Information Processing Method, Apparatus, Device, Program Product, and Storage Medium

Abstract

One or more embodiments of the present specification provide an information processing method, apparatus, device, program product, and storage medium. The method includes: during the delivery process of the delivery capacity, at least obtaining the geographical location information of the delivery capacity and obtaining the waybill information of one or more delivery waybills that the delivery capacity is delivering; identifying the delivery environment state where the delivery capacity is located according to the obtained information; determining a sampling frequency based on the identification result, and obtaining first wireless signal information of the electronic device corresponding to the delivery capacity at the sampling frequency.

Description

Technical Field

[0001] Embodiments of this specification relate to the field of Internet technologies, and in particular, to information processing methods, devices, equipment, program products, and storage media. Background Art

[0002] Currently, many electronic devices are configured with one or more wireless communication modules and can detect wireless signal information emitted by other devices in the vicinity. Therefore, with the user's permission, the client installed on the electronic device can obtain the wireless signal information detected by the electronic device, and optimize services and provide better services for users through analysis or processing of the wireless signal information. Based on this, a better wireless signal information processing solution is needed to facilitate data analysis of the obtained wireless signal information. Summary of the Invention

[0003] To overcome the problems in the related art, embodiments of this specification provide information processing methods, devices, equipment, program products, and storage media.

[0004] According to a first aspect of the embodiments of this specification, an information processing method is provided. The method includes:

[0005] During the delivery process of the delivery capacity, at least obtain the geographical location information of the delivery capacity and the waybill information of one or more delivery waybills being delivered by the delivery capacity;

[0006] Identify the delivery environment state of the delivery capacity according to the obtained information;

[0007] Determine the sampling frequency based on the recognition result, and obtain the first wireless signal information of the electronic device corresponding to the delivery capacity at the sampling frequency.

[0008] In some examples, the method further includes:

[0009] In response to the pick-up point of the current task of the delivery capacity being indoors, obtain the delivery environment information of the delivery capacity, and determine the indoor / outdoor arrival state of the delivery capacity based on the delivery environment information;

[0010] In response to the delivery capacity being in the indoor arrival state, trigger an adjustment of the sampling frequency.

[0011] In some examples, the method further includes:

[0012] In response to the delivery capacity being in a stationary state, trigger an adjustment of the sampling frequency; and / or,

[0013] In response to receiving a pick-up notice for the current task of the delivery capacity, trigger an adjustment of the sampling frequency.

[0014] In some examples, the method further includes:

[0015] After receiving the pick-up notice, in response to the delivery capacity being in an outdoor arrival state, trigger an adjustment of the sampling frequency.

[0016] In some examples, the delivery capacity is in a stationary state, which is determined by the following method:

[0017] Obtain the step information collected by the electronic device, and determine that the delivery capacity is in a stationary state according to the step information.

[0018] In some examples, the method further includes:

[0019] In response to the pick-up point of the current task of the delivery capacity being outdoors, obtain the delivery environment information of the delivery capacity, and determine the indoor / outdoor state of the delivery capacity based on the delivery environment information;

[0020] In response to the delivery capacity being in an outdoor state, obtain the duration and maintain the sampling frequency.

[0021] In some examples, the duration is determined by the following method:

[0022] Obtain the geographical location information of the delivery capacity, determine the distance between the geographical location information and the pick-up point, and determine the moving speed of the delivery capacity based on the change of the geographical location information in a set time period;

[0023] Determine the duration according to the distance and the moving speed.

[0024] In some examples, the current task is the first task to be executed among one or more pick-up tasks belonging to the delivery capacity.

[0025] In some examples, the delivery environment information of the delivery capacity includes one or more of the following:

[0026] Light information, magnetic field information, wireless signal information, geographical location information or attitude information.

[0027] In some examples, determining the sampling frequency based on the recognition result includes:

[0028] Obtain the restriction condition information of the electronic device for the client to obtain wireless signal information, and determine the sampling frequency based on the restriction condition information and the recognition result.

[0029] According to the second aspect of the embodiments of the present specification, an information processing device is provided, and the device includes:

[0030] An acquisition module, configured to: during the delivery process of the delivery capacity, at least acquire the geographical location information of the delivery capacity and acquire the waybill information of one or more delivery waybills being delivered by the delivery capacity;

[0031] An identification module, configured to: identify the delivery environment state where the delivery capacity is located according to the acquired information;

[0032] A sampling module, configured to: determine the sampling frequency based on the identification result, and acquire the first wireless signal information of the electronic device corresponding to the delivery capacity at the sampling frequency.

[0033] According to the third aspect of the embodiments of the present specification, there is provided a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the method embodiment described in the foregoing first aspect are implemented.

[0034] According to the fourth aspect of the embodiments of the present specification, there is provided an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method embodiment described in the foregoing first aspect are implemented.

[0035] According to the fifth aspect of the embodiments of the present specification, there is provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method embodiment described in the foregoing first aspect are implemented.

[0036] The technical solutions provided by the embodiments of the present specification may include the following beneficial effects:

[0037] In the embodiments of the present specification, during the delivery process of the delivery capacity in the delivery scenario, at least the geographical location information of the delivery capacity and the waybill information of one or more delivery waybills being delivered by the delivery capacity are acquired, so that the delivery environment state where the delivery capacity is located can be identified according to the acquired information, and then the sampling frequency is determined based on the identification result, and the first wireless signal information of the electronic device corresponding to the delivery capacity is acquired at the sampling frequency. Therefore, the sampling frequency during the delivery process of the delivery capacity can adaptively change dynamically with different delivery environment states. The delivery capacity corresponds to different business stages under different delivery environment states, so that the wireless signal information collected under different delivery environment states can be associated with the business, thereby reducing the difficulty of subsequent data analysis and facilitating the optimization of the business.

[0038] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present specification. Description of the Drawings

[0039] The accompanying drawings herein are incorporated into and form a part of this specification, showing embodiments consistent with this specification, and are used together with the specification to explain the principles of this specification.

[0040] Figure 1 It is a schematic diagram of a distribution scenario shown according to an exemplary embodiment of this specification.

[0041] Figure 2A It is a flowchart of an information processing method shown according to an exemplary embodiment of this specification.

[0042] Figure 2B It is a schematic diagram of the distribution process of distribution capacity shown according to an exemplary embodiment of this specification.

[0043] Figure 2C It is a schematic diagram of another distribution process of distribution capacity shown according to an exemplary embodiment of this specification.

[0044] Figure 3 It is a schematic diagram of the structure of an electronic device where an information processing device is located shown according to an exemplary embodiment of this specification.

[0045] Figure 4 It is a block diagram of an information processing device shown according to an exemplary embodiment of this specification. Detailed implementation manners

[0046] Here, the exemplary embodiments will be described in detail, and the examples are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with this specification. On the contrary, they are merely examples of devices and methods consistent with some aspects of this specification as detailed in the appended claims.

[0047] The terms used in this specification are only for the purpose of describing specific embodiments and are not intended to limit this specification. The singular forms "a", "the", and "said" used in this specification and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0048] It should be understood that although the terms first, second, third, etc. may be used in this specification to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of this specification, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to a determination".

[0049] Currently, many clients obtain wireless signal information detected by an electronic device at equal time intervals when they need to obtain it; this fixed-time-interval acquisition method, although simple to implement on the client side, poses a greater processing difficulty for the information collected in subsequent analysis and optimization of services. Because in many business scenarios, when optimizing services, a variety of service information needs to be considered comprehensively, rather than just considering wireless signal information. The equal-time-interval acquisition method requires associating the wireless signal information collected at each moment with the service in subsequent data analysis; in addition, the wireless signal information collected in some time periods may be irrelevant to the service and not needed in subsequent analysis, thus causing a waste of data storage resources and also requiring identifying and eliminating the data in subsequent analysis. In some time periods, dense wireless signal information may need to be collected, and the information obtained at equal time intervals in these time periods cannot meet the analysis requirements due to insufficient information volume.

[0050] Taking the delivery scenario as an example, as Figure 1 shown, as Figure 1 shown, is a schematic diagram of a delivery scenario illustrated in this specification according to an exemplary embodiment. Among them, the service provider builds a server 111 and provides a client 122 to the user 121. The user 121 can use the service provided by the service provider through the client 122; the service provider also provides a client 132 for the merchant 131 to use, and the merchant 131 can use the service provided by the service provider through this client 132. Among them, each user can conduct transactions with the merchant through the client. The service provider can generate a transaction order and a delivery waybill based on this transaction and allocate delivery capacity for this delivery waybill. The delivery capacity in this embodiment refers to a party with delivery capabilities, including but not limited to delivery personnel, such as the so-called riders; for example, Figure 1 the delivery capacity 141 and its client 142 shown in

[0051] Exemplarily, after a user places an order, the server (such as an e-commerce platform or other cooperating delivery platforms) needs to generate a corresponding delivery waybill for the delivered items and allocate this delivery waybill to the delivery capacity. Therefore, after receiving this delivery waybill, the delivery capacity will go to the pick-up location to pick up the goods and deliver them to the location designated by the user after successful pick-up.

[0052] For example, in the takeaway scenario, the user places an order with a certain physical store on the takeaway platform through the client. After the takeaway platform generates a corresponding takeaway order, it allocates the delivery waybill to the delivery capacity (such as the client device used by the rider), so that the rider goes to the physical store (i.e., the pick-up location of the delivered items) to pick up the takeaway and delivers it to the location designated by the user.

[0053] It can be seen that the execution process of the delivery waybill includes a pick-up stage of going to the pick-up location and picking up the goods, and a stage of leaving the pick-up location after picking up the goods and delivering them to the location designated by the user.

[0054] In actual business, it is often necessary to locate the position of the delivery capacity. For example, to determine whether the delivery capacity actually reaches the merchant's location, or to accurately determine the time when the delivery capacity reaches the merchant side, etc. And the positions of many merchants are indoors, where the satellite signals will have a large drift, making it difficult to use satellite signals for accurate indoor positioning. Therefore, an indoor positioning solution using wireless signals can be considered.

[0055] There is a corresponding wireless signal at the pick-up location. Taking Wi-Fi (wireless fidelity) as an example, some pick-up locations are equipped with APs (Wireless Access Points). The electronic device is configured with a Wi-Fi module and can detect the Wi-Fi signals emitted by other surrounding electronic devices. The client running on the electronic device can obtain the Wi-Fi signal information detected by the Wi-Fi module.

[0056] Therefore, during the process of the delivery capacity executing the delivery waybill, by detecting the signal characteristics of the wireless signal and combining the characteristics of the wireless signal being restricted in the signal range (it cannot be detected beyond a certain range), the position of the delivery capacity can be determined. For example, during the stage when the delivery capacity goes to the pick-up location and the stage after leaving the pick-up location, the delivery capacity is not within the signal coverage range of the pick-up location, and its mobile terminal cannot detect the wireless signal or can detect the wireless signals of other locations. While during the item pick-up stage, the delivery capacity is at the pick-up location and can detect the wireless signal corresponding to the pick-up location. Therefore, the characteristics of the wireless signal detected by the delivery party during the item pick-up stage can be used as the basis for determining the signal characteristics of the wireless signal corresponding to the pick-up location.

[0057] The inventor found through analyzing the characteristics of the delivery business scenario that using the method of obtaining wireless signal information at equal time intervals brought great difficulties to subsequent analysis. For example, when the delivery capacity is outdoors, the geographical location information can be accurately obtained using satellite signals. Therefore, there is no need to obtain wireless signal information at a high frequency for positioning the delivery capacity, and there is also no need to obtain it at a high frequency during the delivery stage to the user. This can reduce the amount of information for subsequent analysis, lower the analysis difficulty, and also save storage resources. If the merchant is indoors and the delivery capacity is indoors, due to the drift of the geographical location information caused by satellite signals, wireless signal information can be obtained at a relatively high frequency to provide sufficient information support for analyzing the wireless signal characteristics of indoor merchants.

[0058] Based on this, the embodiments of this specification design an information processing solution based on the delivery business scenario, which can adaptively determine a reasonable sampling frequency for the acquisition of wireless signal information according to business requirements in the delivery business scenario.

[0059] As Figure 2A shown, it is a flowchart of an information processing method shown in this specification according to an exemplary embodiment, including the following steps:

[0060] In step 202, during the delivery process of the delivery capacity, at least obtain the geographical location information of the delivery capacity and the waybill information of one or more delivery waybills being delivered by the delivery capacity;

[0061] In step 204, identify the delivery environment state where the delivery capacity is located according to the obtained information;

[0062] In step 206, determine the sampling frequency based on the recognition result, and obtain the first wireless signal information of the electronic device corresponding to the delivery capacity at the sampling frequency.

[0063] This embodiment can be applied to the client of the delivery capacity, and this client runs in an electronic device, which can include a smart phone, a tablet device, a personal digital assistant, a wearable device, an unmanned delivery electronic device, and so on.

[0064] In addition to the above example of Wi-Fi signals, the wireless signals in this embodiment can also include any other wireless communication signals, such as IrDA (Infrared Data Association) infrared data transmission, ZigBee, NFC (Near Field Communication), UWB (Ultra WideBand), DECT (Digital Enhanced Cordless Telecommunications), etc.

[0065] Exemplarily, the wireless signals detected by the electronic device may include at least one type of wireless signal emitted by at least one device, and the wireless signal information may include the name of the wireless signal and the signal strength of the wireless signal; optionally, it may further include device information of the device emitting the wireless signal (such as the MAC (Media Access Control Address) address of the device, etc.). Exemplarily, the wireless signal information obtained by the client at each acquisition moment may be stored as a time-ordered data point sequence, and each data point carries time information and wireless signal information.

[0066] Among them, the collection of any information involved in this embodiment is collected with the authorization and consent of the user; for example, when collecting information related to the delivery capacity, the client of the delivery capacity can prompt the delivery capacity to determine whether the delivery capacity authorizes and consents; when collecting information related to the merchant, the client of the merchant can prompt the merchant to determine whether the merchant authorizes and consents. The information obtained by the client can be desensitized and protected locally through privacy computing and other means.

[0067] Exemplarily, the solution of this embodiment can be executed by the client after the delivery capacity starts to receive orders; among them, there is no order restriction for these steps, and the number of executions of different steps is not necessarily the same, and some steps can also be split into multiple steps, etc. For example, in step 202, the acquisition of the geographical location information of the delivery capacity can be continuously executed multiple times, and its execution timing and number of executions can be different from the step of acquiring the geographical location information of the merchant in one or more delivery orders that the delivery capacity is delivering. The step of acquiring the geographical location information of the merchant can be executed based on the change of the delivery order assigned to the delivery capacity and the delivery status of each delivery order, for example, after determining that the delivery capacity is assigned a new delivery order, after determining that one of the delivery orders being delivered is completed, and so on. And step 204 or 206 can also be disassembled as needed or have different numbers of executions as needed, etc., and this embodiment does not limit this.

[0068] In this embodiment, there can be multiple states of the delivery environment in which the delivery capacity is located, and it can be configured according to business needs in practical applications. For example, for the delivery scenario, the delivery process of the delivery capacity is divided into a pick-up stage and a delivery stage. During the entire delivery process, the delivery capacity is outdoors in most stages, and accurate geographical location information can be obtained through satellite signals and other means when outdoors. The same applies to merchants located outdoors; for some merchants located indoors, when the delivery capacity is indoors and on the way to the merchant, accurate geographical location information cannot be obtained through satellite signals and other means. Therefore, according to the obtained information, it is identified whether the delivery capacity is in the pick-up stage or the delivery stage and whether the delivery capacity is located indoors or outdoors. According to different identification results, the wireless signal information detected by the electronic device is obtained using different sampling frequencies. As an example, different acquisition frequencies can be used depending on whether the delivery capacity is located indoors or outdoors and whether the merchant the delivery capacity is going to is located indoors or outdoors. That is, in this embodiment, the sampling frequency can vary dynamically according to whether the delivery capacity is in the pick-up stage or the delivery stage and whether the delivery capacity is located indoors or outdoors.

[0069] Exemplarily, at a certain moment, there is at least one undelivered delivery order assigned to the delivery capacity. The client can obtain information about each delivery order, such as the merchant information of each delivery order, the information of the user of each delivery order, whether the items of each delivery order have been received, the order of placing the delivery orders, the order of receiving the items in each delivery order, the order of delivering to the user in each delivery order, and the delivery time of each delivery order. Combining with the geographical location information where the delivery capacity is located, it can be determined whether the delivery capacity is going to the merchant to pick up items or going to the user to deliver items at a certain moment.

[0070] Exemplarily, there are various ways to identify whether the merchant that the delivery capacity is going to is located indoors or outdoors. For example, services are provided to the merchant in the business direction, so the geographical location information provided by the merchant can be obtained and stored on the server side. Whether the merchant is located indoors or outdoors can be determined through the geographical location information. Optionally, the information about whether the merchant is located indoors or outdoors can be pre-identified and stored; the client can interact with the server to obtain it.

[0071] Exemplarily, the delivery environment state of the delivery capacity can be identified in various ways, such as being indoors or outdoors, etc. For example, one or more of the following delivery environment information of the delivery capacity can be obtained: light information, magnetic field information, wireless signal information, geographical location information, or attitude information, etc. For example, it can be determined based on the information collected by the electronic device held by the delivery capacity. For example, the indoor and outdoor light information or magnetic field information is different, and it can be determined based on the light information or magnetic field information collected by the electronic device. Or the geographical location information of the delivery capacity can be continuously obtained, and it can be determined whether the delivery capacity is indoors or outdoors according to the geographical location information; optionally, other information can also be combined for identification. For example, when it is determined that the delivery capacity is in the process of going to a merchant, it can be determined whether the merchant is indoors or outdoors according to the geographical location information of the merchant to be visited, so as to determine whether the delivery capacity is indoors or outdoors during the pick-up stage, etc. Or, it can also be determined through the wireless signal information collected by the electronic device. For example, the quantity and intensity of the wireless signal information collected by the delivery capacity in the outdoor state are different from those in the indoor state, and it can be identified based on this whether it is indoors or outdoors. Or, in the indoor state, the delivery capacity is in a walking posture, while in the outdoor state, it is usually cycling, etc., and based on this, it can be identified through the attitude information collected by the electronic device.

[0072] Among them, there are various implementation manners for determining the sampling frequency based on the recognition result and obtaining the first wireless signal information of the electronic device corresponding to the delivery capacity at the sampling frequency. For example, it can include identifying whether the delivery capacity is outdoors or indoors after going to a merchant, and using different sampling frequencies to obtain the wireless signal information detected by the electronic device according to different recognition results, etc.

[0073] As an example, the method can include: in response to the pick-up point of the current task of the delivery capacity being indoors, obtaining the delivery environment information of the delivery capacity, and determining the indoor / outdoor arrival state of the delivery capacity based on the delivery environment information; in response to the delivery capacity reaching the indoor state, triggering an adjustment of the sampling frequency. For example, when the pick-up point of the current task of the delivery capacity is indoors, if the delivery capacity reaches indoors, the sampling frequency can be adjusted, for example, increased, so that more data points can be collected in the indoor state. In practical applications, the delivery capacity may be assigned multiple tasks, and each task requires the delivery capacity to reach the merchant location to pick up goods. The delivery capacity will execute each task according to the priority. Among them, the current task can be the first task to be executed among one or more pending pick-up tasks belonging to the delivery capacity.

[0074] Exemplarily, the method further includes: in response to the delivery capacity being in a stationary state, triggering an adjustment of the sampling frequency; and / or, in response to receiving a pick-up notice of the delivery capacity for the current task, triggering an adjustment of the sampling frequency. For example, when the pick-up point of the current task of the delivery capacity is indoors and the delivery capacity is indoors and in a stationary state, it indicates that the delivery capacity is currently most likely waiting for pick-up at the merchant location. Therefore, the sampling frequency can be adjusted, for example, increased, so that the delivery capacity client can collect more data points related to the merchant location. If a pick-up notice of the delivery capacity for the current task is received, since the delivery capacity will leave the merchant location after pick-up, an adjustment of the sampling frequency can be triggered, for example, reducing the relatively high sampling frequency.

[0075] Exemplarily, the method further includes: after receiving the pick-up notice, in response to the delivery capacity being in an outdoor arrival state, triggering an adjustment of the sampling frequency. When the delivery capacity arrives outdoors after pick-up, the sampling frequency can be adjusted in the outdoor state. For example, the demand for the wireless signal information of the merchant is relatively low in the outdoor state, and a relatively low sampling frequency can be used.

[0076] Exemplarily, the method further includes: in response to the pick-up point of the current task of the delivery capacity being outdoors, obtaining the delivery environment information of the delivery capacity, and determining the indoor / outdoor state of the delivery capacity based on the delivery environment information; in response to the delivery capacity being in an outdoor state, obtaining the duration and maintaining the sampling frequency. If the pick-up point of the current task of the delivery capacity is outdoors, the demand for obtaining the wireless signal information of the merchant is relatively low, and a relatively low sampling frequency can be used. Moreover, the duration of the delivery capacity being in the outdoor state can also be obtained, so as to maintain the sampling frequency according to the duration.

[0077] As an example, the duration can be determined in the following way: obtaining the geographical location information of the delivery capacity, determining the distance between the geographical location information and the pick-up point, and determining the moving speed of the delivery capacity based on the change of the geographical location information within a set time period; determining the duration according to the distance and the moving speed. For example, when the delivery capacity is in the outdoor state and going to a merchant location outdoors, the duration from its location to the merchant location can be determined as the duration.

[0078] In practical applications, there can be various ways to implement the adjustment of the sampling frequency. Exemplarily, the sampling frequency when the delivery capacity is indoors during the pick-up phase is higher than the sampling frequency when the delivery capacity is outdoors during the pick-up phase. For example, when the delivery capacity is indoors during the pick-up phase, it indicates that the merchant's location is indoors, and a higher sampling frequency can be used to obtain wireless signal information; when the delivery capacity is outdoors during the pick-up phase, relatively reliable geographical location information can be obtained, and there is no need to obtain wireless signal information at a high sampling frequency. Among them, the specific value of the sampling frequency can be flexibly determined according to needs, and this embodiment does not limit it.

[0079] Exemplarily, it can also be that the sampling frequency when the delivery capacity is indoors during the pick-up phase is higher than the sampling frequency during the delivery phase. For example, when the delivery capacity is indoors during the pick-up phase, it indicates that the merchant's location is indoors, and a higher sampling frequency can be used to obtain wireless signal information; during the delivery phase, there is no need to obtain wireless signal information at a high sampling frequency. Among them, the specific value of the sampling frequency can be flexibly determined according to needs, and this embodiment does not limit it.

[0080] Exemplarily, the relationship between the sampling frequency when the delivery capacity is outdoors during the pick-up phase and the sampling frequency during the delivery phase can be flexibly determined according to needs in practical applications. For example, they can be the same or different. Optionally, they can be set to be the same, which can reduce the number of times the client adjusts the sampling frequency.

[0081] Exemplarily, when the delivery capacity is indoors during the pick-up phase, it indicates that the merchant's location is indoors. To further obtain rich wireless signal information when the delivery capacity is at the merchant's location, before the step of obtaining the wireless signal information detected by the electronic device by using different sampling frequencies according to different recognition results, the method may further include: if the delivery capacity is in the pick-up phase and is indoors, identifying whether the delivery capacity is in a stationary state; wherein, the sampling frequency when the delivery capacity is in a stationary state is higher than the sampling frequency when the delivery capacity is in a non-stationary state. When the delivery capacity enters the indoor area during the pick-up phase, considering the itinerary of the delivery capacity: starting to enter the indoor area and going to the merchant, when arriving at the merchant, the delivery capacity will stay and pick up items and then leave, this embodiment is further decomposed into the delivery capacity being in a stationary state or a non-stationary state. Among them, the stationary state can indicate that the delivery capacity stays at the merchant to pick up items. Therefore, a relatively high sampling frequency is set for the stationary state, so that rich information can be obtained when the delivery capacity stays at the merchant, providing support for subsequent data analysis. Among them, when the delivery capacity is in a stationary state when entering the indoor area during the pick-up phase, it may not necessarily be at the merchant to pick up items. For example, it may be that the delivery capacity is waiting for the elevator, etc. However, the stationary state covers the situation where the delivery capacity is at the merchant to pick up items, and other situations can be excluded through data analysis later.

[0082] Among them, there are various ways to identify whether the delivery capacity is in a stationary state. For example, if the delivery capacity is in a stationary state, the delivery capacity will not move. Most electronic devices are equipped with an Inertial Measurement Unit (IMU). The electronic device can determine the attitude information of the delivery capacity and the number of steps when the delivery capacity is walking through the data collected by the IMU. The electronic device also provides an interface for the number of steps information for the client to call. Therefore, with the support of the electronic device and the client having the permission to obtain the number of steps information, the client can obtain the number of steps information of the delivery capacity collected by the electronic device and identify whether the delivery capacity is in a stationary state according to the number of steps information. For example, if the change in the number of steps information is very small or there is no change within a set time period, it can be determined that the delivery capacity is in a stationary state. In other examples, there are also other ways to determine whether the delivery capacity is in a stationary state. For example, the wireless signal information obtained by the client at multiple moments, so analyze the change in the wireless signal information obtained at multiple acquisition moments, such as whether the name of the obtained wireless signal changes, whether the intensity of the wireless signal with the same name changes, etc. If the change in the wireless signal information is very small or there is no change within a set time period, it can be determined that the delivery capacity is in a stationary state.

[0083] Exemplarily, when determining the sampling frequency in this embodiment, the duration corresponding to the sampling frequency can also be determined as needed. For example, different sampling frequencies and the durations corresponding to the sampling frequencies can be determined according to different recognition results; according to the determined sampling frequency, the wireless signal information detected by the electronic device is continuously acquired for the duration corresponding to the sampling frequency. For example, during the process of the delivery capacity traveling outdoors to the merchant, there is a certain distance between it and the merchant; based on this, when the delivery capacity is in the pick-up stage and located outdoors, the first sampling frequency can be determined, and then the duration of the current first sampling frequency can be further determined according to the moving speed of the delivery capacity and the distance between the delivery capacity and the merchant to be visited, based on the quotient of the distance and the speed. In other examples, the corresponding duration can be determined according to other sampling frequencies, and can be flexibly configured as needed in practical applications, and this embodiment does not limit this.

[0084] Exemplarily, the way for the client to obtain the wireless signal information can be that the client calls the interface provided by the operating system of the electronic device. After the operating system obtains the wireless signal information collected by the wireless communication module, it is provided to the client through the interface. There can be various ways for the client to obtain the wireless signal information in practical applications. For example, some clients have permissions, and the client can obtain the wireless signal information at a higher sampling frequency (the frequency customized by the client or the frequency set by the operating system). In some electronic devices, the operating system has restrictions on the sampling frequency. For example, the Android operating system usually sets that the client can collect the wireless signal at most 4 times within 2 minutes. If a higher sampling frequency is required, it is necessary to communicate with the manufacturer of the electronic device. Based on this, in this embodiment, the restriction condition information of the electronic device for the client to obtain the wireless signal information can also be obtained, so that when determining the sampling frequency and / or the duration of the sampling frequency, it can be determined based on the restrictions of the restriction condition information.

[0085] Regarding step 204 of respectively determining the sampling frequency according to different recognition results, there can be various different embodiments. Such as Figures 2B to 2C shown, Figure 2B shows the process of the delivery capacity 221 traveling to the mall 222. A client (not shown in the figure) runs in the electronic device held by the delivery capacity 221, and it can communicate with the server 224 through the network 223.

[0086] Exemplarily, if the delivery capacity is outdoors during the pick-up phase, determine the first sampling frequency according to the distance between the delivery capacity and the merchant to be visited and the moving speed of the delivery capacity. In this embodiment, the first sampling frequency can be determined based on the current location information of the delivery capacity and the waybill information of one or more delivery waybills that the delivery capacity is currently delivering. For example, the first sampling frequency can be 0.5 times per minute, that is, sampling once every two minutes, etc.; Figure 2B That is, it shows that the delivery capacity is in the pick-up phase. Optionally, the moving speed of the delivery capacity and the distance between the delivery capacity and the merchant to be visited can also be determined, and the duration of the current first sampling frequency can be further determined according to the quotient of the distance and the speed.

[0087] Exemplarily, if the delivery capacity is about to enter the indoor area from the outdoor area and is located indoors during the pick-up phase, determine the second sampling frequency. As Figure 2C shown by the arrow above, the delivery capacity is located indoors during the pick-up phase. In this embodiment, it can be estimated whether the delivery capacity is about to enter the indoor area. For example, it can be determined that the delivery capacity is approaching the location of the mall where the merchant is located based on the current location information of the delivery capacity, or it can be estimated based on the aforementioned moving speed of the delivery capacity and the distance to the merchant to be visited. After estimating that the delivery capacity is about to enter the indoor area during the pick-up phase, the second sampling frequency can be determined. This second sampling frequency is higher than the first sampling frequency, for example, 1 time per minute, that is, sampling once every minute. After that, when the delivery capacity enters the indoor area from the outdoor area, the wireless signal information can still be obtained at this second sampling frequency. This embodiment anticipates in advance whether the delivery capacity is about to enter the indoor area, so that the first sampling frequency can be adjusted to a higher second sampling frequency in advance before the delivery capacity enters the indoor area, ensuring the amount of information when the delivery capacity is located indoors during the pick-up phase. Optionally, the implementation method for estimating the delivery capacity entering the indoor area can also include an indoor / outdoor detection algorithm based on light, or an indoor / outdoor detection algorithm based on magnetic field information, etc. This embodiment does not limit this.

[0088] Exemplarily, if the delivery capacity is in a stationary state after entering the indoor area from the outdoor area during the pick-up phase, determine the third sampling frequency. For example, as Figure 2CAs shown, below the arrow, it shows that the delivery capacity goes to the merchant and stays at the merchant. When the delivery capacity is indoors, the client can continuously determine whether the delivery capacity is in a stationary state based on the step information. When it is recognized that the delivery capacity is in a stationary state, a third sampling frequency is determined, and this third sampling frequency is higher than the second sampling frequency. For example, it can be 4 times per minute, that is, sampling once every 15 seconds. Among them, if there is no restriction on the electronic device, the duration of this third sampling frequency can last for a certain period of time, and it can be flexibly configured according to needs in practical applications. Optionally, the third sampling frequency obtains information at a higher frequency. If there are restrictions on the electronic device, it can also be determined according to the restriction conditions of the electronic device on the client's acquisition of wireless signal information. For example, the highest frequency restricted by the electronic device for the client to acquire wireless signal information is used as this third sampling frequency, etc. Or, it can also be combined with the restriction conditions of the electronic device on the client's acquisition of wireless signal information to determine the duration of the third sampling frequency. As an example, if the restriction condition of the electronic device operating system is 4 times within two minutes, the duration of sampling once every 15 seconds in this embodiment can be 30 seconds, etc., to obtain dense information when the delivery capacity is in a stationary state; optionally, the duration of this third sampling frequency can also last until the delivery capacity is in a non-stationary state.

[0089] Exemplarily, when receiving the confirmation of picking up the goods information input by the delivery capacity and the delivery capacity is still indoors, a fourth sampling frequency is determined. For example, in some functions provided by the client to the delivery capacity, it is required that the delivery capacity triggers the client to submit the confirmation of picking up the goods information when picking up the goods. For example, the client provides a "Pick up the goods" button for the delivery capacity to trigger, or provides an image upload function, etc., for the delivery capacity to upload the image when picking up the goods at the merchant. After the client detects the confirmation of picking up the goods information input by the delivery capacity, it can obtain the wireless signal information detected by the electronic device once or multiple times again, so as to collect the wireless signal information at the moment when the delivery capacity submits the confirmation of picking up the goods information, providing information support for subsequent data analysis of this place. For example, in practical applications, some delivery capacities may submit the confirmation of picking up the goods information before or after picking up the goods. According to the wireless signal information collected when the delivery capacity submits the confirmation of picking up the goods information in this embodiment, it can be analyzed whether the moment when the delivery capacity submits the confirmation of picking up the goods information is accurate.

[0090] Exemplarily, when receiving the confirmation of picking up the goods information input by the delivery capacity and the delivery capacity is still indoors, a fourth sampling frequency is determined. For example, after obtaining the confirmation of picking up the goods information submitted by the delivery capacity, the delivery capacity enters the picking up the goods stage. For a merchant indoors, when the delivery capacity is still indoors, a fourth sampling frequency lower than the third sampling frequency can be adopted, and this fourth sampling frequency can be the same as or different from the second sampling frequency.

[0091] Exemplarily, after the delivery capacity picks up goods, it is also possible to identify the moment when the delivery capacity leaves the indoor area where the merchant is located and enters the outdoor area. For example, the aforementioned indoor-outdoor detection algorithm can be used to collect wireless signal information once or multiple times at this moment, so that the moment when the delivery capacity leaves the indoor area and enters the outdoor area can be allocated through the collected wireless signal information during subsequent data analysis.

[0092] Next, when the delivery capacity is outdoors and going to deliver goods to the user, the aforementioned first sampling frequency can be adopted.

[0093] In this way, the wireless signal information obtained by the client can be associated with each business node of the delivery capacity in the delivery service, which can better reflect the business attributes and facilitate subsequent data analysis. Moreover, the different sampling frequencies designed according to different business nodes in the solution of this embodiment will not cause redundant information and will not waste resources for data storage.

[0094] Corresponding to the embodiment of the foregoing information processing method, this specification also provides an embodiment of an information processing device and an electronic device to which it is applied.

[0095] The embodiment of the information processing device in this specification can be applied to an electronic device. The device embodiment can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, as a logically meaningful device, it is formed by the processor in the information processing where it is located reading the corresponding computer program instructions in the non-volatile memory into the memory for operation. From the hardware level, as Figure 3 shown, it is a hardware structure diagram of the electronic device where the information processing device in this specification is located. In addition to Figure 3 the processor 310, memory 330, network interface 320, and non-volatile memory 340 shown, for the electronic device where the information processing device 331 is located in the embodiment, usually according to the actual functions of this electronic device, other hardware may also be included, which will not be elaborated here.

[0096] As Figure 4 shown, Figure 4 is a block diagram of an information processing device shown according to an exemplary embodiment of this specification. The device includes:

[0097] An obtaining module 41, configured to: during the delivery process of the delivery capacity, at least obtain the geographical location information of the delivery capacity and obtain the waybill information of one or more delivery waybills that the delivery capacity is delivering;

[0098] An identifying module 42, configured to: identify the delivery environment state where the delivery capacity is located according to the obtained information;

[0099] A sampling module 43, configured to: determine a sampling frequency based on an identification result, and acquire first wireless signal information of an electronic device corresponding to the delivery capacity at the sampling frequency.

[0100] In some examples, the sampling module is further configured to:

[0101] In response to the pick-up point of the current task of the delivery capacity being indoors, acquire delivery environment information of the delivery capacity, and determine the indoor / outdoor arrival status of the delivery capacity based on the delivery environment information;

[0102] In response to the delivery capacity being in an indoor arrival state, trigger an adjustment of the sampling frequency.

[0103] In some examples, the sampling module is further configured to: in response to the delivery capacity being in a stationary state, trigger an adjustment of the sampling frequency; and / or,

[0104] In response to receiving a pick-up notice for the current task of the delivery capacity, trigger an adjustment of the sampling frequency.

[0105] In some examples, the sampling module is further configured to:

[0106] After receiving the pick-up notice, in response to the delivery capacity being in an outdoor arrival state, trigger an adjustment of the sampling frequency.

[0107] In some examples, the delivery capacity being in a stationary state is determined by the following method:

[0108] Acquire step information collected by the electronic device, and determine that the delivery capacity is in a stationary state based on the step information.

[0109] In some examples, the sampling module is further configured to: in response to the pick-up point of the current task of the delivery capacity being outdoors, acquire delivery environment information of the delivery capacity, and determine the indoor / outdoor status of the delivery capacity based on the delivery environment information;

[0110] In response to the delivery capacity being in an outdoor state, acquire a duration and maintain the sampling frequency.

[0111] In some examples, the duration is determined by the following method:

[0112] Acquire geographical location information of the delivery capacity, determine the distance between the geographical location information and the pick-up point, and determine the moving speed of the delivery capacity based on the change of the geographical location information within a set time period;

[0113] Determine the duration according to the distance and the moving speed.

[0114] In some examples, the current task is the task that is to be executed first among one or more pick-up tasks assigned to the delivery capacity.

[0115] In some examples, the delivery environment information of the delivery capacity includes one or more of the following:

[0116] Light information, magnetic field information, wireless signal information, geographical location information, or attitude information.

[0117] In some examples, the sampling module is further configured to:

[0118] Obtain the restriction condition information of the electronic device for the client to obtain wireless signal information, and determine the sampling frequency based on the restriction condition information and the recognition result.

[0119] In some examples, the sampling frequency of the delivery capacity when it is indoors during the pick-up phase is higher than the sampling frequency when it is outdoors during the pick-up phase;

[0120] And / or,

[0121] The sampling frequency of the delivery capacity when it is indoors during the pick-up phase is higher than the sampling frequency during the delivery phase of the delivery capacity.

[0122] In some examples, the sampling module is further configured to:

[0123] If the delivery capacity is in the pick-up phase and is indoors, identify whether the delivery capacity is in a stationary state; wherein, the sampling frequency when the delivery capacity is in a stationary state is higher than the sampling frequency when the delivery capacity is in a non-stationary state.

[0124] In some examples, the sampling module is further configured to:

[0125] Obtain the step information of the delivery capacity collected by the electronic device, and identify whether the delivery capacity is in a stationary state according to the step information.

[0126] In some examples, the sampling module is further configured to:

[0127] Determine the sampling frequency respectively according to different recognition results, and determine the duration corresponding to the sampling frequency;

[0128] According to the determined sampling frequency, continuously obtain the wireless signal information detected by the electronic device for the duration corresponding to the sampling frequency.

[0129] In some examples, the sampling module is further configured to:

[0130] If the delivery capacity is outdoors during the pick-up phase, determine a first sampling frequency according to the distance between the delivery capacity and the merchant to which it is going and the moving speed of the delivery capacity.

[0131] If the delivery capacity is about to enter the indoor area from outdoors and is indoors during the pick-up phase, determine a second sampling frequency.

[0132] If the delivery capacity is stationary after entering the indoor area from outdoors during the pick-up phase, determine a third sampling frequency.

[0133] When receiving the confirmed pick-up information input by the delivery capacity and the delivery capacity is still indoors, determine a fourth sampling frequency.

[0134] In some examples, the sampling module is further configured to:

[0135] If receiving the confirmed pick-up information input by the delivery capacity, obtain the wireless signal information detected by the electronic device; and / or

[0136] If the delivery capacity has completed pick-up indoors, obtain the wireless signal information detected by the electronic device when it is identified that the delivery capacity leaves the indoor area and enters the outdoor area.

[0137] The implementation processes of the functions and roles of each module in the above information processing device are specifically described in the implementation processes of the corresponding steps in the above information processing method, and will not be elaborated here.

[0138] Correspondingly, an embodiment of this specification further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the foregoing information processing method embodiment are implemented.

[0139] Correspondingly, an embodiment of this specification further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the program, the steps of the information processing method embodiment are implemented.

[0140] Correspondingly, an embodiment of this specification further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the information processing method embodiment are implemented.

[0141] For the apparatus embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the descriptions of the method embodiments. The apparatus embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the objectives of the solutions in this specification. A person of ordinary skill in the art can understand and implement them without creative work.

[0142] The information processing method is applied to one or more electronic devices. The electronic device is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions. The hardware of the electronic device includes, but is not limited to, a microprocessor, an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), a digital signal processor (DSP), an embedded device, etc.

[0143] The electronic device can be any electronic product that can interact with users, such as a personal computer, a tablet computer, a smart phone, a personal digital assistant (PDA), a game console, an Internet Protocol Television (IPTV), a smart wearable device, etc.

[0144] The electronic device may further include a network device and / or a user device. Among them, the network device includes, but is not limited to, a single network server, a server group composed of multiple network servers, or a cloud composed of a large number of hosts or network servers based on cloud computing (Cloud Computing).

[0145] The network where the electronic device is located includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (VPN), etc.

[0146] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the particular order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0147] The step divisions of the above various methods are only for clear description. When implemented, they can be combined into one step or some steps can be split and decomposed into multiple steps. As long as the same logical relationship is included, they are all within the protection scope of this patent. Making insignificant modifications to the algorithm or process or introducing insignificant designs, but without changing the core design of its algorithm and process, are all within the protection scope of this application.

[0148] Among them, the description of "specific examples", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiments or examples are included in at least one embodiment or example of this specification. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiments or examples. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0149] Those skilled in the art will readily conceive of other embodiments of this specification after considering the specification and practicing the invention claimed herein. This specification is intended to cover any variations, uses, or adaptations of this specification, which follow the general principles of this specification and include the common general knowledge or conventional technical means in the technical field not claimed in this application. The specification and embodiments are to be considered exemplary only, and the true scope and spirit of this specification are pointed out by the following claims.

[0150] It should be understood that this specification is not limited to the exact structures described above and shown in the figures, and various modifications and changes can be made without departing from its scope. The scope of this specification is limited only by the appended claims.

[0151] The above is only a preferred embodiment of this specification and is not intended to limit this specification. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of this specification shall be included within the protection scope of this specification.

Claims

1. An information processing method, the method comprising: During the delivery process of the delivery capacity, at least obtain the geographical location information of the delivery capacity and obtain the waybill information of one or more delivery waybills being delivered by the delivery capacity; Identify the delivery environment state where the delivery capacity is located according to the obtained information; Determine the sampling frequency based on the recognition result, and obtain the first wireless signal information of the electronic device corresponding to the delivery capacity at the sampling frequency; Wherein, when the delivery capacity is located outdoors during the pick-up stage, the first sampling frequency is adopted; By predicting in advance whether the delivery capacity is about to enter indoors, adjust the first sampling frequency to a higher second sampling frequency in advance before the delivery capacity enters indoors, so that the first wireless signal information collected indoors is denser than the first wireless signal information collected outdoors; After the delivery capacity enters indoors, if it is recognized that the delivery capacity is in a stationary state, adjust to a third sampling frequency higher than the second sampling frequency, and the duration of the third sampling frequency lasts until the delivery capacity is in a non-stationary state, so that the collected wireless signal information covers the stage where the delivery capacity picks up items at the merchant, in order to analyze the wireless signal characteristics of indoor merchants; At the moment of receiving the confirmation pick-up information submitted by the delivery capacity, obtain the wireless signal information of the electronic device to analyze whether the moment of the confirmation pick-up information submitted by the delivery capacity is accurate.

2. The method according to claim 1, the method further comprising: In response to the pick-up point of the current task of the delivery capacity being indoors, obtain the delivery environment information of the delivery capacity, and determine the indoor and outdoor arrival state of the delivery capacity based on the delivery environment information; In response to the delivery capacity being in the indoor arrival state, trigger an adjustment of the sampling frequency.

3. The method according to claim 2, the method further comprising: In response to the delivery capacity being in a stationary state, trigger an adjustment of the sampling frequency; and / or, In response to receiving the pick-up notice of the delivery capacity for the current task, trigger an adjustment of the sampling frequency.

4. The method according to claim 3, the method further comprising: After receiving the pick-up notice, in response to the delivery capacity being in the outdoor arrival state, trigger an adjustment of the sampling frequency.

5. The method according to claim 3, the delivery capacity is in a stationary state, which is determined by the following method: Obtain the step information collected by the electronic device, and determine that the delivery capacity is in a stationary state according to the step information.

6. The method according to claim 1, the method further comprising: In response to the pick-up point of the current task of the delivery capacity being outdoors, obtain the delivery environment information of the delivery capacity, and determine the indoor and outdoor state of the delivery capacity based on the delivery environment information; In response to the delivery capacity being in the outdoor state, obtain the duration and maintain the sampling frequency.

7. The method according to claim 6, the duration is determined by the following method: Obtain the geographical location information of the delivery capacity, determine the distance between the geographical location information and the pick-up point, and determine the moving speed of the delivery capacity based on the change of the geographical location information within a set time period; Determine the duration according to the distance and the moving speed.

8. The method according to claim 2 or 6, wherein the current task is the first task to be executed among one or more pick-up tasks belonging to the delivery capacity.

9. The method according to claim 2 or 6, wherein the delivery environment information of the delivery capacity includes one or more of the following: Light information, magnetic field information, wireless signal information, geographical location information or attitude information.

10. The method according to claim 1, wherein the determining the sampling frequency based on the recognition result includes: Obtain the restriction condition information of the electronic device for the client to obtain wireless signal information, and determine the sampling frequency based on the restriction condition information and the recognition result.

11. An information processing device, the device includes: An obtaining module, configured to: during the delivery process of the delivery capacity, at least obtain the geographical location information of the delivery capacity and obtain the waybill information of one or more delivery waybills that the delivery capacity is delivering; A recognition module, configured to: recognize the delivery environment state where the delivery capacity is located according to the obtained information; A sampling module, configured to: determine the sampling frequency based on the recognition result, and obtain the first wireless signal information of the electronic device corresponding to the delivery capacity at the sampling frequency; Wherein, when the delivery capacity is located outdoors during the pick-up stage, the first sampling frequency is adopted; By predicting in advance whether the delivery capacity is about to enter the indoor area, adjust the first sampling frequency to a higher second sampling frequency in advance before the delivery capacity enters the indoor area, so that the first wireless signal information collected indoors is denser than the first wireless signal information collected outdoors; After the delivery capacity enters the indoor area, if it is recognized that the delivery capacity is in a stationary state, adjust to a third sampling frequency higher than the second sampling frequency, and the duration of the third sampling frequency lasts until the delivery capacity is in a non-stationary state, so that the collected wireless signal information covers the stage where the delivery capacity picks up items at the merchant to analyze the wireless signal characteristics of indoor merchants; At the moment of receiving the confirmation pick-up information submitted by the delivery capacity, obtain the wireless signal information of the electronic device to analyze whether the moment when the confirmation pick-up information submitted by the delivery capacity is accurate.

12. A computer program product, including a computer program, where when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 10 are implemented.

13. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 10 are implemented.

14. A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 10 are implemented.

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