5G base station power status intelligent monitoring system

Abstract

The present invention discloses a 5G base station power status intelligent monitoring system, which relates to the technical field of power supply intelligent monitoring, and solves the technical problem that the prior art is difficult to perform multi-dimensional continuous monitoring of the overall working status of the power supply, resulting in the inability to ensure the reliability of the base station power supply; the present invention continuously collects the power supply characteristic data of the 5G base station power supply, and performs a single judgment based on the power supply input power, power supply output power and operating temperature data in the power supply characteristic data; the present invention performs a single judgment based on key data in the power supply characteristic data, and can quickly monitor the working status of the base station power supply; the present invention obtains a single judgment factor based on a single judgment result and a corresponding standard threshold calculation, generates a joint judgment sequence based on the base station characteristic data, and then obtains the corresponding joint judgment score; the present invention evaluates the base station power supply as a whole by mining the changing rules of each single judgment result, and can perform a more comprehensive monitoring of the working status of the base station power supply.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent power supply monitoring, and relates to an intelligent monitoring technology for the power supply status of a 5G base station, and specifically to an intelligent monitoring system for the power supply status of a 5G base station. Background Art

[0002] With the gradual popularization of 5G communication technology, the demand for 5G base stations is increasing. The richer networking architecture and layout of 5G technology bring more power supply combinations, and because the construction of 5G will need to be compatible with 3G and 4G communications for a long time, the communication power supply of the base station needs to power 3G / 4G and 5G communication equipment, which puts forward higher requirements on the output power, power density, reliability, etc. of the communication power supply.

[0003] At present, the main method of power supply monitoring is to monitor the power quality information and status information of the power supply in real time, and judge whether the power quality information and status information are abnormal according to the set standard value, and issue an early warning if abnormal. 5G base stations have higher requirements for power supply. It is difficult to monitor the overall working status of the power supply by simply identifying and monitoring the instantaneous status, and thus it is impossible to ensure the reliability of the base station power supply; therefore, a 5G base station power supply status intelligent monitoring system is urgently needed. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a 5G base station power supply status intelligent monitoring system, which is used to solve the technical problem that the prior art is difficult to perform multi-dimensional continuous monitoring of the overall working status of the power supply, resulting in the inability to guarantee the reliability of the base station power supply.

[0005] To achieve the above-mentioned object, the first aspect of the present invention provides a 5G base station power supply status intelligent monitoring system, including a central control module, and a data acquisition module and a status warning module connected thereto;

[0006] The central control module continuously collects the power characteristic data of the 5G base station power supply through the data acquisition module; wherein the power characteristic data includes power input power, power output power and operating temperature data; and

[0007] A single judgment is made by combining the power input power, power output power and operating temperature data in the power characteristic data; after the single judgments are all qualified, a joint judgment is made based on the results of each single judgment;

[0008] The central control module controls the status warning module to issue a warning based on the monitoring warning signal generated by a single judgment result or a comprehensive judgment result, and dispatches maintenance personnel to perform maintenance work on the base station power supply according to the warning information.

[0009] Preferably, the central control module communicates and / or is electrically connected to the data acquisition module and the status warning module respectively; wherein the status warning module communicates and / or is electrically connected to the intelligent terminal;

[0010] The data acquisition module communicates with and / or is electrically connected to a data acquisition device; wherein the data acquisition device includes a power sensor and a temperature sensor, and the temperature sensor is used to acquire temperature changes of the base station power supply.

[0011] Preferably, a single determination is made based on the power output power in the power characteristic data, including:

[0012] Extract the power output power from the power characteristic data and identify the communication compatibility data of the corresponding 5G base station; analyze whether the communication compatibility data is compatible with 3G or 4G communication technology and build the base station power range;

[0013] Calculate the power mean and power mean square error of the power output power corresponding to the base station power supply; when the power mean is within the base station power range and the power mean square error is less than the mean square error threshold, a single judgment is qualified.

[0014] Preferably, a single determination is made based on the power input power and the power output power in the power characteristic data, including:

[0015] Based on the power input power in the power characteristic data and the power output power at the corresponding moment, power efficiency data is calculated and obtained; and the power efficiency data is associated with the corresponding base station power load;

[0016] A power efficiency curve is constructed based on the base station power load and power efficiency data; it is compared with the high efficiency range in the standard efficiency curve, and a single judgment is made to be qualified when the difference in the high efficiency range meets the requirements.

[0017] Preferably, performing a single determination based on the operating temperature data in the power supply characteristic data includes:

[0018] Extracting operating temperature data from the power characteristic data and associating it with the corresponding base station power load; constructing an operating temperature curve based on the base station power load and the operating temperature data;

[0019] Identify the ratio of the temperature rise zone and the stable zone in the working temperature curve, and mark it as the temperature partition ratio; when the difference between the temperature partition ratio and the standard partition ratio meets the requirements, a single judgment is made that it is qualified.

[0020] Preferably, after the single determinations are all qualified, a joint determination is performed based on the single determination results, including:

[0021] A single determination factor is obtained based on a single determination result and a corresponding standard threshold value, and a joint determination sequence is generated in combination with base station feature data; wherein the base station feature data includes base station location and communication compatibility data;

[0022] The joint determination sequence is input into the joint determination model to obtain the corresponding joint determination score; the joint determination is completed based on the joint determination score; wherein the joint determination model is constructed based on the artificial intelligence model.

[0023] Preferably, the step of calculating and obtaining a single determination factor based on a single determination result and a corresponding standard threshold value includes:

[0024] Extract the single judgment result and the corresponding standard threshold, marked as DPJ and PJY respectively;

[0025] The single determination factor DPY is calculated by the formula DPY=|DPJ-PJY| / α; wherein α is the weight coefficient corresponding to the single determination result, which is determined according to the fluctuation proportion of the corresponding power characteristic data under the same battery abnormality.

[0026] Preferably, the joint determination model is constructed based on an artificial intelligence model, including:

[0027] Acquire experimental test data; wherein the experimental test data includes base station characteristic data and a single determination factor corresponding to the test power supply, and a corresponding joint determination score;

[0028] The base station feature data and a single determination factor are integrated into the model input data, the corresponding joint determination scores are integrated into the model output data, and the artificial intelligence model is trained to obtain the joint determination model; wherein the artificial intelligence model includes a BP neural network model or an RBF neural network model.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. The present invention continuously collects power characteristic data of the 5G base station power supply, makes a single judgment based on the power input power, power output power and operating temperature data in the power characteristic data, and issues an early warning based on the single judgment result; the present invention makes a single judgment based on key data in the power characteristic data, and can quickly monitor the working status of the base station power supply.

[0031] 2. After all single judgments are qualified, the present invention obtains a single judgment factor based on the single judgment result and the corresponding standard threshold value, generates a joint judgment sequence in combination with the base station feature data, and then obtains the corresponding joint judgment score; the present invention evaluates the base station power supply as a whole by mining the changing rules of each single judgment result, and can conduct a more comprehensive monitoring of the working status of the base station power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] 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 work.

[0033] Figure 1 It is a schematic diagram of the system principle of the present invention;

[0034] Figure 2 It is a schematic diagram of the working steps of the present invention. DETAILED DESCRIPTION

[0035] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0036] See also Figure 1-Figure 2 In a first aspect, an embodiment of the present invention provides a 5G base station power status intelligent monitoring system, including a central control module, and a data acquisition module and a status warning module connected thereto; the central control module continuously collects power characteristic data of the 5G base station power supply through the data acquisition module; and performs a single judgment based on the power input power, power output power and operating temperature data in the power characteristic data; after the single judgments are qualified, a joint judgment is performed based on the results of each single judgment; the central control module controls the status warning module to issue a warning based on the monitoring warning signal generated by the single judgment result or the comprehensive judgment result, and dispatches maintenance personnel to perform maintenance work on the base station power supply according to the warning information.

[0037] In the present invention, the central control module communicates and / or is electrically connected to the data acquisition module and the status warning module respectively; the status warning module communicates and / or is electrically connected to the intelligent terminal; the data acquisition module communicates and / or is electrically connected to the data acquisition device.

[0038] The central control module is mainly responsible for data processing. It can be configured for a single 5G base station, or it can be built through cloud technology to monitor the power status of multiple 5G base stations at the same time. The central control module needs to obtain the necessary raw data through the data acquisition module, and use the status warning module to warn maintenance personnel of the power status. The data acquisition module is connected to power sensors, temperature sensors, etc. The temperature sensor is used to collect the temperature changes of the base station power supply, and the power sensor is used to collect the input power and output power of the base station power supply. The data acquisition equipment's collection and monitoring is continuous, and the power characteristic data it obtains is also continuous.

[0039] The status warning module uses an intelligent terminal to issue an early warning, such as displaying the status information, early warning information and related status data of the base station power supply; the intelligent terminal includes a mobile phone, a computer or a display screen. It should be noted that the power characteristic data in the present invention includes data such as power input power, power output power and operating temperature data that can characterize the working status of the base station power supply.

[0040] In a preferred embodiment, a single judgment is made based on the power output power in the power characteristic data, including: extracting the power output power in the power characteristic data, and identifying the communication compatibility data of the corresponding 5G base station; analyzing whether the communication compatibility data is compatible with 3G or 4G communication technology, and constructing the base station power range; calculating the power mean and power mean square error of the power output power corresponding to the base station power supply; when the power mean is within the base station power range and the power mean square error is less than the mean square error threshold, the single judgment is qualified.

[0041] Since 5G communication needs to adopt technologies such as Massive MIMO, the output power of a single sector of the AAU of a 5G base station has increased from 40W-80W in 4G to 200W or even higher. At the same time, due to the substantial increase in the amount of data processed, the power of the BBU (baseband processing unit) (or split into CU and DU in certain 5G networking modes) has also increased significantly, and its power has exceeded 1000W. For the currently popular 5G base station networking mode: 3-sector AAU + 1 BBU, assuming that the AAU efficiency is 20%, the output power of the communication power supply for the 5G base station alone is approximately: P_out=(3×200) / 0.2+1000=4000W; while the output power of the communication power supply for the original 4G communication base station is 2000W-3000W, and the output power has been greatly improved.

[0042] Therefore, the 5G base station power supply needs to ensure a certain output power to meet the communication requirements of the 5G base station; and considering that the existing 5G base stations are more or less compatible with 4G and / or 3G communications, their output power requirements are higher. The present invention extracts the power output power from the power characteristic data, obtains the power mean and power mean square error used to characterize the power output power and its stability, and when both meet the requirements, it is determined that the single judgment corresponding to the power output power item is qualified.

[0043] It should be noted that the power mean square error is used to characterize stability, so the corresponding mean square error threshold needs to be set based on actual experience. The mean square error threshold and power mean will have relative changes under different 5G, 4G or 3G communications, so different mean square error thresholds and base station power ranges can be set according to different communication conditions. In other words, the single judgment of power output power can determine whether the base station power supply meets the power requirements under the corresponding communication conditions.

[0044] In a preferred embodiment, a single judgment is made based on the power input power and the power output power in the power characteristic data, including: calculating and obtaining power efficiency data based on the power input power in the power characteristic data and the power output power at the corresponding moment; associating the power efficiency data with the corresponding base station power load; constructing a power efficiency curve based on the base station power load and the power efficiency data; and comparing with the high efficiency range in the standard efficiency curve, and making a single judgment that it is qualified when the difference in the high efficiency range meets the requirements.

[0045] The power efficiency data in the present invention is the ratio of the power input power to the power output power. The data flow of 5G communication has become more unbalanced than that of 3G / 4G communication. The flow may be extremely large in some periods and small in other periods. This means that the actual load range of the communication power supply will be from light load to full load. For the 5G base station power supply, in order to ensure that the power consumption of the communication system reaches the minimum value under any load, the efficiency requirement is no longer to reach the maximum value under a certain load, but to require the efficiency to reach the maximum value over a wide range.

[0046] The present invention continuously acquires power input data and power output data through a data acquisition module, can continuously acquire power efficiency data, and simultaneously associates the power efficiency data with the base station power load at the corresponding moment, that is, each power efficiency data corresponds to a base station power load.

[0047] In this embodiment, a set of scatter plots can be constructed in a two-dimensional coordinate system with the base station power load as the independent variable and the power efficiency data as the dependent variable. According to experience, these scatter plots hide certain change rules, and the power efficiency curve can be obtained after fitting. According to experimental test data, the power efficiency data in the standard power efficiency curve will increase as the base station power load increases, but the difference is that the range of high power efficiency data in 5G base stations is much larger than that of 4G base stations or 3G base stations.

[0048] In this embodiment, the power efficiency curve is compared with the high efficiency range in the standard efficiency curve, and a single judgment is qualified when the difference in the high efficiency range meets the requirements. It should be noted that the difference between the high efficiency ranges actually refers to the gap between the ranges, and a certain deviation can be allowed, that is, a single judgment can be considered qualified within the deviation allowable range; for example, the load range corresponding to the high efficiency (≥70%) range in the standard efficiency curve is [0.4-0.9], and the load range corresponding to the high efficiency range in the power efficiency curve is [0.41-0.89], then it is considered that the difference between the two meets the requirements.

[0049] It is worth noting that the high efficiency range is strictly continuous. When analyzing the differences between high efficiency ranges, we can first determine whether the changing trends of the power efficiency curve and the standard efficiency curve are consistent.

[0050] In a preferred embodiment, a single judgment is made based on the operating temperature data in the power characteristic data, including: extracting the operating temperature data in the power characteristic data, and associating it with the corresponding base station power load; constructing an operating temperature curve based on the base station power load and the operating temperature data; identifying the ratio of the temperature rise zone and the stable zone in the operating temperature curve, and marking it as a temperature partition ratio; when the difference between the temperature partition ratio and the standard partition ratio meets the requirements, the single judgment is qualified.

[0051] 5G base stations meet IP65 and other protection levels, so they can be installed in outdoor and field environments. Because they are installed in a confined space, the power supply of this type of base station can only use natural heat dissipation (no forced air cooling or water cooling). At the same time, the output power of the communication power supply under the 5G standard is greater than that of the 3G / 4G communication standard, which brings greater challenges to the heat dissipation design of the communication power supply.

[0052] Obviously, the operating temperature of the base station power supply can, to a certain extent, reflect the current or predicted future state of the base station power supply. The temperature change of the base station power supply mainly changes with the base station power supply load. The greater the base station power supply load, the higher the corresponding operating temperature. Therefore, the operating temperature curve should be a curve that rises rapidly until it stabilizes, similar to a logarithmic function curve with a base greater than 1.

[0053] The ratio of the base station power load range in the temperature rise zone (area where temperature rises rapidly) and the stable zone (where temperature tends to be stable) in the working temperature curve is taken as the temperature partition ratio. It is also compared with the standard partition ratio in the standard temperature curve. If the difference between the two is small, a single judgment is made to be qualified.

[0054] After each single judgment, the abnormality of the base station power supply can be located according to the corresponding single judgment result and experience data, so as to notify the maintenance personnel to perform timely maintenance. It is worth noting that the above power efficiency data and operating temperature data should eliminate the influence of the working environment during or after the collection process, and make necessary corrections.

[0055] In a preferred embodiment, after all single judgments are qualified, a joint judgment is performed based on each single judgment result, including: obtaining a single judgment factor based on the single judgment result and the corresponding standard threshold calculation, generating a joint judgment sequence in combination with the base station feature data; inputting the joint judgment sequence into the joint judgment model to obtain the corresponding joint judgment score; and completing the joint judgment based on the joint judgment score.

[0056] Each single judgment result is suitable for monitoring key aspects of the base station power supply. The normality of each key aspect indicates that the current working status of the base station power supply is normal, while the joint judgment is based on experimental test data to determine whether there are potential abnormalities in the base station power supply. These potential abnormalities may not affect the current operation of the base station power supply, but will affect the future working status of the base station power supply. They can be discovered and handled in time through joint judgment.

[0057] The joint determination sequence includes base station feature data and a single determination factor. The base station feature data includes the base station location (which can be longitude and latitude) and communication compatibility data. The influence of base station feature data on the joint determination score is mined through an artificial intelligence model to ensure the objectivity and reliability of the joint determination score.

[0058] In an optional embodiment, a single determination factor is obtained based on a single determination result and a corresponding standard threshold value, including: extracting a single determination result and a corresponding standard threshold value, marked as DPJ and PJY respectively; calculating the single determination factor DPY by the formula DPY=|DPJ-PJY| / α.

[0059] The single determination factor is the weight difference between a single determination result (power mean, power mean square error, high efficiency range, and temperature partition ratio) and the corresponding standard threshold, and is the most important data basis for the joint determination score. α is the weight coefficient corresponding to the single determination result, which is determined according to the fluctuation ratio of the corresponding power feature data under the same battery abnormality. For example, if a certain base station power abnormality (obtained by analyzing historical monitoring data) causes the fluctuation ratios of power mean, power mean square error, high efficiency range, and temperature partition ratio to be 1:3:2:4, respectively, then the corresponding weight coefficients are 0.1, 0.3, 0.2, and 0.4. When certain abnormalities only cause fluctuations in one of the single determination results, the weight coefficients corresponding to other single determination results are directly set to the minimum limit (the range of the minimum limit can be set to (0, 0.1]).

[0060] In an optional embodiment, the joint determination model is constructed based on an artificial intelligence model, including: obtaining experimental test data; integrating base station feature data and a single determination factor into model input data, integrating the corresponding joint determination scores into model output data, and training the artificial intelligence model to obtain the joint determination model.

[0061] The experimental test data is obtained through experimental simulation test. The experimental test data includes the base station characteristic data and single determination factor corresponding to the test power supply, as well as the corresponding joint determination score; that is, the performance of different base station characteristic data under different base station power supply load conditions is simulated to obtain the corresponding single determination factor, and the base station power supply is scored according to its current working state and performance during long-term simulation to obtain the corresponding joint determination score.

[0062] Scoring the current working status of the base station power supply is to consider from an overall perspective to avoid abnormalities in the base station power supply that cannot be analyzed or discovered by a single determination factor; scoring the performance of the base station power supply during a long simulation process is to discover the impact of the integration of each single determination factor on the future working status. Of course, it is also possible to classify the power supplies of each base station according to the joint determination scores obtained, such as stable working status, abnormal working status, and unstable working status.

[0063] Some of the data in the above formula are calculated by removing the dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0064] Working principle of the present invention:

[0065] Continuously collect the power characteristic data of the 5G base station power supply; make a single judgment based on the power input power, power output power and operating temperature data in the power characteristic data.

[0066] After all the single judgments are qualified, a joint judgment is performed based on the results of each single judgment; an early warning is issued based on the monitoring early warning signal generated by the single judgment result or the comprehensive judgment result, and maintenance personnel are dispatched to perform maintenance work on the base station power supply based on the early warning information.

[0067] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

The 1.5G base station power supply status intelligent monitoring system includes a central control module, a data acquisition module and a status warning module connected thereto; the characteristics are: The central control module continuously collects the power characteristic data of the 5G base station power supply through the data acquisition module; wherein the power characteristic data includes power input power, power output power and operating temperature data; and A single judgment is made by combining the power input power, power output power and operating temperature data in the power characteristic data; after the single judgments are all qualified, a joint judgment is made based on the results of each single judgment; The central control module controls the status warning module to issue a warning based on the monitoring warning signal generated by a single judgment result or a comprehensive judgment result, and dispatches maintenance personnel to perform maintenance work on the base station power supply according to the warning information; A single determination is made based on the power output power in the power characteristic data, including: Extract the power output power from the power characteristic data and identify the communication compatibility data of the corresponding 5G base station; analyze whether the communication compatibility data is compatible with 3G or 4G communication technology and build the base station power range; Calculate the power mean and power mean square error of the power output power corresponding to the base station power supply; when the power mean is within the base station power range and the power mean square error is less than the mean square error threshold, a single judgment is qualified; A single determination is made based on the power input power and the power output power in the power characteristic data, including: Based on the power input power in the power characteristic data and the power output power at the corresponding moment, power efficiency data is calculated and obtained; and the power efficiency data is associated with the corresponding base station power load; Build a power efficiency curve based on the base station power load and power efficiency data; compare it with the high efficiency range in the standard efficiency curve, and make a single judgment that it is qualified when the difference in the high efficiency range meets the requirements; A single determination is made based on the operating temperature data in the power supply characteristic data, including: Extracting operating temperature data from the power characteristic data and associating it with the corresponding base station power load; constructing an operating temperature curve based on the base station power load and the operating temperature data; Identify the ratio of the temperature rise area and the stable area in the working temperature curve, and mark it as the temperature partition ratio; when the difference between the temperature partition ratio and the standard partition ratio meets the requirements, it is judged as qualified; After all the single determinations are qualified, a joint determination is performed based on the results of each single determination, including: A single determination factor is obtained based on a single determination result and a corresponding standard threshold value, and a joint determination sequence is generated in combination with base station feature data; wherein the base station feature data includes base station location and communication compatibility data; Inputting the joint determination sequence into the joint determination model to obtain the corresponding joint determination score; completing the joint determination based on the joint determination score; wherein the joint determination model is constructed based on the artificial intelligence model; The step of calculating and obtaining a single determination factor based on a single determination result and a corresponding standard threshold value includes: Extract the single judgment result and the corresponding standard threshold, marked as DPJ and PJY respectively; The single determination factor DPY is calculated by the formula DPY=|DPJ-PJY| / α; wherein α is the weight coefficient corresponding to the single determination result, which is determined according to the fluctuation proportion of the corresponding power characteristic data under the same battery abnormality.

2. The 5G base station power status intelligent monitoring system according to claim 1 is characterized in that: The central control module communicates and / or is electrically connected to the data acquisition module and the status warning module respectively; wherein the status warning module communicates and / or is electrically connected to the intelligent terminal; The data acquisition module communicates with and / or is electrically connected to a data acquisition device; wherein the data acquisition device includes a power sensor and a temperature sensor, and the temperature sensor is used to acquire temperature changes of the base station power supply.

3. The 5G base station power status intelligent monitoring system according to claim 1 is characterized in that: The joint determination model is constructed based on an artificial intelligence model and includes: Acquire experimental test data; wherein the experimental test data includes base station characteristic data and a single determination factor corresponding to the test power supply, and a corresponding joint determination score; The base station feature data and the single determination factor are integrated into the model input data, the corresponding joint determination scores are integrated into the model output data, and the artificial intelligence model is trained to obtain the joint determination model.

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