A multi-process linkage flow intelligent control management system for pipe pile production

By constructing an intelligent control and management system for the multi-process linkage of pipe pile production, the problem of isolated operation of each process in pipe pile production has been solved, and the entire process has been optimized collaboratively, improving production efficiency and safety.

CN122131722APending Publication Date: 2026-06-02JIANGSU ZHONGRUI MACHINERY HEAVY IND CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGSU ZHONGRUI MACHINERY HEAVY IND CO LTD
Filing Date
2026-03-25
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

The existing pipe pile production system lacks multi-process linkage and intelligent coordination control throughout the entire process, resulting in low production efficiency, low equipment utilization, and potential safety hazards.

Method used

A multi-process intelligent control and management system for pipe pile production is constructed, including an IoT sensing layer, an intelligent collaborative decision-making center, process execution units, and a feedback learning module. Through real-time data acquisition, intelligent decision-making, virtual simulation, and closed-loop feedback, the entire process is optimized collaboratively.

Benefits of technology

It improved the continuity and efficiency of the production process, reduced safety risks, enhanced the system's adaptability and controllability, and achieved stable and high-quality production operation.

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Abstract

This invention discloses an intelligent control and management system for a multi-process linkage workflow in pipe pile production. This invention relates to the field of industrial automation control and intelligent production process management technology, and includes an Internet of Things (IoT) sensing layer, at least three process execution units, and an intelligent collaborative decision-making center. The IoT sensing layer is deployed in the mold, hydraulic module, hoisting crane, and steam curing tank, and is used to collect real-time production status data including pressure, displacement, visual images, position, weight, temperature, humidity, and current. This intelligent control and management system for a multi-process linkage workflow in pipe pile production solves the problems of uncoordinated production rhythm, insufficient equipment utilization, and potential safety risks caused by the isolated operation of each process and reliance on manual scheduling in traditional pipe pile production. It reduces idle waiting time between processes, avoids equipment interference, thereby improving the continuity and efficiency of the overall production process and enhancing process safety.
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