RFID and other technologies enable coal transportation: shift from passive queuing to smart transportation
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The carbon industry provides more than 60% of the basic energy guarantee for my country’s economic and social development. It is a pillar industry of the country’s industry. It has the characteristics of complex process flow, high risk of failure, intensive capital equipment, and variable production conditions, and faces production risks. Industry pain points such as high environmental pollution, difficult equipment management, etc., urgently need to accelerate the pace of digital transformation based on the industrial Internet platform, and comprehensively improve the digital level of production mining, comprehensive management, sales and transportation, and ecological protection. The prospects for the development of the coal industry Internet are broad and the time is right. Huawei Group, Yubei Coal Industry, Mengcao Group and other companies have taken safe production and unmanned production as the starting point, and actively explored industrial Internet solutions, and promoted the coal industry to focus on unmanned production, management integration, transportation networking, and environmental protection. Digitalization and other directions accelerate digital transformation. Based on this, we conducted a special study on the industrial Internet platform solutions of the coal industry, and deeply analyzed the digital transformation trend of the coal industry, platform application scenarios and business landing solutions. The discussion of other mining industry digital transformation paths also has certain reference significance.
1. Analysis of the digital transformation trend of the coal industry
(1) Excavation and mining: the transformation from the simultaneous use of man and machine to unmanned production
The coal industry has long faced emergencies such as gas accumulation, mine water gushing, and geological disasters, which poses greater production risks. With the innovation of mining technology, especially the application of the new generation of information technology, the use of intelligent equipment such as underground robots and intelligent conveyors has significantly reduced the demand for manpower usage. Technologies such as machine vision and deep learning have improved the implementation rate and accuracy of equipment, making Unmanned production, few-person inspections, and remote operation are possible, which will help coal companies reduce employment costs and increase operating profits.
(2) Mine management: shift 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 a large number of system comprehensive coordination problems such as mining machines, mine carts, and miners, and requires high management requirements, wide scope, and great difficulty. 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. Using digital twins, virtual reality and other technologies to create virtual mines, it will visually display the terrain environment, surface features, underground mines and other conditions of the mine, restore the complex environment and production status of the coal mine, and optimize the production process, remote system management, and emergency rescue Command, etc. provide effective support.
(3) Coal transportation: shift from passive queuing to smart transportation
On the one hand, traditional coal transportation and logistics costs are relatively high. Compared with the transportation cost in the express e-commerce field, the average transportation cost is 0.15 yuan/ton-kilometer, and the transportation cost of the coal industry is as high as 0.3 yuan/ton-kilometer. On the other hand, some coal logistics parks lack station management and vehicles are chaotic and disorderly. Through the integration of NB-IoT, RFID, GPS, intelligent identification and other technologies, the car is equipped with smart modules to dynamically monitor the loading and queuing of the mine truck, which is conducive to improving the intelligence of queuing control, diversion scheduling, weighing, loading and unloading , The level of automation can effectively reduce the occurrence of incidents such as stealing coal for coal replacement, shoddy charging, crowded fleets, etc., saving transportation costs and improving transportation efficiency.
(4) Ecological restoration: a shift from macro-design to data-driven
Coal plants are generally located in locations with arid climate, low rainfall, and fragile ecological environment. The environmental pollution and ecological damage caused by coal mining have become increasingly prominent. Ecological restoration can not only rebuild the degraded ecosystem, but also has a broad space for industrialization. Some studies believe that ecological restoration will become one of the top ten industries in the world that will keep pace with the tourism industry in the future. Through the comprehensive use of big data, artificial intelligence and other new-generation information technologies, it is helpful to summarize ecological restoration experience, dynamically adjust restoration plans, and transform 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) Smart and safe production
Relying on the industrial Internet platform to dynamically collect edge-side data, combined with underground robots, intelligent conveyors and other equipment, use machine vision, deep learning and other technologies to realize unmanned production or production with few people, and effectively improve coal safety production capacity. One is intelligent independent production. Enterprises can rely on the industrial Internet platform to realize the automatic identification, independent judgment and automatic operation of coal mining machines, 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 inspection of faulty equipment such as belts, coal bunkers, motors, etc. is carried out to help maintenance personnel adjust the equipment status in time. The third is risk early warning management. Real-time collection of air composition, equipment vibration and other data, combined with model analysis such as gas concentration and equipment life, realizes early warning of coal mine accident risks and improves accident prevention and control capabilities.
For example, Huawei relies on HUAWEI CLOUD to build a “mineral brain”, and builds a “full perception-full link-full intelligence” smart coal mine with the integration of “cloud + edge + terminal”. The real-time risk recognition rate reaches 98%, and the coal mine’s effective working hours Increase by 10%, and reduce equipment operation and maintenance costs by 65%.
(2) Comprehensive mine management
Building digital mines through the industrial Internet combined with AR/VR, virtual simulation, etc., on the basis of realizing the mapping of physical mines in the digital twin space, providing auxiliary decision-making and support for the use, maintenance, repair, and upgrade of mining equipment, transportation equipment, and energy equipment. Operational support. One is that there are few people on duty. Based on the industrial Internet, it provides online supervision services around coal stack 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 working face video surveillance and remote centralized control, etc., to break data islands, improve the level of information sharing, and improve management decision-making efficiency. The third is to assist decision-making. Combine VR/AR, etc. to carry out emergency simulation experience and special type of work training, build an emergency rescue plan library based on 3D mine simulation simulation, and automatically generate rescue plans according to specific conditions.
For example, Yubei Coal Industry has built a smart mining system to make intelligent responses and rapid decision-making to various needs including coal mining, transportation, sales, equipment maintenance, spare parts, human resource management, etc. The location of personnel in the mining area can be completed once in 1 second. Information refresh, 25 milliseconds can remotely start any equipment in the mining area, 3 seconds to complete a comprehensive inspection of all mining production systems.
(3) Smart coal transportation and marketing
Focusing on coal transportation needs such as punctuality, safety, and cheapness, gather fleet data through the industrial Internet platform to promote refined operation management, integration of sales and transportation, and transportation safety and controllability to create a smart coal supply chain. One is the dynamic management of the fleet. Based on the industrial Internet platform, we will speed up vehicle migration to the cloud, and dynamically adjust transportation deployment based on actual conditions such as park loading, queuing, and traffic, to create a precise coal transportation capacity pool. The second is sales and transportation coordination. Establish a transportation price database, and compare transportation methods with the individual needs of coal products, so as to maximize transportation benefits and reduce transportation costs. The third is intelligent assisted driving. Relying on technology such as machine vision and deep learning, it can automatically identify dangerous scenes such as fatigue driving, speeding, lane departure, etc., and promptly remind the driver to reduce the transportation accident rate.
For example, G7 Zhilian relies on the platform to dynamically monitor incidents such as failures, driver behaviors, etc., and update risk identification every 5 minutes, which promotes a five-fold increase in corporate transportation efficiency, a 10% drop in transportation costs, and a two-fold increase in safety index.
(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, which can provide technical system support for ecological restoration. One is the solution reserve. The industrial Internet platform can store millions of ecological basic information such as water, soil, air, grass, livestock, etc., collect the germplasm resources of native plants from all over the country, automatically generate an ecological restoration portfolio library, and enrich ecological restoration plans. The second is to assist in personalized customization. Collect regional historical ecological data through the platform, trace native plants, analyze and match communities, explore the law of evolution, and implement decision-making assistance based on local conditions. The third is ecological real-time monitoring. Based on the industrial Internet, it gathers the monitoring point information, summarizes and analyzes the pH value, light, humidity, air pressure and other ecological data of the environmental soil to support accurate and real-time monitoring and command.
For example, the Mengcao Group has built a mining ecological big data platform. Currently, it has dynamically monitored 30 million effective information points, stored more than 5 million textual standard descriptions, and realized ecological data command “a picture” and scientific management “a web”. Accurate service “one platform” effectively supports the construction of mine restoration.
3. The focus of advancing application scenarios
(1) Accelerate device migration to the cloud and lay a solid foundation for data collection
One is to take “three machines and one frame” as a breakthrough to promote key equipment to the cloud, accelerate data-driven product design optimization, and promote collaborative research on common technologies and key technologies. The second is to rely on the industrial Internet platform to open up data links between business links, build real-time and transparent coal mining, excavation, machinery, transportation, communication, washing and other data chains, and realize the intelligent operation of the entire coal production process. The third is to rely on the industrial Internet platform to connect the upstream and downstream nodes of the industrial chain, and to provide accelerated business model innovation with price index and transaction data as the core.
(2) Focus on industrial synergy 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 rigs, crushers, belt conveyors, coal mine robots, etc., to strengthen the efficiency of equipment management and control. The second is to optimize scene models such as unloaded belts, safe driving on rails, and water exploration and release operations to improve recognition accuracy. The third is to build models around cross-disciplinary and cross-enterprise areas such as unmanned mining vehicle driving and supply chain collaboration.
(3) Strengthen key breakthroughs and optimize the supply of solutions
The first is to explore and promote the application of security solutions in areas 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 reproducible and extendable coal industry Internet development model, technical path, management experience, etc., and promote and apply it to similar enterprises.
(4) Pay attention to green safety and establish a coal smart brand
First, relying on the industrial Internet platform to accelerate the application of green mining technologies such as filling mining and water-preserving mining, and actively promote the construction of green mines. The second is to implement standards in accordance with the Data Management Capability Maturity Model (DCMM), formulate data classification and hierarchical management standards, and strengthen data security. The third is to hold publicity and promotion activities such as in-depth tours and on-site meetings to cast corporate brands and increase corporate influence.
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