A method and device for constructing a shared base station for electric power facilities

Abstract

The present invention discloses a method and device for constructing a shared base station for electric power facilities. The method comprises: obtaining construction status information corresponding to each electric power facility in a preset area; constructing a shared base station site selection model according to the construction status information; optimizing the shared base station site selection model by using a preset optimization algorithm to obtain an optimal site for the shared base station; installing the shared base station on a target electric power facility corresponding to the optimal site for the shared base station to obtain a shared base station electric power facility, thereby more efficiently constructing the shared base station electric power facility and improving the construction resource utilization rate of the electric power facility.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power facility construction, and in particular to a method and device for constructing a shared base station for electric power facilities. Background Art

[0002] The fifth generation mobile communication technology (5G) is a new generation of broadband mobile communication technology with the characteristics of high speed, low latency and large connection. It is the network infrastructure for realizing the interconnection between man, machine and things.

[0003] With the continuous development of science and technology, 5G has become one of the core technologies of the new round of global scientific and technological revolution and industrial transformation, and is a strategic communication infrastructure for realizing national digitalization, intelligence, and "Internet of Everything". In order to meet the three major needs of 5G vertical industries, the ITU proposed the MT-2020 (i.e. 5G, also known as NR) vision, which established three scenarios of enhanced mobile bandwidth, ultra-high reliability and low latency communication, and large-scale machine-type communication. While achieving a new leap in mobile communication technology, it extends mobile communication capabilities from consumer level to industrial level, and promotes industrial transformation and upgrading.

[0004] However, due to the serious phenomenon of duplicate construction of traditional power facilities and the difficulty in comprehensive coverage of optical fiber communications, the maintenance time of power facilities is long and the maintenance cost is high, which easily leads to waste of power facility resources. Summary of the invention

[0005] The present invention provides a method and device for constructing a shared base station for electric power facilities, which solves the technical problems of long maintenance time, high maintenance cost and easy waste of electric power facility resources caused by repeated construction of traditional electric power facilities and difficulty in comprehensive communication coverage.

[0006] The present invention provides a method for constructing a power facility shared base station, comprising:

[0007] Obtain construction status information corresponding to each power facility in a preset area;

[0008] Constructing a shared base station site selection model according to the construction status information;

[0009] Optimizing the shared base station site selection model using a preset optimization algorithm to obtain the optimal site selection for the shared base station;

[0010] The shared base station is installed on the target power facility corresponding to the optimal address of the shared base station to obtain a shared base station power facility.

[0011] Optionally, the method further comprises:

[0012] Obtaining facility parameters of the shared base station power facility;

[0013] Constructing a finite element model according to the facility parameters using a preset finite element analysis software;

[0014] The finite element model is analyzed by the finite element analysis software to generate the load-bearing parameters of the shared base station power facilities.

[0015] Optionally, the method further comprises:

[0016] Calculating risk assessment parameters corresponding to the shared base station power facilities according to the load-bearing parameters;

[0017] Based on the comparison result between the risk assessment parameter and the preset threshold, it is determined whether there is any construction risk for the shared base station power facility.

[0018] Optionally, the construction status information includes the number of shared base stations, a total construction budget and coverage status information; and the step of constructing a shared base station site selection model according to the construction status information includes:

[0019] Constructing a shared base station site selection model according to the number of shared base stations, the total construction budget and the coverage status information;

[0020] The shared base station site selection model is:

[0021]

[0022]

[0023] Among them, y is the shared base station site selection, A is the total construction budget, Q i is the location information of the i-th shared base station, x i is the coverage status information corresponding to the i-th shared base station, n is the number of shared base stations, C i is the construction cost of the i-th shared base station, L ij is the coverage status information of the jth power facility covered by the i-th shared base station, k j is the jth power facility, and st is such that... satisfies...

[0024] Optionally, the step of optimizing the shared base station site selection model by using a preset optimization algorithm to obtain the optimal site selection for the shared base station includes:

[0025] The number of iterations to receive input;

[0026] Using a preset particle swarm optimization algorithm to optimize the shared base station site selection model, and calculating the optimal solution of the shared base station site selection model;

[0027] When the number of optimizations reaches the number of iterations, the optimal solution at the current moment is used as the optimal address of the shared base station.

[0028] The present invention also provides a power facility shared base station construction device, comprising:

[0029] A construction status information acquisition module is used to obtain the construction status information corresponding to each power facility in a preset area;

[0030] A site selection model building module, used to build a shared base station site selection model according to the construction status information;

[0031] An optimal location determination module is used to optimize the shared base station location selection model using a preset optimization algorithm to obtain the optimal location of the shared base station;

[0032] The base station loading module is used to load the shared base station on the target power facility corresponding to the optimal address of the shared base station to obtain the shared base station power facility.

[0033] Optionally, the device further comprises:

[0034] A facility parameter acquisition module, used to acquire facility parameters of the shared base station power facility;

[0035] A finite element model building module, used to build a finite element model according to the facility parameters by using a preset finite element analysis software;

[0036] The load-bearing parameter determination module is used to analyze the finite element model through the finite element analysis software to generate the load-bearing parameters of the shared base station power facilities.

[0037] Optionally, the device further comprises:

[0038] A risk assessment parameter calculation module, used to calculate the risk assessment parameters corresponding to the shared base station power facilities according to the load-bearing parameters;

[0039] The construction risk judgment module is used to judge whether there is a construction risk of the shared base station power facility based on the comparison result of the risk assessment parameter and the preset threshold.

[0040] Optionally, the construction status information includes the number of shared base stations, the total construction budget and coverage status information; and the site selection model building module includes:

[0041] A site selection module construction submodule, used to construct a shared base station site selection model according to the number of shared base stations, the total construction budget and the coverage status information;

[0042] The shared base station site selection model is:

[0043]

[0044]

[0045] Among them, y is the shared base station site selection, A is the total construction budget, Q i is the location information of the i-th shared base station, x i is the coverage status information corresponding to the i-th shared base station, n is the number of shared base stations, C i is the construction cost of the i-th shared base station, L ij is the coverage status information of the jth power facility covered by the i-th shared base station, k j is the jth power facility, and st is such that... satisfies...

[0046] Optionally, the optimal address determination module includes:

[0047] An iteration number receiving submodule is used to receive the input iteration number;

[0048] An optimal solution calculation submodule, used to optimize the shared base station site selection model using a preset particle swarm optimization algorithm to calculate the optimal solution of the shared base station site selection model;

[0049] The optimal address determination submodule is used to use the optimal solution at the current moment as the optimal address for the shared base station when the number of optimizations reaches the number of iterations.

[0050] It can be seen from the above technical solutions that the present invention has the following advantages:

[0051] The present invention obtains the construction status information corresponding to each power facility in a preset area, constructs a shared base station site selection model according to the construction status information, and then uses a preset particle swarm optimization algorithm to optimize and solve the shared base station site selection model to obtain the optimal site for the shared base station. Finally, the shared base station is loaded on the target power facility corresponding to the optimal site for the shared base station to obtain the shared base station power facility, thereby solving the technical problems of long maintenance time, high maintenance cost, and easy waste of power facility resources caused by repeated construction of traditional power facilities and difficulty in comprehensive communication coverage, and more efficiently constructs the shared base station power facilities and improves the construction resource utilization rate of the power facilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0053] Figure 1 A flowchart of a method for constructing a shared base station for electric power facilities provided in Embodiment 1 of the present invention;

[0054] Figure 2 A flowchart of a method for constructing a shared base station for electric power facilities provided in Embodiment 2 of the present invention;

[0055] Figure 3 A schematic diagram of the initial position of a shared base station provided in Embodiment 2 of the present invention;

[0056] Figure 4 A flowchart of the steps of a method for constructing a shared base station for electric power facilities provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0057] The embodiments of the present invention provide a method and device for constructing a shared base station for electric power facilities, which are used to solve the technical problems of long maintenance time, high maintenance cost, and easy waste of electric power facility resources caused by repeated construction of traditional electric power facilities and difficulty in comprehensive communication coverage.

[0058] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] See also Figure 1 , Figure 1 A flowchart of the steps of a method for constructing a shared base station for electric power facilities provided in Embodiment 1 of the present invention.

[0060] The present invention provides a method for constructing a power facility shared base station, comprising:

[0061] Step 101, obtaining construction status information corresponding to each power facility in a preset area;

[0062] Construction status information refers to the location distribution information, tower type, city power introduction specifications and total construction budget of each power facility in the preset area.

[0063] In the embodiment of the present invention, since it is necessary to construct a shared base station on the power facilities, in order to pursue the minimum resource consumption and the maximum signal coverage range, the construction status information corresponding to each power facility in the preset area can be obtained first.

[0064] Among them, the power facilities may be power poles and towers, which are supports for overhead power transmission lines. Pole towers are mostly made of steel or reinforced concrete and are the main supporting structures of overhead power transmission lines.

[0065] Step 102, constructing a shared base station site selection model according to the construction status information;

[0066] In the embodiment of the present invention, after the construction status information is acquired, in order to determine the location of the shared base station, the above-mentioned construction status information may be used to construct a shared base station location model.

[0067] Step 103, optimizing the shared base station site selection model using a preset optimization algorithm to obtain the optimal site selection for the shared base station;

[0068] After constructing the shared base station site selection model, the location, cost and other parameters of the shared base station's power facilities in the shared base station site selection model can be used as model parameters, and a preset optimization algorithm combined with a preset number of iterations can be used to optimize the shared base station site selection model to determine the optimal site selection for the shared base station.

[0069] Among them, the site of each shared base station must be a power facility that does not have a shared base station.

[0070] It is worth mentioning that the optimization algorithm can be the particle swarm optimization algorithm (PSO), which is derived from the study of bird flock predation behavior. Its basic core is to use the information sharing of individuals in the group to make the movement of the entire group evolve from disorder to order in the problem-solving space, thereby obtaining the optimal solution to the problem.

[0071] Step 104 , a shared base station is installed on a target power facility corresponding to the most preferred address of the shared base station to obtain a shared base station power facility.

[0072] After determining the optimal location of the shared base station, the shared base station may be loaded on the target power facility corresponding to the optimal location of the shared base station to obtain the shared base station power facility.

[0073] Among them, the shared base station is a 5G communication base station.

[0074] In an embodiment of the present invention, by obtaining construction status information corresponding to each power facility in a preset area, and constructing a shared base station site selection model based on the construction status information, and then using a preset particle swarm optimization algorithm to optimize and solve the shared base station site selection model to obtain the optimal site for the shared base station, and finally loading the shared base station on the target power facility corresponding to the optimal site for the shared base station to obtain the shared base station power facility, thereby solving the technical problems of long maintenance time, high maintenance cost, and easy waste of power facility resources caused by repeated construction of traditional power facilities and difficulty in comprehensive communication coverage, and more efficiently carrying out the construction of shared base station power facilities and improving the utilization rate of construction resources of power facilities.

[0075] See also Figure 2 , Figure 2 A flowchart of the steps of a method for constructing a shared base station for electric power facilities provided in Embodiment 2 of the present invention.

[0076] The present invention provides a method for constructing a power facility shared base station, comprising:

[0077] Step 201, obtaining construction status information corresponding to each power facility in a preset area;

[0078] Construction status information refers to the location distribution information, tower type, city power introduction specifications and total construction budget of each power facility in the preset area.

[0079] In the embodiment of the present invention, since it is necessary to construct a shared base station on the power facilities, in order to pursue the minimum resource consumption and the maximum signal coverage range, the construction status information corresponding to each power facility in the preset area can be obtained first.

[0080] Step 202, constructing a shared base station site selection model according to the construction status information;

[0081] Optionally, the construction status information includes the number of shared base stations, the total construction budget and coverage status information; step 202 may include the following sub-steps:

[0082] A shared base station site selection model is constructed based on the number of shared base stations, the total construction budget and coverage status information; the shared base station site selection model is:

[0083]

[0084]

[0085] Among them, y is the location of the shared base station, A is the total construction budget, Q i is the location information of the i-th shared base station, x i is the coverage status information corresponding to the i-th shared base station, n is the number of shared base stations, Ci is the construction cost of the i-th shared base station, L ij is the coverage status information of the jth power facility covered by the i-th shared base station, k j is the j-th power facility, st is the condition that satisfies..., the full name is subject to.

[0086] It is worth mentioning that when the i-th shared base station cannot cover any power facility, x i Take 0, when the i-th shared base station can cover at least one power facility, x i Take 1; when the i-th shared base station cannot cover the j-th power facility, L ij Take 0, when the i-th shared base station can cover the j-th power facility, L ij Take 1; represents the number of times power facility j is covered, if Then k j =0; if Then k j =1.

[0087] Step 203, receiving an input number of iterations;

[0088] Step 204, optimizing the shared base station site selection model using a preset particle swarm optimization algorithm to calculate the optimal solution of the shared base station site selection model;

[0089] Step 205, when the number of optimizations reaches the number of iterations, the optimal solution at the current moment is used as the optimal address of the shared base station;

[0090] The particle swarm optimization algorithm (PSO) originated from the study of bird flock predation behavior. Its basic core is to use the information sharing of individuals in the group to make the movement of the entire group evolve from disorder to order in the problem-solving space, thereby obtaining the optimal solution to the problem.

[0091] In the embodiment of the present invention, the user may input the number of iterations to start the process of updating the n shared base station location information Q. i The optimization process of shared base station site selection model:

[0092] See also Figure 3 As shown, the positions of each shared base station in the constructed shared base station site selection model are all random positions in the initial state.

[0093] The optimization process can be shown in the following steps S1-S5:

[0094] S1. Calculate the location information Q of each shared base station in the shared base station location model iThe maximum value Max y;

[0095] Among them, the shared base station site selection model is:

[0096]

[0097] S2, from each shared base station location information Q i Within the corresponding maximum value, determine the global optimal value;

[0098] S3. Update the location information Q of each shared base station i speed and position;

[0099] The speed update formula is:

[0100] V=ωV0+S1random(0,1)(P id -X0)+S2random(0,1)(P gd -X0)

[0101] The position update formula is:

[0102] X=X0+V

[0103] Where V is the speed of the updated shared base station location information, ω is the inertia factor, S1 is the individual learning factor of each shared base station location information, S2 is the social learning factor of each shared base station location information, random(0,1) represents a random number in the interval (0,1), P id represents the dth dimension of the individual extreme value of the ith variable, P gd represents the dth dimension of the global optimal solution.

[0104] S4. Recalculate the maximum value after updating the shared base station location information

[0105] S5. If the set number of iterations is reached, the optimal solution of the shared base station site selection model is output; otherwise, return to step S2.

[0106] Step 206, loading the shared base station on the target power facility corresponding to the most preferred address of the shared base station to obtain the shared base station power facility.

[0107] After determining the optimal location of the shared base station, the shared base station may be loaded on the target power facility corresponding to the optimal location of the shared base station to obtain the shared base station power facility.

[0108] Optionally, the method further comprises the following steps:

[0109] Obtaining facility parameters of shared base station power facilities;

[0110] Construct a finite element model based on facility parameters using preset finite element analysis software;

[0111] The finite element model is analyzed using finite element cloud analysis software to generate the load-bearing parameters of the shared base station power facilities.

[0112] In an embodiment of the present invention, a solid model can be created by acquiring facility parameters of a shared base station power facility, such as the elastic modulus and density of the power tower material, the accurate coordinates of the nodes, the real constants of angle steels of various specifications, and the connection information of the rods, and then the establishment of a finite element model is completed by performing attribute setting and meshing operations based on the solid model in combination with the actual shared base station power facility.

[0113] For example, in ANSYS software, the beam unit of the power tower can be set as the Beam188 unit in the Beam unit library. The power tower model will use Beam188 to simulate the tower body, the main material of the tower leg and the cross diaphragm, and other rods will be simulated using Link8 units. Among them, Beam188 is a three-dimensional linear beam unit. Beam188 units are suitable for analyzing slender, not very thick and short beam structures. This unit is based on the Timoshenko beam structure theory and takes into account the influence of shear deformation. Link8 units are rod units with a wide range of engineering applications, such as simulating truss cables, connecting rods, springs, etc. This three-dimensional rod unit is a tension and compression unit in the direction of the rod axis. Each node has three degrees of freedom: the translation along the X, Y, and Z directions of the node coordinate system is just like the performance in the hinged structure. The unit does not bear bending moment and has functions such as plasticity, creep, expansion, stress stiffening, large deformation, and large strain.

[0114] After obtaining the finite element model, the model can be analyzed using ANSYS software to obtain the load-bearing parameters of the shared base station power facilities, such as the maximum axial bearing capacity of the shared base station power facilities and the facility gravity.

[0115] It is worth mentioning that the finite element analysis software may be ANSYS software.

[0116] Furthermore, the method further comprises the following steps:

[0117] According to the load-bearing parameters, calculate the risk assessment parameters corresponding to the shared base station power facilities;

[0118] Based on the comparison results of the risk assessment parameters and the preset thresholds, it is determined whether there are construction risks in the shared base station power facilities.

[0119] In an example of the present invention, the risk assessment parameter corresponding to the shared base station power facility can be calculated according to the calculated load-bearing parameter, and the risk assessment parameter can be calculated by the following formula:

[0120]

[0121] Among them, f(a, b) is the risk assessment parameter, a is the maximum axial bearing capacity of the shared base station power facility, and b is the gravity of the facility.

[0122] After obtaining the risk assessment parameters, it is possible to determine whether there are construction risks in the shared base station power facilities based on the matching results between the risk assessment parameters and the preset assessment identifiers.

[0123] Among them, the preset assessment identifier is 0 or 1; if the risk assessment parameter is 0, it is determined that there is no construction risk for the shared base station power facilities; if the risk assessment parameter is 1, it is determined that there is a construction risk for the shared base station power facilities.

[0124] Optionally, when it is determined that there is a construction risk in the shared base station power facilities, the process may return to step 203 to reacquire the optimal address of the shared base station.

[0125] In an embodiment of the present invention, by obtaining construction status information corresponding to each power facility in a preset area, and constructing a shared base station site selection model based on the construction status information, and then using a preset particle swarm optimization algorithm to optimize and solve the shared base station site selection model to obtain the optimal site for the shared base station, and finally loading the shared base station on the target power facility corresponding to the optimal site for the shared base station to obtain the shared base station power facility, thereby solving the technical problems of long maintenance time, high maintenance cost, and easy waste of power facility resources caused by repeated construction of traditional power facilities and difficulty in comprehensive communication coverage, and more efficiently carrying out the construction of shared base station power facilities and improving the utilization rate of construction resources of power facilities.

[0126] See also Figure 4 , Figure 4 This is a structural block diagram of a power facility shared base station construction device provided in Embodiment 3 of the present invention.

[0127] An embodiment of the present invention provides a device for constructing a power facility shared base station, comprising:

[0128] The construction status information acquisition module 401 is used to acquire the construction status information corresponding to each power facility in a preset area;

[0129] A site selection model building module 402 is used to build a shared base station site selection model according to the construction status information;

[0130] The optimal location determination module 403 is used to optimize the shared base station location selection model using a preset optimization algorithm to obtain the optimal location of the shared base station;

[0131] The base station loading module 404 is used to load the shared base station on the target power facility corresponding to the most preferred address of the shared base station to obtain the shared base station power facility.

[0132] Optionally, the device further comprises:

[0133] A facility parameter acquisition module, used to acquire facility parameters of the shared base station power facilities;

[0134] A finite element model building module is used to build a finite element model according to facility parameters through preset finite element analysis software;

[0135] The load-bearing parameter determination module is used to analyze the finite element model through the finite cloud analysis software to generate the load-bearing parameters of the shared base station power facilities.

[0136] Optionally, the device further comprises:

[0137] A risk assessment parameter calculation module, used to calculate the risk assessment parameters corresponding to the shared base station power facilities according to the load-bearing parameters;

[0138] The construction risk judgment module is used to judge whether there is a construction risk in the shared base station power facilities based on the comparison results of the risk assessment parameters and the preset thresholds.

[0139] Optionally, the construction status information includes the number of shared base stations, the total construction budget and coverage status information; the site selection model construction module 402 includes:

[0140] The site selection module constructs a submodule for constructing a shared base station site selection model based on the number of shared base stations, the total construction budget, and coverage status information;

[0141] The shared base station site selection model is:

[0142]

[0143]

[0144] Among them, y is the location of the shared base station, A is the total construction budget, Q i is the location information of the i-th shared base station, x i is the coverage status information corresponding to the i-th shared base station, n is the number of shared base stations, C i is the construction cost of the i-th shared base station, L ij is the coverage status information of the jth power facility covered by the i-th shared base station, k j is the jth power facility, st is such that... satisfies...,.

[0145] Optionally, the optimal address determination module 403 includes:

[0146] An iteration number receiving submodule is used to receive the input iteration number;

[0147] The optimal solution calculation submodule is used to optimize the shared base station site selection model using a preset particle swarm optimization algorithm to calculate the optimal solution of the shared base station site selection model;

[0148] The optimal address determination submodule is used to use the optimal solution at the current moment as the optimal address for the shared base station when the number of optimizations reaches the number of iterations.

[0149] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices, modules and sub-modules can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0150] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0151] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0152] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0153] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for constructing a shared base station for electric power facilities, characterized in that: include: Obtain construction status information corresponding to each power facility in a preset area; Constructing a shared base station site selection model according to the construction status information; Optimizing the shared base station site selection model using a preset optimization algorithm to obtain the optimal site selection for the shared base station; Mounting the shared base station on the target power facility corresponding to the optimal address of the shared base station to obtain a shared base station power facility; The construction status information includes the number of shared base stations, the total construction budget and coverage status information; the step of constructing a shared base station site selection model according to the construction status information includes: Constructing a shared base station site selection model according to the number of shared base stations, the total construction budget and the coverage status information; The shared base station site selection model is: Among them, y is the shared base station site selection, A is the total construction budget, Q i is the location information of the i-th shared base station, x i is the coverage status information corresponding to the i-th shared base station, n is the number of shared base stations, C i is the construction cost of the i-th shared base station, L ij is the coverage status information of the jth power facility covered by the i-th shared base station, k j is the jth power facility, and st is such that... satisfies...

2. The method according to claim 1, characterized in that: The method further comprises: Obtaining facility parameters of the shared base station power facility; Constructing a finite element model according to the facility parameters using a preset finite element analysis software; The finite element model is analyzed by the finite element analysis software to generate the load-bearing parameters of the shared base station power facilities.

3. The method according to claim 2, characterized in that The method further comprises: Calculating risk assessment parameters corresponding to the shared base station power facilities according to the load-bearing parameters; According to the comparison result between the risk assessment parameter and the preset threshold value, it is determined whether there is any construction risk for the shared base station power facility.

4. The method according to any one of claims 1 to 3, characterized in that: The step of optimizing the shared base station site selection model by using a preset optimization algorithm to obtain the optimal site selection for the shared base station includes: The number of iterations to receive input; Using a preset particle swarm optimization algorithm to optimize the shared base station site selection model, and calculating the optimal solution of the shared base station site selection model; When the number of optimizations reaches the number of iterations, the optimal solution at the current moment is used as the optimal address of the shared base station.

5. A device for constructing a base station for sharing electric power facilities, characterized in that: include: A construction status information acquisition module is used to obtain the construction status information corresponding to each power facility in a preset area; A site selection model building module, used to build a shared base station site selection model according to the construction status information; An optimal location determination module is used to optimize the shared base station location selection model using a preset optimization algorithm to obtain the optimal location of the shared base station; A base station loading module, used to load the shared base station on the target power facility corresponding to the most preferred address of the shared base station to obtain the shared base station power facility; The construction status information includes the number of shared base stations, the total construction budget and coverage status information; The site selection model building module includes: A site selection module construction submodule, used to construct a shared base station site selection model according to the number of shared base stations, the total construction budget and the coverage status information; The shared base station site selection model is: Among them, y is the shared base station site selection, A is the total construction budget, Q i is the location information of the i-th shared base station, x i is the coverage status information corresponding to the i-th shared base station, n is the number of shared base stations, C i is the construction cost of the i-th shared base station, L ij is the coverage status information of the jth power facility covered by the i-th shared base station, k j is the jth power facility, and st is such that... satisfies...

6. The device according to claim 5, characterized in that The device also includes: A facility parameter acquisition module, used to acquire facility parameters of the shared base station power facility; A finite element model building module, used to build a finite element model according to the facility parameters by using a preset finite element analysis software; The load-bearing parameter determination module is used to analyze the finite element model through the finite element analysis software to generate the load-bearing parameters of the shared base station power facilities.

7. The device according to claim 6, characterized in that The device also includes: A risk assessment parameter calculation module, used to calculate the risk assessment parameters corresponding to the shared base station power facilities according to the load-bearing parameters; The construction risk judgment module is used to judge whether there is a construction risk of the shared base station power facility based on the comparison result of the risk assessment parameter and the preset threshold.

8. The device according to any one of claims 5 to 7, characterized in that: The optimal address determination module includes: An iteration number receiving submodule is used to receive the input iteration number; An optimal solution calculation submodule, used to optimize the shared base station site selection model using a preset particle swarm optimization algorithm to calculate the optimal solution of the shared base station site selection model; The optimal address determination submodule is used to use the optimal solution at the current moment as the optimal address for the shared base station when the number of optimizations reaches the number of iterations.

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