CN112839341A - Deployment method of wireless communication network, electronic device and computer storage medium - Google Patents

Deployment method of wireless communication network, electronic device and computer storage medium Download PDF

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Publication number
CN112839341A
CN112839341A CN202011481949.XA CN202011481949A CN112839341A CN 112839341 A CN112839341 A CN 112839341A CN 202011481949 A CN202011481949 A CN 202011481949A CN 112839341 A CN112839341 A CN 112839341A
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deployment
wireless communication
communication network
network
data
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CN112839341B (en
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马力
张学琴
万明银
李雪
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Shenzhen Zhizaogu Industrial Internet Innovation Center Co Ltd
Shenzhen Jingjiang Yunchuang Technology Co Ltd
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Shenzhen Zhizaogu Industrial Internet Innovation Center Co Ltd
Shenzhen Jingjiang Yunchuang Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22Traffic simulation tools or models
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/10Scheduling measurement reports ; Arrangements for measurement reports
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The application relates to a deployment method of a wireless communication network, electronic equipment and a computer storage medium. The method comprises the following steps: acquiring communication performance requirement data of a wireless communication network; acquiring application environment data of a wireless communication network; obtaining a first deployment suggestion of the wireless communication network according to the communication performance requirement data of the wireless communication network and the wireless communication network deployment information stored in the first database; obtaining a second deployment suggestion of the wireless communication network according to the application environment data of the wireless communication network and the wireless communication network deployment information stored in a second database; and integrating the first deployment suggestion and the second deployment suggestion according to a preset integration rule to output an integrated deployment suggestion. According to the method and the device, a unified wireless communication network deployment scheme is obtained according to the communication performance requirement and the application environment requirement of the communication network, so that the anti-interference capability and the stability of the wireless communication network are enhanced.

Description

Deployment method of wireless communication network, electronic device and computer storage medium
Technical Field
The present application relates to the field of wireless communications, and in particular, to a deployment method of a wireless communication network, an electronic device, and a computer storage medium.
Background
At present, the wireless communication technology has the advantages of flexible installation, convenient debugging, convenient maintenance, low cost, no need of wiring or reduction of the number of wiring, no regional limitation on deployment and the like, and is widely applied to the fields of factory workshop wireless data acquisition, engine monitoring and the like. For example, with the development of wireless communication technologies such as the fifth generation mobile communication technology (5G), a lot of new industrial application scenarios such as intelligent logistics, remote control, remote operation and maintenance are brought to industrial applications. However, the wireless communication has poor interference resistance and stability, so that the application in the industrial field is limited.
In addition, the environments of vibration, moisture, temperature and the like in the industrial application scene are worse and more complicated than the common environment, and the reliability, stability and anti-interference performance of wireless communication are affected by inter-production-line interference, dust, oil stain, personnel movement, equipment movement, production raw material movement and the like in the industrial application scene. In addition, different industrial application scenarios have different requirements on throughput, delay, transmission speed and response speed of wireless communication. Therefore, the deployment scheme of the industrial wireless communication network is complex in flow and has no uniform deployment standard.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a deployment method of a wireless communication network, an electronic device, and a computer storage medium for obtaining a deployment scheme of the wireless communication network with a unified standard according to communication performance requirements and application environment requirements of the communication network, so as to enhance the interference resistance and stability of the wireless communication network.
A first aspect of the present application provides a method for deploying a wireless communication network, the method comprising:
acquiring communication performance requirement data of a wireless communication network, wherein the communication performance requirement data of the wireless communication network at least comprises network throughput, maximum data delay, transmission speed, industrial application category, signal coverage area or space;
acquiring application environment data of a wireless communication network, wherein the application environment data of the wireless communication network at least comprises electronic interference environment data, electromagnetic attenuation environment data and a safety mechanism;
obtaining a first deployment suggestion of the wireless communication network according to the communication performance requirement data of the wireless communication network and the wireless communication network deployment information stored in a first database;
obtaining a second deployment suggestion of the wireless communication network according to the application environment data of the wireless communication network and the wireless communication network deployment information stored in a second database;
and integrating the first deployment suggestion and the second deployment suggestion according to a preset integration rule to output an integrated deployment suggestion.
Optionally, the obtaining a first deployment recommendation of the wireless communication network according to the communication performance requirement data of the wireless communication network and the information of the wireless communication network deployment stored in the first library includes:
searching a throughput deployment information base according to the acquired network throughput to obtain a network throughput deployment suggestion matched with the network throughput;
searching a data delay deployment information base according to the obtained maximum data delay to obtain a data maximum delay deployment suggestion matched with the data maximum delay;
searching a transmission speed deployment information base according to the acquired transmission speed to obtain a transmission speed delay deployment suggestion matched with the transmission speed;
searching an industrial application category deployment information base according to the obtained industrial application category to obtain an industrial application category deployment suggestion matched with the industrial application category;
and searching a signal coverage deployment information base according to the acquired signal coverage area to obtain a signal coverage area deployment suggestion matched with the signal coverage area.
Optionally, the obtaining a first deployment recommendation of the wireless communication network according to the communication performance requirement data of the wireless communication network and the information of the wireless communication network deployment stored in the first library includes:
calculating a network deployment characteristic value according to a network deployment characteristic value function Q, wherein the function Q is W1A + w 2B + w 3C + w 4D + w 5E, searching the first database according to the network deployment characteristic value to determine a first deployment recommendation corresponding to the network deployment characteristic value, wherein Q represents a network deployment characteristic value, A represents the network throughput, B represents the maximum data delay, C represents the transmission speed, D represents the industrial application category, E represents the signal coverage area, w1, w2, w3, w4 and w5 are weighted values, and the first database defines the corresponding relation between different characteristic value ranges and different first deployment recommendations.
Optionally, the obtaining a second deployment recommendation of the wireless communication network according to the application environment data of the wireless communication network and the information of the wireless communication network deployment stored in the second repository includes:
searching an electronic interference environment deployment information base according to the acquired electronic interference environment data to obtain an electronic interference environment deployment suggestion matched with the electronic interference environment data;
searching an electromagnetic attenuation environment deployment information base according to the acquired electromagnetic attenuation environment data to obtain an electromagnetic attenuation environment deployment suggestion matched with the electromagnetic attenuation environment data;
and searching a safety mechanism deployment information base according to the acquired safety mechanism to obtain a safety mechanism deployment suggestion matched with the safety mechanism.
Optionally, the obtaining a second deployment recommendation of the wireless communication network according to the application environment data of the wireless communication network and the information of the wireless communication network deployment stored in the second repository includes:
calculating to obtain a network deployment characteristic value according to a network deployment characteristic value function q (a, b, c) w 1a + w2 b + w3 c, and searching the second database according to the network deployment characteristic value to determine a second deployment recommendation with the network deployment characteristic value, wherein q represents the network deployment characteristic value, a represents the electronic interference environment data, b represents the electromagnetic attenuation environment data, c represents the safety mechanism, and w1, w2 and w3 are weight values, wherein the second database defines corresponding relations between different characteristic value ranges and different second deployment recommendations.
Optionally, the preset integration rule includes a duplicate removal deployment recommendation and/or a contradictory removal deployment recommendation, and the integrating the first deployment recommendation and the second deployment recommendation according to the preset integration rule to output an integrated deployment recommendation includes:
and removing repeated deployment suggestions and/or removing contradictory deployment suggestions from the first deployment suggestion and the second deployment suggestion according to the preset integration rule to obtain the integrated deployment suggestion.
Optionally, the preset integration rule includes a deployment suggestion with a low removal importance, and the integrating the first deployment suggestion and the second deployment suggestion according to the preset integration rule to output an integrated deployment suggestion includes:
and sequencing the first deployment suggestions and the second deployment suggestions according to the preset integration rule, and removing the deployment suggestions with low priority levels to obtain the integrated deployment suggestions.
Optionally, the integrated deployment recommendation includes: determining a type of a communication protocol; determining the model, performance and number of base stations; determining the type, performance and number of the sending terminal; determining the model, performance and number of gateways; determining the model, the performance and the number of the routers; determining the type, performance and quantity of the data transmission units; determining a network deployment location; a notice for the network deployment is determined.
Optionally, the types of the communication protocols include a wireless addressable remote sensor data highway communication protocol, an isa100.11a communication protocol, an industrial wireless network communication protocol oriented to industrial process automation, a wireless communication network and communication profile communication protocol, a long-distance radio communication protocol, a narrow-band internet of things communication protocol, a wireless fidelity communication protocol, and a fifth generation mobile communication protocol.
Optionally, the information of the wireless communication network deployment stored in the first database is obtained by learning a correspondence between communication performance requirement data of the wireless communication network and the information of the wireless communication network deployment through a first deep learning model, where the first deep learning model includes at least one of a convolutional neural network model, a dynamic convolutional neural network model, a recurrent neural network model, a hierarchical attention neural network model, and a recurrent neural network model.
Optionally, the information about the wireless communication network deployment stored in the second database is obtained by learning a corresponding relationship between the application environment data of the wireless communication network and the information about the wireless communication network deployment through a second deep learning model, where the second deep learning model includes at least one of a convolutional neural network model, a dynamic convolutional neural network model, a recurrent neural network model, a hierarchical attention neural network model, and a recurrent neural network model.
Optionally, the method further comprises:
and generating a wireless network deployment scheme according to the integrated deployment suggestions, and outputting the wireless network deployment scheme.
Optionally, the method further comprises:
the method comprises the steps of obtaining test data of the wireless communication network and generating a test report according to the test data.
A second aspect of the present application provides an electronic device comprising a memory and a processor: wherein the memory is to store program instructions; the processor is configured to read and execute the program instructions stored in the memory, and when the program instructions are executed by the processor, the electronic device is enabled to execute the deployment method of the wireless communication network.
A third aspect of the present application provides a computer storage medium storing program instructions that, when run on an electronic device, cause the electronic device to perform the above-mentioned deployment method of a wireless communication network.
According to the method and the device, a unified wireless communication network deployment scheme can be obtained according to the communication performance requirement and the application environment requirement of the communication network, so that the anti-interference capability and the stability of the wireless communication network are enhanced.
Drawings
Fig. 1 is an application environment diagram of a deployment method of a wireless communication network according to an embodiment of the present application.
Fig. 2 is a block diagram of an electronic device according to an embodiment of the present application.
Fig. 3 is a functional block diagram of a deployment system of a wireless communication network according to an embodiment of the present application.
Fig. 4 is a flowchart of a deployment method of a wireless communication network according to an embodiment of the present application.
Description of the main elements
Deployment system of wireless communication network 100
Electronic device 10
Client terminal 20
Processing unit 11
Memory cell 12
The first database 15
The second database 16
Throughput deployment information base 151
Data delay deployment information base 152
Transmission speed deployment information base 153
Industrial application class deployment information base 154
Signal coverage deployment information base 155
Electronic interference environment deployment information base 161
Electromagnetic attenuation environment deployment information base 162
Security mechanism deployment information base 163
Explosion-proof deployment information base 164
Network performance data input module 101
Application environment data input module 102
First deployment evaluation module 103
Second deployment evaluation module 104
Integration module 105
Output module 106
Performance test module 107
Step (ii) of S401~S406
The following detailed description will further illustrate the present application in conjunction with the above-described figures.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It will be understood that when an element is referred to as being "electrically connected" to another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "electrically connected" to another element, it can be connected by contact, e.g., by wires, or by contactless connection, e.g., by contactless coupling.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, a diagram of an application environment of a deployment system 100 of a wireless communication network according to an embodiment of the present application is shown. The deployment system 100 of the wireless communication network is applied to an electronic device 10. The electronic device 10 is communicatively connected to at least one client terminal 20. The client terminal 20 is used for receiving data input by a user and transmitting the input data to the electronic device 10. The electronic device 10 is configured to generate a wireless network deployment scenario from the received data. The electronic equipment can be a computer, a server and the like.
In another embodiment, the deployment system 100 of the wireless communication network is applied in the client terminal 20, and is configured to receive data input by a user and generate a wireless network deployment scenario according to the received data.
Referring to fig. 2, a block diagram of an electronic device 10 according to an embodiment of the disclosure is shown. In the present embodiment, the electronic device 10 includes a processing unit 11, a storage unit 12, a first database 15 and a second database 16. The processing unit 11 is connected to the storage unit 12, the first database 15 and the second database 16, respectively. In this embodiment, the Processing Unit 11 may be a Central Processing Unit (CPU), other general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, or the like. The processing unit 11 may be any conventional processor, etc., and the processing unit 11 may also be a control center of the electronic device 10, and various interfaces and lines are used to connect various parts of the whole electronic device 10. In the present embodiment, the storage unit 12 is used for storing data and/or software codes. The storage unit 12 may be an internal storage unit in the electronic device 10, such as a hard disk or a memory in the electronic device 10. In another embodiment, the storage unit 12 may also be an external storage device in the electronic device 10, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like equipped on the electronic device 10. The first repository 15 and the second repository 16 store information of wireless communication network deployments.
Referring to fig. 3, a functional block diagram of a deployment system 100 of a wireless communication network according to an embodiment of the present application is shown. In this embodiment, the deployment system 100 of the wireless communication network includes one or more modules, and the one or more modules are operated in the electronic device 10. In this embodiment, the deployment system 100 of the wireless communication network includes a network performance data input module 101, an application environment data input module 102, a first deployment evaluation module 103, a second deployment evaluation module 104, an integration module 105, an output module 106, and a performance test module 107. The network performance data input module 101, the application environment data input module 102, the first deployment evaluation module 103, the second deployment evaluation module 104, the integration module 105, the output module 106, and the performance test module 107 are stored in the storage unit 12 of the electronic device 10, and are invoked and executed by the processing unit 11. The modules referred to herein are a series of computer program instruction segments that are capable of performing specific functions and that are more suitable than programs for describing the execution of the procedures in the deployment system 100 of a wireless communication network. In other embodiments, the network performance data input module 101, the application environment data input module 102, the first deployment evaluation module 103, the second deployment evaluation module 104, the integration module 105, the output module 106, and the performance testing module 107 are program segments or code embedded or cured in the electronic device 10.
The network performance data input module 101 is configured to obtain communication performance requirement data of the wireless communication network.
In this embodiment, the data required for the communication performance of the wireless communication network at least includes network throughput, maximum data delay, transmission speed, industrial application type, and signal coverage area. In this embodiment, the industrial application categories include control, data acquisition, data transmission, and monitoring. Wherein the control categories include near field control and far field control. The near field control means that an operation command is generated in an industrial field and is not transmitted through a cloud network and a long distance. The far-field control means that a control operation command does not occur in an industrial field, and the control command is transmitted through a cloud network and a long distance, such as remote operation and maintenance. In the present embodiment, different industrial application categories have different requirements for reliability, stability, security, and interference immunity of wireless transmission.
In this embodiment, the communication performance requirement data of the wireless communication network may be input by the user logged in by the client terminal 20 and then transmitted to the electronic device 10 by the client terminal 20. In another embodiment, the communication performance requirement data of the wireless communication network may be input by the user at the electronic device 10, or the communication performance requirement data of the wireless communication network may be imported to the electronic device 10 by the user when the electronic device 10 accesses another database or memory device storing the communication performance requirement data of the wireless communication network.
As shown in the following table, in this embodiment, the communication performance requirement data of the wireless communication network further includes an application industry name, a service number, a service characteristic, an application area, a signal coverage area, a network type, a maximum number of accessible terminals, a single user peak rate, a mobile type, a mobile rate, a device location requirement, communication reliability, communication stability, a security mechanism, a real-time communication requirement, a component life cycle, network availability, and network risk management. In this embodiment, the industry name refers to a specific industry of the wireless communication network application, for example, the industry name may be manufacturing industry. The service name refers to a service applied by a wireless communication network, and for example, the service name may be a workshop production data acquisition and production line monitoring service. In this embodiment, the service features are divided into a real-time periodic service, a real-time aperiodic service, a non-real-time service, and a mixed service according to communication features of transmission data. In this real-time example, the application areas at least include indoor, outdoor, and indoor and outdoor. In this embodiment, the signal coverage area refers to a geographical area that is accessible to a communication service required by a terminal device (e.g., a transmitting terminal in a wireless communication network). The network type refers to the connection relationship between the local area network and the public network. The network types comprise disconnection of a local area network and a public network, connection of the local area network and the public network through middleware or VPN, and direct connection of the local area network and the public network. In this embodiment, the mobility type refers to a transmission terminal mobility type in a wireless communication network. The movement types include: stationary, stationary and area restricted movement, nomadic movement. In this embodiment, the device location requirement refers to a location requirement of a transmitting terminal in the wireless communication network. The equipment positioning requirements comprise no positioning requirements, general positioning requirements and accurate positioning requirements. The security mechanism refers to a security mechanism for data communication in the wireless communication network. In this embodiment, the security mechanisms include lte security mechanisms and tetra security mechanisms. The component life cycle refers to the service life of a base station and/or a sending terminal in the wireless communication network. The network availability refers to communication interruption data of the wireless communication network. The network risk management refers to the protection and fault tolerance capability of the network in the industrial production process.
Watch 1
Figure RE-GDA0002997845900000071
Figure RE-GDA0002997845900000081
The application environment data input module 102 is configured to obtain application environment data of a wireless communication network.
In this embodiment, the application environment data of the wireless communication network at least includes electronic interference environment data, electromagnetic attenuation environment data, and a security mechanism.
In this embodiment, in order to ensure that deployment is achieved in an industrial scenario of a deployed wireless communication network, it is necessary to evaluate an environment of the industrial scenario to obtain electronic interference environment data. In a specific implementation manner, the electronic interference environment data can be obtained by evaluating the noise environment of the industrial scene, the absorption and attenuation degree of the industrial scene on the wireless communication signal, the penetrability requirement of the industrial field, the personnel movement of the industrial field, the equipment movement, the influence of the material movement on the stability and reliability of the wireless communication, and the like.
The electronic interference environment data comprises an application area, an industrial site name, an industrial site position, an industrial site area, a noise frequency range, a noise amplitude range, a noise source and noise persistence. In this embodiment, the noise frequency range is 0Hz to 4000 MHz. The noise amplitude range is 0db-100 db. The noise sources are punches and grinders. The noise persistence includes two types of noise persistence type and noise discontinuity type.
In this embodiment, the electromagnetic attenuation environment data includes an application area, an industrial site name, an industrial site location, an industrial site area, data on an absorption state of a wireless communication signal, and a penetrability requirement of an industrial site. In this embodiment, the data of the absorption state of the wireless communication signal includes data of the absorption of the wireless signal by the volume of water, metal, and equipment in the industrial site. For example, the absorption state data of the wireless communication signal includes absorption data of high-frequency wireless signals by water, metal, and volume of equipment in the industrial site.
The security mechanism of the application environment data of the wireless communication network comprises an lte security mechanism and a tetra security mechanism.
In another embodiment, the application environment data of the wireless communication network further includes explosion-proof data, dust, oil stain, chemical corrosion, vibration, temperature, and humidity, in addition to the electronic interference environment data, electromagnetic attenuation environment data, and safety mechanism.
In this embodiment, the explosion-proof data may adopt the data required by the national explosion-proof standard GB 3836 for electrical equipment in an explosive environment. The threshold power of continuous transmission and pulsed transmission with a pulse time exceeding the thermal light-off time of a radio frequency source (e.g., a transmitting terminal) in a wireless communication network should not exceed the value of table two, and the threshold energy of a pulsed radar with a continuous transmission and pulse time shorter than the thermal light-off time of a radio frequency source in a wireless communication network should not exceed the value of table three.
Watch two
Figure RE-GDA0002997845900000091
Watch III
Class of devices Threshold power/Zth/uJ
Class I 1500
Class II A 950
Class II B 250
Class II C 50
Class III 1500
The first deployment evaluation module 103 is configured to obtain a first deployment recommendation of the wireless communication network according to the communication performance requirement data of the wireless communication network and the information of the wireless communication network deployment stored in the first repository 15. In this embodiment, the information about the wireless communication network deployment stored in the first database 15 is obtained by learning the correspondence between the communication performance requirement data of the wireless communication network and the information about the wireless communication network deployment through a first deep learning model. The first deep learning model comprises at least one of a convolutional neural network model, a dynamic convolutional neural network model, a recurrent neural network model, a hierarchical attention neural network model and a recurrent neural network model.
Referring to fig. 2, in the present embodiment, the first database 15 at least includes a throughput deployment information base 151, a data delay deployment information base 152, a transmission speed deployment information base 153, an industrial application type deployment information base 154, and a signal coverage deployment information base 155. The first deployment evaluation module 103 searches the throughput deployment information base 151 according to the acquired network throughput to obtain a network throughput deployment suggestion matched with the network throughput, for example, the first deployment evaluation module 103 searches the wireless network deployment information matched with the network throughput in the throughput deployment information base 151 according to the range of the network throughput, so as to obtain the network throughput deployment suggestion matched with the network throughput.
The first deployment evaluation module 103 searches the data delay deployment information base 152 according to the obtained maximum data delay to obtain a maximum data delay deployment suggestion matched with the maximum data delay, for example, the first deployment evaluation module 103 searches the wireless network deployment information matched with the maximum data delay in the data delay deployment information base 152 according to the range of the maximum data delay, so as to obtain the maximum data delay deployment suggestion matched with the maximum data delay.
The first deployment evaluation module 103 searches the transmission speed deployment information base 153 according to the acquired transmission speed to obtain a transmission speed delay deployment suggestion matched with the transmission speed, for example, the first deployment evaluation module 103 searches the wireless network deployment information matched with the transmission speed in the transmission speed deployment information base 153 according to the range of the transmission speed, so as to obtain a data maximum delay deployment suggestion matched with the transmission speed.
The first deployment evaluation module 103 searches the industrial application category deployment information base 154 according to the obtained industrial application category to obtain an industrial application category deployment suggestion matched with the industrial application category, for example, the first deployment evaluation module 103 searches the wireless network deployment information matched with the industrial application category in the industrial application category deployment information base 154 according to the industrial application category to obtain the industrial application category deployment suggestion matched with the industrial application category.
The first deployment evaluation module 103 searches the signal coverage deployment information base 155 according to the acquired signal coverage area to obtain a signal coverage area deployment suggestion matched with the signal coverage area, for example, the first deployment evaluation module 103 searches the wireless network deployment information matched with the signal coverage area in the signal coverage deployment information base 155 according to the signal coverage area to obtain the signal coverage area deployment suggestion matched with the signal coverage area.
In another embodiment, the first deployment recommendation of the wireless communication network is determined by five elements of network throughput, maximum data delay, transmission speed, industrial application class, signal coverage area and the like. The first deployment evaluation module 103 obtains a network deployment characteristic value by calculating according to a network deployment characteristic value function Q ═ F (a, B, C, D, E) ═ w1 · a + w2 · B + w3 · C + w4 · D + w5 · E, and finds the first repository 15 according to the network deployment characteristic value to determine a first deployment recommendation corresponding to the network deployment characteristic value. Wherein Q represents a network deployment characteristic value; a represents the network throughput, measured on a scale of 1 to 5; b represents the maximum time delay of the data, measured on a scale of 1 to 5; c represents the transmission speed, measured on a scale of 1 to 5; d represents a category of industrial applications, measured on a scale of 1 to 5; e represents the signal coverage area, measured on a scale of 1 to 5; w1, w2, w3, w4 and w5 are weighted values. In this embodiment, the calculation function F sets different weight values w1, w2, w3, w4, and w5 for the network throughput, the maximum data delay, the transmission speed, the industrial application type, and the signal coverage area according to the deployment situation of the actual wireless communication network, so as to calculate and obtain the network deployment characteristic value. In this embodiment, the first database 15 defines the corresponding relationship between different feature value ranges and different first deployment suggestions. Specifically, the range of the characteristic values of the first database 15 includes a first range, a second range, a third range, a fourth range and a fifth range. The network deployment characteristic value corresponding to the first range is 1-5, the network deployment characteristic value corresponding to the second range is 6-10, the network deployment characteristic value corresponding to the third range is 11-15, the network deployment characteristic value corresponding to the fourth range is 16-20, and the network deployment characteristic value corresponding to the fifth range is 21-25. The larger the network deployment characteristic value is, the higher the deployment requirement on the wireless communication network is.
In this embodiment, the first deployment evaluation module 103 may further obtain an application industry name deployment suggestion matched with the application industry name according to the application industry name and the wireless communication network deployment information stored in the first database 15; or the first deployment evaluation module 103 obtains a service name deployment suggestion matched with a service name according to the service name and the wireless communication network deployment information stored in the first database 15; or the first deployment evaluation module 103 obtains a service feature deployment suggestion matched with the service feature according to the service feature and the wireless communication network deployment information stored in the first database 15; or the first deployment evaluation module 103 obtains an application area deployment suggestion matched with the application area according to the application area and the wireless communication network deployment information stored in the first database 15; or the first deployment evaluation module 103 obtains a deployment suggestion of the signal coverage area matching the signal coverage area according to the signal coverage area and the wireless communication network deployment information stored in the first repository 15; or the first deployment evaluation module 103 obtains a network type deployment suggestion matched with the network type area according to the network type and the wireless communication network deployment information stored in the first database 15; or the first deployment evaluation module 103 obtains a terminal deployment suggestion matching the maximum number of accessible terminals according to the maximum number of accessible terminals and the wireless communication network deployment information stored in the first repository 15; or the first deployment evaluation module 103 obtains a single-user peak rate deployment suggestion matched with the single-user peak rate according to the single-user peak rate and the wireless communication network deployment information stored in the first database 15; or the first deployment evaluation module 103 obtains a mobile type deployment suggestion matched with the mobile type rate according to the mobile type and the wireless communication network deployment information stored in the first repository 15; or the first deployment evaluation module 103 obtains an equipment positioning deployment suggestion rate-matched with the equipment positioning requirement according to the equipment positioning requirement and the wireless communication network deployment information stored in the first repository 15; or the first deployment evaluation module 103 obtains an equipment positioning deployment suggestion matched with the equipment positioning requirement according to the equipment positioning requirement and the wireless communication network deployment information stored in the first repository 15; or the first deployment evaluation module 103 obtains a deployment suggestion of communication reliability matching with communication reliability according to the communication reliability and the information of wireless communication network deployment stored in the first repository 15; or the first deployment evaluation module 103 obtains a deployment suggestion of communication stability matching with communication stability according to the communication stability and the information of wireless communication network deployment stored in the first repository 15; or the first deployment evaluation module 103 obtains a security mechanism deployment suggestion matched with the security mechanism according to the security mechanism and the wireless communication network deployment information stored in the first repository 15; or the first deployment evaluation module 103 obtains a real-time communication deployment suggestion matched with the real-time communication requirement according to the real-time communication requirement and the wireless communication network deployment information stored in the first repository 15; or the first deployment evaluation module 103 obtains a component lifecycle deployment recommendation matching the component lifecycle requirements according to the component lifecycle and the information of wireless communication network deployment stored in the first repository 15; or the first deployment evaluation module 103 obtains a network availability deployment suggestion matching the network availability according to the network availability and the wireless communication network deployment information stored in the first repository 15; or the first deployment evaluation module 103 obtains a deployment recommendation of network risk management matching with network risk management according to network risk management and the wireless communication network deployment information stored in the first repository 15.
The second deployment evaluation module 104 obtains a second deployment recommendation of the wireless communication network according to the application environment data of the wireless communication network and the information of the wireless communication network deployment stored in the second repository 16. In this embodiment, the information about the wireless communication network deployment stored in the second database 16 is obtained by learning the corresponding relationship between the application environment data of the wireless communication network and the information about the wireless communication network deployment through a second deep learning model. The second deep learning model comprises at least one of a convolutional neural network model, a dynamic convolutional neural network model, a recurrent neural network model, a hierarchical attention neural network model and a recurrent neural network model.
Referring to fig. 2, in the present embodiment, the second library 16 at least includes an electronic interference environment deployment information library 161, an electromagnetic attenuation environment deployment information library 162, a security mechanism deployment information library 163, and an explosion-proof deployment information library 164. The second deployment evaluation module 104 searches the electronic interference environment deployment information base 161 according to the acquired electronic interference environment data to obtain an electronic interference environment deployment suggestion matched with the electronic interference environment data, for example, when the second deployment evaluation module 104 determines that an electronic interference environment exists, the second deployment evaluation module searches the wireless network deployment information matched with the electronic interference environment in the electronic interference environment deployment information base 161, so as to obtain a deployment suggestion matched with the electronic interference environment. Specifically, when the second deployment evaluation module 104 determines that an electronic interference environment exists, the deployment recommendation matched with the electronic interference environment is searched in the electronic interference environment deployment information base 161, and data transmission is performed by adopting communication modes such as frequency hopping, spread spectrum, or redundant transmission.
The second deployment evaluation module 104 searches the electromagnetic attenuation environment deployment information base 162 according to the acquired electromagnetic attenuation environment data to obtain an electromagnetic attenuation environment deployment suggestion matched with the electromagnetic attenuation environment data, for example, when the second deployment evaluation module 104 determines that an electromagnetic attenuation environment exists, the second deployment evaluation module searches the electromagnetic attenuation environment deployment information base 162 for wireless network deployment information matched with the electromagnetic attenuation environment, so as to obtain a deployment suggestion matched with the electromagnetic attenuation environment. Specifically, when the second deployment evaluation module 104 determines that an electromagnetic attenuation environment exists, the deployment recommendation matching the electromagnetic attenuation environment is searched in the electromagnetic attenuation environment deployment information base 162 to increase the transmission power or increase the deployment density of the base station.
The second deployment evaluation module 104 searches the security mechanism deployment information base 163 according to the obtained security mechanism to obtain a security mechanism deployment suggestion matched with the security mechanism, for example, the second deployment evaluation module 104 searches the data delay deployment information base 152 for wireless network deployment information matched with the category of the security mechanism according to the category of the security mechanism, so as to obtain a deployment suggestion matched with the security mechanism.
In another embodiment, the second deployment recommendation for the wireless communication network is determined by three factors, electronic interference environment data, electromagnetic attenuation environment data, security mechanisms, and the like. The second deployment evaluation module 104 obtains a network deployment feature value by calculating according to a network deployment feature value function q ═ f (a, b, c) ═ w1 · a + w2 · b + w3 · c, and finds the second repository 16 according to the network deployment feature value to determine a second deployment recommendation together with the network deployment feature value. Wherein q represents a network deployment characteristic value; a represents the electronic interference environment data, measured on a scale of 1 to 3; b represents electromagnetic attenuation environment data, measured on a scale of 1 to 3; c represents a security mechanism, measured on a scale of 1 to 3; w1, w2 and w3 are weight values. In this embodiment, the calculation function f sets different weight values w1, w2, and w3 for the electronic interference environment data, the electromagnetic attenuation environment data, and the security mechanism according to the deployment situation of the actual wireless communication network, so as to calculate and obtain the network deployment characteristic value. In this embodiment, the second repository 16 defines the corresponding relationship between different feature value ranges and different second deployment suggestions. Specifically, the range of the characteristic values of the second database 16 includes a first range, a second range, and a third range. The network deployment characteristic value corresponding to the first range is 1-3, the network deployment characteristic value corresponding to the second range is 4-6, and the network deployment characteristic value corresponding to the third range is 7-9. The larger the network deployment characteristic value is, the higher the deployment requirement on the wireless communication network is.
In this embodiment, the second deployment evaluation module 104 searches the explosion-proof deployment information base 164 according to the acquired explosion-proof data to obtain an explosion-proof deployment suggestion matched with the explosion-proof data, for example, the second deployment evaluation module 104 searches the wireless network deployment information matched with the explosion-proof data in the data delay deployment information base 152 according to the explosion-proof data to obtain the deployment suggestion matched with the explosion-proof data.
In this embodiment, the second deployment evaluation module 104 searches the second repository 16 according to the acquired dust and/or oil contamination and/or chemical corrosion and/or vibration and/or temperature and/or humidity to obtain a deployment recommendation matching the dust and/or oil contamination and/or a deployment recommendation matching the chemical corrosion and/or a deployment recommendation matching the vibration and/or a deployment recommendation matching the temperature and/or humidity.
The integration module 105 is configured to integrate the first deployment recommendation and the second deployment recommendation according to a preset integration rule to output an integrated deployment recommendation.
In this embodiment, the preset integration rule includes: duplicate deployment recommendations are removed and/or contradictory deployment recommendations are removed. Specifically, the integration module 105 is configured to remove duplicate deployment suggestions and/or remove contradictory deployment suggestions from the first deployment suggestion and the second deployment suggestion according to the preset integration rule to obtain an integrated deployment suggestion.
In another embodiment, the preset integration rule includes: removing deployment recommendations that are of low importance. Specifically, the integration module 105 is configured to sort the first deployment suggestion and the second deployment suggestion according to the preset integration rule, and remove the deployment suggestion with a low priority level to obtain an integrated deployment suggestion.
In this embodiment, the integrated deployment recommendation includes: determining a type of a communication protocol; determining the model, performance and number of base stations; determining the type, performance and number of the sending terminal; determining the model, performance and number of gateways; determining the model, the performance and the number of the routers; determining the model, performance and quantity of Data Transfer Units (DTUs); determining a network deployment location; a notice for the network deployment is determined.
In this embodiment, the types of the communication protocol include a Wireless Addressable Remote sensor data Highway (Wireless high access Addressable Remote transmitter, Wireless hart) communication protocol, an isa100.11a communication protocol, a Wireless network for Industrial Automation Process Automation (WIA-PA) communication protocol, a Wireless communication network and communication profiles (Wireless communication network and communication profiles, WIA-FA) communication protocol, a Long distance Radio (Long Range Radio) communication protocol, a Narrow Internet of Things (Long Range of Internet of Things, IoT-NB) communication protocol, a Wireless Fidelity (WiFi) communication protocol, and a fifth generation mobile communication (5th generation mobile network, 5G) communication protocol.
The output module 106 is configured to generate a wireless network deployment scheme according to the integrated deployment recommendation, and output the wireless network deployment scheme.
In this embodiment, the performance testing module 107 is configured to obtain test data of a wireless communication network, and generate a test report according to the test data.
In this embodiment, the performance testing module 107 obtains the network throughput, the maximum data delay, the transmission speed, the signal coverage area, the industrial application type, the electronic interference environment data, the electromagnetic attenuation environment data, and the security mechanism of the wireless communication network, and generates the test report according to the network throughput, the maximum data delay, the transmission speed, the signal coverage area, the industrial application type, the electronic interference environment data, the electromagnetic attenuation environment data, and the security mechanism of the wireless communication network, so that a user can evaluate and maintain the performance of the wireless communication network.
Referring to fig. 4, a flowchart of a deployment method of a wireless communication network according to an embodiment of the present application is shown. The order of the steps in the flow diagrams may be changed, and some steps may be omitted or combined, according to different needs. The method comprises the following steps:
step S401, obtaining the communication performance requirement data of the wireless communication network.
In this embodiment, the data required for the communication performance of the wireless communication network at least includes network throughput, maximum data delay, transmission speed, industrial application type, and signal coverage area. In this embodiment, the industrial application categories include control, data acquisition, data transmission, and monitoring. Wherein the control categories include near field control and far field control. The near field control means that an operation command is generated in an industrial field and is not transmitted through a cloud network and a long distance. The far-field control means that a control operation command does not occur in an industrial field, and the control command is transmitted through a cloud network and a long distance, such as remote operation and maintenance. In the present embodiment, different industrial application categories have different requirements for reliability, stability, security, and interference immunity of wireless transmission.
In this embodiment, the communication performance requirement data of the wireless communication network may be input by the user logged in by the client terminal 20 and then transmitted to the electronic device 10 by the client terminal 20.
Referring to table one, the communication performance requirement data of the wireless communication network further includes an application industry name, a service number, a service feature, an application area, a signal coverage area, a network type, the maximum number of terminals accessible, a single user peak rate, a mobility type, a mobility rate, a device positioning requirement, communication reliability, communication stability, a security mechanism, a real-time communication requirement, a component life cycle, network availability, and network risk management. In this embodiment, the industry name refers to a specific industry of the wireless communication network application, for example, the industry name may be manufacturing industry. The service name refers to a service applied by a wireless communication network, and for example, the service name may be a workshop production data acquisition and production line monitoring service. In this embodiment, the service features are divided into a real-time periodic service, a real-time aperiodic service, a non-real-time service, and a mixed service according to communication features of transmission data. In this real-time example, the application areas at least include indoor, outdoor, and indoor and outdoor. In this embodiment, the signal coverage area refers to a geographical area that is accessible to a communication service required by a terminal device (e.g., a transmitting terminal in a wireless communication network). The network type refers to the connection relationship between the local area network and the public network. The network types comprise disconnection of a local area network and a public network, connection of the local area network and the public network through middleware or VPN, and direct connection of the local area network and the public network. In this embodiment, the mobility type refers to a transmission terminal mobility type in a wireless communication network. The movement types include: stationary, stationary and area restricted movement, nomadic movement. In this embodiment, the device location requirement refers to a location requirement of a transmitting terminal in the wireless communication network. The equipment positioning requirements comprise no positioning requirements, general positioning requirements and accurate positioning requirements. The security mechanism refers to a security mechanism for data communication in the wireless communication network. In this embodiment, the security mechanisms include lte security mechanisms and tetra security mechanisms. The component life cycle refers to the service life of a base station and/or a sending terminal in the wireless communication network. The network availability refers to communication interruption data of the wireless communication network. The network risk management refers to the protection and fault tolerance capability of the network in the industrial production process.
Step S402, acquiring application environment data of the wireless communication network.
In this embodiment, the application environment data of the wireless communication network at least includes electronic interference environment data, electromagnetic attenuation environment data, and a security mechanism.
In this embodiment, in order to ensure that deployment is achieved in an industrial scenario of a deployed wireless communication network, it is necessary to evaluate an environment of the industrial scenario to obtain electronic interference environment data. In a specific implementation manner, the electronic interference environment data can be obtained by evaluating the noise environment of the industrial scene, the absorption and attenuation degree of the industrial scene on the wireless communication signal, the penetrability requirement of the industrial field, the personnel movement of the industrial field, the equipment movement, the influence of the material movement on the stability and reliability of the wireless communication, and the like.
The electronic interference environment data comprises an application area, an industrial site name, an industrial site position, an industrial site area, a noise frequency range, a noise amplitude range, a noise source and noise persistence. In this embodiment, the noise frequency range is 0Hz to 4000 MHz. The noise amplitude range is 0db-100 db. The noise sources are punches and grinders. The noise persistence includes two types of noise persistence type and noise discontinuity type.
In this embodiment, the electromagnetic attenuation environment data includes an application area, an industrial site name, an industrial site location, an industrial site area, data on an absorption state of a wireless communication signal, and a penetrability requirement of an industrial site. In this embodiment, the data of the absorption state of the wireless communication signal includes data of the absorption of the wireless signal by the volume of water, metal, and equipment in the industrial site. For example, the absorption state data of the wireless communication signal includes absorption data of high-frequency wireless signals by water, metal, and volume of equipment in the industrial site.
The security mechanism of the application environment data of the wireless communication network comprises an lte security mechanism and a tetra security mechanism.
In another embodiment, the application environment data of the wireless communication network further includes explosion-proof data, dust, oil stain, chemical corrosion, vibration, temperature, and humidity, in addition to the electronic interference environment data, electromagnetic attenuation environment data, and safety mechanism.
In this embodiment, the explosion-proof data may adopt the data required by the national explosion-proof standard GB 3836 for electrical equipment in an explosive environment. The threshold power of continuous transmission and pulsed transmission with a pulse time exceeding the thermal light-off time of a radio frequency source (e.g., a transmitting terminal) in a wireless communication network should not exceed the value of table two, and the threshold energy of a pulsed radar with a continuous transmission and pulse time shorter than the thermal light-off time of a radio frequency source in a wireless communication network should not exceed the value of table three.
Step 403, obtaining a first deployment recommendation of the wireless communication network according to the communication performance requirement data of the wireless communication network and the wireless communication network deployment information stored in the first repository 15. In this embodiment, the information about the wireless communication network deployment stored in the first database 15 is obtained by learning the correspondence between the communication performance requirement data of the wireless communication network and the information about the wireless communication network deployment through a first deep learning model. The first deep learning model comprises at least one of a convolutional neural network model, a dynamic convolutional neural network model, a recurrent neural network model, a hierarchical attention neural network model and a recurrent neural network model.
The electronic device 10 searches the throughput deployment information base 151 according to the acquired network throughput to obtain a network throughput deployment suggestion matching the network throughput, for example, the electronic device 10 searches the wireless network deployment information matching the network throughput in the throughput deployment information base 151 according to the range of the network throughput, so as to obtain the network throughput deployment suggestion matching the network throughput.
The electronic device 10 searches the data delay deployment information base 152 according to the obtained maximum data delay to obtain a maximum data delay deployment suggestion matched with the maximum data delay, for example, the electronic device 10 searches the wireless network deployment information matched with the maximum data delay in the data delay deployment information base 152 according to the range of the maximum data delay, so as to obtain the maximum data delay deployment suggestion matched with the maximum data delay.
The electronic device 10 searches the transmission speed deployment information base 153 according to the acquired transmission speed to obtain a transmission speed delay deployment suggestion matched with the transmission speed, for example, the electronic device 10 searches the wireless network deployment information matched with the transmission speed in the transmission speed deployment information base 153 according to the range of the transmission speed, so as to obtain a data maximum delay deployment suggestion matched with the transmission speed.
The electronic device 10 searches the industrial application category deployment information base 154 according to the obtained industrial application category to obtain an industrial application category deployment suggestion matched with the industrial application category, for example, the electronic device 10 searches the wireless network deployment information matched with the industrial application category in the industrial application category deployment information base 154 according to the industrial application category to obtain the industrial application category deployment suggestion matched with the industrial application category.
The electronic device 10 searches the signal coverage deployment information base 155 according to the acquired signal coverage area to obtain a signal coverage area deployment suggestion matched with the signal coverage area, for example, the electronic device 10 searches the wireless network deployment information matched with the signal coverage area in the signal coverage deployment information base 155 according to the signal coverage area to obtain the signal coverage area deployment suggestion matched with the signal coverage area.
In another embodiment, the first deployment recommendation of the wireless communication network is determined by five elements of network throughput, maximum data delay, transmission speed, industrial application class, signal coverage area and the like. The electronic device 10 obtains a network deployment feature value by calculating according to a network deployment feature value function Q ═ F (a, B, C, D, E) ═ w1 · a + w2 · B + w3 · C + w4 · D + w5 · E, and searches the first repository 15 according to the network deployment feature value to determine a first deployment recommendation corresponding to the network deployment feature value. Wherein Q represents a network deployment characteristic value; a represents the network throughput, measured on a scale of 1 to 5; b represents the maximum time delay of the data, measured on a scale of 1 to 5; c represents the transmission speed, measured on a scale of 1 to 5; d represents a category of industrial applications, measured on a scale of 1 to 5; e represents the signal coverage area, measured on a scale of 1 to 5; w1, w2, w3, w4 and w5 are weighted values. In this embodiment, the calculation function F sets different weight values w1, w2, w3, w4, and w5 for the network throughput, the maximum data delay, the transmission speed, the industrial application type, and the signal coverage area according to the deployment situation of the actual wireless communication network, so as to calculate and obtain the network deployment characteristic value. In this embodiment, the first database 15 defines the corresponding relationship between different feature value ranges and different first deployment suggestions. Specifically, the range of the characteristic values of the first database 15 includes a first range, a second range, a third range, a fourth range and a fifth range. The network deployment characteristic value corresponding to the first range is 1-5, the network deployment characteristic value corresponding to the second range is 6-10, the network deployment characteristic value corresponding to the third range is 11-15, the network deployment characteristic value corresponding to the fourth range is 16-20, and the network deployment characteristic value corresponding to the fifth range is 21-25. The larger the network deployment characteristic value is, the higher the deployment requirement on the wireless communication network is.
In this embodiment, the electronic device 10 may further obtain an application industry name deployment suggestion matched with the application industry name according to the application industry name and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains a service name deployment suggestion matched with the service name according to the service name and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains a service feature deployment suggestion matched with the service feature according to the service feature and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains an application area deployment suggestion matched with the application area according to the application area and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains a deployment suggestion of the signal coverage area matching the signal coverage area according to the signal coverage area and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains a network type deployment suggestion matched with the network type area according to the network type and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains a terminal deployment suggestion matching the maximum number of accessible terminals according to the maximum number of accessible terminals and the wireless communication network deployment information stored in the first repository 15; or the electronic device 10 obtains a single-user peak rate deployment suggestion matched with the single-user peak rate according to the single-user peak rate and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains a mobile type deployment suggestion matched with the mobile type rate according to the mobile type and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains a device location deployment suggestion rate-matched with the device location requirement according to the device location requirement and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains a device location deployment suggestion matched with the device location requirement according to the device location requirement and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains a communication reliability deployment suggestion matched with the communication reliability according to the communication reliability and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains a communication stability deployment suggestion matched with the communication stability according to the communication stability and the information of the wireless communication network deployment stored in the first repository 15; or the electronic device 10 obtains a security mechanism deployment suggestion matched with the security mechanism according to the security mechanism and the wireless communication network deployment information stored in the first repository 15; or the electronic device 10 obtains a real-time communication deployment suggestion matched with the real-time communication requirement according to the real-time communication requirement and the wireless communication network deployment information stored in the first database 15; or the electronic device 10 obtains a component lifecycle deployment recommendation matching the component lifecycle requirements according to the component lifecycle and the information of wireless communication network deployment stored in the first repository 15; or the electronic device 10 obtains a network availability deployment suggestion matching the network availability according to the network availability and the information of the wireless communication network deployment stored in the first repository 15; or the electronic device 10 obtains a deployment recommendation of the cyber risk management matching with the cyber risk management according to the cyber risk management and the information of the wireless communication network deployment stored in the first repository 15.
Step S404, a second deployment suggestion of the wireless communication network is obtained according to the application environment data of the wireless communication network and the wireless communication network deployment information stored in the second database 16. In this embodiment, the information about the wireless communication network deployment stored in the second database 16 is obtained by learning the corresponding relationship between the application environment data of the wireless communication network and the information about the wireless communication network deployment through a second deep learning model. The second deep learning model comprises at least one of a convolutional neural network model, a dynamic convolutional neural network model, a recurrent neural network model, a hierarchical attention neural network model and a recurrent neural network model.
The electronic device 10 searches the electronic interference environment deployment information base 161 according to the acquired electronic interference environment data to obtain an electronic interference environment deployment suggestion matched with the electronic interference environment data, for example, when the electronic device 10 determines that an electronic interference environment exists, wireless network deployment information matched with the electronic interference environment is searched in the electronic interference environment deployment information base 161, so as to obtain a deployment suggestion matched with the electronic interference environment. Specifically, when the electronic device 10 determines that the electronic interference environment exists, the deployment suggestion matched with the electronic interference environment is searched in the electronic interference environment deployment information base 161, and data transmission is performed by adopting communication modes such as frequency hopping, spread spectrum, or redundant transmission.
The electronic device 10 searches the electromagnetic attenuation environment deployment information base 162 according to the acquired electromagnetic attenuation environment data to obtain an electromagnetic attenuation environment deployment suggestion matched with the electromagnetic attenuation environment data, for example, when the electronic device 10 determines that an electromagnetic attenuation environment exists, wireless network deployment information matched with the electromagnetic attenuation environment is searched in the electromagnetic attenuation environment deployment information base 162, so as to obtain a deployment suggestion matched with the electromagnetic attenuation environment. Specifically, when the electronic device 10 determines that an electromagnetic attenuation environment exists, the deployment recommendation matched with the electromagnetic attenuation environment is searched in the electromagnetic attenuation environment deployment information base 162 to increase the transmission power or increase the deployment density of the base station.
The electronic device 10 searches the security mechanism deployment information base 163 according to the obtained security mechanism to obtain a security mechanism deployment suggestion matching the security mechanism, for example, the electronic device 10 searches the data delay deployment information base 152 for wireless network deployment information matching the category of the security mechanism according to the category of the security mechanism, so as to obtain a deployment suggestion matching the security mechanism.
In another embodiment, the second deployment recommendation for the wireless communication network is determined by three factors, electronic interference environment data, electromagnetic attenuation environment data, security mechanisms, and the like. The electronic device 10 obtains a network deployment feature value by calculating according to a network deployment feature value function q ═ f (a, b, c) ═ w1 · a + w2 · b + w3 · c, and finds the second repository 16 according to the network deployment feature value to determine a second deployment recommendation together with the network deployment feature value. Wherein q represents a network deployment characteristic value; a represents the electronic interference environment data, measured on a scale of 1 to 3; b represents electromagnetic attenuation environment data, measured on a scale of 1 to 3; c represents a security mechanism, measured on a scale of 1 to 3; w1, w2 and w3 are weight values. In this embodiment, the calculation function f sets different weight values w1, w2, and w3 for the electronic interference environment data, the electromagnetic attenuation environment data, and the security mechanism according to the deployment situation of the actual wireless communication network, so as to calculate and obtain the network deployment characteristic value. In this embodiment, the second repository 16 defines the corresponding relationship between different feature value ranges and different second deployment suggestions. Specifically, the range of the characteristic values of the second database 16 includes a first range, a second range, and a third range. The network deployment characteristic value corresponding to the first range is 1-3, the network deployment characteristic value corresponding to the second range is 4-6, and the network deployment characteristic value corresponding to the third range is 7-9. The larger the network deployment characteristic value is, the higher the deployment requirement on the wireless communication network is.
In this embodiment, the electronic device 10 searches the explosion-proof deployment information base 164 according to the acquired explosion-proof data to obtain an explosion-proof deployment suggestion matched with the explosion-proof data, for example, the electronic device 10 searches the wireless network deployment information matched with the explosion-proof data in the data delay deployment information base 152 according to the explosion-proof data to obtain the deployment suggestion matched with the explosion-proof data.
In this embodiment, the electronic device 10 searches the second database 16 according to the acquired dust and/or oil stain and/or chemical corrosion and/or vibration and/or temperature and/or humidity to obtain a deployment recommendation matched with the dust and/or oil stain and/or a deployment recommendation matched with the chemical corrosion and/or a deployment recommendation matched with the vibration and/or a deployment recommendation matched with the temperature and/or humidity.
Step S405, integrating the first deployment suggestion and the second deployment suggestion according to a preset integration rule to output an integrated deployment suggestion.
In this embodiment, the preset integration rule includes: duplicate deployment recommendations are removed and/or contradictory deployment recommendations are removed. Specifically, the electronic device 10 removes repeated deployment suggestions and/or removes contradictory deployment suggestions from the first deployment suggestion and the second deployment suggestion according to the preset integration rule to obtain an integrated deployment suggestion.
In another embodiment, the preset integration rule includes: removing deployment recommendations that are of low importance. Specifically, the electronic device 10 sorts the first deployment suggestion and the second deployment suggestion according to the preset integration rule, and removes the deployment suggestions with low priority levels to obtain the integrated deployment suggestion.
In this embodiment, the integrated deployment recommendation includes: determining a type of a communication protocol; determining the model, performance and number of base stations; determining the type, performance and number of the sending terminal; determining the model, performance and number of gateways; determining the model, the performance and the number of the routers; determining the model, performance and number of DTUs; determining a network deployment location; a notice for the network deployment is determined.
In this embodiment, the types of the communication protocols include WirelessHART communication protocol, isa100.11a communication protocol, WIA-PA communication protocol, WIA-FA communication protocol, lora communication protocol, NB-IoT communication protocol, WiFi communication protocol, and 5G communication protocol.
And S406, generating a wireless network deployment scheme according to the integrated deployment suggestions, and outputting the wireless network deployment scheme.
In this embodiment, the method further includes: the method comprises the steps of obtaining test data of the wireless communication network and generating a test report according to the test data.
In this embodiment, the electronic device 10 obtains the network throughput, the maximum data delay, the transmission speed, the signal coverage area, the industrial application type, the electronic interference environment data, the electromagnetic attenuation environment data, and the security mechanism of the wireless communication network, and generates the test report according to the network throughput, the maximum data delay, the transmission speed, the signal coverage area, the industrial application type, the electronic interference environment data, the electromagnetic attenuation environment data, and the security mechanism of the wireless communication network, so that a user can evaluate and maintain the performance of the wireless communication network.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is to be understood that the word "comprising" does not exclude other modules or steps, and the singular does not exclude the plural. The multiple modules or cloud platforms recited in the cloud platform claims may also be implemented by the same module or cloud platform in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present application and not for limiting, and although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present application without departing from the spirit and scope of the technical solutions of the present application.

Claims (15)

1. A method of deploying a wireless communication network, the method comprising:
acquiring communication performance requirement data of a wireless communication network, wherein the communication performance requirement data of the wireless communication network at least comprises one or more of network throughput, data maximum time delay, transmission speed, industrial application category and signal coverage area;
acquiring application environment data of a wireless communication network, wherein the application environment data of the wireless communication network at least comprises one or more of electronic interference environment data, electromagnetic attenuation environment data and a safety mechanism;
obtaining a first deployment suggestion of the wireless communication network according to the communication performance requirement data of the wireless communication network and the wireless communication network deployment information stored in a first database;
obtaining a second deployment suggestion of the wireless communication network according to the application environment data of the wireless communication network and the wireless communication network deployment information stored in a second database;
and integrating the first deployment suggestion and the second deployment suggestion according to a preset integration rule and outputting the integrated deployment suggestions.
2. The method of claim 1, wherein the deriving a first deployment recommendation for a wireless communication network based on the communication performance requirement data for the wireless communication network and the information about the wireless communication network deployment stored in the first repository comprises:
searching a throughput deployment information base according to the acquired network throughput to obtain a network throughput deployment suggestion matched with the network throughput;
searching a data delay deployment information base according to the obtained maximum data delay to obtain a data maximum delay deployment suggestion matched with the data maximum delay;
searching a transmission speed deployment information base according to the acquired transmission speed to obtain a transmission speed delay deployment suggestion matched with the transmission speed;
searching an industrial application category deployment information base according to the obtained industrial application category to obtain an industrial application category deployment suggestion matched with the industrial application category;
and searching a signal coverage deployment information base according to the acquired signal coverage area to obtain a signal coverage area deployment suggestion matched with the signal coverage area.
3. The method of claim 1, wherein the deriving a first deployment recommendation for a wireless communication network based on the communication performance requirement data for the wireless communication network and the information about the wireless communication network deployment stored in the first repository comprises:
calculating a network deployment characteristic value according to a network deployment characteristic value function Q, wherein the function Q is W1A + w 2B + w 3C + w 4D + w 5E, searching the first database according to the network deployment characteristic value to determine a first deployment recommendation corresponding to the network deployment characteristic value, wherein Q represents a network deployment characteristic value, A represents the network throughput, B represents the maximum data delay, C represents the transmission speed, D represents the industrial application category, E represents the signal coverage area, w1, w2, w3, w4 and w5 are weighted values, and the first database defines the corresponding relation between different characteristic value ranges and different first deployment recommendations.
4. The method of claim 1, wherein the deriving a second deployment recommendation for the wireless communication network based on the application environment data for the wireless communication network and the information about the wireless communication network deployment stored in the second repository comprises:
searching an electronic interference environment deployment information base according to the acquired electronic interference environment data to obtain an electronic interference environment deployment suggestion matched with the electronic interference environment data;
searching an electromagnetic attenuation environment deployment information base according to the acquired electromagnetic attenuation environment data to obtain an electromagnetic attenuation environment deployment suggestion matched with the electromagnetic attenuation environment data;
and searching a safety mechanism deployment information base according to the acquired safety mechanism to obtain a safety mechanism deployment suggestion matched with the safety mechanism.
5. The method of claim 1, wherein the deriving a second deployment recommendation for the wireless communication network based on the application environment data for the wireless communication network and the information about the wireless communication network deployment stored in the second repository comprises:
calculating to obtain a network deployment characteristic value according to a network deployment characteristic value function q (a, b, c) w 1a + w2 b + w3 c, and searching the second database according to the network deployment characteristic value to determine a second deployment recommendation with the network deployment characteristic value, wherein q represents the network deployment characteristic value, a represents the electronic interference environment data, b represents the electromagnetic attenuation environment data, c represents the safety mechanism, and w1, w2 and w3 are weight values, wherein the second database defines corresponding relations between different characteristic value ranges and different second deployment recommendations.
6. The deployment method of claim 1, wherein the preset integration rule comprises duplicate removal and/or contradictory removal of deployment suggestions, and the integrating the first deployment suggestion and the second deployment suggestion according to the preset integration rule to output an integrated deployment suggestion comprises:
and removing repeated deployment suggestions and/or removing contradictory deployment suggestions from the first deployment suggestion and the second deployment suggestion according to the preset integration rule to obtain the integrated deployment suggestion.
7. The deployment method of claim 1, wherein the preset integration rule includes a deployment recommendation with low importance removed, and the integrating the first deployment recommendation and the second deployment recommendation according to the preset integration rule to output an integrated deployment recommendation comprises:
and sequencing the first deployment suggestions and the second deployment suggestions according to the preset integration rule, and removing the deployment suggestions with low priority levels to obtain the integrated deployment suggestions.
8. The method of deployment of a wireless communication network of claim 1, wherein the integrated deployment recommendation comprises: determining a type of a communication protocol; determining the model, performance and number of base stations; determining the type, performance and number of the sending terminal; determining the model, performance and number of gateways; determining the model, the performance and the number of the routers; determining the type, performance and quantity of the data transmission units; determining a network deployment location; a notice for the network deployment is determined.
9. The method of claim 8, wherein the types of communication protocols comprise wireless addressable remote sensor data highway communication protocol, isa100.11a communication protocol, industrial process automation oriented industrial wireless network communication protocol, wireless communication network and communication profile communication protocol, long range radio communication protocol, narrowband internet of things communication protocol, wireless fidelity communication protocol, fifth generation mobile communication protocol.
10. The method according to claim 1, wherein the first library stores information about wireless communication network deployment, which is obtained by learning a correspondence relationship between communication performance requirement data of the wireless communication network and the information about wireless communication network deployment through a first deep learning model, and the first deep learning model includes at least one of a convolutional neural network model, a dynamic convolutional neural network model, a recursive neural network model, a hierarchical attention neural network model, and a recurrent neural network model.
11. The deployment method of the wireless communication network according to claim 1, wherein the second library stores information about the wireless communication network deployment, which is obtained by learning a correspondence relationship between application environment data of the wireless communication network and the information about the wireless communication network deployment through a second deep learning model, which includes at least one of a convolutional neural network model, a dynamic convolutional neural network model, a recursive neural network model, a hierarchical attention neural network model, and a recurrent neural network model.
12. The method of deployment of a wireless communication network of claim 1, the method further comprising:
and generating a wireless network deployment scheme according to the integrated deployment suggestions, and outputting the wireless network deployment scheme.
13. The method of deployment of a wireless communication network of claim 1, the method further comprising:
the method comprises the steps of obtaining test data of the wireless communication network and generating a test report according to the test data.
14. An electronic device, comprising a memory and a processor:
wherein the memory is to store program instructions;
the processor configured to read and execute the program instructions stored in the memory, and when the program instructions are executed by the processor, the electronic device is configured to perform the deployment method of the wireless communication network according to any one of claims 1 to 13.
15. A computer storage medium storing program instructions which, when run on an electronic device, cause the electronic device to perform the method of deploying a wireless communication network according to any of claims 1 to 13.
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