Distributed storage system based on electric power measurement

Abstract

The invention discloses a distributed storage system based on electric power measurement, and the system comprises a control terminal which is used for transmitting an execution command; the acquisition module is used for acquiring real-time power consumption data of a user; the configuration module is used for configuring a data receiving and transmitting base station, and executing distributed summarization of the real-time power utilization data of the power utilization users acquired in the acquisition module by applying the data receiving and transmitting base station; the conversion module is used for executing data histogram conversion operation on the real-time power consumption data distributed summary result data; and the evaluation module is used for evaluating the similarity among the histograms. According to the invention, by collecting the power utilization data of the user and analyzing the parameter information of the power utilization user, a distributed storage processing effect is brought to the real-time power utilization data of the user, the efficiency and stability of power data storage are effectively improved, and the reliability of power data storage is improved through high-robustness operation logic. It can be ensured that the system can cope with the increasing problem of user groups, and safe and stable collection of electricity utilization users is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power metering, in particular to a distributed storage system based on electric power metering. Background Art

[0002] The power grid of prefecture-level companies generally consists of three layers of power grids: a 110-220 kV transmission network, a 35-110 kV high-voltage distribution network, and a 10 kV and below distribution network. The transmission network generally adopts a double ring connection, with at least two or more independent power supplies. The high-voltage distribution network usually uses a double loop line to send electricity to the load center, and is responsible for supplying power to the various districts under its jurisdiction.

[0003] However, as the population increases day by day, the number of electricity users also increases, which in turn leads to a heavier burden on electricity metering tasks. For electricity metering of electricity users, centralized collection, centralized transmission and centralized storage are still used for recording, which has poor efficiency and logic. Faced with the increasing number of electricity users, this method can no longer meet the needs of electricity metering work. Summary of the invention

[0004] In view of the above shortcomings of the prior art, the present invention provides a distributed storage system based on power metering to solve the technical problems raised in the above background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A distributed storage system based on power metering, comprising:

[0006] The control terminal is the main control terminal of the system and is used to issue execution commands;

[0007] A collection module is used to collect real-time electricity consumption data of electricity users;

[0008] A configuration module, used to configure a data transceiver base station, and use the data transceiver base station to perform distributed aggregation of the real-time power consumption data collected in the collection module;

[0009] A conversion module, used to receive the distributed summary result data of the real-time power consumption data in the configuration module, and perform a data histogram conversion operation on the distributed summary result data of the real-time power consumption data;

[0010] An evaluation module, used for receiving the data histogram corresponding to the distributed summary result data of the real-time power consumption data output by the conversion module, and evaluating the similarity between the histograms;

[0011] The output module is used to obtain and output the similarity evaluation results between the histograms output by the evaluation module and the real-time electricity consumption data of the electricity users corresponding to the histograms collected by the collection module;

[0012] The data content output by the output module also includes: the parameter information of each histogram corresponding to the electricity user in the upload unit of the lower-level submodule of the acquisition module, the location information of the electricity user and the correlation between the electricity user's electricity lines.

[0013] Furthermore, the acquisition module is provided with submodules at the lower level, including:

[0014] An uploading unit, used to upload parameter information of electricity users;

[0015] An analysis unit, used to receive the real-time power consumption data of the power users collected by the collection module, and use the real-time power consumption data of the power users to analyze the power consumption characteristics of the power users;

[0016] Among them, the electricity user parameter information uploaded in the upload unit is manually uploaded by the system-side user. The parameter information of the electricity user includes: the electricity user's location information, whether the electricity user is residential electricity or commercial electricity, the electricity user's power line correlation, and the electricity user's power voltage. The real-time electricity consumption data of the electricity user collected by the collection module includes: the electricity consumption of the electricity user and the start and end timestamps of the electricity consumption of the electricity user.

[0017] Furthermore, during the operation stage, the analysis unit receives the electricity consumption and the start and end timestamps of the electricity consumption in the real-time electricity consumption data of the electricity user, and manually sets the single electricity consumption threshold and the high-frequency time span threshold of electricity consumption by the system-side user, and analyzes the user's electricity consumption and the start and end timestamps of electricity consumption based on the single electricity consumption threshold and the high-frequency time span threshold of electricity consumption, and captures the real-time electricity consumption data within the two sets of thresholds. The captured real-time electricity consumption data is the electricity consumption characteristics of the electricity user analyzed in the analysis unit.

[0018] Furthermore, when the configuration module is running, it synchronously receives the power user location information and the power user power line association data in the power user parameter information uploaded by the uploading unit, applies the power user location information and the power user power line association data to further construct the power user distribution topology, performs matrix segmentation on the constructed power user distribution topology, and analyzes the power user distribution density in each segmentation matrix based on the segmented power user distribution topology, and configures the data transceiver base station through the power user distribution density of each segmentation matrix in each power user distribution topology;

[0019] Among them, the configuration logic of the distribution density of data transceiver base stations and electricity users is 1 group / 15%. In the same partitioning matrix, when the number of data transceiver base stations configured according to the configuration logic exceeds one group, any group of data transceiver base stations in the partitioning matrix is ​​selected to execute other data transceiver base stations in the same partitioning matrix to further receive real-time electricity consumption data. The data transceiver base stations configured in the configuration module are connected to the electricity meters or other data transceiver base stations deployed on the electricity users' power lines through a wireless network, and the wireless network is used to perform real-time data interaction operations.

[0020] Furthermore, the distribution density of electricity users in the segmentation matrix is ​​obtained by the following formula:

[0021]

[0022] Where: k is the distribution density of electricity users in the segmentation matrix; s is the number of windows in the segmentation matrix; |ω| is the number of pixels in the window in the topological image corresponding to the segmentation matrix; p i is the topological image corresponding to the partition matrix in the electricity user distribution topology; μ k is the window ω in the image k The mean of for The mean of is the window ω in the image k The variance of ; ε is the variance adjustment parameter.

[0023] Furthermore, during the operation phase of the configuration module, the sparsest time period of each power consumption period of each power user in the power user distribution topology is captured in units of hours, and the captured time period is used as the operation time period of the data transceiver base station to trigger the operation of the data transceiver base station. After the data transceiver base stations complete the reception of the real-time power consumption data of the power users within the range of their respective segmentation matrices, they further select any group of data transceiver base stations to complete the transmission and aggregation of the real-time power consumption data of the power users;

[0024] Among them, during the execution of the transmission and aggregation operation of the real-time electricity consumption data of electricity users by the data transceiver base station, any data transceiver base station in the distribution topology of the electricity users is used as the real-time electricity consumption data transmission medium to complete the forwarding of the user's real-time electricity consumption data, and any group of data transceiver base stations are selected to complete the transmission and aggregation operation of the real-time electricity consumption data of the electricity users, that is, the distributed aggregation operation of the real-time electricity consumption data in the configuration module.

[0025] Furthermore, when the conversion module performs the operation of converting the distributed summary result data of the real-time power consumption data into the data histogram, the conversion of the data histogram is completed with each power user target as the minimum unit.

[0026] Furthermore, the conversion module is internally provided with submodules, including:

[0027] A reset unit is used to set the ambient temperature threshold, monitor the real-time ambient temperature of the system service area, and trigger a jump to control the reset operation of the acquisition module when the real-time ambient temperature in the system service area changes to the ambient temperature threshold for seven consecutive days;

[0028] Among them, each time the collection module is triggered by the reset unit to jump and reset, the real-time electricity consumption data of the user collected before the jump is stored, and it is stored separately from the real-time electricity consumption data of the user collected after the collection module is reset. The system service area is the area composed of the location information of the electricity user in the parameter information of the electricity user.

[0029] Furthermore, the similarity between the histograms in the evaluation module is evaluated by the following formula:

[0030]

[0031] Where: H a is the histogram vector composed of the control point data in histogram a; H b is the histogram vector composed of the reference point data in histogram b; the reference point in the histogram is set by the user at the system end. For example, if the voltage, current, frequency, harmonics, etc. are collected, the voltage is set to a and the current is set to b, then the histogram vector composed of the reference point data in histogram a is H a , the histogram vector composed of the control point data in histogram b is H b .

[0032] Furthermore, the control terminal is electrically connected to the acquisition module through a medium, the acquisition module is electrically connected to the upload unit and the analysis unit through a medium, the acquisition module is electrically connected to the configuration module and the conversion module through a medium, the conversion module is electrically connected to the reset unit through a medium, the configuration module is electrically connected to the upload unit through a medium, the reset unit is electrically connected to the acquisition module through a medium, and the evaluation module is electrically connected to the output module through a medium.

[0033] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0034] 1. The present invention provides a distributed storage system based on electricity metering. The system brings distributed storage processing effects to users' real-time electricity consumption data by collecting users' electricity consumption data and analyzing electricity users' parameter information, effectively improving the efficiency and stability of electricity data storage. Moreover, with highly robust operating logic, the system can ensure that the system can cope with the problem of the increasing number of electricity users and ensure safe and stable collection of electricity users.

[0035] 2. During operation, the system of the present invention can simultaneously complete the construction and generation of the distribution topology of electricity users and the histogram of electricity consumption data of electricity users, further assist system-end users to analyze and manage user electricity consumption data, and deploy data transceiver base stations based on the distribution purposes of electricity users, thereby ensuring the stable transmission and distributed storage of user electricity consumption data.

[0036] 3. When the system of the present invention is running, the electricity consumption habits of each electricity user can be mapped out by analyzing the similarity of the histograms corresponding to the electricity consumption data of each electricity user, so as to use this as a data reference to facilitate the system management end user to make more adaptive decisions on the construction planning of power supply and transmission routes in the later stage. 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 prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 It is a structural schematic diagram of a distributed storage system based on power metering of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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 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 are within the scope of protection of the present invention.

[0040] The present invention will be further described below in conjunction with the embodiments.

[0041] Example 1

[0042] This embodiment is a distributed storage system based on power metering. Figure 1 As shown, including:

[0043] Control terminal 1 is the main control terminal of the system and is used to issue execution commands;

[0044] Collection module 2, used to collect real-time electricity consumption data of electricity users;

[0045] Configuration module 3, used to configure a power consumption data transceiver base station, and use the power consumption data transceiver base station to perform distributed aggregation of the real-time power consumption data of power users collected in collection module 2;

[0046] The conversion module 4 is used to receive the distributed summary result data of the real-time power consumption data in the configuration module 3, and perform a data histogram conversion operation on the distributed summary result data of the real-time power consumption data;

[0047] Evaluation module 5, used for receiving the data histogram corresponding to the distributed summary result data of the real-time power consumption data output by the conversion module 4, and evaluating the similarity between the histograms;

[0048] The output module 6 is used to obtain and output the similarity evaluation results between the histograms output by the evaluation module 5 and the electricity consumption data of the electricity users corresponding to the histograms collected by the collection module 2;

[0049] The data content output by the output module 6 also includes the location information of the electricity user and the correlation between the electricity user's electricity lines in the parameter information of the electricity user corresponding to the histogram in the upload unit 21 of the lower submodule of the acquisition module 2.

[0050] The acquisition module 2 lower level setting submodule includes:

[0051] An uploading unit 21 is used to upload parameter information of the electricity user;

[0052] The analysis unit 22 is used to receive the real-time power consumption data of the power users collected by the collection module 2, and use the real-time power consumption data of the power users to analyze the power consumption characteristics of the power users;

[0053] Among them, the electricity user parameter information uploaded in the uploading unit 21 is manually uploaded by the system end user. The parameter information of the electricity user includes: the electricity user's location information, whether the electricity user is residential electricity or commercial electricity, the electricity user's power line correlation, and the electricity user's power voltage. The real-time electricity consumption data of the electricity user collected by the collection module 2 includes: the electricity consumption of the electricity user and the start and end timestamps of the electricity consumption of the electricity user.

[0054] In the evaluation module 5, the similarity between the histograms is evaluated by the following formula:

[0055]

[0056] Where: H a is the histogram vector composed of the control point data in histogram a; H b is the histogram vector composed of the reference point data in histogram b; the reference point in the histogram is set by the user at the system end. For example, if the voltage, current, frequency, harmonics, etc. are collected, the voltage is set to a and the current is set to b, then the histogram vector composed of the reference point data in histogram a is H a , the histogram vector composed of the control point data in histogram b is H b .

[0057] The control terminal 1 is electrically connected to the acquisition module 2 through a medium, the acquisition module 2 is electrically connected to the upload unit 21 and the analysis unit 22 through a medium, the acquisition module 2 is electrically connected to the configuration module 3 and the conversion module 4 through a medium, the conversion module 4 is internally electrically connected to the reset unit 41 through a medium, the configuration module 3 is electrically connected to the upload unit 21 through a medium, the reset unit 41 is electrically connected to the acquisition module 2 through a medium, the conversion module 4 is electrically connected to the evaluation module 5 through a medium, and the evaluation module 5 is electrically connected to the output module 6 through a medium.

[0058] In this embodiment, the control terminal 1 controls the collection module 2 to collect the user's real-time electricity consumption data, the configuration module 3 is post-operated to configure the data transceiver base station, and the data transceiver base station is used to perform the distributed aggregation of the real-time electricity consumption data of the electricity users collected in the collection module 2. The conversion module 4 then receives the distributed aggregation result data of the real-time electricity consumption data in the configuration module 3, and performs a data histogram conversion operation on the distributed aggregation result data of the real-time electricity consumption data. The synchronous evaluation module 5 receives the data histogram corresponding to the distributed aggregation result data of the real-time electricity consumption data output by the conversion module 4, evaluates the similarity between each histogram, and finally obtains and outputs the similarity evaluation results between each histogram output by the evaluation module 5 and the electricity consumption data of each histogram collected in the collection module 2 for the application electricity users through the output module 6.

[0059] In addition, through the calculation of the formula recorded above, the similarity between the histograms can be evaluated, so that the system management end user can make more adaptive decisions on the construction planning of the power supply and transmission routes in the later stage.

[0060] Example 2

[0061] In terms of specific implementation, based on Example 1, this example refers to Figure 1 A distributed storage system based on power metering in Example 1 is further described in detail.

[0062] During the operation stage, the analysis unit 22 receives the power consumption and the start and end timestamps of the power consumption in the real-time power consumption data of the power user, and manually sets the single power consumption threshold and the high-frequency time span threshold of power consumption through the system-side user, analyzes the user's power consumption and the start and end timestamps of power consumption based on the single power consumption threshold and the high-frequency time span threshold of power consumption, and captures the real-time power consumption data within the two sets of thresholds. The captured real-time power consumption data is the power consumption characteristics of the power user analyzed in the analysis unit 22.

[0063] The above settings can bring about a limiting effect on the analysis of electricity consumption characteristics of electricity users, thereby providing necessary data support for the operation of subsequent modules in the system.

[0064] like Figure 1As shown, when the configuration module 3 is running, it synchronously receives the power user location information and the power user power line correlation data in the power user parameter information uploaded by the uploading unit 21, applies the power user location information and the power user power line correlation data to further construct the power user distribution topology, performs matrix segmentation on the constructed power user distribution topology, and analyzes the power user distribution density in each segmentation matrix based on the segmented power user distribution topology, and configures the data transceiver base station through the power user distribution density of each segmentation matrix in each power user distribution topology;

[0065] Among them, the configuration logic of the distribution density of data transceiver base stations and electricity users is 1 group / 15%. In the same partitioning matrix, when the number of data transceiver base stations configured according to the configuration logic exceeds one group, any group of data transceiver base stations in the partitioning matrix is ​​selected to perform further reception of real-time electricity consumption data received by other data transceiver base stations in the same partitioning matrix. The data transceiver base stations configured in the configuration module 3 are connected to the electricity meters or other data transceiver base stations deployed on the electricity users' power lines through a wireless network, and the wireless network is used to perform real-time data interaction operations.

[0066] Through the above settings, a better configuration logic is provided for the configuration of the data transceiver base station, ensuring that the data transceiver base station configured by the system not only meets the requirements of system operation, but also ensures that the deployment of the data transceiver base station is more economical.

[0067] like Figure 1 As shown, the distribution density of electricity users in the partition matrix is ​​obtained by the following formula:

[0068]

[0069] Where: k is the distribution density of electricity users in the segmentation matrix; s is the number of windows in the segmentation matrix; |ω| is the number of pixels in the window in the topological image corresponding to the segmentation matrix; p i is the topological image corresponding to the partition matrix in the electricity user distribution topology; μ k is the window ω in the image k The mean of for The mean of is the window ω in the image k The variance of ; ε is the variance adjustment parameter.

[0070] By calculating with the above formula, the distribution density of electricity users is obtained in real time for each segmentation matrix of the electricity user distribution topology, thereby providing necessary data support for the design and deployment of the above data transceiver base station.

[0071] Example 3

[0072] In terms of specific implementation, based on Example 1, this example refers to Figure 1 A distributed storage system based on power metering in Example 1 is further described in detail.

[0073] During the operation phase of configuration module 3, the sparsest time period of each power consumption period of each power user in the power user distribution topology is captured in units of hours, and the captured time period is used as the operation time period of the data transceiver base station to trigger the operation of the data transceiver base station. After the data transceiver base station completes the reception of the real-time power consumption data of the power users within the range of each segmentation matrix, it further selects any group of data transceiver base stations to complete the transmission and aggregation of the real-time power consumption data of the power users;

[0074] Among them, during the execution of the transmission and aggregation operation of the real-time electricity consumption data of electricity users by the data transceiver base station, any data transceiver base station in the distribution topology of the electricity users is used as the real-time electricity consumption data transmission medium to complete the forwarding of the user's real-time electricity consumption data, and any group of data transceiver base stations are selected to complete the transmission and aggregation operation of the real-time electricity consumption data of the electricity users, that is, the distributed aggregation operation of the real-time electricity consumption data in the configuration module 3.

[0075] The above settings provide necessary transmission logic for the transmission of user electricity usage data, ensuring that user electricity usage data can be stored in a distributed manner.

[0076] like Figure 1 As shown, when the conversion module 4 performs the operation of converting the distributed summary result data of the real-time power consumption data into the data histogram, the conversion of the data histogram is completed with each power user target as the minimum unit;

[0077] The conversion module 4 is internally provided with submodules, including:

[0078] The reset unit 41 is used to set the ambient temperature threshold, monitor the real-time ambient temperature of the system service area, and trigger a jump to control the acquisition module 2 to reset when the real-time ambient temperature in the system service area changes to the ambient temperature threshold for seven consecutive days;

[0079] Among them, each time the collection module 2 is triggered by the reset unit 41 to jump and reset, the real-time electricity consumption data of the user collected before the jump is stored, and it is separated from the real-time electricity consumption data of the user collected after the collection module 2 is reset and stored. The system service area is the area composed of the location information of the electricity user in the parameter information of the electricity user.

[0080] In summary, the system in the above embodiment brings a distributed storage processing effect to the user's real-time electricity consumption data by collecting the user's electricity consumption data and analyzing the electricity user's parameter information, effectively improving the efficiency and stability of electricity data storage, and with a highly robust operation logic, it can ensure that the system can cope with the problem of the increasing number of electricity users and ensure the safe and stable collection of electricity users; and during the operation of the system, it can simultaneously complete the construction and generation of the electricity user distribution topology and the electricity user's electricity consumption data histogram, further assisting the system end user to analyze and manage the user's electricity consumption data, and deploying data transceiver base stations based on the distribution purpose of the electricity users, ensuring the stable transmission and distributed storage of the user's electricity consumption data; at the same time, when the system is running, through the similarity analysis of the histogram corresponding to the electricity consumption data of each electricity user, it can map out the electricity consumption habits of each electricity user, and use this as a data reference, so that the system management end user can make more adaptive decisions on the construction planning of power supply and transmission routes in the later stage.

[0081] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A distributed storage system based on power metering, characterized in that: include: The control terminal (1) is the main control terminal of the system and is used to issue execution commands; A collection module (2), used to collect real-time electricity consumption data of electricity users; A configuration module (3) is used to configure a data transceiver base station, and use the data transceiver base station to execute distributed aggregation of the real-time power consumption data collected in the collection module (2); A conversion module (4) is used to receive the distributed summary result data of the real-time power consumption data in the configuration module (3), and perform a data histogram conversion operation on the distributed summary result data of the real-time power consumption data; An evaluation module (5) is used to receive the data histogram corresponding to the distributed summary result data of the real-time power consumption data output by the conversion module (4), and evaluate the similarity between the histograms; An output module (6) is used to obtain and output similarity evaluation results between the histograms output by the evaluation module (5) and real-time electricity consumption data of electricity users corresponding to the histograms collected by the collection module (2); The data content output by the output module (6) also includes: the parameter information of each histogram corresponding to the electricity user in the upload unit (21) of the lower submodule of the acquisition module (2), the location information of the electricity user and the correlation between the electricity user's electricity lines.

2. The distributed storage system based on power metering according to claim 1 is characterized in that: The acquisition module (2) is provided with a submodule at a lower level, including: An uploading unit (21), used for uploading parameter information of electricity users; An analysis unit (22) is used to receive the real-time electricity consumption data of the electricity users collected by the collection module (2), and use the real-time electricity consumption data of the electricity users to analyze the electricity consumption characteristics of the electricity users; The power user parameter information uploaded in the uploading unit (21) is manually uploaded by the system end user, and the power user parameter information includes: the power user location information, whether the power user is residential or commercial power, the power user power line association, and the power user power voltage; the power user real-time power consumption data collected by the collection module (2) includes: the power user power consumption and the power user power consumption start and end timestamps.

3. The distributed storage system based on power metering according to claim 2 is characterized in that: During the operation phase, the analysis unit (22) receives the power consumption and power start and end timestamps in the real-time power consumption data of the power user, and manually sets the single power consumption threshold and the high-frequency power consumption time span threshold through the system end user, analyzes the user's power consumption and the power start and end timestamps based on the single power consumption threshold and the high-frequency power consumption time span threshold, and captures the real-time power consumption data within the two sets of thresholds. The captured real-time power consumption data is the power consumption characteristics of the power user analyzed in the analysis unit (22).

4. The distributed storage system based on power metering according to claim 1 is characterized in that: When the configuration module (3) is in operation, it synchronously receives the power user location information and the power user power line association data in the power user parameter information uploaded by the uploading unit (21), further constructs the power user distribution topology using the power user location information and the power user power line association data, performs matrix segmentation on the constructed power user distribution topology, and analyzes the power user distribution density in each segmentation matrix based on the segmented power user distribution topology, and configures the data transceiver base station according to the power user distribution density of each segmentation matrix in each power user distribution topology; The configuration logic of the distribution density of data transceiver base stations and electricity users is 1 group / 15%. In the same partition matrix, when the number of data transceiver base stations configured according to the configuration logic exceeds one group, any group of data transceiver base stations in the partition matrix is ​​selected to execute other data transceiver base stations in the same partition matrix to further receive real-time electricity consumption data. The data transceiver base stations configured in the configuration module (3) are connected to the electricity meters or other data transceiver base stations deployed on the electricity user's power lines through a wireless network, and the wireless network is used to perform real-time data interaction operations.

5. The distributed storage system based on power metering according to claim 4 is characterized in that: The distribution density of electricity users in the segmentation matrix is ​​obtained by the following formula: Where: k is the distribution density of electricity users in the segmentation matrix; s is the number of windows in the segmentation matrix; ω is the number of pixels in the window in the topological image corresponding to the segmentation matrix; p i is the topological image corresponding to the partition matrix in the electricity user distribution topology; μ k is the mean of window ωk in the image; for The mean of is the variance of window ωk in the image; ε is the variance adjustment parameter.

6. The distributed storage system based on power metering according to claim 4 is characterized in that: During the operation phase of the configuration module (3), the sparsest time period among the power consumption time periods of each power user in the power user distribution topology is captured in units of hours, and the captured time period is used as the operation time period of the data transceiver base station to trigger the operation of the data transceiver base station. After the data transceiver base stations complete the reception of the real-time power consumption data of the power users within the range of their respective segmentation matrices, they further select any group of data transceiver base stations to complete the transmission and aggregation of the real-time power consumption data of the power users; Among them, during the execution of the transmission and aggregation operation of the real-time electricity consumption data of the electricity users by the data transceiver base station, any data transceiver base station in the distribution topology of the electricity users is used as the real-time electricity consumption data transmission medium to complete the forwarding of the user's real-time electricity consumption data, and any group of data transceiver base stations are selected to complete the transmission and aggregation operation of the real-time electricity consumption data of the electricity users, that is, the distributed aggregation operation of the real-time electricity consumption data in the configuration module (3).

7. The distributed storage system based on power metering according to claim 1 is characterized in that: When executing the operation of converting the distributed summary result data of the real-time power consumption data into the data histogram, the conversion module (4) completes the conversion of the data histogram with each power user target as the minimum unit.

8. The distributed storage system based on power metering according to claim 1 is characterized in that: The conversion module (4) is internally provided with submodules, including: A reset unit (41) is used to set an ambient temperature threshold, monitor the real-time ambient temperature of the system service area, and trigger a jump when it is detected that the real-time ambient temperature in the system service area changes the ambient temperature threshold for seven consecutive days, and control the acquisition module (2) to reset and run; Wherein, each time the acquisition module (2) is triggered by the reset unit (41) to jump and reset, the real-time electricity consumption data of the user collected before the jump is stored, and the real-time electricity consumption data of the user collected after the acquisition module (2) is reset and stored separately, and the system service area is the area composed of the location information of the electricity user in the parameter information of the electricity user.

9. The distributed storage system based on power metering according to claim 1, characterized in that: The similarity R between the histograms in the evaluation module (5) is calculated by the following formula: In the formula, H a is the histogram vector composed of the control point data in histogram a; H b is the histogram vector composed of the control point data in histogram b; Among them, the control points in the histogram are customized by the system end user.

10. The distributed storage system based on power metering according to claim 1, characterized in that: The control terminal (1) is electrically connected to the acquisition module (2) through a medium, the acquisition module (2) is electrically connected to the upload unit (21) and the analysis unit (22) through a medium, the acquisition module (2) is electrically connected to the configuration module (3) and the conversion module (4) through a medium, the conversion module (4) is electrically connected to the reset unit (41) through a medium, the configuration module (3) is electrically connected to the upload unit (21) through a medium, the reset unit (41) is electrically connected to the acquisition module (2) through a medium, the conversion module (4) is electrically connected to the evaluation module (5) through a medium, and the evaluation module (5) is electrically connected to the output module (6) through a medium.

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