Expert in Water Quality Measurement and Water Treatment Project Since 2007
Product Overview
Here is a summary of the product "Online Chlorophyll/Blue-green Algae Sensor" based on the provided introduction:
Product Features
**Product Overview:** The BOQU Online Chlorophyll/Blue-green Algae Sensor is an advanced monitoring device designed for various applications, particularly in measuring blue-green algae concentration in water. It features a proven design that meets global market standards for performance, durability, and practicality.
Product Value
**Product Features:** This sensor boasts a wide measurement range of 100 to 2,000,000 cells/mL, high precision with less than ±5% accuracy, and minimal sample volume for effective turbidity rejection. It supports standard RS485 Modbus communication and features integrated optical compensation to ensure consistent accuracy despite changes in LED brightness and ambient light conditions.
Product Advantages
**Product Value:** The sensor emphasizes efficiency and reliability in blue-green algae detection, providing fast and convenient online monitoring while ensuring high data accuracy. Its design addresses common measurement challenges, such as variable lighting and interference from other sources, ultimately delivering valuable insights for water quality management.
Application Scenarios
**Product Advantages:** BOQU Instrument, the manufacturer, leverages rich production experience and a strategic geographic location, enhancing its ability to foster partnerships and expand product reach. The sensor’s robust construction materials, such as SUS316L and titanium alloy, further enhance its durability for various applications, including harsh marine environments.
**Application Scenarios:** The sensor is suitable for a variety of environments including the pipe inlets of drinking water plants, water source monitoring sites, aquaculture, surface water analysis, landscape water management, and seawater applications. Its versatility allows it to be used in both freshwater and marine settings, adapting to different monitoring conditions.