CN115002035A - Power data transmission congestion evasion method based on service level - Google Patents

Power data transmission congestion evasion method based on service level Download PDF

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CN115002035A
CN115002035A CN202210742245.6A CN202210742245A CN115002035A CN 115002035 A CN115002035 A CN 115002035A CN 202210742245 A CN202210742245 A CN 202210742245A CN 115002035 A CN115002035 A CN 115002035A
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data
transmission
level
transmission channel
control center
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马光
方文崇
朱文
江伟
梁寿愚
周志烽
周华锋
李文朝
胡荣
李金�
樊腾飞
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China Southern Power Grid Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/11Identifying congestion
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/12Avoiding congestion; Recovering from congestion
    • H04L47/125Avoiding congestion; Recovering from congestion by balancing the load, e.g. traffic engineering

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Abstract

The invention relates to the field of power data transmission, and discloses a power data transmission congestion avoiding method based on service level, which comprises the following steps: according to the difference of the data size and the difference of the transmission time contained in the transmission task, different power data transmission sequences are designed, ordered transmission according to the grade is realized, and the timeliness and the reliability of the data are guaranteed; a feedback regulation mechanism based on a plurality of transmission channels with different grades is designed, the transmission frequency of normal data is adjusted, a screening algorithm for updating abnormal data is adopted, and the data is downloaded and deployed to a resident user side in a mode of calculating result data, so that the quality of data transmission of the resident user side is improved, the occupation amount of the transmission channels is reduced, and the timeliness of the data is guaranteed; and a bidirectional interaction process of data transmission is designed, so that reliable communication between the resident user side and the power control center is realized, and the reliability of data is guaranteed. The invention can reasonably and efficiently realize the transmission of the power data.

Description

Power data transmission congestion avoidance method based on service level
Technical Field
The invention relates to the field of power data transmission, in particular to a power data transmission congestion avoiding method based on service levels.
Background
In the traditional electric power data transmission scheme, data collected by electric power resident user terminals are transmitted to a main station for unified centralized processing, and the scene of data transmission is single and simple. In recent years, power enterprises apply edge computing technology to power service systems, power consumption data of users are collected at high frequency, preliminary abnormal judgment can be carried out on the power consumption data at residential user sides, and thus data needing to be transmitted are changed from single power consumption data into power consumption data within a load range and overload power consumption data. Meanwhile, the residential user side also needs to obtain codes and parameter configurations needed by calculation at the edge from the power control center, so that data is converted from unidirectional transmission to bidirectional data transmission, namely, transmission of normal and overload power utilization data and update downloading of calculation result data.
The patent with the application number of CN200910101163.8 discloses a power data transmission method of a remote meter reading system, in the method, when the remote meter reading system collects new power data, a normal work master station receives the new power data, then the normal work master station performs power data updating work, the normal work master station transmits the updated power data to a backup master station for backup, and before the normal work master station receives the new power data, a concentrator firstly transmits the new power data to a cache module for caching; the normal operation master station receives the new power data, namely, the normal operation master station reads the power data from the buffer module to receive the new power data; and after the normal working master station transmits the updated power data to the backup master station for backup, the cache module deletes the power data transmitted from the concentrator at this time and waits for receiving new power data transmitted from the concentrator next time.
Patent publication No. CN202110835485.6 discloses a power data transmission method and system, the power data transmission method including: acquiring a first protection message sent by an encryption module; the first protection message is generated by the encryption module acquiring first request data sent by the application module, encrypting the first request data based on a cryptographic algorithm and performing integrity protection processing; the encryption module and the application module are arranged in the power terminal; integrity verification and decryption are carried out on the first protection message based on a state cryptographic algorithm, and then second request data are obtained and sent to a monitoring server; receiving feedback data sent by the monitoring server, encrypting and performing integrity protection processing on the feedback data based on a national cipher algorithm to obtain a second protection message, and sending the second protection message to an encryption module; and the second protection message is used for obtaining response data and sending the response data to the application module after the encryption module carries out integrity verification and decryption based on a state cryptographic algorithm. The technical scheme that this application provided is favorable to improving the communication security of electric power data transmission system.
However, in the existing scheme, it is impossible to cope with different levels of transmission scenarios, and it is further impossible to solve the problem of simultaneous transmission of data with various aging requirements.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides a power data transmission congestion avoiding method based on the service level, and can reasonably and efficiently realize the transmission of power data.
One technical scheme for achieving the above purpose is as follows: a power data transmission congestion avoidance method based on service level is used for data transmission from residential user sides to a power control center, the transmitted data are divided into power utilization data and overload power utilization data within a load range, and the method comprises the following steps:
before the electric power data are transmitted, different electric power data transmission sequences are designed by using the requirements of an electric power control center on the data volume and the transmission time during data transmission, wherein the level of the overload power consumption data is higher than the power consumption data within a load range, the power consumption data of different types of users are placed into corresponding transmission channels of different levels, the level of the data in the transmission channels is adjusted in real time before data transmission is performed each time, and the data with the highest level are selected for transmission;
when electric power data are transmitted and low-level transmission tasks exist in part of transmission channels for a long time, the electric power control center is informed to perform abnormity detection by using a corresponding detection algorithm by using a positive and negative feedback method, and the result calculated by the algorithm is transmitted to a resident user side, so that the detection capability of the electric power control center on the abnormal data is improved, the occupied amount of the transmission channels is reduced, and the transmission efficiency of the electric power data is improved;
in the process of processing bidirectional data transmission between a resident user side and an electric power control center, firstly, sending an electric quantity demand signal through the resident user side, and responding by the electric power control center according to relevant demand information; if data transmission is needed, classifying the data and sending the data according to the category; after the transmission is finished, the resident user side sends a finish notice to inform the power control center of finishing the data transmission; the power control center receives the signal and responds to the completion notice, and the data transmission process is finished.
The detection algorithm comprises the following steps:
step A1: calculating the total amount of backlog data generated by a normal data transmission task, wherein the expression is as follows:
Figure BDA0003715692650000031
wherein, M represents the total amount of backlog data generated by a normal data transmission task, M represents the backlog data generated by the normal data transmission task in unit time, e represents the bandwidth of a transmission channel, and t represents a time window when a resident user side and a power control center transmit data;
step A2: extracting backlog related characteristic quantity from the total backlog data quantity, automatically distributing the bidirectional data transmission of the residential user side and the electric power control center according to the characteristic spectrum to obtain the correlation characteristic value of the data transmission backlog, wherein the expression is as follows:
Figure BDA0003715692650000032
wherein C represents a characteristic value of the degree of association,
Figure BDA0003715692650000033
the gain coefficient is T, the duration of backlog data is represented by T, and the characteristic quantity of bidirectional data transmission of the residential user side and the electric power control center is represented by z;
step A3: under the guidance of the association rule, obtaining a fuzzy function of the two-way data transmission process of the residential user side and the electric power control center, wherein the expression is as follows:
Figure BDA0003715692650000041
wherein f represents a fuzzy function, k represents the length of a data transmission channel, l represents the distance between different residential users, and mu represents a fuzzy clustering center in the data transmission process;
step A4: energy loss function calculation of the bidirectional data transmission process of the residential user side and the electric power control center is carried out, and the expression is as follows:
Figure BDA0003715692650000042
where s denotes a transmission path, q 1 Indicating the location of the resident user, q 2 Position coordinates of the power control center, d a transmission channel data productThe distance of the pressure point from the power control center, r represents the impedance of the transmission channel,
step A5: and then, obtaining a balanced deployment model of bidirectional data transmission of the residential user side and the power control center by searching feature distribution sets of other transmission channels:
Figure BDA0003715692650000043
where V represents the equilibrium deployment function, μ i The method comprises the steps of representing the ith fuzzy cluster center in the data transmission process, representing the total number of the fuzzy cluster centers, representing a fuzzy function by f, representing the overstocked data packet synthesis by m, representing a fitness function distributed by a transmission channel by g, representing the measurement distance between the characteristic cluster center and a measured sample by L, and representing an energy loss function by B.
Further, the transmission channels of different levels include the following five levels, from the first level to the fifth level, the first level transmission channel has the highest transmission task level, and the fifth level transmission channel has the lowest transmission task level;
first-level transmission channels: transmitting power data of the military; the level in the transmission channel of the same level is changed along with the time of entering the transmission channel, and the task level entering the transmission channel of the first level is higher;
second level transmission channel: the electric power data of national units and public institutions are transmitted, the task level of the peer-level transmission channel is higher as the level changes along with the time of entering the transmission channel, and the task level of the first-level transmission channel is higher;
third level transmission channel: transmitting power data of a large enterprise; the task level of the transmission channel of the same level entering the first level is higher along with the time change of entering the transmission channel;
fourth level transmission channel: the power data of the small and micro enterprises are transmitted, and the task level of the peer transmission channel entering the first level transmission channel is higher along with the time change of entering the transmission channel;
fifth level transmission channel: the electric power data of common residents are transmitted, the task level of the transmission channel of the same level is higher as the level in the transmission channel of the same level changes along with the time of entering the transmission channel, and the task level of the transmission channel of the first level is higher.
Further, the positive feedback mechanism includes: when the backlog of normal data transmission tasks of a specified quantity continuously appears in the fourth level transmission channel and the fifth level transmission channel, the data transmission of the residential user side is abnormal or the abnormal detection algorithm needs to be adjusted, the residential user side sends an electric quantity demand signal, the notification of the updating algorithm and the adjustment of the transmission frequency of the power control center are completed, and the result calculated by the algorithm is sent to the residential user side from the power control center.
Has the beneficial effects that:
the electric power data transmission congestion avoiding method based on the service level adopts a data transmission scheme of a plurality of transmission channels with different levels to ensure that electric power data with different transmission time are reliably transmitted between an intelligent resident user side and an electric power control center, and reasonably adjusts the transmission sequence of the electric power data aiming at the difference of the electric power data of the military, the electric power data of the national units and the public institutions, the electric power data of large-scale enterprises, the electric power data of small and micro enterprises and the electric power data levels of common residents, and ensures the efficiency of data transmission; the detection algorithm of the resident user end on abnormal data and the transmission frequency of normal data are adjusted by a positive and negative feedback method, and the overall operation efficiency is improved. Compared with the traditional scheme, the method can dynamically adjust the level of data transmission according to different requirements of practical scenes on timeliness of the electric power data, and improve the quality of the whole electric power service system. On the other hand, the transmission frequency is adjusted in real time and the corresponding abnormal detection algorithm is updated through the positive feedback mechanism of the transmission channels with different levels, so that the abnormal detection efficiency and the diagnosis capability of the resident user side are improved, and the safety of the electricity consumption of residents is ensured.
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FIG. 1 is an overall process flow diagram of the present invention;
FIG. 2 is a diagram of bidirectional data transmission between residential customer and power control center according to the present invention;
FIG. 3 is a flow chart of the detection algorithm of the present invention;
FIG. 4 is a transmission channel level diagram of the present invention
FIG. 5 is a schematic diagram of a first level transmission channel according to the present invention;
FIG. 6 is a schematic diagram of a second level transport channel according to the present invention;
FIG. 7 is a schematic diagram of a third level transmission channel according to the present invention;
FIG. 8 is a schematic diagram of a fourth level transmission channel according to the present invention;
FIG. 9 is a diagram of a fifth level transmission channel according to the present invention.
Detailed Description
In order to better understand the technical solution of the present invention, the following detailed description is made by specific examples:
the invention mainly provides a solution for electric power data transmission between the resident user side and the electric power control center.
As shown in fig. 1, the resident user terminal performs high-frequency acquisition and compression on the electricity consumption information of the user, extracts data at regular time and transmits the data to the power control center, and the power control center confirms the running state of the resident user terminal and daily electricity consumption behaviors of the casual inspection user; on the other hand, the data acquired at high frequency are subjected to abnormal behavior detection, abnormal electricity utilization data are screened out, compressed into data packets and transmitted to the power control center in real time, and the power control center further judges the abnormal electricity utilization data; and the power control center updates the frequency of the timing transmission and the algorithm of the abnormity detection according to the requirements of the actual deployment scene, and transmits the data to the resident user side through the calculation result. The algorithm of the anomaly detection of the resident user side is not fixed and unchangeable, the power control center updates the algorithm of the anomaly detection based on a machine learning method according to the recently received power utilization data, and the algorithms need to be issued to the resident user side. The resident user side can also feed back to the power control center according to the state of the transmission channel, and adjust the screening strategy of abnormal data in time, so as to ensure that the transmitted transmission channels with different levels meet the requirements of timeliness and reliability.
As shown in fig. 2, the power data to be transmitted mainly includes three categories:
the resident user side transmits normal data at regular time, and the power control center receives the data;
the resident user side transmits abnormal data, and the electric power control center receives the data;
and the resident user side initiates a completion notice to the power control center and downloads the calculation result data from the power control center.
The transmission process of the power data comprises three parts: the realization of transmission channels of different grades, a positive feedback mechanism and the bidirectional transmission of data. The resident user side can continuously collect data to generate transmission tasks, the transmission tasks are put into a plurality of transmission channels with different grades, the task with the highest grade is selected, and corresponding data are transmitted through a bidirectional transmission mechanism.
As shown in fig. 3, the detection algorithm has the following steps:
step A1: calculating the total amount of backlog data generated by a normal data transmission task, wherein the expression is as follows:
Figure BDA0003715692650000071
wherein, M represents the total amount of backlog data generated by a normal data transmission task, M represents the backlog data generated by the normal data transmission task in unit time, e represents the bandwidth of a transmission channel, and t represents a time window when a resident user side and a power control center transmit data;
step A2: extracting backlog related characteristic quantity from the total backlog data quantity, automatically distributing the bidirectional data transmission of the residential user side and the electric power control center according to the characteristic spectrum to obtain the correlation characteristic value of the data transmission backlog, wherein the expression is as follows:
Figure BDA0003715692650000081
wherein C represents a characteristic value of the degree of association,
Figure BDA0003715692650000082
the gain coefficient is T, the duration of backlog data is represented by T, and the characteristic quantity of bidirectional data transmission of the residential user side and the electric power control center is represented by z;
step A3: under the guidance of the association rule, obtaining a fuzzy function of the two-way data transmission process of the residential user side and the electric power control center, wherein the expression is as follows:
Figure BDA0003715692650000083
wherein f represents a fuzzy function, k represents the length of a data transmission channel, l represents the distance between different residential users, and mu represents a fuzzy clustering center in the data transmission process;
step A4: energy loss function calculation of the bidirectional data transmission process of the residential user side and the electric power control center is carried out, and the expression is as follows:
Figure BDA0003715692650000084
where s denotes a transmission path, q 1 Indicating the location of the resident user, q 2 Position coordinates of the power control center, d represents a distance between the transmission channel data backlog and the power control center, r represents impedance of the transmission channel,
step A5: then, a balanced deployment model of the bidirectional data transmission of the residential user side and the electric power control center is obtained by searching feature distribution sets of other transmission channels:
Figure BDA0003715692650000091
where V represents the equilibrium deployment function, μ i The ith fuzzy cluster center of the data transmission process is shown, n represents the total number of fuzzy cluster centers, f represents a modulusThe fuzzy function, m represents the backlog of data packets, g represents the fitness function of transmission channel distribution, L represents the measure distance between the characteristic cluster center and the measured sample, and B represents the energy loss function.
As shown in fig. 4, transmission channels of different grades
Before the transmission task starts, five classes of grades are designed according to the difference of the task generation time and the difference of the related attributes of the transmission content (the category, the generation time and the like of data), and from the first grade to the fifth grade, the grade of the transmission task in the transmission channel of the first grade is the highest, and the grade of the transmission task in the transmission channel of the fifth grade is the lowest.
As shown in fig. 5, the first level transmission channel: transmitting power data of the military; the level in the transmission channel of the same level changes along with the time of entering the transmission channel, and the task level entering the first level transmission channel at first is the highest.
As shown in fig. 6, the second level transmission channel: the electric power data of national units and public institutions are transmitted, the level in the same level transmission channel changes along with the time of entering the transmission channel, and the task level entering the first level transmission channel is higher.
As shown in fig. 7, the third level transmission channel: transmitting power data of a large enterprise; the level in the transmission channel of the same level is changed along with the time of entering the transmission channel, and the task level entering the transmission channel of the first level is higher.
As shown in fig. 8, the fourth level of transmission channels: the electric power data of the small and micro enterprises are transmitted, the task level of the peer transmission channel entering the first level transmission channel is higher along with the time change of entering the transmission channel.
As shown in fig. 9, the fifth level transmission channel: the electric power data of common residents are transmitted, the task level of the transmission channel of the same level is higher as the level in the transmission channel of the same level changes along with the time of entering the transmission channel, and the task level of the transmission channel of the first level is higher.
There are 3 types of data transmission between the residential customer side and the power control center: abnormal data transmission, normal data transmission and calculation result data downloading.
And for the task of transmitting abnormal data, initially putting the task into a second-level transmission channel. And when the abnormal data in the second-level transmission channel exceeds the time limit, the abnormal data is transferred into a third-level transmission channel.
The task of transmitting normal data is put into the fourth level transmission channel, and a transmission task (a short signal) of the electric quantity demand signal is generated and put into the first level transmission channel. The main function of the electric quantity demand signal is to transmit the state information of the resident user terminal; the power control center is informed that the data transmitted at regular time is postponed to be transmitted, and the data is transmitted only after abnormal data with higher time requirement is completely transmitted. The main requirements contained in the electric quantity demand signal comprise information of a resident user side and normal data.
The task of informing the download of the calculation result data is put into the fifth level transmission channel.
Positive and negative feedback mechanism
When the actual effect of the anomaly detection algorithm is poor, the frequency of regularly transmitting normal data is too high, or the network condition is poor, the task completion speed is easily lower than the task generation speed, the transmission tasks of low-level normal data and calculation result data are overstocked, and a positive and negative feedback method is needed to be used for adjusting the anomaly detection algorithm and the transmission cycle of a resident user side, so that the diagnosis efficiency of the system is improved, and the data transmission pressure is reduced.
The invention realizes a positive feedback mechanism on the basis of a plurality of transmission channels with different grades. The concrete implementation is as follows:
when a specified number of backlogs of normal data transmission tasks continuously appear in the fourth-level transmission channel and the fifth-level transmission channel, the data transmission at the resident user side is abnormal or a certain adjustment space exists in an abnormal detection algorithm. The resident user terminal sends an electric quantity demand signal, finishes informing the electric power control center to update the algorithm and adjust the transmission frequency, and sends the result calculated by the algorithm to the resident user terminal from the electric power control center.
The fourth task is backlogged in the fourth-level transmission channel, a calculation result data updating task is sent out and is placed in the first-level transmission channel to update the calculation result data, but the original transmission task in the fourth-level transmission channel is not changed.
And accumulating a second task in the fifth-level transmission channel, sending an electric quantity demand signal, finishing the notification updating algorithm and the timing transmission frequency, inserting the task sending the electric quantity demand signal into the first-level transmission channel, simultaneously generating a task of downloading the calculation result data, and canceling all tasks in the fifth-level transmission channel. The former task of completing notification is to complete notification of updating algorithm and frequency information of the power control center and store the calculation result data in the power control center; the second goal of completing the notification task is to download new calculation result data from the power control center.
Bidirectional transmission mechanism of data
There are many data interactions in the transmission task, and a reliable two-way transmission mechanism needs to be designed,
the first step is as follows: the method comprises the steps that a resident user side sends an electric quantity demand signal, wherein the signal comprises the types of transmission tasks (normal transmission data, abnormal transmission data, calculation result data downloading, electric quantity demand signal sending and the like), ID of the resident user side, state information of the resident user side, a file name to be transmitted and the like; the power control center receives the electric quantity demand signal, processes corresponding demands according to task types, and generates a response signal, wherein the signal mainly comprises the demands such as state codes. The task type is file transmission, and the power control center needs to prepare for receiving a data packet according to a file name; the task type is to download the calculation result data, and the power control center searches a corresponding file according to the file name and prepares to send the file; the task type is that notification is finished, normal data are delayed to be sent, and the power control center needs to verify the state information of the resident user side; the task type is that the notification of updating algorithm and transmission frequency is completed, the power control center needs to update the algorithm and the frequency, and the result calculated by the algorithm is stored and waits for downloading.
If the transmission task is only to transmit the 'electric quantity demand signal', the next step is not needed, and if the transmission task is needed to transmit data, the next step is carried out.
The second step is that: and if the interaction between the resident user side and the power control center is successful and the data needs to be transmitted, the data is divided into small data packets and transmitted in a segmented mode. If the transmission task is carried out, the resident user side divides the data and then sends the data to the power control center. And if the task is a task of downloading the calculation result data, the power control center segments the data and sends the data to the resident user side.
The third step: the resident user terminal sends an electric quantity demand signal, and the demand in the signal comprises an ending demand (representing that the data packet transmission is ended), a hash code of a file and the like. The power control center receives the electric quantity demand signal, compares a value corresponding to the hash code demand with the hash code of the transmitted file, checks whether the file is transmitted correctly, and generates a response signal, wherein the demand in the signal comprises an end demand (end confirmation), a state code and the like. If the state code indicates that the file transmission is abnormal, re-entering the first step; otherwise, the transmission is finished and the task is finished.
It should be understood by those skilled in the art that the above embodiments are only for illustrating the present invention and are not to be used as a limitation of the present invention, and that changes and modifications to the above described embodiments are within the scope of the claims of the present invention as long as they are within the spirit and scope of the present invention.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "fixed" are to be construed broadly, e.g., as meaning either fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art through specific situations.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various equivalent changes, modifications, substitutions and alterations can be made herein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. A power data transmission congestion avoidance method based on service level is used for transmitting data from residential user terminals to a power control center, and the transmitted data is divided into power utilization data and overload power utilization data within a load range, and is characterized by comprising the following contents:
step S1: before the electric power data are transmitted, different electric power data transmission sequences are designed by using the requirements of an electric power control center on the data volume and the transmission time during data transmission, wherein the level of the overload power consumption data is higher than that of the power consumption data in a load range, the power consumption data of different types of users are placed into corresponding transmission channels with different levels, the level of the data in the transmission channels is adjusted in real time before each data transmission, and the data with the highest level are selected for transmission;
step S2: when electric power data are transmitted and low-level transmission tasks exist in part of transmission channels for a long time, the electric power control center is informed to perform abnormity detection by using a corresponding detection algorithm by using a positive and negative feedback method, and the result calculated by the algorithm is transmitted to a resident user side, so that the detection capability of the electric power control center on the abnormal data is improved, the occupied amount of the transmission channels is reduced, and the transmission efficiency of the electric power data is improved;
step S3: and processing the bidirectional data transmission process of the residential user side and the electric power control center.
2. The service level-based electric power data transmission congestion avoidance method according to claim 1, wherein the processing of bidirectional data transmission process between the residential user side and the electric power control center is performed by firstly sending an electric quantity demand signal through the residential user side, and the electric power control center responding according to relevant demand information; next, if data transmission is needed, classifying the data and sending the data according to the classes; after the transmission is finished, the resident user side sends a finishing notice to inform the power control center that the data transmission is finished; the power control center receives the signal and responds to the completion notice, and the data transmission process is finished.
3. The service level-based power data transmission congestion avoidance method according to claim 2, wherein the detection algorithm comprises the following steps:
step A1: calculating the total backlog data amount generated by a normal data transmission task, wherein the expression is as follows:
Figure FDA0003715692640000011
wherein, M represents the total amount of backlog data generated by a normal data transmission task, M represents the backlog data generated by the normal data transmission task in unit time, e represents the bandwidth of a transmission channel, and t represents a time window when a resident user side and a power control center perform data transmission;
step A2: extracting backlog related characteristic quantity from the total backlog data quantity, automatically distributing the bidirectional data transmission of the residential user side and the electric power control center according to the characteristic spectrum to obtain the correlation characteristic value of the data transmission backlog, wherein the expression is as follows:
Figure FDA0003715692640000021
wherein C represents a characteristic value of the degree of association,
Figure FDA0003715692640000022
t represents the duration of backlog data, and z represents the characteristic quantity of bidirectional data transmission between a residential user side and an electric power control center;
step A3: under the guidance of the association rule, obtaining a ambiguity function of the two-way data transmission process of the residential user side and the electric power control center, wherein the expression is as follows:
Figure FDA0003715692640000023
wherein f represents a fuzzy function, k represents the length of a data transmission channel, l represents the distance between different residential users, and mu represents a fuzzy clustering center in the data transmission process;
step A4: energy loss function calculation of the bidirectional data transmission process of the residential user side and the electric power control center is carried out, and the expression is as follows:
Figure FDA0003715692640000024
where s denotes a transmission path, q 1 Indicating the location of the resident user, q 2 Position coordinates of the power control center, d a distance between the transmission channel data backlog and the power control center, r an impedance of the transmission channel,
step A5: and then, obtaining a balanced deployment model of bidirectional data transmission of the residential user side and the power control center by searching feature distribution sets of other transmission channels:
Figure FDA0003715692640000031
where V represents the equilibrium deployment function, μ i The method comprises the steps of representing the ith fuzzy cluster center in the data transmission process, representing the total number of the fuzzy cluster centers, representing a fuzzy function by f, representing the overstocked data packet synthesis by m, representing a fitness function distributed by a transmission channel by g, representing the measurement distance between the characteristic cluster center and a measured sample by L, and representing an energy loss function by B.
4. The service level-based power data transmission congestion avoidance method according to claim 3, wherein the transmission channels of different levels include a first level transmission channel, a second level transmission channel, a third level transmission channel, a fourth level transmission channel, and a fifth level transmission channel, and from the first level to the fifth level, the level of the transmission task in the first level transmission channel is the highest, and the level of the transmission task in the fifth level transmission channel is the lowest.
5. The service level-based power data transmission congestion avoidance method according to claim 4, wherein the first level transmission channel: transmitting power data of the military; the task level of the transmission channel of the same level is higher when the level of the transmission channel of the same level enters the first level transmission channel first along with the time change of entering the transmission channel.
6. The service level-based power data transmission congestion avoidance method according to claim 5, wherein the second level transmission channel: the electric power data of national units and public institutions are transmitted, the level in the same level transmission channel changes along with the time of entering the transmission channel, and the task level entering the first level transmission channel is higher.
7. The service level-based power data transmission congestion avoidance method according to claim 6, wherein the third level transmission channel: transmitting power data of a large enterprise; the level in the transmission channel of the same level is changed along with the time of entering the transmission channel, and the task level entering the transmission channel of the first level is higher.
8. The service level-based power data transmission congestion avoidance method according to claim 7, wherein the fourth level transmission channel: the electric power data of the small and micro enterprises are transmitted, the task level of the peer transmission channel entering the first level transmission channel is higher along with the time change of entering the transmission channel.
9. The service level-based power data transmission congestion avoidance method according to claim 8, wherein the fifth level transmission channel: the electric power data of common residents are transmitted, the level in the peer transmission channel changes along with the time of entering the transmission channel, and the task level entering the first level transmission channel is higher.
10. The service level-based power data transmission congestion avoidance method according to claim 9, wherein the positive and negative feedback method comprises: when the backlog of normal data transmission tasks of a specified quantity continuously appears in the fourth level transmission channel and the fifth level transmission channel, the data transmission of the residential user side is abnormal or the abnormal detection algorithm needs to be adjusted, the residential user side sends an electric quantity demand signal, the notification of the updating algorithm and the adjustment of the transmission frequency of the power control center are completed, and the result calculated by the algorithm is sent to the residential user side from the power control center.
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