30results about How to "Improve disaster tolerance" patented technology

The invention provides a block chain data management method and system, and relates to the technical field of block chains, and the method comprises the steps: receiving and preprocessing an electronic file; encrypting the archive by using a public key and calculating a hash value; packaging the encrypted file and the hash value into a block chain transaction and broadcasting the block chain transaction; acquiring block information and safely storing the private key; verifying the integrity of the electronic file; recording a full life cycle operation log; the log is stored in an on-chain and off-chain combined mode; auditing the electronic file; and realizing access authority automatic management based on the intelligent contract. According to the method, the security, traceability and management efficiency of the electronic archives are improved.

The invention discloses a safe and rapid storage method and system for image data of an imaging department, and relates to the technical field of medical image data processing. The method comprises the following steps: 1, designing a distributed storage system, and selecting and configuring storage nodes; 2, selecting and updating an encryption algorithm, and implementing file-level and block-level encryption; 3, realizing accurate data deduplication by utilizing a machine learning technology, and selecting a proper compression algorithm; 4, constructing an index system, and establishing a data warehouse and a data lake by using big data analysis and machine learning technologies; 5, establishing an image data backup and recovery mechanism; and 6, constructing a data integrity checking and monitoring system. According to the invention, by adopting the technologies of distributed storage, encryption, data deduplication, compression, big data analysis, machine learning, backup and recovery, data integrity verification, monitoring and early warning and the like, efficient storage and safety protection of image data are realized.

The invention discloses a security protection method and system for an information management system and a storage medium, and relates to the technical field of security protection.During operation of the system, when a user logs in or carries out sensitive operation, multiple identity verifications are carried out, an identity verification coefficient AC is obtained through calculation, various security parameters in the system are collected and updated in real time, and the security protection efficiency is improved. A high-strength encryption algorithm is applied to data to be transmitted, an encrypted data packet is generated, a transmission encryption coefficient EC is obtained through calculation, corresponding access permissions are set for different data based on user roles, identities and access content, an abnormal monitoring coefficient ADC is obtained, and a comprehensive safety coefficient SEC is obtained through calculation according to an identity verification coefficient AC, the transmission encryption coefficient EC and the abnormal monitoring coefficient ADC. The overall safety of the system is dynamically evaluated, abnormal behaviors are recognized and logs are recorded by comparing the comprehensive safety coefficient SEC with a preset threshold value, and when the system detects an abnormal access mode, a safety alarm is triggered and countermeasures are taken.

The invention relates to the field of technical data acquisition, and particularly discloses a data acquisition method and device for an industrial Internet of Things and a storage medium, and the method comprises the following steps: S1, constructing a dynamic sensor network, and collecting the operation data of industrial equipment in real time through a multi-modal sensor; s2, dynamically adjusting a data acquisition frequency # imgabs2 # based on an environment noise coefficient # imgabs0 # and an equipment health index # imgabs1 #; s3, performing hierarchical compression and encryption on the acquired data, and allocating a compression rate # imgabs4 # and encryption strength # imgabs5 # according to data type importance # imgabs3 #; s4, executing load balancing through an edge computing node, and distributing a computing task to an optimal node; and S5, storing the processed data into a distributed database according to spatial-temporal correlation, and generating a multi-copy disaster recovery index. Through dynamic acquisition, intelligent processing, optimized storage and adaptive strategy adjustment, accurate and efficient data acquisition is realized, data security and processing performance are flexibly guaranteed, storage query efficiency and disaster tolerance capability are improved, and storage resources are utilized to the maximum extent.

The invention relates to the technical field of load balancing, in particular to a cluster-based load balancing implementation method, which comprises the following steps of: S1, defining load balancing requirements and targets; s2, selecting a load balancer; s3, deploying a load balancer; s4, configuring a server pool; s5, realizing a load balancing algorithm; s6, realizing a fault-tolerant processing mechanism; s7, a monitoring and alarming system; s8, recording and analyzing logs; s9, performing regular maintenance and optimization; and S10, continuously improving. The cluster internal network topology structure is optimized through the network optimization module, the data transmission efficiency and the response speed are improved, the system performance and the user experience are improved through the load balancer, the safety protection module, the prediction module and the data processing transmission module, and the stability and the performance of the whole system are improved. The higher disaster recovery capability is realized through the load balancing architecture module, the more accurate load distribution is realized through the algorithm processing module, the load balancing strategy is adjusted in advance through the load balancing adjustment module, and the intelligence is improved.

The invention discloses a Region-level remote disaster recovery method, system and device based on a Paas cloud platform and a medium, in the Paas cloud platform, a WAN optimization technology is adopted, and a data compression algorithm, an acceleration algorithm and a cache algorithm are adopted, so that the data transmission time delay and network congestion are reduced, and the data synchronization efficiency and speed are improved; a remote multi-activity technology is introduced, so that the main data center and the backup data center simultaneously provide services to the outside, high availability and disaster tolerance of services are ensured, the main data center is automatically switched to the backup data center when the main data center breaks down, and rapid fault switching is realized; a load balancing mechanism and a fault switching mechanism are adopted, the flow is automatically switched to the backup data center when the main data center breaks down, and rapid fault switching is achieved. By adopting the WAN optimization technology, the time and delay of cross-geographic-position data synchronization are reduced, and the reliability and real-time performance of data synchronization are ensured.

The invention belongs to the field of safe transmission of video monitoring code streams, and particularly relates to a method for realizing disaster recovery and rapid recovery of national standard superior services by using Redis record cascade and equipment information. A Redis storage management system is constructed to record cascading and equipment information, and when a service is restarted abnormally, link recovery or waiting for registration online is quickly judged according to Redis information. Multi-thread storage is adopted for first retrieval of shared device information, Redis and reported information at this time are compared during second retrieval, a lower level synchronously retrieves resource information from an upper level, a database and Redis are accurately operated according to information content by means of a Kafka component, all the steps work cooperatively, and the efficiency is improved. Disaster recovery and rapid recovery are effectively achieved when existing national standard cascade services face various emergencies such as service faults and network anomalies, the overall performance, the disaster recovery capacity and the data accuracy are improved, and the requirements of a video monitoring system for efficient, stable and reliable operation and accurate resource sharing are met.

The invention relates to an unmanned aerial vehicle flight control system and method capable of being upgraded in flight, a medium and equipment, the flight control system comprises a peripheral communication subsystem, a flight control subsystem and an execution subsystem, firmware upgrading can be carried out in the normal flight process, the whole flight control subsystem adopts a distributed three-redundancy design, and the flight control subsystem can carry out firmware upgrading in the normal flight process. The operation reliability of the flight control system is synchronously improved, failure faults in the flight process are avoided, the flight control system has reliable wireless upgrading capacity, the method can be applied to algorithm updating and conventional flight of a large-scale unmanned aerial vehicle cluster, and the convenience, safety and reliability of the flight control system can be improved. According to the invention, the flight control subsystem with the air firmware upgrading capability based on three redundancies is arranged, so that the method has the capability of coping with the out-of-control risk under extreme abnormal conditions and the capability of reliably upgrading the flight control firmware of the unmanned aerial vehicle in the air.

The present invention discloses a system and method for generating an identifier, and relates to the field of computer technology. A specific implementation of the system is as follows: the system includes multiple centers, and an identifier generation interface module and a global identifier management module are deployed on each center; the identifier generation interface module is used to obtain a target key value corresponding to an identifier generation request, send the target key value to the global identifier management module, and then receive a target virtual node determined according to the key value sent by the global identifier management module, and generate a target identifier using the target virtual node; the global identifier management module is used to receive a target key value sent by the identifier generation interface module, determine a target virtual node according to the target key value, and send the target virtual node to the identifier generation interface module. The system of the embodiment of the present invention can improve the efficiency of identifier generation and enhance the disaster recovery capability of the identifier generation system.

According to the top heat dissipation type liquid cooling container and the application control method thereof, the cooling tower container top arrangement design is adopted, a CDU module is omitted, the overall cost is reduced, more Tanks can be deployed in the spare space after the CDU module is omitted, and the computing power of a single liquid cooling container is greatly improved. The cooling tower is compact in structural form, low in space occupancy rate, higher in integration degree and good in universality and reliability, and the ground space of the cooling tower is saved. After a certain cooling tower fails, normal operation of other devices is not affected, and the disaster recovery capacity is improved. The cooling tower and the Tank carry out heat exchange one by one, the heat dissipation efficiency is higher, the number of water cooling pipelines is smaller, and the integration degree is higher.

The application relates to the technical field of blockchains, and discloses a work authorization circulation method and system based on a blockchain, which comprises the following steps: integrating a heterogeneous cross-chain authorization network of works to be authorized; extracting work features of the works to be authorized, generating work unique identifiers of the works to be authorized, performing symmetric encryption on the works to be authorized, storing the encrypted data block set in layers into the heterogeneous cross-chain authorization network, notarizing the works to be authorized, and obtaining notarized works; configuring authorization parameters of the notarized works, calculating market supply and demand coefficients of the notarized works, calculating time decay factors and reputation decay factors of the notarized works, generating an access control matrix of the notarized works, and constructing authorization tokens of the notarized works; calculating the satisfaction degree of an authorization request and the access control matrix, reading a current token state of the authorization token, generating an authorization credential of the authorization request; decrypting the notarized works, and generating an authorization report of the notarized works. The application can improve the confidentiality and security of work authorization circulation.

The invention relates to the technical field of industrial Internet of Things and big data information processing, in particular to an industrial Internet equipment health fault monitoring system and method, which comprises a processing system and an acquisition subsystem, and is characterized in that the acquisition subsystem is arranged at industrial Internet equipment, the processing system is arranged in a remote monitoring room, and the processing system is connected with the processing system. The acquisition subsystem is in communication connection with the processing system; according to the method, the operation of the equipment is judged by detecting the workpiece, when it is judged that the workpiece is machined correctly, the processing system cannot analyze the collected equipment data, and only when it is detected that the workpiece machining does not meet the machining requirement, the processing system can analyze the collected corresponding equipment data; in the detection process, a large amount of collected equipment data does not need to be analyzed in real time, the problems of data redundancy and the like can be avoided, accurate and rapid analysis of the data is achieved, and the problems that a monitoring system is blocked and the analysis speed is affected due to analysis of a large amount of real-time data are solved.

The application discloses a kind of key efficient management methods based on national secret algorithm, it is related to information security and data storage technical field, including the following steps: step one, generating master key MK and storing in secure encryption hardware, using master key is encrypted by national secret algorithm and is transformed to obtain protection key PK1;Step two, administrator inputs protection password and the key ciphertext data needing storage, and uses SM3 algorithm to calculate the input protection password, obtains protection key PK2;Protection key and national secret algorithm are used to encrypt the key data, wherein, the generation mode of protection key PK1 is fixed and depends on master key and protection factor S, the generation mode of protection key PK2 is determined by the password input by administrator, the complete independent controllable of protection key and encryption algorithm is realized, at the same time, the storage of key and the access of key are operated in the form of ciphertext, greatly improve the security of key.

The invention provides a request processing method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of software architecture under Java ecology, and the method comprises the following steps: receiving a request, packaging the request into a Fiber task, and carrying out asynchronous processing; in the Fiber task asynchronous processing process, the dependency service is accessed in an asynchronous non-blocking mode, and a user response is formed according to dependency data and task logic; and writing back the user response to the user side in an asynchronous non-blocking mode. Through the technical scheme in the embodiment of the invention, the system resource utilization rate and the disaster recovery capability in a high-concurrency scene can be improved, and the service deployment cost is reduced.

The invention provides a base station fault processing method, a base station and a computer readable storage medium. The method comprises the following steps: a sub-base station in a base station group determines a self fault and / or a main base station fault according to a first condition that the sub-base station receives a message from the base station group, that is, the current sub-base station cannot complete a corresponding function of a sub-machine mode, so that the sub-base station switches a working mode of the sub-base station from the sub-machine mode to a single-station mode, and the sub-base station does not complete the corresponding function of the sub-machine mode. And the sub-base station continues to provide service for the terminal equipment in the single-station mode. Therefore, after the sub-base station determines that the sub-base station cannot complete the corresponding function of the sub-machine mode, the sub-base station automatically switches the working mode into the single-station mode and can continue to provide services for the terminal equipment, so that the disaster recovery capability is improved and the maintenance cost is reduced.

The invention relates to a data processing method, a business system and a storage medium. The method comprises the steps that in response to an execution request sent by a target object for a target task, a first state machine cluster determines a first class matching state of the target object based on the target object and a plurality of first candidate objects; when the first type of matching state indicates that the object is successfully matched, the second state machine cluster determines a corresponding intention state based on the current operation information of the target object; and when the first type of matching state indicates that the object matching fails, the third state machine cluster determines a second type of matching state of the target object based on an object matching result of the auxiliary server, and when the second type of matching state indicates that the object matching succeeds, the third state machine cluster determines a second type of matching state of the target object. And determining a corresponding intention state based on the current operation information of the target object by using the second state machine cluster. According to the invention, the stability and disaster recovery capability of the service system are improved. The embodiment of the invention can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation, intelligent entertainment and the like.

The invention discloses a server detection method and device, a storage medium and electronic equipment. The method comprises the following steps: sending a target state detection request to a reference server through a target proxy server at a first moment; under the condition that the reference state information is not received through the target proxy server at the second moment, determining that the reference server is in an abnormal state; under the condition that the reference state information is received through the target proxy server before the second moment, obtaining state identification information carried in the reference state information; under the condition that the state identification information is matched with the target state identification information, determining that the reference server is in a normal operation state; and when the state identification information is not matched with the target state identification information, determining that the reference server is in an abnormal state. The technical problem that the stability of a server cluster is affected due to tight coupling of configuration levels of an agent end and a back-end server is solved.

The invention belongs to the technical field of new energy battery sealant manufacturing, and discloses photo-thermal dual-curing long-acting sealing silicone rubber as well as a preparation method and application thereof, and the preparation method comprises the following steps: S1, preparing raw materials according to a mass part ratio, including platinum catalyst slow-release microcapsules; s2, preparing a silicone rubber base material; and S3, preparing the long-acting sealing silicone rubber, wherein the two molecular groups participate in UV curing and thermocuring respectively under the action of the polymerization inhibitor. The invention also discloses the photo-thermal dual-curing long-acting sealing silicone rubber prepared by the method, and application of the silicone rubber in manufacturing of new energy batteries. The platinum catalyst sustained-release microcapsule which passively releases the catalyst to initiate the thermocuring reaction is prepared, and two-step curing is adopted, so that a structural adhesive layer respectively meets the performance requirements of a structural sealing stage and a disaster tolerance stage, and the defects that an existing sealant is long in curing time, does not have disaster tolerance performance and the like can be overcome; the method can be widely applied to manufacturing of hydrogen fuel cells or lithium batteries.

The invention relates to the technical field of photovoltaic energy storage, in particular to a photovoltaic energy storage automatic switching system, which comprises an electric power complementation unit, an automatic switching unit, a photovoltaic power generation unit and an energy storage unit, and is characterized in that the electric power complementation unit and the photovoltaic power generation unit are electrically connected with the automatic switching unit through wires; the automatic switching unit is electrically connected with the energy storage unit through a wire, the photovoltaic power generation unit is used for supplying power to the energy storage unit, and the electric power complementation unit is used for performing electric power complementation on the energy storage unit; for large-scale and long-time power supply, the system has the advantages of high power supply stability and low maintenance cost, does not need to additionally add an energy storage battery, greatly reduces the cost of photovoltaic energy storage, can simulate the operation of the power complementation unit, the photovoltaic power generation unit and the energy storage unit, predicts the future power utilization condition through simulation, and improves the power supply efficiency. Power supply to photovoltaic energy storage is regulated and controlled in time, and the problem of power supply interruption caused by untimely switching is avoided.

The invention belongs to the technical field of cloud computing and virtualized containers, and relates to a collaborative backup and cross-cluster quick recovery method based on a container cloud platform underlying component. Comprising the steps that in the production cluster timing backup stage, Ceph Storage is used as a default storage class of a container cluster, platform cluster resources, configuration resources and storage volume information are backed up in a timing mode through Velero, and backup resource list data are exported to high-availability storage in Minio; and in a cross-cluster recovery stateful service stage, uploading backup data in a new cluster Mini, recovering a Ceph CSI plug-in through Velero, recovering cluster configuration, and recovering stateful services and corresponding storage volumes in a container cluster. According to the method, the stateful service application can be quickly recovered in a cross-cluster manner through the backup resource list data when the container cloud platform has a disaster, and the real-time performance of online services is ensured.

The invention discloses an RRC (Radio Resource Control) connection control system and method under a network fault condition. The system comprises an RRC connection control module. The method comprises the following steps: setting an IMSI white list of a high-priority user, judging whether the user is the high-priority user or not through an IMSI number segment, and transmitting a user level and the IMSI to an RRC connection release batch calculation module; the RRC connection release batch calculation module calculates the release batch of the user according to the user level and the last four digits of the IMSI; and dynamically adjusting the time interval of batch release according to batches. According to the method, the user type is determined by identifying the IMSI number segment, the users are discretely batched based on the specific formula, it is guaranteed that the high-priority users can be preferentially released, network resource management is optimized, and the disaster recovery capacity is improved.

The invention relates to the technical field of payment system disaster recovery, and provides a third-party payment system disaster recovery method and a third-party payment system.The disaster recovery method comprises the steps that future loads of distributed database nodes are predicted through a time sequence prediction model, and resource allocation is dynamically adjusted; constructing a distributed database resource occupation vector according to the resource parameters of the distributed database; calculating an abnormal score of each moment according to the isolation tree; judging an abnormal node according to the abnormal score and a dynamic threshold value, and carrying out resource redistribution on the abnormal node; and if the multiple abnormal scores of the node are greater than the dynamic threshold, the node is isolated, and stable operation of the database is ensured. According to the invention, through combination of the distributed database and the micro-service architecture, the high availability and disaster recovery capability of the system are enhanced, reliable operation of the micro-service architecture is ensured by adopting the time sequence prediction model, and abnormal nodes are isolated in time through the Isolation Forest algorithm to maintain the stability of the system.

The present invention relates to the field of databases, and specifically provides a database cluster master-slave method, which has the following steps: S1, after opening a transaction, a unique transaction ID is obtained and returned to the client; S2, the user sends an SQL sql1 to the connection node, and the connection node forwards the received sql1 to the corresponding coordinator node for execution, responds to the connection node after the execution is completed and returns to the client, and at the same time sends the SQL statement or the Key-Value data corresponding to the SQL statement and the dependency relationship between transactions to the Merge module of the backup site; S3, the user sends a second SQL sql1, and the process is the same as the above step S2; S4, the user sends a commit / abort statement, and the transaction enters the commit stage; S5, after receiving the commit, the Merge module of the backup site verifies whether the transaction is complete through the key span recorded in the transaction and the last version number of each range. Compared with the prior art, the present invention can quickly switch to the backup database after the main database fails, thereby improving the disaster tolerance capability of the database.

The present invention provides a system for microservice management, including a preset management center, a main launcher, a preset service registration interface, a timed task container, a health check loader, a global serial number generator, a command line tool and a service launcher. The preset management center is used for registration and configuration management of microservices; the main launcher is used to call and start the preset service registration interface and the timed task container, and start the preset management center when the service application is started; the preset service registration interface is used to provide a service port; the timed task container is used to call the health check loader and the global serial number generator; the command line tool is used to perform data query operations on the preset management center when performing microservice management; the service launcher is used to respond to the call of the main launcher and start the preset management center. In this way, the deployment and operation and maintenance costs of microservices are reduced, and the disaster recovery capabilities of the registration center and configuration center of the microservice application are improved.

The application discloses a seamless degradation method for streaming speech translation, comprising the following steps: constructing an audio buffer queue independent of a speech recognition engine and a translation engine on a server, and appending all received audio streams to the audio buffer queue; constructing a speech recognition degradation link comprising at least two speech recognition engines, and a translation degradation link comprising at least two translation engines; if the current speech recognition engine fails, starting the next priority speech recognition engine, and migrating the session core metadata of the audio buffer queue to the new engine through a state transition algorithm, so that the new engine continues to recognize from the queue breakpoint; if the current translation engine fails, retaining the original text and context information of the current translation task, starting the next priority translation engine, and injecting the original text and context information into the new engine for silent retry. Seamless switching is realized when the underlying service fails.

The invention discloses a fund clearing method and system, and the method comprises the steps: carrying out the clearing and mannequing processing through a first clearing and mannequing system of a main IDC, obtaining the mannequing net amount data, reporting the mannequing net amount data to a first clearing instruction system of the main IDC, carrying out the clearing and mannequing processing through a second clearing and mannequing system of a parallel-running IDC, obtaining the mannequing net amount data, and reporting the mannequing net amount data to a second clearing instruction system of the main IDC; reporting to a second clearing instruction system of the parallel running IDC; first clearing instruction information is generated through the first clearing instruction system according to the received mannequin net amount data, and second clearing instruction information is generated through the second clearing instruction system according to the received mannequin net amount data; and the first clearing instruction system reports the first clearing instruction information to the large-amount payment system, and the second clearing instruction system does not report the second clearing instruction information to the large-amount payment system, so that the large-amount payment system carries out clearing according to the first clearing instruction information. According to the method and the system, the disaster recovery capability of key data of liquidation instruction information can be improved.

The invention provides a system for micro-service management. The system comprises a preset management center, a main starter, a preset service registration interface, a timed task container, a health check loader, a global serial number generator, a command line tool and a service starter. The preset management center is used for micro-service registration and configuration management; the main starter is used for calling and starting a preset service registration interface and a timed task container and starting a preset management center when the service application is started; the preset service registration interface is used for providing a service port; the timed task container is used for calling the health examination loader and the global serial number generator; the command line tool is used for carrying out data query operation on a preset management center when micro-service management is carried out; and the service starter is used for responding to the calling of the main starter and starting the preset management center. Therefore, the deployment, operation and maintenance cost of the micro-service is reduced, and the disaster tolerance capability of the registration center and the configuration center of the micro-service application is improved.

The invention discloses a data intelligent encryption storage protection implementation method for image cloud, and relates to the technical field of data security, and the method comprises the steps: obtaining an image service data set, distributing a data identifier for each piece of image service data, summarizing the image service data set and the corresponding data identifier, and forming a to-be-encrypted list; generating a random seed and a timestamp for each piece of image service data in the to-be-encrypted list, combining the random seed and the timestamp according to a splicing rule to form a data key of the current image service data, and summarizing the data identifier, the random seed and the timestamp to form a key metadata set; and based on the data key corresponding to each data identifier in the key metadata set, performing symmetric encryption operation on the corresponding image service data to generate initial encrypted data. According to the invention, the independent and unique data key is generated for each piece of image service data, so that the permeability resistance and disaster tolerance of the image cloud data storage system are improved.

The embodiment of the invention discloses a method and a device for realizing data synchronization among multiple nodes based on a block chain, a storage medium and electronic equipment, when a target node on the block chain receives block data sent by a first node, the stored data stored by the target node is firstly updated, and then the data is compared with other adjacent nodes, so that the data synchronization among the multiple nodes is realized. The data of the adjacent nodes are synchronized to be consistent with the data of the target node, and even the data of other nodes of the block chain are synchronized to be consistent.