Dynamic environment monitoring system and method applied to outdoor communication base station

Abstract

The invention relates to the technical field of communication base station monitoring, and discloses a power environment monitoring system and method applied to an outdoor communication base station, and the system comprises a data collection module, a data processing module, and a monitoring control module. Data such as a power state and battery parameters are fully covered, and a detailed basis is provided for monitoring; denoising is carried out through a moving average filtering algorithm, a scientific analysis method is combined, the conditions of power supply switching, battery capacity attenuation, equipment energy consumption and the like are accurately analyzed, and data quality and analysis reliability are ensured. During storage, archiving is carried out according to classes, and management and query are facilitated; real-time early warning is carried out according to an analysis result, and when power supply switching is frequent, electric quantity of commercial power and a battery is abnormal, the battery is aged or equipment energy consumption exceeds a limit, early warning information is sent to operation and maintenance personnel in time, so that quick response and disposal are facilitated; the operation stability and reliability of the base station are improved, the equipment failure risk is effectively reduced, meanwhile, energy consumption optimization is assisted, the operation cost is reduced, and the method has great significance in guaranteeing stable operation of a communication network.

Description

Technical Field

[0001] The present invention relates to the technical field of communication base station monitoring, and particularly to a power environment monitoring system and method applied to outdoor communication base stations. Background Art

[0002] Outdoor communication base stations usually operate in complex and changeable environments, facing many problems such as unstable commercial power, large influence of solar power supply by weather, aging of storage batteries, and high energy consumption of equipment. These factors seriously affect the normal operation of the base station and the stability of the communication network.

[0003] In terms of power supply, commercial power, as the main power supply source, may experience voltage fluctuations, power outages, etc. due to grid failures, natural disasters, etc.; solar power supply is significantly affected by the length of sunlight and weather changes, and the power supply is unstable; as a backup power source, the storage battery will gradually age with the increase of use time, its charge and discharge performance will decline, and its capacity will decay. If it cannot be monitored and processed in time, it may not be able to supply power normally when the commercial power is interrupted, resulting in the shutdown of the base station and causing communication interruption. At the same time, the frequent switching between multiple power supply methods may also damage the base station equipment and affect the service life of the equipment.

[0004] From the perspective of equipment energy consumption, there are many kinds of electrical equipment in communication base stations. The traditional extensive energy management method causes serious energy consumption waste and high operation costs. In addition, unreasonable energy consumption not only increases energy consumption, but may also cause problems such as equipment overheating, further affecting the equipment performance and the reliability of the base station.

[0005] In terms of environmental factors, the parameters such as temperature and humidity of the environment where outdoor communication base stations are located change greatly. Extreme temperature and high humidity environments may accelerate equipment aging, reduce equipment performance, and even cause equipment failures.

[0006] Therefore, there is an urgent need for a comprehensive, efficient, and accurate power environment monitoring method to ensure the stable operation of communication base stations, reduce operation and maintenance costs, and improve the reliability and service quality of the communication network. Summary of the Invention

[0007] The purpose of the present invention is to provide a power environment monitoring system and method applied to outdoor communication base stations, and solve the technical problems proposed in the background art.

[0008] The purpose of the present invention can be achieved by the following technical solutions: A power environment monitoring method applied to outdoor communication base stations includes the following steps: Data acquisition: Collect the original data about the power supply status, battery parameters, equipment energy consumption, and environmental parameters in the communication base station; Data processing: Perform data preprocessing, data analysis, and data storage on the collected original data; Monitoring and control: Based on the results obtained from data collection and data processing, the communication base station is controlled in real time.

[0009] As a further solution of the present invention: The original data collection method is as follows: Power status collection: Collect the real-time status data of the power supply to the communication base station by the mains power, the battery, and solar energy. Specifically: According to the preset collection frequency, the input voltages of the mains power, the battery, and solar energy are collected through voltage sensors, and they are sequentially marked as U1 a 、U1 b 、U1 c , and the input currents of the mains power, the battery, and solar energy are collected through current sensors, and they are sequentially marked as L1 a 、L1 b 、L1 c ; Battery parameter collection: Collect the battery parameter data of the battery. Specifically: According to the preset collection frequency, the terminal voltage of the battery is collected by using a voltage sensor and marked as UD b , the charge and discharge current is collected through a current sensor and sequentially marked as LD b , the surface temperature of the battery is collected through a temperature sensor and sequentially marked as TD b ; Equipment energy consumption collection: For the electrical equipment powered by the communication base station, collect its equipment energy consumption data. Specifically: According to the preset collection frequency, the real-time power P of the electrical equipment is collected through a power sensor d ; Environmental parameter collection: Collect the environmental parameter data of the communication base station. Specifically: Through the temperature and humidity sensor, the temperature and humidity of the environment where the base station is located are collected according to the preset collection frequency, and they are sequentially marked as T e and H e .

[0010] As a further solution of the present invention: The data preprocessing method is as follows: For the real-time status data of the power supply to the communication base station by the mains power, the battery, and solar energy, the battery parameter data of the battery, the equipment energy consumption data of the electrical equipment, and the environmental parameter data of the communication base station, filtering processing is performed according to the moving average filtering algorithm to remove noise interference and obtain a smooth data sequence; The formula of the moving average filtering algorithm is: ; In the formula, X` is the original data after filtering processing, i is the filtering window, i = 1, 2,... N, and N is the number of original data at different timestamps within the filtering window; Among them, X ∈ {U1 a , U1 b , U1 c , L1 a , L1 b , L1 c , UD b , LD b , TD b ; T e , H e , P d}.

[0011] As a further solution of the present invention: the data analysis method is as follows: Analyze and process the preprocessed original data, and the analysis and processing method is as follows: Step B2.1, power supply status analysis: Within a pre-specified statistical period, according to the power supply status data, record the switching events between the mains power, the battery, and the solar power supply, and count the number of state switches, and then mark it as N s ; Step B2.2, battery parameter analysis: According to the principle of the ampere-hour integration method, within a specified time period, calculate the change in battery capacity RB according to the charge and discharge current LD b ; When the battery is in the charging state, that is, LD b > 0, then RB = LD b ×t1; When the battery is in the discharging state, that is, LD b < 0, then RB = LD b ×t1, and RB is negative; In the formula, t1 is the duration within the specified time period; Within a specified time period containing multiple specified time periods, extract the capacity change RB of each specified time period j , j = 1, 2,... m, representing the number of multiple specified time periods within the specified time period; Extract the battery capacity CR of the previous specified time period according to the time trend j-1 , and then through CR j = CR j-1 + RB j , obtain the battery capacity CR of the next adjacent specified time period j ; And so on, continuously repeat the above process. At the end of each specified time period, by accumulating the capacity change RB within this time interval j , combined with the battery capacity CR of the previous specified time periodj-1 to obtain the battery capacity CR for the next adjacent specified time period j ; Among them, when the battery is first put into use, that is, at the initial moment, the battery capacity CR is determined according to the nominal capacity of the battery j-1 ; the battery capacity obtained after the end of the previous specified time period is the battery capacity corresponding to the initial moment of the next adjacent specified time period; By: ; calculate the battery capacity decay rate RS within the current specified time period; In the formula, CR0 is the nominal capacity of the battery, and CR m is the battery capacity obtained in the last specified time period of the specified time period; Step B2.3, equipment energy consumption analysis: For electrical equipment, calculate its average power consumption respectively within different preset statistical periods.

[0012] As a further solution of the present invention: the statistical method of the number of state switches is as follows: if any one of the switching times from mains power supply to battery power supply, or from battery power supply to solar power supply, or from battery power supply to mains power supply, or from mains power supply to solar power supply, or from solar power supply to mains power supply, or from solar power supply to battery power supply occurs, the number of state switches is incremented by 1.

[0013] As a further solution of the present invention: the data storage method is as follows: The data after data preprocessing and the results obtained from data analysis are classified and stored in the database according to power supply status, battery parameters, equipment energy consumption, environmental parameters, and acquisition time.

[0014] As a further solution of the present invention: the real-time control method is as follows: Step C1, power supply status monitoring: Extract the number of state switches N s , when N s exceeds the preset switching threshold NY within the statistical period, an early warning message of abnormal power supply is sent to the operation and maintenance personnel through the internal communication system of the base station; Among them, the early warning message of abnormal power supply includes the number of switches, the real-time status data of the mains power supply, the battery, and the solar power supply for the communication base station; Continuously read the input voltage U1 of the mains power supply collected a , and monitor the current battery power XL of the battery; Then the input voltage U1 of the mains power supply aCompare it with a preset minimum voltage threshold, and at the same time compare the current battery power XL of the battery with a preset minimum power threshold: When U1 a is lower than the minimum voltage threshold and XL is lower than the minimum power threshold, record the duration when U1 a is lower than the minimum voltage threshold. If its duration is higher than a preset duration threshold, generate a power-off warning message, and then send the power-off warning message to the operation and maintenance personnel through the internal communication system of the base station; Among them, the content of the power-off warning message includes the input voltage of the current commercial power, the duration of continuous low voltage, and the current battery power; Step C2, battery aging monitoring: Based on the obtained battery capacity attenuation rate RS and battery surface temperature TD b judge the battery aging, generate a battery aging warning message according to the judgment result, and then send the battery aging warning message to the operation and maintenance personnel through the internal communication system of the base station; Among them, the battery aging warning message includes the battery capacity attenuation rate, the battery surface temperature, and the duration when the battery surface temperature is not within the battery temperature threshold range; Step C3, energy consumption optimization control: Perform optimization control according to the equipment energy consumption analysis result; When the average power consumption of the corresponding power-consuming equipment exceeds the corresponding preset power consumption threshold range, generate an energy consumption optimization message, and then send the energy consumption optimization message to the operation and maintenance personnel through the internal communication system of the base station.

[0015] As a further solution of the present invention: the battery aging judgment method is as follows: Compare the battery capacity attenuation rate RS and the battery surface temperature TD b with the corresponding preset attenuation rate threshold and battery temperature threshold range respectively: When RS exceeds the attenuation rate threshold and TD b is not within the battery temperature threshold range, record the duration when TD b is not within the battery temperature threshold range. If its duration is higher than a preset duration threshold, generate a battery aging warning message, and then send the battery aging warning message to the operation and maintenance personnel through the internal communication system of the base station.

[0016] A power environment monitoring system applied to an outdoor communication base station. This system is used to execute the power environment monitoring method applied to an outdoor communication base station, and is characterized in that this system includes: A data acquisition module, which is used to acquire the original data corresponding to the power supply status, battery parameters, equipment energy consumption, and environmental parameters in the communication base station; A data processing module for performing data pre - processing, data analysis, and data storage on the collected raw data; A monitoring and control module for performing real - time control on the communication base station according to the results obtained by the data collection module and the data processing module; As a further solution of the present invention: The data collection module includes: A power supply status collection unit for collecting real - time status data of the power supply of the communication base station by the commercial power, the storage battery, and the solar energy; A battery parameter collection unit for collecting battery parameter data of the storage battery; An equipment energy consumption collection unit for collecting equipment energy consumption data of the electrical equipment powered by the communication base station; An environmental parameter collection unit for collecting environmental parameter data of the communication base station; As a further solution of the present invention: The data processing module includes: A data pre - processing unit for filtering the real - time status data of the power supply of the communication base station by the commercial power, the storage battery, and the solar energy, the battery parameter data of the storage battery, the equipment energy consumption data of the electrical equipment, and the environmental parameter data of the communication base station according to the moving average filtering algorithm; A data analysis unit for analyzing and processing the filtered raw data; A data storage unit for classifying and storing the data after data pre - processing and the results obtained from data analysis into the database according to the power supply status, battery parameters, equipment energy consumption, environmental parameters, and collection time.

[0017] As a further solution of the present invention: The monitoring and control module includes: A power supply status monitoring unit for reading the number of status switches obtained by the data analysis unit in real - time; A battery aging monitoring unit for judging battery aging according to the obtained battery capacity attenuation rate RS and the battery surface temperature TD b ; An energy consumption optimization control unit for performing optimization control according to the equipment energy consumption analysis results in the data analysis unit.

[0018] Advantages of the present invention: Comprehensive data collection: By comprehensively collecting the power supply status, battery parameters, equipment energy consumption, and environmental parameters in the communication base station, it is possible to obtain various aspects of information on the operation of the base station, providing a rich and accurate data basis for subsequent monitoring and analysis, and helping to promptly discover various problems that may occur during the operation of the base station.

[0019] Effective data preprocessing: The sliding average filtering algorithm is used to filter the collected raw data, remove noise interference, obtain a smooth data sequence, improve the quality and reliability of the data, make the subsequent data analysis results more accurate, and avoid misjudgment caused by noise interference.

[0020] Power status analysis: Record the switching events between the mains power, battery, and solar power supply within the statistical period and count the number of state switches, which can clearly understand the changes in the power supply mode of the base station, help evaluate the stability and reliability of the power supply system, and promptly detect abnormal power supply situations.

[0021] Battery parameter analysis: Calculate the change in battery capacity using the ampere-hour integration method, and obtain the battery capacity for different time periods by accumulation, and then calculate the battery capacity attenuation rate, which can accurately grasp the health status and aging degree of the battery, provide a scientific basis for battery maintenance and replacement, and avoid base station operation failures caused by battery aging.

[0022] Equipment energy consumption analysis: Calculate the average power consumption of electrical equipment in different statistical periods respectively, which helps to understand the energy consumption situation of the equipment, provides data support for energy consumption optimization, and achieves the goal of energy conservation and consumption reduction.

[0023] Reasonable data storage: Classify and store the preprocessed data and analysis results into the database according to the power status, battery parameters, equipment energy consumption, environmental parameters, and acquisition time, which is convenient for data management and query, and also facilitates subsequent analysis and mining of historical data, providing a reference for the long-term operation and maintenance of the base station.

[0024] Power supply status monitoring: According to the number of state switches and information such as the mains input voltage and battery power, promptly issue early warning messages for abnormal power supply and power outage, enabling operation and maintenance personnel to respond quickly, take corresponding measures, ensure the normal power supply of the base station, and reduce the downtime of the base station caused by power supply problems.

[0025] Battery aging monitoring: Judge battery aging based on information such as the battery capacity attenuation rate and battery surface temperature and issue a warning, which can detect battery aging problems in advance, arrange battery maintenance or replacement in a timely manner, avoid failures caused by battery aging, and improve the stability of base station operation.

[0026] Energy consumption optimization control: Generate energy consumption optimization information based on the equipment energy consumption analysis results and send it to operation and maintenance personnel, which helps operation and maintenance personnel take measures to optimize equipment energy consumption, reduce operating costs, and also meet the requirements of energy conservation and emission reduction.

[0027] In summary, the power environment monitoring method of the present invention can achieve comprehensive, accurate, and real-time monitoring and management of outdoor communication base stations, improve the stability, reliability, and energy efficiency of base station operation, reduce operation and maintenance costs, and has significant economic and social benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The present invention will be further described below with reference to the accompanying drawings.

[0029] Figure 1 is a system block diagram of the power environment monitoring system and method applied to outdoor communication base stations of the present invention.

[0030] Figure 2 is a schematic flowchart of the power environment monitoring system and method applied to outdoor communication base stations of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention. Embodiment 1

[0032] Please refer to Figure 1 and Figure 2 As shown, the present invention is a power environment monitoring system applied to outdoor communication base stations, including: A data acquisition module for acquiring the original data corresponding to the power supply status, battery parameters, equipment energy consumption, and environmental parameters in the communication base station; This module includes: A power supply status acquisition unit for acquiring the real-time status data of the power supply of the communication base station by the commercial power, the storage battery, and the solar energy, and transmitting the acquired real-time status data to the data processing module in real time; Specifically: At a frequency of every 5 minutes, the input voltages of the commercial power, the storage battery, and the solar energy are acquired through a voltage sensor, and are sequentially marked as U1 a 、U1 b 、U1 c , and the input currents of the commercial power, the storage battery, and the solar energy are acquired through a current sensor, and are sequentially marked as L1 a 、L1 b 、L1 c ; A battery parameter acquisition unit for acquiring the battery parameter data of the storage battery and then sending it to the data processing module in a timely manner; Specifically: Every 10 minutes, the terminal voltage of the battery is collected by a voltage sensor and marked as UD b , and the charge and discharge current is collected by a current sensor and marked as LD in sequence b , and the surface temperature of the battery is collected by a temperature sensor and marked as TD in sequence b ; The device energy consumption acquisition unit is used to collect the device energy consumption data of the electrical equipment powered by the communication base station and transmit the device energy consumption data to the data processing module; Specifically: The real-time power P of the electrical equipment is collected by a power sensor every 15 minutes d , in this embodiment, the electrical equipment includes devices such as air conditioners and radio frequency units in the base station; The environmental parameter acquisition unit is used to collect the environmental parameter data of the communication base station and transmit it to the data processing module after collection; Specifically: The temperature and humidity of the environment where the base station is located are collected by a temperature and humidity sensor every 30 minutes and marked as T e and H e ; The data processing module is used to perform data analysis on the original data collected by the data acquisition module; The data analysis unit is used to analyze and process the original data after filtering, and the analysis and processing method is as follows: Within a pre-specified statistical period, the data analysis unit records the switching events between the mains power, the battery, and the solar power supply according to the power supply status data, and counts the number of status switches, and then marks it as N s ; The statistical method of the number of status switches is: if any one of the switching times from mains power supply to battery power supply, or from battery power supply to solar power supply, or from battery power supply to mains power supply, or from mains power supply to solar power supply, or from solar power supply to mains power supply, or from solar power supply to battery power supply occurs, the number of status switches is incremented by 1; In this embodiment, the statistical period is 1 day; The monitoring and control module is used to perform real-time control on the communication base station according to the results obtained by the data acquisition module and the data processing module; The real-time control is carried out by the power supply status monitoring unit set in the monitoring and control module, and the method is as follows: The power supply status monitoring unit is used to read the number of status switches N obtained by the data analysis unit in real time s ; When N within the statistical period sWhen it exceeds the pre - set switching threshold NY, a power supply anomaly warning message is sent to the operation and maintenance personnel through the internal communication system of the base station; Among them, the power supply anomaly warning message includes the switching times, the real - time status data of the commercial power, the storage battery, and the solar energy for powering the communication base station; In this embodiment, the value of NY is 3; At the same time, the power supply status monitoring unit is also used to continuously read the input voltage U1 of the commercial power collected a , and monitor the current battery power XL of the storage battery; Then compare the input voltage U1 of the commercial power a with the pre - set minimum voltage threshold, and at the same time compare the current battery power XL of the storage battery with the pre - set minimum power threshold: When U1 a is lower than the minimum voltage threshold and XL is lower than the minimum power threshold, record the continuous duration when U1 a is lower than the minimum voltage threshold. If its continuous duration is higher than the pre - specified duration threshold, a power - off warning message is generated, and then the power - off warning message is sent to the operation and maintenance personnel through the internal communication system of the base station; Among them, the content of the power - off warning message includes the current input voltage of the commercial power, the continuous low - voltage duration, and the current battery power of the storage battery.

[0033] In the first embodiment, the data acquisition module accurately acquires the original data such as the power supply status, battery parameters, equipment energy consumption, and environmental parameters of the communication base station at different frequencies, providing a rich information source for the system. The data processing module analyzes the power supply status data, records the power supply switching events and times, and the monitoring and control module controls in real - time according to the results. When the power supply switching times exceed the threshold, or the commercial power voltage and the storage battery power are both too low and the duration is too long, a warning is sent to the operation and maintenance personnel in time, which can effectively ensure the stable power supply of the communication base station, facilitate the operation and maintenance personnel to discover and handle power supply anomalies in time, reduce the risk of base station downtime caused by power supply failures, and improve the reliability of base station operation. Embodiment Two

[0034] As the second embodiment of the present invention, in the specific implementation of this application, compared with the first embodiment, the technical solution of this embodiment is only different from that of the first embodiment in that in this embodiment, the data processing module further includes: A data pre - processing unit, which is used to filter the real - time status data of the commercial power, the storage battery, and the solar energy for powering the communication base station, the battery parameter data of the storage battery, the equipment energy consumption data of the electrical equipment, and the environmental parameter data of the communication base station according to the sliding average filtering algorithm to remove noise interference; The formula of the sliding average filtering algorithm is: ; Wherein, X` is the original data after filtering processing, i is the filtering window, i = 1, 2, …… N, and N is the number of original data at different timestamps within the filtering window; Among them, X ∈ {U1 a , U1 b , U1 c , L1 a , L1 b , L1 c , UD b , LD b , TD b ; T e , H e , P d}; The data storage unit is used to classify and store the data after data preprocessing and the results obtained from data analysis into the database according to the power state, battery parameters, device energy consumption, environmental parameters, and acquisition time.

[0035] Based on Embodiment 1, Embodiment 2 adds a data preprocessing unit to filter various types of original data using the moving average filtering algorithm to remove noise interference, improve the accuracy and reliability of the data, and make the subsequent data analysis results more scientific and effective; the data storage unit classifies and stores the preprocessed data and analysis results, facilitating data query, management, and further analysis, providing a good data foundation for the long-term management and research of communication base station data, helping operation and maintenance personnel quickly obtain effective information from massive data, and providing strong support for base station optimization management. Embodiment 3

[0036] As Embodiment 3 of the present invention, in the specific implementation of this application, compared with Embodiment 1 and Embodiment 2, the technical solution of this embodiment is to combine and implement the solutions of the above Embodiment 1 and Embodiment 2. The difference between the technical solution of this embodiment and Embodiment 1 and Embodiment 2 is only that in this embodiment, the analysis and processing method of the data analysis unit is also as follows: Step B2.2.1: According to the principle of the ampere-hour integration method, within a specified time period, calculate the change in battery capacity RB based on the charge and discharge current LD b . When the battery is in the charging state, that is, LD b > 0, then RB = LD b ×t1; When the battery is in the discharging state, that is, LD b < 0, then RB = LD b ×t1, and RB is negative; In the formula, t1 is the duration within the specified time period; Step B2.2.2: During a specified time period containing multiple specified time intervals, extract the capacity change amount RB for each specified time interval j , where j = 1, 2, …, m, representing the number of multiple specified time intervals within the specified time period; Step B2.2.3: Extract the battery capacity CR of the previous specified time interval in the direction of time j-1 , and then through CR j =CR j-1 +RB j , obtain the battery capacity CR of the next adjacent specified time interval j ; And so on, continuously repeat the above process. At the end of each specified time interval, by accumulating the capacity change amount RB within this time interval j , combined with the battery capacity CR of the previous specified time interval j-1 , obtain the battery capacity CR of the next adjacent specified time interval j ; Among them, first when the battery is put into use, that is, at the initial moment, determine the battery capacity CR according to the nominal capacity of the battery j-1 ; The battery capacity obtained after the end of the previous specified time period is the battery capacity at the initial moment corresponding to the next adjacent specified time period; Step B2.2.4: Through: ; Calculate the battery capacity attenuation rate RS within the current specified time period; In the formula, CR0 is the nominal capacity of the battery, and CR m is the battery capacity obtained in the last specified time interval of the specified time period; The real-time control of the monitoring and control module is also carried out through the battery aging monitoring unit set in the monitoring and control module, and the method is as follows: The battery aging monitoring unit is used to judge battery aging according to the obtained battery capacity attenuation rate RS and the battery surface temperature TD b , and the method is as follows: Compare the battery capacity attenuation rate RS and the battery surface temperature TD b with the corresponding preset attenuation rate threshold and battery temperature threshold range respectively: When RS exceeds the attenuation rate threshold and TD b is not within the battery temperature threshold range, record the duration during which TD b is not within the battery temperature threshold range. If its duration is higher than the pre-specified duration threshold, generate a battery aging warning message, and then send the battery aging warning message to the operation and maintenance personnel through the internal communication system of the base station; Among them, the battery aging warning information includes the battery capacity attenuation rate, the battery surface temperature, and the duration during which the battery surface temperature is not within the battery temperature threshold range; Embodiment 3 combines the first two embodiments to further expand the function of the data analysis unit. The ampere-hour integration method is used to calculate the battery capacity change, the battery capacity, and the attenuation rate. At the same time, through the battery aging monitoring unit of the monitoring and control module, the battery aging situation is judged based on the battery capacity attenuation rate and the surface temperature. When specific conditions are met, a battery aging warning is issued in a timely manner, enabling the operation and maintenance personnel to master the battery aging status in advance, take replacement or maintenance measures in a timely manner, avoid power supply failures caused by battery aging, extend the battery service life, and ensure the stable operation of the communication base station power supply system. Embodiment 4

[0037] As Embodiment 4 of the present invention, in the specific implementation of this application, compared with Embodiment 1, Embodiment 2, and Embodiment 3, the difference between this embodiment and Embodiment 1, Embodiment 2, and Embodiment 3 is only that in this embodiment, the analysis and processing method of the data analysis unit is also as follows: For the electrical equipment, calculate its average power consumption respectively within different preset statistical periods; The real-time control of the monitoring and control module is also carried out through the energy consumption optimization control unit set in the monitoring and control module, and its method is as follows: The energy consumption optimization control unit is used to perform optimization control according to the equipment energy consumption analysis result in the data analysis unit; When the average power consumption of the corresponding electrical equipment exceeds the corresponding preset power consumption threshold range, an energy consumption optimization information is generated, and then the energy consumption optimization information is sent to the operation and maintenance personnel through the internal communication system of the base station. The operation and maintenance personnel adjust the equipment power according to the actual environment and business requirements, effectively reducing energy waste, reducing the energy consumption cost of the base station operation, and at the same time meeting the environmental protection requirements of energy conservation and emission reduction.

[0038] Based on the previous embodiments, Embodiment 4 calculates the average power consumption of the electrical equipment within different statistical periods. The energy consumption optimization control unit of the monitoring and control module issues energy consumption optimization information according to the analysis result when the average power consumption of the equipment exceeds the preset threshold, helping the operation and maintenance personnel to timely discover high-energy-consuming equipment, adjust the equipment power according to the actual situation, effectively reduce the energy consumption of the base station, reduce the operation cost, and at the same time meet the environmental protection requirements of energy conservation and emission reduction, realizing the green and energy-saving operation of the communication base station. Embodiment 5

[0039] As Embodiment 5 of the present invention, in the specific implementation of this application, compared with Embodiment 1, Embodiment 2, Embodiment 3, and Embodiment 4, the technical solution of this embodiment is to combine and implement the solutions of the above Embodiment 1, Embodiment 2, Embodiment 3, and Embodiment 4.

[0040] Embodiment 5 integrates the technical solutions of the previous four embodiments, comprehensively covering functions such as power supply status monitoring, data preprocessing and storage, battery aging judgment, and energy consumption optimization control. Through the collaborative work in multiple aspects, it can not only ensure the stable power supply of communication base stations, improve data quality, and timely detect battery aging problems, but also effectively reduce energy consumption, realize the full - range and efficient monitoring and management of the power environment of communication base stations, improve the reliability, stability, and economy of base station operation, and meet the development needs of the intelligence and energy conservation of communication base stations.

[0041] The present invention also provides a power environment monitoring method applied to outdoor communication base stations. This method is implemented through a power environment monitoring system applied to outdoor communication base stations and includes the following steps: Data acquisition: Collect the original data on power supply status, battery parameters, equipment energy consumption, and environmental parameters in the communication base station; Data processing: Perform data preprocessing, data analysis, and data storage on the collected original data; Monitoring and control: Perform real - time control on the communication base station based on the results obtained from data acquisition and data processing.

[0042] It should be stated that all the data collected in this application are collected with the consent and authorization of the user, and the uses of the data are legal and compliant, and the use and processing of the data comply with the relevant laws, regulations, and standards of the relevant regions.

[0043] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by software simulation of a large amount of collected data to get a formula closest to the real situation. The preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.

[0044] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claimed rights.

Claims

1. A power environment monitoring method applied to outdoor communication base stations, characterized in that, It includes the following steps: Data acquisition: Collect the original data on power status, battery parameters, equipment energy consumption, and environmental parameters in the communication base station; Data processing: Perform data preprocessing, data analysis, and data storage on the collected original data; Monitoring and control: Perform real-time control on the communication base station based on the results obtained from data acquisition and data processing.

2. The power environment monitoring method applied to an outdoor communication base station according to claim 1, wherein, The original data acquisition method is as follows: Power status acquisition: Collect real-time status data of the power supply of the communication base station from the mains power, battery, and solar energy. Specifically: According to the preset acquisition frequency, collect the input voltages of the mains power, battery, and solar energy through voltage sensors, and mark them as U1 a 、U1 b 、U1 c in sequence. Collect the input currents of the mains power, battery, and solar energy through current sensors, and mark them as L1 a 、L1 b 、L1 c ; Battery parameter acquisition: Collect the battery parameter data of the storage battery, specifically: Collect the terminal voltage of the battery using a voltage sensor at a pre-set acquisition frequency and label it as UD b , collect the charge and discharge current through a current sensor and label it as LD in sequence b , collect the surface temperature of the battery through a temperature sensor and label it as TD in sequence b ; Equipment energy consumption acquisition: For the electrical equipment powered by the communication base station, collect its equipment energy consumption data, specifically: Collect the real-time power P of the electrical equipment through the power sensor at a preset acquisition frequency d ; Environmental parameter acquisition: Collect the environmental parameter data of the communication base station, specifically: Collect the temperature and humidity of the environment where the base station is located through the temperature and humidity sensors at a pre-set collection frequency, and label them as T e and H e .

3. The power environment monitoring method applied to an outdoor communication base station according to claim 2, characterized in that, The data preprocessing method is as follows: For the real-time status data of the power supply of the communication base station by the commercial power, storage battery, and solar energy, the battery parameter data of the storage battery, the equipment energy consumption data of the electrical equipment, and the environmental parameter data of the communication base station, perform filtering processing according to the moving average filtering algorithm to remove noise interference and obtain a smooth data sequence; The formula of the moving average filtering algorithm is as follows: ; In the formula, X` is the original data after filtering processing, i is the filtering window, i = 1, 2,... N, and N is the number of original data at different timestamps within the filtering window; Among them, X ∈ {U1 a , U1 b , U1 c , L1 a , L1 b , L1 c , UD b , LD b , TD b ; T e , H e , P d}.

4. The power environment monitoring method applied to an outdoor communication base station according to claim 3, characterized in that The data analysis method is as follows: Perform analysis and processing on the preprocessed original data, and the analysis and processing method is as follows: Step B2.1, Power status analysis: During a pre-specified statistical period, based on the power supply status data, record the switching events between the mains power, the battery, and the solar power supply, count the number of state switches, and then label it as N s ; Step B2.2, Battery parameter analysis: According to the principle of ampere-hour integration method, within a specified time period, the change amount RB of the battery capacity is calculated based on the charge and discharge current LD b ; When the battery is in the charging state, i.e., LD b > 0, then RB = LD b × t1; When the battery is in the discharge state, i.e., LD b <0, then RB = LD b ×t1, and RB is negative; In the formula, t1 is the duration within the specified time period; Extract the capacity change amount RB for each specified time period within a specified time cycle that includes multiple specified time periods j , where j = 1, 2,..., m, representing the number of multiple specified time periods within the specified time cycle Extract the battery capacity CR of the previous specified time period according to the time trend j-1 , and then through CR j =CR j-1 +RB j , obtain the battery capacity CR of the next specified time period adjacent to it j ; And so on, continuously repeating the above process. At the end of each specified time period, by accumulating the change in capacity RB within that time interval j , combined with the battery capacity CR of the previous specified time period j-1 , the battery capacity CR of the next adjacent specified time period is obtained j ; Adopted by: ; Calculate the battery capacity attenuation rate RS within the current specified time period; Wherein, CR0 is the nominal capacity of the battery, and CR m is the battery capacity obtained in the last specified time period within the specified time period; Step B2.3, Equipment energy consumption analysis: For the electrical equipment, calculate its average power consumption respectively within different preset statistical periods.

5. The power environment monitoring method applied to an outdoor communication base station according to claim 4, characterized in that, Among them, First, when the battery is put into use, that is, at the initial moment, the battery capacity CR is determined according to the nominal capacity of the battery. j-1 The battery capacity obtained after the end of the previous specified time period is the battery capacity corresponding to the initial moment of the next adjacent specified time period.

6. The power environment monitoring method applied to an outdoor communication base station according to claim 4, characterized in that, The statistical method of the status switching times is: If any one of the switching times from commercial power supply to storage battery power supply, or storage battery power supply to solar energy power supply, or storage battery power supply to commercial power supply, or commercial power supply to solar energy power supply, or solar energy power supply to commercial power supply, or solar energy power supply to storage battery power supply occurs, the status switching times is incremented by 1.

7. The power environment monitoring method applied to an outdoor communication base station according to claim 4, characterized in that, The data storage method is as follows: Classify and store the data after data preprocessing and the results obtained from data analysis into the database according to the power status, battery parameters, equipment energy consumption, environmental parameters, and acquisition time.

8. The power environment monitoring method applied to an outdoor communication base station according to claim 4, wherein The real-time control method is as follows: Step C1, Power supply status monitoring: Extract the number of state switches N s , when N s exceeds the pre-set switching threshold NY during the statistical period, an early warning message of abnormal power supply is sent to the operation and maintenance personnel through the internal communication system of the base station; Continuously read the input voltage U1 of the mains power collected a , and monitor the current battery power XL of the battery; Subsequently, the input voltage U1 of the mains power supply a is compared with a preset minimum voltage threshold, and at the same time, the current battery power XL of the battery is compared with a preset minimum power threshold: When U1 a is lower than the lowest voltage threshold and XL is lower than the lowest power threshold, then record the duration of U1 a when it is lower than the lowest voltage threshold. If its duration is higher than the pre-specified duration threshold, then generate a power outage warning message, and then send the power outage warning message to the operation and maintenance personnel through the internal communication system of the base station; Step C2, Battery aging monitoring: Based on the obtained battery capacity attenuation rate RS and the battery surface temperature TD b Perform battery aging judgment, generate a battery aging warning message according to the judgment result, and then send the battery aging warning message to the operation and maintenance personnel through the internal communication system of the base station; Step C3, Energy consumption optimization control: Perform optimization control according to the equipment energy consumption analysis results; When the average power consumption of the corresponding electrical equipment exceeds the corresponding preset power consumption threshold range, an energy consumption optimization message is generated, and then the energy consumption optimization message is sent to the operation and maintenance personnel through the internal communication system of the base station.

9. The power environment monitoring method applied to an outdoor communication base station according to claim 8, characterized in that, The battery aging judgment method is as follows: Compare the battery capacity attenuation rate RS and the battery surface temperature TD b with the corresponding preset attenuation rate threshold and the battery temperature threshold range respectively: When RS exceeds the attenuation rate threshold and TD b is not within the battery temperature threshold range, record TD b the duration of not being within the battery temperature threshold range. If its duration is higher than the pre-specified duration threshold, generate a battery aging warning message, and then send the battery aging warning message to the operation and maintenance personnel through the internal communication system of the base station.

10. A power environment monitoring system applied to an outdoor communication base station, the system implementing the power environment monitoring method for an outdoor communication base station according to any one of claims 1-9, characterized in that, The system includes: A data acquisition module, used to collect the original data corresponding to the power status, battery parameters, equipment energy consumption, and environmental parameters in the communication base station through the power status acquisition unit, battery parameter acquisition unit, equipment energy consumption acquisition unit, and environmental parameter acquisition unit; A data processing module, used to perform data preprocessing, data analysis, and data storage on the collected original data through the data preprocessing unit, data analysis unit, and data storage unit; The monitoring and control module is used to perform real-time control on the communication base station based on the results obtained by the data acquisition module and the data processing module, and through the power supply status monitoring unit, the battery aging monitoring unit, and the energy consumption optimization control unit.

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