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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
Proving Ground Vehicle Spatiotemporal Signal Acquisition, Transmission, and Visualization System

Solution Overview
The Proving Ground Vehicle Spatiotemporal Signal Acquisition, Transmission, and Visualization project is a comprehensive intelligent management platform for military equipment proving grounds, 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 constructs a digital mirror of the physical proving ground through high-precision sensors, video surveillance, and intelligent algorithms, providing precise technical support for equipment testing, training optimization, and decision-making, promoting a comprehensive digital and intelligent upgrade of proving ground management.
Solution Introduction
Core Technology Highlights
- Digital Twin Engine
Based on 3D simulation technology, it achieves high-precision virtual mapping of the proving ground environment, vehicle operating status, and physical entities, supporting dynamic interaction and real-time synchronization.
It loads massive city-level real-scene 3D data in seconds, offering transparent/solid dual-mode switching, intuitively presenting armored vehicle trajectories and command execution effects. - Multi-source Data Fusion
Integrates multi-dimensional sensing data from lidar, RTK positioning, and video surveillance, acquiring vehicle speed, position, trajectory, and driver behavior information in real-time.
Supports massive data storage and millisecond-level response, compatible with SQL, NoSQL databases, meeting efficient data processing needs in complex scenarios. - AI Intelligent Analysis
Fatigue Driving Recognition: Real-time warning of abnormal driver status through facial features and physiological signal monitoring.
Dangerous Action Detection: Uses YOLO algorithm to identify distracting behaviors such as smoking and making phone calls, enhancing test safety. - 3D Visualized Cockpit
Based on a 3D GIS engine, it builds a
Supports data charts (line charts, radar charts), 3D models, and real-time video linkage, providing multi-dimensional decision support.
Core Functions
- Real-time Monitoring and Dynamic Mapping
Real-time tracking of vehicle position, speed, and trajectory, simultaneously drawing strike response time curves, supporting command and control, and situational awareness.
3D map dynamically displays armored vehicle operating status, linking front-end sensor data to achieve seamless interaction between virtual and physical. - Intelligent Early Warning and Risk Control
Threshold Alarm: Customizes parameter thresholds, triggering audible/visual alarms and marking abnormal data when exceeded.
Data Traceability: Full-cycle data storage and querying, supporting fault reproduction and optimization analysis. - Big Data Management and Visualization
Displays trend charts of critical component technical parameters, supporting loading of tens of millions of data points in seconds with smooth zooming.
Centralized management of electronic documents, enabling quick retrieval and sharing of unstructured data such as experimental reports and videos. - Driver Behavior Analysis
In-car cameras record driver operations and instrument status throughout the process, combined with AI algorithms to evaluate driving compliance.
Wireless video servers transmit data in real-time, supporting post-training review and strategy optimization.
Technical Advantages
- High Efficiency and Precision
Interface response speed ≤1000ms, rendering frame rate ≥25 frames/second, ensuring smooth real-time data presentation.
Fusion of laser point cloud and BIM models, measurement error less than ±0.15 meters, meeting high-precision modeling requirements. - Secure and Reliable
Data encryption transmission and multi-level access control, passed military-grade quality certification (GJB9001C-2017).
System availability ≥99.9%, supports redundant design and automatic fault switching, ensuring stable operation in extreme environments. - Flexible Expansion
Modular architecture compatible with mainstream IoT devices and data formats, supporting horizontal expansion and customized development.
Provides multi-language API for Python, Java, C#, seamlessly integrating with third-party platforms and business systems.
Application Cases
Case Study 1: Spatiotemporal Signal Acquisition at a Military Equipment Proving Ground
Pain Points: Offline testing of proving ground vehicles requires on-board detection, which is high-risk, time-consuming, and labor-intensive.
Solution: Vehicle front-end data acquisition + wireless networking transmission + digital twin platform, supported by intelligent sensing, wireless networking, and multi-dimensional visualization technologies, to achieve multi-dimensional data monitoring and display in coordinated armored vehicle tests. This integrates acquisition, transmission, storage, and display throughout the data flow, promoting digital upgrading of equipment testing processes.
Results: Single-vehicle test time saved by 50%, multi-vehicle test time saved by over 70%, and personnel safety risk reduced by over 95%.


Solution Introduction
Application Cases
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