Application of Routing Algorithm Based on Logical Petri Nets in the Structural Design of Agricultural Products Logistics System-Reference-Cited by-同舟云学术

Application of Routing Algorithm Based on Logical Petri Nets in the Structural Design of Agricultural Products Logistics System

Published:2024-01-01 Issue:1 Volume:9 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Wang ZhuYun¹²,Wang LingLi¹,Xu Le³

Affiliation:

1. Southern Zhejiang Key Laboratory of Crop Breeding , Wenzhou Vocational College of Science and Technology , Wenzhou , Zhejiang, , China .

2. College of Landscape Architecture and Hydraulic Engineering , Wenzhou Vocational College of Science and Technology , Wenzhou , Zhejiang, , China .

3. Department of Information Technology , Wenzhou Vocational College of Science and Technology , Wenzhou , Zhejiang, , China .

Abstract

Abstract In agricultural services, logistics around agricultural products has been the focus of academic attention. To implement efficient and safe logistics of agricultural products and optimize logistics' overall efficiency and investment cost. This paper describes in detail the routing algorithm based on logical Petri nets, proposes a research system for agricultural product logistics based on the routing algorithm, and analyses system operation results through simulation experiments. The specific conclusions are as follows: (1) The logistics information modeling software based on logical Petri net is established, and the LPN model of the logistics information set is built based on it. (2) It is proposed that the server computer acts as a cloud service platform. The independent computer represents the traditional logistics information retrieval model, and the computational efficiency has been significantly improved. (3) The use of server computers to obtain logistics information in 300-400ms and the use of stand-alone computers to obtain logistics information in 50-120ms, the use of server computers to obtain logistics information is more efficient than using stand-alone computers. (4) Logistics data is a fast-growing trend; stand-alone computers cannot store massive data.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/amns-2024-1845

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