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Manual record processes are cumbersome, and the large number of tools and equipment makes them difficult to manage, lacking lifecycle management.
Environmental adjustment relies solely on manual efforts, and the lack of environment parameter monitoring makes it difficult to stabilize indoor conditions.
Personnel identity cannot be verified, allowing unauthorized personnel to enter freely, and entry records are difficult to retain.
It is impossible to monitor the warehouse in real time, and on-site inspections are time-consuming and laborious, with no video evidence for traceability.
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. By using IoT technology, it manages tools throughout their entire lifecycle, from incremental inventory, testing and inspection, use and storage, to inspection and disposal. This comprehensive approach significantly addresses issues of data loss, isolated information, and outdated management in traditional warehouses, and enhances overall control of the warehouse environment, empowering the warehouse with an intelligent "brain."
Seamless entry and exit of tools and equipment
Tools and equipment are batch-recognized and automatically recorded upon entering and exiting the warehouse, and in-warehouse conditions are automatically inventoried, greatly improving warehouse management efficiency.
Tools and equipment lifespan visualization
Intelligent reminders for tools and equipment inspection and scrapping deadlines enable full lifecycle management of tools and equipment, effectively ensuring performance safety.
Automated environmental control
The system leverages IoT technology to monitor the internal environment in real time and intelligently maintain environmental stability, ensuring that the storage conditions meet the requirements for tools and equipment.
3D warehouse safety
Strictly enforce authorization and authentication management for personnel entry, along with video surveillance and intrusion detection, to enhance the safety level of the warehouse.
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.
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.
Substations, power plants, and industrial enterprises store a wide range of safety tools, including insulated gloves, insulated shoes, safety helmets, voltage detectors, and temporary grounding wires. Due to the large number, safety tools are placed in disorder. As a result, a lot of time needs to be spent counting them during inspections. The management practices are outdated . The UT-7710 series intelligent safety tool management system assigns electronic identification to safety tools, enabling online detection and intelligent lifecycle management. The safety tool management device can be used independently or used with other systems to achieve advanced management of safety tool .
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 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.
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.