12results about How to "Guaranteed continuous availability" patented technology

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 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 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.

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.