A subway ring network differential protection optical cable spare core group construction scheduling method and system
By constructing the physical and logical layers of the subway ring network optical cable and combining bandwidth and latency adaptation calculations, the scheduling problem of spare core resources of the subway ring network optical cable was solved, the precise construction of optical fiber channels was realized, and the communication efficiency and security during the subway construction and scheduling phases were improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA TIESIJU CIVIL ENGINEERING GROUP CO LTD
- Filing Date
- 2026-05-20
- Publication Date
- 2026-06-19
AI Technical Summary
In the existing technology, the scheduling method of spare core of optical fiber cable in subway ring network fails to effectively combine physical transmission performance and logical communication requirements, resulting in insufficient communication link bandwidth or waste of resources. It cannot meet the high-concurrency scheduling communication requirements during the subway construction and commissioning phase, and lacks a layered construction mechanism for optical fiber channels, which affects the real-time transmission of scheduling instructions and the reliable transmission of equipment debugging data.
By constructing the physical and logical layers of the fiber channel, and combining bandwidth and latency adaptation calculations, backup core resource factors and substation node factors are generated. Multi-attribute quantization and topology modeling are then performed to achieve efficient scheduling of backup core resources and precise construction of fiber channels.
It improved the accuracy of backup core resource selection, ensured that the physical layer channel provided reliable transmission for scheduling services, enhanced the scenario adaptability and scheduling flexibility of the fiber optic channel, avoided communication failures, and ensured communication efficiency and security during the subway construction and scheduling phases.
Smart Images
Figure CN122247498A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of optical cable backup scheduling technology, and specifically to a method and system for scheduling backup core components of optical cables for differential protection in subway ring networks. Background Technology
[0002] As a component of the urban rail transit power supply system, the communication guarantee capability of the metro ring network directly affects the safety and efficiency of metro construction, commissioning, and operation scheduling. During metro construction and operation, the ring network differential protection optical cable not only undertakes the task of transmitting power system protection signals, but its spare core resources also have the capability to carry dispatch communication services. How to effectively utilize the spare core resources of the ring network differential protection optical cable to quickly establish suitable optical fiber channels for target dispatch services while meeting the priority of differential protection services is a pressing technical problem to be solved in the field of metro communication resource optimization and scheduling.
[0003] In existing technologies, the scheduling and use of spare cores in subway ring network optical cables typically employs a combination of manual inspection and experience-based judgment. This approach has the following problems: First, existing technologies only individually test physical parameters such as bandwidth and attenuation of the spare cores, lacking a systematic matching analysis of the physical transmission performance of the spare cores with the logical communication requirements of the substation. Relying solely on experience-based judgment makes it difficult to ensure that the bandwidth capacity of the selected spare cores matches the service bandwidth requirements, easily leading to insufficient communication link bandwidth or resource waste, which in turn causes data transmission congestion or communication interruptions. This fails to meet the multi-node, high-concurrency scheduling communication needs during the subway construction and commissioning phase.
[0004] Second, the existing technology has not established a layered construction mechanism for the physical and logical layers of the fiber channel, and cannot comprehensively consider the physical connection topology of the backup core and the transmission delay characteristics of the substation nodes. As a result, the communication channel built cannot simultaneously meet the bandwidth and delay requirements of the service, affecting the real-time transmission of dispatching instructions and the reliable transmission of equipment debugging data, reducing the utilization rate of communication resources in the subway ring network, and posing construction safety hazards due to communication delays. Summary of the Invention
[0005] To address the shortcomings of existing technologies, the present invention aims to provide a method and system for scheduling and assembling backup cores for differential protection optical cables in subway ring networks. By constructing physical and logical layers, calculating bandwidth and latency adaptation, and determining and optimizing the feasibility of assembly in a hierarchical manner, the method achieves efficient scheduling of backup core resources and precise assembly of optical fiber channels.
[0006] To achieve the above objectives, the present invention provides the following technical solution: On the one hand, the present invention provides a method for scheduling the construction of backup cores for differential protection optical cables in metro ring networks, comprising the following steps: S1, based on the distribution information of backup cores of the differential protection optical cables in metro ring networks, generating backup core resource factors for each backup core, combining the physical connection relationships of each backup core to obtain the core connection topology, and integrating the backup core resource factors and the core connection topology to construct the physical layer of the optical fiber channel.
[0007] S2. Extract the substation layout data of the subway ring network, generate the substation node factors corresponding to each substation, and construct the logical layer of the fiber channel by combining the node factor characteristics corresponding to the substation node factors.
[0008] S3. Extract the bandwidth requirement features and latency requirement features corresponding to the target scheduling service. Input the bandwidth requirement features into the physical layer to match and obtain bandwidth difference features. Calculate the bandwidth difference coefficient by weighted summation based on the bandwidth weights corresponding to the bandwidth difference features. Combine this with the associated core wire data to perform coupled calculation of the fiber channel bandwidth adaptation coefficient. Simultaneously, input the latency requirement features into the logic layer to match and obtain latency difference features. Calculate the latency difference coefficient by weighted summation based on the latency weights corresponding to the latency difference features. Combine this with the number of transmission nodes to perform coupled calculation of the fiber channel latency adaptation coefficient.
[0009] S4. Compare the bandwidth adaptation coefficient and the delay adaptation coefficient with the corresponding thresholds to determine whether the feasibility features of the first and second components are feasible, and determine the fiber channel component adaptation of the target scheduling service.
[0010] S5. When the compatibility of the fiber channel assembly is determined to be incompatible, the feasibility characteristics of the first assembly and the feasibility characteristics of the second assembly are optimized and adjusted.
[0011] On the other hand, the present invention provides a scheduling system for backup core assembly of differential protection optical cable in a subway ring network, comprising: a physical layer construction module, a logic layer construction module, a demand feature extraction module, an adaptability determination module, and a feasibility feature optimization module.
[0012] The modules are connected as follows: the requirement feature extraction module is connected to the physical layer construction module and the logic layer construction module, respectively; the adaptability determination module is connected to the requirement feature extraction module and the feasibility feature optimization module, respectively.
[0013] The physical layer construction module generates backup core resource factors for each backup core based on the backup core distribution information of the differential protection optical cable of the metro ring network. It then obtains the core connection topology by combining the physical connection relationship of each backup core and integrates the backup core resource factors and the core connection topology to construct the physical layer of the optical fiber channel.
[0014] The logic layer construction module extracts the substation layout data of the metro ring network, generates the substation node factors corresponding to each substation, and constructs the logic layer of the fiber channel by combining the node factor characteristics corresponding to the substation node factors.
[0015] The demand feature extraction module extracts the bandwidth demand features and latency demand features corresponding to the target scheduling service. It inputs the bandwidth demand features into the physical layer to calculate the bandwidth adaptation coefficient of the fiber channel, and inputs the latency demand features into the logic layer to calculate the latency adaptation coefficient of the fiber channel.
[0016] The compatibility determination module analyzes the feasibility characteristics of the first and second fiber channel configurations based on the bandwidth and delay compatibility coefficients of the fiber channel, and determines the fiber channel configuration compatibility of the target scheduling service.
[0017] The feasibility feature optimization module optimizes and adjusts the feasibility features of the first and second fiber channel components when the fiber channel assembly is determined to be incompatible.
[0018] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention generates backup core resource factors based on backup core distribution information, and constructs core line connection topology by combining the physical connection relationship of each backup core, integrates and constructs the physical layer of the optical fiber channel, realizes quantitative management of backup core resources of ring network differential protection optical cable, improves the accuracy of backup core resource screening, avoids resource mismatch problems caused by manual experience judgment, and ensures that the physical layer channel can provide reliable transmission support for scheduling services.
[0019] (2) This invention extracts the substation layout data of the subway ring network, generates the substation node factor corresponding to each substation, and combines the node factor characteristics corresponding to the substation node factor to construct the logical layer of the optical fiber channel, realizes the coordinated matching of physical transmission resources and logical communication requirements, so that the channel can match the physical carrying capacity of the spare core and meet the actual communication needs of the substation, and improves the scenario adaptability and scheduling flexibility of the optical fiber channel.
[0020] (3) This invention extracts the bandwidth requirement characteristics and latency requirement characteristics corresponding to the target scheduling service, inputs them into the physical layer and logic layer respectively to calculate the bandwidth adaptation coefficient and latency adaptation coefficient, and analyzes the feasibility characteristics of the first group and the feasibility characteristics of the second group, so that the bandwidth resource matching and latency performance verification are independent and synergistic, avoiding communication failures caused by insufficient evaluation of a single dimension, and improving the communication efficiency and security of the subway construction and scheduling phase.
[0021] (4) When the compatibility of the optical fiber channel assembly is determined to be incompatible, the present invention optimizes and adjusts the feasibility features of the first assembly and the feasibility features of the second assembly, so that the channel assembly has the ability to adaptively iteratively optimize, thereby shortening the construction cycle of the communication link, ensuring the real-time reliable transmission of the subway differential protection service, and improving the operational stability and redundancy resource utilization of the subway power supply system. Attached Figure Description
[0022] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0023] Figure 1 This is a schematic diagram showing the connection of the method steps of the present invention;
[0024] Figure 2 This is a schematic diagram of the steps for calculating the bandwidth adaptation coefficient of the optical fiber channel in this invention.
[0025] Figure 3 This is a schematic diagram of the system module connections of the present invention. Detailed Implementation
[0026] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values of the components and steps set forth in these embodiments do not limit the scope of the invention. Furthermore, it should be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale.
[0027] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use. Techniques, methods, and apparatus known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and apparatus should be considered part of the specification.
[0028] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.
[0029] Please see Figure 1As shown, on the one hand, the present invention provides a method for scheduling the backup core assembly of a differential protection optical cable for a metro ring network, including: S1, generating backup core resource factors for each backup core based on the backup core distribution information of the differential protection optical cable for the metro ring network, obtaining the core connection topology by combining the physical connection relationship of each backup core, and integrating the backup core resource factors and the core connection topology to construct the physical layer of the optical fiber channel.
[0030] S2. Extract the substation layout data of the subway ring network, generate the substation node factors corresponding to each substation, and construct the logical layer of the fiber channel by combining the node factor characteristics corresponding to the substation node factors.
[0031] S3. Extract the bandwidth requirement features and latency requirement features corresponding to the target scheduling service. Input the bandwidth requirement features into the physical layer to match and obtain bandwidth difference features. Calculate the bandwidth difference coefficient by weighted summation based on the bandwidth weights corresponding to the bandwidth difference features. Combine this with the associated core wire data to perform coupled calculation of the fiber channel bandwidth adaptation coefficient. Simultaneously, input the latency requirement features into the logic layer to match and obtain latency difference features. Calculate the latency difference coefficient by weighted summation based on the latency weights corresponding to the latency difference features. Combine this with the number of transmission nodes to perform coupled calculation of the fiber channel latency adaptation coefficient.
[0032] S4. Compare the bandwidth adaptation coefficient and the delay adaptation coefficient with the corresponding thresholds to determine whether the feasibility features of the first and second components are feasible, and determine the fiber channel component adaptation of the target scheduling service.
[0033] S5. When the compatibility of the fiber channel assembly is determined to be incompatible, the feasibility characteristics of the first assembly and the feasibility characteristics of the second assembly are optimized and adjusted.
[0034] Considering that the accuracy of backup chip resource selection directly determines the physical layer transmission quality, current technologies only detect the physical parameters of backup chips individually, without establishing a correlation model between quantified resource factors and connection topology. This leads to blind resource selection and makes it difficult to guarantee the continuity and bandwidth margin of physical layer channels. Path planning for backup chip resources needs to be achieved through multi-attribute quantization and topology modeling.
[0035] Based on this, the specific steps for constructing the physical layer of the optical fiber channel in this invention are as follows: S11, extract the transmission bandwidth, attenuation coefficient and connectivity status of each spare core from the spare core distribution information of the differential protection optical cable of the subway ring network, and generate the spare core resource factor of each spare core through standardization processing.
[0036] The backup core distribution information includes the core wire number, transmission bandwidth, attenuation coefficient, and connectivity status of the backup core. The core wire number is used to locate each backup core, facilitating quick identification and access during construction. The transmission bandwidth reflects the upper limit of the backup core's data carrying capacity. The attenuation coefficient reflects the degree of signal loss when the backup core transmits signals; the lower the attenuation coefficient, the higher the signal transmission quality. For example, a backup core with an attenuation coefficient of 0.2 dB per kilometer can achieve communication over a longer distance compared to a backup core with an attenuation coefficient of 0.5 dB per kilometer. The connectivity status ensures whether the backup core is in a usable path state, avoiding the impact of core wire breakage on channel construction. For example, a usable path state is marked as 1, and an unusable path state is marked as 0.
[0037] Preferably, in a specific embodiment of the present invention, the transmission bandwidth, attenuation coefficient, and connectivity status of each extracted backup core are standardized to eliminate the influence of different physical dimensions on the calculation results, and are normalized to the same numerical range to generate a backup core resource factor for each backup core. Specifically, the transmission bandwidth and connectivity status are positively normalized, and the attenuation coefficient is negatively normalized to ensure that the lower the attenuation coefficient, the larger the backup core resource factor.
[0038] The spare core resource factor is generated through weighted calculation; for example, the attenuation coefficient of a certain spare core is... The connected state is The transmission bandwidth is Then the backup chip resource factor of the backup chip Represented as: .
[0039] In the formula, k1, k2, and k3 are weighting coefficients set according to the actual transmission requirements of the target scheduled service, and k1 + k2 + k3 = 1 to ensure the rationality and comparability of the weighted calculation. For services with high signal quality requirements, the weight k1 corresponding to the attenuation coefficient is increased; for services with high connectivity reliability requirements, the weight k2 corresponding to connectivity status is increased; and for services with high transmission rate requirements, the weight k3 corresponding to transmission bandwidth is increased. For example, the attenuation coefficient of a certain spare core... Normalized to -0.2, connected state =1, transmission bandwidth After normalization to 0.8, with weighting coefficients k1=0.3, k2=0.3, and k3=0.4, the backup chip resource factor is... .
[0040] S12. Based on the physical connection relationship of each spare core in the metro ring network, determine the core line association direction corresponding to each spare core, and sort out the connection path between each spare core according to the core line association direction to form the core line connection topology.
[0041] It should be noted that the core wire association direction indicates which other spare cores a certain spare core can be directly physically connected to. For example, if the physical connection terminal of spare core A is directly connected to spare cores B and C, then the core wire association direction of spare core A points to B and C.
[0042] The core wire connection topology uses spare cores as nodes and core wire associations as edges to represent the distribution of physical transmission paths between spare cores. For example, if spare core A is associated with B and C, spare core B is associated with A and D, and spare core C is associated with A and E, then these associations form a topology centered on A and connecting B, C, D, and E, clearly showing the physical transmission paths between spare cores.
[0043] S13. The spare core resource factor of each spare core is used as the physical layer transmission performance, and the core wire connection topology is used as the physical layer transmission path to integrate and construct the physical layer of the fiber channel.
[0044] In one example, the physical layer of the fiber optic channel constructed by this invention combines spare core resource factors with core connection topologies to form a usable physical transmission carrier. Based on each spare core resource factor and the identified core connection topology, the two are integrated. The spare core resource factor provides performance parameters for each transmission path segment, and the core connection topology provides the connection relationships of the transmission paths. The combination clarifies the transmission capacity and path distribution of the entire fiber optic channel physical layer. For example, if a physical layer contains spare core resource factors for spare cores A, B, and C, and the topology shows A connecting to B and B connecting to C, then the transmission path of this physical layer is from A to B and then to C. Simultaneously, the transmission bandwidth, attenuation coefficient, and other performance characteristics of each transmission path segment are determined by the corresponding resource factor, ultimately forming a physical transmission channel supporting service transmission.
[0045] This invention generates backup core resource factors based on backup core distribution information, constructs core connection topology by combining the physical connection relationship of each backup core, integrates and constructs the physical layer of the optical fiber channel, realizes quantitative management of backup core resources of ring network differential protection optical cable, improves the accuracy of backup core resource screening, avoids resource mismatch problems caused by manual experience judgment, and ensures that the physical layer channel can provide reliable transmission support for scheduling services.
[0046] Considering that the rationality of the logical layer construction directly affects service matching and transmission efficiency, existing technologies do not comprehensively consider multi-dimensional attributes such as the spatial location of substations, service carrying types, and distances between adjacent substations, resulting in a disconnect between logical connection relationships and actual communication needs. It is necessary to achieve coordinated matching between physical transmission resources and logical communication requirements through node factor characterization and logical topology modeling.
[0047] Based on this, the specific steps for constructing the logical layer of the fiber optic channel in this invention are as follows: S21, extract the spatial location and service carrying type of each substation from the substation layout data of the metro ring network, and generate the substation node factor corresponding to the logical communication role of each substation.
[0048] The substation layout data includes the spatial location of the substations, the distance between adjacent substations, and the service carrying type. The spatial location of the substations determines the distribution of communication nodes. For example, the spatial location of three substations in different areas on the second basement level directly determines the laying path of the optical fiber channel. The distance between adjacent substations affects the latency and loss of signal transmission; the greater the distance, the longer the latency during signal transmission. The service carrying type clarifies the communication needs of each substation. For example, one substation may focus on equipment debugging data transmission, while another may focus on personnel dispatch instructions. Different types have different requirements for bandwidth and latency.
[0049] The substation node factors transform each substation into a logical communication node within the ring network. Based on the substation layout data of the metro ring network, each substation corresponds to an independent substation node factor, which identifies the communication role of the substation. For example, a metro ring network may contain substations A, B, and C, corresponding to substation node factors J1, J2, and J3, respectively. These factors are associated with the basic layout information of their respective substations.
[0050] S22. Based on the spatial location of each substation, the distance between adjacent substations, and the service carrying type, the spatial location, the distance between adjacent substations, and the service carrying type corresponding to the node factors of each substation are characterized and quantified to generate the node factor features corresponding to the node factors of each substation.
[0051] It should be noted that the node factor characteristics corresponding to each substation node factor are derived by refining the communication attributes of each node factor, combining the substation's spatial location, service carrying type, and distance between adjacent substations. The spatial location of a substation determines its relative position in the ring network logical architecture. For example, a substation located in the middle of the ring network is usually a relay node for multiple communication links. The service carrying type clarifies the communication requirements of the substation. For example, a substation carrying equipment debugging data transmission has higher requirements for transmission bandwidth, while a substation carrying dispatch command transmission is more sensitive to transmission delay. The distance between adjacent substations affects the communication loss between nodes. For example, the distance between substation A and substation B is 600 meters, and the distance between substation B and substation C is 900 meters. The longer the distance, the greater the delay and loss during signal transmission.
[0052] Preferably, in a specific embodiment of the present invention, the node factor features are generated as follows: .
[0053] In the formula, The node factor features are defined as follows: W is the quantified value of spatial location, based on the distance between the substation and the ring network center node, and inversely normalized according to the maximum distance, mapping it to the interval [0, 1]. The closer to the center, the higher the score; Y is the quantified value of service carrying type, which is forward mapped according to the service level undertaken by the substation, assigning normalized scores from high to low to scheduling core nodes, data aggregation nodes, and ordinary transmission nodes to reflect the service priority of the nodes; L is the quantified value of the distance between adjacent substations, based on the distance corresponding to the maximum allowable transmission delay of the target service. The distance is limited and reverse normalized according to the actual distance; the shorter the distance, the higher the normalization score. a, b, and c are weighting coefficients set according to actual communication needs, reflecting the logical communication capability of each substation node. For example, if the location quantization value of a substation is W=0.6, the service carrying type quantization value is Y=0.8, the distance quantization value between adjacent substations is L=0.7, and the weighting coefficients are a=0.3, b=0.4, and c=0.3, then its node factor characteristic Q=0.6×0.3+0.8×0.4+0.7×0.3=0.18+0.32+0.21=0.71.
[0054] S23. Based on the node factors of each substation and the characteristics of the corresponding node factors, and combined with the network topology of the metro ring network, establish the logical connection relationship between the node factors of each substation to form the logical layer of the fiber optic channel.
[0055] In one example, the logical layer of the fiber optic channel constructed by this invention integrates node factors and node factor features into a complete logical communication architecture. By combining the node factors corresponding to each substation and the node factor features corresponding to each node factor, the logical connection relationship between substations in the metro ring network is clarified. The node factors determine the node subjects of logical communication, and the node factor features clarify the communication capabilities and adaptation direction of each node.
[0056] For example, if the characteristics of node factor J1 indicate that it is suitable for high-bandwidth transmission, and the characteristics of node factor J2 indicate that it is suitable for low-latency transmission, then the communication path priority between J1 and J2 is planned in the logic layer. Combined with the transmission loss corresponding to the distance between adjacent substations, the logical connection method between nodes is optimized, and finally a fiber channel logic layer adapted to business needs is formed.
[0057] This invention extracts substation layout data from the metro ring network, generates substation node factors corresponding to each substation, and constructs the logical layer of the fiber optic channel by combining the node factor characteristics corresponding to the substation node factors. This enables the coordinated matching of physical transmission resources and logical communication requirements, allowing the channel to match the physical carrying capacity of the spare core and meet the actual communication needs of the substation, thereby improving the scenario adaptability and scheduling flexibility of the fiber optic channel.
[0058] Given that accurately matching business needs with channel resources is crucial to avoiding communication failures, current technologies lack a systematic extraction of the target scheduling service's bandwidth and latency requirements, resulting in ineffective integration between business needs and physical and logical layer resources. Therefore, it is necessary to transform business needs into quantifiable parameters that can be input to the physical and logical layers through hierarchical feature extraction.
[0059] Based on this, the method for extracting the bandwidth requirement features and latency requirement features corresponding to the target scheduling service in this invention is as follows: based on the resource carrying capacity of the spare core in the ring network differential protection optical cable, the bandwidth feature is extracted from the requirement data of the target scheduling service to obtain the bandwidth requirement features corresponding to the target scheduling service.
[0060] Based on the node transmission characteristics of substations, the delay characteristics of the target scheduling service's demand data are extracted to obtain the delay demand characteristics corresponding to the target scheduling service.
[0061] It should be noted that the extraction of bandwidth demand characteristics is based on the resource carrying capacity of the backup core, extracting the transmission bandwidth corresponding to the target scheduling service from the service demand data. The resource carrying capacity of the backup core refers to the maximum data transmission rate that each backup core can stably support. For example, if the resource carrying capacity of a backup core is 100Mbps, it means that it can transmit a maximum of 100 megabits of data per second. Simultaneously, when extracting bandwidth demand characteristics, the actual data transmission volume of the target scheduling service is determined, and the service demand is transformed into quantifiable bandwidth characteristics by combining the carrying capacity range of the backup core. For example, if a target scheduling service is substation equipment debugging data transmission, and its total number of data packets to be transmitted per second is 80Mbps, the bandwidth demand characteristic extracted for this service, based on the upper limit of the backup core's carrying capacity, is a stable transmission demand of 80Mbps, while also including the bandwidth fluctuation range of the service, such as the bandwidth demand rising to 90Mbps during peak periods, thus constituting a complete bandwidth demand characteristic.
[0062] Preferably, in a specific embodiment of the present invention, the bandwidth requirement feature is obtained as follows: .
[0063] In the formula, Due to bandwidth demand characteristics, The average transmission rate of the target scheduled service, For peak transmission rate, As the upper limit of the backup core's carrying capacity, d1, d2, and d3 are weighted coefficients set according to service stability requirements, and d1 is the weight corresponding to the average transmission rate. When the service traffic is stable over a long period and the requirement for average bandwidth utilization is high, the value of d1 is increased. d2 is the weight corresponding to the peak transmission rate. When the service data transmission demand increases, the value of d2 is increased to prioritize the transmission quality during peak periods. d3 is the weight corresponding to the upper limit of the spare core carrying capacity. When the service has high requirements for channel redundancy, the value of d3 is increased to reflect the supporting role of bandwidth margin in service stability.
[0064] For example, the average transmission rate of a certain service =80Mbps, peak transmission rate =90Mbps, maximum capacity of backup core =100Mbps, weighting coefficients d1=0.5, d2=0.3, d3=0.2, then the bandwidth demand characteristic H=80×0.5+90×0.3-100×0.2=47. This value reflects the degree of matching between the service bandwidth demand and the backup chip's carrying capacity. When the bandwidth demand characteristic is positive and the larger the value, the better the matching between the service bandwidth demand and the backup chip's carrying capacity, and the sufficient bandwidth margin. When the bandwidth demand characteristic approaches 0, it indicates that the bandwidth margin is small and can only meet the basic transmission needs of the service. When the bandwidth demand characteristic is negative, it indicates that the service bandwidth demand has exceeded the upper limit of the backup chip's carrying capacity and cannot carry the target service.
[0065] It should be noted that the extraction of latency requirement features is based on the node transmission characteristics of substations, extracting the transmission latency corresponding to the target scheduling service from the business requirement data. The node transmission characteristics of a substation refer to the time loss pattern of signal transmission between substations. For example, if the baseline node transmission latency between two substations is 2 milliseconds, it means that the basic time required for a signal to travel from one substation to another is 2 milliseconds. When extracting latency requirement features, the tolerance range of the target scheduling service for signal transmission delay is clearly defined. Combined with the baseline value of the node transmission characteristics, the business requirements are transformed into quantifiable latency features. For example, if a target scheduling service is the transmission of personnel scheduling instructions, and the maximum tolerable delay for instruction transmission is 3 milliseconds, combined with the substation node's baseline transmission latency of 2 milliseconds, the latency requirement feature extracted for this service is an end-to-end transmission delay not exceeding 3 milliseconds, while also including the service's requirements for latency jitter, such as the latency fluctuation of instruction transmission not exceeding 0.5 milliseconds, thus constituting a complete latency requirement feature.
[0066] Preferably, in a specific embodiment of the present invention, the latency requirement feature is obtained as follows: .
[0067] In the formula, Due to latency requirements, The maximum tolerable latency for the target scheduling service. For latency jitter threshold, The reference delay for node transmission, Weighting coefficients are set according to the real-time requirements of the business. The weight corresponding to the maximum tolerable delay is increased when the service has a high requirement for the end-to-end transmission delay limit. e2 is the weight corresponding to the delay jitter threshold. When the service has high requirements for the stability of delay fluctuations during signal transmission, the value of e2 is increased. e3 is the weight corresponding to the node transmission reference delay. When the service has high requirements for the redundancy of inherent channel transmission loss and node forwarding delay, the value of e3 is increased.
[0068] For example, the maximum tolerable latency for a certain service =3 milliseconds, latency jitter threshold =0.5 milliseconds, node transmission baseline delay =2 milliseconds, weighting coefficients e1=0.6, e2=0.2, e3=0.2, then the latency requirement characteristic T=3×0.6+0.5×0.2-2×0.2=1.8+0.1-0.4=1.5. This value reflects the degree of adaptation between the service latency requirement and the node transmission characteristics. When the latency requirement characteristic value is positive and larger, it indicates that the actual transmission latency of the channel is lower than the maximum latency threshold allowed by the service, and the latency margin is sufficient; when the latency requirement characteristic value approaches zero, it indicates that the latency margin is extremely small; when the latency requirement characteristic value is negative, it indicates that the actual transmission latency of the channel has exceeded the maximum latency range allowed by the service, and cannot meet the real-time requirements of the service.
[0069] Preferably, such as Figure 2 As shown, the method for calculating the bandwidth adaptation coefficient of the fiber channel in this invention is as follows: First, generate a bandwidth demand factor based on the bandwidth demand characteristics of the target scheduled service, and extract the bandwidth demand factor characteristics corresponding to the bandwidth demand factor based on the bandwidth demand characteristics. For example, the bandwidth demand characteristics of a certain service are 80Mbps stable transmission plus 10Mbps peak fluctuation, and the corresponding bandwidth demand factor characteristics include average bandwidth and peak bandwidth.
[0070] The second step is to match the bandwidth demand factor with the bandwidth capacity of each backup core resource factor in the physical layer to obtain the target backup core resource factor corresponding to the bandwidth demand factor. For example, if there is backup core A (capacity 100Mbps) and backup core B (capacity 60Mbps) in the physical layer, and the bandwidth demand of a certain service is 80Mbps, then the bandwidth matching degree between backup core A and the service is higher than that between backup core B and backup core B.
[0071] The third step is to compare the bandwidth demand factor characteristics corresponding to the bandwidth demand factor with the corresponding characteristics of the target backup chip resource factor to obtain the bandwidth difference characteristics of the bandwidth demand factor. For example, if the peak bandwidth in the service bandwidth demand factor characteristics is 90Mbps, and the maximum carrying bandwidth in the resource factor characteristics of the target backup chip resource factor is 100Mbps, then the corresponding bandwidth difference characteristic is a carrying margin of 10Mbps.
[0072] The fourth step is to set the bandwidth weights corresponding to the resource factor characteristics. For example, the average bandwidth dimension weight is 0.6, and the peak bandwidth dimension weight is 0.4. The bandwidth weights corresponding to the bandwidth difference characteristics in the bandwidth demand factor are then weighted and summed to obtain the bandwidth difference coefficient of the fiber channel. For example, if a service has an average bandwidth difference of 5Mbps and a peak bandwidth difference of 10Mbps, then the bandwidth difference coefficient K = 5 × 0.6 + 10 × 0.4 = 7.
[0073] Step 5: Obtain the core connection topology of the target spare core resource factor corresponding to the bandwidth demand factor, and determine the number of associated cores for the bandwidth demand factor based on the core connection topology. For example, if the core connection topology of the target spare core A shows that it is connected to spare cores C and D, then the number of associated cores is 2.
[0074] Step 6: Perform coupling calculations based on the bandwidth difference coefficient and the number of associated cores to obtain the bandwidth adaptation coefficient of the fiber channel. The calculation method for the bandwidth adaptation coefficient of the fiber channel is as follows: .
[0075] In the formula, P is the bandwidth adaptation coefficient, K is the bandwidth difference coefficient, and N is the number of associated cores. The higher the value of the bandwidth adaptation coefficient, the better the adaptation between the service bandwidth requirements and the physical layer of the fiber channel, and the more fully the spare cores can cover the bandwidth requirements of the service.
[0076] Preferably, the method for calculating the delay adaptation coefficient of the fiber optic channel in this invention is as follows: First, generate a delay requirement factor based on the delay requirement characteristics of the target scheduled service, and extract the delay requirement factor features corresponding to the delay requirement factor based on the delay requirement characteristics. For example, the delay requirement characteristic of a certain service is an end-to-end delay of no more than 3 milliseconds plus a jitter threshold of 0.5 milliseconds, and the delay requirement factor features include the maximum tolerable delay and the delay jitter threshold.
[0077] The second step involves inputting the latency requirement factor into the logic layer. This latency requirement factor is then matched with the latency transmission factors of each substation node in the logic layer to obtain the target substation node factor corresponding to the latency requirement factor. For example, if substation node A in the logic layer has a transmission latency baseline of 2 milliseconds and node B has a transmission latency baseline of 4 milliseconds, and a certain service has a latency requirement of 3 milliseconds, then node A has a higher latency matching degree with the service than node B, and node A is marked as the target substation node factor.
[0078] The third step is to compare the delay requirement factor characteristics corresponding to the delay requirement factor with the corresponding characteristics of the target substation node factor to obtain the delay difference characteristics of the delay requirement factor. For example, if the maximum tolerable delay in the service delay requirement factor characteristics is 3 milliseconds, and the transmission delay baseline in the node factor characteristics of the target substation node factor is 2 milliseconds, then the corresponding delay difference characteristic is a delay margin of 1 millisecond.
[0079] The fourth step is to set the latency weights corresponding to the node factor features, such as a maximum latency dimension weight of 0.7 and a latency jitter dimension weight of 0.3. This distinguishes the impact of different latency indicators on the service. The latency difference coefficient of the fiber channel is calculated by weighting and accumulating the latency weights corresponding to the latency difference features. For example, if the latency difference feature of a certain service is 1 millisecond in the maximum latency dimension and 0.3 milliseconds in the latency jitter dimension, then the latency difference coefficient R = 1 × 0.7 + 0.3 × 0.3 = 0.79.
[0080] Step 5: Obtain the node connection path corresponding to the target substation node factor for the delay requirement factor, and determine the number of transmission nodes based on the node connection path. For example, if the node connection path of node A in the target substation is A to B and then to C, then the number of transmission nodes is 3.
[0081] Step 6: Perform coupled calculations based on the delay difference coefficient and the number of transmission nodes to obtain the delay adaptation coefficient of the fiber optic channel. The formula for calculating the delay adaptation coefficient of the fiber optic channel is as follows: .
[0082] In the formula, R is the delay adaptation coefficient, M is the delay difference coefficient, and M is the number of transmission nodes. The higher the delay adaptation coefficient, the better the adaptation between the service delay requirements and the fiber channel logic layer, and the better the transmission characteristics of the substation nodes can meet the service's delay requirements.
[0083] Considering that the feasibility characteristics of fiber optic channel setup directly affect the availability assessment, existing technologies lack hierarchical and quantitative feasibility judgment standards, resulting in insufficient decision-making basis for channel setup. It is necessary to set adaptation coefficient thresholds to achieve independent judgment and collaborative analysis of the feasibility characteristics of the first and second setups.
[0084] Based on this, the steps for determining whether the feasibility features of the first and second components are feasible in this invention are as follows: S41, if the bandwidth adaptation coefficient of the optical fiber channel is greater than the preset bandwidth adaptation coefficient threshold, then the feasibility feature of the first component of the optical fiber channel is determined to be feasible; otherwise, the feasibility feature of the first component of the optical fiber channel is determined to be infeasible.
[0085] Preferably, the preset bandwidth adaptation coefficient threshold is a fixed reference value set based on the actual needs of the metro ring network communication and the general carrying capacity of the backup core resources. For example, combining the bandwidth requirements of past debugging services with the stable carrying performance of the backup core, the bandwidth adaptation coefficient threshold is set to 2. When the bandwidth adaptation coefficient is greater than 2, it indicates that the carrying capacity of the backup core can fully cover the bandwidth requirements of the service; when the bandwidth adaptation coefficient is less than or equal to 2, it indicates that the bandwidth requirements of the service and the backup core resources are not well matched.
[0086] S42. If the delay adaptation coefficient of the fiber channel is greater than the preset delay adaptation coefficient threshold, the feasibility feature of the second assembly of the fiber channel is determined to be feasible; otherwise, the feasibility feature of the second assembly of the fiber channel is determined to be infeasible.
[0087] Preferably, the preset delay adaptation coefficient threshold is a fixed reference value set by combining the delay-sensitive requirements of the metro ring network communication with the transmission capacity of the substation nodes, such as 0.2. When the delay adaptation coefficient is greater than 0.2, it indicates that the transmission capacity of the node can meet the delay requirements of the service; when the delay adaptation coefficient is less than or equal to 0.2, it indicates that the delay requirements of the service and the transmission characteristics of the substation nodes are not well matched.
[0088] S43. When the first assembly feasibility feature of the fiber channel is feasible and the second assembly feasibility feature is feasible, the fiber channel assembly adaptability of the target scheduling service is determined to be compatible.
[0089] S44. If the feasibility characteristics of the first or second assembly are not feasible, then the fiber optic channel assembly adaptability of the target scheduling service is determined to be incompatible.
[0090] This invention extracts the bandwidth and latency requirements of the target scheduling service, inputs them into the physical and logical layers respectively to calculate the bandwidth and latency adaptation coefficients, and analyzes the feasibility features of the first and second components. This makes bandwidth resource matching and latency performance verification independent yet synergistic, avoiding communication failures caused by insufficient evaluation of a single dimension, and improving communication efficiency and security during subway construction and scheduling.
[0091] Considering that the adaptive optimization of channel configuration determines the response speed and communication reliability of scheduling services, existing technologies lack a systematic adjustment strategy after determining incompatibility, resulting in low resource allocation efficiency. A mechanism combining layered optimization and synchronous reconfiguration is needed to achieve adaptive iterative optimization of the physical and logical layers.
[0092] Based on this, the method for optimizing and adjusting the feasibility features of the first and second components in this invention is as follows: S51, if the feasibility features of the first component are not feasible and the feasibility features of the second component are feasible, then re-select the spare cores in the ring network differential protection optical cable whose transmission bandwidth is greater than the target scheduling service bandwidth requirement, update the spare core resource factor and adjust the core connection topology, reconstruct the physical layer of the optical fiber channel, and then recalculate the bandwidth adaptation coefficient and determine the feasibility features of the first component until the feasibility features of the first component are feasible.
[0093] S52. If the feasibility feature of the first group is feasible and the feasibility feature of the second group is not feasible, then optimize the logical connection relationship between substation nodes, prioritize adjusting the node connection order to shorten the transmission link distance, reduce the number of intermediate forwarding nodes, update the node factor features and reconstruct the logical layer of the fiber optic channel, then recalculate the delay adaptation coefficient and determine the feasibility feature of the second group until the feasibility feature of the second group is feasible.
[0094] S53. If both the feasibility features of the first and second groups are infeasible, then the physical and logical layers of the fiber optic channel are reconstructed simultaneously until both feasibility features are feasible. Specifically, the backup core resource factor is updated and the core connection topology is adjusted simultaneously, as well as the logical connection relationship between substation nodes is optimized and the node factor features are updated, until both the feasibility features of the first and second groups are feasible.
[0095] It should be noted that if adaptation still cannot be achieved after multiple rounds of optimization and adjustment, it will be determined that the current backup core resources of the ring network optical cable cannot support the target scheduling service, generate a channel adaptation failure prompt message, and guide the use of other communication methods or the expansion of optical cable resources to ensure the normal operation of the scheduling service.
[0096] When the compatibility of the fiber optic channel assembly is determined to be incompatible, the present invention optimizes and adjusts the feasibility features of the first and second assemblies, enabling the channel assembly to have adaptive iterative optimization capabilities, thereby shortening the construction cycle of the communication link, ensuring real-time and reliable transmission of subway differential protection services, and improving the operational stability and redundancy resource utilization of the subway power supply system.
[0097] On the other hand, such as Figure 3 As shown, the present invention provides a scheduling system for backup core assembly of differential protection optical cable in a subway ring network, including a physical layer construction module, a logic layer construction module, a demand feature extraction module, an adaptability determination module, and a feasibility feature optimization module.
[0098] The modules are connected as follows: the requirement feature extraction module is connected to the physical layer construction module and the logic layer construction module, respectively; the adaptability determination module is connected to the requirement feature extraction module and the feasibility feature optimization module, respectively.
[0099] The physical layer construction module generates backup core resource factors for each backup core based on the backup core distribution information of the differential protection optical cable of the metro ring network. It then obtains the core connection topology by combining the physical connection relationship of each backup core and integrates the backup core resource factors and the core connection topology to construct the physical layer of the optical fiber channel.
[0100] The logic layer construction module extracts the substation layout data of the metro ring network, generates the substation node factors corresponding to each substation, and constructs the logic layer of the fiber channel by combining the node factor characteristics corresponding to the substation node factors.
[0101] The demand feature extraction module extracts the bandwidth demand features and latency demand features corresponding to the target scheduling service. It inputs the bandwidth demand features into the physical layer to calculate the bandwidth adaptation coefficient of the fiber channel, and inputs the latency demand features into the logic layer to calculate the latency adaptation coefficient of the fiber channel.
[0102] The compatibility determination module analyzes the feasibility characteristics of the first and second fiber channel configurations based on the bandwidth and delay compatibility coefficients of the fiber channel, and determines the fiber channel configuration compatibility of the target scheduling service.
[0103] The feasibility feature optimization module optimizes and adjusts the feasibility features of the first and second fiber channel components when the fiber channel assembly is determined to be incompatible.
[0104] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.
[0105] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0106] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.
[0107] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
[0108] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A method for scheduling spare core components of differential protection optical cables in a subway ring network, characterized in that, include: Based on the backup core distribution information of the differential protection optical cable of the metro ring network, the backup core resource factor of each backup core is generated. The core connection topology is obtained by combining the physical connection relationship of each backup core. The backup core resource factor and the core connection topology are integrated to construct the physical layer of the optical fiber channel. Extract the substation layout data of the metro ring network, generate the substation node factor corresponding to each substation, and construct the logical layer of the fiber channel by combining the node factor characteristics corresponding to the substation node factor. The bandwidth requirement features and latency requirement features corresponding to the target scheduling service are extracted. The bandwidth requirement features are input to the physical layer for matching to obtain bandwidth difference features. The bandwidth difference coefficient is obtained by weighted summation based on the bandwidth weights corresponding to the bandwidth difference features. The bandwidth adaptation coefficient of the fiber channel is calculated by coupling with the associated core wire data. At the same time, the latency requirement features are input to the logic layer for matching to obtain latency difference features. The latency difference coefficient is obtained by weighted summation based on the latency weights corresponding to the latency difference features. The latency adaptation coefficient of the fiber channel is calculated by coupling with the number of transmission nodes. The bandwidth adaptation coefficient and the delay adaptation coefficient are compared with the corresponding thresholds to determine whether the feasibility characteristics of the first and second components are feasible, and to determine the fiber channel component adaptability of the target scheduling service. When the compatibility of the fiber channel assembly is determined to be incompatible, the feasibility characteristics of the first and second assemblies are optimized and adjusted.
2. The method for scheduling the backup core assembly of a differential protection optical cable for a subway ring network according to claim 1, characterized in that, The specific steps for constructing the physical layer of the fiber channel are as follows: The transmission bandwidth, attenuation coefficient and connectivity status of each spare core are extracted from the spare core distribution information of the differential protection optical cable of the metro ring network, and the spare core resource factor of each spare core is generated through standardization processing. Based on the physical connection relationship of each spare core in the metro ring network, determine the core line association direction of each spare core, sort out the connection path between each spare core according to the core line association direction, and form the core line connection topology. The spare core resource factor of each spare core is used as the physical layer transmission performance, and the core wire connection topology is used as the physical layer transmission path to integrate and construct the physical layer of the fiber channel.
3. The method for scheduling spare core assembly of differential protection optical cable in a subway ring network according to claim 1, characterized in that, The specific steps for constructing the logical layer of the Fibre Channel are as follows: Extract the spatial location and service carrying type of each substation from the substation layout data of the metro ring network, and generate substation node factors corresponding to the logical communication roles of each substation. Based on the spatial location of each substation, the distance between adjacent substations, and the service carrying type, the spatial location, the distance between adjacent substations, and the service carrying type corresponding to the node factors of each substation are characterized and quantified to generate node factor features corresponding to the node factors of each substation. Based on the node factors of each substation and their corresponding characteristics, and combined with the network topology of the metro ring network, a logical connection relationship between the node factors of each substation is established to form the logical layer of the fiber optic channel.
4. The method for scheduling spare core assembly of differential protection optical cable in a subway ring network according to claim 1, characterized in that, The method for extracting the bandwidth requirement characteristics and latency requirement characteristics corresponding to the target scheduling service is as follows: Based on the resource carrying capacity of the spare core in the ring network differential protection optical cable, bandwidth features are extracted from the demand data of the target scheduling service to obtain the bandwidth demand features corresponding to the target scheduling service. Based on the node transmission characteristics of substations, the delay characteristics of the target scheduling service's demand data are extracted to obtain the delay demand characteristics corresponding to the target scheduling service.
5. The method for scheduling spare core assembly of differential protection optical cable in a subway ring network according to claim 4, characterized in that, The method for calculating the bandwidth adaptation coefficient of the fiber optic channel is as follows: A bandwidth demand factor is generated based on the bandwidth demand characteristics of the target scheduling service, and the bandwidth demand factor characteristics corresponding to the bandwidth demand factor are extracted based on the bandwidth demand characteristics. The bandwidth demand factor is matched with the bandwidth carrying capacity of each spare core resource factor in the physical layer to obtain the target spare core resource factor corresponding to the bandwidth demand factor. By comparing the bandwidth demand factor characteristics corresponding to the bandwidth demand factor with the characteristics corresponding to the target spare core resource factor, the bandwidth difference characteristics of the bandwidth demand factor are obtained. Set the bandwidth weights corresponding to the resource factor characteristics, and calculate the bandwidth weights corresponding to the bandwidth difference characteristics in the bandwidth demand factors by weighted summation to obtain the bandwidth difference coefficient of the fiber channel. Obtain the core connection topology of the target spare core resource factor corresponding to the bandwidth demand factor, and obtain the number of associated cores of the bandwidth demand factor based on the core connection topology. The bandwidth adaptation coefficient of the fiber channel is obtained by coupling calculation based on the bandwidth difference coefficient and the number of associated cores.
6. The method for scheduling spare core assembly of differential protection optical cable in a subway ring network according to claim 5, characterized in that, The method for calculating the delay adaptation coefficient of the fiber optic channel is as follows: A latency requirement factor is generated based on the latency requirement characteristics of the target scheduling service, and the latency requirement factor characteristics corresponding to the latency requirement factor are extracted based on the latency requirement characteristics. The delay requirement factor is input into the logic layer, and the delay requirement factor is matched with the delay transmission factors of each substation node in the logic layer to obtain the target substation node factor corresponding to the delay requirement factor. By comparing the time delay demand factor characteristics with the characteristics corresponding to the target substation node factors, the time delay difference characteristics of the time delay demand factors are obtained. Set the delay weights corresponding to the node factor features, and calculate the delay difference coefficient of the fiber channel by weighted summation of the delay weights corresponding to the delay difference features. Obtain the node connection path corresponding to the target substation node factor of the delay requirement factor, and obtain the number of transmission nodes based on the node connection path; The delay adaptation coefficient of the fiber channel is obtained by coupling calculation based on the delay difference coefficient and the number of transmission nodes.
7. A method for scheduling spare core assembly of differential protection optical cable in a subway ring network according to claim 6, characterized in that, The steps for determining whether the feasibility characteristics of the first and second components are feasible are as follows: If the bandwidth adaptation coefficient of the fiber channel is greater than the preset bandwidth adaptation coefficient threshold, the feasibility feature of the first fiber channel assembly is determined to be feasible; otherwise, the feasibility feature of the first fiber channel assembly is determined to be infeasible. If the delay adaptation coefficient of the fiber channel is greater than the preset delay adaptation coefficient threshold, the feasibility feature of the second fiber channel assembly is determined to be feasible; otherwise, the feasibility feature of the second fiber channel assembly is determined to be infeasible.
8. The method for scheduling spare core assembly of differential protection optical cable in a subway ring network according to claim 7, characterized in that, The steps for determining the fiber optic channel compatibility of the target scheduling service are as follows: When the first and second components of the fiber channel are both feasible, the fiber channel assembly adaptability of the target scheduling service is determined to be compatible. If the feasibility characteristics of the first or second assembly are deemed infeasible, then the fiber optic channel assembly adaptability of the target scheduling service is determined to be incompatible.
9. A method for scheduling spare core assembly of differential protection optical cable in a subway ring network according to claim 8, characterized in that, The method for optimizing and adjusting the feasibility characteristics of the first and second components is as follows: If the feasibility characteristics of the first group are not feasible and the feasibility characteristics of the second group are feasible, then the spare cores in the ring network differential protection optical cable with a transmission bandwidth greater than the target scheduling service bandwidth requirement are re-selected, the spare core resource factor is updated and the core connection topology is adjusted, and the physical layer of the optical fiber channel is reconstructed. If the feasibility feature of the first group is feasible and the feasibility feature of the second group is not feasible, then optimize the logical connection relationship between substation nodes, update the node factor features and reconstruct the logical layer of the fiber optic channel. If both the feasibility features of the first and second groups are not feasible, then the physical and logical layers of the fiber channel are reconstructed simultaneously until both feasibility features are feasible.
10. A scheduling system for backup core components of differential protection optical cables in a subway ring network, characterized in that, include: The physical layer construction module generates backup core resource factors for each backup core based on the backup core distribution information of the differential protection optical cable of the metro ring network. It then obtains the core connection topology by combining the physical connection relationship of each backup core and integrates the backup core resource factors and the core connection topology to construct the physical layer of the optical fiber channel. The logic layer construction module extracts the substation layout data of the metro ring network, generates the substation node factors corresponding to each substation, and constructs the logic layer of the fiber channel by combining the node factor characteristics corresponding to the substation node factors. The demand feature extraction module extracts the bandwidth demand features and latency demand features corresponding to the target scheduling service. It inputs the bandwidth demand features into the physical layer to calculate the bandwidth adaptation coefficient of the fiber channel, and inputs the latency demand features into the logic layer to calculate the latency adaptation coefficient of the fiber channel. The adaptability determination module analyzes the feasibility characteristics of the first and second fiber channel components based on the bandwidth and delay adaptability coefficients of the fiber channel, and determines the adaptability of the fiber channel components for the target scheduling service. The feasibility feature optimization module optimizes and adjusts the feasibility features of the first and second fiber channel components when the fiber channel assembly is determined to be incompatible.