Stereoscopic lake cyanobacterial biomass spectral detection system
By utilizing ultraviolet-visible spectroscopy and a miniaturized fluorescence detection system, a spectral detection system for lake cyanobacteria biomass was constructed. This system solved the problem of single-parameter detection in existing spectral water quality testing instruments, enabling multi-parameter, portable, and low-power three-dimensional monitoring of lake cyanobacteria biomass, thereby improving detection accuracy and frequency.
Patent Information
- Application Number
- CN202211501377.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-11-28
- Publication Date
- 2026-04-14
- Estimated Expiration
- 2042-11-28
AI Technical Summary
Existing spectroscopic water quality testing instruments are mostly single-parameter detectors. These instruments are complex, bulky, and costly, making it difficult to achieve multi-parameter online detection. Furthermore, direct spectroscopic detection is susceptible to interference from different water bodies, resulting in unstable detection. They cannot meet the requirements for three-dimensional, portable, and low-power consumption of cyanobacterial biomass in lakes.
By employing ultraviolet-visible spectroscopy, combined with a miniaturized fluorescence detection system, dynamic positioning technology, vacuum sealing technology, and real-time data transmission, an algorithm for inverting spectral parameters of the three-dimensional distribution of cyanobacteria in eutrophic shallow lakes was constructed. A three-dimensional lake cyanobacterial biomass spectral detection system was designed, including a host and a probe, which are connected by optical fiber to achieve multi-parameter detection and signal processing.
It achieves multi-parameter spectral detection, and the equipment is miniaturized, portable, and low-power. It can perform in-situ, online, and high-precision three-dimensional monitoring of cyanobacterial biomass in lakes. It has a large detection depth, long continuous working time, and accurate positioning, making it suitable for detecting the thickness of cyanobacterial blooms in lakes.