WO2020187082A1

WO2020187082A1 - Method for reporting position information by device, and related apparatus

Info

Publication number: WO2020187082A1
Application number: PCT/CN2020/078494
Authority: WO
Inventors: 张普朝
Original assignee: 华为技术有限公司
Priority date: 2019-03-15
Filing date: 2020-03-10
Publication date: 2020-09-24
Also published as: CN110049445A

Abstract

Disclosed are a method for reporting position information by a device and a related apparatus. In the method, when the device tracks an object, a scene where the object is currently located may be determined, and a reporting period corresponding to the scene is used for reporting real-time position information. By implementing the present application, the device can autonomously adjust the reporting period according to the current scene, thereby adapting to the current scene and reporting the position information according to actual needs.

Description

Method and related device for reporting location information of equipment

This application claims the priority of a Chinese patent application filed with the State Intellectual Property Office of China, the application number is 201910197407.0, and the invention title is "Method for reporting location information of equipment and related devices" on March 15, 2019. The entire content is incorporated by reference. In this application.

Technical field

This application relates to the field of terminals and communication technologies, and in particular to methods and related devices for equipment to report location information.

Background technique

With the development of terminal technology, more and more terminals have positioning functions and communication functions based on cellular networks. This type of terminal (such as tracker) can obtain the current location through the measurement data of sensors (such as acceleration sensor, air pressure sensor, etc.), satellite navigation system positioning, Wi-Fi positioning, base station positioning, etc., and through the cellular network Report the location information to the cloud server.

This type of terminal with positioning function and cellular network-based communication function can be widely used to track various objects, such as tracking people (such as children, the elderly), pets, important items (such as luggage, medical equipment), as well as agriculture and animal husbandry. Industry, logistics, cold chain and other industries. The user can view the current location and activity track of the tracked object through the location information uploaded by the terminal.

Currently, the period for the terminal to report the position is fixed. When the terminal is tracking an object, the scene in which the object is located may change (for example, the object may go from home to airplane, to hotel, etc.). The period for the terminal to report the position is fixed. For example, when a terminal with a reporting period of 1 hour is tracking luggage, when the luggage is at home, it is reasonable for the terminal to report location information every 1 hour, but when the luggage is at the airport, the terminal reports every 1 hour Location information cannot meet the needs of users. In other words, the current scenario adaptability when the terminal reports the location is poor.

Summary of the invention

This application provides a method and related device for a device to report location information. The device can independently adjust the reporting period according to the current scenario, so that the device can adapt to the current scenario and report location information according to actual needs.

In the first aspect, the present application provides a method for reporting location information by a device. The method may include: a first device acquires scene data; the first device is used to track an object, and the distance between the first device and the object is less than The first value; the scene data reflects the geographic location or environment where the object is located; the first device determines that the object is currently in the first scene according to the scene data; the first device determines that the object corresponds to the first scene The first reporting period; the first device uses the first reporting period to report location information to the cloud server; the location information is real-time location information of the first device.

Here, the reporting period refers to the time interval between the first device reporting location information every 2 times.

Here, the distance between the first device and the object when tracking the object is less than the first value, that is, the position information obtained by the first device can be regarded as the position information of the object.

By implementing the technical solution described in the first aspect, the device can independently adjust the reporting period according to the current scene, so that the device can adapt to the current scene and report location information according to actual needs.

With reference to the first aspect, in a possible implementation manner, the type of the object tracked by the first device can be set in any of the following ways:

1. The type of the object tracked by the first device is set by the user. The user can select one of the object types from the menu containing multiple tracking object types provided by the second device as the type of the object tracked by the first device, that is, the first device binding tracking object type.

It is understandable that the way the user sets the type of the first device to track the object can enable the first device to track different objects according to the user’s needs, with a wider application range, more practicality, more in line with the user’s habits, and a better user experience. good.

2. The type of the object tracked by the first device is set by default by the first device. The first device may pre-store a fixed reporting period, and the object type corresponding to the fixed reporting period may be regarded as the tracking object type set by the first device by default.

With reference to the first aspect, in a possible implementation manner, the method further includes: the first device determines that the object is in the second scene according to the changed scene data; the first device determines that it corresponds to the second scene The second reporting period; the first device uses the second reporting period to report location information to the cloud server. That is, when the first device is tracking the same object and the object is in a different scene, the first device uses a reporting period suitable for the scene to report the location information.

In combination with the first aspect, different scenarios correspond to different reporting periods to meet the user's needs for grasping the location and activity trajectory of the tracked object. The following exemplarily gives two strategies for reporting location information by the first device:

1. When the moving speed of the tracked object is greater, the user needs to learn the location and movement trajectory of the object more frequently, that is, the first device can use a shorter reporting period to report location information. That is, if the movement speed of the tracked object in the first scene is greater than the movement speed in the second scene, the first reporting period is less than the second reporting period.

2. When the tracked object is in a safe scene, the user does not need to learn the location and movement trajectory of the object too frequently. When the tracked object is in an unsafe scene, the user needs to learn the location and movement trajectory of the object frequently. That is, if the first scene is a safe scene and the second scene is a non-safe scene, the first report period is greater than the second report period. Here, the safe scene and the non-safe scene can be preset by the user. For example, home and school can be set as a safe scene, and the rest can be set as a non-safe scene.

With reference to the first aspect, after the first device determines the scene in which the tracked object is currently located, it can learn the reporting period corresponding to the scene. In some embodiments, the first device can learn the reporting period corresponding to the scene in which the tracked object is currently located in any of the following ways:

1. The reporting period of the object in different scenarios can be preset according to empirical data. For example, the R&D personnel can determine the reporting period of the object suitable for different scenarios through investigations, etc., and preset it in the first device.

2. The reporting period of the object in different scenarios can be set by the user according to requirements.

With reference to the first aspect, in a possible implementation manner, the first device may also adjust the reporting period according to the instruction. The process of the first device adjusting the reporting period according to the instruction may include the following steps: the second device sends a first instruction to the cloud server according to the input user operation, and the first instruction is used to request the cloud server to notify the first device to report location information as soon as possible ; The cloud server sends a second instruction to the first device based on the first instruction, and the second instruction is used to instruct the first device to report location information as soon as possible; the first device receives the second instruction sent by the cloud server to shorten the reporting cycle, Report location information at a faster frequency. This way the user actively intervenes in the reporting cycle of the first device, in some emergency scenarios, the user can quickly learn the current location of the tracked object.

In some embodiments, the second instruction is time-sensitive. Within the first period of time when the first device receives the second instruction, the first device uses the shortened reporting period to report location information to the cloud server; after the first device receives the first period of time for the second instruction, the first device The first device uses the reporting period corresponding to the scene in which the object is currently located to report the location information to the cloud server.

With reference to the first aspect, in a possible implementation manner, when the first device reports the location information according to the reporting period corresponding to the current scene, the movement of the first device may also be considered. In a specific implementation, if the first device does not move within the second time period, it stops reporting location information to the cloud server. That is, when the first device is not moving for a long time, even when the reporting period comes, it may not report the location information, which can save power consumption. Here, the first device may detect whether there is movement within the second time period through sensors such as an acceleration sensor, a gyroscope sensor, and a vibration sensor.

With reference to the first aspect, in a possible implementation manner, when the first device is in an extreme situation, the reporting period may be adjusted. In a specific implementation manner, when the first device is subjected to a violent impact, the reporting period is shortened, and the shortened reporting period is used to report location information to the cloud server. When the first device encounters a violent impact, it may be in a dangerous situation. At this time, shortening the reporting period can enable the user to know the latest location information of the tracked object. Here, the first device may detect whether it encounters a violent impact through one or more of an acceleration sensor and a vibration sensor.

With reference to the first aspect, in a possible implementation manner, before the first device obtains the scene data, it may use the initial reporting period to report the location information to the cloud server. After acquiring the scene data, the first device may report the location information to the cloud server according to the reporting period corresponding to the determined scene. Here, the initial reporting period may be a reporting period corresponding to the type of the currently tracked object.

With reference to the first aspect, in a possible implementation manner, the first device reports location information to the cloud server through a cellular network. In some embodiments, the cellular network is a narrowband internet of things (NB-IoT), and the first device activates the non-power saving mode when reporting the location information, and activates power saving when the location information is not reported Mode (power saving mode, PSM). Combining the PSM of the first device under NB-IoT to report location information can avoid wasting data traffic and power at the communication level, and can make full use of the PSM of the device under NB-IoT to save power.

With reference to the first aspect, in a possible implementation manner, the first device determines that the tracked object is currently in the first scene according to the scene data, which specifically includes: the first device uses a machine learning algorithm to analyze the scene data to determine that the object is currently In the first scene.

In some embodiments, the first device may also update the machine learning algorithm used to recognize the scene. Specifically, the update process may include: the first device sends the scene data and the determined first scene to the cloud server, and the scene data and the determined first scene are used by the cloud server to update the machine learning algorithm; The first device receives the update data sent by the cloud server; the first device updates the machine learning algorithm according to the update data.

With reference to the first aspect, in a possible implementation manner, the scene data includes one or more of the following: the movement speed, acceleration, vibration signal or the position information obtained by the first device; the position information includes the following one Or multiple: latitude and longitude coordinates, geographic location name, or altitude.

In a second aspect, the present application provides a device that includes: one or more processors, a memory, and a communication module; the memory is coupled with the one or more processors, the memory is used to store computer program code, the The computer program code includes computer instructions, and the one or more processors invoke the computer instructions to cause the device to execute:

Obtain scene data; the device is used to track an object, and the distance between the device and the object is less than a first value; the scene data reflects the geographic location or environment where the object is located;

Determining that the object is currently in the first scene according to the scene data;

Determine the first reporting period corresponding to the first scenario;

Through the communication module, the first reporting period is used to report the location information to the cloud server; the location information is the real-time location information of the device.

Here, the reporting period refers to the time interval between the device reporting location information every 2 times.

Here, the distance between the device and the object when tracking the object is less than the first value, that is, the location information obtained by the device can be regarded as the location information of the object.

The device described in the second aspect can independently adjust the reporting period according to the current scene, adapt to the current scene and report location information according to actual needs.

With reference to the second aspect, in a possible implementation manner, the type of the object tracked by the device can be set in any of the following ways:

1. The type of the object tracked by the device is set by the user. The user can select one of the object types from the menu containing multiple tracking object types provided by the second device as the type of the object tracked by the device, which is the device binding tracking object type.

It is understandable that the way in which the user sets the device tracking object type can enable the device to track different objects according to the user's needs, with a wider application range, more practicality, more in line with the user's usage habits, and better user experience.

2. The type of the object tracked by the device is set by the device by default. The device may pre-store a fixed reporting period, and the object type corresponding to the fixed reporting period can be regarded as the tracking object type set by the device by default.

With reference to the second aspect, in a possible implementation manner, the one or more processors are further configured to invoke the computer instruction to cause the device to execute: determine that the object is in the second scene according to the changed scene data; Determine a second reporting period corresponding to the second scenario; use the second reporting period to report location information to the cloud server through the communication module. That is to say, when the device is tracking the same object and the object is in a different scene, the device uses a reporting period adapted to the scene to report location information.

In combination with the second aspect, different scenarios correspond to different reporting periods to meet the user's needs for grasping the location and activity trajectory of the tracked object. The following exemplarily gives two strategies for the device to report location information:

1. When the moving speed of the tracked object is greater, the user needs to learn the position and movement track of the object more frequently, that is, the device can report the position information in a shorter reporting period. That is, if the movement speed of the tracked object in the first scene is greater than the movement speed in the second scene, the first reporting period is less than the second reporting period.

In combination with the second aspect, after the device determines the scene where the tracked object is currently located, it can learn the reporting period corresponding to the scene. In some embodiments, the device can learn the reporting period corresponding to the scene where the tracked object is currently located in any of the following ways:

1. The reporting period of the object in different scenarios can be preset according to empirical data. For example, the R&D personnel can determine the reporting period of the object suitable for different scenarios through investigations, etc., and preset it in the device.

With reference to the second aspect, in a possible implementation manner, the one or more processors are further configured to call the computer instruction to make the device execute: the instruction sent by the cloud server is received through the communication module, and the instruction is used Instruct the device to shorten the reporting period; the device shortens the reporting period according to the instruction, and through the communication module, uses the shortened reporting period to report location information to the cloud server. This way the user actively intervenes in the reporting cycle of the device, in some emergency scenarios, the user can quickly learn the current location of the tracked object.

With reference to the second aspect, in a possible implementation manner, the timeliness of the instruction is the first duration. Within the first period of time when the device receives the instruction, use the shortened reporting period through the communication module to report location information to the cloud server; after the device receives the first period of time for the instruction, use the communication module The location information is reported to the cloud server in the reporting period corresponding to the scene where the object is currently located.

With reference to the second aspect, in a possible implementation manner, the device may also consider motion conditions when reporting location information. In a specific implementation manner, the one or more processors are further configured to invoke the computer instruction to make the device execute: if the device does not move within the second period of time, stop reporting location information to the cloud server. In other words, when the device is not moving for a long time, even when the reporting period comes, it may not report location information, which can save power consumption. Here, the device can detect whether there is movement within the second time period through sensors such as an acceleration sensor, a gyroscope sensor, and a vibration sensor.

With reference to the second aspect, in a possible implementation manner, when the device is in an extreme situation, the reporting period can be adjusted. In a specific implementation, the one or more processors are also used to call the computer instructions to make the device execute: when the device suffers a violent impact, shorten the reporting period, and use the shortened communication module The reporting period reports the location information to the cloud server. When the device encounters a violent impact, it may be in a dangerous situation. At this time, shortening the reporting period can enable the user to know the latest location information of the tracked object. Here, the device can detect whether it encounters a violent impact through one or more of an acceleration sensor and a vibration sensor.

With reference to the second aspect, in a possible implementation manner, the one or more processors are also used to call the computer instructions to make the device execute: before acquiring the scene data, through the communication module, use the initial reporting period Report location information to the cloud server. Here, the initial reporting period may be a reporting period corresponding to the type of the currently tracked object.

With reference to the second aspect, in a possible implementation manner, the communication module is a mobile communication module, which provides a cellular network solution, and the device reports the location information to the cloud server through the cellular network. In some embodiments, the cellular network is a narrowband internet of things (NB-IoT), and the device activates the non-power saving mode when reporting the location information, and activates the power saving mode when the location information is not reported. Combining the device's PSM under NB-IoT to report location information can avoid wasting data traffic and power at the communication level, and can make full use of the device's PSM under NB-IoT to achieve power saving effects.

With reference to the second aspect, in a possible implementation manner, the device determines that the object is currently in the first scene according to the scene data, which specifically includes: the device uses a machine learning algorithm to analyze the scene data to determine the current location of the object In the first scene.

In some embodiments, the one or more processors are further configured to invoke the computer instructions to make the device execute: send the scene data and the determined first scene to the cloud server through the communication module, and the scene data And the determined first scenario is used for the cloud server to update the machine learning algorithm; receiving the update data sent by the cloud server through the communication module; and updating the machine learning algorithm according to the update data. In this way, the device can update the machine learning algorithm used to recognize the scene, making the subsequent scene recognition more accurate.

With reference to the second aspect, in a possible implementation manner, the scene data includes one or more of the following: motion speed, acceleration, vibration signal or the position information obtained by the device; the position information includes one or more of the following : Longitude and latitude coordinates, geographic location name or altitude.

In the third aspect, the present application provides a computer program product containing instructions. When the computer program product is run on an electronic device, the electronic device is caused to perform the operations described in the first aspect and any possible implementation of the first aspect method.

In a fourth aspect, the present application provides a computer-readable storage medium, including instructions, when the instructions are executed on an electronic device, the electronic device is caused to execute as described in the first aspect and any possible implementation of the first aspect method.

By implementing the technical solution provided in this application, the device can independently adjust the reporting period according to the current scene, so that the device can adapt to the current scene and report location information according to actual needs.

Description of the drawings

FIG. 1 is a schematic structural diagram of a communication system provided by an embodiment of the present application;

FIG. 2 is a schematic diagram of the structure of a first device provided by an embodiment of the present application;

FIG. 3 is a schematic flowchart of a method for establishing a subordination relationship between a first device and a user according to an embodiment of the present application;

Figures 4 to 5 are schematic diagrams of some human-computer interaction provided by embodiments of the present application;

FIG. 6 is a schematic flowchart of a method for reporting location information by a device according to an embodiment of the present application;

FIG. 7 is a schematic diagram of the functions provided by each device in the communication system of an embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

Among them, in the description of the embodiments of the present application, unless otherwise specified, "/" means or, for example, A/B can mean A or B; "and/or" in this document is only a description of related objects The association relationship of indicates that there can be three relationships, for example, A and/or B, which can indicate: A alone exists, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, "plurality" means two or more than two.

Hereinafter, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

The embodiment of the present application provides a method for a device to report location information. The device can independently adjust the reporting period according to the current scenario, so that the device can adapt to the current scenario and report location information according to actual needs. Here, the reporting period refers to the time interval between the device reporting location information every 2 times.

First, the communication system involved in the embodiment of this application is introduced. Referring to Fig. 1, Fig. 1 shows a schematic structural diagram of a communication system provided by an embodiment of the present application. As shown in FIG. 1, the communication system may include: a first device 100, a second device 200, and a cloud server 300. among them:

The first device 100 is a terminal having a positioning function and a communication function based on a cellular network. The first device 100 has a positioning function means that the first device 100 can obtain current location information according to one or more of the following methods, including: global navigation satellite system (GNSS) positioning, Wi-Fi Positioning, base station positioning, and positioning using data measured by configured sensors (such as acceleration sensors, air pressure sensors, etc.). The first device 100 having a communication function based on a cellular network means that the first device 100 can be connected to the core network through the cellular network to communicate with other devices. In the embodiment of the present application, the first device 100 may be connected to the cloud server 300 based on a cellular network, so as to communicate with the cloud server 300.

The first device 100 can be used to track various objects, such as people (such as children, elderly), pets, important items (such as luggage, medical equipment), and objects in industries such as agriculture, animal husbandry, logistics, and cold chain, etc. . When the first device 100 tracks the object, the distance between the first device 100 and the object is less than the threshold. The threshold can be preset, such as 10 centimeters (cm), 5 cm, and so on. That is, in this embodiment of the present application, the location information of the first device 100 can be regarded as the location information of the object tracked by the first device 100. In a specific embodiment, the first device 100 may be placed in an accessory, which is convenient for the user to use. It is not limited to the first device 100 placed in the bracelet as shown in FIG. 1, and the first device 100 may also be placed in other accessories. For example, the first device 100 can be placed in a pet collar to track pets; the first device 100 can also be placed in a buckle of a suitcase to track the suitcase; the first device 100 can also be placed in a bicycle card The buckle/belt/water glass bottle buckle is used to track bicycles; the first device 100 can also be placed in clothing accessories (such as belts) to track children or the elderly, etc. In the embodiment of the present application, when tracking the object, the first device 100 can independently adjust the reporting period according to the current scene, and report the acquired location information to the cloud server 300 according to the reporting period. In some embodiments, the first device 100 may also be referred to as a tracker.

The second device 200 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), and a wearable device. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with iOS, Android, Microsoft or other operating systems. The aforementioned portable electronic device may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (such as a touch panel). It should also be understood that in some other embodiments of the present application, the second device 200 may not be a portable second device, but a desktop computer or a vehicle-mounted device with a touch-sensitive surface (such as a touch panel).

The second device 200 may be connected to the cloud server 300 through a wireless network, and the first device 100 may be controlled by the cloud server 300. Specifically, the second device 200 may receive the location information of the first device 100 sent by the cloud server 300 through a wireless network. In some embodiments, the second device 200 may also send an instruction to the cloud server 300 via a wireless network, and the cloud server 300 may instruct the first device 100 to perform a corresponding operation according to the instruction (for example, change the reporting period, etc.). Here, the wireless network may be a cellular network, wireless local area networks (WLAN) (for example, wireless fidelity (Wi-Fi) network), etc.

The second device 200 may be installed with an application (APP) for managing the first device 100, or the second device 200 may access a world wide web (web) page for managing the first device 100. The second device 200 can control the first device that has an affiliation with the associated user of the second device 200 through the application or web page. The associated user of the second device 200 refers to a user corresponding to a user account logged in to the second device 200 for managing the application or web page of the first device. In this embodiment of the present application, the user account logged in to the application or web page of the second device 200 may be referred to as the associated user account of the second device 200. For example, if user 1 uses his own user account (such as a Huawei account) to log in to the application or web page used to manage the first device 200 on the second device 200, then user 1 is an associated user of the second device 200, and user 1’s The Huawei account is the associated user account of the second device 200. The subordination between the user and the first device means that the user account of the user is bound to the device identification of the first device, and the first device belongs to the user and can be manipulated by the user.

The cloud server 300 is a device that provides safe and reliable elastic computing services. In this embodiment of the present application, the cloud server 300 provides an interface for managing applications or web pages of the first device 100, and the cloud server 300 can communicate with the second device 200 through the interface. Specifically, the cloud server 300 may receive an instruction from the second device 200 through the interface, and instruct the first device 100 to perform a corresponding operation (for example, change the reporting cycle) according to the instruction. In the embodiment of the present application, the cloud server 300 may also receive the location information reported by the first device 100 based on the cellular network, and send the location information to the second device 200 through the interface.

The cellular networks mentioned in the embodiments of this application may include but are not limited to: 1. Cellular networks constructed based on any of the following wireless communication technologies: second-generation mobile communication technology (2G) (for example, global system for mobile communications, GSM), general packet radio service (GPRS), third-generation mobile communication technology (3G) (such as code division multiple access (CDMA), broadband code division multiple access) (wideband code division multiple access, WCDMA), time-division code division multiple access (TD-SCDMA)), fourth-generation mobile communication technology (4G) (such as long term evolution, LTE) ), the fifth-generation mobile communication technology (5G) and the communication technology proposed in the subsequent development process, etc. 2. Narrowband Internet of Things (NB-IoT). Among them, NB-IoT is based on cellular network construction, which can meet the low power consumption and low cost requirements of IoT terminal equipment.

The structure of the first device 100 provided by the embodiment of the present application is described below.

Refer to FIG. 2, which is a schematic structural diagram of the first device 100. The first device 100 may include a processor 110, a memory 120, a charging management module 130, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, a sensor module 170, and a user identification module (subscriber identification module, SIM) card interface 180, etc. The sensor module 170 may include one or more of the following: a gyroscope sensor 170A, an air pressure sensor 170B, an acceleration sensor 170C, a distance sensor 170D, a temperature sensor 170E, and a vibration sensor 170F.

It can be understood that the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the first device 100. In other embodiments of the present application, the first device 100 may include more or fewer components than shown, or combine certain components, or split certain components, or arrange different components. The illustrated components can be implemented in hardware, software, or a combination of software and hardware. For example, in some embodiments, the first device 100 may also be configured with a display screen. In some possible implementation manners, the display screen may be used to display a two-dimensional code indicating the identification of the first device 100.

The processor 110 may include one or more processing units. For example, the processor 110 may include an application processor (AP), a modem processor, a graphics processing unit (GPU), and an image signal processor. (image signal processor, ISP), controller, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU), etc. Among them, the different processing units may be independent devices or integrated in one or more processors. Among them, the controller can generate operation control signals according to the instruction operation code and timing signals to complete the control of fetching and executing instructions.

A memory may also be provided in the processor 110 to store instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. The memory can store instructions or data that have just been used or recycled by the processor 110. If the processor 110 needs to use the instruction or data again, it can be directly called from the memory. Repeated accesses are avoided, the waiting time of the processor 110 is reduced, and the efficiency of the system is improved.

The memory 120 may be used to store computer executable program code, where the executable program code includes instructions. The memory 120 may include a program storage area and a data storage area. Among them, the storage program area can store an operating system, an application program required by at least one function (such as a function of reporting location information, etc.). The data storage area can store data (such as location information, etc.) created during the use of the first device 100. In addition, the memory 120 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, a universal flash storage (UFS), and the like. The processor 110 executes various functional applications and data processing of the first device 100 by running instructions stored in the memory 120 and/or instructions stored in a memory provided in the processor.

In some embodiments of the present application, the memory 120 may be used to store one or more algorithms for identifying the scene where the first device 100 is located. The processor 110 may call the algorithm to analyze the scene data obtained by the sensors (such as the air pressure sensor 170B and the acceleration sensor 170C) and/or the wireless communication module 160, and identify the scene where the first device 100 is located. After the processor 110 recognizes the scene where the first device 100 is located, it may adjust the period of the first device 100 reporting location information according to the scene where the first device 100 is located.

The charging management module 130 is used to receive charging input from the charger. Among them, the charger can be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 130 may receive the charging input of the wired charger through the USB interface. In some embodiments of wireless charging, the charging management module 130 may receive the wireless charging input through the wireless charging coil of the first device 100. While the charging management module 130 charges the battery 142, it can also supply power to the electronic device through the power management module 141.

The power management module 141 is used to connect the battery 142, the charging management module 130 and the processor 110. The power management module 141 receives input from the battery 142 and/or the charging management module 130, and supplies power to the processor 110, the memory 120, and the wireless communication module 160. The power management module 141 can also be used to monitor parameters such as battery capacity, battery cycle times, and battery health status (leakage, impedance). In some other embodiments, the power management module 141 may also be provided in the processor 110. In other embodiments, the power management module 141 and the charging management module 130 may also be provided in the same device.

The wireless communication function of the first device 100 can be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor, and the baseband processor.

The antenna 1 and the antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in the first device 100 can be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example, antenna 1 can be multiplexed as a diversity antenna of a wireless local area network. In other embodiments, the antenna can be used in combination with a tuning switch.

The mobile communication module 150 may provide a wireless communication solution including 2G/3G/4G/5G, NB-IoT, etc., applied on the first device 100. The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (LNA), etc. The mobile communication module 150 can receive electromagnetic waves by the antenna 1, and perform processing such as filtering, amplifying and transmitting the received electromagnetic waves to the modem processor for demodulation. The mobile communication module 150 can also amplify the signal modulated by the modem processor, and convert it into electromagnetic waves for radiation via the antenna 1. In some embodiments, at least part of the functional modules of the mobile communication module 150 may be provided in the processor 110. In some embodiments, at least part of the functional modules of the mobile communication module 150 and at least part of the modules of the processor 110 may be provided in the same device. In the embodiment of the present application, the mobile communication module 150 may be used to send the position information obtained by the wireless communication module 160 and sensors (such as the air pressure sensor 170B and the acceleration sensor 170C) to the cloud server 300 according to the reporting period. In some embodiments, the mobile communication module 150 is also used to receive an instruction from the cloud service 300, and the instruction is used to instruct the first device 100 to perform a corresponding operation (for example, adjust the reporting period).

The modem processor may include a modulator and a demodulator. Among them, the modulator is used to modulate the low frequency baseband signal to be sent into a medium and high frequency signal. The demodulator is used to demodulate the received electromagnetic wave signal into a low-frequency baseband signal.

The wireless communication module 160 can provide applications on the first device 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), bluetooth (BT), and global navigation. Satellite system (global navigation satellite system, GNSS), frequency modulation (frequency modulation, FM), near field communication technology (near field communication, NFC), infrared technology (infrared, IR) and other wireless communication solutions. The wireless communication module 160 may be one or more devices integrating at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2, frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110. The wireless communication module 160 can also receive the signal to be sent from the processor 110, perform frequency modulation, amplify it, and convert it into electromagnetic wave radiation via the antenna 2.

In some embodiments, the antenna 1 of the first device 100 is coupled with the mobile communication module 150, and the antenna 2 is coupled with the wireless communication module 160, so that the first device 100 can communicate with the network and other devices through wireless communication technology. The wireless communication technologies may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (CDMA), broadband Code division multiple access (wideband code division multiple access, WCDMA), time-division code division multiple access (TD-SCDMA), long term evolution (LTE), BT, GNSS, WLAN, NFC , FM, and/or IR technology, etc. The GNSS may include global positioning system (GPS), global navigation satellite system (GLONASS), Beidou navigation satellite system (BDS), quasi-zenith satellite system (quasi -zenith satellite system, QZSS) and/or satellite-based augmentation systems (SBAS).

The gyro sensor 170A may be used to determine the movement posture of the first device 100. In some embodiments, the angular velocity of the first device 100 around three axes (ie, x, y, and z axes) can be determined by the gyro sensor 170A. The gyro sensor 170A can also be used to navigate the scene.

The air pressure sensor 170B is used to measure air pressure. In some embodiments, the first device 100 calculates the altitude based on the air pressure value measured by the air pressure sensor 170B to assist positioning and navigation.

The acceleration sensor 170C can detect the magnitude of the acceleration of the first device 100 in various directions (generally three axes). When the first device 100 is stationary, the magnitude and direction of gravity can be detected. It can also be used to identify the posture of electronic devices, and used in applications such as horizontal and vertical screen switching, pedometers and so on.

The distance sensor 170D is used to measure distance. The first device 100 can measure the distance by infrared or laser.

The temperature sensor 170E is used to detect temperature. In some embodiments, the first device 100 may use the temperature sensor 170E to collect the ambient temperature.

The vibration sensor 170F can acquire a vibration signal. In some embodiments, when an external force acts on the first device 100, the vibration sensor 170F may obtain a vibration signal.

The SIM card interface 180 is used to connect to a SIM card. The SIM card can be inserted into the SIM card interface 180 or pulled out from the SIM card interface 180 to achieve contact and separation with the first device 100. The first device 100 may support 1 or N SIM card interfaces, and N is a positive integer greater than 1. The SIM card interface 180 can support Nano SIM cards, Micro SIM cards, SIM cards, etc. The same SIM card interface 180 can insert multiple cards at the same time. The types of the multiple cards can be the same or different. The SIM card interface 180 can also be compatible with different types of SIM cards. The SIM card interface 180 can also be compatible with external memory cards. The first device 100 interacts with the network through the SIM card to implement functions such as call and data communication. In some embodiments, the first device 100 uses an eSIM, that is, an embedded SIM card. The eSIM card can be embedded in the first device 100 and cannot be separated from the first device 100.

Based on the communication system shown in FIG. 1 and the first device 100 shown in FIG. 2, an embodiment of the present application provides a method for a device to report location information. By implementing the method provided in the embodiments of this application, the first device can independently adjust the reporting period according to the current scene, so that the first device can adapt to the current scene and report location information according to actual needs, which can not only meet the needs of tracking objects, but also Can save power consumption.

In this embodiment of the present application, the location information of the first device may include one or more of the following: latitude and longitude coordinates, altitude, or geographic location name. The first device can obtain location information through any of the following methods or a combination of the following methods:

1. The first device obtains the longitude and latitude coordinates or the geographic location name through a global navigation satellite system, such as GPS, GLONASS, BDS, QZSS, or SBAS.

2. The first device uses the base station positioning method to obtain the latitude and longitude coordinates.

3. The first device uses wireless indoor positioning technology to obtain the latitude and longitude coordinates or the name of the geographic location. Wireless indoor positioning technologies may include short-range wireless technologies such as Wi-Fi, radio frequency identification (RFID), Bluetooth, infrared, and ultrasonic.

4. The first device obtains location information through the data collected by the sensor. For example, the first device may measure the air pressure value through the air pressure sensor 170B, and calculate the altitude based on the measured air pressure value. The first device may also measure the speed and acceleration through the acceleration sensor 170C, and calculate the latitude and longitude coordinates of the current time point based on the measured speed, acceleration, and the latitude and longitude coordinates of a previous time point. The first device can also measure the distance to an object through the distance sensor 170D, and calculate its own longitude and latitude coordinates based on the measured distance and the longitude and latitude coordinates of the object.

In the embodiment of the present application, some sensors of the first device 100, such as the air pressure sensor 170B, the acceleration sensor 170C, etc., can work continuously for a long time to collect data, so as to obtain the location information of the tracked object.

In the embodiment of the present application, the wireless communication module 160 of the first device 100 can continuously provide wireless communication solutions such as global navigation satellite systems (such as GPS), Wi-Fi, Bluetooth, infrared, etc. to obtain the location information of the first device 100. The above wireless communication solution may also be provided periodically (for example, in a fixed period) or as needed (for example, when or before the location information needs to be reported) to obtain the location information of the first device 100.

Before implementing the method provided in the embodiment of the present application, that is, before the first device 100 obtains location information and reports the location information, the first device 100 needs to establish an affiliation with the user. After the first device 100 reports the location information, users who have an affiliation with the first device 100 can view the location and activity track of the first device on the second device 200. Exemplarily, referring to FIG. 3, the process of establishing a subordination relationship between the user and the first device 100 may include the following steps:

Step 1: The user uses his own user account and password to log in to the application installed on the second device 200 to manage the first device, or log in to the web used to manage the first device accessed by the second device 200 page.

Here, the application or web page used to manage the first device may be developed by the manufacturer of the first device (for example, the manufacturer of the tracker (for example, Huawei)).

For example, referring to 4a of FIG. 4, it shows the user interface 10 provided by the second device 200 after the user logs in to the application for managing the first device using the user account and password. As shown in 4a, the user interface 10 may include: view user information control 101, set control 102, add control 103, map display area 104, and add device control 105. In some embodiments, the user interface 10 may further include a status bar 106. The status bar 106 may include one or more of the following: the name of the operator (for example, China Mobile), Wi-Fi icon, signal strength, time, battery Icon, alarm clock icon (not shown in the figure) or Bluetooth icon (not shown in the figure), etc. In some embodiments, the user interface 10 may further include a concealable navigation bar 107, which may include a return key, a main display key, and a multitasking key. In this user interface 10:

The view user information control 101 can be used to receive an input user operation (for example, a click operation). In response to the user operation, the second device 100 can display user information on the user interface 10 (for example, the user who has logged in to manage the application of the first device) User account avatar, name, etc.), controls for logging out or switching login accounts, etc.

The setting control 102 may be used to receive an input user operation (for example, a click operation), and in response to the user operation, the second device 100 may display a user interface for setting related functions of the application for managing the first device. The related functions of the application used to manage the first device may include: a method of prompting new messages, a displayed language, etc.

The add control 103 may be used to receive an input user operation (for example, a click operation), and in response to the user operation, the second device 200 may display a small window including one or more controls on the user interface 10. The second device 200 may respond to a user operation (for example, a click operation) detected on the control in the small window, and provide scan QR code, view help feedback information, add friends or some other functions.

The map display area 104 is used to display a map. The map display area 104 may be used to display a map corresponding to the current location of the second device 200. The map displayed in the map display area 104 may be provided by a map application (for example, Google Maps, Baidu Maps).

The add device control 105 can be used to receive an input user operation (for example, a click operation), and in response to the user operation, the second device 200 can obtain the identification of the first device 100 nearby. That is, in response to a user operation (for example, a click operation) input by the user on the add device control 105, the second device 200 may perform the following step 2.

Step 2: The second device 200 obtains the identification of the first device 100, and discovers the first device 100 according to the identification.

The identifier of the first device 100 may be a service set identifier (SSID) of a service set constructed by the first device 100, and may be used to indicate the first device 100. The second device 200 obtains the identity of the first device 100, that is, the second device 200 finds that the first device 100 exists nearby.

In the embodiment of the present application, the second device 200 may execute any of the following methods to obtain the identity of the first device 100:

(1) The second device 200 scans a message sent by the nearby first device 100, and the message carries the identity of the first device 100.

The first device 100 may send a message after being connected to a power source or after receiving a user operation (for example, the power button of a smart speaker receives a user's long press operation). The first device 100 may continuously send the message. The message sent by the first device 100 carries the identity of the first device 100.

In some embodiments, the message may be a beacon frame (beacon frame) or a probe request frame (also called probe request) sent by the first device 100 using Wi-Fi technology. For example, the first device 100 may act as an AP hotspot to send beacon frames or probe requests. After receiving a user operation on the add device control 105 in the user interface 10, the second device 200 may perform a scanning operation on the Wi-Fi channel in response to the user operation. The time period during which the second device 200 performs the scanning operation may be a preset time period, and the second device 200 may stop scanning after the preset time period. When the distance between the second device 200 and the first device 100 is within the effective range of the Wi-Fi signal, the second device 200 can scan the beacon frame or probe request sent by the first device 100.

In other embodiments, the message may be a broadcast packet sent by the first device 100 using Bluetooth technology. After receiving the user operation on the add device control 105 in the user interface 10, the second device 200 may perform a scanning operation on the Bluetooth channel in response to the user operation. The time period during which the second device 200 performs the scanning operation may be a preset time period, and the second device 200 may stop scanning after the preset time period. When the distance between the second device 200 and the first device 100 is within the effective range of the Bluetooth signal, the second device 200 can scan the broadcast packet sent by the first device 100.

Exemplarily, referring to 4b of FIG. 4, it shows that the second device 200 obtains the identification of the nearby first device 100 through the above-mentioned method (1) in response to the user operation received on the add device control 105 User interface displayed 20. The user interface 20 may include: return to the upper level control 201, prompt information 202, and available device list 203. Wherein, the return to upper level control 201 can be used to receive an input user operation (for example, a click operation), and the second device 200 can display the user interface 10 shown in 4a again in response to the user operation. The prompt information 202 is used to prompt the user that the second device 200 is currently scanning a message sent by a nearby first device. The available device list 203 is used to display the information of the nearby first device discovered by the second device 200, the information is carried in the message sent by the first device, and the information may be the name of the first device. Exemplarily, as shown in 4b, the second device 200 has discovered two first devices whose names are "AAAAA" and "BBBBB" respectively. The name of each device in the available device list 203 can be used to receive user operations.

Illustratively, referring to 4b and 4c of FIG. 4, the user can click "BBBBB" in the available device list 203, and in response to the click operation, the second device 200 can display the user interface 30 shown in 4c. The user interface 30 may include a return control 301, a prompt message 302, a temporarily unbound control 303, and an immediate binding control 304. Wherein, the return to the upper level control 301 can be used to receive an input user operation (such as a click operation), and the second device 200 can display the user interface 20 shown in 4b again in response to the user operation. The prompt message 302 is used to prompt the user whether to bind the discovered first device. The temporarily unbound control 303 can be used to receive an input user operation (for example, a click operation), and the second device 200 can display the user interface 20 shown in 4b again in response to the user operation. The immediate binding control 304 can be used to receive an input user operation (such as a click operation). In response to the user operation, the second device 200 can trigger a process for the associated user of the second device 200 to establish a subordination relationship with the first device "BBBBB" . For the process of establishing the affiliation relationship between the associated user of the second device 200 and the first device, refer to the subsequent steps 3 to 8.

In some embodiments, when the second device 200 triggers the process for the associated user of the second device 200 to establish an affiliation with the first device, the user interface 40 as shown in 5b of FIG. 5 may also be displayed. That is, in response to the user operation received on the immediate binding control 304, the second device 200 may display the user interface 40 as shown in 5b of FIG. 5. The user interface 40 includes prompt information 404 for prompting the user that the associated user of the second device 200 is currently being bound to the first device.

(2) The second device 200 scans the two-dimensional code provided by the nearby first device 100, and the two-dimensional code is used to indicate the identity of the first device 100.

In some embodiments, if the first device 100 is equipped with a display screen, the first device 100 may pre-store a two-dimensional code when it leaves the factory, and display the two-dimensional code on the display screen after being turned on. In other embodiments, the two-dimensional code may be posted on the surface of the first device 100 when the first device 100 is shipped from the factory.

In a specific implementation, after receiving a user operation on the add device control 105 in the user interface 10, the second device 200 can turn on the camera and scan the QR code provided by the first device 100 through the camera. According to the QR code The identification of the first device 100 is obtained.

It is not limited to the above two ways to obtain the identity of the first device 100. The embodiment of the present application can also obtain the identity of the first device 100 in other ways. For example, the second device 200 can also receive the identity of the first device 100 input by the user. .

Step 3: The second device 200 sends a message for requesting the cloud server 300 to assign a device ID to the first device 100 to the cloud server 300, and the message carries the associated user account of the second device 200.

Step 4: The cloud server 300 allocates a device identifier to the first device 100, and sends the device identifier of the first device 100 to the second device 200.

Here, the device identifier assigned by the cloud server 300 to the first device 100 is different from the identifier of the first device 100 when the second device 200 discovers the first device 100 in step 1 above. The device identification assigned by the cloud server 300 to the first device 100 may be used by the cloud server 300 to identify the first device 100. The device identification can consist of one or more of numbers, letters, symbols, and so on.

Step 5: The second device 200 sends the device identification to the first device 100.

The second device 200 may send the device identification to the first device 100 using WiFi technology or Bluetooth technology.

Step 6: The first device 100 sends a binding request to the cloud server 300. The binding request carries the device identifier assigned by the cloud server 300 to the first device 100, and is used to request the cloud server 300 to be the associated user of the second device 200 and the The first device 100 establishes a subordinate relationship.

Specifically, the first device 100 may send the binding request to the cloud server 300 through a cellular network (for example, 2G/3G/4G/5G, NB-IoT, etc.).

Step 7: The cloud server 300 receives the binding request, and stores the associated user account of the second device 200 with the device identification of the first device 100 according to the binding request, that is, the associated user of the second device 200 and the first device 100 One device 100 is bound.

After the cloud server 300 binds the associated user account of the second device 200 with the device identifier of the first device 100, the user corresponding to the user account (ie, the associated user of the second device 200) and the first device 100 successfully establish an affiliation. After the associated user of the second device 200 establishes an affiliation with the first device 100, the associated user of the second device 200 can view the location reported by the first device 100 on the second device 200 by managing the application or web page of the second device information.

Step 8: The cloud server 300 sends a notification message to the second device 200, where the notification message is used to notify the second device 200 that the associated user and the first device 100 are successfully bound.

Specifically, after the second device 200 receives the notification message sent by the cloud server 300, it can be determined that the associated user of the second device 200 and the first device 100 have successfully established an affiliation. In some embodiments, the second device 200 may prompt the user to successfully establish an affiliation with the first device 100. The prompt method may include, but is not limited to: displaying prompt information on the display screen, voice broadcast prompt information, or vibration.

In some embodiments, the above step 3 to step 6 can also be replaced with the following step 3a to step 6a:

Step 3a: The first device 100 requests the cloud server 300 to allocate a device ID (device ID) to the first device 100.

Specifically, the first device 100 may request the cloud server 300 to allocate a device ID to the first device 100 through a cellular network (for example, 2G/3G/4G/5G, NB-IoT, etc.).

Step 4a: The cloud server 300 allocates a device ID to the first device 100, and sends the device ID of the first device 100 to the first device 100.

Step 5a: The first device 100 sends the device identifier to the second device 200.

Step 6a: The second device 200 sends a binding request to the cloud server 300. The binding request carries the device identifier assigned by the cloud server 300 to the first device 100 and the associated user account of the second device 200. The binding request is used to request The cloud server 300 establishes an affiliation relationship for the associated user of the second device 200 and the first device 100.

Exemplarily, referring to 5c of FIG. 5, after the associated user of the second device 200 establishes an affiliation with the first device 100, the second device 200 may display related information 108 of the first device 100 on the user interface 10. The related information 108 of the first device 100 may include: the picture and/or nickname of the object tracked by the first device 100, the name of the first device 100 (for example, "BBBBB"), and the remaining power of the first device 100 (for example, 38%) ), the status of the location information reported by the first device 100 (for example, whether the device reports location information, the latest location information reported by the device, etc.), etc. The picture and/or nickname of the object tracked by the first device 100 may be added or set by the user when establishing an affiliation with the first device 100. The remaining power of the first device 100 and the reported position information may be sent by the first device 100 to the second device 200 through the cloud server 300. Wherein, the manner in which the first device 100 obtains the location information can refer to the previous related description, and the manner in which the first device 100 reports the location information can refer to the related description in the subsequent embodiments.

In this embodiment of the application, after the associated user of the second device 200 establishes an affiliation with the first device 100, the first device 100 can start working, that is, the first device 100 can report location information to the cloud server 300 according to its own reporting cycle .

It is understandable that the reporting period of the first device 100 determines the accuracy and fineness of the user's control of the position of the first device 100/tracking object and the activity track. The shorter the reporting period, the more frequently the first device 100 can report the location information, so that the user can learn the location and activity track of the first device 100/tracking object more accurately. However, the shorter the reporting period, it also means that the first device 100 needs to communicate with the cloud server 300 more frequently, which will increase power consumption.

Taking into account user requirements and device power consumption, in general, the type of objects tracked by the first device 100 corresponds to its own reporting cycle. For example, for family members (such as children, the elderly, etc.), the user wants to know the location of the family member more frequently, such as the updated location of the family member every 5 minutes, so as to ensure the safety of the family member, so the first device tracks the family The period for reporting location information when a member is a member can be 5 minutes. For another example, the importance of pets is lower than that of family members. Considering power consumption, users hope to know the pet's location at a normal frequency, such as the updated pet's location every hour, so the first device tracks The period for reporting location information when pets can be 1 hour.

For example, refer to Table 1. Table 1 shows several types of tracked objects and the reporting period corresponding to the object types.

被追踪对象的类型Type of tracked object	上报周期Reporting period
家庭成员family member	5分钟5 minutes

宠物pet	1小时1 hour
牧场的牲畜Pasture livestock	0.5小时0.5 hour

行李箱trunk	1小时1 hour

Table 1 The reporting period corresponding to different object types

In the embodiment of the present application, the type of the object tracked by the first device 100 can be determined in any of the following ways:

1. The type of the object tracked by the first device 100 may be set by the first device 100 by default.

In some embodiments, the first device 100 may pre-store a fixed reporting period, and the object type corresponding to the fixed reporting period may be regarded as the tracking object type set by the first device 100 by default. For example, when the report period pre-stored by the first device is 5 minutes, the first device can be used to track family members; when the report period pre-stored by the first device is 1 hour, the first device can be used to track pets.

2. The type of the object tracked by the first device 100 may be set by the user.

Specifically, the user can select one of the object types from the menu containing multiple tracking object types provided by the second device 200 as the type of the object tracked by the first device 100, that is, the first device 100 binds the tracking object type. .

Exemplarily, referring to 5a of FIG. 5, the second device 200 may display the user interface 40 shown in 5a in response to the user operation input on the immediate binding control 304 in the user interface 30. The user interface 40 may include: return to the upper level control 401, prompt information 402, tracking object type menu 403, and next control 404. Wherein, the return to upper level control 401 can be used to receive an input user operation (such as a click operation), and the second device 200 can display the user interface 30 shown in 4c of FIG. 4 again in response to the user operation. The prompt information 402 is used to prompt the user to set the type of the object tracked by the first device 100. The tracking object type menu 403 may include the names and/or icons of multiple object types, such as luggage 403A, pets 403B, bicycles 403C, and valuables 403D shown in 5a. It is not limited to the tracking object type menu 403 shown in 5a. In a specific implementation, the tracking object type menu 403 may include more or less object types, which is not limited in the embodiment of the present application.

The user can select the type to which the tracking object belongs in the tracking object type menu 403 according to the object actually tracked by the first device 100. Illustratively, referring to 5a of FIG. 5, when the first device 100 is actually used to track the user's pet dog, the user can click on the pet 403B to set the pet as the type of the object tracked by the first device 100. After the user selects the pet 403B, the user can input a user operation (such as a click operation) on the next control 404, and in response to the user operation, the electronic device 200 can display the user interface 40 shown in 5b. For a detailed description of the user interface 40 shown in 5a, please refer to the foregoing related embodiments.

After the user sets the type of the object tracked by the first device 100 on the second device 200, the second device 200 may send the object type to the cloud server 300. The cloud server 300 may send the object type to the first device 100 so that the first device 100 knows the type of the object it tracks.

It is understandable that the user can set the method for the first device 100 to track the object type, so that the first device 100 can track different objects according to the user's needs. The first device 100 has a wider application range, is more practical, and is more suitable for users. The user experience is better.

The following describes a method for the first device 100 to report location information provided by an embodiment of the present application. The method for the first device 100 to report location information may include the following two:

1. In some embodiments, the first device 100 can report location information according to the reporting period corresponding to the type of the object it tracks in the initial stage of work, and after a period of work, it can adapt to the current scene of the first device 100 Adjust the reporting period. That is, the first device 100 may use the reporting period corresponding to the type of the self-tracking object as the initial reporting period, and may adjust the reporting period according to the scene after working for a period of time. Here, the correspondence between the type of tracking object and the reporting period can refer to Table 1 above and related descriptions.

Here, the first device 100 may determine the reporting period corresponding to the type of the self-tracking object by any of the following methods:

(1) In some embodiments, the reporting period corresponding to each tracking object type may be stored in the cloud server 300, and the first device 100 may obtain the reporting period corresponding to the type of its tracking object from the cloud server 300.

(2) In other embodiments, the first device 100 may pre-store the reporting period corresponding to each tracking object type. The first device 100 may find the reporting period corresponding to the type of the tracking object after learning the type of the tracking object.

2. In other embodiments, the first device 100 may adaptively determine the reporting period according to the current scene in the initial stage of work. That is to say, the first device 100 does not have an initial reporting period, and adaptively determines the reporting period according to the scene in the entire work process.

The following describes in detail the process of the first device 100 adaptively determining the reporting period and reporting location information according to the scene it is in.

Exemplarily, referring to FIG. 6, FIG. 6 shows a schematic flowchart of a method for the first device 100 to adaptively determine a reporting period and report location information according to a scene in an embodiment of the present application. As shown in Figure 6, the method may include the following steps:

Step S101: The first device 100 obtains scene data.

Specifically, when the first device 100 tracks an object, the tracked object may be in a different scene. The scene where the tracked object is located may include or reflect the geographic location and environment where the tracked object is located.

Exemplarily, see Table 2. Table 2 shows possible scenarios corresponding to several object types. Here, the scene corresponding to each object type can be preset according to empirical data, or can be set independently by the user. In some embodiments, the second device 200 may provide a user interface for setting or adding a scene corresponding to the object type, and the user can set or add a scene corresponding to the object type through the user interface. For example, the user can set 3 scenes corresponding to pets: a home scene, a dog walking scene, and a travel scene.

Table 2 Scenarios corresponding to different object types

The scene data is data that can be used by the first device 100 to determine which scene the tracked object is currently in. The scene data may include one or more of the following: the movement speed and acceleration obtained by the first device 100 through the acceleration sensor 170C, the vibration signal obtained by the first device 100 through the vibration sensor 170F, or the position information obtained by the first device 100. Wherein, the manner in which the first device 100 obtains the location information and the specific location information can refer to related descriptions above, which will not be repeated here.

Step S102: The first device 100 determines the scene where the tracked object is currently located according to the scene data.

Specifically, the first device 100 may determine the scene where the tracked object is currently located in the scene corresponding to the type of the tracked object according to the acquired scene data.

For example, when the object currently tracked by the first device 100 is a pet, the scenes that the pet may be in include: a home scene, a dog walking scene, and a travel scene. In the scene data obtained by the first device 100, if the location information indicates that the pet is at home, the first device 100 can determine that the pet is currently in the home scene; if the movement speed is> 4km/h, the first device 100 can determine that the pet is currently Dog walking scene; if the location information indicates that the distance between the pet and the home exceeds a preset value (for example, 100 km), the first device 100 may determine that it is currently in a traveling scene.

For another example, when the object currently tracked by the first device 100 is the user's bicycle, the possible scenes of the bicycle include: a home scene and a riding scene. In the scene data acquired by the first device 100, if the movement speed is close to 0km/h, the first device 100 can determine that it is currently in the home scene; if the movement speed is >10km/h, the first device 100 can determine that it is currently Riding scene.

For another example, when the object currently tracked by the first device 100 is a child, the scenes that the child may be in include: a home scene, a school scene, and an outside school scene. In the scene data obtained by the first device 100, if the location information indicates that the child is at home, the first device 100 can determine that the child is currently at home; if the location information indicates that the child is at school, the first device 100 can determine that the child is currently In a school scene; if the location information indicates that the child is neither at home nor at school, the first device 100 may determine that the child is currently in an out-of-school scene.

For another example, when the object currently tracked by the first device 100 is the user's suitcase, the possible scenes of the suitcase include: a home scene, a flight scene, an airport scene, a taxi scene, and a hotel scene. In the scene data obtained by the first device 100, if the speed is >300km/h, the rising altitude exceeds 5000m in a short time (for example, 20s), or the air pressure changes rapidly, the first device 100 can determine that it is currently in a flying scene; >30km/h, and the current location is on an urban arterial road, the first device 100 may determine that it is currently in a taxi scene. Among them, the first device 100 can calculate the speed according to the acceleration and the latitude and longitude.

In some embodiments of the present application, the first device 100 may store one or more algorithms for recognizing scenes. The algorithm may be an artificial intelligence (AI) algorithm. The first device 100 may use the acquired scene data as the input of the algorithm, and the output of the algorithm is the scene where the currently tracked object is located. In other words, the first device 100 can recognize the scene where the tracked object is currently located through the algorithm.

It is understandable that different object types correspond to different scenarios. Therefore, in this embodiment of the present application, different object types correspond to different algorithms. For example, the object type "luggage" has a corresponding algorithm, and the object type "pet" has a corresponding algorithm, and the two algorithms are not the same. The first device 100 uses an algorithm corresponding to the type of the currently tracked object to identify the scene where the tracked object is located.

When the type of the object tracked by the first device 100 is set by default at the factory through the first method described above, the first device 100 may store an algorithm corresponding to the type of the tracking object. When the type of the object tracked by the first device 100 is set by the user through the second method described above, that is, when the type of the object tracked by the first device 100 is uncertain, the first device 100 may store multiple types of tracking objects corresponding to different types of tracking objects. Algorithms, for example, algorithms corresponding to pets, algorithms corresponding to luggage, and algorithms corresponding to bicycles can be stored.

Here, one or more algorithms for scene recognition stored in the first device 100 can be obtained in the following ways: 1. The algorithm can be obtained through preliminary training based on the experience data obtained by the R&D personnel, and is preset in the first device at the factory. Equipment 100. 2. The cloud server 300 trains the algorithm according to the empirical data obtained by the research and development personnel, and stores the algorithm, and the first device 100 obtains the algorithm from the cloud server 300. In any of the above methods, the empirical data used when training the algorithm specifically includes: scene data collected by the researcher during the experiment, and scenes during the experiment. Specifically, the scene data collected by the experiment can be used as the input, and the scene during the experiment can be used as the output, so as to train the corresponding algorithm.

In some embodiments, the first device 100 may also update one or more stored algorithms for scene recognition. Specifically, as more and more first devices are put into use, more and more abundant data will be generated. The cloud server 300 may obtain these data and use the data to update the one or more algorithms for recognizing scenes.

The following takes an algorithm corresponding to a certain object type (hereinafter referred to as a specific object type) as an example to illustrate the update process. The update process may include the following steps:

Step 1: When more and more first devices track objects belonging to the specific object type, they can report the acquired scene data and the determined scene to the cloud server 300. Here, the manner in which these first devices obtain scene data can refer to the related description in step S101. The manners for the first device to determine the scene in which it is located may include: (1) Using a currently stored algorithm to obtain a calculation result using the acquired scene data as input, and use the calculation result as the scene in which it is located. (2) The first device determines the current scene according to other methods than algorithms. For example, the scene can be determined according to the keywords of the geographic location (for example, the keyword of the geographic location of the suitcase includes an airport, and the scene of the suitcase can be determined to be an "airport scene").

That is to say, in some embodiments, the first device 100 may report the scene data obtained in step S101 and the scene determined in step S102 to the cloud server 300, so that the cloud server 300 can update the scene data for identifying the scene. algorithm. Here, the first device 100 may report the acquired scene data and the corresponding scene according to a certain period. The period may be preset or independently determined by the first device 100, which is not limited in the embodiment of the present application. It is understandable that as more and more first devices are put into use, the period for the first device 100 to report the scene data obtained by itself and the corresponding scene can be lengthened.

Step 2: The cloud server 300 may use the scene data and scenes reported by the first devices to update the algorithm corresponding to the specific object type. Specifically, the cloud server 300 may use the scene data reported by the first device as input, and use the corresponding scene as input to update the algorithm corresponding to the specific object type.

Step 3: The cloud server 300 may send the update data of the algorithm of the specific object type to the first device 100.

Step 4: The first device 100 may update the stored algorithm corresponding to the specific object type according to the received update data. The updated algorithm can be used to more accurately identify the scene where the object of the specific object type is located.

In the embodiment of the present application, a machine learning algorithm can be used to update or train for scene recognition. The machine learning algorithm can be a deep learning algorithm, which can include one or more of the following: nearest neighbor (k-Nearest Neighbor, KNN) classification algorithm, convolutional neural network (convolutional neural network, CNN), recurrent neural network ( recurrent neural network, RNN) or statistical algorithms, etc. It is understandable that in the embodiment of the present application, the machine learning algorithm used can be adjusted according to the update result or the training result.

Step S103: The first device 100 determines a reporting period corresponding to the scene where the tracked object is currently located.

The following describes in detail what is the reporting period corresponding to the scenario. In the embodiment of the present application, when a user uses the first device 100 to track an object, and the object is in a different scene, the user needs to know the location of the tracked object and the activity trajectory, that is, the first device 100 reports location information. The period is different. The following exemplarily provides two strategies for the first device 100 to report location information under different user requirements:

1. When the moving speed of the tracked object is greater, the user needs to learn the position and movement trajectory of the object more frequently, that is, the first device 100 can report the position information in a shorter reporting period. Specifically, the greater the movement speed of the tracked object, the faster the change in the position of the object. In order to prevent the object from being lost, the first device 100 may frequently report the position information.

2. When the tracked object is in a safe scene, the user does not need to learn the location and movement trajectory of the object too frequently. When the tracked object is in an unsafe scene, the user needs to learn the location and movement trajectory of the object frequently. That is, when the tracked object is in a safe scene, the first device 100 can use a longer reporting period to report location information, and when the tracked object is in an unsafe scene, the first device 100 can use a shorter reporting period to report location information. Here, the safe scene and the non-safe scene can be preset. For example, when a user uses the first device 100 to track a pet, when the pet is in a “home scene”, the user does not need the first device 100 to report location information particularly frequently due to the high degree of security at home. For another example, when a pet is in a “traveling scene”, the degree of safety is reduced, and the user needs the first device 100 to report location information more frequently to obtain the pet's location and movement track, so as to prevent the pet from losing.

In the embodiment of the present application, the tracked object corresponds to different reporting periods in different scenarios, so as to meet the user's needs for grasping the location and activity track of the object. Exemplarily, referring to 3, Table 3 shows the reporting period of objects of the type "luggage" in different scenarios.

场景Scenes	上报周期Reporting period

家里场景Home scene	1小时1 hour
飞行场景Flying scene	无需上报位置信息，上报周期趋近于无限大No need to report location information, and the reporting cycle tends to be infinite
机场场景Airport scene	5分钟5 minutes

出租车场景Taxi scene	10分钟10 minutes
酒店场景Hotel scene	0.5小时0.5 hour

Table 3 The reporting cycle of objects of type "luggage" in different scenarios

It is understandable that it is not limited to the "luggage box" shown in Table 3. Other types of objects also have different reporting periods in their corresponding scenarios. For example, when the first device 100 tracks an object of the "pet" type (such as a pet dog), when the pet dog is in a home scene, the reporting period can be 60 minutes; when the pet dog is in a dog walking scene, the reporting period can be 5 minutes ; When the pet dog is in other scenes, the reporting period can be 30 minutes. For another example, when the first device 100 tracks objects of the “child” type, when the child is in a school/school scene, the reporting period may be 1 minute; when the child is in a home scene or school scene, the reporting period may be 60 minutes; When children are in a play scene, the reporting period can be 30 minutes.

In the embodiment of the present application, the first device 100 can learn the reporting period of the currently tracked object in different scenarios. The method for the first device 100 to learn the reporting period of the currently tracked object in different scenarios may include any of the following:

1. In some embodiments, the reporting period of the object in different scenarios can be preset based on empirical data. For example, R&D personnel can determine that the object is suitable for the reporting period of different scenarios through investigations, etc., and preset it in The first device 100.

When the type of the object tracked by the first device 100 is set by default at the factory through the first method described above, the first device 100 may pre-store the reporting period of the object of this type in different scenarios. For example, when the first device 100 sets the tracking object type as "luggage" by default at the factory, the first device 100 may pre-store the reporting periods of objects of the type "luggage" in different scenarios.

When the type of the object tracked by the first device 100 is set by the user through the above-mentioned second method, that is, when the type of the object tracked by the first device 100 is uncertain, the first device 100 may pre-store multiple objects of different types in The reporting period in different scenarios. For example, the first device 100 may pre-store the reporting periods of multiple types of objects such as "luggage", "pets", and "family members" in different scenarios, and the user sets the types of objects tracked by the first device 100 After that, the first device 100 may find the reporting periods corresponding to the objects tracked by the first device 100 in different scenarios from the reporting periods corresponding to multiple types of objects stored in advance.

2. In other embodiments, the reporting period of the object in different scenarios can be set by the user according to requirements.

Specifically, the second device 200 may provide a user interface on the display screen for setting the reporting period of the object in different scenarios. The user can set the reporting period of the object in different scenarios on the user interface. The second device 200 may send the report period of the object in different scenarios set by the user to the cloud server 300, and the cloud server 300 may send the report period of the object in different scenarios to the first device 100.

Step S104: The first device 100 uses the reporting period corresponding to the scene where the tracked object is currently located to report location information to the cloud server 300, where the location information is real-time location information obtained by the first device 100.

In step S103, the first device 100 may use the reporting period corresponding to the current scene determined in step S103 to report the location information. The reporting period refers to the interval at which the first device 100 reports location information every 2 times. For example, when the first device 100 determines that the tracked suitcase is currently in the "airport scene", it may report the location information once every 5 minutes. Here, the manner in which the first device 100 obtains the location information can refer to the previous related description, and it will not be repeated here.

In the embodiment of the present application, the first device 100 may use a wireless communication solution provided by a mobile communication module to report location information to the cloud server 300. That is, the first device 100 may report location information to the cloud server 300 through a cellular network (for example, 2G/3G/4G/5G, NB-IoT, etc.). Specifically, when the first device 100 needs to report location information, the first device 100 may use the cellular network to report the location information obtained by the first device 100 in real time to the cloud server 300. The real-time location information acquired by the first device 100 may refer to the location information acquired last time, or it may refer to the location information acquired by the electronic device 100 before (for example, 1 second before) or when the location information needs to be reported. This application There is no restriction on this. It is understandable that the time when location information needs to be reported in the embodiment of the present application refers to when the reporting period of the first device 100 arrives.

When the mobile communication module of the first device 100 provides the NB-IoT wireless communication solution, in a possible implementation manner, the first device 100 may also be combined with the power saving mode (PSM) under NB-IoT. ) To report location information. Specifically, a device based on NB-IoT can be in PSM when working. Under PSM, the first device 100 disables the function of sending and receiving wireless signals, does not monitor the paging on the core network side, cannot receive downlink data, and consumes very low power. . Specifically, the first device 100 can start PSM when it does not need to report location information; when it needs to report location information, if the first device 100 is in PSM, then start non-PSM, that is, actively wake up the first device 100 and pass NB- The IoT reports the position information newly acquired by the first device 100 to the cloud server 300. The non-PSM of the first device 100 may include a connected (connected) state and an idle (idle) state. Here, when the reporting period arrives, the first device 100 needs to report location information. That is, the first device 100 may activate the non-power saving mode when reporting location information, and activate the power saving mode when not reporting location information.

Combining the PSM of the first device 100 under NB-IoT to report location information can avoid wasting data traffic and power at the communication level, and can make full use of the PSM of the device under NB-IoT to achieve power saving effects.

With the method shown in FIG. 6, the first device can independently adjust the reporting period according to the current scene, adapt to the current scene and report location information according to actual needs, which can meet the needs of tracking objects and save power consumption.

In the embodiment of the present application, the scene in which the tracked object is determined by the first device 100 according to the scene data in step S102 may be referred to as the first scene, and the scene determined in step S103 corresponding to the current scene is reported The period is called the first reporting period.

In some embodiments, if the geographic location or environment of the first device 100/tracked object changes, the first device 100 may obtain the changed scene data, and the first device 100 may perform step S101 again. -S104. In the embodiment of the present application, the scene where the tracked object is determined by the first device according to the changed scene data may be called the second scene, and the reporting period corresponding to the second scene may be called the second reporting period .

In a specific implementation, if the movement speed of the tracked object in the first scene is greater than the movement speed in the second scene, the first reporting period is less than the second reporting period. In another specific implementation manner, if the first scene is a safe scene and the second scene is a non-safe scene, the first reporting period is greater than the second reporting period. In this way, the user's needs for grasping the location and activity trajectory of the tracked object can be met.

With reference to the method in which the first device 100 adaptively determines the reporting period and reports location information according to the scenario shown in FIG. 6, in some embodiments, the first device 100 may also consider the first device 100 when reporting location information according to the corresponding reporting period. The movement of a device 100. For example, when the reporting period of the first device 100 arrives, if the first device 100 does not move within the preset time, it may not report the location information. That is, when the first device 100 does not move for a long time, even when the reporting period comes, it may not report the location information, which can save power consumption. Here, the first device 100 may detect whether it moves within a preset time through sensors such as the acceleration sensor 170C, the gyro sensor 170A, and the vibration sensor 170F.

With reference to the method in which the first device 100 adaptively determines the reporting period and reporting location information according to the scenario shown in FIG. 6, in some embodiments, the first device 100 may also adjust the reporting period in combination with other situations, as detailed below Describe 2 possible adjustment methods:

1. When the first device 100 is in an extreme situation, adjust the reporting period.

In some embodiments, when the first device 100 encounters a violent impact, it may be in a dangerous situation. The first device 100 can shorten the reporting period, for example, adjust the reporting period to 5 seconds, so that the user can obtain the location of the tracked object as soon as possible . It is understandable that when the wireless communication module of the first device 100 provides an NB-IoT wireless communication solution, if the first device 100 is in the PSM when it encounters a severe impact, it can immediately start the non-PSM, that is, wake up the first device 100 , And report the latest location information acquired by the first device 100 to the cloud server 300 through NB-IoT. The manner in which the first device 100 actively starts the non-PSM may include: the first device 100 actively sends uplink data to the core network side.

Here, the first device 100 may detect whether a severe impact is encountered through one or more of the acceleration sensor 170C and the vibration sensor 170F.

2. When the user issues an instruction to instruct the first device 100 to report location information, the first device 100 adjusts the reporting cycle according to the instruction.

In some embodiments, the method shown in FIG. 6 may further include: the first device 100 adjusts the reporting period according to the instruction. The process of the first device 100 adjusting the reporting period according to the instruction may include the following steps:

Step 1: The second device 200 sends a first instruction to the cloud server 300 according to the input user operation.

Exemplarily, referring to 5d of FIG. 5, it shows that the associated user of the second device 200 has established an affiliation with the first device 100, and after the first device 100 works for a period of time (for example, 1 hour), the second device 200 Displayed user interface 50. The user interface 50 may be displayed by the second device 200 in response to an input user operation. The user operation may be a picture of an object tracked by the first device 100 in the related information 108 shown in 5c of FIG. User actions (such as click actions) received by the name.

The user interface 50 is used to display the details of the tracking object of the first device 100. As shown in 5d, the user interface 50 may include: return to the upper level control 501, related information 502 of the first device 100, position information 503 reported by the first device 100, view history track control 504, and emergency search control 505. among them:

Back to the upper level control 501 can be used to receive an input user operation (for example, a click operation), and the second device 200 can display the user interface 10 shown in 5c again in response to the user operation.

The related information 502 of the first device 100 is the same as the related information 108 of the first device 100 shown in the user interface 10, and the related description may be referred to.

The location information 503 reported by the first device 100 may include the location information reported by the first device and the time when the location information was reported. The location information may be the last reported by the first device 100. For the method for the first device 100 to report the location information, reference may be made to the description of the foregoing related embodiments (for example, the method embodiment shown in FIG. 6).

The viewing history track control 504 can be used to receive an input user operation (for example, a click operation), and the second device 200 can display the history track of the first device 100 in response to the user operation.

The emergency search control 505 can be used to receive an input user operation (for example, a click operation), and the second device 200 can send a first instruction to the cloud server 300 in response to the user operation. The first instruction is used to request the cloud server 300 to notify the first device 100 to report location information as soon as possible.

Step 2: The cloud server 300 receives the first instruction and detects whether the first device 100 is connected to the cloud server 300.

In some embodiments, the first device 100 may be connected to the core network, but has not yet established a connection with the cloud server 300. When the first device 100 and the cloud server 300 are not connected, the cloud server 300 and the first device 100 cannot communicate.

Step 3: When the first device 100 is connected to the cloud server 300, the cloud server 300 may send the first device 100 through the cellular network (for example, 2G/3G/4G/5G, NB-IoT, etc.) based on the first instruction. The second instruction is used to instruct the first device 100 to report location information as soon as possible.

When the first device 100 is not connected to the cloud server 300, the cloud server 300 instructs the first device 100 to establish a connection with the cloud server 300 through the core network. After the first device 100 receives the instruction from the core network, it can use the restricted application protocol (CoAP) based on the user datagram protocol (UDP), that is, use CoAP over UDP to actively establish with the cloud server 300 connection. After the first device 100 is connected to the cloud server 300, the cloud server 300 may send a second instruction to the first device 100 through a cellular network (for example, 2G/3G/4G/5G, NB-IoT, etc.) based on the first instruction. The second instruction is used to instruct the first device 100 to report location information as soon as possible.

Step 4: When the first device 100 receives the second instruction sent by the cloud server 300, the reporting period is shortened, and the location information is reported at a faster frequency. For example, the first device 100 may adjust the reporting period to 5 seconds, so that the user can obtain the location of the tracked object as soon as possible.

In some embodiments, the first device 100 communicates with the cloud server 300 through NB-IoT, and the first device 100 may be in PSM or non-PSM. When the cloud server 300 sends the second instruction to the first device 100, if the first device 100 is in a non-PSM, the first device can immediately receive the second instruction and adjust the reporting cycle according to the second instruction. When the cloud server 300 sends the second instruction to the first device 100, if the first device 100 is in the PSM, the first device 100 needs to exit the PSM before it can receive the second instruction and adjust the reporting cycle according to the second instruction . The first device 100 can exit the PSM in the following two situations: the first device 100 actively sends uplink data to the core network side, or the tracking area update (tracking area update, TAU) period of the first device 100 ends.

In some embodiments, the second instruction is time-sensitive. That is, after the first device 100 receives the second instruction and adjusts the reporting period according to the second instruction, it may report the location information according to the adjusted reporting period only within a preset time. After the preset time, the first device 100 may adjust the reporting period according to the method for adjusting the reporting period described in the previous embodiment (for example, the method shown in FIG. 6). That is, the first device 100 uses the shortened reporting period to report the location information to the cloud server 300 within the preset time of receiving the second instruction; after receiving the second instruction for the preset time, it uses and is The location information is reported to the cloud server 300 in the reporting period corresponding to the scene where the tracking object is currently located. The preset time can be preset. In the embodiment of the present application, the preset time may be referred to as the first duration.

Through the second method in which the user actively intervenes in the reporting period of the first device, in some emergency scenarios, the user can quickly learn the current location of the tracked object.

In the embodiment of the present application, after the first device 100 reports the location information to the cloud server 300, the cloud server 300 can learn the current location information of the first device 100. The cloud server 300 may determine whether to synchronously send the received location information of the first device 100 to the second device 200 according to any one of the following strategies: 1. The cloud server 300 receives the location information sent by the first device 100, that is, The location information is sent to the second device 200. 2. The cloud server 300 receives the location information sent by the first device 100, determines whether the location information is within a preset area, and if so, sends the location information to the second device 200. Among them, the preset area can be set independently by the user. It is understandable that the second strategy is similar to geofencing. When the object tracked by the first device 100 is located in the preset area, the second device 200 can receive the updated location information.

After receiving the location information sent by the cloud server 300, the second device 200 may prompt the user that the current location of the object tracked by the first device 100 is updated. The way for the second device 200 to prompt the user may include one or more of the following:

1. After receiving the location information sent by the cloud server 300, the second device 200 can display the location information through the user interface provided by the application for managing the first device, so as to control the location of the tracked object. Exemplarily, referring to 5c and 5d of FIG. 5, after the first device 100 reports the location information, the user can view the related information 108 of the first device 100 on the user interface 10 shown in 5c provided by the second device, and In the position information 503 shown in 5d, the last position information reported by the first device 100 is checked, so as to grasp the position of the tracked object.

In some embodiments, the second device 200 may also display the activity track of the first device 100 according to one or more location information recently reported by the first device 100. Exemplarily, the user can also click the view history track control 504 in the user interface 50 shown in 5d, and in response to the click operation, the second device 200 can display the activity track of the tracked object.

2. After receiving the location information sent by the cloud server 300, the second device 200 can call the notification manager of the second device 200 to display a prompt window on the top of the display screen of the second device 200, the prompt window including the second device 200 Location information received. The prompt window displayed on the top of the display screen of the second device 200 can automatically disappear after a short stay without user interaction.

It is not limited to the above two prompting methods. After receiving the location information sent by the cloud server 300, the second device 200 can also prompt the user by emitting a prompt sound, vibrating, and flashing the indicator light, which is not limited in this embodiment of the application.

The foregoing describes in detail the method for the device to report location information provided by the embodiment of the present application. The following describes the function of each device in the present application in conjunction with the method and the communication system of the present application. Exemplarily, refer to FIG. 7, which shows the main functions of each device in the embodiments of the present application. among them:

The sensor and wireless communication module of the first device 100 can be used to acquire the scene data of the first device 100, and the acquisition method can refer to the relevant description above. The first device 100 may store a scene recognition algorithm, and the first device may use the acquired scene data as an input of the scene recognition algorithm to identify the scene in which the first device 100 is located.

The processor of the first device 100 may be configured to adaptively adjust the reporting period according to the scene in which the first device 100 is located. In some embodiments, when the first device 100 communicates with the cloud server 300 through NB-IOT, the processor may also adjust the mode (PSM or non-PSM) of the first device 100, and the adjustment method may refer to the relevant description above.

The sensor and wireless communication module of the first device 100 can also be used to obtain the location information of the first device 100, and the obtaining method can refer to the relevant description above.

The mobile communication module of the first device 100 is further configured to send the acquired location information to the cloud server 300 according to the reporting cycle.

The first device 100 can also be placed in an accessory for use, and the type of accessory can refer to the previous description.

The cloud server 300 may provide electronic fence cloud services, algorithm training and updating, location cloud services, and the like. Among them, the algorithm training and update can refer to the previous description. The location cloud service means that the cloud server 300 can receive the location information reported by the first device 100 and provide the second device 100 with a service of querying the location or historical track. The electronic fence cloud service means that after the cloud server 300 receives the location information sent by the first device 100, it can determine whether the location information is within a preset area, and if so, it sends the location information to the second device 200. It is understandable that the various services provided by the cloud server 300 shown in FIG. 7 are not necessarily provided by one cloud server, but may also be provided by multiple cloud servers.

The second device 200 can provide functions such as device scene binding, historical trajectory viewing, emergency search, etc. For details, please refer to the relevant description above, which will not be repeated here.

It can be seen from the foregoing method embodiments and the human-computer interaction embodiments that the first device 100 can be used to track different types of objects and has wide applicability by implementing the method for reporting location information by a device provided in an embodiment of the present application. When tracking an object, the first device 100 can adjust the reporting cycle according to the current scene, and report location information according to actual needs. This can not only meet the needs of tracking objects, but also be suitable for current application scenarios to perform low-power work and improve Standby time.

The various embodiments of the present application can be combined arbitrarily to achieve different technical effects.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in the form of a computer program product in whole or in part. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the processes or functions described in this application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website, computer, server, or data center. Transmission to another website, computer, server or data center via wired (such as coaxial cable, optical fiber, digital subscriber line) or wireless (such as infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center integrated with one or more available media. The usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, and a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk).

In short, the above are only examples of the technical solution of the present invention, and are not used to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made according to the disclosure of the present invention shall be included in the protection scope of the present invention.

Claims

A method for equipment to report location information, characterized in that it includes:

The first device acquires scene data; the first device is used to track an object, and the distance between the first device and the object is less than a first value; the scene data reflects the geographic location of the object or surroundings;

Determining, by the first device, that the object is currently in the first scene according to the scene data;

Determining, by the first device, a first reporting period corresponding to the first scenario;

The first device uses the first reporting period to report location information to the cloud server; the location information is real-time location information of the first device.
The method according to claim 1, wherein the type of the object tracked by the first device is set by a user, or the type of the object tracked by the first device is set by the first device. One device is set by default.
The method according to claim 1 or 2, wherein the method further comprises:

Determining, by the first device, that the object is in the second scene according to the changed scene data;

Determining, by the first device, a second reporting period corresponding to the second scenario;

The first device uses the second reporting period to report location information to the cloud server.
The method according to claim 3, wherein:

If the moving speed of the tracked object in the first scene is greater than the moving speed in the second scene, the first reporting period is less than the second reporting period;

or,

If the first scene is a safe scene and the second scene is a non-safe scene, the first reporting period is greater than the second reporting period.
The method according to any one of claims 1 to 4, wherein the method further comprises:

The first device receives an instruction sent by the cloud server, where the instruction is used to instruct the first device to shorten the reporting period;

The first device shortens the reporting period according to the instruction, and uses the shortened reporting period to report location information to the cloud server.
The method according to claim 5, wherein the timeliness of the instruction is the first duration;

Within the first time period after the first device receives the instruction, the first device uses the shortened reporting period to report location information to the cloud server;

After the first device receives the instruction for the first duration, the first device uses a reporting period corresponding to the scene in which the object is currently located to report location information to the cloud server.
The method according to any one of claims 1-6, characterized in that,

If the first device does not move within the second time period, stop reporting location information to the cloud server;

or,

When the first device is subjected to a violent impact, the reporting period is shortened, and the shortened reporting period is used to report the location information to the cloud server.
The method according to any one of claims 1-7, wherein before the first device obtains scene data, the method further comprises: the first device uses an initial reporting period to report location information to the cloud server.
The method according to any one of claims 1-8, wherein the first device reports the location information to the cloud server through a cellular network.
The method according to claim 9, wherein the cellular network is a narrowband Internet of Things; the first device activates a non-power saving mode when reporting the location information, and activates power saving when the location information is not reported mode.
The method according to any one of claims 1-10, wherein the first device determines that the object is currently in the first scene according to the scene data, which specifically comprises: the first device uses machine learning The algorithm analyzes the scene data to determine that the object is currently in the first scene.
The method of claim 11, wherein the method further comprises:

The first device sends the scene data and the determined first scene to the cloud server, and the scene data and the determined first scene are used by the cloud server to update the machine learning algorithm;

The first device receives the update data sent by the cloud server;

The first device updates the machine learning algorithm according to the update data.
The method according to any one of claims 1-12, wherein:

The scene data includes one or more of the following: motion speed, acceleration, vibration signal or the position information acquired by the first device;

The location information includes one or more of the following: latitude and longitude coordinates, geographic location name, or altitude.
A device, characterized by comprising: one or more processors, memories, and communication modules;

The memory is coupled with the one or more processors, and the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors invoke the computer instructions to cause the Equipment execution:

Acquiring scene data; the device is used to track an object, and the distance between the device and the object is less than a first value; the scene data reflects the geographic location or environment where the object is located;

Determining, according to the scene data, that the object is currently in the first scene;

Determine the first reporting period corresponding to the first scenario;

Through the communication module, the location information is reported to the cloud server using the first reporting period; the location information is real-time location information of the device.
The device according to claim 14, wherein the type of the object tracked by the device is set by a user, or the type of the object tracked by the device is set by the device by default.
The device according to claim 14 or 15, wherein the one or more processors are further configured to invoke the computer instructions to cause the device to execute:

Determining that the object is in the second scene according to the changed scene data;

Determine a second reporting period corresponding to the second scenario;

The location information is reported to the cloud server through the communication module using the second reporting period.
The device of claim 16, wherein:

If the moving speed of the tracked object in the first scene is greater than the moving speed in the second scene, the first reporting period is less than the second reporting period;

or,

If the first scene is a safe scene and the second scene is a non-safe scene, the first reporting period is greater than the second reporting period.
The device according to any one of claims 14-17, wherein the one or more processors are further configured to call the computer instructions to cause the device to execute:

Receiving an instruction sent by the cloud server through the communication module, where the instruction is used to instruct the device to shorten the reporting period;

The device shortens the reporting period according to the instruction, and uses the shortened reporting period to report the location information to the cloud server through the communication module.
The device according to claim 18, wherein the timeliness of the instruction is the first duration;

Within the first time period when the device receives the instruction, report the location information to the cloud server through the communication module using the shortened reporting period;

After the device receives the instruction for the first duration, the communication module uses a reporting period corresponding to the scene in which the object is currently located to report the location information to the cloud server.
The device according to any one of claims 14-19, wherein the one or more processors are further configured to call the computer instructions to cause the device to execute:

If the device does not move within the second time period, stop reporting location information to the cloud server;

or,

When the device is subjected to a violent impact, the reporting period is shortened, and the shortened reporting period is used through the communication module to report location information to the cloud server.
The device according to any one of claims 14-20, wherein the one or more processors are further configured to invoke the computer instructions to cause the device to execute:

Before acquiring the scene data, the communication module uses the initial reporting period to report location information to the cloud server.
The device according to any one of claims 14-21, wherein the communication module is a mobile communication module, and the device reports the location information to the cloud server through a cellular network.
The device according to claim 22, wherein the cellular network is a narrowband Internet of Things; when the device reports the location information, the non-power saving mode is activated, and the power saving mode is activated when the location information is not reported.
The device according to any one of claims 14-23, wherein the device determines that the object is currently in the first scene according to the scene data, and specifically comprises: the device uses a machine learning algorithm to analyze the Scene data to determine that the object is currently in the first scene.
The device according to claim 24, wherein the one or more processors are further configured to invoke the computer instructions to cause the device to execute:

Sending the scene data and the determined first scene to the cloud server through the communication module, where the scene data and the determined first scene are used by the cloud server to update the machine learning algorithm;

Receiving the update data sent by the cloud server through the communication module;

The machine learning algorithm is updated according to the update data.
The device according to any one of claims 14-25, wherein:

The scene data includes one or more of the following: motion speed, acceleration, vibration signal or the position information acquired by the device;

The location information includes one or more of the following: latitude and longitude coordinates, geographic location name, or altitude.
A computer program product containing instructions, wherein when the computer program product runs on an electronic device, the electronic device is caused to execute the method according to any one of claims 1-13.
A computer-readable storage medium, comprising instructions, characterized in that when the instructions run on an electronic device, the electronic device is caused to execute the method according to any one of claims 1-13.