Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention aims to provide a method, a system, an intelligent terminal and a medium for scheduling resources of a converged network, which aims to solve the problems of low data processing efficiency and delay existing in the prior art.
In order to achieve the above object, a first aspect of the present invention provides a method for scheduling resources in a converged network, including:
Collecting target data in real time;
The 5G network is utilized to prioritize and sort the target data according to a preset priority evaluation strategy, and target data with marked priority is obtained;
Performing time synchronization processing on all the target data with the marked priority by using TSN equipment to obtain target data after time synchronization;
According to the priority and the current network state, carrying out dynamic resource allocation on the target data after time synchronization to obtain a resource allocation result;
and executing resource scheduling operation according to a preset resource scheduling strategy based on the resource allocation result.
In one embodiment, the acquiring the target data includes:
Acquiring data by using a visual SLAM system to obtain initial target data;
and preprocessing the initial target data by using a visual SLAM system to obtain target data.
In one embodiment, the prioritizing and sorting the target data by using the 5G network according to a preset priority evaluation policy to obtain target data with a marked priority includes:
Dividing the target data according to the region and task types by using a 5G network to obtain a plurality of region types and task types;
Obtaining a score of each region or task according to the urgency, importance and congestion potential of the task type and the region type;
and obtaining target data of the marking priority according to the scores of all the areas and the tasks.
In one embodiment, the performing time synchronization processing on all the target data with the marking priority by using the TSN device to obtain target data after time synchronization includes:
constructing a time synchronization model according to local time, clock difference and delay compensation by using TSN equipment;
And carrying out time synchronization processing on all the target data with the mark priority by using the time synchronization model to obtain target data after time synchronization.
In one embodiment, the dynamic resource allocation is performed on the target data after time synchronization according to the priority and the current network state, so as to obtain a resource allocation result, which includes:
Calculating the size and the priority of each data packet in the target data after time synchronization;
and carrying out dynamic resource allocation based on the network state and the size and the priority of each data packet to obtain a resource allocation result.
In one embodiment, the dynamic resource allocation is performed on the target data after time synchronization according to the priority and the current network state, so as to obtain a resource allocation result, which includes:
acquiring transmission data in a preset time period to obtain historical transmission data;
Dynamically adjusting the priority assessment policy and the resource scheduling policy based on the historical transmission data and the current network state;
and carrying out dynamic resource allocation on the time-synchronized target data by utilizing the adjusted priority evaluation strategy and the adjusted resource scheduling strategy to obtain a resource allocation result.
The invention provides a resource scheduling system of a converged network, which at least comprises a data acquisition module, a 5G network module, TSN equipment and a data/control center module, wherein the data acquisition module is used for acquiring target data, the 5G network module is used for prioritizing and sequencing the target data according to a preset priority evaluation strategy to obtain target data with marked priority, the TSN equipment is used for carrying out time synchronization processing and dynamic resource allocation on all the target data with marked priority to obtain a resource allocation result, and the data/control center module is used for executing resource scheduling operation according to the resource allocation result.
In one embodiment, the TSN device includes a network interface unit, a time synchronization unit, and a data scheduling processing unit, where the network interface unit is configured to receive the target data with the marked priority and transmit the target data to the time synchronization unit, the time synchronization unit is configured to perform time synchronization processing on all the received target data with the marked priority to obtain synchronized target data, and the data scheduling processing unit is configured to perform dynamic resource allocation on the target data with the time synchronized target data according to the priority and the current network state to obtain a resource allocation result.
The third aspect of the present invention provides an intelligent terminal, where the intelligent terminal includes a memory, a processor, and a converged network resource scheduler stored in the memory and capable of running on the processor, where the converged network resource scheduler implements any one of the steps of the converged network resource scheduling method when executed by the processor.
A fourth aspect of the present invention provides a computer readable storage medium, where a resource scheduler of a converged network is stored, where the resource scheduler of the converged network, when executed by a processor, implements the steps of any one of the above-mentioned resource scheduling methods of the converged network.
Compared with the prior art, the beneficial effects of this scheme are as follows:
According to the invention, a fusion network is built by fusing the 5G technology and the TSN technology, the fusion network can realize efficient data transmission and accurate time synchronization, and the flexibility and compatibility of the system can be effectively enhanced by the modularized design. The system based on the fusion network provides a resource scheduling method, combines priority scheduling and time synchronization strategies on the basis of fusion of 5G wireless communication and TSN wired communication, constructs a dynamic priority evaluation mechanism based on data content, ensures the priority processing of key data, realizes accurate time synchronization, and can effectively improve the reliability and the effectiveness of data transmission. And the network state is monitored in real time, and the bandwidth allocation is dynamically adjusted according to the data priority, so that the accuracy of scheduling the data resources and the data transmission efficiency can be effectively improved.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description 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 this specification 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 further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
The following description of the embodiments of the present invention will be made more fully hereinafter with reference to the accompanying drawings, in which embodiments of the invention are shown, it being evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
In view of the problems of low data processing efficiency and delay in the prior art, the fifth generation mobile communication (5th Generation Mobile Communication Technology,5G) technology provides an unprecedented high-speed and low-delay communication solution, which plays an important role in real-time data transmission and mass equipment connection. However, 5G technology, while capable of providing high-speed data transmission, remains a challenge for signal coverage and stability in a high electromagnetic interference nuclear power plant environment. In addition, 5G deployment is costly and full-scene deployment requires a significant amount of infrastructure support. The Time sensitive network (Time-SENSITIVE NETWORKING, TSN) technology ensures the real-Time performance and reliability of data transmission by providing deterministic network services, and is greatly suitable for application scenes with extremely high requirements on the real-Time performance. However, the deployment and integration of TSNs has focused mainly on wired networks, and the convergence with modern wireless communication technologies such as 5G has not been widely implemented, limiting its application in fully digitized nuclear power plants. The visual SLAM (Simultaneous Localization AND MAPPING) technique identifies visual features by analyzing a sequence of successive images acquired by a camera, estimates the position of the robot in combination with these data, and builds up an environment map step by step. The application of the method in the inspection robot of the nuclear power station is not only limited to position identification and environment construction, but also can continuously analyze visual data of different nuclear power facility areas to identify tiny changes in the environment, so that potential safety hazards or facility damage can be found in time, and the safe operation of the facility is ensured. In a multi-robot system, robots need to share key frames and map information to achieve mapping of a wider area and more efficient collaboration. However, the amount of data generated by the visual SLAM is huge, and it is often difficult for the conventional network system to satisfy the real-time data transmission requirement due to bandwidth limitation and network delay.
Based on the above, the embodiment of the invention provides a resource scheduling method of a converged network, which is deployed on electronic equipment such as a computer and a server, is applied to a scene of resource scheduling of a nuclear power private network built based on a 5G-TSN converged network, and aims at acquiring data related to the nuclear power private network by using a nuclear power inspection robot and optimizing the inspection condition of the nuclear power inspection robot. The architecture of the converged network system is shown in fig. 1, and mainly comprises a data acquisition module, a 5G network module, a TSN device and a data/control center module, wherein the data acquisition module is used for acquiring target data, and specifically, the embodiment uses a camera and a sensor carried by a nuclear power inspection robot to continuously acquire environmental data, and the acquired environmental data is used as initial target data. The nuclear power inspection robot is provided with a visual SLAM system, the visual SLAM system is used for processing the acquired environmental data to generate key image frames for identifying environmental characteristics, surrounding environment map information and other data serving as target data, and the target data are sent to a 5G network module through a 5G communication unit configured in the nuclear power inspection robot. And the 5G network module is used for dividing the received target data into data types (such as key frame data, map updating data and the like) and task types (such as urgency of tasks, importance of tasks and the like), prioritizing and sequencing according to the data types and the task types, obtaining target data with marked priorities, and transmitting the target data to the TSN equipment. The TSN device is used for receiving the target data of the marking priority and transmitting the target data to the time synchronization unit. And then, corresponding data are transmitted to a data/control center module according to a resource allocation result through a TSN wired network transmission mechanism, received and decoded by a data center or a control center, and the received data (such as SLAM map and key frame) are integrated into an existing monitoring system for further analysis and decision support such as path planning, safety monitoring and the like so as to ensure that the data are scheduled and transmitted in the most efficient mode. Finally, the control center sends a control instruction to the nuclear power inspection robot through the same 5G and TSN network according to the data processing and analysis results after the scheduling operation is executed, adjusts the operation or updates task parameters, or transmits the analysis result data back to the control system of the nuclear power station, and the whole data flow processing and transmission process is completed. The design not only can improve the efficiency and reliability of data transmission in the converged network system, but also can remarkably strengthen the processing capacity of the converged network system on time-sensitive data.
In a preferred embodiment, the TSN device includes a network interface unit, a data scheduling processing unit, and a time synchronization unit, where the network interface unit is configured to receive the target data with the marking priority and transmit the target data to the time synchronization unit, where the network interface unit supports multiple network interfaces, such as 5G NR (new radio) and Ethernet (Ethernet), and allows the TSN device to receive data from different network technologies, including a wireless network such as 5G and a traditional wired network, so as to enhance flexibility and compatibility of the system, implement high-speed receiving and sending of the data, and implement efficient data transmission and accurate time synchronization by fusing the 5G and the TSN technologies. The data scheduling processing unit comprises a multi-level queue management system and a scheduling algorithm executor, and is used for carrying out dynamic resource allocation on the target data after time synchronization according to the priority and the current network state to obtain a resource allocation result, and the unit is responsible for sequencing and processing according to the priority of the data to ensure that the key data can be processed preferentially. Through the high-efficiency data scheduling algorithm, the unit can optimize the data processing process, improve the response speed of the system to emergency conditions and ensure reasonable distribution of data flows in the system. Therefore, high-speed transmission and accurate time synchronization of data can be realized through TSN equipment, key data can be timely processed through a content-based dynamic priority scheduling strategy, network resource allocation can be dynamically adjusted according to the current network state and data priority, bandwidth is optimized, and data processing capacity is improved.
Further, the TSN device further includes a resource demand prediction unit, configured to dynamically adjust the priority evaluation policy and the resource scheduling policy according to the historical transmission data and the current network state, perform a dynamic resource reallocation action, and update a resource allocation result.
Further, the system architecture is modularly designed, and each functional unit of the TSN bridge switch device is modularly designed as described above, so that the expansion and maintenance of the system are facilitated. Such as replacing or upgrading the 5G communication module, the time synchronization module, etc., as needed. And in combination with Software Defined Network (SDN) technology, software control and network resource management are performed, so that the flexibility and manageability of the system are further improved.
The embodiment provides a nuclear power private network built based on a 5G-TSN fusion network, and the resource scheduling method of the fusion network mainly comprises the following steps:
and step 100, collecting target data in real time.
Specifically, environmental data is continuously collected through a camera and a sensor carried by the inspection robot of the nuclear power station, and the collected environmental data is used as initial target data. The nuclear power inspection robot is provided with a visual SLAM system, and the visual SLAM system is used for processing the acquired environmental data to generate data such as key image frames for identifying environmental characteristics and surrounding environment map information as target data. Furthermore, preprocessing operations such as data compression and formatting can be performed on the target data, so that the effectiveness of the target data is improved, and the occupation of bandwidth is reduced.
And step 200, utilizing a 5G network to prioritize and sort the target data according to a preset priority evaluation strategy, and obtaining target data with marked priority.
The method comprises the steps of dividing target data according to region types and task types by using a 5G network to obtain a plurality of region types and task types, obtaining the score of each region or task according to the urgency, importance and congestion potential of the task types and the region types, and obtaining the target data of the mark priority according to the scores of all the regions and the tasks.
In order to ensure efficient operation of the inspection robot system of the nuclear power station and to take into account the special requirements of different areas and task types, the embodiment adopts a comprehensive priority scheduling algorithm which combines the priorities of the areas and the task types to allocate the priorities of data transmission in a dynamic manner. The expression of the priority scheduling algorithm is specifically as follows:
P(d)=αW(d)+βU(d)+γI(d)+δL(d)
Wherein, P (d) represents a priority comprehensive score, W (d) represents different types of areas obtained by dividing the data packet d into specific areas according to the nuclear power plant where the nuclear power plant inspection robot is currently located, for example, a key area (such as a nuclear reactor and a control room) is scored as 100, a general area (such as an auxiliary facility) is scored as 70, a non-emergency area (such as an office area) is scored as 50, U (d) represents an emergency score of the data packet d, for example, alarm data of the robot for identifying the emergency situation of the nuclear power plant is scored as 100, I (d) represents an importance score of the data packet d, for example, a command for controlling the emergency stop of the robot is scored as 100, L (d) represents a congestion potential score of the data packet d, if the data volume is large and possibly causes network congestion to be scored as 50, alpha, beta, gamma and delta is a weight factor, and the specific value can be adjusted according to practical application requirements. Specific details of solving the priorities are shown in table 1.
And (3) setting a high priority with a score higher than 80, a medium priority with a score between 50 and 80 and a low priority with a score lower than 50 according to the priority comprehensive score P (d) solved by the priority scheduling algorithm. Generating a regional priority queue, a task emergency priority queue, a task importance priority queue and a task congestion potential priority queue according to the rule, classifying target data corresponding to each score into corresponding priority queues according to a table 1, processing the data in the queues according to the order from high priority to low priority, sending high priority data in priority, and scheduling medium and low priority data according to the need.
In order to prevent congestion in the data transmission process, the embodiment dynamically adjusts bandwidth according to the real-time network state and the data priority, and preferentially guarantees the transmission of high-priority data. Congestion prevention mechanisms may also be employed to detect network traffic trends early in the data transmission in order to control data traffic ahead of time, reducing the frequency of transmissions if necessary.
Table 1:
therefore, the embodiment adopts a dynamic priority evaluation mechanism based on the data content to ensure the priority processing of the key data, adopts a multi-level queue management strategy, processes the data according to the priority order, and optimizes the data transmission efficiency.
Further, the priority scheduling algorithm may be improved, for example, by introducing a machine learning algorithm, by learning historical data and network status, to dynamically adjust the priority evaluation and scheduling policy to further optimize system performance. Or the priority of the data packet is adaptively adjusted according to the change of the real-time task and the system load condition, so that the resource utilization efficiency and the system response speed are improved.
And step S300, performing time synchronization processing on all the target data with the mark priority by using TSN equipment to obtain the target data after time synchronization.
The method comprises the steps of constructing a time synchronization model according to local time, clock difference and delay compensation by using TSN equipment, and carrying out time synchronization processing on all target data with marked priority by using the time synchronization model to obtain target data after time synchronization.
In TSN devices, accurate time stamping is necessary to maintain consistency and accuracy of operation, so accurate data time synchronization is critical, especially in applications of nuclear power plant robot inspection. In order to ensure that data processing and decision making are performed within a unified time frame, the present embodiment adopts the IEEE 802.1AS standard protocol, realizes accurate time synchronization, and can provide sub-microsecond synchronization accuracy.
Constructing a mathematical model of synchronous time according to the local time, clock error and delay compensation, wherein the mathematical model is specifically as follows:
Tsync＝Tlocal+ΔT-D
where Tsync is the synchronization time, Tlocal is the local time, deltaT is the clock difference, and D is the delay compensation.
The time synchronization operation flow includes initialization synchronization, continuous synchronization and event-triggered synchronization, wherein the initialization synchronization refers to one full time synchronization when a device joins a network to ensure that all devices operate within the same time frame. Continuous synchronization refers to the device receiving time synchronization signals periodically during operation to calibrate the internal clock and correct any time offset. Event-triggered synchronization refers to that for a critical event, such as the reception or transmission of data, immediate time synchronization is triggered, ensuring the accuracy of the event timestamp.
It can be seen that this embodiment achieves accurate time synchronization by employing the IEEE 802.1AS standard. By initializing synchronization, continuous synchronization and event triggering synchronization, consistency and accuracy of system operation and data processing are ensured, so that timeliness and reliability of data transmission are guaranteed.
It should be stated that, in this embodiment, the IEEE 802.1AS protocol is adopted to achieve accurate time synchronization, and other time synchronization protocols, such AS a high-precision time synchronization protocol (Precision Time Protocol, PTP) or a network time protocol (Network Time Protocol, NTP), may be selected according to practical application requirements, so AS to adapt to different time synchronization requirements and precision requirements. Even in large-scale nuclear power plants, the regional time synchronization strategy can be adopted according to regional distribution, so that the efficiency and the accuracy of time synchronization are further improved.
And step 400, carrying out dynamic resource allocation on the target data after time synchronization according to the priority and the current network state to obtain a resource allocation result.
In a preferred embodiment, the size and the priority of each data packet in the target data after time synchronization are calculated, and dynamic resource allocation is performed based on the network state and the size and the priority of each data packet, so as to obtain a resource allocation result.
The dynamic resource allocation mechanism plays a vital role in the TSN bridging switching device, and aims to dynamically adjust resource allocation according to the real-time network state and the data priority, optimize bandwidth and improve data processing capacity. In particular, resource allocation principles include priority to secure high priority data, dynamic adjustment, and adaptive adjustment. The priority protection of the high priority data means that the high priority data (such as an emergency control command and key monitoring data) has the highest priority in the resource allocation, so as to ensure timely processing. Dynamic adjustment refers to dynamically adjusting resource allocation according to network load conditions and data traffic, so as to avoid resource waste and network congestion. Adaptive tuning refers to monitoring network status in real time, automatically adjusting resource allocation policies to accommodate changing network conditions and data requirements. And then carrying out dynamic resource allocation according to a resource allocation principle, wherein the main steps are that the network state is monitored in real time, and the bandwidth use condition, delay and data traffic of the current network are collected. The resource requirements of each data packet are calculated by calculating the bandwidth required by the data packet based on its size and priority. And dynamically adjusting the resource allocation, namely dynamically adjusting the bandwidth allocation of each data stream according to the calculation result and the current network state, and preferentially ensuring the high-priority data. If the allocated bandwidth is insufficient to meet the data requirements, the quality of the data transmission is reduced (e.g., key frame resolution is reduced).
Therefore, the embodiment dynamically adjusts bandwidth allocation according to the data priority by monitoring the network state in real time, and optimizes the resource use. Furthermore, network congestion can be prevented and system stability can be improved by detecting network flow trend and controlling data flow in advance.
Furthermore, on the basis of the dynamic resource allocation mechanism of the embodiment, dynamic allocation of computing resources and storage resources can be further increased, so that more comprehensive resource optimization is realized.
In another preferred embodiment, the resource demand prediction unit acquires transmission data in a preset time period to obtain historical transmission data, dynamically adjusts the priority evaluation strategy and the resource scheduling strategy based on the historical transmission data and the current network state, and dynamically allocates the resources of the target data after time synchronization by using the adjusted priority evaluation strategy and the adjusted resource scheduling strategy to obtain a resource allocation result. The resource demand prediction model is established based on historical data and real-time monitoring, so that the resource allocation strategy is adjusted in advance, and congestion and insufficient resources are avoided.
And S500, executing resource scheduling operation according to a preset resource scheduling strategy based on the resource allocation result.
Specifically, the TSN device comprises a data scheduling processing unit which comprises a multi-stage queue management system and a scheduling algorithm executor, wherein the multi-stage queue management system is used for sequencing and processing according to the priority of data, so that the key data can be processed preferentially. Through the high-efficiency data scheduling algorithm, the unit can optimize the data processing process, improve the response speed of the system to emergency conditions and ensure reasonable distribution of data flows in the system.
It is worth stating that, the embodiment is a resource scheduling method of a fusion network designed based on a nuclear power private network established by a 5G-TSN fusion network, and Wi-Fi 6 or Wi-Fi 6E can be used as an alternative communication technology under the condition that the 5G network is unavailable or the deployment cost is high, so as to improve the flexibility and adaptability of the system. Or in the nuclear power station area with remote geographic position or unstable 5G signal coverage, satellite communication technology can be integrated, and the reliability of data transmission is ensured.
Further, in order to improve the security of data transmission, encryption and authentication technology is integrated in the data transmission process, so that confidentiality and integrity of data are ensured. And/or an intrusion detection and protection mechanism is added into the system to discover and prevent potential network attacks in time, so that the system safety is ensured.
As shown in fig. 4, the embodiment of the present invention further provides a resource scheduling system of a converged network, corresponding to the resource scheduling method of a converged network, where the resource scheduling system of a converged network at least includes a data acquisition module 410, a 5G network module 420, a TSN device 430, and a data/control center module 440, where,
The data acquisition module 410 is configured to acquire target data;
the 5G network module 420 is configured to prioritize and sort the target data according to a preset priority evaluation policy, so as to obtain target data with a marked priority;
The TSN device 430 is configured to perform time synchronization processing and dynamic resource allocation on all the target data with the marked priority, so as to obtain a resource allocation result;
The data/control center module 440 is configured to perform a resource scheduling operation according to the resource allocation result.
Further, the TSN device 430 includes a network interface unit, a data scheduling processing unit, and a time synchronization unit, wherein,
The network interface unit is used for receiving the target data of the marking priority and transmitting the target data to the time synchronization unit;
The time synchronization unit is used for performing time synchronization processing on all received target data with the marking priority to obtain synchronized target data;
And the data scheduling processing unit is used for carrying out dynamic resource allocation on the target data after time synchronization according to the priority and the current network state to obtain a resource allocation result.
Further, the TSN device 430 further includes a resource demand prediction unit, which is configured to dynamically adjust the priority evaluation policy and the resource scheduling policy according to the historical transmission data and the current network state, perform a dynamic resource reallocation action, and update a resource allocation result.
Specifically, in this embodiment, the specific function of the resource scheduling system of the converged network may refer to the corresponding description in the resource scheduling method of the converged network, which is not described herein again.
Based on the above embodiment, the present invention further provides an intelligent terminal, and a functional block diagram thereof may be shown in fig. 5. The intelligent terminal comprises a processor, a memory, a network interface and a display screen which are connected through a system bus. The processor of the intelligent terminal is used for providing computing and control capabilities. The memory of the intelligent terminal comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a resource scheduler that fuses networks. The internal memory provides an environment for the operating system in the non-volatile storage medium and the running of the resource scheduler of the converged network. The network interface of the intelligent terminal is used for communicating with an external terminal through network connection. And the step of implementing any one of the above-mentioned resource scheduling methods of the converged network when the resource scheduling program of the converged network is executed by the processor. The display screen of the intelligent terminal can be a liquid crystal display screen or an electronic ink display screen.
It will be appreciated by those skilled in the art that the schematic block diagram shown in fig. 5 is merely a block diagram of a portion of the structure associated with the present inventive arrangements and is not limiting of the smart terminal to which the present inventive arrangements are applied, and that a particular smart terminal may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, an intelligent terminal is provided, where the intelligent terminal includes a memory, a processor, and a converged network resource scheduler stored in the memory and capable of running on the processor, where the converged network resource scheduler implements the steps of any one of the converged network resource scheduling methods provided in the embodiments of the present invention when the converged network resource scheduler is executed by the processor.
The embodiment of the invention also provides a computer readable storage medium, and the computer readable storage medium stores a resource scheduling program of the converged network, and when the resource scheduling program of the converged network is executed by a processor, the steps of any one of the resource scheduling methods of the converged network provided by the embodiment of the invention are realized.
It should be understood that the sequence number of each step in the above embodiment does not mean the sequence of execution, and the execution sequence of each process should be determined by its function and internal logic, and should not be construed as limiting the implementation process of the embodiment of the present invention.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present invention. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples 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 solution. 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 invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units described above is merely a logical function division, and may be implemented in other manners, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed.
The embodiments described above are only for illustrating the technical solution of the present invention, but not for limiting the same, and although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that the technical solution described in the foregoing embodiments may be modified or some of the technical features may be replaced equally, and that the modifications or replacements are not essential to the corresponding technical solution but are included in the scope of protection of the present invention.