CN114549089A - Method and device for searching unmanned vehicle patrol sale hot sale service site - Google Patents
Method and device for searching unmanned vehicle patrol sale hot sale service site Download PDFInfo
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- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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Abstract
The disclosure relates to the technical field of unmanned selling, and provides a method and a device for searching unmanned vehicle patrol selling hot-selling service sites. The method comprises the following steps: dividing patrol sale service time of the unmanned vehicle for patrol sale of the vehicle-mounted goods in the designated area into a plurality of patrol sale time periods according to a preset time interval; acquiring patrol data of patrolling and selling vehicle-mounted goods by the unmanned vehicle in each patrol and selling time period, wherein the patrol and selling data comprise an initial patrol and selling path, the initial patrol and selling path comprises a plurality of patrol and selling service sites, and people flow density data and retail order data corresponding to each patrol and selling service site; determining a sales heat value of each patrol service site according to the people flow density data and the retail order data; and according to the sales heat value, finding out a plurality of hot sales service sites in each patrol and sale period. This openly can accurate locking patrol the hot website of selling in the route, be favorable to improving the sale transaction rate of commodity, and can serve more demand users better, improve the quality of service that sells of unmanned car.
Description
Technical Field
The disclosure relates to the technical field of unmanned selling, in particular to a method and a device for searching an unmanned vehicle patrol selling hot-selling service site.
Background
With the rapid development of artificial intelligence and internet technology, unmanned selling cabinets, unmanned supermarkets, unmanned vehicles and the like are rapidly popular in retail industries like bamboo shoots in spring after rain, and the commodity purchasing channels and shopping experience of people are greatly enriched.
In recent years, unmanned vehicles have been increasingly popular with businesses and users because of their convenience in mobile sales and the like. However, at present, a selling mode based on an unmanned vehicle is basically to preset an unmanned vehicle cruising route through manual research, and the unmanned vehicle goes to sell goods loaded on the vehicle along the set cruising route, but the selling mode cannot accurately lock a hot sale station in the cruising route, so that the selling rate of the goods is low.
Disclosure of Invention
In view of this, the embodiment of the present disclosure provides a method and an apparatus for searching a hot-selling service site for unmanned vehicle patrol, so as to solve the problem that the selling success rate of goods is low because the hot-selling site in the cruising route cannot be accurately locked in the existing unmanned vehicle-based selling mode.
In a first aspect of the embodiments of the present disclosure, a method for searching a hot-selling service site of an unmanned vehicle is provided, including:
dividing the patrol sale service time of the unmanned vehicle for patrol sale of the vehicle-mounted goods in the designated area into a plurality of patrol sale time periods according to a preset time interval;
acquiring patrol data of patrolling and selling vehicle-mounted goods by the unmanned vehicle in each patrol time period, wherein the patrol data comprises an initial patrol path, the initial patrol path comprises a plurality of patrol service sites, and people flow density data and retail order data corresponding to each patrol service site, and the retail order data at least comprises order quantity, order generation time and order transaction position information;
determining the sales heat value of each patrol service site according to the people flow density data and the retail order data;
and according to the sales heat value, finding out a plurality of hot sales service sites in each patrol period.
In a second aspect of the embodiments of the present disclosure, there is provided an apparatus for searching a hot-selling service site of an unmanned vehicle, including:
the time interval dividing module is configured to divide the patrol and sale service time of the unmanned vehicle for patrol and sale of the vehicle-mounted goods in the specified area into a plurality of patrol and sale time intervals according to a preset time interval;
The data acquisition module is configured to acquire patrol data of the unmanned vehicle for patrolling and selling the vehicle-mounted commodity in each patrol and sell time period, the patrol and sell data comprise an initial patrol and sell path, the initial patrol and sell path comprises a plurality of patrol and sell service sites, people flow density data corresponding to each patrol and sell service site and retail order data, and the retail order data at least comprise order quantity, order generation time and order transaction position information;
the hot degree determining module is configured to determine a sales hot degree value of each patrol service site according to the people flow density data and the retail order data;
and the site searching module is configured to search a plurality of hot sales service sites in each patrol period according to the sales heat value.
In a third aspect of the disclosed embodiments, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, in which a computer program is stored, which when executed by a processor implements the steps of the above-mentioned method.
Compared with the prior art, the beneficial effects of the embodiment of the disclosure at least comprise: according to the method and the device, the patrol sale service time of the unmanned vehicle for patrol sale of the vehicle-mounted goods in the designated area is divided into a plurality of patrol sale periods according to the preset time interval; acquiring patrol data of the unmanned vehicle for patrolling and selling the vehicle-mounted goods in each patrol and sell time period, wherein the patrol and sell data comprise an initial patrol and sell path, the initial patrol and sell path comprises a plurality of patrol and sell service sites, and people flow density data and retail order data which correspond to each patrol and sell service site, and the retail order data at least comprise order quantity, order generation time and order transaction position information; determining the sales heat value of each patrol service site according to the people flow density data and the retail order data; according to the sales heat value, a plurality of hot selling service stations in each patrol and sell time interval are found out, the hot selling stations in the patrol and sell route can be accurately locked, the sales transaction rate of commodities is favorably improved, more demand users can be better served, and the quality of the unmanned vehicle selling service is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive efforts.
FIG. 1 is a scenario diagram of an application scenario in accordance with an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart diagram illustrating a method for searching a hot sales service site of an unmanned vehicle according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an apparatus for searching for an unmanned vehicle patrol hot-selling service site according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
A method and an apparatus for locating an unmanned vehicle patrol hot-selling service site according to an embodiment of the present disclosure will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a scene schematic diagram of an application scenario according to an embodiment of the present disclosure. The application scenario may include an unmanned vehicle 101, a remote server 102, and a network 103.
The unmanned vehicle 101 may be a mobile vehicle integrated with a vehicle-mounted camera (e.g., a monocular camera), a communication device, a positioning device (e.g., a GPS (global positioning system), a combined navigation system, etc.), a data processing device (e.g., a control chip such as a single chip microcomputer, etc.), and the like. An unmanned vehicle is typically configured to patrol merchandise sales for an area (e.g., XX park, XX cell, XX community, etc.).
The remote server 102 may be a server providing various services, for example, a backend server receiving data transmitted by the unmanned vehicle with which a communication connection is established, and the backend server may receive, analyze, and the like the data transmitted by the unmanned vehicle and generate a processing result. The server may be one server, or a server cluster composed of a plurality of servers, or may also be one cloud computing service center, which is not limited in this disclosure.
The server may be hardware or software. When the server is hardware, it may be various electronic devices that provide various services to the unmanned vehicle. When the server is software, it may be a plurality of software or software modules for providing various services for the unmanned vehicle 101, or may be a single software or software module for providing various services for the unmanned vehicle 101, which is not limited by the embodiment of the present disclosure.
The network 103 may be a wired network connected by a coaxial cable, a twisted pair and an optical fiber, or may be a wireless network that can interconnect various Communication devices without wiring, for example, Bluetooth (Bluetooth), Near Field Communication (NFC), Infrared (Infrared), and the like, which is not limited in the embodiment of the present disclosure.
In one embodiment, the method for searching for the unmanned vehicle patrol hot-selling service site of the present disclosure may be performed by a data processing device installed on the unmanned vehicle 101. Specifically, the data processing device can divide the patrol service time of the unmanned vehicle 101 for patrol sale of the vehicle-mounted goods in the specified area into a plurality of patrol sale time periods according to a preset time interval; acquiring patrol data of patrolling and selling vehicle-mounted goods by the unmanned vehicle in each patrol time period, wherein the patrol data comprises an initial patrol path, the initial patrol path comprises a plurality of patrol service sites, and people flow density data and retail order data corresponding to each patrol service site, and the retail order data at least comprises order quantity, order generation time and order transaction position information; determining a sales heat value of each patrol service site according to the people flow density data and the retail order data; according to the sales heat value, a plurality of hot selling service sites in each patrol and sell time interval are found out, so that the hot selling sites in the patrol and sell route can be accurately locked, the sales success rate of commodities is improved, more intelligent and high-quality unmanned selling service can be provided for more users with requirements, and the quality of the unmanned vehicle selling service is improved.
In another embodiment, the disclosed method of finding an unmanned vehicle for patrolling a hot sales service site can also be performed by the remote server 102. Specifically, the remote server 102 may divide the patrol service time for the unmanned vehicle 101 to patrol and sell the vehicle-mounted goods in the designated area into a plurality of patrol and sale periods according to a preset time interval; acquiring patrol data of the unmanned vehicle for patrolling and selling the vehicle-mounted goods in each patrol and sell time period, wherein the patrol and sell data comprise an initial patrol and sell path, the initial patrol and sell path comprises a plurality of patrol and sell service sites, and people flow density data and retail order data which correspond to each patrol and sell service site, and the retail order data at least comprise order quantity, order generation time and order transaction position information; determining the sales heat value of each patrol service site according to the people flow density data and the retail order data; and according to the sales heat value, finding out a plurality of hot sales service sites in each patrol period. And then, the search result is fed back to the unmanned vehicle 101 in real time, so that the unmanned vehicle 101 can accurately lock hot selling stations in the itinerant selling route and park and drive to each hot selling station, more intelligent and high-quality unmanned selling service is provided for more users with requirements, the quality of the unmanned vehicle selling service is improved, and the selling success rate of commodities is improved.
It should be noted that the specific types, numbers and combinations of the unmanned vehicles 101, the remote servers 102 and the network 103 may be adjusted according to the actual requirements of the application scenario, and the embodiment of the disclosure does not limit this.
Fig. 2 is a schematic flowchart of a method for searching for an unmanned vehicle patrol hot-selling service site according to an embodiment of the present disclosure. The method of fig. 2 of finding an unmanned vehicle for patrolling a hot sales service site may be performed by unmanned vehicle 101 of fig. 1. As shown in fig. 2, the method for searching the unmanned vehicle for the hot sales service site includes:
step S201, according to a preset time interval, dividing the patrol sale service time of the unmanned vehicle for patrol sale of the vehicle-mounted goods in the specified area into a plurality of patrol sale time periods.
The preset time interval can be flexibly set according to actual requirements, for example, 30 minutes, 60 minutes, and the like, and is not particularly limited herein.
The designated area generally refers to an area where unmanned vehicles are responsible for patrol and sale of commodities, such as an XX park, an XX community and the like.
The vehicle-mounted goods refer to various goods loaded in the unmanned vehicle 101, including, but not limited to, fast food, snack, fruit, toys, stationery, and the like.
The patrol service time generally refers to patrol sale time of commodities of unmanned vehicles. For example, 8 to 22 points per day can be used, and then 8 to 22 points per day is the patrol service time of the unmanned vehicle. For another example, the patrol service time of the unmanned vehicle may be a plurality of discontinuous time periods in one day, for example, three discontinuous time periods including 8 to 12 points, 13 to 15 points, and 17 to 22 points. Specifically, the patrol service time may be flexibly set according to actual conditions, for example, may be specifically determined according to the appointed time between the unmanned vehicle and the contracted merchant, or according to the commodity selling task, etc.
As an example, suppose that the unmanned vehicle 01 is assigned to the commodity patrol service in charge of the park nail, the patrol service time is 8 to 22 points, and the preset time interval is 60 minutes (1 hour). The patrol service time can be divided into 14 patrol periods of 8: 00-8: 59, 9: 00-9: 59, 10: 00-10: 59 by taking 60 minutes (1 hour) as a dividing boundary.
Step S202, obtaining patrol data of the unmanned vehicle for patrolling and selling the vehicle-mounted commodity in each patrol time period, wherein the patrol data comprises an initial patrol path, the initial patrol path comprises a plurality of patrol service sites, and people flow density data and retail order data corresponding to each patrol service site, and the retail order data at least comprises order quantity, order generation time and order transaction position information.
As an example, referring to FIG. 1, assume that the initial patrol route of the unmanned vehicle 101 during patrol period 8:00~8:59 includes A, B, C, D, E five patrol service stations, and the connection order of the patrol service stations is A → B → C → D → E. Then the unmanned vehicle 101 performs commodity patrol in the appointed area according to the patrol direction of A → B → C → D → E in the patrol time period 8: 00-8: 59, and can obtain A, B, C, D, E people flow density data and retail order data of five patrol service sites.
The people flow density data refers to the number of people (people flow) around the patrol service station, which are collected by the camera device when the unmanned vehicle 101 stops at each patrol service station.
The order quantity may refer to a quantity of goods loaded on the unmanned vehicle (which may be one user or multiple users) which are placed by a user through a mobile phone applet or a human-computer interactive selling interface on the unmanned vehicle when the unmanned vehicle is stopped at each patrol service station, or a quantity of placed persons (which is generally one user), or a quantity of placed persons which is placed by a user and paid for a successful order.
The order transaction position information can be mobile phone position information acquired by a mobile phone of a user when the user places an order to purchase goods loaded on the unmanned vehicle through a mobile phone applet or a human-computer interaction selling interface on the unmanned vehicle; or position information (such as longitude and latitude coordinates) acquired by a positioning device on the unmanned vehicle. That is, the location coordinates of the unmanned vehicle when creating the retail order for the merchandise.
And step S203, determining the sales heat value of each patrol service site according to the people flow density data and the retail order data.
And the sales heat value is a numerical value used for representing the people flow density and the commodity transaction rate of each patrol service site where the unmanned vehicle stops in each patrol period. Generally, the higher the sales heat value is, the higher the traffic density and commodity transaction rate of the patrol service site are.
And step S204, finding out a plurality of hot sales service sites in each patrol and sale period according to the sales heat value.
In one embodiment, whether each of the patrol service sites is a hot sales service site can be determined by determining whether the sales heat value of each of the patrol service sites is greater than or equal to a predetermined sales heat threshold (threshold).
With reference to the above example, assuming that the sales heat values of the patrol service site A, B, C, D, E are X1, X2, X3, X4, and X5 in the patrol period 8: 00-8: 59, and the preset sales heat threshold is Y, it can be known through comparison that X1, X2, and X3 are all greater than Y, and X4 and X5 are less than Y, the patrol service site A, B, C can be determined as a hot sale service site in the patrol period 8: 00-8: 59.
According to the technical scheme provided by the embodiment of the disclosure, the patrol sale service time of the unmanned vehicle for patrol sale of the vehicle-mounted commodity in the designated area is divided into a plurality of patrol sale time periods according to the preset time interval; acquiring patrol data of patrolling and selling vehicle-mounted goods by the unmanned vehicle in each patrol time period, wherein the patrol data comprises an initial patrol path, the initial patrol path comprises a plurality of patrol service sites, and people flow density data and retail order data corresponding to each patrol service site, and the retail order data at least comprises order quantity, order generation time and order transaction position information; determining a sales heat value of each patrol service site according to the people flow density data and the retail order data; according to the sales heat value, a plurality of hot selling service stations in each patrol and sell time interval are found out, the hot selling stations in the patrol and sell route can be accurately locked, the sales transaction rate of commodities is favorably improved, more demand users can be better served, and the quality of the unmanned vehicle selling service is improved.
In some embodiments, the step S202 includes:
calling a plurality of initial patrol and sale paths corresponding to the designated area, wherein one initial patrol and sale path corresponds to one patrol and sale time period, and each initial patrol and sale path comprises a plurality of patrol and sale service sites;
acquiring people flow density data acquired by a vehicle-mounted camera device or a station camera device when an unmanned vehicle parks and arrives at each patrol service station in each patrol time period;
retail order data created by the unmanned vehicle during the residence of each of the itinerary service sites within each of the itinerary periods is obtained.
In one embodiment, the unmanned vehicle identification information, the designated area, and the patrol period and initial patrol route may be stored in advance in designated storage locations of the unmanned vehicle and/or the remote server in association with each other. For example, the unmanned vehicle identification information (e.g., the unique code of the unmanned vehicle, the chassis number of the unmanned vehicle, etc.), the designated area, and the correspondence table of the patrol period and the initial patrol route, as shown in table 1 below, may be established and stored in the designated storage location of the unmanned vehicle and/or the remote server.
Table 1 correspondence table of unmanned vehicle identification information, designated area, patrol period, and initial patrol route
As an example, assuming that the patrol data of the unmanned vehicle 01 for patrolling the vehicle-mounted product in the specified area "park a" is to be acquired, the initial patrol route of each patrol period corresponding to the unmanned vehicle 01, "park a" can be obtained by extracting the information "park a" or the identification information of the unmanned vehicle 01, and then retrieving based on the above table 1.
In one embodiment, assuming that the unmanned vehicle 01 makes a patrol sale on the park a on the first day, the initial patrol sale route of each patrol sale period may be an initial patrol sale route which is preliminarily determined after investigation on aspects such as the density of people in the park a in the previous period. In each patrol period, the unmanned vehicle 01 can park to each patrol service station according to the patrol service station connection sequence of the initial patrol route called in front, and capture and collect the traffic (i.e. people stream density data) near the patrol service stations through the vehicle-mounted camera (such as a camera mounted on the unmanned vehicle 01) or the station camera (see fig. 1) fixedly mounted on each patrol service station. The vehicle-mounted camera device and the station camera device have the functions of collecting images and analyzing the number of human faces or human heads in the images.
When the unmanned vehicle 01 arrives at each patrol service station, the unmanned vehicle can stay for a certain time and then park to the next patrol service station, so that users nearby the current patrol service station can purchase vehicle-mounted goods on the unmanned vehicle.
Illustratively, after the unmanned vehicle 01 arrives at the patrol service site a, the unmanned vehicle 01 stops at a certain designated position of the patrol service site a, and at this time, a user at the patrol service site a may order to purchase vehicle-mounted goods in the unmanned vehicle 01 through a mobile phone applet or a preset human-computer interaction selling interface on the unmanned vehicle 01. The unmanned vehicle 01 records in real time information (retail order data) on which a user at the patrol service site a places an order to purchase a vehicle-mounted product. Retail order data may be created upon detecting a user placing an order. The collected data can then be further recorded as an array (patrol period, patrol service site, people stream density data, retail order data) for subsequent data retrieval.
Before the unmanned vehicle 01 needs to continuously patrol and sell the vehicle-mounted goods in the park A on the next day, patrol and sale data of each patrol and sale period of the unmanned vehicle 01 on the first day, namely the above-mentioned data groups (patrol and sale period, patrol and sale service site, people flow density data and retail order data) can be called. And then, performing data analysis processing on the acquired array, and performing optimization adjustment on the initial patrol route of the first day according to the analysis processing result to obtain patrol routes of each patrol time period of the second day.
It can be understood that, before the unmanned vehicle 01 needs to continue to patrol and sell the vehicle-mounted goods in the park A on the second day, the patrol and sale data of each patrol and sale period of the unmanned vehicle 01 on the second day can be called in the same manner as described above, and then the patrol and sale data on the second day is analyzed and processed to obtain patrol and sale paths of each patrol and sale period on the third day of the unmanned vehicle 01. Certainly, the patrol sale paths of the unmanned vehicle 01 in each patrol sale period on the third day can be analyzed and predicted by calling patrol sale data of the first day and the second day so as to more accurately lock hot sale service sites, improve commodity transaction rate and provide more intelligent and high-quality unmanned sale services for more users with requirements.
In some embodiments, the step S203 includes:
determining a people flow density grade corresponding to the people flow density data and an order quantity grade corresponding to the order quantity;
and determining the sales heat value of each patrol service site according to the people flow density grade and the order quantity grade.
The correspondence between the density of the stream of people and the level of the density of the stream of people may be set in advance. For example, a correspondence table of the people stream density and the people stream density grade as shown in the following table 2 may be established.
Table 2 correspondence table between stream density and stream density grade
The correspondence between the order quantity and the order quantity level may be set in advance. For example, a corresponding relationship table of order quantity and order quantity grade as shown in the following table 3 may be established.
TABLE 3 corresponding relationship table of order quantity and order quantity grade
As an example, after determining the people flow density and the order quantity when the unmanned vehicle patrols and sells the vehicle-mounted commodity at each patrol and sales service site in each patrol and sales period according to the above steps, the people flow density level corresponding to the people flow density and the order quantity level corresponding to the order quantity may be further determined according to the above tables 2 and 3, respectively. And then, determining the sales heat value of each patrol service site according to the people flow density grade and the order quantity grade.
As an example, a correspondence relationship between the people flow density level, the order quantity level, and the sales heat value may be preset, and then based on the correspondence relationship, the sales heat value of each patrol service site is found according to the people flow density level and the order quantity level.
Table 4 correspondence table of people flow density grade, order quantity grade and sales heat value
Generally, the greater the traffic density and the greater the number of orders, the greater the sales heat value of the patrol service site. The patrol service sites which are dense in crowds and high in sales volume can be accurately locked through the sales heat value, the patrol route and the stop patrol service sites of the unmanned vehicle can be optimized, for example, the patrol service sites of the unmanned vehicle with the high sales heat value can be set to stop for a longer time, so that high-quality and intelligent unmanned sale service can be provided for more users better, the user experience is improved, and the sales success rate can be improved.
In some embodiments, after step S204, the method further includes:
sequencing the sales heat values of a plurality of hot sales service sites in each patrol and sale period to obtain a heat sequencing result;
determining a path connection order among a plurality of hot-selling service stations according to the hot degree sequencing result;
and connecting the plurality of hot selling service stations according to the connection sequence to obtain an updated patrol route, and covering the initial patrol route by using the updated patrol route.
As an example, suppose that the unmanned vehicle 01 corresponds to A, B, C, D, E with five stopped patrol service stations in patrol period 8:00~8:59, and the initial patrol route is A → B → C → D → E. After the above steps, it is determined that the patrol service sites A, B, C are hot sale service sites (the sales hot degree value of which is greater than or equal to a preset hot degree threshold), and the sales hot degree values of which are 65, 75 and 60, respectively, the hot degree ranking results of the three patrol service sites are B > a > C.
Then, according to the result of the ranking of the popularity, the order of the path connection among the hot-selling service sites can be determined as B → A → C. The itinerary service sites A, B, C can then be linked together as B → A → C to get an updated itinerary. Finally, the updated itinerant route B → a → C is used to cover the initial itinerant route a → B → C → D → E. The unmanned vehicle 01 can patrol and sell the vehicle-mounted goods according to the updated patrol and sell route B → a → C in the same patrol and sell time period of the next day.
In some embodiments, connecting the plurality of hot sales service sites according to the connection order to obtain an updated patrol route, and after the initial patrol route is covered by the updated patrol route, further includes:
acquiring the original patrol and sale stay time of each hot-sales service site;
determining a service duration adjustment value corresponding to each hot sales service site according to the hot ranking result;
and updating and adjusting the preset patrol and sale stay time of each hot-sales service site according to the service time adjustment value.
With reference to the above example, it is assumed that the predetermined patrol and sale stay time of each patrol and sale service station of the unmanned vehicle 01 in the patrol and sale period of 8:00 to 8:59 is 5 minutes. The result of the heat ranking of the patrol service sites is that B is more than A and more than C. Then, a certain service duration may be increased from high to low according to the result of the ranking of the heat. Generally, the higher the heat, the longer the added service duration. For example, the service duration adjustment values of the patrol service site B, A, C may be set to 3, 2, and 1 minutes, respectively. Then, the predetermined patrol staying time at the patrol service site B, A, C is increased by 3, 2, and 1 minutes, respectively. The itinerant travel residence times for itinerant service site B, A, C after the update adjustment are 8, 7, and 6 minutes, respectively.
In the embodiment of the disclosure, the patrol and sale stay time of each hot sale service site is adjusted according to the result of the ranking of the popularity, so that the unmanned vehicle can stay for a longer time at the patrol and sale service site with higher popularity, thereby providing more intelligent and high-quality unmanned sale service for more demand users and being beneficial to improving the commodity sale transaction rate.
In other embodiments, connecting a plurality of hot sales service sites according to a connection order to obtain an updated itinerant sale path, and after covering the initial itinerant sale path with the updated itinerant sale path, the method further includes:
determining a centralized ordering time period of each hot sales service site according to the order generation time;
and updating and adjusting the arrival time corresponding to the arrival of the parked unmanned vehicle at each hot-selling service station according to the centralized ordering time period.
In combination with the above example, it is assumed that 30 orders are created when the unmanned vehicle 01 passes through the stop patrol service site a → B → C → D → E in the patrol period 8: 00-8: 59, wherein 8 orders are created at the stop patrol service site a, 12 orders are created at the stop patrol service site B, 6 orders are created at the stop patrol service site C, 2 orders are created at the stop patrol service site D, and 2 orders are created at the stop patrol service site E. When the hot sales service site is determined to be A, B, C according to the previous steps, the time for creating each single retail order when the unmanned vehicle stops at each hot sales service site A, B, C can be further obtained, and the order placing time period in the order set of each hot sales service site can be counted.
The centralized order placing time period means that the time difference of the order placing time of the user is within a preset time difference range, the order placing quantity exceeds a preset order quantity, and both the time difference range and the preset order quantity can be flexibly set according to the actual situation, for example, the time difference range and the preset order quantity can be set to be less than 1 minute, the order placing quantity is 5 orders, less than 2 minutes, the order placing quantity is 5 orders, less than 5 minutes, the order placing quantity is 5 orders and the like. Illustratively, assume that unmanned vehicle 01 stopped selling goods at patrol service site A, the 8 retail orders were created at times 8:01, 8:03, 8:04, 8:10, respectively. If the preset time difference range is less than 5 minutes and the order placing amount is 5 orders, the centralized order placing time period of the unmanned vehicle 01 when the unmanned vehicle stops selling commodities at the patrol service site A is 8: 01-8: 04.
And the arrival time refers to the time point when the unmanned vehicle parks to each hot sales service station and patrols and sells the vehicle-mounted goods.
Similarly, the centralized ordering period for patrol service site B and patrol service site C may be counted in the manner described above. Assuming that the centralized ordering time of the patrol service site B is 8: 15-8: 18, and the centralized ordering time of the patrol service site C is 8: 30-8: 35. Then, the service duration adjustment value corresponding to each hot-selling service site can be further determined by combining the centralized ordering time period and the hot-ranking result.
In practical application, in order to ensure that the unmanned vehicle can park in time to reach each patrol and sell service station on a patrol and sell path in a specified area, the distance between each patrol and sell service station is not set too far. Generally, an unmanned vehicle may travel all of the patrol service sites on the patrol route of a designated area within a half hour.
For example, assuming that the scheduled patrol and sale stay time of the unmanned vehicle at the hot-selling service site A, B, C is 5 minutes, the arrival time of the hot-selling service site A, B, C is 8:05, 8:15 and 8: 20; the centralized ordering time periods of the hot-selling service sites A, B, C are respectively 8: 01-8: 04, 8: 15-8: 18 and 8: 30-8: 35. Then the arrival time updates for the hot-sell service site A, B, C may be adjusted to 8:00, 8:13, 8:29, respectively.
In the embodiment of the disclosure, the centralized ordering time period of each hot-selling service site is determined through statistics, and then the arrival time of each hot-selling service site is updated and adjusted according to the centralized ordering time period, so that the updated and adjusted arrival time of each hot-selling service site can be before the user centralized ordering time period of each hot-selling service site, that is, it is ensured that an unmanned vehicle can arrive at a corresponding hot-selling service site in advance before the user centralized ordering time period, and thus, not only can more intelligent and high-quality unmanned selling service be provided for users, but also the commodity selling success rate can be improved.
In another embodiment, the patrol route of the unmanned vehicle can be flexibly adjusted according to the centralized ordering time period of each hot-selling service station. For example, if the centralized ordering time period of the hot sales service site A comprises 8: 01-8: 04, 8: 50-8: 55, and the centralized ordering time periods of the hot sales service sites B and C comprise 8: 15-8: 18 and 8: 30-8: 35, the patrol route of 8: 00-8: 59 in the patrol time period can be adjusted to A → B → C → A.
In some embodiments, connecting the plurality of hot sales service sites according to the connection order to obtain an updated patrol route, and using the updated patrol route to cover the initial patrol route, includes:
acquiring a plurality of target order transaction position information of each hot sales service site in a centralized order placing time period;
performing position clustering analysis on the trading position information of the target orders to obtain a position clustering center;
updating and adjusting the original site position of each hot sales service site according to the position clustering center to obtain updated hot sales service sites;
and connecting the updated hot sales service sites according to the connection sequence to obtain an updated patrol route, and covering the initial patrol route by using the updated patrol route.
As an example, suppose that unmanned vehicles are in the patrol period of 8: 00-8: 59, and the centralized ordering period of the hot sales service site A, B, C is 8: 01-8: 04 (corresponding to 8 single-target trade orders), 8: 15-8: 18 (corresponding to 12 single-target trade orders), and 8: 30-8: 35 (corresponding to 6 single-target trade orders), respectively. Then, the trading position information of the target trading order of each hot-sell service site, that is, the unmanned position or the user mobile phone position information when each order is generated (created) can be acquired respectively.
Taking a hot sales service site A as an example, performing memorability position clustering analysis on the trading position information of 8 single-target trading orders to obtain a position clustering center corresponding to the centralized ordering time period; then, a distance value between the location cluster center and the original site location of the hot-sell service site a is calculated. If the distance value is smaller than the preset distance threshold value, the original site position of the hot-plug service site A is not increased; and if the distance value is larger than the preset distance threshold value, covering the original site position of the hot-selling service site A by using the position clustering center to obtain an updated hot-selling service site A'.
Similarly, the original site location of the hot-selling service site B, C may be updated and adjusted in the above manner to obtain updated hot-selling service sites B ', C'.
If it is determined from the above steps that the connection order of the hot-plug service site A, B, C is B → a → C, the respective update hot-plug service sites can be connected according to the connection order, resulting in an update path B ' → a ' → C '.
According to the technical scheme provided by the embodiment of the disclosure, by acquiring the trading position information of a plurality of target orders in the centralized ordering period of each hot sales service site, performing position clustering analysis on the trading position information of the target orders to obtain a position clustering center, and then updating and adjusting the position of the original site of each hot sales service site according to the position clustering center, unmanned vehicles can stop at the centralized ordering position of a user, so that more intelligent and high-quality unmanned selling service can be provided for the user, and the commodity selling success rate can be improved.
In some embodiments, after finding a plurality of hot sales service sites in each patrol period according to the sales heat value, the method further includes:
acquiring the flow of people and other patrol data of goods sold by the unmanned vehicle on a non-patrol service site on an initial patrol route in each patrol period, wherein the other patrol data comprise the flow of people and other order data, and the other order data comprise other order quantity, other order generation time and other order transaction position information;
calculating the selling heat value of the non-patrol selling service site according to the flow of people and other order data;
and if the selling heat value is greater than or equal to the preset heat threshold, determining the non-patrol selling service site as the newly-added hot selling service site.
The non-patrol service site is a coordinate point other than a patrol service site preset on a patrol route.
In one implementation scenario, during the time that an unmanned vehicle visits and sells an in-vehicle item along each of the patrol service sites on the patrol route, the unmanned vehicle may be called by the user to stop and sell the item at a location other than the patrol service site. For example, when the unmanned vehicle finds that the user signs his or her hands or receives a voice call from the user at another coordinate point outside the patrol service station, the unmanned vehicle stops and waits for the sign-on or call of the user to place an order to purchase the vehicle-mounted goods. At this time, when the unmanned vehicle finds the waving user or receives the voice call of the user, the vehicle-mounted camera acquires the surrounding human flow. When the user is called or called to place an order, the data of the order placing commodity, the order placing time, the order placing quantity and the like of the user can be obtained, and other orders are created.
And calculating the sales heat value of the non-patrol service site according to the people flow and other order data, which is the same as the calculation process of the sales heat value of the patrol service site, and is not described again here.
As an example, suppose that the initial patrol route of the unmanned vehicle 01 in the district A and the patrol period of 10: 00-10: 59 is A → C → B → E → D. If the unmanned vehicle 01 leaves the patrol service station A in a parking state and finds that the user recruits the hand to the unmanned vehicle during the period of not arriving at the patrol service station C, at the moment, the unmanned vehicle 01 can collect the surrounding people flow through the vehicle-mounted camera, stops to wait for the recruiter to place an order to purchase vehicle-mounted goods, and generates other order data after the recruiter places the order. Thereafter, the corresponding sales heat value is calculated by analyzing the flow of people and other order data at this location (non-patrol service site). If the sale heat value is larger than the preset heat threshold value, the sale heat value (the non-patrol sale service site) can be determined as the new hot sale service site.
According to the technical scheme provided by the embodiment of the disclosure, the passenger flow and other patrol data of the unmanned vehicle for selling the commodity at the non-patrol sale service site on the initial patrol sale path in each patrol sale period are obtained, and then the sale heat value of the non-patrol sale service site is calculated according to the passenger flow and other patrol sale data; and then, whether the non-patrol selling service site is used as a newly-added hot selling service site or not is judged according to the selling heat value, so that the unmanned vehicle can provide more intelligent and high-quality unmanned selling service for more users in the specified area, and the selling transaction rate is improved. Meanwhile, the liquidity of people gathering in the designated area can be flexibly responded, so that a more intelligent and reasonable patrol route is planned.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 3 is a schematic diagram of an apparatus for searching for an unmanned vehicle patrol hot-selling service site according to an embodiment of the present disclosure. As shown in fig. 3, the apparatus for searching for the unmanned vehicle patrols the hot sales service site includes:
the time interval dividing module 301 is configured to divide the patrol service time of the unmanned vehicle for patrolling and selling the vehicle-mounted goods in the specified area into a plurality of patrol time intervals according to a preset time interval;
the data acquisition module 302 is configured to acquire patrol data of the unmanned vehicle for patrolling and selling the vehicle-mounted goods in each patrol period, wherein the patrol data comprises an initial patrol path, the initial patrol path comprises a plurality of patrol service sites, and people flow density data and retail order data corresponding to each patrol service site, and the retail order data at least comprises order quantity, order generation time and order transaction position information;
a popularity determination module 303 configured to determine a sales popularity value for each of the patrol service sites based on the people flow density data and the retail order data;
And the site searching module 304 is configured to search a plurality of hot sales service sites in each patrol period according to the sales heat value.
According to the technical scheme provided by the embodiment of the disclosure, the patrol sale service time of the unmanned vehicle for patrol sale of the vehicle-mounted goods in the designated area is divided into a plurality of patrol sale time periods by the time period division module 301 according to the preset time interval; the data acquisition module 302 acquires patrol data of the unmanned vehicle for patrolling and selling the vehicle-mounted goods in each patrol and sell time period, wherein the patrol and sell data comprise an initial patrol and sell path, the initial patrol and sell path comprises a plurality of patrol and sell service sites, and people flow density data and retail order data corresponding to each patrol and sell service site, and the retail order data at least comprise order quantity, order generation time and order transaction position information; the heat determination module 303 determines the sales heat value of each patrol service site according to the people flow density data and the retail order data; the site searching module 304 searches a plurality of hot selling service sites in each patrol selling time period according to the sales heat value, can accurately lock the hot selling sites in the patrol selling route, is favorable for improving the sales transaction rate of commodities, can better serve more demand users, and improves the quality of the unmanned vehicle selling service.
In some embodiments, the data obtaining module 302 includes:
the system comprises a calling unit and a selling unit, wherein the calling unit is configured to call a plurality of initial patrol and sell paths corresponding to a specified area, one initial patrol and sell path corresponds to one patrol and sell time period, and each initial patrol and sell path comprises a plurality of patrol and sell service sites;
the first acquisition unit is configured to acquire pedestrian flow density data acquired by a vehicle-mounted camera device or a station camera device when an unmanned vehicle parks and arrives at each patrol service station in each patrol period;
a second acquisition unit configured to acquire retail order data created during the residence of the unmanned vehicle at each of the patrol service sites within each of the patrol periods.
In some embodiments, the heat determining module 303 includes:
the level determining unit is configured to determine a people flow density level corresponding to the people flow density data and an order quantity level corresponding to the order quantity;
and the heat determining unit is configured to determine the sales heat value of each patrol service site according to the people flow density grade and the order quantity grade.
In some embodiments, the above apparatus further comprises:
the ordering module is configured to order the sales heat values of the hot sales service sites in each patrol and sale period to obtain a heat ordering result;
The order determining module is configured to determine a path connection order among a plurality of hot-selling service stations according to the hot ranking result;
and the path updating module is configured to connect the plurality of hot sales service sites according to the connection order to obtain an updated patrol route, and the updated patrol route is used for covering the initial patrol route.
In some embodiments, the above apparatus further comprises:
the time length obtaining module is configured to obtain the preset patrol and sale stay time length of each hot sales service site;
the adjustment value determining module is configured to determine a service duration adjustment value corresponding to each hot-selling service site according to the hot-ranking result;
and the duration adjusting module is configured to update and adjust the preset patrol and sale stay duration of each hot-sales service site according to the service duration adjusting value.
In some embodiments, the above apparatus further comprises:
a centralized ordering time period determining module configured to determine a centralized ordering time period of each hot-sell service site according to the order generation time;
and the arrival time updating module is configured to update and adjust the arrival time corresponding to the fact that the unmanned vehicle is parked and arrives at each hot-selling service station according to the centralized ordering time period.
In some embodiments, the path updating module may be specifically configured to:
a trading position acquisition unit configured to acquire a plurality of target order trading position information of the centralized order placing time period of each thermal sales service site;
the clustering unit is configured to perform position clustering analysis on the trading position information of the target orders to obtain a position clustering center;
the site position updating unit is configured to update and adjust the original site position of each hot sales service site according to the position clustering center to obtain updated hot sales service sites;
and the path updating unit is configured to connect the updated hot sales service sites according to the connection order to obtain an updated patrol route, and the updated patrol route is used for covering the initial patrol route.
In some embodiments, the above apparatus further comprises:
the other data acquisition module is configured to acquire the flow of people and other patrol data of the unmanned vehicle selling the commodities at the non-patrol service site on the initial patrol route in each patrol period, the other patrol data comprises the flow of people and other order data, and the other order data comprises other order quantity, other order generation time and other order transaction position information;
The selling heat calculating module is configured to calculate the selling heat value of the non-patrol selling service site according to the people flow and other order data;
and the site adding module is configured to determine the non-patrol sale service site as the added hot sale service site if the selling heat value is greater than or equal to a preset heat threshold.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
Fig. 4 is a schematic diagram of an electronic device 4 provided by the embodiment of the present disclosure. As shown in fig. 4, the electronic apparatus 4 of this embodiment includes: a processor 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the processor 401. The steps in the various method embodiments described above are implemented when the processor 401 executes the computer program 403. Alternatively, the processor 401 implements the functions of the respective modules/units in the above-described respective apparatus embodiments when executing the computer program 403.
The electronic device 4 may be a desktop computer, a notebook, a palm computer, a cloud server, or other electronic devices. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that fig. 4 is merely an example of electronic device 4 and does not constitute a limitation of electronic device 4 and may include more or fewer components than shown, or different components.
The Processor 401 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like.
The storage 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or a memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the electronic device 4. The memory 402 may also include both internal storage units of the electronic device 4 and external storage devices. The memory 402 is used for storing computer programs and other programs and data required by the electronic device.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the present disclosure may implement all or part of the flow of the method in the above embodiments, and may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the above methods and embodiments. The computer program may comprise computer program code which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain suitable additions or additions that may be required in accordance with legislative and patent practices within the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals or telecommunications signals in accordance with legislative and patent practices.
The above examples are only intended to illustrate the technical solution of the present disclosure, not to limit it; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present disclosure, and are intended to be included within the scope of the present disclosure.
Claims (10)
1. A method for searching a hot sales service site for unmanned vehicle patrol is characterized by comprising the following steps:
dividing patrol sale service time of the unmanned vehicle for patrol sale of the vehicle-mounted goods in the designated area into a plurality of patrol sale time periods according to a preset time interval;
acquiring patrol data of the unmanned vehicle for patrolling and selling vehicle-mounted goods in each patrol time period, wherein the patrol data comprises an initial patrol path, the initial patrol path comprises a plurality of patrol service sites, and people flow density data and retail order data corresponding to each patrol service site, and the retail order data at least comprises order quantity, order generation time and order transaction position information;
Determining a sales heat value of each patrol service site according to the people flow density data and retail order data;
and according to the sales heat value, finding out a plurality of hot sales service sites in each patrol and sale period.
2. The method according to claim 1, wherein obtaining patrol data of the unmanned vehicle for patrol selling vehicle-mounted commodities in each patrol period comprises:
calling a plurality of initial patrol and sale paths corresponding to the designated area, wherein one initial patrol and sale path corresponds to one patrol and sale time period, and each initial patrol and sale path comprises a plurality of patrol and sale service sites;
acquiring pedestrian flow density data acquired by a vehicle-mounted camera device or a station camera device when the unmanned vehicle parks and arrives at each patrol service station in each patrol time period;
obtaining retail order data created by the unmanned vehicle during the residence of each of the itinerant service sites during each of the itinerant periods.
3. The method of claim 1, wherein determining a sales heat value for each of the itinerant service sites based on the people flow density data and retail order data comprises:
Determining a people flow density grade corresponding to the people flow density data and an order quantity grade corresponding to the order quantity;
and determining the sales heat value of each patrol service site according to the people flow density grade and the order quantity grade.
4. The method of claim 1, wherein after finding a plurality of hot sales service sites within each of the patrol periods according to the sales popularity value, further comprising:
sequencing the sales heat values of a plurality of hot sales service sites in each patrol and sale period to obtain a heat sequencing result;
determining a path connection order among the hot-selling service stations according to the hot ranking result;
and connecting the plurality of hot sales service sites according to the connection sequence to obtain an updated patrol route, and covering the initial patrol route by using the updated patrol route.
5. The method according to claim 4, wherein connecting the plurality of hot sales service sites according to the connection order to obtain an updated itinerant sales path, and after covering the initial itinerant sales path with the updated itinerant sales path, further comprising:
acquiring the original patrol and sale residence time of each hot sales service site;
Determining a service duration adjustment value corresponding to each hot-selling service site according to a heat sorting result;
and updating and adjusting the preset patrol and sale stay time of each hot sales service site according to the service time adjustment value.
6. The method according to claim 4, wherein connecting the plurality of hot sales service sites according to the connection order to obtain an updated itinerant sales path, and after covering the initial itinerant sales path with the updated itinerant sales path, further comprising:
determining a centralized ordering time period of each hot sales service site according to the order generation time;
and updating and adjusting the arrival time corresponding to the time when the unmanned vehicle parks to reach each hot-selling service station according to the centralized ordering time period.
7. The method of claim 6, wherein connecting the plurality of hot sales service sites in the connection order to obtain an updated itinerant path, and wherein using the updated itinerant path to override the initial itinerant path comprises:
acquiring a plurality of target order transaction position information of each hot sales service site in a centralized order placing time period;
performing position clustering analysis on the trading position information of the target orders to obtain a position clustering center;
Updating and adjusting the original site position of each hot-selling service site according to the position clustering center to obtain updated hot-selling service sites;
and connecting the updated hot selling service sites according to the connection sequence to obtain an updated patrol selling path, and covering the initial patrol selling path by using the updated patrol selling path.
8. The method according to claim 1, wherein after finding a plurality of hot sales service sites in each of the patrol periods according to the sales heat value, the method further comprises:
acquiring the pedestrian volume and other patrol data of the unmanned vehicle selling goods at the non-patrol service site on the initial patrol route in each patrol period, wherein the other patrol data comprises the pedestrian volume and other order data, and the other order data comprises other order quantity, other order generation time and other order transaction position information;
calculating the selling heat value of the non-patrol selling service site according to the people flow and other order data;
and if the selling heat value is greater than or equal to a preset heat threshold value, determining the non-patrol selling service site as a newly-added hot selling service site.
9. An apparatus for searching a hot-selling service site of an unmanned vehicle, comprising:
the time interval dividing module is configured to divide the patrol sale service time of the unmanned vehicle for patrol sale of the vehicle-mounted goods in the designated area into a plurality of patrol sale time intervals according to a preset time interval;
the data acquisition module is configured to acquire patrol data of the unmanned vehicle for patrolling and selling vehicle-mounted commodities in each patrol period, wherein the patrol data comprises an initial patrol path, the initial patrol path comprises a plurality of patrol service sites, and people flow density data and retail order data corresponding to each patrol service site, and the retail order data at least comprises order quantity, order generation time and order transaction position information;
a popularity determination module configured to determine a sales popularity value of each of the patrol service sites according to the people flow density data and retail order data;
and the site searching module is configured to search a plurality of hot sale service sites in each patrol and sale period according to the sale heat value.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.
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Application publication date: 20220527 |