Internet of Things monitoring method and system for agricultural machinery manufacturing

Abstract

The invention discloses an Internet of Things monitoring method and system for agricultural machinery manufacturing. The system comprises a sensing layer, a data layer, a service layer and an application layer which are connected in sequence, the sensing layer is used for collecting the real-time state data of the agricultural machinery manufacturing, classifying and packaging the data according to the types of the equipment, and sending a link request to the data layer; the data layer is used for receiving the agricultural machinery manufacturing real-time state data packaged by the acquisition terminal in parallel according to the received link request of the acquisition terminal, analyzing the received real-time state data of agricultural machinery manufacturing in a sub-package manner,and storing the real-time state data in a real-time historical database and / or a relational database according to the type of the analyzed data packet; the service layer is used for performing business service on the stored data layer data based on the artificial intelligence to obtain the business service data; and the application layer is used for the bidirectional communication with the service layer.

Description

Technical field [0001] The present disclosure belongs to the technical field of agricultural machinery manufacturing, and relates to an Internet of Things monitoring method and system for agricultural machinery manufacturing. Background technique [0002] The statements in this section merely provide background information related to the present disclosure, and do not necessarily constitute prior art. [0003] At present, there is a major capacity gap in the agricultural machinery and construction machinery manufacturing industry, and various production problems have also emerged. Due to the lack of a complete information management system in the domestic agricultural machinery manufacturing industry, its production management methods are relatively extensive. Most operations rely on manual implementation, data are scattered and production efficiency is low, which cannot meet the needs of the rapidly developing modern manufacturing industry. Before the popularization of the Intern...

AI Technical Summary

Problems solved by technology

Due to the lack of a complete information management system in the domestic agricultural machinery manufacturing industry, its production management methods are relatively extensive. Most operations rely on manual implementation. The data is scattered and the production efficiency is low, which cannot meet the needs of the rapidly developing modern manufacturing industry.

Before the popularization of the Internet of Things, due to reasons such as high deployment costs and difficult implementation of information management systems, various large-scale manufacturing enterprises could only collect information scattered and inefficiently from production machines, environments and personnel, resulting in serious data loss and difficult management

[0004] During the research and development process, the inventor found that the agricultural machinery manufacturing process is mainly composed of three parts: welding, painting and final assembly. The welding line is mainly divided into the bottom plate line and the main welding line. It is intelligent, less automated, and has a low fault tolerance rate. Motor parameters require real-time monitoring to ensure welding quality; the main process of the coating line includes: pretreatment → hot water washing → pre-degreasing → degreasing → surface adjustment → phosphating → pure water washing → cathodic electrophoresis → electrophoresis drying → forced cooling → spray painting → topcoat Drying→strong cooling→grinding inspection, etc. As a large energy consumer in the entire agricultural machinery production process, the painting workshop is difficult to control such problems as abnormal energy consumption and excessive waste discharge, resulting in waste of energy and production loss. It also caused a serious impact; the final assembly line is mainly divided into engine, wiring harness laying, suspension, transmission shaft, brake arm, tire, hand brake and other installation processes, but basically all processes and parts are counted manually, and material information errors often occur , Missing and wrong parts and other inefficiencies

[0005] Therefore, if the comprehensive monitoring and analysis of the agricultural machinery production process cannot be carried out, advanced management methods and control strategies are also difficult to use, resulting in the loss and waste of production resources and data

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