Eagle Eye Dust Reduction System

Smart Era Eagle Eye Fog Cannon Intelligent Linkage System Solution - Focusing on Dust Control Solutions in the Steel, Coking, and Cement Industries

1Eagle Eye Dust Reduction SystemSystem Introduction

The Eagle Eye Fog Cannon Intelligent Linkage System is an innovative environmental protection technology achievement launched by Zhiyi Era. By deeply integrating Eagle Eye monitoring technology with fog cannon dust removal methods, it constructs a full process dust pollution control system of "real-time monitoring intelligent recognition precise linkage dynamic governance", targeting the pain points of low efficiency, high energy consumption, and difficult control of dust pollution in industrial scenarios such as steel, coking, and cement.

The system integrates high-resolution cameras, intelligent recognition algorithms and flexible fog gun equipment. It captures real-time images of target areas through high-definition cameras. After in-depth analysis of intelligent algorithms, it accurately locks the location, diffusion range and pollution intensity of dust pollution sources, automatically regulates the spray angle, intensity and spray amount of fog guns, and achieves "on-demand governance". Compared with traditional fog guns, its core advantage is to achieve real-time identification of pollution sources (identification accuracy>95%), accurate positioning and adaptive governance, effectively reduce water resource consumption and energy consumption by more than 30%, while improving dust governance efficiency by more than 40%, and help enterprises achieve the dual goals of environmental protection compliance and cost reduction and efficiency increase.

IIEagle Eye Dust Reduction Systemcore functionality

1. Video stream output

Real time output of fog cannon operation status, target area monitoring screen, accurate labeling of target types (such as trucks, shovels, excavators, dust, water mist, reclaimers, stackers, etc.), and synchronous display of key information such as target name, location, confidence level, etc., to achieve visualization of the governance process.

identification type

video replay

2. Intelligent linkage

The Eagle Eye recognition system combines dust location and pollution behavior determination results to accurately calculate the coordinates of the target in the treatment area and its relative position with the fog cannon. It automatically generates execution instructions such as fog cannon rotation angle and pitch angle, and sends them to the fog cannon control PLC through Ethernet communication to control the start stop, rotation, pitch and other actions of the fog cannon, achieving a closed-loop operation of "recognition is linkage, pollution is treatment".

3. Accurate identification

Based on high-definition camera and intelligent algorithm, real-time analysis of production activities (such as vehicle operation, material loading and unloading) and dust emissions was carried out, and the recognition accuracy rate was more than 95%, providing accurate spray guidance for fog guns and avoiding blind treatment.

4. Flexible deployment mode

Support dual mode operation of single machine/network: Single machine mode is suitable for small-scale scenarios to achieve local monitoring and governance; The networking mode supports multi device data sharing, collaborative work, and remote management, improving system coverage (maximum coverage radius of 5km), response speed (linkage delay<100ms), and overall efficiency.

3、 Fog cannon linkage control

1. Start stop control solution

·Threshold automatic start stop: The server is connected to the TSP concentration monitoring data in the fog cannon treatment area, and the user can customize the linkage threshold - when the TSP concentration reaches or exceeds the threshold, the system automatically issues a start command; When it is below the threshold, the fog cannon will automatically stop, achieving "on-demand start stop".

·Plan control start stop: Support setting fog cannon timed start plans (such as fixed daily time periods) and working hours on the server to meet periodic governance needs.

2. Spray control solution

·Fixed point/Swing Spray: After Eagle Eye identifies pollution behavior, the server sends instructions to the fog cannon PLC through OPC protocol to control the precise start stop and spray mode of the fog cannon (fixed point focusing pollution source/swing coverage diffusion area), achieving precise dust suppression.

·Follow the vehicle and spray: Real time calculation of the spatial coordinates of polluting vehicles, control the fog cannon to adjust the spray angle synchronously with the vehicle's movement, ensuring that the dust source is continuously covered, suitable for dynamic vehicle operation scenarios.

3. Connection method of fog cannon

·Wired connection: suitable for close range scenarios with a distance of less than 50m, transmitting control signals through cables with high stability.

·Wireless Connection: Using LoRa wireless transmission module, it supports medium to long-distance or wiring limited scenarios with a distance of less than 5000m, with flexible deployment and low cost.

4、 Eagle Eye Fog Cannon Linkage Core Technology

1. YOLO11 object detection technology

As the latest iteration algorithm of Ultralytics' YOLO series, YOLO11 takes "high precision, high efficiency, and strong adaptability" as its core advantages, supporting the implementation of intelligent system functions:

·Enhanced feature extraction: Improve the backbone and neck architecture, enhance the ability to capture target features in complex environments such as dust and lighting changes, and improve detection accuracy by 15% compared to previous generations.

·Optimize efficiency and speed: Refine architecture design and training process, increase processing speed by 20%, while reducing parameters by 22% (YOLO11m vs YOLOv8m), suitable for multi scenario deployments such as edge devices, cloud platforms, and NVIDIA GPUs.

·Multi task support: covering multiple computer vision tasks such as object detection, instance segmentation, and pose estimation, meeting diverse needs such as vehicle recognition, dust localization, and area determination.

2. Implementation of core business

·Visual interaction: The target area is filled with semi transparent and marked with dashed borders. The detection box displays real-time information such as vehicle name, confidence level, and status score (homework/stationary) in the upper left corner, presenting monitoring results intuitively.

·Vehicle operation determination: By comparing the difference in target position changes between the two frames before and after, and comparing it with a preset threshold, the vehicle status is determined - the red box represents the operation, and the green box represents stillness.

·Region and pollution binding recognition: Based on target location information, determine whether the vehicle is in the designated monitoring area; By expanding the range of vehicle positions (1 times up, down, left, right), identify whether dust is within the impact area of vehicle operations, and achieve "vehicle dust" correlation analysis.

·Vehicle tracking and speed measurement: Integrated video analysis and tracking algorithms, real-time capture of vehicle dynamics and positioning, speed calculation based on unit time movement distance, automatic warning when exceeding threshold.

·3D modeling of material piles: Multi perspective image acquisition+self-developed 3D reconstruction algorithm, quickly generating point cloud images and 3D models of material piles, achieving accurate measurement of material pile volume and weight (error<3%), supporting material management and environmental accounting.

5、 Software Platform Application Cases

Taking the "Intelligent Material Shed System" as an example, the platform constructs an integrated control system of "monitoring identification linkage governance feedback", with the core module functions as follows:

·Environmental governance: Real time display of the operating status of fog cannon and eagle eye equipment, supporting remote focusing of equipment, manual/automatic start stop and parameter configuration of fog cannon, and full visualization of the governance process.

·Environmental monitoring: Provide real-time/minute/hour/day level data queries for TSP concentration, temperature and humidity parameters, generate trend curves, and support pollution traceability analysis.

·Location layout: Map display of all eagle eye and fog cannon equipment installation locations, visually presenting the system coverage area.

·Equipment management: Statistics of equipment operating hours (daily/weekly/monthly/cumulative), fault records, and warning information to achieve monitoring of equipment health status and maintenance scheduling.

·Linkage record: Store the execution logs of the fog cannon and eagle eye linkage, support video playback of the governance process, and trace the governance effect.

The Smart Era Eagle Eye Fog Cannon Intelligent Linkage System takes "green, intelligent, and efficient" as its core. Through the deep collaboration of Eagle Eye monitoring and fog cannon dust removal, combined with advanced technologies such as YOLO11 object detection and 3D modeling, it provides precise dust pollution control solutions for industries such as steel, coking, and cement, helping enterprises achieve environmental protection standards, cost reduction and efficiency improvement, and intelligent upgrading.