Advantech has built an edge computing IoT system from the ADAM-3600 intelligent remote terminal unit, which has WISE-PaaS/EdgeLink built in and is compatible with Azure Cloud Services. It accomplishes data collection, preprocessing, and transmission in one unit and integrates a cloud management platform that enables the installation of many continuous monitor systems with widespread measuring points and high-volume data management, thus allowing real-time the monitoring of discharged wastewater and ensuring compliance with public standards.
For such continuous monitoring systems, which require widely dispersed measuring points and the processing of large data volumes, system integrators need to build an automated wastewater monitor system that has a concise system structure and can be managed from a single platform. Advantech’s ADAM-3600 intelligent remote terminal unit (RTU) is an edge sensing system for data collection, preprocessing, and transmission forwarding. Its built-in WISE-PaaS/EdgeLink intelligent IoT core technology enables preprocessing (e.g., data summarization and conversion) at the device end, so that only key data are uploaded to the cloud platform, which saves communication costs while reducing the volume of data on the cloud platform. Therefore, system integrators may more efficiently develop an automated wastewater monitor system that complies with both factory system and government bid requirements.
In contrast to the customary multi-layer structured automated monitor system, this system integrator introduced cloud IoT technology and, with the currently market-preferred device-to-cloud solution, set the system to transmit data via MQTT from nearly 20 types of water quality sensor at various test stations to a unified management Azure cloud platform. Data filtering and multi-point transmission features were implemented on the cloud platform to meet the information publication requirements of various governing authorities. The concise structure of the device-to-cloud configuration reduced not only the hardware cost of individual stations but also the hassle of testing for hardware compatibility. By utilizing a public cloud service, the system integrator was spared the expense of building a data storage environment as well as the trouble of system maintenance; moreover, this setup offers greater flexibility with regard to scalability for future system updates. Furthermore, as the measuring points are widely dispersed, the data are transmitted wirelessly via a 3G network, and so the base-layer equipment were selected to meet the requirements of outdoor applications while possessing edge computing and data preprocessing features to minimize data transmission over the long term and thereby cut future costs for system transmission.
WISE-PaaS/EdgeLink plays a key role in device-to-cloud applications; specific to this project, its various practical features provide easier wireless communication for data forwarding. For instance, it supports multiple communications protocols (e.g., Modbus, DNP3, RESTful, MQTT, and IEC 61850-5-104) to connect with currently installed PLCs and the various sensors employed for physical signal collection. MQTT is also supported for seamlessly linking to third party public cloud platforms such as Microsoft Azure. In addition, before sending data to the cloud platform, it preprocesses data according to user settings, thus reducing the data transmission volumes. Previously, time-consuming software programming would have been required in order to accomplish this complex task, but now all it takes is simple setup process. For data transmission, the transfer resume feature can be employed to collect data in the ADAM-3600 SD card in the event of an unstable or interrupted wireless connection; should this occur, the data are then actively uploaded after the connection has been resumed, thus preventing data loss.
- ADAM-3600: Wireless intelligent RTU with 8 analog inputs, 8 digital inputs, 4 digital outputs, and 4-slot expansion
- WISE-PaaS/EdgeLink: Smart protocol conversion software
Stopping water pollution is a vital job for environmental conservation, but treatment methods and strategy development both require the long-term collection of water quality data to establish a basis for analysis and development appropriate remedies. Device-to-cloud unified monitoring and on-site detection enables the direct transmission of data from work sites to back-end management platforms, thus preventing data manipulation and allowing environmental conservation agencies to learn about pollution discharge conditions in a comprehensive, real-time manner.
Further demonstrating the reliability of the ADAM-3600, but water utility companies in China have also adopted the same system structure as the one used this project to build domestic wastewater discharge monitor systems in villages in suburban Beijing, thus confirming the suitability of this unity in the field of environmental conservation monitoring.