Edge collaborative decision-making method, system and device and storage medium
A collaborative decision-making and edge technology, applied in the direction of manufacturing computing systems, instruments, data processing applications, etc., can solve problems such as the inability to meet the low latency requirements of task computing, achieve flexible and intelligent production, and save computing and processing costs Effect
Pending Publication Date: 2020-11-20
SOUTH CHINA UNIV OF TECH
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Problems solved by technology
At present, most studies on edge computing task decision-making consider two task computing decision-making modes: local computing and edge computing node computing. The above two modes cannot meet the low latency requirements of task computing
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[0056] Such as figure 1 As shown, an edge collaborative decision-making method provided in this embodiment includes the following steps:
[0057] S1. After obtaining multiple orders, dynamically divide each order according to the product data of each order, and output the order category;
[0058] S2. According to the order category, after using the task priority sorting algorithm to sort the tasks corresponding to each order, determine the task priority corresponding to each order category;
[0059] S3. According to the order category and task priority, the discrete particle swarm optimization algorithm is used to determine the average execution time and equipment utilization rate corresponding to each order in a collaborative manner.
[0060] In this embodiment, first, the edge intelligent gateway dynamically divides the customer's personalized customization order according to the quantity and type of products in the customer order received from the private cloud platform; t...
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The invention discloses an edge collaborative decision-making method, system and device and a storage medium, and the method comprises the steps: dynamically dividing each order according to the product data of each order after obtaining a plurality of orders, and outputting the types of the orders; according to the order types, adopting a task priority ranking algorithm to perform task priority ranking on tasks corresponding to the orders, and then determining task priorities corresponding to the order types; and according to the order types and the task priorities, performing collaborative mode decision amount determination on the average execution time corresponding to each order and the equipment utilization rate by adopting a discrete particle swarm algorithm. Dynamic order category division is carried out according to the product data corresponding to each order, and priority ranking is carried out on tasks corresponding to each order by adopting a priority ranking algorithm, sothat computing resources are efficiently utilized, the computing processing cost is saved, and flexible and intelligent production of an optimized personalized customized production and manufacturingsystem and an industrial production system is achieved.
Description
technical field [0001] The present invention relates to the technical field of intelligent manufacturing, and in particular to an edge collaborative decision-making method, system, device and storage medium. Background technique [0002] In the new wave of industrial transformation that has been set off around the world, digitalization is the foundation, networking is the support, and intelligence is the goal. Against this background, the transformation of the manufacturing industry faces huge opportunities for development. At present, in the production process of product planning, design, manufacturing, and operation, manufacturing products, production equipment, and technological processes have gradually realized digitization and networking, and technologies such as intelligent sensing and artificial intelligence continue to develop and mature. Therefore, The basic conditions have been met for the comprehensive transformation of the manufacturing industry. As the new deve...
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IPC IPC(8): G06Q10/06G06Q50/04
CPCG06Q10/0631G06Q50/04Y02P90/30
Inventor 万加富蒋春
Owner SOUTH CHINA UNIV OF TECH