Research Article
BMTIIOT: Blockchain-based Multi-Technology Integrated Industrial Internet of Things Data Acquisition and Control Platform
@INPROCEEDINGS{10.4108/eai.18-12-2025.2365282, author={Jinhan Ma and Guofeng Zhang and Yajie Pang and Wenxue Yang and Hongbo Wang and Hanxiao Yu and Junjie Lin}, title={BMTIIOT: Blockchain-based Multi-Technology Integrated Industrial Internet of Things Data Acquisition and Control Platform}, proceedings={Proceedings of the 13th International Conference on Identification, Information and Knowledge in the Internet of Things, IIKI 2025, 18-21 December 2025, Chengdu, China}, publisher={EAI}, proceedings_a={IIKI}, year={2026}, month={6}, keywords={Blockchain IIoT Multi-technology Integrated Data Acquisition}, doi={10.4108/eai.18-12-2025.2365282} }- Jinhan Ma
Guofeng Zhang
Yajie Pang
Wenxue Yang
Hongbo Wang
Hanxiao Yu
Junjie Lin
Year: 2026
BMTIIOT: Blockchain-based Multi-Technology Integrated Industrial Internet of Things Data Acquisition and Control Platform
IIKI
EAI
DOI: 10.4108/eai.18-12-2025.2365282
Abstract
In order to cope with the challenges of data island, foreign technology card neck and lack of data traceability existing in the traditional Industrial Internet of Things (IIoT) data acquisition and control platform, this study designs and implements a Blockchain-based Multi-Technology Integrated Industrial Internet of Things Data Acquisition and Control Platform (BMTIIOT). The platform uses a four-layer architecture: edge data collection, blockchain and cloud database storage, cloud data processing and intelligent identification, and industrial scene interaction. It integrates core technologies such as Bluetooth beacons, intelligent robotic arms, and Yolo visual recognition to fully meet the data acquisition requirements in the industrial production process. It uses hybrid encryption mechanism, combined with SM4 algorithm and Ciphertext-Policy Attribute-Based Encryption (CP-ABE) algorithm to ensure the security of data transmission and storage. It constructs a cloud storage mechanism of on chain and off chain collaboration,and realizes tamper proof data integrity and whole process traceability. Experimental results demonstrate that the IIoT data acquisition platform achieves 99.5% mAP@50 and 97.08% mAP@50-95 in energy label detection, a 95% command recognition rate for robotic arms, a 99% voice wake-up response rate, ≤1.5 s label printing response, and over 99% reduction in on-chain data storage. These capabilities effectively meet the demand for trusted data support in IIoT.
