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Process automatic decision-making and reasoning method and device, computer equipment and storage medium

A technology of automatic decision-making and reasoning method, applied in the field of deep learning, can solve problems such as wrong process decision-making and affect production efficiency, and achieve the effect of improving the corresponding speed and improving process knowledge

Pending Publication Date: 2022-06-21
GUANGDONG POLYTECHNIC NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present application is to propose an automatic process decision-making and reasoning method, device, computer equipment, and storage medium to solve the problem that a large amount of heterogeneous knowledge and insufficient computing resources easily lead to wrong process decisions, thereby affecting actual production efficiency. question

Method used

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  • Process automatic decision-making and reasoning method and device, computer equipment and storage medium
  • Process automatic decision-making and reasoning method and device, computer equipment and storage medium
  • Process automatic decision-making and reasoning method and device, computer equipment and storage medium

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Embodiment 1

[0067] continue to refer to figure 2 , showing a flow chart of one embodiment of the process automatic decision-making and reasoning method of the present application. The process automatic decision-making and reasoning method includes the following steps:

[0068] Step S201 , constructing a part production process knowledge base model combining process automatic decision-making and reasoning.

[0069] In this embodiment, the electronic equipment (eg figure 1 The server / terminal device shown) can receive process automatic decision-making and reasoning requests through wired connection or wireless connection. It should be pointed out that the above wireless connection methods may include but are not limited to 3G / 4G / 5G connection, WiFi connection, Bluetooth connection, WiMA process automatic decision-making and reasoning connection, Zigbee connection, UWB (ultra wideband) connection, and other known or wireless connection methods developed in the future.

[0070] image 3...

Embodiment 2

[0211] further reference Figure 8 , as a response to the above figure 2 The implementation of the shown method, the present application provides an embodiment of a process automatic decision-making and reasoning device, the device embodiment is the same as figure 2 Corresponding to the method embodiments shown, the apparatus can be specifically applied to various electronic devices.

[0212] like Figure 8 As shown, the process automatic decision-making and inference device 400 described in this embodiment includes: a construction module 401 , an integration module 402 , an extraction module 403 , a decision module 404 and an inference module 405 . in:

[0213] The construction module 401 is used for constructing a part production process knowledge base model combining process automatic decision-making and reasoning;

[0214] The integration module 402 is used to construct a three-level information model of part information, process knowledge and equipment information, ...

Embodiment 3

[0224] To solve the above technical problems, the embodiments of the present application also provide computer equipment. For details, please refer to Figure 9 , Figure 9 This is a block diagram of the basic structure of the computer equipment in this embodiment.

[0225] The computer device 6 includes a memory 61 , a processor 62 , and a network interface 63 that communicate with each other through a system bus. It should be pointed out that the figure only shows the computer device 6 having the component memory 61, the processor 62 and the network interface 63, but it should be understood that it is not required to implement all the shown components, and more can be implemented instead. or fewer components. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculation and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited ...

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Abstract

The invention belongs to the field of deep learning, and relates to a process automatic decision-making and reasoning method and device, computer equipment and a storage medium, and the method comprises the steps: constructing a part production process knowledge base model; constructing a three-level information model of part information, process knowledge and equipment information, integrating production data and constructing a process time sequence knowledge graph; extracting process knowledge features from the process time sequence knowledge graph; splitting the production task by combining an automatic decision-making model based on the process knowledge features, extracting the spatial features of the subtasks, and retrieving the process knowledge meeting the spatial features and the time sequence requirements in the part production process knowledge base for process decision-making; a partially observable Markov decision process algorithm is adopted to define a process time sequence knowledge graph as an environment, and process reasoning is carried out. Reasoning is carried out on an unknown production process, and after a reasoning path is obtained, manual verification is carried out, and then the reasoning path is updated to the process time sequence knowledge graph, so that process knowledge is more perfect.

Description

technical field [0001] The present application relates to the technical field of deep learning, and in particular, to a process automatic decision-making and reasoning method, apparatus, computer equipment and storage medium. Background technique [0002] The application of intelligent process decisions in intelligent manufacturing systems is a challenging task. First, process design is one of the most time-consuming and knowledge-based tasks in the entire modern product development process, and a series of decision-making behaviors are designed. Most of these behaviors depend on the long-term production accumulation of enterprises and the accumulation of personal knowledge. However, because the traditional process knowledge organization form is mainly based on relational databases, it is difficult to connect with the equipment resources and process knowledge of the enterprise, and most traditional process decisions often lack process parameters (cutting speed, feed, cuttin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/35G06N3/04G06N3/08G06Q50/04
CPCG06F16/367G06F16/35G06N3/08G06Q50/04G06N3/045Y02P90/30
Inventor 廖丽平朱柯蔡君
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
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