RFID smart coal transportation

The carbon industry provides more than 60% of the basic energy security for my country's economic and social development. It is a pillar industry of the national industry. It has the characteristics of complex technological processes, high risk of failure, intensive capital equipment, and changeable production conditions, and faces production risks. Industry pain points such as high environmental pollution, high environmental pollution, and difficulty in equipment management require an urgent need to accelerate the pace of digital transformation based on industrial Internet platforms and comprehensively improve the digital level of production mining, comprehensive management, sales, transportation, and ecological protection. The development of the coal industry Internet has broad prospects and comes at the right time. Huawei Group, Yubei Coal Industry, Mengcao Group and other companies take safety production and unmanned production as the entry point, actively carry out exploration of industrial Internet solutions, and promote the coal industry to focus on unmanned production, integrated management, networked transportation, and environmental protection. Digitalization and other directions accelerate digital transformation. Based on this, we conducted a special study on the industrial Internet platform solutions for the coal industry, and deeply analyzed the digital transformation trends, platform application scenarios and business implementation solutions in the coal industry. It also has certain reference significance for the discussion of digital transformation paths in other mining industries.

1. Analysis of digital transformation trends in the coal industry

(1) Excavation and mining: Transformation from man-machine use to unmanned production

The coal industry has long been faced with emergencies such as gas accumulation, mine water gushing, and geological disasters, posing greater production risks. With the innovation of mining technology, especially the application of new generation information technology, the use of intelligent equipment such as underground robots and intelligent conveyors has significantly reduced the need for manpower. Technologies such as machine vision and deep learning have improved equipment execution rate and accuracy, making Unmanned production, fewer patrols, and remote operations are possible, which will help coal companies reduce labor costs and increase operating profits.

(2) Mine management: transformation from manual to virtual integration

Coal mine management covers complex processes such as coal mining, excavation, transportation, lifting, drainage, ventilation, etc. It needs to solve comprehensive coordination problems of a large number of systems such as mining machines, mining trucks, and miners. The management requirements are high, wide-ranging, and difficult. At present, the level of informatization and intelligence of some coal enterprises is still low, and some processes are still in the era of paper documents. Creating a virtual mine through digital twins, virtual reality and other technologies will intuitively display the mine's terrain environment, surface features, underground mine tunnels, etc., reStore the complex environment and production status of the coal mine, and provide opportunities for production process optimization, remote system management, and emergency rescue. Provide effective support for command, etc.

(3) Coal transportation: Transformation from passive queuing to smart transportation

On the one hand, traditional coal transportation and logistics costs are high. Compared with the average transportation cost in the express e-commerce field of 0.15 yuan/ton-kilometer, the transportation cost in the coal industry is as high as 0.3 yuan/ton-kilometer. On the other hand, some coal logistics parks lack station management and the vehicles are chaotic and disorderly. By integrating NB-IoT, RFID, GPS, intelligent identification and other technologies, vehicles are equipped with intelligent modules to dynamically monitor mine car transportation, queuing, etc., which is conducive to improving the intelligence of queuing management and control, diversion dispatching, vehicle weighing, loading and unloading. , The level of automation can effectively reduce the occurrence of incidents such as stealing coal for coal, shoddy goods, and fleet congestion, saving transportation costs and improving transportation efficiency.

(4) Ecological Restoration: Transformation from Macro-Design to Data-driven

Coal factories are generally located in locations with arid climate, low precipitation, and fragile ecological environment. The problems of environmental pollution and ecological damage caused by coal mining have become increasingly prominent. Ecological restoration can not only rebuild degraded ecosystems, but also has broad room for industrialization. Some studies believe that ecological restoration will become one of the world's top ten industries on par with the tourism industry in the future. Through the comprehensive use of new generation information technologies such as big data and artificial intelligence, it is conducive to sorting out and summarizing ecological restoration experience, dynamically adjusting restoration plans, and transforming from rough restoration to data-driven refined and scientific ecological restoration.

2. Typical application scenarios and practices of industrial Internet platforms in the coal industry

(1) Intelligent safe production

Relying on the industrial Internet platform to dynamically collect edge-side data, combined with equipment such as underground robots and intelligent transmission machines, machine vision, deep learning and other technologies are used to achieve unmanned production or production with few people, and effectively improve the safety of coal production capabilities. The first is intelligent independent production. Enterprises can rely on the industrial Internet platform to realize automatic identification, independent judgment and automatic operation of coal shearers, conveyor belts, coal chemical machines and other equipment through "edge data + cloud analysis". The second is fault-assisted diagnosis. Combined with machine vision technology, automatic inspections of fault-prone equipment such as belts, coal bunkers, and motors are carried out to help maintenance personnel adjust the equipment status in a timely manner. The third is risk warning management. Real-time collection of data such as air composition and equipment vibration, combined with model analysis such as gas concentration and equipment life, enables early warning of coal mine accident risks and improves accident and disaster prevention and control capabilities.

For example, Huawei relies on Huawei Cloud to build a "coal mine brain" and uses a "cloud + edge + terminal" integrated approach to build a "full perception-full link-full intelligence" smart coal mine. The real-time risk identification rate reaches 98%, and the effective working hours of the coal mine are Increased by 10%, equipment operation and maintenance costs dropped by 65%.

(2) Comprehensive mine management

Build a digital mine through the industrial Internet combined with AR/VR, virtual simulation, etc., and provide auxiliary decision-making and support for the use, maintenance, repair, and upgrade of excavation equipment, transportation equipment, and energy equipment on the basis of mapping the physical mine in the digital twin space. Operational support. First, there are few people on duty. Based on the industrial Internet, online supervision services are provided around coal pile management, personnel inspections and other scenarios to intervene and correct problems in a timely manner, thereby improving the level of coal mine management. The second is integrated control. Relying on the industrial Internet platform to integrate work surface video surveillance, remote centralized control, etc., break data islands, enhance the level of information sharing, and improve the efficiency of management decision-making. The third is to assist decision-making. Combined with VR/AR, etc., emergency simulation experience and special work training are conducted, an emergency rescue plan Library is established based on 3D mine simulation, and rescue plans are automatically generated according to specific situations.

For example, Yubei Coal Mining has built a smart mining system to make intelligent responses and rapid decisions to various needs including coal mining, transportation, sales, equipment maintenance, spare parts, human resources management, etc. It can complete the location of personnel in the mining area in 1 second. For information refresh, any equipment in the mining area can be remotely started in 25 milliseconds, and a comprehensive inspection of all mining area production systems can be completed in 3 seconds.

(3) Smart transportation and marketing of coal

Focusing on the coal transportation needs such as punctuality, safety, and low cost, we will gather fleet data through the industrial Internet platform to promote refined operation management, integrated sales and transportation, and controllable transportation safety to create a smart coal supply chain. The first is fleet dynamic management. Based on the industrial Internet platform, we will accelerate the migration of vehicles to the cloud, dynamically adjust transportation deployment according to actual conditions such as loading, queuing, and traffic in the park, and create a precise coal transportation capacity pool. The second is sales and transportation coordination. Establish a transportation price database and compare transportation methods based on the individual needs of coal products to maximize transportation efficiency and reduce transportation costs. The third is intelligent assisted driving. Relying on machine vision, deep learning and other technologies, it can automatically identify dangerous scenarios such as fatigue driving, speeding, lane departure and so on, and provide timely reminders to drivers to reduce the rate of transportation accidents.

For example, G7 Zhilian relies on the platform to dynamically monitor accidents, driver behavior and other events, and updates risk identification every 5 minutes, driving the company's transportation efficiency to increase by 5 times, transportation costs to decrease by 10%, and safety index to increase by 2 times.

(4) Ecological resource protection

As a carrier of big data management, decision-making and research, the industrial Internet platform integrates technologies such as drones, three-dimensional virtual simulation, multi-dimensional numerical model analysis and on-site real-time monitoring, and can provide technical system support for ecological restoration. The first is solution reserve. The industrial Internet platform can be used to store millions of basic ecological information such as water, soil, air, grass, and livestock, collect native plant germplasm resources from various places, automatically generate ecological restoration combination libraries, and enrich ecological restoration plans. The second is to assist personalized customization. Through the platform, we can collect regional historical ecological data, trace native plants, analyze matching communities, explore evolution patterns, and implement decision-making assistance according to local conditions. The third is ecological real-time monitoring. Based on the industrial Internet, monitoring point information is aggregated, and ecological data such as pH value, light, humidity, air pressure, etc. of environmental soil are summarized and analyzed to support accurate and real-time monitoring and command.

For example, Mengcao Group has built a mine ecological big data platform. It has dynamically monitored 30 million valid information points and stored more than 5 million text standard instructions, realizing "one picture" for ecological data command and "one network" for scientific management. Precise service "one platform" effectively supports the construction of mine restoration.

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3. Focus on promoting the implementation of application scenarios

(1) Accelerate the migration of equipment to the cloud and lay a solid foundation for data collection

The first is to use "three machines and one machine" as a breakthrough to promote the cloud migration of key equipment, accelerate data-driven product design optimization, and promote collaborative research on common and key technologies. The second is to rely on the industrial Internet platform to open up data links between business links, build a real-time and transparent data chain of coal mining, excavation, machinery, transportation, transportation, washing and other aspects, and realize the intelligent operation of the entire coal mine production process. The third is to rely on the industrial Internet platform to connect all links upstream and downstream of the industrial chain, and provide price index and transaction data as the core to accelerate business model innovation.

(2) Focus on industrial collaboration and strengthen the accumulation of key models

The first is to develop models for life prediction and fault diagnosis for equipment such as hydraulic anchor drilling rigs, crushers, belt conveyors, and coal mine robots to enhance the efficiency of equipment management and control. The second is to optimize the scene models such as belt no-load, safe track driving, water exploration and release operations, etc., to improve the recognition accuracy. The third is to establish models around cross-disciplinary and cross-enterprise fields such as unmanned mining truck driving and supply chain collaboration.

(3) Strengthen research and breakthroughs and optimize the supply of solutions

The first is to explore and promote the promotion and application of solutions in the security field such as emergency rescue, safety monitoring, and risk warning based on the industrial Internet, deepen the application of technologies such as GPS and visual perception, and improve the core competitiveness of enterprises. The second is to develop integrated service solutions such as intelligent mining, Asset MANAGEMENT, energy management, and employee management. The third is to condense the coal industry Internet development model, technical path, management experience, etc. that can be replicated and promoted, and promote and apply it to similar enterprises.

(4) Pay attention to green safety and establish a smart coal brand

First, rely on the industrial Internet platform to accelerate the application of green mining technologies such as filling mining and water conservation mining, and actively promote the construction of green mines. The second is to carry out standard implementation based on the Data Management Capability Maturity Model (DCMM), formulate data classification and hierarchical management standards, and strengthen data security. The third is to organize in-depth tours, on-site meetings and other publicity and promotion activities to build corporate brands and increase corporate influence.