Energy storage cell pole piece multi-temperature zone multi-source heat pump drying control method, device and medium

By utilizing the waste heat from heat pump condensation and the waste heat from solar collectors to power the equipment, and combining edge computing and multi-model analysis, the self-starting and online fault early warning of the drying equipment were realized. This solved the problems of delayed fault detection and abnormal energy consumption location in the existing technology, and improved the reliability of equipment operation and maintenance efficiency.

CN122305781APending Publication Date: 2026-06-30SHANDONG SHANTAI NEW ENERGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG SHANTAI NEW ENERGY CO LTD
Filing Date
2026-04-28
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing drying equipment relies on manual inspections, which leads to delayed fault detection, inability to pinpoint the root cause of abnormal energy consumption, lack of online early warning for early mechanical failures of core components, and reliance on external power sources for sensor power supply.

Method used

The system utilizes waste heat from heat pump condensation and waste heat from the backplate of solar collectors to generate electricity, which powers sensors, MEMS microphone arrays, and edge computing gateways. It enables self-starting via edge computing, collects various parameters, and inputs them into variational autoencoders and isolated forest models for anomaly detection and root cause analysis. It also combines causal structural equation models for counterfactual simulation to achieve online early warning and fault diagnosis.

Benefits of technology

It enables self-starting without external power, provides early warning of mechanical failures, accurately locates the root cause of abnormal energy consumption, and reduces wireless transmission bandwidth and cloud platform computing pressure through edge-side pre-screening, thereby improving the timeliness and accuracy of fault detection.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application discloses a method, equipment, and medium for controlling the drying of multi-temperature zone, multi-source heat pumps for energy storage battery cells. The method includes: utilizing waste heat from heat pump condensation and waste heat from the backplate of a solar collector to generate electricity for self-starting; using a time-series dataset with a fixed sampling period via an edge computing gateway; extracting time-frequency domain features from the acoustic signature signal, inputting it into a variational autoencoder model, and calculating the reconstruction error; uploading the time-series dataset, reconstruction error, and the output voltage of the thermoelectric power generation module to a cloud platform, and calling an isolated forest anomaly detection model for anomaly scoring; calling a causal structural equation model to perform counterfactual simulation, calculating the residual between the counterfactual total energy consumption and the actual total energy consumption, and determining the parameter corresponding to the maximum residual as the root cause of energy consumption anomalies. This application achieves a self-closed-loop intelligent operation and maintenance system for drying equipment, from self-powered sensing and early fault warning to root cause location and remote adjustment, significantly reducing unplanned downtime, shortening fault diagnosis time, and reducing energy waste.
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