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JBMS
Building Management Platform
3 phases and 5 modules to assist property management model transformation
1
Maintenance & Operation
Digitalization of processes
Strengthen the workflow required for daily maintenance
The property management module focuses on improving management efficiency, tracking supplier attendance, automatically dispatching tasks based on equipment alarms and user repair reports, recording asset abnormality history for easy reference in maintenance operations, inventory control to help understand resource status, and an APP with an enhanced mobile operation interface.
Ultimately, this series of processes promotes the digital transformation goals of building property management, making property management smarter and more efficient.
Performance: Farglory Dome
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2
NA
Enhance user experience
Solve daily service needs
The tenant service module focuses on solving the daily needs of users on the life side, ensuring that every problem of the user can be solved quickly and that the key information is not disconnected. Through these functions, we not only improve user satisfaction, but also enhance the overall service efficiency.
Performance: Farglory Dome
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3
Air conditioning energy saving control
ESG sustainable development planning
Our air conditioning energy-saving solution integrates the existing BMS air conditioning IO points in the case, combines big data analysis and control modeling technology to achieve intelligent management. Through AI autonomous learning (deep learning), the model can continuously optimize the control logic autonomously and introduce the verification process to ensure the effect. Ultimately, all of this effectively reduces energy consumption while maintaining comfort, creating a more sustainable environment for you.
Performance: Google TPKD
Real-time data monitoring & big data training
By collecting recent HVAC BA big data on site, modeling the control area, and designing an autonomous machine learning architecture, the comfort AI control module was developed and trained, and was officially introduced into building operations after the effectiveness was verified.
AI Autonomous Control & Dashboard Tracking
This is an advanced AI model that continuously learns new data to improve its performance. It has the ability to evaluate and issue controls to ensure the stability of the system. By autonomously optimizing the control method, the model can continue to improve and meet changing needs.
Achieve energy saving results
Effectively scheduling the start-up time, properly adjusting the fan speed, and setting the optimal temperature are key measures to improve energy saving. These strategies can effectively save energy by 10% to 16%.
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