Communication power supply monitoring method and system

Abstract

The present invention relates to the field of data processing technology, and in particular to a communication power supply monitoring method and system, comprising: obtaining the dissimilarity between two adjacent initial curve segments according to the output power required by each initial curve segment on the power supply power curve; merging all initial curve segments according to the dissimilarity between the two adjacent initial curve segments to obtain a plurality of target curve segments; screening out a plurality of similar curve segments from the target curve segment according to the load variation within each target curve segment on the power supply power curve; obtaining a droop coefficient adjustment index at the current moment according to the APCA approximate data value of each initial curve segment on the power supply power curve and the degree of need for a droop control strategy at the current moment; and monitoring the communication power supply according to the droop coefficient adjustment index at the current moment. The present invention improves the accuracy of monitoring the communication power supply.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a communication power supply monitoring method and system. Background Art

[0002] With the development of science and technology, communication equipment has put forward new requirements for the output power and reliability of communication power supplies. As the amount of data processed by communication equipment increases, its requirements for the quality of communication power supply are also increasing. Therefore, it is necessary to adjust the output power of the communication power supply according to different load conditions so that the power supply can stably and efficiently supply power to the communication equipment, avoid waste or insufficient power of the communication power supply, and thus affect the performance and safety of the communication system. Since the amount of data processed by communication equipment in different time periods is different, the actual load of the communication power supply will also change accordingly, which will affect the performance and safety of the communication power supply and reduce the accuracy of monitoring the power supply of the communication power supply. Summary of the invention

[0003] The present invention provides a communication power supply monitoring method and system to solve the problem that the actual load of the communication power supply will change due to the different amounts of data processed by the communication equipment in different time periods, thereby reducing the accuracy of monitoring the communication power supply.

[0004] A communication power supply monitoring method and system of the present invention adopts the following technical solutions:

[0005] An embodiment of the present invention provides a communication power supply monitoring method, the method comprising the following steps:

[0006] Obtaining a power curve of a communication power supply, wherein the abscissa of the power curve is time, and the ordinate is power data;

[0007] The power curve of the power supply is divided into a number of initial curve segments, and the APCA approximate data value of each initial curve segment is obtained; according to the APCA approximate data value of each initial curve segment on the power curve of the power supply and the power data, the fluctuation degree of each initial curve segment is obtained;

[0008] According to the fluctuation degree and power data of each initial curve segment on the power supply power curve, the output power degree required for each initial curve segment is obtained; according to the output power degree required for each initial curve segment on the power supply power curve, the dissimilarity degree of two adjacent initial curve segments is obtained; according to the dissimilarity degree of two adjacent initial curve segments, all initial curve segments are merged to obtain several target curve segments;

[0009] According to the number of initial curve segments in each target curve segment on the power curve of the power source and the difference in the degree of dissimilarity between adjacent initial curve segments, the degree of load change in each target curve segment is obtained;

[0010] According to the load change degree in each target curve segment on the power curve, several similar curve segments are screened out from the target curve segment; according to the load change degree difference between all similar curve segments and the last target curve segment, the need for the droop control strategy at the current moment is obtained;

[0011] According to the APCA approximate data value of each initial curve segment on the power curve and the need for the droop control strategy at the current moment, the droop coefficient adjustment index at the current moment is obtained; according to the droop coefficient adjustment index at the current moment, the communication power supply is monitored.

[0012] Preferably, the fluctuation degree of each initial curve segment is obtained according to the APCA approximate data value and power data of each initial curve segment on the power supply power curve, and the specific formula included is as follows:

[0013]

[0014] In the formula, u j Indicates the fluctuation degree of the jth initial curve segment on the power curve; s j Represents the standard deviation of all power data in the jth initial curve segment on the power curve; a j Represents the APCA approximate data value of the jth initial curve segment on the power curve of the power source; It represents the mean of the APCA approximate data values ​​of all initial curve segments on the power curve of the power supply; || is the absolute value function.

[0015] Preferably, the output power required for each initial curve segment is obtained according to the fluctuation degree and power data of each initial curve segment on the power supply power curve, including the specific formula as follows:

[0016]

[0017] In the formula, v j Indicates the degree of output power required for the jth initial curve segment on the power curve; u j Indicates the degree of fluctuation of the jth initial curve segment on the power curve; It represents the average value of the fluctuation degree of all initial curve segments on the power curve of the power supply; Represents the mean value of all power data in the jth initial curve segment on the power curve of the power supply; Indicates the mean value of all power data on the power curve; It represents the mean value of the tangent slope of all data points selected on the jth initial curve segment of the power curve.

[0018] Preferably, the step of obtaining the dissimilarity between two adjacent initial curve segments according to the output power level required for each initial curve segment on the power supply power curve comprises the following specific steps:

[0019] Ratio the absolute value of the difference between the output power levels required by the j-th and j-1-th initial curve segments on the power supply power curve to the average of the absolute values ​​of the difference between the output power levels required by all adjacent initial curve segments, and record the normalized result of the ratio as the degree of dissimilarity between the j-th and j-1-th initial curve segments on the power supply power curve.

[0020] Preferably, the step of merging all initial curve segments according to the dissimilarity between two adjacent initial curve segments to obtain a plurality of target curve segments includes the following specific steps:

[0021] On the power curve, when the dissimilarity between the first and second initial curve segments is greater than or equal to a preset threshold value b, the first initial curve segment is recorded as the first target curve segment; when the dissimilarity between the first and second initial curve segments is less than the preset threshold value b, continue to judge whether the dissimilarity between the second and third initial curve segments is less than the preset threshold value b, until the dissimilarity between the xth and x+1th initial curve segments is greater than or equal to the preset threshold value b, merge the first to xth initial curve segments to obtain the first target curve segment;

[0022] Starting from the initial curve segment adjacent to the first target curve segment, the second target curve segment is obtained according to the method of obtaining the first target curve segment; and by analogy, the power curve of the power supply is divided into a plurality of target curve segments.

[0023] Preferably, the load variation degree in each target curve segment is obtained according to the number of initial curve segments in each target curve segment on the power supply power curve and the difference in the degree of dissimilarity between adjacent initial curve segments, and the specific formula included is as follows:

[0024]

[0025] In the formula, r k Indicates the load variation degree within the kth target curve segment on the power curve; n k Indicates the number of initial curve segments contained in the kth target curve segment on the power curve of the power source; Indicates the number of all initial curve segments on the power curve; V k，i Indicates the dissimilarity between the i-th initial curve segment and the adjacent previous initial curve segment in the k-th target curve segment on the power curve; V k，i+1It represents the degree of dissimilarity between the i+1th initial curve segment and the adjacent previous initial curve segment within the kth target curve segment on the power curve; || is the absolute value function.

[0026] Preferably, the method of selecting a plurality of similar curve segments from the target curve segment according to the load variation degree in each target curve segment on the power supply power curve comprises the following specific steps:

[0027] According to the load change degree in the last target curve segment on the power curve and the load change degree in the kth target curve segment, the difference in load change degree between the kth target curve segment and the last target curve segment is obtained;

[0028] On the power curve, when the difference in load change between the kth target curve segment and the last target curve segment is less than a preset threshold value b, the kth target curve segment is recorded as a similar curve segment.

[0029] Preferably, the need for the droop control strategy at the current moment is obtained according to the load change degree difference between all similar curve segments and the last target curve segment, and the specific formula included is as follows:

[0030]

[0031] Where q represents the need for the droop control strategy at the current moment; t s It represents the sum of the intervals between all adjacent similar curve segments on the power curve; δ′ represents the sum of the differences in load change between all similar curve segments on the power curve and the last target curve segment; represents the average duration of all similar curve segments on the power curve; m represents the number of all similar curve segments on the power curve; It represents the average value of the load variation degree of all similar curve segments on the power curve of the power supply; Indicates the average value of the load variation degree of all target curve segments on the power curve of the power supply.

[0032] Preferably, the droop coefficient adjustment index at the current moment is obtained according to the APCA approximate data value of each initial curve segment on the power curve and the need for the droop control strategy at the current moment, and the specific formula included is as follows:

[0033]

[0034] In the formula, p represents the droop coefficient adjustment index at the current moment; q represents the degree of need for the droop control strategy at the current moment; It represents the mean value of the APCA approximate data values ​​of all initial curve segments within the last target curve segment on the power curve of the power source; It represents the mean value of the APCA approximate data values ​​of all initial curve segments within the second to last target curve segment on the power curve; a m It represents the APCA approximate data value of the last initial curve segment on the power curve of the power supply; norm() is the normalization function.

[0035] The present invention also proposes a communication power supply monitoring system, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program stored in the memory to implement the steps of the aforementioned communication power supply monitoring method.

[0036] The beneficial effect of the technical solution of the present invention is: by analyzing the load conditions of the communication power supply at different times, the degree of need of the communication equipment for the power output power at different periods is obtained, the accuracy of the prior art for the control of the output power of the communication power supply is optimized, which is conducive to the efficient use of resources, avoiding the waste of power resources, and enabling the communication power supply to operate stably and efficiently. According to the fluctuation degree and power data of each initial curve segment on the power supply power curve, the degree of output power required for each initial curve segment is obtained; according to the output power required for each initial curve segment on the power supply power curve, the degree of dissimilarity between two adjacent initial curve segments is obtained; according to the degree of dissimilarity between two adjacent initial curve segments, all initial curve segments are merged to obtain several target curve segments; according to the number of initial curve segments in each target curve segment on the power supply power curve and the difference in the degree of dissimilarity between adjacent initial curve segments, the degree of load change in each target curve segment is obtained; according to the degree of load change in each target curve segment on the power supply power curve, several similar curve segments are screened out from the target curve segment; according to the difference in the degree of load change between all similar curve segments and the last target curve segment, the degree of need for the droop control strategy at the current moment is obtained. The droop control strategy is improved by optimizing the droop coefficient, thereby achieving more precise control of the output power of the communication power supply and improving the working efficiency of the communication power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 A flow chart of the steps of a communication power supply monitoring method of the present invention;

[0039] Figure 2A power curve of a communication power supply provided in this embodiment. DETAILED DESCRIPTION

[0040] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a communication power supply monitoring method and system proposed by the present invention, its specific implementation, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0041] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0042] The specific scheme of a communication power supply monitoring method and system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0043] See also Figure 1 , which shows a flow chart of a method for monitoring power supply of a communication power supply provided by an embodiment of the present invention, the method comprising the following steps:

[0044] Step S001: obtaining a power curve of a communication power supply; wherein the horizontal axis of the power curve is time, and the vertical axis is power data.

[0045] It should be noted that, since the amount of data that the communication equipment needs to process varies in different time periods, the actual load of the communication power supply also varies accordingly.

[0046] A power tester is used to obtain power data. This embodiment measures the load of the power supply within 24 hours starting from 0:00 on working days and weekends, and collects data every 10 minutes. This is described in detail.

[0047] Construct a coordinate system, where the horizontal axis is time, the unit is hour (h), and the vertical axis is power data, the unit is kilowatt (KW), such as Figure 2 shown.

[0048] It should be noted that the coordinate system is constructed with the power increasing direction as the positive direction of the ordinate axis and the timing increasing direction as the positive direction of the abscissa axis.

[0049] A power curve of the communication power supply is obtained, wherein the abscissa of the power curve is time, and the ordinate is power data.

[0050] Step S002: Divide the power curve of the power supply into several initial curve segments, and obtain the APCA approximate data value of each initial curve segment; obtain the fluctuation degree of each initial curve segment according to the APCA approximate data value of each initial curve segment on the power curve of the power supply and the power data.

[0051] It should be noted that the curve segments are obtained by the APCA segmentation method, the curve segments are merged according to the similarity of the power load levels between the curve segments, the target curve segments are obtained, and the adjustment index of the droop control is obtained according to the output power requirements of different load conditions in the target curve segments.

[0052] It should be noted that due to the uneven amount of data that the communication equipment needs to process in different time periods, the load of the communication power supply will also change during the actual power supply process, that is, the load of the communication power supply is fluctuating within a day, so the load curve obtained will also fluctuate. In order to analyze the load change trend of the communication power supply in different time periods, the curve is segmented by the APCA segmentation method to obtain multiple sequences with similar changes, and the fluctuation index of each segment is calculated.

[0053] The power curve of the power supply is segmented by using the APCA segmentation method to obtain several initial curve segments, and the APCA approximate data value of each initial curve segment is obtained;

[0054] Among them, the APCA segmentation method is a well-known technology, and the specific method will not be introduced here.

[0055] The calculation method of the fluctuation degree of the jth initial curve segment on the power supply power curve is as follows:

[0056]

[0057] In the formula, u j Indicates the fluctuation degree of the jth initial curve segment on the power curve; s j Represents the standard deviation of all power data in the jth initial curve segment on the power curve; a j Represents the APCA approximate data value of the jth initial curve segment on the power curve of the power source; It represents the mean of the APCA approximate data values ​​of all initial curve segments on the power curve of the power supply; || is the absolute value function.

[0058] It should be noted that s j It represents the standard deviation of all power data in the jth initial curve segment on the power curve. The larger the value is, the more unstable the data in the initial curve segment is. Represents the difference between the APCA approximate data value of the jth initial curve segment on the power curve and the APCA approximate data value of the overall curve; The larger the difference is as a percentage of the overall mean, the greater the volatility of that initial curve segment relative to the overall curve.

[0059] At this point, the fluctuation degree of each initial curve segment on the power curve of the power supply is obtained.

[0060] Step S003: According to the fluctuation degree and power data of each initial curve segment on the power supply power curve, the output power degree required for each initial curve segment is obtained; according to the output power degree required for each initial curve segment on the power supply power curve, the dissimilarity degree between two adjacent initial curve segments is obtained; according to the dissimilarity degree between two adjacent initial curve segments, all initial curve segments are merged to obtain several target curve segments.

[0061] What needs to be explained is that the obtained fluctuation index is combined with the curve segment characteristics to analyze the degree of need of communication equipment for power output power under different load levels, and the initial curve segments with similar needs are merged, and the degree of communication power output power that needs to be adjusted is analyzed based on the differences between the curve segments.

[0062] It should be noted that, according to the above analysis, since the communication equipment needs to be powered by a communication power supply, the communication demand within the coverage area of ​​the communication equipment is strong, that is, when the amount of data that the communication equipment needs to process increases, the communication equipment needs to consume more power to process the communication demand. Therefore, the input power required by the communication equipment increases, resulting in an increase in the required power output power of the power supply. Therefore, when the load of the communication equipment decreases, the output power of the power supply will also decrease. The target curve segment is obtained by merging the similarities of the power output descriptions of different curve segments.

[0063] It should be noted that the load change degree at different times is analyzed according to the difference in the fluctuation degree and curve segment characteristics between different curve segments, and the initial curve segments with similar change degrees are merged to obtain the target curve segment. The greater the fluctuation degree of the initial curve segment, the more unstable the load degree at this stage, and the greater the tangent slope of the initial curve segment, the faster the load degree changes during this time period. The initial curve segments with similar load degrees are merged to obtain the target curve segment.

[0064] The preset value a is 0.5, and data points are randomly selected in each initial curve segment on the power curve, where the number of randomly selected data points accounts for the number of all data points in each initial curve segment is greater than the preset value a, and the tangent slopes of all selected data points are calculated.

[0065] The tangent slope of the data point is a well-known technique, and the specific method will not be introduced here.

[0066] The degree of output power required for the jth initial curve segment on the power supply power curve is calculated as follows:

[0067]

[0068] In the formula, v j Indicates the degree of output power required for the jth initial curve segment on the power curve; u j Indicates the degree of fluctuation of the jth initial curve segment on the power curve; It represents the average value of the fluctuation degree of all initial curve segments on the power curve of the power supply; Represents the mean value of all power data in the jth initial curve segment on the power curve of the power supply; Indicates the mean value of all power data on the power curve; It represents the mean value of the tangent slope of all data points selected on the jth initial curve segment of the power curve.

[0069] What needs to be explained is that The larger the ratio of the fluctuation degree of the jth initial curve segment to the overall curve, the more unstable the power change of the initial curve segment; The larger it is, the faster the load changes.

[0070] Ratio the absolute value of the difference between the output power levels required by the j-th and j-1-th initial curve segments on the power supply power curve to the average of the absolute values ​​of the difference between the output power levels required by all adjacent initial curve segments, and record the normalized result of the ratio as the degree of dissimilarity between the j-th and j-1-th initial curve segments on the power supply power curve.

[0071] The specific calculation method of the dissimilarity between the jth and j-1th initial curve segments on the power curve of the power supply is as follows:

[0072]

[0073] Where V j,j-1 Indicates the degree of dissimilarity between the jth and j-1th initial curve segments on the power curve; Indicates the mean of the absolute values ​​of the differences in the output power required by all adjacent initial curve segments on the power curve; v j Indicates the degree of output power required for the jth initial curve segment on the power curve; v j-1 It indicates the degree of output power required for the j-1th initial curve segment on the power curve of the power supply; || is the absolute value function; norm() is the normalization function.

[0074] What needs to be explained is that |v j -v j-1| represents the difference in the degree of output power required by the j-th and j-1-th initial curve segments; the smaller the difference, the higher the similarity between the j-th and j-1-th initial curve segments; the larger the difference, the lower the similarity between the j-th and j-1-th initial curve segments, and the higher the dissimilarity; wherein j is not the preset value c, and the preset value c is 1.

[0075] According to the above method, the dissimilarity degree between any two adjacent initial curve segments is obtained.

[0076] On the power curve, the preset threshold value b is 0.3; when the dissimilarity between the first and second initial curve segments is greater than or equal to the preset threshold value b, the first initial curve segment is recorded as the first target curve segment. When the dissimilarity between the first and second initial curve segments is less than the preset threshold value b, continue to judge whether the dissimilarity between the second and third initial curve segments is less than the preset threshold value b, until the dissimilarity between the xth and x+1th initial curve segments is greater than or equal to the preset threshold value b, then merge the first to xth initial curve segments to obtain the first target curve segment.

[0077] Starting from the initial curve segment adjacent to the first target curve segment, the second target curve segment is obtained according to the method of obtaining the first target curve segment. Similarly, the power curve of the power supply is divided into several target curve segments.

[0078] At this point, several target curve segments are obtained.

[0079] Step S004: according to the number of initial curve segments in each target curve segment on the power supply power curve and the difference in the degree of dissimilarity between adjacent initial curve segments, the degree of load change in each target curve segment is obtained; according to the degree of load change in each target curve segment on the power supply power curve, a number of similar curve segments are screened out from the target curve segment; according to the difference in the degree of load change between all similar curve segments and the last target curve segment, the degree of need for the droop control strategy at the current moment is obtained.

[0080] It should be noted that due to the unstable communication demand within the coverage of the communication equipment, that is, the communication demand may suddenly increase within the coverage and continue to fluctuate for a long period of time, or the communication demand may be relatively stable for a long time, and the communication demand may suddenly change from a certain moment. In order to obtain the degree of need for adjustment of the droop control coefficient due to the imbalance of the amount of data that the above communication equipment needs to process, the difference in load conditions within the target curve segment corresponding to the current moment and the difference between the target curve segments are analyzed to obtain the stability of the load condition of the current curve segment. The more unstable the load condition of the current curve segment is, the more it needs to adjust the droop control strategy, and then the degree of need for the droop control strategy under different loads is obtained.

[0081] It should be noted that, taking the target curve segment at the current moment as an example, the stability of the power load in the current period is analyzed according to the difference in similarity between the initial curve segments in the target curve segment and the number of initial curve segments. The greater the difference in similarity between the initial curve segments in the target curve segment corresponding to the current moment, the greater the number of initial curve segments in the target curve segment, and the more unstable the load.

[0082] The calculation method of the load variation degree within the kth target curve segment on the power supply power curve is as follows:

[0083]

[0084] In the formula, r k Indicates the load variation degree within the kth target curve segment on the power curve; n k Indicates the number of initial curve segments contained in the kth target curve segment on the power curve of the power source; Indicates the number of all initial curve segments on the power curve; V k,i Indicates the dissimilarity between the i-th initial curve segment and the adjacent previous initial curve segment in the k-th target curve segment on the power curve; V k，i+1 It represents the degree of dissimilarity between the i+1th initial curve segment and the adjacent previous initial curve segment within the kth target curve segment on the power curve; || is the absolute value function.

[0085] What needs to be explained is that The larger the target curve segment is, the more unstable the power load is during the time corresponding to the target curve segment. It represents the sum of the differences in the dissimilarity of the adjacent initial curve segments in the kth target curve segment. The larger the value, the more dissimilar the loads of all adjacent initial curve segments in the kth target curve segment are. Therefore, r k The larger the value, the greater the load variation within the kth target curve segment. k When it is less than 3, in this embodiment, r k is 0, and this example is used for description.

[0086] It should be noted that the need for the droop control strategy at the current moment is analyzed according to the difference in the degree of load change between the target curve segments.

[0087] The calculation method of the difference between the load change degree of the kth target curve segment and the last target curve segment on the power curve of the power supply is as follows:

[0088] δ k =norm(|rr k |)

[0089] In the formula, δ krepresents the difference between the load change degree of the kth target curve segment and the last target curve segment on the power curve; r represents the load change degree within the last target curve segment on the power curve; r k It represents the load change degree within the kth target curve segment on the power curve of the power supply; || is the absolute value function; norm() is the normalization function.

[0090] What needs to be explained is that δ k The smaller it is, the smaller the difference in output power required by the two target curve segments is. Where k is not equal to the number of target curve segments.

[0091] On the power curve, when the difference in load change between the kth target curve segment and the last target curve segment is less than a preset threshold b, the two target curve segments are considered to be more similar, and the kth target curve segment is recorded as a similar curve segment.

[0092] At this point, all similar curve segments on the power curve of the power supply are obtained.

[0093] What needs to be explained is that, the more similar curve segments appear, the longer the time of a single curve segment, the shorter the interval between curve segments, the longer the power load state corresponding to the current moment is maintained, the smaller the difference in load change degree of similar curve segments, the more consistent the load degree between similar curve segments, the greater the average load change degree of similar curve segments, and the more unstable the power load degree.

[0094] All similar curve segments are traversed in time sequence, and the interval between similar curve segments is: the time interval between the end time of the previous similar curve segment and the start time of the next similar curve segment.

[0095] The calculation method for the need for the droop control strategy at the current moment is as follows:

[0096]

[0097] Where q represents the need for the droop control strategy at the current moment; t s represents the sum of the intervals between all adjacent similar curve segments on the power curve; δ represents the sum of the differences in load change between all similar curve segments on the power curve and the last target curve segment; represents the average duration of all similar curve segments on the power curve; m represents the number of all similar curve segments on the power curve; It represents the average value of the load variation degree of all similar curve segments on the power curve of the power supply; Indicates the average value of the load variation degree of all target curve segments on the power curve of the power supply.

[0098] What needs to be explained is that Indicates the duration of the current load condition. The larger the value, the longer the current state is maintained and the more consistent the load changes between curve segments. The larger it is, the greater the variation in the power supply load.

[0099] So far, the need for the droop control strategy at the current moment is obtained.

[0100] Step S005: According to the APCA approximate data value of each initial curve segment on the power curve and the need for the droop control strategy at the current moment, the droop coefficient adjustment index at the current moment is obtained; according to the droop coefficient adjustment index at the current moment, the communication power supply is monitored.

[0101] It should be noted that, based on the above-obtained need for the droop control strategy at the current moment, the adjustment index of the droop control is obtained in combination with the difference in the power load of the last target curve segment. The greater the difference in the power load, the greater the amplitude of the power output power that needs to be adjusted at the current moment, the greater the need for the droop control strategy at the current moment, and the greater the adjustment amplitude of the droop control.

[0102] The calculation method of the droop adjustment output power index at the current moment is as follows:

[0103]

[0104] In the formula, p represents the droop coefficient adjustment index at the current moment; q represents the degree of need for the droop control strategy at the current moment; It represents the mean value of the APCA approximate data values ​​of all initial curve segments within the last target curve segment on the power curve of the power source; It represents the mean value of the APCA approximate data values ​​of all initial curve segments within the second to last target curve segment on the power curve; a m It represents the APCA approximate data value of the last initial curve segment on the power curve; norm() is a normalization function so that its value range is between [-1, 1].

[0105] What needs to be explained is that The larger the value, the greater the difference between the last target curve segment and the second to last target curve segment. The greater the difference, the greater the adjustment required. It represents the ratio of the APCA approximate data value of the last initial curve segment to the average of the APCA approximate data values ​​of all initial curve segments in the last target curve segment. The larger the ratio is, the greater the adjustment required is.

[0106] It should be noted that when p is positive, it indicates that the current load level is reduced and the output power of the power supply needs to be reduced. When p is negative, it indicates that the current load level is increased and the output power of the power supply needs to be increased. The absolute value of p indicates the amplitude that needs to be adjusted.

[0107] Get the standard droop factor of the communication power supply;

[0108] It should be noted that the droop coefficient of the communication power supply is calculated and evaluated based on factors such as specific cables, loads and power supply equipment.

[0109] The above obtains the droop coefficient adjustment index at the current moment. The positive or negative value of the index indicates a decrease or increase in the droop coefficient. The absolute value of the index indicates the adjustment amplitude of the droop coefficient. The standard droop coefficient of the communication power supply is adjusted using the droop coefficient adjustment index at the current moment. The new droop coefficient at the current moment is obtained, and then the droop control is performed to adjust the load of the communication power supply.

[0110] It should be noted that droop control is a commonly used technology in power engineering, providing important technical support for ensuring stable operation of equipment. The droop coefficient is a very important technical parameter in power engineering and electronic equipment design, which directly affects the efficiency of power transmission and the stability of equipment. Through reasonable design and calculation, the droop coefficient can be effectively controlled to ensure the reliability and performance of the system.

[0111] Among them, droop control and droop coefficient are well-known technologies, and the specific methods are not introduced here.

[0112] What needs to be explained is that the droop control strategy is improved by optimizing the droop coefficient; the output power of the communication power supply is adjusted under different load conditions through droop control, so that the communication equipment can operate stably, the output power of the communication power supply can be more accurately controlled, and the working efficiency of the communication power supply can be improved.

[0113] An embodiment of the present invention further provides a communication power supply monitoring system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above steps S001 to S005 when executing the computer program.

[0114] At this point, this embodiment is completed.

[0115] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A communication power supply monitoring method, characterized in that: The method comprises the following steps: Obtaining a power curve of a communication power supply, wherein the abscissa of the power curve is time, and the ordinate is power data; The power curve of the power supply is divided into a number of initial curve segments, and the APCA approximate data value of each initial curve segment is obtained; according to the APCA approximate data value of each initial curve segment on the power curve of the power supply and the power data, the fluctuation degree of each initial curve segment is obtained; According to the fluctuation degree and power data of each initial curve segment on the power supply power curve, the output power degree required for each initial curve segment is obtained; according to the output power degree required for each initial curve segment on the power supply power curve, the dissimilarity degree of two adjacent initial curve segments is obtained; according to the dissimilarity degree of two adjacent initial curve segments, all initial curve segments are merged to obtain several target curve segments; According to the number of initial curve segments in each target curve segment on the power curve of the power source and the difference in the degree of dissimilarity between adjacent initial curve segments, the degree of load change in each target curve segment is obtained; According to the load change degree in each target curve segment on the power curve, several similar curve segments are screened out from the target curve segment; according to the load change degree difference between all similar curve segments and the last target curve segment, the need for the droop control strategy at the current moment is obtained; According to the APCA approximate data value of each initial curve segment on the power curve and the need for the droop control strategy at the current moment, the droop coefficient adjustment index at the current moment is obtained; according to the droop coefficient adjustment index at the current moment, the communication power supply is monitored.

2. A communication power supply monitoring method according to claim 1, characterized in that: The specific formula for obtaining the fluctuation degree of each initial curve segment according to the APCA approximate data value and power data of each initial curve segment on the power supply power curve is as follows: In the formula, u j Indicates the fluctuation degree of the jth initial curve segment on the power curve; s j Represents the standard deviation of all power data in the jth initial curve segment on the power curve; a j Represents the APCA approximate data value of the jth initial curve segment on the power curve of the power source; It represents the mean of the APCA approximate data values ​​of all initial curve segments on the power curve of the power supply; | | is the absolute value function.

3. A communication power supply monitoring method according to claim 1, characterized in that: The output power required for each initial curve segment is obtained according to the fluctuation degree and power data of each initial curve segment on the power supply power curve, and the specific formula included is as follows: In the formula, v j Indicates the degree of output power required for the jth initial curve segment on the power curve; u j Indicates the degree of fluctuation of the jth initial curve segment on the power curve; It represents the average value of the fluctuation degree of all initial curve segments on the power curve of the power supply; Represents the mean value of all power data in the jth initial curve segment on the power curve of the power supply; Indicates the mean value of all power data on the power curve; It represents the mean value of the tangent slope of all data points selected on the jth initial curve segment of the power curve.

4. A communication power supply monitoring method according to claim 1, characterized in that: The method of obtaining the dissimilarity between two adjacent initial curve segments according to the output power required by each initial curve segment on the power supply power curve includes the following specific steps: Ratio the absolute value of the difference between the output power levels required by the j-th and j-1-th initial curve segments on the power supply power curve to the average of the absolute values ​​of the difference between the output power levels required by all adjacent initial curve segments, and record the normalized result of the ratio as the degree of dissimilarity between the j-th and j-1-th initial curve segments on the power supply power curve.

5. A communication power supply monitoring method according to claim 1, characterized in that: The method of merging all initial curve segments according to the dissimilarity between two adjacent initial curve segments to obtain a plurality of target curve segments includes the following specific steps: On the power curve, when the dissimilarity between the first and second initial curve segments is greater than or equal to a preset threshold value b, the first initial curve segment is recorded as the first target curve segment; when the dissimilarity between the first and second initial curve segments is less than the preset threshold value b, continue to judge whether the dissimilarity between the second and third initial curve segments is less than the preset threshold value b, until the dissimilarity between the xth and x+1th initial curve segments is greater than or equal to the preset threshold value b, merge the first to xth initial curve segments to obtain the first target curve segment; Starting from the initial curve segment adjacent to the first target curve segment, the second target curve segment is obtained according to the method of obtaining the first target curve segment; and by analogy, the power curve of the power supply is divided into a plurality of target curve segments.

6. A communication power supply monitoring method according to claim 1, characterized in that: The load variation degree in each target curve segment is obtained according to the number of initial curve segments in each target curve segment on the power supply power curve and the difference in the dissimilarity of adjacent initial curve segments, and the specific formula included is as follows: In the formula, r k Indicates the load variation degree within the kth target curve segment on the power curve; n k Indicates the number of initial curve segments contained in the kth target curve segment on the power curve of the power source; Indicates the number of all initial curve segments on the power curve; V k,i Indicates the dissimilarity between the i-th initial curve segment and the adjacent previous initial curve segment in the k-th target curve segment on the power curve; V k,i+1 It represents the degree of dissimilarity between the i+1th initial curve segment and the adjacent previous initial curve segment within the kth target curve segment on the power curve; | | is the absolute value function.

7. A communication power supply monitoring method according to claim 1, characterized in that: The specific steps of selecting a plurality of similar curve segments from the target curve segment according to the load variation degree in each target curve segment on the power supply power curve are as follows: According to the load change degree in the last target curve segment on the power curve and the load change degree in the kth target curve segment, the difference in load change degree between the kth target curve segment and the last target curve segment is obtained; On the power curve, when the difference in load change between the kth target curve segment and the last target curve segment is less than a preset threshold value b, the kth target curve segment is recorded as a similar curve segment.

8. A communication power supply monitoring method according to claim 1, characterized in that: The need for the droop control strategy at the current moment is obtained according to the load change difference between all similar curve segments and the last target curve segment, and the specific formula included is as follows: Where q represents the need for the droop control strategy at the current moment; t s It represents the sum of the intervals between all adjacent similar curve segments on the power curve; δ′ represents the sum of the differences in load change between all similar curve segments on the power curve and the last target curve segment; represents the average duration of all similar curve segments on the power curve; m represents the number of all similar curve segments on the power curve; It represents the average value of the load variation degree of all similar curve segments on the power curve of the power supply; Indicates the average value of the load variation degree of all target curve segments on the power curve of the power supply.

9. A communication power supply monitoring method according to claim 1, characterized in that: According to the APCA approximate data value of each initial curve segment on the power curve and the need for the droop control strategy at the current moment, the droop coefficient adjustment index at the current moment is obtained, including the specific formula as follows: In the formula, p represents the droop coefficient adjustment index at the current moment; q represents the degree of need for the droop control strategy at the current moment; It represents the mean value of the APCA approximate data values ​​of all initial curve segments within the last target curve segment on the power curve of the power source; It represents the mean value of the APCA approximate data values ​​of all initial curve segments within the second to last target curve segment on the power curve; a m It represents the APCA approximate data value of the last initial curve segment on the power curve of the power supply; norm() is the normalization function.

10. A communication power supply monitoring system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the computer program is executed by a processor, the steps of a communication power supply monitoring method as described in any one of claims 1 to 9 are implemented.

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