25results about How to "Guaranteed continuous availability" patented technology

The invention belongs to the technical field of distributed databases, and particularly relates to a decentralized copy control method of a distributed database, which comprises the following steps: step 1, copy management: determining the number and storage positions of copies according to data volume and system load requirements, and reasonably distributing data copies to different nodes; 2, replica consistency: selecting a consistency model to balance system performance and data consistency requirements; 3, synchronizing the copies: determining a data synchronization strategy between the copies, and adjusting according to the real-time requirement of the system; 4, conflict detection and resolution: detecting data conflict by using a timestamp, a version number or a logic clock mechanism, and designing a conflict resolution strategy; and 5, replica recovery: monitoring the state of each node, quickly detecting replica faults, and recovering data from other replicas. The stability, reliability and performance of the distributed database system can be effectively improved, and the distributed database system adapts to constantly changing service requirements.

The invention discloses a hospital internal network security isolation method based on an all-optical network architecture. The method comprises the following steps: S1, dividing a hospital internal network into a plurality of virtual optical slices by using an all-optical network slicing technology; s2, performing time domain isolation by using an optical time domain multiplexing technology, and transmitting data on different optical wavelengths by using a wavelength selective switching technology; s3, monitoring and managing bandwidth allocation through a software defined network control platform; s4, traffic prediction and resource optimization are carried out based on a decision tree integration algorithm; s5, detecting potential anomalies and security threats by using the graph neural network; s6, abnormal behaviors are detected through an isolation forest algorithm, and abnormal traffic is marked and isolated; s7, recording a network traffic log through a block chain technology; and S8, when a network fault occurs, using an intelligent self-healing mechanism to automatically switch redundant optical path resources and recover the optical path. According to the invention, all-optical network slicing and artificial intelligence technologies are fully utilized, and security isolation and resource optimization of a hospital internal network are realized.

The invention discloses an electric power information security storage supervision system based on a block chain. A multi-head nerve attention mechanism and a fuzzy entropy technology are introduced into an alarm information processing module. By preprocessing the power equipment alarm information collected in real time, the system can extract time sequence features, environmental parameters and historical record information, and the complexity and uncertainty of each piece of alarm information are quantified by using fuzzy entropy calculation. In combination with a multi-head nerve attention mechanism, the system can intelligently identify alarm information possibly causing major problems and preferentially distribute processing resources. Compared with a traditional alarm processing system, the alarm information processing efficiency is improved, meanwhile, the situations of false alarm and missing alarm are effectively reduced, it is ensured that key alarm information can be responded in time, and therefore the safety and stability of an electric system are greatly improved.

A digital archive data management system comprises a user terminal, a server, a data acquisition module, an authority distribution module, an access identification module, an access sorting module, an access tracking module and a cloud database. According to the digital archive data management system, through registration and login, accurate tracking and identification of identities are ensured, responsibility state information of visitors is collected, visit values are obtained through quantitative assignment processing, permission range type levels are matched according to the visit values, and visitors can only access data in an authorized range; then the access state of the digital archive file is intelligently analyzed, abnormity is monitored in real time, an access limiting instruction is triggered, a target access person is optimally selected in combination with multi-dimensional data, meanwhile, the access behavior state of the access person can be monitored in real time, the digital archive file is pushed in a personalized mode, the safety of the digital archive file is guaranteed, and the user experience is improved. And furthermore, the query and calling efficiency of the visitors is improved, and the use experience of the user is optimized.

The embodiment of the invention provides a management method and system of a cloud computing platform, and is applied to a server, the method comprises the following steps: obtaining computing resource expected data of the cloud computing platform, the computing resource expected data representing first resource data needed by the cloud computing platform to complete a computing task; screening out at least one target computing power server from a computing power server cluster according to the computing resource expected data; and accessing the target computing power server to the cloud computing platform, so that the cloud computing platform executes the computing task by using the target computing power server. According to the embodiment of the invention, through flexible resource allocation and a dynamic adjustment mechanism, the problems of low resource utilization rate, insufficient resources, poor flexibility and the like are solved, and the resource management efficiency and the overall performance of the cloud computing platform are remarkably improved.

The invention relates to the field of micro-services, in particular to a cloud platform-based registration center switching method, which comprises the following steps of: establishing a plurality of transmission channels, and transmitting initial registration information through the plurality of transmission channels; receiving a plurality of addressing information and extracting feature addressing information; initial configuration parameters are set, and the feature addressing information is sent to the latest registration center to search target registration information; if the target registration information does not exist in the latest registration center, checking and repairing the transmission channel, transmitting the initial registration information again, and searching again after a first time period; if the re-searching result is that the target registration information does not exist in the latest registration center, the configuration parameters are replaced to send the feature addressing information to the initial registration center; and searching the target addressing information in the initial registration center, and transmitting a searching result to the newest registration center through the transmission channel to complete updating of the newest registration center. According to the invention, the stability of registration center switching is improved.

The application discloses a business management and control system for the tobacco industry, and relates to the technical field of information management of the tobacco industry.The system comprises the following: a distributed event coordination bus adopts a multi-level priority queue of a publish-subscribe mode and a differentiated retry and time sequence order preserving mechanism to deliver events; a data acquisition and standardization module switches data processing modes according to network states, completes multi-source business data conflict arbitration and standardization conversion; a data state processing module checks events and updates business states based on a unified metadata model; a streaming monitoring and decision module identifies abnormalities through sliding window aggregation and dynamic threshold identification, generates abnormal instructions and business alarm events; a metadata synchronization module synchronizes metadata changes through hot loading; and a unified operation and maintenance response module executes automatic response arrangement based on events.The application realizes accurate, real-time and active management and control of the whole life cycle of the business of the tobacco industry, and improves the robustness, business efficiency, compliance level and risk response capability of the system.

The invention provides a distributed cluster construction method, a distributed reasoning method and a resource scheduler, which can be applied to the technical field of computers. The distributed cluster construction method comprises: in response to a submission operation for a system arrangement file, binding a virtual node created based on the system arrangement file to a physical node equipped with a hardware accelerator, the system arrangement file indicating an expected construction state for a distributed cluster; calling a plurality of physical nodes, pulling a target reasoning mirror image from a mirror image warehouse, and starting respective container instances of the plurality of physical nodes by using the target reasoning mirror image, the target reasoning mirror image being obtained by packaging a development kit of a hardware accelerator of the physical node and a distributed reasoning framework; calling an accelerator plug-in of the physical node, and allocating resources of a hardware accelerator on the physical node to the container instance; and constructing a distributed cluster according to the plurality of container instances.

The invention provides a hierarchical current limiting device based on a time sequence, and belongs to the technical field of gateway current limiting. The device comprises a time sequence manager, a service grading controller and a priority manager, the time sequence manager periodically scans a time sequence list through a clocked flip-flop, and sends key service information of the current time sequence to the service grading controller when detecting that the time sequence changes; the service grading controller collects monitoring data of the service in real time, and generates a current limiting control strategy and a current limiting parameter in combination with key service information of a current time sequence; the priority manager generates a request filtering rule according to the priority of the key service and a current limiting control strategy; and filtering the request according to the request filtering rule, and judging to intercept or release the request. Priority processing of key requests is guaranteed, and continuous availability of key services in all time periods is guaranteed.

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 provides a data lake table concurrent writing method and device, and belongs to the technical field of computers.The method comprises the steps that writing channels are dynamically selected according to the number of active writers of a target partition; for a write-in request entering a controlled concurrent write-in channel, the version number of a current partition is obtained firstly, data is written into a temporary storage area marked with the version number and a timestamp, and then the version number is tried to be increased progressively through atomic comparison exchange operation to submit the data; if the atomic comparison exchange operation fails, triggering an automatic retry mechanism, if retry succeeds, marking the corresponding data as a mergeable state, and if retry fails, transferring the data into an asynchronous repair channel; and dynamically triggering a merging task according to the number of the temporary files and a system load index, merging data in the temporary files according to a version number sequence, and atomically updating a main data version. According to the method, the problem of data consistency of single-partition concurrent writing is solved, and automatic switching and zero manual intervention of a dynamic routing mechanism can be realized.

The application discloses a shared space health condition automatic evaluation and cleaning scheduling method and system based on image recognition, a computer device and a storage medium. The method comprises the following steps: acquiring real-time space images in a shared space; performing multi-task identification and cross-task collaborative calibration on the real-time space images to generate health state data; calculating a dynamic health index based on historical health state sequences and spatial correlation between adjacent areas according to the health state data; when the dynamic health index is lower than a threshold, marking a region to be cleaned and encoding the health state data of the region to a cleaning demand feature vector; calculating the similarity between the vector and each candidate strategy feature vector in a strategy library, determining a target cleaning strategy according to the matching result and sending the target cleaning strategy to a cleaning execution end to perform cleaning work; and acquiring cleaning result data to update the dynamic health index. The application realizes real-time perception, scientific evaluation and accurate scheduling of the health condition of the shared space, and improves the utilization efficiency of cleaning resources.

The invention relates to the technical field of gas monitoring, and discloses an intelligent remote monitoring harmful gas leakage early warning system which is composed of a sensing layer, an edge computing layer and a cloud computing layer, and harmful gas concentration data are collected in real time and preliminarily processed through a sensor module and a data collection module. The edge calculation layer is responsible for further data processing, early warning judgment and low-power-consumption wireless communication, and real-time analysis and early warning triggering of data are achieved. And the cloud computing layer is responsible for data storage, intelligent analysis and user interface display, identifying potential leakage sources and high-risk areas through a clustering algorithm, and providing an intuitive monitoring interface. According to the distributed technology architecture, the overall performance and reliability of the system are improved.

The application discloses a time-space multi-scale AI reduction method and system for electromechanical simulation, and mainly relates to the technical field of electromechanical multi-physical field coupling simulation. The method comprises the following steps: obtaining full-order simulation snapshot data of an electromechanical simulation system under time-space multi-scale conditions; performing time-space multi-scale feature decomposition on the full-order simulation snapshot data, and extracting cross-scale spatial base functions and time coefficients; constructing an intelligent reduction model with a time-space attention mechanism as the core, and dynamically optimizing the reduction dimension through a reinforcement learning strategy; inputting real-time working condition parameters to output electromechanical coupling response prediction results after reduction; and continuously monitoring prediction residuals and triggering incremental online updating of the model. The application has the beneficial effect that the balance between precision and calculation efficiency of electromechanical simulation is achieved through time-space multi-scale intelligent reduction.

The application discloses a runtime memory management optimization method special for model inference scenes. In the application, through a hierarchical memory pool pre-allocation and dynamic shared area reuse mechanism, the problem of GPU memory fragmentation in the multi-task concurrent inference scene is fundamentally solved. Before the task is started, the hot area and the non-hot area are accurately divided according to historical data, and a continuous GPU memory block is pre-allocated to avoid address discretization caused by dynamic allocation. In the inference process, the hot area range and capacity are adjusted in real time based on access frequency, so that high-frequency access data always resides in the continuous GPU memory space, and the GPU memory address translation overhead and data migration delay are greatly reduced. At the same time, in combination with an arbitration mechanism for dynamically adjusting priorities according to task SLA requirements, it is ensured that high-priority tasks can temporarily occupy the idle memory of low-priority tasks when the GPU memory is tight, so that the real-time requirements of key tasks are guaranteed, the overall utilization of GPU memory resources is maximized, and the waste of resources in the traditional static allocation mode is avoided.

The invention discloses a Bootloader and an APP (Application) upgrading method based on a flash memory partition. According to the method, a flash memory in an MCU is logically partitioned into a Bootloader region, an APP A region, an APP B region and a corresponding flag bit A region / B, and an A / B redundant backup mechanism is constructed. When the system is initialized, the Bootloader judges the activation and validity states of the A / B area of the APP through the zone bit area and determines a starting path. In the upgrading process, upgrading data are received by means of communication modes such as CAN, a new program is temporarily stored in an inactive area, and data integrity and legality are ensured through multiple layers of verification such as Hash verification, CRC verification and digital signature verification; and switching the active area after the verification is passed, and automatically rolling back to the original active area when the upgrading fails, thereby ensuring that the system is continuously available. The method is suitable for upgrading various automobile electronic control units.

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.

This utility model belongs to the field of concrete strength testing technology, and in particular to a concrete strength testing device for highway bridge construction. It includes a rebound hammer and a support mechanism located outside the rebound hammer, with a replacement mechanism at its bottom. The support mechanism includes a support block fixedly connected to the outer wall of the rebound hammer. In this utility model, the support mechanism automatically triggers the linkage movement of the swing arm and compresses the spring when the roller contacts the concrete surface in advance. This process not only effectively absorbs the impact and vibration during operation but also actively and reliably presses the bottom of the rebound hammer stably and vertically against the concrete surface to be tested. This fundamentally solves the problem of instrument shaking and tilting caused by manual suspension, ensuring that the impact hammer always maintains an ideal vertical impact posture, thereby significantly reducing systematic measurement errors and significantly improving the accuracy, reliability, and overall efficiency of concrete strength rebound value testing.

The utility model discloses a kind of oral cavity digital observation instruments convenient to carry, including storage cylinder, adjusting lever and observation piece, the adjusting lever is located inside the storage cylinder, the observation piece is located at the right end of adjusting lever, the observation piece includes the probe of rotationally connected in the right end of adjusting lever, lighting lamp and camera being arranged on the surface of probe, the right end of storage cylinder is rotatably connected with protective plate. The oral cavity digital observation instrument convenient to carry, through power component, probe can be driven telescopic, it is convenient to retract inside the storage cylinder when not using, closed using protective plate, prevent the situation that probe collides and wears, improve its service life;By adjusting lever and observation piece are integrated in storage cylinder, cooperate rotatable protective plate and the integrated design of display screen, significantly reduce the overall volume of equipment, compared with existing equipment, portable scene can be easily adapted, meet mobile medical and primary diagnosis and treatment demand.

The invention relates to the field of embedded systems, and discloses an asymmetric firmware over-the-air upgrading method. The method comprises two firmware over-the-air upgrading stages: firstly, in main system upgrading, after a main system upgrading differential package is downloaded to an upgrading partition of a nonvolatile memory, the equipment is restarted, and a main system area in the nonvolatile memory is emptied at the same time; and the new main system mirror image is synthesized by the main system upgrading differential package and the original file in the nonvolatile memory, is temporarily stored in the volatile memory, and is used for overwriting the original main system file. And if the upgrading fails, the guarding system obtains and installs a complete main system mirror image from the upper computer. In the daemon system upgrading process, the daemon system upgrading differential package is downloaded as well, and the daemon system area is emptied after the equipment is restarted. The new daemon system mirror image is generated by the daemon system upgrade differential package and the original file, is stored in the volatile memory, and overwrites the original daemon system file in the nonvolatile memory. And when the upgrading is unsuccessful, the main system is responsible for acquiring and installing the complete guarding system mirror image from the upper computer. By means of the method, the storage space needed by FOTA upgrading can be greatly saved, when one system goes wrong in upgrading, the other system can obtain the complete upgrading package to complete upgrading, and the upgrading reliability is enhanced.

The invention relates to the field of agricultural production, in particular to a novel anti-freezing agricultural planting and breeding system which comprises an agricultural reservoir body, a heating module, a data acquisition module, a data analysis module and a control module. The data acquisition module is used for acquiring environmental data in the surrounding environment of the agricultural reservoir body, the data analysis module is used for analyzing and judging the data acquired by the data acquisition module, and the control module is used for controlling the heating module; according to the invention, the data acquisition module and the data analysis module are arranged to form a judgment logic for the temperature, the control module is utilized to control the heating module, and when the temperature is low, the interior of the reservoir structure is automatically heated, so that normal supply of clear water in the reservoir structure is ensured, and the efficiency of agricultural planting and breeding is improved.

This invention relates to the field of data processing technology for industrial equipment condition monitoring, and discloses a data quality monitoring and storage system based on equipment electrical condition assessment. The system includes: a physical correlation verification engine that uses a baseline library linking electrical condition and vibration characteristics to assess and label the diagnostic effectiveness of vibration data streams; and a baseline adaptive calibration module that can dynamically and adaptively calibrate the baseline library based on high-reliability data output by the engine itself. This invention solves the problem of long-term reliability decay caused by cognitive aging in static diagnostic models by constructing a self-evolving closed loop for the core knowledge base of the diagnostic system, enabling it to iterate synchronously with the long-term drift of equipment physical characteristics. This ensures the continuous accuracy of data quality assessment throughout the entire equipment lifecycle.

The invention relates to a business system environment management method and device, computer equipment, a readable storage medium and a program product. Establishing communication connection with at least one resource object according to a test environment of the service system and the used at least one resource object, and obtaining environment resource data corresponding to the at least one resource object and generated by operation of the service system based on the test environment, and under the condition of determining that the environment resource data meets a pre-configured treatment condition, treating the target test environment of the target resource object based on a corresponding treatment strategy to obtain a treatment result, and pushing the treatment result. According to the method, automatic treatment can be realized based on the pre-configured treatment conditions and treatment strategies, so that the workload of treatment through manual troubleshooting can be reduced, the treatment efficiency is improved, and various resource objects of multiple test environments can be monitored and treated in a centralized and unified manner, so that the waiting time consumption of test work is reduced, and the test efficiency is improved. And the stability and the continuous availability of the environment are ensured.

The invention relates to a communication traffic anomaly analysis method and device, a terminal and a medium. The communication traffic anomaly analysis method comprises the following steps: dividing programs in a user terminal into types and configuring priorities; a hierarchical monitoring architecture is constructed, when it is monitored that the communication flow of the user terminal exceeds a threshold value, all types are migrated to a base layer, flow limitation is carried out, and the types are unlocked according to priorities; a monitoring layer is hung under the abnormal program, a redundancy version is created, and basic data in the abnormal program are synchronized; positioning a target address of the communication flow exceeding a threshold value, generating an access control table by applying a redundancy version, and comparing the access control table with the target address to obtain an abnormal item; and integrating and sending the information. According to the invention, by creating the redundancy version, reducing the service interruption, ensuring the continuous availability of the user terminal, and comparing the target address with the access control table, the abnormal communication flow of the user terminal is identified, the fault diagnosis capability is improved, and decision support is provided for the lasting and stable operation of the user terminal.