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Product
Digital Platform
Emergency Rescue Command
Emergency Rescue Terminal
Advanced electromechanical equipment
Forest Fire Scene Situation Awareness and Command and Rescue Assisted Decision-making PlatformThis platform integrates multiple data sources such as satellite remote sensing, UAV inspection, ground sensor networks, and video surveillance to achieve real-time monitoring and rapid response to forest fire sites. Combining big data analysis, cloud computing, and artificial intelligence technologies, the platform can automatically identify fire risk areas, predict fire spread trends, assess the scope of disaster impact, and provide scientific rescue plans and decision-making basis for command personnel.
Geological Disaster Monitoring and Rescue Command PlatformThis platform is an intelligent rescue decision-making system designed for geological disasters such as landslides, debris flows, collapses, and ground subsidence, integrating real-time monitoring, data analysis, and visual command functions, aiming to improve disaster response efficiency and minimize casualties and property losses.
Non-line-of-sight microwave base stationNon-line-of-sight microwave communication products can achieve a net rate of 1000Mbps, with a maximum range of over 150 kilometers. Equipped with integrated antennas covering a wider frequency range, it also offers external models that can connect to third-party antennas, coupled with improved transmit power and receiver sensitivity, this product family will perfectly integrate into a wide range of applications such as backbone transmission in the telecom market, education, oil and gas, smart cities, video surveillance, and public safety. Specifically designed to meet the practical needs of most customers, the most complex projects, and the most challenging environments.
IMT-WG100 Network Communication GatewayIMT-WG100 Network Communication Gateway is a highly reliable communication device designed for complex environments such as disaster relief, emergency command, and field operations. It can ensure data interoperability among multiple systems and protocols under extreme conditions (e.g., network outage, power outage, severe weather), ensuring real-time information exchange between the rescue command center, on-site personnel, and various monitoring equipment, and improving emergency response efficiency.
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Solution
UnderwaterThis system, based on Internet of Things (IoT), Beidou/GPS positioning, big data analysis, and AI intelligent early warning technology, builds a "device-edge-cloud" collaborative transport safety control platform.
Water surfaceAchieved by real-time distributed multi-dimensional multi-channel sensing for easy installation and removal, the monitoring content achievable by the system includes: key sensing data such as temperature and humidity, vibration, stress and strain, deflection and displacement; full traceability is achieved using digital twin technology.
LandThis system is based on Internet of Things (IoT), BeiDou/GPS positioning, big data analysis, and AI intelligent early warning technology, building an "edge-end-cloud" collaborative transportation safety management and control platform to achieve
RailwayAchieved by real-time distributed multi-dimensional multi-channel sensing for easy installation and removal, the monitoring content achievable by the system includes: key sensing data such as temperature and humidity, vibration, stress and strain, deflection and displacement; full traceability is achieved using digital twin technology.
AerospaceAchieved by real-time distributed multi-dimensional multi-channel sensing for easy installation and removal, the monitoring content achievable by the system includes: key sensing data such as temperature and humidity, vibration, stress and strain, deflection and displacement; full traceability is achieved using digital twin technology.
Power Transformer PHM 3D Visualization Monitoring SystemThe Power Transformer Fault Prediction and Health Management (PHM) 3D Visualization System mainly consists of a 3D visualization display module, a video and sensor acquisition module, a data analysis and status evaluation module, and a fault prediction and health management module. It comprehensively analyzes data such as daily equipment operation information, equipment maintenance information, and equipment control information, provides a comprehensive evaluation of power transformer equipment, and offers decision-making maintenance suggestions to users.
Power Transformer Temperature Field Monitoring and Flame Detection SystemThe system is mainly composed of a front-end infrared dual-light camera, temperature and flame detection software. For equipment detected by the camera, 24-hour infrared temperature field detection is performed. When an abnormality occurs, based on the actual measured temperature values on site, maintenance level suggestions are provided; for example, if there is a significant temperature jump, a power outage inspection is prompted. In case of fire, the fire situation is automatically reported, and the progress of on-site disposal is displayed in real-time through 3D panoramic and live video, guiding safe and orderly on-site fire emergency response; achieving monitoring and perception of fire hazards in converter stations.
Intelligent Inspection System for Converter Station (Substation)The communication method of the intelligent inspection system platform adopts fiber optic communication. Image information, vibration information, sound information, temperature information, and other data collected by the front-end are transmitted to the server. A monitoring platform with intelligent recognition and analysis functions is deployed on the server side, which can provide real-time video information, noise information, and temperature information for critical areas to O&M personnel, and provide early warning functions and intelligent decision-making services.
Equipment Vibration Detection and Modal Analysis SystemWith the development of industrial equipment towards high-end and intelligent levels, vibration problems have become a core bottleneck restricting equipment reliability and lifespan. Traditional vibration detection systems generally suffer from issues such as insufficient accuracy, poor flexibility, and reliance on imported technology, making it difficult to achieve early fault warning and vibration source localization, especially under complex working conditions.
Pump equipment fault diagnosis systemThe ship engine room transmission mechanism refers to the system in a ship used for transmitting power and bearing loads, primarily consisting of components such as thrust bearings, intermediate bearings, and propeller shafts.
Fault Injection Detection DeviceThis system is controlled based on PXI controllers and signal generator boards, equipped with corresponding input devices, display devices, and panel signal quick-plug terminals, providing accurate and convenient system solutions. The main cabinet is connected to the device under test via cables, and after configuring the parameters of a specified fault through the operation panel, fault triggering is performed, along with control commands.
Vibration Damping Component Detection DeviceThe vibration damping component installation status monitoring device is an innovative monitoring system that integrates high-precision sensing, real-time data acquisition, and intelligent analysis. It is specifically designed for optimizing the installation status and health management of industrial equipment's vibration damping components (such as dampers, damping connections, and elastic hangers). Through non-contact laser measurement and multi-dimensional data analysis, this device can accurately monitor the deformation and displacement of vibration damping components, helping users achieve stable equipment operation, extend service life, and reduce maintenance costs.
Dedicated Power Supply Health Management SystemIn the military industry, the reliability of power supply equipment directly affects national security and mission success. Facing the potential risks of externally purchased and assembled power supplies, a dedicated power supply health management system has emerged. Relying on IoT sensing and digital twin technology, this system achieves full lifecycle health management of power supply equipment, with precise monitoring, intelligent early warning, and efficient maintenance as its core, providing a solid guarantee for the stable operation of military power supplies.
Test Site Spatiotemporal Signal Acquisition, Transmission, and Visualization SystemThe test field vehicle spatiotemporal signal acquisition, transmission, and visualization project is a comprehensive intelligent management platform designed for military equipment test fields, deeply integrating 3D geographic information, digital twin, artificial intelligence, and big data technologies to achieve comprehensive real-time monitoring, in-depth data analysis, and visual display of test vehicles. The platform, through high-precision sensors, video surveillance, and intelligent algorithms, builds a digital mirror of the physical test field, providing precise technical support for equipment testing, training optimization, and decision-making, driving the comprehensive upgrade of test field management towards digitization and intelligence.
Intelligent safety monitoring and multi-dimensional visual early warning management for axle vehiclesTo thoroughly implement General Secretary Xi Jinping's important discourse on production safety, strictly implement the Group and Logistics Supply Chain Headquarters' deployment for production safety work in 2024, and accelerate the application of digital and intelligent safety technologies. Based on the characteristics of engineering logistics production activities, strictly implement control over major hazard sources and address objective needs such as monitoring stress deformation of hydraulic axle vehicle main beams, monitoring tilt angles, identifying potential risks, and conducting safety inspections.
Distributed Monitoring and Multidimensional Visualization System for Railway Special VehiclesThrough distributed sensor networks, edge computing, and cloud-edge collaborative processing technologies, real-time collection, fusion, and analysis of multi-source heterogeneous data are achieved, and multi-dimensional dynamic visualization technologies (such as 3D modeling, spatiotemporal situation mapping, interactive dashboards, etc.) are utilized to intuitively present vehicle status, test environment, and historical trends.
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Party Building Culture
Land Transport
Related Solutions
Power Transformer Temperature Field Monitoring and Flame Detection System

Solution Background
Large power transformers are primarily used as main step-down transformers for power transmission and transformation in substations. They are a core part of substations, have large capacities, and operate in harsh environments. Inspections by operation and maintenance personnel pose certain safety risks. Once a failure or fire occurs, it can cause significant personnel and property losses and affect the normal operation of the transmission system in the region. Currently, the main faults of power transformers include: clogged radiators causing the main transformer oil temperature to rise, and insulation aging of solid insulation materials, all of which are accompanied by abnormal temperatures. Therefore, to take effective protective measures, monitoring the temperature of power transformers is an effective method. Analyzing their temperature data can infer the operating condition of the transformer, and for any abnormal phenomena, it can provide corresponding decision-making services for operation and maintenance personnel.
Solution Introduction
Solution Overview
The system mainly consists of front-end infrared dual-spectrum cameras, temperature, and flame detection software. For equipment detected by cameras, 24-hour infrared temperature field detection is performed. When an anomaly occurs, based on the actual measured temperature values on-site, maintenance level suggestions are provided, such as advising a power outage for inspection if there is a significant temperature jump; when a fire occurs, it automatically reports the fire situation, displays the on-site handling progress in real-time through 3D panorama and live video, guiding safe and orderly fire emergency response on-site; achieving monitoring and perception of fire hazards in converter stations.
Applicable Scenarios
- Conventional Power Transformers: Applicable to oil-immersed and dry-type power transformers of different voltage levels (10kV - 1000kV), enabling daily operating temperature and fire hazard monitoring.
- High-Load Operating Transformers: During peak power consumption in the grid or under special operating conditions, focus monitoring on high-load operating transformers to timely detect abnormal temperatures and fire risks caused by overload.
- Aging Transformers: For transformers with long service life and degraded insulation performance, accurately monitor temperature fields and detect flames to grasp equipment health status in real-time and prevent sudden failures.
- Outdoor Substation Transformers: Adapts to complex outdoor environments, ensuring stable operation of the transformer monitoring system under climatic conditions such as high temperatures, heavy rain, and sandstorms.
Core Functions
| Functional Modules | Description |
| Data Acquisition and Parameter Settings | Real-time acquisition of temperature data and image data within the monitoring field of view from infrared thermal imaging devices. Parameter settings include infrared camera parameter configuration, etc. |
| Temperature Field Monitoring and Analysis Module | Real-time analysis of temperature information in the monitoring area, monitoring for temperature fluctuations or continuous increases, and providing warning signals. |
| Data Analysis | In flame detection, the dynamics, contour, and temperature information of the flame must be combined for judgment. Combining these three reduces false alarms. The system uses the random forest method, with samples reaching the tens of thousands level; the algorithm adopts a feature-based method using flame contours and utilizes temperature information to filter out flame background information. |
| Image Display | Enables refreshing and displaying thermal image distribution information within the monitoring field of view. When a fire occurs, it can display location coordinate information on the image (up to 3 locations). |
| Alarm Module | If flames are detected within the monitoring field of view, an alarm signal is issued. |
| Data Storage | Automatically stores reports from the detection of an alarm event until the alarm is effectively suppressed and cleared. |
Technical Advantages
- Highly Reliable Flame Recognition: Deep learning-based flame detection algorithm, trained with a large number of samples, possesses high anti-interference capability, can effectively distinguish between flames and interfering factors like lights, reflections, etc., with a false alarm rate <0.1%.
- All-Weather Operation Capability: The system equipment has an IP66 protection rating, adapts to a wide temperature environment of -40℃ - 85℃, supports electromagnetic interference prevention and salt spray corrosion resistance design, and can operate stably in harsh environments.
Application Cases
Case One: A New Energy Substation
- Project Background: This substation is equipped with multiple dry-type transformers, operates in a complex environment, and has high requirements for temperature and fire monitoring.
- Solution Implementation: Implemented a temperature field monitoring and flame detection system, combined with the automation management needs of new energy power stations, to achieve data docking and interlinked control with the power station monitoring system.
- Application Effects: The system real-time monitors transformer temperature changes, automatically adjusts the operating status of cooling fans, reducing energy consumption by 15%; successfully warned of minor fires caused by insulation material aging 2 times, ensuring the safe and stable operation of the new energy power station.


Solution Introduction
Application Cases
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