A method, apparatus, device, and storage medium for constructing a freight map.

Abstract

This application provides a method, apparatus, device, and storage medium for constructing a freight map, relating to the field of road freight technology. A method for constructing a freight map includes: determining profile indicators corresponding to multiple transport capacity elements in the freight map, the profile indicators including a relationship graph of the corresponding transport capacity elements; acquiring basic business data and preprocessing the basic business data to determine multiple thematic domains; calculating profile data in the multiple thematic domains based on the profile indicators and the preprocessed basic business data; and integrating the profile data in the multiple thematic domains with a preset GIS map based on the relationship graph to generate multiple layers of the freight map. According to embodiments of this application, the correlation statistics and analysis of data between different transport capacity element subjects can be realized.

Description

Technical Field

[0001] This application relates to the field of road freight technology, and more specifically, to a method, apparatus, device, and storage medium for constructing a freight map. Background Technology

[0002] With the development of information technology in large steel production enterprises, these enterprises have accumulated a large amount of data in the logistics and transportation process (such as waybill information, vehicle information, receiving and dispatching station information, carrier information, driver information, transportation trajectory information, etc.). However, this data is often scattered in different systems, making it impossible for enterprises to conduct a complete and effective analysis of the overall logistics operation. Summary of the Invention

[0003] According to one aspect of this application, a method for constructing a freight map is provided, comprising: determining profile indicators corresponding to multiple capacity elements in the freight map, wherein the profile indicators include a relationship graph of the corresponding capacity elements; acquiring basic business data and preprocessing the basic business data to determine multiple thematic domains; calculating profile data in the multiple thematic domains based on the profile indicators and the preprocessed basic business data; and integrating the profile data in the multiple thematic domains with a preset GIS map based on the relationship graph to generate multiple layers of the freight map.

[0004] According to some embodiments, the process of determining the profile indicators corresponding to multiple capacity elements in a freight map includes: obtaining the correlation between multiple capacity elements; and constructing a relationship graph based on the correlation.

[0005] According to some embodiments, basic business data is acquired and preprocessed to determine multiple subject areas, including: standardizing the basic business data according to a preset data format; integrating the standardized basic business data to form a business dataset; and determining multiple subject areas and their corresponding business datasets.

[0006] According to some embodiments, determining multiple subject domains and their corresponding business datasets includes: obtaining business links and / or indicator systems in the business datasets; determining multiple subject domains based on the business links and / or indicator systems; and dividing the business datasets based on the multiple subject domains, such that the divided business datasets correspond to the multiple subject domains.

[0007] According to some embodiments, based on profile metrics and preprocessed basic business data, profile data in multiple subject domains is calculated; including: determining the correspondence between multiple subject domains and profile metrics; and, based on the correspondence, calculating profile data in multiple subject domains based on the segmented business dataset.

[0008] According to some embodiments, based on a relationship graph, profile data from multiple subject domains and a preset GIS map are integrated to generate multiple layers of a freight map, including: constructing multiple layers of a freight map in a GIS map based on multiple transport capacity elements; associating profile data from multiple subject domains and multiple layers of the freight map based on a relationship graph; configuring the multiple layers of the freight map that have been data-associated to display information corresponding to multiple transport capacity elements to users through the freight map.

[0009] According to some embodiments, multiple layers of a freight map that have been data-associated are configured to display information corresponding to multiple transport capacity elements to users through the freight map, including: setting up data query interfaces corresponding to multiple layers of the freight map based on profile data in multiple thematic domains; obtaining information corresponding to multiple transport capacity elements through the data query interfaces in response to user operation information; and setting up links corresponding to the information corresponding to multiple transport capacity elements in multiple layers of the freight map to display the information corresponding to multiple transport capacity elements.

[0010] According to one aspect of this application, a freight map construction apparatus is provided, comprising: an indicator setting module for determining profile indicators corresponding to multiple capacity elements in the freight map, wherein the profile indicators include a relationship graph of the corresponding capacity elements; a data processing module for acquiring basic business data and preprocessing the basic business data to determine multiple thematic domains; a data calculation module for calculating profile data in the multiple thematic domains based on the profile indicators and the preprocessed basic business data; and an interactive display module for integrating the profile data in the multiple thematic domains and a preset GIS map based on the relationship graph to generate multiple layers of the freight map.

[0011] According to one aspect of this application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs; and, when the one or more programs are executed by the one or more processors, causing the one or more processors to perform the method as described above.

[0012] According to one aspect of this application, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the method as described above.

[0013] According to the embodiments of this application, a freight map can be constructed through the profile data of different transport capacity elements, which can intuitively query and analyze the distribution of transport capacity, the flow of goods and the operation of transport nodes, providing effective support for the company's operational decisions.

[0014] It should be understood that the above general description and the following detailed description are merely exemplary and do not limit this application. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application.

[0016] Figure 1 A flowchart illustrating a method for constructing a freight map according to an example embodiment of this application is shown.

[0017] Figure 2 A schematic diagram of a freight map construction apparatus according to an example embodiment of this application is shown.

[0018] Figure 3 A block diagram of an electronic device according to an example embodiment of this application is shown. Detailed Implementation

[0019] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that this application will be thorough and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted.

[0020] The described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a full understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of these specific details, or other methods, components, materials, apparatus, or operations may be employed. In these cases, well-known structures, methods, apparatuses, implementations, materials, or operations will not be shown or described in detail.

[0021] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0022] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0023] This application provides a method, apparatus, device, and storage medium for constructing a freight map, which can realize the correlation, statistics, and analysis of data between different transport capacity elements through the freight map.

[0024] The following will describe in detail, with reference to the accompanying drawings, a method, apparatus, device, and storage medium for constructing a freight map according to embodiments of this application.

[0025] Figure 1 A flowchart illustrating a method for constructing a freight map according to an example embodiment of this application is shown.

[0026] like Figure 1 As shown, in step S100, the profile indicators corresponding to the multiple capacity elements in the freight map are determined.

[0027] For example, in step S100, the construction device determines the profile indicators corresponding to multiple capacity elements in the freight map, and constructs a relationship map of the capacity elements based on the correlation between the multiple capacity elements.

[0028] According to some embodiments, multiple capacity elements in a freight map include vehicles, carriers, stations, and routes.

[0029] The construction device determines the profile indicators corresponding to multiple capacity elements in the freight map. Among them, the profile indicators can be divided into categories such as vehicle profile, carrier profile, station profile, and route profile according to the capacity elements.

[0030] According to some implementation examples, the content of vehicle profile indicators is shown in Table 1.

[0031] Table 1

[0032] According to some implementation examples, the content of carrier profile indicators is shown in Table 2.

[0033] Table 2

[0034] According to some implementation examples, the content of site profile metrics is shown in Table 3.

[0035] Table 3

[0036] According to some implementation examples, the content of the line profile indicators is shown in Table 4.

[0037] Table 4

[0038] Based on the contents of Tables 1 to 4, the device can obtain the relationships between multiple transportation capacity elements and construct a relationship graph of these elements. For example, a certain transport vehicle has corresponding cooperating carriers and stations, and is associated with a certain route.

[0039] In step S200, basic business data is acquired and preprocessed to determine multiple subject domains.

[0040] For example, in step S200, the construction device obtains basic business data from different data sources and preprocesses it to determine multiple subject domains.

[0041] The construction device obtains basic business data from multiple different data sources.

[0042] According to some embodiments, the data source includes ODS, business database, logs, and external data. The construction device can obtain basic business data through preset rules (such as table structure, field meaning, and primary key rules), and obtain the data volume, update frequency, and quality of the basic business data.

[0043] The construction device standardizes basic business data according to a preset data format.

[0044] According to some implementations, the standardization of basic business data includes field naming conventions (such as camelCase / underscore, standardized fields, dimension names, etc.), unified encoding (geographical codes, vehicle models, status codes, administrative divisions, etc.), time format standardization, enumeration value normalization, as well as error value removal, anomaly repair, compliance verification, etc.

[0045] The construction device integrates standardized basic business data to form a business dataset.

[0046] According to some embodiments, the construction device integrates basic business data from multiple different data sources that have been standardized and formed a complete business dataset.

[0047] The device acquires business links and / or indicator systems from the business dataset and uses them to determine multiple subject areas.

[0048] According to some implementations, the subject domain can be divided into vehicle subject domain, carrier subject domain, and station subject domain, etc., according to the business chain. Alternatively, the subject domain can be divided into mileage subject domain, waybill subject domain, and business type subject domain, etc., according to the indicator system.

[0049] The construction device divides the business dataset based on multiple subject domains, so that the divided business dataset corresponds to multiple subject domains.

[0050] According to some embodiments, after dividing the business dataset based on multiple subject domains, the construction device configures the basic business data (including master data, dictionary tables, dimension tables, and fact tables, etc.) into the divided dataset and completes the missing fields (such as geographical names, categories, and administrative regions, etc.).

[0051] In step S300, based on the profile indicators and the preprocessed basic business data, profile data in multiple subject domains are calculated.

[0052] For example, in step S300, the construction device calculates the image data in multiple subject domains based on the correspondence between multiple subject domains and image indicators.

[0053] The construction device determines the correspondence between multiple subject domains and profiling indicators.

[0054] According to some embodiments, based on the profile indicators corresponding to multiple determined capacity elements, and multiple subject areas determined according to business links and / or indicator systems, the construction device obtains the correspondence between multiple subject areas and profile indicators.

[0055] Based on the correspondence between multiple subject domains and profile metrics, the device calculates profile data in multiple subject domains based on the divided business dataset.

[0056] According to some implementations, topic domain profile data can be calculated using Spark or Flink SQL tools. The calculation of topic domain profile data includes profile metric calculation (e.g., mileage, number of waybills, operating time, etc.) and statistical aggregation (e.g., daily / monthly / regional / business type operating data).

[0057] In step S400, based on the relationship graph, the portrait data in multiple subject domains and the preset GIS map are integrated to generate multiple layers of the freight map.

[0058] For example, in step S400, the construction device constructs multiple layers of a freight map in a preset GIS map, and associates the image data in multiple subject areas with multiple layers according to the relationship map of transport capacity elements.

[0059] Based on multiple capacity elements of the freight map, the construction device constructs multiple layers of the freight map in a preset GIS map.

[0060] According to some embodiments, based on multiple capacity elements of a freight map, the construction device can construct capacity layers, route layers, and station layers in a preset GIS map.

[0061] Based on the relationship graph of transport capacity elements, the construction device associates profile data from multiple thematic domains with multiple layers of the freight map. For example, profile data from the vehicle thematic domain is associated with the transport capacity layer, and profile data from the station thematic domain is associated with the station layer, etc.

[0062] Based on the profile data in multiple subject domains, a data query interface is constructed corresponding to multiple layers of the freight map set by the device.

[0063] According to some implementations, the data query interface for each layer in the freight map is set based on transport capacity elements. It can support filtering of different transport capacity elements and summarizing statistical data of transport capacity elements within a region, and output the latitude and longitude of the corresponding station, route, vehicle location area and detailed address. The data query interface for each layer is shown in Table 5.

[0064] Table 5

[0065] In response to user operation information, the device obtains information corresponding to multiple transportation capacity elements through a data query interface.

[0066] According to some embodiments, the construction device performs inverse address parsing on the location information of the main components of relevant transportation capacity elements and presents it on a front-end map. Based on the user's operation information on the front-end map, the construction device obtains the information corresponding to the relevant transportation capacity elements through the corresponding data query interface. For example, based on the latitude and longitude information returned by the data query interface of the relevant route layer, station layer, and transportation capacity layer, the construction device can display the corresponding coordinate points on the front-end GIS map.

[0067] The device constructs links in multiple layers of the freight map to information corresponding to multiple capacity elements, thereby displaying the information corresponding to multiple capacity elements.

[0068] For example, the construction device can set links on the line layer, and while obtaining latitude and longitude information through the data query interface and displaying the corresponding coordinate points on the front-end map, it can also display the links of the corresponding lines and show the corresponding transportation capacity information obtained from the data query interface through the front-end map.

[0069] According to embodiments of this application, a freight map can be constructed using profile data of transport capacity elements, allowing for intuitive querying and analysis of transport capacity distribution, cargo flow, and the operational status of transport nodes.

[0070] Figure 2 A schematic diagram of a freight map construction apparatus according to an example embodiment of this application is shown.

[0071] like Figure 2 As shown, the construction device 100 includes an indicator setting module 110, a data processing module 120, a data calculation module 130, and an interactive display module 140.

[0072] The indicator setting module 110 determines the profile indicators corresponding to multiple capacity elements in the freight map.

[0073] The indicator setting module 110 obtains the correlation between multiple capacity elements and uses it to construct a relationship graph of capacity elements.

[0074] The data processing module 120 obtains basic business data from multiple different data sources.

[0075] The data processing module 120 standardizes the basic business data according to the preset data format.

[0076] The data processing module 120 integrates the standardized basic business data to form a business dataset.

[0077] The data processing module 120 acquires the business links and / or indicator systems in the business dataset and uses them to determine multiple subject areas.

[0078] The data processing module 120 divides the business dataset based on multiple subject domains, so that the divided business dataset corresponds to multiple subject domains.

[0079] The data calculation module 130 determines the correspondence between multiple subject areas and profile indicators.

[0080] Based on the correspondence between multiple subject domains and profile metrics, the data calculation module 130 calculates profile data in multiple subject domains based on the divided business dataset.

[0081] Based on multiple capacity elements of the freight map, the interactive display module 140 constructs multiple layers of the freight map in a preset GIS map.

[0082] Based on the relationship graph of transportation capacity elements, the interactive display module 140 associates the profile data in multiple thematic domains with multiple layers of the freight map.

[0083] Based on the profile data in multiple thematic domains, the interactive display module 140 sets up data query interfaces corresponding to multiple layers of the freight map.

[0084] In response to user operation information, the interactive display module 140 obtains information corresponding to multiple transportation capacity elements through the data query interface.

[0085] The interactive display module 140 sets links in multiple layers of the freight map to information corresponding to multiple capacity elements, so as to display the information corresponding to multiple capacity elements.

[0086] Figure 3 A block diagram of an electronic device according to an example embodiment of this application is shown.

[0087] like Figure 3 As shown, the electronic device 600 is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0088] like Figure 3 As shown, the electronic device 600 is manifested in the form of a general-purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different system components (including the storage unit 620 and the processing unit 610), a display unit 640, etc. The storage unit stores program code, which can be executed by the processing unit 610, causing the processing unit 610 to perform the methods described in this specification according to the various exemplary embodiments of this application. For example, the processing unit 610 can perform, for example... Figure 1 The method shown.

[0089] Storage unit 620 may include readable media in the form of volatile storage units, such as random access memory (RAM) 6201 and / or cache memory 6202, and may further include read-only memory (ROM) 6203.

[0090] Storage unit 620 may also include a program / utility 6204 having a set (at least one) program module 6205, such program module 6205 including but not limited to: operating system, one or more application programs, other program modules and program data, each or some combination of these examples may include an implementation of a network environment.

[0091] Bus 630 can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the various bus structures.

[0092] Electronic device 600 can also communicate with one or more external devices 700 (e.g., keyboard, pointing device, Bluetooth device, etc.), and with one or more devices that enable a user to interact with electronic device 600, and / or with any device that enables electronic device 600 to communicate with one or more other computing devices (e.g., router, modem, etc.). This communication can be performed via input / output (I / O) interface 650. Furthermore, electronic device 600 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 660. Network adapter 660 can communicate with other modules of electronic device 600 via bus 630. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0093] Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. The technical solutions according to the embodiments of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, mobile terminal, or network device, etc.) to execute the methods according to the embodiments of this application.

[0094] Software products may employ any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: electrical connections with one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0095] Computer-readable storage media may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable storage medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transfer a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.

[0096] Program code for performing the operations of this application can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can execute entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0097] The aforementioned computer-readable medium carries one or more programs, which, when executed by a device, cause the computer-readable medium to perform the aforementioned functions.

[0098] Those skilled in the art will understand that the above modules can be distributed in the device as described in the embodiments, or they can be modified accordingly and placed in one or more devices that are unique to this embodiment. The modules in the above embodiments can be combined into one module, or they can be further divided into multiple sub-modules.

[0099] The embodiments of this application have been described in detail above. These descriptions are solely for the purpose of helping to understand the method and core ideas of this application. Furthermore, any changes or modifications made by those skilled in the art based on the ideas of this application, its specific implementation methods, and its application scope, are all within the scope of protection of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for constructing a freight map, characterized in that, include: Determine the profile indicators corresponding to multiple capacity elements in the freight map, wherein the profile indicators include the relationship map of the corresponding capacity elements; Acquire basic business data and preprocess the basic business data to determine multiple subject domains; Based on the profile metrics and the preprocessed basic business data, profile data in the multiple subject domains is calculated. Based on the relationship graph, the portrait data in the multiple subject domains and the preset GIS map are integrated to generate multiple layers of the freight map.

2. The method according to claim 1, characterized in that, Determine the profile indicators corresponding to multiple capacity elements in the freight map, including: Obtain the correlation between the multiple transportation capacity elements; Based on the aforementioned relationships, construct the relationship graph.

3. The method according to claim 1, characterized in that, Acquire basic business data and preprocess the basic business data to determine multiple subject areas, including: The basic business data is standardized according to a preset data format. The standardized basic business data is integrated to form a business dataset; Determine the multiple subject domains and their corresponding business datasets.

4. The method according to claim 3, characterized in that, Determining the plurality of subject domains and their corresponding business datasets includes: Obtain the business links and / or indicator systems from the business dataset; The multiple subject areas are determined based on the business links and / or the indicator system; The business dataset is divided based on the multiple subject domains, such that the divided business dataset corresponds to the multiple subject domains.

5. The method according to claim 4, characterized in that, Based on the aforementioned profile metrics and the preprocessed basic business data, profile data in the multiple subject domains is calculated; including: Determine the correspondence between the multiple topic domains and the profile indicators; Based on the correspondence, and using the segmented business dataset, the profile data in the multiple subject domains is calculated.

6. The method according to claim 1, characterized in that, Based on the relationship graph, the image data from the multiple subject domains and the preset GIS map are integrated to generate multiple layers of the freight map, including: Based on the multiple transport capacity elements, construct multiple layers of the freight map in the GIS map; Based on the relationship graph, the portrait data in the multiple subject domains and the multiple layers of the freight map are associated; Configure multiple layers of the freight map that have been data-linked to display information corresponding to the multiple transport capacity elements to the user through the freight map.

7. The method according to claim 6, characterized in that, Configure multiple layers of the freight map that have been data-linked to display information corresponding to the multiple transport capacity elements to the user through the freight map, including: Based on the profile data in the multiple thematic domains, set up data query interfaces corresponding to multiple layers of the freight map; In response to the user's operation information, information corresponding to the multiple capacity elements is obtained through the data query interface; Links are set in multiple layers of the freight map to correspond to information corresponding to the multiple capacity elements, so as to display the information corresponding to the multiple capacity elements.

8. A device for constructing a freight map, characterized in that, include: The indicator setting module is used to determine the profile indicators corresponding to multiple capacity elements in the freight map, and the profile indicators include the relationship map of the corresponding capacity elements. The data processing module is used to acquire basic business data and preprocess the basic business data to determine multiple subject domains; The data calculation module is used to calculate the profile data in the multiple subject domains based on the profile indicators and the preprocessed basic business data. The interactive display module is used to integrate the portrait data in the multiple thematic domains and the preset GIS map based on the relationship graph to generate multiple layers of the freight map.

9. An electronic device, characterized in that, include: One or more processors; Storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1-7.

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