5G network planning method adaptive to power service access, optimization platform and medium

Abstract

The invention provides a 5G network planning method adaptive to power service access, an optimization platform and a medium, and belongs to the technical field of power wireless private networks. The method comprises the following steps: obtaining a planning area range, a user scale and user distribution, and predicting a power business volume demand according to the planning area range, the user scale and the user distribution; planning the site of a 5G base station according to the planning area range, the power business volume demand, the user scale and the user distribution, obtaining the number of the 5G base stations according to the planning area range and the site, and generating a pre-scheme; performing simulation evaluation on the pre-scheme, generating an evaluation result through the simulation model, judging whether the evaluation result meets a preset planning requirement, if not, adjusting the pre-scheme, and repeating the simulation evaluation on the adjusted pre-scheme; and generating and outputting a network planning scheme according to the pre-scheme of which the evaluation result meets the preset planning requirement. According to the invention, the convenience of network planning can be improved, and the use effect of the arranged power service network can be ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power wireless private networks, and specifically relates to a 5G network planning method, optimization platform and medium adapted for electric power service access. Background Art

[0002] The power wireless private network refers to a wireless communication network designed specifically for the power industry. As an important part of the smart grid, it aims to provide stable, reliable and secure communication services to support various applications of the smart grid.

[0003] Since the layout of the power wireless private network is affected by factors such as the regional environment, geographical conditions, and the distribution of power business terminals, when deploying the power wireless private network, it is necessary to carry out network planning based on the above factors to ensure that the final layout of the power wireless private network meets the power business volume demand.

[0004] However, it can be seen from the Chinese invention patent with application number "201910185829.6" that when conducting network planning for adapting power business access, the final planning scheme needs to be verified repeatedly, the operation convenience is poor, and the power wireless private network arranged according to the planning scheme is not easy to achieve the expected coverage effect, which affects the subsequent network usage effect. Summary of the invention

[0005] The technical problem to be solved by the present invention is how to improve the operational convenience of network planning adapted for power business access while ensuring the use effect of the power business network arranged according to the planning scheme. In view of the shortcomings of the existing technology, a 5G network planning method, optimization platform and medium adapted for power business access are provided.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0007] In a first aspect, the present invention provides a 5G network planning method adapted for power service access, comprising:

[0008] S1. Obtaining a planned area scope, user scale and user distribution, and predicting power business volume demand according to the planned area scope, user scale and user distribution;

[0009] S2. Plan the site of the 5G base station according to the planned area, the power business demand, the user scale and the user distribution, obtain the number of the 5G base stations according to the planned area and the site, and generate a preliminary plan;

[0010] S3, performing simulation evaluation on the pre-plan, generating evaluation results through the simulation model, judging whether the evaluation results meet the preset planning requirements, and if not, adjusting the pre-plan, and repeating the above simulation evaluation on the adjusted pre-plan;

[0011] S4. Generate and output a network planning solution based on the preliminary solution that meets the preset planning requirements according to the evaluation results.

[0012] Compared with the prior art, the beneficial effects of the 5G network planning method adapted for power business access of the present invention include: predicting the power business demand according to the power business planning area and the user scale and user distribution within the planning area, and then planning the site of the 5G base station according to the prediction result of the power business demand, so as to achieve the preliminary selection of the site of the 5G base station. At the same time, according to the site planning and the planning area of ​​the power business, the number of 5G base stations can be calculated, so as to generate a preliminary plan for 5G network planning in combination with the site of the 5G base station. Such a setting can ensure that the 5G network planning carried out according to the preliminary plan can initially meet the access needs of the power business and ensure the use of the power business network. Then, the simulation model can be used to simulate and evaluate the pre-plan, so that the 5G network planned by the pre-plan can be run through simulation to obtain the evaluation result of the pre-plan, and then the evaluation result can be compared with the preset planning requirements to quickly and accurately judge whether the pre-plan meets the needs. If not, it can be quickly adjusted, and then the pre-plan that meets the preset planning requirements can be obtained through the cycle of simulation, adjustment and re-simulation, and output as a network planning plan, which can not only further guarantee the use effect of the power business network arranged according to the network planning plan, but also the whole network planning process is simple and convenient, which can effectively improve the operational convenience of network planning adapted to power business access.

[0013] Optionally, the S1 specifically includes:

[0014] S11, obtaining the planned area range, and obtaining the number and type of power service terminals in the planned area according to the planned area range;

[0015] S12, obtaining the user scale and user distribution within the planned area according to the power service terminal;

[0016] S13. Predicting the power business volume demand through a power business model according to the scope of the planned area, the user scale, the user distribution, and the number and type of the power business terminals.

[0017] Optionally, the S2 specifically includes:

[0018] S21, planning the site according to the planned area, the power business demand, the user scale and the user distribution;

[0019] S22. Obtain a maximum allowable path loss in the coverage area of ​​the 5G base station, select a propagation model according to the site, and calculate a maximum coverage radius of the cell of the 5G base station by using the maximum allowable path loss and the propagation model;

[0020] S23. Obtain the maximum coverage area of ​​a single 5G base station according to the maximum coverage radius of the cell and the type of the site;

[0021] S24. Calculate the number of the 5G base stations according to the area of ​​the planned area and the maximum coverage area;

[0022] S25. Generate a preliminary plan based on the site and the number of 5G base stations.

[0023] Optionally, the S21 specifically includes:

[0024] S211, obtaining a preliminary layout of the site according to the planned area, the user scale and the user distribution;

[0025] S212, adjusting the preliminary layout according to reference factors of the planning area to obtain a secondary layout of the site, wherein the reference factors include at least one of geographical type and resource distribution;

[0026] S213, obtaining a scenario business model of the planning area according to the power business volume demand, and predicting a total business capacity demand according to the scenario business model and the user scale;

[0027] S214. Obtain the planned capacity according to the secondary layout of the site, and determine whether the planned capacity meets the total service capacity requirement. If so, plan the site according to the secondary layout; if not, adjust the secondary layout of the site and repeatedly obtain the planned capacity.

[0028] Optionally, the S22 specifically includes:

[0029] S221. Obtain the performance parameters of the 5G base station, and calculate the maximum allowable path loss of the coverage area of ​​the 5G base station according to the following formula:

[0030] P RX =P TX +G TX +L Path +G RX -L other -L shadow ,

[0031] Among them, the P RX is the receiver sensitivity, P TX is the transmission power, G TX is the transmitting antenna gain, L Path is the path loss, G RX is the receiving antenna gain, L other is other losses, L shadow for the shadows to fade;

[0032] S222, selecting the propagation model according to the type of the site;

[0033] S223. Calculate the maximum coverage radius of the cell of the 5G base station based on the maximum allowable path loss and the propagation model.

[0034] Optionally, the formula of the propagation model is:

[0035] L Path =32.44+20log(f)+20log(d),

[0036] Where f is the signal frequency and d is the distance between the base station and the mobile station.

[0037] Optionally, the formula of the propagation model is:

[0038] L Path =69.55+26.16log(f)-13.82log(h b )+(44.9-6.55log(h b ))log(d)

[0039] +c(h m )+k cell ,

[0040] Where f is the signal frequency, h b is the base station antenna height, h m is the height of the mobile station antenna, d is the distance between the base station and the mobile station, c(h m ) is the mobile station antenna height correction factor.

[0041] Optionally, the formula of the propagation model is:

[0042] L Path =46.3+33.9log(f)-13.82log(h b )-a(h m )+(44.9-6.55log(h b ))log

[0043] (d)+C m ,

[0044] Where f is the signal frequency, h b is the base station antenna height, h m is the height of the mobile station antenna, d is the distance between the base station and the mobile station, a(h m ) is the mobile station antenna height correction factor, C m is the city correction factor.

[0045] In a second aspect, the present invention further provides a 5G network planning platform adapted for power service access, including:

[0046] one or more processors;

[0047] A memory for storing one or more programs;

[0048] When the one or more programs are executed by the one or more processors, the one or more processors are caused to perform the following steps:

[0049] Acquire the planned area scope, user scale and user distribution, and predict the power business volume demand according to the planned area scope, user scale and user distribution;

[0050] Plan the site of the 5G base station according to the planned area, the power business demand, the user scale and the user distribution, obtain the number of the 5G base stations according to the planned area and the site, and generate a preliminary plan;

[0051] Performing simulation evaluation on the pre-plan, generating evaluation results through a simulation model, judging whether the evaluation results meet the preset planning requirements, and if not, adjusting the pre-plan, and repeating the simulation evaluation on the pre-plan;

[0052] According to the preliminary plan that meets the preset planning requirements according to the evaluation results, a network planning plan is generated and output.

[0053] Compared with the prior art, the beneficial effects of the 5G network planning platform adapted for power service access of the present invention are the same as the beneficial effects of the 5G network planning method adapted for power service access as described above, and will not be repeated here.

[0054] In a third aspect, the present invention further provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the 5G network planning method for adapting to power service access as described above is implemented.

[0055] Compared with the prior art, the beneficial effects of the storage medium of the present invention are the same as the beneficial effects of the 5G network planning method adapted for power service access as described above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0057] Figure 1 : A flowchart of a 5G network planning method adapted for power service access in an embodiment of the present invention;

[0058] Figure 2 : Figure 1 Sub-flow chart of S1 in the figure;

[0059] Figure 3 : Figure 1 Sub-flow chart of S2 in the figure;

[0060] Figure 4 : Figure 3 The sub-flow chart of S21 in the figure;

[0061] Figure 5 : Figure 3 Sub-flow chart of S22 in FIG. DETAILED DESCRIPTION

[0062] In order to better understand the present invention, the content of the present invention is further clearly set forth in conjunction with the embodiments below, but the protection content of the present invention is not limited to the following embodiments. In the following description, a large number of specific details are provided in order to provide a more thorough understanding of the present invention. However, it is obvious to those skilled in the art that the present invention can be implemented without one or more of these details.

[0063] The term "including" and its variations used in this document are open inclusions, that is, "including but not limited to"; the term "based on" means "based at least in part on"; the term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments"; the term "optionally" means "optional embodiments". The relevant definitions of other terms will be given in the following description. It should be noted that the concepts of "first", "second", etc. mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0064] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0065] In a first aspect, an embodiment of the present invention provides a 5G network planning method adapted for power service access, including: S1, obtaining the planning area scope, user scale and user distribution, and predicting the power service volume demand according to the planning area scope, user scale and user distribution; S2, planning the site of the 5G base station according to the planning area scope, power service volume demand, user scale and user distribution, obtaining the number of 5G base stations according to the planning area scope and the site, and generating a preliminary plan; S3, simulating and evaluating the preliminary plan, generating an evaluation result through a simulation model, judging whether the evaluation result meets the preset planning requirements, if not, adjusting the preliminary plan, and repeating the above simulation evaluation for the adjusted preliminary plan; S4, generating and outputting a network planning plan according to the preliminary plan whose evaluation result meets the preset planning requirements.

[0066] In this optional embodiment, if Figure 1 As shown, first, in order to ensure that the 5G network planning meets the access needs of the power business, the power business demand is predicted according to the power business planning area and the user scale and user distribution within the planning area, and then the site planning of the 5G base station is carried out according to the prediction results of the power business demand, so as to realize the preliminary selection of the site of the 5G base station. At the same time, according to the site planning and the planning area of ​​the power business, the number of 5G base stations can be calculated, so as to generate a preliminary plan for the 5G network planning in combination with the site of the 5G base station. This setting can ensure that the 5G network planning carried out according to the preliminary plan can initially meet the access needs of the power business and ensure the use effect of the power business network; then Then, the simulation model can be used to simulate and evaluate the pre-plan, so that the 5G network planned by the pre-plan can be run through simulation to obtain the evaluation result of the pre-plan, and then the evaluation result can be compared with the preset planning requirements to quickly and accurately judge whether the pre-plan meets the needs. If not, it can be quickly adjusted, and then the pre-plan that meets the preset planning requirements can be obtained through the cycle mode of simulation, adjustment and re-simulation, and output as the network planning plan, which can not only further guarantee the use effect of the power business network arranged according to the network planning plan, but also make the whole network planning process simple and convenient, which can effectively improve the operational convenience of network planning adapted to power business access.

[0067] Optionally, S1 specifically includes: S11, obtaining the scope of the planned area, and obtaining the number and types of power business terminals in the planned area based on the scope of the planned area; S12, obtaining the user scale and user distribution of the planned area based on the power business terminals; S13, predicting the power business volume demand through the power business model based on the planning area scope, user scale, user distribution and the number and type of power business terminals.

[0068] Specifically, the power business terminals include low-voltage electricity consumption information collection business terminals, distributed power supply business terminals, millisecond-level precise load control business terminals, video surveillance business terminals and intelligent distributed power distribution automation business terminals. The video surveillance business terminals are mobile. By way of example, there are 5 low-voltage electricity consumption information collection business terminals, 5 distributed power supply business terminals, 6 millisecond-level precise load control business terminals, 10 video surveillance business terminals and 18 intelligent distributed power distribution automation business terminals.

[0069] In this optional embodiment, if Figure 1 and Figure 2 As shown, in order to ensure the accuracy of the predicted power business volume demand, when predicting the power business volume demand, first, according to the planned area scope of the power business, the number and type of power business terminals in the planned area are obtained, so that the number of users in a certain area can be obtained according to the number and type of power business terminals, and then the user scale and user distribution in the entire planned area can be obtained; on this basis, the required power business volume demand is predicted according to the planned area scope, user scale, user distribution and the number and type of power business terminals, and the final prediction result of the power business volume demand can be obtained through the power business model.

[0070] Optionally, S2 specifically includes: S21, planning sites according to the planning area, power business demand, user scale and user distribution; S22, obtaining the maximum allowable path loss of the coverage area of ​​the 5G base station, selecting a propagation model according to the site, and calculating the maximum coverage radius of the cell of the 5G base station through the maximum allowable path loss and the propagation model; S23, obtaining the maximum coverage area of ​​a single 5G base station according to the maximum coverage radius of the cell and the type of site; S24, calculating the number of 5G base stations according to the area of ​​the planning area and the maximum coverage area; S25, generating a preliminary plan according to the site and the number of 5G base stations.

[0071] Specifically, the maximum allowable path loss refers to the maximum attenuation that a signal can withstand from the transmitter to the receiver in a wireless communication system, and is usually used to evaluate the coverage and performance of a wireless communication system. The propagation model is a mathematical model used to predict the transmission characteristics of radio waves in a specific environment. It can help estimate key parameters such as signal strength, coverage, and path loss. Common propagation models include free space models, empirical models (such as the Okumura-Hata model and the COST231-Hata model), and models based on ray tracing.

[0072] In this optional embodiment, in order to ensure the accuracy of the number of 5G base stations in the pre-plan, as Figure 1 and Figure 3As shown, first, the site planning is carried out according to the planning area scope, power business volume demand, user scale and user distribution to obtain the site of the 5G base station; on this basis, the maximum allowable path loss of the coverage area of ​​the 5G base station is first calculated, and the propagation model is selected according to the different site, so as to calculate the maximum coverage radius of the cell of the 5G base station through the maximum allowable path loss and the propagation model. In this way, the maximum coverage area of ​​a single 5G base station can be calculated by the maximum coverage radius of the cell of the 5G base station and the type of site, and the power business demand within the planning area needs to be met by the coverage of the 5G base station. In this way, the number of 5G base stations is calculated according to the area of ​​the planning area and the maximum coverage area of ​​a single 5G base station, so that the coverage area of ​​the 5G base station can meet the demand of the power business and ensure the accuracy of the number of 5G base stations in the pre-plan. Finally, the pre-plan is generated according to the site and the number of 5G base stations, so as to facilitate the subsequent generation of a network planning plan that meets the needs according to the pre-plan.

[0073] Optionally, S21 specifically includes: S211, obtaining a preliminary layout of sites according to the planning area scope, user scale and user distribution; S212, adjusting the preliminary layout according to reference factors of the planning area scope, and obtaining a secondary layout of sites, the reference factors including at least one of geographical type and resource distribution; S213, obtaining a scenario business model of the planning area according to the power business volume demand, and predicting the total business capacity demand according to the scenario business model and user scale; S214, obtaining the planned capacity according to the secondary layout of the sites, and determining whether the planned capacity meets the total business capacity demand. If so, plan the sites according to the secondary layout; if not, adjust the secondary layout of the sites and repeatedly obtain the planned capacity.

[0074] In this optional embodiment, in order to ensure accurate site planning, Figure 1 and Figure 4As shown, the site is first planned according to the planning area, user scale and user distribution to obtain a preliminary layout of the site. Then, the preliminary layout is adjusted. Since the 5G base stations at different sites within the planning area are affected differently by the geographical type and / or resource distribution, when adjusting the preliminary layout, at least one of the geographical type or resource distribution within the planning area is used as a reference factor to obtain a secondary layout of the site, thereby ensuring uniform signal coverage of the 5G base station at the site and high network service quality; on this basis, a scenario business model of the planning area is constructed according to the different scenario businesses of the power business demand in the planning area, and the total business capacity demand within the planning area can be predicted according to the scenario business model and the user scale. At this time, the planned capacity of the network planning at this time can be calculated according to the secondary layout, and the predicted total business capacity demand is compared with the planned capacity, and it is quickly and accurately determined whether the planned capacity of the secondary layout of the site meets the needs when the network is planned. If not, it can be quickly adjusted, and then the secondary layout of the site that meets the predicted total business capacity demand is obtained through a cyclic mode of comparison, adjustment and comparison, and is used as the final planned site, thereby ensuring accurate site planning.

[0075] Optionally, S22 specifically includes: S221, obtaining performance parameters of the 5G base station, and calculating the maximum allowable path loss of the coverage area of ​​the 5G base station according to the following formula: P RX =P TX +G TX +L Path +G RX -L other -L shadow , where P RX is the receiver sensitivity, P TX is the transmission power, G TX is the transmitting antenna gain, L Path is the path loss, G RX is the receiving antenna gain, L other is other losses, L shadow It is shadow fading; S222, select the propagation model according to the type of site; S223, calculate the maximum coverage radius of the cell of the 5G base station according to the maximum allowable path loss and the propagation model.

[0076] In this optional embodiment, in order to ensure the calculation accuracy of the maximum coverage radius of the cell of the 5G base station, as Figure 1 and Figure 5 As shown, according to the performance parameters of 5G base stations and P RX =P TX +G TX +L Path +G RX -L other -Lshadow Calculate the maximum allowable path loss of the coverage area of ​​the 5G base station, where P RX is the receiver sensitivity, P TX is the transmission power, G TX is the transmitting antenna gain, L Path is the path loss, G RX is the receiving antenna gain, L other is other losses, L shadow This setting ensures the calculation accuracy of the maximum allowable path loss, and thus ensures the calculation accuracy of the maximum coverage radius of the 5G base station cell.

[0077] Optionally, the formula of the propagation model is: L Path =32.44+20log(f)+20log(d), where f is the signal frequency and d is the distance between the base station and the mobile station.

[0078] In this optional embodiment, in order to further ensure the calculation accuracy of the maximum coverage radius of the cell of the 5G base station, the propagation model is selected as the free space propagation model. Under ideal conditions, it is assumed that the atmosphere on the ground is an isotropic medium, and the relative magnetic permeability and relative dielectric constant are approximately 1. The wireless signal is transmitted directly from the transmitter to the receiver without any obstacles in the middle. Without considering ground reflection and emission from the surface of other objects and other propagation methods to the signal receiving end, the propagation of radio waves can be considered to be propagation in free space, satisfying the basic free space propagation model. Free space propagation simply means that in the absence of external interference, radio waves are only propagated by direct radiation, and electromagnetic energy is attenuated only due to distance. In free space, it is assumed that the transmitting antenna is an ideal omnidirectional antenna, and the signal strength diffused in all directions in the form of spherical waves is the same. In this way, according to L Path =32.44+20log(f)+20log(d) and path loss L Path The distance d between the base station and the mobile station is obtained, and finally the maximum coverage radius of the cell of the 5G base station is derived from d, further ensuring the calculation accuracy of the maximum coverage radius of the cell of the 5G base station.

[0079] Optionally, the formula of the propagation model is: L Path =69.55+26.16log(f)-13.82log(h b )+(44.9-6.55log(h b ))log(d)+c(h m )+k cell , where f is the signal frequency, h b is the base station antenna height, h mis the height of the mobile station antenna, d is the distance between the base station and the mobile station, c(h m ) is the mobile station antenna height correction factor.

[0080] In this optional embodiment, it is assumed that all terrains are approximately quasi-smooth terrains, and both the receiving antenna and the transmitting antenna are omnidirectional antennas. Then, the urban area propagation loss model is used as a benchmark, and the terrain correction factor is added to obtain the corrected propagation model for other corresponding areas. The applicable conditions of this model are: the base station carrier frequency is 150-1500MHz; the signal propagation distance is 1-35km; the effective height of the base station antenna is 30-200 meters; the effective height of the mobile station antenna is 1-10 meters. At the same time, different mobile station antenna height correction factors c (h m ), so that according to L Path =69.55+26.16log(f)-13.82log(h b )+(44.9-6.55log(h b ))log(d)+c(h m )+k cell and path loss L Path The distance d between the base station and the mobile station is obtained, and finally the maximum coverage radius of the cell of the 5G base station is derived from d, further ensuring the calculation accuracy of the maximum coverage radius of the cell of the 5G base station.

[0081] Optionally, the formula of the propagation model is: L Path =46.3+33.9log(f)-13.82log(h b )-a(h m )+(44.9-6.55log(h b ))log(d)+C m , where f is the signal frequency, h b is the base station antenna height, h m is the height of the mobile station antenna, d is the distance between the base station and the mobile station, a(h m ) is the mobile station antenna height correction factor, C m is the city correction factor.

[0082] In this optional embodiment, the base station carrier frequency is 150-2000MHz; the signal propagation distance is 1-20km; the effective height of the base station antenna is 30-200 meters; the effective height of the mobile station antenna is 1-10 meters. At the same time, the formula for selecting the propagation model is: L Path =46.3+33.9log(f)-13.82log(h b )-a(h m )+(44.9-6.55log(h b))log(d)+C m The urban correction factor can be adjusted according to the location of the station. When it is in the center of a medium-sized city or suburb with moderate tree density, C m is 0dm, when it is in the center of a large city, C m is 3dm; on this basis, according to the path loss L Path The distance d between the base station and the mobile station is calculated, and finally the maximum coverage radius of the cell of the 5G base station is derived from d, further ensuring the calculation accuracy of the maximum coverage radius of the cell of the 5G base station.

[0083] In the second aspect, an embodiment of the present invention provides a 5G network planning platform adapted for power service access, including: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by one or more processors, the one or more processors execute the following steps: obtain the planning area scope, user scale and user distribution, and predict the power business volume demand according to the planning area scope, user scale and user distribution; plan the site of 5G base stations according to the planning area scope, power business volume demand, user scale and user distribution, obtain the number of 5G base stations according to the planning area scope and the site, and generate a preliminary plan; simulate and evaluate the preliminary plan, generate an evaluation result through a simulation model, and judge whether the evaluation result meets the preset planning requirements. If not, adjust the preliminary plan and repeat the simulation evaluation of the preliminary plan; generate and output a network planning plan according to the preliminary plan whose evaluation result meets the preset planning requirements.

[0084] The technical effect of the 5G network planning platform adapted for power service access in this embodiment is similar to the technical effect of the above-mentioned 5G network planning method adapted for power service access, and will not be repeated here.

[0085] In a third aspect, an embodiment of the present invention provides a storage medium having a computer program stored thereon. When the computer program is executed by a processor, the above-mentioned 5G network planning method for adapting to power service access is implemented.

[0086] The technical effect of the storage medium in this embodiment is similar to the technical effect of the above-mentioned 5G network planning method adapted for power service access, and will not be repeated here.

[0087] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A 5G network planning method adapted for power service access, characterized in that: include: S1. Obtaining a planned area scope, user scale and user distribution, and predicting power business volume demand according to the planned area scope, user scale and user distribution; S2. Plan the site of the 5G base station according to the planned area, the power business demand, the user scale and the user distribution, obtain the number of the 5G base stations according to the planned area and the site, and generate a preliminary plan; S3, performing simulation evaluation on the pre-plan, generating evaluation results through the simulation model, judging whether the evaluation results meet the preset planning requirements, and if not, adjusting the pre-plan, and repeating the above simulation evaluation on the adjusted pre-plan; S4. Generate and output a network planning solution based on the preliminary solution that meets the preset planning requirements according to the evaluation results.

2. The 5G network planning method for adapting to power service access according to claim 1, characterized in that: The S1 specifically includes: S11, obtaining the planned area range, and obtaining the number and type of power service terminals in the planned area according to the planned area range; S12, obtaining the user scale and user distribution within the planned area according to the power service terminal; S13. Predicting the power business volume demand through a power business model according to the scope of the planned area, the user scale, the user distribution, and the number and type of the power business terminals.

3. The 5G network planning method adapted for power service access according to claim 1, characterized in that: The S2 specifically includes: S21, planning the site according to the planned area, the power business demand, the user scale and the user distribution; S22. Obtain a maximum allowable path loss in the coverage area of ​​the 5G base station, select a propagation model according to the site, and calculate a maximum coverage radius of the cell of the 5G base station by using the maximum allowable path loss and the propagation model; S23. Obtain the maximum coverage area of ​​a single 5G base station according to the maximum coverage radius of the cell and the type of the site; S24. Calculate the number of the 5G base stations according to the area of ​​the planned area and the maximum coverage area; S25. Generate a preliminary plan based on the site and the number of 5G base stations.

4. The 5G network planning method for adapting to power service access as claimed in claim 3, characterized in that: The S21 specifically includes: S211, obtaining a preliminary layout of the site according to the planned area, the user scale and the user distribution; S212, adjusting the preliminary layout according to reference factors of the planning area to obtain a secondary layout of the site, wherein the reference factors include at least one of geographical type and resource distribution; S213, obtaining a scenario business model of the planning area according to the power business volume demand, and predicting a total business capacity demand according to the scenario business model and the user scale; S214. Obtain the planned capacity according to the secondary layout of the site, and determine whether the planned capacity meets the total service capacity requirement. If so, plan the site according to the secondary layout; if not, adjust the secondary layout of the site and repeatedly obtain the planned capacity.

5. The 5G network planning method for adapting to power service access as claimed in claim 3, characterized in that: The S22 specifically includes: S221. Obtain the performance parameters of the 5G base station, and calculate the maximum allowable path loss of the coverage area of ​​the 5G base station according to the following formula: P RX =P TX +G TX +L Path +G RX -L other -L shadow , Among them, the P RX is the receiver sensitivity, P TX is the transmission power, G TX is the transmitting antenna gain, L Path is the path loss, G RX is the receiving antenna gain, L other is other losses, L shadow for the shadows to fade; S222, selecting the propagation model according to the type of the site; S223. Calculate the maximum coverage radius of the cell of the 5G base station based on the maximum allowable path loss and the propagation model.

6. The 5G network planning method adapted for power service access according to claim 5, characterized in that: The formula of the propagation model is: L Path =32.44+20log(f)+20log(d), Where f is the signal frequency and d is the distance between the base station and the mobile station.

7. The 5G network planning method adapted for power service access according to claim 5, characterized in that: The formula of the propagation model is: L Path =69.55+26.16log(f)-13.82log(h b )+(44.9-6.55log(h b ))log(d)+c(h m )+k cell , Where f is the signal frequency, h b is the base station antenna height, h m is the height of the mobile station antenna, d is the distance between the base station and the mobile station, c(h m ) is the mobile station antenna height correction factor.

8. The 5G network planning method for adapting to power service access as claimed in claim 5, characterized in that: The formula of the propagation model is: L Path =46.3+33.9log(f)-13.82log(h b )-a(h m )+(44.9-6.55log(h b ))log(d)+C m , Where f is the signal frequency, h b is the base station antenna height, h m is the height of the mobile station antenna, d is the distance between the base station and the mobile station, a(h m ) is the mobile station antenna height correction factor, C m is the city correction factor.

9. A 5G network planning platform adapted for power service access, characterized in that: include: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors are caused to perform the following steps: Acquire the planned area scope, user scale and user distribution, and predict the power business volume demand according to the planned area scope, user scale and user distribution; Plan the site of the 5G base station according to the planned area, the power business demand, the user scale and the user distribution, obtain the number of the 5G base stations according to the planned area and the site, and generate a preliminary plan; Performing simulation evaluation on the pre-plan, generating evaluation results through a simulation model, judging whether the evaluation results meet the preset planning requirements, and if not, adjusting the pre-plan, and repeating the simulation evaluation on the pre-plan; According to the preliminary plan that the evaluation result meets the preset planning requirements, a network planning plan is generated and output.

10. A storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, a 5G network planning method for adapting to power service access as described in any one of claims 1 to 8 is implemented.

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