Nanjing Juge Environmental Technology Co., Ltd.

CEMS (Continuous Emissions Monitoring System) is a system designed for real-time monitoring of pollutants emitted from industrial sources. It is widely used in industries such as power generation, steel, cement, and chemicals to ensure compliance with environmental regulations. Below is a detailed breakdown of CEMS: ‌1. Components of CEMS‌ A CEMS primarily consists of the following subsystems:‌(1) Sampling System‌ ‌Probe‌: Extracts gas samples from smokestacks or exhaust ducts. ‌Heated Sample Line‌: Prevents sample gas condensation to avoid measurement errors. ‌Filter System‌: Removes dust and impurities to ensure sample purity. ‌(2) Analysis System‌ ‌Gas Analyzer‌: Measures concentrations of SO₂, NOx, CO, CO₂, O₂, etc., using techniques such as UV-DOAS (Differential Optical Absorption Spectroscopy), NDIR (Non-Dispersive Infrared), and CLD (Chemiluminescence Detection). ‌Particulate Matter Analyzer‌: Monitors dust emissions via laser scattering, beta-ray attenuation, or electrostatic charge methods. ‌Humidity/Temperature/Pressure Sensors‌: Correct measurement data for accuracy. ‌(3) Data Acquisition & Processing System‌ ‌DAHS (Data Acquisition & Handling System)‌: Collects, stores, processes, and transmits data to regulatory agencies. ‌PLC/Industrial PC‌: Controls system operation to ensure data stability and reliability. ‌2. Working Principle of CEMS‌ CEMS operates through the following steps: ‌Sampling‌: Gas is extracted from the emission source via a probe. ‌Pretreatment‌: Samples are heated, filtered, and dehumidified to remove interference. ‌Analysis‌: ‌Gas Analysis‌: Optical, chemical, or physical methods measure pollutant concentrations. ‌Particulate Analysis‌: Laser scattering or beta-ray techniques determine dust levels. ‌Data Processing‌: Data is calculated, corrected, and stored. ‌Data Transmission‌: Results are uploaded to regulatory platforms for compliance verification. ‌3. Common Measurement Methods‌ ‌(1) Gas Analysis Techniques‌ ‌UV-DOAS‌: Measures SO₂ and NOx with high anti-interference capability. ‌NDIR‌: Analyzes CO and CO₂ with excellent selectivity. ‌CLD‌: High-sensitivity detection of NOx. ‌Paramagnetic O₂ Sensors‌: Provide precise oxygen measurements. ‌(2) Particulate Measurement Techniques‌ ‌Laser Scattering‌: Measures scattered light intensity to determine dust concentration. ‌Beta-Ray Attenuation‌: Uses beta-ray absorption for high-dust environments. ‌Electrostatic Charge Method‌: Calculates concentration based on particle charge in an electric field. ‌4. Applications of CEMS‌ CEMS is widely adopted in: ‌Power Plants‌: Monitors SO₂, NOx, and CO₂ from coal-fired units. ‌Steel Industry‌: Tracks emissions from blast furnaces and sintering plants. ‌Cement Industry‌: Ensures kiln emissions meet standards. ‌Chemical Industry‌: Detects toxic and hazardous gas releases. ‌5. Advantages of CEMS‌ ‌Real-Time Monitoring‌: Ensures continuous compliance with regulations. ‌Automation‌: Minimizes manual intervention and improves accuracy. ‌Remote Data Access‌: Enables real-time oversight by regulators. ‌High Precision & Stability‌: Advanced sensors and algorithms ensure reliable data. ‌6. Regulatory Requirements‌ ‌China‌: Follows HJ 75-2017 Technical Specifications for Continuous Emissions Monitoring. ‌USA‌: Complies with EPA 40 CFR Part 60/75 under the Clean Air Act. ‌EU‌: Mandates CEMS installation under the Industrial Emissions Directive (IED). ‌7. Maintenance of CEMS‌ Regular upkeep ensures accuracy: ‌Calibration‌: Use certified gases to verify analyzer performance. ‌Probe Cleaning‌: Prevents clogging from dust buildup. ‌Flow/Pressure Checks‌: Maintain optimal sampling conditions. ‌Software Updates‌: Ensure system stability and troubleshoot issues. ‌8. Future Trends in CEMS‌ ‌IoT & Cloud Integration‌: Remote cloud-based data management for enhanced oversight. ‌AI-Driven Analytics‌: Predictive maintenance and anomaly detection. ‌Portable CEMS‌: Compact systems for emergency or small-scale monitoring. ‌Summary‌CEMS is a critical system for real-time monitoring of industrial emissions, measuring pollutants like SO₂, NOx, CO, CO₂, and particulates to ensure regulatory compliance. Comprising sampling, analysis, and data processing subsystems, it employs advanced technologies (e.g., DOAS, NDIR, laser scattering) and is vital in power, steel, cement, and chemical industries. Future advancements will focus on smart, cloud-connected solutions to meet tightening environmental standards.

A multi-parameter online water quality monitoring system is a critical tool in modern water quality management. By integrating multiple sensors and analytical tools, it enables real-time monitoring and analysis of key parameters in water bodies. This system not only improves monitoring efficiency and reduces labor costs but also provides scientific support for environmental protection and water resource management. Below is a detailed analysis of its working principles and applications. Working Principles The operation of a multi-parameter online water quality monitoring system relies on sensor technology, data acquisition and processing, communication technologies, and other interdisciplinary fields. ‌Data Acquisition:‌The system uses various sensors and probes installed in water bodies to collect real-time data on water quality parameters. These sensors include (but are not limited to): pH sensors Dissolved oxygen (DO) sensors Conductivity sensors Turbidity sensors Chemical Oxygen Demand (COD) sensors Biological Oxygen Demand (BOD) sensors Ammonia nitrogen sensors Total phosphorus sensors Total nitrogen sensorsThese sensors detect physical, chemical, and biological characteristics of water and convert them into electrical or measurable signals. ‌Data Transmission:‌The data acquisition unit transmits collected data to a processing system via wired or wireless communication. This step ensures real-time and accurate data transfer, forming the foundation for subsequent analysis. ‌Data Analysis:‌The processing system employs algorithms to analyze the data and derive specific values for water quality indicators. These values reflect current water quality conditions and can be compared with historical data to identify trends and patterns in water quality changes. ‌Data Storage and Reporting:‌Processed data is stored and compiled into reports for management review. These reports help managers assess overall water quality status and promptly address potential issues. Applications Multi-parameter online water quality monitoring systems are widely used across diverse fields. Key application scenarios include: ‌River and Lake Health Assessment:‌Monitoring natural water bodies to evaluate ecological health and support environmental protection and water resource management. ‌Drinking Water Quality Control in Water Treatment Plants:‌Ensuring compliance with safe drinking standards and safeguarding public health by detecting and resolving water quality issues in real time. ‌Wastewater Treatment Plant Efficiency Evaluation:‌Assessing treatment effectiveness to ensure discharged water meets regulatory standards, reducing pollution and protecting aquatic ecosystems. ‌Industrial Wastewater Emission Monitoring:‌Preventing (excessive emissions) by monitoring industrial wastewater in real time, enabling timely correction of violations and minimizing environmental harm. ‌Agricultural Irrigation Water Quality Management:‌Protecting farmland ecosystems by ensuring irrigation water meets agricultural requirements and avoiding crop damage. ‌Scientific Research:‌Supporting water quality analysis in research institutions by providing rich datasets for studies on environmental science and hydrology. ‌Public Swimming Pool Safety:‌Ensuring compliance with hygiene standards through real-time monitoring of pool water parameters, safeguarding swimmers' health. Conclusion With its comprehensive and efficient monitoring capabilities, the multi-parameter online water quality monitoring system has become indispensable in modern water management. By enabling real-time tracking of critical parameters, it offers scientific insights for environmental protection and sustainable water resource management. As technology advances, these systems will grow increasingly intelligent, networked, and standardized, further contributing to water safety and ecological preservation.

The extremely low ionic concentration of pure or low ionic water makes it difficult to establish a stable salt bridge effect in pH electrodes, resulting in erratic and unstable pH readings. Even if relatively stable pH values are obtained by excessively using external electrolyte solutions to force salt bridge formation, such readings may only reflect the pH of the electrolyte solution flowing from the electrode rather than the true pH of the water sample being measured. Our company’s pH electrodes resolve this challenge with the following innovations: ‌Large-area SNEX™ solid diaphragm (U.S. technology)‌ – Continuously releases electrolyte to stabilize pH signals. ‌Additional electrolyte infusion port‌ – Ensures consistent salt bridge performance. ‌Pure water-specific pH-sensitive bulb‌ – Delivers rapid response. These features enable accurate pH measurements, effectively extend electrode lifespan, and reduce maintenance costs for your operations.

The Park Environmental Safety Risk Monitoring and Early Warning System primarily consists of modules including a big data center, capability support platform, database subsystem, early warning subsystem, emergency response subsystem, data analysis subsystem, and information disclosure subsystem. The Toxic and Hazardous Gas Risk Unit Monitoring Station produced by our company can monitor pollution factors such as CO/HF/HCl/Cl₂/NH₃/H₂S/toluene/esters/aromatic hydrocarbons in real time. Sensors upload data to the park's 3D GIS platform, integrating basic information and spatial distribution of chemical parks, enterprise hazardous units, risk sources, monitoring stations/devices, emergency resources/facilities, and surrounding environments. This establishes an automated "point-line-area" monitoring network. By leveraging real-time data transmission from the monitoring network, the system integrates daily monitoring, early warnings, and emergency response coordination across the entire park onto a unified platform for comprehensive management. It enables real-time tracking of pollutant migration pathways, clarifies emission patterns and diffusion characteristics of enterprise-specific pollutants, and achieves functionalities including "real-time monitoring, risk warning, data processing, emergency response, and information dissemination."