Deep integration of convolutional neural network (CNN) AI technology with years of research achievements in specialized fields has enabled rapid and highly accurate intelligent identification of benthic organisms. This system simulates the human visual neural processing mechanism, using a hierarchical structure of convolutional layers, pooling layers, and fully connected layers to perform multi-scale feature analysis of benthic organism images. Based on training with massive biological samples, the network architecture can autonomously learn subtle key distinguishing features among species. Through feature space mapping, pattern matching, and probabilistic classification analysis processes, the system's overall identification accuracy is significantly improved. Additionally, it has strong adaptability and generalization capabilities; by introducing adaptive optimization algorithms, the model exhibits robust performance in complex environments and supports incremental learning and identification of unlabeled biological samples.

Dandong Ruite ambient air particulate matter sampling and weighing integrated monitoring system is RT-CCS used for automatic sampling and automatic membrane change of particulate matter PM2.5 and PM10 in ambient air, and can automatically weigh 47mm filter membrane and blank carrier, with pre-weighing function. One hundred thousandth or one millionth precision balance can be built in according to demand, and has the functions of constant temperature, constant humidity, static removal, four-level shockproof, etc. The whole process is completed independently and automatically in a closed clean environment, preventing environmental dust pollution, avoiding manual misoperation and data statistics errors, ensuring the reliability and accuracy of weighing data, reducing sampling and weighing errors caused by manual film change, transportation turbulence, manual weighing and other factors, and greatly improving the monitoring accuracy. It can be used as an ideal calibration equipment for online air particulate matter PM10/PM2.5 monitor.

RT-ZS200 is a new generation of noise measurement instrument using digital signal processing technology and network technology, which can measure a variety of evaluation indicators at the same time, modular design, users can choose the corresponding module according to their needs. The instrument has a large capacity storage, recording, U disk, card reader and other functions. Also embedded 4G, WIFI, Bluetooth and other wireless data transmission module, GPS positioning system, monitoring noise at the same time, provide location information. The instrument can be widely used in environmental protection, labor health, industrial enterprises, scientific research and teaching and other fields, complete environmental noise measurement, occupational health noise measurement, machinery and equipment noise measurement.

It is used for sampling particulate matter PM2.5 and PM10 in ambient air. It is a high-performance ambient air particulate matter sampler. It meets the standard requirements of "Technical Requirements and Detection Methods for Ambient Air Particulate Matter (PM10 and PM2.5) Sampler" (HJ93-2013). It can realize real-time monitoring of data such as working condition flow, standard condition flow, working condition volume, standard condition volume, ambient temperature, humidity, air pressure and other data, and can be saved, it has the characteristics of reliable operation, simple operation, small size and light weight, and easy installation.