Remote monitoring and management system for wireless relay station

Abstract

The invention relates to the technical field of wireless relay station management, and discloses a wireless relay station remote monitoring and management system, which comprises edge sensing units which are deployed at local positions of wireless relay stations and are configured to acquire multi-source operation state data in real time; the state judgment unit is configured to judge the operation state of the wireless relay station according to the radio frequency signal parameter, the equipment temperature and the power supply parameter, and judge the environment state according to the environment sensing data; the state analysis unit is configured to perform periodic stability analysis based on the operation state and the environment state within the preset time length to obtain a stability evaluation value; and the remote monitoring center is connected with the state judgment unit and the state analysis unit, and the remote monitoring center is configured to construct a health portrait of the wireless relay station. According to the invention, the refinement degree of operation monitoring of the wireless relay station and the safety and reliability of system operation are integrally improved.

Description

Technical Field

[0001] This invention relates to the field of wireless relay station management technology, and more specifically, to a remote monitoring and management system for wireless relay stations. Background Technology

[0002] With the rapid development of wireless communication and broadcast television networks, wireless relay stations, as important nodes in information transmission, play a crucial role in ensuring signal coverage and transmission quality.

[0003] However, existing wireless broadcasting station operation monitoring methods generally suffer from problems such as limited monitoring dimensions, insufficient real-time performance, and low levels of intelligence. Traditional operation and maintenance typically rely on periodic manual inspections or simple single-indicator alarms, such as monitoring only radio frequency signal strength, power supply voltage, or temperature. However, these methods cannot comprehensively reflect the overall operating status of the equipment, nor can they distinguish between anomalies caused by environmental changes and equipment malfunctions. Furthermore, existing monitoring systems focus primarily on instantaneous data, lacking periodic analysis of changes in operating and environmental conditions over time. This makes occasional fluctuations or short-term anomalies prone to false alarms or missed alarms, thus affecting the accuracy of operation and maintenance decisions. For widely distributed wireless broadcasting networks with complex geographical environments, single-indicator monitoring and manual inspections are not only inefficient but also difficult to achieve remote centralized management and long-term trend analysis, limiting the intelligent and refined development of operation and maintenance work.

[0004] Therefore, there is an urgent need for a remote monitoring and management system for wireless broadcasting stations to improve the accuracy and reliability of wireless broadcasting station operation monitoring, optimize the allocation of operation and maintenance resources, and achieve intelligent and scientific remote operation and maintenance management. Summary of the Invention

[0005] In view of this, the present invention proposes a remote monitoring and management system for wireless relay stations, which aims to solve the problems of single monitoring indicators, lack of periodic stability analysis and unified health assessment in the existing technology for wireless relay stations.

[0006] This invention proposes a remote monitoring and management system for wireless repeaters, comprising: An edge sensing unit is deployed locally at each wireless relay station. The edge sensing unit is configured to collect multi-source operating status data in real time. The multi-source operating status data includes radio frequency signal parameters, device temperature, power parameters, and environmental sensor data. A status determination unit is connected to the edge sensing unit. The status determination unit is configured to determine the operating status of the wireless repeater based on the radio frequency signal parameters, device temperature and power parameters, and to determine the environmental status based on environmental sensing data. A state analysis unit is connected to the state judgment unit. The state analysis unit is configured to perform periodic stability analysis based on the operating state and environmental state within a preset time period to obtain a stability evaluation value. A remote monitoring center is connected to the status judgment unit and the status analysis unit, and the remote monitoring center is configured to build a health profile of the wireless relay station.

[0007] Furthermore, when the status determination unit is configured to determine the operating status of the wireless repeater based on the radio frequency signal parameters, device temperature, and power supply parameters, it includes: The radio frequency signal parameters are compared with a preset normal signal threshold range. If the signal strength is lower than the lower threshold or the standing wave ratio is higher than the upper threshold, the radio frequency link is determined to be abnormal. Match the equipment temperature with the temperature rise safety curve corresponding to the equipment type. If the rate of temperature change exceeds the set slope or the absolute temperature value exceeds the safety range, it is determined to be an abnormality in thermal management. The voltage fluctuation amplitude, current ripple and power interruption number in the power parameters are compared with the corresponding tolerance thresholds. If any indicator exceeds the tolerance for a preset number of consecutive times, the power system is judged to be abnormal.

[0008] Furthermore, when the status determination unit is configured to determine the operating status of the wireless repeater based on the radio frequency signal parameters, device temperature, and power supply parameters, it further includes: The operational status level of the wireless repeater is determined based on whether there are any abnormalities in the radio frequency link, thermal management, and power system: If there are no abnormalities in the RF link, thermal management, and power system, the wireless repeater is in Level 1; if there is one abnormality in the RF link, thermal management, and power system, the wireless repeater is in Level 2; if there are two abnormalities in the RF link, thermal management, and power system, the wireless repeater is in Level 3; if there are abnormalities in the RF link, thermal management, and power system, the wireless repeater is in Level 4. The operating status levels from highest to lowest are Level 1, Level 2, Level 3, and Level 4.

[0009] Furthermore, when determining the environmental state based on environmental sensor data, the process includes: The environmental sensing data includes ambient temperature and ambient humidity; If the ambient temperature is not within the preset temperature threshold range, the ambient temperature is abnormal; otherwise, the ambient temperature is preliminarily judged to be normal. If the ambient humidity is not within the preset humidity threshold range, the ambient humidity is abnormal; otherwise, the ambient humidity is preliminarily judged to be normal. When the ambient temperature or humidity is initially determined to be normal, calculate the absolute value of the temperature difference between the current ambient temperature and the previous ambient temperature, and the absolute value of the humidity difference between the current ambient humidity and the previous ambient humidity; based on the absolute values ​​of the temperature difference or humidity difference, determine again whether the ambient temperature and humidity are abnormal.

[0010] Furthermore, when determining whether there is an anomaly in the ambient temperature and humidity based on the absolute value of the temperature difference or the absolute value of the humidity difference, the following steps are included: If the absolute value of the temperature difference is greater than the preset temperature difference, the ambient temperature is judged to be abnormal again; otherwise, the ambient temperature is judged to be normal again. If the absolute value of the humidity difference is greater than the preset humidity difference, the ambient humidity is judged to be abnormal again; otherwise, the ambient humidity is judged to be normal again.

[0011] Furthermore, when determining the environmental state based on environmental sensor data, it also includes: The environmental condition level is determined based on whether the ambient temperature and humidity are abnormal. If both ambient temperature and humidity are normal, the environmental status is Level 1; if either ambient temperature or humidity is abnormal, the environmental status is Level 2; if both ambient temperature and humidity are abnormal, the environmental status is Level 3. The environmental status levels, from highest to lowest, are Level 1, Level 2, and Level 3.

[0012] Furthermore, the state analysis unit is configured to perform periodic stability analysis based on the operating state and environmental state within a preset time period, and when obtaining a stability evaluation value, it includes: Construct a sequence of operating status levels and a sequence of environmental status levels within a preset time period based on the operating status level and the environmental status level, respectively. Calculate the mean and variance of the operating status levels in the operating status level sequence, and denote them as the first mean and the first variance. Calculate the mean and variance of the environmental state levels in the environmental state level sequence, and denote them as the second mean and the second variance. Operational stability analysis is performed based on the first mean and the first variance; environmental stability analysis is performed based on the second mean and the second variance.

[0013] Furthermore, operational stability analysis is performed based on the first mean and the first variance; environmental stability analysis is performed based on the second mean and the second variance, including: In the operational stability analysis, if the first mean is less than or equal to the preset operational mean threshold and the first variance is less than or equal to the preset operational variance threshold, the operational stability is determined to be good; if the first mean is greater than the preset operational mean threshold and the first variance is less than or equal to the preset operational variance threshold, the operational stability is determined to be average; if the first mean is less than or equal to the preset operational mean threshold and the first variance is greater than the preset operational variance threshold, the operational stability is determined to be poor; if the first mean is greater than the preset operational mean threshold and the first variance is greater than the preset operational variance threshold, the operational stability is determined to be very poor. In environmental stability analysis, if the second mean is less than or equal to a preset environmental mean threshold and the second variance is less than or equal to a preset environmental variance threshold, the environmental stability is considered good; if the second mean is greater than a preset environmental mean threshold and the second variance is less than or equal to a preset environmental variance threshold, the environmental stability is considered average; if the second mean is less than or equal to a preset environmental mean threshold and the second variance is greater than a preset environmental variance threshold, the environmental stability is considered poor; and if the second mean is greater than a preset environmental mean threshold and the second variance is greater than a preset environmental variance threshold, the environmental stability is considered very poor.

[0014] Furthermore, if the operational stability is good and the environmental stability is good, then the stability assessment value is the first assessment value; if the operational stability is poor and the environmental stability is poor, then the stability assessment value is the third assessment value; otherwise, the stability assessment value is the second assessment value; wherein, the stability assessment values ​​are ranked from high to low as the first assessment value, the second assessment value, and the third assessment value. When the stability assessment value is the first assessment value, no warning is issued; when the stability assessment value is the second assessment value, a level one warning is issued for the wireless relay station; when the stability assessment value is the third assessment value, a level two warning is issued for the wireless relay station; the warning levels are from low to high: level one warning and level two warning.

[0015] Furthermore, when the remote monitoring center is configured to build a health profile of the wireless relay station, it includes: The health profile includes the wireless repeater station number, as well as the corresponding operating status level, environmental status level, stability assessment value, operational stability, environmental stability, and early warning level of the wireless repeater station.

[0016] Compared with existing technologies, the advantages of this invention are as follows: By deploying edge sensing units locally on the wireless relay station, real-time acquisition of multi-source operational status data, such as radio frequency signal parameters, equipment temperature, power parameters, and environmental sensor data, is achieved. This avoids the incomplete information problem caused by relying on a single monitoring indicator, providing a comprehensive and reliable data foundation for subsequent operational status assessment. By setting up a status judgment unit, the operational status of the wireless relay station can be graded based on key operational elements such as the radio frequency link, thermal management, and power system. Combined with environmental sensor data, the external environmental status can be independently judged, thus distinguishing between equipment malfunctions and the impact of environmental factors, which helps improve the accuracy and specificity of anomaly identification. Furthermore, the status analysis unit does not simply judge the instantaneous status, but performs periodic stability analysis based on the operational and environmental status within a preset time period. It comprehensively considers the average level and fluctuation characteristics of status changes to obtain a stable assessment value reflecting the long-term operational reliability of the wireless relay station, thereby reducing the impact of instantaneous interference or occasional fluctuations on the assessment results and improving the objectivity and credibility of the stability evaluation. By constructing a health profile of wireless broadcasting stations through a remote monitoring center, the operational status, environmental status, and stability assessment results are structured, integrated, and centrally presented. This not only allows maintenance personnel to intuitively grasp the overall health level and risk level of each wireless broadcasting station, but also facilitates unified management and comparative analysis of multiple wireless broadcasting stations. It reduces the cost of manual inspections, improves the efficiency of remote maintenance and the level of intelligent management, and overall enhances the precision of wireless broadcasting station operation monitoring and the safety and reliability of system operation. Attached Figure Description

[0017] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 This is a functional block diagram of the wireless repeater remote monitoring and management system provided in an embodiment of the present invention. Detailed Implementation

[0018] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0019] In some embodiments of this application, see Figure 1 As shown, this embodiment provides a remote monitoring and management system for wireless repeaters, including: An edge sensing unit is deployed locally at each wireless relay station. The edge sensing unit is configured to collect multi-source operating status data in real time. The multi-source operating status data includes radio frequency signal parameters, device temperature, power parameters, and environmental sensor data. A status determination unit is connected to the edge sensing unit. The status determination unit is configured to determine the operating status of the wireless repeater based on the radio frequency signal parameters, device temperature and power parameters, and to determine the environmental status based on environmental sensing data. A state analysis unit is connected to the state judgment unit. The state analysis unit is configured to perform periodic stability analysis based on the operating state and environmental state within a preset time period to obtain a stability evaluation value. A remote monitoring center is connected to the status judgment unit and the status analysis unit, and the remote monitoring center is configured to build a health profile of the wireless relay station.

[0020] Understandably, by deploying edge sensing units locally on the wireless relay station, real-time acquisition of multi-source operational status data, such as RF signal parameters, equipment temperature, power parameters, and environmental sensor data, is achieved. This avoids the incomplete information problem caused by relying on a single monitoring indicator, providing a comprehensive and reliable data foundation for subsequent operational status assessment. By setting up a status judgment unit, the operational status of the wireless relay station can be graded based on key operational elements such as the RF link, thermal management, and power system. Combined with environmental sensor data, the external environmental status can be independently judged, thus distinguishing between equipment malfunctions and the impact of environmental factors, improving the accuracy and specificity of anomaly identification. Furthermore, the status analysis unit does not simply judge the instantaneous status but performs periodic stability analysis based on the operational and environmental status over a preset time period. It comprehensively considers the average level and fluctuation characteristics of status changes to obtain a stable assessment value reflecting the long-term operational reliability of the wireless relay station, thereby reducing the impact of instantaneous interference or occasional fluctuations on the assessment results and improving the objectivity and credibility of the stability evaluation. By constructing a health profile of wireless broadcasting stations through a remote monitoring center, the operational status, environmental status, and stability assessment results are structured, integrated, and centrally presented. This not only allows maintenance personnel to intuitively grasp the overall health level and risk level of each wireless broadcasting station, but also facilitates unified management and comparative analysis of multiple wireless broadcasting stations. It reduces the cost of manual inspections, improves the efficiency of remote maintenance and the level of intelligent management, and overall enhances the precision of wireless broadcasting station operation monitoring and the safety and reliability of system operation.

[0021] In some embodiments of this application, when the status determination unit is configured to determine the operating status of the wireless repeater based on the radio frequency signal parameters, device temperature, and power supply parameters, it includes: The radio frequency signal parameters are compared with a preset normal signal threshold range. If the signal strength is lower than the lower threshold or the standing wave ratio is higher than the upper threshold, the radio frequency link is determined to be abnormal. Match the equipment temperature with the temperature rise safety curve corresponding to the equipment type. If the rate of temperature change exceeds the set slope or the absolute temperature value exceeds the safety range, it is determined to be an abnormality in thermal management. The voltage fluctuation amplitude, current ripple and power interruption number in the power parameters are compared with the corresponding tolerance thresholds. If any indicator exceeds the tolerance for a preset number of consecutive times, the power system is judged to be abnormal.

[0022] Understandably, by assessing the operational status of the wireless repeater from three key dimensions—RF link, thermal management, and power system—the assessment is no longer limited to a single parameter or device status, but rather covers the core subsystems upon which the wireless repeater's stable operation depends. Specifically, RF signal parameters, through threshold comparisons of signal strength and VSWR, directly reflect the transmission quality of the antenna, feeder, and RF channel, enabling timely detection of link degradation or mismatch issues. Device temperature, combined with a temperature rise safety curve for dynamic matching, considers not only absolute temperature exceeding limits but also the rate of temperature change, facilitating early identification of heat dissipation failures or potential localized overheating. Power parameters, through comprehensive assessment of voltage fluctuations, current ripple, and the number of power outages, comprehensively reflect power supply stability, avoiding misjudgments due to short-term fluctuations or occasional interference. This multi-dimensional, conditional approach to operational status assessment improves the accuracy and robustness of anomaly identification, effectively reducing false alarms and missed alarms, and providing a reliable basis for subsequent operational status grading and stability analysis.

[0023] Furthermore, in the remote monitoring and management system for wireless repeaters, the lower and upper thresholds are typically set based on equipment specifications, manufacturer recommendations, and historical operating data to ensure that fluctuations in radio frequency signals, temperature, and power parameters remain within a safe operating range without affecting normal operation. The safe range is determined based on the equipment's tolerance limits and temperature rise curve, ensuring both long-term reliable operation and preventing misjudgments due to occasional fluctuations. The tolerance threshold defines the allowable deviation of voltage fluctuation amplitude, current ripple, or other key parameters, and is usually set to the maximum fluctuation value that the equipment can withstand to avoid false alarms triggered by short-term fluctuations. The preset number of times is set based on the monitoring cycle and equipment sensitivity; that is, the system only determines an anomaly when the tolerance threshold is exceeded for that number of times, thereby filtering out occasional interference signals and achieving a safe and robust monitoring strategy.

[0024] In one specific embodiment, the edge sensing unit detects a continuous decrease in RF signal strength in real time, and simultaneously detects that the VSWR is higher than a preset upper limit threshold. Based on this, the status judgment unit determines that the RF link is abnormal. Meanwhile, although the equipment temperature of the broadcasting station is within a safe range, the rate of temperature change increases significantly in a short period of time, but has not yet exceeded the set slope of the temperature rise safety curve; therefore, it is not judged as a thermal management abnormality. Furthermore, power parameter monitoring results show that voltage fluctuation amplitude and current ripple are both within tolerance range, and there is no power interruption; the power system is judged to be normal. Through the above judgment results, the system can accurately locate the abnormality primarily from the RF link, rather than heat dissipation or power supply issues, thus providing remote maintenance personnel with a clear fault indication, facilitating targeted antenna or feeder inspection and maintenance.

[0025] In some embodiments of this application, when the status determination unit is configured to determine the operating status of the wireless repeater based on the radio frequency signal parameters, device temperature, and power supply parameters, it further includes: The operational status level of the wireless repeater is determined based on whether there are any abnormalities in the radio frequency link, thermal management, and power system: If there are no abnormalities in the RF link, thermal management, and power system, the wireless repeater is in Level 1; if there is one abnormality in the RF link, thermal management, and power system, the wireless repeater is in Level 2; if there are two abnormalities in the RF link, thermal management, and power system, the wireless repeater is in Level 3; if there are abnormalities in the RF link, thermal management, and power system, the wireless repeater is in Level 4. The operating status levels from highest to lowest are Level 1, Level 2, Level 3, and Level 4.

[0026] Understandably, by comprehensively assessing anomalies in the RF link, thermal management, and power system, and accordingly classifying the wireless broadcasting station's operational status into multiple levels, the operational status assessment is upgraded from a traditional binary "normal / abnormal" judgment to a hierarchical and quantitative status expression. This operational status level directly reflects the severity and impact range of the current operational risks of the wireless broadcasting station, helping maintenance personnel quickly grasp the overall health level of the equipment. Simultaneously, this hierarchical judgment method uses the number of anomalies in different subsystems as a criterion, avoiding the overemphasis on a single anomaly or the underestimation of multiple anomalies, thus improving the objectivity and consistency of the operational status assessment. Furthermore, the operational status level results can directly serve as important input parameters for subsequent stability analysis, early warning triggering, and maintenance decisions, facilitating hierarchical response and differentiated management, thereby enhancing the refinement and intelligence of remote monitoring and maintenance management of the wireless broadcasting station.

[0027] In one specific embodiment of this application, the status judgment unit detects that the signal strength and VSWR of the RF link are both within the normal range, and no RF link abnormality is determined. Simultaneously, due to the aging of the cooling fan, the equipment temperature repeatedly exceeds the allowable range of the temperature rise safety curve during peak operation, and is judged to be a thermal management abnormality. Furthermore, the mains power supply connected to the relay station is stable, and voltage fluctuations, current ripple, and the number of power outages do not exceed the tolerance threshold, so the power system is judged to be normal. Based on the above judgment results, the RF link and power system are normal, and only the thermal management is abnormal. The system classifies the operating status level of the wireless relay station as Level 2. Through this operating status level, the remote monitoring center can quickly identify that the relay station has a medium risk and prioritize the inspection and maintenance of the cooling system without taking shutdown or emergency measures, thereby ensuring broadcast continuity while reducing operation and maintenance costs.

[0028] In some embodiments of this application, determining the environmental state based on environmental sensing data includes: The environmental sensing data includes ambient temperature and ambient humidity; If the ambient temperature is not within the preset temperature threshold range, the ambient temperature is abnormal; otherwise, the ambient temperature is preliminarily judged to be normal. If the ambient humidity is not within the preset humidity threshold range, the ambient humidity is abnormal; otherwise, the ambient humidity is preliminarily judged to be normal. When the ambient temperature or humidity is initially determined to be normal, calculate the absolute value of the temperature difference between the current ambient temperature and the previous ambient temperature, and the absolute value of the humidity difference between the current ambient humidity and the previous ambient humidity; based on the absolute values ​​of the temperature difference or humidity difference, determine again whether the ambient temperature and humidity are abnormal.

[0029] Understandably, by conducting phased and progressive assessments of ambient temperature and humidity, the accuracy and stability of environmental condition identification are effectively improved. First, using preset temperature and humidity thresholds for initial screening of the environmental condition allows for the rapid identification of extreme environmental situations that significantly exceed safe limits. Second, assuming the ambient temperature or humidity is initially determined to be normal, the variation range between adjacent monitoring times is introduced as a supplementary criterion to further determine whether there are abnormal fluctuations in the environmental condition. This avoids ignoring potential risks from rapid environmental changes based solely on instantaneous values ​​falling within the threshold range. This dual-judgment mechanism considers both the absolute level and the trend of environmental parameters, helping to detect problems such as condensation, corrosion, or deterioration of heat dissipation conditions that may be caused by sudden changes in temperature and humidity in advance. It reduces misjudgments and omissions, providing more realistic and reliable environmental condition information for the analysis and stability assessment of wireless relay station operations.

[0030] Specifically, the preset temperature and humidity threshold ranges are typically set based on the equipment's design specifications, manufacturer-recommended operating environment conditions, and historical operating data. The temperature threshold range should cover the minimum and maximum operating temperatures required for normal equipment operation, while allowing for a margin to cope with short-term environmental fluctuations. This ensures the equipment is not damaged by overheating or overcooling, and avoids false alarms triggered by minor temperature differences. The humidity threshold range is set according to the equipment's humidity sensitivity and the characteristics of the computer room or installation environment. It typically includes acceptable minimum and maximum relative humidity values ​​to prevent humid or dry environments from affecting the electronic components and electrical insulation performance of the equipment. By appropriately setting the temperature and humidity threshold ranges, the system can accurately identify environmental anomalies, provide reliable environmental status monitoring, offer a scientific basis for stability analysis and health profile construction, and reduce the frequency of false alarms caused by minor environmental fluctuations.

[0031] In one specific embodiment of this application, the environmental sensor detects an ambient temperature of 28°C and an ambient humidity of 68%, both within preset normal threshold ranges. The system initially determines that both the ambient temperature and humidity are normal. However, in a subsequent sampling period, the ambient temperature rapidly drops to 22°C, and the ambient humidity rapidly rises to 82%. Although the instantaneous values ​​still do not exceed the corresponding abnormal thresholds, the calculated absolute values ​​of the temperature difference and humidity difference both exceed preset change thresholds. Based on these results, the system again determines that there are abnormal fluctuations in the ambient temperature and humidity, and accordingly marks the environmental state as abnormal. This prompts maintenance personnel to pay attention to the potential risk of condensation and take timely moisture-proof or ventilation measures to avoid adverse effects of sudden environmental changes on the stable operation of the wireless relay station.

[0032] In some embodiments of this application, when determining whether there is an anomaly in the ambient temperature and humidity based on the absolute value of the temperature difference or the absolute value of the humidity difference, the following steps are included: If the absolute value of the temperature difference is greater than the preset temperature difference, the ambient temperature is judged to be abnormal again; otherwise, the ambient temperature is judged to be normal again. If the absolute value of the humidity difference is greater than the preset humidity difference, the ambient humidity is judged to be abnormal again; otherwise, the ambient humidity is judged to be normal again.

[0033] Understandably, by using the absolute values ​​of temperature and humidity differences to reassess environmental parameters, rapid changes or fluctuations in the environment can be captured, rather than relying solely on whether a single value exceeds an absolute threshold. This method can promptly identify sudden anomalies in environmental conditions, such as sudden drops in temperature or rapid increases in humidity, thereby preventing potential adverse effects on the operational stability of the wireless relay station. By setting reasonable thresholds for temperature and humidity differences, the system can enhance its sensitivity to dynamic environmental changes while maintaining a low false alarm rate, improving the accuracy and reliability of overall environmental status assessment. This secondary judgment mechanism based on the magnitude of change allows environmental monitoring to not only focus on "absolute safety" but also reflect potential risks, thus providing more comprehensive environmental information support for stability assessment and health profiling.

[0034] Furthermore, the preset temperature difference and preset humidity difference settings are primarily used to identify short-term, drastic environmental changes or sudden anomalies. Compared to absolute thresholds, the focus is on the fluctuation amplitude of continuous monitoring points over a time series. The preset temperature difference should be set based on the equipment's sensitivity to temperature changes and historical environmental fluctuation patterns. Generally, a critical value that reflects the equipment's thermal stress or sudden environmental changes should be selected, enabling timely detection of abnormal temperature rises or falls while avoiding excessive alarms for small fluctuations. The preset humidity difference is set based on the equipment's tolerance to humidity changes and the humidity fluctuation characteristics of the installation environment. Typically, it is a relative humidity change that can trigger an event that might affect the equipment's insulation performance or accelerate aging. By reasonably setting the temperature and humidity difference values, the system can distinguish between slow changes and sudden anomalies during monitoring, achieving dynamic judgment and stability analysis of the environmental state, while improving the accuracy of early warnings and avoiding false alarms caused by short-term, minor fluctuations.

[0035] In one specific embodiment of this application, the system measured the ambient temperature at 25°C and 20°C, and the ambient humidity at 60% and 75% in two consecutive acquisition cycles, respectively. Initially, the temperature and humidity values ​​for both cycles did not exceed the preset absolute thresholds, therefore the environment was initially judged to be normal. However, the calculated absolute value of the temperature difference was 5°C, and the absolute value of the humidity difference was 15%, both exceeding the preset temperature difference threshold (3°C) and humidity difference threshold (10%). According to the secondary judgment rule, the ambient temperature and humidity were again determined to be abnormally fluctuating, and the environmental state was marked as abnormal. This promptly alerted maintenance personnel to the potential risks of condensation or equipment dampness, allowing them to take appropriate protective measures to ensure the stable operation of the wireless repeater.

[0036] In some embodiments of this application, when determining the environmental state based on environmental sensing data, the method further includes: The environmental condition level is determined based on whether the ambient temperature and humidity are abnormal. If both ambient temperature and humidity are normal, the environmental status is Level 1; if either ambient temperature or humidity is abnormal, the environmental status is Level 2; if both ambient temperature and humidity are abnormal, the environmental status is Level 3. The environmental status levels, from highest to lowest, are Level 1, Level 2, and Level 3.

[0037] Understandably, by categorizing and integrating abnormal environmental temperature and humidity levels to form an environmental status rating system, the safety and risk level of the environment in which the wireless relay station operates can be intuitively and quantitatively reflected. This rating system considers not only whether a single environmental parameter is abnormal but also the combined impact of two key factors, temperature and humidity, making the environmental status assessment more comprehensive and accurate. When both temperature and humidity are normal, the environmental status is Level 1, indicating that the relay station's operating environment is safe and reliable; when only one parameter is abnormal, the environmental status is Level 2, indicating a moderate risk requiring moderate attention; when both temperature and humidity are abnormal, the environmental status is Level 3, indicating that environmental conditions may have a significant impact on the equipment, requiring timely intervention. Through this tiered representation, maintenance personnel can quickly understand the environmental risk level, enabling differentiated management and tiered responses. This helps improve the decision-making efficiency and operational safety of the remote monitoring system, while also providing clear environmental reference indicators for subsequent stability analysis and health profile construction.

[0038] In one specific embodiment of this application, the environmental sensor collects a temperature of 30°C and a humidity of 85%. Compared with preset thresholds, the temperature is within the normal range, but the humidity exceeds the safety limit. Therefore, it is initially determined that the temperature is normal, but the humidity is abnormal. According to the environmental status level rules, the system classifies the environmental status of the broadcasting station as Level 2, indicating to maintenance personnel that there is a medium environmental risk in the area. Based on this, maintenance personnel can arrange ventilation and moisture-proofing measures for the broadcasting station's equipment room without immediately taking shutdown or emergency measures, thereby ensuring stable equipment operation while improving the utilization efficiency of maintenance resources.

[0039] In some embodiments of this application, the state analysis unit is configured to perform periodic stability analysis based on the operating state and environmental state within a preset time period, and when obtaining a stability evaluation value, it includes: Construct a sequence of operating status levels and a sequence of environmental status levels within a preset time period based on the operating status level and the environmental status level, respectively. Calculate the mean and variance of the operating status levels in the operating status level sequence, and denote them as the first mean and the first variance. Calculate the mean and variance of the environmental state levels in the environmental state level sequence, and denote them as the second mean and the second variance. Operational stability analysis is performed based on the first mean and the first variance; environmental stability analysis is performed based on the second mean and the second variance.

[0040] Understandably, by sequencing operational and environmental status levels over a preset time period and performing statistical analysis based on mean and variance, the status analysis unit can quantitatively assess the long-term operational stability of the wireless repeater. This assessment considers not only the instantaneous level of status but also the fluctuations over time, allowing the results to reflect the overall health and environmental adaptability of the equipment over a period. The mean reflects the average level of the status, while the variance reflects the amplitude of fluctuations. Combining these two factors distinguishes between "long-term stable but slightly low-level operation" and "short-term operation with frequent fluctuations," thereby improving the accuracy and reliability of stability analysis. Through this periodic statistical analysis, the system can identify potential risks in advance, providing a scientific basis for early warning strategies and operational decisions. It also provides reliable data support for building a health profile of the wireless repeater, making remote monitoring more forward-looking and intelligent.

[0041] In one specific embodiment of this application, during a 24-hour monitoring cycle of a wireless repeater station, the status judgment unit records the operating status level and environmental status level every 5 minutes, resulting in an operating status level sequence of [1,1,2,1,1,2,1,1,1,2,…] and an environmental status level sequence of [1,1,1,2,1,1,1,1,2,1,…]. The status analysis unit calculates the mean of the operating status level sequence as 1.15 and the variance as 0.10, and the mean of the environmental status level sequence as 1.05 and the variance as 0.05. Based on preset mean and variance thresholds, the system determines that the wireless repeater station has good operating stability and good environmental stability, thereby generating a high-level stability assessment value (first assessment value), indicating that the repeater station operates smoothly overall during this cycle and does not require immediate intervention; only normal inspection is needed, providing quantitative evidence for long-term stability in advance.

[0042] In some embodiments of this application, operational stability analysis is performed based on a first mean and a first variance; environmental stability analysis is performed based on a second mean and a second variance, including: In the operational stability analysis, if the first mean is less than or equal to the preset operational mean threshold and the first variance is less than or equal to the preset operational variance threshold, the operational stability is determined to be good; if the first mean is greater than the preset operational mean threshold and the first variance is less than or equal to the preset operational variance threshold, the operational stability is determined to be average; if the first mean is less than or equal to the preset operational mean threshold and the first variance is greater than the preset operational variance threshold, the operational stability is determined to be poor; if the first mean is greater than the preset operational mean threshold and the first variance is greater than the preset operational variance threshold, the operational stability is determined to be very poor. In environmental stability analysis, if the second mean is less than or equal to a preset environmental mean threshold and the second variance is less than or equal to a preset environmental variance threshold, the environmental stability is considered good; if the second mean is greater than a preset environmental mean threshold and the second variance is less than or equal to a preset environmental variance threshold, the environmental stability is considered average; if the second mean is less than or equal to a preset environmental mean threshold and the second variance is greater than a preset environmental variance threshold, the environmental stability is considered poor; and if the second mean is greater than a preset environmental mean threshold and the second variance is greater than a preset environmental variance threshold, the environmental stability is considered very poor.

[0043] Understandably, by conducting a dual analysis of the mean and variance of both the operational status level sequence and the environmental status level sequence, the stability of the wireless repeater can be assessed more comprehensively and accurately. The mean reflects the average state level of the equipment or environment over a certain period, while the variance reflects the amplitude of state fluctuations. Combining the two can distinguish between long-term stable operation at a safe level and short-term frequent fluctuations or occasional anomalies. For example, if the mean is low and the variance is small, it indicates that the equipment is operating stably and in good condition over a long period; if the mean is high or the variance is large, it suggests that the equipment or environment has a medium or high risk, requiring attention to potential problems. Compared with simply judging instantaneous anomalies, this method can reduce false alarms and missed alarms, improve the scientific nature and operability of stability analysis, provide quantitative basis for early warning strategies, operation and maintenance decisions, and the construction of health profiles, and further improve the intelligence level and reliability of remote monitoring of wireless repeaters.

[0044] Specifically, the preset operating mean threshold and preset operating variance threshold are mainly based on statistical data and empirical indicators of the equipment's long-term operating status. The operating mean threshold is usually taken as the average level of the equipment's grade series under normal operating conditions plus a certain safety margin, used to distinguish equipment that is in a long-term high-load or low-performance state. The operating variance threshold is set according to the historical fluctuation range, reflecting the stability of the equipment's operation. Excessive variance may indicate frequent fluctuations in operating status or the existence of intermittent anomalies. Similarly, the preset environmental mean threshold and preset environmental variance threshold are determined based on long-term environmental monitoring data, such as the mean and fluctuation range of temperature and humidity grade series, used to judge whether environmental conditions are at a reasonable level and their stability. Reasonably setting these mean and variance thresholds can accurately distinguish between good, average, or unstable states of equipment and environment in periodic stability analysis, thereby improving the accuracy of stability assessment, providing a scientific basis for early warning judgment and health profiling, and avoiding misjudgments or missed reports caused by occasional fluctuations.

[0045] In one specific embodiment of this application, during continuous 24-hour monitoring of a wireless repeater station, the calculated mean of the operational status level sequence was 1.3, and the variance was 0.2. The calculated mean of the environmental status level sequence was 1.1, and the variance was 0.05. Preset thresholds were set for the operational mean (1.5), operational variance (0.25), environmental mean (1.5), and environmental variance (0.1). According to the analysis rules, if both the operational status mean and variance are less than the thresholds, the operational stability is considered good; if both the environmental status mean and variance are less than the thresholds, the environmental stability is considered good. Therefore, the system concludes that the overall stability of the wireless repeater station is good, requiring no early warning triggers, and normal monitoring and inspection schedules can be maintained, thus achieving a scientific quantitative assessment of the long-term health status of the equipment.

[0046] In some embodiments of this application, if the operational stability is good and the environmental stability is good, then the stability evaluation value is the first evaluation value; if the operational stability is poor and the environmental stability is poor, then the stability evaluation value is the third evaluation value; otherwise, the stability evaluation value is the second evaluation value; wherein, the stability evaluation values ​​are ranked from high to low as the first evaluation value, the second evaluation value, and the third evaluation value. When the stability assessment value is the first assessment value, no warning is issued; when the stability assessment value is the second assessment value, a level one warning is issued for the wireless relay station; when the stability assessment value is the third assessment value, a level two warning is issued for the wireless relay station; the warning levels are from low to high: level one warning and level two warning.

[0047] Understandably, by combining operational stability with environmental stability to form an overall stability assessment value, and further correlating this with a tiered early warning mechanism, rapid quantification and intelligent management of operational risks for wireless broadcasting stations can be achieved. When both operational status and environmental stability are good, the system determines this as the first assessment value, requiring no early warning, reducing unnecessary intervention, and improving operational efficiency. When both are poor, or one of them presents a moderate risk, the system determines this as the second or third assessment value, triggering a first- or second-level early warning, enabling maintenance personnel to promptly address potential problems and take tiered measures. This tiered early warning mechanism based on comprehensive assessment not only intuitively reflects the overall health status of the wireless broadcasting station but also balances false alarms and missed alarms, helping maintenance personnel prioritize high-risk equipment. Simultaneously, it provides a scientific basis for long-term equipment management, inspection scheduling, and health profile construction, thereby significantly improving the intelligence and security of the remote monitoring system.

[0048] In one specific embodiment of this application, during the 24-hour monitoring cycle of the wireless repeater, the status analysis unit calculates that the operational stability is good and the environmental stability is average. According to the stability assessment rules, the system determines the comprehensive assessment value as the second assessment value and triggers a level one warning. Upon receiving the warning information, the operations and maintenance center remotely inspects the repeater and finds slight fluctuations in environmental humidity, but these do not exceed the equipment's tolerance range. Ventilation and moisture-proofing measures are then implemented to prevent potential risks from escalating. Through this tiered warning system, operations and maintenance personnel can take timely and appropriate interventions without affecting normal operation, ensuring the long-term stable operation of the wireless repeater and accumulating data for subsequent health profiling and optimization management strategies.

[0049] In some embodiments of this application, when the remote monitoring center is configured to build a health profile of the wireless relay station, it includes: The health profile includes the wireless repeater station number, as well as the corresponding operating status level, environmental status level, stability assessment value, operational stability, environmental stability, and early warning level of the wireless repeater station.

[0050] Understandably, building a health profile for wireless broadcast stations through a remote monitoring center allows for unified and visualized management of equipment operating status, environmental status, stability, comprehensive assessment values, and early warning levels. The health profile not only provides maintenance personnel with comprehensive status information for individual devices but also facilitates horizontal comparisons and vertical tracking of the entire wireless broadcast station network. By integrating operating level, environmental level, stability assessment, and early warning information, maintenance personnel can quickly identify high-risk equipment, assess the severity of potential problems, and formulate scientific maintenance strategies or scheduling plans based on the health profile. Furthermore, the long-term accumulation of health profiles can form historical data archives, providing reliable data support for equipment lifespan prediction, failure mode analysis, and remote intelligent maintenance decision-making, thereby improving the intelligence, manageability, and response efficiency of the entire monitoring system.

[0051] In one specific embodiment of this application, the remote monitoring center generates a health profile for the wireless repeater station numbered "TX-105". The health profile shows that the repeater station's operational status is Level 1, its environmental status is Level 2, its operational stability is good, its environmental stability is average, and its stability assessment value is the second assessment value, corresponding to triggering a Level 1 warning. Maintenance personnel can see the current status and risk level of the equipment at a glance through the health profile interface, further understanding that the ambient humidity fluctuates occasionally and requires appropriate ventilation. This allows them to take targeted measures to maintain the long-term stable operation of the equipment and provides a reference for subsequent periodic assessments and overall network optimization.

[0052] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0053] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0054] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0055] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0056] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A remote monitoring and management system for wireless repeaters, characterized in that, include: An edge sensing unit is deployed locally at each wireless relay station. The edge sensing unit is configured to collect multi-source operating status data in real time. The multi-source operating status data includes radio frequency signal parameters, device temperature, power parameters, and environmental sensor data. A status determination unit is connected to the edge sensing unit. The status determination unit is configured to determine the operating status of the wireless repeater based on the radio frequency signal parameters, device temperature and power parameters, and to determine the environmental status based on environmental sensing data. A state analysis unit is connected to the state judgment unit. The state analysis unit is configured to perform periodic stability analysis based on the operating state and environmental state within a preset time period to obtain a stability evaluation value. A remote monitoring center is connected to the status judgment unit and the status analysis unit, and the remote monitoring center is configured to build a health profile of the wireless relay station.

2. The wireless repeater remote monitoring and management system according to claim 1, characterized in that, When the status determination unit is configured to determine the operating status of the wireless repeater based on the radio frequency signal parameters, device temperature, and power supply parameters, it includes: The radio frequency signal parameters are compared with a preset normal signal threshold range. If the signal strength is lower than the lower threshold or the standing wave ratio is higher than the upper threshold, the radio frequency link is determined to be abnormal. Match the equipment temperature with the temperature rise safety curve corresponding to the equipment type. If the rate of temperature change exceeds the set slope or the absolute temperature value exceeds the safety range, it is determined to be an abnormality in thermal management. The voltage fluctuation amplitude, current ripple and power interruption number in the power parameters are compared with the corresponding tolerance thresholds. If any indicator exceeds the tolerance for a preset number of consecutive times, the power system is judged to be abnormal.

3. The wireless repeater remote monitoring and management system according to claim 2, characterized in that, When the status determination unit is configured to determine the operating status of the wireless repeater based on the radio frequency signal parameters, device temperature, and power supply parameters, it further includes: The operational status level of the wireless repeater is determined based on whether there are any abnormalities in the radio frequency link, thermal management, and power system: If there are no abnormalities in the RF link, thermal management, and power system, the wireless repeater is in Level 1; if there is one abnormality in the RF link, thermal management, and power system, the wireless repeater is in Level 2; if there are two abnormalities in the RF link, thermal management, and power system, the wireless repeater is in Level 3; if there are abnormalities in the RF link, thermal management, and power system, the wireless repeater is in Level 4. The operating status levels from highest to lowest are Level 1, Level 2, Level 3, and Level 4.

4. The wireless repeater remote monitoring and management system according to claim 3, characterized in that, The process of determining the environmental state based on environmental sensor data includes: The environmental sensing data includes ambient temperature and ambient humidity; If the ambient temperature is not within the preset temperature threshold range, the ambient temperature is abnormal; otherwise, the ambient temperature is preliminarily judged to be normal. If the ambient humidity is not within the preset humidity threshold range, the ambient humidity is abnormal; otherwise, the ambient humidity is preliminarily judged to be normal. When the ambient temperature or humidity is initially determined to be normal, calculate the absolute value of the temperature difference between the current ambient temperature and the previous ambient temperature, and the absolute value of the humidity difference between the current ambient humidity and the previous ambient humidity; based on the absolute values ​​of the temperature difference or humidity difference, determine again whether the ambient temperature and humidity are abnormal.

5. The wireless repeater remote monitoring and management system according to claim 4, characterized in that, When determining whether there is an anomaly in the ambient temperature and humidity based on the absolute value of the temperature difference or the absolute value of the humidity difference, the following steps are included: If the absolute value of the temperature difference is greater than the preset temperature difference, the ambient temperature is judged to be abnormal again; otherwise, the ambient temperature is judged to be normal again. If the absolute value of the humidity difference is greater than the preset humidity difference, the ambient humidity is judged to be abnormal again; otherwise, the ambient humidity is judged to be normal again.

6. The wireless repeater remote monitoring and management system according to claim 5, characterized in that, When determining the environmental state based on environmental sensor data, it also includes: The environmental condition level is determined based on whether the ambient temperature and humidity are abnormal. If both ambient temperature and humidity are normal, the environmental status is Level 1; if either ambient temperature or humidity is abnormal, the environmental status is Level 2; if both ambient temperature and humidity are abnormal, the environmental status is Level 3. The environmental status levels, from highest to lowest, are Level 1, Level 2, and Level 3.

7. The wireless repeater remote monitoring and management system according to claim 6, characterized in that, The state analysis unit is configured to perform periodic stability analysis based on the operating state and environmental state within a preset time period, and when obtaining a stability evaluation value, it includes: Construct a sequence of operating status levels and a sequence of environmental status levels within a preset time period based on the operating status level and the environmental status level, respectively. Calculate the mean and variance of the operating status levels in the operating status level sequence, and denote them as the first mean and the first variance. Calculate the mean and variance of the environmental state levels in the environmental state level sequence, and denote them as the second mean and the second variance. Operational stability analysis is performed based on the first mean and the first variance; environmental stability analysis is performed based on the second mean and the second variance.

8. The wireless repeater remote monitoring and management system according to claim 7, characterized in that, Operational stability analysis is performed based on the first mean and the first variance; environmental stability analysis is performed based on the second mean and the second variance, including: In the operational stability analysis, if the first mean is less than or equal to the preset operational mean threshold and the first variance is less than or equal to the preset operational variance threshold, the operational stability is determined to be good; if the first mean is greater than the preset operational mean threshold and the first variance is less than or equal to the preset operational variance threshold, the operational stability is determined to be average; if the first mean is less than or equal to the preset operational mean threshold and the first variance is greater than the preset operational variance threshold, the operational stability is determined to be poor; if the first mean is greater than the preset operational mean threshold and the first variance is greater than the preset operational variance threshold, the operational stability is determined to be very poor. In environmental stability analysis, if the second mean is less than or equal to a preset environmental mean threshold and the second variance is less than or equal to a preset environmental variance threshold, the environmental stability is considered good; if the second mean is greater than a preset environmental mean threshold and the second variance is less than or equal to a preset environmental variance threshold, the environmental stability is considered average; if the second mean is less than or equal to a preset environmental mean threshold and the second variance is greater than a preset environmental variance threshold, the environmental stability is considered poor; and if the second mean is greater than a preset environmental mean threshold and the second variance is greater than a preset environmental variance threshold, the environmental stability is considered very poor.

9. The wireless repeater remote monitoring and management system according to claim 8, characterized in that, If both the operational stability and environmental stability are good, the stability assessment value is the first assessment value; if both the operational stability and environmental stability are poor, the stability assessment value is the third assessment value; otherwise, the stability assessment value is the second assessment value. The stability assessment values ​​are ranked from highest to lowest as the first assessment value, the second assessment value, and the third assessment value. When the stability assessment value is the first assessment value, no warning is issued; when the stability assessment value is the second assessment value, a level one warning is issued for the wireless relay station; when the stability assessment value is the third assessment value, a level two warning is issued for the wireless relay station; the warning levels are from low to high: level one warning and level two warning.

10. The wireless repeater remote monitoring and management system according to claim 9, characterized in that, When the remote monitoring center is configured to build a health profile of the wireless relay station, it includes: The health profile includes the wireless repeater station number, as well as the corresponding operating status level, environmental status level, stability assessment value, operational stability, environmental stability, and early warning level of the wireless repeater station.

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