Radar Level Sensor，ultrasonic level sensor，guided wave radar， level transmitter-HCCK

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PRODUSCTS

Millimeter-Wave 3D Scanner HCDAR-3D

360° Full Coverage + Pan-Tilt Dual-Axis Omni-Directional Scanning
3D Visualization System
Continuous online imaging to support streamlined lean production
No shutdown required for silo cleaning
Dust & moisture resistant
Cut labor costs and safeguard worker safety
Layered density measurement / Zonal density measurement
High-precision measurement empowered by AI algorithms
Accelerate inventory turnover and reduce capital occupancy
Supports inventory analysis
production traceability management and other workflows

PRODUCT DETAILS

3D Radar Level Scanner

Application Fields: Volume and weight measurement & monitoring of materials in large-scale plants such as grain factories, feed mills, coal yards, cement plants, power plants and building materials factories.

Industries Covered: Grain, feed, metallurgy, mining, coal mine, cement, building materials, power generation, waste treatment, etc.

Step 1: Omnidirectional Panoramic Scanning

Inside the silo, the device is equipped with a precision mechanical structure that drives the radar sensor to rotate 360° horizontally and perform vertical pitch movement. Similar to a surveyor turning around and tilting head up and down, it carries out blind-spot-free, high-resolution panoramic scanning over the material surface within the silo.

Step 2: Microwave Emission for Ranging

When the sensor rotates to each preset angle, the antenna transmits microwave signals. Upon hitting the material surface, microwaves are reflected like echoes and received by the antenna. By calculating the round-trip travel time of microwaves, the device can determine the material distance (i.e. material level height) at this angle with exceptional precision. The sensor then rotates to the next angle and repeats the process until the full silo scan is completed.

Step 3: 3D Modeling Powered by AI Brain

After collecting tens of thousands of angles and corresponding distance data, the device transmits data to its built-in "AI Brain". Combined with the accurate installation position of the equipment, the system integrates advanced technologies including image processing, big data analytics and machine learning, converting scattered data points into 3D spatial coordinates (namely 3D point cloud). It virtually reconstructs a full-scale realistic 3D model of the silo and stored materials using countless coordinate points.

Step 4: Intuitive Visualization & Intelligent Calculation

Finally, the 3D solid model is converted into intuitive visual images, enabling administrators to clearly observe the undulations and actual shape of materials inside the silo on screen. Meanwhile, the system automatically calculates key parameters such as material volume, weight (mass) and average material level based on this precise 3D model. It thoroughly avoids the limitation of traditional single-point measurement — judging the whole from partial information, and realizes digitalized and refined silo management.