Intelligent detection method for leakage of sodium cyanide feeding port

By combining pressure fluctuation and image recognition technologies, real-time monitoring of sodium cyanide feed port leakage is achieved, solving the problem of lag in traditional gas concentration monitoring, enabling early warning and proactive intervention, and improving the safety of sodium cyanide feeding operations.

CN122196918APending Publication Date: 2026-06-12ZHEJIANG BRONZE TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG BRONZE TECHNOLOGY CO LTD
Filing Date
2026-03-26
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

Existing technologies for monitoring leaks at sodium cyanide feed ports suffer from latency and passivity, failing to detect leaks in a timely manner. This leads to the spread of toxic gases, posing a threat to operators, and is also susceptible to environmental interference, thus failing to meet the safety requirements of early detection and early response.

⚗Method used

By collecting real-time images or thermal imaging video streams of pressure fluctuations in the feeding chamber and the feeding port area, feature vectors are extracted and fused for analysis. Leakage identification is performed using support vector machines, random forests, or neural network models. Combined with image segmentation technology, the leak point is located, enabling early warning and proactive intervention.

🎯Benefits of technology

It enables timely early warning at the physical initiation stage of a leak, preventing the generation and spread of toxic gases, improving the safety and reliability of sodium cyanide feeding operations, and meeting the requirements for early detection and early handling of highly toxic chemical leaks.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of based on pressure fluctuation and image recognition sodium cyanide feeding port leakage intelligent detection method, system and storage medium, belong to industrial safety monitoring technical field.For the problem that existing technology relies on gas concentration alarm and exists monitoring lag, the method of the application comprises: synchronously collecting pressure fluctuation signal in feeding chamber and image signal of feeding port area;First feature vector of pressure signal and second feature vector of image signal are extracted respectively;After fusion, input pre-trained leakage identification model, calculate to obtain comprehensive leakage risk probability value;When probability value exceeds threshold value, trigger linkage safety response.System corresponds and includes sensor module, data preprocessing module, feature extraction and analysis module and early warning and control module.The application creatively fuses pressure and visual dual-mode information, realizes early, direct detection to physical leakage, breaks through the lag nature bottleneck of gas monitoring, significantly improves the safety, early warning timeliness and emergency disposal efficiency of high-toxic material feeding process such as sodium cyanide.
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