Low-code empowerment | Green smart mining solutions

In the context of the increasingly tense world energy, the digital upgrading of the energy industry is the general trend. As the "ballast stone" of national energy security, the mining industry must also undergo industrial upgrading. The country has been vigorously promoting the construction of smart mines. Realizing the digital and intelligent transformation of mines through emerging technologies such as big data, GIS, Internet of Things, cloud computing, and artificial intelligence is not only the development trend of world energy technology, but also the need for the country to upgrade and adjust its energy structure.

1. Introduction to smart mining solutions

Yuanyuan Jiema's smart mine solution supports the integration of digital resources of various mine systems, deeply integrates big data analysis, cloud computing, Internet of Things, GIS and other technical applications, and organically combines information, technology, equipment and mine management needs to achieve in-mine During the production process, full-link automation, intelligent and refined management of mining, processing, transportation, storage and other links are implemented.

                                                                         Product Architecture Diagram

This solution strictly refers to the "Green Mine Construction Evaluation Indicators" released by the Ministry of Natural Resources of the People's Republic of China in 2020 to help mines improve production efficiency, reduce energy consumption, reduce mine ecological risks, protect the ecological environment, and improve miners' safety. Help mines carry out intelligent upgrades and achieve green mine construction on the basis of promoting mine economic benefits.

2. Introduction to solution application scenarios (picture)

1. Environmental monitoring

Collect environmental data in the mine in real time, summarize and display it in data visualization, automatically analyze the data, and issue alarms for abnormal situations. The main charts display dust monitoring, slope monitoring, noise monitoring, water quality testing, key site monitoring pictures, alarm events and other information.

2. Unattended

Through various image algorithms such as image recognition and anomaly detection, real-time analysis and identification of mine monitoring images are carried out. Alerts for unsafe behaviors or abnormal events that occur on the screen, helping mine managers to intuitively control the mine safety situation and reduce the probability of project accidents.

3. Production analysis

Track and manage the mining and processing process of the mine, including production planning, task allocation, production progress, etc., for real-time production data monitoring and analysis, helping managers optimize the production process, improve production efficiency, and adjust plans in a timely manner to respond to changes.

4. Vehicle supervision

Monitor and analyze the status of engineering vehicles in the mine through vehicle positioning, driving trajectory recording, fuel consumption monitoring and other functions. Help managers monitor vehicle status in real time, provide timely reminders of vehicle information that needs maintenance, and provide vehicle scheduling optimization, route planning and other solutions to help mining areas reduce costs and increase efficiency.

5. Storage analysis

Track the incoming, outgoing, inventory and other real-time data of the mine warehouse and automatically generate visual reports. For inventory shortages, it will automatically warn and generate corresponding material procurement plans to ensure sufficient supply of materials in the mine and help managers manage mine inventory materials efficiently.

6. Energy consumption analysis

By collecting real-time data on the energy consumption of each equipment in the mine, summarizing and analyzing it for visual display, it helps managers identify energy waste and equipment energy-saving potential, optimize energy management strategies, and reduce production costs.

7. Equipment self-control

Access various equipment in the mine through the IOT platform, collect various types of equipment data in real time, and configure the equipment through the platform to allow the equipment to operate on its own according to different actual conditions, and can periodically query past operation logs to facilitate review and optimization. Equipment automatic control helps mines reduce the workload of operation and maintenance managers and improve the response speed of mining areas in response to emergencies.

8. Alarm rules

Mine managers can query information about real-time alarms occurring in the mine and query details of alarm events that have occurred in the past. Alarm situations can be optimized by modifying alarm rules to improve the accuracy and agility of alarm events. The alarm rule function helps mines reduce the probability of unexpected events and optimize the mine's response process to alarm events.

3. Introduction to application cases

Related cases: Green mine construction in a mine in Jiangxi

Project background: Promote the transformation of the development mode of a mining area in Jing'an County. In the entire process of mineral resource development, we will achieve an ecological environment in the mining area, scientific mining methods, efficient resource utilization, standardized corporate management, and harmonious mining community communities, and promote the development of mining areas. ecological sustainable development. It can more effectively break the information islands between systems, and also provide a basis for the supervision and third-party assessment work of natural resources and other competent departments.

project outcome:

JEMA designs solutions for customers based on green mine construction standards. On the basis of integrating the data resources of the existing information system of the mining department, integrating big data, cloud computing, AI, Internet of Things and other cutting-edge technology applications, covering resource overview, video surveillance, unattended, washing production, coal mine production, safety Monitoring, environmental monitoring, water quality monitoring, reclamation monitoring, geological environment, operation management, system management and other business scenarios fully empower mining enterprises in production management, environmental monitoring and other aspects, and help the mining work become digital, intelligent and decision-making. , to promote the local mining industry to move towards efficient and sustainable development.

4. Cooperation methods

Since the establishment of ecological cooperation, JEMA industry has been applied in 120 regions across the country, helping 15,000+ companies complete system development and software delivery services under the project, and empowered industries covering more than ten fields such as smart water, smart transportation, smart parks, and industrial Internet. Industry, it effectively improves the company's comprehensive supervision and control capabilities, reduces corporate operating costs, and achieves refined management. Cooperate with Magma, you will get:

1. Comprehensive technical services

Free one-to-one after-sales technical support group 7*12 service;

Senior architect of JEMA, responsible for sorting out and directing the project development stage;

2. One-stop training service

Weekly JEMA online training courses;

Regular advanced practical live training;

Free low-code engineer assessment and certification;

Low-code project development management system training;

3. Full-process industry services

Provide and support multi-industry solutions;

Multi-industry demonstration system and template support;

A team of industry experts provides one-to-one full service;

4. Ecological business opportunity services

Projects are launched for free on the application market;

Business opportunities are pushed to local partners in priority;

Free packaging and promotion of project cases;

Industry community business opportunity sharing and communication;

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Origin blog.csdn.net/Gemcoder/article/details/132608067