Hyperspectral multi parameter water quality online monitoring instrument

Hyperspectral multi parameter water quality online monitoring instrument monitors multiple water quality indicators, including chlorophyll, turbidity, transparency, etc, CODMn， Suspended solids concentration, total nitrogen TN, total phosphorus TP, ammonia nitrogen NH3-N, CDOM (optional), extinction coefficient (optional); Spectral band of 400-1000nm; Spectral resolution of 1nm; No need for chemical reagents; The monitoring interval can be set to the second level.

China has numerous rivers, lakes, and reservoirs. With the rapid development of the economy and the increase of human activities, the problem of water pollution in rivers, lakes, and reservoirs has become increasingly serious, and has become a key factor restricting the sustainable development of the economy and society. However, the current conventional water quality monitoring technology has high construction costs, high maintenance costs, and serious lack of real-time data. Therefore, it is necessary to use high-tech means to conduct research on water quality monitoring of rivers, lakes, and reservoirs, providing timely and rapid information on the water quality status of rivers, lakes, and reservoirs to ensure people's normal production and life. The development and progress of remote sensing technology have opened up new avenues for monitoring and researching water bodies in rivers, lakes, and reservoirs. However, due to factors such as spectral resolution, spatial resolution, temporal resolution, and atmospheric radiation of satellite remote sensing images, satellite remote sensing cannot provide real-time continuous monitoring of small-scale urban rivers, lakes, and reservoirs. The monitoring parameters are limited and the accuracy is difficult to guarantee.

　　Hyperspectral multi parameter water quality online monitoring instrumentBy utilizing the principle of shore based remote sensing near the water surface, artificial intelligence training is conducted on the hyperspectral reflectance and synchronized water quality parameters of different water bodies. A machine learning algorithm is established to correlate hyperspectral reflectance with water quality parameters, enabling real-time inversion of water quality data based on water reflectance. This method has the advantages of in-situ measurement, real-time data, no secondary pollution, and low maintenance. At the same time, the visible light ball machine and millimeter wave liquid level radar integrated into the equipment can provide customers with more dimensional perception capabilities.

　　Hyperspectral lens

　　Hyperspectral multi parameter water quality online monitoring instrument monitors multiple water quality indicators:includingChlorophyll, turbidity, transparency, CODMn， Suspended solids concentration, total nitrogen TN, total phosphorus TP, ammonia nitrogen NH3-N, CDOM (optional)Extinction coefficient (optional); Spectral band of 400-1000nm; Spectral resolution of 1nm; No need for chemical reagents; The monitoring interval can be set to the second level.

　　Visible light part

　　

　　High definition video:Supports up to 2560 x 1440@30fps High definition image output, supporting smart265 efficient compression algorithm, can save storage space significantly; Supports 4x optical zoom and 16x digital zoom; Adopting an efficient infrared array, low power consumption, and a maximum irradiation distance of up to 50m.

　　millimeter wave radar

　　

　　Liquid level height detection:80GHz millimeter wave radar technology; Accuracy error less than 5mm; not affected by environmental climate such as wind, rain, fog, high temperature, etc

　　Features:

　　

　　Construction management is more economical

By using a hyperspectral water quality monitoring instrument, water quality monitoring can be achieved. A single device can monitor multiple indicators, and the installation method is the same as that of a regular camera, with only a pole. Compared with traditional water stations, there is no need to build a station building, and the construction and operation management costs are lower. It can be quickly replicated, making it convenient for users to build a wider coverage water quality monitoring network.

　　In situ monitoring is more authentic

Using the principle of hyperspectral inversion technology to achieve water quality monitoring, the hyperspectral water quality monitoring instrument is non-contact with water, which can realize in-situ water monitoring, avoid the accuracy problem of traditional water station pumping affecting water quality monitoring, and ensure that the monitored water quality is more authentic.

　　No need for reagents, more environmentally friendly

The principle of hyperspectral inversion technology is to monitor water quality. Compared with traditional water stations, it does not require the addition of any chemical reagents and does not produce secondary pollution. Choosing this solution will be more environmentally friendly and can achieve real-time monitoring.

　　Digital and visual fusion is more intuitive

We have achieved the integration of various indicators of water quality monitoring data and videos, providing users with a more intuitive and visual display method. At the same time, video AI analysis is also applied to intelligently detect behaviors such as ship intrusion, personnel intrusion, and floating objects on the water surface. The alarm events have both images and reality, which is conducive to preventing human interference in water quality monitoring.

　　Ecological openness adapted to water conditions

The spectral characteristics of the same water area vary in different seasons, and different water areas may also differ in the same season. The hyperspectral water quality multi parameter monitoring instrument is equipped with an AI analysis system, which uses artificial intelligence algorithms to train algorithm models based on different water samples according to water conditions. It supports remote algorithm upgrades to ensure water quality collection accuracy in different regions and time domains. And the product is based on HEOP, which can open hardware capabilities and support third-party algorithm docking.

　　

　　Industry Applications

Based on real-time monitoring of multiple water quality indicators and hydrological data from single/multi site equipment in situ, it is possible to diagnose and analyze the water quality categories, pollution characteristics (pollutant concentration levels, spatiotemporal distribution, changes along the way, evolution trends), pollution causes, and flux ratios in the watershed. This provides important decision-making basis for emergency warning, source tracing, precise law enforcement, and precise water quality control of water pollution incidents, and provides important support for winning the battle to protect clear water and comprehensively assisting in the construction of ecological civilization!