CN115102604A - Communication network building method, device, equipment and readable storage medium - Google Patents

Communication network building method, device, equipment and readable storage medium Download PDF

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CN115102604A
CN115102604A CN202210637230.3A CN202210637230A CN115102604A CN 115102604 A CN115102604 A CN 115102604A CN 202210637230 A CN202210637230 A CN 202210637230A CN 115102604 A CN115102604 A CN 115102604A
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information
image
pyramid
layer
communication network
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CN115102604B (en
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张奇飞
葛岩峰
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Zhongke Tesi Information Technology Beijing Co ltd
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Zhongketsi Information Technology Shenzhen Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/14Relay systems
    • H04B7/15Active relay systems
    • H04B7/185Space-based or airborne stations; Stations for satellite systems
    • H04B7/18502Airborne stations
    • H04B7/18504Aircraft used as relay or high altitude atmospheric platform
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/73Deblurring; Sharpening
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • G06V20/17Terrestrial scenes taken from planes or by drones
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01QANTENNAS, i.e. RADIO AERIALS
    • H01Q1/00Details of, or arrangements associated with, antennas
    • H01Q1/08Means for collapsing antennas or parts thereof
    • H01Q1/10Telescopic elements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20016Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform

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Abstract

The invention provides a method, a device, equipment and a readable storage medium for constructing a communication network, wherein the method comprises the following steps: acquiring first information, wherein the first information comprises geographic information, personnel information, building information and weather information of a target area; determining the position information of the relay supplementing point according to the first information; sending a first control command according to the position information of the relay supplementing point, wherein the first control command comprises a command for controlling an unmanned aerial vehicle to stop at the relay supplementing point, and the unmanned aerial vehicle is loaded with a radio station; and acquiring second information, wherein the second information comprises confirmation information that the unmanned aerial vehicle is parked at the relay position supplementing point, and after the second information is acquired, the method for establishing the communication network is completed. The invention takes the handheld radio station node as the backbone node and the unmanned aerial vehicle as the relay node, constructs a mobile backbone network based on Ip, and each user node is accessed through the backbone node, thereby realizing the interaction between the information and the voice of the users among different groups.

Description

Communication network building method, device, equipment and readable storage medium
Technical Field
The invention relates to the technical field of communication networks, in particular to a method, a device and equipment for building a communication network and a readable storage medium.
Background
A group communication network constructed on the basis of a handheld ad hoc network radio station influences the transmission bandwidth and efficiency of radio waves due to a communication barrier, when obstacles such as trees, buildings and the like are encountered in a propagation path, the communication distance is influenced, and the quality of signals received by a receiving end is also influenced; however, the method adopted at present is to temporarily install the relay equipment at a high place, but the method has some disadvantages, for example, the flexibility is poor, when a target point is newly added, a specially-assigned person needs to recover the existing relay equipment and go to the target point for relocation; meanwhile, the safety is poor, the automobile is easy to destroy, and the danger can not be sensed in real time to warn or destroy the automobile.
Disclosure of Invention
The invention aims to provide a communication network building method, a communication network building device, communication network equipment and a readable storage medium, so as to solve the problems.
In order to achieve the above object, the embodiments of the present application provide the following technical solutions:
in one aspect, an embodiment of the present application provides a method for building a communication network, where the method includes:
acquiring first information, wherein the first information comprises geographic information, personnel information, building information and weather information of a target area, the target area is an area for building a communication network, the communication network comprises a starting point, a relay supplementing point and an end point, and handheld ad hoc network radio stations are arranged at the positions of the starting point and the end point;
determining the position information of the relay position supplementing point according to the first information;
sending a first control command according to the position information of the relay supplementing point, wherein the first control command comprises a command for controlling an unmanned aerial vehicle to stop at the relay supplementing point, and the unmanned aerial vehicle is loaded with a radio station;
and acquiring second information, wherein the second information comprises confirmation information that the unmanned aerial vehicle is parked at the relay position supplementing point, and after the second information is acquired, the method for establishing the communication network is completed.
In a second aspect, an embodiment of the present application provides a device for building a communication network, where the device includes a first obtaining module, a determining module, a control module, and a second obtaining module.
The system comprises a first acquisition module, a second acquisition module and a communication module, wherein the first acquisition module is used for acquiring first information, and the first information comprises geographic information, personnel information, building information and weather information of a target area, the target area is an area for constructing a communication network, the communication network comprises a starting point, a relay supplementing point and an end point, and handheld ad hoc network radio stations are arranged at the positions of the starting point and the end point;
the determining module is used for determining the position information of the relay supplementing point according to the first information;
the control module is used for sending a first control command according to the position information of the relay supplementing point, the first control command comprises a command for controlling an unmanned aerial vehicle to stop at the relay supplementing point, and the unmanned aerial vehicle is provided with a radio station;
and the second acquisition module is used for acquiring second information, the second information comprises confirmation information that the unmanned aerial vehicle is parked at the relay complementary location point, and the establishment method of the communication network is completed after the second information is acquired.
In a third aspect, an embodiment of the present application provides a building device for a communication network, where the device includes a memory and a processor. The memory is used for storing a computer program; the processor is used for realizing the steps of the building method of the communication network when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a readable storage medium, where a computer program is stored on the readable storage medium, and the computer program, when executed by a processor, implements the steps of the method for building a communication network.
The invention has the beneficial effects that:
1. the invention takes the handheld radio station node as the backbone node and the unmanned aerial vehicle as the relay node, constructs a mobile backbone network based on Ip, and each user node is accessed through the backbone node, thereby realizing the interaction between the information and the voice of the users among different groups. Meanwhile, the handheld station is used as a ground backbone node, the unmanned aerial vehicle is used as a relay in a shielded place, and compared with a group communication network constructed on the basis of a handheld ad hoc network radio station, the invention can improve the communication distance between backbone nodes by using the unmanned aerial vehicle as the relay, and has the advantage of strong flexibility.
2. According to the invention, by arranging the relay position-complementing node, the communication distance can be increased in the area range with poor communication conditions such as cities or undulating terrain, and the transmission bandwidth and efficiency are improved; after the unmanned aerial vehicle is controlled to park in the relay position supplementing point, the radio station antenna can be switched according to the relation between the parking position and other communication nodes and the communication effect, and the length of the radio station antenna can be adjusted according to the gain condition of the relay signal of the radio station, so that the communication effect can be improved.
3. The unmanned aerial vehicle can transmit signals after being parked at the relay repair site, whether the unmanned aerial vehicle needs to escape or explode automatically is analyzed through the image acquired by the unmanned aerial vehicle, surrounding dangers can be sensed in real time through the method, and the safety of the whole communication work is improved.
4. According to the invention, the images acquired by the unmanned aerial vehicle are classified and enhanced, the quality of the images can be improved in an enhancement processing mode, and the accuracy of comparison with the images in the image library can be improved, so that the safety of the whole communication work is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and it is obvious for those skilled in the art that other related drawings can be obtained from the drawings without inventive efforts.
Fig. 1 is a schematic flow chart of a method for building a communication network according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a building device of a communication network according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a building device of a communication network according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers or letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1
As shown in fig. 1, the present embodiment provides a method for building a communication network, which includes step S1, step S2, step S3, and step S4.
Step S1, acquiring first information, wherein the first information comprises geographic information, personnel information, building information and weather information of a target area, the target area is an area for building a communication network, the communication network comprises a starting point, a relay supplementing point and an end point, and handheld ad hoc network radio stations are arranged at the positions of the starting point and the end point;
in this step, the first information may include, in addition to the aforementioned geographic information, personnel information, building information, and weather information, hydrological information, traffic information, and the like of the target area, and the included information may be increased or decreased according to the needs of the user, where the included information is more and the position of the selected relay repair site is more accurate;
step S2, determining the position information of the relay repairing point according to the first information;
in this step, determining the position information of the relay repair point can be implemented by the following steps: sending a first control command, wherein the first control command comprises a command for artificially analyzing the first information and artificially determining the position information of the relay repair point;
in the step, by setting the relay position-complementing node, the communication distance can be increased and the transmission bandwidth and efficiency can be improved in the area range with poor communication conditions such as cities or undulating terrain;
step S3, sending a first control command according to the position information of the relay supplementing point, wherein the first control command comprises a command for controlling an unmanned aerial vehicle to stop at the relay supplementing point, and the unmanned aerial vehicle is provided with a radio station;
in this step, the positions of the relay repair points may be a roof, a wall, a treetop, a wire pole top and the like; when the unmanned aerial vehicle is controlled to park at the relay supplementing point, various parking modes can be adopted, such as landing parking, suspension parking and the like; in addition, in order to further improve the signal transmission, the radio station carried on the unmanned aerial vehicle can also be provided with a plurality of antennas, after the unmanned aerial vehicle is controlled to park to the relay supplement point, the radio station antennas can be switched according to the relation between the parking position and other communication nodes and the communication effect, and the length of the radio station antennas can also be adjusted according to the gain condition of the radio station relay signals.
And step S4, second information is obtained, the second information comprises confirmation information that the unmanned aerial vehicle is parked at the relay position supplementing point, and after the second information is obtained, the method for building the communication network is completed.
In the step, a heterogeneous multi-transmission means is used for constructing a mobile backbone network based on Ip by taking the handheld radio station node as a backbone node and the unmanned aerial vehicle as a relay node, and each user node is accessed through the backbone node, so that the information and voice interaction of users among different groups can be realized. Meanwhile, the handheld station is used as a ground backbone node, the unmanned aerial vehicle is used as a relay in a shielded place, and compared with a group communication network constructed on the basis of a handheld ad hoc network radio station, the communication distance between backbone nodes can be increased by using the unmanned aerial vehicle as the relay in the embodiment. Meanwhile, the method has the advantage of strong flexibility, and when a target point is newly added, a specially-assigned person is not required to recover and install the target point, and the target point can be automatically moved to and relocated.
By the same method, if a movable and three-dimensional communication backbone network with larger space needs to be constructed, communication vehicles can be used as ground backbone nodes.
In this step, the unmanned aerial vehicle may transmit signals after staying at the relay repair site, and in the working process, an early warning needs to be performed on the surrounding environment to ensure the safety of the whole communication work, and in this embodiment, the early warning is performed through the schemes in step S5, step S6, and step S7;
step S5, third information and fourth information are obtained, wherein the third information is a real-time image acquired by the unmanned aerial vehicle, and the real-time image is acquired by an image acquisition device installed on the unmanned aerial vehicle; the fourth information is an image library, the image library comprises at least one target object image, and the target object is an object to be avoided by the unmanned aerial vehicle;
in this step, the image library is a pre-constructed image library;
step S6, analyzing the real-time image, analyzing the category of the real-time image to obtain a classification result, and selecting a corresponding image processing method according to the classification result to process the image to obtain a processed image;
in this step, the quality of the acquired images varies according to different weather conditions, for example, when fog weather occurs, the quality of the acquired images may be affected, and further the final early warning processing is affected; therefore, in this step, the collected images are classified correspondingly, and the specific steps include step S61, in step S61, different image processing techniques are correspondingly adopted for the images under different weather conditions, so that each image can be processed in a targeted manner, and the processing efficiency and quality are improved;
step S61, analyzing the real-time image, and analyzing whether the real-time image is a first image, where the first image is a foggy image, if so, performing enhancement processing on the real-time image by using a first processing method to obtain a first processed image, and if not, performing enhancement processing on the real-time image by using a second processing method to obtain a second processed image.
In this step, the first image may include, in addition to the foggy image, an image acquired under other severe weather conditions, for example, an image acquired under weather such as haze weather and thunderstorm weather; in this embodiment, when analyzing the real-time image, whether the real-time image is a foggy image may be determined manually, or whether the real-time image is a foggy image may be analyzed by using other conventional analysis techniques;
in step S61, if the image is a foggy image, the image may be processed by an image enhancement technique to improve the quality of the image, and the specific implementation steps may be step S611, step S612, step S613, and step S614, where in steps S611 to step S614, a neighborhood standard deviation is first calculated for each layer of the gaussian pyramid, then a pyramid with multiple layers of standard deviations is obtained, and then noise reduction processing is performed on each layer of the laplacian pyramid on the basis of the standard pyramid; therefore, in the step, the image details are enhanced by using the Gauss-Laplacian pyramid decomposition method, and the noise is also inhibited, so that the quality of the image can be improved through the step, and the accuracy of early warning is improved.
Step S611, decomposing the real-time image by using a gaussian-laplacian pyramid decomposition method to obtain a first pyramid and a second pyramid, where the first pyramid includes a gaussian pyramid with multiple layers of gaussian sub-images, and the second pyramid includes a laplacian pyramid with multiple layers of laplacian sub-images;
in the step, the number of layers of the Gaussian pyramid and the Laplacian pyramid can be set in a user-defined mode according to the requirements of a user; for example, 3 layers, 4 layers, 5 layers, etc.;
step S612, calculating neighborhood standard deviations corresponding to each layer of the first pyramid, combining the neighborhood standard deviations corresponding to each layer to obtain a third pyramid, and performing normalization processing on the third pyramid to obtain a fourth pyramid;
step S613, processing each layer of the fourth pyramid to obtain a fifth pyramid, wherein when any layer of the fourth pyramid is processed, any layer of the fourth pyramid is marked as a first layer, a layer corresponding to the first layer in the second pyramid is marked as a second layer, and the first layer and the second layer are multiplied to obtain a third layer;
by the method in this step, it can be understood that the first layer and the second layer are multiplied to be a denoising processing method, and in this way, the laplacian pyramid after denoising can be obtained for each layer;
and S614, reconstructing the fifth pyramid by adopting an image reconstruction technology to obtain the first processed image.
In this step, a conventional reconstruction technique, such as a pyramid reconstruction technique, may be used for reconstruction; other conventional image processing techniques can be adopted besides the methods in step S611, step S612, step S613 and step S614, and this embodiment is not described again;
if the image is not a fog image in step S61, the image may be processed in step S615, step S616, step S617, and step S618;
step S615, decomposing the real-time image by using a wavelet decomposition method to obtain at least one low-frequency component and at least one high-frequency component, wherein a wavelet function adopted by the wavelet decomposition method is a Haar wavelet function, and integrating the low-frequency component and the high-frequency component to form a first set;
in this step, besides the Haar wavelet function, the wavelet function adopted by the wavelet decomposition method may also adopt a mexican hat function, a Moret wavelet function, a sym6 wavelet function, etc.;
meanwhile, besides the wavelet decomposition method, a contourlet transformation method may be adopted, and when reconstructing in step S618, a non-sampling contourlet reconstruction method may be adopted;
step S616, respectively processing each low-frequency component by utilizing top-cap transformation and bottom-cap transformation to respectively obtain a first result and a second result, adding the low-frequency components and the first result, and then subtracting the second result to obtain enhanced low-frequency components, and performing enhancement processing on each high-frequency component by adopting a dual-threshold function to obtain enhanced high-frequency components;
step S617, aggregating the enhanced low frequency component and the enhanced high frequency component to form a second set;
step S618, replacing a corresponding number of elements in the first set with at least one element in the second set to obtain a third set, and performing reconstruction processing on all elements in the third set to obtain the second processed image.
In this step, one enhanced high-frequency or low-frequency component in the second set may be used to replace the high-frequency or low-frequency component corresponding to the enhanced high-frequency or low-frequency component in the first set, or a plurality of enhanced high-frequency or low-frequency components may be used, and a reconstruction technique of wavelet inverse variation may be used to reconstruct after the replacement;
step S7, analyzing the processed image according to the image library, analyzing whether the processed image contains the target object image, and if so, sending a second control command, wherein the second control command comprises a command for the unmanned aerial vehicle to escape or explode spontaneously.
In this step, the processed image and the image in the image library are analyzed, so that the accuracy of analysis can be improved.
Example 2
As shown in fig. 2, the present embodiment provides a device for building a communication network, where the device includes a first obtaining module 701, a determining module 702, a control module 703, and a second obtaining module 704.
The first acquisition module 701 is used for acquiring first information, wherein the first information comprises geographic information, personnel information, building information and weather information of a target area, the target area is an area for building a communication network, the communication network comprises a starting point, a relay supplementing point and an end point, and handheld ad hoc network radio stations are arranged at the positions of the starting point and the end point;
a determining module 702, configured to determine location information of a relay repair point according to the first information;
the control module 703 is configured to send a first control command according to the position information of the relay location point, where the first control command includes a command for controlling an unmanned aerial vehicle to park in the relay location point, and the unmanned aerial vehicle is loaded with a radio station;
a second obtaining module 704, configured to obtain second information, where the second information includes confirmation information that the unmanned aerial vehicle has been parked at the relay complementary location, and after the second information is obtained, the method for establishing the communication network is completed.
In a specific embodiment of the present disclosure, the apparatus further includes a third obtaining module 705, a first analyzing module 706, and a second analyzing module 707;
a third obtaining module 705, configured to obtain third information and fourth information, where the third information is a real-time image acquired by the unmanned aerial vehicle, and the real-time image is acquired by an image acquisition device installed on the unmanned aerial vehicle; the fourth information is an image library, the image library comprises at least one target object image, and the target object is an object to be avoided by the unmanned aerial vehicle;
the first analysis module 706 is configured to analyze the real-time image, analyze the category to which the real-time image belongs to obtain a classification result, and select a corresponding image processing method according to the classification result to process the image to obtain a processed image;
a second analysis module 707, configured to analyze the processed image according to the image library, analyze whether the processed image includes the target image, and if so, send a second control command, where the second control command includes a command for the unmanned aerial vehicle to escape or explode.
In a specific embodiment of the present disclosure, the first analyzing module 706 further includes an analyzing unit 7061;
an analyzing unit 7061, configured to analyze the real-time image, and analyze whether the real-time image is a first image, where the first image is a foggy image, if the first image is a foggy image, the first processing method is used to perform enhancement processing on the first image to obtain a first processed image, and if the first image is not a foggy image, the second processing method is used to perform enhancement processing on the first processed image to obtain a second processed image.
In one embodiment of the present disclosure, the analyzing unit 7061 further includes a first decomposition subunit 70611, a first calculating subunit 70612, a second calculating subunit 70613, and a first reconstructing subunit 70614;
a first decomposition subunit 70611, configured to decompose the real-time image by using a gaussian-laplacian pyramid decomposition method to obtain a first pyramid and a second pyramid, where the first pyramid includes a gaussian pyramid with multiple layers of laplacian sub-images, and the second pyramid includes a laplacian pyramid with multiple layers of laplacian sub-images;
a first calculating subunit 70612, configured to calculate a neighborhood standard deviation corresponding to each layer of the first pyramid, combine the neighborhood standard deviations corresponding to each layer to obtain a third pyramid, and perform normalization processing on the third pyramid to obtain a fourth pyramid;
a second calculating subunit 70613, configured to process each layer of the fourth pyramid to obtain a fifth pyramid, where when any layer of the fourth pyramid is processed, any layer of the fourth pyramid is marked as a first layer, a layer corresponding to the first layer in the second pyramid is marked as a second layer, and the first layer and the second layer are multiplied to obtain a third layer;
a first reconstructing subunit 70614, configured to reconstruct the fifth pyramid by using an image reconstruction technique, to obtain the first processed image.
In a specific embodiment of the present disclosure, the analysis unit 7061 further includes a second decomposition subunit 70615, a third calculation subunit 70616, a set subunit 70617, and a second reconstruction subunit 70618;
a second decomposition subunit 70615, configured to decompose the real-time image by using a wavelet decomposition method to obtain at least one low-frequency component and at least one high-frequency component, where a wavelet function adopted by the wavelet decomposition method is a Haar wavelet function, and the low-frequency component and the high-frequency component are aggregated to form a first set;
a third computing subunit 70616, configured to separately process each low-frequency component by using top-hat transformation and bottom-hat transformation, respectively, to obtain a first result and a second result, add the low-frequency component to the first result, and subtract the second result, to obtain an enhanced low-frequency component, and perform enhancement processing on each high-frequency component by using a dual-threshold function, so as to obtain an enhanced high-frequency component;
a set subunit 70617, configured to set the enhanced low frequency component and the enhanced high frequency component into a second set;
a second reconstructing subunit 70618, configured to replace a corresponding number of elements in the first set with at least one element in the second set to obtain a third set, and perform reconstruction processing on all elements in the third set to obtain the second processed image.
It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be described in detail here.
Example 3
Corresponding to the above method embodiment, the embodiment of the present disclosure further provides a device for building a communication network, and the device for building a communication network described below and the device for building a communication network described above may be referred to in correspondence with each other.
Fig. 3 is a block diagram of a construction apparatus 800 of a communication network shown according to an exemplary embodiment. As shown in fig. 3, the construction apparatus 800 of the communication network may include: a processor 801, a memory 802. The construction apparatus 800 of the communication network may further comprise one or more of a multimedia component 803, an I/O interface 804, and a communication component 805.
The processor 801 is configured to control the overall operation of the building apparatus 800 of the communication network, so as to complete all or part of the steps in the building of the communication network. The memory 802 is used to store various types of data to support the operation of the construction device 800 of the communication network, which data may include, for example, instructions for any application or method operating on the construction device 800 of the communication network, as well as application-related data, such as contact data, transceived messages, pictures, audio, video, and so forth. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication module 805 is used for wired or wireless communication between the building equipment 800 of the communication network and other equipment. Wireless communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding communication component 805 may include: Wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the building Device 800 of the communication network may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic elements, and is used to build the communication network.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the building of a communication network as described above is also provided. For example, the computer readable storage medium may be the above-mentioned memory 802 comprising program instructions which are executable by the processor 801 of the construction apparatus 800 of the communication network to accomplish the above-mentioned construction of the communication network.
Example 4
Corresponding to the above method embodiment, the embodiment of the present disclosure further provides a readable storage medium, and the following description of the readable storage medium and the above-described building of the communication network may be referred to in correspondence with each other.
A readable storage medium, on which a computer program is stored, which, when executed by a processor, carries out the steps of the set-up of the communication network of the above-mentioned method embodiment.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various readable storage media capable of storing program codes.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for setting up a communication network, comprising:
acquiring first information, wherein the first information comprises geographic information, personnel information, building information and weather information of a target area, the target area is an area for building a communication network, the communication network comprises a starting point, a relay supplementing point and an end point, and handheld ad hoc network radio stations are arranged at the positions of the starting point and the end point;
determining the position information of the relay position supplementing point according to the first information;
sending a first control command according to the position information of the relay supplementing point, wherein the first control command comprises a command for controlling an unmanned aerial vehicle to stop at the relay supplementing point, and the unmanned aerial vehicle is loaded with a radio station;
and acquiring second information, wherein the second information comprises confirmation information that the unmanned aerial vehicle is parked at the relay position supplementing point, and after the second information is acquired, the method for establishing the communication network is completed.
2. The method for building a communication network according to claim 1, further comprising, after acquiring the second information:
acquiring third information and fourth information, wherein the third information is a real-time image acquired by the unmanned aerial vehicle, and the real-time image is acquired by an image acquisition device installed on the unmanned aerial vehicle; the fourth information is an image library, the image library comprises at least one target object image, and the target object is an object to be avoided by the unmanned aerial vehicle;
analyzing the real-time image, analyzing the category of the real-time image to obtain a classification result, and selecting a corresponding image processing method according to the classification result to process the image to obtain a processed image;
analyzing the processed image according to the image library, analyzing whether the processed image contains the target object image, and if so, sending a second control command, wherein the second control command comprises a command for the unmanned aerial vehicle to escape or explode.
3. The method for building the communication network according to claim 2, wherein the steps of analyzing the real-time image, analyzing the category to which the real-time image belongs to obtain a classification result, and selecting a corresponding image processing method according to the classification result to process the image to obtain a processed image comprise:
and analyzing the real-time image, analyzing whether the real-time image is a first image, if so, enhancing the real-time image by adopting a first processing method to obtain a first processed image, otherwise, enhancing the real-time image by adopting a second processing method to obtain a second processed image.
4. The method for building a communication network according to claim 3, wherein the processing is performed by a first processing method to obtain a first processed image, and the method comprises the following steps:
decomposing the real-time image by adopting a Gauss-Laplacian pyramid decomposition method to obtain a first pyramid and a second pyramid, wherein the first pyramid comprises a Gauss pyramid with a plurality of layers of Gauss sub-images, and the second pyramid comprises a Laplacian pyramid with a plurality of layers of Laplacian sub-images;
calculating the neighborhood standard deviations corresponding to each layer of the first pyramid, combining the neighborhood standard deviations corresponding to each layer to obtain a third pyramid, and performing normalization processing on the third pyramid to obtain a fourth pyramid;
processing each layer of the fourth pyramid to obtain a fifth pyramid, wherein when any layer of the fourth pyramid is processed, any layer of the fourth pyramid is marked as a first layer, a layer corresponding to the first layer in the second pyramid is marked as a second layer, and the first layer and the second layer are multiplied to obtain a third layer;
and reconstructing the fifth pyramid by adopting an image reconstruction technology to obtain the first processed image.
5. A device for setting up a communication network, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring first information, and the first information comprises geographic information, personnel information, building information and weather information of a target area, the target area is an area for building a communication network, the communication network comprises a starting point, a relay supplementing point and an end point, and handheld ad hoc network radio stations are arranged at the positions of the starting point and the end point;
the determining module is used for determining the position information of the relay supplementing point according to the first information;
the control module is used for sending a first control command according to the position information of the relay supplementing point, the first control command comprises a command for controlling the unmanned aerial vehicle to stop at the relay supplementing point, and the unmanned aerial vehicle is provided with a radio station;
and the second acquisition module is used for acquiring second information, the second information comprises confirmation information that the unmanned aerial vehicle is parked at the relay complementary site, and the establishment method of the communication network is completed after the second information is acquired.
6. A device according to claim 5, characterised in that it further comprises:
the third acquisition module is used for acquiring third information and fourth information, wherein the third information is a real-time image acquired by the unmanned aerial vehicle, and the real-time image is acquired by an image acquisition device installed on the unmanned aerial vehicle; the fourth information is an image library, the image library comprises at least one target object image, and the target object is an object to be avoided by the unmanned aerial vehicle;
the first analysis module is used for analyzing the real-time image, analyzing the category of the real-time image to obtain a classification result, and selecting a corresponding image processing method according to the classification result to process the image to obtain a processed image;
and the second analysis module is used for analyzing the processed image according to the image library, analyzing whether the processed image contains the target object image, and if so, sending a second control command, wherein the second control command comprises a command for enabling the unmanned aerial vehicle to escape or explode.
7. A device for building a communication network according to claim 6, wherein the first analysis module comprises:
and the analysis unit is used for analyzing the real-time image, analyzing whether the real-time image is a first image, wherein the first image is a foggy image, if so, enhancing the real-time image by adopting a first processing method to obtain a first processed image, otherwise, enhancing the real-time image by adopting a second processing method to obtain a second processed image.
8. A device for building a communication network according to claim 7, wherein the analysis unit comprises:
a decomposition subunit, configured to decompose the real-time image by using a gaussian-laplacian pyramid decomposition method to obtain a first pyramid and a second pyramid, where the first pyramid includes a gaussian pyramid with multiple layers of sub-images of gaussian, and the second pyramid includes a laplacian pyramid with multiple layers of sub-images of laplacian;
the first calculating subunit is configured to calculate a neighborhood standard deviation corresponding to each layer of the first pyramid, combine the neighborhood standard deviations corresponding to each layer to obtain a third pyramid, and perform normalization processing on the third pyramid to obtain a fourth pyramid;
a second calculating subunit, configured to process each layer of the fourth pyramid to obtain a fifth pyramid, where when any layer of the fourth pyramid is processed, the any layer of the fourth pyramid is marked as a first layer, a layer corresponding to the first layer in the second pyramid is marked as a second layer, and the first layer and the second layer are multiplied to obtain a third layer;
and the reconstruction subunit is configured to reconstruct the fifth pyramid by using an image reconstruction technique, so as to obtain the first processed image.
9. A device for setting up a communication network, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method of construction of a communication network according to any one of claims 1 to 4 when executing said computer program.
10. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when executed by a processor, carries out the steps of the method of building a communication network according to any one of claims 1 to 4.
CN202210637230.3A 2022-06-07 2022-06-07 Method, device and equipment for constructing communication network and readable storage medium Active CN115102604B (en)

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