A method and system for intelligent inspection management of communication base stations

Abstract

The application provides a kind of intelligent inspection management method and system for communication base station, belongs to the technical field of inspection management, specifically includes: with the similar situation of the access data of different target communication base station and different reference communication base station and the similar situation of the access data between each other, determine the active switching control processing strategy of the UPS of target communication base station, according to the active switching control processing data of the UPS of different target communication base station, determine the inspection management strategy of the UPS of reference communication base station, improve the reliability of monitoring analysis of the running state of UPS.

Description

Technical Field

[0001] This invention belongs to the field of inspection management technology, and in particular relates to a method and system for intelligent inspection management of communication base stations. Background Technology

[0002] To achieve the inspection and management of communication base stations, the following technical problems exist: Communication base stations with the same UPS model located in the same area have basically the same external operating environment. Therefore, the normal operation data of the UPS of any communication base station under the same access traffic can accurately reflect whether there are any deviations in the operation data of the UPS of other communication base stations under the same access traffic. Therefore, how to determine the operation and maintenance management strategy of base stations with high UPS intervention frequency based on the intervention data of the base station's UPS, and in some cases, proactively intervene in the UPS of base stations with high intervention frequency, so as to more accurately and comprehensively reflect the operating status of the base station's UPS, has become an urgent technical problem to be solved.

[0003] Therefore, there is an urgent need for a method and system for intelligent inspection and management of communication base stations. Summary of the Invention

[0004] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a method for intelligent inspection and management of communication base stations, which includes: S1 determines the UPS intervention data of the communication base station based on the power outage data of the communication base station. When the configuration data of the reference communication base station in the communication base station meets the requirements based on the intervention data, the communication base station that can be inspected and managed using a preset strategy is determined according to the similarity of the access data of the communication base station and the reference communication base station in different time periods, and is used as the target communication base station. S2 determines the active switching control processing strategy of the UPS of the target communication base station based on the similarity of access data between different target communication base stations and different reference communication base stations, as well as the similarity of access data between them. S3 determines the inspection and management strategy for the UPS of the reference communication base station based on the active switching control processing data of the UPS of different target communication base stations.

[0005] The beneficial effects of this invention are as follows: By considering the similarity of access data between different target communication base stations and different reference communication base stations, as well as the similarity of access data among themselves, the active switching control processing strategy for the UPS of the target communication base station is determined. This approach not only considers the probability that the UPS operating state of the target communication base station is consistent with that of the reference communication base station due to the similarity of access data, thus enabling the assessment of the matching degree of UPS evaluation and analysis processing, but also takes into account the reference value of the UPS operating data for other target communication base stations when the target communication base station is actively switched. This approach determines the active switching control processing strategy for the UPS of the target communication base station from the perspectives of reference value and matching degree. This not only ensures the reliability of the monitoring and processing of the target communication base station, but also avoids the technical problem of poor operation stability of the target communication base station caused by frequent active switching control.

[0006] Based on the active switching control processing data of UPS at different target communication base stations, the inspection and management strategy of UPS at the baseline communication base station is determined. Based on the active switching control data, the reliability of monitoring the operating status of UPS at target communication base stations in different access traffic ranges is evaluated. Then, based on the monitoring reliability, the target communication base station that needs to be actively switched to within the access traffic range and the switching control scheme are determined, thereby improving the reliability of UPS monitoring and processing under different access traffic conditions.

[0007] Furthermore, the power outage data of the communication base station is determined based on the parsing results of the power outage log of the communication base station.

[0008] Furthermore, the intervention data of the UPS of the communication base station includes the number of historical intervention processes of the UPS of the communication base station and the intervention duration of different historical intervention processes.

[0009] Furthermore, it is determined that the constituent data of the reference communication base station in the communication base station meets the requirements, specifically including: The historical intervention process of the UPS of the communication base station is determined based on the intervention data of the UPS of the communication base station. Based on the communication base station, the reference communication base station among the communication base stations is determined according to the interval between the historical intervention processes of adjacent UPS. Based on the reference communication base station data, determine whether the constituent data of the reference communication base station in the communication base station meets the requirements.

[0010] Furthermore, the method for determining the inspection and management strategy of the UPS of the reference communication base station is as follows: Based on the active switching control processing data of the UPS of the target communication base station, determine the communication base station that has not had a UPS intervention process in the most recent unit of time, and classify it as a poorly monitored base station. Based on the access data of the poorly monitored base stations in different time periods, the time periods of the poorly monitored base stations are divided into different time period groups; Based on the time period composition data of different time period groups of poorly monitored base stations, the inspection and management strategy of the UPS of the benchmark communication base station is determined.

[0011] It should be noted that the unit duration is longer than the second preset time period, and the second preset time period is longer than the preset time period.

[0012] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for intelligent inspection and management of communication base stations when running the computer program.

[0013] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0014] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0015] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0016] Figure 1 This is a flowchart of a method for intelligent inspection and management of communication base stations; Figure 2 This is a flowchart that determines whether the constituent data of the reference communication base station in the communication base station meets the requirements; Figure 3 This is a flowchart of the method for determining the target communication base station. Detailed Implementation

[0017] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0018] Example 1 like Figure 1 As shown, this application provides a method for intelligent inspection and management of communication base stations, specifically including: S1 determines the UPS intervention data of the communication base station based on the power outage data of the communication base station. When the configuration data of the reference communication base station in the communication base station meets the requirements based on the intervention data, the communication base station that can be inspected and managed using a preset strategy is determined according to the similarity of the access data of the communication base station and the reference communication base station in different time periods, and is used as the target communication base station. S2 determines the active switching control processing strategy of the UPS of the target communication base station based on the similarity of access data between different target communication base stations and different reference communication base stations, as well as the similarity of access data between them. S3 determines the inspection and management strategy for the UPS of the reference communication base station based on the active switching control processing data of the UPS of different target communication base stations.

[0019] Furthermore, the power outage data of the communication base station is determined based on the parsing results of the power outage log of the communication base station.

[0020] Furthermore, the intervention data of the UPS of the communication base station includes the number of historical intervention processes of the UPS of the communication base station and the intervention duration of different historical intervention processes.

[0021] It should be noted that the UPS models of the communication base stations are the same and the operating ambient temperature is the same.

[0022] Specifically, such as Figure 2 As shown, the configuration data of the reference communication base station in the communication base station meets the requirements, specifically including: Communication base station: refers to the wireless signal transceiver station in a mobile communication network, which is usually equipped with an uninterruptible power supply (UPS). UPS intervention: refers to the process by which the communication base station is maintained by the discharge of the UPS battery pack when the mains power is interrupted or abnormal.

[0023] Historical intervention process: Recorded information such as the start and end times of UPS intervention events that have occurred.

[0024] Reference communication base station: refers to a base station with a short interval between two consecutive UPS interventions. This type of base station usually indicates that the mains power in its area is unstable and faults are frequent, thus requiring frequent UPS use. Its normal operation data can accurately reflect the operating status of the same UPS model.

[0025] The composition data of the benchmark communication base station: mainly refers to the number and proportion of benchmark communication base stations in the analyzed base station group.

[0026] The historical intervention process of the UPS of the communication base station is determined based on the intervention data of the UPS of the communication base station. Based on the communication base station, the reference communication base station among the communication base stations is determined according to the interval between the historical intervention processes of adjacent UPS. Based on the reference communication base station data, determine whether the constituent data of the reference communication base station in the communication base station meets the requirements.

[0027] Specifically, the reference communication base station in the communication base station is a communication base station whose average interval between the historical intervention processes of adjacent UPS is less than a preset interval threshold.

[0028] It should be noted that, based on the reference communication base station data, determining whether the constituent data of the reference communication base station in the communication base station meets the requirements specifically includes: Based on the composition data of the reference communication base stations in the communication base stations, determine the proportion of the number of reference communication base stations in the communication base stations; Based on the stated proportion, determine whether the composition data of the reference communication base station in the communication base station meets the requirements.

[0029] In one possible embodiment, the first step is to identify the reference communication base station and calculate the average UPS intervention interval for each base station: For each base station, find the interval between all two consecutive UPS interventions within the past 3 months and calculate their average value.

[0030] Example: Base station BS050: 5 interventions occurred, with intervals of [100h, 110h, 130h, 100h]. The average interval is 110 hours. Therefore, 110h < 100h, and BS050 is determined to be the reference communication base station.

[0031] Base station BS120: Two interventions occurred, with an interval of [200h]. Average interval = 200 hours. Determination: 200h is not less than 100h. Therefore, BS120 is not the reference communication base station.

[0032] Base station BS180: No UPS intervention has occurred in the past 3 months, and it is not a base communication base station.

[0033] Statistical results: After calculating all 200 base stations, a total of 40 benchmark communication base stations were identified.

[0034] Step 2: Calculate the percentage of the baseline communication base stations. Percentage = Number of baseline communication base stations / Total number of base stations = 40 / 200 = 20%.

[0035] Step 3: Determine whether the constituent data meets the requirements. If the quantity ratio (20%) is greater than the preset quantity ratio threshold (15%), then the constituent data of the reference communication base station in the communication base station in this area meets the requirements.

[0036] It is understood that, based on the aforementioned proportion, determining whether the composition data of the reference communication base stations in the communication base stations meets the requirements specifically includes: When the proportion of the quantity is greater than the preset proportion threshold, the operational reliability of other communication base stations can be evaluated based on the discharge data of the reference communication base station in the UPS. Therefore, it is determined that the composition data of the reference communication base station in the communication base station meets the requirements.

[0037] Specifically, such as Figure 3 As shown, the method for determining the target communication base station is as follows: Target communication base station: refers to base stations whose communication traffic patterns are highly similar to those of the baseline communication base station under normal mains power conditions. Core objective: to utilize this similarity to achieve "cross-validation" anomaly detection. Since the target base station and the baseline base station have similar traffic patterns, it can be inferred that their internal power consumption and equipment load should also be similar under similar traffic conditions. When the baseline base station switches to UPS power supply due to a mains power failure, we can record its UPS discharge data (voltage, current, battery temperature, etc.) under various traffic loads, which constitutes a set of "baseline data under known abnormal operating conditions".

[0038] When the target base station also experiences a power outage and switches to UPS in the future, we can compare its UPS access data with the baseline UPS data recorded by the reference base station during similar communication traffic periods. If the data are highly consistent, it indicates that the target base station's UPS system is normal; if there is a significant deviation, it can immediately identify potential anomalies in the target base station's UPS system (such as battery aging, module failure, etc.).

[0039] Similar access data time period: The time period during which the access traffic deviation rate between the target base station and the reference base station is less than a preset threshold (e.g., less than 3%) within the same time period of the same day (e.g., 10:00-10:30).

[0040] Access data similarity dates: Dates in a day where the number of access data similarity time periods exceeds a preset threshold.

[0041] Objective: To select the most suitable base station for reliability model verification from among numerous non-benchmark communication base stations, i.e., the target communication base station.

[0042] Core logic: An ideal verification object should meet two conditions: Stability condition (internal consistency): The base station's own communication traffic must be stable. This is a prerequisite for achieving "the same internal state under the same external conditions". If the base station's own traffic fluctuates drastically, then even if the external conditions (time, weather) are the same during two power outages, its internal load will be vastly different, making it impossible to effectively compare UPS data.

[0043] Similarity condition (external consistency): The target base station must have a highly similar communication traffic pattern to a reference base station under normal mains power. This is a prerequisite for ensuring comparable device responses after triggering the same abnormal event (power outage) under the same internal load. Because similar traffic means similar power consumption loads of devices (main equipment, RF units, etc.), thus making their discharge curves, temperature rise, and other parameters comparable when switching to a UPS.

[0044] Based on the similarity of access data between the communication base station and the reference communication base station in different time periods, the similarity time periods of access data between the communication base station and the reference communication base station on different dates are determined. Based on similar access data from different dates, the dates of similar access data between the communication base station and the reference communication base station are determined. Based on the baseline communication base station data and the changes in access data for similar dates on different dates, it is determined whether the communication base station is the target communication base station.

[0045] It should be noted that the similar access data time period refers to the time period within the same time period on the date in which the deviation rate of the access traffic between the communication base station and the reference communication base station is less than a preset deviation rate threshold.

[0046] Specifically, the access data similarity date is a date in which the number of access data similarity periods between the communication base station and the reference communication base station is greater than a preset time period number threshold (e.g., greater than 10).

[0047] It should be noted that the changes in the access data of the communication base station are determined based on the absolute value of the deviation rate of the access traffic of the communication base station between different dates.

[0048] Specifically, based on the baseline communication base station data and the changes in access data for similar dates on different dates, it is determined whether the communication base station is the target communication base station. This includes: Based on the changes in the access data of the communication base station, the absolute value of the deviation rate of the access traffic of the communication base station between different dates is determined and used as the absolute value of the deviation rate. Case 1: If the average absolute value of the deviation rate of the communication base station between different dates is greater than the preset deviation rate threshold, it is determined that the change in the access data of the communication base station is relatively serious. Therefore, there may be a situation where the access data of the reference communication base station during the UPS intervention period is inconsistent with the access data of the communication base station. Therefore, it is determined that the communication base station does not belong to the target communication base station. Scenario: Candidate base station BS-1 is deployed next to a large event venue, and traffic fluctuates drastically with the event / event.

[0049] Data analysis: Calculate the absolute value of the daily total traffic deviation rate of BS-1 over the past 30 days. The average value is 18%. Determine: 18% > 8%. Yes, condition 1 is met (average deviation rate > preset threshold). BS-1 does not belong to the target communication base station.

[0050] Engineering Explanation: BS-1's own service is extremely unstable, and its load is unpredictable. Even if its traffic happens to be similar to Ref-1 on a certain day, its UPS data is not valuable for reference due to the huge randomness of the load and cannot be used for reliable cross-comparison. That is, the access data may be inconsistent with the reference communication base station during a power outage.

[0051] Case 2: If the average absolute value of the deviation rate of the communication base station between different dates is greater than the preset deviation rate threshold, and if the communication base station does not have access data on similar dates, then it is determined that the communication base station does not belong to the target communication base station. Case 2 Example: The traffic fluctuates greatly and there are no similar dates to the base station. Scenario: Candidate base station BS-2 is located in an industrial area, and its traffic is greatly affected by factory shifts. Moreover, its business model is completely different from that of Ref-1, which is located in a residential area.

[0052] Data Analysis: Self-fluctuation: The average absolute value of its daily traffic deviation rate is 15% (> 8%). Similarity check: The daily traffic of BS-2 and Ref-1 is compared for 30 days. It is found that the number of similar time periods on any day does not meet the requirements (i.e., the number of similar dates for access data is 0).

[0053] Decision-making process: If condition 1 is met (large fluctuations), proceed to condition 2 branch, check that there are no similar dates in the access data, and conclude that BS-2 does not belong to the target communication base station.

[0054] BS-2 lacks both internal consistency (it is inherently unstable) and external consistency (it is not similar to a healthy baseline), making it the worst candidate and incomparable.

[0055] Case 3: If the communication base station has access data with similar dates, obtain the percentage of similar dates in the date range. If the percentage of similar dates in the date range is less than a preset threshold, then the communication base station is determined not to be the target communication base station. Scenario: Candidate base station BS-3 is located in a university town. Its traffic patterns are somewhat similar to those of Ref-1 (residential area) (e.g., at night), but the daytime patterns are very different.

[0056] Data Analysis: Own Fluctuations: Average daily traffic deviation rate = 6% (< 8%). Stable, passed. Similarity Analysis: Out of 30 days, only 12 days met the target for the number of traffic periods similar to Ref-1, with a similar date percentage of 12 / 30 = 40%.

[0057] Decision-making process: Condition 1 is not met (small fluctuations), check condition 3: similar dates account for 40% < 60%, yes, conclusion: BS-3 does not belong to the target communication base station.

[0058] Engineering Explanation: While BS-3 itself is stable, it is only similar to Ref-1 40% of the time. This intermittent similarity is insufficient to establish a robust "flow-load" mapping model. When BS-3 loses power, its flow pattern at that time is likely to fall within the 60% range that is dissimilar to Ref-1, resulting in the absence of a usable healthy baseline for comparison, and the model becomes invalid.

[0059] Case 4: If the proportion of similar access data dates of the communication base station in the date is not less than the preset threshold for the proportion of similar access data dates, obtain the reference communication base stations that belong to the access data similar dates of the communication base station in different dates. If the number of reference communication base stations that belong to the access data similar dates of the communication base station in different dates is greater than the preset threshold for the number of reference base stations, then determine that the communication base station belongs to the target communication base station. Case 4 Example: Highly stable with stable controls every day. Scenario: Candidate base station BS-4 and base stations Ref-1 and Ref-2 are located in a mature residential community with highly consistent user groups and routines.

[0060] Data Analysis: Self-fluctuation: Average daily flow deviation rate = 4% (< 8%). Similarity Analysis: Out of 30 days, the flow was highly similar to Ref-1 and Ref-2 for 30 days. The percentage of similar days = 28 / 30 ≈ 93.3% (> 60%). On each of these 30 similar days, there were 2 base stations similar to BS-4 (i.e., number of similar base stations = 2).

[0061] Decision-making process: Case 1 is not met, Case 3 is not met (high percentage), proceed to Case 4: check if the number of similar base stations is ≥2 per day, and conclude that BS-4 belongs to the target communication base station.

[0062] Case 5: If the number of reference communication base stations with access data similar to the communication base station on different dates is not uniformly greater than the preset threshold for the number of reference base stations, the average of the number of reference communication base stations with access data similar to the communication base station on different dates and the product of the preset proportional factor, and the average of the proportion of the number of access data similar dates of the communication base station on those dates, are used as a reference reliability coefficient. When the reference reliability coefficient is greater than the preset reliability coefficient threshold, the communication base station is determined to belong to the target communication base station.

[0063] Specifically, the method for determining the active handover control processing strategy of the UPS of the target communication base station is as follows: Active switching control: This refers to actively switching the base station's load to UPS power for a period of time when the mains power is normal, in order to test the actual load-carrying capacity and health status of the UPS system (especially the battery).

[0064] Access data similarity coefficient: refers to the proportion of days in which the access data of the target base station is similar to that of another base station (base station or other target station) out of the total number of analysis days.

[0065] Preset similarity coefficient threshold: The critical value for determining whether the traffic patterns of two base stations are "highly similar", for example, 70%.

[0066] Preset time period: Actively switch the execution cycle of the test, such as once per quarter. Second preset time period: A time window to determine whether there is a lack of real data recently, such as the last 180 days.

[0067] Based on the similarity of access data between different target communication base stations and different reference communication base stations, the date of similarity of access data between the target communication base station and different reference communication base stations is determined; Based on the similarity of access data between the target communication base station and other target communication base stations, determine the date of similarity of access data between the target communication base station and other target communication base stations; Based on the access data similarity dates between the target communication base station and different reference communication base stations, as well as the access data similarity dates between the target communication base station and other target communication base stations, the active switching control processing strategy of the UPS of the target communication base station is determined.

[0068] It is understood that, based on the similarity dates of access data between the target communication base station and different reference communication base stations, as well as the similarity dates of access data between the target communication base station and other target communication base stations, the active switching control processing strategy of the UPS of the target communication base station is determined, specifically including: Based on the similarity dates of access data between the target communication base station and different reference communication base stations, the proportion of the access data similarity dates with the reference communication base stations among all dates is determined, and this proportion is used as the access data similarity coefficient with the reference communication base station. Scenario 1: If the target communication base station has multiple reference communication base stations with access data similarity coefficients greater than the preset similarity coefficient threshold, then since the UPS models of different base stations are the same, the UPS operation status can be evaluated by using the UPS intervention data of the reference communication base station under power failure conditions. Therefore, the active switching control processing strategy of the UPS of the target communication base station is determined to be no active switching control required.

[0069] Regarding the strategy determination for TS-A, Case 1 is determined as follows: the similarity coefficients between TS-A and Ref-1 (85%) and Ref-2 (88%) are both greater than 70%, indicating the existence of multiple highly similar reference stations. Decision: Case 1 is satisfied. Therefore, the UPS active switching control processing strategy for TS-A is: no active switching control is required.

[0070] TS-A is highly similar to two healthy baseline stations. This means that if either of these baseline stations experiences a mains power outage, the resulting UPS data can serve as a perfect health baseline for TS-A. The system has dual data source protection and can continuously monitor the UPS health of TS-A through cross-validation, thus eliminating the need for risky proactive switchover testing.

[0071] Scenario 2: If the target communication base station does not have multiple reference communication base stations with access data similarity coefficients greater than the preset similarity coefficient threshold, then the active switching control processing strategy of the UPS of the target communication base station is determined to be active switching control according to a preset time period, that is, periodically switching the load of the target communication base station to the UPS system, thereby determining whether the UPS is reliable in operation.

[0072] For the TS-C strategy determination, scenario 1 is determined as follows: TS-C does not have a reference station with a similarity coefficient > 70%. Scenario 2 is then determined as follows: TS-C does not have any highly similar reference stations. Decision: Scenario 2 is satisfied. Therefore, the UPS active switching control processing strategy for TS-C is: to perform active switching control according to a preset time period (e.g., quarterly).

[0073] TS-C lacks a usable "mirror" health baseline, resulting in low reliability of its cross-validation. To ensure its UPS is available during a real power outage, its status must be regularly verified through live-fire exercises (active switching).

[0074] Case 3: If there is a reference communication base station whose access data similarity coefficient is greater than the preset similarity coefficient, the access data similarity coefficient between the target communication base station and other target communication base stations is determined based on the access data similarity dates between the target communication base station and other target communication base stations. If the average value of the access data similarity coefficient between the target communication base station and other target communication base stations is not greater than the preset coefficient threshold, then the active switching control processing strategy of the UPS of the target communication base station is determined to be no active switching control required.

[0075] Scenario 4: If the average access data similarity coefficient between the target communication base station and other target communication base stations is greater than a preset coefficient threshold, and if there are other target communication base stations with access data similarity coefficients greater than the preset similarity coefficient, then the active switching control strategy for the UPS of the target communication base station is determined to be active switching control according to a preset time period, that is, periodically switching the load of the target communication base station to the UPS system to determine whether the UPS is reliable. If there are no other target communication base stations with access data similarity coefficients greater than the preset similarity coefficient, and when there is no UPS intervention data for the target communication base station in the most recent second preset time period, and the access data similarity coefficient between the reference communication base station with access data similarity coefficient greater than the preset similarity coefficient and the target communication base station is not greater than the preset similarity coefficient in the most recent second preset time period, then active switching control of the target communication base station is performed, that is, switching the load of the target communication base station to the UPS system to determine whether the UPS is reliable.

[0076] Regarding the strategy determination for TS-B, Case 1 is judged as follows: TS-B is only highly similar to Ref-1 (75%), and the condition of "multiple" is not met. Cases 3 / 4 are then judged as follows: TS-B has one highly similar reference station (Ref-1).

[0077] Calculate the mean similarity coefficient between target stations: TS-B and TS-A similarity coefficient: 20%, TS-B and TS-C similarity coefficient: 80%, mean = (20% + 80%) / 2 = 50%. Judgment: The mean (50%) is greater than the preset coefficient threshold (40%), satisfying condition 4. Therefore, the UPS active switching control processing strategy for TS-B is: determine that the active switching control processing strategy for the UPS of the target communication base station is to perform active switching control according to a preset time period, that is, periodically switch the load of the target communication base station to the UPS system, thereby determining whether the UPS operating status is reliable.

[0078] Engineering Explanation: Although TS-B has only one high-similarity reference station (Ref-1), its overall similarity pattern with other target stations is high (average 50%). Its UPS status mainly depends on cross-validation with Ref-1. At the same time, its power outage can also verify the discharge consistency of the UPS of multiple target communication base stations, providing sufficient real UPS data for comparison. Therefore, the active switching control processing strategy of the UPS of the target communication base station is determined to be active switching control according to a preset time period, that is, periodically switching the load of the target communication base station to the UPS system, thereby determining whether the UPS operating status is reliable.

[0079] Specifically, the method for determining the inspection and management strategy of the UPS of the reference communication base station is as follows: Based on the active switching control processing data of the UPS of the target communication base station, determine the communication base station that has not had a UPS intervention process in the most recent unit of time, and classify it as a poorly monitored base station. Based on the access data of the poorly monitored base stations in different time periods, the time periods of the poorly monitored base stations are divided into different time period groups; Based on the time period composition data of different time period groups of poorly monitored base stations, the inspection and management strategy of the UPS of the benchmark communication base station is determined.

[0080] We analyzed the hourly traffic ranges of these 10 poorly monitored base stations over the past 270 days, dividing all time periods into three groups: G1, G2, and G3. We assumed the following findings: For group G3 (high traffic): 8 of the 10 poorly monitored base stations had operated during the G3 time period, but the proportion of their total operating time during the G3 time period (i.e., the matching factor) was generally low, averaging only 15%.

[0081] For group G2 (medium traffic): all 10 base stations operated during the G2 period, with two special base stations (referred to as MS-A and MS-B) operating for more than 50% of their time in the G2 period. That is, their matching factor is >0.4.

[0082] For group G1 (low traffic): All base stations have G1 periods, but there are no obvious characteristics.

[0083] It should be noted that the unit duration is longer than the second preset time period, and the second preset time period is longer than the preset time period.

[0084] Furthermore, time periods when access traffic falls within the same traffic range are grouped into the same time period group.

[0085] Furthermore, based on the time period composition data within different time period groups of poorly monitored base stations, the UPS inspection and management strategy for the benchmark communication base station is determined, specifically including: Poorly monitored base stations: These refer to base stations that were selected as target communication base stations but did not experience any actual power outages or undergo scheduled active handover tests during an extremely long observation period (unit of time). Their UPS health status remains unknown for an extended period.

[0086] Unit duration: A very long observation period, longer than the second preset time period. For example, if the second preset period is 180 days, the unit duration could be 270 days (approximately 9 months).

[0087] Time-based groups: Divide the 24 hours of a day into different intervals based on the amount of incoming traffic (such as "low traffic", "medium traffic", "high traffic"), with each interval corresponding to a group.

[0088] The UPS inspection and management strategy for the baseline communication base station: a strategy for determining when to conduct proactive handover tests on the baseline station. The core idea is to conduct supplementary tests on the baseline station for traffic conditions where data is consistently lacking from "poorly monitored base stations".

[0089] Data range: Unit duration = 270 days. Analyze the status of all target communication base stations over the past 270 days.

[0090] Traffic range division: Group G1 (low traffic): [0, 500) connections / hour; Group G2 (medium traffic): [500, 2000) connections / hour; Group G3 (high traffic): [2000, +∞) connections / hour.

[0091] Preset thresholds: Preset deviation ratio threshold = 20%, threshold for the number of poorly monitored base stations = 3, preset matching factor threshold = 0.4, preset threshold for the number of matched base stations = 2.

[0092] Based on the proportion of the poorly monitored base stations in the target communication base station, the monitoring deviation ratio is determined, and it is determined whether the monitoring deviation ratio is greater than the preset deviation ratio threshold. If yes, proceed to the next step; otherwise, determine that the inspection management strategy of the UPS of the reference communication base station is no longer required to perform inspection. Step 1: Identify poorly monitored base stations. Among a total of 50 target communication base stations, check the records of the past 270 days: 40 base stations either experienced a real power outage or were scheduled for active handover tests. The remaining 10 base stations had neither a real power outage nor test records and were marked as poorly monitored base stations. The monitoring deviation ratio = 10 / 50 = 20%.

[0093] Using the time period composition data in the time period group of poorly monitored base stations, determine the number of poorly monitored base stations in the time period group, and determine whether the number of poorly monitored base stations in the time period group is greater than the threshold of the number of poorly monitored base stations. If so, determine that when the access data volume of any reference communication base station falls within the traffic range corresponding to the time period group, then perform active switching control of the reference communication base station, that is, switch the load of the reference communication base station to the UPS system, thereby determining whether the operating status of the UPS is reliable. If not, proceed to the next step. Monitoring deviation ratio judgment: 20% (greater than the threshold of 5%), proceed to the next step, judging the number of base stations in this group: the number of poorly monitored base stations with G3 = 8 > 3, the condition is met. Therefore, the strategy is determined: when the real-time access data volume of any reference communication base station falls into the high traffic range (G3), an active handover control test is performed on it.

[0094] High traffic volume represents the most stressful operating condition, resulting in the fastest battery discharge and making problems most likely to surface. However, the system detected a significant number (8) of target base stations lacking data under this condition for extended periods. This represents a broad, systemic monitoring blind spot. Therefore, an instruction was issued to the base stations: conduct tests immediately whenever you enter a high-load state. This allows for the rapid replenishment of the system's health baseline data under high load conditions.

[0095] The matching factor between the poorly monitored base station and the time period group is determined by the proportion of the total duration of the time period in the poorly monitored base station within the most recent unit time period. It is then determined whether there is a poorly monitored base station with a matching factor greater than a preset matching factor threshold. If so, proceed to the next step. If not, it is determined that when the access data volume of the reference communication base station falls within the traffic range corresponding to the time period group, no inspection management is required. Poorly monitored base stations with a matching factor greater than a preset matching factor threshold are designated as matching base stations. It is determined whether the number of matching base stations exceeds a preset matching base station number threshold. If so, when the access data volume of any reference communication base station falls within the traffic interval corresponding to the time period group, active switching control of the reference communication base station is performed, i.e., the load of the target communication base station is switched to the UPS system, thereby determining whether the UPS's operating status is reliable. If not, when the access data volume of a reference communication base station that has not undergone UPS intervention in the most recent unit of time falls within the traffic interval corresponding to the time period group, active switching control of the reference communication base station is performed, i.e., the load of the reference communication base station is switched to the UPS system, thereby determining whether the UPS's operating status is reliable.

[0096] Group G2 (Medium Traffic) Analysis: The monitoring deviation ratio has passed the judgment. Assuming that the number of base stations with G2 is no more than 2 or 3, proceed to the next step of the logic.

[0097] Calculate and determine the matching factor: It is found that the matching factors for two base stations, MS-A and MS-B, are > 0.4. The number of matching base stations is determined: the number of matching base stations is 2 and not greater than 2. Decision: the condition is met. Therefore, the strategy is determined: When the access data volume of the reference communication base station that has not experienced UPS intervention within the most recent unit time period (e.g., within 30 days) falls within the traffic interval corresponding to the time period group, active handover control is performed on the reference communication base station, that is, the load of the reference communication base station is switched to the UPS system, thereby determining whether the UPS's operating status is reliable.

[0098] Example 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for intelligent inspection and management of communication base stations when running the computer program.

[0099] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments for apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0100] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0101] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A method for intelligent inspection and management of communication base stations, characterized in that, Specifically, it includes: Based on the power outage data of the communication base station, the intervention data of the UPS of the communication base station is determined. Based on the intervention data, when the composition data of the reference communication base station in the communication base station meets the requirements, the target communication base station is determined from the communication base stations based on the similarity of the access data of the communication base station and the reference communication base station in different time periods. Based on the similarity of access data between different target communication base stations and different reference communication base stations, as well as the similarity of access data between target communication base stations and other target communication base stations, the active switching control processing strategy of the UPS of the target communication base station is determined. Based on the active switching control processing data of the UPS of different target communication base stations, the inspection and management strategy of the UPS of the reference communication base station is determined. The UPS intervention data of the communication base station includes the number of historical intervention processes of the UPS of the communication base station and the intervention duration of different historical intervention processes. The reference communication base station in the communication base station is a communication base station whose average interval between the historical intervention processes of adjacent UPS is less than a preset interval threshold. Using the composition data of the reference communication base stations in the communication base stations, where the composition data is the proportion of the number of reference communication base stations in the communication base stations, the proportion of the number of reference communication base stations in the communication base stations is determined. When the proportion of the number of reference communication base stations is greater than a preset proportion threshold, it is determined that the composition data of the reference communication base stations in the communication base stations meets the requirements. The access data refers to the access traffic of the communication base station at different time periods; The method for determining the target communication base station is as follows: Based on the similarity of access data between the communication base station and the reference communication base station in different time periods, the similarity time periods of access data between the communication base station and the reference communication base station on different dates are determined. Based on the similarity of access data in different dates, the similarity dates of access data between the communication base station and the reference communication base station are determined; The similar access data period refers to the period within the same time period of the date in which the deviation rate of the access traffic between the communication base station and the reference communication base station is less than a preset deviation rate threshold. The access data similarity date is defined as the date in which the number of access data similarity periods between the communication base station and the reference communication base station is greater than a preset threshold. Based on the baseline communication base station data and the changes in access data on different dates, it is determined whether the communication base station is the target communication base station. The target communication base station is a base station whose communication traffic pattern is similar to that of the baseline communication base station under normal mains power conditions. The variation of the access data of the communication base station is determined based on the absolute value of the deviation rate of the access traffic of the communication base station between different dates; The active handover control processing strategy includes periodically switching the load of the target communication base station to the UPS system without requiring active handover control. The active handover control processing data is used to determine whether the target communication base station has a UPS intervention process in the most recent unit of time, where the unit of time is longer than a preset time period.

2. The intelligent inspection and management method for communication base stations as described in claim 1, characterized in that, The power outage data of the communication base station is determined based on the parsing results of the power outage log of the communication base station.

3. The intelligent inspection and management method for communication base stations as described in claim 1, characterized in that, Determining that the configuration data of the reference communication base station in the communication base station meets the requirements specifically includes: The historical intervention process of the UPS of the communication base station is determined based on the intervention data of the UPS of the communication base station. The reference communication base station among the communication base stations is determined based on the interval between the historical intervention processes of the communication base station in adjacent UPSs. Based on the configuration data of the reference communication base station in the communication base station, determine whether the configuration data of the reference communication base station in the communication base station meets the requirements.

4. A computer system, comprising: A memory and processor connected to a communication link, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes a method for intelligent inspection and management of communication base stations as described in any one of claims 1-3.

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