Digitalization promotes the transformation and upgrading of steel industry

In the digital era, with the deepening of digital construction such as digital Earth, Digital China and digital factory, based on Geographic Information System (GIS), integration of big data visualization, cloud computing, Internet of Things and artificial intelligence and other new generation of Information technology, It overturns the traditional GIS application, stimulates the new vitality of the geographic information industry, and makes the geographic information application more and more widely, and moves towards the stage of The Times.

Interface introduction and effect preview

As an important basic raw material for the development of national economy, the product innovation of steel industry provides strong support for the development of Chinese economy. Since the “13th Five-Year Plan”, China’s iron and steel industry from the top-level design to the ground to take root, in a comprehensive deployment, actively explore the industry technology innovation on the road to achieve an excellent level. In the 14th Five-year Plan, we will control the high-quality development of the iron and steel industry, accelerate green development and intelligent manufacturing, and focus on solving the three difficulties in controlling capacity expansion, promoting industrial concentration and ensuring resource security.

Through the visualization of graph software and GIS related technology, the comprehensive digital construction of energy and safety of iron and steel plant is carried out, so that the monitoring of iron and steel plant is more intuitive, the control is more accurate, and the overall management level and steelmaking efficiency of iron and steel plant are improved, and the transformation and upgrading process of green and intelligent steel industry is promoted.

Realize the value of

Digital steel plant construction based on HT for Web and GIS technology mainly includes the following three aspects:

Data acquisition:

ø There are two main ways to obtain 3d scene data of steel mills: one is through aerial modeling; One is through manual modeling.

ø Steel plant business data (monitoring points, jurisdiction area, cruise lines, etc.) are mainly obtained through the management of the established basic GEOGRAPHIC information system and the monitoring data of the equipment deployed in the plant.

Aerial modeling, also known as tilt photography 3d, is a GIS technology developed rapidly in recent years. Aircraft or unmanned aerial vehicles (UAVs) equipped with multiple sensors are used to photograph and collect ground objects from five directions: front, back, left and right as well as vertical, so as to quickly and efficiently obtain real data information reflecting the ground situation. Through a series of internal processing operations such as correction, adjustment and multi-view image matching, the 3d model is finally obtained.

Artificial modeling, mainly according to a certain range of scene drawings or CAD drawings combined with real photos on the ground for artificial modeling.

The characteristics of aerial modeling and manual modeling are compared as follows:

In addition to the above characteristics, the result data of aerial modeling has geographic coordinate system information, which can accurately match WITH GIS. To match with GIS, manual spatial correction registration is required. The OSGB model data of aerial photography modeling has multiple levels of Detail (LOD). The system can display LOD models with different precision according to the user’s browsing time and the distance of the scene, so as to improve the efficiency of data display and rendering. However, aerial modeling also has some disadvantages. For example, the precision of modeling is not as fine as that of manual modeling. If a more precise model is needed, a lot of manual intervention is needed. If simple models need to be queried, analyzed and edited, aerial photos need to be monomer, which requires a longer cycle and higher cost. Therefore, monomer processing is applied in key buildings or historic sites.

The data analysis

Spatial data analysis is one of the core contents of GIS. For digital steel plant, in terms of environmental protection, mainly on TSP, PM10, PM2.5, organized, factory pollution analysis; In the aspect of safety, it mainly covers the scene monitoring, fire fighting equipment and the four-color map of safety range.

Analyze the rationality of the layout of the monitoring point in the steel plant, assist to guide the monitoring layout of the steel plant, and monitor the production status of the plant more comprehensively.

The analysis of the steel plant pollution, and then guide the steel plant environmental governance work, promote the green construction of the plant. Through the analysis of four-color diagram of plant safety, it has important guiding significance to the layout control of fire fighting equipment and monitoring equipment in key safety protection areas.

Data visualization

Data analysis results exist in specific data reports. For non-professionals, it is difficult to directly and clearly understand specific analysis results. Data visualization enables the analysis results to be presented intuitively in the scene, and the analysis results can be presented simply and clearly in front of users to help guide decision-making. Data visualization to some extent, on the other hand, also change the operation mode of the past, such as factory inspection, do not need to field the field staff, directly on the visualization platform through roaming, view, in the form of video monitoring and combined with the Internet of things, can even abnormal indicators to monitor the premises to control or alarm.

The system functions of the digital steel plant are mainly set as follows:

  • The factory in
  • Video monitoring
  • Indicators monitoring
  • Pollution control
  • Area four color map
  • Distribution of fire Detection

The factory in

1. Fixed-point roaming

Fixed-point roaming refers to the central location of fixed roaming according to the latitude and longitude, and a 360 degree circumnavigation of the scene with a certain visual distance, so that users can have a comprehensive view of the factory.

2. Line roaming

In addition to fixed-point roaming, the integration scheme of HT and GIS also provides the construction of roaming routes based on longitude, latitude and altitude data, so that users can inspect and roam the iron and steel factory according to the specified routes from the first-person perspective. When formulating routes, they can refer to key areas or areas with high intelligence level to make decisions. To present the key development areas of steel plant and the results of intelligent development to users.

Video surveillance:

The demand for video surveillance in the field of advanced visualization is also increasing. Compared with traditional video surveillance, video surveillance integrated with GIS can quickly locate specific monitoring positions. When accidents occur, it can not only quickly locate event positions, but also quickly view regional information.

Indicators and vehicle monitoring:

For the steel plant, the plant environment monitoring is very important, which is also the reason to actively promote the green steel industry. Clear waters and green mountains are mountains of gold and silver. At present, most of the iron and steel plants on the plant environment monitoring are laid out the corresponding monitoring point, through the docking equipment on the real-time data, you can carry out comprehensive monitoring and control of the plant environment. At the same time, for factors affecting the environment, such as vehicle exhaust emissions, can also carry out real-time monitoring of vehicle distribution and specific information in the factory.

 

Pollution monitoring:

Index monitoring can mainly see the pollution degree near the specific monitoring point. Through the thermal diagram, the value on the monitoring point is presented in the regional surface, which can more intuitively reflect the pollution degree and the scope of influence, and assist relevant personnel to carry out environmental control work in the factory.

Regional four-color map:

The regional four-color map is to display the regional scope of the steel plant according to different risk distribution. The general overview of the regional four-color map can comprehensively understand the regional risk distribution of the steel plant. At the same time, combined with index monitoring points or video monitoring points, the distribution of index monitoring points and video monitoring points can be analyzed and evaluated to determine whether to strengthen monitoring and monitoring of key dangerous areas, and improve the comprehensive management and management of the whole steel plant area.

Distribution of fire Detection:

Through fire detection, we can know the distribution and related information of fire fighting equipment in the factory.

conclusion

The development of iron and steel industry should be based on independent control, enhance independent ability, improve the industry competitive advantage; To green intelligent as the core, improve the overall level of management and control integration and manufacturing level, to create an intelligent manufacturing industry; We should take scientific and technological innovation as the starting point to form a new ecosystem of collaborative and interactive innovation.

HT and GIS integration is not only applied to digital factories in steel industry, but also widely used in smart cities, smart mines, smart parks and many other fields. In terms of land selection, path planning, resource allocation and environmental monitoring, it assists decision-making analysis at the macro level and monitors and controls assets at the micro level, enabling each industry to step into a more intelligent production, management, operation and maintenance.

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