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The intelligent auxiliary monitoring system focuses on precise management of auxiliary equipment, and uses IoT, AI, and big data analysis to achieve real-time monitoring of equipment data and in-depth diagnostic analysis. The system provides deep insight into the status of auxiliary equipment, including fire monitoring, safety protection, power environment, and online monitoring subsystems. By remotely controlling and managing equipment, it enhances fault prediction and preventive decision-making capabilities, achieving intelligent O&M and reducing personnel pressure while improving efficiency and safety.
3D monitoring
The system uses refined 3D modeling to enable friendly human-machine interaction for "safety protection, fire monitoring, environmental monitoring, intelligent control, online equipment monitoring, intelligent lock and control, video monitoring, and intelligent applications."
Intelligent monitoring
With intelligent sensors and sensor networks, the system collects data and edge computing results, monitoring the operating status of auxiliary equipment in real time. It automatically detects abnormalities and triggers alarms, implementing closed-loop automatic control based on preset strategies.
Visual linkage
By integrating video monitoring, the system links with safety, fire, and other alarm systems, ensuring equipment inspections and operations are actively tracked, with video footage being pushed and stored in real time.
Platform-based management
On a unified platform, the system integrates and optimizes resources from various auxiliary equipment subsystems, ensuring comprehensive information sharing and efficient operation across systems.
Real-time intelligent data analysis
Using AI algorithms, the system analyzes equipment parameter data in real time, monitors the health status of equipment and quickly detects abnormalities and defects. The system accurately identifies the specific fault types of equipment by analyzing comprehensive data features.
Historical data predictive diagnosis
Based on equipment's historical data and related algorithms, the system analyzes and predicts the health status of equipment, achieving fault prediction and preventive maintenance and ensuring the reliability of equipment operation and reducing operational risks.
Intelligent warning and decision support
The system intelligently analyzes real-time and historical equipment data to identify risk points and provide warnings. Based on an expert diagnostic library, it offers optimal O&M strategies for abnormal equipment conditions, reducing operational costs and improving productivity.
Personalized customization service
According to different scenarios and customer requirements, we provide personalized customization services, creating specialized solutions tailored to meet users' differentiated needs, thereby enhancing user experience and system applicability.
优特科技为马庄智慧站试点建设赋能
马庄变电站是太原电网主网网架的重要节点之一,设有220kV、110kV及10kV三个电压等级共50个间隔,所在运维班管辖11座无人值守变电站。国网山西太原供电公司积极探索,以220kV马庄变电站为试点,联合优特科技,打造了基于数字孪生的智慧变电站一体化应用平台。
重庆首座智慧变电站亮相!优特科技助力柳银变“数智”升级!
近日,优特科技参与的重庆首座智慧站110千伏柳银变电站完成智慧化升级改造,该站的成功投运对重庆建设具备“数智”特征的新型电力系统具有重要示范意义。
优特科技“全防误”助力技助新湖变智慧再升级!
国网池州供电公司,以GIS智能站-新湖变为试点,与优特科技在安徽省内率先推出智能变电站全防误系统,为该站构建了一套覆盖一、二次设备运行监视、倒闸操作、日常巡检全过程的智能防误体系。
上海供电公司让运维管理更智能
国网上海市区供电公司是上海市电力公司所属的大型企业,是区域经济发展的重要支点和战略链接。随着电网的智能化发展,以及辖区内的变电站数量和辅助类设备增多,主站缺乏对下辖变电站辅助设备的统一管理途径,站端缺乏对环境和设备监测的手段,设备安全和周界安全无从保证。为此,优特科技为其打造了“智能感知、云边协同、数字孪生、AI赋能”的辅助设备集中监控系统。
石化供电系统辅助监控解决方案
优特科技基于多年辅助监控系统实施经验,结合石化供电系统特点推出了适用于石化企业的供电辅助综合监控系统。
助力北京冬奥,优特科技全力护航奥运保电
2月20日,北京冬奥会盛大闭幕。在这场无与伦比的视觉盛宴的背后,优特科技全力保电,护航冬奥,为冰雪盛会贡献优特力量。
The system integrates ubiquitous power IoT technology, with the intelligent safety helmet as the core device. It connects upward via 5G/WIFI/WAPI to cloud service software, supporting business data interaction, constructing BeiDou differential base stations, and providing centimeter-level precise positioning for personnel, enabling real-time monitoring, remote work permissions, and supervision; it connects downward via Bluetooth/Lora to intelligent wristbands, intelligent safety belts, intelligent glasses, and other wearable devices to transmit data, status, and instructions.
By collecting the voltage and internal resistance of each battery cell and its changing trends, combined with advanced failure judgment models, the system can accurately assess battery performance and provide warnings, achieving online balanced maintenance of batteries and significantly extending battery life.
The online temperature monitoring system for power equipment integrates cutting-edge technologies such as CT power induction, IoT, and edge computing to record the temperature of power equipment and its heat-prone components in real-time, enabling comprehensive temperature monitoring and analysis.
The digital twin platform integrates new technologies such as 3D, AI, and big data, utilizing laser point clouds for precise real-scene modeling. It maps physical entities to digital models, creating a one-to-one replica of on-site conditions across industries. By matching multi-data sources with real-scene models, it constructs a virtual and real "unified map," enabling 3D presentation of primary and auxiliary equipment monitoring, remote intelligent inspections, stereoscopic anti-misoperation, and intelligent campuses, providing enterprises with a unified, efficient, and intelligent digital twin solution to drive digital transformation across industries.
refined remote supervision can be achieved, enabling remote maintenance and enhancing substation O&M management levels.
The intelligent warehouse management solution focuses on controlling tools and equipment , access control, video surveillance, and environmental factors within the safety tools and equipment warehouse.
The system is designed to efficiently integrate the scattered auxiliary equipment subsystems in substations, addressing the issues of diverse equipment types, dispersed information, and isolated systems. The system includes a service gateway machine, a comprehensive application host, and front-end intelligent sensors. It features multiple functions such as online monitoring, safety protection, and dynamic environment monitoring, supporting a three-tier system architecture for substations, O&M teams, and centralized control stations. The system's application provides strong support for the digital transformation of power grid enterprises and the construction of new power systems.
Wind turbines often face issues such as tower shaking and uneven foundation settlement during operation. To improve maintenance efficiency and ensure stable operation of the turbine, the solution adopts the method of installing tilt sensors at the top of the tower and base, and deploying static level meters to monitor the radial shaking and tilting of the tower in real time. The system provides early warnings and tower health assessments by analyzing collected data, and detects and addresses potential safety issues in a timely manner by using the real-time 3D simulation and an early warning system.
The system can monitor the wear status of the equipment in real-time by tracking key indicators such as moisture content, viscosity, and dielectric constant of lubricating oil. In addition, an intelligent fine filtration module is connected in parallel in the oil circuit circulation unit. When abnormal oil indicators are detected, the module automatically starts to filter the lubricating oil of the gearbox, removing impurities from the oil and preventing equipment failures, achieving perfect linkage between monitoring and diagnosis, greatly avoiding unplanned downtime and extending the equipment's lifespan.
Based on real-time monitoring data, 3D visualization, and intelligent features supported by AI and IoT technologies, the system comprehensively senses and intelligently controls multi-dimensional information such as equipment, environment, and personnel in distribution substations and transformer areas. It identifies potential faults and abnormal situations, combining human, physical, and technical defenses. It enhances the safety and reliability of distribution substations and transformer areas, reduces manual inspection and maintenance costs, improves response speed, and provides foundational support for the intelligent management of distribution networks.
The auxiliary equipment monitoring system, based on technologies such as IoT, big data, intelligent sensing, artificial intelligence, and 3D modeling, integrates and standardizes the resources of various isolated and scattered auxiliary control subsystems. This achieves optimized system resource allocation, information sharing, and seamless business integration between systems, addressing the complexities of substation auxiliary equipment, scattered operational information, and lack of coordination. It enhances the intelligent O&M of substations and supports the construction of new power systems.
With intelligent analysis and 3D visualization, the system provides innovative technical support for the safe and stable operation of infrastructure in sectors like power grids and petrochemicals, driving substation, distribution station, and transmission line operations toward intelligence and unmanned management. Through intelligent analysis and 3D visualization, the system provides innovative technical support for the safe and stable operation of critical infrastructure in industries such as power grids and petrochemicals. It drives key areas, including substations, distribution stations, and transmission lines, toward intelligent and unmanned operations.