Method and device for configuring number of electric piles and distribution system of charging piles

Abstract

The invention discloses an electric pile number configuration method and device and a charging pile distribution system, and relates to the technical field of charging pile distribution number planning. Low-demand sub-regions and high-demand sub-regions of all combination regions are combined into an electric pile number configuration combination region; the method comprises the following steps: acquiring a matching coincidence number corresponding to each matching coincidence time period, comparing the sizes, selecting the maximum matching coincidence number as a combined area configuration number, and completing the electric pile number configuration work in an electric pile configuration area on the basis of the maximum matching coincidence number. The charging demand of the vehicle can be met in the peak period of charging demand complementation, meanwhile, resource waste caused by excessive configuration of the electric piles is avoided, and the problem that the charging demands of the sub-areas in the electric pile configuration area are unbalanced is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile distribution quantity planning, and in particular to a method and device for configuring the quantity of electric piles and a distribution system of charging piles. Background Art

[0002] With the popularity of electric vehicles, the reasonable configuration of charging piles has become a key issue. At present, the charging demand of each sub-region within the charging pile configuration area is unbalanced, and it is often the case that charging piles in some areas are idle, while charging piles in some areas are in short supply. The existing charging pile quantity configuration method lacks in-depth analysis of the characteristics of regional charging demand, and cannot accurately meet the charging needs of different regions at different times, resulting in low utilization efficiency of charging facilities.

[0003] In the prior art, it is difficult to reasonably configure the number of charging piles by analyzing the charging demand of different areas at different times, resulting in low utilization efficiency of charging piles. Therefore, the present application screens out high-demand sub-areas and low-demand sub-areas by analyzing the charging demand of different areas at different times, and evaluates the stability of high-demand and high-frequency time periods in high-demand sub-areas, so as to provide a basis for the number and distribution of charging piles. At the same time, with the fluctuating high-demand sub-area as the core, the sequence of adjacent low-demand sub-areas is obtained with the help of the panoramic navigation system, the combined area analysis value is obtained, the combined area low-demand sub-areas are screened out, and all the combined area low-demand sub-areas are combined with the high-demand sub-areas into a combined area for configuring the number of charging piles, and the largest matching overlap number is selected as the combined area configuration number. Based on the maximum matching overlap number, the configuration of the number of charging piles in the charging pile configuration area is completed, which not only ensures that the charging demand of vehicles can be met during the peak period of complementary charging demand, but also avoids the waste of resources caused by excessive configuration of charging piles, and solves the problem of unbalanced charging demand between sub-areas in the charging pile configuration area. Summary of the invention

[0004] The object of the present invention is to provide a method and device for configuring the number of charging piles and a distribution system of charging piles to solve at least one of the above-mentioned problems in the prior art.

[0005] In a first aspect, a method for configuring the number of electric piles comprises the following steps: Step 1: In the historical period, obtain the historical charging data in the charging pile configuration area, quantify the historical charging data, and obtain the high-demand sub-area and low-demand sub-area; Step 2: Based on the high-demand sub-area, obtain the high-demand high-frequency period, perform stability analysis on the high-demand high-frequency period, obtain high-demand stable data, quantify the high-demand stable data, and obtain the fluctuating high-demand sub-area; Step 3: Based on the fluctuating high-demand sub-area, multiple low-demand sub-areas adjacent to the fluctuating high-demand sub-area are extracted through the panoramic navigation system, and the high-frequency charging period of the fluctuating high-demand sub-area is compared and analyzed with the low-frequency charging period of the adjacent low-demand sub-area to obtain comparison and matching data, and the comparison and matching data is quantified to generate a merged area configuration signal; Step 4: Based on the merged area configuration signal, obtain the merged area configuration quantity and complete the configuration of the number of charging piles in the charging pile configuration area.

[0006] In a second aspect, a device for configuring the number of electric piles includes the following modules: Sub-area screening module: in the historical period, obtain the historical charging data in the charging pile configuration area, quantify the historical charging data, and obtain high-demand sub-areas and low-demand sub-areas; Sub-region evaluation module: Based on the high-demand sub-region, obtain the high-demand and high-frequency time periods, perform stability analysis on the high-demand and high-frequency time periods, obtain high-demand stability data, quantify the high-demand stability data, and obtain the fluctuating high-demand sub-region; Merge zone analysis module: Based on the fluctuating high-demand sub-area, multiple low-demand sub-areas adjacent to the fluctuating high-demand sub-area are extracted through the panoramic navigation system, and the high-frequency charging period of the fluctuating high-demand sub-area is compared and analyzed with the low-frequency charging period of the adjacent low-demand sub-area to obtain the comparison and matching data, and the comparison and matching data is quantified to generate a merge zone configuration signal; Merge zone quantity configuration module: Based on the merge zone configuration signal, obtain the merge zone configuration quantity and complete the configuration of the number of electric piles in the electric pile configuration area.

[0007] Beneficial effects of the present invention: 1. The present invention divides the historical cycle into multiple historical time periods of equal length, and divides the electric pile configuration area into multiple sub-areas of equal area, obtains the number of charging times of each sub-area in each time period, obtains the periodic charging value of each sub-area in the historical cycle, and marks the sub-area greater than the periodic charging threshold as a high-demand sub-area. For the high-demand sub-area, analyze whether the high-frequency time period of the high-demand sub-area is stable, and obtains the high-demand stability value, so that the high-demand stability value reflects the stability of the high-frequency time period in the high-demand sub-area in terms of time interval and charging demand intensity, which is helpful to plan the number and distribution of charging piles in advance; 2. The present invention takes the fluctuating high-demand sub-area as the core, uses the panoramic navigation system to obtain the sequence of adjacent low-demand sub-areas, extracts the high-demand high-frequency and low-demand low-frequency time periods, compares the overlap to obtain the matching overlap period, calculates the matching overlap number and matching overlap degree, and performs ratio calculation to obtain the combined area analysis value, so as to reflect the coordination between the high-demand sub-area and the adjacent low-demand sub-area in the charging period and the use of charging piles through the combined area analysis value, which is helpful to evaluate whether the high-demand sub-area and multiple adjacent low-demand sub-areas are suitable for combined area planning of the number of charging piles, and improve the utilization efficiency of charging facilities; 3. The present invention combines all low-demand sub-areas and high-demand sub-areas into a combined area for configuring the number of charging piles. In the combined area for configuring the number of charging piles, the matching overlap numbers corresponding to each matching overlap time period are obtained, and the largest matching overlap number is selected as the combined area configuration number by comparing the sizes. Based on the maximum matching overlap number, the configuration of the number of charging piles in the charging pile configuration area is completed, which not only ensures that the charging demand of vehicles can be met during the peak period of complementary charging demand, but also avoids the waste of resources caused by over-configuring charging piles, and solves the problem of unbalanced charging demand between sub-areas in the charging pile configuration area. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0009] Figure 1 It is a flow chart of the steps of a method for configuring the number of electric piles of the present invention; Figure 2 It is a schematic diagram of a number configuration system of electric piles of the present invention; Figure 3 It is a schematic diagram of a device for configuring the number of electric piles according to the present invention. DETAILED DESCRIPTION

[0010] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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 should fall within the scope of protection of the present invention.

[0011] Embodiment 1: Figure 1This is a flowchart of a method for configuring the number of electric piles provided in the first embodiment of the present invention. The embodiment of the present invention can be used to reflect the stability of the high-demand and high-frequency periods in the high-demand sub-area in terms of time interval and charging demand intensity. The method for configuring the number of electric piles can be executed by a system for configuring the number of electric piles. The system for configuring the number of electric piles can be implemented by software and / or hardware. The system for configuring the number of electric piles can be configured in a device for configuring the number of electric piles. Optionally, a device for configuring the number of electric piles can be an electronic device, which can be a notebook, a desktop computer, a smart tablet, etc. The embodiment of the present invention does not limit this.

[0012] like Figure 1 As shown, a method for configuring the number of electric piles provided by an embodiment of the present invention specifically includes the following steps: Step 1: in the historical period, historical charging data in the charging pile configuration area is obtained, wherein the historical charging data includes the number of charging times, and the historical charging data is quantified to obtain high-demand sub-areas and low-demand sub-areas; In some embodiments, the historical period is divided into a number of historical time periods with equal time intervals; Divide the charging pile configuration area into several sub-areas of equal area; Obtain the number of times the sub-area is charged in the historical period, and perform summation and mean calculation to obtain the periodic charging value; The cycle charge value is compared with the cycle charge threshold, and the process is as follows: If the periodic charging value is greater than or equal to the periodic charging threshold, it means that the analyzed sub-area has a large charging demand in the historical period and is a high-demand sub-area; If the cycle charging value is less than the cycle charging threshold, it means that the sub-area under analysis has a small charging demand in the historical period and is a low-demand sub-area; It should be noted that the periodic charging threshold is set by professionals in this field based on the counting function module set in the charging pile, and is an empirical value; Step 2: Based on the high-demand sub-area, obtain the high-demand high-frequency period, perform stability analysis on the high-demand high-frequency period, and obtain high-demand stability data, wherein the high-demand stability data includes interval stability value and degree stability value, quantify the high-demand stability data to obtain the high-demand stability value, and compare it with the high-demand stability threshold to obtain the fluctuating high-demand sub-area; In some embodiments, the number of times a high-demand sub-area is charged in a historical period is obtained to obtain a period charging value; The period charging value is compared with the period charging threshold, and the process is as follows: If the time period charging value is greater than the time period charging threshold, it means that the number of charging times in the analyzed historical period is large, which is a high-demand and high-frequency period; If the time period charging value is less than or equal to the time period charging threshold, it means that the number of charging times in the analyzed historical period is small, which is a high-demand and low-frequency period; It should be noted that the time period charging threshold is set by professionals in this field based on the counting function module set in the charging pile, and is an empirical value; Acquire adjacent high-demand and high-frequency time periods and combine them into a high-demand and high-frequency group to obtain multiple high-demand and high-frequency groups; In any high-demand high-frequency group, obtain the high-demand low-frequency time periods between adjacent high-demand high-frequency time periods to obtain the adjacent interval value; The adjacent interval values ​​corresponding to all high-demand and high-frequency groups are processed according to the coefficient of variation. The process is as follows: A1, calculate the standard deviation of the adjacent interval values ​​corresponding to all high-demand and high-frequency groups to obtain the combined standard deviation s; A2, calculate the sum of the adjacent interval values ​​corresponding to all high-demand and high-frequency groups to obtain the combined mean ; A3, combine the combined standard deviation s with the combined mean Substitute into the coefficient of variation formula: , calculate the interval stability value ; In any high-demand and high-frequency group, obtain the number of charging times in adjacent high-demand and high-frequency periods, and use the Manhattan distance formula: , calculate the degree of stability , where n represents the total number of high-demand high-frequency groups, It is expressed as the difference in the number of charging times corresponding to adjacent high-demand and high-frequency periods within a high-demand and high-frequency group; The interval stability value Stable value Add and sum to obtain the high demand stability value; It can be understood that the high demand stability value means: it is calculated by combining the interval stability value and the degree stability value. The interval stability value reflects the adjacent interval value of the high demand low frequency period between the adjacent high demand high frequency period in the high demand high frequency group, and the degree stability value reflects the degree of difference in the number of charging times in the adjacent high demand high frequency period, thereby comprehensively reflecting the stability of the high demand high frequency period in the high demand sub-area in terms of time interval and charging demand intensity, which is helpful to plan the number and distribution of charging piles in advance; The high demand stability value is compared with the high demand stability threshold value, and the process is as follows: If the high demand stability value is greater than the high demand stability threshold, it means that the intervals of high demand and high frequency periods are relatively unstable, the charging demand intensity of adjacent high demand and high frequency periods is quite different, and the fluctuation in the charging demand degree dimension is relatively large. The analyzed high demand sub-area is marked as a fluctuating high demand sub-area; If the high demand stability value is less than or equal to the high demand stability threshold, it means that the intervals of high demand and high frequency periods are relatively stable, the difference in charging demand intensity between adjacent high demand and high frequency periods is small, and the fluctuation in the charging demand degree dimension is small. The analyzed high demand sub-area is marked as a stable high demand sub-area; Based on the stable high-demand sub-area, extract the high-demand and high-frequency time period corresponding to the stable high-demand sub-area, and obtain the charging pile utilization corresponding to the high-demand and high-frequency time period; It should be noted that the utilization of charging piles is the number of electric vehicles occupying charging piles for charging in high-demand and high-frequency periods in stable high-demand sub-areas; The maximum charging pile utilization is extracted and compared with the actual number of charging piles in the high-demand sub-area. The process is as follows: If the maximum charging pile utilization is less than or equal to the actual number of charging piles in the high-demand sub-area, there is no need to add charging piles to the stable high-demand sub-area; If the maximum charging pile utilization is greater than the actual number of charging piles in the high-demand sub-area, the maximum charging pile utilization is subtracted from the actual number of charging piles in the high-demand sub-area to obtain the number of additional charging piles, and the charging pile addition work in the stable high-demand sub-area is completed; The specific implementation scheme of the embodiment of the present invention is as follows: the historical cycle is divided into a plurality of historical time periods of equal length, and the electric pile configuration area is divided into a plurality of sub-areas of equal area, the number of charging times of each sub-area in each time period is obtained, and the periodic charging value of each sub-area in the historical cycle is obtained, and the sub-area greater than the periodic charging threshold is marked as a high-demand sub-area, and for the high-demand sub-area, whether the high-frequency time period of the high-demand sub-area is stable is analyzed to obtain the high-demand stability value, so that the high-demand stability value reflects the stability of the high-frequency time period in the high-demand sub-area in terms of time interval and charging demand intensity, which is helpful to plan the number and distribution of charging piles in advance; Embodiment 2: A method for configuring the number of electric piles provided in an embodiment of the present invention specifically comprises the following steps: Step 3: Based on the fluctuating high-demand sub-area, multiple low-demand sub-areas adjacent to the fluctuating high-demand sub-area are extracted through the panoramic navigation system to obtain a sequence of sub-areas to be merged, and the high-frequency charging period of the fluctuating high-demand sub-area is compared and analyzed with the low-frequency charging period of the adjacent low-demand sub-area to obtain comparison matching data, wherein the comparison matching data includes the number of matching overlaps and the degree of matching overlaps, and the comparison matching data is quantified to obtain a merged area analysis value, which is compared with the merged area analysis threshold to generate a merged area configuration signal; In some embodiments, taking the fluctuating high-demand sub-region as a reference, the low-demand sub-regions adjacent to the fluctuating high-demand sub-region are image-converted by a panoramic navigation system to obtain a sequence of sub-regions to be merged; Randomly select an adjacent low-demand sub-region from the sequence of sub-regions in the waiting area; Extract and mark the high-demand and high-frequency periods in the historical cycle of the fluctuating high-demand sub-area, and extract and mark the low-frequency charging periods in the historical cycle of the adjacent low-demand sub-area; Among them, the method of obtaining the low-demand and low-frequency periods in the historical cycle of the low-demand sub-area is consistent with the method of obtaining the low-demand and low-frequency periods in the historical cycle of the high-demand sub-area; The high-demand high-frequency period is compared with the low-demand low-frequency period. If the high-demand high-frequency period coincides with the low-demand low-frequency period, it is marked as a matching coincidence period; Count the number of matching overlapped time periods and calculate the ratio with the total number of historical time periods in the historical period to obtain the matching overlapped number; Obtain the charging pile utilization of the low-demand sub-area in the matching overlap period and the charging pile utilization of the high-demand sub-area in the matching overlap period, and combine them into a set of matching overlap groups to obtain multiple matching overlap groups; Any set of matching coincident sets; In the matching overlap group, the charging pile utilization of the low-demand sub-area in the matching overlap period and the charging pile utilization of the high-demand sub-area in the matching overlap period are added together to obtain the matching overlap total utilization; Combining adjacent matching overlapping groups into a set of degree analysis groups, and obtaining multiple sets of degree analysis groups; Substitute the degree analysis group into the Manhattan distance formula: , the matching overlap degree d2 is calculated, where m represents the total number of degree analysis groups, It is expressed as the difference in the total utilization of corresponding matching overlaps of adjacent matching overlap groups within the degree analysis group; The ratio of the number of matching overlaps to the degree of matching overlaps is calculated to obtain the merged area analysis value; It can be understood that the meaning of the combined area analysis value is: calculated by combining the matching overlap number and the matching overlap degree. The matching overlap number reflects the temporal overlap ratio of the high-demand and high-frequency time period of the high-demand sub-area and the low-demand and low-frequency time period of the adjacent low-demand sub-area, indicating how many time periods these two areas are complementary in charging demand throughout the historical period. The matching overlap degree reflects the degree of fluctuation in the comprehensive utilization of charging piles in the low-demand sub-area and the high-demand sub-area during the matching overlap period, and measures the stability of the combined area from the dimension of the utilization degree of charging piles. The merge analysis value is compared with the merge analysis threshold. The process is as follows: If the combined zone analysis value is greater than or equal to the combined zone analysis threshold, it means that the time matching degree is high and the fluctuation of the charging pile utilization degree is small, and the synergy and complementarity are strong. A combined zone configuration signal is generated, and the adjacent low-demand sub-area corresponding to the combined zone configuration signal is marked as a combined zone low-demand sub-area; If the combined zone analysis value is less than the combined zone analysis threshold, it means that the time matching degree is low and the utilization degree of charging piles fluctuates greatly, the synergy and complementarity are weak, and a non-combined zone configuration signal is generated; Based on the non-combined area configuration signal, the utilization of charging piles in the high-demand sub-area during all high-demand and high-frequency periods is obtained, and the utilization of charging piles during the maximum high-demand and high-frequency period is extracted as the number of charging piles in the high-demand sub-area, and the charging pile configuration work is performed; The specific implementation scheme of the embodiment of the present invention is as follows: taking the fluctuating high-demand sub-area as the core, using the panoramic navigation system to obtain the sequence of adjacent low-demand sub-areas, extracting the high-demand high-frequency and low-demand low-frequency time periods, comparing the overlap to obtain the matching overlap time period, and calculating the matching overlap quantity and matching overlap degree based on this, and performing ratio calculation to obtain the combined area analysis value, so as to reflect the coordination between the high-demand sub-area and the adjacent low-demand sub-area in the charging time period and the use of charging piles through the combined area analysis value, which is helpful to evaluate whether the high-demand sub-area and multiple adjacent low-demand sub-areas are suitable for combined area planning of the number of charging piles, thereby improving the utilization efficiency of charging facilities; Embodiment 3: A method for configuring the number of electric piles provided in an embodiment of the present invention specifically comprises the following steps: Step 4: Based on the merged area configuration signal, the merged area configuration quantity is obtained, and the configuration of the number of electric piles in the electric pile configuration area is completed, which solves the problem of unbalanced charging demand among various sub-areas in the electric pile configuration area; In some embodiments, all low-demand sub-areas and high-demand sub-areas of the combined area are combined into one combined area with a configuration of the number of charging piles; In the area where the number of electric piles is configured, the number of matching overlaps corresponding to the matching overlap period is obtained, and the maximum number of matching overlaps corresponding to the matching overlap period is extracted as the number of configurations in the area; It should be noted that the maximum matching overlap number corresponding to the matching overlap period is used as the number of combined area configurations. The purpose is to select the maximum matching overlap number, which means that the number of charging pile configurations is determined based on the period when the charging demands of each sub-area are most complementary. If the charging piles are configured with a smaller matching overlap number, the demand may not be met during the maximum overlap period. However, the configuration with the maximum matching overlap number ensures that the charging demand of vehicles can be met during the peak period of complementary charging demands, and also avoids the waste of resources caused by excessive configuration of charging piles, solving the problem of unbalanced charging demand among sub-areas in the charging pile configuration area. The specific implementation plan of the embodiment of the present invention is: combine all the low-demand sub-areas and high-demand sub-areas in the combined area into a combined area for configuring the number of charging piles. In the combined area for configuring the number of charging piles, obtain the matching overlap numbers corresponding to each matching overlap time period, and select the largest matching overlap number as the combined area configuration number by comparing the sizes. Based on the maximum matching overlap number, complete the configuration of the number of charging piles in the charging pile configuration area, which not only ensures that the vehicle charging demand can be met during the peak period of complementary charging demand, but also avoids the waste of resources caused by over-configuring charging piles, and solves the problem of unbalanced charging demand between sub-areas in the charging pile configuration area.

[0013] Embodiment 4: Figure 2 As shown, an embodiment of the present invention provides a device for configuring the number of electric piles, including the following modules: Sub-area screening module: in the historical period, obtain the historical charging data in the charging pile configuration area, quantify the historical charging data, and obtain high-demand sub-areas and low-demand sub-areas; Sub-region evaluation module: Based on the high-demand sub-region, obtain the high-demand and high-frequency time periods, perform stability analysis on the high-demand and high-frequency time periods, obtain high-demand stability data, quantify the high-demand stability data, and obtain the fluctuating high-demand sub-region; Merge zone analysis module: Based on the fluctuating high-demand sub-area, multiple low-demand sub-areas adjacent to the fluctuating high-demand sub-area are extracted through the panoramic navigation system, and the high-frequency charging period of the fluctuating high-demand sub-area is compared and analyzed with the low-frequency charging period of the adjacent low-demand sub-area to obtain the comparison and matching data, and the comparison and matching data is quantified to generate a merge zone configuration signal; Merge zone quantity configuration module: Based on the merge zone configuration signal, obtain the merge zone configuration quantity and complete the configuration of the number of electric piles in the electric pile configuration area.

[0014] Example 5: Reference Figure 3 The embodiment of the present invention further provides a computer device 3, comprising: a memory 302 and a processor 301 and a computer program 303 stored in the memory 302. When the computer program 303 is executed on the processor 301, a method for configuring the number of electric charging piles as described in any one of the above methods is implemented.

[0015] The computer device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will appreciate that Figure 3 It is only an example of computer device 3 and does not constitute a limitation on computer device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.

[0016] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0017] In some embodiments, the memory 302 may be an internal storage unit of the computer device 3, such as a hard disk or memory of the computer device 3. In other embodiments, the memory 302 may also be an external storage device of the computer device 3, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 3. Further, the memory 302 may also include both an internal storage unit of the computer device 3 and an external storage device. The memory 302 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 302 may also be used to temporarily store data that has been output or is to be output.

[0018] Embodiment 6: The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, a method for configuring the number of electric charging piles as described in any one of the above methods is implemented.

[0019] In this embodiment, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, USB flash drive, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0020] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0021] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0022] In the embodiments disclosed in the present application, it should be understood that the disclosed apparatus / terminal equipment and method can be implemented in other ways. For example, the apparatus / terminal equipment embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. One point, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, which may be electrical, mechanical or other forms.

[0023] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0024] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0025] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for configuring the number of electric piles, characterized in that: The following steps are involved: Step 1: In the historical period, obtain the historical charging data in the charging pile configuration area, quantify the historical charging data, and obtain the high-demand sub-area and low-demand sub-area; Step 2: Based on the high-demand sub-area, obtain the high-demand high-frequency period, perform stability analysis on the high-demand high-frequency period, obtain high-demand stable data, quantify the high-demand stable data, and obtain the fluctuating high-demand sub-area; Step 3: Based on the fluctuating high-demand sub-area, multiple low-demand sub-areas adjacent to the fluctuating high-demand sub-area are extracted through the panoramic navigation system, and the high-frequency charging period of the fluctuating high-demand sub-area is compared and analyzed with the low-frequency charging period of the adjacent low-demand sub-area to obtain comparison and matching data, and the comparison and matching data is quantified to generate a merged area configuration signal; Step 4: Based on the merged area configuration signal, obtain the merged area configuration quantity and complete the configuration of the number of charging piles in the charging pile configuration area.

2. A method for configuring the number of electric piles according to claim 1, characterized in that: The process of quantifying the historical charging data is as follows: Divide the historical cycle into several historical periods with equal time intervals; Divide the charging pile configuration area into several sub-areas of equal area; Obtain the number of times the sub-area is charged in the historical period, and perform summation and mean calculation to obtain the periodic charging value; The cycle charge value is compared with the cycle charge threshold, and the process is as follows: If the periodic charging value is greater than or equal to the periodic charging threshold, it is a high-demand sub-area; If the periodic charging value is less than the periodic charging threshold, it is a low-demand sub-area.

3. The method for configuring the number of electric piles according to claim 1, characterized in that: The method for obtaining high-demand stable data is: Among them, high-demand stability data include interval stability value and degree stability value; Obtain the number of times a high-demand sub-area is charged in a historical period and obtain the charging value for the period; Compare the time period charging value with the time period charging threshold. If the time period charging value is greater than the time period charging threshold, it is a high-demand and high-frequency time period. Acquire adjacent high-demand and high-frequency time periods and combine them into a high-demand and high-frequency group to obtain multiple high-demand and high-frequency groups; In any high-demand high-frequency group, obtain the high-demand low-frequency time periods between adjacent high-demand high-frequency time periods to obtain the adjacent interval value; The adjacent interval values ​​corresponding to all high-demand and high-frequency groups are calculated by means of the coefficient of variation to obtain the interval stability value. ; In any high-demand and high-frequency group, the number of charging times in adjacent high-demand and high-frequency periods is obtained, and the degree of stability is calculated using the Manhattan distance formula. .

4. A method for configuring the number of electric piles according to claim 3, characterized in that: The method of obtaining the high-demand sub-area of ​​volatility is as follows: The interval stability value Stable value Add and sum to obtain the high demand stability value; If the high demand stability value is greater than the high demand stability threshold, the analyzed high demand sub-region is marked as a fluctuating high demand sub-region.

5. The method for configuring the number of electric piles according to claim 1, characterized in that: The method for obtaining the matching data is as follows: The comparison matching data includes the number of matching overlaps; Taking the high-demand sub-region as the benchmark, the low-demand sub-regions adjacent to the high-demand sub-region are transformed into images through the panoramic navigation system to obtain a sequence of sub-regions to be merged; Randomly select an adjacent low-demand sub-region from the sequence of sub-regions in the waiting area; Extract and mark the high-demand and high-frequency periods in the historical cycle of the fluctuating high-demand sub-area, and extract and mark the low-frequency charging periods in the historical cycle of the adjacent low-demand sub-area; The high-demand high-frequency period is compared with the low-demand low-frequency period. If the high-demand high-frequency period coincides with the low-demand low-frequency period, it is marked as a matching coincidence period; The number of matching overlapped time periods is counted and the ratio is calculated with the total number of historical time periods in the historical period to obtain the matching overlapped number.

6. A method for configuring the number of electric piles according to claim 5, characterized in that: The method for obtaining the matching data is as follows: The comparison matching data includes the degree stability value; Obtain the charging pile utilization of the low-demand sub-area in the matching overlap period and the charging pile utilization of the high-demand sub-area in the matching overlap period, and combine them into a set of matching overlap groups to obtain multiple matching overlap groups; Any set of matching coincident sets; In the matching overlap group, the charging pile utilization of the low-demand sub-area in the matching overlap period and the charging pile utilization of the high-demand sub-area in the matching overlap period are added together to obtain the matching overlap total utilization; Adjacent matching overlap groups are combined into a degree analysis group to obtain multiple degree analysis groups, and the matching overlap degree d2 is calculated using the Manhattan distance formula.

7. The method for configuring the number of electric piles according to claim 1, characterized in that: The method for obtaining the merge zone configuration signal is as follows: The ratio of the number of matching overlaps to the degree of matching overlaps is calculated to obtain the merged area analysis value; If the merged area analysis value is greater than or equal to the merged area analysis threshold, a merged area configuration signal is generated, and the adjacent low-demand sub-area corresponding to the merged area configuration signal is marked as a merged area low-demand sub-area.

8. The method for configuring the number of electric piles according to claim 1, characterized in that: Get the number of configurations for the merged area and complete the configuration of the number of electric piles in the electric pile configuration area. The process is as follows: Combine all low-demand sub-areas and high-demand sub-areas in the merged area into one merged area with a configuration of charging pile quantity; In the area where the number of charging piles is configured, the number of matching overlaps corresponding to the matching overlap period is obtained, and a size comparison is performed to extract the maximum number of matching overlaps corresponding to the matching overlap period as the area configuration number.

9. A device for configuring the number of electric piles, characterized in that: Includes the following modules: Sub-area screening module: in the historical period, obtain the historical charging data in the charging pile configuration area, quantify the historical charging data, and obtain high-demand sub-areas and low-demand sub-areas; Sub-region evaluation module: Based on the high-demand sub-region, obtain the high-demand and high-frequency time periods, perform stability analysis on the high-demand and high-frequency time periods, obtain high-demand stability data, quantify the high-demand stability data, and obtain the fluctuating high-demand sub-region; Merge zone analysis module: Based on the fluctuating high-demand sub-area, multiple low-demand sub-areas adjacent to the fluctuating high-demand sub-area are extracted through the panoramic navigation system, and the high-frequency charging period of the fluctuating high-demand sub-area is compared and analyzed with the low-frequency charging period of the adjacent low-demand sub-area to obtain the comparison and matching data, and the comparison and matching data is quantified to generate a merge zone configuration signal; Merge zone quantity configuration module: Based on the merge zone configuration signal, obtain the merge zone configuration quantity and complete the configuration of the number of electric piles in the electric pile configuration area.

10. A charging pile distribution system, comprising a charging pile quantity configuration device, characterized in that: The device for configuring the number of electric piles is used to execute the steps of a method for configuring the number of electric piles as recited in any one of claims 1-8.

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