CN111930874A - Data acquisition method and electronic equipment - Google Patents
Data acquisition method and electronic equipment Download PDFInfo
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- CN111930874A CN111930874A CN202010952919.6A CN202010952919A CN111930874A CN 111930874 A CN111930874 A CN 111930874A CN 202010952919 A CN202010952919 A CN 202010952919A CN 111930874 A CN111930874 A CN 111930874A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
Abstract
The disclosure relates to a data acquisition method and an electronic device. The method comprises the following steps: receiving a map data acquisition task sent by a server, wherein the acquisition task comprises target area information; triggering the map data acquisition task after judging that the target area is entered according to the target area information; collecting map data in the target area according to the map data collection task; and after the target area is determined to be left according to the target area information, sending the acquired map data in the target area to the server. The scheme provided by the disclosure can ensure the integrity of map data reporting.
Description
Technical Field
The present disclosure relates to the field of map technologies, and in particular, to a data acquisition method and an electronic device.
Background
In recent years, digital maps have become more widely used, such as navigation, automatic driving, and the like. At present, map data is mainly collected by a map collecting vehicle. When the collection vehicle runs on a road needing to be collected, the vehicle machines configured on the vehicle can collect map data along the road and report the map data to the map server.
At present, the vehicle machine generally reports data in real time while collecting the data, and in the scheme, the requirement on network connection is high, and when the network connection between the vehicle machine and the map server is unstable, map data is easily lost.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides a data acquisition method and an electronic device, which can ensure the integrity of map data reporting.
According to a first aspect of the embodiments of the present disclosure, a data acquisition method is provided, which is applied to a vehicle machine, and includes:
receiving a map data acquisition task sent by a server, wherein the acquisition task comprises target area information;
triggering the map data acquisition task after judging that the target area is entered according to the target area information;
collecting map data in the target area according to the map data collection task;
and after the target area is determined to be left according to the target area information, sending the acquired map data in the target area to the server.
In some embodiments, the triggering the map data collection task after determining that the target area is entered according to the target area information includes:
and after entering the target area is judged according to the target area information, if the local resources meet the preset task execution conditions, triggering the map data acquisition task.
In some embodiments, the map data collection task further comprises task time limit information;
before triggering the map data acquisition task, the method further comprises the following steps: and judging whether the task time limit is not exceeded, if so, executing the map data acquisition task.
In some embodiments, the sending the collected map data in the target area to the server after determining to leave the target area according to the target area information includes:
judging whether preset data sending conditions are met or not after the target area is separated according to the target area information, and if yes, sending the collected map data in the target area to the server.
In some embodiments, after determining that the target area is entered according to the target area information, triggering the map data collection task includes:
and judging whether the existing data acquisition task quantity of the vehicle machine is smaller than a preset value, if so, triggering the map data acquisition task after judging that the vehicle machine enters a target area according to the target area information.
According to a second aspect of the embodiments of the present disclosure, there is provided a data acquisition method applied to a server, including:
sending a map data acquisition task to a vehicle machine, wherein the acquisition task comprises target area information;
and receiving the acquired map data in the target area sent by the vehicle machine after leaving the target area.
In some embodiments, the sending the map data collection task to the car machine includes:
selecting the car machines which have passed through the target area from the car machines to be selected;
and sending a map data acquisition task to the selected vehicle machine.
In some embodiments, the sending the map data collection task to the car machine includes:
selecting the car machines which have passed through the target area within a specific time period from the car machines to be selected;
and sending a map data acquisition task to the selected vehicle machine.
In some embodiments, the sending the map data collection task to the selected car machine includes:
and for each selected vehicle machine, judging whether the existing data acquisition task quantity of the vehicle machine is smaller than a preset value, and if so, sending a map data acquisition task to the vehicle machine.
According to a third aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:
a processor; and
a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
according to the technical scheme provided by the embodiment of the disclosure, a vehicle machine receives a map data acquisition task sent by a server, wherein the acquisition task comprises target area information; the vehicle machine triggers the map data acquisition task after judging that the vehicle machine enters a target area according to the target area information; the vehicle machine collects the map data in the target area according to the map data collection task; and after the vehicle machine judges that the vehicle machine leaves the target area according to the target area information, sending the acquired map data in the target area to the server. Through the processing, the vehicle machine can acquire map data from a target area according to a task issued by the server, start data acquisition after entering the target area, stop data acquisition after leaving the target area and send the acquired data to the server. The collected data are sent in a centralized mode after the vehicle-mounted device leaves the target area, the vehicle-mounted device can report the collected data when the network connection state is good, and the defect that data are easy to lose due to unstable network connection when the data are sent in real time in the data collection process in the related technology is overcome.
According to the technical scheme, before the server sends the tasks to the car machines, the car machines which have passed through the target area within a specific time period are selected from the car machines to be selected, the server judges whether the existing data acquisition task quantity of the car machines is smaller than a preset value or not, through the processing, the server can selectively send the map data acquisition tasks to the car machines, and the execution efficiency of the map data acquisition tasks of the car machines can be improved. Before the server receives the data, whether the car machine passes through the target area according to preset conditions or not and whether the car machine leaves the target area or not are judged. Through the processing, the integrity of the map data received by the server can be ensured, and the data loss phenomenon caused by network reasons in the related technology can be avoided.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in greater detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts throughout.
Fig. 1 is a schematic flow chart illustrating a data acquisition method applied to a vehicle machine according to an exemplary embodiment of the present disclosure;
fig. 2 is another schematic flow chart illustrating a data collection method applied to a vehicle machine according to an exemplary embodiment of the present disclosure;
FIG. 3 is a schematic flow chart diagram illustrating a data collection method applied to a server according to an exemplary embodiment of the present disclosure;
FIG. 4 is another flow chart diagram illustrating a data collection method applied to a server according to an exemplary embodiment of the present disclosure;
FIG. 5 is a schematic diagram of an electronic device shown in accordance with an exemplary embodiment of the present disclosure;
fig. 6 illustrates an exemplary architecture of an application system of an embodiment of the present disclosure.
Detailed Description
Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It should be understood that although the terms "first," "second," "third," etc. may be used in this disclosure to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present disclosure, "a plurality" means two or more unless specifically limited otherwise.
The disclosure provides a data acquisition method and electronic equipment, which can improve map data acquisition efficiency and ensure the integrity of map data in the data acquisition and uploading process.
Technical solutions of embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
Referring to fig. 6, fig. 6 shows an exemplary architecture of an application system according to an embodiment of the present disclosure. In the system shown in fig. 6, a map server 100 and a plurality of car machines 200 are included.
The vehicle machine 200 may be a device configured on a specialized map-capturing vehicle, including an image-capturing module 210 and a positioning module 220. The image acquisition module 210 is used for acquiring road image data, and may be a camera, a laser radar module, or a combination thereof, for example. The location module 220 is used to obtain vehicle geographic location data and may be, for example, a GPS location module. The car machine 200 provides the road image data and the corresponding geographical location data to the map server 100. It is understood that the vehicle machine 200 may also be a device configured on other common vehicles, such as a vehicle recorder with a GPS.
The map server 100 may be a single server device, or may be a cluster server formed by a plurality of individual servers. The map server 100 may integrate the road image data and the corresponding geographic position data uploaded by the vehicle devices 200 of different map collection vehicles into map data for navigation, automatic driving, and the like.
The data acquisition method provided by the embodiment of the present disclosure is explained below with reference to fig. 6.
Fig. 1 is a schematic flow chart illustrating a data acquisition method applied to a vehicle machine according to an exemplary embodiment of the present disclosure.
Referring to fig. 1, a data acquisition method provided by the embodiment of the present disclosure includes:
in step 101, a map data collection task sent by a server is received, where the collection task includes target area information.
In the step, after the vehicle machine and the server establish network connection, the vehicle machine can receive a map data acquisition task sent by the server, wherein the map data acquisition task comprises position information of a target area, so that the vehicle machine can acquire the map data when a vehicle in which the vehicle is located runs to the target area.
In step 102, after entering a target area is determined according to the target area information, the map data acquisition task is triggered.
In the step, the vehicle machine can judge whether to enter the target area according to the positioning, and trigger the map data acquisition task to start data acquisition after judging that the vehicle machine enters the target area.
In one implementation mode, after the vehicle enters the target area, whether the local resources of the vehicle machine meet preset task execution conditions or not can be judged, and if yes, the map data acquisition task is triggered.
It can be understood that, in another implementation manner, after receiving the map data acquisition task sent by the server, it may be determined whether the amount of the existing data acquisition task of the vehicle machine is smaller than a preset value, if so, the map data acquisition task is triggered after determining to enter the target area according to the target area information, and if the amount of the existing data acquisition task of the vehicle machine is greater than or equal to the preset value, the map data acquisition task is not triggered. By setting the data acquisition task amount condition of the car machine, a plurality of car machines can be enabled to distribute data acquisition tasks evenly, and the map data acquisition can be carried out by utilizing the car machine resources more effectively.
In step 103, map data in the target area is collected according to the map data collection task.
In the step, the map data acquisition task may include data information to be acquired, and the vehicle machine acquires corresponding data in the target area according to the data information to be acquired. Data acquisition can utilize the relevant device of installation on the vehicle, for example, data acquisition device can be the camera, sensor etc. of installing on the vehicle, and data acquisition device and car machine communication are connected, can be with the data transmission of gathering to the storage in the car machine.
In step 104, after determining to leave the target area according to the target area information, sending the acquired map data in the target area to the server.
In the step, the vehicle machine can judge whether the vehicle machine leaves the target area according to the positioning information, if the vehicle machine judges that the vehicle machine leaves the target area, the data acquisition is stopped, and the acquired map data in the target area is sent to the server, so that the server can generate or timely update the map information of the target area according to the map data.
According to the technical scheme provided by the embodiment of the disclosure, the vehicle-mounted device receives a map data acquisition task sent by the server, wherein the acquisition task comprises target area information; the vehicle machine triggers the map data acquisition task after judging that the vehicle machine enters a target area according to the target area information; the vehicle machine collects the map data in the target area according to the map data collection task; and after the target area is determined to be left according to the target area information, sending the acquired map data in the target area to the server. Through the processing, the vehicle machine can acquire map data from a target area according to a task issued by the server, start data acquisition after entering the target area, and send the acquired data to the server after leaving the target area. The collected data are sent in a centralized mode after the vehicle-mounted device leaves the target area, the vehicle-mounted device can report the collected data when the network connection state is good, and the defect that data are easy to lose due to unstable network connection when the data are sent in real time in the data collection process in the related technology is overcome.
Fig. 2 is another schematic flow chart of a data acquisition method applied to a car machine according to an exemplary embodiment of the present disclosure, and fig. 2 describes a scheme of the present disclosure in more detail with respect to fig. 1.
Referring to fig. 2, the data acquisition method includes:
in step 201, a map data collection task sent by a server is received, where the collection task includes target area information and a task time limit.
After the vehicle machine and the server establish network connection, the vehicle machine can receive a map data acquisition task sent by the server, and the acquisition task can comprise target area information and task time limit.
In step 202, it is determined whether to enter the target area according to the target area information.
After the vehicle machine receives the data acquisition task sent by the server, the data acquisition task contains target area information, and the target area information is an area of data to be acquired. The car machine can judge whether to enter a target area according to a self navigation system. If the target area is judged not to be entered, the map data acquisition task is not triggered; if it is determined that the target area is entered, the process proceeds to step 203.
In step 203, it is determined whether the task time limit has been exceeded.
In this embodiment, the map data collection task includes task time limit information, and the car machine may determine whether the current data collection task exceeds a time limit, for example: the time limit may be within a few days. If the current task exceeds the task time limit, the map data acquisition task is not triggered; if the current task does not exceed the time limit, step 204 is entered. By setting the task time limit information, the map data obtained by the server can be ensured to be more timely, and unnecessary vehicle-mounted machine resource waste is avoided.
In step 204, judging whether the local resources of the vehicle machine meet the preset task execution condition, if so, not triggering the map data acquisition task; if it is determined that the condition is satisfied, step 205 is entered.
After the server issues the collection task to the car machine, if the local resources of the car machine are already occupied by other applications, the operation of the car machine is affected if the data collection task is still triggered and executed. In the method provided by the embodiment, the judgment of the vehicle resources can be carried out before the task is triggered, and if the vehicle resources do not meet the preset conditions, the map data acquisition task cannot be triggered, so that other applications of the vehicle can be ensured not to be influenced, and the use experience of a user is prevented from being influenced.
In some implementations, the car machine resource may be a running state of car machine hardware, for example: the running status and the occupation status of a Central Processing Unit (CPU), a memory, a hard disk and/or an input/output (I/O) port. For example, a CPU threshold n may be set, before the vehicle triggers the data acquisition task, the vehicle CPU resource occupation data is continuously acquired within a period of time, an average value of the vehicle CPU resource occupation data acquired within the period of time is calculated, and if the average value exceeds the threshold n, the data acquisition task is not triggered.
In step 205, a map data collection task is triggered and executed.
In the implementation, when the local resources of the vehicle machine and the task time limit meet the preset conditions, the vehicle machine triggers and executes the map data acquisition task. The map data may be road information, traffic state information, image information of roads and surroundings, and the like in the target area. It is to be understood that the map data in the present embodiment is not limited thereto, and may be any other data that can be used in a map.
In step 206, it is determined whether to leave the target area according to the target area information.
After the vehicle machine receives the data acquisition task sent by the server, the data acquisition task contains target area information, and the target area information is an area of data to be acquired. The car machine can judge whether to leave the target area according to the navigation system of the car machine. If the target area is judged not to be left, returning to the step 205 to continue to execute the map data acquisition task; if it is determined that the target area is left, the process proceeds to step 207.
In step 207, it is determined whether a preset data transmission condition is satisfied, and if it is determined that the preset data transmission condition is not satisfied, the collected map data in the target area may be cached and temporarily not transmitted; if the predetermined data transmission condition is satisfied, the process proceeds to step 208.
In one implementation, the preset data sending condition may be a network connection state of the car machine and the server, for example: when the network connection state of the vehicle machine and the server is unstable, the collected map data can be cached locally and is not sent to the server temporarily. In this embodiment, when the network connection is unstable, the collected map data is cached locally, and reporting is performed when the preset data sending condition meets the requirement, so that the requirement on the network condition is low, and reporting of the map data collection task can be ensured when the network environment is poor.
In step 208, the collected map data in the target area is sent to a server.
In this step, after the car machine sends the collected map data to the server, the server may update the map information in the target area according to the map data. According to the scheme, the server can send map data acquisition tasks to the vehicle machines of the vehicles, the map data acquisition tasks correspond to different target areas respectively, and therefore the server can timely and effectively update map information of the target areas.
According to the technical scheme provided by the embodiment of the disclosure, before triggering the map data acquisition task, the vehicle-mounted device firstly judges whether the vehicle-mounted device enters a target area, judges whether local resources meet conditions for executing the map data acquisition task and judges whether the local resources exceed a task time limit, and when the conditions are met, the vehicle-mounted device triggers and executes the map data acquisition task. And after leaving the target area, reporting the data to the server when the preset data sending condition is met. Through the configuration, the vehicle machine resources can be prevented from being excessively occupied, and the integrity of the reported collected data is ensured when the network environment is poor.
The technical scheme that the method is applied to the vehicle machine is introduced, and correspondingly, the data acquisition method is further provided and can be applied to the server.
Fig. 3 is a schematic flow chart illustrating a data collection method applied to a server according to an exemplary embodiment of the present disclosure.
Referring to fig. 3, a data acquisition method provided by the embodiment of the present disclosure includes:
in step 301, a map data collection task is sent to the car machine, where the collection task includes target area information.
In the step, after the server and the vehicle machine establish network connection, the server sends a map data acquisition task to the vehicle machine, wherein the acquisition task comprises the position information of the target area.
It can be understood that the server may send the collection task to a plurality of car machines, and a car machine that receives the collection task may execute the collection task when the vehicle travels to the target area. The server can issue a plurality of acquisition tasks and the acquisition tasks are respectively specific to different target areas, so that the server can receive map acquisition data of different target areas, and complete map data can be obtained.
In step 302, the collected map data in the target area sent by the car machine after leaving the target area is received.
And when the vehicle runs in the target area, the vehicle machine acquires map data. After the vehicle machine leaves the target area, the map data collection is completed, the vehicle machine reports the collected map data to the server, and the server receives the data sent by the vehicle machine.
According to the technical scheme provided by the embodiment of the disclosure, a server sends a map data acquisition task to a vehicle machine, wherein the acquisition task comprises target area information, and then receives the acquired map data in the target area sent by the vehicle machine after leaving the target area. The collected data are sent in a centralized mode after the vehicle-mounted device leaves the target area, and the vehicle-mounted device can report the collected data when the network connection state is good, so that the server can receive the data completely, and the problem that the data are lost easily due to unstable network connection when the data are sent in real time in the data collection process in the related technology is solved.
Fig. 4 is another schematic flow chart of a data acquisition method applied to a server according to an exemplary embodiment of the present disclosure, and fig. 4 further describes a technical solution of the embodiment of the present disclosure compared with fig. 3.
Referring to fig. 4, a data acquisition method provided in the embodiment of the present disclosure includes:
in step 401, a target area where map data needs to be acquired is determined.
In step 402, the car machines that have passed through the target area within a specific time period are selected from the car machines to be selected.
The server stores information of a plurality of candidate car machines establishing the binding relationship, and can select the car machine capable of executing the map data acquisition task according to the requirement.
In this embodiment, after determining the target area where the map data needs to be collected, the server may select some vehicle machines from the candidate vehicle machines with the binding relationship established to issue the tasks. For example, the car machines that have passed through the target area within a certain period of time (e.g., the last month) may be selected from the candidate car machines. The vehicle in which the vehicle machine that has passed through the target area within a certain period of time is located is more likely to travel to the target area again than other vehicle machines. Therefore, the accuracy of task issuing can be improved, and unnecessary resource waste is avoided.
In step 403, for the selected car machine, it is determined whether the existing data collection task amount of each car machine is smaller than a preset value.
In this embodiment, the existing map data collection task amount of each car machine with the binding relationship established may be recorded in the server, after a car machine that has passed through the target area within a specific time period is selected from the car machines to be selected, the existing map data collection task amount of the car machine may be obtained, whether the existing map data collection task amount of the car machine is greater than or equal to a preset value is determined, if yes, the map data collection task is not sent to the car machine, and if it is determined that the existing map data collection task amount of the car machine is less than the preset value, the process proceeds to step 404.
In step 404, a map data collection task is sent to the car machine with the existing data collection task amount smaller than the preset value, and the map data collection task may include target area information.
After the server sends the map data acquisition task to the car machine with the data acquisition task amount smaller than the preset value, the car machine triggers the data acquisition task to acquire data after entering a target area. The map data may be road information, traffic state information, image information of roads and surroundings, and the like in the target area. It is to be understood that the map data in the present embodiment is not limited thereto, and may be any other data that can be used for a map.
In step 405, the acquired map data in the target area, which is sent by the car machine after leaving the target area, is received.
After the car machine receives the data acquisition task sent by the server, the car machine can judge whether to enter or leave the target area by using a self navigation system. After entering the target area, executing a map data acquisition task, after leaving the target area, intensively transmitting the acquired map data in the target area to a server, and after receiving the map data transmitted by the vehicle machine, the server generates or updates the target area part in the map by using the data.
In this embodiment, the server receives the collected map data in the target area which is reported by the vehicle machine after leaving the target area. Through the processing, the map data received by the server is the map data of the target area after the acquisition is completed, and the non-real-time data receiving mode has low requirement on the network connection between the server and the vehicle machine, and can avoid data loss caused by unstable network connection when the data is received in real time.
In addition, before the server sends the tasks to the car machines, the car machines which have passed through the target area within a specific time period are selected from the candidate car machines with the binding relationship established, and the collection tasks are issued to the car machines when the existing data collection task quantity of the selected car machines is smaller than a preset value, so that the accuracy of issuing the server tasks can be improved, and unnecessary resource waste is avoided.
The invention also provides an electronic device, and correspondingly discloses a data acquisition method applied to the car machine and a data acquisition method applied to the server.
Fig. 5 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present disclosure. The electronic device of this embodiment may be a car machine (for example, a car recorder or other intelligent terminals provided on a vehicle), or may be a map server.
Referring to fig. 5, an electronic device 500 provided by an embodiment of the present disclosure includes:
a processor 502; and a memory 501 having executable code stored thereon, which when executed by the processor 502, causes the processor 502 to perform the methods described above with respect to fig. 1-4.
The Processor 502 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 501 may include various types of storage units, such as system memory, Read Only Memory (ROM), and permanent storage. Wherein the ROM may store static data or instructions for the processor 501 or other modules of the computer. The persistent storage device may be a read-write storage device. The persistent storage may be a non-volatile storage device that does not lose stored instructions and data even after the computer is powered off. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the permanent storage may be a removable storage device (e.g., floppy disk, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as a dynamic random access memory. The system memory may store instructions and data that some or all of the processors require at runtime. Further, the memory 501 may comprise any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash, programmable read-only memory), magnetic and/or optical disks, may also be employed. In some embodiments, memory 1010 may include a removable storage device that is readable and/or writable, such as a Compact Disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, dual layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (e.g., SD card, min SD card, Micro-SD card, etc.), a magnetic floppy disc, or the like. Computer-readable storage media do not contain carrier waves or transitory electronic signals transmitted by wireless or wired means.
The memory 501 has stored thereon executable code that, when processed by the processor 502, may cause the processor 502 to perform some or all of the methods described above.
The aspects of the present disclosure have been described in detail above with reference to the accompanying drawings. In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments. Those skilled in the art should also appreciate that the acts and modules referred to in the specification are not necessarily required by the disclosure. In addition, it can be understood that steps in the method of the embodiment of the present disclosure may be sequentially adjusted, combined, and deleted according to actual needs, and modules in the device of the embodiment of the present disclosure may be combined, divided, and deleted according to actual needs.
Furthermore, the method according to the present disclosure may also be implemented as a computer program or computer program product comprising computer program code instructions for performing some or all of the steps of the above-described method of the present disclosure.
Alternatively, the present disclosure may also be embodied as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) having stored thereon executable code (or a computer program, or computer instruction code) that, when executed by a processor of an electronic device (or computing device, server, or the like), causes the processor to perform some or all of the various steps of the above-described method according to the present disclosure.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A data acquisition method is applied to a vehicle machine and is characterized by comprising the following steps:
receiving a map data acquisition task sent by a server, wherein the acquisition task comprises target area information;
triggering the map data acquisition task after judging that the target area is entered according to the target area information;
collecting map data in the target area according to the map data collection task;
and after the target area is determined to be left according to the target area information, sending the acquired map data in the target area to the server.
2. The method of claim 1, wherein triggering the map data collection task after determining entry into a target area based on the target area information comprises:
and after entering the target area is judged according to the target area information, if the local resources meet the preset task execution conditions, triggering the map data acquisition task.
3. The method of claim 1, wherein:
the map data acquisition task also comprises task time limit information;
before triggering the map data acquisition task, the method further comprises the following steps: and judging whether the task time limit is not exceeded, if so, executing the map data acquisition task.
4. The method of claim 1,
after the target area is determined to be left according to the target area information, sending the acquired map data in the target area to the server comprises the following steps:
judging whether preset data sending conditions are met or not after the target area is separated according to the target area information, and if yes, sending the collected map data in the target area to the server.
5. The method of claim 1, wherein: after the target area is judged to enter the target area according to the target area information, triggering the map data acquisition task comprises the following steps:
and judging whether the existing data acquisition task quantity of the vehicle machine is smaller than a preset value, if so, triggering the map data acquisition task after judging that the vehicle machine enters a target area according to the target area information.
6. A data acquisition method is applied to a server and is characterized by comprising the following steps:
sending a map data acquisition task to a vehicle machine, wherein the acquisition task comprises target area information;
and receiving the acquired map data in the target area sent by the vehicle machine after leaving the target area.
7. The method of claim 6, wherein sending the map data collection task to the car machine comprises:
selecting the car machines which have passed through the target area from the car machines to be selected;
and sending a map data acquisition task to the selected vehicle machine.
8. The method of claim 6, wherein sending the map data collection task to the car machine comprises:
selecting the car machines which have passed through the target area within a specific time period from the car machines to be selected;
and sending a map data acquisition task to the selected vehicle machine.
9. The method of claim 7 or 8, wherein sending the map data collection task to the selected car machine comprises:
and for each selected vehicle machine, judging whether the existing data acquisition task quantity of the vehicle machine is smaller than a preset value, and if so, sending a map data acquisition task to the vehicle machine.
10. An electronic device, comprising:
a processor; and
a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method of any one of claims 1 to 9.
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