A method and system for managing traffic system data

Abstract

This invention provides a method and system for managing traffic system data. The method includes: receiving real-time user data generated by a user through a user terminal and detecting several target traffic systems registered by the user in real-time; detecting the system attribute list corresponding to each target traffic system in real-time and performing adaptive fusion processing on the system attribute list of each target traffic system to generate a corresponding target attribute list in real-time; adding a unique data flow identifier to the real-time user data according to the target attribute list; and controlling the real-time user data to flow freely between each target traffic system based on the data flow identifier. This invention enables real-time user data generated by users to flow freely between various traffic systems, eliminating data silos and improving the user experience.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a data management method and system for transportation systems. Background Technology

[0002] With the advancement of technology and the rapid development of the times, the Internet has become widespread in all walks of life, enabling people to learn, shop, and entertain themselves online, greatly facilitating their lives.

[0003] In recent years, with the rapid development of intelligent urban transportation, various types of transportation networking systems have been developed, such as bus networking systems, subway networking systems, and high-speed rail networking systems, to store user data through each system.

[0004] Furthermore, in practical applications, due to the different attributes contained in each system, the scheduling of user data between the various networked systems can only be accomplished through specific data transmission protocols. However, when user data changes, it is necessary to rebind the corresponding data transmission protocol, which can easily lead to the formation of data silos between various transportation networked systems, making it difficult to conduct timely data interaction between systems and thus reducing the user experience. Summary of the Invention

[0005] Based on this, the purpose of the present invention is to provide a data management method and system for a transportation system, so as to solve the problem that the existing technology easily forms data silos between various transportation network systems and cannot carry out data interaction between systems in a timely manner.

[0006] The first aspect of the present invention proposes:

[0007] A method for managing traffic system data, wherein the method includes:

[0008] It can receive real-time user data generated by users through user terminals and detect several target traffic systems registered by the users in real time.

[0009] The system attribute list corresponding to each target traffic system is detected in real time, and the system attribute list of each target traffic system is adaptively fused to generate the corresponding target attribute list in real time.

[0010] Add a corresponding data circulation identifier to the real-time user data according to the target attribute list, and the data circulation identifier is unique;

[0011] The real-time user data is controlled to circulate between each of the target transportation systems in real time based on the data circulation identifier.

[0012] The beneficial effects of this invention are as follows: By detecting several target traffic systems registered by the user in real time, the transmission location of the data generated by the current user can be clearly identified. Based on this, in order to enable the current user's data to flow freely between the various target traffic systems, the system attribute list of each target traffic system is detected in real time and merged into the required target attribute list. Based on this, a data flow identifier adapted to the current real-time user data can be generated according to the target attribute list, and the free flow of data can be completed accordingly, thus avoiding the formation of data silos and completing data interaction between systems, thereby improving the user experience.

[0013] Furthermore, the step of adaptively fusing the system attribute list of each target traffic system to generate the corresponding target attribute list in real time includes:

[0014] When the system attribute list corresponding to each of the target traffic systems is obtained in real time, the system attribute list is fully scanned to detect the original system items contained in the system attribute list in real time.

[0015] In the system attribute list, the initial attribute value corresponding to each original system item is extracted in real time, and each original system item corresponds to one initial attribute value.

[0016] The target attribute list is generated based on the initial attribute values.

[0017] Furthermore, the step of generating the target attribute list based on the initial attribute values ​​includes:

[0018] When an initial attribute value corresponding to the target traffic system is detected in real time, the initial attribute value is integrated in real time to generate a corresponding attribute set in real time, and each target traffic system corresponds to one attribute set.

[0019] The attribute set corresponding to each target traffic system is matrixed to generate the corresponding attribute matrix in real time, and the target attribute list is generated according to the attribute matrix.

[0020] Furthermore, the step of generating the target attribute list based on the attribute matrix includes:

[0021] When the attribute matrix is ​​acquired in real time, the attribute matrix is ​​serialized using a preset DTW algorithm to generate the corresponding target attribute sequence in real time.

[0022] The target attribute sequence is converted into the corresponding target attribute code in real time using a preset conversion algorithm, and the target attribute list is generated according to the target attribute code.

[0023] Furthermore, the step of adding corresponding data circulation identifiers to the real-time user data according to the target attribute list includes:

[0024] When the real-time user data is acquired in real time, the basic transmission protocol that is compatible with the real-time user data is detected in the preset database in real time.

[0025] The system extracts several target attribute values ​​from the target attribute list in real time and generates the data flow identifier based on the basic transmission protocol and the corresponding target attribute values.

[0026] Furthermore, the step of generating the data flow identifier based on the underlying transmission protocol and the corresponding target attribute values ​​includes:

[0027] When the basic transmission protocol is acquired in real time, several transmission parameters contained in the basic transmission protocol are detected in real time.

[0028] A corresponding transmission data chain is constructed in real time based on several transmission parameters, and a corresponding attribute data chain is constructed in real time based on several target attribute values, so as to generate the data flow identifier in real time according to the transmission data chain and the attribute data chain.

[0029] Furthermore, the step of generating the data flow identifier in real time based on the transmission data chain and the attribute data chain includes:

[0030] When the transmission data chain and the attribute data chain are obtained respectively, the transmission data chain and the attribute data chain are interleaved and fused to generate the corresponding target data chain in real time.

[0031] The target data chain is subjected to feature encoding processing by a preset encoder to generate the corresponding target feature code in real time, and the data flow identifier is generated according to the target feature code.

[0032] The second aspect of the present invention proposes:

[0033] A traffic system data management system, wherein the system includes:

[0034] The receiving module is used to receive real-time user data generated by the user through the user terminal and to detect the target traffic systems registered by the user in real time.

[0035] The fusion module is used to detect the system attribute list corresponding to each target traffic system in real time, and perform adaptive fusion processing on the system attribute list of each target traffic system to generate the corresponding target attribute list in real time.

[0036] The processing module is used to add a corresponding data circulation identifier to the real-time user data according to the target attribute list, wherein the data circulation identifier is unique;

[0037] The control module is used to control the real-time user data to flow between each of the target transportation systems in real time according to the data flow identifier.

[0038] Furthermore, the fusion module is specifically used for:

[0039] When the system attribute list corresponding to each of the target traffic systems is obtained in real time, the system attribute list is fully scanned to detect the original system items contained in the system attribute list in real time.

[0040] In the system attribute list, the initial attribute value corresponding to each original system item is extracted in real time, and each original system item corresponds to one initial attribute value.

[0041] The target attribute list is generated based on the initial attribute values.

[0042] Furthermore, the fusion module is specifically used for:

[0043] When an initial attribute value corresponding to the target traffic system is detected in real time, the initial attribute value is integrated in real time to generate a corresponding attribute set in real time, and each target traffic system corresponds to one attribute set.

[0044] The attribute set corresponding to each target traffic system is matrixed to generate the corresponding attribute matrix in real time, and the target attribute list is generated according to the attribute matrix.

[0045] Furthermore, the fusion module is specifically used for:

[0046] When the attribute matrix is ​​acquired in real time, the attribute matrix is ​​serialized using a preset DTW algorithm to generate the corresponding target attribute sequence in real time.

[0047] The target attribute sequence is converted into the corresponding target attribute code in real time using a preset conversion algorithm, and the target attribute list is generated according to the target attribute code.

[0048] Furthermore, the execution module is specifically used for:

[0049] When the real-time user data is acquired in real time, the basic transmission protocol that is compatible with the real-time user data is detected in the preset database in real time.

[0050] The system extracts several target attribute values ​​from the target attribute list in real time and generates the data flow identifier based on the basic transmission protocol and the corresponding target attribute values.

[0051] Furthermore, the execution module is specifically used for:

[0052] When the basic transmission protocol is acquired in real time, several transmission parameters contained in the basic transmission protocol are detected in real time.

[0053] A corresponding transmission data chain is constructed in real time based on several transmission parameters, and a corresponding attribute data chain is constructed in real time based on several target attribute values, so as to generate the data flow identifier in real time according to the transmission data chain and the attribute data chain.

[0054] Furthermore, the execution module is specifically used for:

[0055] When the transmission data chain and the attribute data chain are obtained respectively, the transmission data chain and the attribute data chain are interleaved and fused to generate the corresponding target data chain in real time.

[0056] The target data chain is subjected to feature encoding processing by a preset encoder to generate the corresponding target feature code in real time, and the data flow identifier is generated according to the target feature code.

[0057] The third aspect of the present invention proposes:

[0058] A computer includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the traffic system data management method as described above.

[0059] The fourth aspect of the present invention proposes:

[0060] A readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the traffic system data management method as described above.

[0061] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0062] Figure 1A flowchart of a traffic system data management method provided in the first embodiment of the present invention;

[0063] Figure 2 The structural block diagram of the traffic system data management system provided in the third embodiment of the present invention.

[0064] The following detailed description, in conjunction with the accompanying drawings, will further illustrate the present invention. Detailed Implementation

[0065] To facilitate understanding of the present invention, a more complete description will be given below with reference to the accompanying drawings. Several embodiments of the invention are illustrated in the drawings. However, the invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

[0066] It should be noted that when a component is said to be "fixed to" another component, it can be directly on the other component or there may be an intervening component. When a component is said to be "connected to" another component, it can be directly connected to the other component or there may be an intervening component. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this document are for illustrative purposes only.

[0067] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0068] Please see Figure 1 The diagram shows a traffic system data management method provided in the first embodiment of the present invention. The traffic system data management method provided in this embodiment enables user data generated in real time to flow freely within various traffic systems, while eliminating data silos and improving the user experience.

[0069] Specifically, this embodiment provides:

[0070] A data management method for a transportation system specifically includes the following steps:

[0071] Step S10: Receive real-time user data generated by the user through the user terminal in real time, and detect the several target traffic systems registered by the user in real time.

[0072] It should be noted that the transportation system data management method provided by this invention is specifically applied within a backend server. This server can communicate with existing subway management systems, bus management systems, and high-speed rail management systems to complete data transmission. It should be pointed out that users use public transportation in their daily lives, thus using all three systems simultaneously. Therefore, to synchronize user-generated data within these transportation systems, this invention receives real-time user data generated by the user through their terminal. This real-time user data may include the user's identity information, usage information, and ticketing information. Furthermore, to facilitate subsequent data flow, this invention also needs to identify several target transportation systems that the user has registered with, i.e., systems they have already used. Based on this, the user data is circulated within these target transportation systems for subsequent processing.

[0073] Step S20: Detect the system attribute list corresponding to each target traffic system in real time, and perform adaptive fusion processing on the system attribute list of each target traffic system to generate the corresponding target attribute list in real time.

[0074] It should be noted that after identifying several target traffic systems in real time through the above steps, these target traffic systems will then be the processing objects. Based on this, in order to complete the subsequent data flow, this invention also needs to detect the system attribute list corresponding to each target traffic system in real time. At the same time, in order to obtain the characteristics of each system attribute list, this invention will also perform adaptive fusion processing on the system attribute lists of each target traffic system, that is, perform real-time fusion processing on the characteristics of each system attribute list, so as to generate a target attribute list that meets the usage requirements of each traffic system in real time, so as to facilitate subsequent processing.

[0075] Step S30: Add a corresponding data circulation identifier to the real-time user data according to the target attribute list, wherein the data circulation identifier is unique;

[0076] It should be noted that after obtaining the required target attribute list in real time through the above steps, the real-time user data needs to be processed in a targeted manner. Specifically, in order to transfer the generality of the current target attribute list to the current user's real-time user data, the present invention adds a corresponding data flow identifier to the current user's real-time user data in real time according to the current target attribute list. That is, a unique feature identifier is added in real time. Specifically, this data flow identifier can be recognized and received by the various transportation systems mentioned above, so as to facilitate subsequent processing.

[0077] Step S40: Control the real-time user data to circulate between each of the target transportation systems in real time according to the data circulation identifier.

[0078] It should be noted that after generating a data circulation identifier corresponding to the current user's real-time user data through the above steps, the server can then control the flow of the current user's real-time user data within each of the target transportation systems as needed. This enables the synchronous processing of user data within each transportation system, eliminates data silos, and improves the user experience.

[0079] Second Embodiment

[0080] Furthermore, the step of adaptively fusing the system attribute list of each target traffic system to generate the corresponding target attribute list in real time includes:

[0081] When the system attribute list corresponding to each of the target traffic systems is obtained in real time, the system attribute list is fully scanned to detect the original system items contained in the system attribute list in real time.

[0082] In the system attribute list, the initial attribute value corresponding to each original system item is extracted in real time, and each original system item corresponds to one initial attribute value.

[0083] The target attribute list is generated based on the initial attribute values.

[0084] It should be noted that after obtaining the system attribute list corresponding to each target transportation system in real time through the above steps, in order to objectively and effectively complete the adaptive fusion processing of the current system attribute lists, this invention will also perform a full scan of each current system attribute list in real time. This allows for the real-time detection of several original system items contained within the current system attribute list. Specifically, for ease of understanding, these original system items may include user information fields, passenger information fields, and ticketing information fields, etc. This invention will extract the initial attribute values ​​corresponding to each original system item in real time. It should be pointed out that these initial attribute values ​​are randomly generated during the creation of the system attribute list to facilitate the identification of each original system item. Specifically, the magnitude of these initial attribute values ​​is between zero and one hundred, and the initial attribute values ​​of each original system item are different to facilitate subsequent processing.

[0085] Furthermore, the step of generating the target attribute list based on the initial attribute values ​​includes:

[0086] When an initial attribute value corresponding to the target traffic system is detected in real time, the initial attribute value is integrated in real time to generate a corresponding attribute set in real time, and each target traffic system corresponds to one attribute set.

[0087] The attribute set corresponding to each target traffic system is matrixed to generate the corresponding attribute matrix in real time, and the target attribute list is generated according to the attribute matrix.

[0088] It should be noted that after detecting the initial attribute values ​​corresponding to each target traffic system in real time through the above steps (i.e., one target traffic system corresponds to multiple initial attribute values), this invention integrates the initial attribute values ​​of each target traffic system in real time and can integrate the corresponding attribute set. In order to obtain the characteristics of each target traffic system, this invention also performs matrix processing on the attribute set of each target traffic system and can generate the corresponding attribute matrix in real time. Based on this, this invention can generate the target attribute list according to the current attribute matrix in real time for subsequent processing.

[0089] Furthermore, the step of generating the target attribute list based on the attribute matrix includes:

[0090] When the attribute matrix is ​​acquired in real time, the attribute matrix is ​​serialized using a preset DTW algorithm to generate the corresponding target attribute sequence in real time.

[0091] The target attribute sequence is converted into the corresponding target attribute code in real time using a preset conversion algorithm, and the target attribute list is generated according to the target attribute code.

[0092] It should be noted that after obtaining the required attribute matrix in real time through the above steps, the current attribute matrix will be serialized immediately using the existing DTW algorithm, and the corresponding target attribute sequence will be generated in real time. Based on this, the present invention will again use the existing wavelet transform algorithm to convert the current target attribute sequence into the corresponding target attribute code in real time, that is, the code that the server can process. Based on this, the target attribute list will be generated immediately according to the code for subsequent processing.

[0093] Furthermore, the step of adding corresponding data circulation identifiers to the real-time user data according to the target attribute list includes:

[0094] When the real-time user data is acquired in real time, the basic transmission protocol that is compatible with the real-time user data is detected in the preset database in real time.

[0095] The system extracts several target attribute values ​​from the target attribute list in real time and generates the data flow identifier based on the basic transmission protocol and the corresponding target attribute values.

[0096] It should be noted that after obtaining the required target attribute list in real time through the above steps, in order to objectively and accurately generate a data flow identifier that is compatible with the real-time user data, this invention will immediately match the basic transmission protocol that is compatible with the data type of the current real-time user data in the existing communication database, that is, the basic universal transmission protocol. Based on this, in order to facilitate the subsequent data transmission, this invention will extract several target attribute values ​​contained in the current target attribute list in real time for subsequent processing.

[0097] Furthermore, the step of generating the data flow identifier based on the underlying transmission protocol and the corresponding target attribute values ​​includes:

[0098] When the basic transmission protocol is acquired in real time, several transmission parameters contained in the basic transmission protocol are detected in real time.

[0099] A corresponding transmission data chain is constructed in real time based on several transmission parameters, and a corresponding attribute data chain is constructed in real time based on several target attribute values, so as to generate the data flow identifier in real time according to the transmission data chain and the attribute data chain.

[0100] It should be noted that after obtaining the required basic transmission protocol in real time through the above steps, the present invention will detect in real time the several transmission parameters contained within the current basic transmission protocol. At the same time, by arranging and combining the current several transmission parameters in sequence, the corresponding transmission data chain can be constructed in real time. Based on this, by arranging and combining the above-mentioned target attribute values, the corresponding attribute data chain can be constructed in real time for subsequent processing.

[0101] Furthermore, the step of generating the data flow identifier in real time based on the transmission data chain and the attribute data chain includes:

[0102] When the transmission data chain and the attribute data chain are obtained respectively, the transmission data chain and the attribute data chain are interleaved and fused to generate the corresponding target data chain in real time.

[0103] The target data chain is subjected to feature encoding processing by a preset encoder to generate the corresponding target feature code in real time, and the data flow identifier is generated according to the target feature code.

[0104] It should be noted that after obtaining the required transmission data chain and attribute data chain through the above steps, in order to integrate the information contained in the two data chains, the current transmission data chain and attribute data chain will be interleaved and fused immediately to generate the required target data chain. Based on this, the existing Transformer encoder will be immediately invoked to perform real-time feature encoding on the current target data chain and encode the required target feature code in real time. Based on this, the data flow identifier mentioned above will also be generated according to the current target feature code to facilitate subsequent processing.

[0105] Please see Figure 2 The third embodiment of the present invention provides:

[0106] A traffic system data management system, wherein the system includes:

[0107] The receiving module is used to receive real-time user data generated by the user through the user terminal and to detect the target traffic systems registered by the user in real time.

[0108] The fusion module is used to detect the system attribute list corresponding to each target traffic system in real time, and perform adaptive fusion processing on the system attribute list of each target traffic system to generate the corresponding target attribute list in real time.

[0109] The processing module is used to add a corresponding data circulation identifier to the real-time user data according to the target attribute list, wherein the data circulation identifier is unique;

[0110] The control module is used to control the real-time user data to flow between each of the target transportation systems in real time according to the data flow identifier.

[0111] Furthermore, the fusion module is specifically used for:

[0112] When the system attribute list corresponding to each of the target traffic systems is obtained in real time, the system attribute list is fully scanned to detect the original system items contained in the system attribute list in real time.

[0113] In the system attribute list, the initial attribute value corresponding to each original system item is extracted in real time, and each original system item corresponds to one initial attribute value.

[0114] The target attribute list is generated based on the initial attribute values.

[0115] Furthermore, the fusion module is specifically used for:

[0116] When an initial attribute value corresponding to the target traffic system is detected in real time, the initial attribute value is integrated in real time to generate a corresponding attribute set in real time, and each target traffic system corresponds to one attribute set.

[0117] The attribute set corresponding to each target traffic system is matrixed to generate the corresponding attribute matrix in real time, and the target attribute list is generated according to the attribute matrix.

[0118] Furthermore, the fusion module is specifically used for:

[0119] When the attribute matrix is ​​acquired in real time, the attribute matrix is ​​serialized using a preset DTW algorithm to generate the corresponding target attribute sequence in real time.

[0120] The target attribute sequence is converted into the corresponding target attribute code in real time using a preset conversion algorithm, and the target attribute list is generated according to the target attribute code.

[0121] Furthermore, the execution module is specifically used for:

[0122] When the real-time user data is acquired in real time, the basic transmission protocol that is compatible with the real-time user data is detected in the preset database in real time.

[0123] The system extracts several target attribute values ​​from the target attribute list in real time and generates the data flow identifier based on the basic transmission protocol and the corresponding target attribute values.

[0124] Furthermore, the execution module is specifically used for:

[0125] When the basic transmission protocol is acquired in real time, several transmission parameters contained in the basic transmission protocol are detected in real time.

[0126] A corresponding transmission data chain is constructed in real time based on several transmission parameters, and a corresponding attribute data chain is constructed in real time based on several target attribute values, so as to generate the data flow identifier in real time according to the transmission data chain and the attribute data chain.

[0127] Furthermore, the execution module is specifically used for:

[0128] When the transmission data chain and the attribute data chain are obtained respectively, the transmission data chain and the attribute data chain are interleaved and fused to generate the corresponding target data chain in real time.

[0129] The target data chain is subjected to feature encoding processing by a preset encoder to generate the corresponding target feature code in real time, and the data flow identifier is generated according to the target feature code.

[0130] The fourth embodiment of the present invention provides a computer, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the traffic system data management method as described above.

[0131] The fifth embodiment of the present invention provides a readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the traffic system data management method as described above.

[0132] In summary, the traffic system data management method and system provided by the above embodiments of the present invention enable user-generated user data to flow freely within various traffic systems, while eliminating data silos and correspondingly improving the user experience.

[0133] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can reside in the same processor; or the above modules can be located in different processors in any combination.

[0134] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0135] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0136] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0137] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0138] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the appended claims.

Claims

1. A data management method for a transportation system, characterized in that, The method includes: It can receive real-time user data generated by users through user terminals and detect several target traffic systems registered by the users in real time. The system attribute list corresponding to each target traffic system is detected in real time, and the system attribute list of each target traffic system is adaptively fused to generate the corresponding target attribute list in real time. Add a corresponding data circulation identifier to the real-time user data according to the target attribute list, and the data circulation identifier is unique; The real-time user data is controlled to circulate between each of the target transportation systems in real time according to the data circulation identifier; The step of adaptively fusing the system attribute list of each target traffic system to generate the corresponding target attribute list in real time includes: When the system attribute list corresponding to each of the target traffic systems is obtained in real time, the system attribute list is fully scanned to detect the original system items contained in the system attribute list in real time. In the system attribute list, the initial attribute value corresponding to each original system item is extracted in real time, and each original system item corresponds to one initial attribute value. The target attribute list is generated based on the initial attribute values; The step of generating the target attribute list based on the initial attribute values ​​includes: When an initial attribute value corresponding to the target traffic system is detected in real time, the initial attribute value is integrated in real time to generate a corresponding attribute set in real time, and each target traffic system corresponds to one attribute set. The attribute set corresponding to each target traffic system is matrixed to generate the corresponding attribute matrix in real time, and the target attribute list is generated according to the attribute matrix. The step of generating the target attribute list based on the attribute matrix includes: When the attribute matrix is ​​acquired in real time, the attribute matrix is ​​serialized using a preset DTW algorithm to generate the corresponding target attribute sequence in real time. The target attribute sequence is converted into the corresponding target attribute code in real time using a preset conversion algorithm, and the target attribute list is generated according to the target attribute code.

2. The traffic system data management method according to claim 1, characterized in that: The step of adding a corresponding data circulation identifier to the real-time user data according to the target attribute list includes: When the real-time user data is acquired in real time, the basic transmission protocol that is compatible with the real-time user data is detected in the preset database in real time. The system extracts several target attribute values ​​from the target attribute list in real time and generates the data flow identifier based on the basic transmission protocol and the corresponding target attribute values.

3. The traffic system data management method according to claim 2, characterized in that: The step of generating the data flow identifier based on the underlying transmission protocol and several target attribute values ​​includes: When the basic transmission protocol is acquired in real time, several transmission parameters contained in the basic transmission protocol are detected in real time. A corresponding transmission data chain is constructed in real time based on several transmission parameters, and a corresponding attribute data chain is constructed in real time based on several target attribute values, so as to generate the data flow identifier in real time according to the transmission data chain and the attribute data chain.

4. The traffic system data management method according to claim 3, characterized in that: The step of generating the data flow identifier in real time based on the transmission data chain and the attribute data chain includes: When the transmission data chain and the attribute data chain are obtained respectively, the transmission data chain and the attribute data chain are interleaved and fused to generate the corresponding target data chain in real time. The target data chain is subjected to feature encoding processing by a preset encoder to generate the corresponding target feature code in real time, and the data flow identifier is generated according to the target feature code.

5. A traffic system data management system, characterized in that, The system for implementing the method as described in any one of claims 1 to 4 includes: The receiving module is used to receive real-time user data generated by the user through the user terminal and to detect the target traffic systems registered by the user in real time. The fusion module is used to detect the system attribute list corresponding to each target traffic system in real time, and perform adaptive fusion processing on the system attribute list of each target traffic system to generate the corresponding target attribute list in real time. The processing module is used to add a corresponding data circulation identifier to the real-time user data according to the target attribute list, wherein the data circulation identifier is unique; The control module is used to control the real-time user data to flow between each of the target transportation systems in real time according to the data flow identifier.

6. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the traffic system data management method as described in any one of claims 1 to 4.

7. A readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the traffic system data management method as described in any one of claims 1 to 4.

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