Chemical material pipeline anti-blocking monitoring device based on AI artificial intelligence

By installing pressure sensors, vibration sensors and AI data analysis modules on chemical feed pipelines, combined with blockage and shock mechanisms, real-time monitoring and automatic blockage removal of chemical pipelines is achieved, solving the problem of reduced material feed efficiency caused by pipeline blockage in chemical production, and improving production efficiency.

CN222702868UActive Publication Date: 2025-04-01HUBEI JINGSHEN SAFETY TECH CO LTD
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Patent Information

Application Number
CN202420610491.0
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2024-03-27
Publication Date
2025-04-01
Estimated Expiration
2034-03-27

AI Technical Summary

Technical Problem

In chemical production, chemical reaction raw materials are prone to blockage during the transportation process, resulting in a decrease in the efficiency of pipeline material conveying and the inability to obtain the blockage position information in real time, resulting in an extended maintenance time.

Method used

The anti-blocking monitoring device of chemical material conveying pipelines based on AI artificial intelligence is adopted. By setting up pressure sensors and vibration sensors on the material conveying pipelines, combining communication modules, databases, alarm modules and AI data analysis modules, the pipeline situation is monitored in real time, the blockage situation is determined through AI model comparison, and automatic blockage is realized through blocking the shock mechanism.

Benefits of technology

Accurate monitoring and automatic blockage removal of chemical pipeline blockages are achieved, the efficiency of pipeline blockage is improved, maintenance time is saved, and the continuity of chemical pipeline material transportation is ensured.

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Abstract

A chemical feed pipeline anti-blocking monitoring device based on AI artificial intelligence includes a feed pipeline, a pressure sensor and a vibration sensor are arranged on the feed pipeline, the pressure sensor and the vibration sensor are connected to the communication module, the communication module is connected to the database, and the database is connected to the alarm module and the AI ​​data analysis module. A control module is arranged in the database, and a blockage shock mechanism is installed on the outer wall of the feed pipeline; the AI ​​data analysis module generates an AI model by performing an AI model on the data collected in the database, and then compares it with the AI ​​model, and transmits the control information to the control module in the database according to the comparison difference, and controls the action of the blockage shock mechanism to realize shock unblocking. The new device adopts the above structure, which can monitor the chemical pipeline in real time and determine the blockage situation after comparing the monitoring data results with the AI ​​model, and realize efficient unblocking operation when the blockage situation is serious, so as to ensure the continuity of the chemical pipeline material transmission.
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