An intelligent management system for a communication network construction project

Abstract

The present application relates to the technical field of communication network planning and construction, and relates to a kind of communication network construction project intelligent management system.The present application obtains the current communication network characteristics of the building city area to be constructed, identifies signal abnormal area, combines the geographic boundary profile of communication network coverage blind area calibration weak area of communication network, and forms each site selection point combination, according to the network coverage range of each site selection point combination, filters and constructs candidate base station construction scheme set, obtains the signal coverage rate and signal interference coefficient of all candidate base stations in each candidate base station construction scheme, comprehensively evaluates the overall communication network performance of each candidate base station construction scheme, filters the optimal candidate base station construction scheme, ensures that the optimal scheme meets the construction demand, effectively improves the overall service level of communication network, based on the installation position of each candidate base station in the optimal candidate base station construction scheme, filters each position conflict candidate base station, and simultaneously carries out position correction, guarantees the communication experience of user.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication network planning and construction, and relates to an intelligent management system for a communication network construction project. BACKGROUND

[0002] As the core infrastructure of a communication network, the rationality of the planning and construction of a base station determines the overall service level of the communication network and is related to user communication experience and the speed of social informationization construction. However, the complex building environment and the increasing population density of urban areas make it difficult for the communication network to adapt to complex constraints such as building shielding and dynamic changes in traffic in high-density urban areas, and an intelligent management system is urgently needed to support the whole-process management and control of a communication network construction project.

[0003] The prior art, such as Chinese Patent Publication No. CN109886533A, discloses an analysis method and device for base station construction. The method determines whether a target area is a problem area according to MR grid data of the target area and a preset scene threshold. If so, the problem generating reason of the problem area is determined, and a corresponding solution is matched according to the problem generating reason, thereby realizing quantitative analysis of macro performance in network construction and planning.

[0004] Chinese Patent Publication No. CN111898787B discloses a base station planning method and device, a terminal device, and a storage medium. The method determines a base station planning sub-area in a target planning area based on a location determination rule of the base station planning sub-area, determines a target grid in the sub-area, selects a target location as a to-be-built base station location in the sub-area when the proportion of weak coverage grids is greater than a predetermined threshold, and optimizes the to-be-built base station in the target planning area to accurately obtain the to-be-built base station location.

[0005] Based on the above-mentioned comparative documents, the prior art has the following problems: (1) The prior art mainly analyzes macro performance and judges weak coverage through MR grid data, lacks joint dynamic collection of signal strength distribution and traffic load distribution, and cannot accurately identify implicit signal abnormal areas caused by traffic overload, resulting in mismatch between base station planning and actual demand and affecting network resource utilization efficiency.

[0006] (2) The prior art mainly uses two-dimensional plane grid analysis for base station site selection, and does not establish a three-dimensional building digital elevation model for ray tracing simulation, which makes it difficult to accurately evaluate signal propagation path loss and multipath interference caused by building shielding, resulting in calculation deviation of signal interference coefficient and reducing the accuracy of communication network performance evaluation.

[0007] (3) The prior art does not consider the restriction of the spatial distribution of urban underground pipelines on the installation position of the base station, lacks a position conflict detection and correction evaluation mechanism, and thus leads to the need for secondary relocation of the base station after construction due to position conflicts, increases the construction cost and construction period, and meanwhile, the signal interference is too large to affect the user communication experience. SUMMARY

[0008] The present application aims to overcome the defects of the prior art and provide a communication network construction project intelligent management system to realize scientific planning and efficient landing of the base station construction scheme, and to balance the communication quality, construction cost and construction feasibility.

[0009] The technical solution adopted by the present application to solve its technical problems is: a communication network construction project intelligent management system, comprising a network feature acquisition module, a weak area identification module, a candidate base station planning module, a base station scheme evaluation module and a base station position optimization module.

[0010] The connection relationship between the modules is that the network feature acquisition module is in communication connection with the weak area identification module, the candidate base station planning module is in communication connection with the weak area identification module and the base station scheme evaluation module, and the base station position optimization module is in communication connection with the base station scheme evaluation module.

[0011] The network feature acquisition module acquires the current communication network features of the to-be-constructed building city area, which includes signal strength distribution data and traffic load distribution data, and identifies signal abnormal areas.

[0012] The weak area identification module determines the communication network coverage blind area in combination with the network topology structure data of the to-be-constructed building city area, and comprehensively calibrates the geographical boundary contour of the weak area of the communication network.

[0013] The candidate base station planning module forms each site selection point combination based on the geographical boundary contour and the preset theoretical network coverage range of a single base station, and screens and constructs a candidate base station construction scheme set according to the network coverage range of each site selection point combination.

[0014] The base station scheme evaluation module acquires the signal coverage rate and signal interference coefficient of all candidate base stations in each candidate base station construction scheme, comprehensively evaluates the overall communication network performance of each candidate base station construction scheme, and screens the optimal candidate base station construction scheme.

[0015] The base station position optimization module screens each position conflict candidate base station based on the installation position of each candidate base station in the optimal candidate base station construction scheme, and performs position correction on each position conflict candidate base station.

[0016] Compared with the prior art, the present application has the following beneficial effects: (1) The present application realizes accurate positioning of the weak area of the communication network by acquiring the signal strength distribution data and the traffic load distribution data of the to-be-constructed building city, identifying the signal abnormal area, and combining the geographic boundary profile of the communication network coverage blind area to demarcate the geographic boundary profile of the weak area of the communication network, thereby improving the pertinence of the later base station planning, ensuring that the subsequent base station construction accurately covers the required area, and avoiding resource waste caused by blind site selection.

[0017] (2) The present application forms each site selection point combination based on the geographic boundary profile and the preset theoretical network coverage range of a single base station, screens and constructs a candidate base station construction scheme set according to the network coverage range of each site selection point combination, realizes the optimal allocation of base station resources, reasonably controls the number of base station constructions under the premise of ensuring the coverage quality, and provides a scientific planning scheme for the communication network construction project.

[0018] (3) The present application comprehensively evaluates the overall communication network performance of each candidate base station construction scheme by acquiring the signal coverage rate and the signal interference coefficient of all candidate base stations in each candidate base station construction scheme, screens the optimal candidate base station construction scheme, ensures that the optimal scheme can meet the construction requirements in terms of coverage range and signal quality, effectively improves the overall service level of the communication network, and guarantees the communication experience of users.

[0019] (4) The present application screens each position conflict candidate base station based on the installation positions of each candidate base station in the optimal candidate base station construction scheme, and performs position correction on each position conflict candidate base station, thereby prepositioning the construction safety constraint to the planning and design stage, avoiding repeated site selection, delayed construction period and safety accident risks due to neglecting the distribution of underground pipelines, and improving the implementation efficiency and feasibility of the base station construction project. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0021] Figure 1 It is a system module connection diagram of the present application.

[0022] Figure 2 It is a content step diagram of the candidate base station planning module in the present application.

[0023] Figure 3 It is a whole communication network performance evaluation step diagram in the present application.

[0024] Figure 4 It is a signal interference coefficient generation step diagram in the present application. Detailed Implementation

[0025] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the invention. Furthermore, it should be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale.

[0026] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use. Techniques, methods, and apparatus known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and apparatus should be considered part of the specification.

[0027] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0028] Please see Figure 1 As shown, the present invention provides an intelligent management system for communication network construction projects, including a network feature acquisition module, a weak area identification module, a candidate base station planning module, a base station scheme evaluation module, and a base station location optimization module.

[0029] The connections between the modules are as follows: the network feature acquisition module communicates with the weak area identification module; the candidate base station planning module communicates with both the weak area identification module and the base station scheme evaluation module; and the base station location optimization module communicates with the base station scheme evaluation module.

[0030] The network feature acquisition module obtains the current communication network features of the urban area to be constructed, including signal strength distribution data and traffic load distribution data, and identifies areas with abnormal signals.

[0031] Specifically, the current communication network feature acquisition method is as follows: the urban area to be constructed is divided into several grid areas according to the grid, the signal strength of all grid areas at different times is collected by distributed signal acquisition equipment, the average signal strength of all grid areas at different times is calculated by averaging the signal strength of all grid areas at different times, and this average signal strength is used as the signal strength distribution data.

[0032] Traffic load usage data for the urban area to be constructed in recent historical periods are extracted from the communication network operation platform. The peak traffic load usage of different grid areas in recent historical periods is then selected as traffic load distribution data.

[0033] In a specific example, the default setting of the recent history period is 30 days, for areas with large traffic fluctuations, such as large commercial areas and transportation hubs, the period can be shortened to 15 days to avoid the disconnection between historical data and current demand, and for areas with high traffic stability, such as residential areas and office parks, the period can be extended to 60 days to improve data representativeness. The implementer can adjust the traffic fluctuation characteristics of the city to be constructed according to the traffic fluctuation characteristics of the city to be constructed.

[0034] The extraction of traffic load usage data is obtained from the database of the communication network operation platform, and the specific steps are as follows: first, the daily traffic load peak value of each grid area in the recent history period is counted, and then the maximum value is extracted from all traffic load peak values in the recent history period as the traffic load usage peak value of each grid area, which ensures that the carrying capacity under extreme traffic scenarios can be covered.

[0035] Preferably, in the embodiment of the present application, the content of identifying the signal abnormal area is as follows: first, based on the communication service level demand of the to-be-constructed building city and the rated traffic load capacity of the existing base station, the signal strength threshold and the traffic load threshold are set.

[0036] Secondly, mark the grid area whose average signal strength is lower than the set signal strength threshold and the grid area whose traffic load usage peak value exceeds the set traffic load threshold, and regard them as abnormal grid areas.

[0037] Finally, all abnormal grid areas in the to-be-constructed building city are counted, adjacent abnormal grid areas are identified and merged to form a plurality of continuous signal abnormal areas.

[0038] It should be noted that the way of merging adjacent abnormal grid areas is as follows: if two abnormal grid areas share the same complete boundary or share the vertex, they are merged into a continuous signal abnormal grid area, and the signal abnormal grid area is merged with other abnormal grid areas to form a continuous signal abnormal area; for a single abnormal grid, it is excluded to exclude the interference of isolated accidental abnormality, so as to improve the overall efficiency and rationality of base station planning; at the same time, all signal abnormal areas are numbered to facilitate subsequent superposition and fusion with coverage blind area.

[0039] In a specific embodiment of the present application, the signal strength threshold is set according to the communication service level demand of the to-be-constructed city, for example, when the communication service level is 4G or 5G, the signal strength threshold is the minimum access signal strength standard of 4G or 5G network.

[0040] The setting of the traffic load threshold takes the rated traffic load capacity of the existing base station as the benchmark, and takes the product of the rated traffic load capacity and the redundancy coefficient such as 0.9 as the traffic load threshold. The implementer can adjust the redundancy coefficient, but needs to ensure that the traffic load threshold does not exceed the rated traffic load capacity to avoid long-term overload operation.

[0041] The weak area identification module determines the communication network coverage blind area combined with the network topology data of the to-be-constructed building city, and comprehensively calibrates the geographical boundary contour of the communication network weak area.

[0042] Specifically, the step of comprehensively calibrating the geographical boundary contour of the communication network weak area is: first, the network topology data of the to-be-constructed building city is called from the communication network operation platform, and the communication network coverage blind area is determined based on the deployment coordinates of each existing base station in the network topology data and the current grid coverage range.

[0043] It should be noted that the communication network coverage blind area is a continuous area without signal coverage. In the GIS system, after integrating the current grid coverage range of all existing base stations and removing the overlapping part, the remaining area not covered by any base station is the initial coverage blind area. The initial coverage blind area is screened, and only the continuous area with an area greater than the area of a single grid area is retained. Since the continuous area with an area less than the area of a single grid area has a small impact range, it is not optimized for the time being, and finally the communication network coverage blind area is formed.

[0044] The second step is to perform spatial superposition fusion on the communication network coverage blind area and a plurality of signal abnormal areas, and take the fused area as the communication network weak area.

[0045] It should be noted that the spatial superposition fusion is performed by spatial analysis in the GIS system. The specific steps are: first, the communication network coverage blind area and a plurality of signal abnormal areas are imported into the GIS system to generate independent vector layers; then, the fusion mode of intersection and union set is selected to form the fused composite area.

[0046] The third step is to extract the peripheral contour point coordinates of the communication network weak area based on the geographic information map, and use polygon fitting to calibrate the geographical boundary contour of the communication network weak area.

[0047] The present application identifies the signal abnormal area by obtaining the signal strength distribution data and the traffic load distribution data of the to-be-constructed building city, calibrates the geographical boundary contour of the communication network weak area combined with the communication network coverage blind area, realizes the precise positioning of the communication network weak area, improves the pertinence of the later base station planning, ensures the subsequent base station construction to accurately cover the demand area, and avoids the resource waste caused by blind site selection.

[0048] The candidate base station planning module is based on the geographical boundary contour and the theoretical network coverage range of a single base station to form each site combination, and screens and constructs the candidate base station construction scheme set according to the network coverage range of each site combination.

[0049] As Figure 2As shown, the contents of the candidate base station planning module are as follows: S1, based on the geographic boundary profile of the weak communication network area, obtaining the profile area, building density and area shape, screening the theoretical network coverage range of the corresponding single base station according to the building density, combining the profile area and the area shape, and calculating the estimated number of candidate base stations.

[0050] It should be noted that the screening of the theoretical network coverage range of the single base station is strongly related to the building density, wherein the higher the building density, the greater the signal propagation path loss, and the smaller the theoretical network coverage range. For example, if the building density is greater than 60%, the effective network coverage range of a single base station in a building city can be set to 150-200m, and in the present application, the theoretical network coverage range of a single base station is 200m. The implementer can also adjust the theoretical network coverage range.

[0051] The calculation of the estimated number of candidate base stations uses the area adaptation method, specifically: obtaining the ratio of the profile area to the theoretical network coverage range of a single base station, rounding up the ratio to obtain the estimated number of candidate base stations, thereby ensuring that the profile area can be completely covered.

[0052] S2, position screening in the weak communication network area according to the preset base station site selection constraint condition to determine the candidate site point set, and combining the estimated number of candidate base stations to form multiple site point combinations.

[0053] The preset base station selection constraint condition is: conforming to the nature of urban planning land, avoiding prohibited construction areas such as farmland and ecological protection areas; the site selection position is free of high-voltage lines or building obstructions; the site selection position is not in an electromagnetic radiation restricted area. The implementer can supplement the constraint conditions according to local regulations and project specific requirements.

[0054] S3, taking each site point in each site point combination as the center, generating the network coverage range of each site point combination according to the theoretical network coverage range of a single base station.

[0055] S4, screening the site point combination whose network coverage range completely covers the geographic boundary profile of the weak communication network area, taking it as a candidate base station construction scheme, and constructing a candidate base station construction scheme set.

[0056] The present application forms each site point combination based on the geographic boundary profile and the preset theoretical network coverage range of a single base station, screens and constructs a candidate base station construction scheme set according to the network coverage range of each site point combination, realizes the optimized allocation of base station resources, reasonably controls the number of base station construction under the premise of ensuring coverage quality, and provides a scientific planning scheme for communication network construction projects.

[0057] The base station scheme evaluation module obtains signal coverage and signal interference coefficients of all candidate base stations in each candidate base station construction scheme, comprehensively evaluates overall communication network performance of each candidate base station construction scheme, and screens an optimal candidate base station construction scheme.

[0058] Specifically, as shown in the figure, Figure 3 The overall communication network performance evaluation method of the candidate base station construction scheme is as follows: W1, according to building height distribution data of a communication network weak area, a three-dimensional building digital elevation model of the communication network weak area is established. The three-dimensional building digital elevation model is obtained by fusing the building height distribution data and geographic information map by using a GIS system, and a three-dimensional building digital elevation model containing terrain and building height information is generated.

[0059] W2, in combination with the construction height and the transmission power of all candidate base stations in each candidate base station construction scheme, simulation is performed in the established three-dimensional building digital elevation model by ray tracing.

[0060] W3, the receiving signal strength of all geographic grid points in the theoretical network coverage range of each candidate base station is obtained, the number of qualified geographic grid points with receiving signal strength higher than a set signal strength threshold is counted, and the ratio of the number to the total number of geographic grid points is taken as the signal coverage.

[0061] W4, based on the three-dimensional building digital elevation model, the propagation path loss component of the transmission signal blocked by the building of all candidate base stations in each candidate base station construction scheme is calculated, and the signal interference coefficient is comprehensively generated in combination with the time delay difference and the phase difference between the multipath ray signals.

[0062] In the embodiment of the application, as shown in the figure, Figure 4 The signal interference coefficient generation method is as follows: W41, the transmission signal vector between each candidate base station and all qualified geographic grid points in the corresponding theoretical grid coverage range is obtained, and it is judged whether the transmission signal vector intersects with the building.

[0063] W42, if the transmission signal vector intersects with the building, the propagation path loss component generated by the transmission signal vector penetrating the building is calculated.

[0064] It should be noted that the propagation path loss component is the sum of the basic loss and the penetration loss, wherein the basic loss is calculated by a free space propagation model, and the free space propagation model is as follows: .

[0065] Wherein is the basic loss, is the horizontal distance between the candidate base station and the qualified geographic grid point, For the frequency of the transmitted signal, both 32.45 and 20 in the formula are fixed values set in the existing free space propagation model, which will not be described herein.

[0066] The penetration loss is the product of the penetration loss rate of the building wall material and the thickness of the wall material, and the penetration loss rate of the wall material is obtained by actual measurement. In a specific example, the penetration loss rate of concrete is about 10-20 dB / m, and the penetration loss rate of glass is about 2-4 dB / m. If the transmitted signal vector penetrates through multiple building walls, the penetration losses of each layer of building wall are added up.

[0067] W43, the multipath ray signal tracking is performed on each candidate base station transmitted signal, the propagation time delay and phase of all unobstructed ray signals and all building penetrating ray signals are obtained, the time delay difference and phase difference between the unobstructed ray signals and the building penetrating ray signals are calculated, and a time delay difference distribution set and a phase difference distribution set are generated.

[0068] It should be noted that if the ray signal corresponding vector does not intersect with the building, the ray signal is taken as an unobstructed ray signal, otherwise, if the ray signal corresponding vector intersects with the building, the ray signal is taken as a building penetrating ray signal.

[0069] W44, the time delay difference distribution set and the phase difference distribution set are normalized, the multipath disturbance coefficient is calculated by using weighted mean value calculation, and the signal interference coefficient of each candidate base station is obtained by multiplying the propagation path loss component mean value of all qualified geographic grid points.

[0070] It should be noted that the normalization processing adopts a min-max normalization processing method, and the time delay difference and the phase difference are respectively mapped to the interval [0, 1], so as to ensure that the different orders of magnitude of the difference values are comparable.

[0071] In a preferred embodiment of the present application, for example, the disturbance weight corresponding to the time delay difference and the disturbance weight corresponding to the phase difference are both set to 0.5, which is suitable for general service scenarios in dense urban areas; for time-sensitive service scenarios such as VoIP voice and online games, the time delay disturbance factor weight can be adjusted to 0.6, and the influence of multipath time delay on service continuity is focused on; for phase-sensitive service scenarios such as multi-antenna transmission and high-precision positioning, the phase disturbance factor weight can be adjusted to 0.6, and the interference of phase jitter on signals is focused on. The implementer can also adjust according to the actual business type.

[0072] W45, the signal interference coefficients of each candidate base station in each candidate base station construction scheme are counted, and the maximum value thereof is taken as the signal interference coefficient of each candidate base station construction scheme.

[0073] W5, fusing the signal coverage and the signal interference coefficient of each candidate base station construction scheme, to calculate the overall communication network performance score of each candidate base station construction scheme.

[0074] The overall communication network performance score calculation adopts a linear weighting difference method, when the signal coverage is greater and the signal interference coefficient is smaller, the overall communication network performance score is higher; the weights of the signal coverage and the signal interference coefficient are determined based on the communication network construction priority of the to-be-constructed building city, for example, when the communication quality is preferentially guaranteed, the weight of the signal interference coefficient is higher than the weight of the signal coverage; when the construction cost is preferentially controlled, the weight of the signal coverage is higher than the weight of the signal interference coefficient. The implementer can adjust the weights by himself.

[0075] Preferably, the content of screening the optimal candidate base station construction scheme is as follows: the overall communication network performance scores of each candidate base station construction scheme are sorted in descending order, and the candidate base station construction scheme ranked first is taken as the optimal candidate base station construction scheme.

[0076] The present application comprehensively evaluates the overall communication network performance of each candidate base station construction scheme by obtaining the signal coverage and the signal interference coefficient of all candidate base stations in each candidate base station construction scheme, screens the optimal candidate base station construction scheme, ensures that the optimal scheme can meet the construction requirements in terms of coverage range and signal quality, effectively improves the overall service level of the communication network, and guarantees the communication experience of users.

[0077] The base station position optimization module screens each position conflict candidate base station based on the installation position of each candidate base station in the optimal candidate base station construction scheme, and performs position correction on each position conflict candidate base station.

[0078] In the specific embodiments of the present application, the screening method of each position conflict candidate base station is as follows: according to the spatial distribution map of urban underground pipelines, the closest horizontal distance between the installation position of each candidate base station in the optimal candidate base station construction scheme and all underground pipelines is obtained.

[0079] If the closest horizontal distance between the installation position of a certain candidate base station and the underground pipeline is less than the safety distance threshold value of the urban underground pipeline, the candidate base station is determined as a position conflict candidate base station.

[0080] The position correction step of each position conflict candidate base station is as follows: first, a horizontal search is performed in a preset radius range with the installation position of each position conflict candidate base station as the center to determine an available installation position greater than the safety distance threshold value of the urban underground pipeline.

[0081] It should be noted that the preset radius range is the shortest distance from the installation position of the position conflict candidate base station to the geographical boundary contour of the weak area of the communication network, so that the preset radius does not exceed the weak area.

[0082] Secondly, the signal interference coefficient of the available installation position corresponding to the position conflict candidate base station is calculated, and if the signal interference coefficient is less than the signal interference coefficient of the optimal candidate base station construction scheme, the available installation position is taken as the modified position of the position conflict candidate base station.

[0083] The signal interference coefficient of the available installation position corresponding to the position conflict candidate base station is calculated in the same way as the signal interference coefficient of each candidate base station construction scheme.

[0084] Finally, the modified positions of the position conflict candidate base stations are counted, and the position conflict candidate base stations are position-modified.

[0085] The present application is based on the installation positions of the candidate base stations in the optimal candidate base station construction scheme, screens the position conflict candidate base stations, and position-modifies the position conflict candidate base stations, so that the construction safety constraint is brought forward to the planning and design stage, the site selection is avoided from being repeated, the construction period is avoided from being delayed, and the safety accident risk is avoided from being caused by ignoring the underground pipeline distribution, and the implementation efficiency and feasibility of the base station construction project are improved.

[0086] The above embodiments can be realized by software, hardware, firmware or any combination thereof, in whole or in part. When realized by software, the above embodiments can be realized in the form of a computer program product in whole or in part.

[0087] Those skilled in the art can realize that the modules and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized by hardware or software depends on the specific application and design constraints of the technical solutions. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0088] In addition, the functional modules in each embodiment of the present application can be integrated in one processing module, or each module can exist physically alone, or two or more modules can be integrated in one module.

[0089] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any skilled person in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0090] Finally, the above only is the preferred embodiment of the present application, and is not used to limit the present application, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A communication network construction project intelligent management system, characterized in that, The method comprises the following steps: a network feature collection module acquires the current communication network features of the to-be-constructed building city, which include signal strength distribution data and traffic load distribution data, and identifies signal abnormal areas; a weak area identification module determines the communication network coverage blind area in combination with the network topology structure data of the to-be-constructed building city, and comprehensively calibrates the geographical boundary profile of the communication network weak area; a candidate base station planning module forms each site combination based on the geographical boundary profile and the preset theoretical network coverage range of a single base station, and screens a candidate base station construction scheme set according to the network coverage range of each site combination; a base station scheme evaluation module acquires the signal coverage rate and signal interference coefficient of all candidate base stations in each candidate base station construction scheme, comprehensively evaluates the overall communication network performance of each candidate base station construction scheme, and screens an optimal candidate base station construction scheme; a base station position optimization module screens position conflict candidate base stations based on the installation positions of the candidate base stations in the optimal candidate base station construction scheme, and performs position correction on the position conflict candidate base stations; the step of comprehensively calibrating the geographical boundary profile of the communication network weak area is that the network topology structure data of the to-be-constructed building city is called from a communication network operation platform, the deployment coordinates of each existing base station and the current grid coverage range in the network topology structure data are used to determine the communication network coverage blind area; the communication network coverage blind area and a plurality of signal abnormal areas are subjected to spatial superposition and fusion, and the fused area is taken as the communication network weak area; based on a geographic information map, the peripheral contour point coordinates of the communication network weak area are extracted, and the geographical boundary profile of the communication network weak area is calibrated by using polygon fitting; the overall communication network performance evaluation method of each candidate base station construction scheme is that a three-dimensional building digital elevation model of the communication network weak area is established according to the building height distribution data of the communication network weak area; the construction height and the transmission power of all candidate base stations in each candidate base station construction scheme in the candidate base station construction scheme set are combined, and ray tracing is performed in the established three-dimensional building digital elevation model for simulation; the received signal strength of all geographical grid points in the theoretical network coverage range of each candidate base station is acquired, the number of qualified geographical grid points with the received signal strength higher than a set signal strength threshold is counted, and the ratio of the number to the total number of geographical grid points is taken as the signal coverage rate; based on the three-dimensional building digital elevation model, the propagation path loss component of the transmission signal of each candidate base station in each candidate base station construction scheme is calculated, the time delay difference and the phase difference between the multipath ray signals are combined, and the signal interference coefficient is comprehensively generated; the signal coverage rate and the signal interference coefficient of each candidate base station construction scheme are fused, and the overall communication network performance score of each candidate base station construction scheme is calculated; the screening method of each position conflict candidate base station is that the installation positions of the candidate base stations in the optimal candidate base station construction scheme and the nearest horizontal distance from all underground pipelines are acquired according to the spatial distribution map of the urban underground pipelines. If the nearest horizontal distance between the installation position of a candidate base station and the underground pipeline is less than the safety distance threshold value of the urban underground pipeline, the candidate base station is determined as a position conflict candidate base station. 2.The intelligent management system for a communication network construction project according to claim 1, characterized in that: The current communication network feature acquisition manner is: The building city to be constructed is divided into a plurality of grid areas according to grid division, signal strengths of all grid areas in different time periods are collected by distributed signal collection equipment, average signal strengths of all grid areas in different time periods are calculated by mean calculation, and the average signal strengths are taken as signal strength distribution data. Traffic load usage data of the building city to be constructed in a recent historical period are extracted from a communication network operation platform, and traffic load usage peaks of different grid areas in the recent historical period are screened, which are taken as traffic load distribution data. 3.The intelligent management system for a communication network construction project according to claim 2, characterized in that: The content of identifying the signal abnormal area is as follows: Based on the communication service level requirement of the building city to be constructed and the rated traffic load capacity of the existing base station, a signal strength threshold value and a traffic load threshold value are set; Grid areas with average signal strengths lower than the set signal strength threshold value and grid areas with traffic load usage peaks exceeding the set traffic load threshold value are marked as abnormal grid areas; All abnormal grid areas in the building city to be constructed are counted, adjacent abnormal grid areas are identified and merged, and a plurality of continuous signal abnormal areas are formed.

4. The intelligent management system for communication network construction project according to claim 1, characterized in that: The content of the candidate base station planning module is as follows: Based on the geographical boundary contour of the communication network weak area, the contour area, the building density and the area shape are obtained, the theoretical network coverage range of a single base station is selected according to the building density, the contour area and the area shape are combined, and the estimated number of candidate base stations is calculated; The position of the communication network weak area is selected according to the preset base station site selection constraint condition, the candidate site point set is determined, and the candidate base station estimated number is combined to form a plurality of site point combinations; The network coverage range of each site point combination is generated according to the theoretical network coverage range of a single base station with each site point in each site point combination as the center; The site point combination whose network coverage range completely covers the geographical boundary contour of the communication network weak area is selected as the candidate base station construction scheme, and a candidate base station construction scheme set is constructed.

5. The intelligent management system for a communication network construction project according to claim 4, characterized in that: The signal interference coefficient generation manner is: The transmission signal vector between each candidate base station and all qualified geographical grid points in the corresponding theoretical grid coverage range is obtained, and it is judged whether the transmission signal vector intersects with a building; If the transmission signal vector intersects with the building, the propagation path loss component generated by the transmission signal vector penetrating the building is calculated; The propagation time delay and phase of all unobstructed ray signals and all ray signals penetrating the building are obtained by performing multipath ray signal tracking on the transmission signals of each candidate base station, the time delay difference and phase difference between the unobstructed ray signals and the ray signals penetrating the building are calculated, a time delay difference distribution set and a phase difference distribution set are generated; The time delay difference distribution set and the phase difference distribution set are normalized, a multipath disturbance coefficient is calculated by using weighted mean calculation, and the signal interference coefficient of each candidate base station is obtained by multiplying the mean value of the propagation path loss components of all qualified geographical grid points. The signal interference coefficients of the candidate base stations in each candidate base station construction scheme are counted, and the maximum value is taken as the signal interference coefficient of each candidate base station construction scheme. 6.The intelligent management system for a communication network construction project according to claim 4, characterized in that: The content of screening the optimal candidate base station construction scheme is as follows: The overall communication network performance scores of the candidate base station construction schemes are sorted in descending order, and the candidate base station construction scheme ranked first is taken as the optimal candidate base station construction scheme.

7. The intelligent management system for a communication network construction project according to claim 6, characterized in that: The position correction steps of the position conflict candidate base stations are as follows: A horizontal search is performed in a preset radius range centered on the installation position of each position conflict candidate base station to determine available installation positions greater than the safety distance threshold value of the urban underground pipeline. The signal interference coefficient of the position conflict candidate base station corresponding to the available installation position is calculated, and if the signal interference coefficient is less than the signal interference coefficient of the optimal candidate base station construction scheme, the available installation position is taken as the corrected position of the position conflict candidate base station. The corrected positions of the position conflict candidate base stations are counted, and the position conflict candidate base stations are position corrected.

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