Steel Mill Traffic Flow Fusion Analysis Method, Device, Equipment and Medium Based on Spatiotemporal Distribution Information

Abstract

The present application provides a method, device, equipment and medium for integrated analysis of steel plant traffic flow based on spatio-temporal distribution information. Aiming at the problems of internal road network optimization and internal traffic organization in a steel plant, the method integrates traffic flow theory and process network theory, proposes a representation method for traffic characteristic quantities of the steel plant, divides traffic flow objects and characteristic values of the steel system, and establishes a graph, model and data integrated traffic flow representation model of the steel system. For the existing road logistics system in the steel plant, the present application can discover and diagnose problems in the optimized road system and also reduce the operation cost space; for the proposed system, it can discover the contradiction between the capacity of the road transportation system and the supply of demand, optimize the road transportation system scheme, so as to reduce the in-plant transportation cost, improve the operation efficiency of the steel plant traffic system, not only improve the transportation efficiency in the steel plant, but also reduce the transportation cost.

Description

Technical Field

[0001] The present application relates to the field of iron and steel metallurgy, and particularly to a method, device, equipment and medium for fusing and analyzing steel plant traffic flow based on spatio-temporal distribution information. Background Art

[0002] China is the world's largest steel producer. According to research statistics, about 6 tons of freight transportation is required to produce one ton of steel, and the transportation cost accounts for more than 60% of the logistics cost of the steel plant. Moreover, within the iron and steel enterprises and during the actual production and operation of the steel plant, there are problems such as unreasonable spatial distribution of truck scales, repeated weighing of transportation vehicles, unreasonable weighing content, and unreasonable transportation route planning in the in-plant traffic flow transportation. Summary of the Invention

[0003] In view of the above-mentioned disadvantages of the prior art, the purpose of the present application is to provide a method, device, equipment and medium for fusing and analyzing steel plant traffic flow based on spatio-temporal distribution information, so as to solve the problems of high transportation cost and low transportation efficiency in the steel plant caused by unreasonable planning and scheduling of in-plant transportation in the prior art.

[0004] To achieve the above object and other related objects, the present application provides a method for fusing and analyzing steel plant traffic flow based on spatio-temporal distribution information, including:

[0005] Determining the object types of the steel plant traffic flow based on metallurgical flow engineering and traffic flow theory, where the object types include transportation nodes and transportation facilities;

[0006] Obtaining the current traffic logistics system of the steel plant, and determining the respective object targets corresponding to the transportation nodes and transportation facilities according to the traffic logistics system;

[0007] Performing clustering analysis on the respective object targets corresponding to the transportation nodes and transportation facilities according to the design data, measured terrain data and production operation business data of the steel plant to determine the object attributes of the steel plant traffic flow;

[0008] Extracting traffic flow characteristic quantities of the steel plant according to the object types and object attributes of the steel plant traffic flow;

[0009] Based on the respective object targets corresponding to the transportation nodes and transportation facilities, constructing a basic carrier of the traffic flow characterization model;

[0010] Calculating traffic flow characterization quantities in the traffic flow characteristic quantities, where the traffic flow characterization quantities at least include traffic volume of transportation routes, road capacity, road load and node flow;

[0011] Performing time and space superposition and fusion of the traffic flow characterization quantities in the preset basic carrier according to the spatio-temporal distribution information to generate a traffic flow characterization model.

[0012] In an embodiment of the present application, a traffic flow characterization model is used to load traffic flow characterization quantities to detect whether the road logistics system of the current steel plant is reasonably planned; when it is detected that the road logistics system of the steel plant is not reasonably planned, a detection result of the road logistics system is generated, and corresponding alarm information is generated.

[0013] In an embodiment of the present application, the traffic flow characterization model detects the road logistics system of the steel plant through the degree of balance of road network traffic flow distribution, intersection load, entrance and exit load, smoothness of material transportation paths, warehousing facilities and weighing facilities.

[0014] In an embodiment of the present application, the step of extracting the traffic flow characterization quantities of the steel plant according to the object type and object attributes of the steel plant traffic flow includes:

[0015] Based on the logical operations of traffic flow theory, the transportation nodes and transportation facilities are optimized and configured to determine the spatio-temporal boundary formed by the transportation nodes and transportation facilities, and the object type of the steel plant traffic flow transportation organization is determined according to the spatio-temporal boundary and the optimized transportation nodes and transportation facilities;

[0016] Classify the object types of the steel plant traffic flow transportation organization according to attributes, and divide them into road organization, vehicle organization, node organization and human organization;

[0017] Classify and integrate the attribute information associated with the object types corresponding to the transportation nodes and transportation organizations respectively, and extract the road organization characterization quantities, vehicle organization characterization quantities, node organization characterization quantities and human organization characterization quantities corresponding to the transportation organization based on the actual transportation logic of the steel plant production and operation to obtain the traffic flow characterization quantities of the steel plant.

[0018] In an embodiment of the present application, it further includes:

[0019] Set the transportation nodes, transportation facilities, transportation organizations and corresponding traffic flow states according to the preset symbol styles, and display the traffic flow characterization model of the steel plant.

[0020] In an embodiment of the present application, the transportation nodes at least include the entrances and exits, intersections, level crossings, factory stations, docks, production units, warehouses and truck scales within the steel plant; the transportation facilities at least include the road network and vehicles; wherein, the object attributes of the traffic flow change according to the different object goals corresponding to the transportation nodes and transportation facilities.

[0021] In an embodiment of the present application, the following calculation formulas are used to determine the traffic volume of transportation routes, road capacity, road load and node flow:

[0022] w i =m i / t*PCE (1)

[0023] In formula (1), w i is the traffic volume on the i-th transportation organization route, with the unit of pcu / h; m i is the road freight volume on the i-th transportation organization route, with the unit of t; PCE is the conversion coefficient of standard vehicles;

[0024]

[0025] In formula (2), w is the traffic volume of a specific section, with the unit of pcu / h; i is a certain transportation organization route within the factory; n is the number of all transportation organization routes within the factory that include this section; w n is the traffic volume of the n-th transportation organization route, with the unit of pcu / h;

[0026]

[0027] In formula (3), N m is the designed traffic capacity of a motor vehicle lane, with the unit of pcu / h; N P is the traffic capacity of a section of a motor vehicle lane, with the unit of pcu / h; t i is the average headway time of continuous traffic flow, with the unit of s / pcu; α c is the road classification coefficient of the traffic capacity of the motor vehicle lane;

[0028] P = w / N m * 100% (4)

[0029] In formula (4), P is the road load; and the node flow is calculated using formula (2), where w is the specific node flow, and n is the n-th node connected to this node; w n is the traffic volume of the section between the n-th nodes.

[0030] Another object of the present application is to provide a steel plant traffic flow fusion analysis device based on spatio-temporal distribution information, including:

[0031] An object type determination module, which determines the object type of the steel plant traffic flow based on metallurgical flow engineering and traffic flow theory, and the object type includes transportation nodes and transportation facilities;

[0032] An object target determination module, which is used to obtain the current traffic logistics system of the steel plant and determine the respective object targets of the transportation nodes and transportation facilities according to the traffic logistics system;

[0033] An object attribute determination module, configured to perform clustering analysis on the object targets corresponding to the transportation nodes and transportation facilities respectively according to the design data, measured terrain data, and production operation business data of the steel plant, and determine the object attributes of the traffic flow in the steel plant;

[0034] A feature extraction module, configured to extract traffic flow feature quantities of the steel plant according to the object types and object attributes of the traffic flow in the steel plant;

[0035] A carrier construction module, configured to construct a basic carrier of a traffic flow representation model based on the object targets corresponding to the transportation nodes and transportation facilities respectively;

[0036] A representation quantity determination module, configured to calculate traffic flow representation quantities in the traffic flow feature quantities, where the traffic flow representation quantities at least include transportation route traffic volume, road passing capacity, road load, and node flow;

[0037] A representation model generation module, configured to perform time and space superposition fusion of the traffic flow representation quantities according to the spatio-temporal distribution information on a preset basic carrier, and generate a traffic flow representation model.

[0038] Another object of the present application is to provide an electronic device, including:

[0039] One or more processing devices;

[0040] A memory, configured to store one or more programs; when the one or more programs are executed by the one or more processing devices, the one or more processing devices execute the method for steel plant traffic flow fusion analysis based on spatio-temporal distribution information.

[0041] Another object of the present application is to provide a computer-readable storage medium, on which a computer program is stored, and the computer program is used to cause a computer to execute the method for steel plant traffic flow fusion analysis based on spatio-temporal distribution information.

[0042] As described above, the method, device, equipment, and medium for steel plant traffic flow fusion analysis based on spatio-temporal distribution information of the present application have the following beneficial effects:

[0043] The present application determines whether the road logistics system of the steel plant is reasonably planned through the traffic feature quantity representation method of the steel plant and the constructed traffic flow representation model of the steel plant. For the existing road logistics system of the steel plant, problems in the road system can be discovered and diagnosed for optimization, and the operation cost space can also be reduced; for the planned system, contradictions between the capacity of the road transportation system and the supply of demand can be discovered, and the road transportation system plan can be optimized to achieve the reduction of in-plant transportation costs and the improvement of the operation efficiency of the steel plant traffic system. Description of the Drawings

[0044] Figure 1It shows a flowchart of a method for fusing and analyzing steel plant traffic flow based on spatio-temporal distribution information provided by this application;

[0045] Figure 2 It shows a schematic diagram of the concept and elements of steel plant traffic flow provided by this application;

[0046] Figure 3 It shows a flowchart for generating a traffic flow characterization model provided by this application;

[0047] Figure 4 It shows an analysis diagram of the traffic flow characterization of the existing system of a certain steel plant provided by this application;

[0048] Figure 5 It shows that this application adopts Figure 1 A traffic flow characterization diagram of the new system of a certain steel plant provided by the method;

[0049] Figure 6 It shows a structural block diagram of a device for fusing and analyzing steel plant traffic flow based on spatio-temporal distribution information provided by this application;

[0050] Figure 7 It shows a schematic structural diagram of an electronic device provided by an embodiment of this application. Specific Embodiments

[0051] The following uses specific specific examples to illustrate the implementation manners of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0052] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of this application in a schematic manner. Therefore, only the components related to this application are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The types, quantities, and proportions of the components in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0053] Please refer to Figure 1 , which is a flowchart of a method for fusing and analyzing steel plant traffic flow based on spatio-temporal distribution information provided by this application, including:

[0054] Step S101, determining the object types of the steel plant traffic flow based on metallurgical flow engineering and traffic flow theory, where the object types include transportation nodes and transportation facilities;

[0055] Specifically, the trackless transportation within a steel plant is closely related to the traffic flow theory in the city. However, the combined application of metallurgy and traffic flow theory is less. Although there are various types of traffic flow theory models, few can solve the internal traffic logistics problems of the steel plant system. Generally, there is a lack of research on combining metallurgy and traffic flow theory to solve traffic flow problems in the steel industry.

[0056] For example, the basic object types of the steel plant traffic flow include nodes (transportation nodes) and connectors (transportation facilities).

[0057] Step S102, obtain the current traffic logistics system of the steel plant, and determine the respective object targets of the transportation nodes and transportation facilities according to the traffic logistics system;

[0058] The transportation nodes at least include the entrances and exits, intersections, level crossings, factory stations, docks, production units, warehouses, and truck scales within the steel plant; the transportation facilities at least include the road network and vehicles; among them, the object attributes of the traffic flow change according to the respective object targets of the transportation nodes and transportation facilities.

[0059] For example, the steel plant traffic flow node (transportation node) objects include the plant area entrances and exits, intersections, level crossings, factory stations, docks, production units, warehouses, and truck scales; the connector (traffic facility) objects include the road network and vehicles.

[0060] Step S103, perform cluster analysis on the respective object targets of the transportation nodes and transportation facilities according to the design data, measured terrain data, and production operation business data of the steel plant to determine the object attributes of the steel plant traffic flow;

[0061] Specifically, the object attribute situation of the steel plant system traffic flow is as follows: the attributes of the plant area entrances and exits include location and design capacity; the attributes of intersections include location, intersection form (flat intersection, overpass, etc.), and intersection management method (signal control, yielding, etc.); the attributes of level crossings include location, number of lanes of the level crossing road, lane width, and railway line; the attributes of factory stations include location and design capacity; the attributes of docks include location and design capacity; the single attributes of production units include location and type; the attributes of warehouses include location and warehousing cost; the attributes of truck scales include location; the attributes of the road network include road grade, typical cross-section form, number of lanes and width, non-motorized lane width, sidewalk width, design speed (or restricted speed), sign and marking settings, road distribution, and road width; the attributes of vehicles include the number of vehicles, vehicle operation shift system and model, and vehicle load.

[0062] Step S104, extract the traffic flow characteristic quantities of the steel plant according to the object types and object attributes of the steel plant traffic flow;

[0063] Specifically, based on the logical operations of traffic flow theory, optimize the configuration of the transportation nodes and transportation facilities, determine the spatio-temporal boundary composed of the transportation nodes and transportation facilities, and determine the object types of the steel plant traffic flow transportation organization according to the spatio-temporal boundary and the optimized transportation nodes and transportation facilities;

[0064] Classify the object types of the steel plant traffic flow transportation organization by attributes, and divide them into road organization, vehicle organization, node organization and human organization;

[0065] Classify and integrate the attribute information associated with the object types corresponding to the transportation nodes and transportation organizations respectively, and extract the road organization characteristic quantities, vehicle organization characteristic quantities, node organization characteristic quantities and human organization characteristic quantities corresponding to the transportation organization based on the actual transportation logic of the steel plant production and operation, so as to obtain the traffic flow characteristic quantities of the steel plant.

[0066] Step S105, based on the object goals corresponding to the transportation nodes and transportation facilities respectively, construct the basic carrier of the traffic flow characterization model;

[0067] Specifically, divide the plant entrances and exits and production units into starting points and ending points according to the actual transportation situation, and import their geographical location information into the GIS (Geographic Information System) software; as the map basic carrier of the used characterization quantities; combine the steel plant design data and the on-site road network research, and draw the whole plant road traffic network in the GIS software, which together with the transportation starting point and transportation ending point serves as the basic carrier.

[0068] Step S106, calculate the traffic flow characterization quantities in the traffic flow characteristic quantities, and the traffic flow characterization quantities at least include the traffic volume of the transportation route, the road passing capacity, the road load and the node flow;

[0069] Use the following calculation formulas to determine the traffic volume of the transportation route, the road passing capacity, the road load and the node flow:

[0070] w i =m i / t*PCE (1)

[0071] In formula (1), w i is the traffic volume on the i-th transportation organization route, with the unit of pcu / h; m i is the road freight volume on the i-th transportation organization route, with the unit of t; PCE is the standard vehicle conversion coefficient;

[0072]

[0073] In formula (2), w is the traffic volume of a specific section, with the unit of pcu / h; i is a certain transportation organization route in the plant; n is the number of all transportation organization routes in the plant that include this section; w nis the traffic volume of the nth transportation organization route, with the unit of pcu / h;

[0074]

[0075] In formula (3), N m is the design traffic capacity of a motor vehicle lane, with the unit of pcu / h; N P is the traffic capacity of a section of a motor vehicle lane, with the unit of pcu / h; t i is the average headway time of continuous traffic flow, with the unit of s / pcu; α c is the road classification coefficient of the traffic capacity of the motor vehicle lane;

[0076] P = w / N m * 100% (4)

[0077] In formula (4), P is the road load; and the node flow is calculated using formula (2), where w is the specific node flow and n is the nth node connected to this node; w n is the traffic volume of the section between the nth nodes, that is, using formula (2) can not only calculate the traffic volume of a specific section, but also calculate the flow of a specific node.

[0078] Step S107, superimpose and fuse the traffic flow characterization quantities in time and space according to the spatio-temporal distribution information on a preset basic carrier to generate a traffic flow characterization model.

[0079] Collect and sort traffic characteristic data based on the production database of iron and steel enterprises, superimpose the transportation paths of each material on the road network, obtain the spatio-temporal distribution characteristics of in-plant transportation organization, and complete the modeling of the steel plant traffic flow network.

[0080] Among them, the steel plant traffic flow fusion analysis method based on spatio-temporal distribution information uses traffic flow theory and the "metallurgical process network" to build a traffic flow system database for the steel plant, and based on this, studies the characterization methods and characterization models of traffic characteristic quantities. And through actual application cases, it is confirmed that using the characterization model can, for the existing system of the steel plant, discover and diagnose and optimize road system problems and reduce the space for operating costs; for the proposed system of the steel plant, use the characterization model to carry out supply analysis between the capacity and demand of the road transportation system, and from the perspective of traffic optimization, can provide suggestions for optimizing the road transportation system plan. The metallurgical industry is a typical process manufacturing industry. The cross-research of traffic theory and metallurgy will directly promote the expansion of the functions of the steel manufacturing process and has important reference and significance for other types of process manufacturing industries.

[0081] In this embodiment, the characterization quantities of the steel plant traffic flow characteristics and the establishment of the steel system traffic flow characterization model are refined, where the relevant object types and specific object relationships of the steel plant traffic flow characterization quantities are asFigure 2 As shown; suppliers of raw materials and fuels generate products and by-products through production organizations for sale; in production organizations, transportation nodes include but are not limited to production units, truck scales, etc.; transportation facilities include but are not limited to roads, special vehicles, etc., and transportation organizations include but are not limited to:

[0082] Road organization, including road freight volume, vehicle number, road load rate, and road load imbalance rate;

[0083] Vehicle organization, including vehicle utilization rate, vehicle full load rate, vehicle daily transport volume, and vehicle empty driving rate;

[0084] Node organization, which includes node traffic, node utilization, and organization mode;

[0085] Human organization, including the number of people in the transportation system, labor productivity, and employee wages.

[0086] It should be noted that the characterization model establishment process, such as Figure 3 As shown;

[0087] It should also be noted that Figure 1 The specific examples include steel plant traffic flow object type, specific object division, object attributes, refining representation quantities, creating basic map carriers, superimposing steel plant traffic flow representation quantities, combining spatiotemporal information, setting symbol styles, and establishing traffic flow representation models; the steel plant traffic flow object type is used to clarify the basic components of steel plant traffic flow, and is divided based on the spatiotemporal information characteristics of the steel plant in combination with metallurgical process engineering and traffic flow theory; the steel plant traffic flow specific object is used to clarify the specific components contained in the steel plant traffic flow, and is subdivided according to the actual transportation system within the steel plant; the object attributes are used to clarify the main effective attribute information of the steel plant traffic flow object; the representation quantity is a characteristic quantity used to characterize the spatiotemporal characteristics of the steel plant system traffic flow, and is refined based on the main information of the steel plant traffic flow object; the creation The basic map carrier is to import the two object types of data, traffic nodes and traffic facilities in the steel plant traffic flow into the geographic information system (GIS) software as the basic carrier of the steel plant traffic flow framework and related information; the superimposed steel plant traffic flow representation quantity is to import the extracted representation quantity into the GIS software, and integrate and superimpose it with the map carrier of the steel plant traffic flow formed in the previous step in time and space; finally, by setting the symbol style, the color size and other forms of expression of the traffic flow map carrier and the representation quantity are adjusted according to actual application needs to form a specific steel plant traffic flow representation model, realize the integration of map, model and number, and analyze and evaluate the problems in the steel plant traffic system regarding the balance of road network flow distribution, the load of major intersections and entrances and exits, the smoothness of major material transportation routes, and the rationality of the setting of storage facilities and weighing facilities.

[0088] ReferenceFigure 5 , in Figure 5 , it is a flow chart of a steel plant traffic flow fusion analysis method based on spatio-temporal distribution information. Referring to Figure 4 , it is a traffic flow characterization analysis diagram of an existing system of a certain steel plant provided by this application, which is described in detail as follows:

[0089] Step 1: Define the basic object types of the steel plant traffic flow, which are divided into nodes (transportation nodes) and connectors (transportation facilities);

[0090] Step 2: Define that the main transportation nodes involved are weighbridges and the transportation facilities are vehicles;

[0091] Step 3: Define that the weighbridge attributes include geographical location and weighing times; define that the vehicle attributes include the number of vehicles, license plate numbers, vehicle load, and material transportation type;

[0092] Step 4: Based on the actual application scenario, the transportation organization composed of transportation nodes and transportation facilities is the node organization, and the characteristic quantities are the weighing times of specific materials and the utilization rate of the weighbridge; the operation efficiency of the weighbridge is an important indicator to measure the layout of the weighbridge. The magnitude of the operation efficiency of the weighbridge can reflect the state of the weighbridge as idle or busy. If it is idle, demolition can be considered; if it is busy, new construction can be considered, so as to judge whether the layout of the weighbridge is reasonable. The operation efficiency of the weighbridge includes the capacity utilization rate of the weighbridge and the running time utilization rate of the weighbridge.

[0093] The capacity utilization rate of the weighbridge refers to the ratio of the upper limit of single-vehicle weighing of the weighbridge in a year to the weighing range of the weighbridge. The calculation formula is:

[0094]

[0095] The running time utilization rate of the weighbridge refers to the value obtained by dividing the number of running days of the weighbridge in a year by 365. The calculation formula is

[0096]

[0097] Step 5: Based on the geographical location information of the weighbridge, the design data of the steel plant, and the corresponding geographical information, import them into the GIS software as the map basic carrier of the used characterization quantities;

[0098] Step 6: Perform spatio-temporal overlay of the calculated characterization quantities with the set map carrier;

[0099] Step 7: Configure the display symbol style of the characterization quantities to form a traffic flow characterization model.

[0100] In this embodiment, see Figure 4, a traffic flow characterization analysis diagram of an existing system of a certain steel plant provided by this application. By using a steel plant traffic flow fusion analysis method based on spatio-temporal distribution information, the characterization quantities and characterization models are determined. It is found that there are situations of repeated weighing and unreasonable weighing content in the existing system of a certain steel plant in Shandong. Subsequently, the layout of the weighbridge can be adjusted to improve the weighing efficiency and reduce the vehicle queuing waiting time.

[0101] Step 1: Define the basic object types of the steel plant traffic flow, which are divided into nodes (transportation nodes) and connectors (transportation facilities);

[0102] Step 2: Define that the main transportation nodes involved are the plant entrances and exits, and production units; the transportation facilities are the road network and vehicles;

[0103] Step 3: Define that the attributes of the plant entrances and exits, and production units include geographical location and station name; define the attributes of the road network as road name, material composition, material quantity, and traffic volume; the vehicle attributes include vehicle model, standard vehicle conversion coefficient, vehicle speed, and material transportation type;

[0104] Step 4: Based on the actual application scenario, the transportation organization composed of transportation nodes and transportation facilities is the road organization, and the characteristic quantities are transportation volume, traffic volume, and road load;

[0105] Step 5: Divide the plant entrances and exits, and production units into starting points and ending points according to the actual transportation situation, and import them into the GIS (Geographic Information System) software according to their geographical location information; as the map basic carrier for the used characterization quantities; combined with the steel plant design data and on-site road network research, draw the whole plant road traffic network in the GIS software, and combine the transportation starting point and transportation ending point together as the basic carrier;

[0106] Step 6: Calculate the transportation volume, traffic volume, and road load, and perform spatio-temporal overlay of the calculated characterization quantities with the set map carrier. It can be understood that according to the calculation results of the characterization quantities and the road traffic network, redraw the characterization model diagrams such as the whole plant road network traffic capacity and load;

[0107] Step 7: Configure the display symbol styles of the starting and ending points, road network, and traffic characterization quantities, and finally form a complete traffic flow characterization model.

[0108] Using a steel plant traffic flow fusion analysis method based on spatio-temporal distribution information, through the characterization quantities and characterization models, it is found that the general layout of the newly built Jiangsu Steel Plant will cause bottleneck sections in the road network near Gate 3, such as Figure 4As shown in the figure, the XX Steel Plant has the most continuous casting billet weighing times in the whole plant. The total gross weight times in the whole year of XXX were XX times. For most steel plants such as X1 Steel and X2 Steel, the continuous casting billets are not within the weighing range of the trucks. The total number of weighing items counted by the truck scales in Steel Plant X in year X was 8XXX items, and all these counted items are cross-plant repeated weighing items, and the utilization rate of the western truck scales is particularly low. By adjusting the general layout, adjusting the walking routes of in-plant materials, and redistributing the traffic flow of roads, the turnover of goods can be reduced and traffic congestion can be alleviated.

[0109] Based on the above embodiments, it further includes: loading traffic flow characterization quantities by using a traffic flow characterization model to detect whether the road logistics system of the current steel plant is reasonably planned; when it is detected that the road logistics system of the steel plant is not reasonably planned, generating a detection result of the road logistics system and generating corresponding alarm information.

[0110] Specifically, by constructing a steel system traffic flow characterization model that integrates graph, model, and data, on the one hand, it enables users to intuitively observe the traffic flow characterization quantities of the steel system and timely discover problems such as unreasonableness; on the other hand, using the traffic flow characterization model to load traffic flow characterization quantities to detect whether the road logistics system of the current steel plant is reasonably planned. For example, the traffic flow characterization model detects the road logistics system of the steel plant through parameters such as the balance degree of road network traffic flow distribution, intersection load, entrance and exit load, smoothness of material transportation paths, and storage facilities and weighing facilities.

[0111] During the detection, a preset threshold parameter can be used as a reference for comparison to determine whether the road logistics system is reasonably planned, so as to accurately discover and rectify in a timely manner.

[0112] Based on the above embodiments, it further includes:

[0113] Setting the transportation nodes, transportation facilities, transportation organization, and the corresponding traffic flow states according to a preset symbol style, and displaying the traffic flow characterization model of the steel plant.

[0114] For example, setting the model characterization style; showing the transportation nodes, facilities, organization, and related traffic flow states by setting color filling, line thickness, classification threshold, etc., to achieve the integration of graph, model, and data for easy observation.

[0115] Please refer to Figure 6 , which is a structural block diagram of a steel plant traffic flow fusion analysis device 600 provided by this application; it includes:

[0116] An object type determination module 601, which determines the object type of the steel plant traffic flow based on metallurgical flow engineering and traffic flow theory, and the object type includes transportation nodes and transportation facilities;

[0117] The object target determination module 602 is configured to obtain the current transportation and logistics system of the steel plant, and determine the object targets corresponding to the transportation nodes and transportation facilities respectively according to the transportation and logistics system;

[0118] The object attribute determination module 603 is configured to perform clustering analysis on the object targets corresponding to the transportation nodes and transportation facilities respectively according to the design data, measured terrain data, and production operation business data of the steel plant, and determine the object attributes of the traffic flow in the steel plant;

[0119] The feature extraction module 604 is configured to extract the traffic flow feature quantities of the steel plant according to the object types and object attributes of the traffic flow in the steel plant;

[0120] The carrier construction module 605 is configured to construct the basic carrier of the traffic flow representation model based on the object targets corresponding to the transportation nodes and transportation facilities respectively;

[0121] The representation quantity determination module 606 is configured to calculate the traffic flow representation quantities in the traffic flow feature quantities, and the traffic flow representation quantities at least include the traffic volume of the transportation route, the road passing capacity, the road load, and the node flow;

[0122] The representation model generation module 607 is configured to perform time and space superposition and fusion of the traffic flow representation quantities in the preset basic carrier according to the spatio-temporal distribution information, and generate a traffic flow representation model.

[0123] It should be further noted that the steel plant traffic flow fusion analysis device based on spatio-temporal distribution information and the steel plant traffic flow fusion analysis method based on spatio-temporal distribution information are in a one-to-one correspondence relationship. Here, the technical details and technical effects involved in each module and the above process steps are the same, and will not be elaborated one by one here. Please refer to the above steel plant traffic flow fusion analysis method based on spatio-temporal distribution information.

[0124] Next, refer to Figure 7 , which shows a schematic structural diagram of an electronic device 700 (such as a terminal device or a server) suitable for implementing the embodiments of the present disclosure. The terminal device in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 7 The electronic device shown is only an example and should not impose any limitation on the functions and usage scope of the embodiments of the present disclosure.

[0125] As Figure 7As shown, the electronic device 700 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 701, which may perform various appropriate actions and processes according to a program stored in the read-only memory (ROM) 702 or a program loaded from the storage device 708 into the random access memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the electronic device 700 are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. The input / output (I / O) interface 705 is also connected to the bus 704.

[0126] Generally, the following devices may be connected to the I / O interface 705: an input device 706 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 707 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 708 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 709. The communication device 709 may allow the electronic device 700 to communicate with other devices wirelessly or wiredly to exchange data. Although Figure 7 the electronic device 700 with various devices is shown, it should be understood that it is not required to implement or have all the shown devices. Instead, more or fewer devices may be implemented or had.

[0127] Specifically, according to an embodiment of the present disclosure, the process described above with reference to the flowchart may be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes program codes for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication device 709, or installed from the storage device 708, or installed from the ROM 702. When the computer program is executed by the processing device 701, the above functions defined in the method of the embodiment of the present disclosure are executed

[0128] It should be noted that the above-mentioned computer-readable medium in the present disclosure can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present disclosure, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0129] The above-mentioned computer-readable medium can be included in the above-mentioned electronic device; or it can exist separately without being assembled into the electronic device.

[0130] The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by the electronic device, the electronic device is caused to: execute steps S101 to S107.

[0131] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a 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 may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0132] In summary, the present application determines whether the road logistics system of the steel plant is reasonably planned through the steel plant traffic characteristic quantity characterization method and the constructed steel plant traffic flow characterization model. For the existing road logistics system of the steel plant, it can discover and diagnose and optimize the problems of the road system, and also reduce the operation cost space; for the proposed system, it can discover the contradiction between the capacity of the road transportation system and the supply of demand, optimize the road transportation system plan, so as to achieve the reduction of the in-plant transportation cost and the improvement of the operation efficiency of the steel plant traffic system. Therefore, the present application effectively overcomes various disadvantages in the prior art and has high industrial utilization value.

[0133] The above embodiments are only illustrative of the principles and effects of the present application, and are not intended to limit the present application. Any person familiar with this technology may modify or change the above embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed in the present application should still be covered by the claims of the present application.

Claims

1. A method for integrated analysis of steel plant traffic flow based on spatio-temporal distribution information, characterized in that, The method includes the following steps: Determine the object types of the steel plant traffic flow based on metallurgical flow engineering and traffic flow theory, where the object types include transportation nodes and transportation facilities; Obtain the current traffic logistics system of the steel plant, and determine the respective object goals corresponding to the transportation nodes and transportation facilities according to the traffic logistics system; Perform cluster analysis on the object goals corresponding to the transportation nodes and transportation facilities respectively according to the design data, measured terrain data and production operation business data of the steel plant to determine the object attributes of the steel plant traffic flow; Extract the traffic flow characteristic quantities of the steel plant according to the object types and object attributes of the steel plant traffic flow; Based on the object goals corresponding to the transportation nodes and transportation facilities respectively, construct the basic carrier of the traffic flow representation model; Calculate the traffic flow representation quantities in the traffic flow characteristic quantities, where the traffic flow representation quantities at least include transportation route traffic volume, road passing capacity, road load and node flow; Superpose and fuse the traffic flow representation quantities in terms of time and space on a preset basic carrier according to the spatio-temporal distribution information to generate a traffic flow representation model.

2. The method for integrated analysis of steel plant traffic flow based on spatio-temporal distribution information according to claim 1, wherein It further includes: using the traffic flow representation model to load the traffic flow representation quantities to detect whether the current road logistics system of the steel plant is reasonably planned; when it is detected that the road logistics system of the steel plant is not reasonably planned, generate a detection result of the road logistics system and generate corresponding alarm information.

3. The method for integrated analysis of steel plant traffic flow based on spatio-temporal distribution information according to claim 2, wherein The traffic flow representation model detects the road logistics system of the steel plant through the road network flow distribution balance degree, intersection load, entrance and exit load, smoothness of the material transportation path, storage facilities and weighing facilities.

4. The method for integrated analysis of steel plant traffic flow based on spatio-temporal distribution information according to claim 1, characterized in that The step of extracting the traffic flow characteristic quantities of the steel plant according to the object types and object attributes of the steel plant traffic flow includes: Based on the logical operation of traffic flow theory, optimize the configuration of the transportation nodes and transportation facilities, determine the spatio-temporal boundary formed by the transportation nodes and transportation facilities, and determine the object types of the steel plant traffic flow transportation organization according to the spatio-temporal boundary and the optimized transportation nodes and transportation facilities; Classify the object types of the steel plant traffic flow transportation organization according to attributes, and divide them into road organization, vehicle organization, node organization and human organization; Classify and integrate the attribute information associated with the respective object types of the transportation nodes and transportation organizations, and extract the road organization characteristic quantities, vehicle organization characteristic quantities, node organization characteristic quantities and human organization characteristic quantities corresponding to the transportation organization based on the actual transportation logic of the steel plant production operation to obtain the traffic flow characteristic quantities of the steel plant.

5. The method for integrated analysis of steel plant traffic flow based on spatio-temporal distribution information according to claim 1, characterized in that It further includes: Set the transportation nodes, transportation facilities, transportation organizations and the corresponding traffic flow states according to a preset symbol style, and display the traffic flow representation model of the steel plant.

6. The method for integrated analysis of steel plant traffic flow based on spatio-temporal distribution information according to claim 1, wherein The transportation nodes at least include the entrances and exits, intersections, level crossings, factory stations, docks, production units, warehouses and truck scales within the steel plant; the transportation facilities at least include the road network and vehicles; among them, the object attributes of the traffic flow change according to the different object goals corresponding to the transportation nodes and transportation facilities respectively.

7. The method for integrated analysis of steel plant traffic flow based on spatio-temporal distribution information according to claim 1, wherein Use the following calculation formulas to determine the transportation route traffic volume, road passing capacity, road load and node flow: w i = m i / t * PCE(1) In formula (1), w i is the traffic volume on the \(i\)-th transportation organization route, with the unit of pcu / h; m i is the road freight volume on the \(i\)-th transportation organization route, with the unit of t; PCE is the standard vehicle conversion factor; In formula (2), w is the traffic volume of a specific road section, with the unit of pcu / h; i is a transportation organization route within the factory; n is the number of all transportation organization routes within the factory that include this road section; w n is the traffic volume of the nth transportation organization route, with the unit of pcu / h; In formula (3), N m is the designed traffic capacity of a motor vehicle lane, with the unit of pcu / h; N P is the traffic capacity of a section of a motor vehicle lane, with the unit of pcu / h; t i is the average headway time of continuous traffic flow, with the unit of s / pcu; α c is the road classification coefficient of the traffic capacity of the motor vehicle lane; P = w / N m * 100% (4) In Equation (4), P is the road load; and the node flow is calculated using Equation (2), where w is the specific node flow and n is the nth node connected to this node; w n is the traffic volume of the road section between the nth nodes.

8. A steel plant traffic flow fusion analysis device based on spatio-temporal distribution information, characterized in that, The device includes: An object type determination module that determines the object types of the steel plant traffic flow based on metallurgical flow engineering and traffic flow theory, where the object types include transportation nodes and transportation facilities; An object target determination module that is used to obtain the current traffic logistics system of the steel plant and determine the respective object targets of the transportation nodes and transportation facilities according to the traffic logistics system; An object attribute determination module that is used to perform cluster analysis on the respective object targets of the transportation nodes and transportation facilities according to the design data, measured terrain data, and production operation business data of the steel plant to determine the object attributes of the steel plant traffic flow; A feature extraction module that is used to extract the traffic flow feature quantities of the steel plant according to the object types and object attributes of the steel plant traffic flow; A carrier construction module that is used to construct the basic carrier of the traffic flow representation model based on the respective object targets of the transportation nodes and transportation facilities; A representation quantity determination module that is used to calculate the traffic flow representation quantities in the traffic flow feature quantities, where the traffic flow representation quantities at least include transportation route traffic volume, road traffic capacity, road load, and node flow; A representation model generation module that is used to perform time and space superposition and fusion of the traffic flow representation quantities in the preset basic carrier according to the spatio-temporal distribution information to generate a traffic flow representation model.

9. An electronic device, characterized in that: 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, the one or more processing devices implement the steel plant traffic flow fusion analysis method according to any one of 1 to 7 based on spatio-temporal distribution information.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program is used to cause the computer to execute the steel plant traffic flow fusion analysis method according to any one of claims 1 to 7 based on spatio-temporal distribution information.

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