A power supply monitoring system for power equipment based on peak-valley power distribution

Abstract

The present invention discloses a power supply monitoring system for electric power equipment based on peak-valley power distribution, and relates to the technical field of power supply monitoring. Existing power supply monitoring systems for electric power equipment cannot effectively analyze and divide the peak and valley conditions of electricity consumption within a regional scope. The present invention includes a peak time analysis module, a power supply adjustment module, and a periodic control and adjustment module; the peak time analysis module includes an independent analysis unit and an overlapping analysis unit, the independent analysis unit periodically obtains the real-time current and real-time voltage of each electric device to obtain the real-time power of each electric device, independently analyzes the real-time power of each electric device, and obtains the peak-valley corresponding time period of each electric device, and the overlapping analysis unit performs grayscale processing on the peak-valley corresponding time periods of multiple electric devices, and analyzes to obtain the peak time detection interval. The present invention can effectively analyze and divide the peak and valley conditions of electricity consumption within a regional scope, make phased adjustments to the regional power supply according to the changes in the electric equipment, and improve the power supply efficiency of the power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply monitoring, and in particular to a power supply monitoring system for electric power equipment based on peak-valley power distribution. Background Art

[0002] Peak electricity consumption refers to the period of time during the day when electricity demand is high, usually during the daytime working hours, when the grid load is heavy. Valley electricity consumption refers to the period of time when electricity demand is low, when electricity consumption is relatively low and the grid load is light. At the macro level, measures such as time-of-use electricity prices can be used to encourage users to use electricity during valley hours to balance the grid load and improve the efficiency of power resource utilization. At the micro level, that is, when it comes to regional power supply, especially factory power supply, it is difficult to balance the grid load through electricity price regulation, and it is necessary to adjust the efficient use of power resources by changing the supply voltage.

[0003] The power supply monitoring systems for electric power equipment in the prior art are generally applied to macro-monitoring. It is difficult to conduct regional power supply monitoring for multiple electric equipment within a certain range (such as a factory area), and it is difficult to make phased adjustments according to changes in electric equipment, resulting in the inability to effectively analyze and divide the peak and valley conditions of electricity consumption within the region, making it difficult to adjust the power distribution in a planned manner, affecting the power supply efficiency of the power grid and causing waste of electric power resources. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that the power supply monitoring system of the electric equipment in the prior art cannot effectively analyze and divide the peak and valley conditions of electricity consumption within a region, and to propose a power supply monitoring system for electric equipment based on peak and valley power distribution.

[0005] The object of the present invention can be achieved by the following technical solutions: A power supply monitoring system for electric power equipment based on peak-valley power distribution, comprising a peak time analysis module, a power supply adjustment module, and a periodic control and adjustment module;

[0006] The peak time analysis module includes an independent analysis unit and an overlapping analysis unit. The independent analysis unit obtains the real-time power of each electrical device for independent image analysis, obtains the peak and valley corresponding time periods of each electrical device, and performs grayscale processing on the images of the peak and valley corresponding time periods. The overlapping analysis unit further performs graphic analysis on the images of multiple electrical devices and obtains the peak time detection interval through analysis.

[0007] The power supply adjustment module obtains the endpoint time of the peak detection interval to form an adjustment node set, and reconstructs the power grid in the power supply area according to the adjustment node set in the next analysis cycle time period. When the endpoint time is the left endpoint of the peak detection interval, the power supply area is implemented with peak power supply, and the number of distribution equipment in operation is increased. When the endpoint time is the right endpoint of the peak detection interval, the power supply area is implemented with peak power supply, and the number of distribution equipment in operation is reduced.

[0008] The periodic control module includes a monitoring setting unit and a bar graph analysis unit. The monitoring setting unit is used to set the monitoring period and analyze the peak detection interval within the monitoring period. The bar graph analysis unit is used to draw the bar graphs corresponding to the monitoring period and the analysis period and compare them, and adjust the power supply according to the comparison results.

[0009] As a preferred embodiment of the present invention, the analysis process of the independent analysis unit is specifically as follows:

[0010] Get the preset analysis cycle, record each individually analyzed power-consuming device as the target device, draw a line graph of the real-time power change over time during the target device analysis cycle, record it as the extracted power change line graph, and record the maximum value of the real-time power as the power peak value. , set a range interval [ , ], The calculation formula is ,in For the preset range parameters, extract all real-time powers within the range and mark them as peak power , where i represents the number of each peak power in the order of recording time, and the power of two adjacent peaks is calculated The recorded time difference between the two is compared with a preset time difference threshold;

[0011] When the recorded time difference is less than the time difference threshold, the two peak-time powers are merged into a peak set. When the recorded time difference between any two adjacent peak-time powers among multiple peak-time powers is less than the time difference threshold, the multiple peak-time powers belong to the same peak set, and multiple peak sets are obtained. A centralized judgment value is bound to each peak set, the number of peak-time powers in each peak set is counted and the centralized judgment value is assigned, and the centralized judgment value is set to be equal to the number of peak-time powers in each peak set. A centralized judgment threshold is preset, and the centralized judgment threshold is compared with the centralized judgment value. The peak set whose centralized judgment value is greater than or equal to the centralized judgment threshold is recorded as the standard peak set, and the peak-time powers with the smallest and largest labels in the same standard peak set are obtained and recorded as , ,Will , The corresponding recording time interval is recorded as the peak time interval, and the closed figure formed by the broken line and the time axis in the power variation broken line graph is recorded as ,right The area within the mid-peak time interval is grayed out to obtain the gray area. The gray value calculation formula is: ,in Represents the gray value, Indicates the rated power of the electrical equipment. All are preset values. Indicates that the value is not greater than The maximum integer, the gray value of the area of ​​the non-gray area in the line chart The whiteness area is recorded as 0, and a two-color line graph is obtained.

[0012] As a preferred embodiment of the present invention, the overlapping analysis unit overlaps all the two-color line graphs with the coordinate axis as the alignment line to obtain a mixed line graph, divides the mixed line graph, and obtains a plurality of closed areas formed by overlapping multiple layers of grayscale areas. The grayscale value calculation formula of the closed area is: ,in represents the gray value of each gray area that constitutes the closed area, m is the serial number of the electrical equipment, n is the total number of electrical equipment, a gray threshold is set, and the closed area with a gray value greater than the gray threshold is recorded as a standard closed area. Two time extremes are determined for each standard closed area. and , is the minimum value of the corresponding standard closed area projected onto the time axis, To construct multiple time range intervals corresponding to the maximum value of the standard closed area projected onto the time axis [ , ] and integrate to get the peak detection interval.

[0013] As a preferred implementation of the present invention, the time range interval integration step is specifically as follows:

[0014] Establish a time axis with a length equal to the analysis period, mark each time range interval on the time axis with dark color, record the marked time period as the peak time period, record the unmarked area as the valley time period, and record the time interval corresponding to each peak time period as the peak time detection interval.

[0015] As a preferred embodiment of the present invention, the monitoring setting unit sets a monitoring cycle, which is equal to the analysis cycle in length, and performs peak time analysis on all electrical equipment within a monitoring cycle after the end of the analysis cycle to obtain a peak time detection interval within the monitoring cycle.

[0016] As a preferred embodiment of the present invention, the bar graph analysis unit establishes a rectangular coordinate system with time as the horizontal axis and grayscale value as the vertical axis, obtains the peak time detection interval in the previous analysis cycle, draws a column corresponding to each peak time detection interval in the rectangular coordinate system, and the height of the column is the grayscale value of the standard closed area corresponding to each peak time detection interval, and obtains the past peak time bar graph;

[0017] Obtain the peak time detection interval within the monitoring period, draw the column corresponding to each peak time detection interval in the rectangular coordinate system, and obtain the monitoring peak time bar graph;

[0018] The past peak hour histogram and the monitored peak hour histogram are overlapped and compared, the area of ​​the overlapping part is calculated and divided by the total area of ​​the columns in the past peak hour histogram to obtain the peak hour offset parameter, a offset parameter threshold is set, and the peak hour offset parameter is compared with the offset parameter threshold. When the peak hour offset parameter is less than the offset parameter threshold, peak hour power supply is implemented to the power supply area according to the current adjustment node set. When the peak hour offset parameter is greater than or equal to the offset parameter threshold, the endpoint moments of the peak hour detection interval within the monitoring period are obtained to form an adjustment node set, and peak hour power supply is implemented to the power supply area according to the adjustment node set.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] 1. The present invention analyzes individual electrical equipment through an independent analysis unit in the peak analysis module, and can more accurately screen out the peak power of the electrical equipment through interval screening, so as to facilitate the determination of the peak usage of the electrical equipment. The overlapping analysis unit can perform image overlapping analysis on all electrical equipment, and integrate the time range interval to obtain the peak detection interval, which is more in line with the power supply area where the electrical equipment is easy to adjust and the peak power consumption often changes. It is convenient to adjust the power supply mode according to the peak and valley time periods, improve the power supply efficiency and reduce the pressure on the power grid.

[0021] 2. The present invention can adjust the power supply voltage by increasing or decreasing the number of power distribution equipment, so that the analysis results of the peak analysis module can be immediately applied to the reconstruction of the power supply network in the next cycle, and efficiently supply power to the power-consuming equipment in the power supply area. It can avoid power failure caused by insufficient power supply during peak power consumption, and avoid excessive redundant power supply voltage during low power consumption, which causes waste of power resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0023] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0024] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] See also Figure 1 As shown, a power supply monitoring system for electric power equipment based on peak-valley power distribution includes a peak time analysis module, a power supply adjustment module, and a periodic control module.

[0026] The peak time analysis module includes an independent analysis unit and an overlapping analysis unit. The independent analysis unit periodically obtains the real-time current and real-time voltage of each electrical device, calculates the product of the real-time current and the real-time voltage to obtain the real-time power of each electrical device, independently analyzes the real-time power of each electrical device, and obtains the peak and valley corresponding time periods of each electrical device. The overlapping analysis unit grayscales the peak and valley corresponding time periods of multiple electrical devices and analyzes them to obtain the peak time detection interval.

[0027] The analysis process of the independent analysis unit is as follows:

[0028] Get the preset analysis cycle, draw a line graph of the target device (each individually analyzed power-consuming device is called the target device) during the analysis cycle, and record it as the extracted power. The maximum value of the real-time power in the line graph is recorded as the power peak value. , set a range interval [ , ], The calculation formula is ,in For the preset range parameters, extract all real-time powers within the range and mark them as peak power , where i represents the number of each peak power in the order of recording time (for example, Indicates the first matching range interval [ , ]), calculate the power of two adjacent peaks The recorded time difference between them is compared with the preset time difference threshold. When the recorded time difference is less than the time difference threshold, the two peak-time powers are merged into a peak set. When there are multiple peak-time powers and the recorded time difference between any two adjacent peak-time powers is less than the time difference threshold, the multiple peak-time powers belong to the same peak set, and multiple peak sets are obtained (there are at least two peak-time powers in the peak set).

[0029] It should be noted that in the actual power supply process, due to the influence of various factors (such as the number of nonlinear elements, the impedance of the power supply system, the voltage and frequency fluctuations of the power grid, etc.), harmonics that interfere with the voltage and current values ​​will be generated, resulting in a certain range of errors between the measured power and the actual power of the electrical equipment. Through interval screening, the peak power of the electrical equipment can be screened out more accurately, thereby facilitating the determination of the peak usage of the electrical equipment (the time period of continuous high-frequency operation).

[0030] Furthermore, a centralized judgment value is bound to each peak set, the number of peak-time powers in each peak set is counted and assigned to the centralized judgment value, the centralized judgment value is set to be equal to the number of peak-time powers in each peak set, a centralized judgment threshold is preset, the centralized judgment threshold is compared with the centralized judgment value, the peak set whose centralized judgment value is greater than or equal to the centralized judgment threshold is recorded as the standard peak set, and the peak-time powers with the smallest and largest labels in the same standard peak set are obtained and recorded as , ,Will , The corresponding recording time interval ( arrive The interval between corresponding recording times, for example and The corresponding recording times are 9:00 and 12:00 respectively, and the corresponding time interval is from 9:00 to 12:00) is recorded as the peak time interval, and the closed figure formed by the broken line and the time axis in the power variation broken line graph is recorded as ,right The area within the mid-peak time interval is grayed out to obtain the gray area. The gray value calculation formula is: ,in Represents the gray value, Indicates the rated power of the electrical equipment. All are preset values. Indicates that the value is not greater than The maximum integer, the gray value of the area of ​​the non-gray area in the line chart The whiteness area is recorded as 0, and finally the processed two-color line graph is obtained.

[0031] It should be noted that the peak time analysis module only outputs an analysis result at the end of the analysis cycle, rather than continuously outputting it in real time.

[0032] By comparing the number of peak powers in the peak set, the peak set that meets the requirements is screened out, so as to obtain the time interval that meets the peak judgment duration requirements, eliminate the temporary non-continuous use time interval that does not meet the requirements, and reduce the impact of small intermittent use on the peak judgment of electrical equipment.

[0033] The overlap analysis unit overlaps the two-color line graphs of all electrical equipment with the coordinate axis as the alignment line to obtain a mixed line graph. The grayscale area and white area edges of all two-color line graphs divide the entire mixed line graph into multiple closed areas. Each closed area is formed by overlapping multiple grayscale areas with the same shape and position. The grayscale value calculation formula of the closed area is: ,in represents the gray value of each gray area that constitutes the closed area, m is the serial number of the electrical equipment, n is the total number of electrical equipment, a gray threshold is set, and the closed area with a gray value greater than the gray threshold is recorded as a standard closed area. Two time extremes are determined for each standard closed area. and , is the minimum value of the corresponding standard closed area projected onto the time axis, For the maximum value of the corresponding standard closed area projected onto the time axis, a corresponding time range interval is constructed for each standard closed area. , ], all time range intervals are integrated to obtain the peak detection interval.

[0034] It should be noted that the overlapped image is divided into multiple unit areas by the borders between the grayscale area and the whitescale area in each two-color line graph. Each unit area is a closed figure without borders inside. Each unit area is obtained by superimposing n layers. Each layer corresponds to a two-color line graph. Each two-color line graph has a unique grayscale value at the position of the unit area (that is, a unit area is pure color in any two-color line graph, either black or white), so the grayscale value of each unit area in the mixed line graph can be obtained by superimposing the grayscale values ​​in different layers. Through the overlapping processing method, it is possible to more intuitively and quickly filter out time periods that are higher than the set value, thereby determining the time periods corresponding to the peaks and valleys for subsequent analysis.

[0035] The steps for time range integration are as follows:

[0036] Establish a time axis with a length equal to the analysis period, mark each time range interval on the time axis with dark color, record the marked time period as the peak time period, record the unmarked area as the valley time period, and record the time interval corresponding to each peak time period as the peak time detection interval.

[0037] It should be noted that the peak detection interval (that is, the peak power consumption time period corresponding to the analysis period) is obtained by integrating the time range interval. Unlike the pre-set peak and valley time periods, the peak and valley analysis module can be flexibly set according to the analysis period, which is more in line with the power supply areas where power equipment is easy to adjust and peak power consumption often changes. It is convenient to adjust the power supply mode according to the peak and valley time periods, improve power supply efficiency and reduce the pressure on the power grid.

[0038] The power supply adjustment module obtains the endpoint moments of the peak detection interval to form an adjustment node set, and reconstructs the power grid in the power supply area according to the adjustment node set in the next analysis cycle time period. When the endpoint moment is the left endpoint of the peak detection interval (the endpoint moment in the previous order), peak power supply is implemented in the power supply area, the number of operating distribution equipment is increased, and the power supply voltage is improved, so that the power consumption equipment in the power supply area can be efficiently powered, and power failure caused by insufficient power supply can be avoided as much as possible. When the endpoint moment is the right endpoint of the peak detection interval (the endpoint moment in the later order), valley power supply is implemented in the power supply area, the number of operating distribution equipment is reduced, the power supply voltage is lowered, and excessive redundant power supply voltage is avoided, resulting in waste of power resources.

[0039] It should be noted that after a peak-time analysis of an analysis cycle, the adjustment of the power supply voltage begins, so that the analysis results of the peak-time analysis module can be immediately applied to the power supply network reconstruction of the next cycle (adjustment of the operating quantity of distribution equipment), and the peak-time analysis module adopts periodic analysis, and only analyzes after a complete cycle of data collection. Therefore, the analysis results will not be continuously output, causing the power grid reconstruction instructions to change continuously, affecting the normal regulation of the power supply adjustment module.

[0040] The periodic control module includes a monitoring setting unit and a bar graph analysis unit. The monitoring setting unit is used to set the monitoring period and analyze the peak detection interval within the monitoring period. The bar graph analysis unit is used to draw the bar graphs corresponding to the monitoring period and the analysis period and compare them, and adjust the power supply according to the comparison results.

[0041] Specifically, the monitoring setting unit sets a monitoring cycle, which is equal to the analysis cycle in length, and performs peak time analysis (through the peak time analysis module) on all electrical equipment within a monitoring cycle after the end of the analysis cycle to obtain the peak time detection interval within the monitoring cycle.

[0042] The bar chart analysis unit establishes a rectangular coordinate system with time as the horizontal axis and grayscale value as the vertical axis, obtains the peak time detection interval in the previous analysis cycle, draws the column corresponding to each peak time detection interval in the rectangular coordinate system, and the height of the column is the grayscale value of the standard closed area corresponding to each peak time detection interval, and obtains the past peak time bar chart, obtains the peak time detection interval in the monitoring period, draws the column corresponding to each peak time detection interval in the rectangular coordinate system, and the height of the column is the grayscale value of the standard closed area corresponding to each peak time detection interval, and obtains the monitoring peak time bar chart, and converts the past peak time The histogram and the monitored peak hour histogram are overlapped and compared, the area of ​​the overlapping part is calculated and divided by the total area of ​​the columns in the past peak hour histogram to obtain the peak hour offset parameter, a offset parameter threshold is set, and the peak hour offset parameter is compared with the offset parameter threshold. When the peak hour offset parameter is less than the offset parameter threshold, the peak hour power supply is continued to be implemented to the power supply area according to the current adjustment node set. When the peak hour offset parameter is greater than or equal to the offset parameter threshold, the endpoint moments of the peak hour detection interval within the monitoring period are obtained to form an adjustment node set, and the peak hour power supply is implemented to the power supply area according to the adjustment node set.

[0043] It should be noted that the monitoring cycle and the analysis cycle are essentially the same and are only used to distinguish during comparison. When the comparison result is that the peak offset parameter is less than the offset parameter threshold, the data in the monitoring cycle is erased so that the data at the beginning of the next monitoring cycle can be recorded, and the analysis cycle continues to be used as an analysis cycle for comparison with the data analysis results of the next monitoring cycle. When the comparison result is that the peak offset parameter is greater than the offset parameter threshold, the data in the analysis cycle is erased, and the monitoring cycle is used as a new analysis cycle for comparison with the data analysis results of the next monitoring cycle.

[0044] By comparing the peak-time data within the monitoring period and the analysis period, the power consumption of the electrical equipment in the most recent period can be judged. Therefore, the peak-time offset parameters can be used to intuitively find out whether there is a significant change in the power consumption. When a significant change occurs, the timing of power supply voltage regulation can be changed, and the grid reconstruction plan can be adaptively optimized to improve the power supply efficiency of the grid.

[0045] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A power supply monitoring system for electric power equipment based on peak-valley power distribution, characterized in that: Including peak time analysis module, power supply adjustment module, and periodic control module; The peak time analysis module includes an independent analysis unit and an overlapping analysis unit. The independent analysis unit obtains the real-time power of each electrical device for independent image analysis, obtains the peak and valley corresponding time periods of each electrical device, and performs grayscale processing on the images of the peak and valley corresponding time periods. The overlapping analysis unit further performs graphic analysis on the images of multiple electrical devices and obtains the peak time detection interval through analysis. The power supply adjustment module obtains the endpoint time of the peak detection interval to form an adjustment node set, and reconstructs the power grid in the power supply area according to the adjustment node set in the next analysis cycle time period. When the endpoint time is the left endpoint of the peak detection interval, the power supply area is implemented with peak power supply, and the number of distribution equipment in operation is increased. When the endpoint time is the right endpoint of the peak detection interval, the power supply area is implemented with peak power supply, and the number of distribution equipment in operation is reduced. The cycle control module includes a monitoring setting unit and a bar graph analysis unit. The monitoring setting unit is used to set the monitoring cycle and analyze the peak detection interval within the monitoring cycle. The bar graph analysis unit is used to draw the bar graph corresponding to the monitoring cycle and the analysis cycle and compare them, and adjust the power supply according to the comparison results. The analysis process of the independent analysis unit is specifically as follows: Get the preset analysis cycle, record each individually analyzed power-consuming device as the target device, draw a line graph of the real-time power change over time during the target device analysis cycle, record it as the extracted power change line graph, and record the maximum value of the real-time power as the power peak value. , set a range interval [ , ], The calculation formula is ,in For the preset range parameters, extract all real-time powers within the range and mark them as peak power , where i represents the number of each peak power in the order of recording time, and the power of two adjacent peaks is calculated The recorded time difference between the two is compared with a preset time difference threshold; When the recorded time difference is less than the time difference threshold, the two peak-time powers are merged into a peak set. When the recorded time difference between any two adjacent peak-time powers among multiple peak-time powers is less than the time difference threshold, the multiple peak-time powers belong to the same peak set, and multiple peak sets are obtained. A centralized judgment value is bound to each peak set, the number of peak-time powers in each peak set is counted and the centralized judgment value is assigned, and the centralized judgment value is set to be equal to the number of peak-time powers in each peak set. A centralized judgment threshold is preset, and the centralized judgment threshold is compared with the centralized judgment value. The peak set whose centralized judgment value is greater than or equal to the centralized judgment threshold is recorded as the standard peak set, and the peak-time powers with the smallest and largest labels in the same standard peak set are obtained and recorded as , ,Will , The corresponding recording time interval is recorded as the peak time interval, and the closed figure formed by the broken line and the time axis in the power variation broken line graph is recorded as ,right The area within the mid-peak time interval is grayed out to obtain the gray area. The gray value calculation formula is: ,in Represents the gray value, Indicates the rated power of the electrical equipment. All are preset values. Indicates that the value is not greater than The maximum integer, the gray value of the non-gray area in the line chart The whiteness area is recorded as 0, and a two-color line graph is obtained; The overlapping analysis unit overlaps all the two-color line graphs with the coordinate axis as the alignment line to obtain a mixed line graph, divides the mixed line graph to obtain multiple closed areas formed by overlapping multiple layers of grayscale areas, and the grayscale value calculation formula of the closed area is: ,in represents the gray value of each gray area that constitutes the closed area, m is the serial number of the electrical equipment, n is the total number of electrical equipment, a gray threshold is set, and the closed area with a gray value greater than the gray threshold is recorded as a standard closed area. Two time extremes are determined for each standard closed area. and , is the minimum value of the corresponding standard closed area projected onto the time axis, To construct multiple time range intervals corresponding to the maximum value of the standard closed area projected onto the time axis [ , ] and integrate to get the peak detection interval.

2. The power supply monitoring system for electric power equipment based on peak-valley power distribution according to claim 1, characterized in that: The time range interval integration steps are as follows: Establish a time axis with a length equal to the analysis period, mark each time range interval on the time axis with dark color, record the marked time period as the peak time period, record the unmarked area as the valley time period, and record the time interval corresponding to each peak time period as the peak time detection interval.

3. The power supply monitoring system for electric power equipment based on peak-valley power distribution according to claim 1, characterized in that: The monitoring setting unit sets a monitoring cycle, which is equal to the analysis cycle in duration, and performs peak time analysis on all electrical equipment within a monitoring cycle after the analysis cycle ends to obtain a peak time detection interval within the monitoring cycle.

4. The power supply monitoring system for electric power equipment based on peak-valley power distribution according to claim 3 is characterized in that: The bar graph analysis unit establishes a rectangular coordinate system with time as the horizontal axis and grayscale value as the vertical axis, obtains the peak time detection interval in the previous analysis cycle, draws a column corresponding to each peak time detection interval in the rectangular coordinate system, and the height of the column is the grayscale value of the standard closed area corresponding to each peak time detection interval, and obtains the past peak time bar graph; Obtain the peak time detection interval within the monitoring period, draw the column corresponding to each peak time detection interval in the rectangular coordinate system, and obtain the monitoring peak time bar graph; The past peak hour histogram and the monitored peak hour histogram are overlapped and compared, the area of ​​the overlapping part is calculated and divided by the total area of ​​the columns in the past peak hour histogram to obtain the peak hour offset parameter, a offset parameter threshold is set, and the peak hour offset parameter is compared with the offset parameter threshold. When the peak hour offset parameter is less than the offset parameter threshold, peak hour power supply is implemented to the power supply area according to the current adjustment node set. When the peak hour offset parameter is greater than or equal to the offset parameter threshold, the endpoint moments of the peak hour detection interval within the monitoring period are obtained to form an adjustment node set, and peak hour power supply is implemented to the power supply area according to the adjustment node set.

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