The intelligent operation and maintenance and remote monitoring system launched by our company is based on digital twin technology to fully perceive the operation status of equipment, drive operation and maintenance decisions by data and models, and integrate maintenance methods such as preventive maintenance, condition maintenance, and predictive maintenance.
Phase 1 implementation goals
Relying on the Cloud Chain Code and MRO Mini Program, users can easily start implementing Facility Management digital transformation:
1. Realize the digital aggregation and management of basic information on electrical equipment assets.
2. Break down data silos and enhance the transparency and ease of use of electrical equipment asset data.
3. Based on electrical equipment asset data, establish connections with manufacturers and service providers of each type of equipment, laying the foundation for the realization of digitally driven intelligent operation and maintenance.
4. Implement digitally driven parts procurement functions to provide users with parts supply and parts customization services.
5. Implement the entry and update functions of operation and maintenance information such as maintenance and repair.
Implement visual management of electrical equipment asset information based on usage scenarios.
Phase 2 implementation objectives
Relying on the equipment operation site housekeeper to reflect the equipment operation status more timely, accurately and sensitively, and realize the intelligent management requirements of "Data Transmission Service, Business Collaboration, Management Centralization, and Resource Sharing":
1. Implement electrical equipment to monitor, analyze, store, and present data on critical operating conditions from sensors and smart electronic devices
2. Unified platform, compatible with various online monitoring data from other suppliers
3. Expand edge computing capabilities on gateway devices to enable fast analysis and real-time decision-making on the device side, reducing the requirements for cloud data centers and bandwidth
4. Realize all-round perception and data collection of equipment operating status at the end point; realize field-level fast decision-making in the edge data center; complete long-cycle, non-real-time data processing in the cloud, so as to realize cloud-side collaboration.
Phase 3 implementation objectives
Relying on Qijimi SaaS services, it provides comprehensive capability support of "management cloud platform + professional software + intelligent hardware + offline services" for the operation and maintenance, health and energy efficiency management of users' electrical equipment.
1. Implement intelligent operation and maintenance centered on predictive maintenance.
2. Implement real-time equipment health management and risk prediction.
3. Implement data-driven equipment lifecycle management and provide relevant solutions and offline services.
Help companies build energy efficiency and carbon management systems to "do more with less" and "set emissions reduction targets and take action to achieve them."
