CN112328723A - Digital steel mill visualization analysis system based on GIS - Google Patents
Digital steel mill visualization analysis system based on GIS Download PDFInfo
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Abstract
The invention relates to a GIS (geographic information system) -based digital steel mill visual analysis system, belonging to the field of informatization. The system comprises a data storage background, an algorithm service middle station and a business application foreground; the data storage background is used for collecting, sorting, verifying, warehousing and distributing service for basic attribute data and basic spatial data of a steel mill, and providing spatial data service support for the algorithm service middle desk and the business application foreground; the algorithm service central desk is used for receiving the data of the data storage background, precipitating the business experience, solidifying the method model and providing data analysis service for upper business application; the business application foreground is used for receiving the data and the analysis results of the data storage background and the algorithm service middle desk, combining with a specific business application scene, and finally creating different business analysis systems to provide services for the steel business.
Description
Technical Field
The invention belongs to the field of informatization, and relates to a GIS-based digital steel mill visualization analysis system.
Background
The first digital transformation of steel enterprises is to realize the digital management of the information of the whole steel plant. The service systems lack a unified standard and are difficult to exchange information. The iron and steel enterprises repeatedly invest a large amount of resources and continuously form information islands, so that the problems of information asymmetry, low communication efficiency, insufficient emergency response capability and the like are caused, and the development of the digital era cannot be adapted. In the face of steel industry data with large scale and complex structure, technologies such as computers, internet, GIS and the like are urgently needed to digitize steel mill whole plant information and geographic information and store the digitized steel mill whole plant information and the geographic information in a computer network, so that a digital steel mill virtual space is formed, and omnibearing, multilevel and integrated fine management and visual analysis of the steel mill information are realized.
Disclosure of Invention
In view of the above, the present invention provides a digital steel mill visualization analysis system based on a GIS.
In order to achieve the purpose, the invention provides the following technical scheme:
a GIS-based digital steel mill visualization analysis system comprises a data storage background, an algorithm service center and a business application foreground;
the data storage background is used for collecting, sorting, verifying, warehousing and distributing service on the basic attribute data and the basic spatial data of the steel mill;
the algorithm service central station is used for receiving the data of the data storage background, precipitating business experience, solidifying a method model and providing data analysis service for upper business application;
and the business application foreground is used for receiving the data and the analysis results of the data storage background and the algorithm service middlebox, and building different business analysis systems by combining specific business application scenes.
Optionally, the data storage background includes:
the data collection assembly is used for collecting and organizing basic attribute information of each entity object of the steel mill and collecting and organizing data generated in the production operation process of the steel mill;
the data standard checking component is used for checking and cleaning data and removing redundant and invalid data;
the data storage component is used for storing the checked data into a database, subdividing the data into a spatial database and a non-spatial database according to the data types, and establishing a unified index;
and the data service distribution component is used for publishing the data as WEB service for the upper layer business system to call.
Optionally, the data storage background performs deep analysis on the data by using a data analysis component in the algorithm service center, where the deep analysis includes:
transformation algorithm of spatial data: the system is used for realizing plane coordinate transformation, spherical coordinate transformation, space radiation transformation and map projection transformation;
spatial data conversion algorithm: the device is used for realizing the mutual conversion between the vector data and the raster data;
spatial data organization algorithm: the system is used for realizing compression of vector data and raster data and generation of a spatial topological relation;
and (3) a spatial metric algorithm: the device is used for realizing plane distance, area measurement, angle measurement, space plane and space line measurement;
spatial data indexing algorithm: the index establishing method is used for establishing indexes of spatial data, and comprises a B tree index, an R tree index and a quadtree index;
spatial data interpolation algorithm: the method is used for realizing the interpolation of the spatial data, and comprises polynomial interpolation, inverse distance weight interpolation, bilinear interpolation and Krigin interpolation.
Optionally, the algorithm service center station includes:
the data visualization component is used for visually expressing the spatial data in a map;
the spatial analysis component is used for realizing the spatial rule of the data and assisting intelligent decision making;
the business analysis component is used for solidifying a common business analysis function into a standard analysis component;
wherein the spatial analysis component examines the spatial relationships of the elements to optimize the overall design of the steel mill;
checking whether the spatial topological relation of steel mill building structures, pipelines and road networks conforms to the rules or not through a spatial analysis collision detection algorithm, and checking unreasonable layout positions;
by a network analysis algorithm of spatial analysis, an optimal path can be automatically searched based on a road network data set, road impedance and a cost matrix, and intelligent logistics planning is assisted;
by a geometric network analysis algorithm of spatial analysis, pipe explosion analysis and valve closing analysis can be performed on the basis of a pipeline network data set and on the basis of material flow direction, which areas can be influenced after pipe explosion is simulated and calculated, and which valves can be closed in time to quickly block the pipe explosion;
by the aid of buffer area analysis and superposition analysis algorithms of spatial analysis, spatial intersection relations of elements can be rapidly calculated, assets of additional building structures are rapidly calculated, and accurate management and control of the elements in a plant are achieved;
through space analysis's fence algorithm, can monitor the mobile condition of vehicle and personnel in the factory to according to fence's nature, in time carry out the early warning to the condition that appears unusually, the wisdom safety in production is realized to the power steel mill.
Optionally, the service application foreground receives data and analysis results of the data storage background and the algorithm service middlebox, and creates different service analysis systems by combining specific service application scenarios.
Optionally, the service application foreground includes:
the service sharing component is used for managing and sharing steel mill information data service;
the logistics management system is used for realizing organization management of logistics inside and outside a plant, optimizing the design of the logistics system and reducing the logistics cost;
the land use analysis assembly is used for accurately controlling the land in the steel mill;
the safety production management component is used for managing the production operation condition of the whole plant and discovering and avoiding potential safety production hazards;
and the fixed asset management assembly is used for managing the fixed assets of the steel mill in real time, improving the production efficiency and saving the management cost.
The invention has the beneficial effects that: the data resources of the steel enterprises are uniformly managed from a brand-new geographic space perspective, the data resources between all service systems taking the steel plant enterprises as cores are shared, the site selection and positioning, early-stage planning and market analysis of newly-built green land steel plants can be served, the system optimization, cost control and land approval of old steel plants can be served, data services are provided for all service systems, the problems of enterprise information isolated islands and limited entity resources are effectively solved, and the high-quality development of the steel enterprises is assisted.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter.
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For the purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention in a schematic way, and the features in the following embodiments and examples may be combined with each other without conflict.
Wherein the showings are for the purpose of illustrating the invention only and not for the purpose of limiting the same, and in which there is shown by way of illustration only and not in the drawings in which there is no intention to limit the invention thereto; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by terms such as "upper", "lower", "left", "right", "front", "rear", etc., based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not an indication or suggestion that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes, and are not to be construed as limiting the present invention, and the specific meaning of the terms may be understood by those skilled in the art according to specific situations.
As shown in fig. 1, the present invention provides a digital steel mill visualization analysis system based on GIS, which comprises a data storage background, an algorithm service center and a business application foreground;
the data storage background module is responsible for collecting, sorting, verifying, warehousing and distributing service for basic attribute data and basic spatial data of a steel mill, and the data storage module is used as a data resource center of the whole system and provides spatial data service support for the algorithm service center desk and the business application foreground.
Further, the data storage background comprises a data collection component, a data standard verification component, a data warehousing component and a data service distribution component, wherein:
the data collection component is used for collecting basic data information of each entity object of the steel mill and data generated in the production operation process of the steel mill; selecting an entity object with the attribute to be input by selecting the function of the entity object of the steel mill; and inputting the attribute information and the production operation information of the selected entity object by filling in the form and selecting an uploading attachment function, and storing the input information in a form of a relational attribute table by the system.
The data standard checking component is used for checking and cleaning data, and checking whether the collected data meets the system requirements or not based on the system set data standard specification; by selecting a rule checking function, the system judges whether the data meets the standard or not according to the entity object keywords, the field keywords and the analysis result of the attribute value type; by selecting the clear data redundancy function, the system clears the data redundancy based on the consistency check.
And the data warehousing component is used for storing the verified data into a database. The system automatically distinguishes data into spatial data and non-spatial data according to data types by selecting a data storage function, opening a data list and selecting data to be stored; recording all selected spatial data into a spatial database by selecting a spatial data storage function; inputting all selected non-spatial data into a relational database by selecting a non-spatial data storage function; by selecting the index establishment function, the system establishes a unified index according to the object ID.
And the data service distribution component distributes the spatial data into network service by using a spatial data engine and a data slicing tool for the upper-layer service system to call. Selecting a service publishing function, browsing a data list, and selecting service data to be published; and issuing the data as the network service by selecting the confirmation issuing function, and acquiring the service address of the network service.
Further, in the above-mentioned GIS-based digital steel mill visualization analysis system, the algorithm service console module is configured to receive data of the data storage background, precipitate service experience, and perform analysis processing on the data by combining a GIS spatial analysis algorithm with a solidification method model, so as to provide a data analysis service for upper service application.
The algorithm service center station comprises a data visualization component, a space analysis component and a business analysis component, wherein:
and the data visualization component is used for visually expressing the spatial data in the map. Browsing a data list and a network service list stored in the data storage background by selecting a data mapping function, selecting data and services for mapping, and adding the data and services into a map in a layer mode according to the data and services analyzed into information objects by the system; self-defining adjustment is carried out on the symbols and the patterns of the layers by selecting a pattern editing function; adding the layer annotation is completed by selecting the layer annotation function; the display, hiding, removing and sequence of the layer are self-defined and adjusted by selecting the layer control function; adding the legend is completed by selecting the legend function; and printing the map by selecting the base map printing function.
The spatial analysis component is used for realizing the spatial rule of data and assisting intelligent decision making.
Selecting a buffer area analysis function, selecting a buffer radius of a buffer object, and rendering a buffer area range in a map; selecting a thermal analysis object by selecting a thermal analysis function, and rendering in a map to obtain a thermal analysis result of the analysis object; selecting a clustering point element object and a clustering radius through selecting a clustering analysis function, and aggregating point elements into a class according to the clustering radius by the map; setting query parameters by selecting a data query function to obtain a query result, and displaying the query result in a map in a layer mode in a superposition manner; by selecting a dynamic path planning function, a starting point and an end point are set on a road network, and the system calculates the shortest path according to a shortest path algorithm and displays the shortest path in a map in a layer mode in an overlapping mode.
The business analysis component solidifies the common business analysis function into a standard analysis component according to business requirements, and provides equipment searching and flow direction analysis functions. Selecting an equipment searching function, setting equipment characteristic parameters, searching in a steel mill data set to obtain all steel mills meeting conditions, and displaying in a map in a layer mode in an overlapping mode; and selecting a specific steel mill through a flow direction selecting analysis function, analyzing to obtain the product sales flow direction relation between all other steel mills and the selected steel mill, and rendering and displaying in a map in a streamline form.
Further, in the above-mentioned GIS-based digital steel mill visualization analysis system, the business application foreground module is configured to receive data and analysis results of the data storage background and the algorithm service center, and create different business analysis systems by combining specific business application scenarios.
The business application foreground comprises a service sharing component, a physical management component, a land use analysis component, a safe production management component and a fixed asset management component, wherein:
the service sharing component is used for managing and sharing steel mill information data service and realizing the unification of bottom layer data of each service system. By selecting service sharing, services can be shared to a particular object.
The logistics management system utilizes the space analysis component of the algorithm service center and is based on the road network data set, so that the organization and management of logistics inside and outside a factory can be realized, the design of the logistics system is optimized, and the logistics cost is reduced. By selecting a logistics management function, the transportation amount of logistics is rendered and displayed in different colors according to magnitude in a network data set; by setting the starting point and the end point of logistics transportation, setting road operation cost and impedance parameters, analyzing and calculating by a system to obtain the optimal logistics transportation path from the starting point to the end point, and transporting materials according to the path with the lowest cost.
The land use analysis assembly is used for accurately controlling the land in a steel mill, and comprises a red line monitoring function, a dismantling cost statistic function and a land use approval function, so that the land resource utilization efficiency is improved. By selecting the red line monitoring function, the system obtains a condition analysis report that the building exceeds the red line range according to the collision detection of the red line layer and the building layer; selecting a dismantling range in a map frame by selecting a dismantling cost statistical function, or uploading a dismantling range layer, and calculating by the system according to a dismantling model to obtain the dismantling cost of the selected dismantling range; through the land use approval function of the selection rule, the user interactively selects the land use range in the map, and the system tool automatically obtains the land use approval opinion report according to the current land use situation and the planning situation.
The safety production management component manages the production operation condition of the whole plant based on the position information and the equipment monitoring data by utilizing the space analysis component of the algorithm service center, positions the fault occurrence position in time, and discovers and avoids the potential safety production hazard. By selecting the safety production management function, the position of a fault in a steel mill is displayed in a highlight alarm mode in a map, and the optimal safety protection range is quickly planned.
The fixed asset management assembly is used for managing fixed assets of a steel mill in real time, accurately mastering asset information, improving production efficiency and saving management cost. And displaying the statistical result of the fixed assets of the steel mill by selecting the fixed asset management, and carrying out interactive linkage display in a map.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (6)
1. The utility model provides a visual analytic system of digital steel mill based on GIS which characterized in that: the system comprises a data storage background, an algorithm service middle station and a business application foreground;
the data storage background is used for collecting, sorting, verifying, warehousing and distributing service on the basic attribute data and the basic spatial data of the steel mill;
the algorithm service central station is used for receiving the data of the data storage background, precipitating business experience, solidifying a method model and providing data analysis service for upper business application;
and the business application foreground is used for receiving the data and the analysis results of the data storage background and the algorithm service middlebox, and building different business analysis systems by combining specific business application scenes.
2. The GIS-based digital steel mill visualization analysis system according to claim 1, wherein: the data storage background comprises:
the data collection assembly is used for collecting and organizing basic attribute information of each entity object of the steel mill and collecting and organizing data generated in the production operation process of the steel mill;
the data standard checking component is used for checking and cleaning data and removing redundant and invalid data;
the data storage component is used for storing the checked data into a database, subdividing the data into a spatial database and a non-spatial database according to the data types, and establishing a unified index;
and the data service distribution component is used for publishing the data as WEB service for the upper layer business system to call.
3. The GIS-based digital steel mill visualization analysis system according to claim 2, wherein: the data storage background carries out deep analysis on the data by utilizing a data analysis component in the algorithm service center, and the deep analysis comprises the following steps:
transformation algorithm of spatial data: the system is used for realizing plane coordinate transformation, spherical coordinate transformation, space radiation transformation and map projection transformation;
spatial data conversion algorithm: the device is used for realizing the mutual conversion between the vector data and the raster data;
spatial data organization algorithm: the system is used for realizing compression of vector data and raster data and generation of a spatial topological relation;
and (3) a spatial metric algorithm: the device is used for realizing plane distance, area measurement, angle measurement, space plane and space line measurement;
spatial data indexing algorithm: the index establishing method is used for establishing indexes of spatial data, and comprises a B tree index, an R tree index and a quadtree index;
spatial data interpolation algorithm: the method is used for realizing the interpolation of the spatial data, and comprises polynomial interpolation, inverse distance weight interpolation, bilinear interpolation and Krigin interpolation.
4. The GIS-based digital steel mill visualization analysis system according to claim 2, wherein: the algorithm service central station comprises:
the data visualization component is used for visually expressing the spatial data in a map;
the spatial analysis component is used for realizing the spatial rule of the data and assisting intelligent decision making;
the business analysis component is used for solidifying a common business analysis function into a standard analysis component;
wherein the spatial analysis component examines the spatial relationships of the elements to optimize the overall design of the steel mill;
checking whether the spatial topological relation of steel mill building structures, pipelines and road networks conforms to the rules or not through a spatial analysis collision detection algorithm, and checking unreasonable layout positions;
by a network analysis algorithm of spatial analysis, an optimal path can be automatically searched based on a road network data set, road impedance and a cost matrix, and intelligent logistics planning is assisted;
by a geometric network analysis algorithm of spatial analysis, pipe explosion analysis and valve closing analysis can be performed on the basis of a pipeline network data set and on the basis of material flow direction, which areas can be influenced after pipe explosion is simulated and calculated, and which valves can be closed in time to quickly block the pipe explosion;
by the aid of buffer area analysis and superposition analysis algorithms of spatial analysis, spatial intersection relations of elements can be rapidly calculated, assets of additional building structures are rapidly calculated, and accurate management and control of the elements in a plant are achieved;
through space analysis's fence algorithm, can monitor the mobile condition of vehicle and personnel in the factory to according to fence's nature, in time carry out the early warning to the condition that appears unusually, the wisdom safety in production is realized to the power steel mill.
5. The GIS-based digital steel mill visualization analysis system according to claim 3, wherein: and the business application foreground receives the data and the analysis result of the data storage background and the algorithm service middle desk, and creates different business analysis systems by combining a specific business application scene.
6. The GIS-based digital steel mill visualization analysis system according to claim 3, wherein: the service application foreground comprises:
the service sharing component is used for managing and sharing steel mill information data service;
the logistics management system is used for realizing organization management of logistics inside and outside a plant, optimizing the design of the logistics system and reducing the logistics cost;
the land use analysis assembly is used for accurately controlling the land in the steel mill;
the safety production management component is used for managing the production operation condition of the whole plant and discovering and avoiding potential safety production hazards;
and the fixed asset management assembly is used for managing the fixed assets of the steel mill in real time, improving the production efficiency and saving the management cost.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112632399A (en) * | 2021-03-09 | 2021-04-09 | 四川万网鑫成信息科技有限公司 | Topological relation obtaining method and device based on spatial position and storage medium |
| CN112883139A (en) * | 2021-03-15 | 2021-06-01 | 国家海洋信息中心 | Automatic checking method for spatial data and service data based on GIS vector calculation |
| CN113283542A (en) * | 2021-06-17 | 2021-08-20 | 北京红山信息科技研究院有限公司 | Job and live information determination method, apparatus, device and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101908165A (en) * | 2010-05-17 | 2010-12-08 | 北京中机科海科技发展有限公司 | Geographic information system (GIS)-based industrial cluster information integration service system and method |
| CN102930393A (en) * | 2012-10-25 | 2013-02-13 | 海南电网公司 | Comprehensive power grid information display visualization system |
| CN104008437A (en) * | 2013-02-25 | 2014-08-27 | 陈国祥 | Visualization display system of intelligent power network, and method thereof |
| CN104572062A (en) * | 2014-04-15 | 2015-04-29 | 武汉中地数码科技有限公司 | Construction method for geospatial information workflow service function flow templates |
| CN105389753A (en) * | 2015-11-04 | 2016-03-09 | 江西理工大学 | Farmland contract management ownership one-map service system and realization method thereof |
| CA2875578A1 (en) * | 2014-12-24 | 2016-06-24 | Stephan HEATH | Systems, computer media, and methods for using electromagnetic frequency (emf) identification (id) devices for monitoring, collection, analysis, use and tracking of personal, medical, transaction, and location data for one or more individuals |
| CN106610958A (en) * | 2015-10-21 | 2017-05-03 | 星际空间（天津）科技发展有限公司 | Integrated management system of geographic information data |
| US9746985B1 (en) * | 2008-02-25 | 2017-08-29 | Georgetown University | System and method for detecting, collecting, analyzing, and communicating event-related information |
| CN111414446A (en) * | 2020-03-23 | 2020-07-14 | 四川中地云智慧科技有限公司 | Land space basic information platform |
-
2020
- 2020-11-11 CN CN202011255790.XA patent/CN112328723B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9746985B1 (en) * | 2008-02-25 | 2017-08-29 | Georgetown University | System and method for detecting, collecting, analyzing, and communicating event-related information |
| CN101908165A (en) * | 2010-05-17 | 2010-12-08 | 北京中机科海科技发展有限公司 | Geographic information system (GIS)-based industrial cluster information integration service system and method |
| CN102930393A (en) * | 2012-10-25 | 2013-02-13 | 海南电网公司 | Comprehensive power grid information display visualization system |
| CN104008437A (en) * | 2013-02-25 | 2014-08-27 | 陈国祥 | Visualization display system of intelligent power network, and method thereof |
| CN104572062A (en) * | 2014-04-15 | 2015-04-29 | 武汉中地数码科技有限公司 | Construction method for geospatial information workflow service function flow templates |
| CA2875578A1 (en) * | 2014-12-24 | 2016-06-24 | Stephan HEATH | Systems, computer media, and methods for using electromagnetic frequency (emf) identification (id) devices for monitoring, collection, analysis, use and tracking of personal, medical, transaction, and location data for one or more individuals |
| CN106610958A (en) * | 2015-10-21 | 2017-05-03 | 星际空间（天津）科技发展有限公司 | Integrated management system of geographic information data |
| CN105389753A (en) * | 2015-11-04 | 2016-03-09 | 江西理工大学 | Farmland contract management ownership one-map service system and realization method thereof |
| CN111414446A (en) * | 2020-03-23 | 2020-07-14 | 四川中地云智慧科技有限公司 | Land space basic information platform |
Non-Patent Citations (2)
| Title |
|---|
| KUO CC等: "energy management based on AM/FM/GIS for phase balancing application on distribution systems", 《ENERGY CONVERSION AND MANAGEMENT》 * |
| 赵研等: "GIS在冶金企业能源管理系统中的应用研究与实现", 《中国金属学会专题资料汇编》 * |
Cited By (4)
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| CN112632399A (en) * | 2021-03-09 | 2021-04-09 | 四川万网鑫成信息科技有限公司 | Topological relation obtaining method and device based on spatial position and storage medium |
| CN112883139A (en) * | 2021-03-15 | 2021-06-01 | 国家海洋信息中心 | Automatic checking method for spatial data and service data based on GIS vector calculation |
| CN113283542A (en) * | 2021-06-17 | 2021-08-20 | 北京红山信息科技研究院有限公司 | Job and live information determination method, apparatus, device and storage medium |
| CN113283542B (en) * | 2021-06-17 | 2024-03-05 | 北京红山信息科技研究院有限公司 | Method, device, equipment and storage medium for determining job information |
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