Linksens focused on high-end intelligent water quality monitoring equipments and solutions
The A‑AI041 ai portable water quality analyzer is an analytical instrument independently developed by Linksens to meet the demand for rapid water quality testing.
Based on the absorption characteristics of target substances across the full UV‑visible spectrum (190 nm–840 nm), the instrument combines deep learning algorithms with neural network deployment technology to establish a data model linking full‑spectrum absorbance to the concentrations of various water quality monitoring parameters, thereby enabling rapid analysis and quantitative detection of multiple water quality parameters.
| A - AI041 AI Portable Water Quality Analyzer | ||
| Spectrometer Wavelength Range | 190 - 840 nm | |
| Spectrometer Signal - to - Noise Ratio (SNR) | > 450:1 | |
| Spectral Resolution | < 2.0 nm | |
| Optical Path Length | 5 mm | Optional as required |
| Operating Temperature | 5°C - 45°C | |
| IP Rating (Protection Class) | IP65 | |
| Light Source | Xenon Lamp | |
| Data Interface | Modbus / RS485 | |
| User Interface | 10.1 - inch Touch Screen | |
| Measurement Cycle | 1 min / per measurement | Optional as required |
| Power Supply Mode | Mains / Solar Power | Optional as required |
| Data Transmission Protocol & Method | Modbus / RS485 | |
Main Features
The A‑AI041 ai portable water quality analyzer employs absorption spectroscopy to rapidly detect key indicators in water, such as Chemical Oxygen Demand (COD), total nitrogen, ammonia nitrogen, and total phosphorus.
Target monitoring parameters exhibit distinct absorption characteristics across the UV‑visible spectrum. The instrument performs a full‑spectrum scan of the absorption spectrum within the 190 nm–840 nm range, collecting absorbance data at each characteristic wavelength, and trains the model using the true label values of the water quality parameters.
Based on deep learning AI algorithms and automated control technology, the system deploys a neural network model to calculate the concentrations of various water quality parameters and output results using real‑time full‑spectrum data.