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Intelligent open-pit mine system, framework, content and target

来源: | 作者:佚名 | 发布时间 :2023-11-28 | 481 次浏览: | Share:

(5) Intelligent drainage equipment

The soil discharge operation is mainly combined with the electric shovel and truck to smooth and compact the material and expand the soil discharge step after the mining operation. At present, the main problems in the operation of the dumping machine include improper operation of personnel, which leads to the inconsistency of the dumping position and height with the plan, and the poor working environment of the operators [95]. The goal of the first phase is to realize the informationization of the drainage process, realize the automation of part of the operation, reduce the drainage problems caused by on-site personnel relying on experience operation, and realize the efficient operation of the bulldozer. The objective of the second phase is to realize the remote control operation of the soil discharge link, achieve the accurate execution and remote control of the equipment operation, improve the working environment of the driver, and achieve the efficient operation of the bulldozer.

(6) The raw coal surface production system is intelligent

The surface production system of open pit mine undertakes the task of crushing and transporting, which is composed of six sub-systems: primary crushing, secondary crushing, coal transport, coal storage, coal blending and truck loading and transporting. Information construction content: video monitoring of blind area of crushing station, inspection quality assessment of attendance machine, blind area monitoring of stacker and reclaimer, tape machine control system, video monitoring of belt conveyor. The goal of the first phase is to realize the automation and intelligence of the ground production system, the unattended crushing station, the centralized control and robot inspection of the belt conveyor, and the remote control of the stacker and recliner, so as to improve the production efficiency, reduce the labor intensity and repetitive work of the field staff, and realize the efficient operation of the raw coal ground production system.

(7) Intelligent production process system of open pit mine

It takes about 25 to 40 minutes per shift for surface mine self-moving crusher and transfer machine to dock, which takes a long time; When the truck is loaded, the electric shovel lacks guidance information, and the loading is difficult. The goal of the first phase is to realize intelligent and rapid docking of multiple large equipment, improve the efficiency of docking, shorten the docking time, and achieve efficient operation of the production process. The objective of the second phase is to realize automatic identification and positioning of trucks, automatically calculate the best digging position and dumping position, complete the rapid loading task of automated trucks, improve the loading efficiency of electric shovel, reduce the difficulty of personnel operation, and realize the efficient operation of the production process.

(8) Intelligent real-time diagnosis of equipment faults

The environmental conditions of the open pit mine are harsh, and the various structures of the open pit mine equipment are subjected to great impact and vibration, so the mine equipment will often have various failures, and the failure rate is high, and the fault diagnosis and elimination cycle is long, resulting in low work efficiency of equipment and personnel [96]. The goal of the first phase is to realize the fault diagnosis of drilling rig, shovel, crusher, belt conveyor and bulldozer. The second phase aims to achieve efficient diagnosis of equipment faults such as charging vehicles and trucks.

3.4 Planning objectives of intelligent system for open-pit production planning and project management

(1) Phase I planning objectives

Realize the intelligent design of piercing, mining, transportation and discharge, and deduce and analyze the local operation process; The key points of the operation process are refined and quantified [97], the construction standards are standardized [98], the production cost of the team is automatically calculated and the performance is automatically assessed, and the mine construction quality is intelligent controlled [99], so as to improve the operation efficiency, ensure the safety of production and reduce the production cost.

(2) Second phase planning objectives

Realize dynamic simulation of mining process, interactive analysis and optimization of mining design and construction, and finally achieve the purpose of intelligent decision-making [100-101]. On the basis of intelligent equipment, automatic decision-making and construction of each process link can be realized under the optimal production target.

3.5 Planning objectives of intelligent system for integrated open-pit management:

(1) Achieve the goal in the first phase

To realize the wisdom of comprehensive management of open pit mines, fundamentally eliminate the harm of dangerous sources, reduce the cost of reuse of dewatering water, improve the utilization rate of dewatering water, improve the quality of ecological reclamation, reduce the cost of ecological reclamation, and initially realize the value of ecological restoration; To achieve less operation, reduce the safety hazards of the open-pit mine itself, and gradually realize the essential safety of the open-pit mine; It provides support for the comprehensive management of all production decisions in open-pit mines, realizes the fully automated analysis of production efficiency, improves the production efficiency of each link, improves the level of production cost control, the efficiency of the use of production cost information and the efficiency of performance assessment, reduces the production cost of open-pit mines and improves the quality of performance assessment. To realize the integration and integration of production process automation and enterprise production, operation and management information; To realize the flexibility, agility and virtualization of design, production and management; To realize the digitalization, automation, networking and collaboration of scientific research, design, engineering, production, operation and decision-making.

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