Reservoir Rainfall Monitoring Solution

The safety of reservoirs is vital to the lives and property of the people downstream, as well as to the local economic and social stability and development. Establishing an automated monitoring system for reservoir water levels and rainfall, ensuring timely data collection, developing a unified data standards framework, implementing a dynamic supervision system to standardize operational management, and setting up data-sharing and exchange mechanisms will enhance information utilization and significantly improve emergency management capabilities.

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Intelligent Comprehensive Safety Monitoring Solution for Water Resources

The reservoir safety monitoring system comprises intelligent reservoir sensing, IoT-based information and communication, and a cloud-based smart monitoring and management platform. For small reservoirs, the online monitoring function enables automatic collection, analysis, and reporting of operational data such as reservoir water level, rainfall, video feeds, seepage flow, and seepage pressure. The self-organizing network and IoT system provide comprehensive multi-parameter data acquisition and communication capabilities, while the cloud platform of the reservoir safety monitoring and early-warning system offers intelligent analysis and alerting for monitoring data. Together, these components deliver end-to-end operational support, including remote perception of reservoir operating conditions, analysis of operational trends, safety management, and online management of inspection and patrol activities. The system is capable of supporting both individual reservoir management and broader regional management at the provincial, city, or county level.

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Smart Agriculture Cultivation Solutions

By leveraging a variety of sensors and wireless communication devices, farm data can be transmitted in real time and automatically to the screens of agricultural managers, thereby establishing an integrated, IoT-based connection between farmers and their fields. Furthermore, the application of RFID and other tagging technologies enables the development of modern agricultural logistics systems for warehousing and transportation, facilitating effective monitoring and assurance of food safety. At the same time, the collection and networking of farm data support the monitoring and early warning of natural disasters, streamline regional management, and promote extensive information sharing and agricultural automation.

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Smart Water Solutions

1. The water quality at source areas is cause for concern; in some regions, water supply capacity is inadequate, leakage and losses are severe, and non-compliant water quality is a prominent issue, making it imperative to develop smart water management systems and to improve water supply, water use, and water allocation infrastructure. 2. In certain Chinese cities, persistent heavy rainfall or abnormal weather conditions during the rainy season can trigger urban flooding, jeopardizing people’s lives and property. Going forward, it will be essential to construct hydrodynamic engineering projects and intelligent water management systems to establish a sustainable drainage environment and mitigate the risk of urban flooding. 3. With the continuous development of China’s socialist market economy, demand for various resources and energy has increased accordingly. The exploitation of water resources has further exacerbated water pollution, underscoring the urgent need to implement water environment remediation initiatives such as end-of-pipe treatment of river and stream pollutants, shoreline enhancement, and ecological restoration. 4. The level of informationization in traditional water management remains low; progress has been limited to conventional business process management. Although basic databases have been established, much of the data still requires manual processing, with no intelligent IT tools available for large-scale data integration and in-depth analysis. There is an urgent need to leverage new technologies to enhance the efficiency and effectiveness of water management, enabling comprehensive sensing, automated control, and data-driven decision-making.

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