（1） Ordinary network monitoring

Ordinary network monitoring is a basic monitoring system built on IP network technology, with TCP/IP protocol as the communication core, supporting wired and wireless transmission methods such as Ethernet, Wi Fi, 4G/5G, and compatible with mainstream video encoding formats H.264/H.265, ensuring efficient data transmission and storage.

This system is suitable for indoor and outdoor normal temperature, non flammable and non explosive, low dust conventional scenarios such as office buildings, residential communities, shopping malls and supermarkets, with relatively low deployment costs. It has basic functions such as real-time video preview, motion detection alarm, local/cloud video storage, and historical video retrieval. It is easy to operate and maintain, and can meet the core needs of daily security monitoring.

（2） Explosion proof/high temperature resistant monitoring technology

1. Explosion proof area monitoring

Explosion proof areas often contain flammable and explosive gases, vapors, or dust (such as petrochemical workshops and gas stations), and equipment operation faces risks such as explosions caused by electric sparks and accelerated aging due to high temperatures. Xunhui Technology's explosion-proof monitoring solution strictly follows the GB 3836 series explosion-proof standards, using explosion-proof and increased safety explosion-proof enclosures combined with sealing treatment technology to prevent explosive mixtures from entering the interior of the equipment and avoid safety hazards from the source.

2. High temperature area monitoring

For high temperature scenarios such as steel smelting blast furnaces, glass melting furnaces, etc. -40 ℃~250 ℃ and above, a water cooling system (with a high temperature resistance of about 150 ℃), an air cooling system (with a high temperature resistance of about 250 ℃), and high temperature resistant materials such as stainless steel and special alloys are used, combined with high-temperature protective glass lenses, to ensure the equipment's ability to resist heat radiation, corrosion, and imaging clarity. In the furnace temperature monitoring of the metallurgical industry, this technology can transmit real-time images of the molten state inside the furnace, assist in process optimization, reduce manual inspection risks, and improve production efficiency by about 15%.

3. Monitoring of dust areas

The core difficulty of dust area monitoring lies in the fact that dust easily adheres to the lens, causing blurred imaging and equipment short circuits due to accumulation, and the combustible dust environment needs to meet explosion-proof requirements. Xunhui Technology uses automatic cleaning devices such as high-pressure airflow blowing and wiper mechanisms, as well as hydrophobic and anti fouling coated lenses and IP66 or above dustproof enclosures to reduce dust impact; At the same time, combined with the dust concentration sensor linkage monitoring equipment, the cleaning program will automatically start when exceeding the standard, and the explosion-proof pan tilt platform will be used to achieve 360 ° no dead angle monitoring, suitable for scenarios such as coal mines, material yards, and grain processing.

（3） Special scenario monitoring equipment and applications

1. Fire observation in front of the furnace and imaging camera inside the furnace

◦ Fire watching camera in front of the furnace: equipped with high-temperature resistant optical lens and water-cooled/air-cooled protection design, it can withstand the harsh environment in front of the converter furnace, capture flame shape parameters in real time, assist operators in adjusting fuel ratio and air supply system, improve industrial furnace combustion efficiency by 10% -15%, and solve the problem of manual visual observation in dangerous areas in front of the furnace.

◦ In furnace imaging camera: By inserting a high-temperature resistant probe deep into the furnace, combined with infrared imaging and special sensing technology, it penetrates the high-temperature smoke to transmit data such as material distribution and coking inside the furnace. It supports remote monitoring and historical data tracing, reducing the risk of manual inspection, and is suitable for high-temperature industrial scenarios such as steel and non-ferrous metal smelting.

1. Tank number recognition and speed measurement camera

Tank number recognition camera: integrating OCR character recognition and deep learning algorithms, the recognition accuracy of tank numbers such as oil tanks and chemical tanks reaches over 99.2%. It supports dynamic capture, realizes automatic registration of tank in and out, inventory counting, reduces manual recording errors, and improves logistics turnover efficiency by 30%.

Speed measuring camera: Based on video stream analysis and radar fusion technology, it can accurately measure the speed of vehicles from 0-250km/h in the transportation field and capture speeding violations; In industrial production, the monitoring error of material speed on conveyor belts and assembly lines is ≤± 1km/h. When the speed is abnormal, a shutdown warning is triggered to ensure production safety and product quality.

1. Infrared temperature measurement and low latency camera

Infrared temperature measurement camera: Using the principle of infrared thermal imaging, non-contact temperature measurement of -20 ℃ -150 ℃ (conventional type) is achieved with an accuracy of ± 0.5 ℃. It can perform real-time temperature scanning on electrical equipment, pipelines, etc., automatically alarm when there is abnormal high temperature, detect equipment overheating faults in advance, and reduce downtime for maintenance.

Low latency camera: using H.265/H.266 encoding and 5G/fiber optic transmission technology, the video transmission delay is controlled within 100ms, meeting the real-time requirements of high demand scenarios such as security emergency command and industrial robot remote control.

（4） Construction and Upgrade of Smart Monitoring Platform

1. Create a new smart monitoring platform

Adopting a three-tier architecture of "cloud edge end", the cloud is responsible for data storage and intelligent analysis, edge nodes process real-time data, and terminal devices achieve multi-source heterogeneous data collection; The core functional modules cover video surveillance, intelligent warning, device management, data visualization, etc., supporting multi scenario data access and unified management; The technology selection adopts deep learning framework, distributed storage technology, and high concurrency processing engine to ensure the intelligent analysis capability and scalability of the platform.

2. Intelligent transformation of old monitoring platform

Aiming at the problems of insufficient computing power, single algorithm and poor device compatibility of traditional platforms, set the transformation goals of AI algorithm integration (behavior recognition, anomaly detection), hardware device upgrade (high-definition cameras, edge computing nodes), and implement the path in stages: first complete the equipment compatibility test and algorithm interface development, then deploy the intelligent analysis module, and finally conduct system joint debugging and performance optimization to ensure a smooth transition.

3. Customized algorithm services for special needs

For specific industry scenarios such as industrial production and transportation hubs, in-depth analysis of monitoring pain points and customized development of algorithms (specific behavior recognition, hazardous material detection); By collecting sample data and optimizing model training, algorithm customization is achieved, and a 7 × 24-hour technical response mechanism is provided to ensure stable operation and continuous iteration and upgrading of the algorithm.

（5） Application of Smart Fire Monitoring System

1. Infrared fire alarm monitoring technology

Based on infrared thermal radiation detection technology, non-contact capture of surface temperature distribution of objects and conversion into thermal images. The preset temperature threshold is adjustable from 50 ℃ to 300 ℃. When the temperature exceeds the standard or the temperature rise rate is abnormal, an automatic sound and light alarm is triggered to achieve early fire warning. This technology is not affected by light, smoke, or dust interference, and can penetrate thick smoke to identify the location of fire sources. It is suitable for places such as warehouses, computer rooms, and cable tunnels, with a false alarm rate more than 30% lower than traditional smoke detectors.

2. Visual recognition fire alarm monitoring system

By using deep learning algorithms such as convolutional neural networks, flame dynamic features (flicker frequency, color distribution) and smoke morphology changes (diffusion speed, grayscale features) can be recognized, and early warning can be given at the initial stage of fire (flame<0.5 ㎡ or smoke concentration<0.1mg/m ³), which is 3-5 minutes earlier than traditional systems. At the same time, it supports linkage with fire control systems, automatically starts sprinkler and smoke exhaust equipment, and pushes alarm information to monitoring centers and management personnel mobile terminals. It is suitable for places such as shopping malls, office buildings, and industrial parks.