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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
Intelligent Inspection System for Converter Station (Substation)

Solution Background
With the rapid development of the power industry, substations, as key hubs for power transmission and distribution, are continuously increasing in scale and number. Traditional manual inspection methods suffer from low efficiency, high rates of missed and erroneous inspections, and significant susceptibility to environmental factors, making it difficult to meet the reliability and safety requirements of modern power grids. Furthermore, the cost of manual inspections is rising year by year, and inspectors face significant personal safety risks when dealing with harsh environments such as high voltage, high temperature, and toxic conditions. At the same time, national policy initiatives for the intelligent and digital transformation of power systems are promoting the development of intelligent substation inspections. Against this backdrop, smart substation inspection systems have emerged, aiming to improve inspection efficiency and quality through advanced technology and ensure the stable operation of the power grid.
Solution Introduction
Solution Overview

The communication method of the smart inspection system platform uses optical fiber communication. Image information, vibration information, sound information, temperature information, and other data collected by the front-end are transmitted to the server side. The server side is equipped with a monitoring platform that has intelligent recognition and analysis functions, which can provide real-time video information, noise information, and temperature information for key areas to O&M personnel, as well as provide early warning functions and intelligent decision-making services.
The platform can intelligently analyze equipment operation data obtained from the data acquisition system and provide an automatic alarm function. When an abnormal equipment operating parameter is detected, an alarm signal is automatically sent out. Equipment management personnel can quickly locate the alarming equipment by clicking on the alarm information, and at the same time, quickly retrieve information such as relevant operation and maintenance manuals, historical faults, and processing methods for the equipment, facilitating equipment management personnel to review and determine the alarm fault point.
Applicable Scenarios
- Conventional Substations: Applicable to conventional substations of various voltage levels, for daily inspection and status monitoring of equipment such as transformers, circuit breakers, disconnectors, and instrument transformers within the station.
- Unattended Substations: Can effectively solve the inspection challenges of unattended substations, achieving 24/7 uninterrupted automatic inspections, ensuring the safe and stable operation of substations.
- Substations in Complex Environments: In substations located in geographically complex areas such as mountains, plateaus, and deserts, where manual inspection is difficult, the smart inspection system can fully leverage its advantages, overcoming the impact of harsh environments to complete inspection tasks.
- Inspections under Special Climatic Conditions: During extreme weather such as heavy rain, heavy snow, and strong winds, the smart inspection system can still operate normally, promptly detecting equipment hidden dangers caused by severe weather.
Core Functions
| Function Module | Description |
| Intelligent Decision Making | Based on the intelligent inspection system for the converter transformer area, it guides inspection personnel to locate the specific position of defects and faults, making it convenient for maintenance personnel to determine the repair duration and fault level, and providing reasonable repair suggestions. |
| Infrared Temperature Field | Infrared temperature field detection: when an abnormality occurs, based on the actual measured temperature value, provide repair level suggestions, such as advising power outage for maintenance if there is a significant temperature jump; |
| Image System | When a fire occurs, automatically report the fire situation, and display the real-time progress of on-site disposal through 3D panorama and live video, guiding the safe and orderly emergency response to the fire on site; |
| Data Perception | Achieve monitoring and perception of fire hazards in converter stations; |
Technical Advantages
- High-precision detection: Utilizes advanced sensors and imaging technology to precisely detect subtle equipment abnormalities.
- Intelligent analysis: Based on deep learning algorithms, the system can automatically learn normal equipment operating states and fault patterns, continuously optimizing fault diagnosis models, improving diagnostic accuracy, and reducing false positive and false negative rates.
- High reliability and stability: The system adopts redundant design and high protection level equipment, with capabilities such as anti-electromagnetic interference, waterproof, and dustproof, allowing it to operate stably in complex electromagnetic environments and harsh climatic conditions.
- Reduced O&M costs: Through automated inspection and precise fault diagnosis, it reduces manual inspection workload and equipment maintenance costs, extends equipment service life, and improves the economic benefits for power enterprises.
Application Cases
Case 1: An unattended 220kV substation
- Project Background: Unattended operation led to inability to timely grasp equipment operating status, resulting in higher equipment fault risks.
- Solution Implementation: Implemented a smart inspection system, monitoring equipment status in real-time through robots and sensors, combined with AI algorithms for fault diagnosis.
- Application Effect: Since its operation, the system has successfully predicted 12 equipment faults, avoiding power outages caused by equipment failures. Equipment availability increased to 99.99%, significantly improving the operation and maintenance management level of the substation.
Solution Introduction
Application Cases
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