8results about How to "Improve service stability" patented technology

The invention relates to the technical field of conveying belts, discloses an impact-resistant flame-retardant rubber conveying belt for an underground mine and a preparation method of the impact-resistant flame-retardant rubber conveying belt, and aims to solve the problems of matrix embrittlement caused by filling of a flame retardant and easiness in delamination under impact. The conveyor belt comprises a covering rubber layer, a gradient buffer layer and a framework core layer from top to bottom. The covering rubber layer adopts an NR / BR / CPE blending matrix, and a superfine flame-retardant system and a liquid nitrile rubber toughening phase are added; the gradient buffer layer contains directionally arranged aramid short fibers to smooth the modulus. The preparation method relates to a multi-stage mixing and controlled cooling vulcanization process. According to the invention, the balance of flame retardance and physical properties is realized, the dynamic impact-resistant life of the belt body is remarkably prolonged by constructing a multi-stage energy dissipation system, the running temperature rise is effectively reduced, delamination is prevented, and the long-term service stability under a high-load working condition is ensured.

This invention relates to a method and system for collaborative optimization of AI services based on zero-cost agents. The method includes: acquiring the model structural features of the AI ​​service to be evaluated; using a pre-set non-trained evaluation model to quantitatively analyze the information transmission characteristics of the model structural features to obtain performance scores for each candidate model version; based on the performance scores and combined with the real-time status of computing resources, determining the deployment strategy of the AI ​​service instance on the target computing node through a deployment algorithm that balances queuing latency benefits and communication latency benefits; monitoring the service request load in real time; selecting the target version from the candidate model versions based on load changes and the performance scores; and performing online replacement of the deployed AI service. This invention, through a proxy model constructed with quantitative encoding, communication-queuing collaborative awareness deployment, and load awareness model replacement, realizes a link collaboration mechanism, which can effectively reduce end-to-end latency and improve resource utilization efficiency and service stability.

The present application relates to an Al-Zn alloy material and a preparation method thereof, the Al-Zn alloy material comprises the following components in percentage by weight: Zn 8-12 wt.%, Mg 2.8-3.2 wt.%, Cu 1.2-1.5 wt.%, Zr 0.1-0.2 wt.%, and the balance is Al. On the one hand, the high Zn content changes the nucleation and growth kinetics of the η' phase, and increases the volume fraction of intragranular precipitates. On the other hand, the Al3Zr dispersed phase formed by the Zr element effectively pins dislocations and grain boundaries, inhibits recrystallization and limits the segregation of solute atoms to grain boundaries, thereby significantly inhibiting the continuous precipitation of grain boundaries and the expansion of PFZ.

This invention relates to the field of high-performance steel heat treatment equipment technology, and discloses a heat treatment method for eliminating anisotropy in stamped parts, comprising five stages: pretreatment, gradient temperature-controlled annealing, magnetic field-assisted regulation, integrated cooling, and post-treatment. This invention innovatively employs thickness-layered gradient temperature control, pulsed magnetic field-assisted grain boundary regulation, a micron-level high-precision temperature control system, and integrated closed-loop control of annealing and cooling to achieve precise control of the microstructure: the average grain size of the steel is ≤2μm, grain uniformity is ≥92%, tensile strength is ≥1200MPa / 950MPa, elongation is ≥25%, and the strength-ductility matching coefficient is improved by more than 40% compared to traditional processes; process repeatability error is ≤3%, microstructure recovery and softening rate is ≤5%, and residual stress elimination rate is ≥95%; achieving synergistic optimization of strength and ductility, it can be widely applied in high-end equipment manufacturing fields such as aerospace, nuclear fusion devices, and extreme cold environment engineering.

The invention discloses an automatic map slice publishing method and system based on multi-source data. The automatic map slice publishing method based on the multi-source data comprises the following steps that multi-source map data are processed and sent; receiving multi-source map data, performing data matching processing, and performing multi-source publishing after data matching processing; and sending the published multi-source map data to a corresponding data processing cluster, and carrying out multi-source data slicing processing. According to the method, the multi-source data processing flow is integrated, manual operation of multiple platforms is not needed, automatic slice publishing can be completed only by simply configuring parameters, and automation of map slice publishing is achieved.

This invention discloses a Redis multi-tenant management method, apparatus, and server. The method includes: obtaining configuration information of a first application, the configuration information including additional information and a listening port, wherein the additional information is unique for different applications; connecting to the Redis node corresponding to the first application based on the configuration information and listening on the listening port, the Redis node operating in cluster mode; obtaining a first instruction from the listening port, the first instruction being an instruction to access the Redis node; adding the additional information to the first instruction; and sending the first instruction with the added additional information to the Redis node. This solution, through a proxy, configures different additional information for different applications and adds corresponding additional information to the access instructions of each application, ensuring that data from different applications in the Redis cluster can be clearly identified based on the added information, without affecting each other.

The invention discloses a Stackelberg game-based calculation unloading and cooperative calculation method in an unmanned aerial vehicle. The method comprises the steps of constructing a mobile edge calculation system; defining a task unloading strategy of the MUE and a cooperative forwarding strategy of the UAV; establishing system cost models including a G2A communication model, an A2A communication model, a calculation queuing model and a system energy consumption model, and establishing a task completion time delay model including constructing an optimization problem; modeling the optimization problem as a Stackelberg game; the UAV is used as a leader, and the MUE is used as a follower; alternately updating the cooperative forwarding strategy and the task unloading strategy by adopting a distributed iteration strategy solving algorithm, and outputting a balanced unloading strategy and a balanced forwarding strategy; and the MUE offloads the task to the UAV according to a balanced offload strategy, and controls the UAV to forward the task to an adjacent UAV or to process locally according to a balanced forwarding strategy. According to the method, cooperative processing of tasks is realized based on the Stackelberg game, and the comprehensive cost is effectively reduced.

The embodiment of the invention provides a query routing method and device, equipment, a storage medium and a program product, and relates to the field of database management. The method comprises the following steps: determining a classification label of a first SQL statement according to execution time information of a first structured query language SQL, wherein the classification label comprises a blocked SQL, a high-frequency SQL or a common SQL; determining a first routing strategy corresponding to the first SQL statement according to the classification label and node state information, wherein the node state information is used for indicating SQL statement response time of each data node in the data node cluster; and determining a corresponding target data node according to the first routing strategy, and routing the first SQL statement to the target data node. According to the method provided by the invention, the load balancing capacity for query request routing allocation is improved.