CN116095804A - 5G intelligent router and power adjusting method thereof - Google Patents
5G intelligent router and power adjusting method thereof Download PDFInfo
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- H—ELECTRICITY
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- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/22—TPC being performed according to specific parameters taking into account previous information or commands
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention provides a 5G intelligent router and a power adjusting method thereof, comprising the following steps: acquiring routing attribute data, historical working data, terminal attribute data of a historical connection terminal and historical motion data of a 5G intelligent router; generating a historical working model according to the historical working data; obtaining a motion model of the historical connection terminal according to the historical motion data; according to the motion model, the routing attribute data and the terminal attribute data, combining the historical working model to obtain a standard working model; acquiring first attribute data and first motion data of a current connection terminal of a current access 5G intelligent router; and adjusting the power of the 5G intelligent router according to the first motion data, the routing attribute data, the first attribute data and the standard working model. By the scheme of the invention, the 5G intelligent router can intelligently and automatically perform power adjustment according to the attribute and the motion state of the connecting terminal, and the working efficiency and the network resource utilization rate of the 5G intelligent router are improved.
Description
Technical Field
The invention relates to the technical field of intelligent router control, in particular to a 5G intelligent router and a power adjusting method thereof.
Background
The router is a device for connecting each local area network and each wide area network in the Internet, is widely applied to various industries at present, and products with different grades become core nodes for realizing various backbone network internal connection, backbone network interconnection and backbone network and Internet interconnection and intercommunication services. The general router product is always in the maximum power transmitting state after being electrified, and has larger heating value and higher generated power consumption. Unless the user is powered off or the router is configured by the background, the router does not automatically reduce the transmitting power so as to achieve the purposes of reducing the power consumption and saving energy. However, in actual use, the router is in a power-on and power-on state for a long time, or is manually adjusted on a router configuration page, the adjustment mode is troublesome, or the overall transmitting power is reduced indiscriminately, and the power adjustment cannot be intelligently and automatically performed.
Disclosure of Invention
The invention provides a 5G intelligent router and a power adjusting method thereof based on the problems, and by the scheme of the invention, the 5G intelligent router can intelligently and automatically adjust the power according to the attribute and the motion state of a connecting terminal, thereby improving the working efficiency and the network resource utilization rate of the 5G intelligent router.
In view of this, an aspect of the present invention proposes a 5G intelligent router, including: the system comprises a plurality of input modules for establishing communication connection and receiving data, a control processing module connected with the input modules and used for processing the received data, a monitoring module for monitoring an internal working state, a storage module for storing the data and a plurality of output modules for establishing communication connection with other terminals; wherein,,
the control processing module is configured to:
acquiring routing attribute data and historical working data of the 5G intelligent router from the storage module;
acquiring terminal attribute data and historical motion data of a historical connection terminal connected to the 5G intelligent router;
generating a historical working model of the 5G intelligent router according to the historical working data;
obtaining a motion model of the historical connection terminal according to the historical motion data;
according to the motion model, the routing attribute data and the terminal attribute data, combining the historical working model to obtain a standard working model;
acquiring first attribute data and first motion data of a current connection terminal currently accessed to the 5G intelligent router;
And adjusting the power of the 5G intelligent router according to the first motion data, the routing attribute data, the first attribute data and the standard working model.
Optionally, in the step of acquiring terminal attribute data and historical motion data of a historical connection terminal connected to the 5G intelligent router, the control processing module is specifically configured to:
the terminal attribute data and the historical motion data of the historical connection terminal are obtained from the edge server;
the terminal attribute data comprises supported network communication protocol information, communication security level requirement information, networking time characteristic data, data transmission quantity information, data transmission speed requirement information and networking operation data;
the historical motion data includes motion video data and positioning trajectory data.
Optionally, in the step of obtaining a motion model of the historic connection terminal according to the historic motion data, the control processing module is specifically configured to:
extracting motion characteristic data of each history connection terminal according to the motion video data and the positioning track data;
And generating a single motion model library of each history connection terminal and an overall motion model of all the history connection terminals according to the motion characteristic data.
Optionally, in the step of generating a historical working model of the 5G intelligent router according to the historical working data, the control processing module is specifically configured to:
dividing the historical working data into a first historical working data part and a second historical working data part;
performing feature processing on the first historical working data, and generating N first feature data sets based on N preset different feature dimensions;
generating a first feature model by using the N first feature data sets;
performing feature processing on the second historical working data, and generating N second feature data sets based on the preset N different feature dimensions;
performing data fusion after performing standardization processing on the N second characteristic data sets to obtain third characteristic data;
processing the third characteristic data by using the first characteristic model to obtain test data based on the preset N different characteristic dimensions;
and adjusting the first characteristic model by using the test data to construct the historical working model.
Optionally, in the step of obtaining a standard working model by combining the historical working model according to the motion model, the routing attribute data and the terminal attribute data, the control processing module is specifically configured to:
combining the historical working models according to the single motion model library, the routing attribute data and the terminal attribute data to obtain a single standard working model library of each historical connection terminal;
combining the historical working models according to the overall motion model, the routing attribute data and the terminal attribute data to obtain overall standard working models of all the historical connection terminals;
and taking the single standard working model library and the whole standard working model as the standard working model.
Another aspect of the present invention provides a power adjustment method for a 5G intelligent router, including:
acquiring routing attribute data and historical working data of the 5G intelligent router;
acquiring terminal attribute data and historical motion data of a historical connection terminal connected to the 5G intelligent router;
generating a historical working model of the 5G intelligent router according to the historical working data;
Obtaining a motion model of the historical connection terminal according to the historical motion data;
according to the motion model, the routing attribute data and the terminal attribute data, combining the historical working model to obtain a standard working model;
acquiring first attribute data and first motion data of a current connection terminal currently accessed to the 5G intelligent router;
and adjusting the power of the 5G intelligent router according to the first motion data, the routing attribute data, the first attribute data and the standard working model.
Optionally, the step of acquiring terminal attribute data and historical motion data of the historical connection terminal connected to the 5G intelligent router includes:
the 5G intelligent router is connected with an edge server, and the terminal attribute data and the historical motion data of the historical connection terminal are obtained from the edge server;
the terminal attribute data comprises supported network communication protocol information, communication security level requirement information, networking time characteristic data, data transmission quantity information, data transmission speed requirement information and networking operation data;
the historical motion data includes motion video data and positioning trajectory data.
Optionally, the step of obtaining a motion model of the historical connection terminal according to the historical motion data includes:
extracting motion characteristic data of each history connection terminal according to the motion video data and the positioning track data;
and generating a single motion model library of each history connection terminal and an overall motion model of all the history connection terminals according to the motion characteristic data.
Optionally, the step of generating the historical working model of the 5G intelligent router according to the historical working data includes:
dividing the historical working data into a first historical working data part and a second historical working data part;
performing feature processing on the first historical working data, and generating N first feature data sets based on N preset different feature dimensions;
generating a first feature model by using the N first feature data sets;
performing feature processing on the second historical working data, and generating N second feature data sets based on the preset N different feature dimensions;
performing data fusion after performing standardization processing on the N second characteristic data sets to obtain third characteristic data;
Processing the third characteristic data by using the first characteristic model to obtain test data based on the preset N different characteristic dimensions;
and adjusting the first characteristic model by using the test data to construct the historical working model.
Optionally, the step of combining the historical working model according to the motion model, the routing attribute data and the terminal attribute data to obtain a standard working model includes:
combining the historical working models according to the single motion model library, the routing attribute data and the terminal attribute data to obtain a single standard working model library of each historical connection terminal;
combining the historical working models according to the overall motion model, the routing attribute data and the terminal attribute data to obtain overall standard working models of all the historical connection terminals;
and taking the single standard working model library and the whole standard working model as the standard working model.
By adopting the technical scheme of the invention, firstly, the routing attribute data and the historical working data of the 5G intelligent router are obtained, and then the terminal attribute data and the historical motion data of the historical connection terminal connected into the 5G intelligent router are obtained; generating a historical working model of the 5G intelligent router according to the historical working data; then, a motion model of the historical connection terminal is obtained according to the historical motion data; combining the historical working model according to the motion model, the routing attribute data and the terminal attribute data to obtain a standard working model; acquiring first attribute data and first motion data of a current connection terminal currently accessed to the 5G intelligent router; and finally, adjusting the power of the 5G intelligent router according to the first motion data, the routing attribute data, the first attribute data and the standard working model. By the scheme of the invention, the 5G intelligent router can intelligently and automatically perform power adjustment according to the attribute and the motion state of the connecting terminal, and the working efficiency and the network resource utilization rate of the 5G intelligent router are improved.
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FIG. 1 is a schematic block diagram of a 5G intelligent router provided by one embodiment of the present invention;
fig. 2 is a flowchart of a method for adjusting power of a 5G intelligent router according to an embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced otherwise than as described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
The terms first, second and the like in the description and in the claims of the present application and in the above-described figures, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
A 5G intelligent router and a power adjustment method thereof according to some embodiments of the present invention are described below with reference to fig. 1 to 2.
As shown in fig. 1, one embodiment of the present invention provides a 5G intelligent router, including: the system comprises a plurality of input modules for establishing communication connection and receiving data, a control processing module connected with the input modules and used for processing the received data, a monitoring module for monitoring an internal working state, a storage module for storing the data and a plurality of output modules for establishing communication connection with other terminals; wherein,,
the control processing module is configured to:
acquiring routing attribute data and historical working data of the 5G intelligent router from the storage module;
Acquiring terminal attribute data and historical motion data of a historical connection terminal connected to the 5G intelligent router;
generating a historical working model of the 5G intelligent router according to the historical working data;
obtaining a motion model of the historical connection terminal according to the historical motion data;
according to the motion model, the routing attribute data and the terminal attribute data, combining the historical working model to obtain a standard working model;
acquiring first attribute data and first motion data of a current connection terminal currently accessed to the 5G intelligent router;
and adjusting the power of the 5G intelligent router according to the first motion data, the routing attribute data, the first attribute data and the standard working model.
It may be appreciated that in the embodiment of the present invention, the 5G intelligent router may be integrated on an intelligent street lamp or an intelligent signal lamp, and the connection terminal connected to the 5G intelligent router may be an intelligent mobile terminal such as an intelligent automobile, a vehicle-mounted terminal, a mobile phone, or an intelligent watch.
The routing attribute data includes, but is not limited to, first network communication protocol information supported by the 5G intelligent router, input channel interface attribute information (such as number of interfaces, interface type, interface identification, interface power, interface rate, security level, etc.), output channel interface attribute information (such as number of interfaces, interface type, interface identification, interface power, interface rate, security level, etc.), power range, bandwidth, memory, cache, etc.
The (historical) operating data of the 5G intelligent router includes, but is not limited to, operating frequency band, operating channel and switching data, operating bandwidth and power, terminal information of the connection, actual throughput of data, etc. According to the historical working model of the 5G intelligent router, which is generated according to the historical working data of the 5G intelligent router, for example, a working model of the 5G intelligent router based on a time period, a working model based on a connection terminal type and the like is generated, wherein the working model comprises operation specifications/rules of the 5G intelligent router for communication channel establishment, data forwarding, rate adaptation, specified access rules, power adjustment, channel switching and the like when the 5G intelligent router is connected to the 5G intelligent router under different conditions (such as different times, different environmental influence factors and the like). Further, an operational state model for each channel may be generated to facilitate more refined power adjustment management for each channel.
Obtaining a motion model of the history connection terminal according to the history motion data (such as a running track/motion track data, a positioning track data, motion video data and the like of the history connection terminal); and combining the historical working model according to the motion model, the routing attribute data and the terminal attribute data to obtain a standard working model of the 5G intelligent router.
Acquiring first attribute data and first motion data of a current connection terminal currently accessed to the 5G intelligent router;
and adjusting the power of the 5G intelligent router based on the running tracks/movement tracks of all the current connecting terminals, the first attribute information and the working parameters/attributes of the 5G intelligent router according to the first movement data, the routing attribute data, the first attribute data and the standard working model.
The terminal attribute data of the history connection terminal includes, but is not limited to, network communication protocol information supported by the history connection terminal, communication security level requirement information, networking time feature data, data transmission amount information, data transmission speed requirement information, networking operation data, and the like.
The first attribute data of the current connection terminal includes, but is not limited to, network communication protocol information supported by the current connection terminal, communication security level requirement information, networking time feature data, data transmission amount information, data transmission speed requirement information, networking operation data, and the like.
The first motion data includes, but is not limited to, space-time three-dimensional trajectory data, positioning trajectory data, motion image data, and the like of the history connected terminal.
It may be understood that the motion data of the history connection terminal/the current connection terminal in the embodiment of the present invention may be obtained by a three-dimensional image capturing device that is communicatively connected to and controlled by the 5G intelligent router, or may be obtained by other manners, which is not limited by the embodiment of the present invention. Furthermore, the three-dimensional camera device can also acquire surrounding environment data to establish a real-time three-dimensional model of the surrounding environment, and then the moving data of the historical connection terminal/the current connection terminal are combined to obtain the shielded/interfered state data of the historical connection terminal/the current connection terminal in the moving process, so that the transmitting power corresponding to the 5G intelligent router can be adjusted in a more targeted manner when the historical connection terminal/the current connection terminal is shielded/interfered, and the communication quality is ensured.
In an embodiment of the present invention, the history connection terminal and the current connection terminal are intelligent automobiles, the intelligent automobiles are connected to the internet of vehicles through a 5G intelligent router, and in the driving process of the intelligent automobiles, many requirements for interaction with the internet of vehicles are generated, and the channels connected with the intelligent automobiles need to be switched according to different communication connection requirements and data transmission requirements of the intelligent automobiles (such as different networking operations on different road sections, different requirements on communication quality, power, safety and the like).
It can be understood that a third party connection terminal (such as a mobile phone, a vehicle recorder and the like) exists on the intelligent vehicle, when the third party connection terminal needs to be connected to the same 5G intelligent router, whether a target channel of the 5G intelligent router to be accessed by the third party connection terminal reaches a maximum access amount and/or whether the transmitting power meets the requirement or not is judged firstly, and if the maximum access amount and/or the transmitting power does not meet the requirement, the third party connection terminal is accessed; if the maximum access amount and/or the transmitting power are/is not met, the third party connection terminal sends the identifier of the intelligent automobile to the 5G intelligent router, the 5G intelligent router switches the channels connected to the intelligent automobile among all channels thereof for multiple times to free up the target channels for the third party connection terminal to access, for example, when the intelligent automobile is automatically connected to the 5G intelligent router, passengers on the automobile need to surf the internet by using a mobile phone, if the currently accessed 5G intelligent router is at the maximum access amount, the intelligent automobile and other terminals are tried to exchange/switch the channels according to the networking requirements (such as speed, data transmission amount, security level and the like) of each party according to the emergency degree of the internet surfing requirement of the mobile phone, and if necessary, the intelligent automobile can disconnect the connection with the 5G intelligent router to provide possibility for the exchange/switch of the channels, so as to free up channel resources for surfing the mobile phone.
By the scheme of the invention, the 5G intelligent router can intelligently and automatically perform power adjustment according to the attribute and the motion state of the connecting terminal, and the working efficiency and the network resource utilization rate of the 5G intelligent router are improved.
It should be noted that the block diagram of the 5G intelligent router shown in fig. 1 is only schematic, and the number of the illustrated modules does not limit the protection scope of the present invention.
In some possible embodiments of the present invention, in the step of obtaining terminal attribute data and historical motion data of a historical connection terminal connected to the 5G intelligent router, the control processing module is specifically configured to:
the terminal attribute data and the historical motion data of the historical connection terminal are obtained from the edge server;
the terminal attribute data comprises supported network communication protocol information, communication security level requirement information, networking time characteristic data, data transmission quantity information, data transmission speed requirement information and networking operation data;
the historical motion data includes motion video data and positioning trajectory data.
It will be appreciated that, in order to save storage space of the 5G intelligent router and reduce data processing pressure thereof, relevant data (including but not limited to terminal attribute data and historical motion data) of a (historical) connection terminal may be stored in a corresponding edge server, and in this embodiment, when relevant data is needed, the 5G intelligent router is connected with the edge server, and the terminal attribute data and the historical motion data of the historical connection terminal are obtained from the edge server.
In some possible embodiments of the present invention, in the step of obtaining the motion model of the historic connection terminal according to the historic motion data, the control processing module is specifically configured to:
extracting motion characteristic data of each history connection terminal according to the motion video data and the positioning track data;
and generating a single motion model library of each history connection terminal and an overall motion model of all the history connection terminals according to the motion characteristic data.
It can be understood that the power of the 5G intelligent router can be intelligently adjusted according to the regularity of the movement of the connection terminal, and in this embodiment, the movement characteristic data of each history connection terminal can be extracted according to the movement video data and the positioning track data; and then, generating a single motion model library of each historical connection terminal according to the motion characteristic data (so that each connection terminal can provide the most accurate power adjustment of the 5G intelligent router according to the motion characteristic of each connection terminal when repeatedly accessing the 5G intelligent router) and an overall motion model of all the historical connection terminals (so as to carry out power adjustment according to the overall motion condition of the connection terminal and the overall working state of the 5G intelligent router).
In some possible embodiments of the present invention, in the step of generating the historical working model of the 5G intelligent router according to the historical working data, the control processing module is specifically configured to:
dividing the historical working data into a first historical working data part and a second historical working data part;
performing feature processing on the first historical working data, and generating N first feature data sets based on N preset different feature dimensions;
generating a first feature model by using the N first feature data sets;
performing feature processing on the second historical working data, and generating N second feature data sets based on the preset N different feature dimensions;
performing data fusion after performing standardization processing on the N second characteristic data sets to obtain third characteristic data;
processing the third characteristic data by using the first characteristic model to obtain test data based on the preset N different characteristic dimensions;
adjusting the first characteristic model by using the test data to construct the historical working model;
wherein N is a positive integer.
It will be appreciated that in order to generate an intelligent and accurate historical working model, in this embodiment, in the step of generating the first feature model by using the N first feature data sets, training may be performed by using a neural network to generate the first feature model. The method comprises the steps of constructing a convolutional neural network comprising an input layer formed by more than N neurons, a first hidden layer formed by 24 neurons, a first activation function, a second hidden layer formed by 18 neurons, a second activation function, a third hidden layer formed by 18 neurons, a third activation function, a verification layer and an output layer also formed by 9 neurons, endowing initial values to weights connected among the neurons, dividing a first characteristic data set into training set data and test set data, inputting the training set data, starting training, testing and adjusting, and finally obtaining a first characteristic model.
In some possible embodiments of the present invention, in the step of obtaining a standard working model according to the motion model, the routing attribute data and the terminal attribute data in combination with the historical working model, the control processing module is specifically configured to:
combining the historical working models according to the single motion model library, the routing attribute data and the terminal attribute data to obtain a single standard working model library of each historical connection terminal;
combining the historical working models according to the overall motion model, the routing attribute data and the terminal attribute data to obtain overall standard working models of all the historical connection terminals;
and taking the single standard working model library and the whole standard working model as the standard working model.
It can be understood that, in order to enable the function adjustment scheme of the 5G intelligent router to simultaneously consider the individual requirements of a single connection terminal and the requirements of other connection terminals that are online at the same time, in the embodiment of the present invention, according to the single motion model library, the routing attribute data and the terminal attribute data, a single standard working model library of each historical connection terminal is obtained by combining the historical working models; combining the historical working models according to the overall motion model, the routing attribute data and the terminal attribute data to obtain overall standard working models of all the historical connection terminals; and taking the single standard working model library and the whole standard working model as the standard working model.
In some possible embodiments of the present invention, the 5G intelligent router and the connection terminal (such as the history connection terminal/the current connection terminal) are both integrated with an optical communication device, and the two may establish an optical communication connection through the optical communication device, which specifically includes the following steps:
the first optical communication device of the 5G intelligent router comprises a first processor module, a first modem module, a first power adjustment module, a first driving module, a first optical signal receiving and transmitting module and a first amplifier module;
the first processing module receives power adjustment instruction information and data to be transmitted, which are transmitted by a control processing module of the 5G intelligent router; the power adjustment instruction information is sent to the first power adjustment module to adjust the transmitting power;
then sending coded data to the first modem module according to the data to be transmitted;
the first modem module receives the encoded data and converts the encoded data into a level modulated signal;
the first driving module drives the first optical signal receiving and transmitting module to transmit an optical signal containing information under the control of the level modulation signal;
the first amplifier module amplifies an output signal of the first optical signal receiving and transmitting module according to an instruction sent by the first power adjusting module;
The second optical communication device on the connection terminal comprises a second optical signal receiving and transmitting module, a second driving module, a second amplifier module, a second modulation and demodulation module and a second processor module;
the second optical signal receiving and transmitting module receives an optical signal transmitted by the 5G intelligent router and converts the optical signal into an electric signal;
the second amplifier module amplifies the output signal of the second optical signal receiving and transmitting module;
the second modem module restores the electric signal to an original signal;
the second processor module receives the signal output by the second modem module and generates information sent to the 5G intelligent router according to the signal output by the second modem module;
the second driving module drives the second optical signal receiving and transmitting module to transmit signals containing information under the control of the level modulation signals.
By the scheme of the embodiment, the optical communication power between the 5G intelligent router and the connecting terminal can be efficiently regulated.
Referring to fig. 2, another embodiment of the present invention provides a power adjustment method for a 5G intelligent router, including:
acquiring routing attribute data and historical working data of the 5G intelligent router;
Acquiring terminal attribute data and historical motion data of a historical connection terminal connected to the 5G intelligent router;
generating a historical working model of the 5G intelligent router according to the historical working data;
obtaining a motion model of the historical connection terminal according to the historical motion data;
according to the motion model, the routing attribute data and the terminal attribute data, combining the historical working model to obtain a standard working model;
acquiring first attribute data and first motion data of a current connection terminal currently accessed to the 5G intelligent router;
and adjusting the power of the 5G intelligent router according to the first motion data, the routing attribute data, the first attribute data and the standard working model.
It may be appreciated that in the embodiment of the present invention, the 5G intelligent router may be integrated on an intelligent street lamp or an intelligent signal lamp, and the connection terminal connected to the 5G intelligent router may be an intelligent mobile terminal such as an intelligent automobile, a vehicle-mounted terminal, a mobile phone, or an intelligent watch.
The routing attribute data includes, but is not limited to, first network communication protocol information supported by the 5G intelligent router, input channel interface attribute information (such as number of interfaces, interface type, interface identification, interface power, interface rate, security level, etc.), output channel interface attribute information (such as number of interfaces, interface type, interface identification, interface power, interface rate, security level, etc.), power range, bandwidth, memory, cache, etc.
The (historical) operating data of the 5G intelligent router includes, but is not limited to, operating frequency band, operating channel and switching data, operating bandwidth and power, terminal information of the connection, actual throughput of data, etc. According to the historical working model of the 5G intelligent router, which is generated according to the historical working data of the 5G intelligent router, for example, a working model of the 5G intelligent router based on a time period, a working model based on a connection terminal type and the like is generated, wherein the working model comprises operation specifications/rules of the 5G intelligent router for communication channel establishment, data forwarding, rate adaptation, specified access rules, power adjustment, channel switching and the like when the 5G intelligent router is connected to the 5G intelligent router under different conditions (such as different times, different environmental influence factors and the like). Further, an operational state model for each channel may be generated to facilitate more refined power adjustment management for each channel.
Obtaining a motion model of the history connection terminal according to the history motion data (such as a running track/motion track data, a positioning track data, motion video data and the like of the history connection terminal); and combining the historical working model according to the motion model, the routing attribute data and the terminal attribute data to obtain a standard working model of the 5G intelligent router.
Acquiring first attribute data and first motion data of a current connection terminal currently accessed to the 5G intelligent router;
and adjusting the power of the 5G intelligent router based on the running tracks/movement tracks of all the current connecting terminals, the first attribute information and the working parameters/attributes of the 5G intelligent router according to the first movement data, the routing attribute data, the first attribute data and the standard working model.
The terminal attribute data of the history connection terminal includes, but is not limited to, network communication protocol information supported by the history connection terminal, communication security level requirement information, networking time feature data, data transmission amount information, data transmission speed requirement information, networking operation data, and the like.
The first attribute data of the current connection terminal includes, but is not limited to, network communication protocol information supported by the current connection terminal, communication security level requirement information, networking time feature data, data transmission amount information, data transmission speed requirement information, networking operation data, and the like.
The first motion data includes, but is not limited to, space-time three-dimensional trajectory data, positioning trajectory data, motion image data, and the like of the history connected terminal.
It may be understood that the motion data of the history connection terminal/the current connection terminal in the embodiment of the present invention may be obtained by a three-dimensional image capturing device that is communicatively connected to and controlled by the 5G intelligent router, or may be obtained by other manners, which is not limited by the embodiment of the present invention. Furthermore, the three-dimensional camera device can also acquire surrounding environment data to establish a real-time three-dimensional model of the surrounding environment, and then the moving data of the historical connection terminal/the current connection terminal are combined to obtain the shielded/interfered state data of the historical connection terminal/the current connection terminal in the moving process, so that the transmitting power corresponding to the 5G intelligent router can be adjusted in a more targeted manner when the historical connection terminal/the current connection terminal is shielded/interfered, and the communication quality is ensured.
In an embodiment of the present invention, the history connection terminal and the current connection terminal are intelligent automobiles, the intelligent automobiles are connected to the internet of vehicles through a 5G intelligent router, and in the driving process of the intelligent automobiles, many requirements for interaction with the internet of vehicles are generated, and the channels connected with the intelligent automobiles need to be switched according to different communication connection requirements and data transmission requirements of the intelligent automobiles (such as different networking operations on different road sections, different requirements on communication quality, power, safety and the like).
It can be understood that a third party connection terminal (such as a mobile phone, a vehicle recorder and the like) exists on the intelligent vehicle, when the third party connection terminal needs to be connected to the same 5G intelligent router, whether a target channel of the 5G intelligent router to be accessed by the third party connection terminal reaches a maximum access amount and/or whether the transmitting power meets the requirement or not is judged firstly, and if the maximum access amount and/or the transmitting power does not meet the requirement, the third party connection terminal is accessed; if the maximum access amount and/or the transmitting power are/is not met, the third party connection terminal sends the identifier of the intelligent automobile to the 5G intelligent router, the 5G intelligent router switches the channels connected to the intelligent automobile among all channels thereof for multiple times to free up the target channels for the third party connection terminal to access, for example, when the intelligent automobile is automatically connected to the 5G intelligent router, passengers on the automobile need to surf the internet by using a mobile phone, if the currently accessed 5G intelligent router is at the maximum access amount, the intelligent automobile and other terminals are tried to exchange/switch the channels according to the networking requirements (such as speed, data transmission amount, security level and the like) of each party according to the emergency degree of the internet surfing requirement of the mobile phone, and if necessary, the intelligent automobile can disconnect the connection with the 5G intelligent router to provide possibility for the exchange/switch of the channels, so as to free up channel resources for surfing the mobile phone.
By adopting the technical scheme of the embodiment, firstly, the routing attribute data and the historical working data of the 5G intelligent router are obtained, and then the terminal attribute data and the historical motion data of the historical connection terminal connected to the 5G intelligent router are obtained; generating a historical working model of the 5G intelligent router according to the historical working data; then, a motion model of the historical connection terminal is obtained according to the historical motion data; combining the historical working model according to the motion model, the routing attribute data and the terminal attribute data to obtain a standard working model; acquiring first attribute data and first motion data of a current connection terminal currently accessed to the 5G intelligent router; and finally, adjusting the power of the 5G intelligent router according to the first motion data, the routing attribute data, the first attribute data and the standard working model. By the scheme of the invention, the 5G intelligent router can intelligently and automatically perform power adjustment according to the attribute and the motion state of the connecting terminal, and the working efficiency and the network resource utilization rate of the 5G intelligent router are improved.
In some possible embodiments of the present invention, the step of obtaining terminal attribute data and historical motion data of a historical connection terminal connected to the 5G intelligent router includes:
the 5G intelligent router is connected with an edge server, and the terminal attribute data and the historical motion data of the historical connection terminal are obtained from the edge server;
the terminal attribute data comprises supported network communication protocol information, communication security level requirement information, networking time characteristic data, data transmission quantity information, data transmission speed requirement information and networking operation data;
the historical motion data includes motion video data and positioning trajectory data.
It will be appreciated that, in order to save storage space of the 5G intelligent router and reduce data processing pressure thereof, relevant data (including but not limited to terminal attribute data and historical motion data) of a (historical) connection terminal may be stored in a corresponding edge server, and in this embodiment, when relevant data is needed, the 5G intelligent router is connected with the edge server, and the terminal attribute data and the historical motion data of the historical connection terminal are obtained from the edge server.
In some possible embodiments of the present invention, the step of obtaining a motion model of the historical connection terminal according to the historical motion data includes:
extracting motion characteristic data of each history connection terminal according to the motion video data and the positioning track data;
and generating a single motion model library of each history connection terminal and an overall motion model of all the history connection terminals according to the motion characteristic data.
It can be understood that the power of the 5G intelligent router can be intelligently adjusted according to the regularity of the movement of the connection terminal, and in this embodiment, the movement characteristic data of each history connection terminal can be extracted according to the movement video data and the positioning track data; and then, generating a single motion model library of each historical connection terminal according to the motion characteristic data (so that each connection terminal can provide the most accurate power adjustment of the 5G intelligent router according to the motion characteristic of each connection terminal when repeatedly accessing the 5G intelligent router) and an overall motion model of all the historical connection terminals (so as to carry out power adjustment according to the overall motion condition of the connection terminal and the overall working state of the 5G intelligent router).
In some possible embodiments of the present invention, the step of generating a historical working model of the 5G intelligent router according to the historical working data includes:
dividing the historical working data into a first historical working data part and a second historical working data part;
performing feature processing on the first historical working data, and generating N first feature data sets based on N preset different feature dimensions;
generating a first feature model by using the N first feature data sets;
performing feature processing on the second historical working data, and generating N second feature data sets based on the preset N different feature dimensions;
performing data fusion after performing standardization processing on the N second characteristic data sets to obtain third characteristic data;
processing the third characteristic data by using the first characteristic model to obtain test data based on the preset N different characteristic dimensions;
adjusting the first characteristic model by using the test data to construct the historical working model;
wherein N is a positive integer.
It will be appreciated that in order to generate an intelligent and accurate historical working model, in this embodiment, in the step of generating the first feature model by using the N first feature data sets, training may be performed by using a neural network to generate the first feature model. The method comprises the steps of constructing a convolutional neural network comprising an input layer formed by more than N neurons, a first hidden layer formed by 24 neurons, a first activation function, a second hidden layer formed by 18 neurons, a second activation function, a third hidden layer formed by 18 neurons, a third activation function, a verification layer and an output layer also formed by 9 neurons, endowing initial values to weights connected among the neurons, dividing a first characteristic data set into training set data and test set data, inputting the training set data, starting training, testing and adjusting, and finally obtaining a first characteristic model.
In some possible embodiments of the present invention, the step of obtaining a standard working model according to the motion model, the routing attribute data and the terminal attribute data by combining the historical working model includes:
combining the historical working models according to the single motion model library, the routing attribute data and the terminal attribute data to obtain a single standard working model library of each historical connection terminal;
combining the historical working models according to the overall motion model, the routing attribute data and the terminal attribute data to obtain overall standard working models of all the historical connection terminals;
and taking the single standard working model library and the whole standard working model as the standard working model.
It can be understood that, in order to enable the function adjustment scheme of the 5G intelligent router to simultaneously consider the individual requirements of a single connection terminal and the requirements of other connection terminals that are online at the same time, in the embodiment of the present invention, according to the single motion model library, the routing attribute data and the terminal attribute data, a single standard working model library of each historical connection terminal is obtained by combining the historical working models; combining the historical working models according to the overall motion model, the routing attribute data and the terminal attribute data to obtain overall standard working models of all the historical connection terminals; and taking the single standard working model library and the whole standard working model as the standard working model.
In some possible embodiments of the present invention, the 5G intelligent router and the connection terminal (such as the history connection terminal/the current connection terminal) are both integrated with an optical communication device, and the two may establish an optical communication connection through the optical communication device, which specifically includes the following steps:
the first optical communication device of the 5G intelligent router comprises a first processor module, a first modem module, a first power adjustment module, a first driving module, a first optical signal receiving and transmitting module and a first amplifier module;
the first processing module receives power adjustment instruction information and data to be transmitted, which are transmitted by a control processing module of the 5G intelligent router; the power adjustment instruction information is sent to the first power adjustment module to adjust the transmitting power;
then sending coded data to the first modem module according to the data to be transmitted;
the first modem module receives the encoded data and converts the encoded data into a level modulated signal;
the first driving module drives the first optical signal receiving and transmitting module to transmit an optical signal containing information under the control of the level modulation signal;
the first amplifier module amplifies an output signal of the first optical signal receiving and transmitting module according to an instruction sent by the first power adjusting module;
The second optical communication device on the connection terminal comprises a second optical signal receiving and transmitting module, a second driving module, a second amplifier module, a second modulation and demodulation module and a second processor module;
the second optical signal receiving and transmitting module receives an optical signal transmitted by the 5G intelligent router and converts the optical signal into an electric signal;
the second amplifier module amplifies the output signal of the second optical signal receiving and transmitting module;
the second modem module restores the electric signal to an original signal;
the second processor module receives the signal output by the second modem module and generates information sent to the 5G intelligent router according to the signal output by the second modem module;
the second driving module drives the second optical signal receiving and transmitting module to transmit signals containing information under the control of the level modulation signals.
By the scheme of the embodiment, the optical communication power between the 5G intelligent router and the connecting terminal can be efficiently regulated.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application 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. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of embodiments of the present application, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, the above examples being provided solely to assist in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Although the present invention is disclosed above, the present invention is not limited thereto. Variations and modifications, including combinations of the different functions and implementation steps, as well as embodiments of the software and hardware, may be readily apparent to those skilled in the art without departing from the spirit and scope of the invention.
Claims (10)
1. A 5G intelligent router, comprising: the system comprises a plurality of input modules for establishing communication connection and receiving data, a control processing module connected with the input modules and used for processing the received data, a monitoring module for monitoring an internal working state, a storage module for storing the data and a plurality of output modules for establishing communication connection with other terminals; wherein,,
the control processing module is configured to:
acquiring routing attribute data and historical working data of the 5G intelligent router from the storage module;
acquiring terminal attribute data and historical motion data of a historical connection terminal connected to the 5G intelligent router;
generating a historical working model of the 5G intelligent router according to the historical working data;
obtaining a motion model of the historical connection terminal according to the historical motion data;
according to the motion model, the routing attribute data and the terminal attribute data, combining the historical working model to obtain a standard working model;
acquiring first attribute data and first motion data of a current connection terminal currently accessed to the 5G intelligent router;
and adjusting the power of the 5G intelligent router according to the first motion data, the routing attribute data, the first attribute data and the standard working model.
2. The 5G intelligent router of claim 1, wherein in the step of obtaining terminal attribute data and historical motion data of a historical connection terminal connected to the 5G intelligent router, the control processing module is specifically configured to:
the terminal attribute data and the historical motion data of the historical connection terminal are obtained from the edge server;
the terminal attribute data comprises supported network communication protocol information, communication security level requirement information, networking time characteristic data, data transmission quantity information, data transmission speed requirement information and networking operation data;
the historical motion data includes motion video data and positioning trajectory data.
3. The 5G intelligent router of claim 2, wherein in the step of obtaining a motion model of the historic connection terminal from the historic motion data, the control processing module is specifically configured to:
extracting motion characteristic data of each history connection terminal according to the motion video data and the positioning track data;
and generating a single motion model library of each history connection terminal and an overall motion model of all the history connection terminals according to the motion characteristic data.
4. A 5G intelligent router according to claim 3, wherein in the step of generating a historical working model of the 5G intelligent router from the historical working data, the control processing module is specifically configured to:
dividing the historical working data into a first historical working data part and a second historical working data part;
performing feature processing on the first historical working data, and generating N first feature data sets based on N preset different feature dimensions;
generating a first feature model by using the N first feature data sets;
performing feature processing on the second historical working data, and generating N second feature data sets based on the preset N different feature dimensions;
performing data fusion after performing standardization processing on the N second characteristic data sets to obtain third characteristic data;
processing the third characteristic data by using the first characteristic model to obtain test data based on the preset N different characteristic dimensions;
and adjusting the first characteristic model by using the test data to construct the historical working model.
5. The 5G intelligent router of claims 1-4, wherein in the step of combining the historical working model according to the motion model, the routing attribute data, and the terminal attribute data to obtain a standard working model, the control processing module is specifically configured to:
Combining the historical working models according to the single motion model library, the routing attribute data and the terminal attribute data to obtain a single standard working model library of each historical connection terminal;
combining the historical working models according to the overall motion model, the routing attribute data and the terminal attribute data to obtain overall standard working models of all the historical connection terminals;
and taking the single standard working model library and the whole standard working model as the standard working model.
6. A method for adjusting power of a 5G intelligent router, comprising:
acquiring routing attribute data and historical working data of the 5G intelligent router;
acquiring terminal attribute data and historical motion data of a historical connection terminal connected to the 5G intelligent router;
generating a historical working model of the 5G intelligent router according to the historical working data;
obtaining a motion model of the historical connection terminal according to the historical motion data;
according to the motion model, the routing attribute data and the terminal attribute data, combining the historical working model to obtain a standard working model;
Acquiring first attribute data and first motion data of a current connection terminal currently accessed to the 5G intelligent router;
and adjusting the power of the 5G intelligent router according to the first motion data, the routing attribute data, the first attribute data and the standard working model.
7. The method for power adjustment of a 5G intelligent router according to claim 6, wherein the step of acquiring terminal attribute data and historical motion data of a historical connection terminal connected to the 5G intelligent router comprises:
the 5G intelligent router is connected with an edge server, and the terminal attribute data and the historical motion data of the historical connection terminal are obtained from the edge server;
the terminal attribute data comprises supported network communication protocol information, communication security level requirement information, networking time characteristic data, data transmission quantity information, data transmission speed requirement information and networking operation data;
the historical motion data includes motion video data and positioning trajectory data.
8. The method for power adjustment of a 5G intelligent router of claim 7, wherein the step of obtaining a motion model of the historic connection terminal from the historic motion data comprises:
Extracting motion characteristic data of each history connection terminal according to the motion video data and the positioning track data;
and generating a single motion model library of each history connection terminal and an overall motion model of all the history connection terminals according to the motion characteristic data.
9. The method of 5G intelligent router power adjustment according to claim 8, wherein the step of generating a historical working model of the 5G intelligent router from the historical working data comprises:
dividing the historical working data into a first historical working data part and a second historical working data part;
performing feature processing on the first historical working data, and generating N first feature data sets based on N preset different feature dimensions;
generating a first feature model by using the N first feature data sets;
performing feature processing on the second historical working data, and generating N second feature data sets based on the preset N different feature dimensions;
performing data fusion after performing standardization processing on the N second characteristic data sets to obtain third characteristic data;
processing the third characteristic data by using the first characteristic model to obtain test data based on the preset N different characteristic dimensions;
And adjusting the first characteristic model by using the test data to construct the historical working model.
10. The method for adjusting power of a 5G intelligent router according to claims 6-9, wherein the step of obtaining a standard working model by combining the historical working model according to the motion model, the routing attribute data and the terminal attribute data comprises:
combining the historical working models according to the single motion model library, the routing attribute data and the terminal attribute data to obtain a single standard working model library of each historical connection terminal;
combining the historical working models according to the overall motion model, the routing attribute data and the terminal attribute data to obtain overall standard working models of all the historical connection terminals;
and taking the single standard working model library and the whole standard working model as the standard working model.
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