CN114284582A

CN114284582A - Method and device for configuring battery information and unmanned aerial vehicle

Info

Publication number: CN114284582A
Application number: CN202111356988.1A
Authority: CN
Inventors: 熊智豪; 杨余
Original assignee: Guangzhou Xaircraft Technology Co Ltd
Current assignee: Guangzhou Xaircraft Technology Co Ltd
Priority date: 2021-11-16
Filing date: 2021-11-16
Publication date: 2022-04-05

Abstract

The application provides a method and a device for configuring battery information and an unmanned aerial vehicle, wherein the method comprises the following steps: determining a battery parameter threshold; and sending a configuration message to the first unmanned first processor, wherein the configuration message comprises a battery parameter threshold value and is used for instructing the first processor to send the battery parameter threshold value to the battery so as to complete the threshold value configuration of the battery. The technical scheme of this application can be swiftly, intelligent adjust the parameter threshold value to the battery to make unmanned aerial vehicle safe flight.

Description

Method and device for configuring battery information and unmanned aerial vehicle

Technical Field

The application relates to the technical field of unmanned aerial vehicles, in particular to a method and a device for configuring battery information and an unmanned aerial vehicle.

Background

Currently, the battery (e.g., smart battery) of the drone includes a protection circuit. Some thresholds for abnormality determination (e.g., temperature, voltage, etc.) may be set for the protection circuit to protect the battery from damage due to overvoltage or overheating. These thresholds are typically fixed in the firmware of the battery, and when a special situation arises that requires modification of the thresholds in the battery, the thresholds must be modified by releasing a new version of the firmware and updating the battery online. However, the process of releasing a new version of firmware and enabling a user to update the firmware autonomously is inefficient, and if only individual thresholds are modified, the process is complicated.

In view of this, how to intelligently and conveniently modify the intrinsic parameter threshold in the battery becomes a technical problem to be solved urgently.

Disclosure of Invention

In view of this, the embodiment of the application provides a method and an apparatus for configuring battery information, and an unmanned aerial vehicle, which can quickly and intelligently adjust a battery parameter threshold.

In a first aspect, an embodiment of the present application provides a method for configuring battery information, including: determining a battery parameter threshold; and sending a configuration message to the first unmanned first processor, wherein the configuration message comprises a battery parameter threshold value and is used for instructing the first processor to send the battery parameter threshold value to the battery so as to complete the threshold value configuration of the battery.

In some embodiments of the present application, determining a battery parameter threshold comprises: receiving an alarm message sent by the first processor, wherein the alarm message comprises a flight log of the battery and is used for prompting the server that abnormal parameter information exists in the flight log; determining whether the first processor has misjudgment or not according to the flight log; when the first processor has a false positive, a battery parameter threshold is determined.

In some embodiments of the present application, determining whether the first processor has a false positive based on the flight log includes: acquiring first unmanned historical data according to the flight log; and performing data analysis based on the flight log and the historical data to determine whether the first processor has misjudgment.

In some embodiments of the present application, the logbook includes a preset parameter threshold corresponding to the abnormal parameter information, wherein performing data analysis based on the logbook and historical data to determine whether the first processor has a false positive includes: comparing the abnormal parameter information with a preset parameter threshold; and/or comparing the abnormal parameter information with the parameter information of the abnormal case in the historical data; and when the abnormal parameter information does not exceed the preset parameter threshold and/or the parameter information of the abnormal case, determining that the first processor has misjudgment.

In some embodiments of the present application, determining the battery parameter threshold when the first processor has a false positive includes: and determining the battery parameter threshold according to the preset parameter threshold and/or the parameter information of the abnormal case.

In some embodiments of the present application, determining the battery parameter threshold according to the preset parameter threshold and/or the parameter information of the abnormal case includes: taking a numerical value between a preset parameter threshold value and the parameter information of the abnormal case as a battery parameter threshold value; or increasing the preset parameter threshold value by a first set value to serve as a battery parameter threshold value; or reducing the preset parameter threshold value by a second set value to be used as the battery parameter threshold value.

In certain embodiments of the present application, the method further comprises: building at least one data warehouse; and respectively storing the information of the first unmanned aerial vehicle and the information of the at least one second unmanned aerial vehicle connected with the server into at least one data warehouse.

In some embodiments of the present application, the logbook includes an identifier of the battery, wherein obtaining the first unmanned historical data according to the logbook includes: searching a corresponding target data warehouse according to the identity, wherein the target data warehouse is one of at least one data warehouse; historical data stored in the target data warehouse is obtained.

In some embodiments of the present application, determining a battery parameter threshold comprises: and determining a battery parameter threshold according to the flight log of the second unmanned aerial vehicle.

In a second aspect, an embodiment of the present application provides a method for configuring battery information, which is applied to a first drone, where the first drone includes a first processor and a second processor, and the method is performed by the first processor of the first drone, and the method includes: receiving a configuration message sent by a server, wherein the configuration message comprises a battery parameter threshold value and is used for indicating a first processor to send the battery parameter threshold value to a battery; and sending the configuration message to the second processor so that the second processor sends the battery parameter threshold to the battery according to the indication of the configuration message to complete the battery threshold configuration.

In some embodiments of the present application, before receiving the configuration message sent by the server, the method further includes: receiving a flight log sent by the battery through the second processor, wherein the flight log comprises battery parameter information and a preset parameter threshold corresponding to the battery parameter information; comparing the battery parameter information with a preset parameter threshold; and when the battery parameter information exceeds a preset parameter threshold value, sending a warning message to the server.

In a third aspect, an embodiment of the present application provides an apparatus for configuring battery information, which is applied to an unmanned aerial vehicle, where a first unmanned aerial vehicle includes a first processor and a second processor, and the transposing includes: a determination module for determining a battery parameter threshold; the sending module is used for sending a configuration message to the first unmanned processor, wherein the configuration message comprises a battery parameter threshold and is used for indicating the first processor to send the battery parameter threshold to the battery so as to complete the threshold configuration of the battery.

In a fourth aspect, an embodiment of the present application provides an apparatus for configuring battery information, where the transposing includes: the first receiving module is used for receiving a configuration message sent by the server, wherein the configuration message comprises a battery parameter threshold value and is used for indicating the first processor to send the battery parameter threshold value to the battery; and the first sending module is used for sending the configuration message to the second processor so that the second processor can send the battery parameter threshold value to the battery according to the indication of the configuration message to complete the configuration of the battery threshold value.

In a fifth aspect, an embodiment of the present application provides an unmanned aerial vehicle, including: a first processor and a second processor, the first processor being configured to perform the method of configuring battery information as described in the above first aspect; a memory for storing first and second processor executable instructions.

In a sixth aspect, an embodiment of the present application provides a computer-readable storage medium, where the storage medium stores a computer program for executing the method for configuring battery information according to the first aspect, and/or the method for configuring battery information according to the second aspect.

The embodiment of the application provides a method and a device for configuring battery information, and an unmanned aerial vehicle, wherein a more accurate battery parameter threshold is determined by automatically adjusting the battery parameter threshold at a server side, so that the process of modifying the intrinsic parameter threshold in a battery becomes more automatic, and the purposes of conveniently, intelligently and quickly modifying the battery parameter threshold are achieved, thereby avoiding the problem of abnormal flight caused by the unreasonable setting of the battery parameter threshold of the unmanned aerial vehicle, and further ensuring the safe flight of the unmanned aerial vehicle.

Drawings

Fig. 1 is a schematic structural diagram of a system for configuring battery information according to an exemplary embodiment of the present application.

Fig. 2 is a flowchart illustrating a method for configuring battery information according to an exemplary embodiment of the present disclosure.

Fig. 3 is a flowchart illustrating a method for configuring battery information according to another exemplary embodiment of the present application.

Fig. 4 is a flowchart illustrating a method for configuring battery information according to another exemplary embodiment of the present application.

Fig. 5 is a flowchart illustrating a method for configuring battery information according to still another exemplary embodiment of the present application.

Fig. 6 is a flowchart illustrating a method for configuring battery information according to still another exemplary embodiment of the present application.

Fig. 7 is a flowchart illustrating a method for configuring battery information according to still another exemplary embodiment of the present application.

Fig. 8 is a flowchart illustrating a method for configuring battery information according to still another exemplary embodiment of the present application.

Fig. 9 is a schematic structural diagram of an apparatus for configuring battery information according to an exemplary embodiment of the present application.

Fig. 10 is a schematic structural diagram of an apparatus for configuring battery information according to another exemplary embodiment of the present application.

Fig. 11 is a block diagram of a drone provided by an exemplary embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Fig. 1 is a schematic flowchart of a system for configuring battery parameter information according to an exemplary embodiment of the present disclosure. As shown in fig. 1, the first drone 110 may include a first processor 113, a second processor 112, and a battery 111, the second processor 112 being connected with the first processor 113 and the battery 111; the first processor 113 is wirelessly connected to the server 120 outside, and communicates by wire or wirelessly.

The first processor 112 may operate a Battery Management module (not shown), wherein the Battery Management module may be a Battery Management System (BMS), and the embodiment of the present application is not particularly limited to the type of the Battery Management module; the first processor 112 may be an ARM processor (Advanced RISC Machines, ARM), and the embodiment of the present application does not specifically limit the type of the first processor.

The second processor 112 may be a flight controller responsible for the first unmanned aerial vehicle, the second processor may mount a plurality of external modules (e.g., obstacle avoidance devices, electrical tilt modules, etc.), and the second processor 112 may be connected to the battery 111; the second processor 112 may be a Cortex-M processor, and the embodiment of the present application does not specifically limit the type of the second processor.

The server 120 may be a cloud server, and the type of the server is not particularly limited in this embodiment of the application.

The first drone 110 may be equipped with a battery 111, wherein the battery 111 is connected to the second processor 112 of the first drone.

It should be noted that, when the battery needs to communicate with the server, the battery may send information to the second processor, the second processor may send information to the first processor, and then the first processor sends information to the server, otherwise, when the server needs to communicate with the battery, the server may send information to the first processor, the first processor may send information to the second processor, and then the second processor sends information to the battery, so as to implement communication.

For the first unmanned structure and the method for configuring the battery information, please refer to the following embodiments for details.

Fig. 2 is a flowchart illustrating a method for configuring battery information according to an exemplary embodiment of the present disclosure. The method of fig. 2 is performed by a server (e.g., server 120 of fig. 1). As shown in fig. 2, the method of configuring battery information includes the following.

210: a battery parameter threshold is determined.

In particular, the manner in which the server determines the battery parameter threshold may be determined based on the first unmanned aerial vehicle flight log and historical data. In addition, the manner of determining the battery parameter threshold may also be determined at the first unmanned machine's first processor, i.e., the first processor may determine the battery parameter threshold based on the first unmanned machine's flight log and historical data. For a detailed description of such a determination, please refer to the embodiment in fig. 3 for details.

The server can also determine a battery parameter threshold according to the judgment of the second unmanned aerial vehicle flight log, and sends the determined battery parameter threshold to the first unmanned aerial vehicle so as to realize the threshold configuration of the battery of the first unmanned aerial vehicle, wherein the second unmanned aerial vehicle can be the same as the first unmanned aerial vehicle in structure, model and the like.

The server can also periodically analyze a first unmanned aerial vehicle historical abnormal case fed back after sale in the market and/or an abnormal case of a second unmanned aerial vehicle, determine a battery parameter threshold value, and send the battery parameter threshold value to the first unmanned aerial vehicle so as to realize threshold value configuration of the first unmanned aerial vehicle battery.

220: and sending a configuration message to the first unmanned first processor, wherein the configuration message comprises a battery parameter threshold value and is used for instructing the first processor to send the battery parameter threshold value to the battery so as to complete the threshold value configuration of the battery.

Specifically, after determining the battery parameter threshold, the server stores the battery parameter threshold, and when the battery is in an online state (i.e., a state that the battery is installed on the first unmanned machine and the first unmanned machine is turned on), the server sends a configuration message including the battery parameter threshold to the first processor of the first unmanned machine, where the configuration message may be used to instruct the first processor to send the battery parameter threshold to the battery, so that the battery completes modification of the original parameter threshold (i.e., a preset parameter threshold described in the following embodiments).

That is, when the battery is in an offline state, the server can update and cache the battery parameter information, for example, it is not necessary to release the upgrade firmware when the battery is in an online state; alternatively, if the parameters of the battery are to be configured in a hot-update manner, the battery can be configured in advance without paying attention to whether the battery is in an online state.

In one embodiment, the first unmanned machine comprises a first processor, a second processor and a battery, the second processor is connected with the first processor and the battery, the server sends the configuration message to the first unmanned machine, the first processor sends the configuration message to the second processor, and then the second processor sends the configuration message to the battery, so that the battery can modify the original parameter threshold value.

Therefore, the battery parameter threshold is automatically adjusted at the server side, the more accurate battery parameter threshold is determined, the process of modifying the intrinsic parameter threshold in the battery becomes more automatic, the purposes of convenience, intelligence and quick modification of the battery parameter threshold are achieved, the problem of abnormal flight caused by unreasonable setting of the battery parameter threshold of the unmanned aerial vehicle is avoided, and safe flight of the unmanned aerial vehicle is further guaranteed.

Fig. 3 is a flowchart illustrating a method for configuring battery information according to another exemplary embodiment of the present application. The embodiment of fig. 3 is an example of the embodiment of fig. 2, and the same parts are not repeated herein, and the differences are mainly described herein. As shown in fig. 3, the method of configuring battery information includes the following.

310: and receiving an alarm message sent by the first processor, wherein the alarm message comprises a flight log of the battery and is used for prompting the server that abnormal parameter information exists in the flight log.

Specifically, the server may receive an alert message sent by the first unmanned machine first processor, where the alert message is used to prompt the server that there is abnormal parameter information in a current flight log of the battery, that is, data of the battery is abnormal, where the alert message may include an identity of the battery, a preset parameter threshold, and a flight log including battery information, and the flight log may record a plurality of battery parameter information (for example, basic data of the battery), such as temperature information, voltage information, and current information of the battery.

For example, the warning message is that the temperature information of the first unmanned battery is abnormal.

The server may include a monitoring module to monitor whether the first unmanned first processor sent the alert message.

The preset parameter threshold may be an exception flag in the flight log. The preset parameter threshold corresponds to battery parameter information in the flight log, that is, one piece of battery parameter information corresponds to one preset parameter threshold (that is, an abnormal flag). When the battery parameter information exceeds the abnormal flag bit corresponding to the battery parameter information, the first unmanned machine first processor can determine that the parameter information of the battery is abnormal.

For example, when the temperature of the current battery is recorded in the flight log as 55 degrees, and the predicted temperature threshold corresponding to the temperature in the flight log is 50 degrees, the first processor of the drone may determine that the parameter information of the battery of the drone is abnormal.

It should be noted that, when the battery parameter information included in the flight log of the battery exceeds a preset parameter threshold corresponding to the battery parameter information, the battery parameter information is determined as abnormal parameter information, where the number of the abnormal parameter information may be one or more, and the number of the abnormal parameter information is not specifically limited in the embodiments of the present application.

In one embodiment, the battery may be a smart battery.

It should be noted that the logbook of the battery may be basic data of the battery acquired by the first processor of the first unmanned aerial vehicle from the intelligent battery after the battery is online, and then the first processor may upload the logbook (i.e., the basic data of the battery) to the server, where the logbook may include data required for analyzing whether the battery has an abnormal condition, such as current, voltage, electric quantity, and temperature of the battery.

320: and determining whether the first processor has misjudgment or not according to the flight log.

Specifically, the server may obtain historical data corresponding to the first drone stored at the server according to the flight log, where the historical data may include the flight log and the abnormal case uploaded by the first drone in real time or non-real time. The abnormal case can be the first unmanned abnormal case fed back after market sale and the first unmanned abnormal case determined by the server side through calculation.

Further, the server may perform data analysis on the flight log and the historical data to determine whether there is a false positive by the first processor.

In one embodiment, the server may compare the abnormal parameter information in the flight log with a preset parameter threshold corresponding to the abnormal parameter information, and/or compare the abnormal parameter information with the parameter information of the abnormal case in the historical data. And when the abnormal parameter information does not exceed the preset parameter threshold and/or the parameter information of the abnormal case, judging that the first processor has misjudgment, otherwise, judging that the first processor has no misjudgment.

It should be noted that, when the first processor has a misjudgment, it is described that the current preset parameter threshold is unreasonable to set (for example, the preset threshold is set to be low), and then the server may adjust the preset parameter threshold of the battery. When the first processor does not have misjudgment, the current preset parameter threshold is reasonably set, and the server does not adjust the preset parameter threshold of the battery at the moment.

330: and when the first processor has the misjudgment, determining a battery parameter threshold.

Specifically, the server may determine the battery parameter threshold according to a preset parameter threshold and/or parameter information of the abnormal case.

In an embodiment, the server may use a value between the preset parameter threshold and the parameter information of the abnormal case as the battery parameter threshold, or the server may directly increase or decrease the preset parameter threshold by the preset value.

Therefore, the flight log uploaded by the unmanned aerial vehicle is analyzed and judged, the battery parameter threshold value is intelligently adjusted, the process of modifying the intrinsic parameter threshold value in the battery becomes more automatic, the purposes of convenience, intelligence and quick modification of the battery parameter threshold value are achieved, meanwhile, the problem of abnormal flight caused by unreasonable setting of the battery parameter threshold value of the unmanned aerial vehicle is avoided, and safe flight of the unmanned aerial vehicle is further guaranteed.

Fig. 4 is a flowchart illustrating a method for configuring battery information according to another exemplary embodiment of the present application. The embodiment of fig. 4 is an example of the embodiment of fig. 2, and the same parts are not repeated herein, and the differences are mainly described herein. As shown in fig. 4, the method of configuring battery information includes the following.

410: and acquiring historical data of the first unmanned machine according to the flight log.

In particular, the logbook may include an identification of the battery, wherein the identification of the battery may be a serial number (i.e., a unique serial number) of the battery; the server may determine the historical data of the first drone according to the identifier of the battery included in the flight log and/or a number of the first drone (for example, a unique serial number of the first drone) that transmits the flight log, that is, the server may obtain the historical data of the first drone stored in the server according to the identifier of the battery and/or the number of the first drone.

The historical data may include a flight log uploaded by the first unmanned aerial vehicle in real time or non-real time, parameter information of the first unmanned aerial vehicle abnormal case determined by the server through calculation, parameter information of the first unmanned aerial vehicle abnormal case fed back after the market sale, and the like.

420: and performing data analysis based on the flight log and the historical data to determine whether the first processor has misjudgment.

Specifically, the server can perform data analysis according to the flight log and the historical data to judge whether the first processor has misjudgment.

The flight log may include a plurality of battery parameter information, and preset parameter thresholds corresponding to the plurality of battery parameter information. When the battery parameter information included in the flight log of the battery exceeds a preset parameter threshold corresponding to the battery parameter information, the battery parameter information is determined as abnormal parameter information.

The preset parameter threshold may be an upper limit value of the battery parameter information, or a lower limit value of the battery parameter information, and the preset parameter threshold is not specifically limited in the embodiment of the present application. When the preset parameter threshold value is an upper limit value and the battery parameter information in the flight log is larger than the preset parameter threshold value corresponding to the battery parameter information, the battery parameter information is determined as abnormal parameter information; when the preset parameter threshold is a lower limit value and the battery parameter information in the flight log is smaller than the preset parameter threshold corresponding to the battery parameter information, the battery parameter information is determined as abnormal parameter information.

In an embodiment, the server may compare the abnormal parameter information with a preset parameter threshold corresponding to the abnormal parameter information, and/or the server may compare the abnormal parameter information with parameter information of an abnormal case in the historical data. And when the abnormal parameter information does not exceed the preset parameter threshold and/or the parameter information of the abnormal case, determining that the first processor has misjudgment.

Therefore, the method and the device for judging the flight log improve the accuracy of the judgment result and avoid the occurrence of misjudgment events by combining the flight log with historical data.

In an embodiment of the present application, the logbook includes a preset parameter threshold corresponding to the abnormal parameter information, wherein the data analysis is performed based on the logbook and the historical data to determine whether the first processor has a false judgment includes: comparing the abnormal parameter information with a preset parameter threshold; and/or comparing the abnormal parameter information with the parameter information of the abnormal case in the historical data; and when the abnormal parameter information does not exceed the preset parameter threshold and/or the parameter information of the abnormal case, determining that the first processor has misjudgment.

Specifically, the server can compare the abnormal parameter information with a preset parameter threshold corresponding to the abnormal parameter information, when the abnormal parameter information does not exceed the preset parameter threshold, the server can judge that the judgment result of the first processor is misjudgment, otherwise, when the abnormal parameter information exceeds the preset parameter threshold, the server can judge that the judgment result of the first processor is correct, and adjust the preset parameter threshold again to ensure safe flight of the unmanned aerial vehicle.

For example, taking an example that the first processor of the unmanned aerial vehicle (e.g., the first unmanned aerial vehicle) determines that the temperature information in the flight log is abnormal, that is, the abnormal parameter information may be abnormal temperature information, and the server may compare the abnormal temperature information with a preset temperature threshold corresponding to the abnormal temperature information again (that is, the preset parameter information is an upper limit value); when the abnormal temperature information does not exceed (i.e., is smaller than) the preset parameter threshold, the server can judge that the judgment result of the first processor is misjudgment, otherwise, when the abnormal temperature information exceeds (i.e., is larger than) the preset parameter threshold, the server can judge that the judgment result of the first processor is correct, and in order to avoid the situation that the unmanned aerial vehicle explodes due to overhigh temperature, the server can reappear and adjust the preset temperature threshold so that the unmanned aerial vehicle can fly safely.

For another example, taking the case that the first processor of the unmanned aerial vehicle (e.g., the first unmanned aerial vehicle) determines that the electric quantity information in the flight log is abnormal, that is, the abnormal parameter information may be abnormal electric quantity information, and the server may compare the abnormal electric quantity information with a preset electric quantity threshold corresponding to the abnormal electric quantity information again (that is, the preset parameter information is a lower limit value); when the abnormal electric quantity information does not exceed (is larger than) the preset parameter threshold value, the server can judge the judgment result of the first processor as misjudgment, otherwise, when the abnormal electric quantity information exceeds (is smaller than) the preset parameter threshold value, the server can judge that the judgment result of the first processor is correct, the server can reappear and adjust the preset electric quantity threshold value to enable the unmanned aerial vehicle to fly safely in order to avoid the situation that the unmanned aerial vehicle is back flown or falls due to too low electric quantity.

And/or the server can compare the abnormal parameter information with the parameter information of the abnormal case in the historical data. The parameter information of the abnormal case may be parameter information of an abnormal flight event, such as a temperature of the unmanned aerial vehicle when the unmanned aerial vehicle explodes due to an excessively high temperature, and a power of the unmanned aerial vehicle forced to return due to an excessively high battery power. When the abnormal parameter information does not exceed the parameter information of the abnormal case, the server can judge that the judgment result of the first processor has misjudgment; when the abnormal parameter information exceeds the preset parameter threshold, the server can judge that the judgment result of the first processor is correct.

For example, the parameter information of the abnormal case may be a temperature of the drone (e.g., the first drone) when the drone explodes due to an excessively high temperature; the server can compare the abnormal temperature information in the flight log with temperature information (namely, an upper limit value of the temperature) during the explosion of the aircraft, and when the abnormal temperature information does not exceed (namely is smaller than) the temperature information during the explosion of the aircraft, the server can judge that the judgment result of the first processor has misjudgment; when abnormal temperature information surpassed (be greater than) the temperature information when exploding the machine, the server can judge that the judged result of first treater is correct, for the condition of avoiding unmanned aerial vehicle to take place to explode the machine because of the high temperature, the server can reappear the adjustment and preset the temperature threshold value to make unmanned aerial vehicle safe flight.

When the abnormal parameter information does not exceed the preset parameter threshold and/or the parameter information of the abnormal case, the server can determine that the first processing has a misjudgment. That is to say, the server needs to determine the battery parameter threshold value again to preset parameter threshold value to current battery adjusts, in order to guarantee unmanned aerial vehicle's safe flight. It should be noted that, after the battery adjusts the preset parameter threshold according to the battery parameter threshold, the battery parameter threshold will be used as a new preset parameter threshold.

It should be noted that, in the embodiment of the present application, an abnormal data curve image recognition model may also be preset at the server side, where the abnormal data curve image recognition model is used to compare the abnormal parameter information with a preset parameter threshold corresponding to the abnormal parameter information.

It should be further noted that the server may also quickly combine the flight log with the historical data according to a characteristic anomaly analysis algorithm of the entire flight number data, so as to determine whether the determination result of the first processor has a misjudgment.

Therefore, the embodiment of the application improves the accuracy of the judgment result and avoids the occurrence of misjudgment by verifying the judgment result of the first processor again.

In an embodiment of the present application, when there is a false positive in the first processor, determining the battery parameter threshold includes: and determining the battery parameter threshold according to the preset parameter threshold and/or the parameter information of the abnormal case.

Specifically, when the server determines that the first processor has a misjudgment, the server calculates a battery parameter threshold value required to be adjusted by the battery according to a preset parameter threshold value in the flight log and/or parameter information of an abnormal case in the historical data.

It should be noted that, for the detailed description of the step, please refer to the following description of the embodiments, and the detailed description is omitted here to avoid repetition.

Therefore, the flight log and the historical data are combined for judgment, so that the calculated battery parameter threshold value is more accurate, and the condition of misjudgment is avoided. Meanwhile, the battery parameter threshold is automatically adjusted, so that the process of modifying the intrinsic parameter threshold in the battery becomes more automatic, and the purposes of convenience, intelligence and rapid modification of the battery parameter threshold are achieved.

In an embodiment of the present application, determining the battery parameter threshold according to the preset parameter threshold and/or the parameter information of the abnormal case includes: taking a numerical value between a preset parameter threshold value and the parameter information of the abnormal case as a battery parameter threshold value; or increasing the preset parameter threshold value by a first set value to serve as a battery parameter threshold value; or reducing the preset parameter threshold value by a second set value to be used as the battery parameter threshold value.

Specifically, if there is a misjudgment of the first processor, the setting of the preset parameter threshold may be low, so the server may directly increase the preset parameter threshold by the first setting value. The first setting value may be 1, 2 or 3, and the setting of the first setting value is not particularly limited in the embodiments of the present application.

For example, taking the temperature information as an example, when the preset parameter threshold corresponding to the temperature parameter information is 50 degrees, the server determines that the preset parameter threshold is set lower, which results in a situation that the first processor has a misjudgment. At this time, the server may increase the preset parameter threshold by 2 degrees, i.e., the battery parameter threshold is 52 degrees.

In another embodiment, if there is a misjudgment of the first processor, the preset parameter threshold may be set higher, so that the server may directly lower the preset parameter threshold by the second set value.

It should be noted that the first set value and the second set value may be the same or different, and this is not particularly limited in the embodiments of the present application. The setting of the first set value and the second set value may take into account factors such as the external environment, for example, the temperature set in summer may be lower than the temperature set in winter for a temperature threshold.

In a further embodiment, when the server detects that the preset parameter threshold value in the flight log does not exceed the parameter information of the abnormal case in the historical data, the server may use any value between the preset parameter threshold value and the parameter information of the abnormal case as the battery parameter threshold value.

For example, taking temperature information as an example, when the preset parameter threshold is 50 degrees, the temperature of the unmanned aerial vehicle explosion machine caused by the temperature is 65 degrees, and the server may set the battery parameter threshold to any temperature value between 50 degrees and 65 degrees.

Therefore, the parameter threshold of the battery is automatically adjusted through the server side, so that the process of modifying the intrinsic parameter threshold in the battery becomes more automatic and intelligent.

In an embodiment of the present application, the method further includes: building at least one data warehouse; and respectively storing the information of the first unmanned aerial vehicle and the information of the at least one second unmanned aerial vehicle connected with the server into at least one data warehouse.

Specifically, at least one data warehouse can be built at a server end connected with the first unmanned aerial vehicle and the second unmanned aerial vehicle, wherein the data warehouse can be a data warehouse with a number, and the server can be a cloud server. The number of the data warehouse may be a number of the drone associated therewith (e.g., a serial number of the first drone and/or the second drone), may also be an identity of a battery of the drone (e.g., a serial number of the battery), and may also be a serial number of the drone and a serial number of the battery.

The server may store the information related to the first drone and the at least one second drone connected thereto in at least one data warehouse, respectively, that is, the drones (including the first drone and the second drone) correspond to the data warehouse one to one. That is, information about a drone, such as a flight log of the drone, and exception cases associated with the drone, is stored in a data warehouse for subsequent data extraction and analysis.

Therefore, the speed of acquiring the historical data corresponding to the unmanned aerial vehicle is improved by respectively storing the log information of at least one unmanned aerial vehicle connected with the server into at least one data warehouse.

Fig. 5 is a flowchart illustrating a method for configuring battery information according to still another exemplary embodiment of the present application. The embodiment of fig. 5 is an example of the embodiment of fig. 2, and the same parts are not repeated herein, and the differences are mainly described herein.

In one embodiment, the logbook includes an identification of the battery. The identity of the battery may be the serial number of the battery.

For example, the flight log may include a serial number of the battery.

As shown in fig. 5, the method of configuring battery information includes the following.

510: and searching a corresponding target data warehouse according to the identity.

In an embodiment, the target data warehouse is one of the at least one data warehouse.

Specifically, the server may search, according to an identity of a battery included in the flight log and/or a serial number of the first drone, a number of a target data warehouse corresponding to the first drone to determine the target data warehouse, where the number of the target data warehouse may be the serial number of the battery of the first drone, and the target data warehouse stores historical data of the first drone.

It should be noted that the serial number of the drone may be included in the alert message and uploaded to the server, and the embodiment of the present application does not specifically limit the manner of obtaining the serial number of the first drone.

520: historical data stored in the target data warehouse is obtained.

Specifically, the server may obtain historical data stored by the drone from the target data repository.

Therefore, the historical data are acquired from the target data warehouse, and the historical data acquisition efficiency is improved.

In an embodiment of the present application, determining the battery parameter threshold includes: and determining a battery parameter threshold according to the flight log of the second unmanned aerial vehicle.

Specifically, the server can determine the battery parameter threshold according to the judgment of the second unmanned aerial vehicle flight log, and when abnormal parameter information exists in the flight log of the second unmanned aerial vehicle and the first processor of the second unmanned aerial vehicle judges that an error exists, the server can determine the battery parameter threshold of the second unmanned aerial vehicle according to the flight log of the second unmanned aerial vehicle.

It should be noted that the process of determining the battery parameter threshold of the second drone according to the flight log by the server is the same as that of the first drone, and please refer to the description of the above embodiment for details.

And then the server sends the determined battery parameter threshold value to the first unmanned aerial vehicle according to the flight log of the second unmanned aerial vehicle so as to realize the threshold value configuration of the battery of the first unmanned aerial vehicle, wherein the second unmanned aerial vehicle can be the same as the first unmanned aerial vehicle in structure, model and the like, namely the second unmanned aerial vehicle and the first unmanned aerial vehicle can be batteries with the same application model.

It should be noted that the server may periodically gather the judgment of the second drone flight log, and synchronize the determined battery parameter threshold to the remaining drones connected to the server, so that the remaining drones may avoid the occurrence of the same abnormal event.

Therefore, the battery parameter threshold determined by the flight log of the second unmanned aerial vehicle is synchronized to the rest unmanned aerial vehicles, so that the rest unmanned aerial vehicles can adjust the battery parameter threshold in time, and the occurrence frequency of the abnormal situation of the battery is reduced.

Fig. 6 is a flowchart illustrating a method for configuring battery information according to still another exemplary embodiment of the present application. The method of fig. 6 is performed by a first unmanned machine's first processor (e.g., first processor 113 of fig. 1).

In one embodiment, the first drone includes a first processor and a second processor.

Specifically, referring to fig. 1, the first drone 110 may include a first processor 113 and a second processor 112, the first processor 113 may be connected with the second processor 112, the first drone 110 may further include a battery 111, and the battery 111 may be connected with the second processor 112.

As shown in fig. 6, the method of configuring battery information includes the following.

610: and receiving a configuration message sent by the server, wherein the configuration message comprises a battery parameter threshold value used for instructing the first processor to send the battery parameter threshold value to the battery.

Specifically, the first unmanned first processor may receive a configuration message sent by the server, where the configuration message may include a battery parameter threshold for instructing the first processor to send the battery parameter threshold to the battery, and the parameter configuration of the battery is completed.

620: and sending the configuration message to the second processor so that the second processor sends the battery parameter threshold to the battery according to the indication of the configuration message to complete the battery threshold configuration.

Specifically, the first unmanned first processor sends a configuration message sent by the server to the second processor, and the second processor may send the configuration message to the battery according to an indication of the configuration message when receiving the configuration message, where the configuration message includes a battery parameter threshold.

It should be noted that the first processor may further include a battery management module, such as a BMS. The

above steps

610 and 620 may be performed by a battery management module of the first processor.

It should be further noted that the embodiment in fig. 6 is a composition of the embodiment in fig. 2 from different angles, and the same parts are not repeated herein, where the differences are emphasized.

Therefore, the battery parameter threshold value is obtained from the server, so that firmware updating is not needed in the process of configuring the battery parameter information, and the modification of the parameter information in the battery is quickly and conveniently realized. Meanwhile, the first processor is in communication interaction with the server, the calculation pressure of the second processor is released, and the second processor is enabled to be more focused on the first unmanned-machine flight control.

Fig. 7 is a flowchart illustrating a method for configuring battery information according to still another exemplary embodiment of the present application. The embodiment of fig. 7 is an example of the embodiment of fig. 6, and the same parts are not repeated, and the differences are mainly described here. As shown in fig. 7, the method of configuring battery information includes the following.

710: and receiving the flight log sent by the battery through the second processor.

In one embodiment, the flight log includes battery parameter information and a preset parameter threshold corresponding to the battery parameter information.

Specifically, when the battery is in an online state, the first processor of the first unmanned machine sends a message for acquiring basic data of the battery to the battery, such as acquiring a flight log of the battery. The battery sends the logbook to the first unmanned second processor, and then the first unmanned second processor sends the logbook to the first processor. That is, the second processor only forwards the message during the communication between the battery and the first processor, that is, the first unmanned first processor receives the flight log sent by the battery through the second processor.

The flight log comprises battery parameter information and a preset parameter threshold corresponding to the battery parameter information, wherein the preset parameter threshold can be an abnormal zone bit of the corresponding battery parameter information.

720: and comparing the battery parameter information with a preset parameter threshold.

Specifically, the first unmanned machine first processor may compare the battery parameter information in the flight log with a preset parameter threshold (i.e., an abnormal flag).

In one example, the first processor may determine that the parameter information of the first unmanned battery is abnormal when the parameter information of the battery exceeds a preset parameter threshold.

In another example, the first processor may determine that there is no abnormal condition in the parameter information of the first unmanned battery when the parameter information of the battery does not exceed a preset parameter threshold.

It should be noted that the logbook may include a plurality of battery parameter information, such as temperature, current, and voltage. And comparing the plurality of battery parameter information with preset parameter thresholds corresponding to the battery parameter information respectively. For example, the temperature information is compared with a preset threshold corresponding to the temperature, and the current is compared with a preset threshold corresponding to the current.

When any one of the plurality of battery parameter information exceeds the corresponding preset parameter threshold, the first processor of the first unmanned machine judges that the parameter information of the first unmanned machine battery is abnormal.

730: and when the battery parameter information exceeds a preset parameter threshold value, sending a warning message to the server.

Specifically, when the first unmanned machine first processor determines that the battery parameter information exceeds a preset parameter threshold corresponding to the battery parameter information, the first processor sends a warning message to the server for prompting that the parameter information of the first unmanned machine battery of the server is abnormal.

Therefore, the flight log of the unmanned aerial vehicle is preliminarily judged in the first processor, and when the parameter information in the flight log is abnormal, the warning message is sent to the server, so that the server can adjust the parameters of the unmanned aerial vehicle with the abnormal parameters more pertinently, and the calculation pressure of the server is reduced.

In an embodiment of the present application, the method further includes: and encrypting the flight log, and sending the encrypted flight log to a server in real time.

Specifically, when the first unmanned machine first processor sends the logbook to the server, the logbook may be encrypted first, and then the encrypted logbook may be sent to the server. The encryption mode is not particularly limited in the embodiment of the application, and can be flexibly set according to actual conditions.

In an embodiment, the first unmanned first processor may further comprise a battery management module, such as a BMS. When the first processor receives the flight log sent by the battery, the BMS module encrypts the flight log and sends the encrypted flight log to the server.

Therefore, the safety of unmanned aerial vehicle and server data transmission is improved by encrypting and uploading the flight log.

810: the battery sends a flight log to a second processor of the drone, wherein the flight log includes base data of the battery.

820: the second processor receives the flight log sent by the battery and sends the flight log to the first processor.

830: the first processor receives the flight log sent by the second processor, and judges whether the unmanned aerial vehicle flies abnormally or not according to the flight log which comprises the battery parameter information and a preset parameter threshold value corresponding to the battery parameter information.

840: and when the first processor judges that abnormal flight exists, sending an alarm message to the server. Wherein the alert message includes a flight log.

850: and the server determines whether the judgment result of the first processor is correct according to the flight log and historical data acquired based on the flight log. That is, the server determines whether the first processor has a false determination.

860: when the server judges that the first processor has a misjudgment condition (which indicates that the preset parameter threshold is unreasonable), the server can judge and determine the battery parameter threshold according to the flight log and the historical data so as to adjust the preset parameter threshold included in the flight log.

870: the server sends a configuration message to a first processor of the drone. The configuration message includes the server calculated battery parameter threshold. The configuration message is also used to instruct the first processor to send the battery parameter threshold to the battery to adjust the parameter threshold of the battery.

880: the first processor sends the configuration message to the second processor according to the indication of the configuration message.

890: and the second processor sends a configuration message to the battery so that the battery can adjust the preset parameter threshold value of the battery according to the battery parameter threshold value included in the configuration message.

Fig. 9 is a schematic structural diagram of an apparatus for configuring battery information according to an exemplary embodiment of the present application. As shown in fig. 9, the apparatus 900 for configuring battery information includes: a determination module 910 and a sending module 920.

The determining module 910 is configured to determine a battery parameter threshold; the sending module 920 is configured to send a configuration message to the first unmanned machine, where the configuration message includes a battery parameter threshold, and is used to instruct the first processor to send the battery parameter threshold to the battery, so as to complete threshold configuration of the battery.

The embodiment of the application provides a device of configuration battery information, through adjusting battery parameter threshold value at the server side is automatic, confirm more accurate battery parameter threshold value, make the process of modifying intrinsic parameter threshold value in the battery become more automatic, reached convenient, the purpose of intelligence and quick modification battery parameter threshold value, unmanned aerial vehicle has also been avoided simultaneously because of the unreasonable setting of battery parameter threshold value, lead to the problem of unusual flight appearing, unmanned aerial vehicle's safe flight has further been ensured.

According to an embodiment of the present application, the determining module 910 is configured to receive an alert message sent by the first processor, where the alert message includes a flight log of a battery, and is configured to prompt a server that abnormal parameter information exists in the flight log; determining whether the first processor has misjudgment or not according to the flight log; when the first processor has a false positive, a battery parameter threshold is determined.

According to an embodiment of the present application, the determining module 910 is configured to obtain historical data of a first unmanned machine according to a flight log; and performing data analysis based on the flight log and the historical data to determine whether the first processor has misjudgment.

According to an embodiment of the present application, the flight log includes a preset parameter threshold corresponding to the abnormal parameter information, and the determining module 910 is configured to compare the abnormal parameter information with the preset parameter threshold; and/or comparing the abnormal parameter information with the parameter information of the abnormal case in the historical data; and when the abnormal parameter information does not exceed the preset parameter threshold and/or the parameter information of the abnormal case, determining that the first processor has misjudgment.

According to an embodiment of the present application, the determining module 910 is configured to determine the battery parameter threshold according to a preset parameter threshold and/or parameter information of an abnormal case.

According to an embodiment of the present application, the determining module 910 is configured to use a value between a preset parameter threshold and parameter information of an abnormal case as a battery parameter threshold; or increasing the preset parameter threshold value by a first set value to serve as a battery parameter threshold value; or reducing the preset parameter threshold value by a second set value to be used as the battery parameter threshold value.

According to one embodiment of the application, at least one data warehouse is built; and respectively storing the information of the first unmanned aerial vehicle and the information of the at least one second unmanned aerial vehicle connected with the server into at least one data warehouse.

According to an embodiment of the present application, the logbook includes an identity of the battery, and the determining module 910 finds a corresponding target data warehouse according to the identity, where the target data warehouse is one of the at least one data warehouse; historical data stored in the target data warehouse is obtained.

According to an embodiment of the present application, the determining module 910 is configured to determine the battery parameter threshold according to a flight log of the second drone.

It should be understood that, for the specific working processes and functions of the determining module 910 and the sending module 920 in the foregoing embodiments, reference may be made to the description in the method for configuring battery information provided in the foregoing embodiments of fig. 1 to 5, and in order to avoid repetition, details are not described here again.

Fig. 10 is a schematic structural diagram of an apparatus for configuring battery information according to an exemplary embodiment of the present application. As shown in fig. 10, the apparatus 1000 for configuring battery information includes: a second receiving module 1010, a comparing module 1020, a second transmitting module 1030, a first receiving module 1040, and a first transmitting module 1050.

The first receiving module 1040 is configured to receive a configuration message sent by the server, where the configuration message includes a battery parameter threshold, and is used to instruct the first processor to send the battery parameter threshold to the battery; the first sending module 1050 is configured to send a configuration message to the second processor, so that the second processor sends the battery parameter threshold to the battery according to the indication of the configuration message, so as to complete the battery threshold configuration.

The embodiment of the application provides a device for configuring battery information, which determines a more accurate battery parameter threshold by automatically adjusting the battery parameter threshold at a server, so that the process of modifying the intrinsic parameter threshold in a battery becomes more automatic, and the purposes of convenience, intelligence and rapid modification of the battery parameter threshold are achieved.

According to an embodiment of the present application, the second receiving module 1010 is configured to receive a flight log sent by a battery through the second processor, where the flight log includes battery parameter information and a preset parameter threshold corresponding to the battery parameter information; the comparison module 1020 is configured to compare the battery parameter information with a preset parameter threshold; the second sending module 1030 is configured to send an alert message to the server when the battery parameter information exceeds a preset parameter threshold.

According to an embodiment of the present application, the first sending module 1050 is configured to encrypt the flight log, and send the encrypted flight log to the server in real time.

It should be understood that, for specific working processes and functions of the second receiving module 1010, the comparing module 1020, the second sending module 1030, the first receiving module 1040 and the first sending module 1050 in the foregoing embodiments, reference may be made to the description in the method for configuring battery information provided in the foregoing embodiments of fig. 6 and fig. 7, and in order to avoid repetition, details are not described here again.

Fig. 11 is a block diagram of a drone 1100 provided by an exemplary embodiment of the present application.

Referring to fig. 11, the drone 1100 includes a processing component 1110 that further includes one or more processors, and memory resources, represented by memory 1120, for storing instructions, such as applications, that are executable by the processing component 1110. The application programs stored in memory 1120 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1110 is configured to execute instructions to perform the above-described method of configuring battery information.

The drone 1100 may also include a power component configured to perform power management of the drone 1100, a wired or wireless network interface configured to connect the drone 1100 to a network, and an input-output (I/O) interface. The drone 1100 may be operated based on an operating system stored in memory 1120, such as a Windows Server^TM，Mac OS X^TM，Unix^TM，Linux^TM，FreeBSD^TMOr the like.

A non-transitory computer readable storage medium having instructions therein which, when executed by a processor of the drone 1100, enable the drone 1100 to perform a method of configuring battery information, comprising: determining a battery parameter threshold; sending a configuration message to a first unmanned first processor, the configuration message including a battery parameter threshold for instructing the first processor to send the battery parameter threshold to the battery to complete threshold configuration of the battery

Or receiving a configuration message sent by the server, wherein the configuration message comprises a battery parameter threshold value and is used for indicating the first processor to send the battery parameter threshold value to the battery; and sending the configuration message to the second processor so that the second processor sends the battery parameter threshold to the battery according to the indication of the configuration message to complete the battery threshold configuration.

All the above optional technical solutions can be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program check codes, such as a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.

It should be noted that, in the description of the present application, the terms "first", "second", "third", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, "a plurality" means two or more unless otherwise specified.

The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modifications, equivalents and the like that are within the spirit and principle of the present application should be included in the scope of the present application.

Claims

1. A method of configuring battery information, comprising:

determining a battery parameter threshold;

and sending a configuration message to a first unmanned first processor, wherein the configuration message comprises the battery parameter threshold and is used for instructing the first processor to send the battery parameter threshold to a battery so as to complete the threshold configuration of the battery.

2. The method of claim 1, wherein determining the battery parameter threshold comprises:

receiving an alarm message sent by the first processor, wherein the alarm message comprises a flight log of a battery and is used for prompting a server that abnormal parameter information exists in the flight log;

determining whether the first processor has misjudgment or not according to the flight log;

when the first processor has the misjudgment, determining the battery parameter threshold.

3. The method of configuring battery information as recited in claim 2, wherein said determining whether the first processor has a false positive based on the logbook comprises:

acquiring historical data of the first unmanned aerial vehicle according to the flight log;

and performing data analysis based on the flight log and the historical data to determine whether the first processor has misjudgment.

4. The method of configuring battery information of claim 3, wherein the flight log includes a preset parameter threshold corresponding to the abnormal parameter information,

wherein the analyzing data based on the flight log and the historical data to determine whether the first processor has a false positive includes:

comparing the abnormal parameter information with the preset parameter threshold; and/or

Comparing the abnormal parameter information with the parameter information of the abnormal cases in the historical data;

and when the abnormal parameter information does not exceed the preset parameter threshold and/or the parameter information of the abnormal case, determining that the first processor has the misjudgment.

5. The method of claim 4, wherein determining a battery parameter threshold when the first processor has the false positive comprises:

and determining the battery parameter threshold according to the preset parameter threshold and/or the parameter information of the abnormal case.

6. The method according to claim 5, wherein the determining the battery parameter threshold according to the preset parameter threshold and/or the parameter information of the abnormal case comprises:

taking a numerical value between the preset parameter threshold and the parameter information of the abnormal case as the battery parameter threshold; or

Increasing the preset parameter threshold value by a first set value to serve as the battery parameter threshold value; or

And reducing the preset parameter threshold value by a second set value to serve as the battery parameter threshold value.

7. The method of configuring battery information of claim 3, further comprising:

building at least one data warehouse;

and respectively storing the information of the first unmanned aerial vehicle and the information of the at least one second unmanned aerial vehicle connected with the server into the at least one data warehouse.

8. The method of configuring battery information of claim 7, wherein the logbook comprises an identification of the battery,

wherein the obtaining historical data of the first unmanned aerial vehicle according to the flight log comprises:

searching a corresponding target data warehouse according to the identity, wherein the target data warehouse is one of the at least one data warehouse;

and acquiring the historical data stored in the target data warehouse.

9. The method of claim 1, wherein determining the battery parameter threshold comprises:

and determining the battery parameter threshold according to the flight log of the second unmanned aerial vehicle.

10. A method for configuring battery information, the method being applied to a first drone, wherein the first drone includes a first processor and a second processor, the first drone is wirelessly connected to a server, and the method is performed by the first processor of the first drone, the method comprising:

receiving a configuration message sent by the server, wherein the configuration message comprises a battery parameter threshold value used for instructing the first processor to send the battery parameter threshold value to a battery;

sending the configuration message to the second processor, so that the second processor sends the battery parameter threshold to the battery according to the indication of the configuration message, so as to complete the battery threshold configuration.

11. The method of claim 10, further comprising, before the receiving the configuration message sent by the server:

receiving a flight log sent by the battery through the second processor, wherein the flight log comprises battery parameter information and a preset parameter threshold corresponding to the battery parameter information;

comparing the battery parameter information with the preset parameter threshold;

and when the battery parameter information exceeds the preset parameter threshold value, sending a warning message to the server.

12. An apparatus for configuring battery information, comprising:

a determination module for determining a battery parameter threshold;

a sending module, configured to send a configuration message to a first unmanned first processor, where the configuration message includes the battery parameter threshold, and is used to instruct the first processor to send the battery parameter threshold to the battery, so as to complete threshold configuration of the battery.

13. An apparatus for configuring battery information, the apparatus being applied to a first drone, wherein the first drone includes a first processor and a second processor, the apparatus comprising:

a first receiving module, configured to receive a configuration message sent by a server, where the configuration message includes a battery parameter threshold, and is used to instruct the first processor to send the battery parameter threshold to the battery;

the first sending module is configured to send the configuration message to the second processor, so that the second processor sends the battery parameter threshold to the battery according to the indication of the configuration message, so as to complete the configuration of the battery threshold.

14. An unmanned aerial vehicle, comprising:

a first processor and a second processor, the first processor for performing the method of configuring battery information as claimed in claim 10 or 11 above;

a memory for storing the first processor and the second processor executable instructions.

15. A computer-readable storage medium storing a computer program for performing the method of configuring battery information as claimed in any one of claims 1 to 9 and/or for performing the method of configuring battery information as claimed in claim 10 or 11.