13results about How to "Improve failure recovery efficiency" patented technology

The invention provides an interconnection communication system based on multiple mesh circuits, and belongs to the technical field of communication network management, and the system comprises a tensor obtaining module which collects basic parameters of network nodes, constructs a multi-dimensional tensor, and expands the multi-dimensional tensor to obtain an expanded multi-dimensional tensor; the model building module is used for decomposing the extended multi-dimensional tensor and building a global network topology model based on a decomposition result; the model analysis module is used for analyzing the global network topology model and determining an initial path candidate set based on an analysis result; the path determination module is used for selecting an optimal path from the initial path candidate set based on a preset algorithm, and taking the optimal path as a main path for communication resource transmission; and the fault processing module is used for deploying a preset monitoring tool at each network node to monitor the operation parameters of each link in real time, and triggering a fault report mechanism and starting a fault processing flow when an agent detects that the link is abnormal. And the intelligence and reliability of network management are improved.

The invention relates to the technical field of artificial intelligence, and provides a fault recovery method and device, electronic equipment and a storage medium, and the method comprises the steps: stopping executing a local training process corresponding to a training subtask under the condition that the training process is detected to be abnormal or a remote node fault notification is received, checking the health state of the local hardware to obtain a checking result; and performing dynamic networking based on the check result, and restarting the local training process after the networking is successful to recover the execution of the training sub-task. According to the method, the fault discovery time can be shortened and the fault recovery efficiency can be improved by introducing the remote node fault sensing capability, and potential hardware problems can be identified before the training process is restarted by checking the health state of local hardware, so that the occurrence of repeated faults is avoided.

The DASAC-based micro-grid fault recovery method comprises the following steps: establishing a micro-grid fault recovery model considering DG output and load demand time variation; the method comprises the following steps: converting a fault recovery problem of a micro-grid into a constrained nonlinear programming problem, constructing a double-agent reinforcement learning model by taking the minimum fault recovery cost of the micro-grid as a target, and distributing discrete and continuous double agents for different action types in an action space for control; a DASAC method is provided, efficient self-adaptive training learning is carried out on the double-agent reinforcement learning model, and the fault recovery efficiency is improved to meet the operation requirements of the micro-grid. According to the DASAC-based microgrid fault recovery method provided by the invention, discrete and continuous actions are processed respectively, so that the fault recovery efficiency is improved, the training process is simplified, and the robustness and adaptability of the system are enhanced.

The invention discloses a method for considering collaborative participation of multiple types of mobile emergency power supplies in power supply recovery of a distribution network, and aims at a faulted power distribution network to participate in power supply recovery of the distribution network by utilizing a two-stage elastic recovery model of the multiple types of mobile emergency power supplies. Firstly, traffic route information and power distribution network load data are acquired; then, generating a potential fault scene based on a Monte Carlo simulation method; thirdly, based on the potential fault scene, an integer nonlinear programming model is used for determining the optimal number and segment positions of the charging stations and the maintenance stations; secondly, acquiring actual fault scene data, and evaluating fault damage and available resources; and finally, based on the mixed integer linear programming model, load and power distribution systems are recovered by optimizing scheduling of multiple types of mobile emergency power supplies on the transportation network. The two-stage elastic recovery model of the multi-type mobile emergency power supply participates in the power supply recovery of the distribution network, so that the fault recovery of the distribution network can be realized in the shortest time, and the fault recovery efficiency of the distribution network is improved.

This application discloses a method, apparatus, device, and storage medium for dynamic isolation and allocation of virtual network addresses, relating to the field of virtual internet technology. The method includes receiving resource request information from a user, determining the currently allocated target virtual network address, and then determining the target network access zone where the target virtual network address resides; obtaining the target tenant identifier corresponding to the target network access zone; and accessing resource information under the target tenant associated with the target tenant identifier through the resource request information. By establishing the correspondence between the target virtual network address, the target network access zone, and the target tenant identifier, the method solves the problems of missing tenant isolation and inefficient fault recovery in related technologies, thereby achieving technical effects such as improved fault recovery efficiency, reduced data leakage risk, and enhanced data security.

The present invention provides an interconnected communication system based on multiple mesh circuits, belonging to the technical field of communication network management, and comprising: a tensor acquisition module: collecting basic parameters of network nodes, and then constructing a multidimensional tensor, and expanding the multidimensional tensor to obtain an extended multidimensional tensor; a model construction module: decomposing the extended multidimensional tensor, and establishing a global network topology model based on the decomposition result; a model analysis module: analyzing the global network topology model, and determining an initial path candidate set based on the analysis result; a path determination module: selecting an optimal path from the initial path candidate set based on a preset algorithm, and using the optimal path as a main path for communication resource transmission; a fault handling module: deploying a preset monitoring tool at each network node to monitor the operating parameters of each link in real time, and when the agent detects that the link is abnormal, triggering a fault reporting mechanism and starting a fault handling process. The intelligence and reliability of network management are improved.

The application provides a fault processing method, a control system of an automatic driving vehicle and an electronic device, and the method comprises the following steps: in response to receiving a fault recovery instruction, acquiring fault data; in the case that a fault type corresponding to the fault data is a white list fault, performing a first fault clearing operation to obtain a first fault clearing result, the white list fault being a fault which does not affect the formation driving performance in the case that the automatic driving mode is not degraded; in the case that the first fault clearing result shows that there is fault data which is not successfully cleared, performing a second fault clearing operation on the fault data which is not successfully cleared, and the processing capacity of the second fault clearing operation is higher than that of the first fault clearing operation. Through the application, the technical problems of high labor cost, low efficiency and low safety and reliability of the fault recovery mode are solved, and the technical effects of completely unmanned operation of the following vehicle, reduction of labor cost, improvement of fault recovery efficiency and improvement of vehicle control reliability are achieved.

The application discloses a kind of multi-source operation and maintenance resource intelligent scheduling method and system for power system fault recovery, the method extracts fault alarm data and resource state data from dispatch management system, constructs fault recovery task set;Then the multi-dimensional attributes such as skill level, historical success rate, geographic location and equipment state are calculated to obtain the comprehensive value of operation and maintenance resource capability, and the resource collaborative closeness value matrix is constructed according to the historical cooperation record;On this basis, the comprehensive scheduling value function is constructed with the core of capability matching value and team collaborative value, and the safety constraint penalty term is embedded;Finally, the optimal response algorithm driven by iterative migration-exchange double operator is adopted, and the Nash equilibrium scheduling scheme is converged in polynomial time, and the complete scheduling strategy containing resource list, task sequence and safety check result is output.The application can significantly improve the efficiency of fault recovery, reduce the conflict rate of cross-regional scheduling, and is suitable for complex power grid fault repair scenarios of 110kV and above voltage level.

The invention provides a data recovery method and device of a storage system, electronic equipment and a storage medium, and relates to the technical field of distributed storage. The free storage space is used for generating a locally optimized redundant data block which coexists with an original redundant data block of the data object and can recover data in a smaller fault domain range, and when a storage fault is detected, the corresponding redundant data block is selected and called according to the fault range to execute recovery operation. The problems that in the prior art, due to the fact that the locality of erasure codes is insufficient and the fault domain range of original redundant data block recovery data is large, data needs to be accessed across multiple nodes during fault recovery, the transmission amount is large, the recovery speed is low, and the system load is high can be solved, and the purposes of optimizing the locality of the erasure codes, flexibly adapting to different fault scenes and improving the recovery efficiency are achieved. And the cross-node data transmission overhead is reduced, the fault recovery efficiency is improved, and the overall load of the system is reduced.

The invention discloses a fault diagnosis and self-healing closed-loop method for thermal power equipment, which solves the problems of high arrangement cost, complex diagnosis rule and low fault recovery efficiency of a fault case knowledge base in the prior art, and comprises the following steps: carrying out fault case arrangement based on a large language model to form the fault case knowledge base; parameter anomaly detection is carried out in the equipment operation process, text description is carried out on early warning information, and early warning text information is generated; performing fault diagnosis on the early warning text information based on a large language model, and generating self-healing operation recommendation; and according to the self-healing operation recommendation, performing self-healing through a dependency inversion closed loop based on an optimized DAG scheduling algorithm. According to the method, the arrangement cost of the fault case knowledge base and the fault diagnosis complexity are reduced, and the fault recovery efficiency is improved.

The invention discloses a network fault recovery method, system and device, a medium and a program product, which are used for improving the recovery efficiency of network faults and ensuring the stability and reliability of network services. The method comprises the steps that when it is determined that a network in a target cluster where the device is located breaks down, cooperation requests used for requesting communication resources in other clusters are sent to a global controller; a cooperation request response message sent by the global controller is received, the cooperation request response message comprises communication resources of cooperation clusters, and the communication resources of the cooperation clusters are determined by the global controller based on the communication resource states of the other clusters; and performing fault recovery based on the communication resources of the cooperative cluster.

The application relates to a train redundant positioning method, system, equipment and medium based on a CBTC system, which comprises the following steps: an auxiliary positioning system BLS with independent speed measurement function and beacon reading function is configured on a train; when a vehicle-mounted controller CC and the auxiliary positioning system BLS can normally position, the vehicle-mounted controller CC and the auxiliary positioning system BLS independently position respectively, a trackside area controller ZC manages train tracking according to positioning information of the vehicle-mounted controller CC; when the vehicle-mounted controller CC is out of position and outputs emergency braking, the trackside area controller ZC receives an out-of-position state of the vehicle-mounted controller CC, and is switched to manage train tracking according to positioning information of the auxiliary positioning system BLS; after the train is parked, the vehicle-mounted controller CC repositions according to the positioning information of the auxiliary positioning system BLS. Compared with the prior art, the application has the advantages that the application realizes fault non-degradation and rapid recovery of operation, improves signal system resilience, effectively alleviates the great influence of train out-of-position on operation and the like.

The invention provides a network service fault recovery method and device, electronic equipment and a storage medium, and the method comprises the steps: determining the initial bandwidth of a protection path corresponding to a first type of network service when the fault of the first type of network service is determined; determining whether a target network bandwidth corresponding to the first type of network services is greater than the initial bandwidth; in response to determining that the target network bandwidth is greater than the initial bandwidth, adjusting the initial bandwidth, so that the adjusted initial bandwidth is greater than or equal to the target network bandwidth; and recovering the first type of network services based on the protection path after the initial bandwidth is adjusted, so that the protection path only reserves a small amount of initial bandwidth when the first type of network services do not fail, and when the first type of network services fail and the target network bandwidth required by the first type of network services is greater than the initial bandwidth, the protection path only reserves a small amount of initial bandwidth. The service recovery function of the protection path is met by adjusting the initial bandwidth, and the network service fault recovery efficiency is improved.