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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
Dedicated Power Supply Health Management System

Introduction: Military quality, intelligent escort
In the military industry, the reliability of power equipment directly impacts national security and mission success. Faced with the potential risks of externally sourced 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 equipment, focusing on precise monitoring, intelligent early warning, and efficient maintenance, providing a solid guarantee for the stable operation of military power supplies.
Solution Introduction
Solution Overview
This project is centered around IoT sensing devices, dedicated to collecting data from power equipment. By linking and displaying the collected data with the equipment's twin model, it achieves precise monitoring of power supply health. Its main functions include:
- Real-time monitoring: Real-time monitoring of various operating parameters (including vibration, generator winding temperature, casing temperature, engine speed, voltage, current, ripple, surge, water temperature, current, power, oil pressure, inlet and return oil flow, coolant flow, intercooler air pressure, etc.).
- Intelligent diagnosis: Using intelligent algorithms to establish mathematical models for fault prediction and health management of critical components of dedicated power supplies (engine, ECU, generator, controller).
- 3D visualization: Simultaneously utilizing multi-dimensional visualization technology to display critical components hierarchically, locate fault positions, and guide installation and maintenance.
Applicable Scenarios
- Military Power Supply Factory Test: Simulating extreme conditions to ensure equipment reliability
- Equipment Operation and Maintenance Management: Real-time monitoring of operating status to prevent sudden failures
- Life Prediction and Maintenance Planning: Extending equipment service life and reducing maintenance costs based on big data analysis
Core Functions
- 100% Collection of 7 Major Categories and 41 Data Items
The equipment has 41 available data items, including seven categories: vibration, speed, flow, temperature, power, voltage, and current. Among these, vibration, noise, and voltage are high-frequency data, infrared temperature is image data, and others are low-frequency data. - High-Frequency Data 4 Major Spectrograms 24 Feature Indicators Multi-dimensional Analysis
Supports four major types of spectrograms: raw waveform analysis, acceleration spectrum analysis, velocity spectrum analysis, and trend analysis.
Statistics include 24 feature indicators such as RMS value, peak-to-peak value, margin, kurtosis, and critical frequency peak value. - Deployment of 9 Major Model Categories and Over 60 Alarm Rules
Based on multi-stage limit alarms, it covers three main types: instantaneous alarms, short-term statistical alarms, and long-term trend alarms, supporting the integration of big data models for machine learning and deep learning. - 5 Major Dimensions - Tiered - Health Model Solution
Over 60 alarms cover five major dimensions: engine, generator, controller, cooling device, and other accessories. The score for each dimension is evaluated based on the severity of the alarm, achieving tiered equipment health management.
Technical Advantages
- Digital Twin Linkage: Real-time synchronization of equipment data with twin models, achieving "virtual-real combination" for precise monitoring.
- Edge Computing + Cloud Collaboration: Local edge computers process high-frequency data in real-time, while cloud storage and analysis support long-term decision-making.
- Highly Compatible Hardware Ecosystem: Integrates 7 major categories and 41 data items, covering the entire area of engines, generators, and controllers.
Application Case Studies
Case One: Dedicated Power Supply Health Management System for a Military Unit
Pain Points: During the dedicated power supply testing process, equipment stability was insufficient, and failures were frequent, which could not be effectively controlled even after adopting multiple methods.
Solution: Multi-dimensional sensor sensing + intelligent algorithm models + visualization platform achieved full lifecycle health management of power equipment.
Effect: Dedicated power supply status monitoring accuracy rate over 90%, fault diagnosis accuracy rate over 80%, and remaining life stage prediction accuracy rate over 60%.




Solution Introduction
Application Cases
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