Using production planning as the source, drive the construction of a comprehensive indicator management system encompassing safety, production, cost, equipment, marketing, and human resources. Additionally, establish a "unified" business system that supports closed-loop management of key indicators, allowing safety, production, cost, equipment, and marketing management to transition into an interconnected lean production and operation management model. The project achieves consistency in management objectives, data source integrity, and statistical calculation methodologies, enhancing business analysis, insight, and management innovation capabilities, effectively supporting enterprises in implementing strategic planning and task execution.
By focusing on assessment and incentives, the operational level is further enhanced. Adhering to the approach of "decomposing task indicators, analyzing production bottlenecks, and implementing key measures", the annual task indicators, key projects, and bottleneck issues are quantitatively decomposed. Labor competitions for ore extraction, hoisting volume, and production continuity projects are planned in advance to fully stimulate the potential of each mining area, truly achieving speed, quality, and efficiency improvements. According to the systematic project planning of each mining area, work is deployed by region, responsibilities are implemented by level, schedules are reversed, operations are charted, regular scheduling is conducted, and strict assessments are carried out to ensure the timely completion of set goals.
Based on advanced technologies such as internet technology and mobile applications, incorporate innovative concepts of lean material management. Start from the source of material control, strengthen material management construction at the production front line, connect the group supply chain system, enhance closed-loop control of the entire material process, and build a smart material management system.
Based on lean safety management innovation principles, top-level planning, and the new Work Safety Law, integrate data governance theory and big data application technologies. Adopt a lean safety management approach of "full participation, accountability implementation + quantified assessment, data-driven management" to foster a culture of "voluntary and autonomous safety management", elevate digital and intelligent safety management, support decision-making, and enable the transition to smart mine safety management.
With the purpose of "simplicity, practicality, and ease of operation" and promoting the fulfillment of responsibilities and integrity among leading cadres and key personnel, firmly grasp the "four keys and six precisions". Namely: manage key personnel, control key matters, oversee key areas, and supervise key moments, achieving "precise policy understanding, precise focus on key points, precise problem identification, precise deviation correction, precise decision-making, and precise political ecosystem diagnosis", deeply integrating supervision business with information technology, and building a standardized, fully functional, efficient, and reliable smart supervision platform. Empower supervision work with a digital supervision model.
Laboratory management encompasses the management and testing of geological drilling samples, underground geological samples, production samples, and water quality samples. Grade is the primary indicator in the indicator system, sourced from the quality inspection center. Establish a production laboratory management function centered on quality inspection and testing to collect, analyze, report, and share laboratory data and information. Build a quality inspection data analysis model to enhance data analysis efficiency. Use QR code technology to facilitate sample data collection, promoting efficient, scientific operation and standardized, refined management.
In the mining production process, fuel consumption accounts for over 5% of the total mining production cost when using oil-receiving equipment such as loaders, haul trucks, and large engineering machinery. Mining enterprises still employ extensive management methods in fuel usage, with issues such as leakage and wastage. The smart refueling control system can effectively improve fuel consumption management, reduce direct costs for enterprises, and enhance economic benefits and production safety.
The smart energy management platform for mines leverages computer technology, network communication technology, big data processing technology, intelligent analysis technology, and multimedia display technology. It seamlessly integrates energy control and management with production scheduling control, using energy flow as the central theme and incorporating primary and auxiliary production processes. Through functional modules such as operation monitoring, comprehensive statistics, indicator analysis, statistical benchmarking, and diagnostic optimization, it assists enterprises in achieving centralized management, periodic statistics, process monitoring, efficiency evaluation, benchmarking assessment, and energy efficiency optimization in energy system operations, thereby promoting high-quality and efficient development.
