A transport resource management system and method

Abstract

The application discloses a kind of transport capacity resource management system and method, it is related to logistics management and information technology field, the system includes label library module, label binding module, label visualization module and transport capacity calculation module.Label library contains multiple labels and its attribute information, label binding module is automatically bound corresponding label for transport capacity resource data, label visualization module is according to user level and label level and label is visually displayed, and transport capacity calculation module determines target transport capacity calculation model and its corresponding target label according to business requirement, and relevant data are calculated by calling.The application improves management efficiency, optimizes resource allocation and scheduling decision, satisfies the diversified business requirement.

Description

Technical Field

[0001] This invention relates to the fields of logistics management and information technology, and specifically to a transportation capacity resource management system and method. Background Technology

[0002] In the logistics industry, capacity resource management has always been a core component. However, traditional capacity resource management methods are often based on paper records or simple spreadsheets, which are inefficient and prone to errors when processing large amounts of data. With the rapid development of the logistics industry, the amount of capacity resource data has increased dramatically, and traditional management methods can no longer meet the needs of modern logistics management. In recent years, although information technology has been widely used in the logistics field, there are still many shortcomings in capacity resource management, especially in the use of tags for data management.

[0003] Currently, existing technologies for managing transportation capacity resource data mainly have the following problems:

[0004] Inefficient data management: Traditional data management methods, such as Excel spreadsheets or simple database records, cannot efficiently process and analyze large amounts of transportation capacity resource data. When the data volume grows to a certain level, the speed of querying, updating, and maintaining data becomes very slow.

[0005] Data classification and retrieval are difficult: Without an effective labeling system, data classification and retrieval become extremely difficult. Logistics companies often need to quickly and accurately locate specific types of transportation capacity resources, but without a labeling system, this process is both time-consuming and error-prone.

[0006] Weak data correlation: Existing systems often fail to effectively establish correlations between data points. In the logistics field, the interrelationships between transportation resources are crucial for optimizing scheduling and resource allocation. The lack of a tagging system makes it difficult to uncover and utilize these correlations.

[0007] Insufficient decision support: Without a tagging system, businesses struggle to extract valuable information from massive amounts of capacity data to support decision-making. A tagging system can help businesses quickly identify high-performing or problematic capacity resources, enabling them to make more informed decisions. Summary of the Invention

[0008] To address the shortcomings of existing technologies, this invention provides a transportation capacity resource management system and method to solve problems such as low data management efficiency, difficulty in classification, difficulty in retrieval, and low data correlation in existing technologies.

[0009] On one hand, embodiments of the present invention provide a transportation capacity resource management system, the system comprising:

[0010] The tag library module is used to build a tag library, which includes tags and their attribute information, and the attribute information includes at least generation rules and tag levels.

[0011] The tag binding module is used to bind tags to the transportation capacity resource data according to the generation rules.

[0012] The tag visualization module is used to obtain user levels and visualize tags based on the user levels and tag levels.

[0013] Preferably, the label attribute information also includes label type, which includes carrier label, driver label and vehicle label.

[0014] Preferably, the tag library module includes:

[0015] Custom units are used to define custom labels;

[0016] The automatic learning unit is used to acquire business requirements, determine capacity calculation indicators based on business requirements, and construct corresponding capacity calculation models based on capacity calculation indicators. It is also used to calculate the similarity between custom indicators and self-learning indicators, integrate custom indicators with similarity exceeding a set value with the capacity calculation model, and treat custom indicators with similarity not exceeding a set value as independent indicators to optimize the capacity calculation model.

[0017] Preferably, the tag binding module includes:

[0018] The tag binding unit is used to bind tags to the capacity resource data according to the generation rules;

[0019] The tag update unit is used to automatically update the tags bound to the capacity resources according to the update cycle;

[0020] The tag unbinding unit is used to respond to the user's unbinding command, determine whether the user's permissions meet the preset permissions, and if so, unbind the tag; otherwise, refuse to unbind the tag.

[0021] Preferably, the tag library module includes:

[0022] The level determination unit is used to obtain the number of tags N corresponding to tag level i, the user level j, and the number of users M that are higher than the user level j, and to determine the encryption level based on the number of tags N and the number of users M, wherein the user level j is the minimum level of the tag corresponding to tag level i that can be accessed.

[0023] An encryption algorithm table determination unit is used to determine an encryption algorithm table based on the encryption level. The encryption algorithm table is used to store the relationship between the encryption level and the encryption algorithm, with one encryption level corresponding to one encryption algorithm sub-table.

[0024] The encryption algorithm determination unit is used to calculate the difference p between the number of tags N and the number of tags n in the previous tag update cycle; calculate the difference q between the number of users M and the number of users m in the previous tag update cycle; and determine the encryption algorithm based on the difference p and the difference q.

[0025] The encryption unit uses the encryption algorithm and the user key to encrypt the storage address of the binding relationship between the tag and the transportation capacity resource at tag level i, thereby obtaining the encrypted storage address.

[0026] Preferably, determining the encryption algorithm based on the difference p and the difference q includes:

[0027] If both the difference p and the difference q are odd numbers, then the larger one is used as the vertical parameter and the smaller one is used as the horizontal parameter.

[0028] If both the difference p and the difference q are even numbers, then the smaller vertical parameter is used as the horizontal parameter and the larger one is used as the vertical parameter.

[0029] If the difference p and the difference q are one odd and one even, then the even number is used as the vertical parameter and the odd number is used as the horizontal parameter.

[0030] The encryption algorithm is determined from the encryption algorithm table based on the vertical parameter and the horizontal parameter.

[0031] As a preferred option, it also includes:

[0032] The capacity calculation module is used to obtain business requirements, determine the target capacity calculation model and its corresponding target label based on the business requirements, retrieve the target capacity resource data corresponding to the target label, and input the target capacity resource data into the target capacity calculation model.

[0033] On the other hand, embodiments of the present invention provide a method for managing transportation capacity resources, the method comprising:

[0034] Establish a tag library, which includes tags and their attribute information, and the attribute information includes at least generation rules and tag levels;

[0035] Tags are bound to the transportation capacity resource data according to the generation rules;

[0036] Obtain the user level, and visualize the tag based on the user level and the tag level.

[0037] The beneficial effects of this invention are reflected in the following aspects: This invention provides a transportation capacity resource management system and method. By establishing a tag library containing various tags and their attribute information, it achieves efficient and refined management of transportation capacity resources. The system can automatically bind corresponding tags to transportation capacity resource data and provide visual display based on user level and tag level, improving management efficiency and user experience. In addition, the system also includes a transportation capacity calculation module, which can determine the target transportation capacity calculation model and its corresponding target tags according to business needs, retrieve relevant data for calculation, and support more efficient resource allocation and scheduling decisions. The implementation of this invention not only solves the problems of low data management efficiency, difficulty in classification and retrieval, and weak data correlation in the prior art, but also achieves differentiated management and display of different users and different transportation capacity resources by introducing the concepts of user level and tag level, better meeting diverse business needs. Attached Figure Description

[0038] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0039] Figure 1 This is a schematic diagram of a transportation capacity resource management system provided in an embodiment of the present invention;

[0040] Figure 2 This is a schematic diagram illustrating the relationship between tags and generation rules provided in an embodiment of the present invention;

[0041] Figure 3 This is a flowchart of a transportation capacity resource management method provided in an embodiment of the present invention. Detailed Implementation

[0042] The embodiments of the technical solution of the present invention will now be described in detail with reference to the accompanying drawings. These embodiments are merely illustrative of the technical solution of the present invention and are therefore intended to limit the scope of protection of the present invention.

[0043] It should be noted that, unless otherwise stated, the technical or scientific terms used in this application should have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0044] Example 1

[0045] like Figure 1 As shown, an embodiment of the present invention provides a transportation capacity resource management system, which includes:

[0046] The tag library module is used to build a tag library, which includes tags and their attribute information. The attribute information includes at least generation rules and tag levels.

[0047] In this embodiment of the invention, the tag attribute information further includes tag types, which include carrier tags, driver tags, and vehicle tags, to meet the needs of comprehensive management of logistics capacity resources. The relationship between various tags and their generation rules is as follows: Figure 2 As shown.

[0048] This module is responsible for building a comprehensive tag library, which contains various tags and their related attribute information. This attribute information includes at least the tag generation rules and levels.

[0049] The tag binding module is used to bind tags to the transportation capacity resource data according to the generation rules.

[0050] This module automatically assigns corresponding tags to capacity resource data. The tagging process can be performed in real time or periodically to ensure that the tags for the capacity resource data are always up-to-date.

[0051] In this embodiment of the invention, the tag binding module includes: a tag binding unit, used to bind tags to capacity resource data according to generation rules; a tag updating unit, used to automatically update the tags bound to capacity resources according to the update cycle; and a tag unbinding unit, used to respond to the user's unbinding command, determine whether the user's permissions meet the preset permissions, and if so, unbind the tags; otherwise, refuse to unbind the tags.

[0052] In one embodiment of the present invention, the tag library module includes: a custom unit for customizing tags; an automatic learning unit for acquiring business requirements, determining capacity calculation indicators based on business requirements, and constructing a corresponding capacity calculation model based on the capacity calculation indicators; and also for calculating the similarity between custom indicators and self-learning indicators, fusing custom indicators with similarity exceeding a set value with the capacity calculation model, and using custom indicators with similarity not exceeding a set value as independent indicators to optimize the capacity calculation model.

[0053] In this embodiment of the invention, the tag library module includes:

[0054] The level determination unit is used to obtain the number of tags N corresponding to tag level i, the user level j, and the number of users M that are higher than the user level j, and to determine the encryption level based on the number of tags N and the number of users M, wherein the user level j is the minimum level of the tag corresponding to tag level i that can be accessed.

[0055] An encryption algorithm table determination unit is used to determine an encryption algorithm table based on the encryption level. The encryption algorithm table stores the relationship between encryption levels and encryption algorithms, with one encryption level corresponding to one encryption algorithm sub-table. The encryption algorithm determination unit is used to calculate the difference p between the number of tags N and the number of tags n in the previous tag update cycle; calculate the difference q between the number of users M and the number of users m in the previous tag update cycle; and determine the encryption algorithm based on the difference p and the difference q. An encryption unit uses the encryption algorithm and the user key to encrypt the storage address of the binding relationship between tags and transportation resources at tag level i, obtaining an encrypted storage address.

[0056] It should be noted that users with specific access permissions can delete bound tags, and users whose user level is higher than the level tag setting value can modify the tag attribute information.

[0057] The number of tags and the number of users will determine the access parameters of the tags. The higher the number of accesses, the easier it is for the tags to be tampered with. Therefore, this embodiment of the invention determines the encryption level based on the number of both. At the same time, in order to further ensure the security and authenticity of the tags, it is also necessary to update the encryption algorithm based on the change rate of the number of tags in two adjacent tag update cycles.

[0058] In this embodiment of the invention, determining the encryption algorithm based on the difference p and the difference q includes: if both the difference p and the difference q are odd, the larger one is used as the vertical parameter and the smaller one as the horizontal parameter; if both the difference p and the difference q are even, the smaller one is used as the vertical parameter and the larger one as the horizontal parameter; if one difference p and the other difference q are odd and the other even, the even one is used as the vertical parameter and the odd one as the horizontal parameter; and the encryption algorithm is determined from the encryption algorithm table based on the vertical parameter and the horizontal parameter. In some embodiments, the user level needs to be higher than the tag level to allow the unbinding operation.

[0059] The tag visualization module is used to obtain user levels and visualize tags based on the user levels and tag levels.

[0060] The decryption process during visualization is similar to the encryption process provided in the above embodiments, and will not be described in detail here.

[0061] In this embodiment of the invention, it further includes: a capacity calculation module, used to obtain business requirements, determine a target capacity calculation model and its corresponding target label according to the business requirements, retrieve target capacity resource data corresponding to the target label, and input the target capacity resource data into the target capacity calculation model.

[0062] In embodiments of the present invention, the capacity calculation module is a key component. It is responsible for determining the appropriate capacity calculation model based on specific business needs and retrieving corresponding capacity resource data from the tag library for calculation. The following is a detailed description of the capacity calculation module:

[0063] Obtaining Business Requirements: The capacity calculation module first receives and parses specific requirements from business departments. These requirements may involve aspects such as transportation cost optimization, transportation time minimization, and transportation efficiency maximization. The module can understand and process business requirements in various formats, such as text descriptions, preset parameter configurations, or instructions received via API.

[0064] Determine the target capacity calculation model and its corresponding target labels: Based on the parsed business requirements, the capacity calculation module intelligently selects an appropriate capacity calculation model. These models may be predefined, such as linear programming models, integer programming models, or machine learning prediction models. Simultaneously, the module determines which labels are relevant to the selected capacity calculation model. For example, if the business requirement is to optimize transportation costs, then labels such as "cost," "distance," and "mode of transport" might be key target labels.

[0065] Retrieve target capacity resource data corresponding to the target tag: Once the target tag is determined, the capacity calculation module will send a request to the tag library to retrieve the capacity resource data associated with these tags. This data may include transportation costs, transportation distances, vehicle types, driver experience levels, etc., all of which are important factors that need to be considered when performing capacity calculations.

[0066] Inputting target capacity resource data into the target capacity calculation model: After retrieving the relevant data, the capacity calculation module will format the data and input it into the previously selected capacity calculation model. Depending on the complexity of the model and the size of the data, the calculation process may take some time to complete.

[0067] Output Results and Decision Support: After processing the data, the capacity calculation model will generate a series of results, such as optimized transportation routes, cost predictions, and time estimates.

[0068] These results will be presented to decision-makers through appropriate interfaces or reports to support them in making more informed transportation and resource allocation decisions.

[0069] Through the capacity calculation module, this invention not only improves the level of intelligence in capacity resource management, but also enables logistics companies to more accurately meet customer needs, optimize operating costs, and maintain a leading position in a highly competitive market.

[0070] In summary, this invention provides a transportation capacity resource management system and method. By establishing a tag library containing various tags and their attribute information, it achieves efficient and refined management of transportation capacity resources. The system can automatically bind corresponding tags to transportation capacity resource data and provide visual display based on user level and tag level, improving management efficiency and user experience. Furthermore, the system includes a transportation capacity calculation module, which can determine the target transportation capacity calculation model and its corresponding target tags according to business needs, retrieve relevant data for calculation, and support more efficient resource allocation and scheduling decisions. The implementation of this invention not only solves the problems of low data management efficiency, difficulty in classification and retrieval, and weak data correlation in existing technologies, but also achieves differentiated management and display of different users and different transportation capacity resources by introducing the concepts of user level and tag level, better meeting diverse business needs.

[0071] Example 2

[0072] like Figure 2 As shown in the figure, an embodiment of the present invention provides a method for managing transportation capacity resources, the method comprising:

[0073] Establish a tag library, which includes tags and their attribute information, and the attribute information includes at least generation rules and tag levels;

[0074] Tags are bound to the transportation capacity resource data according to the generation rules;

[0075] Obtain the user level, and visualize the tag based on the user level and the tag level.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A capacity resource management system, characterized by, The application comprises: a label library module for establishing a label library, the label library comprising labels and attribute information of the labels, the attribute information comprising at least generation rules and label levels; a label binding module for binding labels to transport resource data according to the generation rules; a label visualization module for obtaining a user level and visualizing the labels according to the user level and the label levels. The label library module comprises: a level determination unit for obtaining a label quantity N corresponding to a label level i, a user level j, and a user quantity M higher than the user level j, and determining an encryption level according to the label quantity N and the user quantity M, wherein the user level j is the minimum level of the labels corresponding to the accessible label level i; an encryption algorithm table determination unit for determining an encryption algorithm table according to the encryption level, the encryption algorithm table being used to store the relationship between encryption levels and encryption algorithms, one encryption level corresponding to one encryption algorithm sub-table; an encryption algorithm determination unit for calculating a difference value p between the label quantity N and a label quantity n of a previous label update period, calculating a difference value q between the user quantity M and a user quantity m of the previous label update period, and determining an encryption algorithm according to the difference value p and the difference value q; an encryption unit for encrypting a storage address of the binding relationship between the labels of the label level i and the transport resources by using the encryption algorithm and a user key, to obtain an encrypted storage address.

2. The system of claim 1, wherein, The label attribute information further comprises label types, and the label types comprise carrier labels, driver labels, and vehicle labels.

3. The system of claim 2, wherein, The label library module comprises: a self-defining unit for self-defining labels; an automatic learning unit for obtaining business requirements, determining transport calculation indexes according to the business requirements, constructing corresponding transport calculation models according to the transport calculation indexes, calculating the similarity between self-defined indexes and self-learned indexes, fusing self-defined indexes with a similarity higher than a set value with the transport calculation models, and taking self-defined indexes with a similarity not higher than the set value as independent indexes to optimize the transport calculation models.

4. The system of claim 1, wherein, The label binding module comprises: a label binding unit for binding labels to transport resource data according to the generation rules; a label updating unit for automatically updating the labels bound to the transport resources according to an update period; a label unbinding unit for responding to an unbinding instruction of a user, judging whether the user's authority meets preset authority, unbinding the labels if the user's authority meets the preset authority, and refusing to access the bound labels if the user's authority does not meet the preset authority.

5. The system of claim 1, wherein, Determining the encryption algorithm according to the difference value p and the difference value q comprises: if both the difference value p and the difference value q are odd numbers, taking the larger one as a vertical parameter and the smaller one as a horizontal parameter; if both the difference value p and the difference value q are even numbers, taking the smaller one as a vertical parameter and the larger one as a horizontal parameter; if one of the difference value p and the difference value q is odd and the other is even, taking the even number as a vertical parameter and the odd number as a horizontal parameter; determining the encryption algorithm from the encryption algorithm table according to the vertical parameter and the horizontal parameter.

6. The system of claim 1, wherein, The application further comprises: The transport capacity calculation module is configured to acquire a service demand, determine a target transport capacity calculation model and a corresponding target label according to the service demand, call target transport capacity resource data corresponding to the target label, and input the target transport capacity resource data into the target transport capacity calculation model.

7. A capacity resource management method characterized by, Suitable for the system as claimed in claim 1, comprising: A label library is established, and the label library includes labels and attribute information of the labels, and the attribute information at least includes generation rules and label levels; Labels are bound to transport capacity resource data according to the generation rules; A user level is acquired, and labels are visually displayed according to the user level and the label level.

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