A multi-threaded intelligent furniture control method and system

Through thread pooling, adaptive thread scheduling and improved FAHP model, the problem of unreasonable execution delay and task order in multi-threaded intelligent furniture control is solved, efficient and accurate multi-threading control is achieved, and user experience and system stability are improved.

CN119758751AInactive Publication Date: 2025-04-04JIANGXI AOKE HOUSEHOLD TECH CO LTD
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Patent Information

Application Number
CN202510263599.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-06
Publication Date
2025-04-04
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing multi-threaded intelligent furniture control methods have problems such as delayed execution, errors, and unreasonable task execution order, which affects user experience and system efficiency, and are especially poor in handling complex and multi-level tasks.

Method used

Thread pool, adaptive thread scheduling decision model and feedback mechanism are adopted, combined with the improved FAHP hierarchical analysis model, priority sorting and thread allocation of multi-layer task control requests are carried out, execution status is monitored in real time, authentication and parameter analysis are performed through plug-in interfaces, and efficient and accurate multi-threading control is achieved.

Benefits of technology

It improves user experience and system stability, reduces execution delays and errors, optimizes the rationality and efficiency of task execution, and ensures efficient operation of the system in complex environments.

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Abstract

The present invention discloses a multi-threaded intelligent furniture control method and system, which relates to the field of intelligent furniture. First, a communication connection is established between a furniture device and a multi-threaded intelligent furniture control system, and identity information of the furniture device is verified. Then, a multi-layer task control request is generated, and the multi-layer task control request is prioritized by an improved FAHP hierarchical analysis model to ensure that tasks are executed in a reasonable order. The multi-threaded system in the thread pool schedules the requests, and the thread pool's adaptive thread scheduling decision model is dynamically adjusted according to the priority of the task and the thread load to optimize the efficiency of task execution. Finally, the execution status is monitored in real time through a feedback mechanism and fed back to a user. The method solves the problem that the prior art has execution delays or errors when processing complex, multi-layered tasks. The present invention can effectively reduce execution delays and improve execution accuracy, thereby avoiding the complexity and inefficiency problems in the prior art.
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