CN112418483A - Steel mill road traffic material flow analysis system, method, equipment and medium based on GIS - Google Patents
Steel mill road traffic material flow analysis system, method, equipment and medium based on GIS Download PDFInfo
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Abstract
The application provides a steel mill road traffic material flow analysis system, method, equipment and medium based on GIS, and the system includes: the database module is used for generating a data basis about the material flow distribution quantity of the steel mill by utilizing the attribute information of the steel mill; the road network model generation module is used for generating a road network model of a steel mill according to the data and the engineering design drawing; the material flow generation module is used for generating material flow node flow and material flow OD matrixes on a steel mill map by using data; the material flow distribution module generates a spatial distribution difference diagram of the material flow total distribution quantity and the material flow contribution quantity by utilizing a genetic algorithm and an optimal path algorithm; the material flow distribution module dynamically adjusts the space impedance between special material supply and demand points of the steel mill to generate the final material flow chain contribution amount and the material flow total distribution amount based on the actual material flow condition of the steel mill; and the material flow evaluation module is used for generating optimization suggestions and countermeasures for the steel mill road traffic planning according to the material flow system evaluation indexes. This application has reduced steel mill system cost and has promoted efficiency.
Description
Technical Field
The application belongs to the technical field of logistics, and particularly relates to a GIS-based steel mill road traffic substance flow analysis system, method, equipment and medium.
Background
With the economic trend of China toward high-quality development, steel enterprises face a plurality of challenges of capacity removal, benefit improvement, cost reduction and the like, and the steel enterprises need to explore internal potential to improve market competitiveness. At present, the logistics of iron and steel enterprises are managed by a plurality of secondary units according to transportation modes, the logistics transportation organization lacks systematic global planning, and a large promotion and optimization space exists.
The research on material flow covers the dynamic process of material movement and transformation in the steel manufacturing process, focuses on the production logistics system between workshops of steel enterprises and has direct and indirect influence on logistics operation cost. Based on the process mechanism of the steel production logistics System, the GIS (Geographic Information System) technology is utilized to research the traffic logistics of the steel mill road, and the method has important significance for optimizing the steel mill road, diagnosing and evaluating the logistics System and providing the logistics System optimization and planning direction.
However, there is no analysis system based on steel plant material flow, and research in colleges and universities mainly stays at the level of material flow analysis theory method. In the application level, the general traffic and logistics prediction analysis methods mainly comprise a four-stage method, a total amount control method, an L-OD method and the like, and the methods have larger differences with the logistics generation mechanism of a steel mill and the road traffic demand of the steel mill, so that a set of material flow analysis system completely aiming at the steel mill needs to be designed to better and effectively analyze the material flow of the steel mill.
Disclosure of Invention
In view of the above drawbacks of the prior art, an object of the present application is to provide a system, a method, a device and a medium for analyzing material flow of steel mill road traffic based on a GIS, which are used to optimize a steel mill road system and a material flow line, and provide a material flow system optimization and planning direction, so as to achieve the problems of reducing system cost and improving efficiency.
To achieve the above and other related objects, the present application provides a GIS-based steel mill road traffic material flow analysis system, comprising:
the database module is used for generating data basis about the distribution quantity of the material flow of the steel mill by utilizing the attribute information of the steel mill and storing the benchmarking potential data of the material flow of the steel mill;
the road network model generating module is used for generating a road network model of a steel mill according to the data and the engineering design drawing;
the material flow generation module is used for generating material flow node flow and material flow OD matrixes on a steel mill map according to the data;
the material flow distribution module is used for generating a space distribution difference graph of the material flow chain sharing amount and the material flow total distribution amount by utilizing a genetic algorithm and an optimal path algorithm based on the material flow OD matrix;
the material flow distribution module dynamically adjusts the space impedance between supply and demand points of special materials of the steel mill or drags and corrects a certain material transportation path on a map to generate the final material flow chain contribution amount and the material flow total distribution amount based on the actual condition of the material flow of the steel mill;
and the material flow evaluation module is used for constructing material flow system evaluation indexes, comparing the result formed by the material flow distribution module with other steel plant material flow indexes in the benchmarking latent data, and generating optimization suggestions and countermeasures for steel plant road traffic planning according to the material flow system evaluation indexes.
The application aims to provide a steel mill road traffic material flow analysis method based on GIS, which comprises the following steps:
generating data basis about the distribution quantity of the material flows of the steel mill by utilizing the attribute information of the steel mill and storing the potential data of the material flow pair indexes of the steel mill;
generating a road network model of a steel mill by using the data basis and an engineering design drawing;
generating a logistics node flow and material flow OD matrix on a steel mill map by using the data basis;
generating a spatial distribution difference diagram of the logistics chain contribution amount and the total distribution amount of the material flow by utilizing a genetic algorithm and an optimal path algorithm based on the material flow OD matrix;
dynamically adjusting the space impedance between supply and demand points of special substances of the steel mill based on the actual conditions of the substance flows of the steel mill or dragging and correcting a certain substance transportation path on a map to generate the final contribution amount of a logistics chain and the total distribution amount of the substance flows;
and constructing a material flow system evaluation index, comparing the result formed by the material flow distribution module with other steel plant material flow indexes in the benchmarking latent data, and generating an optimization proposal and a countermeasure plan of the steel plant road traffic plan according to the material flow system evaluation index.
Another object of the present application is to provide an electronic device, comprising:
one or more processing devices;
a memory for storing one or more programs; when the one or more programs are executed by the one or more processing devices, causing the one or more processing devices to perform the GIS-based steel mill road traffic material flow analysis method.
It is still another object of the present application to provide a computer-readable storage medium having stored thereon a computer program for causing the computer to execute the GIS-based steel mill road traffic material flow analysis method.
As mentioned above, the GIS-based steel mill road traffic substance flow analysis system, method, equipment and medium have the following beneficial effects:
this application starts from the brand-new visual angle of material flow, and the research iron and steel enterprise whole factory material flow law not only can serve the general chart prophase planning of new green space steelworks, also can serve the system optimization of old iron and steel factory, optimizes, provides logistics system optimization and planning direction through steel mill road system and material flow line, has reduced system cost, has promoted system efficiency.
Drawings
FIG. 1 shows a block diagram of a GIS-based steel mill road traffic material flow analysis system provided by the present application;
FIG. 2 is a schematic structural diagram of an embodiment of a GIS-based steel mill road traffic mass flow analysis system provided by the present application;
FIG. 3 shows a GIS-based analysis flow chart of the material flow of steel mill road traffic provided by the present application;
fig. 4 shows a schematic structural diagram of an electronic device provided in the present application.
Detailed Description
The following description of the embodiments of the present application is provided by way of specific examples, and other advantages and effects of the present application will be readily apparent to those skilled in the art from the disclosure herein. The present application is capable of other and different embodiments and of being practiced or being carried out in various ways, and it is capable of other various modifications and changes without departing from the spirit of the present application. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present application, and the drawings only show the components related to the present application rather than the number, shape and size of the components in practical implementation, and the type, amount and ratio of the components in practical implementation may be changed arbitrarily, and the layout of the components may be complicated.
The method for mining the benchmarks is a method for searching and learning the best case and operation mode by comparing the index condition of a certain production process with the advanced index. Therefore, corresponding measures are made, and the effects of cost reduction and efficiency improvement are achieved.
A genetic algorithm, a calculation model of a biological evolution process simulating natural selection and genetic mechanism of Darwinian biological evolution theory, is a method for searching an optimal solution by simulating the natural evolution process.
The optimal path algorithm is a path which satisfies that all vertexes (except a starting point and a terminal point) on the path and all edges are different in the undirected graph, can provide the shortest path between the starting point and the terminal point, saves the transportation cost and greatly improves the traffic transportation efficiency.
Referring to fig. 1, a block diagram of a GIS-based steel mill road traffic material flow analysis system provided in the present application includes:
the database module 1 is used for generating data basis about the distribution quantity of the material flows of the steel mill by utilizing the attribute information of the steel mill and storing the material flow benchmarking potential data of the steel mill;
specifically, when analyzing the material flow in the steel industry, a sufficient amount of collected data needs to be acquired so as to perform analysis processing according to the collected data, for example, by collecting, sorting, storing, and generating data basis of the property information of the steel mill and the material flow generation amount; the data basis comprises steel mill basic geographic information data, steel mill logistics OD (Origin Destination) survey data, transport vehicle statistical data, road basic condition survey data, truck scale basic information survey data, a truck scale weighing meter and supply and demand point geographic coordinate data.
For example, steel mill geographic information data, including steel mill base map information, road geographic information;
for example, steel mill logistics OD survey data, including material origin location, name of transported material, volume of transportation (day/month/year), vehicle type, vehicle tonnage, material destination location;
for example, transportation vehicle statistics, including vehicle model, vehicle tonnage, loading and unloading mode, vehicle usage, job shift;
for example, road base survey data, optionally including road name, road surface width, number of lanes, type of passing vehicles;
for example, truck scale base information research data, optionally including equipment name, weighing range, specifications, location, longitude and latitude, usage;
for example, a truck scale, optionally including a device name, a weighing date, a weighing material, a material start location, a start weighing time, a weighing finish time, a material end location;
for example, the supply and demand point geographic coordinate data comprises the position coordinate information and the name of the material starting point.
It should be noted that the steel plant material flow versus indexing potential data is the established steel plant material flow versus indexing potential data, and includes, for example, material flows of other steel plants.
The road network model generating module 2 is used for generating a road network model of a steel mill according to the data and the engineering design drawing;
specifically, the road network model generation module may establish a steel mill road network model through steel mill geographic information data and imported CAD general diagram data, where the road network model at least includes one or more of the following units:
for adding/modifying/setting a road clearance adjusting unit;
a lane adjusting unit for adding/modifying/setting lane;
the adjusting unit is used for newly adding/modifying/setting a road grade and a road section type;
a lane longitudinal gradient adjusting unit is used for adding/modifying/setting;
the adjusting unit is used for adding/modifying/setting a road traffic capacity;
the cost adjusting unit is used for newly adding/modifying/setting the road traffic cost;
the road section attribute adjusting unit is used for adding/modifying/setting other road section attribute adjusting units.
In this embodiment, each unit can realize a certain small function, which is not described herein again.
The material flow generation module 3 is used for generating material flow node flow and material flow OD matrix on a steel plant map according to the data;
specifically, the material flow generation module can directly generate a material flow node flow rate and a material flow OD matrix on a steel plant map by importing stored data bases.
The material flow distribution module 4 is used for generating a spatial distribution difference diagram of the material flow chain contribution amount and the material flow total distribution amount by utilizing a genetic algorithm, an optimal path algorithm and the like based on the material flow OD matrix;
the optimized search space can be automatically acquired and guided without a determined rule by adopting a probabilistic optimization method through a genetic algorithm, and the search direction can be adaptively adjusted. The traffic and transportation efficiency is greatly improved through an optimal path algorithm. The use of similar algorithm can ensure the generated spatial distribution difference graph of the contribution quantity of the material flow chain and the overall distribution quantity of the material flow, thereby accurately realizing the optimal solution.
Specifically, the material flow distribution module at least comprises one or more of a material flow node flow correction unit, an OD matrix correction unit, a supply and demand point connection road network unit, a newly added supply and demand point connection road network unit, a newly established network data set unit, a network data set loading unit, an OD matrix distribution road network unit, a single material flow distribution checking unit and a whole road network material flow distribution checking unit;
it should be noted that the logistics node flow correction unit can correct the flow by clicking the position of the logistics node on the map;
for example, the OD matrix modification unit may modify the OD matrix by modifying the OD matrix table;
for example, the supply and demand points are connected with the road network units, and at least the supply and demand points can be connected to the road network nodes;
for example, newly added supply and demand points are connected to the road network unit, at least the supply and demand points can be manually added on a map and connected to road network nodes;
for example, a network data set unit is newly built, namely a special data structure is formed, and important characteristics of a transportation system and facilities can be stored according to road network information;
for example, the network data set loading unit may load the established network data set;
for example, the OD matrix allocates a road network unit, allocates the traffic between each OD pair to the road network according to the travel time or impedance of the selectable path, and is used for estimating the traffic or traffic volume on the road network;
for example, a single material flow distribution viewing unit that can view at least a transport route and a transport amount of a certain material on a map;
for example, the whole road network material flow distribution checking unit can at least appropriately process the obtained traffic distribution result distribution map, so that the traffic distribution condition of each road section can be visually displayed through the color, the width and the like of the lines.
The material flow distribution module 5 is used for dynamically adjusting the space impedance between special material supply and demand points of the steel mill or dragging and correcting a certain material transportation path on a map to generate the final material flow chain contribution amount and the material flow total distribution amount based on the actual material flow condition of the steel mill;
specifically, the material flow distribution module at least comprises one or more of a network data set road network resistance setting unit, a single material transportation path dragging and changing path unit, a single material flow distribution checking unit and a whole road network material flow distribution checking unit.
It should be noted that, the network data set road network blocking strength setting unit is suitable for at least pointing and setting road network blocking points on a map to limit the transportation limit of a certain substance; the single-material transportation path dragging and changing path unit is suitable for dragging the transportation path of a certain material on a map at least to change the transportation path; a single substance flow distribution viewing unit adapted to view at least a new transport path and a transport volume of a substance on a map; the whole road network material flow distribution checking unit is suitable for at least carrying out appropriate processing on the obtained new traffic distribution result distribution diagram, so that the traffic distribution condition of each road section can be visually displayed through the color, the width and the like of the lines.
And the material flow evaluation module 6 is used for constructing material flow system evaluation indexes, comparing the result formed by the material flow distribution module with other steel plant material flow indexes in the benchmarking latent data, and generating optimization suggestions and countermeasures for steel plant road traffic planning according to the material flow system evaluation indexes.
Specifically, the material flow evaluation module at least comprises one or more of a road network structure rationality analysis unit, a road design rationality analysis unit, an intersection/entrance passage capacity analysis unit, a truck scale layout optimization unit, a special material special channel suggestion unit, a longitudinal gradient suggestion analysis unit and a transportation turnover amount benchmarking unit; the units are mainly based on a steel plant material flow benchmarking potential database established in a database module, combine material flow data characteristics, construct material flow system evaluation indexes by referring to material flow analysis results of steel industries at home and abroad, and analyze and give various analysis module suggestions by a material flow system performance evaluation method.
Referring to fig. 2, for the schematic structural diagram of an embodiment of a steel mill road traffic mass flow analysis system based on a GIS provided in the present application, optimization of a steel mill road system and a material flow line, and optimization and planning of a material flow system can be implemented by combining the schematic structural diagram of fig. 1, so as to achieve the effects of reducing system cost and improving efficiency, which are detailed as follows:
first, the current situation investigation, the collected data is imported into the database module (storage module)
And performing on-site investigation, and collecting, sorting, storing and generating data of basic attribute information of the steel mill, the material flow generation amount and the like to form a data warehouse.
Second, building steel mill road network model
The existing engineering drawing in the database module is imported into the road network model generation module as required to generate a steel mill road network, and the operation characteristics and traffic adaptability of different roads of a steel mill are identified by setting the road grade, clearance, traffic capacity, road length and other steel mill road attributes.
Third, the product flow OD matrix
And extracting a steel mill logistics OD table by using the material flow generation amount data in the database module, wherein the OD table at least comprises the data of material transportation starting point ID numbers, end point ID numbers and transportation amount, and each material exclusively uses one row in the table. The OD table is then converted into an OD matrix. And generating a logistics node flow and a material flow OD diagram on a steel mill map through the OD matrix table and the supply and demand point geographical position data.
Material flow distribution module
And correcting the OD matrix and the flow according to the actual situation through the logistics node flow and the material flow OD diagram generated on the steel plant map. And meanwhile, connecting the supply and demand points to a steel mill road network, creating a network data set, and generating a traffic cost model based on road attributes in the network data set according to the road attributes. And distributing the traffic between each OD pair to the road network according to the travel time of the optional path or the cost model impedance and the model algorithm.
Fifthly, dynamically adjusting material flow distribution
And checking the preliminary substance flow distribution condition through the single substance flow distribution checking function of the substance flow distribution module. Meanwhile, the material flow distribution is dynamically adjusted in a mode of dragging the transportation path on the map according to the special transportation path requirement of the special material to change the transportation path, and pointing and setting road network blocking points on the map according to the actual situation to limit the transportation path of the material. And forming the final material flow distribution quantity. Meanwhile, the distribution diagram of the obtained material flow distribution result is properly processed, so that the distribution condition of the transportation amount of each road section can be visually displayed through line color, width and the like, and a quantitative analysis report is obtained.
Sixth, by means of benchmarking and the like, a steel mill road planning guidance suggestion is provided
And evaluating the material flow operation quality of the road network in the current situation according to the transportation quantity distribution situation diagram of each road section and the final material flow distribution quantity, and performing benchmarking with the material flow of the steel plant established in the database module. The improvement scheme is considered from the aspects of (1) whether the road network structure is reasonable and whether a new road channel is needed, (2) whether the road design can meet the requirements of vehicles, (3) whether the intersection position, the management form and the like are reasonable, (4) whether the entrance position, the management form and the like are reasonable, (5) whether a special channel needs to be arranged, (6) whether the turning radius, the longitudinal gradient and the like can meet the requirements and the like, recommended opinions are provided through comparison and selection, and a final report is formed.
In the embodiment, the current road network operation quality of the steel mill is evaluated by analyzing the road traffic condition and the material flow distribution quantity of the steel mill, and meanwhile, compared with the material flow benchmarking potential data of other steel mills, the optimization of a steel mill road system and a material flow line and the suggestion of the optimization and planning direction of a material flow system can be provided, the system operation cost can be greatly reduced, and the work efficiency is improved; important basis can be provided for establishing refined production management; in addition, the method starts from a brand new view of material flow, researches the material flow rule of the whole plant of the iron and steel enterprise, and not only can serve the prophase planning of a general diagram of a newly-built green space steel plant, but also can serve the system optimization of an old iron and steel plant.
Referring to fig. 3, a flowchart of a method for analyzing the material flow of steel mill road traffic based on GIS provided by the present application includes:
step S1, generating data basis about the distribution quantity of the material flow of the steel mill and storing the potential data of the material flow pair standard excavation of the steel mill by utilizing the attribute information of the steel mill;
the data basis comprises steel mill basic geographic information data, steel mill logistics OD survey data, transport vehicle statistical data, road basic condition survey data, truck scale basic information survey data, a truck scale weighing table and supply and demand point geographic coordinate data.
Step S2, generating a road network model of a steel mill by using the data according to the engineering design drawing;
step S3, generating a logistics node flow and a material flow OD matrix on a steel mill map by using the data;
it should be noted that step S2 and step S3 are not executed in sequence, and step S2 and step S3 may be executed simultaneously according to step S1;
step S4, generating a spatial distribution difference diagram of the logistics chain contribution amount and the total distribution amount of the material flow by utilizing a genetic algorithm and an optimal path algorithm based on the material flow OD matrix;
step S5, based on the actual condition of material flow in steel mill, dynamically adjusting the space impedance between supply and demand points of special materials in steel mill or dragging and correcting a certain material transportation path on a map to generate the final material flow chain contribution amount and the total material flow distribution amount;
and S6, constructing material flow system evaluation indexes, comparing the result formed by the material flow distribution module with other steel plant material flow indexes in the benchmarking potential data, and generating optimization suggestions and countermeasures for steel plant road traffic planning according to the material flow system evaluation indexes.
It should be further noted that the steel mill road traffic substance flow analysis method based on the GIS and the steel mill road traffic substance flow analysis system based on the GIS are in a one-to-one correspondence relationship, and here, technical details and technical effects related to the steel mill road traffic substance flow analysis method based on the GIS are the same, which are not repeated herein, please refer to the above steel mill road traffic substance flow analysis system based on the GIS.
Referring now to fig. 4, a schematic diagram of an electronic device (e.g., a terminal device or server 700) suitable for implementing embodiments of the present disclosure is shown, where the terminal device in embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet), a PMP (portable multimedia player), a vehicle-mounted terminal (e.g., a car navigation terminal), etc., and a fixed terminal such as a digital TV, a desktop computer, etc. the electronic device shown in fig. 4 is only one example and should not bring any limitations to the function and scope of use of the embodiments of the present disclosure.
As shown in fig. 4, the electronic device 700 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 701 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage means 708 into a Random Access Memory (RAM) 703. The RAM703 also stores various programs and data necessary for the operation of the electronic apparatus 700. The processing device 701, the ROM702, and the RAM703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
Generally, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the electronic device 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 700 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communication means 709, or may be installed from the storage means 708, or may be installed from the ROM 702. The computer program, when executed by the processing device 701, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: the method of the above-described steps S1 to S6 is performed.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
To sum up, this application starts from the brand-new visual angle of material flow, researches steel enterprise's whole factory material flow law, can not only serve in the general chart prophase planning of newly-built green space steelworks, also can serve in the system optimization of old factory of steel, through optimizing steel mill road system and logistics line, propose logistics system optimization and planning direction, reduced system's running cost and promoted system operating efficiency.
The above embodiments are merely illustrative of the principles and utilities of the present application and are not intended to limit the application. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present application. Accordingly, it is intended that all equivalent modifications or changes which may be accomplished by those skilled in the art without departing from the spirit and scope of the present disclosure be covered by the claims which follow.
Claims (10)
1. A steel mill road traffic material flow analysis system based on GIS is characterized by comprising:
the database module is used for generating data basis about the distribution quantity of the material flows of the steel mill by utilizing the attribute information of the steel mill and storing the material flow benchmarking potential data of the steel mill;
the road network model generating module is used for generating a road network model of a steel mill according to the data and the engineering design drawing;
the material flow generation module is used for generating material flow node flow and material flow OD matrixes on a steel mill map according to the data;
the material flow distribution module is used for generating a spatial distribution difference diagram of the material flow chain contribution amount and the material flow total distribution amount by utilizing a genetic algorithm and an optimal path algorithm based on the material flow OD matrix;
the material flow distribution module dynamically adjusts the space impedance between supply and demand points of special materials of the steel mill or drags and corrects a certain material transportation path on a map to generate the final material flow chain contribution amount and the material flow total distribution amount based on the actual condition of the material flow of the steel mill;
and the material flow evaluation module is used for constructing material flow system evaluation indexes, comparing the result formed by the material flow distribution module with other steel plant material flow indexes in the benchmarking latent data, and generating optimization suggestions and countermeasures for the steel plant road traffic planning according to the material flow system evaluation indexes.
2. The GIS-based steel mill road traffic mass flow analysis system according to claim 1, wherein the data bases include steel mill basic geographic information data, steel mill logistics OD survey data, transportation vehicle statistical data, road base condition survey data, truck scale basic information survey data, truck scale weighing tables and supply and demand point geographic coordinate data.
3. The GIS-based steel mill road traffic mass flow analysis system according to claim 1 or 2, wherein the road network model generation module comprises a clearance adjustment unit, a lane adjustment unit, a road traffic adjustment unit, a traffic cost adjustment unit and a road attribute adjustment unit which adjust a road network attribute table by adding/modifying/setting road network related information.
4. The GIS-based steel mill road traffic material flow analysis system according to claim 1 or 2, wherein the material flow distribution module at least comprises one or more of a material flow node correction unit, an OD matrix correction unit, a supply and demand point connection road network unit, a newly added supply and demand point connection road network unit, a newly built network data set unit, a network data set loading unit, an OD matrix distribution road network unit, a single material flow distribution viewing unit and an entire road network material flow distribution viewing unit.
5. The GIS-based steel mill road traffic material flow analysis system according to claim 1 or 2, wherein the material flow distribution module at least comprises one or more of a network data set road network resistance setting unit, a single material transportation path dragging and changing path unit, a single material flow distribution and checking unit and a whole road network material flow distribution and checking unit.
6. The GIS-based steel mill road traffic mass flow analysis system according to claim 1 or 2, wherein the mass flow evaluation module at least comprises one or more of a road network structure rationality analysis unit, a road design rationality analysis unit, an intersection/entrance passage capacity analysis unit, a truck scale layout optimization unit, a special material dedicated channel suggestion unit, a longitudinal gradient suggestion analysis unit and a transportation turnover number benchmarking unit.
7. A steel mill road traffic material flow analysis method based on GIS is characterized by comprising the following steps:
generating data basis about the distribution quantity of the material flows of the steel mill by utilizing the attribute information of the steel mill and storing the potential data of the material flow pair indexes of the steel mill;
generating a road network model of a steel mill by using the data basis and an engineering design drawing;
generating a logistics node flow and material flow OD matrix on a steel mill map by using the data basis;
generating a spatial distribution difference diagram of the logistics chain contribution amount and the total distribution amount of the material flow by utilizing a genetic algorithm and an optimal path algorithm based on the material flow OD matrix;
dynamically adjusting the space impedance between supply and demand points of special substances of the steel mill based on the actual conditions of the substance flows of the steel mill or dragging and correcting a certain substance transportation path on a map to generate the final contribution amount of a logistics chain and the total distribution amount of the substance flows;
and constructing a material flow system evaluation index, comparing the result formed by the material flow distribution module with other steel plant material flow indexes in the benchmarking latent data, and generating an optimization suggestion and a countermeasure of the steel plant road traffic plan according to the material flow system evaluation index.
8. The GIS-based steel mill road traffic mass flow analysis method according to claim 7, wherein the data bases include steel mill basic geographic information data, steel mill logistics OD survey data, transportation vehicle statistical data, road base condition survey data, truck scale basic information survey data, truck scale weighing tables and supply and demand point geographic coordinate data.
9. An electronic device, characterized in that: the method comprises the following steps:
one or more processing devices;
a memory for storing one or more programs; when executed by the one or more processing devices, cause the one or more processing devices to implement the GIS-based steel mill road traffic stream analysis method of claim 7 or 8.
10. A computer-readable storage medium having stored thereon a computer program for causing a computer to execute the GIS-based steel mill road traffic material flow analysis method of claim 7 or 8.
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