WO2021136147A1

WO2021136147A1 - Method and system for positioning preset region of shared device

Info

Publication number: WO2021136147A1
Application number: PCT/CN2020/139958
Authority: WO
Inventors: 彭颖茵; 王昌鹏; 陈燕莉; �田�浩
Original assignee: 北京骑胜科技有限公司
Priority date: 2019-12-31
Filing date: 2020-12-28
Publication date: 2021-07-08

Abstract

A method and system (100) for positioning a preset region of a shared device (140). The method for positioning the preset region of the shared device (140) comprises: acquiring signal information of the shared device (140) (510); at least on the basis of the signal information, determining by means of a preset algorithm whether the shared device (140) is located in a preset return region (520); and in response to the shared device (140) being located in the preset return region, allowing the shared device (140) to be returned (530).

Description

Method and system for locating preset area of shared equipment

Priority statement

This application claims the priority of the Chinese application number 201911414835.0 filed on December 31, 2019, the priority of the Chinese application number 201911408189.7 filed on December 31, 2019, and the priority of the Chinese application number 201911420057.6 filed on December 31, 2019. , The entire content is incorporated into this article by reference.

Technical field

This application relates to the technical field of shared devices, and in particular to a method and system for locating a preset area of a shared device.

Background technique

Shared service applications, such as shared cars, shared bicycles, shared power banks, etc., are favored by more users due to the convenience of their services. In the sharing service, the user needs to return the shared device to the designated area after using the shared device, so as to facilitate the use of other users and the unified maintenance of the device. However, when the product is returned at a fixed point, due to factors such as the limited area of the designated area or inaccurate positioning, the user may not be able to return successfully, resulting in low efficiency in returning the shared product and reducing the user experience.

Therefore, it is desirable to provide a method for locating a preset area of a shared device that can improve the efficiency of returning the shared device and enhance the user experience.

Summary of the invention

One of the embodiments of the present application provides a method for locating a preset area of a shared device. The method includes: obtaining signal information of the shared device; at least based on the signal information, determining whether the shared device is located in a preset algorithm through a preset algorithm. In the return area; in response to the shared device being located in the preset return area, allowing the shared device to return.

One of the embodiments of the present application provides a system for locating a preset area of a shared device. The system includes: an acquisition module, configured to acquire signal information of the shared device; The algorithm determines whether the shared device is located in the preset return area; the transmission module is configured to allow the shared device to be returned in response to the shared device being located in the preset return area.

In some embodiments, the signal information includes wireless signal information of the shared device; the determining whether the shared device is located in the preset return area at least based on the signal information through the preset algorithm includes : Input the wireless signal information of the shared device into the first learning model to determine the probability that the shared device is located in the preset return area; responding to the probability that the shared device is located in the preset return area is greater than the first learning model A preset threshold determines that the shared device is located in the preset return area.

In some embodiments, the wireless signal information includes wifi signal information; the acquiring the signal information of the shared device includes: receiving a wifi signal list scanned by a wireless module of the sharing device, and the wifi signal list includes: wifi signal Name and corresponding wifi signal strength.

In some embodiments, the first learning model is obtained by the following method: constructing a training data set, the training data set includes: a plurality of first shared devices that are the same as the shared device are in the preset return area Wireless signal information collected when returning, and wireless signal information collected when multiple second shared devices identical to the shared device are not returned in the preset return area; characterize the data in the training data set Extracting to obtain first feature information; inputting the first feature information to an initial learning model for iterative training to obtain the first learning model.

In some embodiments, the method further includes: in response to the probability that the shared device is located in the preset return area is not greater than the first preset threshold, determining that the shared device is located in the preset return area Outside; and, sending reminder information to the user corresponding to the sharing device to prompt the user to search for the return area again.

In some embodiments, the method further includes: acquiring GPS signal information of the shared device; and in response to the signal strength of the GPS signal information being greater than a second preset threshold, sending return area recommendation information to the user.

In some embodiments, the method further includes: receiving return feedback of the shared device, the return feedback including: the shared device cannot be returned within the preset return area, the wireless signal information acquisition fails; Return the feedback for review, and if the review is passed, record the number and location information of the shared device.

In some embodiments, the method further includes: sending the number and the location information of the shared device to a terminal of an administrator, so that the administrator can maintain the shared device.

In some embodiments, the method further includes: in response to the probability that the shared device is located in the preset return area is not greater than the first preset threshold, and the return success information of the shared device is received, recording the shared device The number of erroneous return times of the user of the device is increased by 1; and, according to the number of erroneous return times, the price of the user's next use of the shared device or similar shared devices is determined.

In some embodiments, the signal information includes location information of the shared device; the determining whether the shared device is located in the preset return area at least based on the signal information through the preset algorithm includes : Obtain the second characteristic information of the preset return area corresponding to the location information of the shared device; determine the redundancy value of the preset return area through a second learning model at least according to the second characteristic information; The redundancy value and the preset return area determine whether the shared device is located in the preset return area.

In some embodiments, the second learning model is obtained by: acquiring second characteristic information of the sample return area; and determining the redundancy value corresponding to the sample return area according to the second characteristic information of the sample return area According to the second feature information of the sample return area; and, the redundant value corresponding to the sample return area, perform model training to obtain the second learning model.

In some embodiments, the second characteristic information of the sample return area includes: road condition information and shared device information of the return area; and the second characteristic information of the sample return area is determined according to the second characteristic information of the sample return area. The redundancy value includes: determining the redundancy value corresponding to the sample return area according to the road condition information of the sample return area and the shared device information.

In some embodiments, the road condition information of the return area includes at least one of the following information: the width of the road in the return area, the proportion of the residential area within a preset range of the return area, and the closest distance to the return area The distance to the business area of the return area, the historical traffic information in the return area, and the location characteristics of the return area; the shared device information of the return area includes at least one of the following information: the number of shared devices in the return area, The shared device outflow information in the return area and the shared device inflow information in the return area are described.

In some embodiments, the second characteristic information of the sample return area includes traffic control information of the return area; the determining the redundancy corresponding to the sample return area according to the second characteristic information of the sample return area The value includes: determining the maximum redundancy value corresponding to the sample return area according to the traffic control information of the sample return area; adjust the initial redundancy value according to the maximum redundancy value to obtain the sample return area For the corresponding redundancy value, the redundancy value corresponding to the sample return area is less than or equal to the maximum redundancy value.

In some embodiments, the determining whether the shared device is located in the preset return area according to the redundancy value and the preset return area includes: obtaining user information corresponding to the shared device; The user information adjusts the redundancy value corresponding to the preset return area to obtain the adjusted redundancy value; determines the target return area according to the adjusted redundancy value and the preset return area; responding When the location of the shared device is within the target return area, it is determined that the shared device is located within the preset return area.

In some embodiments, the user information includes: the user's credit information, and/or the user's historical order information.

In some embodiments, the method further includes: sending an information prompt to a user corresponding to the sharing device based on the positional relationship between the sharing device and the preset area.

In some embodiments, the information prompt reflects the location relationship between the shared device and the preset area and/or the charging policy of the shared device.

In some embodiments, the sending an information prompt to a user corresponding to the sharing device based on the positional relationship between the sharing device and the preset area includes: if the sharing device is located in the first preset area and satisfies If the shared device is located in the second preset area and meets the second preset condition, then send the second prompt information to the user; if the shared device is located in the second preset area and meets the second preset condition, send the second prompt information to the user; If the shared device is located in the third preset area, then third prompt information is sent to the user; wherein, the first preset area is the preset return area, and the second preset area is forbidden to place the shared device Area, the third preset area is an area outside the first preset area and the second preset area.

In some embodiments, the information prompt includes at least one of the following: a first charging policy of the shared device, the first charging policy indicating that the shared device is located in the first preset area A charging strategy; a second charging strategy of the shared device, where the second charging strategy indicates a charging strategy when the shared device is located in the third preset area.

In some embodiments, when the third prompt information includes the first charging policy, the first charging policy is determined in the following manner: acquiring the location of the shared device and the boundary of the first preset area The minimum distance of the location point; according to the minimum distance and the mapping relationship between the preset distance and the charging strategy, the first charging strategy corresponding to the minimum distance is determined.

In some embodiments, the first charging policy includes a free use policy and/or a preferential use policy corresponding to the user behavior.

One of the embodiments of the present application provides a device for locating a preset area of a shared device. The device includes at least one processor and at least one memory; the at least one memory is used to store computer instructions; the at least one processor is used to execute At least some of the computer instructions are used to implement the preset area locating method of the shared device as described above.

One of the embodiments of the present application provides a computer-readable storage medium that stores computer instructions. After the computer reads the computer instructions in the storage medium, the computer executes the previously described method for locating a preset area of a shared device .

Description of the drawings

This application will be further described in the form of exemplary embodiments, and these exemplary embodiments will be described in detail with the accompanying drawings. These embodiments are not restrictive. In these embodiments, the same number represents the same structure, in which:

FIG. 1 is a schematic diagram of an application scenario of a preset area positioning system of a shared device according to some embodiments of the present application;

Fig. 2 is a schematic diagram of exemplary hardware components and/or software components of an exemplary computing device according to some embodiments of the present application;

Fig. 3 is a schematic diagram of exemplary hardware components and/or software components of an exemplary terminal device according to some embodiments of the present application;

Fig. 4 is an exemplary module diagram of an exemplary processing device according to some embodiments of the present application;

Fig. 5 is an exemplary flow chart of a method for locating a preset area of a shared device according to some embodiments of the present application;

Fig. 6 is an exemplary flowchart of a method for locating a preset area of a shared device according to some embodiments of the present application;

Fig. 7 is a schematic diagram of a wifi signal list according to some embodiments of the present application;

8 and 9 are schematic diagrams of display interfaces of terminal devices according to some embodiments of the present application;

FIG. 10 is an exemplary flow chart of a method for determining a first learning model according to some embodiments of the present application;

FIG. 11 is an exemplary flowchart of a method for locating a preset area of a shared device according to other embodiments of the present application;

Fig. 12 is an exemplary flowchart of a second learning model determination method according to some embodiments of the present application;

FIG. 13 is an exemplary flowchart of a method for locating a preset area of a shared device according to other embodiments of the present application; and

Fig. 14 is an exemplary flowchart of a method for determining a first charging policy according to some embodiments of the present application.

Detailed ways

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings that need to be used in the description of the embodiments. Obviously, the drawings in the following description are only some examples or embodiments of the application. For those of ordinary skill in the art, without creative work, the application can be applied to the application according to these drawings. Other similar scenarios. Unless it is obvious from the language environment or otherwise stated, the same reference numerals in the figures represent the same structure or operation.

It should be understood that the “system”, “device”, “unit” and/or “module” used herein is a method for distinguishing different components, elements, parts, parts, or assemblies of different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

As shown in the present application and claims, unless the context clearly suggests exceptional circumstances, the words "a", "an", "an" and/or "the" do not specifically refer to the singular, but may also include the plural. Generally speaking, the terms "include" and "include" only suggest that the clearly identified steps and elements are included, and these steps and elements do not constitute an exclusive list, and the method or device may also include other steps or elements.

In this application, a flowchart is used to illustrate the operations performed by the system according to the embodiment of the application. It should be understood that the preceding or following operations are not necessarily performed exactly in order. Instead, the steps can be processed in reverse order or at the same time. At the same time, other operations can be added to these processes, or a certain step or several operations can be removed from these processes.

Application scenarios of different embodiments of the present application may include, but are not limited to, one or more web pages, browser plug-ins and/or extensions, user terminals, customized systems, internal company analysis systems, artificial intelligence robots, etc., or any combination thereof. It should be understood that the application scenarios of the system and method disclosed herein are only some examples or embodiments. Those with ordinary skills in this field can apply these methods to other application scenarios without further creative efforts. For example, other similar servers.

The location and/or trajectory of the user in the present application can be obtained by the positioning technology embedded in the user terminal, and the location and/or trajectory of the shared device can be obtained by the positioning technology embedded in the shared device. The positioning technology used in this application may include Global Positioning System (GPS), Global Navigation Satellite System (GLONASS), Beidou Navigation System (COMPASS), Galileo Positioning System (GLONASS), Quasi-Zenith Satellite System (QZSS), base station positioning technology , Wi-Fi positioning technology, etc., or any combination thereof. One or more of the above positioning technologies can be used interchangeably in this application.

Fig. 1 is a schematic diagram of an application scenario of a preset area positioning system of a shared device according to some embodiments of the present application.

As shown in FIG. 1, the preset area positioning system 100 of the shared device may include a server 110, a network 120, a client 130, a shared device 140 and a storage 150. In some embodiments, the server 110 may obtain the signal information (for example, location information, wireless network information, etc.) of the shared device from the user terminal 130 or the sharing device 140, and determine whether the sharing device 140 is returning by default based on at least the signal information. In the area, when the shared device 140 is in the preset return area, the shared device 140 is allowed to return at the current location. In some embodiments, the server 110 may determine the shared device 140 and the preset area (for example, the first preset area, the second preset area, and the third preset area) based on the location information of the shared device acquired from the shared device 140. Based on the location relationship between regions, etc., corresponding prompt information (for example, first prompt information, second prompt information, third prompt information, etc.) is sent to the sharing device 140 based on the position relationship.

The server 110 may process data and/or information obtained from at least one component of the system 100 (for example, the client 130, the shared device 140, and the storage 150) or an external data source (for example, a cloud data center). In some embodiments, the server 110 may be local or remote. For example, the server 110 may access information and/or data stored in the client 130, the sharing device 140, and the storage 150 via the network 120. For another example, the server 110 may directly connect to the client 130, the sharing device 140, and the storage 150 to access the data and/or information stored therein. In some embodiments, the server 110 may be implemented on a cloud platform. For example only, the cloud platform may include private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, internal cloud, multi-layer cloud, etc., or any combination thereof.

The server 110 may be a server or a server group. The server group may be centralized, such as a data center. The server group may also be distributed, such as a distributed system.

In some embodiments, the server 110 may include a processing device 112. The processing device 112 may process information and/or data related to the shared device to perform one or more functions described in this specification. For example, the processing device 112 may obtain its signal information from the sharing device 140, determine whether the sharing device 140 is located in the preset return area based on the signal information, and determine whether to allow the sharing device 140 to be returned at the current location based on the determination result. In some embodiments, the processing device 112 may include at least one processing unit (for example, a single-core processing engine or a multi-core processing engine). For example only, the processing device 112 includes a central processing unit (CPU), an application specific integrated circuit (ASIC), an application-specific instruction set processor (ASIP), a graphics processing unit (GPU), a physical processing unit (PPU), and a digital signal processor. (DSP), Field Programmable Gate Array (FPGA), Programmable Logic Device (PLD), Controller, Microcontroller Unit, Reduced Instruction Set Computer (RISC), Microprocessor, etc. or any combination thereof.

In some embodiments, the processing device 112 may be a part of the client 130 and/or the sharing device 140. For example, the processing device 112 may be integrated in the user terminal 130 to obtain and process information such as the user's location information, the user's personal information, and the user's historical order data. For another example, the processing device 112 may be integrated in the sharing device 140 to obtain signal information of the sharing device 140, and at least based on the signal information, determine whether the sharing device 140 is located in the preset return area through a preset algorithm, and respond to The sharing device 140 is located in the preset return area, allowing the sharing device 140 to be returned at the current location.

The network 120 may provide channels for information exchange. The network 120 may be a single network or a combination of multiple networks. For example only, the network 120 may include a cable network, a wired network, an optical fiber network, a telecommunication network, an internal network, the Internet, a local area network (LAN), a wide area network (WAN), a wireless local area network (WLAN), a metropolitan area network ( MAN), Public Switched Telephone Network (PSTN), Bluetooth Network, Zigbee Network, Near Field Communication (NFC) Network, Global System for Mobile Communications (GSM) Network, Code Division Multiple Access (CDMA) Network, Time Division Multiple Access (TDMA) Network, general packet radio service (GPRS) network, enhanced data rate GSM evolution (EDGE) network, broadband code division multiple access (WCDMA) network, high-speed downlink packet access (HSDPA) network, long-term evolution (LTE) network, User Datagram Protocol (UDP) network, Transmission Control Protocol/Internet Protocol (TCP/IP) network, Short Message Service (SMS) network, Wireless Application Protocol (WAP) network, Ultra Wideband (UWB) network, infrared, etc. or any of them combination. In some embodiments, the network 120 may include one or more network access points. For example, the network 120 may include wired or wireless network access points, such as base stations and/or Internet exchange points 120-1, 120-2, ..., and one or more components of the system 100 may be connected to the network 120 through the access points. To exchange data and/or information.

The owner of the user terminal 130 may be the user himself or someone other than the user himself. For example, the owner A of the user terminal 130 may use the user terminal 130 to send a service request for the user B, and/or receive service confirmation and/or information or instructions from the server 110. In some embodiments, the user terminal 130 may include various types of devices with information receiving and/or sending functions. For example, the user terminal 130 may include, but is not limited to, a tablet computer 130-1, a notebook computer 130-2, a mobile device 130-3, a desktop computer, etc., or any combination thereof. The client 130 can process information and/or data. In some embodiments, the user terminal 130 may be a device with a positioning function, so that the location related information of the user terminal 130 may be provided. The location-related information may include location, altitude, speed, acceleration, time, and so on. In some embodiments, the system 100 may also include other devices with positioning functions (for example, satellite positioning devices, GPS positioning devices), and these devices may interact with components in the system 100 (for example, the user terminal 130, the sharing device 140, etc.) Communicate to determine information about its location. In some embodiments, the client 130 may be used to receive and display the prompt information sent by the server 110. In some embodiments, the user terminal 130 may include a short-range communication device. Short-distance communication technology refers to wireless communication technology that works in a local range with a distance of millimeters to kilometers. For example, short-range communication devices can be based on Huawei Hilink protocol, WiFi (IEEE 802.11 protocol), Mesh, Bluetooth, ZigBee, Thread, Z-Wave, NFC (Near Field Communication), UWB (No Carrier Communication) Technologies, such as Ultra Wideband, LiFi (Light Fidelity), etc., realize wireless communication with the shared device 140.

In some embodiments, the shared device 140 may include, but is not limited to, shared bicycles 140-1, shared motorcycles 140-2, shared power banks 140-3, shared electric motorcycles, shared cars, shared umbrellas, shared skateboards and other shared items. In some embodiments, the sharing device 140 may include a communication port, and the communication port may implement network communication with the server 110, the user terminal 130, and the like. For example, it connects with the server 110 via a mobile communication network, receives various control instructions, prompt information, etc. issued by the server 110, or uploads its own status information to the server 110, including but not limited to location information, wifi signal information, and battery Remaining battery, moving speed, etc. In some embodiments, a short-distance communication device may be integrated in the sharing device 140, and short-distance communication is implemented with the user terminal 130 through the short-distance communication device. In some embodiments, the sharing device 140 may have signal connections with various sensors on the sharing device, and may also have signal connections with various execution components on the sharing device. For example, when the shared device 140 is a shared bicycle, it may have a signal connection with the lock, indicator light, sound device and other components on the shared vehicle to control the opening or closing of the lock, indicator light, sound device and other components.

In some embodiments, the sharing device 140 may include an input device and an output device. Exemplary input devices may include a keyboard, a mouse, a touch screen, a microphone, etc., or any combination thereof. Exemplary output devices may include display devices, speakers, printers, projectors, etc., or any combination thereof. Exemplary display devices may include liquid crystal displays (LCD), light emitting diode (LED)-based displays, flat panel displays, curved displays, television equipment, cathode ray tubes (CRT), etc., or any combination thereof. In some embodiments, the shared device 140 may include a positioning device for providing location-related information (for example, GPS signal information) of the shared device. Exemplary location-related information may include location, altitude, speed, acceleration, time, and so on. In some embodiments, the sharing device 140 may include a wireless module for scanning wireless information, for example, wifi signal information.

In some embodiments, the memory 150 may store data and/or instructions that can be executed or used by the processing device 112 to complete the exemplary methods described in this specification. In some embodiments, the memory 150 may include mass memory, removable memory, volatile read-write memory, read-only memory (ROM), etc., or any combination thereof. Exemplary mass storage devices may include magnetic disks, optical disks, solid state disks, and the like. Exemplary removable storage may include flash drives, floppy disks, optical disks, memory cards, compact disks, magnetic tapes, and the like. An exemplary volatile read-write memory may include random access memory (RAM). Exemplary RAM may include dynamic random access memory (DRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), static random access memory (SRAM), thyristor random access memory (T-RAM), zero capacitance Random access memory (Z-RAM), etc. Exemplary read-only memory may include mask-type read-only memory (MROM), programmable read-only memory (PROM), erasable programmable read-only memory (PEROM), electrically erasable programmable read-only memory (EEPROM), CD-ROM, digital versatile disk read-only memory, etc. In some embodiments, the storage 150 may be implemented on a cloud platform. For example only, the cloud platform may include private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, internal cloud, multi-layer cloud, etc., or any combination thereof.

In some embodiments, at least one component in the system 100 can access data or instructions stored in the memory 150 via the network 120. In some embodiments, the storage 150 may be directly connected to the server 110 as a back-end storage. In some embodiments, the storage 150 may be a part of the server 110, the client 130, and/or the shared device 140.

It should be noted that the foregoing description of the system 100 is only for example and description, and does not limit the scope of application of the present application. For those skilled in the art, various modifications and changes can be made to the system 100 under the guidance of this application. However, these amendments and changes are still within the scope of this application.

Fig. 2 is a schematic diagram of exemplary hardware components and/or software components of an exemplary computing device according to some embodiments of the present application.

As shown in FIG. 2, the computing device 200 may include a processor 210, a memory 220, an input/output 230, and a communication port 240. The processor 210 can execute calculation instructions (program code) and perform the functions of the preset area positioning system 100 described in the present invention. The calculation instructions may include programs, objects, components, data structures, procedures, modules, and functions (the functions refer to the specific functions described in the present invention). For example, the processor 210 may process image or text data obtained from any other components of the system 100. In some embodiments, the processor 210 may include a microcontroller, a microprocessor, a reduced instruction set computer (RISC), an application specific integrated circuit (ASIC), an application specific instruction set processor (ASIP), a central processing unit (CPU) , Graphics processing unit (GPU), physical processing unit (PPU), microcontroller unit, digital signal processor (DSP), field programmable gate array (FPGA), advanced RISC machine (ARM), programmable logic device, and Any circuit, processor, etc. that perform one or more functions, or any combination thereof. For illustration only, the computing device 200 in FIG. 2 only describes one processor, but it should be noted that the computing device 200 in the present invention may also include multiple processors.

The memory 220 may store data/information obtained from any other components of the preset area positioning system 100. In some embodiments, the memory 220 may include mass memory, removable memory, volatile read and write memory, read-only memory (ROM), etc., or any combination thereof. Exemplary mass storage devices may include magnetic disks, optical disks, solid state drives, and the like. Removable storage can include flash drives, floppy disks, optical disks, memory cards, compact disks, and magnetic tapes. Volatile read and write memory may include random access memory (RAM). RAM can include dynamic RAM (DRAM), double-rate synchronous dynamic RAM (DDR SDRAM), static RAM (SRAM), thyristor RAM (T-RAM), zero capacitance (Z-RAM), and so on. ROM can include mask ROM (MROM), programmable ROM (PROM), erasable programmable ROM (PEROM), electrically erasable programmable ROM (EEPROM), compact disk ROM (CD-ROM) and digital universal disk ROM Wait.

The input/output 230 may be used to input or output signals, data or information. In some embodiments, the input/output 230 may enable the user to communicate with the system 100. In some embodiments, the input/output 230 may include an input device and an output device. Exemplary input devices may include a keyboard, a mouse, a touch screen, a microphone, etc., or any combination thereof. Exemplary output devices may include display devices, speakers, printers, projectors, etc., or any combination thereof. Exemplary display devices may include liquid crystal displays (LCD), light emitting diode (LED)-based displays, flat panel displays, curved displays, television equipment, cathode ray tubes (CRT), etc., or any combination thereof.

The communication port 240 may be connected to a network for data communication. The connection may be a wired connection, a wireless connection, or a combination of both. Wired connections can include cables, optical cables, or telephone lines, etc., or any combination thereof. The wireless connection may include Bluetooth, Wi-Fi, WiMax, WLAN, ZigBee, mobile networks (for example, 3G, 4G, or 5G, etc.), etc., or any combination thereof. In some embodiments, the communication port 240 may be a standardized port, such as RS232, RS485, and so on. In some embodiments, the communication port 240 may be a specially designed port.

Fig. 3 is a schematic diagram of exemplary hardware components and/or software components of an exemplary terminal device according to some embodiments of the present application.

In some embodiments, part or all of the functions of the user terminal 130 or the sharing device 140 may be implemented by the terminal device 300. As shown in FIG. 3, the terminal device 300 may include a communication unit 310, a display unit 320, a graphics processing unit (GPU) 330, a central processing unit (CPU) 340, an input/output unit 350, a memory 360, and a storage unit 390. In some embodiments, the terminal device 300 may also include any other suitable components, including but not limited to a system bus or a controller (not shown in the figure). In some embodiments, the mobile operating system 370 (for example, iOS™, Android, Windows Phone™, etc.) and one or more application programs 380 may be loaded from the storage unit 390 into the memory 360 so as to be executed by the central processing unit 340. The application program 380 may include a browser or any other suitable mobile application program for receiving and presenting prompt information or other information related information from the processing device 112. The user interaction of the information flow may be implemented through the input/output unit 350, and provided to the processing device 112 and/or other components of the preset area positioning system 100 of the shared device through the network 120.

In order to realize the various modules, units and functions described in this application, a computer hardware platform may be used as a hardware platform for one or more elements described in this application. A computer with user interface elements can be used to implement a personal computer (PC) or any other type of workstation or terminal device. If properly programmed, the computer can also act as a server.

Fig. 4 is an exemplary block diagram of an exemplary processing device according to some embodiments of the present application.

The processing device shown in FIG. 4 may be a controller or processor integrated in a back-end server (such as server 110) of a shared platform, or may be integrated in a shared device (such as shared device 140) or a client (such as a user terminal). 130) Controllers, processors, etc. used to perform data processing functions. As shown in FIG. 4, in some embodiments, the processing device (for example, the processing device 112) may include an acquisition module 410, a processing module 420, a transmission module 430, and a training module 440. These modules can also be implemented as an application program or a set of instructions read and executed by a processing device. In addition, the module can be any combination of hardware circuits and applications/instructions. For example, when a processing device or processor executes an application program/a set of instructions, the module may be a part of the processor.

The obtaining module 410 may be used to obtain signal information of the shared device. In some embodiments, the obtaining module 410 may be used to obtain wireless signal information of the shared device. In some embodiments, the wireless signal information includes wifi signal information. For example, the acquiring module 410 may receive a list of wifi signals scanned by the wireless module of the shared device. The wifi signal list may include, but is not limited to, wifi signal names and corresponding wifi signal strengths. In some embodiments, the obtaining module 410 may be used to obtain the location information of the shared device. For example, the acquiring module 410 may acquire GPS signal information, positioning information, etc. of the shared device from the user terminal 130 or the positioning device of the shared device 140.

In some embodiments, the obtaining module 410 may also be used to obtain related information of the preset area. For example, the acquiring module 410 may acquire the second characteristic information of the preset return area corresponding to the current location of the shared device. In some embodiments, the obtaining module 410 may also be used to obtain user information. For example, the obtaining module 410 may obtain information from the user terminal 130 of the user who initiated the service request related to the shared device. In some embodiments, the user information may include user credit information and/or user history order information, etc.

The processing module 420 may be used to process related information of the shared device. For example, the processing module 420 may determine whether the shared device is located in the preset return area based on at least the signal information of the shared device through a preset algorithm. In some embodiments, the processing module 420 may obtain the GPS signal information of the shared device, and in response to the signal strength of the GPS signal information being greater than the second preset threshold, send return area recommendation information to the user corresponding to the shared device . In some embodiments, the processing module 420 may respond to the probability that the shared device is located in the preset return area not greater than the first preset threshold and receive the return success information of the shared device, and record the number of times of error return of the user of the shared device Self-incremented by 1; and, according to the error return times, determine the price of the user's next use of the shared device or similar shared devices.

In some embodiments, the processing module 420 may further include a judgment unit 423, a recording unit 425, and a calculation unit 427. In some embodiments, the determining unit 423 may be used to determine whether the current location of the shared device is within the preset return area. For example, the judgment unit 423 may input the wireless signal information of the shared device into the first learning model to determine the probability that the shared device is located in the preset return area; responding to the probability that the shared device is located in the preset return area is greater than The first preset threshold determines that the shared device is located in the preset return area. In some embodiments, the judging unit 423 may also determine that the shared device is located outside the preset return area in response to the probability that the shared device is located in the preset return area is not greater than the first preset threshold, and report to the shared device. The user corresponding to the shared device sends a reminder message to prompt the user to search for the return area again.

In some embodiments, the recording unit 425 may be used to receive the return feedback of the shared device, and review the return feedback, and if the review is passed, record the number and location information of the shared device. The return feedback may include the failure to return the shared device within the preset return area and/or the failure to obtain wireless signal information.

In some embodiments, the calculation unit 427 may be used to calculate the redundancy value of the preset return area. For example, the calculation unit 427 may obtain the second characteristic information of the preset return area corresponding to the location information of the shared device; at least according to the second characteristic information, determine the redundancy value of the preset return area through a second learning model; According to the redundancy value and the preset return area, determine whether the shared device is located in the preset return area. In some embodiments, the second characteristic information may include, but is not limited to, user information, road condition information, shared device information, traffic control information, etc., of the return area, or any combination thereof. In some embodiments, the calculation unit 427 may also obtain user information corresponding to the shared device; adjust the redundancy value corresponding to the preset return area according to the user information, and adjust the redundancy value according to the adjusted redundancy value and the total value. The preset return area determines a target return area; in response to the location of the shared device being within the target return area, it is determined that the shared device is located in the preset return area.

The transmission module 430 may be used to transmit information. For example, the transmission module 430 may respond to the sharing device being located in the preset return area, and send to the sharing device information allowing the sharing device to be returned. In some embodiments, the transmission module 430 may also send the number and location information of the shared device to the terminal of the manager (for example, the user terminal 130), so that the manager can maintain the shared device. In some embodiments, the transmission module 430 may also send an information prompt to the user corresponding to the shared device based on the positional relationship between the shared device and the preset area. In some embodiments, the information prompt may reflect the location relationship between the shared device and the preset area and/or the charging policy of the shared device. In some embodiments, the charging policy of the shared device may include a first charging policy and a second charging policy. The first charging policy indicates a charging policy when the shared device is located in a first preset area; the second charging policy indicates a charging policy when the shared device is located in a third preset area. In some embodiments, the first charging policy includes a free use policy and/or a preferential use policy corresponding to the user behavior.

In some embodiments, the transmission module 430 may determine the first charging policy in the following manner: obtain the minimum distance between the location of the shared device and the boundary location point of the first preset area; The mapping relationship of the charging strategy determines the first charging strategy corresponding to the minimum distance.

In some embodiments, the transmission module 430 may further include a first sending unit 433, a second sending unit 435, and a third sending unit 437. The first sending unit 433 can be used to send first prompt information to the user when the shared device is located in the first preset area and the first preset condition is met; the second sending unit 435 can be used to send first prompt information to the user when the shared device is located in the second preset area. When the area meets the second preset condition, send second prompt information to the user; the third sending unit 437 may be configured to send third prompt information to the user when the sharing device is located in the third preset area. Wherein, the first preset area is the preset return area, the second preset area is an area where sharing devices are prohibited from being placed, and the third preset area is the first preset area and the The area outside the second preset area.

The training module 440 may be used to train learning models, for example, a first learning model and a second learning model. In some embodiments, the training module 440 may construct a training data set, perform feature extraction on the data in the training data set to obtain first feature information; input the first feature information into the initial learning model for iterative training, and obtain the first feature information. Describe the first learning model. The training data set may include wireless signal information collected by multiple first shared devices that are the same as the shared device when they are returned in the preset return area, and multiple second shared devices that are the same as the shared device. Wireless signal information collected when the device is not returned in the preset return area. In some embodiments, the training module 440 may obtain the second characteristic information of the sample return area; determine the redundancy value corresponding to the sample return area according to the second characteristic information of the sample return area; according to the sample return area Performing model training on the second feature information of and the redundant value corresponding to the sample return area to obtain the second learning model.

In some embodiments, the second characteristic information of the sample return area may include road condition information and shared device information of the return area. In some embodiments, the road condition information of the return area may include at least one of the following information: the road width of the return area, the proportion of the residential area within a preset range of the return area, the distance between the return area and the nearest commercial area, and the return area. Historical traffic information in the area and the location characteristics of the return area. In some embodiments, the shared device information in the return area may include at least one of the following information: the number of shared devices in the return area, shared device outflow information in the return area, and shared device inflow information in the return area. Exemplarily, the training module 440 may determine the redundancy value corresponding to the sample return area according to the road condition information and the shared device information of the sample return area. In some embodiments, the second characteristic information of the sample return area may also include traffic control information of the return area. Exemplarily, the training module 440 may determine the maximum redundancy value corresponding to the sample return area according to the traffic control information of the sample return area; adjust the initial redundancy value according to the maximum redundancy value to obtain The redundancy value corresponding to the sample return area, and the redundancy value corresponding to the sample return area is less than or equal to the maximum redundancy value.

It should be understood that the processing device 400 and its modules shown in FIG. 4 may be implemented in various ways. For example, in some embodiments, the processing device 400 and its modules may be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. Those skilled in the art can understand that the above-mentioned methods and systems can be implemented using computer-executable instructions and/or included in processor control codes, for example on a carrier medium such as a disk, CD or DVD-ROM, such as a read-only memory (firmware Such codes are provided on a programmable memory or a data carrier such as an optical or electronic signal carrier. The system and its modules of this application can not only be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc. It may also be implemented by software executed by various types of processors, or may be implemented by a combination of the above hardware circuit and software (for example, firmware).

It should be noted that the above description of the processing device 400 and its modules is only for convenience of description, and does not limit this specification within the scope of the embodiments mentioned. It can be understood that for those skilled in the art, after understanding the principle of the system, it is possible to arbitrarily combine various modules, or form a subsystem to connect with other modules without departing from this principle. In some embodiments, the acquisition module 410, the processing module 420, the transmission module 430, and the training module 440 may be different modules in a system, or one module may implement the functions of the two or more modules mentioned above. In some embodiments, the acquisition module 410, the processing module 420, the transmission module 430, and the training module 440 may share a storage module, and each module may also have its own storage module. Such deformations are all within the protection scope of this specification.

Fig. 5 is an exemplary flowchart of a method for locating a preset area of a shared device according to some embodiments of the present application.

In some embodiments, the process 500 may be executed by a processing device (for example, the processing device 112 shown in FIG. 1). For example, the process 500 may be stored in a storage device (for example, the memory 150 or a storage unit of a processing device) in the form of a program or instruction. When the processor 210 or the module shown in FIG. 4 executes the program or instruction, the process 500 may be implemented. . In some embodiments, the process 500 may utilize one or more additional operations not described below, and/or not be completed by one or more operations discussed below. In addition, the order of operations shown in FIG. 5 is not restrictive. As shown in FIG. 5, the process 500 may include the following steps.

Step 510: Obtain signal information of the shared device. In some embodiments, step 510 may be performed by the acquisition module 410.

In some embodiments, shared devices may include, but are not limited to, shared bicycles, shared cars, shared skateboards, shared power banks, shared umbrellas, and other shared objects or devices. In some embodiments, the signal information of the shared device may include, but is not limited to, wireless signal information, location information, usage information, status information, user information, etc., of the shared device, or any combination thereof. For example, the wireless signal information may include wifi signal information, Bluetooth signal information, base station information, hotspot information, infrared signal information, etc. of the shared device. For another example, the location information may include GPS coordinate information, latitude and longitude information of the shared device, and so on. For another example, the usage information may include the total number of shared devices, the number in use, the available number, etc.; the status information may include whether the shared device has failures, failure conditions, maintenance conditions, and so on. In some embodiments, the wireless signal information may include wireless network name and/or wireless signal strength, for example, wifi signal name and wifi signal strength. In some embodiments, the location information may be the location information of the shared device.

In some embodiments, the processing device may obtain its signal information from the shared device. For example, the obtaining module 410 may receive the wifi signal list scanned by the wireless module of the sharing device 140, or the positioning information of the sharing device 140 obtained by the positioning device thereof. In some embodiments, the processing device may obtain the signal information of the shared device from the server. For example, the obtaining module 410 may obtain user information, location information, etc. corresponding to the shared device from the server 110. In some embodiments, the processing device may obtain the signal information of the shared device from the user terminal. For example, when the shared device is rented by the user, the obtaining module 410 may obtain the location information of the shared device from the user terminal 130. For another example, the obtaining module 410 may obtain user information, usage status information, status information, and the like of the shared device from the user terminal 130. In some alternative embodiments, the processing device can obtain the signal information of the shared device from any reasonable channel in any feasible way, which is not limited in this specification.

Step 520, based on at least the signal information, determine whether the shared device is located in a preset return area through a preset algorithm. In some embodiments, step 520 may be performed by the processing module 420.

The preset return area refers to the physical area designated by the shared service provider to return and/or place the shared device. For example, compliant parking spots for shared bicycles, designated return points for shared umbrellas, etc. In some embodiments, the geographic location and/or area range of the preset return area may be determined according to user needs, government regulations, road condition information, area information, etc., or any combination thereof. For example, the location of the preset return area can be determined according to the types of business districts, residences, and transportation stations in the area, and the area range of the preset return area can be determined according to the user's usage needs, demand, etc.

In some embodiments, the processing device may determine whether the shared device is located in the preset return area based on at least the wireless signal information of the shared device through a preset algorithm. Exemplarily, the processing module 420 may input the wireless signal information of the shared device into the first learning model to determine the probability that the shared device is located in the preset return area; when the probability of the shared device is located in the preset return area is greater than the first preset threshold When it is determined that the shared device is located in the preset return area. In some embodiments, the processing device may determine that the shared device is located outside the preset return area when the probability that the shared device is located in the preset return area is not greater than the first preset threshold; The user corresponding to the device sends a reminder message to prompt the user to search for the return area again. In some embodiments, the processing device may return the area recommendation information to the user based on the signal information of the shared device. For example, the processing module 420 may send return area recommendation information to the user of the shared device when the signal strength of the GPS signal information of the shared device is greater than the second preset threshold. For more information about determining whether the shared device is in the preset return area based on wireless signal information, please refer to other parts of this specification (for example, Figures 6-9 and related descriptions), which will not be repeated here.

In some embodiments, the processing device may determine whether the shared device is located in the preset return area based on the location information of the shared device through a preset algorithm. Exemplarily, the processing module 420 may obtain the second characteristic information of the preset return area corresponding to the location information of the shared device; at least according to the second characteristic information, determine the redundancy of the preset return area through a second learning model Value; determine the target return area according to the redundancy value; in response to the location of the shared device within the target return area, determine that the shared device is located in the preset return area. In some embodiments, the processing device may adjust the redundancy value corresponding to the preset return area based on the user information of the shared device, and determine the target return area according to the adjusted redundancy value and the preset return area. For more information about determining whether the shared device is in the preset return area based on the location information of the shared device, please refer to other parts of this manual (for example, Figures 10-12 and related descriptions), which will not be repeated here.

Step 530: In response to the shared device being located in the preset return area, allow the shared device to return. In some embodiments, step 530 may be performed by the transmission module 430.

In some embodiments, the processing device may send information allowing the return to the sharing device or the user terminal when the sharing device is located in the preset return area.

In some embodiments, the processing device may manage or maintain the shared device based on the return feedback of the shared device. For example only, the processing device 112 may receive return feedback from the user terminal 130 or the sharing device 140 that the shared device cannot be returned within the preset return area, the wireless signal information of the shared device has failed to be acquired, and the like, and review the return feedback. Pass, record the number and location information of the shared device; and send the number and location information of the shared device to the terminal of an administrator, so that the administrator can maintain the shared device.

In some embodiments, the processing device may record the error return times of the user of the shared device when the probability that the shared device is located in the preset return area is not greater than the first preset threshold and the return success information of the shared device is received. Increase by 1. In some embodiments, the processing device may determine the price for the user to use the same shared device or similar shared devices next time based on the number of error returns.

In some embodiments, the processing device may send an information prompt to the user corresponding to the shared device based on the location information of the shared device and the location relationship between the preset area. For example only, the transmission module 430 may send first prompt information to the corresponding user when the shared device is located in the first preset area and meets the first preset condition; when the shared device is located in the second preset area and meets the second preset condition, When the conditions are met, the second prompt information is sent to the corresponding user; when the shared device is located in the third preset area, the third prompt information is sent to the corresponding user. Wherein, the first preset area is the preset return area, the second preset area is an area where sharing devices are prohibited from being placed, and the third preset area is the first preset area and the The area outside the second preset area. For more information about the content of information prompts sent to users based on the location relationship between the shared device location information and the preset area, please refer to other parts of this manual (for example, Figures 13-14 and related descriptions), which will not be repeated here.

It should be noted that the foregoing description of the process 500 is only for example and description, and does not limit the scope of application of the present application. For those skilled in the art, various modifications and changes can be made to the process 500 under the guidance of this application. However, these amendments and changes are still within the scope of this application.

For ease of understanding, in the embodiments of this specification, the shared device is mainly a shared vehicle (for example, shared bicycle, shared motorcycle, shared car, etc.) as an example for description.

Fig. 6 is an exemplary flowchart of a method for locating a preset area of a shared device according to other embodiments of the present application.

At present, the global positioning system GPS is generally used to locate the parking point of shared bicycles to guide the user to park the vehicle in a virtual parking area (that is, the preset return area). However, GPS signals are susceptible to interference from buildings. For example, in urban areas with higher floors, GPS signals are affected by multipath effects, which will cause positioning deviations, which will result in vehicles not being able to accurately park in the parking area.

The method for locating the preset area of the shared device provided by the embodiment of this specification can obtain the wireless signal information of the shared vehicle when the return confirmation information is received; and input the wireless signal information into the target learning model (i.e., the first learning model), Obtain the probability that the current location of the shared vehicle is within the preset return area; if the probability that the current location of the shared vehicle is within the preset return area is greater than the first preset threshold, the shared vehicle is allowed to park at the current location and return. Therefore, in an environment where the GPS signal is weak or the GPS signal is interfered, it can be more accurately judged whether the current location of the shared vehicle is within the preset return area, and then the user can be restricted and reminded to return the car at a fixed point, reducing random parking The phenomenon of improving the appearance of the city.

In some embodiments, the process 600 may be executed by a processing device (for example, the processing device 112 shown in FIG. 1). For example, the process 600 may be stored in a storage device (for example, the memory 150 or a storage unit of a processing device) in the form of a program or instruction. When the processor 210 or the module shown in FIG. 4 executes the program or instruction, the process 600 may be implemented. . In some embodiments, the process 600 may utilize one or more additional operations not described below, and/or not be completed by one or more operations discussed below. In addition, the order of operations shown in FIG. 6 is not restrictive. As shown in FIG. 6, the process 600 may include the following steps.

Step 610: Obtain wireless signal information of the shared device. In some embodiments, step 610 may be performed by the obtaining module 410.

In some embodiments, the processing device may obtain the wireless signal information of the shared device when receiving the return confirmation information. For example, the processing device 112 may obtain the user return confirmation information of the shared vehicle from the user terminal 130, and obtain its wireless signal information from the wireless module of the shared vehicle in response to the information. In some embodiments, the processing device may receive the wifi signal list scanned by the wireless module of the sharing device, and the wifi signal list may include: the name of the wifi signal near the current location of the sharing device and the corresponding wifi signal strength.

Specifically, the wifi signals around the preset return area (for example, a parking spot) are often fixed, and each wifi signal covers a certain range. Therefore, the current location can be determined by the coverage of multiple wifi signals. For example, when the user clicks the vehicle return button at location A, the wireless module of the shared vehicle can scan to obtain a list of wifi signals at the current location. As shown in Figure 7, when the wireless module of the shared device is turned on, the surrounding wifi signals "HiWiFi", "WiFi_Office", "yijiangnan", etc. can be obtained through signal scanning. The processing device can receive the Wi-Fi signal list of the shared vehicle as a basis for data analysis.

In some embodiments, the processing device may confirm whether to acquire the wireless signal information of the shared device based on the GPS signal information of the shared device when receiving the return confirmation information. For example only, when the processing device 112 receives the information that the user returns the shared vehicle, it may first obtain the GPS signal information of the shared vehicle, and when it is determined based on the GPS signal information that the current location of the shared vehicle is not within the preset return area, or the preset time period When the GPS signal information fails to be acquired within (for example, 30 seconds, 1 minute, 2 minutes, etc.), the wireless signal information of the shared vehicle can be further acquired.

In some embodiments, the processing device may obtain wireless signal information of the shared device in response to user feedback information. For example, the processing device 112 may obtain the wireless signal information of the shared device when receiving user feedback such as return failure, positioning failure, or failure to return from the user terminal 130, and further determine the location of the shared device based on the wireless signal information.

Step 620: Input the wireless signal information of the shared device into the first learning model, and determine the probability that the shared device is located in the preset return area. In some embodiments, step 620 may be performed by the processing module 420.

In some embodiments, the processing device may input the wireless signal information of the shared device into the first learning model to obtain the probability value that the current location of the shared device is within the preset return area. For example only, the processing device 112 may take the wifi signal name and its corresponding signal strength in the wifi list scanned by the shared vehicle as input, input the trained target learning model, and the target learning model may output that the shared vehicle is located in the parking area. (That is, the preset return area) has a probability value of 0 or 1. Among them, 0 indicates that the shared device is not in the preset return area, and 1 indicates that the shared device is within the preset return area. In some embodiments, the output of the first learning model may be in other reasonable forms, for example, a probability value of 0-10, which is not limited in this specification.

In some embodiments, the processing device may sort the wireless signals scanned by the sharing device according to the signal strength, and filter the top N wireless signal information as the input of the first learning model. Wherein, N can be any positive integer, for example, 5, 8, 10, etc. Just as an example, after the processing device 112 receives a list of all wifi signals scanned by the wireless module of the shared vehicle, it can sort them based on the signal strength of each wifi in the list, and select the top 10 wifi, and name the wifi signal And the corresponding signal strength is used as input, and input the first learning model.

Since each preset return area may contain completely different wifi signals, each preset return area may correspond to the first learning model with different parameters. In some embodiments, the processing device may determine the estimated area based on the location information of the shared device, and determine the first learning model corresponding to the estimated area based on the estimated area.

In some embodiments, the first learning model may be a clustering model. For example, the first learning model may include, but is not limited to, clustering models such as K-means clustering, hierarchical clustering, and EM clustering.

In the embodiment of this specification, the question of whether the user returns the shared device in the preset return area is transformed into a single-sample detection problem in machine learning. The single-sample detection problem focuses on the characteristics of a group of data, and focuses on the problem of a group of data (for example, multiple wifi signal information scanned by a single shared device) in the preset return area. The accuracy rate judgment standard is also It is not a single category of the default return area. Therefore, by focusing on a single question of whether a group of data features are within the preset return area, the accuracy of judging whether the shared device is within the preset return area can be improved.

Step 630: Determine whether the probability that the shared device is located in the preset return area is greater than a first preset threshold. In some embodiments, step 630 may be performed by the judging unit 423.

The first preset threshold may be determined according to the model type of the first learning model. For example, when the first learning model is a supervised learning clustering model, the first preset threshold may be zero.

The processing device may perform step 633 when the probability that the shared device is located in the preset return area is greater than the first preset threshold, determine that the shared device is located in the preset return area, and allow the shared device to be returned at the current location; when the shared device is located When the probability within the preset return area is not greater than the first preset threshold, step 635 is executed to determine that the shared device is located outside the preset return area, and a reminder message is sent to the user corresponding to the shared device to prompt the user to search again Return the area.

In some embodiments, the processing device may send return area recommendation information to the user when the shared device is located outside the preset return area. For example only, the processing device 112 may obtain the GPS signal information of the shared device when it is determined that the shared device is located outside the preset return area; if the signal strength of the GPS signal information of the shared device is not greater than the preset strength (also called the second preset) Set threshold), the user is prompted to move to an open area; if the signal strength of the GPS signal information of the shared device is greater than the preset strength, the location information of the shared device is obtained; based on the location information, the user is recommended to return to the preset that is closest to the location area.

Although GPS signals are susceptible to interference from buildings, for example, in urban areas with higher floors, GPS signals are affected by multipath effects, which can cause positioning errors. However, GPS signals can still be used for auxiliary positioning, and the nearest preset return area can be recommended to the user based on GPS signal positioning.

In some embodiments, the processing device may receive the return problem of the shared device feedback after sending the reminder to the user; review the return problem, and if the review is passed, record the number and location information of the shared device. Return problems may include, but are not limited to, failure to return within the preset return area, and failure to obtain wireless signal information. Exemplarily, the processing device may also send the number and location information of the shared device to the terminal of the maintenance personnel, so that the management personnel can repair/maintain the shared device.

In some embodiments, since the output of the first learning model is a probability value, it may not completely match the actual situation. For example, in the scenario of returning a shared vehicle, the user has actually driven the vehicle to the parking spot area, but due to the weak wireless signal of the vehicle, the scanned wifi signal list is inconsistent with the wifi signal list used during training. There is a situation where the car cannot be returned in the parking spot. For another example, the wireless module of the shared vehicle fails, and the surrounding wireless signals cannot be scanned. Therefore, the server platform provides a problem feedback window so that users can feedback problems to the server platform.

Specifically, the user can operate on the display interface of the shared device or the user terminal, submit a return question, and then feed the question back to the service platform. The processing device 112 of the service platform may review the received return feedback, and if the review is passed, record the number and location information of the shared device, so as to facilitate the dispatch of maintenance personnel for repair/maintenance of the shared device.

Figures 8 and 9 are schematic diagrams of display interfaces of the shared device/user terminal according to some embodiments of the present application. Take a shared vehicle as an example. As shown in Figure 8, the user can enter the feedback question on the display interface and add the question description "Cannot return the car in the parking spot" in the drop-down box. After the question description is edited, click Submit Question to complete the feedback . Further, as shown in FIG. 9, after the feedback question is submitted, the prompt message of "the question is submitted successfully" and the current status of the feedback processing will be displayed on the display interface. If the service platform is approved, it will display a “approved” reminder on the display interface. At this time, a “click to confirm return” button will appear on the display interface of the shared device/client. After the user clicks to confirm the return, you can The location completes the return of the shared vehicle. Further, after the shared vehicle is returned, the processing device 112 may send the number and location information of the shared vehicle to the terminal of the management personnel (for example, repair/maintenance personnel).

In some embodiments, if the probability that the current location of the shared device is within the preset return area is not greater than the first preset threshold, and the return success message of the shared device is received, the number of times of error return of the user corresponding to the shared device is recorded from Increase by 1; and adjust the price of the user's next use of the shared device or similar shared devices according to the number of times the user has returned the error.

In some embodiments, for example, in a shared vehicle scenario, although the processing device sends reminder information to the user, some users may still forcibly stop and return it in a non-preset return area. At this time, the processing device can track the user who uses the shared device. User information, recording the number of times the user has returned by mistake. According to the user's error return times, the price of the user's next use of the shared device is adjusted, thereby restricting the user to complete the return within the preset return area as much as possible.

In the embodiment of this specification, the wireless signal information of the shared device is acquired when the return confirmation information is received; the wireless signal information is input into the first learning model to obtain the probability that the current location of the shared device is within the preset return area; The probability that the current location of the device is in the preset return area is greater than the first preset threshold, and the shared device is allowed to be returned at the current location. Therefore, in an environment where the GPS signal is weak or the GPS signal is interfered, it can be more accurately judged whether the current location of the shared device is within the preset return area, and the user can be restrained and reminded to return at a fixed point, reducing random parking/arrangement phenomenon.

It should be noted that the foregoing description of the process 600 is only for example and description, and does not limit the scope of application of the present application. For those skilled in the art, various modifications and changes can be made to the process 600 under the guidance of this application. However, these amendments and changes are still within the scope of this application.

Fig. 10 is an exemplary flowchart of a method for determining a first learning model according to some embodiments of the present application.

In some embodiments, the process 700 may be executed by a processing device (for example, the processing device 112 shown in FIG. 1). For example, the process 700 may be stored in a storage device (for example, the memory 150 or a storage unit of a processing device) in the form of a program or instruction. When the processor 210 or the module shown in FIG. 4 executes the program or instruction, the process 700 may be implemented. . In some embodiments, the process 700 may utilize one or more additional operations not described below, and/or not be completed by one or more operations discussed below. In addition, the order of operations shown in FIG. 10 is not restrictive. In some embodiments, the process 700 may be executed by the training module 440. As shown in FIG. 10, the process 700 may include the following steps.

Step 710: Construct a training data set.

In some embodiments, the training data set may include wireless signal information collected when multiple first shared devices are returned in a preset return area, and when multiple second shared devices are not returned in the preset return area The collected wireless signal information. In some embodiments, the first sharing device and the second sharing device may be the same sharing devices as in the process 600, and the first sharing device and the second sharing device may be completely the same, or completely different or partially the same. For example, the training data set may include the wireless signal information collected when the first shared vehicle parks in the parking area, and the second shared vehicle that is the same, or partially the same as, or different from the first shared vehicle is not in the parking area. Wireless signal information collected when parking.

In some embodiments, the training data set may only include wireless signal information collected when multiple shared devices are returned in the preset return area. In some embodiments, the processing device may determine whether the shared device is returned within the preset return area based on the location information of the shared device. For example, when the processing device 112 determines that the shared device is in the preset return area based on the GPS signal information of the shared device, the collected wireless signal information may be acquired as a training data set.

In some embodiments, the training module 440 may divide the training data set into training samples and test samples. The training sample can be used to input the initial learning model for training, and the test sample can be used to test the trained learning model to obtain the first learning model with higher accuracy. Just as an example, a training data set can be constituted by a large number of collected WiFi lists each time a user returns a shared device in the preset return area, where the ratio of training samples to test samples can be 8:2, or 6:4, or 7:3 and so on. In some embodiments, the processing device may use all training data sets as training samples, and additionally collect a large amount of wireless signal information of shared devices in the preset return area corresponding to the training data sets as test samples.

Step 720: Perform feature extraction on the data in the training data set to obtain first feature information.

In some embodiments, the first characteristic information may include the name and signal strength of the wireless signal. For example, a certain training sample may include: WiFi name HiWiFi, unique identification 2F426030-0A6C-4012-9259-59E533D2E970, signal strength -90dBm.

Step 730: Input the first feature information into an initial learning model for iterative training to obtain the first learning model.

In some embodiments, the first feature information may be input to the initial learning model for iterative training, until the probability of the output of the trained initial learning model correctly reflects whether the shared device is returned within the preset return area, and the first learning model is obtained. model. In some embodiments, a test set can be used to test the predicted result of the trained initial learning model. When the model output result is consistent with the real result, it is considered that the output probability can correctly reflect whether the shared device is returned within the preset return area. In some embodiments, the first learning model may be generated when the accuracy of the trained initial learning model on the test set prediction result is greater than the preset value. For example, in the prediction results of each test set of the trained initial learning model, when the number of prediction results consistent with the real results accounts for 80% of the total number of tests, the first learning model is generated.

In some embodiments, for each preset return area, a corresponding training data set may be formed separately, and the initial learning model may be input to perform iterative training to obtain a first learning model that matches each preset return area.

For example only, the initial learning model may be a clustering model, the data set input to the initial learning model may be the first feature information of the wireless signal information of the shared device returned in the preset return area, and the clustering model may be based on the input training The sample undergoes supervised learning, and then the commonality of the wireless signal information of the shared device returned in the preset return area is obtained, and the first learning model is obtained. When in use, the first learning model can calculate the similarity between the input wireless signal information and the learned wireless signal information in the corresponding preset return area. If it is similar, the output is 1, and if it is not, the output is 0. For example, for the wireless signal information input to the first learning model, the first learning model can calculate the similarity between each wireless signal information and the corresponding wireless signal information of the corresponding preset return area obtained by learning. When the wireless signal information is input When the same data amount between the corresponding wireless signal information learned by the first learning model is greater than 90%, it is determined that the wireless signal is similar to the corresponding wireless signal, otherwise it is determined that the wireless signal is not similar to the corresponding wireless signal. Further, the first learning model can output 1 when the number of input wireless signal information is similar to the corresponding wireless signal information learned by the first learning model, which accounts for 80% of the total amount of all input wireless signal information. It means that the input wireless signal information is similar to the wireless signal information of the preset return area, and the shared device is in the preset return area, otherwise the output of the first learning model will be 0. It is understandable that the numerical values in the above examples are for illustration only, and those skilled in the art can reasonably adjust one or more of the numerical values according to actual scenarios.

It should be noted that the foregoing description of the process 700 is only for example and description, and does not limit the scope of application of the present application. For those skilled in the art, various modifications and changes can be made to the process 700 under the guidance of this application. However, these amendments and changes are still within the scope of this application.

Fig. 11 is an exemplary flowchart of a method for locating a preset area of a shared device according to other embodiments of the present application.

In this embodiment, the processing device may obtain the second feature information of the preset return area corresponding to the return location of the common device, and use the pre-trained redundancy model (also called the second learning model) of the preset return area to determine the preset return area. Set the redundancy value corresponding to the return area, thereby determine the target return area according to the preset return area and its redundancy value, and determine whether the current location of the shared device is within the preset return area based on the target return area. By calculating the return redundancy value corresponding to the preset return area, and jointly determine the target return area based on the redundancy value and the preset return area, the scope of the shared device return can be effectively expanded, thereby improving the efficiency of the user returning the shared device and improving the user experience.

In other embodiments, the processing device can adjust the redundancy value of the user in the preset return area predicted by using the redundancy model according to the user information corresponding to the shared device, which can make the calculated redundancy value flexible Higher and more user-friendly, which can effectively improve the user experience.

In some embodiments, the process 800 may be executed by a processing device (for example, the processing device 112 shown in FIG. 1). For example, the process 800 may be stored in a storage device (for example, the memory 150 or a storage unit of a processing device) in the form of a program or instruction. When the processor 210 or the module shown in FIG. 4 executes the program or instruction, the process 800 may be implemented. . In some embodiments, the process 800 may utilize one or more additional operations not described below, and/or not be completed by one or more operations discussed below. In addition, the order of operations shown in FIG. 11 is not restrictive. As shown in FIG. 11, the process 800 may include the following steps.

Step 810: Acquire second characteristic information of the preset return area corresponding to the location information of the shared device. In some embodiments, step 810 may be performed by the acquisition module 410 or the processing module 420.

In some embodiments, the location of the shared device may be the location when the user returns the shared device. Taking a shared vehicle as an example, the location information of the shared device can be the user's return location, which can refer to the place where the return is allowed, and the user can return the vehicle at any location within the preset return area. The preset return area corresponding to the return location can be determined according to the return location of the user. For example, the user's return location is mall A, and the preset return area (ie, the preset return area) corresponding to business A is the square at the entrance of mall A, then according to the correspondence between the return location and the preset return area , The preset return area corresponding to the user's return location can be determined. In some embodiments, the location of the shared device may be the real-time location of the shared device, for example, the location of the shared device obtained by real-time tracking of the positioning device of the shared device.

In some embodiments, the processing device may obtain the location information of the shared device through the user terminal, thereby obtaining the second characteristic information corresponding to the preset return area. For example, the processing device 112 may obtain the user's current return location corresponding to the user through the user terminal 130, and determine the preset return area corresponding to the return location according to the user's current return location, so as to obtain the second return area of the preset return area. 2. Feature information. In some embodiments, the processing device may obtain its location information through the sharing device, thereby obtaining the second characteristic information corresponding to the preset return area. For example, the processing device 112 may obtain its current location through the positioning device of the sharing device 140, and determine the corresponding preset return area according to the current location, so as to obtain the second characteristic information of the preset return area.

Optionally, the second characteristic information of the preset return area may be obtained in real time from a server background database (for example, the storage 150, the storage 220, etc.) or other databases. In some embodiments, the second characteristic information may include location information, road condition information, shared device information, traffic control information, user information, time information, etc., of the preset return area, or any combination thereof.

Step 820: Determine the redundancy value of the preset return area through a second learning model according to the second characteristic information. In some embodiments, step 820 may be performed by the processing module 420 (for example, the judgment unit 423).

In some embodiments, the second feature information of the preset return area corresponding to the shared device location information obtained in step 810 may be input into the pre-trained second learning model, so that the second feature information of the preset return area can be returned according to the preset. Second, the corresponding relationship between the characteristic information and the redundant value, and the redundant value corresponding to the preset return area is calculated. In some embodiments, the input of the second learning model may be the second characteristic information of the preset return area, and the output may be the redundant value corresponding to the preset return area. For example, the union of all the second feature information of the preset return area can be used as the input of the second learning model, and the second learning model can be based on the mapping relationship between the second feature information learned in the training process and the redundant value. The redundant value corresponding to the input second feature information is determined and output. In some embodiments, the output redundancy value may be an area name around the preset return area, or a distance value that the preset return area can expand, which is not limited in this specification.

In some embodiments, the second learning model may be any model capable of implementing multiple classifications. For example, the second learning model can be composed of a multi-layer convolutional neural network (Convolutional Neural Network, CNN) and a multi-layer fully connected network; or, the second learning model can be composed of a multi-layer CNN residual network and a multi-layer fully connected network constitute. For example, the second learning model may be a network structure model composed of a 5-layer CNN residual network and a 3-layer fully connected network. The second learning model can build a residual network based on the CNN network to extract the hidden features of the second feature information, and then use the multilayer fully connected network to map the hidden features output by the residual network, and finally, transmit via the flexible maximum The classification and recognition result obtained by the function (softmax) classification output is the redundant value corresponding to the second feature information.

For example only, the preset return area may have at least one related area. For example, the preset return area is the drop-off point of shopping mall A, and at least one related area thereof may include a rest area of shopping mall A, a temporary parking point P of shopping mall A, and so on. Correspondingly, the classification and recognition result of the second learning model may include each relevant area of the preset return area, and the probability that the relevant area is set as a redundant return area of the preset return area. For example, the multi-classification result may include a 70% probability that the rest area of the mall A is set as a redundant return area, and a 10% probability that the temporary parking spot P is set as a redundant return area. In some embodiments, a classification recognition result with a probability greater than a certain threshold may be determined as the final output (ie, redundant value) of the second learning model.

The redundant value may be the peripheral area of the preset return area determined according to the road condition information, shared equipment information, traffic control information, user information, time information, etc. of the preset return area, or the distance that the preset return area can extend to the periphery. By obtaining the redundancy value of the preset return area, the size of the preset return area can be further expanded, effectively avoiding the problem of low user return efficiency caused by the limitation of the area of the return area, and affecting user experience.

In some embodiments, for the same preset return area, different user information has different corresponding redundancy values. For example, the higher the user's reputation score and the higher the fixed-point return rate, the greater the redundancy value of the user in the preset return area. In some embodiments, for different preset return areas, between any two preset return areas, if any of their location information, road condition information, shared equipment information, traffic control information, time information, etc. If they are different, the redundancy values corresponding to the two preset return areas are different. Just as an example, when the road width of the preset return area is wider, the residential area within the preset range occupies a larger area, the distance to the nearest commercial area is closer, the historical flow of people is larger, the location is close to the community, the company, etc. When the flow of people is large, the corresponding redundancy value is larger; on the contrary, the redundancy value corresponding to the preset return area is smaller.

In some embodiments, the second characteristic information of the preset return area may be collected in real time, and there may be dynamically changing characteristic information, such as shared device usage characteristics. Therefore, the same preset return area corresponds to different time periods. The redundancy value of can be different. Take the shared vehicle as an example. When the morning and evening peaks occur, the redundancy value corresponding to the preset return area A may be larger, so as to satisfy more users to return the vehicle smoothly; and when the time period between morning and evening peaks, users use the car The frequency of parking is small, and the redundancy value corresponding to the preset return area A may also be small at this time. Through the setting of the dynamic redundancy value, the flexibility of the preset return area corresponding to the user can be made more flexible, and the return demand of the user can be more satisfied, and the return efficiency and experience of the user can be improved.

Step 830: Obtain user information corresponding to the shared device. In some embodiments, step 830 may be performed by the acquisition module 410 or the processing module 420.

In some embodiments, the redundancy values corresponding to different users in the same preset return area may also be different. In order to make the user's corresponding redundancy values in the preset return area predicted by the second learning model more accurate, In this embodiment, the redundancy value corresponding to the preset return area predicted by the second learning model can also be adaptively adjusted according to the user's personal information, so that the calculation result of the redundancy value is more humane and improves User experience.

Optionally, the processing device may obtain user information through a user terminal (for example, the user terminal 130). In some embodiments, the user information may include, but is not limited to, the user's credit information, and/or the user's historical order information. Among them, the user's credit information may include the user's credit score for using the shared device. For example, in the shared vehicle scenario, the user returns the car to the designated return area (ie, the preset return area) after using the car, and the corresponding car reputation score is higher; on the contrary, the user does not return the car to the designated return area after using the car In the area where the car is returned, the car will be parked in disorder, the lower the car reputation score will be. The user's historical order information may be the historical information of the user's use of the shared device. For example, the user's car order amount information, and the user's car order amount information at a designated location (ie, a preset return area). According to the user's car order quantity information and the user's car order quantity information at a designated location, the user's fixed-point return rate can be calculated.

Step 840: Adjust the redundancy value corresponding to the preset return area according to the user information to obtain the adjusted redundancy value. In some embodiments, step 840 may be performed by the processing module 420.

In some embodiments, the higher the user's reputation score and the higher the fixed-point return rate, the greater the redundancy value of the corresponding preset return area. Just as an example, the user’s reputation score can be determined based on the user’s credit information, and the user’s fixed-point return rate can be determined based on the user’s historical order information. When the user’s reputation score is high and the fixed-point return rate is high (for example, the average value is greater than the preset value) ), appropriately increase the redundancy value of the corresponding preset return area; when the user reputation score and/or fixed-point return rate are small (for example, the average value is less than the preset value), appropriately reduce the redundancy of the preset return area value. In some embodiments, a corresponding redundancy value adjustment strategy can be preset according to user information. Exemplarily, when the reputation score is greater than 5 and the fixed-point return rate is less than 5, the redundancy value is increased by 0-50 meters; when the reputation score and the fixed-point return rate are both less than 5, the redundancy value is reduced by 0-200 meters, or The redundancy value is adjusted to 0; when the reputation score and the fixed-point return rate are both greater than 5, the redundancy value is increased by 50-200 meters.

According to the user information, the user's redundant value in the preset return area predicted by the second learning model is adjusted, which can make the calculated redundant value more flexible and more user-friendly, which can effectively improve the user's Experience degree.

Step 850: Determine the target return area according to the adjusted redundancy value. In some embodiments, step 850 may be performed by the processing module 420.

In some embodiments, the preset return area and the adjusted redundant values corresponding to the preset return area may be accumulated to obtain the target return area. For example, if the user's preset return area in mall A is the square at the entrance of mall A, and the calculated redundancy value is the rest area at the entrance of mall A, then the user returns to the target area corresponding to mall A (ie, the target return area) ) Is: the square at the entrance of mall A and the rest area at the entrance of mall A. In some embodiments, the redundant value of the preset return area may be a distance value, and the processing device may determine the range of the target return area based on the redundant value. For example, the preset return area is the square at the entrance of A mall, and the calculated redundancy value is 200 meters, then the area after the square at the entrance of A mall extends 200 meters forward can be determined as the target return area.

Step 860: In response to the location of the shared device being within the target return area, determine that the shared device is located within the preset return area.

In some embodiments, the location of the shared device may be compared with the calculated target return area to determine whether the shared device is within the target return area. For example, the user's return location obtained in the above embodiment can be compared with the calculated target return area to determine whether the user return location is within the target return area, when the user return location is within the target return area To confirm that the user's return location is within the preset return area.

In some embodiments, it may be determined whether to perform scheduling according to whether the user sharing device is returning the content in the preset area. Taking shared vehicles as an example, if the user's return location is within the target return area, the user's return location will not be dispatched; if the user's return location is not within the target return area, the user's return location will be dispatched . Wherein, performing return scheduling on the user's return location may include: determining the return location of the user's vehicle return scheduling data, for example: return scheduling fee.

Optionally, in order to enable the user to return the vehicle to the target return area (that is, the target return area), avoiding the vehicle return scheduling fee. When the user returns the car, the processing device may display on the user terminal (for example, the user terminal 130) or the sharing device (for example, the sharing device 140) display interface to display whether the user's return position is within the target return area. In some embodiments, it may be displayed in the form of information prompts. For example, after the user returns the car, the information that the current return location is in the target return area or that the current return location is not in the target return area is fed back to the user. In some embodiments, it can be displayed in the form of a map, which is intuitive, easy to understand when driving, and is helpful for safe riding. For example, a map can be displayed on the display interface of the terminal device. The map can include the target return area and the current return location, and display whether the current return location is within the target return area in real time. In this way, when the user sees the prompt information displayed on the interface of the terminal device and determines that the return location is not in the target return area, the return location can be adjusted so that the return location is within the target return area. In some embodiments, the above-mentioned map containing the positional relationship between the target return area and the current return location may be displayed on the display interface of the shared device (for example, shared vehicle).

It can be understood that the foregoing embodiment is only an example, and the method provided in this embodiment is not limited to different types of shared vehicles such as shared bicycles, shared electric vehicles, and shared cars. For, for example, shared power banks, shared umbrellas and other shared devices that need to be returned at a fixed point, the method of this embodiment can be used to determine the redundancy value of the shared device in the preset return area, so as to expand the scope of return of the shared device and reduce user adjustments. The number of times to return the location, improve the user return efficiency and return experience.

It should be noted that the foregoing description of the process 800 is only for example and description, and does not limit the scope of application of the present application. For those skilled in the art, various modifications and changes can be made to the process 800 under the guidance of this application. However, these amendments and changes are still within the scope of this application. For example, in steps 830-850, the processing device may not adjust the redundancy value obtained by the second learning model, and directly determine the target return area based on the predicted redundancy value of the preset return area and the preset return area. For another example, in step 860, the processing device may respectively compare the location of the shared device with the preset return area and the redundancy value of the preset return area to determine whether the shared device is within the preset return area.

Fig. 12 is an exemplary flowchart of a second learning model determination method according to some embodiments of the present application.

In some embodiments, the process 900 may be executed by a processing device (for example, the processing device 112 shown in FIG. 1). For example, the process 900 may be stored in a storage device (for example, the memory 150 or a storage unit of a processing device) in the form of a program or instruction. When the processor 210 or the module shown in FIG. 4 (for example, the training module 440) executes the program or When instructed, the process 900 can be implemented. In some embodiments, the process 900 may utilize one or more additional operations not described below, and/or not be completed by one or more operations discussed below. In addition, the order of operations shown in FIG. 12 is not restrictive. As shown in FIG. 12, the process 900 may include the following steps.

Step 910: Acquire second characteristic information of the sample return area.

In some embodiments, the second characteristic information of the sample return area may be obtained from the server background database (for example, the memory 150, the access device 220, etc.). In some embodiments, the second characteristic information of the sample return area may include road condition information and shared device information of the return area.

In some embodiments, the road condition information of the return area may include, but is not limited to, the width of the road in the return area, the proportion of the residential area within a preset range of the return area, the distance between the return area and the nearest commercial area, and the area within the return area. Historical traffic information, location characteristics of the return area, etc., or any combination thereof.

Optionally, the return area (for example, the car return area) is the proportion of the residential area within a preset range. In this implementation, the preset range may be 1 km, that is, a sample (or preset) return area is obtained Proportion of residential area within 1 kilometer nearby. It can be understood that the preset range may not be limited to 1 km, but the value of the preset range cannot be too large. When the value is too large, the reference meaning of the data will be too small. The location feature of the return area may be the geographic feature of the location of the return area, for example, the door of a community or the door of a company.

Optionally, the wider the road width of the angelica return area, the larger the residential area within the preset range, the closer the distance to the nearest commercial area, the greater the historical flow of people, the closer the location to the community, the greater the flow of people from companies, etc. Larger places, the greater the redundancy value of the corresponding sample return area or the preset return area. On the contrary, the redundant value of the sample return area or the preset return area is smaller.

In some embodiments, the shared device information in the return area may include, but is not limited to, the number of shared devices in the return area, the outflow information of shared devices in the return area, the inflow information of shared devices in the return area, etc., or any combination thereof. When the number of shared devices in the sample return area is large and the inflow and outflow of shared devices is more frequent, the corresponding redundant value of the sample return area is also greater.

In some embodiments, the second characteristic information of the sample return area may also include time information. For different time periods, the redundancy value of the same sample return area can also be different. For example: during peak hours, users use and return cars more frequently, and the corresponding redundancy values can be larger.

In some embodiments, the second characteristic information of the sample return area may also include traffic control information. Among them, the traffic control information can be determined based on information such as the location feature and road feature of the return area.

It can be understood that the second feature information of the returned area may not be limited to the above list, but may also include more types of feature information. The more reference feature information, the accuracy of the redundant model obtained by training (ie, the second learning model) higher.

Step 920: Determine the redundancy value corresponding to the sample return area according to the second feature information of the sample return area.

In some embodiments, the redundant value corresponding to the sample return area can be calculated according to the second characteristic information of the sample return area, and the mapping relationship between the second characteristic information of the sample return area and the redundant value corresponding to the sample return area can be constructed.

In some embodiments, the initial redundancy value corresponding to the sample return area may be determined according to the acquired road condition information and shared device information of the sample return area. According to different road condition information and shared equipment information, the initial redundancy value of the determined sample return area is different. For example, taking a shared vehicle as an example, the wider the road in the return area, the more vehicles flow in, the greater the possibility of returning the car in the return area after the user's car is returned, and the correspondingly, the greater the initial redundancy value obtained , To meet the needs of users to return the car.

In some embodiments, the aforementioned determined initial redundancy value may be adjusted based on the traffic control information, and the adjusted redundancy value is used as the redundancy value corresponding to the sample return area. Taking shared vehicles as an example, the determined initial redundancy value is adjusted based on the traffic control information, and the adjusted redundancy value is used as the redundancy value corresponding to the sample return area, which can ensure the reasonableness and reasonableness of the redundancy value corresponding to the return area. And meet the conditions in line with road traffic planning.

Specifically, the maximum redundancy value corresponding to the sample return area can be determined according to the traffic control information; the initial redundancy value is adjusted according to the maximum redundancy value to obtain the redundancy value corresponding to the sample return area, and the redundancy value corresponding to the sample return area is obtained. The residual value is less than or equal to the maximum redundancy value. For different return areas, the corresponding maximum redundancy values can be different.

Optionally, if the initial redundancy value of the sample return area calculated above is greater than the maximum redundancy value, the initial redundancy value may be adjusted to the maximum redundancy value, and the maximum redundancy value is used as the redundancy value corresponding to the sample return area. Residual value. When the initial redundancy value of the sample return area is less than or equal to the maximum redundancy value, the initial redundancy value is taken as the redundancy value corresponding to the sample return area.

By using traffic control information to adjust the initial redundancy value corresponding to the sample return area, the determined redundancy value of the sample return area can be more accurate, so that the second characteristic information of the sample return area and the sample return The redundancy model obtained by training the redundancy value of the region has higher accuracy.

Step 930: Perform model training according to the second feature information of the sample return area and the redundancy value corresponding to the sample return area to obtain a second learning model.

The second feature information of the sample return area and the redundant value corresponding to the sample return area can be used as the input of the model, and the model training can be performed to obtain the redundant model (ie, the second learning model). Therefore, according to the mapping relationship between the second feature information of the sample return area and the redundant value corresponding to the sample return area possessed by the redundancy model, the redundancy value of any preset return area can be predicted. Optionally, the sample return area may include multiple, and the redundancy model may be obtained by training according to the second feature information of each sample return area and the corresponding redundancy value.

In some embodiments, the road condition information and shared device information of the sample return area, and the determined redundancy value corresponding to the sample return area can be used as input to train to obtain the redundancy model.

Optionally, the above-mentioned model training method is a conventional model training method, and the specific process of model training will not be described in detail. For different application fields, the input of model training can be sample data corresponding to the application field.

It should be noted that the foregoing description of the process 900 is only for example and description, and does not limit the scope of application of the present application. For those skilled in the art, various modifications and changes can be made to the process 900 under the guidance of this application. However, these amendments and changes are still within the scope of this application.

Fig. 13 is an exemplary flowchart of a method for locating a preset area of a shared device according to other embodiments of the present application.

In the method provided in this embodiment, the location information of the shared device can be obtained. When the location information is located in the first preset area, it is determined whether the minimum distance between the location information and the boundary location point of the first preset area meets the first preset area. If the conditions are met, the first prompt message can be sent to the user. The first prompt message is used to prompt the positional relationship between the location information and the first preset area. The first preset area is the preset return area of the shared device, so that the user of the shared device can prompt the user in advance when using the shared device, It is convenient for the user to adjust the use area according to the first prompt message, and furthermore, when placing the shared device, the shared device can be placed in the first preset area in a standardized manner, thereby achieving the purpose of standardizing user behavior and facilitating city management.

In some embodiments, the process 1000 may be executed by a processing device (for example, the processing device 112 shown in FIG. 1). For example, the process 1000 may be stored in a storage device (for example, the memory 150 or a storage unit of a processing device) in the form of a program or instruction. When the processor 210 or the module shown in FIG. 4 executes the program or instruction, the process 1000 may be implemented. . In some embodiments, the process 1000 may utilize one or more additional operations not described below, and/or not be completed by one or more operations discussed below. In addition, the order of operations shown in FIG. 13 is not restrictive. In the embodiment of the specification, the shared device is a shared bicycle as an example to describe the method provided in the present application. As shown in FIG. 13, the process 1000 may include the following steps.

Step 1010: Receive a shared device use instruction. In some embodiments, step 1010 may be performed by the obtaining module 410.

In some embodiments, the shared device use instruction may be an instruction sent by a user through a mobile terminal, a wearable device, or the like. For example, the user can scan the two-dimensional code of a certain shared device 140 through the user terminal 130, and send a use instruction (for example, an unlocking instruction) to the shared device. In some embodiments, after receiving the use instruction, the sharing device can obtain the location information of the sharing device, and send a corresponding message prompt to the user based on the location information. In some embodiments, after receiving the use instruction, the sharing device may transmit the use instruction and/or location information to a background server (for example, server 110), and the server processes and analyzes the location information to send the corresponding information to the user. Message prompt.

Step 1020: Obtain location information of the shared device according to the instruction for using the shared device. In some embodiments, step 1020 may be performed by the obtaining module 410.

In some embodiments, the shared device may be provided with a positioning device for obtaining location information, and the positioning device may use any one or a combination of positioning technologies such as GPS, GLONASS, COMPASS, etc., to achieve positioning. Therefore, the location information of the shared device can be acquired according to the positioning device. If the execution subject is the background server of the sharing platform, correspondingly, the sharing device can also send the location information to the server (for example, the server 110). In some embodiments, the location information of the shared device may be obtained through the positioning technology in the user terminal. For example, after the user scans the QR code on the sharing device 140 through the user terminal 130 and sends a use instruction, the current location of the user terminal can be obtained as the location information of the shared device through the positioning technology embedded in the user terminal 130. In some embodiments, the location information of the shared device may be the latitude and longitude coordinates of the shared device, or may be geocoding indicating the location.

In some embodiments, the location information of the shared device can be obtained through a navigation system. For example, the sharing device 140 may communicate with the navigation system through its own positioning device to obtain its own positioning information. In some embodiments, the shared device may actively send location information at different moments to the server, and the server may update the location information of the shared device in the server in real time after receiving the location information of the shared device. In some embodiments, the shared device can obtain corresponding positioning information in real time at different times to update the location information of the shared device in real time. In some embodiments, the different moments may refer to updating positioning information at a certain time interval. For example, the location information of the shared device can be obtained every 0.05 seconds. In some embodiments, different times may vary according to distance or client requirements. For example, when the distance between the shared device and the specified location is far, the location information of the shared device can be obtained every 0.1 second, and when the distance between the shared device and the specified location is close, it becomes shared once every 0.05 seconds. Location information of the device. In some embodiments, the location information of the shared device received by the server may be stored in the storage medium first, and the location information of the shared device may be updated at a custom frequency different from the acquisition frequency. For example, if the server obtains the location information of the shared device at intervals of 0.05 seconds, the obtained location information can be stored first, and the location information of the shared device is updated in the server every 0.1 second.

In some embodiments, the location information may include location information of the shared device and timing information corresponding to the location information. In some embodiments, the location information may be the latitude and longitude coordinates of the shared device, or may be geocoding indicating the location. In some embodiments, each location information has timing information corresponding to it. For example, the corresponding time of the location information, or the sorting of a group of location information in the order of time before and after. In some embodiments, the latest positioning information may be obtained according to the timing information, and the positioning information may be updated.

Step 1030: If the shared device is located in the first preset area and meets the first preset condition, send first prompt information to the user. In some embodiments, step 1030 may be performed by the transmission module 430.

The first preset area may be a preset return area of the shared device. Depending on the type of shared device and the area where the shared device is placed, different preset return areas can be corresponded to. For example, when the shared device is a shared bicycle, correspondingly, the first preset area can be the operating area where the shared bicycle is placed, that is, a compliant parking area; when the shared device is a shared power bank, correspondingly, the first preset area is Share the return location of the power bank.

In some embodiments, the first preset condition may be a preset position difference condition, for example, it may be less than a certain first preset range. The first preset range can be any reasonable value, for example, 1 km, 2 km, 3 km, etc. This application does not limit the first preset range here, and may be different according to actual application scenarios.

The first prompt information may be used to prompt the position relationship between the location information of the shared device and the first preset area. For example only, if the location information of the shared bicycle is located at the boundary of the first preset area, for example, the distance of the shared bicycle’s location from the boundary of the first preset area is less than the first preset range (for example, the closest to the first preset area). The boundary distance is less than 3 kilometers), it will prompt "Be careful not to ride out of the first preset area". After receiving the prompt message, the cycling user of the shared bicycle will pay attention to his riding route when using the shared bicycle. Then, when parking, the shared bicycle can be parked in the first preset area. Set the return area.

As above, in this embodiment, by determining whether the minimum distance between the location information of the shared device and the location information in the first preset area meets the first preset condition, the corresponding first prompt message can be given. For example, when the shared equipment is a shared bicycle, the first preset area is a compliant parking area for shared bicycles, and the first preset condition is less than 3 kilometers, the minimum distance between the location information of the shared bicycle and the boundary position of the parking area can be determined. Whether the distance is within 3 kilometers, if so, the first prompt message can be sent to the cycling user of the shared bicycle, then the cycling user can adjust his riding route according to the first prompt message when using the shared device, and then When placing shared bicycles, the shared bicycles can be parked in the first preset area in a standardized manner to achieve the purpose of giving user prompts in advance, standardizing user behavior, and facilitating centralized management by managers of shared equipment.

Step 1040: If the shared device is located in the second preset area and meets the second preset condition, send second prompt information to the user. In some embodiments, step 1040 may be performed by the transmission module 430.

The second preset area may be an area where shared equipment is prohibited. Taking shared bicycles as an example, correspondingly, the second preset area is a no-parking area (for example, a certain traffic artery). In some embodiments, the second preset condition may be less than a certain second preset range, for example, less than 2 kilometers. The embodiment of this specification does not limit the second preset range, and the second preset range can also be the same as the first preset range, and can be set by itself according to actual application scenarios.

The second prompt information may be used to prompt the position relationship between the location information of the shared device and the second preset area. For example only, if there is a no-parking area near the location information of the shared bicycle, for example, the location of the shared bike is less than the second preset range from the boundary of the nearest no-parking area (for example, the closest boundary to the second preset area is less than 2 Km), it will prompt "Be careful not to park in the second preset area" to remind the user in advance. When riding users of shared bicycles receive the second prompt message, they will pay attention to their riding routes when using the shared bicycles, so that they can avoid parking the shared bicycles in the second preset area when parking. As far as possible, the shared bicycles should be parked in the first preset area (that is, the preset return area) as much as possible, so as to achieve the purpose of regulating user behavior.

Step 1050: If the shared device is located in the third preset area, send third prompt information to the user. In some embodiments, step 1050 may be performed by the transmission module 430.

The third preset area is an area other than the first preset area and the second preset area. Taking shared bicycles as an example, correspondingly, the third preset area may be a compliant parking area and other areas other than the no-parking area.

The third prompt information may include at least one of the first charging policy of the shared device and the second charging policy of the shared device. Wherein, the first charging strategy indicates the charging strategy when the shared device is located in the first preset area, and the second charging strategy indicates the charging strategy when the shared device is located in the third preset area. The first charging strategy may be more favorable than the second charging strategy. In some embodiments, the first prompt information and the second prompt information may also include the first charging policy and/or the second charging policy of the shared device.

Just as an example, when a cycling user uses a shared bicycle, if it is determined that the location information of the shared bicycle is located in the third preset area, at least one of the following third prompt messages can be sent, for example: if the shared bicycle is parked When it reaches the first preset area, the usage fee of the shared device is charged according to the first charging policy corresponding to the first preset area; or, if the shared bicycle is parked in the third preset area, the The usage fee of the shared device is charged according to the second charging policy corresponding to the third preset area.

In some embodiments, the charging policy when the shared device is located in the third preset area may include an additional dispatch fee (for example, 5 yuan/hour). When the user returns the shared device, if the shared device is placed outside the preset return area, the manager needs to further schedule the shared device and place it in the preset return area. Just as an example, for a shared bicycle, if the cycling user uses it for 1 hour, the corresponding usage fee can be 2 yuan when the first charging strategy is used, and when the second charging strategy is used, the corresponding usage fee can be 2 yuan. The corresponding usage fee can be 7 yuan, so when using the shared bicycle according to the third prompt information, the riding user can encourage the riding user to park the shared bicycle to the first preset area for riding to the first extent. Standardize user behavior, and also facilitate the management of shared bicycles by managers.

It should be noted that in the embodiments of this specification, the division of the first preset area, the second preset area, and the third preset area is not restricted. According to the actual application area, the first preset area, the second preset area, and the second preset area are not limited. The preset area and the third preset area can be divided by itself. In addition, in the embodiments of this specification, the time for obtaining the location information of the shared device and sending the information prompt is not limited. For example, it may be obtained and sent every preset time, or it may be obtained and sent when the user requests it.

In some embodiments, the information prompt manner may include, but is not limited to, voice broadcast and/or text display.

It should be noted that when the execution subject is a server (such as server 110), the shared device can first obtain its own location information and then send it to the server. After the server obtains the location information of the shared device, if the server determines that the location information of the shared device is located When the first preset area meets the first preset condition, or is located in the second preset area and meets the second preset condition, or is located in the third preset area, the first prompt message or the second For the prompt information or the third prompt information, the shared device then displays the first prompt information, or the second prompt information, or the third prompt information to the user. For example, when the shared device has its own display screen, the user can view the corresponding prompt information through the display screen. Alternatively, the server may also determine that the location information of the shared device is located in the first preset area and satisfies the first preset condition, or is located in the second preset area and satisfies the second preset condition, or is located in the third preset area, Send the first prompt information, or the second prompt information, or the third prompt information to the service requester terminal (for example, the user terminal 130), and the service requester terminal then displays the first prompt message, or the second prompt information, or The third prompt information, and then the user can view the corresponding prompt information through the service requester terminal. In some embodiments, the server may obtain the location information of the shared device when receiving the user's service request, and send corresponding prompt information to the service requester according to the judgment result of the relationship between the location information and the location of the preset area. In some embodiments, the server may obtain the location information of the shared device every preset time (for example, every 10 minutes, every 20 minutes, every 30 minutes, etc.) after receiving the user’s request to use the car, and based on the location information The judgment result of the positional relationship with the preset area sends corresponding prompt information to the service requester.

When the execution subject is a shared device, the shared device can obtain its location information. If the shared device determines that the location information is located in the first preset area and meets the first preset condition, or is located in the second preset area and meets the second preset When the condition or is located in the third preset area, the shared device may display the first prompt information, or the second prompt information, or the third prompt information to the riding user. Or, when the sharing device determines that its location information is located in the first preset area and meets the first preset condition, or is located in the second preset area and meets the second preset condition, or is located in the third preset area, it can send the information to the server through the server. The service requester terminal sends the first prompt information, or the second prompt information, or the third prompt information, and then the service requester terminal may display the first prompt information, or the second prompt information, or the third prompt information to the user. The user can view the corresponding prompt message on the display interface of the shared device or the terminal of the service requester. That is, in the embodiments of the present specification, the execution subject of the above method is not limited, and the corresponding execution subject can be corresponded according to the actual application scenario.

It should be noted that the foregoing description of the process 1000 is only for example and description, and does not limit the scope of application of this application. For those skilled in the art, various modifications and changes can be made to the process 1000 under the guidance of this application. However, these amendments and changes are still within the scope of this application. For example, in step 1020, the user's destination may be estimated based on the use instruction and service request related information of the shared device, and the location information of the shared device may be obtained when the user is about to arrive at the destination, based on the location information and the first preset area , The positional relationship between the second preset area and the third preset area, and send corresponding prompt information to the user.

In some embodiments, the process 1100 may be executed by a processing device (for example, the processing device 112 shown in FIG. 1). For example, the process 1100 may be stored in a storage device (for example, the storage device 160 or a storage unit of a processing device) in the form of a program or instruction. When the processor 210 or the module shown in FIG. 4 executes the program or instruction, the process may be implemented. 500. In some embodiments, the process 1100 may utilize one or more additional operations not described below, and/or not be completed by one or more operations discussed below. In addition, the order of operations shown in FIG. 14 is not restrictive. Optionally, when the third notification information includes the first charging policy, as shown in FIG. 14, the process 1100 may include the following steps.

Step 1110: Obtain the minimum distance between the location of the shared device and the boundary location point of the first preset area. In some embodiments, step 1110 may be performed by the processing module 420 or the transmission module 430.

When the location information of the shared device is located in the third preset area, the minimum distance between the location of the shared device and the boundary point of the first preset area can be acquired.

Step 1120: Determine a first charging policy corresponding to the minimum distance according to the minimum distance and the mapping relationship between the preset distance and the charging policy. In some embodiments, step 1120 may be performed by the processing module 420 or the transmission module 430.

Optionally, the preset distance and the charging policy may include the following mapping relationship: for example, if a certain distance is less than the first preset distance, the corresponding charging policy may be X ₁ yuan/hour; greater than the first preset distance When the distance is less than the second preset distance, the corresponding charging policy can be X ₂ yuan/hour; when the distance is greater than the second preset distance and less than the third preset distance, the corresponding charging policy can be X ₃ Yuan/hour; when the distance is greater than the third preset distance, the corresponding charging strategy may be X ₄ Yuan/hour. Wherein the first predetermined distance <predetermined second distance <the third predetermined _{_{distance, X 1> X 2> X}} 3> X 4, i.e., the predetermined distance, corresponding to the toy can be charged. Based on this charging strategy, to a certain extent, users can be encouraged to place shared devices in the first preset area, so that user behaviors can be regulated, and it is also convenient for managers to manage shared devices.

When the third prompt message includes the first charging strategy, taking the shared bicycle as an example, the corresponding first charging strategy can be obtained according to the following method: if it is determined that the location information of the shared bicycle belongs to the location information in the third preset area , The minimum distance between the location information and the boundary location point of the first preset area can be obtained. After the minimum distance is obtained, the minimum distance can be determined according to the minimum distance and the mapping relationship between the preset distance and the charging strategy. Within the preset distance range, the first charging strategy corresponding to the minimum distance can be determined. For example, when the minimum distance is greater than the first preset distance and less than the second preset distance, the corresponding first charging policy is X ₂ yuan/hour.

In some embodiments, the first charging policy may also include a free use policy and/or a preferential use policy corresponding to the user behavior. For example, if the location information of a shared bicycle is located in the third preset area, then if the user rides the shared bicycle and stops in the first preset area, the user’s ride fee can be free of charge; or The user issues a corresponding cycling coupon, which can be a frequency coupon (for example, a 50% discount for two times) or a time coupon (for example, free within 1 hour). The free use strategy and/or the preferential use strategy can be set according to actual application scenarios, and this application is not limited here. In some embodiments, according to actual application scenarios, the shared device fee can be free of charge and a discount coupon can be issued at the same time. This application is not limited here, so as to encourage users to place the shared device in the first preset area. .

Just as an example, Table 1 provides a kind of reminder information for shared bicycles in this application. As shown in Table 1, corresponding reminders can be sent based on the location information of the shared bicycle. For example, if the minimum distance between the current location information of the shared bicycle and the boundary location point of the first preset area is within 3 kilometers, a prompt message can be given: "At the boundary of the parking area, be careful not to ride out of the parking area" to remind the user in advance , So that the user can adjust the use area according to the prompt information, and then when placing the shared bicycle, the shared bicycle can be placed in the parking area in a standardized manner to achieve the purpose of regulating user behavior.

Table I

It should be noted that the foregoing description of the process 1100 is only for example and description, and does not limit the scope of application of this application. For those skilled in the art, various modifications and changes can be made to the process 1100 under the guidance of this application. However, these amendments and changes are still within the scope of this application.

It should be noted that different embodiments may have different beneficial effects. In different embodiments, the possible beneficial effects may be any one or a combination of the above, or any other beneficial effects that may be obtained.

The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only an example, and does not constitute a limitation to this specification. Although it is not explicitly stated here, those skilled in the art may make various modifications, improvements and amendments to this specification. Such modifications, improvements, and corrections are suggested in this specification, so such modifications, improvements, and corrections still belong to the spirit and scope of the exemplary embodiments of this specification.

Meanwhile, this specification uses specific words to describe the embodiments of this specification. For example, "one embodiment", "an embodiment", and/or "some embodiments" mean a certain feature, structure, or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that “one embodiment” or “one embodiment” or “an alternative embodiment” mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. . In addition, some features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined.

In addition, unless explicitly stated in the claims, the order of processing elements and sequences, the use of numbers and letters, or the use of other names described in this specification are not used to limit the order of processes and methods in this specification. Although the foregoing disclosure uses various examples to discuss some embodiments of the invention that are currently considered useful, it should be understood that such details are only for illustrative purposes, and the appended claims are not limited to the disclosed embodiments. On the contrary, the rights are The requirements are intended to cover all modifications and equivalent combinations that conform to the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only by software solutions, such as installing the described system on an existing server or mobile device.

For the same reason, it should be noted that, in order to simplify the expressions disclosed in this specification and help the understanding of one or more embodiments of the invention, in the foregoing description of the embodiments of this specification, multiple features are sometimes combined into one embodiment. In the drawings or its description. However, this method of disclosure does not mean that the subject of the specification requires more features than those mentioned in the claims. In fact, the features of the embodiment are less than all the features of the single embodiment disclosed above.

In some embodiments, numbers describing the number of ingredients and attributes are used. It should be understood that such numbers used in the description of the embodiments use the modifier "about", "approximately" or "substantially" in some examples. Retouch. Unless otherwise stated, "approximately", "approximately" or "substantially" indicates that the number is allowed to vary by ±20%. Correspondingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, and the approximate values can be changed according to the required characteristics of individual embodiments. In some embodiments, the numerical parameter should consider the prescribed effective digits and adopt the method of general digit retention. Although the numerical ranges and parameters used to confirm the breadth of the ranges in some embodiments of this specification are approximate values, in specific embodiments, the setting of such numerical values is as accurate as possible within the feasible range.

For each patent, patent application, patent application publication and other materials cited in this specification, such as articles, books, specifications, publications, documents, etc., the entire contents are hereby incorporated into this specification as a reference. The application history documents that are inconsistent or conflict with the content of this specification are excluded, and the documents that restrict the broadest scope of the claims of this specification (currently or later appended to this specification) are also excluded. It should be noted that if there is any inconsistency or conflict between the description, definition, and/or use of terms in the accompanying materials of this manual and the content of this manual, the description, definition and/or use of terms in this manual shall prevail. .

Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, the alternative configuration of the embodiment of the present specification can be regarded as consistent with the teaching of the present specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

A method for locating a preset area of a shared device, which is characterized in that it includes:

Obtain the signal information of the shared device;

At least based on the signal information, determine whether the shared device is located in a preset return area through a preset algorithm;

In response to the sharing device being located in the preset return area, allowing the sharing device to return.
The method according to claim 1, wherein the signal information includes wireless signal information of the shared device;

The determining, based at least on the signal information, by the preset algorithm whether the shared device is located in the preset return area includes:

Input the wireless signal information of the shared device into the first learning model, and determine the probability that the shared device is located in the preset return area;

In response to the probability that the shared device is located in the preset return area is greater than a first preset threshold, it is determined that the shared device is located in the preset return area.
The method according to claim 2, wherein the wireless signal information includes wifi signal information;

The acquiring the signal information of the shared device includes:

Receive a wifi signal list scanned by the wireless module of the shared device, where the wifi signal list includes: wifi signal names and corresponding wifi signal strengths.
The method according to claim 2, wherein the first learning model is obtained by the following method:

Construct a training data set, the training data set includes: wireless signal information collected when a plurality of first shared devices that are the same as the shared device are returned in the preset return area, and a plurality of and the shared device Wireless signal information collected when the same second shared device is not returned in the preset return area;

Performing feature extraction on the data in the training data set to obtain first feature information;

The first feature information is input into an initial learning model to perform iterative training to obtain the first learning model.
The method according to claim 2, wherein the method further comprises:

In response to the probability that the shared device is located in the preset return area is not greater than the first preset threshold, determining that the shared device is located outside the preset return area; and

Send reminder information to the user corresponding to the sharing device to prompt the user to search for the return area again.
The method according to claim 5, wherein the method further comprises:

Acquiring GPS signal information of the shared device;

In response to the signal strength of the GPS signal information being greater than a second preset threshold, sending return area recommendation information to the user.
The method according to any one of claims 2-6, wherein the method further comprises:

Receiving return feedback of the shared device, where the return feedback includes: the shared device cannot be returned within the preset return area, and the wireless signal information acquisition fails;

The return feedback is reviewed, and if the review is passed, the number and location information of the shared device are recorded.
The method according to claim 7, wherein the method further comprises:

Send the number and the location information of the shared device to the terminal of the manager, so that the manager can maintain the shared device.
The method according to any one of claims 2-8, wherein the method further comprises:

In response to the probability that the shared device is located in the preset return area is not greater than the first preset threshold, and the return success message of the shared device is received, the number of incorrect returns of the user of the shared device is recorded and incremented by 1 ;as well as

According to the error return times, the price of the next shared device or similar shared device used by the user is determined.
The method according to claim 1, wherein the signal information includes location information of the shared device;

The determining whether the shared device is located in the preset return area at least based on the signal information by the preset algorithm includes:

Acquiring the second characteristic information of the preset return area corresponding to the location information of the shared device;

Determine the redundancy value of the preset return area through a second learning model at least according to the second characteristic information;

According to the redundancy value and the preset return area, determine whether the shared device is located in the preset return area.
The method according to claim 10, wherein the second learning model is obtained in the following manner:

Acquiring the second characteristic information of the sample return area;

Determine the redundancy value corresponding to the sample return area according to the second characteristic information of the sample return area;

Model training is performed according to the second feature information of the sample return area and the redundant value corresponding to the sample return area to obtain the second learning model.
The method according to claim 11, wherein the second characteristic information of the sample return area comprises: road condition information and shared device information of the return area;

The determining the redundancy value corresponding to the sample return area according to the second characteristic information of the sample return area includes:

Determine the redundancy value corresponding to the sample return area according to the road condition information and the shared device information of the sample return area.
The method according to claim 12, wherein the road condition information of the return area includes at least one of the following information: the road width of the return area, and the proportion of the residential area within a preset range from the return area , The distance between the return area and the nearest commercial area, the historical traffic information in the return area, and the location characteristics of the return area;

The shared device information of the return area includes at least one of the following information: the number of shared devices in the return area, the outflow information of shared devices in the return area, and the inflow information of shared devices in the return area.
The method according to claim 11, wherein the second characteristic information of the sample return area includes traffic control information of the return area;

The determining the redundancy value corresponding to the sample return area according to the second characteristic information of the sample return area includes:

Determine the maximum redundancy value corresponding to the sample return area according to the traffic control information of the sample return area;

According to the maximum redundancy value, the initial redundancy value is adjusted to obtain the redundancy value corresponding to the sample return area, and the redundancy value corresponding to the sample return area is less than or equal to the maximum redundancy value.
The method according to any one of claims 10-14, wherein the determining whether the shared device is located in the preset return area according to the redundancy value and the preset return area, include:

Acquiring user information corresponding to the shared device;

Adjusting the redundancy value corresponding to the preset return area according to the user information to obtain the adjusted redundancy value;

Determine the target return area according to the adjusted redundancy value and the preset return area;

In response to the location of the shared device being within the target return area, it is determined that the shared device is located within the preset return area.
The method according to claim 15, wherein the user information comprises: the user's credit information, and/or the user's historical order information.
The method according to claim 1, wherein the method further comprises:

Based on the positional relationship between the shared device and the preset area, an information prompt is sent to the user corresponding to the shared device.
The method according to claim 17, wherein the information prompt reflects the location relationship between the shared device and the preset area and/or the charging policy of the shared device.
The method according to claim 17 or 18, wherein the sending an information prompt to a user corresponding to the sharing device based on the positional relationship between the sharing device and the preset area comprises:

If the shared device is located in the first preset area and meets the first preset condition, sending first prompt information to the user;

If the shared device is located in a second preset area and meets a second preset condition, sending second prompt information to the user;

If the shared device is located in the third preset area, sending third prompt information to the user;

Wherein, the first preset area is the preset return area, the second preset area is an area where sharing devices are prohibited from being placed, and the third preset area is the first preset area and the The area outside the second preset area.
The method according to any one of claims 17-19, wherein the information prompt comprises at least one of the following:

A first charging policy of the shared device, where the first charging policy indicates a charging policy when the shared device is located in the first preset area;

The second charging policy of the shared device, where the second charging policy indicates a charging policy when the shared device is located in the third preset area.
The method according to claim 20, wherein when the third prompt information includes the first charging policy, the first charging policy is determined in the following manner:

Acquiring the minimum distance between the location of the shared device and the boundary location point of the first preset area;

According to the minimum distance and the mapping relationship between the preset distance and the charging strategy, the first charging strategy corresponding to the minimum distance is determined.
The method according to claim 20, wherein the first charging policy comprises a free use policy and/or a preferential use policy corresponding to the user behavior.
A preset area positioning system for shared equipment, which is characterized in that it comprises:

The acquisition module is used to acquire the signal information of the shared device;

A processing module, configured to determine whether the shared device is located in a preset return area based on at least the signal information and through a preset algorithm;

The transmission module is configured to allow the shared device to be returned in response to the shared device being located in the preset return area.
The system according to claim 23, wherein the signal information includes wireless signal information of the shared device;

The processing module includes a judging unit, and the judging unit is configured to:

Input the wireless signal information of the shared device into the first learning model, and determine the probability that the shared device is located in the preset return area;

In response to the probability that the shared device is located in the preset return area is greater than a first preset threshold, it is determined that the shared device is located in the preset return area.
The system according to claim 24, wherein the wireless signal information includes wifi signal information;

The acquisition module is also used for:

Receive a wifi signal list scanned by the wireless module of the shared device, where the wifi signal list includes: wifi signal names and corresponding wifi signal strengths.
The system according to claim 24, wherein the system further comprises a training module, and the training module is configured to:

Construct a training data set, the training data set includes: wireless signal information collected when a plurality of first shared devices that are the same as the shared device are returned in the preset return area, and a plurality of and the shared device Wireless signal information collected when the same second shared device is not returned in the preset return area;

Performing feature extraction on the data in the training data set to obtain first feature information;

The first feature information is input into an initial learning model to perform iterative training to obtain the first learning model.
The system according to claim 24, wherein the processing module is further configured to:

In response to the probability that the shared device is located in the preset return area is not greater than the first preset threshold, determining that the shared device is located outside the preset return area; and

Send reminder information to the user corresponding to the sharing device to prompt the user to search for the return area again.
The system according to claim 27, wherein the processing module is further configured to:

Acquiring GPS signal information of the shared device;

In response to the signal strength of the GPS signal information being greater than a second preset threshold, sending return area recommendation information to the user.
The system according to any one of claims 24-28, wherein the processing module further comprises a recording unit, and the recording unit is configured to:

Receiving return feedback of the shared device, where the return feedback includes: the shared device cannot be returned within the preset return area, and the wireless signal information acquisition fails;

The return feedback is reviewed, and if the review is passed, the number and location information of the shared device are recorded.
The system according to claim 29, wherein the transmission module is further configured to:

Send the number and the location information of the shared device to the terminal of the manager, so that the manager can maintain the shared device.
The system according to any one of claims 24-30, wherein the processing module is further configured to:

In response to the probability that the shared device is located in the preset return area is not greater than the first preset threshold, and the return success message of the shared device is received, the number of incorrect returns of the user of the shared device is recorded and incremented by 1 ;as well as

According to the error return times, the price of the next shared device or similar shared device used by the user is determined.
The system according to claim 23, wherein the signal information includes location information of the shared device;

The processing module includes a calculation unit, and the calculation unit is configured to:

Acquiring the second characteristic information of the preset return area corresponding to the location information of the shared device;

Determine the redundancy value of the preset return area through a second learning model at least according to the second characteristic information;

According to the redundancy value and the preset return area, determine whether the shared device is located in the preset return area.
The system according to claim 32, wherein the system comprises a training module, and the training module is configured to:

Acquiring the second characteristic information of the sample return area;

Determine the redundancy value corresponding to the sample return area according to the second characteristic information of the sample return area;

Model training is performed according to the second feature information of the sample return area and the redundant value corresponding to the sample return area to obtain the second learning model.
The system according to claim 33, wherein the second characteristic information of the sample return area includes: road condition information and shared device information of the return area;

The training module is used for:

Determine the redundancy value corresponding to the sample return area according to the road condition information and the shared device information of the sample return area.
The system according to claim 34, wherein the road condition information of the return area includes at least one of the following information: the road width of the return area, and the proportion of the residential area within a preset range from the return area , The distance between the return area and the nearest commercial area, the historical traffic information in the return area, and the location characteristics of the return area;

The shared device information of the return area includes at least one of the following information: the number of shared devices in the return area, the outflow information of shared devices in the return area, and the inflow information of shared devices in the return area.
The system according to claim 33, wherein the second characteristic information of the sample return area includes traffic control information of the return area;

The training module is used for:

Determine the maximum redundancy value corresponding to the sample return area according to the traffic control information of the sample return area;

According to the maximum redundancy value, the initial redundancy value is adjusted to obtain the redundancy value corresponding to the sample return area, and the redundancy value corresponding to the sample return area is less than or equal to the maximum redundancy value.
The system according to any one of claims 32-36, wherein the calculation unit is further configured to:

Acquiring user information corresponding to the shared device;

Adjusting the redundancy value corresponding to the preset return area according to the user information to obtain the adjusted redundancy value;

Determine the target return area according to the adjusted redundancy value and the preset return area;

In response to the location of the shared device being within the target return area, it is determined that the shared device is located within the preset return area.
The system according to claim 37, wherein the user information includes: the user's credit information, and/or the user's historical order information.
The system according to claim 23, wherein the transmission module is further used for:

Based on the positional relationship between the shared device and the preset area, an information prompt is sent to the user corresponding to the shared device.
The system according to claim 39, wherein the information prompt reflects the location relationship between the shared device and the preset area and/or the charging policy of the shared device.
The system according to claim 39 or 40, wherein the transmission module further comprises:

The first sending unit is configured to send first prompt information to the user when the shared device is located in a first preset area and meets a first preset condition;

A second sending unit, configured to send second prompt information to the user when the shared device is located in a second preset area and meets a second preset condition;

The third sending unit is configured to send third prompt information to the user when the shared device is located in the third preset area;

Wherein, the first preset area is the preset return area, the second preset area is an area where sharing devices are prohibited from being placed, and the third preset area is the first preset area and the The area outside the second preset area.
The system according to any one of claims 39-41, wherein the information prompt comprises at least one of the following:

A first charging policy of the shared device, where the first charging policy indicates a charging policy when the shared device is located in the first preset area;

The second charging policy of the shared device, where the second charging policy indicates a charging policy when the shared device is located in the third preset area.
The system according to claim 42, wherein when the third prompt information includes the first charging policy, the first charging policy is determined in the following manner:

Acquiring the minimum distance between the location of the shared device and the boundary location point of the first preset area;

According to the minimum distance and the mapping relationship between the preset distance and the charging strategy, the first charging strategy corresponding to the minimum distance is determined.
The system according to claim 42, wherein the first charging policy includes a free use policy and/or a preferential use policy corresponding to the user behavior.
A device for locating a preset area of shared equipment, wherein the device includes at least one processor and at least one memory;

The at least one memory is used to store computer instructions;

The at least one processor is configured to execute at least part of the computer instructions to implement the method according to any one of claims 1-22.
A computer-readable storage medium, wherein the storage medium stores computer instructions, and when the computer instructions are executed by a processor, the method according to any one of claims 1-22 is implemented.