CN113065835A

CN113065835A - Logistics guide information generation method and device, electronic equipment and storage medium

Info

Publication number: CN113065835A
Application number: CN202110500499.2A
Authority: CN
Inventors: 王金良; 韩菲
Original assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Current assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Priority date: 2021-05-08
Filing date: 2021-05-08
Publication date: 2021-07-02

Abstract

The present disclosure provides a method, an apparatus, an electronic device and a computer-readable storage medium for generating logistics guide information; relates to the technical field of logistics distribution. The logistics guide information generation method comprises the following steps: acquiring the current position of a sender and information of tasks to be completed, wherein the information of the tasks to be completed comprises target position information corresponding to each task to be completed and the type of each task to be completed; dividing each task to be completed into a plurality of preset areas according to the target position corresponding to each task to be completed; calculating the task duration of each preset area according to the number of the tasks to be completed in each preset area and the type of the tasks to be completed; and determining logistics guide information according to the current position of the sender, the positions of the plurality of preset areas and the task duration of each preset area so as to guide the sender to reach each preset area to execute tasks according to the logistics guide information. The present disclosure may improve the efficiency of performing logistics tasks.

Description

Logistics guide information generation method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of logistics distribution technologies, and in particular, to a logistics guidance information generation method, a logistics guidance information generation apparatus, an electronic device, and a computer-readable storage medium based on a logistics distribution technology.

Background

With the explosion of e-commerce and internet economies, more and more users choose to shop online. Accordingly, logistics distribution plays an increasingly important role as the last link from the merchant to the customer. How to improve the work efficiency of logistics dispatching personnel becomes a problem of consistent attention in the industry.

Currently, logistics dispatch personnel dispatch a lot of 30 to 50 items per item, possibly accompanied by other types of tasks such as collecting, picking up, time-limited dispatch, etc. When the logistics task is executed, the goods are classified and arranged and a corresponding delivery route is planned according to the experience and memory of delivery personnel on a destination area; and as the logistics task progresses, the dispatching personnel can repeat the finishing-planning action so as to execute the subsequent task.

However, the distribution method has the defects that the dependence on the experience and memory of the dispatching personnel is large, and the dispatching personnel with insufficient experience cannot plan the dispatching route well; when problems such as missing delivery or missing collection occur, the delivery personnel must return to the previous task area to complete the task, so that the actual delivery route is not the optimal delivery route, and the efficiency of executing the logistics task is reduced.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

An object of the embodiments of the present disclosure is to provide a method for generating logistics guidance information, a device for generating logistics guidance information, an electronic device, and a computer-readable storage medium, so as to improve efficiency of executing a logistics task at least to a certain extent.

According to an aspect of the present disclosure, there is provided a logistics guidance information generation method, including:

acquiring the current position of a sender and information of tasks to be completed, wherein the information of the tasks to be completed comprises target position information corresponding to each task to be completed and the type of each task to be completed;

dividing each task to be completed into a plurality of preset areas according to the target position corresponding to each task to be completed;

calculating the task duration of each preset area according to the number of the tasks to be completed in each preset area and the type of the tasks to be completed;

and determining logistics guide information according to the current position of the sender, the positions of the plurality of preset areas and the task duration of each preset area so as to guide the sender to reach each preset area to execute tasks according to the logistics guide information.

In an exemplary embodiment of the present disclosure, the to-be-completed task information further includes a time priority of each to-be-completed task; determining logistics guide information according to the current position of the sender, the positions of the plurality of preset areas and the task duration of each preset area, wherein the logistics guide information comprises the following steps: determining the time priority of each preset area according to the time priority of the task to be completed in each preset area; and determining the task execution sequence of each preset area according to the current position of the sender, the positions of the preset areas, and the task duration and time priority of each preset area.

In an exemplary embodiment of the present disclosure, the method further comprises: determining a current task area according to the current position of the sender and the number change of the tasks to be completed in each preset area; and sending reminding information to the sender when the fact that the distance between the sender and the current task area is a preset distance and the task to be completed still exists in the current task area is detected.

In an exemplary embodiment of the present disclosure, each preset region includes one or more preset sub-regions.

In an exemplary embodiment of the present disclosure, the method further comprises: dividing each task to be completed into one or more preset sub-areas according to the target position corresponding to each task to be completed in each preset area; determining the time priority of each preset sub-region according to the time priority of the task to be completed in each preset sub-region; and determining the execution task sequence of each preset sub-region according to the current position of the sender, the positions of the plurality of preset sub-regions and the time priority of each preset sub-region.

In an exemplary embodiment of the present disclosure, the method further comprises: determining a current task sub-area according to the current position of the sender and the number change of the tasks to be completed in each sub-preset area; and when the fact that the distance between the sender and the current task sub-area is a preset distance and the task to be completed still exists in the current task sub-area is detected, reminding information is sent to the sender.

In an exemplary embodiment of the present disclosure, the method further comprises: when receiving a temporary task with a target position in the preset area, detecting all dispatchers in the preset range of the preset area, and sending the temporary task to the dispatcher nearest to the preset area.

In an exemplary embodiment of the present disclosure, the method further comprises: updating the current position of the sender and the information of the task to be completed at preset time intervals; and determining updated logistics guide information according to the updated current position of the sender and the information of the task to be completed.

According to an aspect of the present disclosure, there is provided a logistics guidance information generation apparatus including:

the information acquisition module is used for acquiring the current position of the sender and the information of the task to be completed; the task information to be completed comprises target position information corresponding to each task to be completed and the type of each task to be completed; the information processing module is used for dividing each task to be completed into a plurality of preset areas according to the target position corresponding to each task to be completed, calculating the task duration of each preset area according to the number of the tasks to be completed in each preset area and the type of the tasks to be completed, and determining logistics guide information according to the current position of the sender, the positions of the plurality of preset areas and the task duration of each preset area;

and the information sending module is used for sending the logistics guide information to the dispatchers so as to guide the dispatchers to reach the preset areas to execute tasks according to the logistics guide information.

According to an aspect of the present disclosure, there is provided an electronic device including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of any one of the above via execution of the executable instructions.

According to an aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above.

Exemplary embodiments of the present disclosure may have some or all of the following benefits:

in the logistics guidance information generation method provided by the disclosed example embodiment, each task to be completed may be divided into a plurality of preset areas according to a target position corresponding to each task to be completed; calculating the task duration of each preset area according to the number of the tasks to be completed in each preset area and the type of the tasks to be completed; and then determining logistics guide information according to the current position of the sender, the positions of the plurality of preset areas and the task duration of each preset area. On one hand, the logistics tasks of various types can be comprehensively considered, so that the time sequence for processing the logistics tasks of various preset areas is reasonably arranged. On the other hand, the logistics guide information is generated in a uniform mode, dependence on experience and memory of dispatching personnel is eliminated, and the distribution path can be reasonably planned, so that the logistics task execution efficiency is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.

Fig. 1 schematically shows a flowchart of a logistics guidance information generation method according to one embodiment of the present disclosure;

FIG. 2 illustrates a graphical interface diagram of a partitioned preset area in one embodiment according to the present disclosure;

FIG. 3 illustrates a graphical interface diagram after aggregation of logistics tasks by clustering points in accordance with one embodiment of the present disclosure;

fig. 4 illustrates a graphical interface diagram of a recommended logistics route generated by the logistics guide information according to one embodiment of the present disclosure;

fig. 5 schematically shows an interaction flowchart between parts of a logistics system to which a logistics guidance information generation method according to an embodiment of the present disclosure is applied;

fig. 6 schematically shows an overall flowchart of a logistics guidance information generation method according to one embodiment of the present disclosure;

fig. 7 schematically shows a block diagram of a logistics guidance information generation apparatus according to one embodiment of the present disclosure;

FIG. 8 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

The technical solution of the embodiment of the present disclosure is explained in detail below:

the present exemplary embodiment provides a method for generating logistics guidance information. Referring to fig. 1, the logistics guidance information generation method may include the steps of:

s110, acquiring the current position of a dispatcher and information of tasks to be completed, wherein the information of the tasks to be completed comprises target position information corresponding to each task to be completed and the type of each task to be completed;

s120, dividing each task to be completed into a plurality of preset areas according to the target position corresponding to each task to be completed;

s130, calculating according to the number of the tasks to be completed in each preset area and the type of the tasks to be completed to obtain task time of each preset area;

and S140, determining logistics guide information according to the current position of the sender, the positions of the preset areas and the task duration of each preset area so as to guide the sender to reach each preset area to execute tasks according to the logistics guide information.

In the method for generating logistics guidance information provided by the exemplary embodiment, on one hand, various types of logistics tasks can be comprehensively considered, so that the time sequence for processing the logistics tasks in each preset area is reasonably arranged. On the other hand, the logistics guide information is generated in a uniform mode, dependence on experience and memory of dispatching personnel is eliminated, reasonable planning of distribution paths is achieved, and accordingly efficiency of completing logistics tasks is improved.

Next, in another embodiment, the above steps are explained in more detail.

In step S110, a current location of the sender and information of tasks to be completed are obtained, where the information of tasks to be completed includes target location information corresponding to each task to be completed and a type of each task to be completed.

In the present exemplary embodiment, the current location of the dispatch person may be an initial location at which the dispatch person starts performing the dispatch task, or may be a location at which the dispatch person is currently located after completing a portion of the dispatch task.

Illustratively, the server may obtain the current location of the sender through a mobile terminal carried by the sender, where the mobile terminal may be a Personal Digital Assistant (PDA) device; the palm computer device can include but is not limited to a bar code scanner, an RFID reader-writer, a smart phone, a tablet computer and the like which can realize communication network connection. Furthermore, the mobile terminal may also be a wearable device, which may include, but is not limited to, a smart bracelet, smart glasses, etc. that enable communication network connectivity. In the present exemplary embodiment, a palm-top computer device is taken as an example for explanation.

The current location of the sender, which may thus be, for example, the corresponding GPS coordinates, may be determined, for example, by the sender's palm-top computer device and based on Global Positioning System (GPS) location technology or base station location technology. The base station positioning technology is a positioning technology for estimating the direction of a moving target by using signal attenuation changes brought by the moving target approaching or departing from a base station. After the current position of the sender is determined, the palm computer device can send the current position of the sender to the server through the communication network, so that the current position is obtained.

By way of example, the server may retrieve the pre-entered information of the task to be completed locally, or the deliverer may scan a barcode, a two-dimensional code, an RFID tag, etc. of the goods through a palm-top computer device or manually distribute the information of the goods to the server by the deliverer, so as to obtain the information of the task to be completed. For example, for a task to be completed whose content is to dispatch an item, the corresponding target position information may be an a-cell N-th building to which the item is to be dispatched. The types of the tasks to be completed included in the task to be completed information refer to the types of various logistics tasks that may be involved in the logistics service, and may include, but are not limited to, (1) dispatch, which refers to delivery of goods and completion of receipt by the customer; (2) collecting means receiving the logistics task from the client and sending the goods received from the client to the corresponding receiver; (3) and taking the returned goods, namely after receiving the returned goods order in the system, taking the corresponding returned goods from the logistics personnel to the customer and sending the returned goods to a warehouse or a seller. In the present exemplary embodiment, dispatch, pull, and pick are described as examples of the types of tasks to be completed.

Therefore, in step S110, for example, the current location of the sender may be determined by the handheld computer device of the sender based on the gps positioning technology, and the current location of the sender is sent to the server side by the handheld computer device through the communication network; meanwhile, the server can receive the information of the tasks to be completed uploaded by the dispatcher by scanning the information of the goods to be dispatched through the handheld palm computer equipment or call the information of the tasks to be completed existing in the system.

In step S120, each to-be-completed task is divided into a plurality of preset areas according to the target position corresponding to the to-be-completed task.

In the present exemplary embodiment, as described above, the target location corresponding to each task to be completed is, for example, a cell a, a cell N, a cell B, a cell M, and the like, and a Geographic Information System (GIS) at the server divides each target location into a plurality of preset areas by means of logistics task dotting according to geographic location information of each target location. As shown in fig. 2, fig. 2 is a schematic diagram showing the division results of the respective preset areas displayed on the handheld device of the sender, wherein the respective target positions are divided into a total of 18 preset areas. For example, the target positions with the same geographic position or similar distances may be divided into the same preset area, for example, the target positions of the same building located in the same residential district, and the target positions of two adjacent buildings located in the same residential district, respectively, may be divided into the same preset area according to actual needs. As shown in fig. 2, a preset area may correspond to a residential cell, for example, the preset areas marked as 1, 2 and 4 in fig. 2, or may correspond to sub-areas divided in a certain residential cell, for example, the preset areas marked as 13 and 15 in fig. 2. The minimum dimension of the preset area division may be a cell name + a building number, that is, the divided minimum preset area may be divided into a certain building in a certain residential district, for example, a-number building in a district.

In addition, in the present exemplary embodiment, each building in each preset area may be referred to as a "cluster point", for example, that is, all logistics tasks in each preset area may be aggregated in units of cluster points (i.e., buildings). Fig. 3 shows a graphical interface diagram after aggregation of logistics tasks by clustering points. It can be seen that after all the logistics tasks in the divinator 2 are aggregated according to the clustering points, how many logistics tasks are available at each clustering point (i.e., building) in the 3 clustering points and the number of various types of logistics tasks including dispatching, collecting and picking can be displayed on, for example, a handheld computer device of the dispatcher. By the method, the dispatcher can intuitively know the task types and corresponding task quantities of the divinator areas and the clustering points.

In addition to the 3 conventional types of logistics tasks given by way of example above, the logistics tasks may also include, for example, exception orders. An exception order refers to an order that was previously unsuccessfully dispatched and thus classified as an exception. When the information of the task to be completed is determined at this time, for example, a dispatcher can call an abnormal order list of each divinator from the server side, manually distribute the abnormal order to each divinator according to the target position of the abnormal order to be completed, and then dispatch the abnormal order in the process of completing the conventional logistics task.

In the present exemplary embodiment, the preset region may also be referred to as a divinatory space. The divinatory plot is derived from the concept of divinatory limits in mathematics and a linear octree model; wherein, the divinatory symbols refer to that in the space solid geometry, the whole space is divided into eight parts by the coordinate axes X-axis, Y-axis and Z-axis which are mutually vertical, wherein each part is a divinatory symbol; the linear octree model is proposed to overcome the defect that the data volume of an equilateral long cube is huge, the linear octree model divides a cube three-dimensional space into eight trigrams, if each trigram belongs to the same object, the cubic three-dimensional space is not subdivided, otherwise, the cubic three-dimensional space is subdivided into eight trigrams until each voxel belongs to the same object or reaches a certain limit difference. By introducing the trigrams and the linear octree model, the minimum dimension of a space target area can be divided when the trigrams are divided, namely a building in a residential district. In the following description of the present disclosure, the term "divinatory" means the "predetermined area" as described above, unless otherwise specified.

In step S130, the task duration of each preset region is calculated according to the number of tasks to be completed in each preset region and the type of the tasks to be completed.

In the present exemplary embodiment, as described above, the types of tasks to be completed may include, for example, a dispatch task, a pick-up task, and the 3 types of logistics tasks may correspond to different completion times respectively. Illustratively, the server side of the present disclosure may preset a default time taken for completing a dispatch task to be 2 minutes, a default time taken for completing a package task to be 4 minutes, and a default time taken for completing a pickup task to be 3 minutes. The default time spent in divinatory 1 to complete all dispatch tasks within the divinatory can be expressed as:

the total dispatching time of the divinatory 1 is the dispatching time of a single piece x the number of dispatching tasks.

For example, in the same way, the total collecting duration of the divinatory symbols 1 and the total item taking duration of the divinatory symbols 1 can be obtained.

The default time spent in the divinatory space 1 to complete all logistics tasks in the divinatory space, i.e. the task duration of the preset area 1, can be expressed as:

the divinatory symbols 1 is the divinatory symbols 1 which sends the total duration + divinatory symbols 1 which collects the total duration + divinatory symbols 1 which takes the total duration.

For example, in the same way, the server side can also respectively determine the task time lengths of other divinatories.

In step S140, logistics guidance information is determined according to the current location of the sender, the locations of the plurality of preset areas, and the task duration of each preset area, so as to guide the sender to reach each preset area according to the logistics guidance information to execute a task.

In the present exemplary embodiment, the server side may combine a plurality of divinators with their relative positions and the task time length of each divinator to determine the logistics guide information. In one example, the flow priority of each divinatory may be determined on the dispatch path by, for example, using the following weighted sum:

the trigram area logistics priority is equal to a relative position parameter multiplied by weight 1+ a task duration parameter multiplied by weight 2;

for the same divinatory, the weight 1 may be greater than the weight 2, that is, when determining the logistics priority of a divinatory, the relative position of the divinator to the divinator may be more important than the task duration of the divinatory; for different divinators, the closer the relative position to the sender, the larger the relative position parameter, and the longer the task time, the larger the task time parameter. For example, as shown in FIG. 2, where the dots with directional arrows represent the current location of the sender, the

divinatory zones

18 and 3 are equidistant from the sender, and the divinatory zones 10 are farther from the sender than the

divinatory zones

18 and 3; and the divinatory space 3 has a task length of, for example, 50 minutes, the divinatory space 18 has a task length of, for example, 30 minutes, and the divinatory space 10 has a task length of, for example, 35 minutes. Then at the server side, for example, the weight 1 may be set to 0.6, and the weight 2 may be set to 0.3; determining the relative position parameter of the divinatory symbols 3 as 1.2 and the task duration parameter as 0.5; determining the relative position parameter of the divinatory plot 18 as 1.2 and the task duration parameter as 0.3; and the relative position parameter of the divinatory plot 10 is determined to be 1.1 and the task duration parameter is determined to be 0.35. In this case, it can be determined that:

the divinatory 3-flow priority is 1.2 × 0.6+0.5 × 0.3 is 0.87;

the divinatory balance of 18 is 1.2 × 0.6+0.3 × 0.3 is 0.81;

the divinatory 10 flow priority is 1.1 × 0.6+0.35 × 0.3 is 0.765.

Therefore, the divinatory priority of divinatory 3 > divinatory 18 > divinatory 10 can be determined, and the delivery route can be determined to reach divinatory 3, divinatory 18 and divinatory 10. Other calculation methods different from the weighted summation method described above may also be used in determining the trigram flow priority, and this exemplary embodiment is not particularly limited thereto.

Then, after the current position of the sender, the positions of the multiple divinators and the task duration of each divinator are comprehensively considered to determine the logistics priority of each divinator, the server end can determine a logistics route according to the logistics priority of each divinator. In one example, the server side may determine an optimal logistic route, for example, using an ant colony algorithm; the ant colony algorithm is a probability algorithm used for searching for an optimized path, and can realize the optimal solution of the path optimization problem through distribution calculation, information positive feedback and heuristic search. After determining the optimal logistics route of the divinatory space, the server side can further determine logistics guide information. As shown in fig. 4, fig. 4 is a schematic view showing a recommended logistics route generated on a dispatcher's pda according to logistics guide information, in which a trigram name having a high logistics priority and needing to be reached first may be displayed at a relatively upper position, and a trigram name having a low logistics priority and needing to be reached later may be displayed at a relatively lower position. Based on the logistics guidance information, the dispatcher can, for example, take an optimized route to each divinator and perform logistics tasks. It should be noted that, in addition to the ant colony algorithm, the server may determine the optimized logistics route by using a path optimization algorithm such as a neighborhood algorithm and an artificial bee colony algorithm. The present exemplary embodiment is not particularly limited in this regard.

In the process of determining the logistics route, the server side can download map information and satellite map photos of the divinatory areas related to the logistics task from the internet, and can determine the road distribution information, the entrance and exit information, the construction information, the fence information and the like of each divinatory area according to the map information and the satellite map photos, so that the determined logistics route is further optimized based on the information.

In one example, not only the server sends the logistics guidance information to the sender, but also the sender can request the updated logistics guidance information from the server at any time through a handheld device carried by the sender. For example, the server may issue real-time updated logistics guidance information to the sender in response to a request message sent by the sender clicking a graphical interface button such as "get task" on the handheld computer device, so as to guide the sender to execute a subsequent task according to the updated logistics guidance information.

In this example embodiment, the to-do task information may further include a time priority of each to-do task. For example, in an actual application scenario, there may be a case where a customer requires a dispatcher to reach a target location where the customer is located before a certain point of time to perform a logistics task. For example, there may be logistical tasks such as customers requiring the dispatcher to complete the dispatch by 15:00, or requiring the dispatcher to pick up the piece by 18: 00. The customer requirement information can be pre-recorded into the server side along with the information of the task to be completed or sent to the server side by the customer through equipment such as a mobile terminal. In this case, the server needs to consider the time priority of each task to be completed when determining the logistics guidance information.

In one example, the server may determine the time priority of each divinatory according to the time priority of the tasks to be completed in each divinatory. For example, the server may determine the time priority of each divinatory according to the current time, the task duration of each divinatory, and the time length of the time limit of the task required by the time limit in each divinatory from the current time. On the basis, the server side can adaptively adjust the logistics priority of each divinatory based on the obtained time priority of each divinatory. Still taking the

divinatory fields

3, 18, 10 as shown in fig. 2 mentioned in the previous example as an example, for example, the current time is 9:00, there is a delivery task in divinatory field 10 that requires completion before 10:00, there is a pick task in divinatory field 18 that requires completion before 11:00, and there is no task in divinatory field 3 that has a time limit requirement. In this case, the task time limit closest to the current time is 10:00, the time length from the current time is 60 minutes, and the task time of the divinatory plot 3 is 50 minutes, so that the logistics task of the divinatory plot 3 with the highest logistics priority can still be preferentially processed; after the logistics tasks in the divinatory plot 3 are processed, the time length from the task time limit is 10 minutes, and the tasks in the divinatory plot 18 with the highest logistics priority are not enough to be processed, so that the logistics tasks in the divinatory plot 10 are processed preferentially according to the time limit requirements, and finally the tasks in the divinatory plot 18 are processed.

It can be seen that in the above example, the time priorities of the divinatories determined are: the divinatory symbols 3-10-18, and can adjust the logistics priority of each divinatory symbol based on the determined time priority, further determine the task execution sequence of each divinatory symbol and generate corresponding logistics guide information. The server side can also reasonably schedule and dispatch the logistics tasks, so that the logistics tasks with task time limit conflicts in different dividends are not dispatched to the same dispatcher. By the method, timeliness, geographical position distribution and regional task quantity of the logistics tasks can be comprehensively considered, and further the optimized logistics route can be determined, so that a dispatcher does not need to arrange the logistics route according to personal experience and judgment, and risks of problems that the route is unreasonable, the task time limit requirement is not met, and user experience of a client is influenced are avoided.

In the embodiment, the server end can also determine the current task area according to the current position of the dispatcher and the number change of the tasks to be completed in each divinator; and when the server detects that the distance between the sender and the current task area is a preset distance and the task to be completed still exists in the current task area, sending reminding information to the sender. For example, the server may obtain the current location of the dispatcher in real time through a handheld computer device carried by the dispatcher, and when it is detected that the dispatcher reaches a divinator Q where a task to be completed exists, the server may update the current location of the dispatcher to the divinator Q. In addition, when the dispatcher starts to perform logistics tasks such as dispatching, picking up, collecting and the like, and reports the completion of the tasks to the server end through the palm PC, the server end can detect the number change of the tasks to be completed in the divinatory area Q. In this case, the server side determines the divinatory area Q as the current task area.

In one example, when the server detects that the sender is a predetermined distance away from the current task area, for example, the current position of the sender is 50 meters away from the edge of the current task area, it is determined that the sender has completed the task to be completed in the current task area and is leaving the current task area. In this case, the server may check whether the task to be completed in the current task area has been completed completely, for example. When checking that the task to be completed still exists in the current task area, the server side can judge that the missing task to be completed exists in the current task area, and can send reminding information to the sender through a handheld computer device of the sender. The reminder information may include, for example, but is not limited to: voice prompt, vibration, flashing of a prompt lamp, playing of alarm sound and the like. In one example, the server may broadcast a voice prompt to the sender, for example, via a handheld device: the method comprises the steps of '2 sending, 1 receiving to be completed and processing in time when incomplete tasks exist in the current Q cell', so that timely reminding of a sender is achieved, and the sender can timely complete missed tasks to be completed. In addition, whether the sender leaves the current task area can be judged according to the distance between the sender and the current task area, and whether the sender leaves the current task area can be judged according to the time when the sender leaves the current task area; for example, if the server detects that the dispatcher has left the current task area for more than 2 minutes, it is determined that the dispatcher has completed the task and is leaving the current task area. This example embodiment is not particularly limited thereto.

In addition, the detection of whether the position of the sender leaves the current task area, the checking of whether the tasks to be completed in the current task area are all completed and the sending of the reminding information to the sender can be performed by the handheld computer device of the sender according to a preset instruction without the indication of the server. This example embodiment is not particularly limited thereto.

By the method, the problem of task forgetting possibly caused by judging whether the task is finished or not by depending on the memory and sorting of the sender in the process of finishing the logistics task can be effectively solved, and further, the loss in manpower and time caused by the fact that the sender finds that the task is omitted after leaving the current cell and has to return is avoided, so that the dependence on artificial memory and judgment is reduced, and the logistics work efficiency is improved.

In the present exemplary embodiment, each preset region may include one or more preset sub-regions. As described above, for each dividend, one dividend may correspond to one residential district or may correspond to a sub-area divided in a certain residential district, and the minimum dimension of the dividend may be divided to a certain building in a certain residential district. Wherein, for example, a divinatory plot including more than one building, it may be further divided into a plurality of sub divinatory plots according to the present exemplary embodiment, and the minimum dimension of the division may be still divided into a certain building; for example, a divination area comprising only one building is equivalent to a single sub divination area and is not divided.

In a practical scene, the dispatcher not only needs to go from one divinator to another divinator to complete the logistics task, but also needs to complete the logistics task in a divinator by going from one sub-divinator to another sub-divinator. In view of this, in one example, for each divinatory, the server may divide each to-be-completed task into one or more sub-divinatory according to a target position corresponding to each to-be-completed task in the divinatory. For example, for the divinatory system Q, each task to be completed can be divided into the buildings 1 to 3 according to the target position corresponding to each task to be completed, such as the building 1, the building 2 or the building 3. The division of each task to be completed into sub divinatory areas is similar to the division for each divinatory area, and is not described herein again. In addition, the server end can also determine the time priority of each sub divinatory square according to the time priority of the task to be completed in each sub divinatory square; and determining the task execution sequence of each sub divinator according to the current position of the sender, the positions of the plurality of sub divinators and the time priority of each sub divinator. For example, for buildings 1 to 3 in the divinatory area Q, the order of performing tasks can be determined in the above manner as building 2-building 1-building 3. The manner of determining the task order of each divinatory compartment is similar to that described above for determining the task order of each divinatory compartment and will not be described herein again.

By the mode, the logistics guide information of the divinator can be generated, and the logistics guide information of the sub divinator can be generated for the dispatcher, so that when the divinator faces the divinator with a large area, a local optimized path can be determined for the dispatcher, the routing cost and the labor consumption of the dispatcher in the divinator are reduced, and the logistics task execution efficiency is further improved.

In the embodiment, the server side can also determine the current task sub-area according to the current position of the dispatcher and the number change of the tasks to be completed in each sub divinator area; and sending reminding information to the sender when the fact that the distance between the sender and the current task sub-area is a preset distance and the task to be completed still exists in the current task sub-area is detected. For example, the server may detect that the dispatcher is currently located at the building 2 in the divinator Q and the target location of the to-be-completed task of the building 2 is decreased, determine that the dispatcher starts to perform the logistics task on the sub-divinator, namely the building 2, and determine the building 2 as the current task sub-area; when the distance between the sender and the current task sub-area is detected to be a preset distance, for example, the distance between the current position of the sender and the edge of the current task sub-area is 20 meters, the sender is judged to have finished the task to be finished in the current task sub-area and leave the current task sub-area; if the server side checks that the task to be completed still exists in the current task subregion at this time, the reminding information can be sent to the sender through the handheld computer equipment of the sender. The manner of judging the current task sub-region and sending the reminding information by the server is similar to that of judging the current task region and sending the reminding information, and is not described herein again.

By the mode, the method can remind the dispatcher of missing tasks in the divinator unit of divinator, can also remind the dispatcher of missing tasks more finely even in the building unit, further avoids the loss of manpower and time caused by the fact that the dispatcher turns back due to missing tasks, and further improves the efficiency of logistics work

In this example embodiment, the server side may also receive, for example, temporary tasks submitted by the client. For example, the dispatcher has completed the logistics task of divinatory Q and has left divinatory Q, while the server receives temporary tasks submitted by clients whose target locations are in divinatory Q. In this case, the server may detect all the dispatchers located within a predetermined range around the divinator Q in real time according to the current location uploaded by the dispatchers, for example, the server may detect all the dispatchers whose current locations are within 1 km around the divinator Q and call logistics guidance information of all the dispatchers, and may select a preferred dispatcher by, for example: such that the divinatory area Q is closest to the preferred dispatcher and satisfies that the divinatory area Q is located on or near the unfinished logistics path line of the preferred dispatcher. For example, when the server receives a temporary task with a target position in the divinatory Q, the dispatcher A just completes the logistics task in the divinatory Q and is 300 meters away from the divinatory Q, and detects that the dispatcher B is 800 meters away from the divinatory Q and the divinatory Q is located in the vicinity of 50 meters of a path to be passed by the dispatcher B to reach the next divinatory, the dispatcher B is determined as a preferred dispatcher.

After determining the preferred sender, the server may issue the temporary task to the sender B, for example, through a handheld device carried by the sender B, according to Enterprise Resource Planning (ERP) information of each sender pre-stored in the server. The enterprise resource planning information of each sender is, for example, employee account information, and may include, but is not limited to, the name, Identification (ID), department, post, responsibility, system authority, and other information of the sender.

Through the mode, the dispatchers in the local area can be reasonably allocated, so that the waste of time and labor caused by the fact that the dispatchers have to go back due to the temporary tasks is effectively avoided, and the efficiency of executing the logistics tasks is improved.

In this exemplary embodiment, the server may further update the current location of the sender and the information of the task to be completed at preset time intervals, and determine updated logistics guidance information according to the updated current location of the sender and the information of the task to be completed, for example. For example, the server may receive the current position and completed logistics task information sent by the sender through the handheld computer device of the sender every 5 seconds, for example, when it is detected that the sender has completed a task in the current task area but a traffic jam exists in a path leading to the next divinator, or a temporary task is received, the server may update logistics guidance information in real time according to the latest current position of the sender and information of the task to be completed, and send the updated logistics guidance information to the sender through the handheld computer device of the sender, for example. By the method, timeliness of the generated logistics guiding information can be guaranteed, and a dispatcher can efficiently complete logistics tasks.

The interaction flow between the respective parts of the logistics system to which the logistics guide information generation method according to the present exemplary embodiment is applied will be described in detail below with reference to fig. 5.

In S501, by the courier clicking the "path recommendation/refresh" button on the graphic user interface of the handheld computer device, for example, the GPS coordinate, ERP information, the current road area, and all pick-up, dispatch, and pick-up order task information of the courier can be sent to the server via the handheld computer device gateway. In S502 and S503, the Geographic Information System (GIS) portion of the server may perform site/road/divinatory and fence information matching of the order task target location according to the received order task information, and may perform order task coordinate pointing so as to divide the order task into divinatory areas. At S504, S505, and S506, the data decision part at the server side may determine the divinatory plot recommendation sequence, the divinatory plot recommendation sequence and the order task cluster of the logistics tasks executed by the Geographic Information System (GIS) part based on the divinator plot and fence information matching information and the divinator plot partitioning information provided by the geographic information system part according to the received GPS coordinates of the courier, ERP information, the located road plot, all pickup, dispatch, and pickup order task information. In S507, the server may return the data of the divinator ' S balance recommendation order, the divinator ' S balance recommendation order and the divinator ' S balance task cluster determined by the algorithm to the courier. On this basis, in S508, the abnormal order can be manually distributed to each divinator by the courier' S action of clicking on the divinator or the cluster order point on the graphic user interface of the handheld computer device, so that the abnormal order enters the divinator group, thereby matching the abnormal order included in the divinator group with the order cluster list. In S509, the courier clicks the action of turning on/off the voice prompt on the image-text user interface of the handheld computer device, and can determine whether to use the voice prompt function; and the palm PC equipment can send the courier GPS coordinate to the server end through the palm PC equipment gateway. At S510, the server side judges whether the courier leaves the current task divinator according to the received courier GPS coordinates. In S511, when the server side judges that the courier leaves the current task divinatory and an order task is not completed in the current task divinatory, a voice prompt is sent to the courier through a handheld computer device carried by the courier; when the voice prompt is started, the voice prompt reaches the courier and reminds the courier that the order task is still unfinished; when the voice prompt is turned off, the courier does not receive the voice prompt.

The overall flow of the logistics guide information generation method according to the present exemplary embodiment is explained below with reference to fig. 6.

In S601 and S602, in response to the operation of the courier, the handheld computer device carried by the courier may request the current task list from the server and send the current location of the courier to the server. In S603 and S604, the server may receive the sent current location of the courier and the full-size task list, and divide the divinator according to the target address of the task. In S605 and S606, the server determines the task duration of each divinatory according to the number of tasks and the task type divided into the divinatory and limitedly adjusts the sequence of the divinatory according to the divinatory task duration. In S607 and S608, the server may send the delivery recommended route to the courier through the handheld device, so that the courier may deliver according to the received recommended route. At S609, S610 and S611; the palm computer device can automatically detect the real-time position of the courier according to a preset instruction, and when the courier is detected to finish distribution in the current divinator area of the task and leave the current divinator area, and the position of the courier is judged to be 2 minutes or more away from the current divinator area, the palm computer device can check whether the current divinator area has residual tasks. When the remaining tasks are detected, the handheld computer device can remind the courier of the incomplete tasks in a voice prompt mode in S612, S613 and S614, so that the courier can return to the current divinator for distribution based on the voice prompt and reach the next divinator for continuous distribution after the distribution of the current divinator is completed. When no remaining tasks are checked, the courier is allowed to reach the next divinator for delivery at S614.

It should be noted that although the various steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that these steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.

Further, in the present exemplary embodiment, a logistics guidance information generation apparatus is also provided. The logistics guide information generation device can be applied to a server side. Referring to fig. 7, the logistics guidance information generation apparatus 700 may include an information acquisition module 710, an information processing module 720, and an information transmission module 730. Wherein:

the information obtaining module 710 may be configured to obtain a current location of the sender and information of the task to be completed; the task information to be completed comprises target position information corresponding to each task to be completed and the type of each task to be completed; the information processing module 720 may be configured to divide each to-be-completed task into a plurality of preset regions according to a target position corresponding to each to-be-completed task, calculate a task duration of each preset region according to the number of to-be-completed tasks in each preset region and the type of the to-be-completed tasks, and determine logistics guidance information according to the current position of the sender, the positions of the plurality of preset regions, and the task duration of each preset region; the information sending module 730 may be configured to send the logistics guidance information to a sender, so as to guide the sender to reach each preset area according to the logistics guidance information to execute a task.

In an exemplary embodiment of the present disclosure, the to-be-completed task information further includes a time priority of each to-be-completed task; the information processing module 720 may further be configured to determine a time priority of each preset region according to the time priority of the task to be completed in each preset region; and determining the task execution sequence of each preset area according to the current position of the sender, the positions of the preset areas, and the task duration and time priority of each preset area.

In an exemplary embodiment of the disclosure, the information processing module 720 may be further configured to determine a current task area according to the current location of the sender and the number change of the tasks to be completed in each preset area; and when detecting that the distance between the sender and the current task area is a predetermined distance and a task to be completed still exists in the current task area, the instruction information sending module 730 sends a reminding message to the sender.

In an exemplary embodiment of the present disclosure, each preset region includes one or more preset sub-regions, and the information processing module 720 may be further configured to divide each to-be-completed task into the one or more preset sub-regions according to a target position corresponding to each to-be-completed task in each preset region; determining the time priority of each preset sub-region according to the time priority of the task to be completed in each preset sub-region; and determining the execution task sequence of each preset sub-area according to the current position of the sender, the positions of the preset sub-areas and the time priority of each preset sub-area.

In an exemplary embodiment of the present disclosure, the information processing module 720 may be further configured to determine a current task sub-area according to the current location of the sender and the number change of the tasks to be completed in each of the sub-preset areas; and when detecting that the distance between the sender and the current task sub-area is a predetermined distance and a task to be completed still exists in the current task sub-area, the instruction information sending module 730 sends a reminding message to the sender.

In an exemplary embodiment of the present disclosure, the information processing module 720 may be further configured to detect all senders located within a predetermined range of the preset area when receiving a temporary task whose target location is located within the preset area; the information sending module 730 may be further configured to send the temporary task to a sender closest to the preset area.

In an exemplary embodiment of the present disclosure, the information obtaining module 710 may be further configured to update the current location of the sender and the to-be-completed task information at preset time intervals; the information processing module 720 may further be configured to determine updated logistics guidance information according to the updated current location of the sender and the information of the task to be completed.

The specific details of each module or unit in the logistics guidance information generation device have been described in detail in the corresponding logistics guidance information generation method, and therefore are not described herein again.

It should be noted that the computer system 800 of the electronic device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of the application of the embodiments of the present disclosure.

As shown in fig. 8, the computer system 800 includes a Central Processing Unit (CPU)801 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data necessary for system operation are also stored. The CPU801, ROM 802, and RAM 803 are connected to each other via a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.

The following components are connected to the I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a display such as a Cathode Ray Tube (CRT) display, a Liquid Crystal Display (LCD), and a speaker; a storage portion 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.

In particular, the processes described below with reference to the flowcharts may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program, when executed by a Central Processing Unit (CPU)801, performs various functions defined in the methods and apparatuses of the present application.

As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method as described in the embodiments above.

It should be noted that the computer readable media shown in the present disclosure may be computer readable signal media or computer readable storage media or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A logistics guidance information generation method is characterized by comprising the following steps:

2. The logistics guidance information generation method of claim 1, wherein the to-be-completed task information further comprises a time priority of each to-be-completed task; determining logistics guide information according to the current position of the sender, the positions of the plurality of preset areas and the task duration of each preset area, wherein the logistics guide information comprises the following steps:

determining the time priority of each preset area according to the time priority of the task to be completed in each preset area;

and determining the task execution sequence of each preset area according to the current position of the sender, the positions of the preset areas, and the task duration and time priority of each preset area.

3. The logistics guidance information generation method of claim 1, wherein the method further comprises:

determining a current task area according to the current position of the sender and the number change of the tasks to be completed in each preset area;

and sending reminding information to the sender when the fact that the distance between the sender and the current task area is a preset distance and the task to be completed still exists in the current task area is detected.

4. The logistics guidance information generation method of claim 1, wherein each preset area comprises one or more preset sub-areas.

5. The logistics guidance information generation method of claim 4, wherein the method further comprises:

dividing each task to be completed into one or more preset sub-areas according to the target position corresponding to each task to be completed in each preset area;

determining the time priority of each preset sub-region according to the time priority of the task to be completed in each preset sub-region;

and determining the execution task sequence of each preset sub-region according to the current position of the sender, the positions of the plurality of preset sub-regions and the time priority of each preset sub-region.

6. The logistics guidance information generation method of claim 4, wherein the method further comprises:

determining a current task sub-area according to the current position of the sender and the number change of the tasks to be completed in each sub-preset area;

and when the fact that the distance between the sender and the current task sub-area is a preset distance and the task to be completed still exists in the current task sub-area is detected, reminding information is sent to the sender.

7. The logistics guidance information generation method of claim 1, wherein the method further comprises:

when receiving a temporary task with a target position in the preset area, detecting all dispatchers in the preset range of the preset area, and sending the temporary task to the dispatcher nearest to the preset area.

8. The logistics guidance information generation method of claim 1, wherein the method further comprises:

updating the current position of the sender and the information of the task to be completed at preset time intervals;

and determining updated logistics guide information according to the updated current position of the sender and the information of the task to be completed.

9. A physical distribution guidance information generating apparatus, comprising:

10. An electronic device, comprising:

a memory; and

a processor coupled to the memory, the processor configured to perform the logistics guidance information generation method of any of claims 1-8 based on instructions stored in the memory.

11. A computer-readable storage medium on which a program is stored, the program implementing the logistics guidance information generation method of any one of claims 1 to 8 when executed by a processor.