Through the integration of Internet of things, big data, artificial intelligence and other cutting-edge technologies, an intelligent mine life cycle management system is constructed to realize the digital, intelligent and green transformation of mine production and operation, maximize the mining efficiency, ensure safe production, optimize resource utilization, reduce operating costs, reduce environmental impact, and create a full range of economic, social and environmental comprehensive value for mining companies.
The traditional mine management mode relies on manual experience and manual record, which is difficult to grasp the production situation in real time, resulting in low resource utilization. The phenomenon of data silos among departments and systems is serious, and the flow of information is not smooth, which affects the overall coordination; Equipment status and usage cannot be monitored in real time, resulting in idle or overuse of equipment, further reducing production efficiency.
The mine working environment is complex, changeable and harsh, and there are many potential safety hazards, which are difficult to detect and prevent in time. Safety management lags behind, lack of effective safety monitoring and early warning system, unable to find and deal with safety problems in time ; the emergency plan is not perfect, the emergency handling capacity is insufficient, the emergency response can not be quickly responded to, and the security risk is increased.
The cost of mine operation is high, the cost of energy, equipment and labor is high, and there is no effective cost control method. The cost data is scattered, and it is difficult to carry out comprehensive cost analysis and management, resulting in poor cost control ; the low efficiency of resource utilization, energy waste and material waste are common, which further increases the production cost.
Each business system runs independently, and the data cannot be exchanged, which leads to difficulties in information flow and data integration. A large amount of data has not been effectively utilized, and it is difficult to play the value and role of data ; lack of comprehensive data analysis and decision support tools, lack of decision-making basis, affect the management effect and efficiency.
The government and the public have higher and higher requirements for mine environmental protection, and enterprises are facing greater pressure on environmental protection. It is difficult to effectively control and control the environmental pollution in the process of mine production. The investment in environmental protection technology and facilities is insufficient, and the level of environmental protection management needs to be improved, which is difficult to meet the strict environmental protection requirements.
The quality control measures of mineral products are not perfect, and the quality problems occur frequently, which affects the reputation and market competitiveness of enterprises. The quality detection means and equipment are backward, and the detection data is not accurate and timely, so it is difficult to ensure the product quality. Due to the lack of effective quality improvement mechanism, quality problems are difficult to find and solve in time.
Poor energy management, widespread waste of energy, increase production costs; Energy consumption data is difficult to monitor and analyze in real time, which affects the effect of energy management. Lack of systematic energy-saving measures and optimization programs, low energy efficiency, further increasing operating costs.
The mobility of mine operators is large, the management is difficult, and the safety training and management are not in place ; the working environment is harsh, and the safety and health problems of employees are prominent, which affects the work efficiency and stability ; it is difficult to grasp the location and status of personnel in real time, which affects emergency response and safety management, and increases management complexity and risk.
Through advanced sensors and video surveillance systems, the comprehensive real-time monitoring of the mine production process is realized to ensure the transparency and controllability of the production process.
The system automatically optimizes production scheduling, improves resource utilization efficiency, supports dynamic adjustment of production plans, and ensures the efficiency of the production process.
Using big data analysis and machine learning algorithms to achieve predictive maintenance of equipment, arrange maintenance plans in advance, and avoid sudden equipment failures.
The safety early warning system detects the safety status of the mining area in real time, automatically triggers the early warning, provides an intelligent emergency response plan, and ensures the safety of personnel.
Integrate and analyze production, equipment, safety and other data, provide comprehensive data support, and help managers make scientific decisions.
Real-time monitoring of environmental parameters in the mining area, providing intelligent solutions for environmental protection and governance to ensure that the production process meets environmental requirements
Real-time monitoring and analysis of mine production costs, provide detailed cost analysis reports to help enterprises carry out refined cost control and management.
Integrate the data and information of each business system of the mine, provide a unified information display platform, realize data sharing and collaboration, and improve the efficiency of information flow.
Optimize the production process and resource allocation, significantly improve operational efficiency.
Identify and deal with potential risks in a timely manner to reduce security incidents.
Reduce equipment failure rate and energy consumption to achieve refined cost control.
Ensure that the production process meets the requirements of environmental regulations and reduces environmental pollution.
Provide comprehensive and accurate data support to help management make scientific decisions.
Improve the efficiency of personnel management and ensure the safety and health of employees.
Through the deployment of real-time monitoring, intelligent scheduling, equipment management, safety early warning and data analysis systems, the digital mine solution has significantly improved production efficiency, reduced operating costs, enhanced safety and security, and ensured environmental compliance. After the implementation, the production efficiency is increased by 20 %, the operation cost is reduced by 15 %, the safety management is obviously improved, and the overall management level and market competitiveness are effectively improved.
National High-tech Enterprise
Sichuan High tech Enterprise
"Galileo Platform"Rapid Deployment
Implementation Team one-on-one
National Industrial Internet
Alliance Working Group Core unit
200+Intellectual Property
10Year IoT Technology Accumulation
200+Industrial Cooperation Cases
3000K Access Equipment