CN112598348B - Target address position calibration method, server, client and computing device - Google Patents
Target address position calibration method, server, client and computing device Download PDFInfo
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Abstract
A position calibration method for a target address, a server, a client and a computing device are provided. The embodiment of the invention discloses a method, a device and a computing device for calibrating the position of a target address, wherein the method comprises the following steps: identifying the delivered orders to obtain abnormal orders; acquiring the distribution track data of the abnormal order, obtaining to-be-verified position data of a target address of the abnormal order according to the distribution track data, and generating verification information of the to-be-verified position data; sending the verification information to a delivery object of the abnormal order, so that the delivery object can execute calibration operation of the position data to be verified according to the verification information; and updating the position data of the target address according to the calibration position data fed back by the delivery object executing the calibration operation. The embodiment of the invention meets the requirement that a large number of delivery addresses generated in actual conditions need to be updated. Moreover, the distribution platform does not need to pay higher updating and maintenance cost, higher data coverage rate is achieved, and distribution efficiency of distribution personnel is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of logistics distribution, in particular to a position calibration method of a target address, a server, a client, a computing device and a computer storage medium.
Background
In the logistics distribution process, the distributed position data is very important, and distribution personnel need to determine where to take goods and where to send goods according to the position data provided by the distribution platform. Generally, the delivery starting position is determined by a merchant address which is previously entered in the delivery platform by the merchant, and the delivery destination position is determined by a delivery address which is filled in by the user when placing an order.
Taking the delivery address of the delivery end as an example, when the delivery address input by the user does not have corresponding position data (such as longitude and latitude coordinates), the corresponding longitude and latitude coordinates need to be acquired according to the delivery address by relying on a map system. Especially, when the delivery address relates to user community building number information, community navigation information, building information or community entrance information, the condition of missing of more position data in the delivery platform or the condition of error caused by insufficient accuracy of the position data greatly influences the delivery efficiency of delivery personnel. If the map system is solely relied on to update the position data, the updating and maintaining cost is huge, and the data coverage rate is too low, so that the requirement that a large number of distribution addresses generated in the actual situation need to be updated cannot be met.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are proposed to provide a location calibration method, a server, a client and a computing device, a computer storage medium for a target address that overcome or at least partially solve the above problems.
According to an aspect of the embodiments of the present invention, there is provided a method for calibrating a location of a target address, including:
identifying the delivered orders to obtain abnormal orders;
acquiring the distribution track data of the abnormal order, obtaining to-be-verified position data of a target address of the abnormal order according to the distribution track data, and generating verification information of the to-be-verified position data;
sending the verification information to a delivery object of the abnormal order, so that the delivery object can execute calibration operation of the position data to be verified according to the verification information;
and updating the position data of the target address according to the calibration position data fed back by the calibration operation executed by the delivery object.
In an optional manner, the identifying the delivered order, and obtaining an abnormal order further includes:
acquiring the distribution time length of the distributed orders, and identifying the orders with the distribution time length exceeding a preset time length threshold value as abnormal orders;
and/or acquiring the distribution track data of the distributed orders, matching the distribution track data with the track data provided by the map module, and identifying and obtaining abnormal orders according to the matching result;
and/or identifying to obtain an abnormal order according to the abnormal marking processing of the delivery object to the delivered order.
In an optional manner, the identifying the delivered order to obtain an abnormal order specifically includes: and identifying the distributed orders in the period according to a preset period to obtain abnormal orders.
In an optional manner, after obtaining the abnormal order, the method further comprises: and extracting a delivery starting address and/or a delivery destination address of the abnormal order as a target address to be verified.
In an optional manner, the obtaining of the delivery trajectory data of the abnormal order and obtaining the to-be-verified position data of the target address of the abnormal order according to the delivery trajectory data further includes:
acquiring distribution track data of the abnormal order, and extracting time information of a distribution key node from the distribution track data;
and determining the position data to be verified of the target address according to the position data corresponding to the time information of the distribution key node.
In an optional manner, the distribution key node includes: and the arrival node, the running state conversion node and/or the path conversion key node of the distribution object.
In an optional manner, the obtaining of the delivery trajectory data of the abnormal order and obtaining the to-be-verified position data of the target address of the abnormal order according to the delivery trajectory data further includes:
acquiring distribution track data of the abnormal order, and determining a map interest area to which the target address belongs according to the distribution track data;
and selecting at least one map interest point from the map interest area, and taking the position data of the at least one map interest point as the position data to be verified of the target address.
In an optional manner, the generating the verification information of the location data to be verified further includes:
obtaining map data of a geographic range containing the position data to be verified;
and generating a verification map according to the map data, wherein the verification map comprises an icon corresponding to the position data to be verified and verification prompt information.
In an optional manner, the sending the verification information to the delivery object of the abnormal order for the delivery object to perform the calibration operation of the to-be-verified position data according to the verification information further includes:
and sending the verification map to the delivery object so that the delivery object can execute calibration operation according to the verification prompt information and the icon.
In an alternative form, the calibration operation includes: an icon drag operation and/or a click operation.
In an optional manner, the updating the location data of the target address according to the calibration location data fed back by the delivery object performing the calibration operation further includes:
acquiring operation ending position data of the distribution object for executing icon dragging operation or operation position data of the distribution object for executing clicking operation as calibration position data;
and updating the position data of the target address according to the calibration position data.
In an optional manner, the updating the location data of the target address according to the calibration location data fed back by the delivery object performing the calibration operation further includes:
receiving a plurality of calibration position data fed back by a plurality of distribution objects aiming at the same target address to perform the calibration operation;
and updating the position data of the target address according to the plurality of calibration position data.
In an optional manner, the updating the location data of the target address according to the plurality of calibration location data further includes:
and performing a weighted operation on the plurality of calibration position data according to the weights of the plurality of distribution objects, and updating the position data of the target address according to the weighted operation result.
In an optional manner, the method further comprises: and iteratively adjusting the weights of the plurality of distribution objects according to the updated position data of the target address.
In an optional manner, the sending the verification information to the delivery object of the abnormal order further includes:
in the login process of the distribution object, the verification information is sent to the distribution object of the abnormal order;
or, according to a complaint request sent by a delivery object, sending the verification information to the delivery object of the abnormal order;
or sending the verification information to the delivery object of the abnormal order according to the access request of the delivery object to the abnormal information processing page.
According to another aspect of the embodiments of the present invention, there is provided a method for calibrating a location of a target address, including:
receiving and presenting verification information sent by a server; the verification information is information of position data to be verified of a target address of an abnormal order generated aiming at the abnormal order;
receiving calibration operation of position data to be verified executed by a distribution object;
and responding to the calibration operation, and feeding back the calibration position data to the server for the server to update the position data of the target address.
In an optional mode, the verification information is specifically a verification map, and the verification map includes an icon corresponding to the to-be-verified position data and verification prompt information;
the calibration operation for receiving the to-be-verified position data executed by the distribution object specifically includes: receiving icon dragging operation and/or clicking operation;
the feeding back calibration position data to the server in response to the calibration operation is specifically: responding to an icon dragging operation, and feeding back operation ending position data of the icon dragging operation as calibration position data to the server; or responding to the click operation, and feeding back operation position data of the click operation as calibration position data to the server.
According to another aspect of the embodiments of the present invention, there is provided a server, including:
the identification module is used for identifying the delivered orders to obtain abnormal orders;
the generating module is used for acquiring the distribution track data of the abnormal order, obtaining to-be-verified position data of a target address of the abnormal order according to the distribution track data, and generating verification information of the to-be-verified position data;
the sending module is used for sending the verification information to a delivery object of the abnormal order so that the delivery object can execute the calibration operation of the position data to be verified according to the verification information;
and the updating module is used for updating the position data of the target address according to the calibration position data fed back by the calibration operation executed by the distribution object.
In an optional manner, the identification module is specifically configured to:
acquiring the distribution time length of the distributed orders, and identifying the orders with the distribution time length exceeding a preset time length threshold value as abnormal orders;
and/or acquiring the distribution track data of the distributed orders, matching the distribution track data with the track data provided by the map module, and identifying and obtaining abnormal orders according to the matching result;
and/or identifying to obtain an abnormal order according to the abnormal marking processing of the delivery object to the delivered order.
In an optional manner, the identification module is specifically configured to: and identifying the distributed orders in the period according to a preset period to obtain abnormal orders.
In an optional manner, the method further comprises: and the extracting module is used for extracting the delivery starting address and/or the delivery destination address of the abnormal order as the target address to be verified.
In an optional manner, the generating module is specifically configured to:
acquiring the distribution track data of the abnormal order, and extracting the time information of a distribution key node from the distribution track data;
and determining the position data to be verified of the target address according to the position data corresponding to the time information of the distribution key node.
In an optional manner, the distribution key node includes: the distribution object comprises an arrival node, a running state conversion node and/or a path conversion key node.
In an optional manner, the generating module is specifically configured to:
acquiring distribution track data of the abnormal order, and determining a map interest area to which the target address belongs according to the distribution track data;
and selecting at least one map interest point from the map interest area, and taking the position data of the at least one map interest point as the position data to be verified of the target address.
In an optional manner, the generating module is specifically configured to:
obtaining map data of a geographic range containing the position data to be verified;
and generating a verification map according to the map data, wherein the verification map comprises an icon corresponding to the position data to be verified and verification prompt information.
In an optional manner, the sending module is specifically configured to: and sending the verification map to the delivery object so that the delivery object can execute calibration operation according to the verification prompt information and the icon.
In an alternative approach, the calibration operation includes: an icon drag operation and/or a click operation.
In an optional manner, the update module is specifically configured to:
acquiring operation ending position data of the distribution object for executing icon dragging operation or operation position data of the distribution object for executing clicking operation as calibration position data;
and updating the position data of the target address according to the calibration position data.
In an optional manner, the update module is specifically configured to:
receiving a plurality of calibration position data fed back by a plurality of distribution objects aiming at the same target address to perform the calibration operation;
and updating the position data of the target address according to the plurality of calibration position data.
In an optional manner, the update module is specifically configured to: and performing a weighted operation on the plurality of calibration position data according to the weights of the plurality of distribution objects, and updating the position data of the target address according to the weighted operation result.
In an optional manner, the method further comprises: and the weight adjusting module is used for carrying out iterative adjustment on the weights of the plurality of distribution objects according to the updated position data of the target address.
In an optional manner, the sending module is specifically configured to:
in the login process of the distribution object, the verification information is sent to the distribution object of the abnormal order;
or sending the verification information to the delivery object of the abnormal order according to a complaint request sent by the delivery object;
or sending the verification information to the delivery object of the abnormal order according to the access request of the delivery object to the abnormal information processing page.
According to another aspect of the embodiments of the present invention, there is provided a client, including:
the receiving module is used for receiving and presenting the verification information sent by the server; the verification information is information of position data to be verified of a target address of an abnormal order generated aiming at the abnormal order;
the interactive module is used for receiving calibration operation of the position data to be verified executed by the distribution object;
and the response module is used for responding to the calibration operation and feeding back the calibration position data to the server so as to update the position data of the target address by the server.
In an optional mode, the verification information is specifically a verification map, and the verification map includes an icon corresponding to the to-be-verified position data and verification prompt information;
the interaction module is specifically configured to: receiving icon dragging operation and/or clicking operation;
the response module is specifically configured to: responding to an icon dragging operation, and feeding back operation ending position data of the icon dragging operation as calibration position data to the server; or responding to the click operation, and feeding back operation position data of the click operation as calibration position data to the server.
According to still another aspect of an embodiment of the present invention, there is provided a computing device including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the position calibration method of the target address.
According to a further aspect of the embodiments of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform an operation corresponding to the method for calibrating a position of a target address.
According to the method and the device for calibrating the position of the target address, provided by the embodiment of the invention, the abnormal order is obtained by identifying the delivered order, the position data to be verified of the target address of the abnormal order is obtained, the corresponding verification information is generated, the verification information is sent to the delivery object of the abnormal order, and the delivery object calibrates the position data of the target address. Because the distribution object actually distributes the distributed order and the distribution object is more clear of the accurate position data corresponding to the target address, the embodiment of the invention realizes the complement or update of the position data of the distribution address in the distribution platform by virtue of the distribution experience of the distribution object, and meets the requirement that a large number of distribution addresses generated in the actual situation need to be updated. Moreover, compared with the prior art, the distribution platform does not need to pay higher updating and maintenance cost, achieves higher data coverage rate and improves the distribution efficiency of distribution personnel.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the embodiments of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the embodiments of the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 shows a flow diagram of a method for location calibration of a target address according to one embodiment of the invention;
FIG. 2 illustrates a flow diagram of a method for location calibration of a target address according to another embodiment of the invention;
FIG. 3 illustrates a flow diagram of a method for location calibration of a target address according to yet another embodiment of the invention;
FIG. 4 shows a schematic block diagram of a server according to one embodiment of the invention;
FIG. 5 shows a schematic diagram of a client according to one embodiment of the invention;
FIG. 6 illustrates a schematic structural diagram of a computing device, according to an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 1 shows a flowchart of a method for calibrating a location of a target address, according to an embodiment of the present invention, the method is applied to a server side, and as shown in fig. 1, the method includes the following steps:
In actual delivery business, a large number of delivered orders are generated every day, and the embodiments of the present invention find out that there is a target address (hereinafter also referred to as an abnormal address) with missing location data or insufficient accuracy based on the delivered orders. Specifically, if the position data of a certain address is missing or is not accurate enough, the delivered order related to the address may have some abnormal situations, for example, the order is overtime seriously, detour exists in the delivery process of the rider, and the like.
As an optional implementation manner, in this embodiment, the delivered orders generated in the period are identified according to a preset period, so as to obtain abnormal orders. Specifically, assuming that the preset period is 1 day, the distribution platform system identifies the distributed orders generated in the day at the idle time in the evening, and identifies abnormal orders in the day. It should be understood that, in the embodiment of the present invention, the setting of the preset period is not limited, and the distribution platform system may be flexibly set according to the service requirement.
After the abnormal order is identified, obtaining the distribution track data of the abnormal order, wherein the distribution track data comprises the travel track data of a rider from a distribution starting position to a distribution destination position, and obtaining the to-be-verified position data of the target address of the abnormal order according to the distribution track data. The location data to be verified of the target address may be location data with insufficient accuracy, and is to be further verified. For example, in the process of delivering the rider, the rider clicks to arrive after arriving, the system automatically records the position data of the rider when the rider clicks to arrive, and the position data is used as the position data to be verified. For another example, in the process of delivering the rider, the rider arrives at the destination point and gets off the vehicle to walk, and the system automatically records the position data of the rider during the transition from riding to walking and takes the position data as the position data to be verified.
And after the to-be-verified position data of the target address of the abnormal order is obtained, generating verification information of the to-be-verified position data.
And 103, sending the verification information to the distribution object of the abnormal order, so that the distribution object can perform calibration operation of the position data to be verified according to the verification information.
The rider is more impressive with respect to an abnormal order than with a normal order. Since the rider actually delivers the delivered order, the rider himself is more aware of the accurate position data corresponding to the target address. Therefore, the embodiment of the invention sends the verification information to the distribution object of the abnormal order, such as a rider, and the distribution object calibrates the position data to be verified.
As an alternative embodiment, the verification information may be in the form of a verification map, and a map of a certain geographic range around the target address is sent to the delivery object as the verification map in combination with the map data, so that the delivery object specifies more accurate position data of the target address in combination with the verification map.
And 104, updating the position data of the target address according to the calibration position data fed back by the calibration operation executed by the distribution object.
And after the distribution object performs the calibration operation, the calibration position data is fed back to the system, and the system updates the position data of the target address according to the feedback of the distribution object.
According to the method for calibrating the position of the target address provided by the embodiment of the invention, the abnormal order is obtained by identifying the delivered order, the position data to be verified of the target address of the abnormal order is obtained, the corresponding verification information is generated, the verification information is sent to the delivery object of the abnormal order, and the delivery object calibrates the position data of the target address. The delivery object actually delivers the delivered order, so that the delivery object is more clear of the accurate position data corresponding to the target address. Moreover, compared with the prior art, the distribution platform does not need to pay higher updating and maintenance cost, achieves higher data coverage rate and improves the distribution efficiency of distribution personnel.
Fig. 2 is a flowchart of a method for calibrating a location of a target address according to another embodiment of the present invention, which is applied to a server side, as shown in fig. 2, and includes the following steps:
Optionally, in this embodiment, the delivered orders generated in the period are identified according to a preset period, so as to obtain abnormal orders. For example, the preset period is 1 day, and the distribution platform system identifies the distributed orders generated in the day at idle time in the evening, and identifies abnormal orders in the day.
The identification of the abnormal order by the embodiment can be performed in one or more of the following manners:
the first mode is that the distribution time length of the distributed orders is obtained, and the orders with the distribution time length exceeding a preset time length threshold value are identified as abnormal orders.
This first approach is primarily used to identify orders that have severely timed out. If a certain delivered order belongs to a serious overtime order, the reason of the serious overtime may be that a rider cannot find an accurate delivery address according to path navigation in the delivery process. The preset time length threshold may be set according to actual conditions, which is not limited in the present invention.
Obtaining distribution track data of distributed orders, matching the distribution track data with track data provided by a map module, and identifying abnormal orders according to matching results;
the second mode is mainly used for identifying orders with detour conditions in the process of delivery by the rider. Generally, if a rider bypasses the delivery process, most reasons are that the rider cannot find an accurate delivery address according to path navigation in the delivery process, based on the situation, the method obtains delivery track data of the delivered order, matches the delivery track data with track data provided by a map module, and identifies an abnormal order according to a matching result.
As an alternative embodiment, since the detour condition mostly occurs near the rider's arrival target address, but the exact position of the target address cannot be determined, and the rider wanders into this area, before the matching, a part of the delivery trajectory data of the delivered order may be intercepted, for example, a part of the delivery trajectory data within a preset geographic range around the target address may be intercepted, and the part of the delivery trajectory data may be matched with the trajectory data within the same preset geographic range provided by the map module, and if the difference between the two is large, the detour condition is considered to occur, and the order is identified as an abnormal order.
The method and the device can be used for identifying the abnormal orders by using the first mode and the second mode independently, and can also be used in combination with the first mode and the second mode, so that the accuracy of identifying the abnormal orders by using the combined mode is higher.
And thirdly, identifying and obtaining the abnormal order according to the abnormal marking processing of the delivery object on the delivered order.
In mode three, after the delivery object completes delivery, the delivered order may be flagged abnormally. Specifically, if the rider finds that the position data of a certain target address is inaccurate in the actual delivery process, so that the delivery of the rider is not smooth, the order can be marked after the delivery is finished, and the order is marked as an abnormal order. The system identifies and obtains an abnormal order according to the marking result of the rider.
The target address to be verified may be a delivery destination address, a delivery start address, or a combination of both. Usually, the missing of the delivery platform is mainly the position data of the delivery end, i.e. the delivery destination address. However, in some special cases, for a merchant who just enters the platform or a merchant in a remote location, the distribution platform may also lack the location data of similar merchants, so the embodiment of the present invention may verify only the location data of the distribution end, and may also verify the location data of the merchant at the same time, and specifically may relate to the internal geographic location data of a cell or a business circle, for example: the location of the merchant inside the mall, the location of the elevator inside the mall, the user's cell number/building location, the location of navigation inside the cell, the location of cell entrance, etc.
Further, if the position data of a certain delivery address is missing or is not accurate enough, the number of involved abnormal orders may be multiple, and the embodiment may select k orders ranked in the top order from high to low according to the abnormal degree as subsequent abnormal orders to be processed. The abnormal degree can be determined according to the distribution time length obtained in the first mode, and the longer the distribution time length is, the higher the abnormal degree is; the degree of matching of the trajectory data obtained in the second mode can also be determined, and the lower the degree of matching, the higher the degree of abnormality.
After the abnormal order is identified, obtaining the distribution track data of the abnormal order, wherein the distribution track data comprises the travel track data of a rider from a distribution starting position to a distribution target position, and obtaining the to-be-verified position data of the target address of the abnormal order according to the distribution track data. The location data of the target address to be verified may be location data with insufficient accuracy, and is to be further verified.
As an optional implementation manner of the present invention, the to-be-verified position data of the target address may be determined by analyzing the delivery key node in the delivery trajectory, specifically: extracting time information of key distribution nodes from distribution track data; and determining the position data to be verified of the target address according to the position data corresponding to the time information of the distribution key node. Wherein, the key node of delivery includes: an arrival node, a running state transition node, and/or a path transition key node of the distribution object.
Specifically, in an implementation scenario, in a rider distribution process, the rider clicks to arrive after arriving at a destination, and the system records a time point of the rider arriving at a node, for example, in a certain order distribution process, the rider clicks to arrive at 12 min/05 min, and according to the time point, a longitude and latitude coordinate corresponding to the time point is extracted from the distribution track data of the rider and is used as position data to be verified.
In another implementation scenario, during the delivery process of the rider, after the rider reaches the destination, the rider selects to get off and walk, the running state of the rider is converted into the walking state from the riding state, and the system records the time point of the running state conversion node, for example, during a certain order delivery process, the rider is converted into the walking state from the riding state in 12.
In another implementation scenario, the delivery destination of the rider is located in an office building, the rider arrives at the door of the building, the rider enters the indoor from the outdoor, the path conversion of the rider can be analyzed through the trajectory data, and according to the time point of the key node of the path conversion, the longitude and latitude coordinates corresponding to the time point are extracted from the delivery trajectory data of the rider and serve as the position data to be verified.
In the embodiment of the invention, the specific mode of determining the position data to be verified of the target address by the distribution key node can be flexibly adjusted according to the actual condition of order distribution, and different modes are selected to determine the position data to be verified corresponding to different implementation scenes.
As another optional implementation manner of the present invention, the to-be-verified location data of the target address may be determined by analyzing a map interest Area (AOI) and a map interest Point (POI) in the distribution track, specifically: acquiring distribution track data of an abnormal order, and determining an AOI (automatic optical inspection) to which a target address belongs according to the distribution track data; and selecting at least one POI from the AOI, and using the position data of the at least one POI as the position data to be verified of the target address.
AOI is mainly used for expressing regional geographic entities such as a residential area, a university, an office building, an industrial park, a business district, etc. in a map, and POIs are mainly used for expressing a location point in a map, each POI comprising at least: name, address, category, latitude and longitude coordinates. In this embodiment, the distribution track data of the abnormal order is analyzed to determine the AOI to which the target address belongs, and although the latitude and longitude coordinates of the target address are missing or are not accurate enough, because the AOI is an area, the AOI to which the target address belongs can still be determined according to the distribution track of the rider. After the AOI is determined, one POI is selected from the AOI, and the longitude and latitude coordinates of the POI are used as position data to be verified of the target address. The POI closest to the delivery track of the rider is selected in consideration of selection of the POI.
After the position data to be verified is determined, calling a corresponding interface of a map system, and obtaining the map data of the geographic range containing the position data to be verified. The geographic range can be set according to business requirements, for example, set to be within 200 meters of a square circle, and the geographic range should be capable of covering an error range between the position data to be verified and the real position data so as to facilitate subsequent calibration by a rider; at the same time, however, the geographic range should not be so large that the rider sees the area where he or she has delivered to avoid affecting the rider's perception accuracy.
And generating verification information according to the map data. Since the map form has good intuitiveness and interactivity, the verification information in this embodiment takes the form of a map, specifically, a verification map. In the verification map, an icon is correspondingly marked at the position of the position data to be verified (namely the longitude and latitude coordinates to be verified of the target address), for example, a flag icon or a five-pointed star icon is marked, and in addition, verification prompt information is also included.
For example, the target address is a cell a, a cell B, the verification map may be a map covering the entire cell a, the to-be-verified position of the cell B is marked by an icon in the map, and the verification prompt information specifically includes: "please drag the icon to the location of building B in cell a" or "please click the location of building B in cell a" on the map.
Optionally, in the embodiment of the present invention, the verification information may not take the form of a map, but may also take other forms, for example, a picture form or a text form, and the delivery object may calibrate the position data of the target address according to a prompt of the picture or the text.
And step 206, sending the verification map to the distribution object so that the distribution object can execute calibration operation according to the verification prompt information and the icon.
And sending the verification map to the rider end so that the rider can perform calibration operation according to the instruction of the verification map. Optionally, the calibration operation comprises: an icon drag operation and/or a click operation.
For example, the rider performs an icon dragging operation in the verification map based on the verification prompt message "please drag the icon to the position of the building of the a-cell and the B-cell", and drags the icon to the accurate position of the target address based on the actual distribution condition of the rider. Or the rider clicks the accurate position of the target address in the verification map according to the verification prompt information of 'please click the position of the building of the A cell and the B cell in the map', and the actual distribution condition of the rider is obtained.
As an alternative implementation, it is necessary to select an appropriate time to send the verification map to the delivery object, so as to avoid interfering with the delivery of the delivery object and affecting the delivery experience.
One possible occasion is that, in the delivery subject registration process, the verification information is sent to the delivery subject of the abnormal order. For example, when a rider logs in to the rider APP for the first time each morning, a verification map is sent to the rider as a ring of rider login verification identity. The rider does not start to pick up the order at the moment, the rider has a deep impression on the abnormal order of the previous day, and the rider is required to perform calibration operation at the moment, so that accurate position data can be acquired conveniently.
Another possible occasion is to send verification information to the delivery subject of the abnormal order in accordance with the complaint request sent by the delivery subject. For example, when the rider overtimes the delivery because the position data of the target address is inaccurate, and the rider consequently raises a complaint, the verification map is sent to the rider. Since the complaint result directly affects the rider, the rider is required to perform calibration operation, and accurate position data can be conveniently acquired.
Another possible occasion is that the verification information is sent to the delivery object of the abnormal order in accordance with the access request of the delivery object to the abnormal information processing page. Specifically, the distribution platform can provide a labeling inlet of the abnormal information for the rider, and the rider actively accesses the abnormal information processing page to enter the labeling system to label and feed back the position data in idle time. The distribution platform can set certain reward measures to encourage riders to actively feed back, and position data in the distribution platform is perfected by means of the strength of the riders.
If the calibration operation executed by the rider is specifically the icon dragging operation, acquiring an operation end position of the icon dragging operation executed by the rider, namely map longitude and latitude data corresponding to the operation end point, as calibration position data. If the calibration operation executed by the rider is specifically a click operation, acquiring operation position data of the click operation executed by the rider, namely map longitude and latitude data corresponding to the click operation point, as calibration position data. And updating the position data of the target address according to the calibration position data, and specifically, recording the calibration position data as the position data of the target address in the distribution platform system.
Further, in practical situations, if the location data of a certain delivery address is missing or not accurate enough, the involved abnormal orders may be multiple, and these abnormal orders may be allocated to different delivery objects for delivery. According to the method provided by the above embodiment of the present invention, the final system can obtain a plurality of calibration position data for the same target address fed back by a plurality of distribution objects, and in consideration of this situation, the step 207 in the embodiment of the present invention may be: receiving a plurality of calibration position data fed back by a plurality of distribution objects aiming at the same target address to perform the calibration operation; and updating the position data of the target address according to the plurality of calibration position data.
In an alternative embodiment, according to the plurality of calibration location data, the specific way of updating the location data of the target address may be: and calculating the most possible position data by adopting a voting verification mechanism according to the weights of the distribution objects. The method specifically comprises the following steps: the plurality of calibration position data are weighted according to the weights of the plurality of distribution targets, and the position data of the target address are updated according to the weighted calculation result. The weight of the delivery objects may be determined according to the total delivery time, the delivery efficiency, the goodness of appreciation, and other factors of the delivery objects, which is not limited in the present invention.
In addition, in order to avoid that some distribution objects do not operate according to actual situations during feedback, for example, the distribution objects are randomly dragged or dragged, the embodiment of the present invention further includes: and iteratively adjusting the weights of the plurality of distribution objects according to the updated position data of the target address. And if the difference between the calibration position data fed back by the delivery object and the position data of the updated target address is large, reducing the weight of the delivery object. If a delivery subject is often out of order, the system will no longer adopt the calibration position data fed back by the delivery subject.
It should be noted that the present invention is not limited to calculating the position data of the target address by using a voting verification mechanism, and may also use a clustering method to cluster a plurality of calibration position data fed back by a plurality of delivery objects, and select the position data of the center point of the cluster as the position data of the target address.
According to the method for calibrating the position of the target address, provided by the embodiment of the invention, the completion or the update of the position data of the delivery address in the delivery platform is realized by virtue of the delivery experience of the delivery object, and the requirement that a large number of delivery addresses generated in actual situations need to be updated is met. Compared with the prior art, the distribution platform does not need to pay higher updating and maintaining cost, achieves higher data coverage rate, and improves the distribution efficiency of distribution personnel. Furthermore, the embodiment provides the verification map for the distribution object, so that the distribution object can directly perform calibration operation on the verification map conveniently, and the method has good intuitiveness and interactivity. In addition, the present embodiment selects an appropriate time to send the verification information to the distribution target, thereby avoiding interference with distribution by the distribution target. When the calibration position data of a plurality of distribution objects are obtained aiming at the same target address, voting verification is carried out according to the weights of the distribution objects, the accuracy of position data calibration is improved, iterative adjustment can be carried out on the weights of the distribution objects according to the calibration result, the weights of the distribution objects with low reliability are reduced, and the calibration result is prevented from being influenced.
Fig. 3 shows a flowchart of a method for calibrating a location of a target address according to another embodiment of the present invention, which is applied to a client side, particularly to a client side of a delivery object, as shown in fig. 3, the method includes the following steps:
The verification information is specifically a verification map, and the verification map comprises an icon corresponding to the position data to be verified and verification prompt information; the calibration operation for receiving the to-be-verified position data executed by the delivery object specifically includes: receiving icon dragging operation and/or clicking operation; in response to the calibration operation, feeding back the calibration position data to the server specifically is: responding to the icon dragging operation, and feeding back the operation ending position data of the icon dragging operation as calibration position data to the server; or, in response to the click operation, the operation position data of the click operation is fed back to the server as the calibration position data.
The method execution process of this embodiment may refer to the corresponding process description in the foregoing method embodiments, and is not described herein again.
Fig. 4 shows a schematic structural diagram of a server according to an embodiment of the present invention. As shown in fig. 4, the server 400 includes: an identification module 410, a generation module 420, a sending module 430, and an update module 440.
An identifying module 410, configured to identify a delivered order to obtain an abnormal order;
a generating module 420, configured to obtain distribution track data of the abnormal order, obtain to-be-verified position data of a target address of the abnormal order according to the distribution track data, and generate verification information of the to-be-verified position data;
a sending module 430, configured to send the verification information to a delivery object of the abnormal order, so that the delivery object performs, according to the verification information, a calibration operation on the position data to be verified;
an updating module 440, configured to update the location data of the target address according to the calibration location data fed back by the delivery object performing the calibration operation.
In an optional manner, the identification module 410 is specifically configured to:
acquiring the distribution time length of the distributed orders, and identifying the orders with the distribution time length exceeding a preset time length threshold value as abnormal orders;
and/or acquiring the distribution track data of the distributed orders, matching the distribution track data with the track data provided by the map module, and identifying and obtaining abnormal orders according to the matching result;
and/or identifying to obtain an abnormal order according to the abnormal marking processing of the delivery object to the delivered order.
In an optional manner, the identification module 410 is specifically configured to: and identifying the distributed orders in the period according to a preset period to obtain abnormal orders.
In an optional manner, the method further includes: the extracting module 450 is configured to extract a delivery start address and/or a delivery destination address of the abnormal order as a target address to be verified.
In an optional manner, the generating module 420 is specifically configured to:
acquiring distribution track data of the abnormal order, and extracting time information of a distribution key node from the distribution track data;
and determining the position data to be verified of the target address according to the position data corresponding to the time information of the distribution key node.
In an optional manner, the distribution key node includes: and the arrival node, the running state conversion node and/or the path conversion key node of the distribution object.
In an optional manner, the generating module 420 is specifically configured to:
acquiring distribution track data of the abnormal order, and determining a map interest area to which the target address belongs according to the distribution track data;
and selecting at least one map interest point from the map interest area, and taking the position data of the at least one map interest point as the position data to be verified of the target address.
In an optional manner, the generating module 420 is specifically configured to:
obtaining map data of a geographic range containing the position data to be verified;
and generating a verification map according to the map data, wherein the verification map comprises an icon corresponding to the position data to be verified and verification prompt information.
In an optional manner, the sending module 430 is specifically configured to: and sending the verification map to the delivery object so that the delivery object can execute calibration operation according to the verification prompt information and the icon.
In an alternative approach, the calibration operation includes: an icon drag operation and/or a click operation.
In an optional manner, the update module 440 is specifically configured to:
acquiring operation ending position data of the distribution object for executing icon dragging operation or operation position data of the distribution object for executing clicking operation as calibration position data;
and updating the position data of the target address according to the calibration position data.
In an optional manner, the update module 440 is specifically configured to:
receiving a plurality of calibration position data fed back by a plurality of distribution objects aiming at the same target address to perform the calibration operation;
and updating the position data of the target address according to the plurality of calibration position data.
In an optional manner, the update module 440 is specifically configured to: and performing a weighted operation on the plurality of calibration position data according to the weights of the plurality of distribution objects, and updating the position data of the target address according to the weighted operation result.
In an optional manner, the method further includes: the weight adjusting module 460 is configured to iteratively adjust the weights of the multiple distribution objects according to the updated location data of the target address.
In an optional manner, the sending module 430 is specifically configured to:
in the login process of the distribution object, the verification information is sent to the distribution object of the abnormal order;
or, according to a complaint request sent by a delivery object, sending the verification information to the delivery object of the abnormal order;
or sending the verification information to the delivery object of the abnormal order according to the access request of the delivery object to the abnormal information processing page.
Fig. 5 shows a schematic structural diagram of a client according to an embodiment of the present invention. As shown in fig. 5, the client 500 includes: a receiving module 510, an interaction module 520, and a response module 530.
A receiving module 510, configured to receive and present the verification information sent by the server; the verification information is information of position data to be verified of a target address of an abnormal order generated aiming at the abnormal order;
an interaction module 520, configured to receive a calibration operation of the to-be-verified position data performed by the delivery object;
a response module 530, configured to, in response to the calibration operation, feed back the calibration position data to the server, so that the server updates the position data of the target address.
In an optional mode, the verification information is specifically a verification map, and the verification map includes an icon corresponding to the to-be-verified position data and verification prompt information;
the interaction module 520 is specifically configured to: receiving icon dragging operation and/or clicking operation;
the response module 530 is specifically configured to: responding to an icon dragging operation, and feeding back operation end position data of the icon dragging operation as calibration position data to the server; or responding to the click operation, and feeding back operation position data of the click operation as calibration position data to the server.
The descriptions of the modules refer to the corresponding descriptions in the method embodiments, and are not repeated herein.
The embodiment of the present invention further provides a non-volatile computer storage medium, where the computer storage medium stores at least one executable instruction, and the executable instruction may execute the method for calibrating the location of the target address on the server side or the method for calibrating the location of the target address on the client side in any method embodiment described above.
Fig. 6 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and a specific embodiment of the present invention does not limit a specific implementation of the computing device.
As shown in fig. 6, the computing device may include: a processor (processor) 602, a communication Interface 604, a memory 606, and a communication bus 608.
Wherein:
the processor 602, communication interface 604, and memory 606 communicate with one another via a communication bus 608.
A communication interface 604 for communicating with network elements of other devices, such as clients or other servers.
The processor 602 is configured to execute the program 610, and may specifically execute relevant steps in the foregoing method for calibrating a location of a target address on a server side or in the embodiment of the method for calibrating a location of a target address on a client side.
In particular, program 610 may include program code comprising computer operating instructions.
The processor 602 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 606 for storing a program 610. Memory 606 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 610 may specifically be configured to cause the processor 602 to execute a method for calibrating a position of a target address in any of the above-described method embodiments. For specific implementation of each step in the program 610, reference may be made to corresponding steps and corresponding descriptions in units in the above embodiment of the method for calibrating a position of a target address, which are not described herein again. It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described devices and modules may refer to the corresponding process descriptions in the foregoing method embodiments, and are not described herein again.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of embodiments of the present invention as described herein, and any descriptions of specific languages are provided above to disclose preferred embodiments of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that is, the claimed embodiments of the invention require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the devices in an embodiment may be adaptively changed and arranged in one or more devices different from the embodiment. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore, may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. Embodiments of the invention may also be implemented as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing embodiments of the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Embodiments of the invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (9)
1. A method for calibrating the position of a target address comprises the following steps:
identifying the delivered orders to obtain abnormal orders;
acquiring the distribution track data of the abnormal order, obtaining to-be-verified position data of a target address of the abnormal order according to the distribution track data, and generating verification information of the to-be-verified position data;
sending the verification information to a delivery object of the abnormal order, so that the delivery object can execute calibration operation of the position data to be verified according to the verification information;
updating the position data of the target address according to calibration position data fed back by the delivery object executing the calibration operation;
wherein, the identifying the delivered order to obtain the abnormal order further comprises:
acquiring the distribution time length of the distributed orders, and identifying the orders with the distribution time length exceeding a preset time length threshold value as abnormal orders;
and/or acquiring the distribution track data of the distributed orders, matching the distribution track data with the track data provided by the map module, and identifying and obtaining abnormal orders according to the matching result;
and/or identifying to obtain an abnormal order according to the abnormal marking processing of the delivery object to the delivered order.
2. The method according to claim 1, wherein the identifying the delivered order and obtaining the abnormal order specifically comprises: and identifying the distributed orders in the period according to a preset period to obtain abnormal orders.
3. The method of claim 1, after obtaining an exception order, further comprising: and extracting a delivery starting address and/or a delivery destination address of the abnormal order as a target address to be verified.
4. The method according to any one of claims 1 to 3, wherein the obtaining of the delivery trajectory data of the abnormal order and the obtaining of the to-be-verified position data of the target address of the abnormal order according to the delivery trajectory data further comprises:
acquiring the distribution track data of the abnormal order, and extracting the time information of a distribution key node from the distribution track data;
and determining the position data to be verified of the target address according to the position data corresponding to the time information of the distribution key node.
5. A method for calibrating the position of a target address comprises the following steps:
receiving and presenting verification information sent by a server; the verification information is information of position data to be verified of a target address of an abnormal order generated aiming at the abnormal order;
receiving calibration operation of position data to be verified executed by a distribution object;
in response to the calibration operation, feeding back calibration position data to the server for the server to update position data of a target address;
wherein the abnormal order comprises:
identifying an abnormal order according to the fact that the delivery duration of the delivered order exceeds a preset duration threshold;
and/or identifying an abnormal order according to the matching result of the distribution track data of the distributed order and the track data provided by the map module;
and/or processing the identified abnormal orders according to the abnormal marking of the delivery objects to the delivered orders.
6. A server, comprising:
the identification module is used for identifying the delivered orders to obtain abnormal orders;
the generating module is used for acquiring the distribution track data of the abnormal order, obtaining to-be-verified position data of a target address of the abnormal order according to the distribution track data, and generating verification information of the to-be-verified position data;
the sending module is used for sending the verification information to a delivery object of the abnormal order so that the delivery object can execute the calibration operation of the position data to be verified according to the verification information;
the updating module is used for updating the position data of the target address according to the calibration position data fed back by the calibration operation executed by the distribution object;
wherein the identification module is specifically configured to:
acquiring the distribution time length of the distributed orders, and identifying the orders with the distribution time length exceeding a preset time length threshold value as abnormal orders;
and/or acquiring the distribution track data of the distributed orders, matching the distribution track data with the track data provided by the map module, and identifying and obtaining abnormal orders according to the matching result;
and/or identifying to obtain an abnormal order according to the abnormal marking processing of the delivery object to the delivered order.
7. A client, comprising:
the receiving module is used for receiving and presenting the verification information sent by the server; the verification information is information of position data to be verified of a target address of an abnormal order generated aiming at the abnormal order;
the interactive module is used for receiving calibration operation of the position data to be verified executed by the distribution object;
the response module is used for responding to the calibration operation and feeding back calibration position data to the server so that the server can update the position data of the target address;
wherein the exception order comprises:
identifying an abnormal order according to the fact that the delivery duration of the delivered order exceeds a preset duration threshold;
and/or identifying an abnormal order according to the matching result of the distribution track data of the distributed order and the track data provided by the map module;
and/or processing the identified abnormal orders according to the abnormal marking of the delivery objects to the delivered orders.
8. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the position calibration method of the target address in any one of claims 1-4, or execute the operation corresponding to the position calibration method of the target address in claim 5.
9. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform an operation corresponding to the method for location calibration of a target address of any one of claims 1-4 or an operation corresponding to the method for location calibration of a target address of claim 5.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106296065A (en) * | 2016-07-21 | 2017-01-04 | 北京京东尚科信息技术有限公司 | The monitoring method of order correct-distribute based on GIS technology exception, Apparatus and system |
| CN106529883A (en) * | 2016-11-23 | 2017-03-22 | 北京小度信息科技有限公司 | Data object distribution method and device |
| CN109476238A (en) * | 2016-06-16 | 2019-03-15 | 牛创科技私人有限公司 | Docking station for motor vehicles |
| CN111008805A (en) * | 2019-12-06 | 2020-04-14 | 京东数字城市(成都)科技有限公司 | Method and device for determining appropriate time, storage medium and electronic equipment |
| CN111343248A (en) * | 2020-02-14 | 2020-06-26 | 北京三快在线科技有限公司 | Method, device, system, server and storage medium for realizing online service |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7890735B2 (en) * | 2004-08-30 | 2011-02-15 | Texas Instruments Incorporated | Multi-threading processors, integrated circuit devices, systems, and processes of operation and manufacture |
| CN203820004U (en) * | 2014-05-13 | 2014-09-10 | 江西省烟草公司景德镇市公司 | Automatic shaping device for cigarette sorting line |
| CN105513593B (en) * | 2015-11-24 | 2019-09-17 | 南京师范大学 | A kind of intelligent human-machine interaction method of voice driven |
| JP6911411B2 (en) * | 2017-03-14 | 2021-07-28 | 富士通株式会社 | Communication devices, communication systems, communication control methods, and programs |
| CN111951486A (en) * | 2019-05-15 | 2020-11-17 | 北京致行慕远科技有限公司 | Alarm method and device for distribution cabinet, storage medium and electronic device |
| CN111546425B (en) * | 2020-04-24 | 2022-02-18 | 南兴装备股份有限公司 | High-speed computer board cutting saw, control system and working method |
-
2020
- 2020-12-16 CN CN202011486819.5A patent/CN112598348B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109476238A (en) * | 2016-06-16 | 2019-03-15 | 牛创科技私人有限公司 | Docking station for motor vehicles |
| CN106296065A (en) * | 2016-07-21 | 2017-01-04 | 北京京东尚科信息技术有限公司 | The monitoring method of order correct-distribute based on GIS technology exception, Apparatus and system |
| CN106529883A (en) * | 2016-11-23 | 2017-03-22 | 北京小度信息科技有限公司 | Data object distribution method and device |
| CN111008805A (en) * | 2019-12-06 | 2020-04-14 | 京东数字城市(成都)科技有限公司 | Method and device for determining appropriate time, storage medium and electronic equipment |
| CN111343248A (en) * | 2020-02-14 | 2020-06-26 | 北京三快在线科技有限公司 | Method, device, system, server and storage medium for realizing online service |
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