Base station battery remote measurement method, device and equipment and computer storage medium

Abstract

The application discloses a base station battery remote measurement method, device and equipment and a computer storage medium. The base station battery remote measurement method comprises the following steps: acquiring antenna basic data of a base station where a battery to be measured is located, calculating a wireless coverage range according to the antenna basic data; performing cluster analysis on the base station according to the wireless coverage range to obtain a base station grouping; and measuring a station battery in the base station grouping to obtain a measurement result. The application realizes the improvement of the efficiency of remote battery testing without affecting the operation of services.

Description

Technical Field

[0001] This invention relates to the field of battery testing technology, and in particular to a method, apparatus, equipment, and computer storage medium for remote measurement of base station batteries. Background Technology

[0002] Most existing remote battery testing methods are still immature and imperfect. They simply use software platforms to remotely and randomly select sites for battery testing from an engineering perspective, which cannot ensure that the lack of backup power will not affect business operations during battery testing. Summary of the Invention

[0003] The main objective of this invention is to provide a method, apparatus, device, and computer storage medium for remote measurement of base station batteries, aiming to solve the technical problem of how to improve the efficiency of remote battery testing without affecting business operations.

[0004] To achieve the above objectives, the present invention provides a method for remote measurement of base station batteries, comprising the following steps:

[0005] Obtain the basic antenna data of the base station where the battery under test is located, and calculate the wireless coverage range based on the basic antenna data;

[0006] Based on the wireless coverage area, cluster analysis is performed on the base stations to obtain base station groups;

[0007] The site batteries within the base station group were measured, and the measurement results were obtained.

[0008] Optionally, the step of calculating the wireless coverage area based on the antenna baseline data includes:

[0009] Determine the antenna azimuth and vertical plane 3dB bandwidth in the antenna basic data, and calculate the ratio of the vertical plane 3dB bandwidth to the preset value;

[0010] Calculate the first difference between the antenna azimuth angle and the proportional value, and use the first difference as the antenna radiation radius. Calculate the wireless coverage area based on the antenna radiation radius.

[0011] Optionally, the step of calculating the wireless coverage area based on the antenna radiation radius includes:

[0012] Determine the signal obstruction range in the antenna basic data, and calculate the antenna radiation area corresponding to the antenna radiation radius;

[0013] Calculate the second difference between the antenna radiation area and the signal blocking range, and use the second difference as the wireless coverage range.

[0014] Optionally, the step of determining the antenna azimuth angle in the antenna basic data includes:

[0015] Determine the mechanical downtilt angle and electronic downtilt angle in the antenna basic data, and calculate the sum of the mechanical downtilt angle and the electronic downtilt angle, using the sum as the antenna azimuth angle.

[0016] Optionally, the step of performing cluster analysis on the base stations based on the wireless coverage area to obtain base station groups includes:

[0017] If there are multiple base stations where the battery under test is located, the wireless coverage area corresponding to each base station is determined, cluster analysis is performed based on each wireless coverage area, and base station grouping is determined based on the cluster analysis results.

[0018] Optionally, the step of determining base station groups based on cluster analysis results includes:

[0019] Based on the cluster analysis results, related base stations are identified, base station clusters are constructed based on the related base stations, and the center point of the base station cluster is determined.

[0020] The range of the base station cluster is determined based on the latitude and longitude of each associated base station and the center point, and all base stations corresponding to the range of the base station cluster are grouped as base stations.

[0021] Optionally, the step of measuring the site batteries within the base station group includes:

[0022] Traverse all base station sites within the base station group and detect all battery elements of the site battery in the base station site;

[0023] If an abnormal battery element is found, the base station corresponding to the abnormal battery element is skipped, and the detection of all battery elements in the subsequent base station batteries is performed until the detection of all base station batteries is completed.

[0024] Furthermore, to achieve the above objectives, the present invention also provides a remote measurement device for base station batteries, comprising:

[0025] The acquisition module is used to acquire the basic antenna data of the base station where the battery under test is located, and to calculate the wireless coverage range based on the basic antenna data.

[0026] The clustering analysis module is used to perform clustering analysis on the base stations according to the wireless coverage area to obtain base station groups;

[0027] The measurement module is used to measure the site batteries within the base station group and obtain the measurement results.

[0028] In addition, to achieve the above objectives, the present invention also provides a remote measurement device for base station batteries. The remote measurement device for base station batteries includes a memory, a processor, and a remote measurement program for base station batteries stored in the memory and executable on the processor. When the remote measurement program for base station batteries is executed by the processor, it implements the steps of the remote measurement method for base station batteries as described above.

[0029] In addition, to achieve the above objectives, the present invention also provides a computer storage medium storing a remote measurement program for base station batteries, wherein the remote measurement program for base station batteries, when executed by a processor, implements the steps of the remote measurement method for base station batteries as described above.

[0030] This invention calculates the wireless coverage range based on the antenna data of the base station where the battery under test is located, and performs cluster analysis based on the wireless coverage range to determine base station groups. Then, it measures the batteries at sites within each base station group to obtain the measurement results. This avoids the disruption to service operation caused by the lack of backup power during random testing. Furthermore, base stations within the same group can be covered by the antennas of their neighboring cell base stations, ensuring that remote batch battery charging and discharging tests initiated by base stations within the same group at any time do not affect the services provided by the telecommunications operator. This achieves improved efficiency in remote battery testing without affecting service operation. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the terminal / device structure of the hardware operating environment involved in the embodiments of the present invention;

[0032] Figure 2 This is a flowchart illustrating the first embodiment of the remote measurement method for base station batteries of the present invention.

[0033] Figure 3 This is a schematic diagram of the device modules of the remote measurement device for base station batteries of the present invention;

[0034] Figure 4 This is a schematic diagram of cluster analysis in the remote measurement method for base station batteries of the present invention;

[0035] Figure 5 This is another schematic diagram of cluster analysis in the remote measurement method for base station batteries of the present invention;

[0036] Figure 6 This is a flowchart illustrating the remote measurement method for base station batteries according to the present invention.

[0037] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0038] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0039] like Figure 1 As shown, Figure 1 This is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiments of the present invention.

[0040] In this embodiment of the invention, the terminal is a remote measurement device for base station batteries.

[0041] like Figure 1 As shown, the terminal may include: a processor 1001, such as a CPU; a network interface 1004; a user interface 1003; a memory 1005; and a communication bus 1002. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard. Optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be high-speed RAM or non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0042] Optionally, the terminal may also include a camera, RF (Radio Frequency) circuitry, sensors, audio circuitry, a WiFi module, and so on. These sensors may include light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor. The ambient light sensor can adjust the brightness of the display screen according to the ambient light level, while the proximity sensor can turn off the display screen and / or backlight when the terminal device is moved to the ear. Of course, the terminal device may also be equipped with other sensors such as a gyroscope, barometer, hygrometer, thermometer, and infrared sensor, which will not be elaborated upon here.

[0043] Those skilled in the art will understand that Figure 1 The terminal structure shown does not constitute a limitation on the terminal and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0044] like Figure 1 As shown, the memory 1005, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a base station battery remote measurement program.

[0045] exist Figure 1In the terminal shown, network interface 1004 is mainly used to connect to the backend server and communicate with it; user interface 1003 is mainly used to connect to the client (user terminal) and communicate with it; while processor 1001 can be used to call the base station battery remote measurement program stored in memory 1005 and perform the following operations:

[0046] Obtain the basic antenna data of the base station where the battery under test is located, and calculate the wireless coverage range based on the basic antenna data;

[0047] Based on the wireless coverage area, cluster analysis is performed on the base stations to obtain base station groups;

[0048] The site batteries within the base station group were measured, and the measurement results were obtained.

[0049] Reference Figure 2 This invention provides a method for remotely measuring base station batteries. In a first embodiment of the method, the method includes the following steps:

[0050] Step S10: Obtain the basic antenna data of the base station where the battery under test is located, and calculate the wireless coverage range based on the basic antenna data;

[0051] Currently, base station battery testing involves remotely and randomly selecting sites, which cannot guarantee that service disruptions due to backup power shortages will be avoided during battery testing. Therefore, this embodiment analyzes the coverage of adjacent base station antennas, such as coverage radius, coverage strength, and signal obstruction, and groups the base stations. Base stations within the same group are covered by the antennas of their neighboring cells, ensuring that remote batch battery charging and discharging tests can be initiated at any time by base stations within the same group, even without backup power, without affecting the telecommunications operator's service provision. This allows for efficient and rapid initiation of batch remote battery testing without impacting the telecommunications operator's services. The system automatically records discharge data to generate battery test curves, including: battery pack capacity (SOC), total battery pack voltage, individual cell voltage, battery pack internal resistance, battery pack state of health (SOH), ambient / labeled battery temperature, and battery pack charging / discharging current.

[0052] Therefore, in this embodiment, it is necessary to obtain the basic antenna data of the base station where the battery under test is located from the operator's relevant system. This basic antenna data includes the base station's latitude and longitude, antenna height, antenna azimuth (mechanical downtilt angle, electronic downtilt angle), and antenna vertical 3dB bandwidth. The base station's latitude and longitude are the accurate geographical coordinates of the base station antenna, used to confirm the precise location of the base station's signal transmission source. The antenna height is the altitude of the antenna signal transmission port, used to confirm the precise location of the signal transmission source. The antenna's electronic downtilt angle is adjusted by adjusting the coils inside the antenna, which is achieved by adjusting the antenna array. The mechanical downtilt angle is adjusted by the bracket behind the antenna panel, adjusting the panel's downtilt angle, thus physically tilting the antenna. Simply put, the mechanical downtilt angle is a physical angle visible to the naked eye, while the electronic downtilt angle is built-in and can be adjusted via parameters in the background without needing to be mounted on a tower. In addition, there is another value: the antenna's vertical 3dB bandwidth, which refers to the angle between two directions where the radiated power decreases by 3dB on either side of the direction of maximum radiation in the vertical direction.

[0053] All acquired antenna baseline data is stored in a pre-defined list data structure. Then, the wireless coverage area is calculated from the antenna baseline data in the list data structure. This can be determined using the formulas: Antenna radiation radius = Radiation angle * Antenna mounting height; Radiation angle = (Mechanical downtilt angle + Electronic downtilt angle) - Vertical plane 3dB beamwidth / 2; Wireless coverage area = π * Antenna radiation radius² - Signal obstruction range.

[0054] Step S20: Perform cluster analysis on the base stations according to the wireless coverage area to obtain base station groups;

[0055] Once the wireless coverage area of ​​a base station is determined, cluster analysis can be performed to group the base stations based on wireless coverage. Specifically, the latitude and longitude of the base stations can be converted into values ​​on the x and y axes, and the wireless coverage area can be used as an inherent parameter of the base station site data, i.e., base station parameters. Then, cluster optimization algorithms are used to group the base stations based on wireless coverage. For example, a Gaussian mixture model can be used for clustering, assuming that the base station locations follow a Gaussian distribution on the map, with each Gaussian distribution assigned to a single base station cluster. In this case, the base station parameters of two base stations can be randomly selected to describe the shape of the base station cluster, and the mean and variance can be calculated. Since the base station cluster has variance on the x and y axes, it can be determined that the base station cluster can be an ellipse of any shape.

[0056] Clustering can be the process of dividing a collection of physical or abstract objects into multiple classes composed of similar objects; these objects can be base station sites. Clusters can be groups of areas generated by clustering that share common characteristics, such as base stations with a common service area. For example, ... Figure 4As shown, base station sites of the same color are grouped into clusters, i.e., base station clusters. The four base station sites A, B, C, and D are the core sites obtained by Gaussian clustering within the four base station clusters. The mean and variance refer to the mean and variance of the distances from the sites within the same cluster to the cluster center. The mean is determined by calculating the average distance from the sites within the same cluster to the cluster center.

[0057] like Figure 5 As shown, a circle is drawn with the mean distance from each cluster to the cluster's central station as the radius. The sum of the squares of the distances from each station within a cluster to the mean circle is the variance of the cluster's clustering fit. For example... Figure 5 Taking the top-left station X, which belongs to cluster A, as an example, although it does not belong to the mean circle of any station cluster, station X is closest to the core station and the circle of cluster A. Therefore, station X is merged into cluster A.

[0058] Step S30: Measure the site batteries within the base station group and obtain the measurement results.

[0059] Once the base station group is determined, a logical judgment can be made to test the batteries of the sites within the base station group. This involves: selecting a site and iterating through the battery elements to check for anomalies; verifying whether there are alarms in the battery semaphores (e.g., battery pack overcharge / overcurrent alarms, battery pack undervoltage / overcurrent alarms, battery charging overvoltage alarms, etc.). If an anomaly is found, the loop is exited, and the site is marked for retesting. A new site is selected and the measurement is repeated until all sites have been measured, the measurement results are obtained, and the data is aggregated. In this embodiment, a site can be a base station.

[0060] In addition, to aid in understanding the principle of remote measurement of base station batteries in this embodiment, examples are provided below.

[0061] For example, such as Figure 6As shown, Step 1 involves obtaining antenna data for all base stations requiring battery testing, including latitude, longitude, and azimuth. Step 2 involves storing all base station antenna data for battery testing in a list. Step 3 involves applying Gaussian Mixture Model (GMM) clustering algorithm to complete the initial grouping for batch battery testing of base stations. Step 4 involves iterating through the site elements (batteries) within the initial group to verify battery signal strength and check for alarms (e.g., battery overcharge / overcurrent alarms, battery undervoltage / overcurrent alarms, current charging overvoltage alarms, etc.). If an alarm is detected, the site is removed from the test list and added to the untested site set for regrouping and testing. If not, batch battery telemetry is performed on all selected sites according to test requirements to determine if there are any untested sites. If so, the iteration through site elements (batteries) within the initial group continues. If not, proceed to Step 5 to summarize all data and end the test.

[0062] In this embodiment, the wireless coverage range is calculated based on the antenna data of the base station where the battery under test is located. Cluster analysis is then performed based on the wireless coverage range to determine base station groups. Measurements are then taken of the batteries at sites within each base station group to obtain the measurement results. This avoids the disruption to service operations caused by random testing due to insufficient backup power. Furthermore, base stations within the same group are covered by the antennas of their neighboring cell base stations, ensuring that remote batch battery charging and discharging tests initiated by base stations within the same group at any time do not affect the services provided by the telecommunications operator. This achieves improved efficiency in remote battery testing without impacting service operations.

[0063] Furthermore, based on the first embodiment of the present invention described above, a second embodiment of the remote measurement method for base station batteries of the present invention is proposed. In this embodiment, the refinement of step S10 of the above embodiment, the step of calculating the wireless coverage range based on the antenna basic data, includes:

[0064] Step a: Determine the antenna azimuth and vertical plane 3dB bandwidth in the antenna basic data, and calculate the ratio of the vertical plane 3dB bandwidth to the preset value;

[0065] In this embodiment, when calculating the wireless coverage range, it is necessary to use key factors such as coverage radius, coverage strength and signal obstruction in the base station basic data. Therefore, the antenna azimuth and vertical plane 3dB bandwidth in the antenna basic data can be determined, and the ratio of vertical plane 3dB to a preset value (a value set in advance) can be calculated, such as vertical plane 3dB bandwidth / 2.

[0066] Step b: Calculate the first difference between the antenna azimuth angle and the ratio value, and use the first difference as the antenna radiation radius. Calculate the wireless coverage area based on the antenna radiation radius.

[0067] Next, the first difference between the antenna azimuth angle and the proportional value is calculated. Since the antenna azimuth angle includes both mechanical and electronic downtilt angles, this is also calculated as the difference between the sum of the mechanical and electronic downtilt angles and the proportional value. This first difference is then used as the antenna radiation radius. That is, antenna radiation radius = radiation angle * antenna mounting height; radiation angle = (mechanical downtilt angle + electronic downtilt angle) - 3dB vertical beamwidth / 2. Furthermore, after calculating the antenna radiation radius, the wireless coverage area can be directly calculated based on the antenna radiation radius and the signal obstruction range in the base station's basic data.

[0068] In this embodiment, the antenna radiation radius is determined by first calculating the ratio of the vertical plane 3dB bandwidth in the antenna basic data to a preset value, and then calculating the first difference between the antenna azimuth angle and the ratio value. The wireless coverage range is then calculated based on the antenna radiation radius, thereby ensuring the accuracy of the calculated wireless coverage range.

[0069] Specifically, the step of calculating the wireless coverage area based on the antenna's radiation radius includes:

[0070] Step c: Determine the signal obstruction range in the antenna basic data and calculate the antenna radiation area corresponding to the antenna radiation radius;

[0071] In this embodiment, it is necessary to determine the signal obstruction range in the acquired antenna basic data and calculate the antenna radiation area corresponding to the antenna radiation radius, i.e., π * antenna radiation radius. 2 .

[0072] Step d: Calculate the second difference between the antenna radiation area and the signal blocking range, and use the second difference as the wireless coverage range.

[0073] Then, the difference between the antenna's radiating area and the signal obstruction range is calculated, which is the second difference. This second difference is then used as the wireless coverage area. That is, wireless coverage area = π * antenna radiating radius. 2 - Signal obstruction range.

[0074] In this embodiment, the antenna radiation area is calculated based on the signal obstruction direction, and the second difference between the antenna radiation area and the signal obstruction range is used as the wireless coverage range, thereby ensuring the accuracy and effectiveness of the obtained wireless coverage range.

[0075] Specifically, the step of determining the antenna azimuth angle in the antenna basic data includes:

[0076] Step e: Determine the mechanical downtilt angle and electronic downtilt angle in the antenna basic data, calculate the sum of the mechanical downtilt angle and the electronic downtilt angle, and use the sum as the antenna azimuth angle.

[0077] In this embodiment, after obtaining the basic antenna data, the mechanical downtilt angle and electronic downtilt angle in the basic antenna data can be determined first. The mechanical downtilt angle is a physical angle visible to the user, while the electronic downtilt angle is built-in and can be adjusted via parameters in the background without needing to be mounted on a tower. The sum of the mechanical downtilt angle and the electronic downtilt angle is then calculated and used as the antenna azimuth angle.

[0078] In this embodiment, by determining the sum of the mechanical downtilt angle and the electronic downtilt angle in the antenna basic data, and using the sum as the antenna azimuth angle, the accuracy and effectiveness of the obtained antenna azimuth angle are ensured.

[0079] Further, the step of performing cluster analysis on the base stations based on the wireless coverage area to obtain base station groups includes:

[0080] Step f: If there are multiple base stations where the battery under test is located, determine the wireless coverage area corresponding to each base station, perform cluster analysis based on each wireless coverage area, and determine the base station grouping based on the cluster analysis results.

[0081] In this embodiment, when grouping base stations and determining that multiple base stations containing the batteries under test exist, the wireless coverage area corresponding to each base station can be determined first. The method for determining the wireless coverage area of ​​each base station can refer to the method described above, i.e., determined based on antenna basic data. Then, cluster analysis is performed on the base stations based on their respective wireless coverage areas, and the base station grouping is completed based on the cluster analysis results. Furthermore, a preset clustering optimization algorithm is used to group the base stations based on their wireless coverage areas. The clustering optimization algorithm can be a Gaussian mixture model. A Gaussian mixture model attempts to find a mixture representation of the probability distribution of a multidimensional Gaussian model, thereby fitting a data distribution of arbitrary shape, and it uses the EM algorithm (Expectation-Maximum) for iteration. Specifically, the steps can be to first select the location and initial shape, then loop until convergence. The E step: For each point, calculate the probability generated by each component within the Gaussian mixture model for each point. The M step: Adjust the model parameters to maximize the probability that the model generates these parameters. This ensures that the parameters in this process will always converge to a local optimum. This local optimum is the fitting core and corresponding range of the base station cluster. Therefore, the grouping of base station sites can be determined based on the local optimal solution, i.e., base station grouping. Here, one point corresponds to one base station.

[0082] In this embodiment, when it is determined that there are multiple base stations where the battery under test is located, cluster analysis is performed based on the wireless coverage of each base station to determine the base station grouping, thereby ensuring the accuracy and effectiveness of the obtained base station grouping.

[0083] Specifically, the steps for determining base station groups based on cluster analysis results include:

[0084] Step g: Determine the interconnected base stations based on the clustering analysis results, construct a base station cluster based on the interconnected base stations, and determine the center point of the base station cluster;

[0085] In this embodiment, associated base stations can be identified first based on the clustering analysis results. For example, if the wireless coverage areas of base station A and base station B overlap, then base station A and base station B are considered associated base stations. Then, base station clusters are constructed based on these associated base stations, and there can be one or more clusters. Finally, the center point of each base station cluster is determined using Gaussian clustering analysis.

[0086] Step h: Determine the range of the base station cluster based on the latitude and longitude of each associated base station and the center point, and group all base stations corresponding to the range of the base station cluster as base station groups.

[0087] The latitude and longitude coordinates in the basic antenna data for each associated base station are converted into x-axis and y-axis data, and the wireless coverage range is used as an inherent parameter for each site. At this point, the parameters of any two associated base stations can be selected to describe the shape of the base station cluster. Then, the range of the base station cluster is determined based on the location and shape of the center point, and all base stations within the range of the cluster are grouped as a single base station group.

[0088] In this embodiment, by identifying associated base stations and constructing a base station cluster based on the associated base stations, and then determining the range of the base station cluster based on the center point of the base station cluster and the latitude and longitude of the associated base stations, and determining the base station grouping based on the range of the base station cluster, the accuracy and effectiveness of the obtained base station grouping are ensured.

[0089] Further, the step of measuring the site batteries within the base station group includes:

[0090] Step k: Traverse all base station sites within the base station group and detect all battery elements of the site battery in the base station site;

[0091] In this embodiment, after determining the base station group, logical judgments for battery testing can be performed on the site elements (such as the battery elements of a site battery) within the base station group. Therefore, all base station sites within the base station group can be traversed first, and all battery elements of the site batteries in the base station sites can be detected to determine whether there are any anomalies.

[0092] In step m, if there is an abnormal battery element, skip the base station corresponding to the abnormal battery element and proceed to the detection of all battery elements in the subsequent base station batteries until all base station detections are completed.

[0093] When an abnormal battery element is detected, such as a battery semaphore, and an alarm is detected, the abnormal battery element is confirmed. Alarms could include battery overcharge / overcurrent, battery undervoltage / overcurrent, or battery overvoltage. The loop is exited, and the element is marked for future testing. This process continues until all battery elements at subsequent base station sites are tested.

[0094] In this embodiment, by traversing the base station sites within the base station group and finally determining that there is an abnormal battery element in the base station site, the base station site corresponding to the abnormal battery element is skipped, and the detection of subsequent battery elements is carried out until all base station sites are detected, thereby ensuring the effective remote measurement of base station batteries.

[0095] In addition, refer to Figure 3 This invention also provides a remote measurement device for base station batteries, comprising:

[0096] The acquisition module A10 is used to acquire the basic antenna data of the base station where the battery under test is located, and to calculate the wireless coverage range based on the basic antenna data.

[0097] Clustering analysis module A20 is used to perform clustering analysis on the base stations according to the wireless coverage area to obtain base station groups;

[0098] Measurement module A30 is used to measure the site batteries within the base station group and obtain measurement results.

[0099] Optionally, module A10 is used for:

[0100] Determine the antenna azimuth and vertical plane 3dB bandwidth in the antenna basic data, and calculate the ratio of the vertical plane 3dB bandwidth to the preset value;

[0101] Calculate the first difference between the antenna azimuth angle and the proportional value, and use the first difference as the antenna radiation radius. Calculate the wireless coverage area based on the antenna radiation radius.

[0102] Optionally, module A10 is used for:

[0103] Determine the signal obstruction range in the antenna basic data, and calculate the antenna radiation area corresponding to the antenna radiation radius;

[0104] Calculate the second difference between the antenna radiation area and the signal blocking range, and use the second difference as the wireless coverage range.

[0105] Optionally, module A10 is used for:

[0106] Determine the mechanical downtilt angle and electronic downtilt angle in the antenna basic data, and calculate the sum of the mechanical downtilt angle and the electronic downtilt angle, using the sum as the antenna azimuth angle.

[0107] Optionally, the cluster analysis module A20 is used for:

[0108] If there are multiple base stations where the battery under test is located, the wireless coverage area corresponding to each base station is determined, cluster analysis is performed based on each wireless coverage area, and base station grouping is determined based on the cluster analysis results.

[0109] Optionally, the cluster analysis module A20 is used for:

[0110] Based on the cluster analysis results, related base stations are identified, base station clusters are constructed based on the related base stations, and the center point of the base station cluster is determined.

[0111] The range of the base station cluster is determined based on the latitude and longitude of each associated base station and the center point, and all base stations corresponding to the range of the base station cluster are grouped as base stations.

[0112] Optionally, the measurement module A30 is used for:

[0113] Traverse all base station sites within the base station group and detect all battery elements of the site battery in the base station site;

[0114] If an abnormal battery element is found, the base station corresponding to the abnormal battery element is skipped, and the detection of all battery elements in the subsequent base station batteries is performed until the detection of all base station batteries is completed.

[0115] The steps for implementing each functional module of the base station battery remote measurement device can be referred to in the various embodiments of the base station battery remote measurement method of the present invention, and will not be repeated here.

[0116] Furthermore, the present invention also provides a remote measurement device for base station batteries, the remote measurement device for base station batteries comprising: a memory, a processor, and a remote measurement program for base station batteries stored in the memory; the processor is used to execute the remote measurement program for base station batteries to implement the steps of the above embodiments of the remote measurement method for base station batteries.

[0117] The present invention also provides a computer storage medium, which may be a computer-readable storage medium storing one or more programs, which may be executed by one or more processors to implement the steps of the above embodiments of the remote measurement method for base station batteries.

[0118] The specific implementation of the computer-readable storage medium of the present invention is basically the same as the embodiments of the remote measurement method for base station batteries described above, and will not be repeated here.

[0119] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0120] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0121] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0122] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for remotely measuring base station batteries, characterized in that, The remote measurement method for base station batteries includes the following steps: Obtain the basic antenna data of the base station where the battery under test is located, and calculate the wireless coverage range based on the basic antenna data. The basic antenna data includes the base station latitude and longitude, antenna height, antenna azimuth angle, and vertical plane 3dB bandwidth. Cluster analysis is performed on the base stations based on the wireless coverage area to obtain base station groups. Base stations in the same base station group are covered by the antennas of their neighboring cell base stations to ensure that the remote batch battery charging and discharging tests can be started at any time by base stations in the same group, and that the service provided by the communication operator is not affected in the absence of backup power. The site batteries within the base station group were measured, and the measurement results were obtained.

2. The remote measurement method for base station batteries as described in claim 1, characterized in that, The step of calculating the wireless coverage range based on the antenna basic data includes: Determine the antenna azimuth and vertical plane 3dB bandwidth in the antenna basic data, and calculate the ratio of the vertical plane 3dB bandwidth to the preset value; Calculate the first difference between the antenna azimuth angle and the proportional value, and use the first difference as the antenna radiation radius. Calculate the wireless coverage area based on the antenna radiation radius.

3. The remote measurement method for base station batteries as described in claim 2, characterized in that, The step of calculating the wireless coverage range based on the antenna radiation radius includes: Determine the signal obstruction range in the antenna basic data, and calculate the antenna radiation area corresponding to the antenna radiation radius; Calculate the second difference between the antenna radiation area and the signal blocking range, and use the second difference as the wireless coverage range.

4. The remote measurement method for base station batteries as described in claim 2, characterized in that, The step of determining the antenna azimuth angle in the antenna basic data includes: Determine the mechanical downtilt angle and electronic downtilt angle in the antenna basic data, and calculate the sum of the mechanical downtilt angle and the electronic downtilt angle, using the sum as the antenna azimuth angle.

5. The remote measurement method for base station batteries as described in claim 1, characterized in that, The step of performing cluster analysis on the base stations based on the wireless coverage area to obtain base station groups includes: If there are multiple base stations where the battery under test is located, the wireless coverage area corresponding to each base station is determined, cluster analysis is performed based on each wireless coverage area, and base station grouping is determined based on the cluster analysis results.

6. The remote measurement method for base station batteries as described in claim 5, characterized in that, The step of determining base station groups based on cluster analysis results includes: Based on the cluster analysis results, related base stations are identified, base station clusters are constructed based on the related base stations, and the center point of the base station cluster is determined. The range of the base station cluster is determined based on the latitude and longitude of each associated base station and the center point, and all base stations corresponding to the range of the base station cluster are grouped as base stations.

7. The remote measurement method for base station batteries as described in claim 1, characterized in that, The step of measuring the site batteries within the base station group includes: Traverse all base station sites within the base station group and detect all battery elements of the site battery in the base station site; If an abnormal battery element is found, the base station corresponding to the abnormal battery element is skipped, and the detection of all battery elements in the subsequent base station batteries is performed until the detection of all base station batteries is completed.

8. A remote measurement device for base station batteries, characterized in that, The base station battery remote measurement device includes: The acquisition module is used to acquire the basic antenna data of the base station where the battery under test is located, and calculate the wireless coverage range based on the basic antenna data. The basic antenna data includes the base station latitude and longitude, antenna height, antenna azimuth angle and vertical plane 3dB bandwidth. The clustering analysis module is used to perform clustering analysis on the base stations according to the wireless coverage range to obtain base station groups. Base stations in the same base station group are covered by the antennas of their neighboring cell base stations to ensure that the remote batch battery charging and discharging tests can be started at any time by base stations in the same group, and that the service provided by the communication operator is not affected in the absence of backup power. The measurement module is used to measure the site batteries within the base station group and obtain the measurement results.

9. A remote measurement device for base station batteries, characterized in that, The base station battery remote measurement device includes: a memory, a processor, and a base station battery remote measurement program stored in the memory and executable on the processor. When the base station battery remote measurement program is executed by the processor, it implements the steps of the base station battery remote measurement method as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that, The computer storage medium stores a remote measurement program for base station batteries, which, when executed by a processor, implements the steps of the remote measurement method for base station batteries as described in any one of claims 1 to 7.

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