Accelerating the Industrial Internet of Things
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Huawei Case Studies Smart Liaoyuan: The First Smart City in Northeast China

Smart Liaoyuan: The First Smart City in Northeast China

Smart Liaoyuan: The First Smart City in Northeast China
Smart City
Environmental Health & Safety
• Liaoyuan's demands for building a high-quality smart city, covering multiple sectors, including city management, emergency command, public security, and health care.
• Unable to connect different functional sectors for lack of a unified information system; without IoT, city management is restricted to manual intervention.
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• Deploy a comprehensive analysis and command platform to interconnect applications and eradicate information silos
• Deploy application systems, including Smart City management platform, Digital City management platform, Emergency Command platform, Smart Hospital, and Safe City
• Dynamically allocate resources based on IoT and cloud computing
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Emerging (technology has been on the market for > 2 years)
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Unified monitoring and optimized camera distribution: enables collaboration and linkage of multiple peripheral units (PUs) and multi-platforms
Able to deploy strategically by connecting the system with the public security system
Improved work efficiency: extensive use of intelligent analysis and 3D module display in urban management increases work efficiency by 40%
Hardware that enables dual directional communication for data collection and control message delivery. Examples include cellular, Ethernet, and Wi-Fi.
Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT.
Technologies that enable legacy devices and other systems to connect to the IoT. They integrate technologies and protocols for networking.
Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices.
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
IoT hardware consultancies provide services such as solution specification, product design, connectivity setup, and partner identification.
IoT software consultancies support the development of data analytics, visualization solutions, and platforms, as well as integration into embedded systems.
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