R&D Background

When algal blooms break out, a large number of blue algae die and produce cyanobacterial toxins, large amounts of hydroxylamine, hydrogen sulfide and other toxic and harmful substances that seriously corrupt aquaculture water bodies, directly endanger farmed animals, and indirectly affect human physical and mental health through the food chain. Algal blooms are dubbed "water body killers". In recent years, the state has successively promulgated guiding documents such as the "Working Mechanism for Early Warning of Algal Blooms in Key Lakes and Reservoirs (Trial)" and the "14th Five-Year Plan for Ecological and Environmental Monitoring", emphasizing the importance of paying attention to and doing a good job in early warning and prevention of algal blooms in key basins and lakes.

To provide monitoring tools for the prevention and early warning of algal blooms, the company launched two independently developed algal bloom monitoring and early warning tools - portable algae analyzer and artificial intelligence algae image analyzer. The instruments are combined with monitoring platforms such as buoys, sailing ships, unmanned ships, and automatic water quality monitoring stations to conduct emergency, rapid, and large-scale source tracing and scope investigation of ecological disasters such as algal blooms.

LFDCS-B2016 Portable Algae Analyzer

Easier operation

No sample preparation is required. Just immerse the device in water and get a test data in 30 seconds.

Parameters can be expanded

Based on the natural fluorescence characteristics of algae cells, according to the characteristic spectrum and intensity of algae, accurate classification and detection of chlorophyll a and algae density of blue algae, chlorophyll a and algae density of green algae, chlorophyll a and algae density of diatoms, as well as multi-index measurement such as turbidity and temperature are achieved.

Fast analysis speed

Able to realize minute-level algae change trends, meeting the needs of real-time monitoring of water blooms and early warning

Strong applicability

The device is lightweight and equipped with data storage function, and can be flexibly applied to various usage scenarios such as floating ships, monitoring stations, laboratories, etc.

AlgaeAI-L1000 Algae Image Intelligent Analyzer

Full process automation

The system has multiple sample automatic injection, microscopic photography, and fully automated analysis and counting processes. After a sample is injected once, no professional intervention is required. The system automatically outputs information such as the algae genus, algae density, biomass, and diversity of the sample to avoid the introduction of human errors.

Fast analysis speed

A sample can be analyzed in 30 minutes (50 fields of view), which is equivalent to a professional's 3-hour workload, greatly improving the detection efficiency

High recognition accuracy

Based on the certified standard algae atlas database, it uses deep neural network technology to identify more than 100 algae species in multiple watersheds (expandable), and the device's recognition accuracy exceeds similar products

Verifiable comparison

Users can verify the recognition results by image verification. With the standard morphological library of algae, incorrect recognition results can be corrected to ensure the accuracy of the test.