12results about How to "Reduce allocation" patented technology

The utility model discloses automatic cabinet foot assembling equipment which comprises an electric control cabinet, a feeding machine, a cabinet connecting piece feeding mechanism, a supporting foot pipe feeding mechanism, a cabinet foot pipe feeding mechanism, a screwing mechanism, a discharging mechanism and a station rotating mechanism. The cabinet foot assembling machine is reasonable in design, can efficiently and orderly finish accurate assembling of each cabinet foot accessory, achieves the automatic function of integrating feeding, assembling and discharging, remarkably improves the yield of cabinet foot finished products, is suitable for large-batch cabinet foot assembling tasks, is few in station personnel distribution, and is high in automation degree. And the personnel resources can be further optimized, managed and allocated.

This invention discloses a miniaturized four-channel combining module based on the TE20 mode, belonging to the field of millimeter-wave power combining technology. It includes a layered upper cavity, a mezzanine, a lower cavity, and an RF unit. The RF unit comprises a TE10-TE20 waveguide distributor, two amplification branches, and a TE20-TE10 waveguide combiner. Each amplification branch includes a TE20 mode filter, a waveguide-microstrip transition, a pair of amplifier chips, and a microstrip-waveguide transition connected sequentially. The TE10-TE20 waveguide distributor and the TE20 mode filter are disposed in the upper and lower cavities. The waveguide-microstrip transition, the pair of amplifier chips, and the microstrip-waveguide transition are disposed on opposite sides of the mezzanine. The TE20-TE10 waveguide combiner is disposed in the upper cavity, the mezzanine, and the lower cavity. This invention utilizes a high-isolation waveguide distributor / combiner to improve branch isolation, shorten the combining path, and has a compact overall structure with advantages such as wide bandwidth, high isolation, high combining efficiency, and miniaturization.

This invention discloses a dynamic energy storage regulation system for smart microgrids applicable to new energy power plants, relating to the field of power grid management technology. The invention acquires monitoring information of disturbance events occurring in the target system through a condition monitoring module. A prefetching management module prefetches several monitoring values ​​of each acquisition parameter into a cache according to the prefetching strategy for each acquisition parameter. A data analysis module analyzes the retrieval status of all monitoring values ​​prefetched into the cache for each acquisition parameter during various disturbance events, determining the comprehensive impact of each acquisition parameter under the disturbance event. The prefetching management module adjusts the prefetching frequency of each acquisition parameter's monitoring values ​​accordingly when the next disturbance event occurs. In this way, dynamic adaptation of the prefetching of each acquisition parameter during disturbance events can be achieved, solving the problems of resource waste and insufficient prefetching caused by fixed-frequency prefetching in traditional prefetching methods.

The invention provides a resource scheduling method, a resource scheduler, electronic equipment and a storage medium, and the resource scheduling method comprises the steps: firstly, grouping obtained pre-scheduling tasks, then calculating the distributable task amount of each cluster according to the state data of each cluster and a preset scheduling strategy, and obtaining the distributed task amount of each cluster; and the pre-scheduling tasks are automatically issued to the corresponding clusters according to the distributable task quantity of each cluster and the task resources required in each to-be-issued task group, so that the issuing of the tasks can be dynamically adjusted according to the distributable task quantity of each cluster and the task resources required in each to-be-issued task group. Task allocation can be reduced for clusters with tense resources, and task allocation can be reasonably increased for clusters with sufficient resources, so that load balancing among the clusters is realized, and overload or vacancy of the resources is prevented.

The invention provides an evaporator and an air conditioning system with the evaporator. The evaporator comprises a plurality of heat exchange coil pipes, a liquid separator and a gas collecting pipe, the liquid separator and the gas collecting pipe are communicated with the two ends of the heat exchange coil pipes, and a limiting guide rod and a plurality of branch floating plugs in sliding connection with the limiting guide rod are arranged in the gas collecting pipe. Each branch floating plug is provided with a plugging position which is in contact with the outlet and forms plugging and a through-flow position which is separated from the outlet; and each branch floating plug can sequentially rise along the guide direction of the limiting guide rod under the buoyancy action of accumulated liquid at the bottom of the gas collecting pipe and is switched from the through-flow position to the plugging position so as to at least plug the lower pipe orifice in each heat exchange coil pipe from bottom to top. According to the heat exchanger, liquid refrigerants can be evenly distributed in the height direction of the heat exchange core part, on one hand, accumulated liquid in the gas collecting pipe can be slowed down, the flow resistance of the gas refrigerants can be reduced, and smooth operation of other components of a follow-up system is facilitated; and the overheating phenomenon of the upper coil pipe is improved.

This application provides a method, electronic device, storage medium, and computer program product for allocating empty pallets and containers, relating to the field of air logistics. The method includes: determining empty pallet and container demand data for a work island area corresponding to a target delivery task; acquiring empty pallet and container inventory data for the work island area, including work island area number data, empty pallet and container inventory quantity data, and empty pallet and container model data; determining the current empty pallet and container shortage data for the work island area based on the demand and inventory data, including the shortage model data and shortage quantity data; and storing the empty pallet and container models obtained after palletizing in the work island area if they match the aircraft type corresponding to the target delivery task. This solves the problem of dynamic allocation of insufficient empty pallet and container resources, improves palletizing efficiency, and collaboratively optimizes the allocation and use of empty pallets and containers.

The invention discloses an adaptive containerized cloud model parameter adjustment method and system based on ChatGlm < 3 > and electronic equipment, in a ChatGlm < 3 > scene, an algorithm based on elastic resource management is adopted for parameter adjustment of a containerized model adaptive to containerized cloud, performance indexes and resource use conditions of the containerized model are dynamically monitored, and the parameter adjustment accuracy of the containerized model is improved. According to a preset rule or by learning historical data, distribution of container virtual resources is automatically adjusted, a customer service level protocol is improved, scheduling based on priorities is ensured through distribution of pre-virtual CPUs, and dynamic scheduling based on the priorities is achieved through a task load monitoring mechanism. According to the method, the parameters can be automatically adjusted on the containerized cloud platform, so that the performance is improved, the resource consumption is reduced, the iteration period is accelerated, different workload and performance requirements can be met, and the problem of complexity of resource configuration and scheduling is effectively solved.

The invention discloses a server-free computing-oriented multi-thread execution and resource security sharing cloud computing system, and relates to the field of server-free computing. The invention provides a multi-thread resource sharing parallel security execution model which is composed of a multi-thread efficient parallel execution module and a multi-thread resource security sharing module. According to the multi-thread efficient parallel execution, a thread-level resource management mechanism aiming at a function single instance is provided, accurate control over resource allocation of each thread is allowed, and meanwhile a sequential execution mechanism in a container is designed; in the multi-thread resource security sharing module, an MPK protection mechanism is a core component of thread memory security, the MPK provides memory protection for each thread, and a memory isolation area is allowed to be created among different threads, so that the data security is enhanced. According to the method, not only is the sequence of task execution ensured, but also the running efficiency and the resource utilization rate of the container are improved through resource recovery and sharing.

A management system and method based on FPGA heterogeneous computing, relating to the technical field of data management, comprising a main control center, wherein the main control center is communicatively connected with a data acquisition module, a node visual module, a chip deployment module, a node allocation module, a data transmission module, and a chip adjustment module; the data acquisition module is used to collect information; the node visual module is used to build a visual map; the chip deployment module is used to set a computing chip; the node allocation module is used to allocate an Internet of Things node to a computing chip; the data transmission module is used to build a first-class transmission channel to achieve a first-class transmission, and to build a second-class transmission channel to achieve a second-class transmission; the chip adjustment module is used to adjust the position of the computing chip; good data distribution and computing balance can be achieved, which is conducive to the priority processing of Internet of Things nodes in a high data state to improve the utilization rate of the computing chip.

The present invention relates to the technical field of electric energy distribution and transmission, and in particular to an electric energy distribution and transmission method based on a cable distribution box, comprising the following steps: obtaining electricity consumption data of a demand end connected to a cable distribution box, and drawing an electricity consumption curve; determining a high commonality area according to the electricity consumption curve, and then analyzing to obtain a commonality association value; obtaining the commonality association value, and judging it with a commonality association threshold, and generating an electric energy distribution commonality high and low signal; obtaining a distribution target value based on the electric energy distribution commonality high signal, determining an interface for electric energy distribution required by the cable distribution box, and obtaining an electric energy distribution target sequence; determining the electric energy required to be distributed in each sequence according to the electric energy distribution target sequence; the present invention determines the distribution target by analyzing the influence degree of the electric energy distribution interface, which can effectively reduce the amount of electric energy distribution, and then determines the actual electric energy distribution value of the distribution target through a specific coefficient, so as to ensure the power safety of the electric equipment connected to the subsequent cable distribution box.