Method for constructing locomotive collaborative transportation scheduling system based on cyber-physical fusion

Patent metadata

Field	Value
Publication number	US-11989671-B1
Application number	US-202318470328-A
Country	US
Kind code	B1
Filing date	Sep 19, 2023
Priority date	Mar 16, 2023
Publication date	May 21, 2024
Grant date	May 21, 2024

Abstract

The present disclosure discloses method for constructing a locomotive collaborative transportation scheduling system based on cyber-physical fusion, which provides a solution for multi-processor coordinated control of locomotive scheduling. The method includes the following steps: step 1, planning the actual on-site location of the device; step 2: constructing a distributed cyber-physical system collaborative architecture; step 3: describing the information transmission relationship between physical devices in a matrix manner to construct an information collaboration computing model; step 4: analyzing and selecting the matching controller type according to the device function implementation program; step 5: writing the controller function scheduling program to complete the construction of the locomotive collaborative transportation scheduling cyber-physical system, and realizing the locomotive automatic scheduling through this system.

First claim

What is claimed is:

1. A method for constructing a locomotive collaborative transportation scheduling system based on cyber-physical fusion, comprising:
step 1 , planning an actual site location where a device is located based on an actual physical environment on site; wherein in step 1 , the number and locations of the physical devices required for locomotive transportation are planned based on the actual physical environment on site of the locomotive transportation, and the physical devices comprises signal lights, switch machines, and measurement and control substations;
step 2 , planning a connection mode and an information transmission path of the device according to the actual site location of the device, and constructing a distributed cyber-physical system collaborative architecture based on cyber-physical system;
wherein the specific process of step 2 is as follows:
connecting signal lights and switch machines with the nearest measurement and control substations through the locations of the physical devices on site, wherein a connection mode is star connection; planing an device connection mode and an information transmission path; applying the cyber-physical system theory to establish a distributed structure for an interaction between a information layer and a physical layer of terminals of the locomotive collaborative transportation scheduling cyber-physical s stem to build compositions and functions of the information layer and the physical layer; researching a information process that each terminal processor needs to exchange and transmit based on a functional requirement of different physical devices, and building an information interaction model; wherein the physical layer of the cyber-physical system is actual physical devices controlled by the controller in the system and a communication network connecting these physical devices, the actual physical devices comprise signal lights, switch machines, and measurement and control substations; the communication network is a hybrid network combining ring networks and star networks; each device in the physical layer of the cyber-physical system is equipped with a physical transmission port for information interaction with other physical devices, which is responsible for realizing actual physical behaviors of the system; the information layer of the cyber-physical system comprises a data center and a plurality of communication nodes, the information layer of the cyber-physical system consists of a plurality of virtual physical devices realized by the actual physical devices through real-time multitasking programming and the information transmitted by each device; and the information layer of the cyber-physical system is configured to process and transmit various information in the system and generate corresponding information transmission content, which is responsible for implementing information interaction between the physical devices in the system;
forming the edge computing groups composed of the measurement and control substations and their subordinate signal lights and switch machines according to a structure of the locomotive collaborative transportation scheduling cyber-physical system, wherein the edge computing groups exchange information through the backbone network, and a plurality of the measurement and control substations achieve information coordinated control of a plurality of controllers;
building the collaborative architecture of the cyber-physical system of a coal mine underground locomotive collaborative transportation scheduling, wherein the collaborative architecture comprises an application layer, a cloud data layer, a backbone network layer, a local network layer and a physical layer; wherein the application layer comprises a monitoring center and a control center; the cloud data layer comprises the cloud data processing center; the backbone network layer comprises a plurality of switch machines connected through ethernet; the local network layer comprises a data processing center, a measurement and control substation, a controller local area network communication a positioning base station, and an ultra wideband wireless carrier communication; the physical layer comprises an execution device, a sensing device, and an onboard device; the measurement and control substation conducts interactive communication with the executive device and the sensing device subordinated through the star network composed of the controller local area network communication, the positioning base station receives data information of the onboard device through the ultra wideband wireless carrier communication; and different measurement and control substations or positioning base stations exchange information through an ethernet ring network composed of switch machines, and transmit information in the cloud data center;
step 3 , describing an information transmission relationship between physical devices in a matrix manner based on a cyber-physical system collaboration architecture and an information transmission path between the physical devices, and constructing an information collaboration computing model;
wherein, a network directed graph is used to construct the information collaboration computing model in step 3 , the network directed graph describes a communication relationship between system device controllers, and edges in the network directed graph represent a direction of information flow between the physical devices;
there are m of edge devices in an edge computing group, a network node splitting method is used to split nodes, the number of network vertices is 2m, an information adjacency matrix T′=[a ij ] 2m×2m between the vertices is constructed according to two split vertices v′ and v″, wherein a ij is an adjacency relationship between vertices, when information flows from a vertex i to a vertex j, a ij is 1, otherwise a ij is 0;
in the edge computing group, there are still n of non-split network nodes, information of the edge devices flows from the vertices v″ to the non-split network nodes, and information of the non-split network nodes flows from the vertices v′ of the edge devices;
building a full information adjacency matrix T of the edge computing group as following:

T
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T

m
′

×

m
′

T

m
′

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T

Assignees

• Univ Shandong Science & Tech

Inventors

• Li Wenhong
• Ma Jinyu
• Sun Yanliang
• Pei Jitian
• Kang Dan
• Song Yongliang
• Yang Peng
• Sun Peng
• Li Boyun
• Zhang Yi

Classifications

• G06Q10/06311 Primary

  Scheduling, planning or task assignment for a person or group · CPC title

• Y02P90/02

  Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS] · CPC title