Below are a selection of representative projects delivered by EMCloud, spanning digital government, education & research, smart manufacturing & supply chain, and smart senior care. Project descriptions are summarized and desensitized; specific technical details are subject to the actual contracts and delivery documents.
Built the fire brigade's "one-network governance" joint-operations platform, consolidating fragmented fire-related data silos and applying rich big-data analytics models to sense and predict fire incidents, identify and eliminate hazards, and prevent problems before they occur.
Provided grid-based data management for several Shanghai sub-districts, building an intelligent monitoring system under the overall framework of "eight monitoring pillars, two situational-awareness layers and one data center," improving the finesse of urban governance and the city's image.
Effectively consolidated data from existing business systems, applied AI analysis to new incidents with disposal plans, and presented each brigade's daily composite information on a large-screen view — improving incident response and decision efficiency.
Advanced local-tech adaptation across the underlying architecture, data-interface encryption and database encryption to strengthen autonomy, controllability, data security and compliance.
Provided a series of information-system buildouts for the University of Sydney's China operations, adapted to the business needs of cross-border education and research collaboration.
Built a "big-data-driven" full-lifecycle student-management system centered on student administration, connecting business systems and consolidating data resources with a mobile-first focus — about 80% of daily operations are completed on mobile.
Supported the construction of the Shanghai Education Commission's financial budget system, improving the standardization and efficiency of education-fund management.
Aimed at promoting biomedical data sharing, fusing cloud computing, big data and multi-omics bioinformatics analysis to provide important support for innovation in the field of biotechnology.
Real-time aggregation of current, voltage, temperature and weight telemetry from each kitchen-waste unit to the cloud, enabling intelligent feeding and processing optimization; linked with pretreatment and water-treatment systems for energy savings and emissions reduction, with real-time alerts on anomalous values.
Neuron deep-learning classifies and recognizes targets; combined with stereo-vision and radar signals for precise positioning, the arm's forward/inverse kinematics automatically sort. Unrecognized objects are uploaded to the cloud in real time for continuous learning via the neuron algorithm.
Helped distributors achieve comprehensive control of downstream retailers from warehousing procurement and operations management to logistics, rolling out the three modules of procurement supply, operations management and logistics management.
Through a central kitchen's unified processing and unified delivery, store dish quality stays consistent. The system is divided into three business modules: shipping management, receiving management and proof-of-delivery management.
Using IoT, smart terminals and a central system improve the fine-grained management of nursing homes and reduce operational risk. It covers the elder-health management system (smart bands, smart bed straps and other terminals linked with nurses and the facility), the nursing-home business management system (reception, care, archives, fire management), the children's remote-care system (visible service, top-up & payment) and the smart-home management system (temperature & humidity, air, lighting and smart home).
While safeguarding the safety and comfort of the elderly, it attends to emotional needs and humanistic care, and improves institutional management efficiency and service quality through end-to-end informatized operations.
Map the business need, current state and constraints; define goals and boundaries.
Provide a deliverable reference architecture, product mix and capacity planning.
Small, fast iterations on high-frequency scenarios; validate value before scaling.
Monitoring, optimization and managed O&M to ensure long-term stability.
Data source: EMCloud Computing Center introductory materials (EMCloud Computing Center DMF.pptx). To cite specific case details, please contact EMCloud for authorized complete materials.
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