Logistics docking management method, system and device based on in-transit trajectory

Abstract

The invention discloses a logistics docking management method, system and device based on an in-transit trajectory, and the method comprises the steps: determining a static timestamp of a logistics query request in response to the logistics query request; searching a transport vehicle and in-transit track information, wherein the in-transit track information comprises the latest GPS positioning uploaded at the last time and the corresponding latest timestamp; if the in-transit track of the transport vehicle from the static timestamp to the current timestamp is not updated, starting track abnormity judgment logic, and judging whether the time interval from the latest timestamp to the current timestamp exceeds first set time or not; if the time interval is smaller than the first set time, turning off the driver contact button, displaying that the in-transit trajectory is normal, and restarting the trajectory abnormality judgment logic at preset time intervals; and when the time interval exceeds the first set time, displaying that the in-transit track is abnormal and / or requesting the driver terminal to start GPS positioning, and starting a driver contact button. According to abnormal situations of different tracks, opening and closing of the driver contact button are controlled, and driving safety is ensured.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to a logistics docking management method, system and device based on in-transit trajectory. Background Art

[0002] Long-distance freight missions usually take several days to complete. When driving, drivers sometimes do not need to navigate or take orders in traffic jams or on highways. In order to save power, drivers usually intermittently turn off the module or application that uploads GPS positioning. In actual situations, it is not realistic to continuously upload vehicle positioning information for a long time.

[0003] Therefore, when upstream cargo owners find that the vehicle's in-transit track is missing and the GPS position has not changed, they are likely to think that there is an abnormal situation and will inquire at the customer service platform. The customer service staff will call the driver to take inventory of the goods in transit and then provide feedback to the cargo owner. Truck drivers are prone to become irritated when faced with irregular calls to check and urge delivery, which affects driving safety. Summary of the invention

[0004] In order to solve the technical problems existing in the background technology, the present invention proposes a logistics docking management method, system and device based on in-transit trajectory, which solves the problem that when the in-transit trajectory of the vehicle is missing, if the customer service frequently contacts the driver by phone after receiving the cargo owner's inquiry request, it is easy to affect the driver's mood and driving safety.

[0005] The present invention proposes a logistics docking management method based on in-transit trajectories, comprising:

[0006] In response to the logistics query request, determining a static timestamp of the logistics query request;

[0007] Find the corresponding transport vehicle and in-transit track information according to the logistics query request, and the in-transit track information includes the latest GPS location uploaded last time and the corresponding latest timestamp;

[0008] When the in-transit trajectory of the transport vehicle from the static timestamp to the current timestamp is not updated, the trajectory abnormality judgment logic is started. The trajectory abnormality judgment logic specifically includes:

[0009] Determine whether the time interval from the latest timestamp to the current timestamp exceeds the first set time;

[0010] If the time interval from the latest timestamp to the current timestamp is less than the first set time, the contact driver button is turned off, the en route trajectory is displayed as normal, and the trajectory abnormality judgment logic is started again after a preset time interval;

[0011] If the time interval from the latest timestamp to the current timestamp exceeds the first set time, it is displayed that the on-the-way trajectory is abnormal and / or the driver's terminal is requested to turn on GPS positioning, and the contact driver button is turned on.

[0012] As a further improvement of the present invention, when the in-transit track of the transport vehicle from the static timestamp to the current timestamp is updated, the current GPS location is updated in real time and the contact driver button is turned off.

[0013] As a further improvement of the present invention, the trajectory abnormality judgment logic further includes:

[0014] When the time interval from the latest timestamp to the current timestamp exceeds the first set time, it is determined that the transport vehicle is on the highway according to the latest GPS positioning;

[0015] Acquiring driving status data of the transport vehicle, wherein the driving status data includes vehicle speed and vehicle gear position;

[0016] Determine whether the transport vehicle is driving normally based on the driving status data;

[0017] If yes, turn off the Contact Driver button;

[0018] If not, turn on the Contact Driver button.

[0019] As a further improvement of the present invention, the trajectory abnormality judgment logic further includes:

[0020] When the time interval from the latest timestamp to the current timestamp exceeds the first set time, determining whether the latest timestamp is within the driving restriction time;

[0021] If yes, turn on the contact driver button;

[0022] If no, turn off the Contact Driver button.

[0023] As a further improvement of the present invention, the trajectory abnormality judgment logic also includes: when the time interval from the latest timestamp to the current timestamp exceeds the first set time, it is determined that the transport vehicle is in the service area based on the latest GPS positioning, and a contact driver button is turned on.

[0024] As a further improvement of the present invention, the trajectory abnormality judgment logic further includes:

[0025] When the time interval from the latest timestamp to the current timestamp exceeds the first set time, obtaining GPS positioning information of the transport vehicle in the abnormal time period adjacent to the latest timestamp;

[0026] Determine whether the transport vehicle is in a traffic jam section or whether the transport vehicle has a breakdown based on the GPS positioning information of the transport vehicle during the abnormal time period;

[0027] If yes, turn off the Contact Driver button;

[0028] If not, turn on the Contact Driver button.

[0029] The present invention also proposes a logistics docking management system based on in-transit trajectories, comprising:

[0030] An acquisition module, used for determining a static timestamp of the logistics query request in response to the logistics query request;

[0031] Track query module, used to find the corresponding transport vehicle and in-transit track information according to the logistics query request, the in-transit track information includes the latest GPS location uploaded last time and the corresponding latest timestamp;

[0032] A trajectory abnormality judgment module is used to start the trajectory abnormality judgment logic when the in-transit trajectory of the transport vehicle from the static timestamp to the current timestamp is not updated, and judge whether the time interval from the latest timestamp to the current timestamp exceeds the first set time;

[0033] The processing module is used to close the contact driver button if the time interval from the latest timestamp to the current timestamp is less than the first set time, display that the on-the-way trajectory is normal, and restart the trajectory abnormality judgment logic after a preset interval; and is also used to display that the on-the-way trajectory is abnormal and / or request the driver terminal to turn on GPS positioning, and turn on the contact driver button if the time interval from the latest timestamp to the current timestamp exceeds the first set time.

[0034] As a further improvement of the present invention, the trajectory abnormality judgment module is also used to determine that the transport vehicle is on a highway based on the latest GPS positioning when the time interval from the latest timestamp to the current timestamp exceeds a first set time; obtain driving status data of the transport vehicle, the driving status data including the vehicle speed and the vehicle gear; and determine whether the transport vehicle is driving normally based on the driving status data.

[0035] The present invention also proposes a logistics docking management device based on in-transit trajectory, comprising: a memory and a processor, the memory being used to store information including program instructions, the processor being used to control the execution of program instructions, and the program instructions being loaded and executed by the processor to implement the above-mentioned logistics docking management method based on in-transit trajectory.

[0036] Beneficial effects:

[0037] The present invention responds to a logistics query request and determines the static timestamp of the logistics query request; searches for the corresponding transport vehicle and in-transit track information according to the logistics query request, and further determines the latest GPS location of the transport vehicle uploaded last time and the corresponding latest timestamp; when the in-transit track of the transport vehicle from the static timestamp to the current timestamp is not updated, it indicates that the transport vehicle track is missing at this time, and the track abnormality judgment logic is started for this, and the track abnormality judgment logic specifically includes: judging whether the time interval from the latest timestamp to the current timestamp exceeds the first set time, thereby judging the duration of the in-transit track missing abnormality, and performing different operations according to different abnormal situations; if the time interval is less than the first set time, close the contact driver button, display the in-transit track is normal, and start the track abnormality judgment logic again after a preset interval; if the time interval exceeds the first set time, display the in-transit track abnormality and / or request the driver terminal to turn on GPS positioning, and turn on the contact driver button. Intelligently identify and control the opening and closing of the contact driver button in the scenario of in-transit track missing, to avoid the problem of customer service frequently contacting the driver by phone, which affects driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a flow chart of a logistics docking management method based on in-transit trajectory proposed by the present invention;

[0039] Figure 2 This is a flow chart of the trajectory abnormality judgment logic proposed in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] like Figure 1 As shown, Figure 1 This is a flow chart of a logistics docking management method based on in-transit trajectories according to an embodiment of the present invention;

[0041] Reference Figure 1 , a logistics docking management method based on in-transit trajectory proposed in an embodiment of the present invention includes:

[0042] S100: In response to a logistics query request, determining a static timestamp of the logistics query request;

[0043] After receiving the logistics query request from the upstream cargo owner, the static timestamp corresponding to the logistics query request is locked, and the static timestamp is after the latest timestamp corresponding to the latest GPS positioning uploaded last time.

[0044] S101: searching for the corresponding transport vehicle and in-transit track information according to the logistics query request, wherein the in-transit track information includes the latest GPS location uploaded last time and the corresponding latest timestamp;

[0045] When the driver closes the application or GPS module, the GPS signal is lost and the in-transit track also stops uploading positioning information. At this time, the in-transit track displays the latest GPS location of the transport vehicle and the corresponding timestamp uploaded by the terminal for the last time. The cargo owner sees that the latest GPS location has remained unchanged and may think that there is an abnormality in the cargo transportation.

[0046] S102: When the in-transit trajectory of the transport vehicle from the static timestamp to the current timestamp is not updated, the trajectory abnormality judgment logic is started, such as Figure 2 As shown in FIG. 1 , the trajectory abnormality judgment logic specifically includes:

[0047] When the system determines that the in-transit track of the transport vehicle has not been updated from the static timestamp to the current timestamp, and the latest GPS positioning has not changed, it is necessary to further determine whether the in-transit track is abnormal. Analyze different abnormal situations, such as the loading and unloading stage of the transit warehouse, in-transit transportation failure, traffic jam, positioning closure, etc.

[0048] S1021: Determine whether the time interval from the latest timestamp to the current timestamp exceeds a first set time;

[0049] In this embodiment, the abnormal situation is determined by judging the duration of the abnormal missing track in transit, so that different operations can be performed according to different abnormal situations in the next step.

[0050] S1022: If the time interval from the latest timestamp to the current timestamp is less than the first set time, the contact driver button is turned off, the en route trajectory is displayed as normal, and the trajectory abnormality judgment logic is started again after a preset time interval;

[0051] In this implementation, the time interval of the missing in-transit track is less than the first set time, indicating that the in-transit track of the transport vehicle is missing due to the driver temporarily shutting down the application or GPS module, or poor GPS signal on a certain section of the route. In this regard, the system generally determines that the in-transit track is normal if the track loss time is short, and it does not belong to an abnormal situation, and the customer service does not need to contact the driver by phone.

[0052] S1023: If the time interval from the latest timestamp to the current timestamp exceeds the first set time, the on-the-way trajectory is displayed as abnormal and / or the driver terminal is requested to turn on GPS positioning, and the contact driver button is turned on.

[0053] In this implementation, the time interval of the missing in-transit trajectory exceeds the first set time, indicating that the current transport vehicle has not uploaded the real-time positioning information for a long time. The in-transit trajectory may also be lost due to abnormal conditions such as traffic jams, the driver turning off the application or GPS module to save power, and poor GPS signals. However, the loss time is too long. In order to avoid the owner's worries and monitor the driver's transportation situation, the system generally determines that the in-transit trajectory is abnormal. The customer service needs to contact the driver by phone and request the driver's terminal to turn on GPS to upload the positioning location.

[0054] This embodiment can intelligently identify and control the opening and closing of the contact driver button in the scenario where the en-route track is missing, thereby avoiding the problem that customer service frequently contacts the driver by phone, which affects driving safety.

[0055] In some implementations, S103: when the in-transit track of the transport vehicle from the static timestamp to the current timestamp is updated, the current GPS location is updated in real time, and the contact driver button is turned off.

[0056] In some implementations, the trajectory abnormality determination logic further includes:

[0057] When the time interval from the latest timestamp to the current timestamp exceeds the first set time, it is determined that the transport vehicle is on the highway according to the latest GPS positioning;

[0058] Acquiring driving status data of the transport vehicle, wherein the driving status data includes vehicle speed and vehicle gear position;

[0059] Determine whether the transport vehicle is driving normally based on the driving status data;

[0060] If yes, turn off the Contact Driver button;

[0061] If not, turn on the Contact Driver button.

[0062] In this embodiment, based on the vehicle speed and vehicle gear position, it is possible to determine whether the vehicle is driving slowly, driving quickly, driving at high speed, or parked, and whether the transport vehicle is driving normally, in traffic jam, abnormal parking, or vehicle failure, and to perform different operations accordingly. If the vehicle is driving normally, in order to avoid interfering with the driver's driving, especially on highways, the contact driver button is generally turned off. If the transport vehicle is driving abnormally, it is recommended to turn on the contact driver button. In this embodiment, abnormal driving is usually a common obstacle, not including collision, rollover, etc.

[0063] In some implementations, the trajectory abnormality determination logic further includes:

[0064] When the time interval from the latest timestamp to the current timestamp exceeds the first set time, determining whether the latest timestamp is within the driving restriction time;

[0065] If yes, turn on the contact driver button;

[0066] If no, turn off the Contact Driver button.

[0067] In this embodiment, it is considered that some drivers forget to reopen the application or GPS module after a certain interval after closing it, and it is also considered that during the driver's rest time, the driver can be contacted by phone to confirm the transportation status of the goods in transit to avoid affecting driving safety.

[0068] In some embodiments, the trajectory abnormality judgment logic further includes: when the time interval from the latest timestamp to the current timestamp exceeds a first set time, determining that the transport vehicle is in a service area based on the latest GPS positioning, and turning on a contact driver button.

[0069] In some implementations, the trajectory abnormality determination logic further includes:

[0070] When the time interval from the latest timestamp to the current timestamp exceeds the first set time, obtaining GPS positioning information of the transport vehicle in the abnormal time period adjacent to the latest timestamp;

[0071] Determine whether the transport vehicle is in a traffic jam section or whether the transport vehicle has a breakdown based on the GPS positioning information of the transport vehicle during the abnormal time period;

[0072] If yes, turn off the Contact Driver button;

[0073] If not, turn on the Contact Driver button.

[0074] The present invention also proposes a logistics docking management system based on in-transit trajectories, comprising:

[0075] An acquisition module, used for determining a static timestamp of the logistics query request in response to the logistics query request;

[0076] Track query module, used to find the corresponding transport vehicle and in-transit track information according to the logistics query request, the in-transit track information includes the latest GPS location uploaded last time and the corresponding latest timestamp;

[0077] A trajectory abnormality judgment module is used to start the trajectory abnormality judgment logic when the in-transit trajectory of the transport vehicle from the static timestamp to the current timestamp is not updated, and judge whether the time interval from the latest timestamp to the current timestamp exceeds the first set time;

[0078] The processing module is used to close the contact driver button if the time interval from the latest timestamp to the current timestamp is less than the first set time, display that the on-the-way trajectory is normal, and restart the trajectory abnormality judgment logic after a preset interval; and is also used to display that the on-the-way trajectory is abnormal and / or request the driver terminal to turn on GPS positioning, and turn on the contact driver button if the time interval from the latest timestamp to the current timestamp exceeds the first set time.

[0079] In some embodiments, the trajectory abnormality judgment module is also used to determine that the transport vehicle is on a highway based on the latest GPS positioning when the time interval from the latest timestamp to the current timestamp exceeds the first set time; obtain driving status data of the transport vehicle, the driving status data including the vehicle speed and the vehicle gear; and determine whether the transport vehicle is driving normally based on the driving status data.

[0080] In some embodiments, the trajectory abnormality judgment module is also used to obtain the GPS positioning information of the transport vehicle in the abnormal time period adjacent to the latest timestamp when the time interval from the latest timestamp to the current timestamp exceeds the first set time; and judge whether the transport vehicle is in a traffic jam section or whether the transport vehicle has a fault based on the GPS positioning information of the transport vehicle in the abnormal time period.

[0081] The present invention also proposes a logistics docking management device based on in-transit trajectory, comprising: a memory and a processor, the memory being used to store information including program instructions, the processor being used to control the execution of program instructions, and the program instructions being loaded and executed by the processor to implement the above-mentioned logistics docking management method based on in-transit trajectory.

[0082] It should be noted that the program in the above embodiment can be any combination of one or more programming languages ​​to write program codes for executing the operation of the embodiment of the present application, and the programming language includes object-oriented programming languages, such as Java, C++, etc., and also includes conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed completely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on the remote computing device, or completely on the remote computing device or server.

[0083] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0084] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A logistics docking management method based on in-transit trajectories, characterized in that: include: In response to the logistics query request, determining a static timestamp of the logistics query request; Find the corresponding transport vehicle and in-transit track information according to the logistics query request, and the in-transit track information includes the latest GPS location uploaded last time and the corresponding latest timestamp; When the in-transit trajectory of the transport vehicle from the static timestamp to the current timestamp is not updated, the trajectory abnormality judgment logic is started. The trajectory abnormality judgment logic specifically includes: Determine whether the time interval from the latest timestamp to the current timestamp exceeds the first set time; If the time interval from the latest timestamp to the current timestamp is less than the first set time, the contact driver button is turned off, the en route trajectory is displayed as normal, and the trajectory abnormality judgment logic is started again after a preset time interval; If the time interval from the latest timestamp to the current timestamp exceeds the first set time, it is displayed that the on-the-way trajectory is abnormal and / or the driver's terminal is requested to turn on GPS positioning, and the contact driver button is turned on.

2. A logistics docking management method based on in-transit trajectory according to claim 1, characterized in that: When the in-transit trajectory of the transport vehicle from the static timestamp to the current timestamp is updated, the current GPS location is updated in real time and the contact driver button is closed.

3. The logistics docking management method based on in-transit trajectory according to claim 1 is characterized in that: The trajectory abnormality judgment logic also includes: When the time interval from the latest timestamp to the current timestamp exceeds the first set time, it is determined that the transport vehicle is on the highway according to the latest GPS positioning; Acquiring driving status data of the transport vehicle, wherein the driving status data includes vehicle speed and vehicle gear position; Determine whether the transport vehicle is driving normally based on the driving status data; If yes, turn off the Contact Driver button; If not, turn on the Contact Driver button.

4. The logistics docking management method based on in-transit trajectory according to claim 1 is characterized in that: The trajectory abnormality judgment logic also includes: When the time interval from the latest timestamp to the current timestamp exceeds the first set time, determining whether the latest timestamp is within the driving restriction time; If yes, turn on the contact driver button; If no, turn off the Contact Driver button.

5. The logistics docking management method based on in-transit trajectory according to claim 1 is characterized in that: The track abnormality judgment logic also includes: when the time interval from the latest timestamp to the current timestamp exceeds a first set time, it is determined that the transport vehicle is in a service area according to the latest GPS positioning, and a contact driver button is turned on.

6. The method for logistics docking management based on in-transit trajectory according to claim 1 is characterized in that: The trajectory abnormality judgment logic also includes: When the time interval from the latest timestamp to the current timestamp exceeds the first set time, obtaining GPS positioning information of the transport vehicle in the abnormal time period adjacent to the latest timestamp; Determine whether the transport vehicle is in a traffic jam section or whether the transport vehicle has a breakdown based on the GPS positioning information of the transport vehicle during the abnormal time period; If yes, turn off the Contact Driver button; If not, turn on the Contact Driver button.

7. A logistics docking management system based on in-transit trajectories, characterized in that: include: An acquisition module, for determining a static timestamp of the logistics query request in response to the logistics query request; Track query module, used to find the corresponding transport vehicle and in-transit track information according to the logistics query request, the in-transit track information includes the latest GPS location uploaded last time and the corresponding latest timestamp; A trajectory abnormality judgment module is used to start the trajectory abnormality judgment logic when the in-transit trajectory of the transport vehicle from the static timestamp to the current timestamp is not updated, and judge whether the time interval from the latest timestamp to the current timestamp exceeds the first set time; The processing module is used to close the contact driver button if the time interval from the latest timestamp to the current timestamp is less than the first set time, display that the on-the-way trajectory is normal, and restart the trajectory abnormality judgment logic after a preset interval; and is also used to display that the on-the-way trajectory is abnormal and / or request the driver terminal to turn on GPS positioning, and turn on the contact driver button if the time interval from the latest timestamp to the current timestamp exceeds the first set time.

8. The logistics docking management system based on in-transit trajectory according to claim 7 is characterized in that: The trajectory abnormality judgment module is also used to determine that the transport vehicle is on a highway based on the latest GPS positioning when the time interval from the latest timestamp to the current timestamp exceeds a first set time; obtain driving status data of the transport vehicle, the driving status data including vehicle speed and vehicle gear; and determine whether the transport vehicle is driving normally based on the driving status data.

9. A logistics docking management device based on in-transit trajectory, characterized in that: include: A memory and a processor, wherein the memory is used to store information including program instructions, and the processor is used to control the execution of the program instructions, characterized in that: when the program instructions are loaded and executed by the processor, a logistics docking management method based on in-transit trajectory as described in any one of claims 1 to 5 is implemented.

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