Method, device and equipment for detecting temperature anomaly of active antenna unit and medium

Abstract

The present disclosure provides a temperature anomaly detection method and device of an active antenna unit, electronic equipment and medium, comprising: obtaining a first running temperature of a to-be-detected active antenna unit (AAU) in a preset area at a first time, wherein the to-be-detected AAU has a corresponding first temperature influencing factor; determining a target temperature threshold of the to-be-detected AAU according to the first temperature influencing factor; and determining a temperature anomaly degree of the to-be-detected AAU according to the to-be-detected temperature and the target temperature threshold. Thus, the target temperature threshold of the to-be-detected AAU in the presence of the first temperature influencing factor can be accurately determined in combination with the first temperature influencing factor of the to-be-detected AAU, so that the temperature anomaly of the to-be-detected AAU can be accurately detected before the to-be-detected AAU fails due to the temperature anomaly, thereby avoiding the occurrence of AAU running failure caused by the temperature anomaly.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of communication devices, and particularly relates to a temperature anomaly detection method and device of an active antenna unit, an electronic device and a medium. BACKGROUND

[0002] When the active antenna unit (AAU) works in an abnormally high temperature for a long time, the service life of the electrolytic capacitor inside the AAU is affected, and the actual temperature of the AAU is much higher than the design temperature of the AAU due to the influence of the installation mode of the AAU, which will cause the AAU to malfunction when the temperature of the AAU is too high.

[0003] In the related art, the temperature anomaly of the AAU can be identified only after the AAU malfunctions or the network management reports a high-temperature alarm.

[0004] In this way, the temperature anomaly of the AAU cannot be detected in advance. SUMMARY

[0005] The present disclosure provides a temperature anomaly detection method and device of an active antenna unit, an electronic device, a storage medium and a computer program product, which aims to at least solve the technical problems in the related art to some extent.

[0006] The first aspect of the present disclosure provides a temperature anomaly detection method of an active antenna unit, comprising: obtaining a first running temperature of a to-be-detected active antenna unit (AAU) in a preset area at a first time, wherein the to-be-detected AAU has a corresponding first temperature influencing factor; determining a target temperature threshold of the to-be-detected AAU according to the first temperature influencing factor; and determining a temperature anomaly degree of the to-be-detected AAU according to the to-be-detected temperature and the target temperature threshold.

[0007] The second aspect of the present disclosure provides a temperature anomaly detection device of an active antenna unit, comprising: an obtaining module, configured to obtain a first running temperature of a to-be-detected active antenna unit (AAU) in a preset area at a first time, wherein the to-be-detected AAU has a corresponding first temperature influencing factor; a first determining module, configured to determine a target temperature threshold of the to-be-detected AAU according to the first temperature influencing factor; and a second determining module, configured to determine a temperature anomaly degree of the to-be-detected AAU according to the to-be-detected temperature and the target temperature threshold.

[0008] The third aspect of the present disclosure provides an electronic device, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement a temperature anomaly detection method of an active antenna unit.

[0009] The fourth aspect of the present disclosure provides a computer readable storage medium, when the instructions in the computer readable storage medium are executed by the processor of the electronic device, the electronic device can execute the temperature anomaly detection method of the active antenna unit.

[0010] The fifth aspect of the present disclosure provides a computer program product, comprising a computer program, characterized in that the computer program is executed by the processor to execute the temperature anomaly detection method of the active antenna unit.

[0011] The temperature anomaly detection method, device, electronic device, storage medium and computer program product of the active antenna unit provided in the embodiments have at least the following beneficial effects: by obtaining the first running temperature of the to-be-detected active antenna unit AAU in the preset region at the first time, wherein the to-be-detected AAU has a corresponding first temperature influencing factor, and then determining the target temperature threshold of the to-be-detected AAU according to the first temperature influencing factor, and then determining the temperature anomaly degree of the to-be-detected AAU according to the to-be-detected temperature and the target temperature threshold, thereby, the target temperature threshold of the to-be-detected AAU in the presence of the first temperature influencing factor can be accurately determined in combination with the first temperature influencing factor of the to-be-detected AAU, so that the temperature anomaly of the to-be-detected AAU can be accurately detected before the to-be-detected AAU fails due to temperature anomaly, thereby avoiding the occurrence of AAU running failure caused by temperature anomaly. Further, the technical problem that the temperature anomaly of the AAU cannot be detected in advance in the prior art is solved.

[0012] The additional aspects and advantages of the present disclosure will be partially given in the following description, partially will become obvious from the following description, or will be understood by the practice of the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0013] The above and / or additional aspects and advantages of the present disclosure will become apparent and more readily understood from the following description, taken in conjunction with the accompanying drawings, in which:

[0014] Figure 1 is a flowchart of the temperature anomaly detection method of the active antenna unit according to the first embodiment of the present disclosure;

[0015] Figure 2 is a temperature comparison diagram of AAU in different installation modes according to an embodiment of the present disclosure;

[0016] Figure 3 is a flowchart of the temperature anomaly detection method of the active antenna unit according to the second embodiment of the present disclosure;

[0017] Figure 4 is a candidate temperature threshold distribution diagram according to an embodiment of the present disclosure;

[0018] Figure 5 is a block diagram of a temperature anomaly detection device of an active antenna unit according to the present disclosure;

[0019] Figure 6 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0020] Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings, in which like or similar elements are denoted by the same or similar reference numerals, and same or similar functions are denoted by the same or similar reference numerals throughout. The embodiments described below with reference to the drawings are exemplary and are for the purpose of explanation only, and are not to be understood as limiting the present disclosure. On the contrary, the embodiments of the present disclosure include all changes, modifications and equivalents falling within the spirit and scope of the appended claims.

[0021] It should be noted that the execution subject of the temperature anomaly detection method of the active antenna unit in the present embodiment can be a temperature anomaly detection device of the active antenna unit, which can be implemented in software and / or hardware, and the device can be configured in an electronic device, which can include but is not limited to a terminal, a server end, etc.

[0022] It should be noted that the acquisition, storage, use, processing, etc. of information in the technical solutions of the present disclosure comply with relevant provisions of national laws and regulations and do not violate public order and good customs.

[0023] Figure 1 is a flowchart of a temperature anomaly detection method of an active antenna unit according to the first embodiment of the present disclosure, as shown in Figure 1 The method comprises the following steps:

[0024] S101: Obtain a first running temperature of a to-be-detected active antenna unit AAU in a preset region at a first time, wherein the to-be-detected AAU has a corresponding first temperature influencing factor.

[0025] The preset region refers to a grid region of a pre-set county granularity division, for example, A district, B district, A township, B township, which is not limited.

[0026] The first time can refer to the current time. Since the temperature change is not an instantaneous change process, the first time is usually taken in a certain time period, and the specific time granularity (e.g., year, hour) of the time period is not limited.

[0027] The first running temperature refers to the average running temperature of the to-be-detected AAU at the first time, which is not limited.

[0028] Among them, the active antenna unit to be detected (AAU) refers to any AAU in the preset area whose temperature anomaly is currently to be detected.

[0029] The first temperature-influencing factor refers to factors that will cause changes in the temperature of the AAU under test, such as the AAU model, the AAU's installation location (indoor or outdoor), the AAU's operating time, the AAU's installation method, the AAU's solar radiation time, and the ambient temperature. There are no restrictions on these factors.

[0030] For example, see Figure 2 , Figure 2 This is a temperature comparison diagram of the AAU under different installation methods according to an embodiment of this disclosure. Specifically, it shows the operating temperature of the AAU inside different decorative covers after power-on, under sunny weather conditions with a temperature of 34-38 degrees Celsius. The results are as follows: Figure 2 The temperature comparison diagram shows that, without an outer cover, the AAU's average operating temperature is 56.2℃; with a fully enclosed square column installation, the average operating temperature is 81.5℃; with a grid square column installation, the average operating temperature is 73.5℃; and with a louvered square column installation, the average operating temperature is 58.2℃. Figure 2 It is known that poor ventilation will lead to insufficient heat dissipation during AAU operation, thereby causing the AAU temperature to rise.

[0031] In this embodiment of the disclosure, the first operating temperature of the AAU to be tested is obtained. A corresponding temperature sensor is installed in the AAU to be tested, and the first operating temperature of the AAU to be tested is collected based on the temperature sensor at a first time.

[0032] S102: Determine the target temperature threshold of the AAU to be tested based on the first temperature influencing factor.

[0033] The target temperature threshold is a reference temperature value predetermined by combining the temperature influencing factors of AAU.

[0034] It is understandable that since the operating temperature of the AAU is affected by temperature-related factors, the target temperature threshold of the AAU to be tested can be determined by referring to the first temperature-related factor, in the presence of the first temperature-related factor.

[0035] In this embodiment of the disclosure, since there are many factors affecting the temperature of the AAU to be tested, the temperature influencing factor that is not affected by human installation operations and has a significant impact on the operating temperature of the AAU to be tested (e.g., equipment model, installation location, etc.) can be determined as the first temperature influencing factor.

[0036] Therefore, in some embodiments, determining the target temperature threshold of the AAU to be detected based on the first temperature influencing factor can be achieved by obtaining the historical average operating temperature when other AAUs have not experienced operational failures in the presence of the first temperature influencing factor, and using the historical average operating temperature as the target temperature threshold of the AAU to be detected.

[0037] S103: Determine the degree of temperature anomaly of the AAU to be detected based on the temperature to be detected and the target temperature threshold.

[0038] The degree of temperature anomaly can be used to describe the temperature anomaly situation of the AAU under test. In other words, the degree of temperature anomaly of the AAU under test can be used as a reference to take corresponding measures in advance to prevent the AAU under test from malfunctioning due to temperature anomalies.

[0039] In this embodiment of the present disclosure, after determining the target temperature threshold of the AAU to be detected based on the first temperature influencing factor, the degree of temperature anomaly of the AAU to be detected can be determined based on the temperature to be detected and the target temperature threshold.

[0040] In some embodiments, the degree of temperature anomaly of the AAU to be detected is determined based on the temperature to be detected and the target temperature threshold. This can be done when the target temperature threshold is a single value, i.e., the target temperature threshold is the critical temperature value that the AAU to be detected can reach. The temperature to be detected and the target temperature threshold are compared, and if the temperature to be detected is greater than or equal to the target temperature threshold, it is determined that the AAU to be detected has a temperature anomaly.

[0041] In other embodiments, the degree of temperature anomaly of the AAU to be detected is determined based on the temperature to be detected and the target temperature threshold. Alternatively, if there are multiple target temperature thresholds for the AAU to be detected, a temperature anomaly level corresponding to each target temperature threshold can be determined (where a higher temperature anomaly level indicates a higher degree of temperature anomaly, meaning a greater likelihood of the AAU to be detected experiencing operational failure due to temperature anomaly). Then, the multiple target temperature thresholds can be sorted from smallest to largest, and the temperature to be detected can be compared sequentially with the smaller target temperature thresholds until the temperature to be detected is less than a certain target temperature threshold. At this point, the degree of temperature anomaly is determined to be the temperature anomaly level corresponding to that target temperature threshold. There are no restrictions on this method.

[0042] In this embodiment of the disclosure, a target temperature threshold corresponding to the AAU to be detected is determined by combining temperature influencing factors. This allows control over the impact of temperature influencing factors on the temperature threshold of the AAU to be detected, improving the reference value of the target temperature threshold under these temperature influencing factors. Consequently, the temperature anomaly detection process of the AAU to be detected can be standardized by combining the target temperature threshold, thereby improving the applicability of the temperature anomaly detection method for active antenna units.

[0043] In this embodiment of the disclosure, the first operating temperature of the active antenna unit (AAU) to be tested in the preset area at a first time is obtained. The AAU to be tested has a corresponding first temperature influencing factor. Based on the first temperature influencing factor, the target temperature threshold of the AAU to be tested is determined. Based on the temperature to be tested and the target temperature threshold, the degree of temperature anomaly of the AAU to be tested is determined. Thus, by combining the first temperature influencing factor of the AAU to be tested, the target temperature threshold of the AAU to be tested when the first temperature influencing factor exists can be accurately determined. This allows for accurate detection of temperature anomalies in the AAU to be tested before a failure occurs due to temperature anomalies, thereby avoiding the occurrence of AAU malfunctions caused by temperature anomalies.

[0044] Figure 3 This is a schematic flowchart illustrating a method for detecting temperature anomalies in an active antenna element according to a second embodiment of this disclosure, as shown below. Figure 3 As shown, the method includes:

[0045] S301: Obtain the first operating temperature of the active antenna unit (AAU) to be tested in the preset area at the first time, wherein the AAU to be tested has a corresponding first temperature influencing factor.

[0046] For a detailed description of S301, please refer to the above embodiments, which will not be repeated here.

[0047] S302: Obtain the second operating temperature of the initial active antenna unit (AAU) in the preset area at the second time, wherein each initial AAU has a corresponding second temperature influencing factor.

[0048] The second time is earlier than the first time. In order to control the impact of time factors on the temperature anomaly detection method, the second time is generally taken as the time adjacent to the first time, and the time granularity of the second time and the first time is the same.

[0049] The initial active antenna unit (AAU) refers to any AAU, including the AAU to be detected, within the preset area. There can be multiple initial AAUs, and there is no limit to the number.

[0050] The second operating temperature refers to the average operating temperature of the initial AAU in the first time period, and there are no restrictions on this.

[0051] The second temperature-influencing factor refers to factors that will cause changes in the initial AAU temperature, such as the AAU model, the AAU's installation location (indoor or outdoor), the AAU's operating time, the AAU's installation method, the AAU's solar radiation time, and the ambient atmospheric temperature, etc. There are no restrictions on these factors.

[0052] In this embodiment of the disclosure, the second operating temperature of the initial AAU is obtained. A corresponding temperature sensor is installed in the initial AAU, and the second operating temperature of the initial AAU is collected based on the temperature sensor at a second time.

[0053] S303: Based on the second operating temperature of the initial AAU and the second temperature influencing factor corresponding to the initial AAU, determine the candidate temperature threshold corresponding to the second temperature influencing factor.

[0054] It is understandable that, since there are many factors affecting the temperature of the initial AAU, the temperature factors that are determined to be unaffected by human installation operations and have a significant impact on the operating temperature of the initial AAU (e.g., equipment model, equipment rated power consumption, equipment installation location) can be used as the second temperature influencing factor.

[0055] In this embodiment of the disclosure, the second temperature influencing factor includes at least one of the following: first device model; first rated power consumption; first installation location.

[0056] Among them, the first equipment model refers to the equipment model of the initial AAU, the first rated power refers to the rated power of the initial AAU, the first installation location refers to the installation location of the initial AAU, and the first installation location refers to the geographical attributes of the base station coverage area, such as residential areas, urban villages, shopping malls, scenic areas, rural areas, highways, high-speed railways, etc., without any restrictions.

[0057] Among them, the candidate temperature threshold refers to the temperature threshold used for temperature detection of AAU when a second temperature influencing factor exists. The second temperature threshold can be determined based on the second operating temperature of the initial AAU when a second temperature influencing factor exists.

[0058] In this embodiment of the disclosure, before determining the candidate temperature threshold corresponding to the second temperature influencing factor based on the second operating temperature of the initial AAU and the second temperature influencing factor corresponding to the initial AAU, in order to avoid the impact of abnormality in the collected second operating temperature on the determination of the temperature threshold, the second operating temperature can be processed for outlier value and / or data correction.

[0059] Outlier handling refers to the identification and processing of outliers during statistical analysis of collected temperature data. Outliers may be caused by equipment malfunctions, measurement errors, or other reasons. Appropriate filtering algorithms or experience-based methods can be used to remove or correct these outliers.

[0060] Data correction processing refers to the process of correcting collected temperature data to reduce the impact of outliers on the calculated temperature baseline. For example, mathematical models can be used to correct outliers based on factors such as time, equipment model, and installation method, ensuring data accuracy.

[0061] In this embodiment of the disclosure, to improve the accuracy and robustness of the calculated temperature threshold, the diversity and robustness of the data need to be considered. The collected temperature data should come from different device models, installation methods, and times to better integrate the influence of various factors on temperature. Simultaneously, we can improve the robustness of the calculated temperature threshold by employing robust statistical methods or machine learning algorithms.

[0062] In this embodiment of the disclosure, when calculating the temperature threshold, a reference standard or comparison method can be selected to ensure the accuracy of the temperature threshold. For example, the temperature threshold of industry standards or similar equipment can be referenced, or a comparison method can be used, such as comparing the temperature ranges of different equipment models or installation methods, to determine a more accurate temperature threshold.

[0063] In some embodiments, the candidate temperature threshold corresponding to the second temperature influencing factor is determined based on the second operating temperature of the initial AAU and the second temperature influencing factor corresponding to the initial AAU. This can be done when the temperature influencing factor corresponding to the initial AAU is detected to be the second temperature influencing factor, i.e., the device model of the initial AAU is the first device model, the rated power is the first rated power, and the installation position is the first installation position. In this case, the high temperature limit value of the initial AAU under normal operating conditions is determined as the candidate temperature threshold, and there is no limitation on this.

[0064] Optionally, in some embodiments, determining the candidate temperature threshold corresponding to the second temperature influencing factor based on the second operating temperature of the initial AAU and the second temperature influencing factor corresponding to the initial AAU may involve adding the second operating temperature corresponding to the initial AAU with the device model of the first device model to the first dataset, adding the second operating temperature corresponding to the initial AAU with the rated power of the first rated power to the second dataset, adding the second operating temperature corresponding to the initial AAU with the installation location of the first installation location to the third dataset, then determining the intersection between the first dataset and / or the second dataset and / or the third dataset, and using the average value of the second operating temperatures in the intersection as the candidate temperature threshold.

[0065] In other words, in the embodiments of this disclosure, see Figure 4 , Figure 4 This is a schematic diagram of the candidate temperature threshold distribution proposed in an embodiment of this disclosure, see below. Figure 4This can be achieved by adding the second operating temperature (T0) corresponding to the initial AAU with the device model number of the first device model to the first dataset, adding the second operating temperature (T1) corresponding to the initial AAU with the rated power consumption of the first rated power consumption to the second dataset, and adding the second operating temperature (T2) corresponding to the initial AAU with the installation location of the first installation location to the third dataset, and then determining the intersection between the first dataset and / or the second dataset and / or the third dataset. The average of the second operating temperatures in the intersection is used as the candidate temperature threshold.

[0066] S304: When the second temperature influencing factor is the same as the first temperature influencing factor, the candidate temperature threshold corresponding to the second temperature influencing factor is used as the target temperature threshold.

[0067] In this embodiment of the present disclosure, after determining the candidate temperature threshold corresponding to the second temperature influencing factor based on the second operating temperature of the initial AAU and the second temperature influencing factor corresponding to the initial AAU, the candidate temperature threshold corresponding to the second temperature influencing factor can be used as the target temperature threshold when the second temperature influencing factor is the same as the first temperature influencing factor, i.e., the equipment model is the same, the equipment rated power is the same, and the installation position is the same.

[0068] S305: Determine the temperature difference between the temperature to be detected and the target temperature threshold.

[0069] In this embodiment of the disclosure, the temperature difference T1 = T between the temperature to be detected and the target temperature threshold may be determined. 初始温度 -T 目标温度阈值 Then, the temperature difference can be used to trigger the execution of subsequent temperature anomaly detection methods for various active antenna elements, as detailed in subsequent embodiments.

[0070] S306: Determine the degree of temperature anomaly of the AAU to be tested based on the temperature difference.

[0071] In this embodiment of the disclosure, after determining the temperature difference between the temperature to be detected and the target temperature threshold, the degree of temperature anomaly of the AAU to be detected can be determined based on the temperature difference.

[0072] In some embodiments, the degree of temperature anomaly of the AAU to be detected is determined based on the temperature difference. This can be achieved by obtaining a difference threshold, and determining that the AAU to be detected has a temperature anomaly when the temperature difference is greater than or equal to the difference threshold, and determining that the AAU to be detected has no temperature anomaly when the temperature difference is less than the difference threshold. No limitation is imposed on this.

[0073] Optionally, in some embodiments, determining the degree of temperature anomaly of the AAU to be detected based on the temperature difference may involve determining the degree of temperature anomaly to be a first anomaly level when the temperature difference is greater than a first temperature threshold and less than or equal to a second temperature threshold; determining the degree of temperature anomaly to be a second anomaly level when the temperature difference is greater than the second temperature threshold and less than or equal to a third temperature threshold, wherein the third temperature threshold is greater than the second temperature threshold, and the degree of temperature anomaly described by the second anomaly level is higher than the degree of temperature anomaly described by the first anomaly level; and determining the degree of temperature anomaly to be a third anomaly level when the temperature difference is greater than the third temperature threshold, wherein the degree of temperature anomaly described by the third anomaly level is higher than the degree of temperature anomaly described by the second anomaly level.

[0074] Wherein, the second temperature threshold is greater than the first temperature threshold, the third temperature threshold is greater than the second temperature threshold, the first temperature threshold can be, for example, 0℃, the second temperature threshold can be, for example, 5℃, and the third temperature threshold can be, for example, 10℃, without any restrictions.

[0075] The first level of abnormality refers to a situation where the AAU device is within the normal range, but a minor abnormality occurs during the operation of the device, which does not affect communication and service quality.

[0076] The second abnormal level refers to the AAU temperature approaching the upper limit. At this time, maintenance personnel need to be arranged to go to the site to check whether the computer room cooling equipment is malfunctioning, or whether the AAU beautification cover is too sealed, causing the temperature to rise.

[0077] The third abnormal level refers to an AAU temperature that is too high, which has caused equipment damage or failure and affected communication interruption or service quality degradation. At the same time, the device will report high temperature alarm information to the network management system.

[0078] For example, in this embodiment of the disclosure, the temperature abnormality level can be determined to be the first abnormality level when the temperature difference T1 is greater than 0 degrees Celsius and less than or equal to 5 degrees Celsius, the temperature abnormality level can be determined to be the second abnormality level when the temperature difference T1 is greater than 5 degrees Celsius and less than or equal to 10 degrees Celsius, and the temperature abnormality level can be determined to be the third abnormality level when the temperature difference T1 is greater than 10 degrees Celsius.

[0079] When the temperature anomaly is determined to be at the first level of anomaly, the embodiments of this disclosure can take corresponding countermeasures. For example, through planned work clothes, on-site inspections can be carried out. The inspection content includes checking the operating status of the AAU equipment, cleaning dust and other debris inside the equipment, and checking the operating status of the equipment fans, air conditioners, etc.; closely monitoring the operating status of the equipment, such as temperature changes, standing wave alarms, etc., and promptly detecting and handling abnormal situations; and taking some optimization measures (beautifying the opening of the cover, adding sunshades) to improve the performance and stability of the equipment.

[0080] When the temperature anomaly is determined to be at the second level of anomaly, the embodiments of this disclosure can take corresponding countermeasures, such as taking preventive measures, such as increasing the frequency of equipment monitoring and regularly cleaning dust and other debris inside the equipment; closely monitoring the equipment's operating status, such as the impact of temperature changes on other related equipment, and handling any anomalies in a timely manner; and adjusting the equipment's operating plan to prevent the situation from escalating.

[0081] When the temperature anomaly is determined to be at the third level of anomaly, the embodiments of this disclosure can take corresponding countermeasures, such as taking emergency measures, notifying maintenance personnel to go to the site for handling as soon as possible, such as replacing the AAU equipment, adding cooling equipment, etc., and restoring communication in a timely manner; and activating the emergency plan to ensure the restoration of communication and service.

[0082] In this embodiment, the first operating temperature of the active antenna unit (AAU) to be tested in a preset area at a first time is obtained, wherein the AAU to be tested has a corresponding first temperature influencing factor. Then, the second operating temperature of the initial active antenna unit (AAU) in the preset area at a second time is obtained, wherein each initial AAU has a corresponding second temperature influencing factor. Based on the second operating temperature of the initial AAU and the second temperature influencing factor corresponding to the initial AAU, a candidate temperature threshold corresponding to the second temperature influencing factor is determined. If the second temperature influencing factor is the same as the first temperature influencing factor, the candidate temperature threshold corresponding to the second temperature influencing factor is used as the target temperature threshold. Then, the temperature difference between the temperature to be tested and the target temperature threshold is determined. Based on the temperature difference, the degree of temperature anomaly of the AAU to be tested is determined. Thus, the degree of temperature anomaly of the AAU to be tested can be determined in a timely manner, thereby enabling timely countermeasures to be taken to prevent the AAU to be tested from malfunctioning due to temperature anomalies.

[0083] Figure 5 This is a block diagram of a temperature anomaly detection device for an active antenna element disclosed in this disclosure, such as... Figure 5 As shown, the temperature anomaly detection device 50 for the active antenna element includes:

[0084] The acquisition module 501 is used to acquire the first operating temperature of the active antenna unit (AAU) to be detected in the preset area at the first time, wherein the AAU to be detected has a corresponding first temperature influencing factor.

[0085] The first determining module 502 is used to determine the target temperature threshold of the AAU to be detected based on the first temperature influencing factors.

[0086] The second determining module 503 is used to determine the degree of temperature anomaly of the AAU to be detected based on the temperature to be detected and the target temperature threshold.

[0087] In some embodiments of this disclosure, the first determining module 502 is further configured to:

[0088] The second operating temperature of the initial active antenna unit (AAU) in the preset area is obtained at the second time, wherein each initial AAU has a corresponding second temperature influencing factor, and the second time is earlier than the first time.

[0089] Based on the second operating temperature of the initial AAU and the second temperature influencing factor corresponding to the initial AAU, determine the candidate temperature threshold corresponding to the second temperature influencing factor;

[0090] If the second temperature influencing factor is the same as the first temperature influencing factor, the candidate temperature threshold corresponding to the second temperature influencing factor will be used as the target temperature threshold.

[0091] In some embodiments of this disclosure, the second temperature influencing factor includes at least one of the following:

[0092] First equipment model;

[0093] First rated power consumption;

[0094] First installation location.

[0095] In some embodiments of this disclosure, the second determining module 503 is further configured to:

[0096] Add the second operating temperature corresponding to the initial AAU of the first device model to the first dataset;

[0097] Add the second operating temperature corresponding to the initial AAU with the first rated power consumption to the second dataset;

[0098] Add the second operating temperature corresponding to the initial AAU with the first installation location to the third dataset;

[0099] Determine the intersection between the first dataset, and / or the second dataset, and / or the third dataset, and use the average of the second running temperatures in the intersection as a candidate temperature threshold.

[0100] In some embodiments of this disclosure, the second determining module 503 is further configured to:

[0101] Determine the temperature difference between the temperature to be detected and the target temperature threshold;

[0102] The degree of temperature anomaly of the AAU to be tested is determined based on the temperature difference.

[0103] In some embodiments of this disclosure, the second determining module 503 is further configured to:

[0104] If the temperature difference is greater than the first temperature threshold and less than or equal to the second temperature threshold, then the temperature anomaly is determined to be of the first anomaly level, wherein the second temperature threshold is greater than the first temperature threshold.

[0105] If the temperature difference is greater than the second temperature threshold and less than or equal to the third temperature threshold, then the temperature anomaly level is determined to be the second anomaly level, where the third temperature threshold is greater than the second temperature threshold, and the temperature anomaly level described by the second anomaly level is higher than the temperature anomaly level described by the first anomaly level.

[0106] If the temperature difference is greater than the third temperature threshold, the temperature anomaly is determined to be at the third anomaly level, where the temperature anomaly level described by the third anomaly level is higher than that described by the second anomaly level.

[0107] In this embodiment, the first operating temperature of the active antenna unit (AAU) to be tested in the preset area at a first time is obtained. The AAU to be tested has a corresponding first temperature influencing factor. Based on the first temperature influencing factor, the target temperature threshold of the AAU to be tested is determined. Based on the temperature to be tested and the target temperature threshold, the degree of temperature anomaly of the AAU to be tested is determined. Thus, by combining the first temperature influencing factor of the AAU to be tested, the target temperature threshold of the AAU to be tested when the first temperature influencing factor exists can be accurately determined. This allows for accurate detection of temperature anomalies in the AAU to be tested before a failure occurs due to temperature anomalies, thereby avoiding the occurrence of AAU malfunctions caused by temperature anomalies.

[0108] According to embodiments of this disclosure, this disclosure also provides an electronic device, a computer-readable storage medium, and a computer program product.

[0109] Figure 6 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown.

[0110] Figure 6 The electronic device 12 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments disclosed herein.

[0111] like Figure 6 As shown, the electronic device 12 is represented in the form of a general-purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, memory 28, and bus 18 connecting different system components (including memory 28 and processing unit 16).

[0112] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0113] Electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by electronic device 12, including volatile and non-volatile media, removable and non-removable media.

[0114] Memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and / or cache memory 32. Electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (… Figure 6 Not shown; usually referred to as a "hard drive".

[0115] although Figure 6 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disc drive for reading and writing to a removable non-volatile optical disc (e.g., a compact disc read-only memory (CD-ROM), a digital video disc read-only memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this disclosure.

[0116] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of this disclosure.

[0117] Electronic device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable human interaction with electronic device 12, and / or with any device that enables electronic device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 22. Furthermore, electronic device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with other modules of electronic device 12 via bus 18. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0118] The processing unit 16 executes various functional applications and parameter information determination by running programs stored in the memory 28, such as implementing the business data storage method mentioned in the foregoing embodiments, or implementing the business data acquisition method mentioned in the foregoing embodiments.

[0119] It should be noted that in the description of this disclosure, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, in the description of this disclosure, unless otherwise stated, "a plurality of" means two or more.

[0120] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of preferred embodiments of this disclosure includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the function involved, as will be understood by those skilled in the art to which embodiments of this disclosure pertain.

[0121] It should be understood that various parts of this disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0122] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0123] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0124] The storage media mentioned above can be read-only memory, disk, or optical disk, etc.

[0125] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0126] Although embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A method for detecting temperature anomalies in an active antenna element, characterized in that, The method includes: The first operating temperature of the active antenna unit (AAU) to be tested in the preset area at the first time is obtained, wherein the AAU to be tested has a corresponding first temperature influencing factor; The second operating temperature of the initial active antenna unit (AAU) in the preset area is obtained at a second time, wherein each initial AAU has a corresponding second temperature influencing factor, the second time is earlier than the first time, and the second temperature influencing factor includes at least one of the first device model, the first rated power consumption, and the first installation location; Add the second operating temperature corresponding to the initial AAU of the device model number of the first device model to the first dataset; Add the second operating temperature corresponding to the initial AAU with the rated power consumption of the first rated power consumption to the second dataset; Add the second operating temperature corresponding to the initial AAU installed at the first installation location to the third dataset; Determine the intersection between the first dataset and / or the second dataset and / or the third dataset, and use the average of the second operating temperatures in the intersection as a candidate temperature threshold; When the second temperature influencing factor is the same as the first temperature influencing factor, the candidate temperature threshold corresponding to the second temperature influencing factor is used as the target temperature threshold. The degree of temperature anomaly of the AAU to be detected is determined based on the temperature to be detected and the target temperature threshold.

2. The method as described in claim 1, characterized in that, The step of determining the degree of temperature anomaly of the AAU to be detected based on the temperature to be detected and the target temperature threshold includes: Determine the temperature difference between the temperature to be detected and the target temperature threshold; The degree of temperature anomaly of the AAU to be detected is determined based on the temperature difference.

3. The method as described in claim 2, characterized in that, The step of determining the degree of temperature anomaly of the AAU to be detected based on the temperature difference includes: If the temperature difference is greater than a first temperature threshold and less than or equal to a second temperature threshold, then the degree of temperature anomaly is determined to be a first anomaly level, wherein the second temperature threshold is greater than the first temperature threshold. If the temperature difference is greater than the second temperature threshold and less than or equal to the third temperature threshold, then the temperature anomaly is determined to be a second anomaly level, wherein the third temperature threshold is greater than the second temperature threshold, and the temperature anomaly level described by the second anomaly level is higher than the temperature anomaly level described by the first anomaly level. If the temperature difference is greater than the third temperature threshold, then the degree of temperature anomaly is determined to be the third anomaly level, wherein the degree of temperature anomaly described by the third anomaly level is higher than the degree of temperature anomaly described by the second anomaly level.

4. A temperature anomaly detection device for an active antenna element, characterized in that, The device includes: The first acquisition module is used to acquire the first operating temperature of the active antenna unit (AAU) to be detected in the preset area at the first time, wherein the AAU to be detected has a corresponding first temperature influencing factor. The second acquisition module is used to acquire the second operating temperature of the initial active antenna unit (AAU) in the preset area at a second time, wherein each initial AAU has a corresponding second temperature influencing factor, the second time is earlier than the first time, and the second temperature influencing factor includes at least one of the first device model, the first rated power consumption, and the first installation location; The first addition module is used to add the second operating temperature corresponding to the initial AAU of the device model to the first dataset; The second addition module is used to add the second operating temperature corresponding to the initial AAU with a rated power consumption of the first rated power consumption to the second dataset; The third addition module is used to add the second operating temperature corresponding to the initial AAU installed at the first installation location to the third dataset; The first determining module is used to determine the intersection between the first dataset and / or the second dataset and / or the third dataset, and to use the average value of the second operating temperature in the intersection as a candidate temperature threshold. The second determining module is used to take the candidate temperature threshold corresponding to the second temperature influencing factor as the target temperature threshold when the second temperature influencing factor is the same as the first temperature influencing factor. The third determining module is used to determine the degree of temperature anomaly of the AAU to be detected based on the temperature to be detected and the target temperature threshold.

5. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method as described in any one of claims 1-3.

6. A computer-readable storage medium, wherein instructions in the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method as described in any one of claims 1-3.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-3.

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