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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
Special Vehicle Distributed Monitoring Multi-dimensional Visualization System

Solution Background
As modern special vehicles develop towards intelligence, informatization, and complexity, the demand for status monitoring and data analysis during their test runs is increasing. Traditional monitoring systems often adopt a centralized architecture, which suffers from problems such as low data processing efficiency, poor real-time performance, and insufficient scalability, making it difficult to meet multi-parameter, high-dimensional, and cross-regional testing requirements. At the same time, the massive data generated during the testing process (e.g., mechanical performance, electronic system status, environmental parameters, battlefield simulation data) lacks effective visualization methods, leading to difficulties in extracting key information and affecting the efficiency of fault diagnosis and performance evaluation.
Solution Introduction
Solution Overview
Through distributed sensing networks, edge computing, and cloud-edge collaborative processing technology, real-time collection, fusion, and analysis of multi-source heterogeneous data are achieved. Multi-dimensional dynamic visualization technologies (such as 3D modeling, spatiotemporal situation mapping, interactive dashboards, etc.) are used to intuitively present vehicle status, test environment, and historical trends. This solution will significantly enhance the interpretability of test data, providing intelligent support for equipment R&D, fault early warning, and combat effectiveness evaluation, aligning with the development direction of future digital testing and support systems for special equipment.
Adopting an overall solution of "structural separation, functional layering". The system is divided into two parts: vehicle-mounted and ground-based, to adapt to long-term harsh vehicle testing environments. The vehicle-mounted part of the system completes the acquisition of test data, and the ground-based part of the system completes the management, display, processing, and application of test data.
Applicable Scenarios
- Special vehicle testing and performance verification;
- Dynamic health status monitoring during railway special vehicle transportation;
- Simulation training and effectiveness evaluation;
Core Functions
| Function Module | Description |
| Multi-source heterogeneous data access | Supports real-time collection of data from sensors (temperature, pressure, vibration, etc.), buses (CAN, Ethernet), video/images, GPS/Beidou positioning, etc. |
| Spatiotemporal alignment and fusion | Unifies timestamps and coordinate benchmarks for data from different dimensions such as mechanical, electronic, and environmental, ensuring analysis consistency. |
| 3D Vehicle Model Interaction | Real-time mapping of vehicle component states (e.g., power system heat maps, suspension stress distribution). |
| Spatiotemporal Situation Display | Displays vehicle trajectories, speed curves, and terrain adaptability combined with GIS maps; historical data playback function to reproduce key events throughout the test. |
| Data Analysis Dashboard | Visual display of data such as transportation mileage, risk events, and energy consumption to assist management decisions. |
Technical Advantages
- Data Security: Encrypted data transmission, meeting classified transportation requirements.
- High Data Synchronization Accuracy: Synchronization accuracy ≤100μs
- High Data Acquisition Channels: 128 channels
- Multiple Data Acquisition Dimensions: 12 dimensions of data
- Low Latency Response: 5G + Edge Computing, warning latency <1 second.
Application Case Studies
Case One: High-Precision Vehicle Data Synchronous Acquisition and Analysis System
A certain type of special vehicle needs to undergo extreme environmental reliability testing, requiring synchronous acquisition of vehicle bus data, environmental data, driving dynamic data, etc., with time synchronization accuracy better than ±1ms, to accurately analyze multi-system coupling faults. The solution is based on PTP (Precision Time Protocol) for high-precision distributed synchronous acquisition, reorganizing multi-source data according to a unified time base (UTC + sensor local offset), with a system-wide time synchronization error of ≤100μs.

Solution Introduction
Application Cases
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