CN111027906B - Distribution order determining method, distribution order determining device, storage medium and terminal equipment - Google Patents
Distribution order determining method, distribution order determining device, storage medium and terminal equipment Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- H—ELECTRICITY
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- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/35—Services specially adapted for particular environments, situations or purposes for the management of goods or merchandise
Abstract
The disclosure provides a distribution order determining method, a distribution order determining device, a computer readable storage medium and terminal equipment, and relates to the technical field of computers. The distribution order determining method is applied to terminal equipment, and the terminal equipment comprises a positioning module and a wireless network module; the method comprises the following steps: acquiring the current position detected by the positioning module and the current wifi information detected by the wireless network module; acquiring a task address of a distribution order to be processed and historical wifi information corresponding to each task address; matching the current position with each task address, and matching the current wifi information with each historical wifi information to obtain a matching result; and determining a target delivery order from the to-be-processed delivery orders according to the matching result. The method for determining the delivery order without depending on the scanning label can improve the delivery efficiency and has higher practicability.
Description
Technical Field
The disclosure relates to the technical field of computers, and in particular relates to a delivery order determining method, a delivery order determining device, a computer readable storage medium and terminal equipment.
Background
When a distributor distributes goods on site, the distributor needs to perform relevant operations such as throwing, rejecting, collecting and the like in the system through terminal equipment such as a PDA (Personal Digital Assistant, palm computer) or a mobile phone and the like. Typically, in order to find a corresponding delivery order to perform the above operations in the order, a label such as a two-dimensional code or a bar code on the package needs to be scanned to jump to the order interface. However, this approach has the following problems:
1. the labels are required to be searched on the packages by the distributor, the operation time of the distributor for a plurality of seconds to tens of seconds is increased for each package, and the accumulated influence on the distribution efficiency is large;
2. if the label on the package is damaged or obscured, the label cannot be scanned, or is not operated when the package is delivered, and the label cannot be scanned when the package is operated afterwards, a dispenser is required to manually select a delivery order in the system, so that more time is consumed, and the accuracy of the selected order cannot be ensured.
It should be noted that the information disclosed in the above background section is only for enhancing 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
The present disclosure provides a delivery order determining method, a delivery order determining device, a computer readable storage medium and a terminal device, thereby overcoming the problem of the prior art that the selection of a delivery order depends on a scanning label at least to some extent.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to a first aspect of the present disclosure, there is provided a delivery order determining method applied to a terminal device, the terminal device including a positioning module and a wireless network module; the method comprises the following steps: acquiring current position detected by the positioning module and current wifi (Wireless Fidelity ) information detected by the wireless network module; acquiring a task address of a distribution order to be processed and historical wifi information corresponding to each task address; matching the current position with each task address, and matching the current wifi information with each historical wifi information to obtain a matching result; and determining a target delivery order from the to-be-processed delivery orders according to the matching result.
Optionally, the matching the current location with each task address, and matching the current wifi information with each historical wifi information, to obtain a matching result, includes: respectively calculating a first matching degree of the current position and each task address; respectively calculating a second matching degree of the current wifi information and each historical wifi information; and determining the comprehensive matching degree of each to-be-processed delivery order by combining the first matching degree and the corresponding second matching degree.
Optionally, the determining, according to the matching result, a target delivery order from the to-be-processed delivery orders includes: determining the preset quantity of to-be-processed delivery orders with highest comprehensive matching degree as target delivery orders; or determining the to-be-processed delivery order with the comprehensive matching degree reaching a preset threshold as a target delivery order.
Optionally, the calculating the first matching degree between the current location and each task address includes: and calculating a first matching degree between the current position and the task address according to the distance between the current position and the task address.
Optionally, the calculating the second matching degree of the current wifi information and each historical wifi information includes: acquiring a shared wireless local area network which is simultaneously present in the current wifi information and the historical wifi information; and calculating the second matching degree of the current wifi information and the historical wifi information according to the signal intensity of the common wireless local area network in the current wifi information.
Optionally, the calculating the second matching degree of the current wifi information and each historical wifi information respectively further includes: and if the current wifi information and the historical wifi information do not have a shared wireless local area network, determining that the second matching degree of the current wifi information and the historical wifi information is 0.
Optionally, the obtaining the current location detected by the positioning module and the current wifi information detected by the wireless network module includes: and responding to the preset operation of processing the delivery order input by the delivery person, triggering and controlling the positioning module to detect the current position and controlling the wireless network module to detect the current wifi information.
Optionally, after determining the target delivery order, the method further comprises: displaying the list of the target delivery orders.
Optionally, after determining the target delivery order, the method further comprises: and updating the historical wifi information corresponding to the current position according to the current wifi information.
Optionally, the current wifi information includes: SSID (Service Set Identifier, service set identification) and signal strength of the currently detected wireless local area network.
Optionally, the historical wifi information corresponding to the task address includes: and when the task address carries out historical distribution, the SSID of the wireless local area network with the highest detected signal strength is detected.
According to a second aspect of the present disclosure, there is provided a delivery order determining apparatus configured to a terminal device, the terminal device further including a positioning module and a wireless network module; the device comprises: the current information detection unit is used for acquiring the current position detected by the positioning module and the current wifi information detected by the wireless network module; the order information acquisition unit is used for acquiring task addresses of the distribution orders to be processed and historical wifi information corresponding to each task address; the matching unit is used for matching the current position with each task address, and matching the current wifi information with each historical wifi information to obtain a matching result; and the target delivery order determining unit is used for determining a target delivery order from the to-be-processed delivery orders according to the matching result.
According to a third 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 any of the above-described delivery order determining methods.
According to a fourth aspect of the present disclosure, there is provided a terminal device comprising: a processor; a memory for storing executable instructions of the processor; a positioning module; a wireless network module; wherein the processor is configured to perform any of the above-described delivery order determination methods via execution of the executable instructions.
The technical scheme of the present disclosure has the following beneficial effects:
according to the delivery order determining method, the delivery order determining device, the computer readable storage medium and the terminal equipment, the current position and the current wifi information are obtained, the task address of the delivery order to be processed and the corresponding historical wifi information are obtained, and the target delivery order is determined from the delivery order to be processed through matching of the current position and the task addresses and matching of the current wifi information and the historical wifi information. On the one hand, the method for determining the delivery order without depending on the label scanning is provided, so that the time consumed by a delivery person for scanning the label can be reduced, the delivery efficiency is improved, and under the condition that the label is damaged and the package is delivered, the delivery person does not need to manually select the label, and the target delivery order can be determined, so that the method has higher practicability. On the other hand, the data of the two aspects of the position information and the wifi information are integrated, the to-be-processed delivery order is matched, so that the target delivery order which needs to be processed by a delivery person is determined, the accuracy is high, the result error caused by unilateral data fluctuation is improved, and the robustness is high. On the other hand, based on the detection of the location information by the location module and the detection of the wifi information by the wireless network module, the two modules are basic configurations of most terminal equipment at present, so that the scheme does not need to be improved in terms of hardware, and the implementation cost is lower.
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 disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
FIG. 1 shows a flow chart of a delivery order determination method in the present exemplary embodiment;
FIG. 2 illustrates a sub-flowchart of a delivery order determination method in the present exemplary embodiment;
FIG. 3 is a flow chart illustrating another method of determining a delivery order in the present exemplary embodiment;
fig. 4 is a block diagram showing a configuration of a delivery order determining apparatus in the present exemplary embodiment;
fig. 5 shows a computer-readable storage medium for implementing the above-described method in the present exemplary embodiment;
fig. 6 shows a terminal device for implementing the above method in the present exemplary embodiment.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many 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 the 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 present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. 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 a repetitive description thereof 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 software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
The exemplary embodiment of the disclosure provides a delivery order determining method, which can be applied to terminal equipment such as mobile phones, PDAs, tablet computers and the like. The terminal equipment comprises a positioning module and a wireless network module, wherein the positioning module is used for positioning the terminal equipment, and can detect position information through GPS (Global Positioning System ) signals, beidou satellite navigation signals and the like; the wireless network module is used for detecting and connecting the wireless local area network. The application scenario of the present exemplary embodiment includes, but is not limited to: when executing the delivery order, the delivery operator needs to perform operations such as throwing, rejecting, collecting and the like on the delivery order on the system, and the target delivery order required to be processed by the delivery operator is rapidly determined through the exemplary embodiment, so that the delivery operator can perform corresponding operations in the task.
Fig. 1 shows a flow of the present exemplary embodiment, which may include steps S110 to S140, each of which is specifically described below:
step S110, obtaining the current location detected by the positioning module and the current wifi information detected by the wireless network module.
The current location may be an absolute coordinate of the current location, such as a GIS (Geographic Information System ) coordinate, and may include a longitude, latitude, and altitude, denoted as GIS _current (x, y, z). The current wifi information may be wifi signals in the surrounding environment scanned by the wireless network module, and the obtained wifi information list may include, for example, SSID and signal strength of each detected wireless local area network, where the signal strength may be represented by indexes such as RSSI (Received Signal Strength Indicator, received signal strength), and the disclosure is not limited thereto.
In an alternative embodiment, step S110 may include:
and responding to the preset operation of processing the delivery order input by the delivery person, triggering the control positioning module to detect the current position, and controlling the wireless network module to detect the current wifi information.
The preset operation refers to a trigger operation of the dispatcher to start processing the delivery order, for example, clicking an option of processing the delivery order in the user interface, or entering a corresponding operation of processing the interface, or waking up the PDA, etc. When there are a plurality of pending delivery orders in the task list of the dispatcher, the execution of the method flow of fig. 1 may be triggered to begin by performing a preset operation to determine the target delivery order in a subsequent step.
Step S120, obtaining task addresses of the distribution orders to be processed and historical wifi information corresponding to the task addresses.
The number of pending delivery orders, i.e. currently unprocessed delivery orders, is typically a plurality. For example, the task list for the day of the dispatcher contains a total of 100 delivery orders, 10 of which have been processed in the system, with the remaining 90 orders being pending delivery orders. The delivery order according to the present exemplary embodiment is a generalized order, including an order of delivering a piece, an order of collecting a piece, and the like, and the corresponding receiving address and delivering address (which are generally the same as the collecting address) are task addresses, that is, the site addresses that the delivery person needs to arrive when executing the task.
In the present exemplary embodiment, each dispatcher keeps the wifi function of the terminal device open during the dispatching process, detects wifi information of the surrounding environment when order operation is performed in the system, and stores the wifi information in the background server. The background server can record the corresponding relation between the task address of the order and wifi information to form a database. Therefore, after the task address of each to-be-processed delivery order is obtained, the historical wifi information corresponding to each task address can be obtained. The historical wifi information may include: the information of the detected one or more wireless local area networks may include SSID and signal strength of each wireless local area network, etc. when the task address is historically distributed, the information is typically the wireless local area network used by the client, office or nearby shops of the task address. The historical wifi information can be wifi information detected in the last delivery, or can be the integration of wifi information detected in the multiple historical delivery, for example, the method can include: the SSID of the wireless local area network with the highest detected signal strength is formed when the task address carries out historical distribution last time, or the SSID of the wireless local area network with the highest detected signal strength is formed into a set each time when the task address carries out historical distribution for a plurality of times.
It should be noted that each pending delivery order corresponds to a task address, and corresponds to a set of historical wifi information. Thus, an information list of pending delivery orders may be formed, wherein each pending delivery order is a tuple comprising an order number, a task address, and historical wifi information.
In this exemplary embodiment, the terminal device may acquire, in advance, task addresses of all delivery orders in the same day and its historical wifi information from the server, and use the information directly in the delivery process, or acquire the above information from the server after the delivery person inputs a preset operation for processing the delivery orders. The present disclosure is not limited in this regard.
And step S130, matching the current position with each task address, and matching the current wifi information with each historical wifi information to obtain a matching result.
When the current position is the same as a certain position in the historical distribution, the current wifi information and the historical wifi information are similar due to the fact that wifi signals of the detected surrounding environments are similar. Therefore, the present exemplary embodiment determines whether the dispatcher is currently precisely at the task address of the pending dispatch order by matching the current location with the task address and matching the current wifi information with the historical wifi information. The closer the current position and the task address are, the higher the matching degree is, the more similar the current wifi information and the historical wifi information are, and the higher the matching degree is.
In an alternative embodiment, referring to fig. 2, step S130 may specifically include the following steps S201 to S203:
step S201, a first matching degree of the current position and each task address is calculated respectively.
The first matching degree can be regarded as a component of the matching degree and is used for measuring the matching degree of the position data. And carrying out matching calculation on the current position and each task address respectively to obtain a corresponding first matching degree.
In one embodiment, a first degree of matching between the current location and the task address may be calculated based on a distance between the current location and the task address. The first degree of matching and the distance may be proportional or other positively correlated mappings. For example, formula (1) shows:
m1＝|D(gis_current(x,y,z)–gis_task(x,y,z))·gis_factor| (1)
wherein m1 represents a first degree of matching; |·| represents absolute value; d (a, b) represents the distance between the two points a, b, and a Euclidean distance or Manhattan distance calculation method can be adopted; GIS _current (x, y, z) is GIS coordinates of the current position, GIS _task is GIS coordinates of the task address; gis _factor is a position coefficient, and can be set empirically or configured for optimization according to actual operation conditions. The meaning of formula (1) is: and calculating the distance between the current position and the task address, and multiplying the absolute value of the distance by a position coefficient to obtain a first matching degree. The formula (1) is a linear calculation process, and is simpler.
In another embodiment, the position fix may be periodically acquired over a period of time as the current position, e.g., the GPS signal is acquired every 10 seconds for a total of 10 acquisitions, resulting in 10 current positions. The task address is centered and defines an allowable positioning error range, e.g. a circular area with a radius of 200 meters, which is larger than the one associated with the quality of the positioning signal. Then, the number of the current positions falling within the error range is detected, for example, 8 of the 10 current positions fall within the range, and 2 of the current positions fall outside the range, so that the first matching degree between the current position and the task address is 80%.
Step S202, respectively calculating the second matching degree of the current wifi information and each historical wifi information.
The second matching degree can be regarded as another component of the matching degree and is used for measuring the matching degree of wifi information data. And carrying out matching calculation on the current wifi information and each group of historical wifi information respectively to obtain a corresponding second matching degree. The second degree of matching is also in one-to-one correspondence with the first degree of matching.
In an alternative embodiment, step S202 may be implemented by:
acquiring a common wireless local area network which is simultaneously present in the current wifi information and the historical wifi information;
And calculating the second matching degree of the current wifi information and the historical wifi information according to the signal intensity of the common wireless local area network in the current wifi information.
The term "sharing" in the shared wireless lan means that the current wifi information and the historical wifi information appear simultaneously. For example, the current wifi information includes a set { wifi a, wifi b, wifi c } of SSID, and the historical wifi information includes a set { wifi a, wifi d, wifi e, wifi } of SSID, which are intersected to obtain the wifi a. Detect the signal strength of wifi A in the current wifi information, convert it into the second matching degree of current wifi information and historical wifi information.
In particular, the historical wifi information may only include the SSID of the wireless local area network with the highest signal strength in the historical detection, which indicates that the task address is very close to the signal source of the wireless local area network, so that the proximity degree of the current position and the task address can be accurately measured through the signal strength of the wireless local area network in the current wifi information.
Further, if the current wifi information and the historical wifi information do not have a shared wireless local area network, it can be determined that the second matching degree of the current wifi information and the historical wifi information is 0.
The above calculation process can be described with reference to formulas (2) and (3):
task_wifi＝{wifis_current}∩{wifis_history} (2)
m2＝(task_wifi＝＝null0∶task_wifi.strength)·wifi_factor (3)
The method comprises the steps that { wifi_current } represents an SSID set in current wifi information, { wifi_history } represents an SSID set in historical wifi information, and the two are intersected to obtain a shared wireless local area network task_wifi; if the intersection of the two is empty, then task_wifi=null. In formula (3), m2 represents a second matching degree; for the items in brackets, if task_wifi=null, then it is 0, otherwise it is the signal strength of task_wifi, namely task_wifi. wifi_factor is wifi coefficient, can set up according to experience, also can dispose the accent according to actual operation condition.
The meanings of formulas (2), (3) are: the common wireless local area network is searched, the signal intensity is multiplied by the wifi coefficient to obtain the second matching degree, and the method is a linear calculation process and is simpler.
It should be added that if multiple shared wireless local area networks are found, the specific weight (such as the occurrence number or the signal strength) occupied by each shared wireless local area network in the historical wifi information can be used as a weight, the signal strength of each shared wireless local area network is weighted, and then the wifi coefficient is multiplied, so that the second matching degree is obtained.
Step S203, the first matching degree and the corresponding second matching degree are combined to determine the comprehensive matching degree of each to-be-processed delivery order.
The comprehensive matching degree is used for measuring the matching degree of the current position, wifi information and each to-be-processed delivery order.
In one embodiment, weights of the first matching degree and the second matching degree can be determined according to experience and actual application requirements, and the weights are used for weighting the first matching degree and the second matching degree to obtain the comprehensive matching degree.
In another embodiment, based on the first matching degree m1 and the second matching degree m2 obtained by the above formulas (1) to (3), the integrated matching degree can be calculated by the following formula (4):
mf＝K–(m1–m2) (4)
wherein mf is the comprehensive matching degree; k is a basic coefficient, and can be set to be 100 or other empirical values. Equation (4) shows that: the closer the distance between the current position and the task address is, the larger the signal strength of the shared wireless local area network is, and the higher the comprehensive matching degree is.
Step S140, determining a target delivery order from the delivery orders to be processed according to the matching result.
The higher the matching degree is, the more the current position and wifi information are matched with the to-be-processed delivery order, and the higher the probability that the delivery person is processing the order is. The target delivery order is an order being processed by a delivery person estimated by the system, and the number of the target delivery orders can be one or a plurality of target delivery orders.
In one embodiment, the preset number of pending delivery orders with the highest comprehensive matching degree may be determined as the target delivery order. The preset number is a value preset according to actual conditions, and represents the possible number of the target delivery orders. For example, p represents a preset number, after calculating the comprehensive matching degree of each of the pending delivery orders, the first p pending delivery orders are selected as target delivery orders according to the order from high to low.
In another embodiment, the pending delivery order for which the above-mentioned integrated matching degree reaches (i.e., is greater than or equal to) a preset threshold may be determined as the target delivery order. The preset threshold is a numerical value for measuring whether the comprehensive matching degree reaches a certain standard or not, and can be set according to experience or actual requirements. When the comprehensive matching degree reaches a preset threshold, the probability that the corresponding order is processed by the dispatcher is judged to be higher, and the corresponding order is taken as a target delivery order.
From the above, the number of target delivery orders is uncertain and may be more than one. Thus, the individual target delivery orders may also be arranged into a list, which is displayed in a user interface operated by the dispatcher. The list can be arranged according to the order of the matching degree from high to low, and main information of orders, such as customer names, task addresses and the like, can be displayed, so that a dispatcher can quickly select the order which the dispatcher is processing in the list.
In an optional implementation manner, after determining the target delivery order, the historical wifi information corresponding to the current position may be updated according to the current wifi information. If the current position appears for the first time, the historical wifi information of the current position can be generated, part or all of the content in the current wifi information is stored, for example, the SSID of the wireless local area network with the highest signal intensity in the current wifi information can be stored, an SSID list in the current wifi information can also be stored, and the signal intensity of each SSID and the like can be recorded; if the current position is the task address of a certain historical delivery order and has corresponding historical wifi information, the current wifi information can be added or the original historical wifi information can be covered. The present disclosure is not limited in this regard. The historical wifi information is updated, the follow-up determination processing of the distribution order can be facilitated, and the situation that the accuracy is reduced due to the fact that the historical wifi information is too long in time is improved.
Fig. 3 shows a schematic flow of the present exemplary embodiment. The method comprises the following steps:
step S301, receiving a preset operation of processing a delivery order input by a delivery person;
step S302, acquiring the current position and the current wifi information;
Step S303, acquiring task addresses of the distribution orders to be processed and historical wifi information corresponding to the task addresses;
step S304, matching the current position with the task address, and matching the current wifi information with the historical wifi information to obtain the matching degree of each to-be-processed delivery order;
step S305, determining a target delivery order in the delivery orders to be processed according to the matching degree, and displaying the target delivery order in a user interface;
step S306, the dispatcher selects a target delivery order to be processed in the interface and performs corresponding operation;
step S307, detecting whether the task address of the target delivery order is consistent with the current position, and whether the historical wifi information is consistent with the current wifi information; if there is an inconsistency, executing step S308; if they are consistent, step S309 is executed;
and step S308, updating the stored task address and the historical wifi information according to the current position and the current wifi information. For example, the current position can be stored as a task address of the target delivery order, and the SSID of the wireless local area network with the highest signal intensity in the current wifi information is stored as the historical wifi information corresponding to the task address;
step S309, the entire flow is ended.
To sum up, in this exemplary embodiment, the current position and the current wifi information are obtained, the task address of the to-be-processed delivery order and the corresponding historical wifi information are obtained, and the target delivery order is determined from the to-be-processed delivery order through matching of the current position and each task address and matching of the current wifi information and each historical wifi information. On the one hand, the method for determining the delivery order without depending on the label scanning is provided, so that the time consumed by a delivery person for scanning the label can be reduced, the delivery efficiency is improved, and under the condition that the label is damaged and the package is delivered, the delivery person does not need to manually select the label, and the target delivery order can be determined, so that the method has higher practicability. On the other hand, the data of the two aspects of the position information and the wifi information are integrated, the to-be-processed delivery order is matched, so that the target delivery order which needs to be processed by a delivery person is determined, the accuracy is high, the result error caused by unilateral data fluctuation is improved, and the robustness is high. On the other hand, based on the detection of the location information by the positioning module and the detection of the wifi information by the wireless network module, the two modules are basic configurations of most terminal devices at present, so that the present exemplary embodiment does not need to make improvement in terms of hardware, and has lower implementation cost.
The exemplary embodiment of the disclosure also provides a delivery order determining device, which can be configured in a terminal device, and the terminal device further comprises a positioning module and a wireless network module. As shown in fig. 4, the delivery order determining apparatus 400 may include:
a current information detecting unit 410, configured to obtain a current position detected by the positioning module and current wifi information detected by the wireless network module;
the order information obtaining unit 420 is configured to obtain a task address of a to-be-processed delivery order and historical wifi information corresponding to each task address;
the matching unit 430 is configured to match the current location with each task address, and match the current wifi information with each historical wifi information, so as to obtain a matching result;
the target delivery order determining unit 440 is configured to determine a target delivery order from the pending delivery orders according to the matching result.
In an alternative embodiment, the matching unit 430 may include: the first matching unit is used for respectively calculating the first matching degree of the current position and each task address; the second matching unit is used for respectively calculating the second matching degree of the current wifi information and each historical wifi information; and the comprehensive matching unit is used for combining the first matching degree and the corresponding second matching degree to determine the comprehensive matching degree of each to-be-processed delivery order.
In an alternative embodiment, the target delivery order determining unit 440 is further configured to determine the preset number of pending delivery orders with the highest overall matching degree as the target delivery order, or determine the pending delivery order with the overall matching degree reaching the preset threshold as the target delivery order.
In an alternative embodiment, the first matching unit is further configured to calculate a first matching degree between the current location and the task address according to a distance between the current location and the task address.
In an optional implementation manner, the second matching unit is further used for obtaining a common wireless local area network which occurs in the current wifi information and the historical wifi information at the same time, and calculating the second matching degree of the current wifi information and the historical wifi information according to the signal intensity of the common wireless local area network in the current wifi information.
In an optional implementation manner, the second matching unit is further configured to determine that the second matching degree of the current wifi information and the historical wifi information is 0 if the current wifi information and the historical wifi information do not have a common wireless local area network.
In an alternative embodiment, the current information detecting unit 410 is further configured to trigger the control positioning module to detect the current position and control the wireless network module to detect the current wifi information in response to a preset operation of processing the delivery order input by the dispatcher.
In an alternative embodiment, the target delivery order determining unit 440 is further configured to display a list of target delivery orders after determining the target delivery orders.
In an alternative embodiment, the delivery order determining apparatus 400 may further include: and the history information finer unit is configured to update the history wifi information corresponding to the current location according to the current wifi information after the target delivery order determining unit 440 determines the target delivery order.
In an alternative embodiment, the current wifi information may include: service set identification and signal strength of the currently detected wireless local area network.
In an alternative embodiment, the historical wifi information corresponding to the task address may include: and when the task address carries out historical distribution, the service set identification of the wireless local area network with the highest detected signal strength is detected.
The specific details of each unit in the above apparatus are already described in the method section, and the details that are not disclosed can be referred to the embodiment of the method section, so that they will not be described in detail.
Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
Exemplary embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification. In some possible implementations, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.
Referring to fig. 5, a program product 500 for implementing the above-described method according to an exemplary embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a 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.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a 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 readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
The exemplary embodiment of the disclosure also provides a terminal device, such as a mobile phone, a PDA, a tablet computer, etc., capable of implementing the method. A terminal device 600 according to such an exemplary embodiment of the present disclosure is described below with reference to fig. 6. The terminal device 600 shown in fig. 6 is only one example, and should not impose any limitation on the functions and scope of use of the embodiments of the present disclosure.
As shown in fig. 6, the terminal device 600 may be embodied in the form of a general purpose computing device. The components of terminal device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting the different system components (including the storage unit 620 and the processing unit 610), a display unit 640, a network adapter 660, and a positioning module 670; the network adapter 660 includes a wireless network module to which a wireless local area network may be connected; the location module 670 may detect location information of the terminal device 600.
The storage unit 620 stores program codes that can be executed by the processing unit 610, so that the processing unit 610 performs the steps according to various exemplary embodiments of the present disclosure described in the above "exemplary method" section of the present specification. For example, the processing unit 610 may perform the method steps shown in fig. 1, 2 or 3.
The storage unit 620 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 621 and/or cache memory 622, and may further include Read Only Memory (ROM) 623.
The storage unit 620 may also include a program/utility 624 having a set (at least one) of program modules 625, such program modules 625 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 630 may be a local bus representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or using any of a variety of bus architectures.
The terminal device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the terminal device 600, and/or any device (e.g., router, modem, etc.) that enables the terminal device 600 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 650. Also, terminal device 600 can communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, for example, the Internet, via network adapter 660. As shown, network adapter 660 communicates with other modules of terminal device 600 over bus 630. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with terminal device 600, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the exemplary embodiments of the present disclosure.
Furthermore, the above-described figures are only schematic illustrations of processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with exemplary embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (14)
1. A delivery order determining method applied to a terminal device used by a delivery person, wherein the terminal device comprises a positioning module and a wireless network module; characterized in that the method comprises:
acquiring the current position detected by the positioning module and the current wifi information detected by the wireless network module;
acquiring a task address of a distribution order to be processed and historical wifi information corresponding to each task address;
Matching the current position with each task address, and matching the current wifi information with each historical wifi information to obtain a matching result;
determining a target delivery order from the delivery orders to be processed according to the matching result;
the matching the current position with each task address, and matching the current wifi information with each historical wifi information to obtain a matching result, including:
respectively calculating a first matching degree of the current position and each task address; the first matching degree is used for measuring the matching degree of the position data;
respectively calculating a second matching degree of the current wifi information and each historical wifi information; the second matching degree is used for measuring the matching degree of wifi information data;
and determining the comprehensive matching degree of each to-be-processed delivery order by combining the first matching degree and the corresponding second matching degree.
2. The method of claim 1, wherein the current location comprises a plurality of current locations periodically acquired over a period of time; the calculating the first matching degree of the current position and each task address respectively includes:
And defining an allowable positioning error range by taking the task address as a center, and taking the proportion of the current positions falling into the positioning error range as a first matching degree of the current positions and the task address.
3. The method of claim 1, wherein said determining a target delivery order from said pending delivery orders based on said matching results comprises:
determining the preset quantity of to-be-processed delivery orders with highest comprehensive matching degree as target delivery orders; or alternatively
And determining the to-be-processed delivery order of which the comprehensive matching degree reaches a preset threshold as a target delivery order.
4. The method of claim 1, wherein said calculating a first degree of matching of said current location and each of said task addresses, respectively, comprises:
and calculating a first matching degree between the current position and the task address according to the distance between the current position and the task address.
5. The method of claim 1, wherein the calculating the second matching degree of the current wifi information and each of the historical wifi information respectively includes:
acquiring a shared wireless local area network which is simultaneously present in the current wifi information and the historical wifi information;
And calculating the second matching degree of the current wifi information and the historical wifi information according to the signal intensity of the common wireless local area network in the current wifi information.
6. The method of claim 5, wherein the calculating the second matching degree of the current wifi information and each of the historical wifi information respectively further comprises:
and if the current wifi information and the historical wifi information do not have a shared wireless local area network, determining that the second matching degree of the current wifi information and the historical wifi information is 0.
7. The method of claim 1, wherein the obtaining the current location detected by the positioning module and the current wifi information detected by the wireless network module comprises:
and responding to the preset operation of processing the delivery order input by the delivery person, triggering and controlling the positioning module to detect the current position and controlling the wireless network module to detect the current wifi information.
8. The method of claim 1, wherein after determining the target delivery order, the method further comprises:
displaying the list of the target delivery orders.
9. The method of claim 1, wherein after determining the target delivery order, the method further comprises:
And updating the historical wifi information corresponding to the current position according to the current wifi information.
10. The method according to any of claims 1 to 9, wherein the current wifi information comprises: service set identification and signal strength of the currently detected wireless local area network.
11. The method according to any one of claims 1 to 9, wherein the historical wifi information corresponding to the task address includes: and when the task address carries out historical distribution, the service set identification of the wireless local area network with the highest detected signal strength is identified.
12. A delivery order determining device configured to a terminal device used by a delivery person, the terminal device further comprising a positioning module and a wireless network module; characterized in that the device comprises:
the current information detection unit is used for acquiring the current position detected by the positioning module and the current wifi information detected by the wireless network module;
the order information acquisition unit is used for acquiring task addresses of the distribution orders to be processed and historical wifi information corresponding to each task address;
the matching unit is used for matching the current position with each task address, and matching the current wifi information with each historical wifi information to obtain a matching result;
The target delivery order determining unit is used for determining a target delivery order from the to-be-processed delivery orders according to the matching result;
wherein the matching unit includes:
the first matching unit is used for respectively calculating the first matching degree of the current position and each task address; the first matching degree is used for measuring the matching degree of the position data;
the second matching unit is used for respectively calculating the second matching degree of the current wifi information and each piece of historical wifi information; the second matching degree is used for measuring the matching degree of wifi information data;
and the comprehensive matching unit is used for combining the first matching degree and the corresponding second matching degree to determine the comprehensive matching degree of each to-be-processed delivery order.
13. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any one of claims 1 to 11.
14. A terminal device, comprising:
a processor;
a memory for storing executable instructions of the processor;
a positioning module; and
a wireless network module;
wherein the processor is configured to perform the method of any one of claims 1 to 11 via execution of the executable instructions.
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| CN113761085B (en) * | 2020-06-05 | 2023-09-26 | 北京京东振世信息技术有限公司 | Method and device for processing order data |
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