8 results about "Recovery method" patented technology

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology and medical health, and discloses a processing environment switching and recovery method, device, equipment and medium. The method comprises the steps that multi-source heterogeneous data in a main processing environment and a standby processing environment are acquired, and the system fault probability is obtained through multi-model collaborative prediction; a dynamic threshold value is generated in combination with a historical service period mode and a real-time service load, when the fault probability exceeds the threshold value, a switching strategy is generated based on the fault scene knowledge base and the service priority, and flow scheduling between the main processing environment and the standby processing environment is executed; and monitoring the business index of the standby processing environment during the scheduling period, and triggering the fusing rollback when the business index is lower than the health standard. According to the method, the fault identification precision is improved through multi-source data fusion and multi-model prediction, adaptive scheduling is realized in combination with a dynamic threshold and a switching strategy, and fusing rollback is triggered to guarantee high availability and data consistency, so that the continuity and stability of key services are enhanced.

The application provides an airline passenger trip recovery method, device and equipment and a storage medium, and relates to the technical field of air operation. Flight information of an abnormal flight is acquired; based on a clustering method, neighboring airports of a flight departure airport are aggregated according to an air route space-time network to obtain a multi-airport group region; a first user trip recovery model corresponding to the abnormal flight is constructed according to the flight information and the multi-airport group region, and the first user trip recovery model is used to reflect the correlation between ticketing revenue, compensation fees and traffic costs from the flight departure airport to the neighboring airports; and flight resources are allocated for users of the abnormal flight according to the first user trip recovery model. Through the multi-airport group region, the user is considered to be rebooked to other airports in the multi-airport group region and traffic costs, and a user trip recovery model that is more in line with actual conditions can be established, and feasible user trip recovery strategies are increased.

The invention discloses an ETC dynamic fusing and block chain traceability elastic recovery method and system, and relates to the technical field of intelligent traffic and ETC finance, and the method comprises the steps: carrying out the cleaning processing of multi-source fusion OBU data, and carrying out the time-space alignment standardization; constructing a multi-dimensional vehicle-mounted health degree index set, and obtaining a health degree multi-dimensional score; the method comprises the following steps of: establishing a fusing decision interval, mapping the fusing decision interval to a corresponding decision fusing measure, respectively storing equipment state data and payment transaction data to an equipment state chain and a payment data chain, and constructing a double-chain evidence storage mechanism through an SHA-512 Hash algorithm and zero-knowledge proof; and continuously monitoring the change of the multi-dimensional score of the health degree, and triggering a dynamic health degree recovery mechanism to execute an elastic recovery operation of a corresponding level when the health degree score obtained by elastic recovery crosses a hierarchical fusing decision interval and meets a stability observation window condition. According to the method, the differential recovery strategy is implemented for the emergency vehicle, and the secondary fusing rate is greatly reduced.

The invention discloses a power grid poisoning failure data recovery method and system based on attribute combination, and relates to the technical field of power grid data processing and information security, and the method comprises the steps: firstly marking a to-be-recovered data record and a failure attribute position after poisoning or failure data is detected; extracting various combinations of non-failure attributes in the record, and constructing a voucher group for estimating a failure value; counting all possible values and prior probabilities of failure attributes in the total data, and calculating the occurrence frequency of each voucher combination and the co-occurrence frequency of each voucher combination and candidate values; based on a conditional probability formula, the sum of the credibility of all the candidate values under all the voucher conditions is obtained, and the candidate value with the highest total credibility is selected to recover the failure position; and finally, writing the recovery value back to the data set to complete data recovery. High recovery accuracy can still be kept for high-failure-rate data, and key measurement data can be quickly recovered after a power system is subjected to data poisoning attack.

The embodiment of the invention discloses an equipment failure recovery method and device for an intelligent production line, equipment and a medium. The method comprises the following steps: acquiring equipment information of production equipment; according to the equipment information of the production equipment, determining faulted equipment in the production equipment; for the fault equipment, determining the replacement cost of the candidate equipment, and determining target replacement equipment from the candidate equipment according to the replacement cost of the candidate equipment; and replacing the fault equipment with the target replacement equipment to realize production line recovery. The equipment information of the production equipment is acquired in real time and analyzed, so that the faulted equipment in the production equipment can be quickly and automatically determined. The replacement cost of each candidate device is calculated through quantification, and a target replacement device is determined from the candidate devices based on the replacement cost. In this way, in the equipment selection process, fuzzy experience judgment is converted into accurate data decision, it is ensured that the selected equipment is the optimal solution, and therefore the operation quality and efficiency after the production line is recovered are guaranteed to the maximum extent.

The application discloses a two-stage delay recovery method based on interaction between airlines and passengers, including static and dynamic two stages, which can pre-specify and dynamically adjust the flight delay recovery plan. The static stage takes the aircraft flight as the recovery object, establishes a flight recovery model with the minimum sum of direct recovery cost and indirect recovery cost of the airline as the target, obtains the aircraft flight recovery plan, and publishes the scheme in the form of a recommended scheme to the passengers. The dynamic stage is based on real-time received passenger feedback, and adjusts the passenger itinerary recovery scheme in real time to minimize the passenger delay loss, and generates the final flight and passenger recovery scheme. The application can not only balance the economic cost of the airline and the delay loss of the passenger, but also consider the influence of the passenger itinerary recovery willingness on the preparation of the recovery plan, and is more in line with the actual situation of flight delay. It has wide application prospect and practical significance.

Embodiments of the present application provide an abnormal recovery method and device of a master and backup machine, equipment and a storage medium, relating to the technical field of task scheduling. The method comprises the following steps: when an automatic recovery mechanism of a message center is started, detecting running states of a master and a backup machine in a service system. If the running state of the master is closed, the running state of the backup machine is started, and the backup machine is in a master role state, starting the master to make the master in a backup role state; then closing the backup machine to make the master switch from the backup role state to the master role state, and starting the backup machine to make the backup machine in the backup role state. When the master is abnormally closed, the automatic recovery mechanism is used to automatically start the master, and the master is recovered to the master role state, and the backup machine is switched to the backup role state, so that the initial state of the master and the backup machine is automatically recovered when the master is abnormally closed, and the initial state of the master and the backup machine does not need to be manually recovered, thereby improving the efficiency of abnormal recovery, reducing the labor cost, and ensuring the stable operation of the business.