Six Pacific Place, Hong Kong

Neuron Team

31 10 月, 2024

Client : Swire Properties

Develop Neuron Smart Building Platform for a Grade A office

Six Pacific Place is a high-class office building located at 50 Queen’s Road East, Hong Kong with 24 office floors. It has been built to the highest SMART building and sustainability standards and has achieved the Platinum level on Wiredscore and Smartscore which represents that the highest level on digital connectivity and smart infrastructure are provided to tenant.

  • Building Insight Analytic Dashboards
  • Chiller Plat Optimization
  • Energy Management
  • Neuron IoT Hub
  • Fault Diagnosis and Detection
  • Preventive Maintenance
  • BIM + AM Integration
  • 3D Digital Twin

Neuron team has been appointed to supply and implement the digital platform to enable BIM Asset Management (AM), big data analysis and, Artificial Intelligence (AI) model development for energy saving and predictive maintenance.

Under this project, Neuron Platform provides an open API to retrieve data from various building systems and IoT sensors, processes the data in a universal data platform and visualizes data in different application modules so as to deliver a single, centralized management platform to the Facility Management with data-driven advisory.

案例研究

我們開闢新途徑,實現有影響力的改進

Six Pacific Place, Hong Kong

Neuron BIM Asset Management and AI algorithms enabled energy savings and predictive maintenance, providing Facility Management with data-driven insights for improved efficiency.

Drainage Services Department

Neuron delivers a universal data platform, enabling AI/ML optimization for chiller plants and rule-based fault diagnosis, significantly enhancing property management efficiency and operational experience.

Regional Digitisation Control Centre

Electrical & Mechanical Services Department unlocks efficiency for over 400 government buildings with Neuron’s City-Wide GIS Monitoring and performance benchmarking.

受保護的內容: Neuron Academy – How to create a project on Neuron SaaS Platform

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