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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
Major Equipment Transportation and Delivery Safety Management and Control System
The Transportation and Delivery Security Service Platform is supported by big data, uses transportation and delivery models as core components, operates with edge-cloud collaboration, and displays with multi-dimensional visualization. It achieves full-process, multi-dimensional, visual, and intelligent safety control for critical transportation and delivery links, conducting real-time monitoring of goods and vehicles during transportation and delivery, promptly identifying or predicting potential hidden damages and transportation/delivery accidents to goods and vehicles, and simultaneously addressing potential dangers during vehicle operation.
Major Equipment Transportation and Delivery Safety Management and Control System
Related Digital Platforms
Major Equipment Transportation and Delivery Safety Management and Control System
Platform Introduction:
The Transport and Investment Security Service Platform is supported by big data, with the transport and investment model as its core component, end-cloud collaboration as its operating mechanism, and multi-dimensional visualization as its display mode. It achieves full-process, multi-dimensional, visual, and intelligent security control over important transport and delivery links, real-time monitoring of loaded goods and vehicles during the transport and delivery process, timely identification or prediction of potential hidden damage to loaded goods and vehicles, and transport and delivery accidents, while also identifying potential dangers during vehicle operation.
Platform Effects:

Platform Functions:
1. Full-process status monitoring: No matter what transportation mode the goods are in, the platform can real-time acquire their location, temperature, humidity, vibration, and other status information, uniformly displaying them on the multimodal transport monitoring large screen. Once an abnormality occurs, a collaborative emergency response mechanism across transport modes is immediately activated, such as quickly coordinating railway or waterway transport resources for cargo transshipment when a road transport vehicle breaks down, ensuring transport safety and timeliness.
2. Visual traceability display: Using the timeline as a clue, combined with GIS maps, the platform intuitively presents the movement trajectory of goods at different transportation stages in an animated form, including loading and unloading locations, transit nodes, and dwell times. At the same time, it provides data dashboards displaying key indicator statistical analysis results during the transportation process, making it convenient for managers to quickly grasp the overall picture of transportation.
3. Intelligent risk assessment: Based on an AI prediction model built from historical accident data, the platform can perform real-time simulations of risk scenarios such as cargo impact overload, fatigued driving, and abnormal route deviation. Through machine learning, it continuously optimizes the accuracy of risk prediction, provides early warnings, and reserves golden response time for safety decisions.
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An integrated intelligent rescue command center based on IoT, big data, and GIS geographic information, covering natural disasters (earthquakes, floods), accident disasters (fires, hazardous chemical leaks), public health events, etc., providing real-time collaborative combat capabilities for command centers, frontline rescue teams, and collaborative units.
Based on Industrial Internet + AI, the intelligent operation and maintenance management platform ensures the safe, stable, and efficient operation of major equipment, extends its service life, and reduces operation and maintenance costs through real-time monitoring, fault prediction, health assessment, and decision optimization.
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This information is a test element. It can be deleted and replaced with your desired elements when in use
2021-09-15 00:00
This information is a test element. It can be deleted and replaced with your desired elements when in use
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This information is a test element. It can be deleted and replaced with your desired elements when in use
Platform Functions
Platform Introduction:
The Transport and Investment Security Service Platform is supported by big data, with the transport and investment model as its core component, end-cloud collaboration as its operating mechanism, and multi-dimensional visualization as its display mode. It achieves full-process, multi-dimensional, visual, and intelligent security control over important transport and delivery links, real-time monitoring of loaded goods and vehicles during the transport and delivery process, timely identification or prediction of potential hidden damage to loaded goods and vehicles, and transport and delivery accidents, while also identifying potential dangers during vehicle operation.
Platform Effects:

Platform Functions:
1. Full-process status monitoring: No matter what transportation mode the goods are in, the platform can real-time acquire their location, temperature, humidity, vibration, and other status information, uniformly displaying them on the multimodal transport monitoring large screen. Once an abnormality occurs, a collaborative emergency response mechanism across transport modes is immediately activated, such as quickly coordinating railway or waterway transport resources for cargo transshipment when a road transport vehicle breaks down, ensuring transport safety and timeliness.
2. Visual traceability display: Using the timeline as a clue, combined with GIS maps, the platform intuitively presents the movement trajectory of goods at different transportation stages in an animated form, including loading and unloading locations, transit nodes, and dwell times. At the same time, it provides data dashboards displaying key indicator statistical analysis results during the transportation process, making it convenient for managers to quickly grasp the overall picture of transportation.
3. Intelligent risk assessment: Based on an AI prediction model built from historical accident data, the platform can perform real-time simulations of risk scenarios such as cargo impact overload, fatigued driving, and abnormal route deviation. Through machine learning, it continuously optimizes the accuracy of risk prediction, provides early warnings, and reserves golden response time for safety decisions.
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Tel: +86(0)024-29325858 | 86(0)024-86268088
Email:mail.syseic.com
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