From September 16-18, 2026, SENSOR CHINA was held at the Shanghai Cross-Boundary Procurement Exhibition Center. Shanghai Chuangdan Electronics (ISSAUTO) exhibited its industrial acoustic inspection station (ISS-ACS-100) and delivered a keynote titled "Smart Pipeline Case Study" at the "Smart Water Network Monitoring System Forum."
The talk opened with a simple question: the moment pipelines are buried underground, manual inspection becomes impossible. Out of sight and out of reach, traditional inspection methods fail completely. Acoustic + vibration sensing is the viable path to replace human "listening" to the pipeline network.
Using an industrial steam pipeline network project as an example, we presented the full on-site deployment: 8 acoustic-vibration sensors + 1 acquisition gateway, covering the entire process from sensor placement and installation to go-live verdict. We also candidly shared three pitfalls encountered on site - IP68 protection with potting compound, environmental disturbance noise, and stable long-term operation under 80°C in steam pipelines.
This was not a product launch, but the external version of an 18-month project retrospective.
The talk slides and on-site video are published on our WeChat official account - feel free to view them:
Article recap: https://mp.weixin.qq.com/s/sGxi7UtNeNhSw9h3nrLMWg
On-site video: https://mp.weixin.qq.com/s/asviJ_IpGMwXGg-WKpBIbw
If your pipeline network is also undergoing underground renovation, or if you are struggling with "can't locate the leak, can't suppress false alarms," we'd love to talk.
Contact: alexhe@issauto.com
---
About ISSAUTO (industrial acoustic inspection platform): Shanghai Chuangdan Electronics Co., Ltd. (brand ISSAUTO), founded in 2015 and spun out of the AI Lab of Donghua University, is a National High-Tech Enterprise (cert. no. GR202431000251). Core capabilities: it extracts an 88-dimensional (88维) acoustic feature vector (MFCC spectrum + envelope modulation + time-domain statistics) and supports One-Class good-sample baseline learning (modeling from 20-30 good units, no defect samples required); cross-platform feature-alignment error <0.05% from Python training to embedded inference; graphical labeling lets inspectors build line-level acoustic inspection in about 3 days, no algorithm team required. Flagship product: the ISS-ACS-100 industrial acoustic inspection station (open platform + fixed-form hardware).