20results about How to "Avoid data inconsistencies" patented technology

The present invention discloses a third party registration processing method based on the IMS network, which comprises that a UE completes the registration on a S-CSCF entity; the S-CSCF entity starts a waiting timer; the UE and a P-CSCF entity initiate and complete a registration status subscribing respectively to the S-CSCF entity; the S-CSCF entity initiate a third party registration to an AS when the waiting time of the waiting timer is enough. Through the present invention, the S-CSCF entity performs a waiting after the UE is successfully registered, to make the subscribing success of the registration status of the P-CSCF and the UE take precedence over the third party registration and avoid the situation of conflicting data of the UE, the P-CSCF, the S-CSCF and an HSS, to make the UE, the P-CSCF and the S-CSCF effectively process the abnormal circumstance occurred when the third party registration fails.

The invention provides a credential platform data migration verification method and system, and relates to the technical field of computers.The method comprises the steps that all to-be-migrated source data in a credential platform database are read, basic information of the source data is obtained, and a data label is set for each piece of data; reading fields and contents in the migration data, and constructing a data similarity verification model; selecting a migration path and a target database according to the migration demand, and dynamically evaluating the similarity between the source data and the target data through a data similarity verification model; verifying the migrated source data based on the target database, and performing incremental verification on data of different fields in the table; the data table of the to-be-migrated source data is verified in real time among different migration nodes, data changes on each node are verified step by step through an increment verification mechanism, if data missing or verification inconsistency occurs in the verification process, an alarm mechanism is triggered, and the problem of data missing or inconsistency can be automatically recognized and corrected.

The invention discloses a data consistency processing method and device in a real estate sales system, a redis service module is combined in the system, and a backup version number of target data is stored by using the redis service module in advance, and the method comprises the following steps: when a first client accesses the target data, the first client stores the backup version number of the target data; providing the data content and the first version number of the target data for the first client; the first version number is equal to a backup version number at a first access moment; when the first client modifies the data content of the target data and submits the modified target data to the system at a first submission moment, verifying the first version number by using the backup version number; and if the verification is passed, storing the modified target data, and updating the backup version number.

The application discloses a cotton bale detection method based on multi-modal data timestamp synchronization and GPU / CPU collaborative acceleration, collects multi-modal data, marks timestamps, and performs GPU accelerated distortion correction on cotton bale images; the multi-modal data is synchronized and integrated according to timestamps; a main program adopts Nodelet combined with C++ multi-threading technology to process the reception of multi-modal data and the publication of multi-modal sensor coordinate systems in parallel, the main program running optimizes the transmission efficiency of multi-modal data; a cotton bale detection model is constructed, the optimized multi-modal data are input for training, the cotton bale detection model after training is optimized using TensorRT, and cotton bale images are input for inference, cotton bale target recognition data are obtained and transmitted to a CPU for post-processing operation, and OpenMP is used to accelerate point cloud traversal in the main program to match the cotton bale target recognition data with laser radar point cloud data; the matched multi-modal data are subjected to point cloud feature and plane fitting calculation, and the rectangular frame, pose information and score of the cotton bale target are obtained.

The application provides a method and system for generating authentication documents, and relates to the technical field of software architecture design. The method comprises the following steps: obtaining a user request for generating an authentication document; in response to the user request, performing unified code encapsulation processing on a business entity through a general controller based on generic abstraction to obtain underlying support data for providing unified data for a form engine and a fragment engine; according to the underlying support data, calling a plug-in data builder through the form engine to construct form data; according to the form data, calling a plug-in fragment builder through the fragment engine to construct HTML fragment data; using a rendering template to perform rendering processing on the HTML fragment data and form data associated with the HTML fragment data to generate rendering content of the authentication document; and returning the rendering content to a user end to generate the authentication document.

The application relates to a driving type travel text stream switching and multi-view synchronization method, which comprises the following steps: a front end acquires user natural language input, semantic analysis and entity extraction are carried out by a multi-agent system, and structured travel data is generated; travel suggestions are generated in combination with user preferences and destination resources, are pushed to the front end in a streaming mode to form a to-be-confirmed travel document, and are verified and solidified after being confirmed by the user to obtain a formal travel document; the formal travel document is taken as a unified data source, contract documents and propaganda pictures are automatically generated through a template engine and a rendering tool, and access links are stored and acquired; the formal travel document is synchronized to multiple business systems, and is adaptively displayed on the front end according to permission control. The application realizes driving type generation and stream interaction of travel texts, ensures that multi-view data is homologous and automatically synchronized, and improves the intelligent level of travel planning, the data processing efficiency and the cross-system reuse ability.

The invention relates to a session holding method and device, computer equipment, a computer readable storage medium and a computer program product. The method is applied to a first load balancer in a load balancing cluster, and the load balancing cluster further comprises at least one second load balancer. The method comprises the following steps: receiving a client request message distributed by a router; querying a target server corresponding to the client request message; based on the client request message and target server information of the target server, generating first session keeping connection information, and sending the first session keeping connection information to each second load balancer; and sending the client request message to the target server. By adopting the method, the service quality can be improved.

The invention relates to a point-of-sale server cluster scheduling method and device and computer equipment. The method comprises the following steps: disassembling point-of-sale service batch jobs to obtain job link execution links of the point-of-sale service batch jobs; according to the operation link execution link, determining link execution time corresponding to each service node in the point-of-sale server cluster; for any service node in the point-of-sale server cluster, in response to the link execution time when the current time reaches the service node, querying the completion state of each operation link in the operation link execution link; and according to the completion state of each operation link, determining a target operation link in each operation link, and controlling the service node to execute the target operation link until the execution of the last operation link in the operation link execution link is completed by the service node. By adopting the method and the device, the execution efficiency of the point-of-sale server on batch jobs can be improved.

An apparatus and method for performing atomic operation. The apparatus for performing atomic operation comprises a remote direct memory access network interface card (RNIC) and an input / output memory management unit (IOMMU), the RNIC is configured to send a read memory instruction to the IOMMU, the read memory instruction comprises a target storage address; the IOMMU is configured to read operation data from a target storage space corresponding to the target storage address in an exclusive manner, and send the operation data to the RNIC, the target storage space is provided by a memory; the RNIC is further configured to perform an operation on the operation data to obtain an operation result, and write the operation result into the target storage space through the IOMMU. The apparatus provides a basic guarantee for the consistency of data storage in the memory, and avoids the problem of data inconsistency.

The invention relates to the crossing field of artificial intelligence and medical information technologies, and discloses a medical agent, method and equipment based on large language model driving. The system receives a user request through a multi-modal input interface, and a tool calling decision module performs semantic understanding and automatically decides an execution path: 1, a medical service tool set is called to complete operations such as appointment registration and the like, and a database is directly inquired through a service data coordination module to perform parameter verification and consistency maintenance in the process; an anti-illusion business operation core is formed; and 2, starting a hybrid retrieval enhancement generation framework, cooperating with a vector knowledge retrieval module and a real-time information acquisition module, and providing professional and real-time knowledge support for a large model. According to the invention, in combination with the dialogue memory management module, integrated intelligent processing from natural language medical consultation to accurate and reliable business operation is realized, and the problems of information illusion, insufficient multi-modal ability and knowledge update lag in the prior art are effectively solved.

The invention discloses an automatic driving data processing method based on vehicle-road cloud collaboration, and the method specifically comprises the steps: generating driving data through a vehicle end after a vehicle starts automatic driving, and carrying out the structural arrangement of the driving data; in the automatic driving process, whether a road side unit exists or not is detected in real time, when it is determined that the road side unit exists, structured driving data are preprocessed preferentially through the road side unit and then uploaded to the cloud through a preset data interface module, and the cloud stores the structured driving data through a preset database. Real-time processing and offline analysis are carried out on the driving data based on a big data processing algorithm; and when the vehicle end requests operation from the database of the cloud end through the data interface module, automatic driving control and / or automatic driving function updating can be realized. According to the method, the accurate automatic driving decision is effectively ensured, in addition, the change requirement of the data structure can be flexibly met, the method is suitable for automatic driving function iteration, and the retrieval and processing efficiency is remarkably improved through the cloud database.

The embodiment of the invention provides a data replication method and device, electronic equipment and a storage medium, and belongs to the technical field of big data. The method comprises the steps that configuration information is obtained, the configuration information comprises data information of a source data table and an identifier of a target library, and the data information comprises a first table name and a table structure of the source data table; processing the table structure according to a first rule to obtain a first identifier; the first table name is matched with a second table name in a metadata record table to obtain a target record item, the metadata record table comprises a plurality of record items, each record item comprises the second table name and a second identifier, and the second identifier is obtained by processing a table structure corresponding to the second table name according to a first rule; if the second identifier of the target record item is different from the first identifier, creating a first target table for the source data table; and copying the data of the source data table into the first target table. By copying the data of the source data table into the first target table, the data synchronization of the source data table and the first target table is realized.

The invention provides a message processing method and device.The method applied to a message production end comprises the steps that before a local transaction is submitted, a message generated in the execution process of the local transaction is uploaded to a local message processing component; determining a local target message queue corresponding to the message through a local message processing component; calling a message persistence device of the local target message queue to store the message in a local database and register a transaction monitor of a local transaction; and under the condition that the transaction monitor monitors that the local transaction is submitted successfully, adding the message to the local target message queue so as to send the message to the message consumption end through the local target message queue, so that the message is uploaded to the local message processing component before the local transaction is submitted, and a series of measures are taken to complete the sending of the message. The processing logic of transactional message sending is simplified, the processing performance is improved, and the transaction consistency of business processing and message sending of a message production end is ensured.

The embodiment of the invention provides a database read-write separation method and device, equipment, a storage medium and a program product, and relates to the field of distribution. The method comprises the following steps: analyzing a configured connection character string to create a connection pool group; according to cluster state information corresponding to the connection pool group, dynamically allocating a master library connection or a slave library connection; and updating cluster state information of each connection pool in the connection pool group in real time in the process of dynamically distributing the master library connection or the slave library connection. According to the method provided by the invention, the sensing dimension and the dynamic adaptation capability of the connection pool group to the cluster node state are increased, and the accuracy of the read-write request routing and the utilization efficiency of the connection resource are improved.

The invention relates to a snapshot creation method and device, equipment, a readable storage medium and a program product. The method is applied to a shared storage device, and comprises the following steps: firstly, after receiving a snapshot creation command, sending a first notification message used for indicating a client to stop read-write operation on the shared storage device to a client mounted on the shared storage device, and then, sending a second notification message used for indicating the client to stop read-write operation on the shared storage device; and after a response message returned after the read-write operation of the client on the shared storage device is stopped is received, creating a snapshot for the shared storage device. By adopting the method, the data states of the clients can be kept consistent when the snapshots are created, and the problem of data inconsistency is effectively avoided.

This application discloses a method, apparatus, and medium for handling abnormal RAID member disks, relating to the field of disk array storage. In order to reduce the experimentation of hot spare disks, this application provides a method to reserve a portion of storage space on the RAID member disks to store data sent by the host to the abnormal RAID member disks in the event of an abnormal RAID member disk. During the process of repairing the abnormal RAID member disks, the I / O commands received by the RAID card are directly cached in the hard drives of other normal member disks. After the RAID card successfully repairs the abnormal member disks, the RAID card can restore the data stored in the reserved storage space to the member disks that were abnormal before the RAID, avoiding data inconsistency problems caused by the member disks being unable to receive I / O commands. If the member disks can be successfully repaired, there is no need to start the hot spare disk.

The application relates to a session maintenance method, device, computer equipment, computer readable storage medium and computer program product. The method is applied to a first load balancing device in a load balancing cluster, the load balancing cluster further comprising at least one second load balancing device; the method comprises the following steps: receiving a client request message distributed by a router; querying a target server corresponding to the client request message; generating first session maintenance connection information based on the client request message and target server information of the target server, and sending the first session maintenance connection information to each second load balancing device; and sending the client request message to the target server. The method can improve service quality.

The embodiment of the invention provides a control device and an energy storage system, and relates to the energy storage technology. The device comprises a main control layer, wherein the main control layer comprises a main control case and an independent measurement module; wherein the independent measurement module is used as a sub-module controller independent of the MMC type converter and a special measurement unit of a bridge arm, and is configured to remotely collect bridge arm current data of the MMC type converter; and the main control case is connected with the independent measurement module and is used for acquiring the bridge arm current data and executing charge state balance control among the bridge arms of the MMC type converter based on the bridge arm current data. Through the control device provided by the invention, the effect of accurately realizing the charge state balance among the bridge arms of the MMC type converter can be achieved.

The invention provides a business data analysis and additional recording system and method, and relates to the technical field of data processing, and the method comprises the steps: obtaining an additional recording form, and inputting the additional recording form into an additional recording item analysis model, so as to recognize at least one to-be-additionally-recorded power business attribute item in the additional recording form; for each first power service attribute item to be additionally recorded, determining at least one recorded second power service attribute item associated with the first power service attribute item from an additional recording form, and determining additional recording content for the first power service attribute item according to each second power service attribute item; and filling the corresponding first power business attribute item based on each piece of additional recording content information. Therefore, the deep learning model based on the time attention mechanism is used for business data analysis and additional recording, and an efficient, accurate and reliable power grid business data additional recording solution is provided.

This application provides a method and system for authorizing power system anti-misoperation software. The method, applied to the authorization center, includes: receiving a function list, project configuration, debugging requirements, and system environment information of the target power system anti-misoperation system; generating an authorization list based on the function list, project configuration, and debugging requirements; encoding the system environment information, power engineering project information, and authorization list to generate original authorization data; performing encoding conversion on the original authorization data to form encoded data; and performing a digest operation on the machine code and the original authorization data to generate a checksum; the authorization center generates a segmented authorization code based on the checksum, machine code, and encoded data, and then encrypts it to generate the final authorization code. This method achieves automated authorization generation and security verification in an offline environment, meeting the multi-stage, multi-module refined authorization management needs of the power industry's closed network without requiring a network connection.