CN110599078A - Logistics distribution information processing method and device and computer equipment - Google Patents
Logistics distribution information processing method and device and computer equipment Download PDFInfo
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Abstract
The application discloses a method and a device for processing logistics distribution information and computer equipment, relates to the technical field of information, and can effectively solve the problem that in the prior art, more accurate goods distribution time cannot be given. The method comprises the following steps: acquiring first historical distribution record information of a distribution station where goods to be distributed are located; acquiring second historical distribution record information of a distributor distributing the goods to be distributed; determining a first distribution time length of the goods to be distributed according to the first historical distribution record information and the second historical distribution record information, wherein the first distribution time length is a time length required from the time when the distribution station starts to distribute the goods to be distributed until the goods to be distributed arrive; and determining the current delivery time of the goods to be delivered according to the first delivery duration and the delivery starting time point of the goods to be delivered. The method and the device are suitable for processing the logistics distribution information.
Description
Technical Field
The present application relates to the field of information technology, and in particular, to a method and an apparatus for processing logistics distribution information, and a computer device.
Background
Logistics distribution, i.e. a way of commodity circulation from the business of commodity circulation. Is a modern circulation mode. The logistics distribution is positioned in a logistics mode of providing service for customers of electronic commerce, carrying out unified information management and scheduling on the whole logistics distribution system according to the characteristics of the electronic commerce, carrying out tally work in a logistics base according to the ordering requirements of users, and delivering the matched goods to consignees.
In the prior art, the amount of goods in each batch and the time of arrival of the goods at the target warehouse are used to determine the delivery time of the goods, i.e. the delivery time is the time when a predetermined amount of goods can be delivered to the buyer, wherein the delivery time is equivalent to the time when the goods can be sent out from the delivery station.
However, in an actual scene, most users are concerned about how long the goods can be delivered to the door, and a certain time is still needed from the delivery station to the delivery station, so that the actual delivery time of the goods is unknown, and the users are not aware of the more accurate delivery time of the goods, which causes certain inconvenience.
Disclosure of Invention
In view of this, the present application provides a method and an apparatus for processing logistics distribution information, and a computer device, and mainly aims to solve the problem that in the prior art, a more accurate goods distribution time cannot be provided.
According to an aspect of the present application, there is provided a method for processing logistics distribution information, the method including:
acquiring first historical distribution record information of a distribution station where goods to be distributed are located; and
acquiring second historical distribution record information of a distributor distributing the goods to be distributed;
determining a first distribution time length of the goods to be distributed according to the first historical distribution record information and the second historical distribution record information, wherein the first distribution time length is a time length required from the time when the distribution station starts to distribute the goods to be distributed until the goods to be distributed arrive;
and determining the current delivery time of the goods to be delivered according to the first delivery duration and the delivery starting time point of the goods to be delivered.
According to another aspect of the present application, there is provided a processing apparatus of logistics distribution information, the apparatus comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring first historical distribution record information of a distribution station where goods to be distributed are located; and
acquiring second historical distribution record information of a distributor distributing the goods to be distributed;
a determining unit, configured to determine a first delivery duration of the goods to be delivered according to the first historical delivery record information and the second historical delivery record information, where the first delivery duration is a duration required between a time when the delivery station starts delivering the goods to be delivered and a time when the goods to be delivered arrive;
the determining unit is further configured to determine the current delivery time of the goods to be delivered according to the first delivery duration and the delivery starting time point of the goods to be delivered.
According to still another aspect of the present application, there is provided a non-transitory readable storage medium having stored thereon a computer program that, when executed by a processor, implements the method of processing logistics distribution information described above.
According to still another aspect of the present application, there is provided a computer device including a nonvolatile readable storage medium, a processor, and a computer program stored on the nonvolatile readable storage medium and executable on the processor, the processor implementing the method for processing logistics distribution information described above when executing the program.
By the technical scheme, compared with the prior art that only the delivery time of goods sent from a delivery station can be calculated, the method, the device and the computer equipment for processing logistics delivery information can determine the delivery time of goods to be delivered according to the first historical delivery record information of the delivery station where the goods to be delivered are located and the second historical delivery record information of the delivery party delivering the goods to be delivered, wherein the delivery time is the time required from the time when the goods to be delivered are delivered from the delivery station to the delivery station, and further can be combined with the delivery starting time point of the goods to be delivered to determine the more accurate delivery time of the goods on the same day, users do not need to call again, send short messages, actively contact with the deliverers to confirm the corresponding delivery time by using instant communication software and the like, and can conveniently know the more accurate delivery time on the door, so as to arrange the self-journey in advance, thereby improving the experience of the user.
The above description is only an outline of the technical solution of the present application, and the present application can be implemented in accordance with the content of the description so as to make the technical means of the present application more clearly understood, and the detailed description of the present application will be given below so that the above and other objects, features, and advantages of the present application can be more clearly understood.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application to the disclosed embodiment. In the drawings:
fig. 1 is a schematic flow chart illustrating a method for processing logistics distribution information according to an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating another method for processing logistics distribution information according to an embodiment of the present application;
fig. 3 is a schematic flow chart illustrating a processing apparatus for logistics distribution information according to an embodiment of the present application;
fig. 4 is a schematic flow chart of another logistics distribution information processing apparatus according to an embodiment of the present application.
Detailed Description
The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
At present, only the delivery time of goods sent from a delivery station can be calculated, however, most of users are concerned about how long the goods can be delivered to the home, and therefore, the users need to make a call again, send a short message, and actively contact with a deliverer by using instant messaging software and the like to confirm the corresponding delivery time, which causes certain inconvenience, in order to solve the technical problem, the embodiment provides a method for processing logistics delivery information, as shown in fig. 1, the method includes:
101. the method comprises the steps of obtaining first historical distribution record information of a distribution station where goods to be distributed are located, and obtaining second historical distribution record information of a distribution party distributing the goods to be distributed.
The first historical distribution record information can include the daily distribution record condition of the distribution station, and specifically includes how many orders are received and how many orders are distributed each day, wherein the large order and the small order; how many people are responsible for delivery per day of the dispenser, how many delivery devices are responsible for delivery, the total time of use for delivering these items a day, the length of time each item is delivered, etc. The delivery party may be a delivery person, a delivery device (such as a delivery vehicle, a delivery drone, etc.), and the like. The second historical delivery record information may include how many orders the deliverer/delivery device delivers per day, wherein large orders, small orders, total time spent delivering the items per day, time duration of each item delivery, etc.
The execution subject of this embodiment may be a processing device or an apparatus for logistics distribution information, which is used to estimate a distribution time of the logistics on a more precise day, and may be configured on the server side or the client side, which may be determined according to actual business requirements.
102. And determining the first delivery duration of the goods to be delivered according to the acquired first historical delivery record information and the acquired second historical delivery record information.
The first distribution time length is the time length required from the time when the distribution station starts to distribute the goods to be distributed until the delivery is reached.
In the embodiment, the first historical distribution record information of the distribution station where the goods to be distributed are located and the second historical distribution record information of the distribution party distributing the goods to be distributed are combined, the distribution time length from the distribution starting to the delivery of the goods to be distributed according to the historical distribution habit is obtained through analysis, the distribution time length from the distribution station to the delivery side of the goods to be distributed can be estimated more accurately, other arrangements can be planned according to the distribution time length by the user, unnecessary waiting time is shortened, and user experience can be improved.
103. And determining the current delivery time of the goods to be delivered according to the determined first delivery time and the delivery starting time point of the goods to be delivered.
In this embodiment, the starting delivery time point of the goods to be delivered may be added to the determined delivery time length to obtain the delivery time point of the goods on the delivery door of the day, that is, the delivery time of the goods on the day.
For example, according to the historical delivery habit, the delivery time from the delivery station to the delivery station is 5 hours, and the item A is delivered from 9 am, so that the item A can be delivered to the user at two afternoon times of the day, and the user can plan the schedule of the day in advance according to the time point, thereby avoiding excessive and unwarranted waiting time.
Compared with the prior art that the delivery time of the goods from the delivery station can only be calculated, the logistics distribution information processing method in the embodiment is based on the big data analysis technology, the delivery time of the goods on the day which is more accurate can be determined according to the historical delivery habit of the delivery station where the goods to be delivered are located and the historical delivery habit of the delivery party delivering the goods, the user does not need to make a call, send a short message and actively contact with the deliverer by using instant messaging software and the like to determine the corresponding delivery time, the user can conveniently know the more accurate delivery time of the goods on the door, the self-travel can be arranged in advance, and the user experience can be improved.
Further, as a refinement and an extension of the specific implementation of the foregoing embodiment, in order to fully illustrate the implementation process in this embodiment, another method for processing logistics distribution information is provided, as shown in fig. 2, and the method includes:
201. the method comprises the steps of obtaining first historical distribution record information of a distribution station where the goods to be distributed are located, and obtaining second historical distribution record information of a distributor distributing the goods to be distributed.
The delivery station receives the goods to be delivered and then is responsible for delivering the goods, and a delivery party (such as a delivery person or a delivery device) in the delivery station can be assigned to deliver the goods. In this embodiment, each distribution station records the corresponding historical distribution record information and the historical distribution record information of each distribution party, and specifically, the distribution station and each distribution party may be respectively configured with their corresponding clients, and then the clients are utilized in combination with the logistics information of the network to record the historical distribution records of the distribution stations and the historical distribution records of each distribution party.
202. And acquiring a first average goods distribution time length of the distribution station and a second average goods distribution time length corresponding to the goods type of the goods to be distributed from the first historical distribution record information.
When the average goods distribution time length is obtained, the goods distribution time length corresponding to the specific time period can be taken according to the actual estimation requirement, and then the average value is taken. For example, if it is desired to estimate the delivery duration of an item for the day, which is tuesday and which includes days adjacent to but not shopping campaign promotional days, then the delivery durations of the item at the delivery station on historical days adjacent to but not shopping campaign promotional days may be averaged to obtain an average delivery duration for the delivery station.
In addition, when the average goods delivery duration is counted, the calculation can be performed for the goods types, and the average goods delivery duration corresponding to each goods type is obtained through calculation, and the goods types can include: large household appliances (such as refrigerators, washing machines, air conditioners and the like), small household appliances (such as electric cookers, electric kettles, humidifiers and the like), clothes, foods, furniture, articles and the like. For example, generally, for goods of large household appliances, since the size of the goods is large, it takes much time to carry and transport the goods each time the goods are distributed, and thus the goods are distributed for a long time; for the clothes goods, the delivery time is relatively short because the goods are relatively easy to carry and most of the goods are not afraid of bumping.
203. And acquiring a third average goods distribution time length of the distribution party from the second historical distribution record information.
For example, if the distributor is a distributor, the distribution time of the goods at each time of the distributor can be summed up and then divided by the distribution times of the goods to obtain the average goods distribution time of the distributor.
204. And acquiring the information of other goods carried by the delivery party except the goods to be delivered.
The other item information includes, among other things, the item type, the item size, the item delivery location, etc. of these other items.
In a specific application scenario, in order to improve the goods delivery efficiency and reduce the delivery cost, a delivery party often carries a plurality of goods to be delivered during one-time goods delivery, and the goods are delivered successively. Therefore, when calculating the delivery time length of the target goods, the time length consumed by other rows before the target goods is delivered needs to be judged, and the delivery time length of the target goods can be accurately calculated.
205. And calculating the first delivery time length of the goods to be delivered according to the acquired first average goods delivery time length, the acquired second average goods delivery time length, the acquired third average goods delivery time length and the acquired other goods information.
In this embodiment, the distribution time length for singly distributing the target goods can be accurately estimated and calculated by combining three factors, namely the average goods distribution time length of the distribution station, the average goods distribution time length of the goods of the same type as the target goods to be distributed, and the average goods distribution time length of the actual distribution side, and then the distribution time length from the distribution station to the delivery of the target goods can be calculated by combining the distribution time length of other goods distributed before the target goods and the information of the distribution place and the like.
To illustrate the specific implementation of step 205, as an alternative, the step may specifically include: using predetermined formulaeCalculating a first delivery duration of the goods to be delivered, wherein T is the first delivery duration of the goods to be deliveredThe delivery duration, T1 is a first average goods delivery duration, T2 is a second average goods delivery duration, T3 is a third average goods delivery duration, n is the number of goods to be delivered carried by the delivery party this time, T4iFor the second delivery time length of other goods to be delivered before the goods to be delivered at this time, k1, k2, k3 and k4 are weight coefficient values of each parameter, the weight coefficient values can be preset according to actual conditions, a larger weight coefficient value can be configured for a factor which actually affects the delivery time length of the target goods more, a smaller weight coefficient value can be configured for a factor which actually affects the delivery time length of the target goods less, and the weights can also meet some specific rules to correct the calculation result, so that the abnormal calculation result is avoided, for example, the sum of k1+ k2+ k3 is less than or equal to 1 or 1.5, and the like.
Here, T1 corresponds to the average goods delivery duration of the delivery station where the target goods are located, and the size of T1 is influenced by the geographic location of the delivery station, the range responsible for delivery, the surrounding traffic environment, the average number of goods to be delivered per day, the number of distributors/delivery devices owned, and the like, and the average goods delivery duration of different delivery stations may vary.
T2 is the average article delivery time period of the article corresponding to the type of the target article to be delivered, which is relatively large in terms of transportation requirements if the size of the article is larger, the weight is heavier, and it is a fragile article.
The T3 corresponds to the average goods delivery time period of the distributor/distribution equipment, etc., and the size of the T3 is related to the number of goods delivered by the distributor/distribution equipment each time, the number of places to be delivered, etc., and generally, the more the number of goods and the more the places to be delivered, the longer the goods delivery time period.
T4 is the sum of the delivery time lengths of the respective goods arranged in the delivery order before the current target goods according to the goods carried by the delivery side at one time, which are stacked layer by layer in a similar processing manner as described above. The delivery order may be determined according to the distance of the deliverer from each delivery location, such as the higher delivery priority, the lower delivery priority, etc., and may be determined by combining the reservation records of the user to adjust the delivery order of each item, so as to determine the final delivery order. For example, it is determined that the target item is the third delivery, the delivery duration of the target item is k1 × T1+ k2 × T2+ k3 × T3, plus the sum of the delivery durations of the first two items.
Through the calculation mode of the optional mode, various factors influencing the goods distribution time length are considered, and the distribution time length from the distribution station to the user hand of the goods to be distributed can be calculated more accurately.
206. And determining the current delivery time of the goods to be delivered according to the first delivery time of the goods to be delivered and the delivery starting time point of the goods to be delivered.
For example, the time point of starting the delivery is added to the delivery time length, and the obtained time point is used as the delivery time of the day on which the target goods are to be delivered. Compared with the prior art that the user can only be informed of the distribution in the day, the method can more accurately obtain the specific time of the day. The user experience is improved, so that the user can master the time and avoid excessive waiting time.
In an actual application scene, the time length of goods delivery is also related to factors such as real-time weather conditions, logistics road condition information and the like, for example, the time length of logistics delivery is prolonged due to the influence of weather on a logistics delivery vehicle in snow days; and the logistics distribution time length can be prolonged if the road conditions are congested. Therefore, as a preferred mode, before step 206, the method may further include: acquiring real-time weather information and real-time logistics traffic information of the current day for distributing the goods to be distributed; then, according to the obtained real-time weather information and real-time logistics traffic information, correcting the first delivery duration of the goods to be delivered; correspondingly, step 206 may specifically include: and determining the delivery time of the goods to be delivered according to the corrected first delivery duration and the delivery starting time point of the goods to be delivered.
For the optional mode, the influence of factors such as real-time weather and logistics road conditions on the delivery time of the target goods is considered, and the delivery time of the target goods obtained after correction according to the two factors is more accurate. It should be noted that, in addition to the manner of considering the influence of the two factors at the same time, the first delivery duration of the goods to be delivered can be corrected according to the actual demand, that is, according to the acquired real-time weather information or real-time logistics traffic information, for example, in the logistics delivery process of the delivery unmanned aerial vehicle, the influence of the real-time road condition factor on the distribution duration can be ignored, and the like.
Further, to describe the specific implementation process for correcting the first delivery duration of the goods to be delivered, as an optional manner, the process may specifically include: acquiring a real-time weather type from the acquired real-time weather information; acquiring the congestion degree grade of the real-time logistics traffic from the acquired real-time logistics traffic information; and then multiplying the first distribution time length of goods to be distributed by a first preset multiple coefficient corresponding to the real-time weather type and then multiplying by a second preset multiple coefficient corresponding to the congestion degree grade to obtain the corrected first distribution time length, wherein different weather types have the first preset multiple coefficients respectively corresponding to the different weather types, and different congestion degree grades have the second preset multiple coefficients respectively corresponding to the different congestion degree grades.
For example, the respective corresponding multiple coefficients may be configured in advance for various weather types, such as 1 in sunny days, 1.2 in rainy days, 1.4 in mid-rain/fog/haze, 1.6 in heavy rain, 1.5 in small snow, 2 in heavy snow, 0 in snowstorm/typhoon, and the like; similarly, the multiple coefficients corresponding to the various logistics traffic road conditions are configured in advance, and for example, the corresponding multiple coefficients can be divided into 1.1, 1.2, 1.3 and the like according to the traffic jam degree in the distribution time period in the area range where the target distribution station is responsible for distribution. And then multiplying the distribution time length obtained by the calculation by a corresponding multiple coefficient according to the actual weather condition and the logistics traffic condition, for example, the weather is rainy, and the traffic congestion degree corresponds to a multiple coefficient of 1.2, then multiplying the distribution time length of the target goods to be distributed, which is obtained by the calculation in the step, by 1.2, and then multiplying by 1.2, so as to obtain the modified distribution time length.
Further, in order to calculate the time from the time of collecting the target goods from the goods until the time of delivering the target goods to the corresponding complete delivery, as an optional mode, based on the above scheme, the method of this embodiment may further include: calculating the number of days for goods transportation from collecting the goods to be delivered to the delivery station to delivery according to the logistics information of the goods to be delivered; calculating the number of the goods to be distributed in the distribution station according to the number of the goods to be distributed, the number of the existing distribution parties and the average maximum goods quantity which can be distributed by each distribution party in each day; and determining the time from the collection of the goods to the delivery of the goods to the corresponding complete delivery according to the calculated transport days and the residence days of the goods and the calculated delivery time of the goods to be delivered on the same day in the process.
For the calculation mode of the goods transportation days, the average transportation time of different transportation modes of each type of goods of different logistics companies can be calculated through historical transportation records, and the transportation time is the transportation time of the goods from the time of collecting the goods to the time of delivering the goods to the local target delivery station of the user. And then finding out corresponding transport days according to the logistics company, the goods type and the transport mode corresponding to the target goods. The number of days of transportation may be further corrected in accordance with the traffic condition of the transportation route, whether the period corresponds to a distribution period during the sales promotion of the shopping event, and the like. Such as the corresponding delivery period during the promotion of the shopping campaign, the number of shipping days is multiplied by a corresponding lengthening factor (e.g., 1.5, etc.) to obtain a corrected number of shipping days for the item.
After the goods transportation days and the detention days and the goods delivery time of the goods to be delivered on the same day calculated in the process are obtained through calculation, the three times are added to obtain the corresponding complete delivery time of the goods from the time of collecting the goods (the time of delivering the goods by a merchant) to the time of delivering the goods. By the mode, not only can the delivery of goods be estimated on which day, but also the delivery time of the goods is further accurate to the specific delivery time on the day, and a user can be helped to know the more accurate delivery time of the goods. It should be noted that, when the complete delivery time is estimated in advance, there may be an unknown about which delivery party actually delivered the goods last, and for this purpose, one delivery party may be selected from the existing delivery parties of the delivery station to perform the above calculation process. The rule for selecting the distribution party can be determined according to actual conditions, for example, the distribution party with the largest attendance rate can be selected, the distribution party who goes out on the same day of distribution can be selected according to the scheduling rule of the distribution party, and the like.
To illustrate the above procedure for calculating the number of days of stay, as an alternative, the procedure may specifically include: calculating the product of the number of the existing distribution parties of the distribution station and the average maximum goods amount which can be distributed by each distribution party every day; and then dividing the number of the goods to be delivered by the delivery station from the time of receiving the goods to be delivered by the product to obtain the number of the staying days of the goods to be delivered at the delivery station.
In a specific implementation process, the default delivery stations deliver the data from morning to evening according to the receiving time. The number of items to be delivered from the delivery station from the time of receiving the items to be delivered/(the number of existing deliverers:themaximum amount of items that can be delivered per average day per deliverer) may be set as the number of days of retention. By the method, the actual condition of logistics distribution is considered, and the residence time of the target goods can be calculated more accurately.
The logistics distribution information processing method can estimate and obtain more accurate delivery time of goods to be distributed on the day based on a big data analysis technology, and can finally calculate and obtain corresponding complete delivery time from the time of collecting the goods to the time of delivering the target goods based on the calculation result.
Further, as a specific implementation of the method shown in fig. 1 to fig. 2, the embodiment provides a device for processing logistics distribution information, as shown in fig. 3, the device includes: an acquisition unit 31 and a determination unit 32.
The acquiring unit 31 may be configured to acquire first historical distribution record information of a distribution station where the to-be-distributed goods are located; acquiring second historical distribution record information of a distributor distributing the goods to be distributed;
the determining unit 32 is configured to determine a first delivery duration of the to-be-delivered goods according to the first historical delivery record information and the second historical delivery record information, where the first delivery duration is a duration required from the time when the delivery station starts delivering the to-be-delivered goods to the delivery station until the delivery station arrives;
the determining unit 32 may be further configured to determine the present day delivery time of the goods to be delivered according to the first delivery duration and the starting delivery time point of the goods to be delivered.
In a specific application scenario, the determining unit 32 is specifically configured to obtain a first average goods delivery duration of the delivery station and a second average goods delivery duration corresponding to the goods type of the goods to be delivered from the first historical delivery record information; acquiring a third average goods distribution duration of a distribution party from the second historical distribution record information; acquiring other goods information carried by a delivery party except goods to be delivered; and calculating the first delivery time length of the goods to be delivered according to the first average goods delivery time length, the second average goods delivery time length, the third average goods delivery time length and other goods information.
In a specific application scenario, the determining unit 32 may be further configured to utilize a preset formulaCalculating first distribution time length of goods to be distributed, wherein T is the first distribution time length of the goods to be distributed, T1 is the first average goods distribution time length, T2 is the second average goods distribution time length, T3 is the third average goods distribution time length, n is the number of the goods to be distributed carried by a distribution party at this time, and T4iFor the second delivery duration of other items to be delivered before the items to be delivered this time, k1, k2, k3, k4 are weight coefficient values of the respective parameters.
In a specific application scenario, as shown in fig. 4, the apparatus may further include: a correction unit 33;
the acquiring unit 31 may also be configured to acquire real-time weather information and real-time logistics traffic information of the current day of delivering the goods to be delivered;
the correcting unit 33 is configured to correct the first distribution time according to the real-time weather information and the real-time logistics traffic information;
the determining unit 32 is specifically configured to determine the delivery time of the goods to be delivered according to the corrected first delivery duration and the delivery start time point of the goods to be delivered.
In a specific application scenario, the modification unit 33 is specifically configured to obtain a real-time weather type from the real-time weather information; acquiring the congestion degree grade of the real-time logistics traffic from the real-time logistics traffic information; and multiplying the first distribution time length by a first preset multiple coefficient corresponding to the real-time weather type, and then multiplying by a second preset multiple coefficient corresponding to the congestion degree grade to obtain the corrected first distribution time length, wherein different weather types have the first preset multiple coefficients corresponding to each other, and different congestion degree grades have the second preset multiple coefficients corresponding to each other.
In a specific application scenario, as shown in fig. 4, the apparatus may further include: a calculation unit 34;
the calculating unit 34 is used for calculating the number of days of goods transportation from the collection of the goods to be delivered to the delivery station according to the logistics information of the goods to be delivered; calculating the number of the goods to be distributed in the distribution station according to the number of the goods to be distributed, the number of the existing distribution parties and the average maximum goods quantity which can be distributed by each distribution party in each day;
the determining unit 32 may further be configured to determine a complete delivery time from the time of collecting the goods to be delivered to the delivery destination to the time of delivering the goods to the delivery destination according to the number of transportation days, the number of staying days, and the delivery time of the day.
In a specific application scenario, the calculating unit 34 is specifically configured to calculate a product between the number of the existing distribution parties and the maximum goods amount; the product is divided by the number of items to obtain the number of days of residence of the items to be delivered at the delivery station.
It should be noted that other corresponding descriptions of the functional units related to the processing apparatus for logistics distribution information provided in this embodiment may refer to the corresponding descriptions in fig. 1 to fig. 2, and are not described herein again.
Based on the methods shown in fig. 1 and fig. 2, correspondingly, the embodiment of the present application further provides a storage medium, on which a computer program is stored, and the program, when executed by a processor, implements the method for processing logistics distribution information shown in fig. 1 and fig. 2.
Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method of the embodiments of the present application.
Based on the method shown in fig. 1 and fig. 2 and the virtual device embodiment shown in fig. 3 and fig. 4, in order to achieve the above object, an embodiment of the present application further provides a computer device, which may specifically be a personal computer, a server, a smart phone, a tablet computer, a smart watch, or other network devices, where the physical device includes a storage medium and a processor; a storage medium for storing a computer program; a processor for executing a computer program to implement the above-described method for processing logistics distribution information as shown in fig. 1 and 2.
Optionally, the computer device may further include a user interface, a network interface, a camera, Radio Frequency (RF) circuitry, a sensor, audio circuitry, a WI-FI module, and so forth. The user interface may include a Display screen (Display), an input unit such as a keypad (Keyboard), etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (e.g., a bluetooth interface, WI-FI interface), etc.
It will be understood by those skilled in the art that the computer device structure provided in the present embodiment is not limited to the physical device, and may include more or less components, or combine some components, or arrange different components.
The storage medium may further include an operating system and a network communication module. The operating system is a program that manages hardware and software resources of the physical device that handles the logistics distribution information processing, and supports the operation of the information processing program as well as other software and/or programs. The network communication module is used for realizing communication among components in the storage medium and other hardware and software in the entity device.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by software plus a necessary general hardware platform, and can also be implemented by hardware. By applying the technical scheme of the application, based on a big data analysis technology, the more accurate delivery time of the goods to be delivered on the same day can be estimated and obtained, and the corresponding complete delivery time from the time of taking the goods for collection to the time of delivery of the target goods can be finally calculated and obtained based on the calculation result, so that the delivery time of the goods can be estimated and estimated on the same day, the delivery time of the goods can be further accurate to the specific time of the same day, the user can be helped to know the more accurate delivery time of the goods, the self-route can be arranged in advance, and the user experience can be promoted.
Those skilled in the art will appreciate that the figures are merely schematic representations of one preferred implementation scenario and that the blocks or flow diagrams in the figures are not necessarily required to practice the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above application serial numbers are for description purposes only and do not represent the superiority or inferiority of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.
Claims (10)
1. A method for processing logistics distribution information is characterized by comprising the following steps:
acquiring first historical distribution record information of a distribution station where goods to be distributed are located; and
acquiring second historical distribution record information of a distributor distributing the goods to be distributed;
determining a first distribution time length of the goods to be distributed according to the first historical distribution record information and the second historical distribution record information, wherein the first distribution time length is a time length required from the time when the distribution station starts to distribute the goods to be distributed until the goods to be distributed arrive;
and determining the current delivery time of the goods to be delivered according to the first delivery duration and the delivery starting time point of the goods to be delivered.
2. The method according to claim 1, wherein the determining a first delivery duration of the goods to be delivered according to the first historical delivery record information and the second historical delivery record information specifically comprises:
acquiring a first average goods distribution time length of the distribution station and a second average goods distribution time length corresponding to the goods type of the goods to be distributed from the first historical distribution record information;
acquiring a third average goods distribution duration of the distribution party from the second historical distribution record information;
acquiring other goods information carried by the delivery party except the goods to be delivered;
and calculating the first distribution time length of the goods to be distributed according to the first average goods distribution time length, the second average goods distribution time length, the third average goods distribution time length and the other goods information.
3. The method according to claim 2, wherein the calculating the first delivery duration of the goods to be delivered according to the first average goods delivery duration, the second average goods delivery duration, the third average goods delivery duration, and the other goods information specifically includes:
using predetermined formulaeCalculating the first distribution time length of the goods to be distributed, wherein T is the first distribution time length of the goods to be distributed, T1 is the first average goods distribution time length, T2 is the second average goods distribution time length, T3 is the third average goods distribution time length, n is the number of the goods to be distributed carried by the distribution party at this time, T4iFor the second delivery duration of the other items to be delivered before the item to be delivered this time, k1, k2, k3, k4 are weight coefficient values of the respective parameters.
4. The method as claimed in claim 1, wherein before the determining of the delivery time of the goods to be delivered according to the first delivery duration and the starting delivery time point of the goods to be delivered, the method further comprises:
acquiring real-time weather information and real-time logistics traffic information of the day of distributing the goods to be distributed;
correcting the first distribution time length according to the real-time weather information and the real-time logistics traffic information;
determining the delivery time of the goods to be delivered according to the first delivery duration and the delivery starting time point of the goods to be delivered, specifically comprising:
and determining the delivery time of the goods to be delivered according to the corrected first delivery duration and the delivery starting time point of the goods to be delivered.
5. The method according to claim 4, wherein the modifying the first delivery duration according to the real-time weather information and the real-time logistics traffic information specifically comprises:
acquiring a real-time weather type from the real-time weather information;
acquiring the congestion degree grade of the real-time logistics traffic from the real-time logistics traffic information;
and multiplying the first distribution time length by a first preset multiple coefficient corresponding to the real-time weather type, and then multiplying by a second preset multiple coefficient corresponding to the congestion degree grade to obtain the corrected first distribution time length, wherein different weather types have the first preset multiple coefficients respectively corresponding to the different weather types, and different congestion degree grades have the second preset multiple coefficients respectively corresponding to the different congestion degree grades.
6. The method of claim 1, further comprising:
calculating the number of days of goods transportation from the acquisition of the goods to be delivered to the delivery station according to the logistics information of the goods to be delivered;
calculating the number of the detention days of the goods to be distributed at the distribution station according to the number of the goods to be distributed, the number of the existing distribution parties and the average maximum goods quantity which can be distributed per day of each distribution party after the goods to be distributed are received at the distribution station;
and determining the corresponding complete delivery time from the time of collecting the goods to be delivered to the time of delivering the goods to the date according to the goods transportation days, the detention days and the delivery time of the day.
7. The method of claim 6, wherein the calculating the number of days of retention of the item to be delivered at the delivery station according to the number of items to be delivered, the number of existing delivery parties and the maximum amount of the item that can be delivered per day by each delivery party from the time the item to be delivered is received at the delivery station comprises:
calculating the product between the number of the existing distribution parties and the maximum goods quantity;
and dividing the product by the number of the goods to be delivered to obtain the number of the detention days of the goods to be delivered at the delivery station.
8. A device for processing logistics distribution information, comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring first historical distribution record information of a distribution station where goods to be distributed are located; and
acquiring second historical distribution record information of a distributor distributing the goods to be distributed;
a determining unit, configured to determine a first delivery duration of the goods to be delivered according to the first historical delivery record information and the second historical delivery record information, where the first delivery duration is a duration required between a time when the delivery station starts delivering the goods to be delivered and a time when the goods to be delivered arrive;
the determining unit is further configured to determine the current delivery time of the goods to be delivered according to the first delivery duration and the delivery starting time point of the goods to be delivered.
9. A non-transitory readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the method for processing logistics distribution information according to any one of claims 1 to 7.
10. A computer device comprising a nonvolatile readable storage medium, a processor, and a computer program stored on the nonvolatile readable storage medium and executable on the processor, wherein the processor implements the method for processing logistics distribution information according to any one of claims 1 to 7 when executing the program.
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