A concentrator cooperates with an electric energy meter communication system

Abstract

The application discloses a kind of concentrator cooperation electric energy meter communication systems, belong to communication technical field, comprising: data acquisition module, for according to electric energy meter built-in sensor acquisition user electricity real-time data;Data transmission module is used to establish the data transmission network connection between electric energy meter and concentrator, and the user electricity real-time data that electric energy meter acquisition is encrypted transmission to concentrator;Data processing module is used to pre-process to user electricity real-time data, and user electricity real-time data is stored safely;Remote control module is used to analyze user electricity real-time data, and carries out remote control according to user electricity analysis result.The application solves the problem that existing cannot realize accurate collection, efficient transmission and intelligent management to electric power data, leading to poor user electricity control effect.The application can realize accurate collection, efficient transmission and intelligent management to user electricity real-time data, and can improve user electricity control effect.

Description

Technical Field

[0001] This invention relates to the field of communication technology, specifically to a communication system for a concentrator and a power meter. Background Technology

[0002] The concentrator is the central management and control device of a remote centralized meter reading system. It is responsible for functions such as periodically reading terminal data, transmitting system commands, data communication, network management, event logging, and horizontal data transmission. It serves as the central connection point connecting terminals, computers, or communication equipment.

[0003] Chinese patent application CN215529063U discloses a centralized data collection system based on a concentrator and an electricity meter, including an electricity meter, a concentrator, and a cloud platform. A first communication module connects the concentrator and the electricity meter, and a second communication module connects the concentrator and the cloud platform. The electricity meter has a data acquisition module. The cloud platform centrally controls the electricity meter and reads its data through the concentrator. The concentrator reads the meter data through the first communication module and can simultaneously control the meter to trip. These two communication methods meet the needs of different installation scenarios, helping users reduce operating or installation costs. However, this patent has the following drawbacks:

[0004] Existing technologies cannot achieve accurate collection, efficient transmission, and intelligent management of power data based on concentrators and energy meters, resulting in poor user power consumption control. Summary of the Invention

[0005] The purpose of this invention is to provide a communication system for a concentrator and a power meter, which can realize accurate collection, efficient transmission and intelligent management of real-time user electricity consumption data, improve the user's electricity consumption control effect and solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A communication system for concentrator-assisted energy meter communication includes:

[0008] The data acquisition module is used to collect real-time electricity consumption data from the built-in sensors of the electricity meter;

[0009] The data transmission module is used to establish a data transmission network connection between the electricity meter and the concentrator, and to encrypt and transmit the real-time electricity consumption data collected by the electricity meter to the concentrator.

[0010] The data processing module is used to preprocess real-time user electricity consumption data and securely store the real-time user electricity consumption data.

[0011] The remote control module is used to analyze real-time user electricity consumption data and perform remote control based on the analysis results.

[0012] Preferably, based on the real-time electricity consumption data collected by the built-in sensor of the electricity meter, the following operations are performed:

[0013] The electricity meter uses a built-in power sensor to monitor the user's electricity consumption in real time and obtain the user's electricity consumption data.

[0014] The power sensor built into the electricity meter is used to monitor the user's power consumption in real time and obtain the user's power consumption data.

[0015] The electricity meter uses a built-in voltage sensor to monitor the user's electricity voltage in real time and obtain the user's electricity voltage data.

[0016] The electricity meter uses a built-in current sensor to monitor the user's electricity current in real time and obtain the user's electricity current data.

[0017] Specifically, real-time user electricity consumption data is determined based on user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data.

[0018] Preferably, a data transmission network connection is established between the energy meter and the concentrator, and the following operations are performed:

[0019] The electricity meter sends a command to the concentrator requesting the establishment of a data transmission network connection. After receiving the command from the electricity meter, the concentrator performs security verification on the electricity meter's data transmission communication interface.

[0020] After the data transmission communication interface of the electricity meter is successfully verified, the concentrator sends an instruction to the electricity meter to agree to establish a data transmission network connection. After receiving the instruction from the concentrator, the electricity meter establishes a data transmission network connection with the concentrator through the successfully verified data transmission communication interface.

[0021] Preferably, the concentrator performs security verification on the data transmission communication interface of the energy meter and performs the following operations:

[0022] The data transmission communication interface of the electricity meter is compared and analyzed with that of the concentrator to assess whether the electricity meter is qualified to communicate with the concentrator.

[0023] If the data transmission communication interface of the electricity meter is within the range of the data transmission communication interface of the concentrator, then the security verification of the data transmission communication interface of the electricity meter is successful, and the electricity meter is qualified to communicate with the concentrator via data transmission.

[0024] If the data transmission communication interface of the electricity meter is not within the range of the data transmission communication interface of the concentrator, the security verification of the data transmission communication interface of the electricity meter will fail, and the electricity meter will not be qualified to communicate with the concentrator via data transmission.

[0025] Preferably, after the energy meter successfully establishes a data transmission network connection with the concentrator through the data transmission communication interface after security verification, the saturation channel capacity ratio of the data transmission communication channel is set, and the following operations are performed:

[0026] The data acquisition frequency for retrieving user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data from the electricity meter;

[0027] The acquisition frequencies of the user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data are compared.

[0028] When the data acquisition frequencies of the user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data are the same, retrieve the amount of user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data acquired each time.

[0029] Based on the number of times user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data are collected per unit time, the total amount of user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data collected per unit time is obtained; and the saturation channel capacity ratio of the data transmission communication channel is set using the total amount of data collected.

[0030] When the data acquisition frequencies of the user's electricity consumption data, user's power consumption data, user's voltage consumption data, and user's current consumption data are different, the data acquisition amount per unit time corresponding to the maximum value of the data acquisition frequencies of the user's electricity consumption data, user's power consumption data, user's voltage consumption data, and user's current consumption data is retrieved as the first data amount.

[0031] The amount of real-time electricity consumption data of other users, excluding the maximum frequency value in the data acquisition frequency, is retrieved per unit time as the second data volume.

[0032] The saturation channel capacity ratio of the data transmission communication channel is set based on the first data volume and the second data volume.

[0033] Preferably, the saturation channel capacity ratio of the data transmission communication channel is set according to the first data volume and the second data volume, and the following operations are performed:

[0034] Retrieve the first and second data volumes;

[0035] In addition to the first and second data volumes, the data transmission volume per unit time of other data within the data transmission communication channel is monitored in real time and used as the third data volume.

[0036] For the third data volume generated in each unit of time, the difference between the third data volume generated in each unit of time and the first and second data volumes in the unit of time is compared to obtain the difference between the third data volume and the first data volume and the difference between the third data volume and the second data volume.

[0037] The difference between the third data quantity and the first data quantity is taken as the first difference data.

[0038] The difference between the third data quantity and the second data quantity is used as the second difference data.

[0039] Obtain the first difference standard deviation data and the second difference standard deviation data based on the first difference data and the second difference data corresponding to each unit of time;

[0040] The saturation channel capacity ratio of the data transmission communication channel is set using the first difference standard deviation data and the second difference standard deviation data.

[0041] Preferably, after the electricity meter and the concentrator establish a data transmission network connection, the concentrator reads the user's real-time electricity consumption data from the electricity meter, automatically selects the optimal data transmission path according to the network topology, and transmits the user's real-time electricity consumption data to the concentrator through the optimal data transmission path, so that the concentrator can collect the user's real-time electricity consumption data periodically.

[0042] Preferably, the real-time electricity consumption data of users is transmitted to the concentrator, and the following operations are performed:

[0043] The electricity meter uses an encryption key to encrypt the user's real-time electricity consumption data, and transmits the encrypted real-time electricity consumption data to the concentrator through the optimal data transmission path;

[0044] After receiving the encrypted real-time electricity consumption data transmitted by the electricity meter, the concentrator uses a decryption key to decrypt the real-time electricity consumption data, thereby obtaining the decrypted real-time electricity consumption data and ensuring the security of real-time electricity consumption data transmission.

[0045] Preferably, the real-time user electricity consumption data is preprocessed, and the following operations are performed:

[0046] Clean the real-time user electricity consumption data to remove noise and reduce the interference of noise in the real-time user electricity consumption data on the remote control of user electricity consumption.

[0047] Check the real-time electricity consumption data of users, identify missing and outlier values ​​in the real-time electricity consumption data, and process the missing and outlier values ​​in the real-time electricity consumption data;

[0048] Among them, missing and outlier values ​​in real-time user electricity consumption data are evaluated to determine whether missing and outlier values ​​in real-time user electricity consumption data are valuable for remote control of user electricity consumption.

[0049] If missing or outlier values ​​in the real-time user electricity consumption data are valuable for remote control of user electricity consumption, then the missing values ​​in the real-time user electricity consumption data will be filled and the outlier values ​​in the real-time user electricity consumption data will be corrected.

[0050] If missing or outlier values ​​in the user's real-time electricity consumption data are of no value to the remote control of the user's electricity consumption, then the missing or outlier values ​​in the user's real-time electricity consumption data should be deleted.

[0051] Preferably, in addition to preprocessing the real-time user electricity consumption data, the following operations are performed:

[0052] Normalize the real-time electricity consumption data of users, convert the real-time electricity consumption data of users into a unified data format, remove the differences in units of measurement in the real-time electricity consumption data of users, and form standardized real-time electricity consumption data of users.

[0053] Real-time user electricity consumption data is integrated, combining real-time user electricity consumption data from different sources into a unified data view. The integrity of the integrated real-time user electricity consumption data is verified. After the integrity verification of the integrated real-time user electricity consumption data is qualified, the integrated real-time user electricity consumption data is securely stored.

[0054] Preferably, the integrity of the integrated real-time user electricity consumption data is verified by performing the following operations:

[0055] The integrated real-time user electricity consumption data is compared and analyzed with the real-time user electricity consumption data before integration to assess whether the integrated real-time user electricity consumption data is the same as the real-time user electricity consumption data before integration, and to determine the integrity of the integrated real-time user electricity consumption data.

[0056] When the integrated real-time user electricity consumption data is the same as the real-time user electricity consumption data before integration, the integrated real-time user electricity consumption data has data integrity, that is, the integrated real-time user electricity consumption data does not lack data.

[0057] When the integrated real-time user electricity consumption data differs from the original real-time user electricity consumption data, the integrated real-time user electricity consumption data lacks data integrity, meaning that the integrated real-time user electricity consumption data is missing data. In this case, the integrated real-time user electricity consumption data should be checked to find the missing data and fill in the missing data.

[0058] Preferably, the real-time electricity consumption data of users is analyzed, and the following operations are performed:

[0059] Pre-set user electricity consumption standard data, and analyze real-time user electricity consumption data based on user electricity consumption standard data to assess whether there are any abnormal behaviors in the current user electricity consumption, thereby determining the user electricity consumption analysis results;

[0060] Specifically, when the user's electricity consumption analysis results indicate abnormal behavior in the current user's electricity consumption, the user's current electricity consumption will be remotely controlled to issue timely warnings and alarms and resolve the abnormal behavior.

[0061] Compared with the prior art, the beneficial effects of the present invention are:

[0062] This invention utilizes multiple sensors built into the electricity meter to monitor users' electricity consumption, power, voltage, and current in real time, thereby collecting real-time electricity data. A data transmission network connection is established between the electricity meter and a concentrator, and the optimal data transmission path is automatically selected based on the network topology. This optimal path ensures the secure transmission of the real-time electricity data collected by the electricity meter to the concentrator, guaranteeing data security. The real-time electricity data is pre-processed and securely stored for easy access. Analysis of the data allows for timely early warnings, alarms, and remote control, promptly addressing abnormal electricity consumption behavior. This invention achieves accurate collection, efficient transmission, and intelligent management of real-time electricity data, improving the effectiveness of electricity management. Attached Figure Description

[0063] Figure 1 This is a block diagram of the communication system of the concentrator-coordinated energy meter of the present invention;

[0064] Figure 2 This is a flowchart of the communication system of the concentrator-coordinated energy meter of the present invention. Detailed Implementation

[0065] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0066] To address the current issue of ineffective user electricity consumption control due to the inability to achieve accurate data collection, efficient transmission, and intelligent management of electricity data through concentrator-based coordination with energy meters, please refer to [link / reference needed]. Figures 1-2 This embodiment provides the following technical solution:

[0067] A communication system for a concentrator-coordinated energy meter includes: a data acquisition module, a data transmission module, a data processing module, and a remote control module.

[0068] The data acquisition module is used to collect real-time electricity consumption data from the built-in sensors of the electricity meter.

[0069] In this embodiment, based on the real-time electricity consumption data collected by the built-in sensor of the electricity meter, the following operations are performed:

[0070] The electricity meter uses a built-in power sensor to monitor the user's electricity consumption in real time and obtain the user's electricity consumption data.

[0071] The power sensor built into the electricity meter is used to monitor the user's power consumption in real time and obtain the user's power consumption data.

[0072] The electricity meter uses a built-in voltage sensor to monitor the user's electricity voltage in real time and obtain the user's electricity voltage data.

[0073] The electricity meter uses a built-in current sensor to monitor the user's electricity current in real time and obtain the user's electricity current data.

[0074] Specifically, real-time user electricity consumption data is determined based on user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data.

[0075] It should be noted that the electricity meter uses multiple built-in sensors to monitor the user's electricity consumption, power, voltage, and current in real time, thereby collecting real-time electricity consumption data. This data is then analyzed to provide timely warnings, alarms, and remote control, and to promptly resolve any abnormal electricity consumption behavior.

[0076] The data transmission module is used to establish a data transmission network connection between the electricity meter and the concentrator, and to encrypt and transmit the real-time electricity consumption data collected by the electricity meter to the concentrator.

[0077] In this embodiment, a data transmission network connection is established between the electricity meter and the concentrator, and the following operations are performed:

[0078] The electricity meter sends a command to the concentrator requesting the establishment of a data transmission network connection. After receiving the command from the electricity meter, the concentrator performs security verification on the electricity meter's data transmission communication interface.

[0079] The data transmission communication interface of the electricity meter is compared and analyzed with that of the concentrator to assess whether the electricity meter is qualified to communicate with the concentrator.

[0080] If the data transmission communication interface of the electricity meter is within the range of the data transmission communication interface of the concentrator, then the security verification of the data transmission communication interface of the electricity meter is successful, and the electricity meter is qualified to communicate with the concentrator via data transmission.

[0081] If the data transmission communication interface of the electricity meter is not within the range of the data transmission communication interface of the concentrator, the security verification of the data transmission communication interface of the electricity meter will fail, and the electricity meter will not be qualified to communicate with the concentrator via data transmission.

[0082] After the data transmission communication interface of the electricity meter is successfully verified, the concentrator sends an instruction to the electricity meter to agree to establish a data transmission network connection. After receiving the instruction from the concentrator, the electricity meter establishes a data transmission network connection with the concentrator through the successfully verified data transmission communication interface.

[0083] Specifically, the data transmission communication interface of the electricity meter is subjected to security verification. The security verification results of the data transmission communication interface of the electricity meter are shown in Table 1.

[0084] Table 1: Security Verification Results of the Data Transmission Communication Interface of the Electricity Meter

[0085]

[0086] Therefore, by performing security verification on the data transmission communication interface of the electricity meter, the electricity meter can establish a data transmission network connection with the concentrator only after the data transmission communication interface of the electricity meter is successfully verified, which facilitates the subsequent encrypted transmission of real-time electricity consumption data of users.

[0087] Simultaneously, after the electricity meter successfully establishes a data transmission network connection with the concentrator through the data transmission communication interface after security verification, the saturation channel capacity ratio of the data transmission communication channel is set, and the following operations are performed:

[0088] The data acquisition frequency for retrieving user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data from the electricity meter;

[0089] The acquisition frequencies of the user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data are compared.

[0090] When the data acquisition frequencies of the user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data are the same, retrieve the amount of user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data acquired each time.

[0091] Based on the number of data collections for user electricity consumption, power consumption, voltage consumption, and current consumption within a unit time period (range 1-3 minutes), the total amount of user electricity consumption, power consumption, voltage consumption, and current consumption data collected per unit time period is obtained. The saturation channel capacity ratio of the data transmission communication channel is then set using this total data collection amount. The saturation channel capacity ratio is obtained using the following formula:

[0092]

[0093] Where B represents the saturated channel capacity percentage; B0 represents the theoretical saturated channel capacity percentage of the data transmission communication channel; C z Indicates the total amount of data collected; C y This represents the average remaining channel capacity per unit time during the historical operation of the data transmission communication channel; f max This represents the normalized value of the maximum theoretically permissible sampling frequency among user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data.

[0094] When the data acquisition frequencies of the user's electricity consumption data, user's power consumption data, user's voltage consumption data, and user's current consumption data are different, the data acquisition amount per unit time corresponding to the maximum value of the data acquisition frequencies of the user's electricity consumption data, user's power consumption data, user's voltage consumption data, and user's current consumption data is retrieved as the first data amount.

[0095] The amount of real-time electricity consumption data of other users, excluding the maximum frequency value in the data acquisition frequency, is retrieved per unit time as the second data volume.

[0096] The saturation channel capacity ratio of the data transmission communication channel is set based on the first data volume and the second data volume.

[0097] In this embodiment, by differentiating between scenarios with the same / different collection frequencies, the saturated channel capacity ratio is dynamically calculated, ensuring a deep match between channel resource allocation and electricity data collection needs. In scenarios with fluctuating electricity consumption, channel resource utilization is increased by 30%-50%, avoiding resource idleness or overload. Modeling based on parameters such as total data collection volume and historical remaining channel capacity effectively mitigates the impact of frequency fluctuations caused by electricity consumption, reducing the channel transmission packet loss rate to below 2% (compared to approximately 8% in traditional fixed allocation modes). For scenarios with the same frequency, the total data volume is used as the core parameter; for scenarios with different frequencies, a distinction is made between first and second data volumes, covering all operating conditions of the electricity meter (such as peak-valley switching in residential electricity consumption and start-up and shutdown of industrial equipment), improving adaptability by 60%. Simultaneously, the above technical solution implements dual-scenario adaptation settings for the ratio, prioritizing the bandwidth requirements for stable high-frequency collection by separating the "maximum frequency data volume (first data volume)" from the "other frequency data volume (second data volume)," and dynamically allocating channels according to data priority to ensure priority transmission of critical high-frequency data (such as power surges). Changes in electricity consumption trigger adjustments to the electricity meter's data collection frequency, and these frequency changes are reflected in channel requirements (high-frequency data collection corresponds to high bandwidth requirements). During the channel adaptation mechanism, the "data collection frequency difference" of electricity consumption data is transformed into a "channel capacity proportion weight" through classification calculations, utilizing the formula f... max Anchoring to maximum bandwidth requirements, combined with C z / C y Dynamically compress / expand channel ratio to achieve closed-loop control of "power fluctuation → sampling frequency change → adaptive adjustment of channel capacity".

[0098] Meanwhile, when electrical equipment frequently starts and stops, resulting in significant differences in data collection frequency, the "first data volume" priority mechanism ensures that power / current surge data is transmitted first, reducing the monitoring system's response time to abnormal power consumption to 0.5 seconds (compared to 2-3 seconds in the traditional mode); for residential power consumption with low fluctuations at night (same frequency), through C... z / C yPrecise channel allocation reduces channel idle time from 40% to 15%, while avoiding interference caused by excessive channel usage. The formula combines B0 (theoretical capacity) with actual operating parameters to adapt "theoretical channel capacity" to "dynamic demand capacity." Essentially, this involves a multi-dimensional mapping of electrical physical quantities (current, voltage, etc.) → acquisition frequency → data volume → channel allocation, enabling deep collaboration between the energy meter-concentrator communication and the physical processes of electricity consumption. Furthermore, this scheme first processes data based on whether the acquisition frequencies are the same, dividing the scenario into different scenarios. When frequencies are the same, the channel allocation is precisely quantified using the total data acquisition volume, historical remaining channel capacity, and the normalized value of the maximum theoretical frequency, ensuring stable high-frequency acquisition bandwidth. When frequencies differ, channels are dynamically allocated based on different priority data volumes. By leveraging the correlation between electricity consumption data collection frequency, data volume, and channel parameters, it transforms physical fluctuations in electricity consumption into a basis for channel capacity adaptation. When electricity consumption causes changes in the collection frequency, it can quickly respond and accurately allocate channel resources, reducing packet loss rate and improving data transmission stability and timeliness. This makes the collaboration between the concentrator and the electricity meter more efficient, laying a solid communication foundation for accurate collection and efficient transmission of electricity data. Consequently, it enables more precise and effective user electricity consumption management based on accurate electricity data (such as peak-valley electricity consumption guidance and abnormal electricity consumption identification).

[0099] Specifically, based on the first data volume and the second data volume, the saturation channel capacity ratio of the data transmission communication channel is set, and the following operations are performed:

[0100] Retrieve the first and second data volumes;

[0101] In addition to the first and second data volumes, the data transmission volume per unit time of other data within the data transmission communication channel is monitored in real time and used as the third data volume.

[0102] For the third data volume generated in each unit of time, the difference between the third data volume generated in each unit of time and the first and second data volumes in the unit of time is compared to obtain the difference between the third data volume and the first data volume and the difference between the third data volume and the second data volume.

[0103] The difference between the third data quantity and the first data quantity is taken as the first difference data.

[0104] The difference between the third data quantity and the second data quantity is used as the second difference data.

[0105] Obtain the first difference standard deviation data and the second difference standard deviation data based on the first difference data and the second difference data corresponding to each unit of time;

[0106] The saturation channel capacity ratio of the data transmission communication channel is set using the first difference standard deviation data and the second difference standard deviation data.

[0107] The saturation channel capacity ratio of the data transmission communication channel is obtained by the following formula:

[0108]

[0109] Where B represents the saturated channel capacity percentage; B0 represents the theoretical saturated channel capacity percentage of the data transmission communication channel; σ 01 and σ 02 These represent the first and second standard deviations of the difference data, respectively. Specifically, changes in electricity consumption cause variations in the frequency at which the electricity meter collects data on electricity consumption, power, voltage, and current. These frequency changes cause variations in the amount of data transmitted per unit time (the first and second data amounts, etc.). These data interact with other data (the third data amount) during channel transmission, resulting in differences. By calculating the standard deviation of these differences, the degree of fluctuation in this influence is quantified. Based on the theoretical saturation channel capacity ratio B0, the first difference standard deviation σ is used. 01 The second difference standard deviation σ 02 This system reflects the impact of data volume fluctuations on the channel and dynamically adjusts the saturated channel capacity ratio through mathematical calculations. This achieves closed-loop control of "power consumption changes → acquisition frequency changes → data volume fluctuations → channel capacity adaptation," allowing channel resource allocation to flexibly adjust according to the actual power consumption, data acquisition, and transmission conditions. Meanwhile, traditional fixed-ratio allocation is prone to "over-ratio (channel idle)" or "under-ratio (data congestion)" due to power consumption fluctuations. This is addressed by using the standard deviation σ... 01 and σ 02 Quantifying data volume fluctuations (such as changes in acquisition frequency caused by peak and off-peak electricity consumption); changes in acquisition frequency caused by electricity consumption can lead to a double impact of "data volume fluctuations (first and second data volumes)" and "channel interference fluctuations (third data volume difference)". Standard deviation simultaneously captures both the data's own fluctuations (changes in acquisition frequency) and channel environment fluctuations (other data interference), allowing the proportion setting to cover the entire chain of fluctuations from "electricity physical layer to data link layer", improving matching accuracy by more than 50%.

[0110] In this embodiment, by introducing a third data volume and difference standard deviation analysis, the saturated channel capacity ratio is dynamically adjusted, ensuring that channel resource allocation is deeply aligned with the complex realities of electricity data collection and transmission. In scenarios with fluctuating electricity consumption, the channel resource allocation error can be reduced to within 5%, improving channel resource utilization efficiency and data transmission stability. Considering the impact of other data within the channel (the third data volume) and the fluctuations in the difference between the third and second data volumes, interference caused by changes in data collection frequency due to fluctuations in electricity consumption can be effectively mitigated, reducing data transmission packet loss and bit error rates and ensuring reliable transmission of electricity data. For diverse scenarios where electricity consumption leads to changes in collection frequency, adaptation logic is constructed from the dimensions of data difference and standard deviation, covering different operating conditions such as peak and off-peak electricity consumption in residential areas and start-up and shutdown of industrial equipment, enhancing adaptability to complex electricity environments. Meanwhile, when power consumption changes (such as the startup of high-power equipment, which alters the power and current data acquisition frequency), the system monitors the difference and standard deviation between the third data volume and the first and second data volumes to capture data transmission fluctuations in real time. This shortens the system's response time to changes in acquisition frequency, allowing for rapid adjustment of channel capacity allocation and ensuring timely and accurate data transmission. The calculation of the difference and standard deviation smooths out data volume surges caused by frequent acquisition frequency changes, improving the stability of channel transmission. Even in industrial scenarios where equipment frequently starts and stops, the system maintains data transmission continuity and reduces transmission interruptions and data corruption caused by acquisition frequency fluctuations.

[0111] Meanwhile, this embodiment introduces a third data quantity. By analyzing its difference and standard deviation from the first two data quantities, the saturated channel capacity ratio is dynamically adjusted. The standard deviation is used to quantify data fluctuations caused by changes in the acquisition frequency due to power consumption, as well as interference from other data within the channel, thus constructing a dynamic channel capacity adaptation logic. This effectively mitigates the impact of power consumption fluctuations on data transmission, improves the fit between channel resources and data acquisition and transmission needs, enhances the anti-interference capability and consistency of data transmission, and allows concentrators and energy meters to stably and accurately acquire and transmit power data even in scenarios with frequent power consumption changes. This provides reliable data support for intelligent management, making user power consumption control (such as real-time power consumption monitoring, energy consumption analysis and regulation) based on this data more accurate and efficient, thus optimizing the power consumption control effect.

[0112] In this embodiment, after the electricity meter and the concentrator establish a data transmission network connection, the concentrator reads the user's real-time electricity consumption data from the electricity meter, automatically selects the optimal data transmission path according to the network topology, and transmits the user's real-time electricity consumption data to the concentrator through the optimal data transmission path, so that the concentrator can collect the user's real-time electricity consumption data periodically.

[0113] In this embodiment, real-time user electricity consumption data is transmitted to the concentrator, and the following operations are performed:

[0114] The electricity meter uses an encryption key to encrypt the user's real-time electricity consumption data, and transmits the encrypted real-time electricity consumption data to the concentrator through the optimal data transmission path;

[0115] After receiving the encrypted real-time electricity consumption data transmitted by the electricity meter, the concentrator uses a decryption key to decrypt the real-time electricity consumption data, thereby obtaining the decrypted real-time electricity consumption data and ensuring the security of real-time electricity consumption data transmission.

[0116] The data processing module is used to preprocess real-time user electricity consumption data and to securely store the real-time user electricity consumption data.

[0117] In this embodiment, the real-time user electricity consumption data is preprocessed by performing the following operations:

[0118] Clean the real-time user electricity consumption data to remove noise and reduce the interference of noise in the real-time user electricity consumption data on the remote control of user electricity consumption.

[0119] Check the real-time electricity consumption data of users, identify missing and outlier values ​​in the real-time electricity consumption data, and process the missing and outlier values ​​in the real-time electricity consumption data;

[0120] Among them, missing and outlier values ​​in real-time user electricity consumption data are evaluated to determine whether missing and outlier values ​​in real-time user electricity consumption data are valuable for remote control of user electricity consumption.

[0121] If missing or outlier values ​​in the real-time user electricity consumption data are valuable for remote control of user electricity consumption, then the missing values ​​in the real-time user electricity consumption data will be filled and the outlier values ​​in the real-time user electricity consumption data will be corrected.

[0122] If missing or outlier values ​​in the user's real-time electricity consumption data are of no value to the remote control of the user's electricity consumption, then the missing or outlier values ​​in the user's real-time electricity consumption data should be deleted.

[0123] In this embodiment, the real-time user electricity consumption data is preprocessed, and the following operations are also performed:

[0124] Normalize the real-time electricity consumption data of users, convert the real-time electricity consumption data of users into a unified data format, remove the differences in units of measurement in the real-time electricity consumption data of users, and form standardized real-time electricity consumption data of users.

[0125] Real-time user electricity consumption data is integrated, combining real-time user electricity consumption data from different sources into a unified data view. The integrity of the integrated real-time user electricity consumption data is verified. After the integrity verification of the integrated real-time user electricity consumption data is qualified, the integrated real-time user electricity consumption data is securely stored.

[0126] In this embodiment, the integrity of the integrated real-time user electricity consumption data is verified by performing the following operations:

[0127] The integrated real-time user electricity consumption data is compared and analyzed with the real-time user electricity consumption data before integration to assess whether the integrated real-time user electricity consumption data is the same as the real-time user electricity consumption data before integration, and to determine the integrity of the integrated real-time user electricity consumption data.

[0128] When the integrated real-time user electricity consumption data is the same as the real-time user electricity consumption data before integration, the integrated real-time user electricity consumption data has data integrity, that is, the integrated real-time user electricity consumption data does not lack data.

[0129] When the integrated real-time user electricity consumption data differs from the original real-time user electricity consumption data, the integrated real-time user electricity consumption data lacks data integrity, meaning that the integrated real-time user electricity consumption data is missing data. In this case, the integrated real-time user electricity consumption data should be checked to find the missing data and fill in the missing data.

[0130] Specifically, the integrity of the integrated real-time user electricity consumption data was verified. The integrity verification results of the integrated real-time user electricity consumption data are shown in Table 2.

[0131] Table 2: Integrity Verification Results of Integrated Real-time User Electricity Consumption Data

[0132]

[0133]

[0134] Therefore, by verifying the integrity of the integrated real-time user electricity consumption data, it can be ensured that the integrated real-time user electricity consumption data is complete and has data integrity.

[0135] The remote control module is used to analyze real-time user electricity consumption data and perform remote control based on the analysis results.

[0136] In this embodiment, the real-time electricity consumption data of users is analyzed, and the following operations are performed:

[0137] Pre-set user electricity consumption standard data, and analyze real-time user electricity consumption data based on user electricity consumption standard data to assess whether there are any abnormal behaviors in the current user electricity consumption, thereby determining the user electricity consumption analysis results;

[0138] Specifically, when the user's electricity consumption analysis results indicate abnormal behavior in the current user's electricity consumption, the user's current electricity consumption will be remotely controlled to issue timely warnings and alarms and resolve the abnormal behavior.

[0139] In summary, by using multiple sensors built into the electricity meter to monitor users' electricity consumption, power, voltage, and current in real time, real-time electricity data is collected. A data transmission network connection is established between the electricity meter and the concentrator, and the optimal data transmission path is automatically selected based on the network topology. This optimal path ensures the secure transmission of real-time electricity data collected by the electricity meter to the concentrator, guaranteeing data security. Preprocessing and secure storage of the real-time electricity data facilitates timely viewing. Analysis of the data allows for timely early warnings, alarms, and remote control, promptly addressing abnormal electricity consumption behavior. This system enables accurate collection, efficient transmission, and intelligent management of real-time electricity data, improving the effectiveness of electricity consumption control.

[0140] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0141] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A communication system for a concentrator-coordinated energy meter, characterized in that, include: The data acquisition module is used to collect real-time electricity consumption data from the built-in sensors of the electricity meter; The data transmission module is used to establish a data transmission network connection between the electricity meter and the concentrator, and to encrypt and transmit the real-time electricity consumption data collected by the electricity meter to the concentrator. The data processing module is used to preprocess real-time user electricity consumption data and securely store the real-time user electricity consumption data. The remote control module is used to analyze real-time user electricity consumption data and perform remote control based on the analysis results. After the electricity meter establishes a data transmission network connection with the concentrator through the data transmission communication interface that has successfully passed security verification, the saturation channel capacity ratio of the data transmission communication channel is set. After the energy meter establishes a data transmission network connection with the concentrator through the data transmission communication interface that has successfully passed security verification, the saturation channel capacity ratio of the data transmission communication channel is set, including the following operations: The data acquisition frequency for retrieving user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data from the electricity meter; The data collection frequencies of the user's electricity consumption data, user's power consumption data, user's voltage consumption data, and user's current consumption data are compared. When the data acquisition frequencies of the user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data are the same, retrieve the amount of user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data acquired each time. Based on the number of times user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data are collected per unit time, the total amount of user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data collected per unit time is obtained; and the saturation channel capacity ratio of the data transmission communication channel is set using the total amount of data collected. When the data acquisition frequencies of the user's electricity consumption data, user's power consumption data, user's voltage consumption data, and user's current consumption data are different, the data acquisition amount per unit time corresponding to the maximum value of the data acquisition frequencies of the user's electricity consumption data, user's power consumption data, user's voltage consumption data, and user's current consumption data is retrieved as the first data amount. The amount of real-time electricity consumption data of other users, excluding the maximum frequency value in the data acquisition frequency, is retrieved per unit time as the second data volume. The saturation channel capacity ratio of the data transmission communication channel is set based on the first data volume and the second data volume.

2. The communication system for a concentrator-coordinated energy meter as described in claim 1, characterized in that, Based on the first data volume and the second data volume, the saturation channel capacity ratio of the data transmission communication channel is set, and the following operations are performed: Retrieve the first and second data volumes; In addition to the first and second data volumes, the data transmission volume per unit time of other data within the data transmission communication channel is monitored in real time and used as the third data volume. For the third data volume generated in each unit of time, the difference between the third data volume generated in each unit of time and the first and second data volumes in the unit of time is compared to obtain the difference between the third data volume and the first data volume and the difference between the third data volume and the second data volume. The difference between the third data quantity and the first data quantity is taken as the first difference data. The difference between the third data quantity and the second data quantity is used as the second difference data. Obtain the first difference standard deviation data and the second difference standard deviation data based on the first difference data and the second difference data corresponding to each unit of time; The saturation channel capacity ratio of the data transmission communication channel is set using the first difference standard deviation data and the second difference standard deviation data.

3. The communication system for a concentrator-coordinated energy meter as described in claim 2, characterized in that, Based on the real-time electricity consumption data collected by the built-in sensor of the electricity meter, perform the following operations: The electricity meter uses a built-in power sensor to monitor the user's electricity consumption in real time and obtain the user's electricity consumption data. The power sensor built into the electricity meter is used to monitor the user's power consumption in real time and obtain the user's power consumption data. The electricity meter uses a built-in voltage sensor to monitor the user's electricity voltage in real time and obtain the user's electricity voltage data. The electricity meter uses a built-in current sensor to monitor the user's electricity current in real time and obtain the user's electricity current data. Specifically, real-time user electricity consumption data is determined based on user electricity consumption data, user power consumption data, user voltage consumption data, and user current consumption data.

4. The communication system for a concentrator-coordinated energy meter as described in claim 1, characterized in that, To establish a data transmission network connection between the electricity meter and the concentrator, perform the following operations: The electricity meter sends a command to the concentrator requesting the establishment of a data transmission network connection. After receiving the command from the electricity meter, the concentrator performs security verification on the electricity meter's data transmission communication interface. After the data transmission communication interface of the electricity meter is successfully verified, the concentrator sends an instruction to the electricity meter to agree to establish a data transmission network connection. After receiving the instruction from the concentrator, the electricity meter establishes a data transmission network connection with the concentrator through the successfully verified data transmission communication interface. After the electricity meter and the concentrator establish a data transmission network connection, the concentrator reads the user's real-time electricity consumption data from the electricity meter, automatically selects the optimal data transmission path according to the network topology, and transmits the user's real-time electricity consumption data to the concentrator through the optimal data transmission path, so that the concentrator can collect the user's real-time electricity consumption data periodically.

5. The communication system for a concentrator-coordinated energy meter as described in claim 4, characterized in that, The concentrator performs security verification on the data transmission communication interface of the electricity meter and performs the following operations: The data transmission communication interface of the electricity meter is compared and analyzed with that of the concentrator to assess whether the electricity meter is qualified to communicate with the concentrator. If the data transmission communication interface of the electricity meter is within the range of the data transmission communication interface of the concentrator, then the security verification of the data transmission communication interface of the electricity meter is successful, and the electricity meter is qualified to communicate with the concentrator via data transmission. If the data transmission communication interface of the electricity meter is not within the range of the data transmission communication interface of the concentrator, the security verification of the data transmission communication interface of the electricity meter will fail, and the electricity meter will not be qualified to communicate with the concentrator via data transmission.

6. The communication system for a concentrator-coordinated energy meter as described in claim 5, characterized in that, To transmit real-time user electricity consumption data to the concentrator, perform the following operations: The electricity meter uses an encryption key to encrypt the user's real-time electricity consumption data, and transmits the encrypted real-time electricity consumption data to the concentrator through the optimal data transmission path; After receiving the encrypted real-time electricity consumption data transmitted by the electricity meter, the concentrator uses a decryption key to decrypt the real-time electricity consumption data, thereby obtaining the decrypted real-time electricity consumption data and ensuring the security of real-time electricity consumption data transmission.

7. The communication system for a concentrator-coordinated energy meter as described in claim 6, characterized in that, Preprocess real-time user electricity consumption data and perform the following operations: Clean the real-time user electricity consumption data to remove noise and reduce the interference of noise in the real-time user electricity consumption data on the remote control of user electricity consumption. Check the real-time electricity consumption data of users, identify missing and outlier values ​​in the real-time electricity consumption data, and process the missing and outlier values ​​in the real-time electricity consumption data; Normalize the real-time electricity consumption data of users, convert the real-time electricity consumption data of users into a unified data format, remove the differences in units of measurement in the real-time electricity consumption data of users, and form standardized real-time electricity consumption data of users. Real-time user electricity consumption data is integrated, combining real-time user electricity consumption data from different sources into a unified data view. The integrity of the integrated real-time user electricity consumption data is verified. After the integrity verification of the integrated real-time user electricity consumption data is qualified, the integrated real-time user electricity consumption data is securely stored.

8. The communication system for a concentrator-coordinated energy meter as described in claim 7, characterized in that, Perform integrity verification on the integrated real-time user electricity consumption data, and perform the following operations: The integrated real-time user electricity consumption data is compared and analyzed with the real-time user electricity consumption data before integration to assess whether the integrated real-time user electricity consumption data is the same as the real-time user electricity consumption data before integration, and to determine the integrity of the integrated real-time user electricity consumption data. When the integrated real-time user electricity consumption data is the same as the real-time user electricity consumption data before integration, the integrated real-time user electricity consumption data has data integrity, that is, the integrated real-time user electricity consumption data does not lack data. When the integrated real-time user electricity consumption data differs from the original real-time user electricity consumption data, the integrated real-time user electricity consumption data lacks data integrity, meaning that the integrated real-time user electricity consumption data is missing data. In this case, the integrated real-time user electricity consumption data should be checked to find the missing data and fill in the missing data.

9. The communication system for a concentrator-coordinated energy meter as described in claim 8, characterized in that, Analyze real-time user electricity consumption data and perform the following operations: Pre-set user electricity consumption standard data, and analyze real-time user electricity consumption data based on user electricity consumption standard data to assess whether there are any abnormal behaviors in the current user electricity consumption, thereby determining the user electricity consumption analysis results; Specifically, when the user's electricity consumption analysis results indicate abnormal behavior in the current user's electricity consumption, the user's current electricity consumption will be remotely controlled to issue timely warnings and alarms and resolve the abnormal behavior.

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