Handheld acoustic imager

1. Multimodal Integration and Lightweight Design: Acoustic and infrared imaging fusion; the entire device weighs only 1.2 kg. 2. High-Sensitivity Acoustic Array and Algorithms: A 144-channel, high-sensitivity microphone array precisely detects partial discharges and gas leaks. 3. Intelligent AI and Advanced Data Analytics: Powered by the Xunsheng Cloud AI engine, it generates analysis reports with a single click. 4. Visualization and Real-Time Imaging Technology: Real-time overlay of acoustic field maps with visible-light video, providing an intuitive display of fault locations. 5. Versatile Adaptability and Industry‑Specific Innovations: Widely deployed across power, petrochemical, automotive, robotics, and other sectors; performance is on par with international competitors, with exports to 30 countries worldwide.

Fixed Acoustic Imager

The stationary acoustic imaging system is specifically designed for smart operations and maintenance applications, offering sound acquisition, image capture, and visualized sound localization. It enables visualized detection and diagnosis of equipment faults, and through remote real-time monitoring and acoustic data analysis, it establishes an all‑day, unmanned acoustic surveillance perimeter for critical areas, providing an early‑warning barrier for key components in substations, switchgear cabinets, petrochemical pipelines, and other vital infrastructure. Compact and lightweight, the device can be mounted in a fixed location or integrated onto various types of inspection robots, enhancing robotic inspection capabilities and supporting the implementation of unattended substation operation.

Online Acoustic Signature Monitoring System for Substation Equipment

The system identifies faults by analyzing the acoustic‑vibration signatures of transformers, overcoming the limitations of conventional electrical and chemical diagnostics that rely on physical contact. It enables non‑intrusive monitoring free from electromagnetic interference, accurately detecting nine typical fault types—including partial discharge, DC bias, short‑circuit impacts, clamp loosening, severe overloading, and abnormal noises from coolers—and promptly issuing fault alerts. This facilitates continuous 24/7 condition monitoring of substation equipment, with an accuracy rate exceeding 99.6% and operational‑maintenance costs reduced by more than 60% compared to traditional manual methods. The solution provides round‑the‑clock fault early warning and an intelligent safety‑assurance framework for unattended substations.