CN112530156A - Intelligent network automobile open road system based on edge calculation and construction method - Google Patents
Intelligent network automobile open road system based on edge calculation and construction method Download PDFInfo
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Abstract
本发明公开了一种基于边缘计算的智能网联汽车开放道路系统、建设方法、计算机设备和存储介质。该基于边缘计算的智能网联汽车开放道路建设方法包括：采用车端、路侧装置、接入网络和边缘计算处理端作为开放道路的基础架构；其中，将车端和路侧装置端获取的感知信息，通过接入网络进行网络汇聚后，再发送到边缘计算处理端；通过边缘计算处理端，对感知信息进行边缘计算，得到决策信息，其中，边缘计算基于4G/5G网络实现；将决策信息，通过接入网络发送到路侧装置和车端，以使路侧装置和车端能够根据决策信息对自身表现行为进行控制。采用该基于边缘计算的智能网联汽车开放道路建设方法能够实现智能网联汽车在开放道路上的自动驾驶。
The invention discloses an open road system for intelligent networked vehicles based on edge computing, a construction method, computer equipment and a storage medium. The edge computing-based method for constructing an open road for intelligent networked vehicles includes: using a vehicle terminal, a roadside device, an access network and an edge computing processing terminal as the infrastructure of the open road; wherein, the data obtained from the vehicle terminal and the roadside device terminal are used. The perception information is aggregated through the access network, and then sent to the edge computing processing terminal; through the edge computing processing terminal, edge computing is performed on the perception information to obtain decision information, where the edge computing is implemented based on the 4G/5G network; The information is sent to the roadside device and the vehicle end through the access network, so that the roadside device and the vehicle end can control their own performance and behavior according to the decision information. Using the edge computing-based open road construction method for intelligent networked vehicles can realize automatic driving of intelligent networked vehicles on open roads.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of intelligent networking, in particular to an intelligent networking automobile open road system based on edge calculation and a construction method.
[ background of the invention ]
The intelligent internet automobile is a necessary trend of industrial revolution, is an important carrier for integrating intellectualization and internet, and is an important embodiment of national competitiveness. The intelligent networked automobile can provide a safer, more comfortable, more energy-saving and more environment-friendly transportation mode and a comprehensive transportation solution, is an important link of an urban intelligent transportation system, and is a core element for constructing a green automobile society.
However, at present, how to realize automatic driving of the intelligent internet automobile on an open road is a difficult problem, and no scientific scheme is provided for guiding the realization of automatic driving of the intelligent internet automobile on the open road.
[ summary of the invention ]
In view of this, the embodiment of the present invention provides an intelligent networked automobile open road system based on edge computing, a construction method, a computer device, and a storage medium, so as to solve the problem that no scientific scheme is currently available for guiding and implementing automatic driving of an intelligent networked automobile on an open road.
In a first aspect, an embodiment of the present invention provides an intelligent networked automobile open road construction method based on edge computing, including:
a vehicle end, a roadside device, an access network and an edge computing processing end are used as a basic framework of an open road;
the sensing information acquired by the vehicle end and the roadside device end is subjected to network convergence through the access network and then is sent to the edge computing processing end;
performing edge calculation on the perception information through the edge calculation processing terminal to obtain decision information, wherein the edge calculation is realized based on a 4G/5G network;
and sending the decision information to the road side device and the vehicle end through the access network so that the road side device and the vehicle end can control self performance behaviors according to the decision information.
In a second aspect, an embodiment of the present invention provides an intelligent networked automobile open road system based on edge computing, including:
the vehicle end is used for acquiring perception information related to the vehicle, receiving decision information related to the vehicle and controlling the vehicle end performance;
the roadside device is used for acquiring perception information related to the roadside device, receiving decision information related to the roadside device and controlling the performance of the roadside device;
the access network device is used for transmitting and storing perception information related to the vehicle, perception information related to the road side device, decision information related to the vehicle and decision information related to the road side device;
and the edge calculation processing end is used for performing edge calculation on the received perception information related to the vehicle and the perception information related to the road side device to obtain decision information related to the road side device and decision information related to the vehicle, wherein the edge calculation is realized based on a 4G/5G network.
Furthermore, the intelligent networked automobile open road system takes a perception layer, a network layer, a data layer, a platform layer and an application layer as a system architecture.
Further, the intelligent networked automobile open road system comprises: the system comprises a traffic signal control module, an automatic parking guidance module, a high-precision positioning module, a mobile edge computing platform, a five-dimensional space-time application platform and a storage module.
Further, the traffic signal control module is used for controlling traffic signals according to received decision information related to the vehicle, and the traffic signal control module takes a workstation control layer, a master control server layer, a communication control layer and an external field device layer as a framework.
Further, the automatic parking guidance module is used for guiding a vehicle to park, and includes a first level guidance unit, a second level guidance unit and a third level guidance unit, where the first level guidance unit is used for guiding a driving path of a user, the second level guidance unit is used for providing rough information of a parking available place, and the third level guidance unit is used for providing detailed information of the parking available place.
Further, the high-precision positioning module is used for positioning a vehicle and providing vehicle positioning information, the mobile edge computing platform is used for providing a mobile edge computing function, and the five-dimensional space-time application platform is used for assisting in decision making, wherein the mobile edge computing platform adopts a physical layer, a virtual layer, a service layer and an application layer as a platform architecture.
Furthermore, the storage module adopts an SAN storage architecture IP-SAN based on an IP Ethernet for realizing the connection between the storage network and the application network and providing the functions of remote data copying and data recovery.
In a third aspect, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the intelligent networked automobile open road construction method based on edge calculation when executing the computer program.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, including: and the computer program is used for realizing the steps of the intelligent networked automobile open road construction method based on the edge calculation when being executed by the processor.
In the embodiment of the invention, the vehicle end, the roadside device, the access network and the edge computing processing end are used as the infrastructure of the open road, the perception information acquired by the vehicle end and the roadside device end can be sent to the edge computing processing end through the access network in real time for processing, so that decision information conforming to the current moment is obtained and guided to be made by the vehicle end and the roadside device, and the behavior of the vehicle end and the roadside device is controlled through the access network, so that the vehicle can accurately make an accurate driving behavior according to the actual road condition, and the automatic driving of the intelligent internet automobile on the open road is realized.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
FIG. 1 is a flow chart of a method for constructing an open road of an intelligent networked automobile based on edge calculation according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an intelligent networked automobile open road system based on edge calculation according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a computer device according to an embodiment of the invention.
[ detailed description ] embodiments
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all 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 invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention 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 be understood that the term "and/or" as used herein is merely a field that describes the same of an associated object, meaning that three relationships may exist, e.g., A and/or B, may indicate: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used to describe preset ranges, etc. in embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, the first preset range may also be referred to as a second preset range, and similarly, the second preset range may also be referred to as the first preset range, without departing from the scope of the embodiments of the present invention.
The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
Fig. 1 shows a flow chart of an intelligent internet automobile open road construction method based on edge calculation in the embodiment. The intelligent networking automobile open road construction method based on the edge calculation can be applied to an intelligent networking automobile open road system. The intelligent networked automobile open road system can be particularly applied to computer equipment, wherein the computer equipment can be used for performing human-computer interaction with a user, and the computer equipment comprises but is not limited to computers, smart phones, tablets and other equipment. As shown in fig. 1, the intelligent networked automobile open road construction method based on edge calculation includes the following steps:
s10: the vehicle end, the road side device, the access network and the edge calculation processing end are used as a basic framework of the open road.
The vehicle end comprises a vehicle-mounted image acquisition device, a millimeter wave/laser radar, an ultrasonic radar, a differential positioning antenna, a 4G/5G antenna and other perception information acquisition devices, and further comprises a vehicle-mounted CPE 4G, CPE5G, a perception fusion processor and other devices for performing primary processing on images acquired by the vehicle-mounted image acquisition device.
The road side device comprises a road side image acquisition device, a traffic control signal acquisition device, a positioning reference station and other perception information acquisition devices, and further comprises a perception fusion processor and other devices for performing primary processing on images acquired by the road side image acquisition device.
The access network comprises an optical fiber, a 4G network and a 5G network. Specifically, the access network employed by the roadside device may be fiber/CV 2X; the access network adopted by the vehicle end can be a 4G network and/or a 5G network.
The Edge Computing processing end (MEC) comprises modules or platforms for industry application, vehicle management, five-dimensional space-time and high-precision positioning, and decision information such as remote driving, road stiffness planning, decision driving and the like can be obtained by adopting Mobile Edge Computing through the modules or platforms according to input perception information.
S20: the perception information acquired by the vehicle end and the roadside device end is subjected to network convergence through an access network and then is sent to the edge calculation processing end.
It can be understood that, in the construction of the open road of the intelligent networked automobile, the terminals and the devices are required to be capable of quickly responding and quickly performing operations such as data processing, so as to achieve the purpose of realizing the automatic driving of the automobile on the open road according to the running environment of the automobile in real time. In one embodiment, the vehicle collects the environmental information around the vehicle in real time while driving, and the roadside end also collects the information of the roadside of the vehicle at the same time, so as to determine the information of the current environment and driving road conditions of the vehicle. The information acquired by the vehicle end and the roadside device is called perception information, and is the basis for realizing automatic driving. In this embodiment, the sensing information obtained by the vehicle end and the roadside device end is subjected to network convergence through the access network, and then is sent to the edge calculation processing end, so as to realize rapid transmission of the sensing information. The automatic driving has a very high real-time requirement, so that the perception information acquired by the vehicle end and the roadside device end needs to be guaranteed to be subjected to network convergence in an access network, and is sent to the edge calculation processing end after the time is guaranteed to correspond, so that the accuracy and the synchronism of the perception information are guaranteed.
S30: and performing edge calculation on the perception information through an edge calculation processing end to obtain decision information, wherein the edge calculation is realized based on a 4G/5G network.
It can be understood that the edge computing processing end may specifically refer to a mobile terminal of a user, an access side of the mobile terminal is deployed with an MEC network element, mobile edge computing may be implemented by using the mobile terminal, and an edge cloud computing service with high reliability, low time delay and high bandwidth is provided for 4G/5G autonomous driving based on a 4G/5G network.
And correspondingly, the edge computing processing end can utilize the advantages of the 4G/5G network, and the dependence on the vehicle end is effectively reduced.
S40: and sending the decision information to the road side device and the vehicle end through the access network so that the road side device and the vehicle end can control the self performance behavior according to the decision information.
The expression behaviors refer to behaviors expressed by a vehicle end and a roadside device, such as driving behaviors of a vehicle and behaviors of turning on and off of a traffic signal lamp display lamp in the roadside device.
It can be understood that in the method for constructing the open road of the intelligent networked automobile, the decision information needs to be received in time, so that the expressive (driving) behaviors of the automobile and the expressive behaviors of the road side are accurately controlled quickly, and the automatic driving of the automobile is realized.
It should be noted that the intelligent networked automobile can realize automatic driving of the automobile based on the open road construction method, and can also assist driving behaviors of users through a road side device. If the user gives an instruction to park, the roadside device assists in guiding the vehicle in automatic travel, in addition to the driving behavior of the vehicle itself changing accordingly.
The embodiment of the invention provides an intelligent networking automobile open road construction method based on edge calculation, which can process the sensing information acquired in real time through the advantages (mainly 5G) of a 4G/5G network of a vehicle end, a road side device, an access network and an edge calculation processing end, generate decision information and guide the vehicle and the road side device to control the self-expression behavior in turn, thereby realizing the automatic driving effect of the intelligent networking vehicle. The intelligent networked automobile open road construction method based on the edge calculation can be used as a standard system for constructing an automatic driving road system, and automatic driving is realized in a system constructed by a vehicle end, a road side device, an access network and an edge calculation processing end.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Based on the intelligent networked automobile open road construction method based on the edge calculation provided by the embodiment, the embodiment of the invention further provides an intelligent networked automobile open road system based on the edge calculation.
Fig. 2 shows a schematic block diagram of an intelligent networked automobile open road system based on edge computing. As shown in fig. 2, the intelligent networked automobile open road system based on edge calculation includes a vehicle end, a road side device, an access network device, and an edge calculation processing end.
The vehicle end is used for acquiring perception information related to the vehicle, receiving decision information related to the vehicle and controlling the vehicle end performance.
The vehicle end comprises a vehicle-mounted image acquisition device, a millimeter wave/laser radar, an ultrasonic radar, a differential positioning antenna, a 4G/5G antenna and other perception information acquisition devices, and further comprises a vehicle-mounted CPE 4G, CPE5G, a perception fusion processor and other devices for performing primary processing on images acquired by the vehicle-mounted image acquisition device.
And the road side device is used for acquiring the perception information related to the road side device, receiving the decision information related to the road side device and controlling the performance of the road side device.
The road side device comprises a road side image acquisition device, a traffic control signal acquisition device, a positioning reference station and other perception information acquisition devices, and further comprises a perception fusion processor and other devices for performing primary processing on images acquired by the road side image acquisition device.
And the access network device is used for transmitting and storing the perception information related to the vehicle, the perception information related to the road side device, the decision information related to the vehicle and the decision information related to the road side device.
The access network comprises an optical fiber, a 4G network and a 5G network. Specifically, the access network employed by the roadside device may be fiber/CV 2X; the access network adopted by the vehicle end can be a 4G network and/or a 5G network.
And the edge calculation processing end is used for performing edge calculation on the received perception information related to the vehicle and the perception information related to the road side device to obtain decision information related to the road side device and decision information related to the vehicle, wherein the edge calculation is realized based on a 4G/5G network.
The Edge Computing processing end (MEC) comprises modules or platforms for industrial application, vehicle management, five-dimensional space-time and high-precision positioning, and can obtain decision information such as remote driving, road stiffness planning, decision driving and the like by adopting Mobile Edge Computing according to input perception information and the modules or platforms.
Furthermore, the intelligent networked automobile open road system takes a perception layer, a network layer, a data layer, a platform layer and an application layer as a system architecture.
An intelligent networked automobile open road system based on edge calculation is an intelligent networked automobile test field which is acquired from the front end, transmitted to a central storage, analyzed, applied and monitored according to five layers of application, platform, data, network and perception from top to bottom under a safe, standard and unified operation and maintenance system.
Wherein:
a sensing layer: the system comprises a video acquisition front end, a differential base station, traffic signal control, a network connection automobile, a terminal and the like, and realizes the direct acquisition of front end data.
Network layer: and uplink and downlink transmission between data and a front-end sensing layer is realized through an optical fiber link and a 4G/5G base station.
And (3) a data layer: data formed by the front-end sensing layer can be divided into valuable data such as video big data, vehicle big data, traffic big data and the like.
Platform layer: the open road test field is used for constructing platform support systems which are convenient to calculate, position with high precision, apply five-dimensional space-time and video analysis and the like.
An application layer: and finally, the top-level application of automatic driving, vehicle remote diagnosis, fleet management, traffic management, optimization and the like is realized.
In one embodiment, the sensing layer, the network layer, the data layer, the platform layer and the application layer are adopted as a system architecture, so that the unified and reasonable operation of the system can be realized, and the system can be conveniently tested, diagnosed and improved.
Further, the intelligent networking automobile open road system comprises: the system comprises a traffic signal control module, an automatic parking guidance module, a high-precision positioning module, a mobile edge computing platform, a five-dimensional space-time application platform and a storage module.
The traffic signal control module and the automatic parking guidance module belong to roadside devices, the high-precision positioning module, the mobile edge computing platform and the five-dimensional space-time application platform belong to an edge computing processing end, and the storage module is arranged in each terminal and device of the intelligent networked automobile open road system.
Furthermore, the traffic signal control module is used for controlling the traffic signals according to the received decision information related to the vehicles, and the traffic signal control module takes a workstation control layer, a master control server layer, a communication control layer and an external field device layer as a framework.
The traffic signal control module is an important basic application system in urban public security traffic guidance. Evaluation of traffic signal control is an important aspect of overall automated driving management and traffic control. Specifically, the traffic signal control module is mainly used for reasonably guiding and controlling the traffic flow on the road to alleviate or prevent traffic congestion, reduce exhaust emission and noise pollution and energy consumption, and timely provide traffic condition information for related personnel and pedestrians on the vehicle to improve traffic safety.
In one embodiment, under an intelligent networking automobile open road system, networking type intelligent traffic signal control is realized. Specifically, vehicle-mounted detection is realized through mobile edge calculation, and communication and data interaction of the Internet of vehicles and a signal system are realized, so that optimization of signal control is realized.
Further, the automatic parking guidance module is used for guiding the vehicle to park, wherein the automatic parking guidance module comprises a primary guidance unit, a secondary guidance unit and a tertiary guidance unit, the primary guidance unit is used for guiding a driving path of a user, the secondary guidance unit is used for providing rough information of a parking available place, and the tertiary guidance unit is used for providing detailed information of the parking available place.
Specifically, the first-level induction unit, the second-level induction unit and the third-level induction unit can be liquid crystal indicators on roads, and can indicate parking of a user at the liquid crystal indicators where vehicles are about to pass according to received decision information. The primary guidance unit mainly has the function of guiding a user to avoid a congested road section so as to quickly approach a parking place; the secondary guidance unit has the main functions of providing rough information of a plurality of different parking places and the remaining parking places for a user, and the user can actively change a parking route according to the rough information of the parking places and the remaining parking places and can also enable a vehicle end to identify and determine the route by himself; the three-level induction unit has the main functions of providing detailed information of parking places, including information such as charging conditions and parking ranges, so that a user can clearly know the parking conditions and can effectively guide a vehicle to quickly find a proper parking place.
Furthermore, the high-precision positioning module is used for positioning the vehicle and providing vehicle positioning information, the mobile edge computing platform is used for providing a mobile edge computing function, and the five-dimensional space-time application platform is used for assisting decision making, wherein the mobile edge computing platform adopts a physical layer, a virtual layer, a service layer and an application layer as a platform framework.
The high-precision positioning module combines the existing satellite positioning technology, carrier phase differential technology and inertia measurement technology, strives to improve the accuracy and the continuity of the positioning precision, enables the positioning precision to be increased to centimeter level, and provides accurate positioning service for automatic driving.
Specifically, the flow of implementing the high-precision positioning is as follows:
the satellite base station receives the satellite signal, compares the satellite signal with the fixed base station signal and issues a differential signal;
the satellite base station is connected with the MEC server through an Ethernet port and transmits the differential signal to the vehicle-mounted terminal through the MEC server;
the vehicle-mounted terminal processes the differential signal and the received satellite signal, outputs high-precision positioning information of 10Hz centimeter level, and sends the high-precision positioning information to a vehicle-mounted control center;
and the vehicle-mounted control center uploads the high-precision positioning information to the MEC server.
By the flow of realizing high-precision positioning, mobile edge computing is effectively utilized, edge cloud computing service with high reliability, low time delay and high bandwidth is provided based on a 4G/5G network, and high-precision positioning of vehicles is realized.
Further, the five-dimensional space-time application platform comprises a data acquisition function, a communication transmission function, a cloud computing function, a five-dimensional space-time platform management function and a five-dimensional space-time platform application function. The communication transmission function is realized through the mobile edge calculation realized by the MEC server, the perception information collected from the vehicle end is processed, the processed information is stored and then is sent to the cloud computing platform for data fusion processing, and therefore the function of decision assistance is realized through the five-dimensional space-time platform management function and the five-dimensional space-time platform application function. Specifically, the five-dimensional space-time platform management function comprises a three-dimensional map construction function, an intelligent analysis function and an intelligent management function; the application functions of the five-dimensional space-time platform comprise a positioning service function, a driving assistance function, a road planning function and an intelligent traffic function.
Furthermore, the storage module adopts an SAN storage architecture IP-SAN based on an IP Ethernet for realizing the connection between the storage network and the application network and providing the functions of remote data copying and data recovery.
The IP-SAN, namely SAN storage architecture based on IP Ethernet, further expands the SAN technology by the IP-SAN along with the development of the Ethernet technology. The iSCSI protocol is used for replacing a fiber channel protocol to transmit data and directly storing the data on an IP network, and the iSCSI protocol is used for transmitting a SCSI command packet in a TCP/IP packet, namely SCSI over TCP/IP. The IP-SAN fabric does not have to use expensive fiber optic networks, FC-HBA cards, and fibre channel storage devices, but rather IP Ethernet networks, Ethernet cards, and iSCSI storage devices. Thus, the IP-SAN storage architecture is much cheaper and easier to implement than FC-SAN.
Similar to FC-SAN, IP-SAN may also split a storage device into one or more volumes and export them to a front-end application client, which may perform new file system (formatting) operations on the exported volumes. The access mode of the client computer to the volumes is device-level Block access, the IP-SAN writes/reads the disk in parallel by dividing the data into a plurality of data blocks (blocks), and the high I/O performance and the low transmission delay of iSCSI data access are determined by the characteristics of Block-level access.
The IP-SAN inherits the advantages of opening, high performance, high reliability, easy management, strong expandability and strong adaptability of an IP network, has flexible storage mode, realizes seamless connection between the storage network and an application network, and provides excellent remote data copying and disaster tolerance characteristics.
An IP-SAN storage system is built in an intelligent networking test command center, and can be used for storing video and picture data collected by a front end, carrying out centralized backup and storage on important areas and important video images of the front end and providing remote data copying and data recovery functions.
In the embodiment of the invention, the vehicle end, the roadside device, the access network and the edge computing processing end are used as the infrastructure of the open road, the sensing information acquired by the vehicle end and the roadside device end can be sent to the edge computing processing end through the access network in real time for processing, so that decision information conforming to the current moment is obtained and guided to be made by the vehicle end and the roadside device, and the behavior of the vehicle end and the roadside device is controlled through the access network, so that the vehicle can accurately make accurate driving behaviors according to actual road conditions, and the automatic driving of the intelligent internet vehicle on the open road is realized.
The present embodiment provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method for constructing an open road of an intelligent networked automobile based on edge computing in the embodiments is implemented, and in order to avoid repetition, the details are not repeated herein. Alternatively, the computer program is executed by the processor to implement the functions of each module/unit in the intelligent internet automobile open road system based on edge calculation in the embodiment, which is not repeated herein to avoid repetition.
Fig. 3 is a schematic diagram of a computer device according to an embodiment of the present invention. As shown in fig. 3, the computer device 10 of this embodiment includes: the processor 11, the memory 12, and the computer program 13 stored in the memory 12 and capable of running on the processor 11, where the computer program 13 is executed by the processor 11 to implement the method for constructing an open road of an intelligent networked automobile based on edge computing in the embodiment, and in order to avoid repetition, details are not repeated here. Alternatively, the computer program 13 is implemented by the processor 11 to implement the functions of each model/unit in the intelligent internet automobile open road system based on edge calculation in the embodiment, which is not repeated herein for avoiding repetition.
The computer device 10 may be a desktop computer, a notebook, a palm top computer, a cloud server, or other computing devices. The computer device 10 may include, but is not limited to, a processor 11, a memory 12. Those skilled in the art will appreciate that fig. 3 is merely an example of a computer device 10 and is not intended to limit the computer device 10 and that it may include more or fewer components than shown, or some of the components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.
The Processor 11 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 device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 12 may be an internal storage unit of the computer device 10, such as a hard disk or a memory of the computer device 10. The memory 12 may also be an external storage device of the computer device 10, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc., provided on the computer device 10. Further, the memory 12 may also include both internal storage units and external storage devices of the computer device 10. The memory 12 is used for storing computer programs and other programs and data required by the computer device. The memory 12 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
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