Dynamic resource allocation method for electric power heavy load optical cable transmission network

Abstract

The invention relates to the field of network resource management, and discloses a dynamic resource allocation method for a power heavy-load optical cable transmission network, which comprises the following steps of: receiving service transmission requirements from each node or terminal in a power network, the service transmission requirements comprising data transmission quantity, service quality requirements, priority information and transmission time periods; the resource states of the electric power heavy load optical cable transmission network are monitored in real time, wherein the resource states comprise the optical cable bandwidth utilization rate, the optical power loss, the transmission delay and the network congestion condition; meanwhile, the network resources are evaluated according to the monitoring data, and the current resource quantity and the potential resource bottleneck are determined; determining a distribution coefficient obtained by resource distribution calculation based on the received service transmission demand and the resource state, matching with a preset distribution interval according to the distribution coefficient, and selecting a resource distribution scheme according to a matching result; and scheduling and executing the resources of the power heavy load optical cable transmission network according to the determined resource allocation scheme.

Description

Technical Field

[0001] The present invention relates to the field of network resource management, and more particularly to a method for dynamically allocating resources in a power heavy-haul optical cable transmission network. Background Art

[0002] With the rapid development and intelligent transformation of the power system, the power heavy-haul optical cable transmission network, as an important part of the power communication network, undertakes an increasing data transmission task. These tasks not only include traditional power monitoring, dispatching, and protection information, but also cover emerging services such as distributed energy management in the smart grid, electric vehicle charging station monitoring, and user-side energy management. These services pose higher requirements for the real-time, reliability, and security of data transmission, and also bring great challenges to the management and allocation of network resources.

[0003] Traditional network resource allocation methods often rely on static or semi-static strategies, which are difficult to adapt to the rapid changes in service requirements and the dynamic fluctuations of resources in the power heavy-haul optical cable transmission network. Static allocation methods usually configure resources according to the expected load during network planning, but often fail to accurately predict future service requirements, resulting in low resource utilization or resource waste. Semi-static allocation methods can adjust to some extent according to changes in service load, but their adjustment period is long and the response speed is slow, unable to meet the needs of real-time services.

[0004] To overcome the limitations of traditional methods, the power heavy-haul optical cable transmission network requires a more flexible, efficient, and intelligent method for dynamically allocating resources. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for dynamically allocating resources in a power heavy-haul optical cable transmission network to solve the above technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A method for dynamically allocating resources in a power heavy-haul optical cable transmission network includes the following steps:

[0008] S1. Receive service transmission requirements from various nodes or terminals in the power network, where the service transmission requirements include data transmission volume, quality of service requirements, priority information, and transmission time period;

[0009] S2. Real-time monitor the resource status of the power heavy-haul optical cable transmission network, including optical cable bandwidth utilization, optical power loss, transmission delay, and network congestion; at the same time, evaluate the network resources according to the monitoring data to determine the current resource volume and potential resource bottlenecks;

[0010] S3. Determine the allocation coefficient calculated based on the received service transmission requirements and resource status, match the allocation coefficient with the preset allocation interval, and then select a resource allocation plan according to the matching result;

[0011] S4. Schedule and execute the resources of the power heavy-haul optical cable transmission network according to the determined resource allocation plan.

[0012] As a further technical solution, the method further includes:

[0013] S5. Collect the actual performance data during the service transmission process. The performance data includes: transmission success rate, delay variation, and resource utilization rate. Compare the actual performance data with the expected target, and judge whether to iteratively optimize the resource allocation plan according to the comparison result.

[0014] As a further technical solution, the calculation formula for the allocation coefficient in S3 is:

[0015]

[0016] where ω i is the allocation coefficient of the i-th service, A i is the data transmission volume of the i-th service, B i is the priority coefficient of the i-th service, and the higher the priority, the larger the priority coefficient; C i is the quality of service requirement coefficient of the i-th service, D i is the estimated value of the bandwidth occupancy of the current optical cable for the i-th service, E i is the estimated transmission delay, and r is the evaluation coefficient.

[0017] As a further technical solution, the process of obtaining the evaluation coefficient is:

[0018] Substitute the collected optical cable bandwidth utilization rate K 1 and optical power loss K 2 into the formula:

[0019]

[0020] Calculate to obtain the evaluation coefficient r;

[0021] where α, β, γ, δ are preset proportionality coefficients, K 3 is the transmission delay index, and the expression is: When k os ≥ k th then K 3 = 0, k os is the actual transmission delay value, k th is the preset maximum transmission delay value, K 4is a network congestion metric.

[0022] As a further technical solution, the process of obtaining the network congestion metric is as follows:

[0023] Substitute the currently collected network traffic F, the queue length Q in the current network, and the number of historically lost data packets LOSS into the formula;

[0024]

[0025] Calculate to obtain the network congestion metric K 4 ;

[0026] where F max is the maximum transmission capacity of the network, that is, the maximum traffic that the network can handle under ideal conditions, Q max is the maximum length of the queue, that is, the maximum number of waiting data packets that the network can accommodate, T LOSS is the total number of transmitted data packets, is the weight coefficient, determined based on historical data analysis.

[0027] As a further technical solution, the process of matching according to the distribution coefficient ω i with the preset distribution interval [a i , b i and then selecting a resource allocation scheme according to the matching result is as follows:

[0028] If ω i > b i , then it is determined that the current service belongs to the high priority level;

[0029] The allocation scheme is:

[0030] Give priority to guaranteeing the network resources of the current service. If the high-priority service demand surges and causes resource tension, then start the emergency resource scheduling mechanism and temporarily borrow some resources from the low-priority service;

[0031] If ω i ∈[a i , b i , then it is determined that the current service belongs to the medium priority level;

[0032] The allocation scheme is:

[0033] According to the requirements of the current service, increase or adjust the bandwidth allocation to balance the network resource allocation of the service and ensure the normal operation of the service;

[0034] If ω i < a i , then it is determined that the current service belongs to the low priority level;

[0035] The allocation scheme is:

[0036] On the premise of meeting the basic requirements of the current business, reduce the network resource allocation and wait for the resource invocation of high-priority services.

[0037] As a further technical solution, the method for evaluating network resources based on monitoring data to determine the current resource volume and potential resource bottlenecks is as follows:

[0038] Compare the calculated evaluation coefficient r with the preset evaluation interval [r tx , r ty ;

[0039] If then it is determined that the current network resource volume is insufficient or there are potential resource bottlenecks;

[0040] If r ∈ [r tx , r ty , then it is determined that the current network resource volume is sufficient and there are no potential resource bottlenecks.

[0041] As a further technical solution, if then respectively obtain the curves K 0 -t 1 of the optical cable bandwidth utilization rate, optical power loss, transmission delay value, and network congestion index changing with time within the preset time period t 1 (t), K 2 (t), k os (t), K 4 (t), and through the formula group:

[0042]

[0043] respectively calculate the deviation coefficients ΔMK 1 , ΔMK 2 , ΔMK 3 , ΔMK 4 ; where K 1c , K 2c , k th , K 4c are thresholds determined based on historical data analysis;

[0044] Then compare ΔMK 1 , ΔMK 2 , ΔMK 3 , ΔMK 4 with their respective warning values respectively;

[0045] If the condition that both ΔMK 1 &ΔMK 2 exceed the corresponding warning values is met, then it is determined that the current network resource volume is insufficient;

[0046] If ΔMK 3 & ΔMK 4 both exceed the corresponding warning values, it is determined that there is a potential resource bottleneck in the current network.

[0047] Advantages of the present invention:

[0048] The resource dynamic allocation method for the power heavy - load optical cable transmission network provided by the present invention realizes efficient and flexible allocation of resources by real - time monitoring network resources and receiving service transmission requirements; not only improves the efficiency and success rate of data transmission, but also optimizes the service quality, ensuring the priority satisfaction of high - priority services and low - latency requirements; at the same time, through the collection and comparison of performance data, the resource allocation scheme can be adjusted in real time to realize the continuous optimized utilization of resources, avoiding resource bottlenecks and waste; in addition, it also enhances the stability and reliability of the network, providing a strong guarantee for the efficient operation of the power heavy - load optical cable transmission network. Brief Description of the Drawings

[0049] The present invention will be further described below with reference to the accompanying drawings.

[0050] Figure 1 It is a flowchart of the method steps of the present invention. Detailed Embodiments

[0051] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0052] Please refer to Figure 1 As shown, the present invention is a resource dynamic allocation method for a power heavy - load optical cable transmission network, including the following steps:

[0053] S1. Receive service transmission requirements from each node or terminal in the power network, where the service transmission requirements include data transmission volume, service quality requirements, priority information, and transmission time period;

[0054] S2. Real - time monitor the resource status of the power heavy - load optical cable transmission network, including optical cable bandwidth utilization rate, optical power loss, transmission delay, and network congestion; at the same time, evaluate the network resources according to the monitoring data to determine the current resource volume and potential resource bottlenecks;

[0055] S3. Determine the allocation coefficient calculated based on the received service transmission requirements and resource status, match the allocation coefficient with the preset allocation interval, and then select a resource allocation scheme according to the matching result;

[0056] S4. Schedule and execute the resources of the power heavy-duty optical cable transmission network according to the determined resource allocation scheme;

[0057] S5. Collect the actual performance data during the service transmission process. The performance data includes: transmission success rate, delay variation, and resource utilization rate. Compare the actual performance data with the expected target, and judge whether to iteratively optimize the resource allocation scheme according to the comparison result. For example, the service transmission success rate of node A is 99.95%, the delay variation is within the acceptable range, and the resource utilization rate is 70%; the service transmission success rate of node B is 99.2%, the delay increases slightly but is still within the acceptable range, and the resource utilization rate is 65%; comparing these actual performance data with the expected target, it is found that the transmission success rate of node B is slightly lower than the expected target, so the resource allocation scheme needs to be iteratively optimized.

[0058] The resource dynamic allocation method for the power heavy-duty optical cable transmission network provided by the present invention realizes the efficient and flexible allocation of resources by real-time monitoring of network resources and receiving service transmission requirements; not only improves the efficiency and success rate of data transmission, but also optimizes the service quality, ensuring the priority satisfaction of high-priority services and low-latency requirements; at the same time, through the collection and comparison of performance data, the resource allocation scheme can be adjusted in real time to realize the continuous optimization and utilization of resources, avoiding resource bottlenecks and waste; in addition, it also enhances the stability and reliability of the network, providing a strong guarantee for the efficient operation of the power heavy-duty optical cable transmission network.

[0059] The calculation formula of the allocation coefficient in S3 is:

[0060]

[0061] where ω i is the allocation coefficient of the i-th service, A i is the data transmission volume of the i-th service, B i is the priority coefficient of the i-th service, and the higher the priority, the larger the priority coefficient; C i is the service quality requirement coefficient of the i-th service, D i is the estimated value of the bandwidth occupancy of the current optical cable for the i-th service, E i is the estimated transmission delay, and r is the evaluation coefficient.

[0062] In the present invention, an allocation evaluation model is established by comprehensively considering the services of each node according to the data transmission volume, priority, quality of service requirements, loan occupancy prediction value, and transmission delay prediction value. Obviously, the larger the allocation coefficient, the higher the priority of the current service and the greater the resources required. Among them, the priority coefficient B i is set according to service requirements. For example, 1 represents the lowest priority and 10 represents the highest priority; the quality of service requirement coefficient C i represents the degree of service quality requirements of the service and is set according to the level of QoS requirements. For example, 1 represents the lowest QoS requirement and 10 represents the highest QoS requirement. Among them, the predicted value D of the bandwidth occupancy of the current optical cable for the i-th service i The specific expression is: D i = total bandwidth of the optical cable * (bandwidth requirement of service i / total bandwidth requirement of all services); the predicted value E of the transmission delay i , E i =(length of the optical cable / transmission rate)+ network device processing delay; all the above-mentioned parameter items are obtained through existing network monitoring tools and will not be elaborated here; then comprehensively The allocation coefficient of each service can be calculated. Obviously, the larger the allocation coefficient, the higher the importance of the service.

[0063] The process of obtaining the evaluation coefficient is as follows:

[0064] Substitute the collected optical cable bandwidth utilization rate K 1 and optical power loss K 2 into the formula:

[0065]

[0066] Calculate to obtain the evaluation coefficient r;

[0067] Among them, α, β, γ, and δ are preset proportionality coefficients, which are comprehensively determined based on historical data and experimental data. K 3 is the transmission delay index, and the expression is: When k os ≥k th , K 3 = 0, k os is the actual transmission delay value, k th is the preset maximum transmission delay value, and K 4 is the network congestion index.

[0068] The present invention provides a method for obtaining an evaluation coefficient. Specifically, first substitute the collected optical cable bandwidth utilization rate K 1 and optical power loss K 2 into the formula: The evaluation coefficient r is calculated. Obviously, the higher the utilization rate of the optical cable bandwidth, the larger the evaluation coefficient of the current network; conversely, the smaller the evaluation coefficient of the current network. Similarly, the larger the transmission delay index, the smaller the actual transmission delay value, so the evaluation coefficient of the current network is larger; the optical power loss K 2 , and the network congestion index K 4 The larger they are, the smaller the evaluation coefficient of the current network. By comprehensively considering each of the above parameters, an evaluation model is established to accurately evaluate the current network based on historical data, and then dynamically adjust the influence of the distribution coefficient for each service according to historical performance, so as to improve the accuracy of effectively allocating resources to each service ultimately.

[0069] The process of obtaining the network congestion index is as follows:

[0070] Substitute the currently collected network traffic F, the queue length Q in the current network, and the number of lost packets LOSS in history into the formula;

[0071]

[0072] Calculate to obtain the network congestion index K 4 ;

[0073] Among them, F max is the maximum transmission capacity of the network, that is, the maximum traffic that the network can handle under ideal conditions, Q max is the maximum length of the queue, that is, the maximum number of waiting packets that the network can accommodate, T LOSS is the total number of transmitted packets, is the weight coefficient, which is determined based on historical data analysis.

[0074] In the present invention, by substituting the currently collected network traffic F, the queue length Q in the current network, and the number of lost packets LOSS in history into the formula Calculate to obtain the network congestion index K 4 . Obviously, the larger the current network traffic, the higher the probability of congestion in the overall network. And the larger the queue length in the current network, the longer the time that the current service needs to queue, so the probability of congestion in the overall network is also higher. The larger it is, the higher the packet loss rate of service transmission, so the congestion probability of this network is also higher. By comparing the above three parameters with their respective maximum values and then assigning different weights, the actual evaluation of the current network congestion degree can be obtained, which provides important data support for the calculation of the evaluation coefficient and the calculation of the distribution coefficient for each service, and then improves the accuracy of resource allocation for each service.

[0075] According to the distribution coefficient ω i and the preset distribution interval [ai , b i The process of matching and then selecting a resource allocation plan according to the matching result is as follows:

[0076] If ω i > b i , it is determined that the current service belongs to the high priority level;

[0077] The allocation plan is:

[0078] Give priority to ensuring the network resources of the current service. If the demand for high-priority services surges and causes resource tension, start the emergency resource scheduling mechanism and temporarily borrow some resources from low-priority services;

[0079] If ω i ∈ [a i , b i , it is determined that the current service belongs to the medium priority level;

[0080] The allocation plan is:

[0081] According to the requirements of the current service, increase or adjust the bandwidth allocation to balance the network resource allocation of the service and ensure the normal operation of the service;

[0082] If ω i < a i , it is determined that the current service belongs to the low priority level;

[0083] The allocation plan is:

[0084] On the premise of meeting the basic requirements of the current service, reduce the network resource allocation and wait for the resource call of high-priority services.

[0085] In the present invention, when ω i > b i , it is determined that the current service belongs to the high priority level and resources need to be preferentially guaranteed. Even if some resources of low-priority services are sacrificed, it is necessary to ensure that high-priority services obtain sufficient network resources to meet their data transmission volume, service quality requirements, and priority information; if the demand for high-priority services surges and causes resource tension, the emergency resource scheduling mechanism can be started to temporarily borrow or reserve some resources of low-priority services;

[0086] When ω i ∈ [a i , b i , it is determined that the current service belongs to the medium priority level and resource allocation needs to be balanced to ensure the normal operation of the service; according to the current network resource status and service requirements, allocate resources reasonably to avoid resource waste and bottlenecks; if the requirements of medium-priority services change greatly, the resource allocation can be flexibly adjusted according to the actual situation, such as increasing or decreasing the bandwidth allocation, to maintain network stability;

[0087] When ω i <a i When this is the case, it is determined that the current service belongs to the low priority. On the premise of meeting the basic requirements, the resource allocation is appropriately reduced for emergencies; sufficient resources are allocated to low-priority services to maintain their basic operation, but the resource occupancy can be appropriately reduced when resources are scarce; if the requirements of low-priority services decrease or the network resources are sufficient, the resource allocation can be appropriately increased to improve the overall resource utilization rate;

[0088] Through the above solution, the overall performance of the power heavy-load optical cable transmission network will be optimized, the problems of network delay and packet loss will be effectively controlled, the purpose of improving user satisfaction and experience will be achieved, and the resources can be flexibly allocated and adjusted according to the requirements of different priority services, thereby improving the overall resource utilization rate and reducing the operating cost; moreover, by preferentially ensuring the resource requirements of high-priority services and medium-priority services, the stability of the services can be enhanced, and then it can be ensured that the services can be completed on time and with high quality, improving the reliability and credibility of the services.

[0089] The method for evaluating network resources based on monitoring data to determine the current resource amount and potential resource bottlenecks is as follows:

[0090] Compare the calculated evaluation coefficient r with the preset evaluation interval [r tx , r ty ;

[0091] If it is determined that the current network resource amount is insufficient or there are potential resource bottlenecks;

[0092] If r ∈ [r tx , r ty , it is determined that the current network resource amount is sufficient and there are no potential resource bottlenecks.

[0093] In the present invention, the evaluation coefficient of the current network obtained by calculation can be compared with the preset evaluation interval. If it falls within the preset evaluation interval, it indicates that while leaving sufficient network resources, the resource utilization rate of the current network is also in a relatively high state, and the overall network delay, optical power loss, and network congestion are also relatively low. Therefore, when the overall is within the preset evaluation interval, even if there are fluctuations up and down, it belongs to the normal situation. And within the preset evaluation interval, the closer the evaluation coefficient r is to r ty , the better the performance of the current network. On the contrary, if the evaluation coefficient is too large or too small, it indicates that although the resource utilization rate of the current network is relatively high, it is very close to the threshold or the resource utilization rate is relatively low, resulting in sufficient resources but large waste. Therefore, the probability of resource shortage or resource bottlenecks is higher; through the above method, the problems of resource amount and resource bottlenecks can be quickly distinguished, providing favorable conditions for subsequent detailed determination of the state.

[0094] If then obtain the curves K 0 -t 1 of the optical cable bandwidth utilization rate, optical power loss, transmission delay value, and network congestion index varying with time within the preset time period t 1 (t), K 2 (t), k os (t), K 4 (t), respectively, through the formula group:

[0095]

[0096] Calculate the deviation coefficients ΔMK 1 、ΔMK 2 、ΔMK 3 、ΔMK 4 of the optical cable bandwidth utilization rate, optical power loss, transmission delay index, and network congestion index respectively; where, K 1c 、K 2c 、k th 、K 4c are thresholds determined based on historical data analysis;

[0097] Then compare ΔMK 1 、ΔMK 2 、ΔMK 3 、ΔMK 4 with their respective warning values respectively;

[0098] If the condition that both ΔMK 1 &ΔMK 2 exceed the corresponding warning values is satisfied, it is determined that the current network resource quantity is insufficient;

[0099] If the condition that both ΔMK 3 &ΔMK 4 exceed the corresponding warning values is satisfied, it is determined that there is a potential resource bottleneck in the current network.

[0100] In the present invention, the cumulative change amount of each parameter item is calculated by means of integration. Obviously, if the cumulative change amount is larger, it indicates that the deviation from the threshold value is larger, so the probability of having problems is higher. Then, by comparing each calculated deviation coefficient with its corresponding threshold value, the larger the deviation coefficient of the optical cable bandwidth utilization rate and the larger the deviation coefficient of the optical power loss, it means that the current network bandwidth occupancy is too high and the transmission loss is larger, so the probability of insufficient network resource quantity is higher. And the larger the deviation coefficients of the transmission delay index and the network congestion index, it means that the current network transmission delay and network congestion tend to worsen, so the probability of having potential resource bottlenecks is higher. Through the above two screening methods, it is possible to compare the cumulative change amount of each parameter in the historical period with the warning value, so as to quickly identify the risk of insufficient resource quantity or the risk of resource bottlenecks, providing a necessary basis for increasing the network bandwidth or upgrading the device performance in the future.

[0101] It should be noted that the calculation formulas and each parameter participating in the operation in the present invention have been pre-dimensionless processed, and the process of dimensionless processing is well-known in the industry and will not be described here.

[0102] The above has described in detail an embodiment of the present invention, but the content described is only a preferred embodiment of the present invention and cannot be considered as used to limit the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the present invention application should still fall within the scope covered by the patent of the present invention.

Claims

1. A method for dynamically allocating resources in a power heavy-duty optical cable transmission network, characterized in that: The steps include: S1. Receive business transmission requirements from various nodes or terminals in the power network, wherein the business transmission requirements include data transmission volume, service quality requirements, priority information, and transmission period; S2. Real-time monitoring of the resource status of the heavy-duty optical cable transmission network, including optical cable bandwidth utilization, optical power loss, transmission delay and network congestion; at the same time, the network resources are evaluated based on the monitoring data to determine the current resource volume and potential resource bottlenecks; S3, determining the allocation coefficient obtained by the resource allocation calculation based on the received service transmission demand and resource status, matching the allocation coefficient with the preset allocation interval, and then selecting a resource allocation scheme according to the matching result; S4. Scheduling and executing the resources of the power heavy-duty optical cable transmission network according to the determined resource allocation plan.

2. The method for dynamic resource allocation of a power heavy-duty optical cable transmission network according to claim 1, characterized in that: The method further comprises: S5. Collect actual performance data during service transmission, where the performance data includes: transmission success rate, delay change, and resource utilization rate. Compare the actual performance data with the expected target, and determine whether to iteratively optimize the resource allocation plan based on the comparison result.

3. The method for dynamic resource allocation of a power heavy-duty optical cable transmission network according to claim 1 or 2, characterized in that: The calculation formula of the distribution coefficient in S3 is: Among them, ω i is the allocation coefficient of the ith business, A i is the data transmission volume of the ith service, B i is the priority coefficient of the ith service, and the higher the priority, the greater the priority coefficient; C i is the service quality requirement coefficient of the ith service, D i is the estimated bandwidth occupancy of the current optical cable for the i-th service, E i is the estimated transmission delay, and r is the evaluation coefficient.

4. The method for dynamic resource allocation of a power heavy-duty optical cable transmission network according to claim 3, characterized in that: The process of obtaining the evaluation coefficient is as follows: Substitute the collected optical cable bandwidth utilization K1 and optical power loss K2 into the formula: The evaluation coefficient r is calculated; Among them, α, β, γ, δ are preset proportional coefficients, K3 is the transmission delay index, and the expression is: When k os ≥k th When K3=0, k os is the actual transmission delay value, k th The preset maximum transmission delay value, K4 is the network congestion indicator.

5. The method for dynamic resource allocation of a power heavy-duty optical cable transmission network according to claim 4, characterized in that: The process of obtaining the network congestion indicator is as follows: Substitute the collected current network traffic F, the queue length Q in the current network, and the number of historical lost data packets LOSS into the formula; The network congestion index K4 is calculated; Among them, F max is the maximum transmission capacity of the network, that is, the maximum flow that the network can handle under ideal conditions, Q max is the maximum length of the queue, that is, the maximum number of waiting packets that the network can accommodate, T LOSS is the total number of packets transmitted, is the weight coefficient, which is determined based on historical data analysis.

6. The method for dynamic resource allocation of a power heavy-duty optical cable transmission network according to claim 2, characterized in that: According to the distribution coefficient ω i Compared with the preset allocation interval [a i , b i ] to match, and then select the resource allocation plan according to the matching results: If i >b i , then the current business is judged to be of high priority; The allocation scheme is: Prioritize network resources for current services. If a surge in demand for high-priority services causes resource shortages, the emergency resource scheduling mechanism is activated to temporarily borrow some resources from low-priority services. If i ∈[a i , b i ], the current business is judged to be of medium priority; The allocation scheme is: Increase or adjust bandwidth allocation according to current business needs to balance network resource allocation for business and ensure normal business operation; If i <[a i , then the current business is judged to be of low priority; The allocation scheme is: Under the premise of meeting the basic needs of current services, reduce network resource allocation and wait for resource calls for high-priority services.

7. The method for dynamic resource allocation of a power heavy-duty optical cable transmission network according to claim 4, characterized in that: The method to evaluate network resources based on monitoring data and determine the current resource volume and potential resource bottlenecks is as follows: The calculated evaluation coefficient r is compared with the preset evaluation interval [r tx , r ty ] for comparison; like It is judged that the current network resources are insufficient or there is a potential resource bottleneck; If r∈[r tx , r ty ], it is judged that the current network resources are sufficient and there is no potential resource bottleneck.

8. The method for dynamic resource allocation of a power heavy-duty optical cable transmission network according to claim 7, characterized in that: like Then, the curves K1(t), K2(t), and K3(t) showing the optical cable bandwidth utilization, optical power loss, transmission delay value, and network congestion index changing with time in the preset time period t0-t1 are obtained respectively. os (t), K4(t), through the formula group: The deviation coefficients ΔMK1, ΔMK2, ΔMK3, and ΔMK4 of the optical cable bandwidth utilization, optical power loss, transmission delay index, and network congestion index are calculated respectively; where K 1c , K 2c , k th , K 4c The threshold is determined based on historical data analysis; Then ΔMK1, ΔMK2, ΔMK3, and ΔMK4 are compared with their respective warning values; If the condition that both ΔMK1 and ΔMK2 exceed the corresponding warning values ​​is met, it is determined that the current network resources are insufficient; If the condition that both ΔMK3 and ΔMK4 exceed the corresponding warning values ​​is met, it is determined that there is a potential resource bottleneck in the current network.

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