Broadband 5G base station security management method, device, equipment and medium

Abstract

The invention relates to a broadband 5G base station safety management method and device, equipment and a medium, and belongs to the field of wireless communication safety. The method comprises the steps that a broadband 5G base station construction scheme is output based on an improved objective function method, and a broadband 5G base station is constructed; establishing a base station monitoring point and continuously acquiring base station monitoring data; establishing a base station evaluation model based on the base station monitoring data and outputting base station evaluation information; and feeding back a base station management instruction to the terminal according to the base station evaluation information and obtaining response time, thereby realizing construction of the broadband 5G base station based on multi-aspect consideration, enabling the construction cost of the base station to be lower, enabling the coverage range to be wider, enabling the user capacity to be higher, evaluating the broadband 5G base station through multiple indexes, being more scientific and comprehensive in evaluation, and improving the user experience. Therefore, the subsequent response efficiency is higher, and the response accuracy is improved.

Description

Technical Field

[0001] The present invention belongs to the field of wireless communication security technology, and specifically relates to a broadband 5G base station security management method, device, equipment and medium. Background Art

[0002] With the rapid development of technologies such as the Internet and cloud computing, the continuous improvement of information construction in various countries, and the construction and popularization of smart terminals, network society, and digital earth, global mobile communication technology has achieved great development, and 5G networks have begun to be widely used in my country's commercial field. At the same time, a large number of broadband 5G base stations are needed to provide a foundation for 5G promotion. The construction of broadband 5G base stations determines the quality of 5G network services. However, if all broadband 5G base stations are newly built, it will cost a lot of manpower and material resources, and the time consumption will also increase accordingly, which will hinder the promotion of 5G.

[0003] Security management after the construction of broadband 5G base stations is also faced with challenges. Adverse environments such as high humidity and high dust will affect the operation of broadband 5G base stations. How to quickly and effectively monitor the 5G signal strength emitted by broadband 5G base stations to see if it meets current needs is also a challenge. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, the present invention provides a wireless communication security method, device, equipment and medium.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A wireless communication security method, the implementation of which comprises the following steps:

[0007] S1: Output broadband 5G base station construction plan based on the improved objective function method and build broadband 5G base stations;

[0008] S2: Establishing base station monitoring points and continuously acquiring base station monitoring data, wherein the base station monitoring points include base station internal monitoring points and base station external monitoring points, and the base station monitoring data include base station internal humidity, base station internal particle concentration, and base station signal strength;

[0009] S3: Establishing a base station evaluation model based on the base station monitoring data and outputting base station evaluation information, wherein the base station evaluation model includes an in-station evaluation model and an out-station evaluation model, and the base station evaluation information includes in-station evaluation information and out-station evaluation information, wherein the in-station evaluation information includes high humidity and high pollution information, low humidity and high pollution information, high humidity and low pollution information, and low humidity and low pollution information, and the out-station evaluation information includes out-station signal strong information and out-station signal weak information;

[0010] S4: Feedback base station management instructions to the terminal according to the base station evaluation information and obtain response time, wherein the base station management instructions include a dehumidifier start-up instruction, a dust removal device start-up instruction, and a troubleshooting instruction.

[0011] Preferably, the step S1 specifically includes:

[0012] S101: Acquire broadband 5G candidate base stations, where the broadband 5G candidate base stations include broadband 5G base stations to be newly built and existing broadband 4G base stations, and the broadband 5G base stations to be newly built include broadband 5G macro base stations to be newly built and broadband 5G micro base stations to be newly built;

[0013] S102: Obtaining improved objective function components, where the improved objective function components include broadband 5G candidate base station investment cost, broadband 5G candidate base station signal coverage, and broadband 5G candidate base station user capacity;

[0014] S103: Obtain a broadband 5G base station objective function according to the improved objective function component, wherein the expression of the broadband 5G base station objective function is:

[0015]

[0016] s.tλ1+λ2+λ3=1andλ1≥0andλ2≥0andλ3≥0,

[0017] Among them, A is the broadband 5G base station objective function, λ1 is the broadband 5G candidate base station investment cost weight value, λ2 is the broadband 5G candidate base station signal coverage weight value, λ3 is the broadband 5G candidate base station user capacity weight value, A1 is the broadband 5G candidate base station investment cost, A2 is the broadband 5G candidate base station signal coverage, A3 is the broadband 5G candidate base station user capacity, A 1min is the minimum investment cost of broadband 5G candidate base stations, A 2max is the maximum signal coverage rate of broadband 5G candidate base stations, A 3max is the maximum user capacity of broadband 5G candidate base stations, and st is the constraint condition;

[0018] S104: Solve the minimum value of the broadband 5G base station objective function and obtain the optimal improved objective function component, the optimal improved objective function component is the improved objective function component corresponding to the minimum value, output the broadband 5G base station construction plan according to the optimal improved objective function component and build a broadband 5G base station.

[0019] Preferably, the step S102 specifically includes:

[0020] S102-1: Obtain the investment cost of the broadband 5G candidate base station, which includes the cost of a new broadband 5G macro base station, the cost of converting a broadband 4G base station into a broadband 5G base station, and the cost of a new broadband 5G micro base station. The calculation formula for the investment cost of the broadband 5G candidate base station is:

[0021]

[0022] Among them, A1 is the investment cost of broadband 5G candidate base stations, The cost of building new broadband 5G macro base stations. The cost of converting broadband 4G base stations to broadband 5G base stations is B is the cost of building a new broadband 5G micro base station. i is the cost of building the i-th broadband 5G macro base station to be built, X i is the probability of building the i-th broadband 5G macro base station, X i ∈{0,1},C j Cost of rebuilding the i-th broadband 4G base station, Y j is the reconstruction probability of the j-th broadband 4G base station, Y j ∈{0,1},D m The cost of building the mth broadband 5G micro base station to be built, Z m is the probability of building the mth broadband 5G micro base station, Z m ∈{0,1}, N is the number of new broadband 5G macro base stations to be built, n is the number of broadband 4G base stations, and M is the number of new broadband 5G micro base stations to be built;

[0023] S102-2: Preset the test point and the test point signal strength threshold, and calculate the probability that the test point is covered. The calculation formula is:

[0024]

[0025] Among them, gt is the coverage probability of the tth test point, P W is the transmission power of the broadband 5G candidate base station, P is the power consumed in the signal propagation process, l is the distance between the tth test point and the broadband 5G candidate base station, ε is the signal strength threshold of the test point, and H is the number of test points;

[0026] The signal coverage rate of the broadband 5G candidate base station is obtained according to the coverage probability of the test point. The expression of the signal coverage rate of the broadband 5G candidate base station is:

[0027]

[0028] Among them, A2 is the signal coverage rate of broadband 5G candidate base stations, gt is the coverage probability of the tth test point, and H is the number of test points;

[0029] S102-3: Obtain the user capacity of the broadband 5G candidate base station, the user capacity of the broadband 5G candidate base station includes the user capacity of the broadband 5G macro base station to be newly built, the user capacity of the broadband 5G micro base station to be newly built, and the user capacity of the broadband 4G base station. The expression of the user capacity of the broadband 5G candidate base station is:

[0030] A3=a1+a2+a3,

[0031]

[0032]

[0033] Among them, A3 is the user capacity of broadband 5G candidate base stations, a1 is the user capacity of broadband 5G macro base stations to be built, a2 is the user capacity of broadband 5G micro base stations to be built, a3 is the user capacity of broadband 4G base stations, and X i is the probability of building the i-th broadband 5G macro base station, X i ∈{0,1},Y j is the reconstruction probability of the j-th broadband 4G base station, Y j ∈{0,1},Z m is the probability of building the mth broadband 5G micro base station, Z m ∈{0,1}, N is the number of new broadband 5G macro base stations to be built, n is the number of broadband 4G base stations, M is the number of new broadband 5G micro base stations to be built, B s B is the bandwidth of the new broadband 5G macro base station. j The bandwidth of the new broadband 5G micro base station is g s is the antenna gain rate of the new broadband 5G macro base station, g j is the antenna gain rate of the new broadband 5G micro base station, P s is the transmission power of the new broadband 5G macro base station, P j is the transmission power of the newly built broadband 5G micro base station, I1 is the interference rate between the newly built broadband 5G macro base stations, I2 is the interference rate of the newly built broadband 5G micro base station to the newly built broadband 5G macro base station, I3 is the interference rate of the newly built broadband 5G macro base station to the newly built broadband 5G micro base station, I4 is the interference rate between the newly built broadband 5G micro base stations, r1 is the thermal noise power of the newly built broadband 5G macro base station, and r2 is the thermal noise power of the newly built broadband 5G micro base station.

[0034] Preferably, the step S2 specifically includes:

[0035] S201: monitoring the humidity in the base station and the concentration of particulate matter in the base station through a monitoring point inside the base station, wherein the monitoring point inside the base station is provided with a humidity sensor and a particulate matter detector;

[0036] S201-1: Obtain real-time atmospheric humidity and real-time atmospheric particulate matter concentration through the official website of the meteorological station where the broadband 5G base station is located;

[0037] S201-2: Preset an atmospheric humidity threshold and an atmospheric particulate matter concentration threshold, and when the real-time atmospheric humidity is greater than or equal to the atmospheric humidity threshold, obtain the humidity in the base station through the humidity sensor, and when the real-time atmospheric particulate matter concentration is greater than or equal to the atmospheric particulate matter concentration threshold, obtain the particulate matter concentration in the base station through the particulate matter detector;

[0038] S202: Obtain the median point of broadband 5G base station signal coverage, establish the base station external monitoring point at the median point of broadband 5G base station signal coverage and obtain the base station signal strength, the median point of broadband 5G base station signal coverage is the center point of the line connecting the farthest distance point that the broadband 5G base station signal can reach and the broadband 5G base station.

[0039] Preferably, the step S3 specifically includes:

[0040] S301: constructing the on-site evaluation model by calculating the on-site evaluation index and outputting the on-site evaluation information;

[0041] S302: Preset a base station signal strength threshold, build the off-site evaluation model by comparing the base station signal strength threshold with the base station signal strength, and output the off-site evaluation information;

[0042] Determine the base station signal strength, and when the base station signal strength is greater than or equal to the base station signal strength threshold, the off-site evaluation model outputs the off-site signal strength information;

[0043] When the base station signal strength is less than the base station signal strength threshold, the off-site evaluation model outputs the off-site signal weak information.

[0044] Preferably, the step S301 specifically includes:

[0045] S301-1: Preset a humidity threshold value and a particle concentration threshold value in the base station. The calculation formula of the evaluation index in the base station is:

[0046]

[0047] Among them, α is the evaluation index of the station, RH is the humidity in the base station, PM is the concentration of particulate matter in the base station, RH Y is the humidity threshold in the base station, PM Y is the particle concentration threshold in the base station;

[0048] S301-2: Determine the in-station evaluation index, and when the in-station evaluation index is 1, the in-station evaluation model outputs the high humidity and high pollution information;

[0049] When the in-station evaluation index is 0.7, the in-station evaluation model outputs the low humidity and high pollution information;

[0050] When the in-station evaluation index is 0.4, the in-station evaluation model outputs the high humidity and low pollution information;

[0051] When the in-station evaluation index is 0, the in-station evaluation model outputs the low humidity and low pollution information.

[0052] Preferably, the step S4 specifically includes:

[0053] S401: When the in-station evaluation model outputs the high humidity and high pollution information, feeding back the in-station dehumidifier start-up instruction and the in-station dust removal device start-up instruction;

[0054] When the in-station evaluation model outputs the low humidity and high pollution information, feeding back the in-station dust removal device start-up instruction;

[0055] When the in-station evaluation model outputs the high humidity and low pollution information, a dehumidifier start instruction is fed back to the in-station;

[0056] When the off-site evaluation model outputs the off-site signal weak information, feeding back the troubleshooting instruction;

[0057] S402: Acquire the response time, and acquire response speed information according to the response time, wherein the response speed information includes high response speed information and low response speed information, and the response time includes dehumidification response time, dust removal response time, and troubleshooting response time. The dehumidification response time is the time from the feedback of the in-station dehumidifier start instruction to the monitoring of the humidity in the base station being less than the humidity threshold in the base station, the dust removal response time is the time from the feedback of the in-station dust removal device start instruction to the monitoring of the particle concentration in the base station being less than the particle concentration threshold in the base station, and the troubleshooting response time is the time from the feedback of the troubleshooting instruction to the monitoring of the base station signal strength being greater than or equal to the base station signal strength threshold;

[0058] Preset a response time threshold, and obtain the response speed information by comparing the response time and the response time threshold;

[0059] Determining the response time, and when the response time is less than or equal to the response time threshold, outputting the high response speed information;

[0060] When the response time is greater than the response time threshold, the low response speed information is output to the terminal and the terminal issues an improvement instruction.

[0061] A wireless communication security device, used to execute the wireless communication security method described above, characterized in that it comprises a base station construction module, a data acquisition module, a base station evaluation module, and an instruction output module;

[0062] The base station construction module is used to output a broadband 5G base station construction plan based on the improved objective function method and build a broadband 5G base station;

[0063] The data acquisition module is used to set up base station monitoring points and continuously acquire base station monitoring data, the base station monitoring points include base station internal monitoring points and base station external monitoring points, and the base station monitoring data includes base station humidity, base station particle concentration, and base station signal strength;

[0064] The base station evaluation module is used to establish a base station evaluation model based on the base station monitoring data and output base station evaluation information, the base station evaluation model includes an in-station evaluation model and an out-station evaluation model, the base station evaluation information includes in-station evaluation information and out-station evaluation information, the in-station evaluation information includes high humidity and high pollution information, low humidity and high pollution information, high humidity and low pollution information, and low humidity and low pollution information, and the out-station evaluation information includes out-station signal strong information and out-station signal weak information;

[0065] The instruction output module is used to feed back base station management instructions to the terminal according to the base station evaluation information and obtain the response time, and the base station management instructions include station dehumidifier start-up instructions, station dust removal device start-up instructions, and troubleshooting instructions.

[0066] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the wireless communication security method described above when executing the program.

[0067] A storage medium containing computer executable instructions, wherein the computer executable instructions are used to execute the wireless communication security method described above when executed by a computer processor.

[0068] The beneficial effects of the present invention are:

[0069] (1) By improving the objective function method, the broadband 5G base station construction plan is output and the broadband 5G base station is built, making the construction of broadband 5G base stations more reasonable and the considerations before construction more comprehensive;

[0070] (2) Establish a base station evaluation model through base station monitoring data and output base station evaluation information, use multiple indicators to jointly evaluate the operation effect of broadband 5G base stations, reasonably eliminate the negative impact of adverse environments such as high humidity and high dust on the operation of broadband 5G base stations, and quickly and effectively monitor whether the 5G signal strength emitted by broadband 5G base stations meets current needs;

[0071] (3) When constructing broadband 5G base stations, consider building larger broadband 5G macro base stations in relatively open areas, and consider building smaller broadband 5G micro base stations in densely populated residential areas. At the same time, evaluate whether existing broadband 4G base stations can be converted into broadband 5G base stations, saving manpower, material resources and time costs, which is conducive to the promotion of 5G;

[0072] (4) The broadband 5G base station construction plan is comprehensively output by considering the investment cost of broadband 5G candidate base stations, the signal coverage rate of broadband 5G candidate base stations, and the user capacity of broadband 5G candidate base stations. This is more comprehensive and the indicators are easier to obtain, which is conducive to improving the efficiency of base station construction;

[0073] (5) Obtaining real-time atmospheric humidity and real-time atmospheric particulate matter concentration through the official website of the meteorological station where the broadband 5G base station is located. When both are higher than the threshold, the humidity and particulate matter concentration in the base station are collected. This can significantly reduce the workload and avoid measurement errors or failures that may be caused by the continuous operation of the humidity sensor and the particulate matter detector;

[0074] (6) By calculating the on-site evaluation index, an on-site evaluation model is constructed and the on-site evaluation information is output. The model construction is simple, the processing efficiency is improved, and the response time is reduced;

[0075] (7) The response speed information is obtained through the response time, and when the response is slow, feedback can be provided to the terminal in a timely manner and improvements can be made. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0077] Figure 1 The present invention is a flowchart of the steps of a wireless communication security method. DETAILED DESCRIPTION

[0078] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0079] The working principle and use process of the present invention:

[0080] See also Figure 1 , a broadband 5G base station security management method, comprising:

[0081] S1: Output broadband 5G base station construction plan based on the improved objective function method and build broadband 5G base stations;

[0082] S2: Establishing base station monitoring points and continuously acquiring base station monitoring data, wherein the base station monitoring points include base station internal monitoring points and base station external monitoring points, and the base station monitoring data include base station internal humidity, base station internal particle concentration, and base station signal strength;

[0083] S3: Establishing a base station evaluation model based on the base station monitoring data and outputting base station evaluation information, wherein the base station evaluation model includes an in-station evaluation model and an out-station evaluation model, and the base station evaluation information includes in-station evaluation information and out-station evaluation information, wherein the in-station evaluation information includes high humidity and high pollution information, low humidity and high pollution information, high humidity and low pollution information, and low humidity and low pollution information, and the out-station evaluation information includes out-station signal strong information and out-station signal weak information;

[0084] S4: Feedback base station management instructions to the terminal according to the base station evaluation information and obtain response time, wherein the base station management instructions include a dehumidifier start-up instruction, a dust removal device start-up instruction, and a troubleshooting instruction.

[0085] In this embodiment, based on the improved objective function method, a broadband 5G base station construction plan is output and a broadband 5G base station is constructed, which can be specifically implemented by the following steps:

[0086] S101: Obtain broadband 5G candidate base stations, wherein the broadband 5G candidate base stations include broadband 5G base stations to be newly built and existing broadband 4G base stations, wherein the broadband 5G base stations to be newly built include broadband 5G macro base stations to be newly built and broadband 5G micro base stations to be newly built. For relatively open areas, it is considered to build broadband 5G macro base stations with larger volumes, and for residential areas with dense houses and people, it is considered to build broadband 5G micro base stations with smaller volumes. At the same time, it is evaluated whether the existing broadband 4G base stations can be converted into broadband 5G base stations, so as to save manpower, material resources and time costs, and facilitate the promotion of 5G.

[0087] S102: Obtaining improved objective function components, wherein the improved objective function components include the investment cost of broadband 5G candidate base stations, the signal coverage rate of broadband 5G candidate base stations, and the user capacity of broadband 5G candidate base stations. The consideration is more comprehensive and the indicators are easier to obtain, which is conducive to improving the efficiency of base station construction.

[0088] S103: Obtain a broadband 5G base station objective function according to the improved objective function component, wherein the expression of the broadband 5G base station objective function is:

[0089]

[0090] s.tλ1+λ2+λ3=1andλ1≥0andλ2≥0andλ3≥0,

[0091] Among them, A is the broadband 5G base station objective function, λ1 is the broadband 5G candidate base station investment cost weight value, λ2 is the broadband 5G candidate base station signal coverage weight value, λ3 is the broadband 5G candidate base station user capacity weight value, A1 is the broadband 5G candidate base station investment cost, A2 is the broadband 5G candidate base station signal coverage, A3 is the broadband 5G candidate base station user capacity, A 1min is the minimum investment cost of broadband 5G candidate base stations, A 2max is the maximum signal coverage rate of broadband 5G candidate base stations, A 3max is the maximum user capacity of broadband 5G candidate base stations, and st is the constraint condition;

[0092] S104: Solve the minimum value of the broadband 5G base station objective function and obtain the optimal improved objective function component, the optimal improved objective function component is the improved objective function component corresponding to the minimum value, output the broadband 5G base station construction plan according to the optimal improved objective function component and build a broadband 5G base station.

[0093] In this embodiment, the improved objective function components are obtained, and the improved objective function components include the investment cost of the broadband 5G candidate base station, the signal coverage of the broadband 5G candidate base station, and the user capacity of the broadband 5G candidate base station. Specifically, it can be implemented by the following steps:

[0094] S102-1: Obtain the investment cost of the broadband 5G candidate base station, which includes the cost of a new broadband 5G macro base station, the cost of converting a broadband 4G base station into a broadband 5G base station, and the cost of a new broadband 5G micro base station. The calculation formula for the investment cost of the broadband 5G candidate base station is:

[0095]

[0096] Among them, A1 is the investment cost of broadband 5G candidate base stations, The cost of building new broadband 5G macro base stations. The cost of converting broadband 4G base stations to broadband 5G base stations is B is the cost of building a new broadband 5G micro base station. i is the cost of building the i-th broadband 5G macro base station to be built, X i is the probability of building the i-th broadband 5G macro base station, X i ∈{0,1},C j Cost of rebuilding the i-th broadband 4G base station, Y j is the reconstruction probability of the j-th broadband 4G base station, Y j ∈{0,1},Dm The cost of building the mth broadband 5G micro base station to be built, Z m is the probability of building the mth broadband 5G micro base station, Z m ∈{0,1}, N is the number of new broadband 5G macro base stations to be built, n is the number of broadband 4G base stations, and M is the number of new broadband 5G micro base stations to be built;

[0097] S102-2: Preset the test point and the test point signal strength threshold, and calculate the probability that the test point is covered. The calculation formula is:

[0098]

[0099] Among them, g t is the probability that the tth test point is covered, P W is the transmission power of the broadband 5G candidate base station, P is the power consumed in the signal propagation process, l is the distance between the tth test point and the broadband 5G candidate base station, ε is the signal strength threshold of the test point, and H is the number of test points;

[0100] The signal coverage rate of the broadband 5G candidate base station is obtained according to the coverage probability of the test point. The expression of the signal coverage rate of the broadband 5G candidate base station is:

[0101]

[0102] Among them, A2 is the signal coverage rate of broadband 5G candidate base stations, gt is the coverage probability of the tth test point, and H is the number of test points;

[0103] S102-3: Obtain the user capacity of the broadband 5G candidate base station, the user capacity of the broadband 5G candidate base station includes the user capacity of the broadband 5G macro base station to be newly built, the user capacity of the broadband 5G micro base station to be newly built, and the user capacity of the broadband 4G base station. The expression of the user capacity of the broadband 5G candidate base station is:

[0104] A3=a1+a2+a3,

[0105]

[0106] Among them, A3 is the user capacity of broadband 5G candidate base stations, a1 is the user capacity of broadband 5G macro base stations to be built, a2 is the user capacity of broadband 5G micro base stations to be built, a3 is the user capacity of broadband 4G base stations, and X i is the probability of building the i-th broadband 5G macro base station, X i ∈{0,1},Y j is the reconstruction probability of the j-th broadband 4G base station, Y j ∈{0,1},Z m is the probability of building the mth broadband 5G micro base station, Zm ∈{0,1}, N is the number of new broadband 5G macro base stations to be built, n is the number of broadband 4G base stations, M is the number of new broadband 5G micro base stations to be built, B s B is the bandwidth of the new broadband 5G macro base station. j The bandwidth of the new broadband 5G micro base station is g s is the antenna gain rate of the new broadband 5G macro base station, g j is the antenna gain rate of the new broadband 5G micro base station, P s is the transmission power of the new broadband 5G macro base station, P j is the transmission power of the newly built broadband 5G micro base station, I1 is the interference rate between the newly built broadband 5G macro base stations, I2 is the interference rate of the newly built broadband 5G micro base station to the newly built broadband 5G macro base station, I3 is the interference rate of the newly built broadband 5G macro base station to the newly built broadband 5G micro base station, I4 is the interference rate between the newly built broadband 5G micro base stations, r1 is the thermal noise power of the newly built broadband 5G macro base station, and r2 is the thermal noise power of the newly built broadband 5G micro base station.

[0107] In this embodiment, a base station monitoring point is set up and base station monitoring data is continuously acquired. The base station monitoring point includes a base station internal monitoring point and a base station external monitoring point. The base station monitoring data includes humidity inside the base station, particle concentration inside the base station, and base station signal strength. The specific implementation can be performed by the following steps:

[0108] S201: monitoring the humidity in the base station and the concentration of particulate matter in the base station through a monitoring point inside the base station, wherein the monitoring point inside the base station is provided with a humidity sensor and a particulate matter detector;

[0109] S201-1: Obtain real-time atmospheric humidity and real-time atmospheric particulate matter concentration through the official website of the meteorological station where the broadband 5G base station is located;

[0110] S201-2: Preset an atmospheric humidity threshold and an atmospheric particulate matter concentration threshold. When the real-time atmospheric humidity is greater than or equal to the atmospheric humidity threshold, obtain the humidity in the base station through the humidity sensor. When the real-time atmospheric particulate matter concentration is greater than or equal to the atmospheric particulate matter concentration threshold, obtain the particulate matter concentration in the base station through the particulate matter detector. When both are higher than the threshold, collect the humidity and particulate matter concentration in the base station, which can significantly reduce the workload and avoid measurement errors or failures that may be caused by the continuous operation of the humidity sensor and the particulate matter detector.

[0111] S202: Obtain the median point of broadband 5G base station signal coverage, establish the base station external monitoring point at the median point of broadband 5G base station signal coverage and obtain the base station signal strength, the median point of broadband 5G base station signal coverage is the center point of the line connecting the farthest distance point that the broadband 5G base station signal can reach and the broadband 5G base station.

[0112] In this embodiment, a base station evaluation model is established based on the base station monitoring data and base station evaluation information is output. Multiple indicators are used to jointly evaluate the operation effect of the broadband 5G base station, and the negative impact of adverse environments such as high humidity and high dust on the operation of the broadband 5G base station is reasonably eliminated. The 5G signal strength emitted by the broadband 5G base station is quickly and effectively monitored to see whether it meets the current demand. The base station evaluation model includes an in-station evaluation model and an out-station evaluation model. The base station evaluation information includes in-station evaluation information and out-station evaluation information. The in-station evaluation information includes high humidity and high pollution information, low humidity and high pollution information, high humidity and low pollution information, and low humidity and low pollution information. The out-station evaluation information includes out-station strong signal information and out-station weak signal information. It can be implemented by the following steps:

[0113] S301: constructing the in-site evaluation model by calculating the in-site evaluation index and outputting the in-site evaluation information, the model construction is simple, the processing efficiency is improved, and the response time is reduced;

[0114] S302: Preset a base station signal strength threshold, build the off-site evaluation model by comparing the base station signal strength threshold with the base station signal strength, and output the off-site evaluation information;

[0115] Determine the base station signal strength, and when the base station signal strength is greater than or equal to the base station signal strength threshold, the off-site evaluation model outputs the off-site signal strength information;

[0116] When the base station signal strength is less than the base station signal strength threshold, the off-site evaluation model outputs the off-site signal weak information.

[0117] In this embodiment, the on-site evaluation model is constructed by calculating the on-site evaluation index and the on-site evaluation information is output, which can be specifically implemented by the following steps:

[0118] S301-1: Preset a humidity threshold value and a particle concentration threshold value in the base station. The calculation formula of the evaluation index in the base station is:

[0119]

[0120] Among them, α is the evaluation index of the station, RH is the humidity in the base station, PM is the concentration of particulate matter in the base station, RH Y is the humidity threshold in the base station, PM Y is the particle concentration threshold in the base station;

[0121] S301-2: Determine the in-station evaluation index, and when the in-station evaluation index is 1, the in-station evaluation model outputs the high humidity and high pollution information;

[0122] When the in-station evaluation index is 0.7, the in-station evaluation model outputs the low humidity and high pollution information;

[0123] When the in-station evaluation index is 0.4, the in-station evaluation model outputs the high humidity and low pollution information;

[0124] When the in-station evaluation index is 0, the in-station evaluation model outputs the low humidity and low pollution information.

[0125] In this embodiment, based on the base station evaluation information, a base station management instruction is fed back to the terminal and a response time is obtained. The base station management instruction includes an in-station dehumidifier start instruction, an in-station dust removal device start instruction, and a troubleshooting instruction, which can be implemented by the following steps:

[0126] S401: When the in-station evaluation model outputs the high humidity and high pollution information, feeding back the in-station dehumidifier start-up instruction and the in-station dust removal device start-up instruction;

[0127] When the in-station evaluation model outputs the low humidity and high pollution information, feeding back the in-station dust removal device start-up instruction;

[0128] When the in-station evaluation model outputs the high humidity and low pollution information, a dehumidifier start instruction is fed back to the in-station;

[0129] When the off-site evaluation model outputs the off-site signal weak information, feeding back the troubleshooting instruction;

[0130] S402: Acquire the response time, and acquire response speed information according to the response time, wherein the response speed information includes high response speed information and low response speed information, and the response time includes dehumidification response time, dust removal response time, and troubleshooting response time. The dehumidification response time is the time from the feedback of the in-station dehumidifier start instruction to the monitoring of the humidity in the base station being less than the humidity threshold in the base station, the dust removal response time is the time from the feedback of the in-station dust removal device start instruction to the monitoring of the particle concentration in the base station being less than the particle concentration threshold in the base station, and the troubleshooting response time is the time from the feedback of the troubleshooting instruction to the monitoring of the base station signal strength being greater than or equal to the base station signal strength threshold;

[0131] Preset a response time threshold, and obtain the response speed information by comparing the response time and the response time threshold;

[0132] Determining the response time, and when the response time is less than or equal to the response time threshold, outputting the high response speed information;

[0133] When the response time is greater than the response time threshold, the low response speed information is output to the terminal and the terminal issues an improvement instruction.

[0134] A broadband 5G base station security management device, comprising a base station construction module, a data acquisition module, a base station evaluation module, and an instruction output module;

[0135] The base station construction module is used to output a broadband 5G base station construction plan based on the improved objective function method and build a broadband 5G base station;

[0136] The data acquisition module is used to set up base station monitoring points and continuously acquire base station monitoring data, the base station monitoring points include base station internal monitoring points and base station external monitoring points, and the base station monitoring data includes base station humidity, base station particle concentration, and base station signal strength;

[0137] The base station evaluation module is used to establish a base station evaluation model based on the base station monitoring data and output base station evaluation information, the base station evaluation model includes an in-station evaluation model and an out-station evaluation model, the base station evaluation information includes in-station evaluation information and out-station evaluation information, the in-station evaluation information includes high humidity and high pollution information, low humidity and high pollution information, high humidity and low pollution information, and low humidity and low pollution information, and the out-station evaluation information includes out-station signal strong information and out-station signal weak information;

[0138] The instruction output module is used to feed back base station management instructions to the terminal according to the base station evaluation information and obtain the response time, and the base station management instructions include station dehumidifier start-up instructions, station dust removal device start-up instructions, and troubleshooting instructions.

[0139] The computer storage medium of the embodiment of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device.

[0140] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0141] The program code included in the computer-readable medium can be transmitted with any appropriate medium, including but not limited to wireless, electric wire, optical cable, RF, etc., or any suitable combination of the above. The computer program code for performing the operation of the present invention can be written in one or more programming languages ​​or their combinations, and the programming language includes object-oriented programming languages-such as Java, Smalltalk, C++, and also includes conventional procedural programming languages-such as "C" language or similar programming languages. The program code can be executed completely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on the remote computer, or completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0142] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A broadband 5G base station security management method, characterized in that: The implementation of the broadband 5G base station security management method includes the following steps: S1: Output broadband 5G base station construction plan based on the improved objective function method and build broadband 5G base stations; S2: Establishing base station monitoring points and continuously acquiring base station monitoring data, wherein the base station monitoring points include base station internal monitoring points and base station external monitoring points, and the base station monitoring data include base station internal humidity, base station internal particle concentration, and base station signal strength; S3: Establishing a base station evaluation model based on the base station monitoring data and outputting base station evaluation information, wherein the base station evaluation model includes an in-station evaluation model and an out-station evaluation model, and the base station evaluation information includes in-station evaluation information and out-station evaluation information, wherein the in-station evaluation information includes high humidity and high pollution information, low humidity and high pollution information, high humidity and low pollution information, and low humidity and low pollution information, and the out-station evaluation information includes out-station signal strong information and out-station signal weak information; S4: Feedback base station management instructions to the terminal according to the base station evaluation information and obtain response time, wherein the base station management instructions include a dehumidifier start-up instruction, a dust removal device start-up instruction, and a troubleshooting instruction.

2. The broadband 5G base station security management method according to claim 1, characterized in that: The step S1 specifically includes: S101: Acquire broadband 5G candidate base stations, where the broadband 5G candidate base stations include broadband 5G base stations to be newly built and existing broadband 4G base stations, and the broadband 5G base stations to be newly built include broadband 5G macro base stations to be newly built and broadband 5G micro base stations to be newly built; S102: Obtaining improved objective function components, where the improved objective function components include broadband 5G candidate base station investment cost, broadband 5G candidate base station signal coverage, and broadband 5G candidate base station user capacity; S103: Obtain a broadband 5G base station objective function according to the improved objective function component, wherein the expression of the broadband 5G base station objective function is: t.tλ1+λ2+λ3=1 andλ1≥0 andλ2≥0 andλ3≥0, Among them, A is the broadband 5G base station objective function, λ1 is the broadband 5G candidate base station investment cost weight value, λ2 is the broadband 5G candidate base station signal coverage weight value, λ3 is the broadband 5G candidate base station user capacity weight value, A1 is the broadband 5G candidate base station investment cost, A2 is the broadband 5G candidate base station signal coverage, A3 is the broadband 5G candidate base station user capacity, A 1min is the minimum investment cost of broadband 5G candidate base stations, A 2max is the maximum signal coverage rate of broadband 5G candidate base stations, A 3max is the maximum user capacity of broadband 5G candidate base stations, and st is the constraint condition; S104: Solve the minimum value of the broadband 5G base station objective function and obtain the optimal improved objective function component, the optimal improved objective function component is the improved objective function component corresponding to the minimum value, output the broadband 5G base station construction plan according to the optimal improved objective function component and build a broadband 5G base station.

3. The broadband 5G base station security management method according to claim 2 is characterized in that: The step S102 specifically includes: S102-1: Obtain the investment cost of the broadband 5G candidate base station, which includes the cost of a new broadband 5G macro base station, the cost of converting a broadband 4G base station into a broadband 5G base station, and the cost of a new broadband 5G micro base station. The calculation formula for the investment cost of the broadband 5G candidate base station is: Among them, A1 is the investment cost of broadband 5G candidate base stations, The cost of building new broadband 5G macro base stations. The cost of converting broadband 4G base stations to broadband 5G base stations is B is the cost of building a new broadband 5G micro base station. i is the cost of building the i-th broadband 5G macro base station to be built, X i is the probability of building the i-th broadband 5G macro base station, X i ∈{0,1},C j Cost of rebuilding the i-th broadband 4G base station, Y j is the reconstruction probability of the j-th broadband 4G base station, Y j ∈{0,1},D m The cost of building the mth broadband 5G micro base station to be built, Z m is the probability of building the mth broadband 5G micro base station, Z m ∈{0,1}, N is the number of new broadband 5G macro base stations to be built, n is the number of broadband 4G base stations, and M is the number of new broadband 5G micro base stations to be built; S102-2: Preset the test point and the test point signal strength threshold, and calculate the probability that the test point is covered. The calculation formula is: Among them, g t is the probability that the tth test point is covered, P W is the transmit power of the broadband 5G candidate base station, P is the power consumed in the signal propagation process, l is the distance between the tth test point and the broadband 5G candidate base station, ε is the signal strength threshold of the test point, and H is the number of test points; The signal coverage rate of the broadband 5G candidate base station is obtained according to the coverage probability of the test point. The expression of the signal coverage rate of the broadband 5G candidate base station is: Among them, A2 is the signal coverage rate of broadband 5G candidate base stations, g t is the probability of the tth test point being covered, H is the number of test points; S102-3: Obtain the user capacity of the broadband 5G candidate base station, the user capacity of the broadband 5G candidate base station includes the user capacity of the broadband 5G macro base station to be newly built, the user capacity of the broadband 5G micro base station to be newly built, and the user capacity of the broadband 4G base station. The expression of the user capacity of the broadband 5G candidate base station is: A3=a1+a2+a3, Among them, A3 is the user capacity of broadband 5G candidate base stations, a1 is the user capacity of broadband 5G macro base stations to be built, a2 is the user capacity of broadband 5G micro base stations to be built, a3 is the user capacity of broadband 4G base stations, and X i is the probability of building the i-th broadband 5G macro base station, X i ∈{0,1},Y j is the reconstruction probability of the j-th broadband 4G base station, Y j ∈{0,1},Z m is the probability of building the mth broadband 5G micro base station, Z m ∈{0,1}, N is the number of new broadband 5G macro base stations to be built, n is the number of broadband 4G base stations, M is the number of new broadband 5G micro base stations to be built, B s B is the bandwidth of the new broadband 5G macro base station. j The bandwidth of the new broadband 5G micro base station is g s is the antenna gain rate of the new broadband 5G macro base station, g j is the antenna gain rate of the new broadband 5G micro base station, P s is the transmission power of the new broadband 5G macro base station, P j is the transmission power of the newly built broadband 5G micro base station, I1 is the interference rate between the newly built broadband 5G macro base stations, I2 is the interference rate of the newly built broadband 5G micro base station to the newly built broadband 5G macro base station, I3 is the interference rate of the newly built broadband 5G macro base station to the newly built broadband 5G micro base station, I4 is the interference rate between the newly built broadband 5G micro base stations, r1 is the thermal noise power of the newly built broadband 5G macro base station, and r2 is the thermal noise power of the newly built broadband 5G micro base station.

4. The broadband 5G base station security management method according to claim 1, characterized in that: The step S2 specifically includes: S201: monitoring the humidity in the base station and the concentration of particulate matter in the base station through a monitoring point inside the base station, wherein the monitoring point inside the base station is provided with a humidity sensor and a particulate matter detector; S201-1: Obtain real-time atmospheric humidity and real-time atmospheric particulate matter concentration through the official website of the meteorological station where the broadband 5G base station is located; S201-2: Preset an atmospheric humidity threshold and an atmospheric particulate matter concentration threshold, and when the real-time atmospheric humidity is greater than or equal to the atmospheric humidity threshold, obtain the humidity in the base station through the humidity sensor, and when the real-time atmospheric particulate matter concentration is greater than or equal to the atmospheric particulate matter concentration threshold, obtain the particulate matter concentration in the base station through the particulate matter detector; S202: Obtain the median point of broadband 5G base station signal coverage, establish the base station external monitoring point at the median point of broadband 5G base station signal coverage and obtain the base station signal strength, the median point of broadband 5G base station signal coverage is the center point of the line connecting the farthest distance point that the broadband 5G base station signal can reach and the broadband 5G base station.

5. The broadband 5G base station security management method according to claim 1, characterized in that: The step S3 specifically includes: S301: constructing the on-site evaluation model by calculating the on-site evaluation index and outputting the on-site evaluation information; S302: Preset a base station signal strength threshold, build the off-site evaluation model by comparing the base station signal strength threshold with the base station signal strength, and output the off-site evaluation information; Determine the base station signal strength, and when the base station signal strength is greater than or equal to the base station signal strength threshold, the off-site evaluation model outputs the off-site signal strength information; When the base station signal strength is less than the base station signal strength threshold, the off-site evaluation model outputs the off-site signal weak information.

6. The broadband 5G base station security management method according to claim 5, characterized in that: The step S301 specifically includes: S301-1: Preset a humidity threshold value and a particle concentration threshold value in the base station. The calculation formula of the evaluation index in the base station is: Among them, α is the evaluation index of the station, RH is the humidity in the base station, PM is the concentration of particulate matter in the base station, RH Y is the humidity threshold in the base station, PM Y is the particle concentration threshold in the base station; S301-2: Determine the in-station evaluation index, and when the in-station evaluation index is 1, the in-station evaluation model outputs the high humidity and high pollution information; When the in-station evaluation index is 0.7, the in-station evaluation model outputs the low humidity and high pollution information; When the in-station evaluation index is 0.4, the in-station evaluation model outputs the high humidity and low pollution information; When the in-station evaluation index is 0, the in-station evaluation model outputs the low humidity and low pollution information.

7. The broadband 5G base station security management method according to claim 1, characterized in that: The step S4 specifically includes: S401: When the in-station evaluation model outputs the high humidity and high pollution information, feeding back the in-station dehumidifier start-up instruction and the in-station dust removal device start-up instruction; When the in-station evaluation model outputs the low humidity and high pollution information, feeding back the in-station dust removal device start-up instruction; When the in-station evaluation model outputs the high humidity and low pollution information, a dehumidifier start instruction is fed back to the in-station; When the off-site evaluation model outputs the off-site signal weak information, feeding back the troubleshooting instruction; S402: Acquire the response time, and acquire response speed information according to the response time, wherein the response speed information includes high response speed information and low response speed information, and the response time includes dehumidification response time, dust removal response time, and troubleshooting response time. The dehumidification response time is the time from the feedback of the in-station dehumidifier start instruction to the monitoring of the humidity in the base station being less than the humidity threshold in the base station, the dust removal response time is the time from the feedback of the in-station dust removal device start instruction to the monitoring of the particle concentration in the base station being less than the particle concentration threshold in the base station, and the troubleshooting response time is the time from the feedback of the troubleshooting instruction to the monitoring of the base station signal strength being greater than or equal to the base station signal strength threshold; Preset a response time threshold, and obtain the response speed information by comparing the response time and the response time threshold; Determining the response time, and when the response time is less than or equal to the response time threshold, outputting the high response speed information; When the response time is greater than the response time threshold, the low response speed information is output to the terminal and the terminal issues an improvement instruction.

8. A broadband 5G base station security management device applied to the broadband 5G base station security management method according to claim 1, characterized in that: It includes base station construction module, data acquisition module, base station evaluation module and command output module; The base station construction module is used to output a broadband 5G base station construction plan based on the improved objective function method and build a broadband 5G base station; The data acquisition module is used to set up base station monitoring points and continuously acquire base station monitoring data, the base station monitoring points include base station internal monitoring points and base station external monitoring points, and the base station monitoring data includes base station humidity, base station particle concentration, and base station signal strength; The base station evaluation module is used to establish a base station evaluation model based on the base station monitoring data and output base station evaluation information, the base station evaluation model includes an in-station evaluation model and an out-station evaluation model, the base station evaluation information includes in-station evaluation information and out-station evaluation information, the in-station evaluation information includes high humidity and high pollution information, low humidity and high pollution information, high humidity and low pollution information, and low humidity and low pollution information, and the out-station evaluation information includes out-station signal strong information and out-station signal weak information; The instruction output module is used to feed back base station management instructions to the terminal according to the base station evaluation information and obtain the response time, and the base station management instructions include station dehumidifier start-up instructions, station dust removal device start-up instructions, and troubleshooting instructions.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, it implements the broadband 5G base station security management method as described in any one of claims 1-7.

10. A storage medium containing computer executable instructions, characterized in that: The computer executable instructions, when executed by a computer processor, are used to execute the broadband 5G base station security management method as described in any one of claims 1-7.

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