim 1, characterized in that: In step 1, MEMS is used to design a multi-dimensional optical path switching module, including: building a three-dimensional optical switching matrix through a complex optical switch array and an optical fiber matrix, and using the angle adjustment function of the MEMS micromirror to realize the reflection and refraction of the optical signal in three-dimensional space.

3. The OXC omnidirectional optical switching control method according to claim 1, characterized in that: In step 2, an intelligent control algorithm based on a genetic algorithm is used to dynamically optimize the optical signal transmission path, including: by setting a fitness function, comprehensively considering transmission delay, load balancing and network throughput, iteratively optimizing the optical path configuration through selection, crossover and mutation operations, so as to dynamically select the optimal optical path, reduce delay and improve network throughput.

4. The OXC omnidirectional light switching control method according to claim 1, characterized in that: The step 3 specifically includes: real-time monitoring of network traffic, collecting link data packet transmission information, forming a traffic matrix, and calculating the arrangement matrix in combination with the optical path switching state, screening out important nodes as traffic hotspots; dynamically updating traffic hotspots to ensure that monitoring resources cover all important traffic paths to identify traffic-intensive areas and potential failure points in the network.

5. The OXC omnidirectional optical switching control method according to claim 1, characterized in that: The step 4 specifically includes: using the DM-trails dynamic monitoring and tracking algorithm, mapping the actual link through the virtual network topology VNT, and introducing directional markers to distinguish the direction of data flow; using the integer linear programming method to minimize the monitoring cost, configuring monitoring resources according to traffic hotspots, and ensuring comprehensive fault monitoring with the least monitoring points.

6. The OXC omnidirectional light switching control method according to claim 2, characterized in that: The MEMS micromirror in the multi-dimensional optical path switching module adopts a high-reflection mirror design and is coated with an optical fiber surface with an anti-reflection coating to reduce diffraction losses caused by lens and mirror aperture limitations, while utilizing the increased optical path to further reduce transmission losses and improve the efficiency and accuracy of optical signal switching.

7. The OXC omnidirectional light switching control method according to claim 2, characterized in that: The three-dimensional optical switching matrix of the multi-dimensional optical path switching module realizes seamless switching of optical signals between multiple paths by dynamically adjusting the optical switch state. At the same time, a dual-axis rotation mechanism is used to accurately control the rotation angles of the micromirrors on the X-axis and the Y-axis to fine-tune the reflection direction of the optical signal, thereby improving the accuracy and flexibility of the propagation path selection of the optical signal in three-dimensional space.

8. The OXC omnidirectional light switching control method according to claim 3, characterized in that: When initializing the population, the intelligent control algorithm uses a three-dimensional optical path switching matrix as a chromosome to represent the optical path switching configuration, continuously optimizes the optical path configuration through the iterative process of the genetic algorithm, and finally outputs the optimal optical signal transmission path configuration scheme to achieve dynamic optimization and resource balance in a complex and changeable network environment.

9. The OXC omnidirectional light switching control method according to claim 5, characterized in that: The DM-trails dynamic monitoring and tracking algorithm introduces a directional marking mechanism in the virtual network topology VNT, and indicates the direction of data flow by assigning positive and negative voltage marks to each optical link, thereby achieving accurate tracking of the optical transmission path and rapid location of faults.

10. The OXC omnidirectional optical switching control method according to claim 1, characterized in that: The optimization model constructed by the DM-trails algorithm includes multiple resource weight factors and key factors such as the number of monitoring points and the number of monitoring links. The minimum cost configuration scheme for achieving the monitoring target is calculated through the integer linear programming method to achieve low-cost and efficient monitoring of optical cross-connections and links.

Images