Methods, devices, electronic equipment and media for dealing with abnormalities in logistics and transportation

Abstract

The present invention discloses a method, device, electronic device and medium for dealing with logistics transportation anomalies. The method includes: receiving an exception handling request, wherein the exception handling request is used to handle an abnormal situation that occurs during the logistics transportation of a logistics vehicle; in response to the exception handling request, obtaining abnormal information generated during the transportation of the logistics vehicle; based on the abnormal information, using an abnormal type table, determining the type information of the abnormal information; based on the type information, using an abnormal solution database, determining a solution corresponding to the type information. The present invention solves the technical problem of low efficiency in handling abnormal situations that occur during logistics transportation.

Description

Technical Field

[0001] The present invention relates to the field of warehousing logistics technology, and in particular to a method, device, electronic equipment and medium for coping with abnormal logistics transportation. Background Art

[0002] In the process of logistics transportation of parts in the existing automobile logistics industry, various abnormal situations often occur, such as traffic accidents, cargo losses, natural disasters, inability to contact customers, and failure to deliver due to errors in the address / phone number filled in by customers. In these abnormal situations, the driver reports the abnormal situation in time by contacting the staff by phone. The staff handles the abnormal situation according to the managers at each level who need to report the abnormal situation layer by layer and the timeliness requirements for reporting to each level, resulting in low processing efficiency, which greatly reduces the transportation efficiency and cannot guarantee to meet the customer's needs for goods, services and related information.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present invention provide a method, device, electronic device and medium for dealing with abnormalities in logistics transportation, so as to at least solve the technical problem of low efficiency in handling abnormal situations occurring during logistics transportation.

[0005] According to one aspect of an embodiment of the present invention, a method for dealing with logistics transportation anomalies is provided, including: receiving an exception handling request, wherein the exception handling request is used to handle abnormal situations occurring during logistics transportation of a logistics vehicle; in response to the exception handling request, obtaining abnormal information generated during transportation by the logistics vehicle; based on the abnormal information, using an abnormal type table, determining type information of the abnormal information; based on the type information, using an abnormal solution database, determining a solution corresponding to the type information.

[0006] Furthermore, after determining the solution corresponding to the type information, the processing method also includes: when determining the solution corresponding to the type information, generating reminder information, wherein the reminder information is used to inform the target object of the corresponding abnormal situation processing solution, wherein the target object includes the driver, the shipper and the consignee.

[0007] Further, based on the exception information, using the exception type table, determining the type information of the exception information includes determining the type information of the exception information from the exception information and the exception type table using a TF-IDF algorithm and a BF algorithm based on the exception information.

[0008] Further, the type information of the abnormal information is determined from the abnormal information and the abnormal type table using the TF-IDF algorithm and the BF algorithm, including: performing word segmentation processing on the abnormal information in sequence to obtain word segmentation information; extracting keywords from the word segmentation information using the TF-IDF algorithm, and matching the extracted keywords with the abnormal type table using the BF algorithm to determine the type information of the corresponding abnormal information.

[0009] Furthermore, after the BF algorithm is used to match and extract the keywords and the exception type table, the processing method also includes: when the BF algorithm is used to match and extract the keywords and the exception type table, the matching result is empty, the extracted keywords are recorded in the exception type table, and sent to the corresponding person in charge for processing; in response to the feedback data of the corresponding person in charge, the type information of the corresponding exception information is obtained, and synchronized to the exception type table.

[0010] Furthermore, after generating the reminder information, the processing method also includes: when determining that the reminder information is generated, periodically obtaining the processing progress, wherein the processing progress includes processing, unprocessed and processed; generating processing progress information based on the processing progress, and pushing the processing progress information to the target object.

[0011] According to another aspect of an embodiment of the present invention, there is also provided a processing device for dealing with logistics transportation anomalies, including: a receiving module, used to receive an exception handling request, wherein the exception handling request is used to handle abnormal situations occurring in a logistics vehicle during logistics transportation; a response module, used to respond to the exception handling request and obtain abnormal information generated by the logistics vehicle during transportation; a matching module, used to determine type information of the abnormal information based on the abnormal information and using an abnormal type table; and a traversal module, used to determine a solution corresponding to the type information based on the type information and using an abnormal solution database.

[0012] Furthermore, the traversal module is also used to generate reminder information when the solution corresponding to the type information is determined, wherein the reminder information is used to inform the target object of the corresponding handling solution for the abnormal situation, wherein the target object includes the driver, the shipper and the consignee.

[0013] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein when the program is running, the processing method for dealing with logistics transportation anomalies in each embodiment of the present invention is executed.

[0014] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, and the computer-readable storage medium includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the processing method for dealing with logistics transportation anomalies in various embodiments of the present invention.

[0015] According to another aspect of an embodiment of the present invention, a computer program product is also provided, including a computer program, and when the computer program is executed by a processor, the processing method for coping with logistics transportation anomalies in various embodiments of the present invention is implemented.

[0016] According to another aspect of an embodiment of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for dealing with logistics transportation anomalies in various embodiments of the present invention is implemented.

[0017] According to another aspect of an embodiment of the present invention, a computer program is further provided. When the computer program is executed by a processor, the processing method for coping with abnormal logistics transportation in each embodiment of the present invention is implemented.

[0018] In an embodiment of the present invention, a method of receiving an exception handling request is adopted, wherein the exception handling request is used to handle abnormal situations occurring during logistics vehicles' logistics transportation. By responding to the exception handling request, abnormal information generated during the transportation of the logistics vehicles is obtained. Based on the abnormal information and using an abnormal type table, the type information of the abnormal information is determined. Based on the type information and using an abnormal solution database, a solution corresponding to the type information is determined, thereby achieving the purpose of timely handling of abnormal problems during the transportation of logistics vehicles and improving the efficiency of handling abnormal problems, thereby achieving the technical effect of reducing losses, ensuring transportation safety, improving customer satisfaction, and reducing the impact on customers, and further solving the technical problem of low efficiency in handling abnormal situations occurring during logistics transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 is a schematic diagram of a method for dealing with abnormal logistics transportation according to one embodiment of the present invention;

[0021] Figure 2 is a flow chart of another method for dealing with abnormal logistics transportation according to one embodiment of the present invention;

[0022] Figure 3 It is a structural block diagram of a processing device for dealing with abnormal logistics transportation according to one embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] According to an embodiment of the present invention, a method embodiment of a method for dealing with logistics transportation anomalies is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] The method embodiment can be executed in an electronic device or a similar computing device including a memory and a processor. Taking running on a terminal as an example, the terminal may include one or more processors (processors may include but are not limited to central processing units (CPU), graphics processing units (GPU), digital signal processing (DSP) chips, microprocessors (MCU), programmable logic devices (Field Programmable Gate Array, FPGA), neural network processors (Neural-network Processor Unit, NPU), tensor processors (Tensor Processing Unit, TPU), artificial intelligence (Artificial Intelligence, AI) type processors and other processing devices) and a memory for storing data. Optionally, the above-mentioned vehicle terminal may also include a transmission device, an input and output device, and a display device for communication functions. It can be understood by those of ordinary skill in the art that the above-mentioned structural description is only for illustration and does not limit the structure of the above-mentioned vehicle terminal. For example, the terminal may also include more or fewer components than the above-mentioned structural description, or have a configuration different from the above-mentioned structural description.

[0027] The memory can be used to store computer programs, for example, software programs and modules of application software, such as a computer program corresponding to a method for dealing with logistics transportation anomalies in an embodiment of the present invention. The processor executes various functional applications and data processing by running the computer program stored in the memory, that is, realizing the above-mentioned method for dealing with logistics transportation anomalies. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0028] The transmission device is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0029] The display device may be, for example, a touch screen type liquid crystal display (LCD) and a touch display (also referred to as a "touch screen" or "touch display screen"). The liquid crystal display may enable a user to interact with a user interface of a mobile terminal. In some embodiments, the mobile terminal has a graphical user interface (GUI), and a user may interact with the GUI by finger contacts and / or gestures on a touch-sensitive surface, wherein the human-computer interaction functions here may optionally include the following interactions: creating web pages, drawing, word processing, making electronic documents, games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital videos, playing digital music and / or web browsing, etc. The executable instructions for executing the above human-computer interaction functions are configured / stored in a computer program product or readable storage medium executable by one or more processors.

[0030] Figure 1 is a flow chart of a method for dealing with abnormal logistics transportation according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0031] Step S10, receiving an exception handling request, wherein the exception handling request is used to request handling of an abnormal situation that occurs during the logistics transportation of a logistics vehicle;

[0032] In step S10, exception handling, i.e. handling of exceptions in the logistics transportation process, is an important part of ensuring smooth transportation, improving efficiency and reducing costs. By timely discovering and effectively resolving these exceptions, not only delays, losses and disputes can be reduced, but also customer satisfaction and corporate competitiveness can be greatly improved.

[0033] Step S12, obtaining abnormal information generated by the logistics vehicle during the transportation process in response to the abnormal processing request;

[0034] In step S12, abnormal information in logistics transportation can be roughly divided into the following categories:

[0035] Delayed delivery: Due to weather, traffic, equipment failure, etc., the goods do not arrive at the destination as expected, resulting in delayed delivery.

[0036] Damaged or lost goods: During transportation, goods may be damaged or lost for various reasons and cannot be delivered normally.

[0037] Unclear or untimely information: In the logistics tracking system, sometimes unclear or untimely information may occur, making it difficult to determine the real-time location of the goods.

[0038] Recipient information problem: If the recipient's phone number cannot be reached, the courier address is filled in incorrectly, or the delivery address has been changed, delivery cannot be completed.

[0039] Customs clearance issues: For cross-border logistics, customs clearance issues may cause goods to be detained at customs, affecting normal delivery.

[0040] Step S14, based on the abnormal information, using the abnormal type table, determining the type information of the abnormal information;

[0041] In step S14, mainly based on the exception information, the type information of the exception information is determined from the exception information and the exception type table using the TF-IDF algorithm and the BF algorithm.

[0042] The TF-IDF algorithm is a commonly used text mining technique for evaluating the importance of a word in a document set. By calculating the word frequency and inverse document frequency, TF-IDF can highlight keywords that appear frequently in a specific document but less frequently in other documents. The BF algorithm is a brute force algorithm that compares the target string and the pattern string character by character to determine whether they match.

[0043] First, the logistics and transportation anomaly reporting information is segmented in turn to obtain segmentation information. Then, the TF-IDF algorithm is used to extract keywords from the segmentation information, and the BF algorithm is used to match the extracted keywords and the logistics and transportation anomaly type table to determine the corresponding logistics and transportation anomaly type.

[0044] In one embodiment of the present invention, when the BF algorithm is used to match and extract keywords and the exception type table, when the matching result is empty, the extracted keywords are recorded in the exception type table and sent to the corresponding person in charge for processing via email / text message; the corresponding person in charge obtains the type information of the corresponding exception information through the feedback data of the App / client and synchronizes it to the exception type table.

[0045] Therefore, by combining the logistics transportation anomaly type table, TF-IDF algorithm and BF algorithm, various abnormal situations in the transportation process can be identified and handled more efficiently. This not only helps to ensure the safety and timely delivery of goods, but also improves the service quality and customer satisfaction of enterprises. With the continuous advancement of technology, more efficient algorithms may be developed in the future to further improve the management level and service quality of the logistics industry.

[0046] Step S16, based on the type information, using an exception solution database, determining a solution corresponding to the type information;

[0047] In step S16, the abnormality solution database is a database that carefully classifies the types of transportation abnormalities by collecting historical data and cases. According to different transportation links and possible problems, transportation abnormalities are divided into several categories listed in step S12, and each category of abnormalities can be further subdivided to more accurately locate the problem and collect corresponding solutions.

[0048] Therefore, based on the type information, the abnormal solution database can be used to determine the solution corresponding to the type information. Moreover, the abnormal solution database is continuously updated and improved during use to adapt to the ever-changing actual needs.

[0049] When a solution corresponding to the type information is determined, a reminder message is generated, wherein the reminder message is used to inform the target object of the corresponding abnormal situation processing solution. When it is determined that the reminder message is generated, the processing progress is periodically obtained. The processing progress includes: processing, unprocessed, and processed. Based on the processing progress, processing progress information is generated, and the processing progress information is pushed to the target object. The target object includes the driver, the consignor, and the consignee.

[0050] Based on the above steps S10 to S16, in an embodiment of the present invention, a method of receiving an exception handling request is adopted, wherein the exception handling request is used to handle abnormal situations occurring during logistics vehicles' logistics transportation. By responding to the exception handling request, the abnormal information generated during the transportation of the logistics vehicle is obtained, and based on the abnormal information and using the abnormal type table, the type information of the abnormal information is determined. Based on the type information and using the abnormal solution database, the solution corresponding to the type information is determined, thereby achieving the purpose of timely handling of abnormal problems in the transportation process of logistics vehicles and improving the efficiency of handling abnormal problems, thereby achieving the technical effect of reducing losses, ensuring transportation safety, improving customer satisfaction, and reducing the impact on customers, and further solving the technical problem of low efficiency in handling abnormal situations occurring during logistics transportation.

[0051] In the method for dealing with logistics and transportation anomalies described in another embodiment of the present invention, after determining the solution corresponding to the type information, the processing method also includes: generating reminder information when determining the solution corresponding to the type information, wherein the reminder information is used to inform the target object of the corresponding handling plan for the abnormal situation, wherein the target object includes the driver, the shipper and the consignee.

[0052] After finding a solution, you also need to generate a reminder message to inform the target object about the solution to the abnormal situation. The target objects here mainly include drivers, shippers and consignees. The reminder message can be sent via SMS, email or other communication tools. The content should be concise and clear to ensure that all parties can understand the situation in time and take corresponding actions.

[0053] Wherein, based on the exception information, determining the type information of the exception information using the exception type table includes the following steps: based on the exception information, determining the type information of the exception information from the exception information and the exception type table using the TF-IDF algorithm and the BF algorithm.

[0054] By combining the application of these two algorithms, the specific exception type can be determined more efficiently from the exception information and the exception type table. This not only improves the processing efficiency, but also provides an accurate basis for subsequent solutions.

[0055] The above-mentioned use of the TF-IDF algorithm and the BF algorithm to determine the type information of the abnormal information from the abnormal information and the abnormal type table includes the following specific steps: performing word segmentation processing on the abnormal information in sequence to obtain word segmentation information; using the TF-IDF algorithm to extract keywords from the word segmentation information, and using the BF algorithm to match the extracted keywords and the abnormal type table to determine the type information of the corresponding abnormal information. According to the determined abnormal type, the logistics department will formulate corresponding handling measures, and communicate and coordinate with relevant parties to ensure that the abnormal situation is properly handled.

[0056] After the BF algorithm is used to match and extract the keywords and the exception type table, the processing method also includes: when the BF algorithm is used to match and extract the keywords and the exception type table, the matching result is empty, the extracted keywords are recorded in the exception type table, and sent to the corresponding person in charge for processing; in response to the feedback data of the corresponding person in charge, the type information of the corresponding exception information is obtained and synchronized to the exception type table. This dynamic update mechanism ensures the flexibility and adaptability of the system, and can continuously optimize and improve the exception handling process. Abnormal situations encountered during logistics and transportation can be handled in a timely and effective manner. This not only improves work efficiency, but also ensures the safety and reliability of logistics and transportation.

[0057] After the reminder information is generated, the processing method further includes: when it is determined that the reminder information is generated, periodically obtaining the processing progress, wherein the processing progress includes being processed, unprocessed, and processed. Based on the processing progress, the processing progress information is generated and pushed to the target object. The synchronization and visibility of the processing progress can be effectively improved. Therefore, by obtaining abnormal information in real time, formulating reasonable processing measures, periodically updating the processing progress, and notifying all relevant parties in a timely manner, it can be ensured that the abnormal situation is properly handled and the goods are delivered safely and on time.

[0058] Figure 2 FIG. 1 is a flowchart of another method for dealing with abnormal logistics transportation according to one embodiment of the present invention. Figure 2 As shown, the method comprises the following steps:

[0059] Step S201, receiving an exception handling request, wherein the exception handling request is used to handle an abnormal situation that occurs during the logistics transportation of a logistics vehicle;

[0060] Step S202, in response to the exception handling request, obtaining exception information generated by the logistics vehicle during the transportation process;

[0061] Step S203, performing word segmentation processing on the abnormal information in sequence to obtain word segmentation information;

[0062] Step S204, using the TF-IDF algorithm to extract keywords from the word segmentation information, and using the BF algorithm to match the extracted keywords with the abnormality type table to determine the corresponding type information of the abnormality information;

[0063] Step S205, based on the type information, using the exception solution database, determine a solution corresponding to the type information;

[0064] Step S206, generating reminder information when a solution corresponding to the type information is determined, wherein the reminder information is used to inform the target object of the corresponding solution for handling the abnormal situation, wherein the target object includes the driver, the consignor, and the consignee;

[0065] Step S207, when it is determined that the reminder information is generated, periodically obtain the processing progress, wherein the processing progress includes being processed, unprocessed and processed, generate processing progress information based on the processing progress, and push the processing progress information to the target object.

[0066] Based on the above steps S201 to S207, in an embodiment of the present invention, a method of receiving an exception handling request is adopted, wherein the exception handling request is used to handle abnormal situations occurring during logistics vehicles' logistics transportation. By responding to the exception handling request, the abnormal information generated during the transportation of the logistics vehicle is obtained. Based on the abnormal information and using the abnormal type table, the type information of the abnormal information is determined. Based on the type information and using the abnormal solution database, the solution corresponding to the type information is determined, thereby achieving the purpose of timely handling of abnormal problems in the transportation process of logistics vehicles and improving the efficiency of handling abnormal problems, thereby achieving the technical effect of reducing losses, ensuring transportation safety, improving customer satisfaction, and reducing the impact on customers, and further solving the technical problem of low efficiency in handling abnormal situations occurring during logistics transportation.

[0067] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0068] In an embodiment of the present invention, a device for site selection and planning of a remote distribution warehouse is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and will not be repeated hereafter. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0069] Figure 3 FIG. 1 is a structural block diagram of a processing device for dealing with abnormal logistics transportation according to one embodiment of the present invention. Figure 3 As shown, the device comprises:

[0070] The receiving module 301 is used to receive an exception handling request, wherein the exception handling request is used to handle an abnormal situation that occurs during the logistics transportation of a logistics vehicle;

[0071] A response module 302 is used to respond to the exception handling request and obtain the exception information generated by the logistics vehicle during the transportation process;

[0072] A matching module 303, configured to determine type information of the exception information based on the exception information and using an exception type table;

[0073] The traversal module 304 is used to determine a solution corresponding to the type information based on the type information and using an exception solution database.

[0074] Furthermore, the traversal module 304 is also used to generate reminder information when a solution corresponding to the type information is determined, wherein the reminder information is used to inform the target object of the corresponding handling solution for the abnormal situation, wherein the target object includes the driver, the shipper and the consignee.

[0075] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0076] According to one embodiment of the present invention, there is also provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the above-mentioned method for dealing with logistics transportation anomalies is executed when the program is running.

[0077] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0078] Step S1, receiving an exception handling request, wherein the exception handling request is used to handle an abnormal situation that occurs during the logistics transportation of a logistics vehicle;

[0079] Step S2, in response to the exception handling request, obtaining the exception information generated by the logistics vehicle during the transportation process;

[0080] Step S3, based on the abnormal information, using the abnormal type table, determining the type information of the abnormal information;

[0081] Step S4: Based on the type information, using the exception solution database, determine a solution corresponding to the type information.

[0082] According to one embodiment of the present invention, a computer-readable storage medium is also provided, which includes a stored executable program, wherein when the executable program is running, the device where the storage medium is located is controlled to execute the above-mentioned method for dealing with logistics transportation anomalies.

[0083] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0084] Step S1, receiving an exception handling request, wherein the exception handling request is used to handle an abnormal situation that occurs during the logistics transportation of a logistics vehicle;

[0085] Step S2, in response to the exception handling request, obtaining the exception information generated by the logistics vehicle during the transportation process;

[0086] Step S3, based on the abnormal information, using the abnormal type table, determining the type information of the abnormal information;

[0087] Step S4: Based on the type information, using the exception solution database, determine a solution corresponding to the type information.

[0088] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0089] According to one embodiment of the present invention, a computer program product is also provided, including a computer program, and when the computer program is executed by a processor, the computer program implements the above-mentioned method for dealing with logistics transportation anomalies.

[0090] Optionally, in this embodiment, the computer program product may be configured as a computer program for executing the following steps:

[0091] Step S1, receiving an exception handling request, wherein the exception handling request is used to handle an abnormal situation that occurs during the logistics transportation of a logistics vehicle;

[0092] Step S2, in response to the exception handling request, obtaining the exception information generated by the logistics vehicle during the transportation process;

[0093] Step S3, based on the abnormal information, using the abnormal type table, determining the type information of the abnormal information;

[0094] Step S4: Based on the type information, using the exception solution database, determine a solution corresponding to the type information.

[0095] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0096] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0097] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0098] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0099] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0100] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0101] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0102] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for dealing with abnormal logistics transportation, characterized in that: include: Receiving an exception handling request, wherein the exception handling request is used to handle an abnormal situation that occurs during the logistics transportation of a logistics vehicle; In response to the exception handling request, obtaining exception information generated by the logistics vehicle during the transportation process; Based on the exception information, using an exception type table, determining type information of the exception information; Based on the type information, a solution corresponding to the type information is determined using an exception solution resolution database.

2. The processing method according to claim 1, characterized in that: After determining the solution corresponding to the type information, the processing method further includes: When the solution corresponding to the type information is determined, a reminder message is generated, wherein the reminder message is used to inform the target object of the corresponding solution to the abnormal situation, wherein the target object includes the driver, the shipper and the consignee.

3. The processing method according to claim 2, characterized in that: Based on the exception information, using the exception type table, determining the type information of the exception information includes: Based on the exception information, the type information of the exception information is determined from the exception information and the exception type table by using a TF-IDF algorithm and a BF algorithm.

4. The processing method according to claim 3, characterized in that: Determining the type information of the abnormal information from the abnormal information and the abnormal type table by using the TF-IDF algorithm and the BF algorithm includes: Performing word segmentation processing on the abnormal information in sequence to obtain word segmentation information; The TF-IDF algorithm is used to extract keywords from the word segmentation information, and the BF algorithm is used to match the extracted keywords and the abnormal type table to determine the corresponding type information of the abnormal information.

5. The processing method according to claim 4, characterized in that: After the BF algorithm is used to match and extract the keywords and the abnormal type table, the processing method further includes: In the case where the BF algorithm is used to match and extract the keyword and the abnormal type table, if the matching result is empty, the extracted keyword is recorded in the abnormal type table and sent to the corresponding person in charge for processing; In response to the feedback data from the corresponding person in charge, the type information of the corresponding exception information is obtained and synchronized to the exception type table.

6. The processing method according to any one of claims 2 to 5, characterized in that: After generating the reminder information, the processing method further includes: When it is determined that the reminder information is generated, periodically obtaining the processing progress, wherein the processing progress includes being processed, not processed, and processed; Processing progress information is generated based on the processing progress, and the processing progress information is pushed to the target object.

7. A processing device for dealing with abnormal logistics transportation, characterized in that: include: A receiving module, used to receive an exception handling request, wherein the exception handling request is used to handle an abnormal situation that occurs during the logistics transportation of a logistics vehicle; A response module, used to respond to the exception handling request and obtain the exception information generated by the logistics vehicle during the transportation process; A matching module, configured to determine type information of the exception information based on the exception information and using an exception type table; The traversal module is used to determine a solution corresponding to the type information by using an exception solution database based on the type information.

8. The processing device according to claim 7, characterized in that The traversal module is also used to: When the solution corresponding to the type information is determined, a reminder message is generated, wherein the reminder message is used to inform the target object of the corresponding solution to the abnormal situation, wherein the target object includes the driver, the shipper and the consignee.

9. An electronic device, characterized in that: include: A memory storing an executable program; A processor is used to run the program, wherein when the program is running, the method for dealing with logistics transportation anomalies described in any one of claims 1 to 6 is executed.

10. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the method for dealing with logistics transportation anomalies according to any one of claims 1 to 6.

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