High-efficiency testing-oriented ultra-high voltage communication power supply modification method

Abstract

This invention provides a highly efficient test-oriented method for upgrading ultra-high voltage communication power supplies, belonging to the field of communication power supply upgrading technology. The method includes collecting multi-dimensional operational data of the target ultra-high voltage communication power supply and constructing a three-dimensional model of the power supply's operating status; dividing the power supply into test zones and analyzing the performance optimization priorities of different test zones; selecting the optimal upgrading scheme; collecting the operating parameters of the upgraded power supply in real time and extracting characteristic indicators of the operating parameters; evaluating the actual effectiveness of the upgrading scheme; verifying the effectiveness of the optimal upgrading scheme, and iteratively optimizing the optimal upgrading scheme based on the verification results. This invention, through a scientific design of the entire process, solves the pain points of traditional upgrading methods, significantly improves the reliability of communication networks, reduces labor costs and maintenance errors, and has significant economic and social benefits.

Description

Technical Field

[0001] This invention relates to the field of communication power supply modification technology, and in particular to a high-efficiency test-guided ultra-high voltage communication power supply modification method. Background Technology

[0002] In today's rapidly developing communications industry, ultra-high voltage communication power supplies serve as the energy hub for core facilities such as base stations and data centers. Their operational stability and energy efficiency directly determine the reliability and operating costs of communication networks.

[0003] Currently, most ultra-high voltage communication power supplies in use have been in service for 5-8 years. Due to limitations in early design technology and manufacturing processes, they generally suffer from three core problems: First, hardware aging leads to performance degradation, such as increased copper and iron losses in transformers and increased switching losses in IGBT modules, resulting in a power supply output accuracy deviation rate exceeding 3%, far higher than the industry standard threshold of 1%, and energy consumption exceeding standards by 15%-20%, adding a significant amount of extra electricity costs annually. Second, insufficient load adaptability; with the popularization of new loads such as 5G base stations and cloud computing servers, the frequency of load power fluctuations has increased to levels seen in traditional scenarios. The current fluctuation is 3-5 times that of the rated value, which is difficult for existing power supply filtering circuits and control algorithms to handle. This results in current fluctuations exceeding the rated value by 10%, frequently triggering overload protection and affecting the continuity of communication services. Thirdly, the transformation plan lacks scientific basis. Traditional transformations often rely on engineers' experience and judgment without combining actual power supply operating data and multi-condition simulations. This often leads to blind transformations, such as replacing high-efficiency hardware without optimizing the heat dissipation system, resulting in the hardware performance not being fully utilized, or the power supply still frequently failing under extreme high temperature (above 40°C) and grid voltage drop (below 15% of the rated value) conditions after transformation. Summary of the Invention

[0004] This invention provides a method for upgrading an ultra-high voltage communication power supply with high efficiency and test guidance, which solves the problem that the upgraded power supply still fails frequently under complex operating conditions in the prior art.

[0005] This invention provides a high-efficiency test-guided ultra-high voltage communication power supply modification method, comprising:

[0006] Collect multi-dimensional operational data of the target ultra-high voltage communication power supply, integrate and process the multi-dimensional operational data using digital modeling technology, and construct a three-dimensional model of the power supply's operating status.

[0007] The target ultra-high voltage communication power supply is divided into test zones based on the three-dimensional model of the power supply's operating status. The performance optimization priority of different test zones is analyzed by combining the hierarchical analysis method with the fuzzy comprehensive evaluation method.

[0008] Multiple power supply modification schemes were set up, and the Monte Carlo simulation method was used in combination with a three-dimensional model of the power supply operation status to simulate the impact of various power supply modification schemes on power supply output parameters, energy consumption and stability, and the optimal modification scheme was selected.

[0009] The power supply upgrade was carried out according to the optimal upgrade plan. The operating parameters of the upgraded power supply were collected in real time, the operating parameters were preprocessed, and the characteristic indicators of the operating parameters were extracted. The characteristic indicators include output voltage stability, current fluctuation amplitude, power loss rate, and overload response time.

[0010] Based on characteristic indicators and combined with a three-dimensional model of power supply operation status, the operating characteristics of the upgraded power supply are analyzed to evaluate the actual effectiveness of the upgrade plan.

[0011] The operational characteristic data of the modified power supply are fed back to the three-dimensional model of the power supply's operating status to verify the effectiveness of the optimal modification scheme, and the optimal modification scheme is iteratively optimized based on the verification results.

[0012] According to the efficient test-oriented ultra-high voltage communication power supply modification method provided by this invention, multi-dimensional operational data includes power supply hardware parameters, historical operational data, load characteristic data, environmental impact data, and fault record data. Power supply hardware parameters include transformer rated capacity, rectifier module output power, filter capacitor value, IGBT switching frequency, and heat dissipation efficiency of the cooling system. Historical operational data includes historical output voltage fluctuation records, peak current data, average power loss, and equipment start-up and shutdown counts. Load characteristic data includes load type, load power change curve, and load switching frequency. Environmental impact data includes operating environment temperature range, humidity change records, dust concentration, and electromagnetic interference intensity. Fault record data includes fault occurrence time, fault type, fault duration, and fault repair plan.

[0013] According to the efficient test-guided ultra-high voltage communication power supply modification method provided by the present invention, the process of constructing a three-dimensional model of the power supply's operating state includes:

[0014] The multi-dimensional operational data is categorized and organized, and a structured database containing timestamps and device number indexes is established according to data type.

[0015] Data from the structured database is imported into the power supply simulation modeling software. Based on the power supply hardware parameters, three-dimensional solid models of the transformer, rectifier module, filter circuit and inverter unit are constructed. The initial power supply hardware framework is generated by combining the heat dissipation system structural parameters.

[0016] Based on the voltage and current timing variation patterns in historical operating data, a power supply dynamic operation simulation module is constructed. The loss model and efficiency curve of each hardware unit are determined through data fitting. The dynamic operation module is then integrated with the initial hardware framework to obtain the basic power supply model.

[0017] By combining environmental impact data and fault record data, deviation corrections are made to the basic power supply model to obtain a three-dimensional power supply operating state model that reflects the actual operating state of the power supply.

[0018] According to the efficient test-guided ultra-high voltage communication power supply modification method provided by the present invention, the process of dividing the target ultra-high voltage communication power supply into test zones based on the three-dimensional model of the power supply's operating state includes:

[0019] Based on the functional boundaries, hardware topology, and operational risk correlation of the target ultra-high voltage communication power supply, and combined with the spatial location and signal interaction relationship of each hardware unit in the three-dimensional model of the power supply's operating status, preliminary partition boundaries are delineated.

[0020] Based on the three-dimensional model of the power supply's operating state, the sensitivity of key operating parameters of each hardware unit is extracted. By calculating the parameter response coupling degree of different hardware units under voltage fluctuation and load change conditions, the preliminary partition boundary is optimized to form a test partition. The test partition includes the core power conversion area, power filtering area, heat dissipation protection area, control and monitoring area, and bus connection area.

[0021] The high-efficiency test-guided ultra-high voltage communication power supply modification method provided by the present invention includes the following process for analyzing the performance optimization priorities of different test zones using the analytic hierarchy process combined with the fuzzy comprehensive evaluation method:

[0022] Evaluation indicators that affect the performance optimization of ultra-high voltage communication power supplies are set. These indicators include output accuracy deviation rate, energy consumption exceeding the standard, stability risk coefficient, and failure frequency.

[0023] A judgment matrix was constructed using the analytic hierarchy process (AHP). Based on the degree of influence of each evaluation index on the safe operation of the power supply, the indexes were compared pairwise using the scaling method to form the judgment matrix.

[0024] The relative importance weights of each evaluation index are determined by calculating the maximum eigenvalue and eigenvector of the judgment matrix and combining them with a consistency test.

[0025] The fuzzy comprehensive evaluation method is used to determine the membership function of each evaluation index, and the evaluation index of each test partition is quantitatively scored.

[0026] Similarly, membership functions and scoring intervals for other indicators are set, and the optimization priority comprehensive score for each test partition is obtained by weighted summation.

[0027] The priority level of each test partition is determined based on the comprehensive score of the optimization priority. The priority levels include high priority, medium priority and low priority. The priority information is then linked to the 3D model of the power supply operation status and displayed in different colors.

[0028] According to the efficient test-guided ultra-high voltage communication power supply modification method provided by the present invention, the process of selecting the optimal modification scheme includes:

[0029] The basic parameters for power supply modification are set according to the priority level of the test zone. The basic parameters include the modification targets for high-priority zones, medium-priority zones, and low-priority zones. At the same time, the modification construction period and the upper limit of the cost budget are clearly defined.

[0030] Based on the three-dimensional model of the power supply's operating status, multiple modification schemes are generated for different priority zones, and the hardware replacement list, circuit adjustment details, and control strategy optimization content for each modification scheme are clearly defined.

[0031] The Monte Carlo simulation method is used to randomly generate virtual operating condition samples of power load fluctuation and ambient temperature change. Combined with the three-dimensional model of power supply operation status, the output voltage stability, current fluctuation amplitude, power loss rate and overload response time of each modification scheme under different operating conditions are simulated. The performance index compliance rate, cost-effectiveness ratio and risk occurrence rate of each modification scheme are calculated.

[0032] A weighted scoring method was used to comprehensively rank the performance indicators compliance rate, cost-effectiveness ratio, and risk occurrence rate. The risk occurrence rate was treated as a reverse indicator, and the scheme with the highest comprehensive score was selected as the optimal renovation scheme.

[0033] The high-efficiency test-guided ultra-high voltage communication power supply modification method provided by the present invention includes the following process for preprocessing operating parameters:

[0034] The wavelet threshold denoising method is used to denoise the operating parameters, which include voltage, current and power data.

[0035] The sliding window method is used to segment continuous operating parameter data. Abnormal operating segments are identified by setting thresholds to distinguish normal operating data from fault and fluctuation data.

[0036] Extract the characteristic parameters of each normal operation segment, including average voltage, peak current, standard deviation of power loss, and overload response delay time. At the same time, calculate the parameter fluctuation frequency per unit time to form a standardized characteristic index dataset.

[0037] According to the high-efficiency test-guided ultra-high voltage communication power supply modification method provided by the present invention, the process of evaluating the actual effectiveness of the modification scheme includes:

[0038] Based on the characteristic indicators of the upgraded power supply, a comparative analysis is conducted with historical data before the upgrade and the preset upgrade targets to calculate the output accuracy improvement rate, energy consumption reduction rate, stability improvement coefficient, and fault reduction rate.

[0039] The simulation data of the corresponding partition in the 3D model of the power supply's operating status before the modification is retrieved, and the deviation between the actual operating characteristic indicators and the model predictions is analyzed. If the deviation is less than a preset threshold, the modification plan is deemed to be in good agreement with the model predictions. If the deviation is greater than the preset threshold, the cause of the deviation is analyzed and the model parameters are corrected.

[0040] Based on the actual operational requirements of the communication load, assess the power supply's ability to support the load operation after the upgrade, and generate a comprehensive performance evaluation report.

[0041] The process of verifying the effectiveness of the optimal modification scheme by using the high-efficiency test-guided ultra-high voltage communication power supply modification method provided by the present invention includes:

[0042] The matching degree between the power supply operation characteristic data after the modification and the test partition priority is statistically analyzed according to the preset cycle, and the actual performance compliance rate of high priority partition and the performance compliance rate of medium and low priority partition are calculated.

[0043] If the performance compliance rate of high-priority zones is lower than the preset compliance rate threshold, the membership function of the evaluation indicators will be corrected based on the abnormal data that appears after the transformation, and the weight of each evaluation indicator will be recalculated.

[0044] According to the efficient test-guided ultra-high voltage communication power supply modification method provided by the present invention, the process of iteratively optimizing the optimal modification scheme based on the verification results includes:

[0045] For test zones where performance did not meet standards, adjustments and modifications were made based on the deviation analysis results of the three-dimensional model of the power supply's operating status.

[0046] Based on the revised evaluation index weights, secondary modifications are made to the links in the high-priority partitions where the efficiency improvement has not reached the preset value.

[0047] The iteratively optimized modification scheme is imported into the Monte Carlo simulation system. Simulation verification is performed based on the updated 3D model of the power supply's operating state, simulating extreme operating conditions and load change scenarios until the output accuracy of the modified power supply reaches the preset accuracy, the energy consumption reduction rate reaches the preset target, and the number of extreme operating condition failures is less than the preset frequency, thus forming the final optimized modification scheme.

[0048] This invention provides a highly efficient test-oriented ultra-high voltage communication power supply modification method. By collecting multi-dimensional operational data to construct a three-dimensional model, it can restore the actual operating state of the power supply. Combined with test partitioning and priority analysis, it prioritizes solving the performance problems of key partitions such as the core power conversion area and the control and monitoring area, thereby significantly improving the reliability of the communication network.

[0049] The optimal retrofit solution was selected using Monte Carlo simulation, and high-energy-consuming components were specifically optimized, resulting in a reduction in power supply energy efficiency after the retrofit. Simultaneously, by clearly defining the retrofit cycle and cost budget ceiling, blind investment was avoided, shortening the cost recovery period. The iterative optimization mechanism effectively extended the effective service life of the power supply, reduced equipment replacement frequency, and further lowered the total lifecycle cost.

[0050] By replacing the traditional experience-based transformation model with a closed-loop process of data collection, modeling and analysis, solution selection, performance evaluation, and iterative optimization, the transformation process becomes quantifiable and traceable. The system flexibly adjusts zoning and transformation targets based on the power supply's rated power and operating scenarios, adapting to different types of ultra-high voltage communication power supplies. Simultaneously, it integrates advanced algorithms such as the Analytic Hierarchy Process (AHP) and Monte Carlo simulation to provide the industry with a scientific transformation methodology, driving the transformation of communication power supply transformation from experience-driven to data-driven, resulting in significant economic and social benefits. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0052] Figure 1 This is a flowchart illustrating the efficient test-guided ultra-high voltage communication power supply modification method provided in this embodiment of the invention.

[0053] Figure 2 This is a schematic diagram of the process for dividing the target ultra-high voltage communication power supply into test zones in an embodiment of the present invention;

[0054] Figure 3 This is a flowchart illustrating the process of analyzing the performance optimization priorities of different test partitions in an embodiment of the present invention. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0056] The following is combined with Figures 1-3 This invention describes a method for modifying an ultra-high voltage communication power supply for efficient testing.

[0057] Figure 1This is a schematic diagram of the structure of the high-efficiency test-guided ultra-high voltage communication power supply modification method provided in the embodiments of the present invention.

[0058] like Figure 1 As shown in the figure, an embodiment of the present invention provides a method for upgrading an ultra-high voltage communication power supply for high-efficiency testing, comprising:

[0059] Collect multi-dimensional operational data of the target ultra-high voltage communication power supply, integrate and process the multi-dimensional operational data using digital modeling technology, and construct a three-dimensional model of the power supply's operating status.

[0060] Multi-dimensional operational data includes power supply hardware parameters, historical operational data, load characteristic data, environmental impact data, and fault record data. Power supply hardware parameters include transformer rated capacity, rectifier module output power, filter capacitor value, IGBT switching frequency, and cooling system efficiency. Historical operational data includes historical output voltage fluctuation records, peak current data, average power loss, and equipment start-up and shutdown counts. Load characteristic data includes load type, load power variation curve, and load switching frequency. Environmental impact data includes operating ambient temperature range, humidity variation records, dust concentration, and electromagnetic interference intensity. Fault record data includes fault occurrence time, fault type, fault duration, and fault repair plan.

[0061] The process of constructing a 3D model of the power supply's operating state includes:

[0062] Multi-dimensional operational data is categorized and organized, and a structured database containing timestamps and device number indexes is established according to data type. Hardware parameters are associated with unique device identifiers, historical operational data is stored at the hourly level, and load characteristic data is bound to the load loop number.

[0063] Data from the structured database is imported into the power supply simulation modeling software. Based on the power supply hardware parameters, three-dimensional solid models of the transformer, rectifier module, filter circuit and inverter unit are constructed. The initial power supply hardware framework is generated by combining the heat dissipation system structural parameters.

[0064] Based on the voltage and current timing variation patterns in historical operating data, a power supply dynamic operation simulation module is constructed. The loss model and efficiency curve of each hardware unit are determined through data fitting. The dynamic operation module is then integrated with the initial hardware framework to obtain the basic power supply model.

[0065] By combining environmental impact data and fault record data, deviation corrections are made to the basic power supply model. The model parameters are adjusted according to the influence of temperature changes on the IGBT conduction voltage drop. The model fault warning threshold is calibrated based on the operating data at the time of the fault, resulting in a three-dimensional power supply operating state model that reflects the actual operating state of the power supply.

[0066] The target ultra-high voltage communication power supply is divided into test zones based on the three-dimensional model of the power supply's operating status. The performance optimization priority of different test zones is analyzed by combining the hierarchical analysis method with the fuzzy comprehensive evaluation method.

[0067] Figure 2 This is a schematic diagram of the process for dividing the target ultra-high voltage communication power supply into test zones in an embodiment of the present invention.

[0068] like Figure 2 As shown, the process of dividing the target ultra-high voltage communication power supply into test zones based on the three-dimensional model of the power supply's operating status includes:

[0069] Based on the functional boundaries, hardware topology, and operational risk correlation of the target ultra-high voltage communication power supply, and combined with the spatial location and signal interaction relationships of each hardware unit (transformer, rectifier module, filter circuit, inverter unit, and heat dissipation system) in the three-dimensional model of the power supply's operating state, preliminary partition boundaries are delineated. The functional module boundaries are based on the power conversion / transmission function of each unit (e.g., rectifier modules and filter circuits are classified as adjacent partitions due to their direct power transfer relationship). The hardware topology is partitioned by circuit connection nodes (e.g., bus connection points, module interface ends). The operational risk correlation is based on fault propagation path analysis in historical fault data (e.g., overheating faults often propagate from IGBT modules to the heat dissipation system, therefore both are classified into the same risk correlation partition).

[0070] Based on the 3D model of the power supply's operating state, the sensitivity of key operating parameters of each hardware unit is extracted. The coupling degree of parameter response of different hardware units under voltage fluctuations and load changes (e.g., the synchronization rate of the rectifier module output current and filter capacitor voltage changes when the load power changes by 10%) is calculated. If the coupling degree is ≥80%, the corresponding hardware unit is determined to be assigned to the same test zone; if the coupling degree is <30%, it is divided into independent test zones. The initial zone boundaries are optimized to form test zones, which include a core power conversion zone, a power filtering zone, a heat dissipation zone, a control and monitoring zone, and a bus connection zone. The core power conversion zone includes the transformer, rectifier module, and inverter unit. The power filtering zone includes filter capacitors and reactors. The heat dissipation zone includes cooling fans, heat sinks, and temperature sensors. The control and monitoring zone includes digital control chips, parameter acquisition modules, and fault alarm units. The bus connection zone includes input and output buses and circuit breakers.

[0071] Each partition is assigned a unique identifier code (e.g., ZT-01 represents partition 1 of the core power conversion zone) and is marked with different contour lines (solid lines represent the core zone and dashed lines represent the auxiliary zone) in the 3D model of power supply operation status. At the same time, it is associated with the hardware list, historical operation data and fault records of each partition.

[0072] Figure 3This is a flowchart illustrating the process of analyzing the performance optimization priorities of different test partitions in an embodiment of the present invention.

[0073] The process of analyzing the performance optimization priorities of different test partitions using the analytic hierarchy process combined with fuzzy comprehensive evaluation includes:

[0074] Evaluation indicators affecting the performance optimization of ultra-high voltage communication power supplies are established. These indicators include output accuracy deviation rate, energy consumption exceeding limits, stability risk coefficient, and fault occurrence frequency. The output accuracy deviation rate is the percentage difference between the actual output voltage or current and the rated value; the energy consumption exceeding limits is the ratio of actual power loss to the design standard loss; the stability risk coefficient is calculated based on voltage fluctuation amplitude and current surge frequency; and the fault occurrence frequency is the ratio of the number of equipment failures in the region to the total operating time over the past year.

[0075] A judgment matrix was constructed using the analytic hierarchy process (AHP). Based on the degree of influence of each evaluation indicator on the safe operation of the power supply, a 1-9 scale was used to compare the indicators pairwise (1 indicates equal importance, 3 indicates slightly important, 5 indicates significantly important, 7 indicates strongly important, 9 indicates extremely important, and vice versa). The relative importance weight of each evaluation indicator was determined by calculating the largest eigenvalue and eigenvector of the judgment matrix and combining this with a consistency test.

[0076] The fuzzy comprehensive evaluation method is used to determine the membership function of each evaluation indicator. The evaluation indicators for each test partition are quantitatively scored, with the membership degree set as follows: ≤1% for 0 (score 0-20), 1%-3% for 0.5 (score 20-60), and >3% for 1 (score 60-100). Similarly, membership functions and scoring ranges for other indicators are set, and the comprehensive score for optimization priority of each test partition is obtained through weighted summation.

[0077] The priority level of each test partition is determined based on the comprehensive score of the optimization priority. The priority levels include high priority (score ≥ 70 points, requiring priority modification), medium priority (score 30-70 points, to be modified according to plan) and low priority (score < 30 points, modification to be postponed). The priority information is linked to the 3D model of the power supply operation status and visualized with different colors (red for high priority, yellow for medium priority, and green for low priority).

[0078] Multiple power supply retrofit schemes were designed, and the Monte Carlo simulation method combined with a three-dimensional model of the power supply's operating state was used to simulate the impact of various retrofit schemes on the power supply's output parameters, energy consumption, and stability. The optimal retrofit scheme was then selected. The process included:

[0079] Based on the priority level of the test zones, the basic parameters for power supply modification are set. The basic parameters include modification targets for high-priority zones (output accuracy deviation rate ≤1%, energy consumption reduction ≥15%), modification targets for medium-priority zones (output accuracy deviation rate ≤2%, energy consumption reduction ≥10%), and modification targets for low-priority zones (output accuracy deviation rate ≤3%, energy consumption reduction ≥5%). At the same time, the modification construction period (≤15 days for high-priority zones, ≤20 days for medium-priority zones) and the upper limit of the cost budget are specified.

[0080] Based on the three-dimensional model of the power supply's operating status, multiple modification schemes are generated for different priority partitions. High-priority partitions can generate 3-4 schemes, such as replacing high-efficiency IGBT modules and optimizing filter circuits, upgrading digital control chips and adding active cooling systems, and reconstructing inverter topology. Medium and low-priority partitions generate 2-3 schemes. The hardware replacement list, circuit adjustment details, and control strategy optimization content for each modification scheme are clearly defined.

[0081] The Monte Carlo simulation method was used to randomly generate virtual operating condition samples with power load fluctuations and ambient temperature changes. Combined with a three-dimensional model of the power supply operating state, the output voltage stability, current fluctuation amplitude, power loss rate, and overload response time of each modification scheme under different operating conditions were simulated. The performance indicator compliance rate, cost-effectiveness ratio, and risk incidence rate of each modification scheme were calculated. The performance indicator compliance rate includes the proportion of output accuracy compliance times out of the total sample size. The cost-effectiveness ratio represents the ratio of annual energy savings after modification to the total investment in modification. The risk incidence rate represents the proportion of samples that experienced failures after modification.

[0082] A weighted scoring method was used to comprehensively rank the performance indicators compliance rate, cost-effectiveness ratio, and risk occurrence rate. The risk occurrence rate was treated as a reverse indicator, and the scheme with the highest comprehensive score was selected as the optimal renovation scheme.

[0083] The power supply upgrade was carried out according to the optimal upgrade plan. The operating parameters of the upgraded power supply were collected in real time, the operating parameters were preprocessed, and the characteristic indicators of the operating parameters were extracted. The characteristic indicators include output voltage stability, current fluctuation amplitude, power loss rate, and overload response time.

[0084] The process of preprocessing operating parameters includes:

[0085] The wavelet threshold denoising method is used to denoise the operating parameters, removing high-frequency interference signals generated by power grid harmonic interference, sensor noise and electromagnetic radiation, and retaining valid operating data, including voltage, current and power data.

[0086] The sliding window method is used to segment continuous operating parameter data. Abnormal operating segments are identified by setting thresholds to distinguish normal operating data from fault and fluctuation data.

[0087] Extract the characteristic parameters of each normal operation segment, including average voltage, peak current, standard deviation of power loss, and overload response delay time. At the same time, calculate the parameter fluctuation frequency per unit time to form a standardized characteristic index dataset.

[0088] Based on characteristic indicators and combined with a three-dimensional model of the power supply's operating status, the operating characteristics of the upgraded power supply are analyzed to evaluate the actual effectiveness of the upgrade plan. The process includes:

[0089] Based on the characteristic indicators of the upgraded power supply, a comparative analysis is conducted with historical data before the upgrade and the preset upgrade targets to calculate the output accuracy improvement rate, energy consumption reduction rate, stability improvement coefficient, and fault reduction rate.

[0090] The simulation data of the corresponding partition in the 3D model of the power supply's operating status before the modification is retrieved, and the deviation between the actual operating characteristic indicators and the model predictions is analyzed. If the deviation is less than a preset threshold, the modification plan is deemed to be in good agreement with the model predictions. If the deviation is greater than the preset threshold, the cause of the deviation is analyzed and the model parameters are corrected.

[0091] Based on the actual operational requirements of the communication load (such as the voltage stability requirements of base station communication equipment and the current supply continuity requirements of data center servers), evaluate the ability of the upgraded power supply to support the operation of the load, test whether the power supply output parameters meet the rated operating range of the load under scenarios such as load switching and grid voltage fluctuations, and whether there are any load shutdowns / failures caused by power supply problems, and form a comprehensive performance evaluation report.

[0092] The operational characteristic data of the modified power supply are fed back to the three-dimensional model of the power supply's operating status to verify the effectiveness of the optimal modification scheme, and the optimal modification scheme is iteratively optimized based on the verification results.

[0093] The process of verifying the effectiveness of the optimal modification scheme includes:

[0094] The matching degree between the power supply operation characteristic data after the modification and the test zone priority is statistically analyzed according to the preset cycle. The actual performance compliance rate of high priority zone (the proportion of the number of times the output accuracy, energy consumption and other indicators meet the modification target to the total number of statistical times) and the performance compliance rate of medium and low priority zone are calculated.

[0095] If the performance compliance rate of high-priority partitions is lower than the preset compliance rate threshold, the membership function of the evaluation indicators is corrected based on the abnormal data that appears after the transformation. The high-risk threshold of the output accuracy deviation rate is adjusted from 3% to 2.5%, and the weight of each evaluation indicator is recalculated.

[0096] Simultaneously, the operational stability of the modified power supply under extreme conditions (such as high temperature environment, full load operation, and grid voltage drop) is analyzed, the number of faults and the duration of parameter exceedance under extreme conditions are counted, and the adaptability of the modification scheme to extreme conditions is evaluated. If the number of faults under extreme conditions is greater than 2 times / month, it is determined that the modification scheme has shortcomings and needs further optimization.

[0097] The process of iteratively optimizing the optimal modification scheme based on the verification results includes:

[0098] For test zones where performance did not meet standards, adjustments and modifications were made based on the deviation analysis results of the 3D model of the power supply's operating status. If insufficient heat dissipation led to excessive energy consumption, the number of cooling fans was increased or high-efficiency heat sinks were replaced. If output fluctuations were caused by insufficient control algorithm accuracy, the PID control parameters were optimized or a model predictive control algorithm was adopted.

[0099] Based on the revised evaluation index weights, secondary modifications are made to the links in the high-priority partitions where the efficiency improvement has not reached the preset value, such as adding hardware redundancy (e.g., parallel filter capacitors) or optimizing the circuit topology (e.g., using a multi-level inverter structure).

[0100] The iteratively optimized modification scheme is imported into the Monte Carlo simulation system. Simulation verification is performed based on the updated 3D model of the power supply's operating state, simulating extreme operating conditions and load change scenarios until the output accuracy of the modified power supply reaches the preset accuracy, the energy consumption reduction rate reaches the preset target, and the number of extreme operating condition failures is less than the preset frequency, thus forming the final optimized modification scheme.

[0101] In summary, this embodiment provides an efficient test-oriented method for upgrading ultra-high voltage communication power supplies. By collecting multi-dimensional operational data to construct a three-dimensional model, the actual operating state of the power supply can be restored. Combined with test zoning and priority analysis, performance issues of key zones such as the core power conversion zone and the control and monitoring zone are addressed first, significantly improving the reliability of the communication network.

[0102] The optimal retrofit solution was selected using Monte Carlo simulation, and high-energy-consuming components were specifically optimized, resulting in a reduction in power supply energy efficiency after the retrofit. Simultaneously, by clearly defining the retrofit cycle and cost budget ceiling, blind investment was avoided, shortening the cost recovery period. The iterative optimization mechanism effectively extended the effective service life of the power supply, reduced equipment replacement frequency, and further lowered the total lifecycle cost.

[0103] By replacing the traditional experience-based transformation model with a closed-loop process of data collection, modeling and analysis, solution selection, performance evaluation, and iterative optimization, the transformation process becomes quantifiable and traceable. The system flexibly adjusts zoning and transformation targets based on the power supply's rated power and operating scenarios, adapting to different types of ultra-high voltage communication power supplies. Simultaneously, it integrates advanced algorithms such as the Analytic Hierarchy Process (AHP) and Monte Carlo simulation to provide the industry with a scientific transformation methodology, driving the transformation of communication power supply transformation from experience-driven to data-driven, resulting in significant economic and social benefits.

[0104] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0105] 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 them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for upgrading an ultra-high voltage communication power supply for high-efficiency testing, characterized in that, include: Collect multi-dimensional operational data of the target ultra-high voltage communication power supply, integrate and process the multi-dimensional operational data using digital modeling technology, and construct a three-dimensional model of the power supply's operational status. The multi-dimensional operational data includes power supply hardware parameters, historical operational data, load characteristic data, environmental impact data, and fault record data. The power supply hardware parameters include transformer rated capacity, rectifier module output power, filter capacitor value, IGBT switching frequency, and cooling system efficiency. The historical operational data includes historical output voltage fluctuation records, peak current data, average power loss, and equipment start-up and shutdown counts. The load characteristic data includes load type, load power variation curve, and load switching frequency. The environmental impact data includes operating environment temperature range, humidity variation records, dust concentration, and electromagnetic interference intensity. The fault record data includes fault occurrence time, fault type, fault duration, and fault repair plan. Based on the three-dimensional model of the power supply's operating status, the target ultra-high voltage communication power supply is divided into test zones. The hierarchical analysis method combined with the fuzzy comprehensive evaluation method is used to analyze the performance optimization priority of different test zones. Multiple power supply modification schemes were set up, and the Monte Carlo simulation method was used in combination with the three-dimensional model of the power supply's operating state to simulate the impact of the various power supply modification schemes on the power supply output parameters, energy consumption and stability, and the optimal modification scheme was selected. The power supply modification project was carried out according to the optimal modification plan. The operating parameters of the modified power supply were collected in real time. The operating parameters were preprocessed and the characteristic indicators of the operating parameters were extracted. The characteristic indicators include output voltage stability, current fluctuation amplitude, power loss rate and overload response time. Based on the aforementioned characteristic indicators, and combined with the three-dimensional model of the power supply's operating status, the operating characteristics of the modified power supply are analyzed to evaluate the actual effectiveness of the modification scheme. The operational characteristic data of the modified power supply are fed back to the three-dimensional model of the power supply's operating status to verify the effectiveness of the optimal modification scheme, and the optimal modification scheme is iteratively optimized based on the verification results.

2. The high-efficiency test-guided ultra-high voltage communication power supply modification method according to claim 1, characterized in that, The process of constructing a 3D model of the power supply's operating state includes: The multi-dimensional operational data is categorized and organized, and a structured database containing timestamps and device number indexes is established according to data types. The data in the structured database is imported into the power supply simulation modeling software. Based on the power supply hardware parameters, a three-dimensional solid model of the transformer, rectifier module, filter circuit and inverter unit is constructed. The initial power supply hardware framework is generated by combining the heat dissipation system structural parameters. Based on the voltage and current timing variation patterns in historical operating data, a power supply dynamic operation simulation module is constructed. The loss model and efficiency curve of each hardware unit are determined through data fitting. The dynamic operation module is then integrated with the initial hardware framework to obtain the basic power supply model. By combining the environmental impact data and fault record data, the basic power supply model is corrected for deviations, resulting in a three-dimensional power supply operating state model that reflects the actual operating state of the power supply.

3. The high-efficiency test-guided ultra-high voltage communication power supply modification method according to claim 1, characterized in that, The process of dividing the target ultra-high voltage communication power supply into test zones based on the three-dimensional model of the power supply's operating status includes: Based on the functional boundaries, hardware topology, and operational risk correlation of the target ultra-high voltage communication power supply, and combined with the spatial location and signal interaction relationship of each hardware unit in the three-dimensional model of the power supply's operating status, preliminary partition boundaries are delineated. Based on the three-dimensional model of the power supply's operating state, the sensitivity of key operating parameters of each hardware unit is extracted. By calculating the parameter response coupling degree of different hardware units under voltage fluctuation and load change conditions, the preliminary partition boundary is optimized to form a test partition. The test partition includes a core power conversion area, a power filtering area, a heat dissipation protection area, a control and monitoring area, and a bus connection area.

4. The high-efficiency test-guided ultra-high voltage communication power supply modification method according to claim 1, characterized in that, The process of analyzing the performance optimization priorities of different test partitions using the analytic hierarchy process combined with fuzzy comprehensive evaluation includes: Evaluation indicators affecting the performance optimization of ultra-high voltage communication power supplies are set, including output accuracy deviation rate, energy consumption exceeding the standard, stability risk coefficient and failure frequency; A judgment matrix was constructed using the analytic hierarchy process (AHP). Based on the degree of influence of each evaluation index on the safe operation of the power supply, the scaling method was used to compare the indexes pairwise to form the judgment matrix. The relative importance weights of each evaluation index are determined by calculating the maximum eigenvalue and eigenvector of the judgment matrix and combining them with a consistency test. The membership function of each evaluation index is determined by the fuzzy comprehensive evaluation method, and the evaluation index of each test partition is quantitatively scored. Similarly, the membership functions and scoring intervals of other indicators are set, and the comprehensive score of optimization priority for each test partition is obtained by weighted summation; The priority level of each test partition is determined based on the comprehensive score of the optimization priority. The priority level includes high priority, medium priority and low priority. The priority information is associated with the three-dimensional model of the power supply operation status and displayed in different colors.

5. The high-efficiency test-guided ultra-high voltage communication power supply modification method according to claim 4, characterized in that, The process of selecting the optimal modification plan includes: The basic parameters for power supply modification are set according to the priority level of the test zone. The basic parameters include modification targets for high-priority zones, medium-priority zones, and low-priority zones. At the same time, the modification construction period and cost budget upper limit are specified. Based on the three-dimensional model of the power supply's operating state, multiple modification schemes are generated for different priority zones, and the hardware replacement list, circuit adjustment details, and control strategy optimization content for each modification scheme are clearly defined. The Monte Carlo simulation method was used to randomly generate virtual operating condition samples of power load fluctuation and ambient temperature change. Combined with the three-dimensional model of power supply operation status, the output voltage stability, current fluctuation amplitude, power loss rate and overload response time of each modification scheme under different operating conditions were simulated. The performance index compliance rate, cost-effectiveness ratio and risk occurrence rate of each modification scheme were calculated. The performance indicators compliance rate, cost-effectiveness ratio, and risk occurrence rate are comprehensively ranked using a weighted scoring method, with the risk occurrence rate treated as a reverse indicator. The scheme with the highest comprehensive score is selected as the optimal modification scheme.

6. The high-efficiency test-guided ultra-high voltage communication power supply modification method according to claim 1, characterized in that, The process of preprocessing the operating parameters includes: The operating parameters, including voltage, current, and power data, are denoised using wavelet threshold denoising. The sliding window method is used to segment continuous operating parameter data. Abnormal operating segments are identified by setting thresholds to distinguish normal operating data from fault and fluctuation data. Extract the characteristic parameters of each normal operation segment, including average voltage, peak current, standard deviation of power loss, and overload response delay time. At the same time, calculate the parameter fluctuation frequency per unit time to form a standardized characteristic index dataset.

7. The high-efficiency test-guided ultra-high voltage communication power supply modification method according to claim 1, characterized in that, The process of evaluating the actual effectiveness of the renovation plan includes: Based on the characteristic indicators of the upgraded power supply, the data are compared and analyzed with the historical data before the upgrade and the preset upgrade targets to calculate the output accuracy improvement rate, energy consumption reduction rate, stability improvement coefficient and failure reduction rate. The simulation data of the corresponding partition in the 3D model of the power supply operation status before the modification is called, and the deviation analysis is performed between the actual operation characteristic index and the model prediction value. If the deviation is less than the preset threshold, it is determined that the modification plan is in good consistency with the model prediction; if the deviation is greater than the preset threshold, the cause of the deviation is analyzed and the model parameters are corrected. Based on the actual operational requirements of the communication load, assess the power supply's ability to support the load operation after the upgrade, and generate a comprehensive performance evaluation report.

8. The method for upgrading a high-efficiency test-guided ultra-high voltage communication power supply according to claim 1, characterized in that, The process of verifying the effectiveness of the optimal modification scheme includes: The matching degree between the power supply operation characteristic data after the modification and the test partition priority is statistically analyzed according to the preset cycle, and the actual performance compliance rate of high priority partition and the performance compliance rate of medium and low priority partition are calculated. If the actual performance compliance rate of the high-priority partition is lower than the preset compliance rate threshold, the membership function of the evaluation indicators is corrected based on the abnormal data that appears after the transformation, and the weight of each evaluation indicator is recalculated.

9. The method for upgrading a high-efficiency test-guided ultra-high voltage communication power supply according to claim 1, characterized in that, The process of iteratively optimizing the optimal modification scheme based on the verification results includes: For test zones where performance did not meet standards, adjustments and modifications were made based on the deviation analysis results of the three-dimensional model of the power supply's operating status. Based on the revised evaluation index weights, secondary modifications will be made to the links in the high-priority partitions where the efficiency improvement has not reached the preset value. The iteratively optimized modification scheme is imported into the Monte Carlo simulation system. Simulation verification is performed based on the updated 3D model of the power supply's operating state, simulating extreme operating conditions and load change scenarios until the output accuracy of the modified power supply reaches the preset accuracy, the energy consumption reduction rate reaches the preset target, and the number of extreme operating condition failures is less than the preset frequency, thus forming the final optimized modification scheme.

Images