Intelligent mine production scheduling system

Third, system functions

(1) Real-time monitoring and scheduling

By applying cutting-edge technologies such as GPS/ Beidou positioning technology, 4G wireless communication network and Google Map to the dynamic real-time tracking of open-pit operating equipment, managers can grasp the working location of vehicles and the distribution of vehicles in mining areas in real time. The system can give real-time warning to the working area and speed state of the vehicle, which greatly improves the management level of mining production management.

Based on the optimal scheduling of production vehicles in open pit mines, and using relevant theories such as mining system engineering and queuing theory, the new generation of high-tech technology such as Internet of Things technology and open pit truck shovel scheduling are organically combined to carry out dynamic traffic flow planning for open pit vehicle transportation, and carry out real-time scientific scheduling for open pit truck and excavator, avoiding the phenomenon of vehicles running around randomly and queuing for a long time. By changing the traditional scheduling mode, the operation efficiency of the equipment can be significantly improved by 10%-15%.

(2) Automatic measurement statistics

By combining advanced remote RFID radio frequency identification technology with high-precision positioning equipment and combining automatic identification with vehicle loading track, an automatic measurement algorithm is proposed. Without manual intervention, automatic, fast and accurate measurement of the amount of ore and rock transported by open-pit vehicles is realized, and the measurement error relying on historical track alone is eliminated, and the post of the meter is abolished. The disadvantages of traditional manual measurement of ore and rock transportation are avoided, and the efficiency of open-pit vehicle transportation is greatly improved.

(3) Intelligent identification of loading image

Image acquisition technology is used to collect the loading situation of vehicles in real time, and AI image intelligent recognition algorithm is used to dynamically analyze the full load situation of vehicles' ore or slag, and the load rate is fed back to dispatching managers in real time, and intelligent analysis of vehicle load rate is carried out regularly, providing decision-making basis for optimizing vehicle transportation and achieving fine management of vehicle transportation.

(4) Intelligent analysis of equipment health

Using vehicle data acquisition interface and GPS positioning and tracking technology, real-time acquisition of vehicle running water temperature, fuel consumption, engine running time, battery voltage and other key parameters, the use of operating equipment fault diagnosis technology for timely intelligent analysis and reminder of abnormal situations.

(5) Production vehicles are driverless

The core functions of the underground electric locomotive unmanned operation, automatic ore drawing, track obstacle identification, anti-collision warning and other unmanned systems are realized. It reduces the number of underground operators, improves the working environment of front-line workers, increases the operation time of equipment, improves the level of mine management, and realizes the essential safety.

(6) Vehicle intelligent scheduling analysis

Based on the optimal scheduling of production vehicles in open pit mines, and using relevant theories such as mining system engineering and queuing theory, the new generation of high-tech technology such as Internet of Things technology and open pit truck shovel scheduling are organically combined to carry out dynamic traffic flow planning for open pit vehicle transportation, and carry out real-time scientific scheduling for open pit truck and excavator, avoiding the phenomenon of vehicles running around randomly and queuing for a long time. By changing the traditional scheduling mode, the operation efficiency of the equipment can be significantly improved by 10%-15%.

(7) Intelligent analysis of mining big data

Through the establishment of a central database and other means, the smart mine management resource sharing function has been strengthened, the data update has been timely, centralized, and efficient, and the mining big data intelligent analysis system has been formed to achieve data-based decision-making and information management.

(1) Vehicle running state analysis: The vehicle conducts real-time intelligent analysis through the number of fixed points, parking waiting time, driving speed, shovel card reading, spatial positioning, etc., to obtain the running state;

(2) Analysis of equipment maintenance data: make a reasonable maintenance queue sequence according to the repair categories and times of excavators and trucks, and guide the maintenance department to store spare parts.