In accordance with the monitoring requirements specified in Section 4.3 of the latest national standard Technical Specification for Safety Monitoring of High and Steep Slopes in Metal and Non-Metal Open-Pit Mines (AQ 2063-2018), the Mine Slope Comprehensive Online Monitoring System conducts monitoring on the external displacement of stope slopes, internal displacement of stope slopes, mining-induced stress, seepage pressure, groundwater level, and rainfall.
The Comprehensive Online Monitoring System for Mine Slopes promptly captures characteristic information about changes in slope properties. It transmits monitoring data to the monitoring center in a timely manner via wireless means, and combines this data with surface monitoring information—including rainfall, displacement, settlement, internal stress of rock formations, and stress of support structures. Processed by dedicated computer data analysis software, the system judges the overall stability of slopes (or sliding slopes), quickly issues early warnings and forecasts for disasters such as slope collapses and landslides, monitors the occurrence of disasters more accurately and effectively, and provides information references for ensuring geological safety.
The comprehensive online monitoring solution for mine slopes consists of an inclination transmitter, a rain gauge, a water level gauge, a water pressure gauge, a settlement gauge, and a geological disaster monitoring platform. It can be adapted to local conditions and integrates a variety of monitoring devices for deep displacement monitoring, sliding mass groundwater seepage pressure monitoring, displacement monitoring of tensile cracks at the trailing edge of landslides, rainfall monitoring, surface water level monitoring, pressure monitoring, and surface water infiltration monitoring. These devices provide comprehensive and accurate data support for relevant departments to more thoroughly analyze the causes of landslides, issue early warnings in advance, or design engineering treatment measures.
The comprehensive online monitoring of mine slopes can be divided into four layers: the Perception Layer, the Network Layer, the Platform Layer, and the Application Layer.
It monitors the status of sensors for slope monitoring parameters in real time, including front-end perception devices such as groundwater level sensors, soil moisture content sensors, soil pressure sensors, surface displacement monitors, video surveillance cameras, and rainfall gauges.
It supports data communication with bidirectional (upward and downward) transmission capabilities, and is compatible with multiple communication methods including wireless cellular networks, SMS, Beidou, PSTN, ultra-short wave, and ZigBee. The sensing device M21F2 can transmit data upward to the monitoring and control center platform via the communication channel specified by the monitoring and early warning platform.
It integrates equipment and system functions across all layers. Through signal connections, it issues commands from the platform to front-end sensors, and realizes the collection, processing, storage, and analysis of uploaded monitoring data, while achieving real-time linkage with major front-end monitoring devices.
It enables information release channels and displays information data and early warning information in real time.
24/7 Real-Time Monitoring: By conducting real-time online monitoring of slope surface settlement, deep settlement, external displacement, stress and strain, it keeps track of the structural changes of the slope in real time.
Report Push: Monitoring results are displayed and released in real time, and monitoring reports are pushed to administrative users on a regular basis.
Establish a three-level alarm mechanism. When abnormal detection data is found, users will be notified immediately via text messages, faxes, broadcasts, and other means to realize the comprehensive early warning function.
Corresponding handling methods are directly extracted from the expert system, and measures such as personnel intervention and mine blockage are taken in a timely manner to eliminate potential safety hazards in the bud.
By analyzing the slope monitoring data and conducting safety assessments, the trend analysis of structural stability can be realized.
The cloud server is deployed in the cloud and adopts the B (Browser)/S (Server) mode. Users can either purchase Alibaba Cloud or Tencent Cloud services, or build their own servers. The hardware requirements depend on the number of power distribution cabinets.
The cloud platform of the intelligent power distribution cabinet temperature measurement and monitoring system is developed by Chenmai and has complete independent intellectual property rights. Its main function is to control the automatic operation of each module of the system, as well as receive, display, save, query, and print alarm information.
The main functions of the system include: mine slope monitoring and management function, mine slope monitoring map information, mine slope monitoring sensors, mine slope system equipment information, mine slope video image information, mine slope early warning information query, mine slope integrated deep displacement monitoring information query, information release setting, and open platform interface.
The application of the Mine Slope Comprehensive Online Monitoring System solves many problems and can be used for real-time online monitoring of various quantities that need to be monitored on slopes.
Data is transmitted to the local server for permanent local storage, allowing real-time viewing of monitoring data and on-demand access to historical data at any time. Meanwhile, data is uploaded to the cloud for permanent backup. Through the learning algorithms and models embedded in the cloud, the system analyzes various slope monitoring data, comprehensively evaluates the health status of slopes, and effectively provides early warnings, prevents, and curbs the occurrence of major accidents.
This buys time for users to organize emergency rescue and evacuate people in affected areas, thereby reducing casualties and property losses caused by accidents.
