As an important part of water conservancy projects, medium and large-scale sluices undertake multiple functions such as water level regulation, water flow control, flood prevention and drainage. They play a significant role in flood prevention and mitigation, water resource allocation, and ecological environment improvement.
However, due to historical reasons, many sluices have problems including low construction standards, poor quality, and incomplete supporting facilities. In addition, affected by the concept of "emphasizing construction over management", most sluices lack effective management, maintenance and upkeep after completion, resulting in numerous potential safety hazards and prominent risks to safe operation.
To ensure the safe and stable operation of sluices and promptly identify and address potential safety hazards, the development and application of sluice safety monitoring systems have emerged. The system realizes real-time collection and transmission of sluice operation data by deploying a series of environmental quantity monitoring sensors around the sluice and various safety monitoring sensors inside the sluice body.
The data collection content includes key information such as water level, flow rate, and gate opening. These data are collected by sensors and transmitted to the digital twin model via the network, enabling staff to grasp the real-time operation status of the sluice, detect abnormal conditions promptly, and take corresponding measures.
With the advancement of science and technology and the rapid development of technologies such as the Internet of Things (IoT), big data, and satellite remote sensing, the functions and performance of sluice safety monitoring systems have been significantly improved. Modern sluice safety monitoring systems can not only realize functions such as real-time monitoring, data analysis, and early warning and alarm, but also achieve intuitive display of data including sluice operation status, water flow conditions, and water level changes through 3D visualization technology, providing more scientific and accurate basis for management decisions.
The safety monitoring system for medium and large-scale sluices is an integrated management system that combines functions such as sensor technology, data collection and processing, and remote monitoring and early warning. This system is designed to monitor the operating status of sluices in real time, detect potential safety hazards promptly, and ensure the safe and stable operation of sluices.
█ Sensor Network: Deployed at key parts of the sluice, such as gate leaves, hoists, and hinge supports, to monitor real-time parameters of the sluice including deformation, stress, and vibration.
█ Data Acquisition and Processing System: Responsible for collecting data transmitted by the sensor network, conducting preprocessing, storage, and analysis, and extracting key information for subsequent safety assessment.
█ Remote Monitoring Platform: Provides an intuitive user interface to display the sluice’s real-time monitoring data, historical data, and safety assessment results, supporting remote operation and early warning functions.
█ Early Warning and Alarm System: Conducts real-time analysis of real-time monitoring data based on preset safety thresholds. When data anomalies occur, it triggers early warnings or alarms and promptly notifies relevant personnel to take measures.
█ Real-Time Monitoring: The system can monitor various parameters of the sluice in real time, such as water level, flow rate, gate opening, stress, displacement, seepage, and vibration. Through real-time monitoring, staff can timely understand the sluice’s operating status and provide a basis for the sluice’s dispatching and operation.
█ Data Analysis: The system can conduct in-depth analysis of the collected data and extract useful information. By analyzing the data, it is possible to understand the sluice’s structural health status, operating status, and potential safety hazards, providing a scientific basis for the sluice’s safety assessment and maintenance.
█ Early Warning and Alarm: When abnormal conditions are detected, the system can promptly send out early warning or alarm signals to remind staff to take corresponding measures for handling, so as to avoid the occurrence or escalation of accidents.
█ Remote Monitoring: The system supports the remote monitoring function. Staff can remotely access the monitoring center via the network to check the operating status and data of the sluice in real time. This helps improve work efficiency and reduce labor costs.
█ 3D Visualization: By constructing a 3D model of the sluice, real-time collection, analysis, and visualization of data such as the sluice's operating status, water flow conditions, and water level changes are realized. This allows managers to understand the sluice's operating status more intuitively and improve management efficiency.
█ Historical Data Query: The system can record and store historical data, facilitating staff to query and compare data at any time. It helps understand the sluice's operating status and change trends over a past period, providing references for future operation and maintenance.
█ Account Management and Data Security: The system is equipped with a separate account authorization management function, granting different levels of management permissions based on the responsibilities of staff. Data transmission adopts an encryption mechanism to ensure data security.
▶ High-Precision Monitoring: Advanced sensor technology and data processing algorithms are adopted to ensure the accuracy and reliability of monitoring data.
▶ Real-Time Early Warning: With real-time monitoring and early warning functions, potential safety hazards can be detected in a timely manner, improving the safety performance of the sluice.
▶ Remote Management: It supports remote monitoring and control, reducing management costs and improving management efficiency.
▶ Scalability: The system has good scalability, and monitoring points and functions can be added according to actual needs.
The significance of the safety monitoring system for medium and large-scale sluices lies in ensuring the safe operation of sluices, optimizing water resource allocation, enhancing flood prevention and mitigation capabilities, and promoting the modernization of water conservancy project management. The application of this system is of great significance for improving the safety and efficiency of water conservancy projects.
By real-time monitoring the structural status, hydrological data and environmental changes of sluices, potential risks and problems can be detected in a timely manner, so that corresponding preventive measures can be taken to ensure the stability and durability of sluices. In addition, through data analysis and model prediction, water resource scheduling can be carried out more scientifically, water resources can be allocated reasonably, waste can be reduced, and the utilization efficiency of water resources can be improved.
In terms of flood prevention, the monitoring system can provide accurate information such as water level and flow rate, which provides a scientific basis for flood prevention decisions and effectively reduces losses caused by flood disasters. Ultimately, this system will promote the development of water conservancy project management towards intelligence and informatization, and improve the management level of the entire water conservancy industry and its ability to respond to emergencies.
The safety monitoring system for medium and large-scale sluices is suitable for the safety monitoring and management of various types of medium and large-scale sluices, such as water conservancy hubs, urban flood prevention and drainage projects, and farmland irrigation systems. Through this system, comprehensive monitoring and management of sluices can be realized, ensuring the safe and stable operation of sluices and providing strong support for the sustainable development of water conservancy projects.
