6results about How to "Simplify the scheduling process" patented technology

The invention relates to the technical field of Internet of Things, and particularly discloses a distributed framework implementation method, electronic equipment and a storage medium, and the method comprises the steps that when any physical node in a distributed system responds to a starting request of a distributed application, the physical node intercepts the starting request to obtain information of to-be-scheduled equipment, selecting a target node and target equipment according to a preset scheduling strategy when the scheduling of the distributed equipment is determined to be triggered based on the information of the to-be-scheduled equipment; and when the physical node is responded to be the target master node or the target slave node, the target master node or the target slave node locally creates a logic device corresponding to the target device, and performs cross-node communication based on the logic device. According to the method and the device, the problem that various distributed devices are flexibly called in a cross-end manner under the condition that an upper-layer application is non-inductive is solved, and the requirements of various cross-end combination scene services can be met.

According to the LLM-based multi-agent collaborative decision-making system and the decision-making method thereof, each agent of the decision-making system is configured with a schedulable path, and the agents are scheduled according to the schedulable paths without root routers. The decision-making method comprises the following steps of: 1, configuring a human prompt word, a schedulable path and a decision-making mechanism of each agent, and binding functions of the agents; 2, in the interaction process, when the question and answer service receives the user input content, the personal setting, the decision-making mechanism, the tool function description, the interaction context and the user input content are transmitted to the LLM together, so that the LLM becomes a central nervous system of an intelligent agent; and step 3, making one decision of scheduling, executing, replying / questioning by the intelligent agent. According to the invention, each agent can autonomously decide and dispatch without a root router, and the agent can be ensured to complete a specific task according to an artificially formulated execution process.

The invention discloses a hardware thread function management method and device, equipment and a medium, and relates to the technical field of CPU architecture design, the method comprises the following steps: when a program executes a thread call Call instruction, obtaining a target thread entry address corresponding to the instruction; if the address is not recorded in the thread management table, skipping to and executing the thread at the address; if the address is recorded in a target data entry of the thread management table, detecting whether a target thread is in an awakening state or not according to a target awakening flag bit in the target data entry; if yes, a target thread wake-up address in the target data entry is obtained, and a target thread of the address is skipped and executed; otherwise, skipping the instruction and continuing to execute the next instruction of the Call instruction. By introducing the hardware thread record table, parameter configuration is prevented from being carried out again when the thread is called, and by designing a hardware management thread scheduling mechanism, the thread scheduling process is simplified, the system overhead is reduced, and the thread management efficiency is improved.

The application discloses a kind of unmanned vehicle logistics directional relay network system and its coordination method, belong to intelligent logistics and unmanned vehicle application technical field, the system includes: multiple cellular airspace units, cellular airspace unit is constituted continuous grid in service area;Deployed in the center of each cellular airspace unit one micro hub, as the ground logistics node of corresponding unit;Wherein, each micro hub includes one terminal nest and at least two relay nests;Terminal nest is used to provide the storage and withdrawal interface of user goods;Each relay nest is arranged around terminal nest, and each relay nest is pre-allocated and fixedly responsible for the bidirectional goods transfer task between the unit where the micro hub is located and a particular adjacent unit;Terminal nest and each relay nest are connected by internal logistics transmission device 103.The application fundamentally simplifies scheduling and management complexity by deep coordination of cellular airspace grid, heterogeneous node division of labor, directional routing rules and high automation.

The invention relates to an industrial robot scheduling method, system and device and a medium. The method comprises the steps that the product production condition of a production line is acquired; determining a to-be-carried product and a material taking position of the to-be-carried product based on the production condition of the product; based on the to-be-carried product, a discharging position corresponding to the to-be-carried product is obtained; based on the to-be-carried product, the material taking position and the material placing position, a dispatching instruction of an industrial robot used for carrying the to-be-carried product is obtained; and controlling the industrial robot to carry the to-be-carried product based on the scheduling instruction. The problems that in the prior art, when an industrial robot is dispatched, various robot control systems used are incompatible, the dispatch complexity is increased, and the later maintenance cost is increased are solved.

The embodiment of the present invention discloses a multi-sequence mode task execution method, device, Internet of Things system and storage medium. The method includes: monitoring the task status in a multi-core Internet of Things system, each execution core of the multi-core Internet of Things system is respectively allocated a section of a first-in-first-out cache queue, and the first-in-first-out cache queue is also provided with a priority cache interval; when the latest task input is detected, the latest task is cached to the first cache interval or the priority cache interval according to the task priority, so as to be allocated to the execution core corresponding to the first cache interval or enter the priority allocation state, and the first cache interval is the longest cache interval in the current remaining cache queue in the ordinary cache interval; the execution core adaptively adjusts the task acquisition method according to the acquisition status of the priority task after the current task is processed. This scheme improves the data processing efficiency of multi-core processing task scheduling in the Internet of Things system and ensures the processing requirements of priority tasks.